id	sid	tid	token	lemma	pos
faba-265	1	1	82	82	NUM
faba-265	1	2	finance	finance	NOUN
faba-265	1	3	,	,	PUNCT
faba-265	1	4	accounting	accounting	NOUN
faba-265	1	5	and	and	CCONJ
faba-265	1	6	business	business	NOUN
faba-265	1	7	analysis	analysis	NOUN
faba-265	1	8	volume	volume	NOUN
faba-265	1	9	7	7	NUM
faba-265	1	10	issue	issue	NOUN
faba-265	1	11	1	1	NUM
faba-265	1	12	,	,	PUNCT
faba-265	1	13	2025	2025	NUM
faba-265	1	14	http://faba.bg/	http://faba.bg/	NOUN
faba-265	1	15	issn	issn	VERB
faba-265	1	16	2603	2603	NUM
faba-265	1	17	-	-	SYM
faba-265	1	18	5324	5324	NUM
faba-265	1	19	doi	doi	NOUN
faba-265	1	20	:	:	PUNCT
faba-265	1	21	https://doi.org/10.37075/faba.2025.1.07	https://doi.org/10.37075/faba.2025.1.07	PROPN
faba-265	1	22	portfolio	portfolio	NOUN
faba-265	1	23	optimization	optimization	NOUN
faba-265	1	24	based	base	VERB
faba-265	1	25	on	on	ADP
faba-265	1	26	mpt	mpt	PROPN
faba-265	1	27	-	-	PUNCT
faba-265	1	28	lstm	lstm	ADJ
faba-265	1	29	neural	neural	ADJ
faba-265	1	30	networks	network	NOUN
faba-265	1	31	:	:	PUNCT
faba-265	1	32	a	a	DET
faba-265	1	33	case	case	NOUN
faba-265	1	34	study	study	NOUN
faba-265	1	35	of	of	ADP
faba-265	1	36	cryptocurrency	cryptocurrency	NOUN
faba-265	1	37	markets	market	NOUN
faba-265	1	38	habib	habib	PROPN
faba-265	1	39	zouaoui1	zouaoui1	PROPN
faba-265	1	40	*	*	PUNCT
faba-265	1	41	,	,	PUNCT
faba-265	1	42	meryem	meryem	NOUN
faba-265	1	43	-	-	PUNCT
faba-265	1	44	nadjat	nadjat	NOUN
faba-265	1	45	naas2	naas2	PROPN
faba-265	1	46	department	department	PROPN
faba-265	1	47	of	of	ADP
faba-265	1	48	finance	finance	NOUN
faba-265	1	49	and	and	CCONJ
faba-265	1	50	accounting	accounting	NOUN
faba-265	1	51	,	,	PUNCT
faba-265	1	52	university	university	NOUN
faba-265	1	53	of	of	ADP
faba-265	1	54	relizane	relizane	ADJ
faba-265	1	55	,	,	PUNCT
faba-265	1	56	relizane	relizane	ADJ
faba-265	1	57	,	,	PUNCT
faba-265	1	58	algeria1	algeria1	PROPN
faba-265	1	59	department	department	PROPN
faba-265	1	60	of	of	ADP
faba-265	1	61	management	management	NOUN
faba-265	1	62	,	,	PUNCT
faba-265	1	63	university	university	NOUN
faba-265	1	64	of	of	ADP
faba-265	1	65	relizane	relizane	ADJ
faba-265	1	66	,	,	PUNCT
faba-265	1	67	relizane	relizane	ADJ
faba-265	1	68	,	,	PUNCT
faba-265	1	69	algeria2	algeria2	NOUN
faba-265	1	70	*	*	PUNCT
faba-265	1	71	corresponding	correspond	VERB
faba-265	1	72	author	author	NOUN
faba-265	1	73	info	info	NOUN
faba-265	1	74	articles	article	NOUN
faba-265	1	75	abstract	abstract	ADJ
faba-265	1	76	history	history	NOUN
faba-265	1	77	article	article	NOUN
faba-265	1	78	:	:	PUNCT
faba-265	1	79	submitted	submit	VERB
faba-265	1	80	19	19	NUM
faba-265	1	81	february	february	NOUN
faba-265	1	82	2025	2025	NUM
faba-265	1	83	revised	revise	VERB
faba-265	1	84	19	19	NUM
faba-265	1	85	may	may	AUX
faba-265	1	86	2025	2025	NUM
faba-265	1	87	accepted	accept	VERB
faba-265	1	88	22	22	NUM
faba-265	1	89	may	may	AUX
faba-265	1	90	2025	2025	NUM
faba-265	1	91	purpose	purpose	NOUN
faba-265	1	92	:	:	PUNCT
faba-265	1	93	this	this	DET
faba-265	1	94	study	study	NOUN
faba-265	1	95	aims	aim	VERB
faba-265	1	96	to	to	PART
faba-265	1	97	examines	examines	VERB
faba-265	1	98	advanced	advanced	ADJ
faba-265	1	99	portfolio	portfolio	NOUN
faba-265	1	100	management	management	NOUN
faba-265	1	101	techniques	technique	NOUN
faba-265	1	102	using	use	VERB
faba-265	1	103	long	long	ADJ
faba-265	1	104	short	short	ADJ
faba-265	1	105	-	-	PUNCT
faba-265	1	106	term	term	NOUN
faba-265	1	107	memory	memory	NOUN
faba-265	1	108	(	(	PUNCT
faba-265	1	109	lstm	lstm	NOUN
faba-265	1	110	)	)	PUNCT
faba-265	1	111	networks	network	NOUN
faba-265	1	112	,	,	PUNCT
faba-265	1	113	the	the	DET
faba-265	1	114	study	study	NOUN
faba-265	1	115	was	be	AUX
faba-265	1	116	applied	apply	VERB
faba-265	1	117	to	to	ADP
faba-265	1	118	investing	invest	VERB
faba-265	1	119	in	in	ADP
faba-265	1	120	cryptocurrencies	cryptocurrencie	NOUN
faba-265	1	121	whose	whose	DET
faba-265	1	122	markets	market	NOUN
faba-265	1	123	are	be	AUX
faba-265	1	124	characterized	characterize	VERB
faba-265	1	125	by	by	ADP
faba-265	1	126	high	high	ADJ
faba-265	1	127	-	-	PUNCT
faba-265	1	128	frequency	frequency	NOUN
faba-265	1	129	trading	trading	NOUN
faba-265	1	130	,	,	PUNCT
faba-265	1	131	and	and	CCONJ
faba-265	1	132	using	use	VERB
faba-265	1	133	behavioral	behavioral	ADJ
faba-265	1	134	finance	finance	NOUN
faba-265	1	135	models	model	NOUN
faba-265	1	136	based	base	VERB
faba-265	1	137	on	on	ADP
faba-265	1	138	the	the	DET
faba-265	1	139	concept	concept	NOUN
faba-265	1	140	of	of	ADP
faba-265	1	141	return	return	NOUN
faba-265	1	142	-	-	PUNCT
faba-265	1	143	risk	risk	NOUN
faba-265	1	144	and	and	CCONJ
faba-265	1	145	deep	deep	ADJ
faba-265	1	146	learning	learning	NOUN
faba-265	1	147	based	base	VERB
faba-265	1	148	on	on	ADP
faba-265	1	149	the	the	DET
faba-265	1	150	work	work	NOUN
faba-265	1	151	of	of	ADP
faba-265	1	152	artificial	artificial	ADJ
faba-265	1	153	neural	neural	ADJ
faba-265	1	154	networks	network	NOUN
faba-265	1	155	(	(	PUNCT
faba-265	1	156	ann	ann	PROPN
faba-265	1	157	)	)	PUNCT
faba-265	1	158	and	and	CCONJ
faba-265	1	159	long	long	ADJ
faba-265	1	160	-	-	PUNCT
faba-265	1	161	term	term	NOUN
faba-265	1	162	memory	memory	NOUN
faba-265	1	163	(	(	PUNCT
faba-265	1	164	lstm	lstm	NOUN
faba-265	1	165	)	)	PUNCT
faba-265	1	166	algorithms	algorithm	NOUN
faba-265	1	167	design	design	NOUN
faba-265	1	168	/	/	SYM
faba-265	1	169	methodology	methodology	NOUN
faba-265	1	170	/	/	SYM
faba-265	1	171	approach	approach	NOUN
faba-265	1	172	:	:	PUNCT
faba-265	1	173	this	this	DET
faba-265	1	174	study	study	NOUN
faba-265	1	175	adopts	adopt	VERB
faba-265	1	176	quantitative	quantitative	ADJ
faba-265	1	177	approach	approach	NOUN
faba-265	1	178	.	.	PUNCT
faba-265	2	1	moreover	moreover	ADV
faba-265	2	2	,	,	PUNCT
faba-265	2	3	a	a	DET
faba-265	2	4	random	random	ADJ
faba-265	2	5	portfolio	portfolio	NOUN
faba-265	2	6	consisting	consist	VERB
faba-265	2	7	of	of	ADP
faba-265	2	8	25	25	NUM
faba-265	2	9	cryptocurrencies	cryptocurrencie	NOUN
faba-265	2	10	was	be	AUX
faba-265	2	11	selected	select	VERB
faba-265	2	12	based	base	VERB
faba-265	2	13	on	on	ADP
faba-265	2	14	the	the	DET
faba-265	2	15	database	database	NOUN
faba-265	2	16	of	of	ADP
faba-265	2	17	the	the	DET
faba-265	2	18	website	website	NOUN
faba-265	2	19	:	:	PUNCT
faba-265	2	20	https://finance.yahoo.com/crypto/	https://finance.yahoo.com/crypto/	VERB
faba-265	2	21	during	during	ADP
faba-265	2	22	the	the	DET
faba-265	2	23	period	period	NOUN
faba-265	2	24	2021	2021	NUM
faba-265	2	25	-	-	SYM
faba-265	2	26	2024	2024	NUM
faba-265	2	27	ad	ad	NOUN
faba-265	2	28	and	and	CCONJ
faba-265	2	29	programming	program	VERB
faba-265	2	30	the	the	DET
faba-265	2	31	python	python	NOUN
faba-265	2	32	language	language	NOUN
faba-265	2	33	.	.	PUNCT
faba-265	3	1	and	and	CCONJ
faba-265	3	2	an	an	DET
faba-265	3	3	attempt	attempt	NOUN
faba-265	3	4	to	to	PART
faba-265	3	5	evaluate	evaluate	VERB
faba-265	3	6	the	the	DET
faba-265	3	7	performance	performance	NOUN
faba-265	3	8	of	of	ADP
faba-265	3	9	the	the	DET
faba-265	3	10	models	model	NOUN
faba-265	3	11	used	use	VERB
faba-265	3	12	in	in	ADP
faba-265	3	13	accurately	accurately	ADV
faba-265	3	14	predicting	predict	VERB
faba-265	3	15	the	the	DET
faba-265	3	16	optimal	optimal	ADJ
faba-265	3	17	relative	relative	ADJ
faba-265	3	18	weights	weight	NOUN
faba-265	3	19	of	of	ADP
faba-265	3	20	the	the	DET
faba-265	3	21	investment	investment	NOUN
faba-265	3	22	portfolio	portfolio	NOUN
faba-265	3	23	,	,	PUNCT
faba-265	3	24	which	which	PRON
faba-265	3	25	proved	prove	VERB
faba-265	3	26	the	the	DET
faba-265	3	27	relative	relative	ADJ
faba-265	3	28	effectiveness	effectiveness	NOUN
faba-265	3	29	of	of	ADP
faba-265	3	30	deep	deep	ADJ
faba-265	3	31	learning	learning	NOUN
faba-265	3	32	models	model	NOUN
faba-265	3	33	by	by	ADP
faba-265	3	34	estimating	estimate	VERB
faba-265	3	35	the	the	DET
faba-265	3	36	values	value	NOUN
faba-265	3	37	of	of	ADP
faba-265	3	38	the	the	DET
faba-265	3	39	mean	mean	ADJ
faba-265	3	40	square	square	ADJ
faba-265	3	41	error	error	NOUN
faba-265	3	42	(	(	PUNCT
faba-265	3	43	mse	mse	NOUN
faba-265	3	44	)	)	PUNCT
faba-265	3	45	at	at	ADP
faba-265	3	46	a	a	DET
faba-265	3	47	level	level	NOUN
faba-265	3	48	of	of	ADP
faba-265	3	49	0.0218	0.0218	NUM
faba-265	3	50	%	%	NOUN
faba-265	3	51	to	to	PART
faba-265	3	52	predict	predict	VERB
faba-265	3	53	the	the	DET
faba-265	3	54	optimal	optimal	ADJ
faba-265	3	55	portfolio	portfolio	NOUN
faba-265	3	56	weights	weight	VERB
faba-265	3	57	for	for	ADP
faba-265	3	58	5	5	NUM
faba-265	3	59	days	day	NOUN
faba-265	3	60	based	base	VERB
faba-265	3	61	on	on	ADP
faba-265	3	62	training	train	VERB
faba-265	3	63	80	80	NUM
faba-265	3	64	%	%	NOUN
faba-265	3	65	and	and	CCONJ
faba-265	3	66	testing	test	VERB
faba-265	3	67	20	20	NUM
faba-265	3	68	%	%	NOUN
faba-265	3	69	of	of	ADP
faba-265	3	70	the	the	DET
faba-265	3	71	study	study	NOUN
faba-265	3	72	data	datum	NOUN
faba-265	3	73	.	.	PUNCT
faba-265	4	1	findings	finding	NOUN
faba-265	4	2	:	:	PUNCT
faba-265	4	3	the	the	DET
faba-265	4	4	second	second	ADJ
faba-265	4	5	hypothesis	hypothesis	NOUN
faba-265	4	6	of	of	ADP
faba-265	4	7	this	this	DET
faba-265	4	8	study	study	NOUN
faba-265	4	9	was	be	AUX
faba-265	4	10	accepted	accept	VERB
faba-265	4	11	,	,	PUNCT
faba-265	4	12	which	which	PRON
faba-265	4	13	states	state	VERB
faba-265	4	14	the	the	DET
faba-265	4	15	effectiveness	effectiveness	NOUN
faba-265	4	16	of	of	ADP
faba-265	4	17	deep	deep	ADJ
faba-265	4	18	learning	learning	NOUN
faba-265	4	19	algorithms	algorithm	NOUN
faba-265	4	20	to	to	PART
faba-265	4	21	predict	predict	VERB
faba-265	4	22	the	the	DET
faba-265	4	23	weights	weight	NOUN
faba-265	4	24	of	of	ADP
faba-265	4	25	optimal	optimal	ADJ
faba-265	4	26	portfolios	portfolio	NOUN
faba-265	4	27	with	with	ADP
faba-265	4	28	a	a	DET
faba-265	4	29	return	return	NOUN
faba-265	4	30	estimated	estimate	VERB
faba-265	4	31	at	at	ADP
faba-265	4	32	1.7239	1.7239	NUM
faba-265	4	33	%	%	NOUN
faba-265	4	34	and	and	CCONJ
faba-265	4	35	a	a	DET
faba-265	4	36	risk	risk	NOUN
faba-265	4	37	of	of	ADP
faba-265	4	38	1.1219	1.1219	NUM
faba-265	4	39	%	%	NOUN
faba-265	4	40	and	and	CCONJ
faba-265	4	41	a	a	DET
faba-265	4	42	sharpe	sharpe	NOUN
faba-265	4	43	index	index	NOUN
faba-265	4	44	value	value	NOUN
faba-265	4	45	estimated	estimate	VERB
faba-265	4	46	at	at	ADP
faba-265	4	47	1.5365	1.5365	NUM
faba-265	4	48	%	%	NOUN
faba-265	4	49	,	,	PUNCT
faba-265	4	50	while	while	SCONJ
faba-265	4	51	the	the	DET
faba-265	4	52	markowitz	markowitz	PROPN
faba-265	4	53	return	return	VERB
faba-265	4	54	-	-	PUNCT
faba-265	4	55	risk	risk	NOUN
faba-265	4	56	model	model	NOUN
faba-265	4	57	portfolio	portfolio	NOUN
faba-265	4	58	came	come	VERB
faba-265	4	59	with	with	ADP
faba-265	4	60	a	a	DET
faba-265	4	61	return	return	NOUN
faba-265	4	62	rate	rate	NOUN
faba-265	4	63	estimated	estimate	VERB
faba-265	4	64	at	at	ADP
faba-265	4	65	31.15	31.15	NUM
faba-265	4	66	%	%	NOUN
faba-265	4	67	and	and	CCONJ
faba-265	4	68	a	a	DET
faba-265	4	69	risk	risk	NOUN
faba-265	4	70	of	of	ADP
faba-265	4	71	39.05	39.05	NUM
faba-265	4	72	%	%	NOUN
faba-265	4	73	.	.	PUNCT
faba-265	5	1	with	with	ADP
faba-265	5	2	no	no	DET
faba-265	5	3	diversification	diversification	NOUN
faba-265	5	4	of	of	ADP
faba-265	5	5	investment	investment	NOUN
faba-265	5	6	on	on	ADP
faba-265	5	7	all	all	DET
faba-265	5	8	portfolio	portfolio	NOUN
faba-265	5	9	assets	asset	NOUN
faba-265	5	10	and	and	CCONJ
faba-265	5	11	a	a	DET
faba-265	5	12	sharpe	sharpe	NOUN
faba-265	5	13	index	index	NOUN
faba-265	5	14	value	value	NOUN
faba-265	5	15	of	of	ADP
faba-265	5	16	0.7978	0.7978	NUM
faba-265	5	17	%	%	NOUN
faba-265	5	18	.	.	PUNCT
faba-265	6	1	practical	practical	ADJ
faba-265	6	2	implications	implication	NOUN
faba-265	6	3	:	:	PUNCT
faba-265	6	4	this	this	DET
faba-265	6	5	study	study	NOUN
faba-265	6	6	provides	provide	VERB
faba-265	6	7	important	important	ADJ
faba-265	6	8	insights	insight	NOUN
faba-265	6	9	that	that	PRON
faba-265	6	10	machine	machine	NOUN
faba-265	6	11	learning	learning	NOUN
faba-265	6	12	offers	offer	VERB
faba-265	6	13	significant	significant	ADJ
faba-265	6	14	advantages	advantage	NOUN
faba-265	6	15	in	in	ADP
faba-265	6	16	portfolio	portfolio	NOUN
faba-265	6	17	optimization	optimization	NOUN
faba-265	6	18	,	,	PUNCT
faba-265	6	19	from	from	ADP
faba-265	6	20	improved	improved	ADJ
faba-265	6	21	forecasting	forecasting	NOUN
faba-265	6	22	of	of	ADP
faba-265	6	23	asset	asset	NOUN
faba-265	6	24	returns	return	NOUN
faba-265	6	25	to	to	ADP
faba-265	6	26	dynamic	dynamic	ADJ
faba-265	6	27	rebalancing	rebalancing	NOUN
faba-265	6	28	,	,	PUNCT
faba-265	6	29	better	well	ADJ
faba-265	6	30	risk	risk	NOUN
faba-265	6	31	management	management	NOUN
faba-265	6	32	,	,	PUNCT
faba-265	6	33	and	and	CCONJ
faba-265	6	34	automation	automation	NOUN
faba-265	6	35	.	.	PUNCT
faba-265	7	1	the	the	DET
faba-265	7	2	ability	ability	NOUN
faba-265	7	3	to	to	PART
faba-265	7	4	handle	handle	VERB
faba-265	7	5	high	high	ADV
faba-265	7	6	-	-	PUNCT
faba-265	7	7	dimensional	dimensional	ADJ
faba-265	7	8	,	,	PUNCT
faba-265	7	9	non	non	ADJ
faba-265	7	10	-	-	ADJ
faba-265	7	11	linear	linear	ADJ
faba-265	7	12	,	,	PUNCT
faba-265	7	13	and	and	CCONJ
faba-265	7	14	nonstationary	nonstationary	ADJ
faba-265	7	15	data	datum	NOUN
faba-265	7	16	makes	make	VERB
faba-265	7	17	ml	ml	ADP
faba-265	7	18	an	an	DET
faba-265	7	19	ideal	ideal	ADJ
faba-265	7	20	tool	tool	NOUN
faba-265	7	21	for	for	ADP
faba-265	7	22	optimizing	optimize	VERB
faba-265	7	23	portfolios	portfolio	NOUN
faba-265	7	24	in	in	ADP
faba-265	7	25	complex	complex	ADJ
faba-265	7	26	and	and	CCONJ
faba-265	7	27	fast	fast	ADV
faba-265	7	28	-	-	PUNCT
faba-265	7	29	moving	move	VERB
faba-265	7	30	markets	market	NOUN
faba-265	7	31	;	;	PUNCT
faba-265	7	32	especially	especially	ADV
faba-265	7	33	in	in	ADP
faba-265	7	34	cryptocurrency	cryptocurrency	NOUN
faba-265	7	35	markets	market	NOUN
faba-265	7	36	.	.	PUNCT
faba-265	8	1	however	however	ADV
faba-265	8	2	,	,	PUNCT
faba-265	8	3	challenges	challenge	NOUN
faba-265	8	4	like	like	ADP
faba-265	8	5	data	datum	NOUN
faba-265	8	6	quality	quality	NOUN
faba-265	8	7	,	,	PUNCT
faba-265	8	8	overfitting	overfitting	NOUN
faba-265	8	9	,	,	PUNCT
faba-265	8	10	and	and	CCONJ
faba-265	8	11	interpretability	interpretability	NOUN
faba-265	8	12	must	must	AUX
faba-265	8	13	be	be	AUX
faba-265	8	14	addressed	address	VERB
faba-265	8	15	to	to	PART
faba-265	8	16	ensure	ensure	VERB
faba-265	8	17	effective	effective	ADJ
faba-265	8	18	deployment	deployment	NOUN
faba-265	8	19	of	of	ADP
faba-265	8	20	ml	ml	NOUN
faba-265	8	21	in	in	ADP
faba-265	8	22	real	real	ADJ
faba-265	8	23	-	-	PUNCT
faba-265	8	24	world	world	NOUN
faba-265	8	25	portfolio	portfolio	NOUN
faba-265	8	26	.	.	PUNCT
faba-265	9	1	originality	originality	NOUN
faba-265	9	2	/	/	SYM
faba-265	9	3	value	value	NOUN
faba-265	9	4	:	:	PUNCT
faba-265	9	5	this	this	DET
faba-265	9	6	study	study	NOUN
faba-265	9	7	provides	provide	VERB
faba-265	9	8	an	an	DET
faba-265	9	9	original	original	ADJ
faba-265	9	10	and	and	CCONJ
faba-265	9	11	timely	timely	ADJ
faba-265	9	12	contribution	contribution	NOUN
faba-265	9	13	to	to	ADP
faba-265	9	14	understanding	understand	VERB
faba-265	9	15	the	the	DET
faba-265	9	16	use	use	NOUN
faba-265	9	17	of	of	ADP
faba-265	9	18	deep	deep	ADJ
faba-265	9	19	learning	learning	NOUN
faba-265	9	20	for	for	ADP
faba-265	9	21	portfolio	portfolio	NOUN
faba-265	9	22	optimization	optimization	NOUN
faba-265	9	23	represents	represent	VERB
faba-265	9	24	a	a	DET
faba-265	9	25	significant	significant	ADJ
faba-265	9	26	advancement	advancement	NOUN
faba-265	9	27	over	over	ADP
faba-265	9	28	traditional	traditional	ADJ
faba-265	9	29	financial	financial	ADJ
faba-265	9	30	models	model	NOUN
faba-265	9	31	by	by	ADP
faba-265	9	32	offering	offer	VERB
faba-265	9	33	several	several	ADJ
faba-265	9	34	original	original	ADJ
faba-265	9	35	and	and	CCONJ
faba-265	9	36	valuable	valuable	ADJ
faba-265	9	37	benefits	benefit	NOUN
faba-265	9	38	.	.	PUNCT
faba-265	10	1	these	these	PRON
faba-265	10	2	include	include	VERB
faba-265	10	3	the	the	DET
faba-265	10	4	ability	ability	NOUN
faba-265	10	5	to	to	PART
faba-265	10	6	capture	capture	VERB
faba-265	10	7	complex	complex	ADJ
faba-265	10	8	nonlinear	nonlinear	ADJ
faba-265	10	9	relationships	relationship	NOUN
faba-265	10	10	,	,	PUNCT
faba-265	10	11	dynamic	dynamic	ADJ
faba-265	10	12	rebalancing	rebalancing	NOUN
faba-265	10	13	in	in	ADP
faba-265	10	14	response	response	NOUN
faba-265	10	15	to	to	ADP
faba-265	10	16	real	real	ADJ
faba-265	10	17	-	-	PUNCT
faba-265	10	18	time	time	NOUN
faba-265	10	19	data	datum	NOUN
faba-265	10	20	,	,	PUNCT
faba-265	10	21	processing	processing	NOUN
faba-265	10	22	of	of	ADP
faba-265	10	23	unstructured	unstructured	ADJ
faba-265	10	24	data	datum	NOUN
faba-265	10	25	(	(	PUNCT
faba-265	10	26	like	like	ADP
faba-265	10	27	sentiment	sentiment	NOUN
faba-265	10	28	analysis	analysis	NOUN
faba-265	10	29	)	)	PUNCT
faba-265	10	30	,	,	PUNCT
faba-265	10	31	advanced	advanced	ADJ
faba-265	10	32	risk	risk	NOUN
faba-265	10	33	management	management	NOUN
faba-265	10	34	,	,	PUNCT
faba-265	10	35	and	and	CCONJ
faba-265	10	36	the	the	DET
faba-265	10	37	integration	integration	NOUN
faba-265	10	38	of	of	ADP
faba-265	10	39	high	high	ADJ
faba-265	10	40	-	-	PUNCT
faba-265	10	41	dimensional	dimensional	ADJ
faba-265	10	42	data	datum	NOUN
faba-265	10	43	.	.	PUNCT
faba-265	11	1	the	the	DET
faba-265	11	2	combination	combination	NOUN
faba-265	11	3	of	of	ADP
faba-265	11	4	these	these	DET
faba-265	11	5	capabilities	capability	NOUN
faba-265	11	6	enables	enable	VERB
faba-265	11	7	more	more	ADV
faba-265	11	8	accurate	accurate	ADJ
faba-265	11	9	,	,	PUNCT
faba-265	11	10	adaptive	adaptive	ADJ
faba-265	11	11	,	,	PUNCT
faba-265	11	12	and	and	CCONJ
faba-265	11	13	robust	robust	ADJ
faba-265	11	14	portfolio	portfolio	NOUN
faba-265	11	15	optimization	optimization	NOUN
faba-265	11	16	,	,	PUNCT
faba-265	11	17	ultimately	ultimately	ADV
faba-265	11	18	enhancing	enhance	VERB
faba-265	11	19	portfolio	portfolio	NOUN
faba-265	11	20	performance	performance	NOUN
faba-265	11	21	and	and	CCONJ
faba-265	11	22	reducing	reduce	VERB
faba-265	11	23	risk	risk	NOUN
faba-265	11	24	.	.	PUNCT
faba-265	12	1	paper	paper	NOUN
faba-265	12	2	type	type	NOUN
faba-265	12	3	:	:	PUNCT
faba-265	12	4	research	research	NOUN
faba-265	12	5	paper	paper	NOUN
faba-265	12	6	keywords	keyword	NOUN
faba-265	12	7	:	:	PUNCT
faba-265	12	8	markowitz	markowitz	PROPN
faba-265	12	9	model	model	PROPN
faba-265	12	10	,	,	PUNCT
faba-265	12	11	deep	deep	ADJ
faba-265	12	12	learning	learning	NOUN
faba-265	12	13	,	,	PUNCT
faba-265	12	14	portfolio	portfolio	NOUN
faba-265	12	15	optimization	optimization	NOUN
faba-265	12	16	,	,	PUNCT
faba-265	12	17	cryptocurrencies	cryptocurrencie	NOUN
faba-265	12	18	,	,	PUNCT
faba-265	12	19	lstm	lstm	PROPN
faba-265	12	20	neural	neural	PROPN
faba-265	12	21	networks	network	NOUN
faba-265	12	22	jel	jel	PROPN
faba-265	12	23	:	:	PUNCT
faba-265	12	24	c38	c38	NOUN
faba-265	12	25	,	,	PUNCT
faba-265	12	26	c4	c4	NOUN
faba-265	12	27	,	,	PUNCT
faba-265	12	28	c45	c45	PROPN
faba-265	12	29	,	,	PUNCT
faba-265	12	30	c5	c5	PROPN
faba-265	12	31	,	,	PUNCT
faba-265	12	32	c58	c58	PROPN
faba-265	12	33	,	,	PUNCT
faba-265	12	34	g1	g1	NOUN
faba-265	12	35	,	,	PUNCT
faba-265	12	36	g11	g11	X
faba-265	12	37	.	.	PUNCT
faba-265	12	38	*	*	PUNCT
faba-265	13	1	address	address	NOUN
faba-265	13	2	correspondence	correspondence	NOUN
faba-265	13	3	:	:	PUNCT
faba-265	13	4	e	e	X
faba-265	13	5	-	-	NOUN
faba-265	13	6	mail	mail	NOUN
faba-265	13	7	:	:	PUNCT
faba-265	13	8	habib.zouaoui@univ	habib.zouaoui@univ	NUM
faba-265	13	9	-	-	PUNCT
faba-265	13	10	relizane.dz1	relizane.dz1	PROPN
faba-265	13	11	meryemnadjat.naas@univ	meryemnadjat.naas@univ	NUM
faba-265	13	12	-	-	PUNCT
faba-265	13	13	relizane.dz2	relizane.dz2	ADJ
faba-265	13	14	http://faba.bg/	http://faba.bg/	NOUN
faba-265	13	15	https://doi.org/10.37075/faba.2025.1.07	https://doi.org/10.37075/faba.2025.1.07	ADP
faba-265	13	16	mailto:meryemnadjat.naas@univ-relizane.dz	mailto:meryemnadjat.naas@univ-relizane.dz	PROPN
faba-265	13	17	https://orcid.org/0000-0001-7694-2473	https://orcid.org/0000-0001-7694-2473	NOUN
faba-265	13	18	https://orcid.org/0009-0004-4018-1261	https://orcid.org/0009-0004-4018-1261	NOUN
faba-265	13	19	habib	habib	PROPN
faba-265	13	20	zouaoui	zouaoui	PROPN
faba-265	13	21	,	,	PUNCT
faba-265	13	22	meryem	meryem	NOUN
faba-265	13	23	-	-	PUNCT
faba-265	13	24	nadjat	nadjat	NOUN
faba-265	13	25	naas	naas	PROPN
faba-265	13	26	/	/	SYM
faba-265	13	27	finance	finance	NOUN
faba-265	13	28	,	,	PUNCT
faba-265	13	29	accounting	accounting	NOUN
faba-265	13	30	and	and	CCONJ
faba-265	13	31	business	business	NOUN
faba-265	13	32	analysis	analysis	NOUN
faba-265	13	33	,	,	PUNCT
faba-265	13	34	volume	volume	NOUN
faba-265	13	35	7	7	NUM
faba-265	13	36	,	,	PUNCT
faba-265	13	37	issue	issue	NOUN
faba-265	13	38	1	1	NUM
faba-265	13	39	,	,	PUNCT
faba-265	13	40	2025	2025	NUM
faba-265	13	41	83	83	NUM
faba-265	13	42	introduction	introduction	NOUN
faba-265	13	43	portfolio	portfolio	NOUN
faba-265	13	44	optimization	optimization	NOUN
faba-265	13	45	is	be	AUX
faba-265	13	46	a	a	DET
faba-265	13	47	cornerstone	cornerstone	NOUN
faba-265	13	48	of	of	ADP
faba-265	13	49	modern	modern	ADJ
faba-265	13	50	finance	finance	NOUN
faba-265	13	51	,	,	PUNCT
faba-265	13	52	focusing	focus	VERB
faba-265	13	53	on	on	ADP
faba-265	13	54	the	the	DET
faba-265	13	55	strategic	strategic	ADJ
faba-265	13	56	allocation	allocation	NOUN
faba-265	13	57	of	of	ADP
faba-265	13	58	capital	capital	NOUN
faba-265	13	59	across	across	ADP
faba-265	13	60	various	various	ADJ
faba-265	13	61	assets	asset	NOUN
faba-265	13	62	to	to	PART
faba-265	13	63	achieve	achieve	VERB
faba-265	13	64	specific	specific	ADJ
faba-265	13	65	investment	investment	NOUN
faba-265	13	66	objectives	objective	NOUN
faba-265	13	67	,	,	PUNCT
faba-265	13	68	such	such	ADJ
faba-265	13	69	as	as	ADP
faba-265	13	70	maximizing	maximize	VERB
faba-265	13	71	returns	return	NOUN
faba-265	13	72	or	or	CCONJ
faba-265	13	73	minimizing	minimize	VERB
faba-265	13	74	risk	risk	NOUN
faba-265	13	75	.	.	PUNCT
faba-265	14	1	traditional	traditional	ADJ
faba-265	14	2	methods	method	NOUN
faba-265	14	3	,	,	PUNCT
faba-265	14	4	such	such	ADJ
faba-265	14	5	as	as	ADP
faba-265	14	6	the	the	DET
faba-265	14	7	markowitz	markowitz	PROPN
faba-265	14	8	mean	mean	ADJ
faba-265	14	9	-	-	PUNCT
faba-265	14	10	variance	variance	NOUN
faba-265	14	11	model	model	NOUN
faba-265	14	12	,	,	PUNCT
faba-265	14	13	rely	rely	VERB
faba-265	14	14	on	on	ADP
faba-265	14	15	statistical	statistical	ADJ
faba-265	14	16	assumptions	assumption	NOUN
faba-265	14	17	and	and	CCONJ
faba-265	14	18	linear	linear	ADJ
faba-265	14	19	relationships	relationship	NOUN
faba-265	14	20	,	,	PUNCT
faba-265	14	21	which	which	PRON
faba-265	14	22	may	may	AUX
faba-265	14	23	not	not	PART
faba-265	14	24	adequately	adequately	ADV
faba-265	14	25	capture	capture	VERB
faba-265	14	26	the	the	DET
faba-265	14	27	complexities	complexity	NOUN
faba-265	14	28	of	of	ADP
faba-265	14	29	financial	financial	ADJ
faba-265	14	30	markets	market	NOUN
faba-265	14	31	.	.	PUNCT
faba-265	15	1	given	give	VERB
faba-265	15	2	that	that	SCONJ
faba-265	15	3	these	these	DET
faba-265	15	4	markets	market	NOUN
faba-265	15	5	often	often	ADV
faba-265	15	6	exhibit	exhibit	VERB
faba-265	15	7	non	non	ADJ
faba-265	15	8	-	-	ADJ
faba-265	15	9	linear	linear	ADJ
faba-265	15	10	dynamics	dynamic	NOUN
faba-265	15	11	and	and	CCONJ
faba-265	15	12	intricate	intricate	ADJ
faba-265	15	13	interdependencies	interdependency	NOUN
faba-265	15	14	,	,	PUNCT
faba-265	15	15	deep	deep	ADJ
faba-265	15	16	learning	learning	NOUN
faba-265	15	17	(	(	PUNCT
faba-265	15	18	dl	dl	NOUN
faba-265	15	19	)	)	PUNCT
faba-265	15	20	emerges	emerge	VERB
faba-265	15	21	as	as	ADP
faba-265	15	22	a	a	DET
faba-265	15	23	compelling	compelling	ADJ
faba-265	15	24	alternative	alternative	NOUN
faba-265	15	25	for	for	ADP
faba-265	15	26	portfolio	portfolio	NOUN
faba-265	15	27	optimization	optimization	NOUN
faba-265	15	28	.	.	PUNCT
faba-265	16	1	this	this	DET
faba-265	16	2	literature	literature	NOUN
faba-265	16	3	review	review	NOUN
faba-265	16	4	explores	explore	VERB
faba-265	16	5	the	the	DET
faba-265	16	6	application	application	NOUN
faba-265	16	7	of	of	ADP
faba-265	16	8	dl	dl	PROPN
faba-265	16	9	techniques	technique	NOUN
faba-265	16	10	in	in	ADP
faba-265	16	11	optimizing	optimize	VERB
faba-265	16	12	portfolios	portfolio	NOUN
faba-265	16	13	,	,	PUNCT
faba-265	16	14	highlighting	highlight	VERB
faba-265	16	15	their	their	PRON
faba-265	16	16	capacity	capacity	NOUN
faba-265	16	17	to	to	PART
faba-265	16	18	model	model	VERB
faba-265	16	19	non	non	ADJ
faba-265	16	20	-	-	ADJ
faba-265	16	21	linear	linear	ADJ
faba-265	16	22	relationships	relationship	NOUN
faba-265	16	23	and	and	CCONJ
faba-265	16	24	enhance	enhance	VERB
faba-265	16	25	predictive	predictive	ADJ
faba-265	16	26	accuracy	accuracy	NOUN
faba-265	16	27	.	.	PUNCT
faba-265	17	1	we	we	PRON
faba-265	17	2	examine	examine	VERB
faba-265	17	3	various	various	ADJ
faba-265	17	4	dl	dl	PROPN
faba-265	17	5	architectures	architecture	NOUN
faba-265	17	6	,	,	PUNCT
faba-265	17	7	including	include	VERB
faba-265	17	8	neural	neural	ADJ
faba-265	17	9	networks	network	NOUN
faba-265	17	10	and	and	CCONJ
faba-265	17	11	reinforcement	reinforcement	NOUN
faba-265	17	12	learning	learning	NOUN
faba-265	17	13	,	,	PUNCT
faba-265	17	14	and	and	CCONJ
faba-265	17	15	their	their	PRON
faba-265	17	16	efficacy	efficacy	NOUN
faba-265	17	17	in	in	ADP
faba-265	17	18	addressing	address	VERB
faba-265	17	19	the	the	DET
faba-265	17	20	limitations	limitation	NOUN
faba-265	17	21	of	of	ADP
faba-265	17	22	traditional	traditional	ADJ
faba-265	17	23	models	model	NOUN
faba-265	17	24	.	.	PUNCT
faba-265	18	1	the	the	DET
faba-265	18	2	review	review	NOUN
faba-265	18	3	also	also	ADV
faba-265	18	4	discusses	discuss	VERB
faba-265	18	5	practical	practical	ADJ
faba-265	18	6	implications	implication	NOUN
faba-265	18	7	,	,	PUNCT
faba-265	18	8	such	such	ADJ
faba-265	18	9	as	as	ADP
faba-265	18	10	feature	feature	NOUN
faba-265	18	11	selection	selection	NOUN
faba-265	18	12	and	and	CCONJ
faba-265	18	13	data	datum	NOUN
faba-265	18	14	preprocessing	preprocessing	NOUN
faba-265	18	15	,	,	PUNCT
faba-265	18	16	and	and	CCONJ
faba-265	18	17	identifies	identify	VERB
faba-265	18	18	future	future	ADJ
faba-265	18	19	research	research	NOUN
faba-265	18	20	directions	direction	NOUN
faba-265	18	21	to	to	PART
faba-265	18	22	further	far	ADV
faba-265	18	23	integrate	integrate	VERB
faba-265	18	24	dl	dl	PROPN
faba-265	18	25	methods	method	NOUN
faba-265	18	26	into	into	ADP
faba-265	18	27	portfolio	portfolio	NOUN
faba-265	18	28	optimization	optimization	NOUN
faba-265	18	29	frameworks	framework	NOUN
faba-265	18	30	.	.	PUNCT
faba-265	19	1	ultimately	ultimately	ADV
faba-265	19	2	,	,	PUNCT
faba-265	19	3	this	this	DET
faba-265	19	4	review	review	NOUN
faba-265	19	5	underscores	underscore	VERB
faba-265	19	6	the	the	DET
faba-265	19	7	potential	potential	NOUN
faba-265	19	8	of	of	ADP
faba-265	19	9	deep	deep	ADJ
faba-265	19	10	learning	learning	NOUN
faba-265	19	11	to	to	PART
faba-265	19	12	revolutionize	revolutionize	VERB
faba-265	19	13	portfolio	portfolio	NOUN
faba-265	19	14	management	management	NOUN
faba-265	19	15	in	in	ADP
faba-265	19	16	an	an	DET
faba-265	19	17	increasingly	increasingly	ADV
faba-265	19	18	complex	complex	ADJ
faba-265	19	19	financial	financial	ADJ
faba-265	19	20	landscape	landscape	NOUN
faba-265	19	21	(	(	PUNCT
faba-265	19	22	zhang	zhang	X
faba-265	19	23	et	et	PROPN
faba-265	19	24	al	al	PROPN
faba-265	19	25	.	.	PROPN
faba-265	19	26	2025	2025	NUM
faba-265	19	27	)	)	PUNCT
faba-265	19	28	.	.	PUNCT
faba-265	20	1	however	however	ADV
faba-265	20	2	,	,	PUNCT
faba-265	20	3	artificial	artificial	ADJ
faba-265	20	4	intelligence	intelligence	NOUN
faba-265	20	5	is	be	AUX
faba-265	20	6	one	one	NUM
faba-265	20	7	of	of	ADP
faba-265	20	8	the	the	DET
faba-265	20	9	sciences	science	NOUN
faba-265	20	10	that	that	PRON
faba-265	20	11	the	the	DET
faba-265	20	12	world	world	NOUN
faba-265	20	13	has	have	AUX
faba-265	20	14	begun	begin	VERB
faba-265	20	15	to	to	PART
faba-265	20	16	rely	rely	VERB
faba-265	20	17	on	on	ADP
faba-265	20	18	in	in	ADP
faba-265	20	19	various	various	ADJ
faba-265	20	20	areas	area	NOUN
faba-265	20	21	of	of	ADP
faba-265	20	22	life	life	NOUN
faba-265	20	23	due	due	ADP
faba-265	20	24	to	to	ADP
faba-265	20	25	the	the	DET
faba-265	20	26	ability	ability	NOUN
faba-265	20	27	of	of	ADP
faba-265	20	28	this	this	DET
faba-265	20	29	science	science	NOUN
faba-265	20	30	to	to	PART
faba-265	20	31	collect	collect	VERB
faba-265	20	32	and	and	CCONJ
faba-265	20	33	analyze	analyze	VERB
faba-265	20	34	big	big	ADJ
faba-265	20	35	data	datum	NOUN
faba-265	20	36	(	(	PUNCT
faba-265	20	37	big	big	ADJ
faba-265	20	38	data	datum	NOUN
faba-265	20	39	)	)	PUNCT
faba-265	20	40	and	and	CCONJ
faba-265	20	41	make	make	VERB
faba-265	20	42	decisions	decision	NOUN
faba-265	20	43	and	and	CCONJ
faba-265	20	44	reach	reach	VERB
faba-265	20	45	accurate	accurate	ADJ
faba-265	20	46	results	result	NOUN
faba-265	20	47	that	that	PRON
faba-265	20	48	exceed	exceed	VERB
faba-265	20	49	the	the	DET
faba-265	20	50	ability	ability	NOUN
faba-265	20	51	of	of	ADP
faba-265	20	52	the	the	DET
faba-265	20	53	human	human	ADJ
faba-265	20	54	element	element	NOUN
faba-265	20	55	.	.	PUNCT
faba-265	21	1	as	as	ADP
faba-265	21	2	for	for	ADP
faba-265	21	3	the	the	DET
faba-265	21	4	field	field	NOUN
faba-265	21	5	of	of	ADP
faba-265	21	6	financial	financial	ADJ
faba-265	21	7	markets	market	NOUN
faba-265	21	8	,	,	PUNCT
faba-265	21	9	with	with	ADP
faba-265	21	10	the	the	DET
faba-265	21	11	increasing	increase	VERB
faba-265	21	12	complexities	complexity	NOUN
faba-265	21	13	of	of	ADP
faba-265	21	14	financial	financial	ADJ
faba-265	21	15	globalization	globalization	NOUN
faba-265	21	16	that	that	PRON
faba-265	21	17	have	have	AUX
faba-265	21	18	increased	increase	VERB
faba-265	21	19	the	the	DET
faba-265	21	20	conditions	condition	NOUN
faba-265	21	21	of	of	ADP
faba-265	21	22	future	future	ADJ
faba-265	21	23	uncertainty	uncertainty	NOUN
faba-265	21	24	and	and	CCONJ
faba-265	21	25	high	high	ADJ
faba-265	21	26	risks	risk	NOUN
faba-265	21	27	,	,	PUNCT
faba-265	21	28	asymmetry	asymmetry	NOUN
faba-265	21	29	of	of	ADP
faba-265	21	30	circulating	circulate	VERB
faba-265	21	31	information	information	NOUN
faba-265	21	32	and	and	CCONJ
faba-265	21	33	problems	problem	NOUN
faba-265	21	34	of	of	ADP
faba-265	21	35	fear	fear	NOUN
faba-265	21	36	and	and	CCONJ
faba-265	21	37	panic	panic	NOUN
faba-265	21	38	among	among	ADP
faba-265	21	39	investors	investor	NOUN
faba-265	21	40	,	,	PUNCT
faba-265	21	41	and	and	CCONJ
faba-265	21	42	in	in	ADP
faba-265	21	43	light	light	NOUN
faba-265	21	44	of	of	ADP
faba-265	21	45	the	the	DET
faba-265	21	46	emergence	emergence	NOUN
faba-265	21	47	of	of	ADP
faba-265	21	48	the	the	DET
faba-265	21	49	fourth	fourth	ADJ
faba-265	21	50	industrial	industrial	ADJ
faba-265	21	51	revolution	revolution	NOUN
faba-265	21	52	,	,	PUNCT
faba-265	21	53	automation	automation	NOUN
faba-265	21	54	of	of	ADP
faba-265	21	55	financial	financial	ADJ
faba-265	21	56	services	service	NOUN
faba-265	21	57	and	and	CCONJ
faba-265	21	58	high	high	ADJ
faba-265	21	59	-	-	PUNCT
faba-265	21	60	frequency	frequency	NOUN
faba-265	21	61	trading	trading	NOUN
faba-265	21	62	,	,	PUNCT
faba-265	21	63	more	more	ADJ
faba-265	21	64	than	than	ADP
faba-265	21	65	80	80	NUM
faba-265	21	66	%	%	NOUN
faba-265	21	67	of	of	ADP
faba-265	21	68	daily	daily	ADJ
faba-265	21	69	global	global	ADJ
faba-265	21	70	stock	stock	NOUN
faba-265	21	71	market	market	NOUN
faba-265	21	72	trading	trading	NOUN
faba-265	21	73	has	have	AUX
faba-265	21	74	become	become	VERB
faba-265	21	75	trading	trading	NOUN
faba-265	21	76	done	do	VERB
faba-265	21	77	through	through	ADP
faba-265	21	78	artificial	artificial	ADJ
faba-265	21	79	intelligence	intelligence	NOUN
faba-265	21	80	(	(	PUNCT
faba-265	21	81	ai	ai	NOUN
faba-265	21	82	)	)	PUNCT
faba-265	21	83	and	and	CCONJ
faba-265	21	84	algorithmic	algorithmic	ADJ
faba-265	21	85	trading	trading	NOUN
faba-265	21	86	,	,	PUNCT
faba-265	21	87	as	as	SCONJ
faba-265	21	88	they	they	PRON
faba-265	21	89	are	be	AUX
faba-265	21	90	trading	trade	VERB
faba-265	21	91	done	do	VERB
faba-265	21	92	without	without	ADP
faba-265	21	93	any	any	DET
faba-265	21	94	human	human	ADJ
faba-265	21	95	intervention	intervention	NOUN
faba-265	21	96	.	.	PUNCT
faba-265	22	1	artificial	artificial	ADJ
faba-265	22	2	intelligence	intelligence	NOUN
faba-265	22	3	enables	enable	VERB
faba-265	22	4	investors	investor	NOUN
faba-265	22	5	to	to	PART
faba-265	22	6	trade	trade	VERB
faba-265	22	7	by	by	ADP
faba-265	22	8	creating	create	VERB
faba-265	22	9	,	,	PUNCT
faba-265	22	10	examining	examine	VERB
faba-265	22	11	and	and	CCONJ
faba-265	22	12	testing	test	VERB
faba-265	22	13	data	datum	NOUN
faba-265	22	14	and	and	CCONJ
faba-265	22	15	making	make	VERB
faba-265	22	16	investment	investment	NOUN
faba-265	22	17	decisions	decision	NOUN
faba-265	22	18	automatically	automatically	ADV
faba-265	22	19	through	through	ADP
faba-265	22	20	machine	machine	NOUN
faba-265	22	21	learning	learning	NOUN
faba-265	22	22	.	.	PUNCT
faba-265	23	1	machine	machine	NOUN
faba-265	23	2	learning	learning	NOUN
faba-265	23	3	is	be	AUX
faba-265	23	4	programmed	program	VERB
faba-265	23	5	through	through	ADP
faba-265	23	6	algorithms	algorithms	NOUN
faba-265	23	7	and	and	CCONJ
faba-265	23	8	placing	place	VERB
faba-265	23	9	orders	order	NOUN
faba-265	23	10	according	accord	VERB
faba-265	23	11	to	to	ADP
faba-265	23	12	specific	specific	ADJ
faba-265	23	13	criteria	criterion	NOUN
faba-265	23	14	such	such	ADJ
faba-265	23	15	as	as	ADP
faba-265	23	16	average	average	ADJ
faba-265	23	17	daily	daily	ADJ
faba-265	23	18	trading	trading	NOUN
faba-265	23	19	and	and	CCONJ
faba-265	23	20	comparing	compare	VERB
faba-265	23	21	them	they	PRON
faba-265	23	22	with	with	ADP
faba-265	23	23	trading	trading	NOUN
faba-265	23	24	averages	average	NOUN
faba-265	23	25	in	in	ADP
faba-265	23	26	past	past	ADJ
faba-265	23	27	periods	period	NOUN
faba-265	23	28	,	,	PUNCT
faba-265	23	29	price	price	NOUN
faba-265	23	30	changes	change	NOUN
faba-265	23	31	,	,	PUNCT
faba-265	23	32	offered	offer	VERB
faba-265	23	33	quantities	quantity	NOUN
faba-265	23	34	,	,	PUNCT
faba-265	23	35	market	market	NOUN
faba-265	23	36	fluctuations	fluctuation	NOUN
faba-265	23	37	as	as	ADP
faba-265	23	38	a	a	DET
faba-265	23	39	whole	whole	NOUN
faba-265	23	40	,	,	PUNCT
faba-265	23	41	price	price	NOUN
faba-265	23	42	changes	change	NOUN
faba-265	23	43	in	in	ADP
faba-265	23	44	the	the	DET
faba-265	23	45	derivatives	derivative	NOUN
faba-265	23	46	market	market	NOUN
faba-265	23	47	and	and	CCONJ
faba-265	23	48	the	the	DET
faba-265	23	49	future	future	ADJ
faba-265	23	50	outlook	outlook	NOUN
faba-265	23	51	of	of	ADP
faba-265	23	52	the	the	DET
faba-265	23	53	economy	economy	NOUN
faba-265	23	54	,	,	PUNCT
faba-265	23	55	taking	take	VERB
faba-265	23	56	into	into	ADP
faba-265	23	57	account	account	NOUN
faba-265	23	58	,	,	PUNCT
faba-265	23	59	for	for	ADP
faba-265	23	60	example	example	NOUN
faba-265	23	61	,	,	PUNCT
faba-265	23	62	news	news	NOUN
faba-265	23	63	related	relate	VERB
faba-265	23	64	to	to	ADP
faba-265	23	65	stimulus	stimulus	ADJ
faba-265	23	66	packages	package	NOUN
faba-265	23	67	or	or	CCONJ
faba-265	23	68	any	any	DET
faba-265	23	69	news	news	NOUN
faba-265	23	70	affecting	affect	VERB
faba-265	23	71	the	the	DET
faba-265	23	72	market	market	NOUN
faba-265	23	73	by	by	ADP
faba-265	23	74	decision	decision	NOUN
faba-265	23	75	makers	maker	NOUN
faba-265	23	76	,	,	PUNCT
faba-265	23	77	in	in	ADP
faba-265	23	78	order	order	NOUN
faba-265	23	79	to	to	PART
faba-265	23	80	study	study	VERB
faba-265	23	81	and	and	CCONJ
faba-265	23	82	analyze	analyze	VERB
faba-265	23	83	them	they	PRON
faba-265	23	84	and	and	CCONJ
faba-265	23	85	reach	reach	VERB
faba-265	23	86	a	a	DET
faba-265	23	87	final	final	ADJ
faba-265	23	88	result	result	NOUN
faba-265	23	89	by	by	ADP
faba-265	23	90	machine	machine	NOUN
faba-265	23	91	learning	learning	NOUN
faba-265	23	92	,	,	PUNCT
faba-265	23	93	which	which	PRON
faba-265	23	94	leads	lead	VERB
faba-265	23	95	to	to	ADP
faba-265	23	96	the	the	DET
faba-265	23	97	implementation	implementation	NOUN
faba-265	23	98	of	of	ADP
faba-265	23	99	a	a	DET
faba-265	23	100	specific	specific	ADJ
faba-265	23	101	investment	investment	NOUN
faba-265	23	102	order	order	NOUN
faba-265	23	103	.	.	PUNCT
faba-265	24	1	trading	trading	NOUN
faba-265	24	2	in	in	ADP
faba-265	24	3	this	this	DET
faba-265	24	4	innovative	innovative	ADJ
faba-265	24	5	method	method	NOUN
faba-265	24	6	results	result	NOUN
faba-265	24	7	in	in	ADP
faba-265	24	8	objectivity	objectivity	NOUN
faba-265	24	9	in	in	ADP
faba-265	24	10	the	the	DET
faba-265	24	11	investment	investment	NOUN
faba-265	24	12	decision	decision	NOUN
faba-265	24	13	.	.	PUNCT
faba-265	25	1	behavioral	behavioral	ADJ
faba-265	25	2	finance	finance	NOUN
faba-265	25	3	is	be	AUX
faba-265	25	4	predominant	predominant	ADJ
faba-265	25	5	in	in	ADP
faba-265	25	6	humans	human	NOUN
faba-265	25	7	during	during	ADP
faba-265	25	8	trading	trading	NOUN
faba-265	25	9	,	,	PUNCT
faba-265	25	10	meaning	mean	VERB
faba-265	25	11	that	that	SCONJ
faba-265	25	12	they	they	PRON
faba-265	25	13	are	be	AUX
faba-265	25	14	more	more	ADV
faba-265	25	15	likely	likely	ADJ
faba-265	25	16	to	to	PART
faba-265	25	17	be	be	AUX
faba-265	25	18	affected	affect	VERB
faba-265	25	19	behaviorally	behaviorally	ADV
faba-265	25	20	by	by	ADP
faba-265	25	21	the	the	DET
faba-265	25	22	environment	environment	NOUN
faba-265	25	23	and	and	CCONJ
faba-265	25	24	economic	economic	ADJ
faba-265	25	25	changes	change	NOUN
faba-265	25	26	,	,	PUNCT
faba-265	25	27	which	which	PRON
faba-265	25	28	leads	lead	VERB
faba-265	25	29	to	to	ADP
faba-265	25	30	a	a	DET
faba-265	25	31	change	change	NOUN
faba-265	25	32	in	in	ADP
faba-265	25	33	the	the	DET
faba-265	25	34	investment	investment	NOUN
faba-265	25	35	decision	decision	NOUN
faba-265	25	36	that	that	PRON
faba-265	25	37	was	be	AUX
faba-265	25	38	previously	previously	ADV
faba-265	25	39	taken	take	VERB
faba-265	25	40	,	,	PUNCT
faba-265	25	41	and	and	CCONJ
faba-265	25	42	this	this	DET
faba-265	25	43	change	change	NOUN
faba-265	25	44	in	in	ADP
faba-265	25	45	behavior	behavior	NOUN
faba-265	25	46	and	and	CCONJ
faba-265	25	47	investment	investment	NOUN
faba-265	25	48	decision	decision	NOUN
faba-265	25	49	may	may	AUX
faba-265	25	50	result	result	VERB
faba-265	25	51	in	in	ADP
faba-265	25	52	unexpected	unexpected	ADJ
faba-265	25	53	losses	loss	NOUN
faba-265	25	54	.	.	PUNCT
faba-265	26	1	one	one	NUM
faba-265	26	2	of	of	ADP
faba-265	26	3	the	the	DET
faba-265	26	4	benefits	benefit	NOUN
faba-265	26	5	of	of	ADP
faba-265	26	6	this	this	DET
faba-265	26	7	innovative	innovative	ADJ
faba-265	26	8	trading	trading	NOUN
faba-265	26	9	method	method	NOUN
faba-265	26	10	is	be	AUX
faba-265	26	11	the	the	DET
faba-265	26	12	speed	speed	NOUN
faba-265	26	13	of	of	ADP
faba-265	26	14	executing	execute	VERB
faba-265	26	15	trading	trading	NOUN
faba-265	26	16	orders	order	NOUN
faba-265	26	17	,	,	PUNCT
faba-265	26	18	as	as	SCONJ
faba-265	26	19	an	an	DET
faba-265	26	20	investment	investment	NOUN
faba-265	26	21	opportunity	opportunity	NOUN
faba-265	26	22	is	be	AUX
faba-265	26	23	searched	search	VERB
faba-265	26	24	for	for	ADP
faba-265	26	25	,	,	PUNCT
faba-265	26	26	information	information	NOUN
faba-265	26	27	about	about	ADP
faba-265	26	28	it	it	PRON
faba-265	26	29	is	be	AUX
faba-265	26	30	collected	collect	VERB
faba-265	26	31	,	,	PUNCT
faba-265	26	32	and	and	CCONJ
faba-265	26	33	a	a	DET
faba-265	26	34	huge	huge	ADJ
faba-265	26	35	amount	amount	NOUN
faba-265	26	36	of	of	ADP
faba-265	26	37	data	datum	NOUN
faba-265	26	38	is	be	AUX
faba-265	26	39	analyzed	analyze	VERB
faba-265	26	40	accurately	accurately	ADV
faba-265	26	41	,	,	PUNCT
faba-265	26	42	and	and	CCONJ
faba-265	26	43	the	the	DET
faba-265	26	44	appropriate	appropriate	ADJ
faba-265	26	45	investment	investment	NOUN
faba-265	26	46	decision	decision	NOUN
faba-265	26	47	is	be	AUX
faba-265	26	48	made	make	VERB
faba-265	26	49	through	through	ADP
faba-265	26	50	machine	machine	NOUN
faba-265	26	51	learning	learning	NOUN
faba-265	26	52	.	.	PUNCT
faba-265	27	1	this	this	DET
faba-265	27	2	entire	entire	ADJ
faba-265	27	3	process	process	NOUN
faba-265	27	4	is	be	AUX
faba-265	27	5	completed	complete	VERB
faba-265	27	6	in	in	ADP
faba-265	27	7	a	a	DET
faba-265	27	8	matter	matter	NOUN
faba-265	27	9	of	of	ADP
faba-265	27	10	seconds	second	NOUN
faba-265	27	11	.	.	PUNCT
faba-265	28	1	as	as	SCONJ
faba-265	28	2	the	the	DET
faba-265	28	3	human	human	ADJ
faba-265	28	4	being	being	NOUN
faba-265	28	5	’s	’s	PART
faba-265	28	6	ability	ability	NOUN
faba-265	28	7	to	to	PART
faba-265	28	8	search	search	VERB
faba-265	28	9	for	for	ADP
faba-265	28	10	a	a	DET
faba-265	28	11	similar	similar	ADJ
faba-265	28	12	opportunity	opportunity	NOUN
faba-265	28	13	and	and	CCONJ
faba-265	28	14	implement	implement	VERB
faba-265	28	15	the	the	DET
faba-265	28	16	appropriate	appropriate	ADJ
faba-265	28	17	investment	investment	NOUN
faba-265	28	18	decision	decision	NOUN
faba-265	28	19	regarding	regard	VERB
faba-265	28	20	it	it	PRON
faba-265	28	21	takes	take	VERB
faba-265	28	22	longer	long	ADV
faba-265	28	23	,	,	PUNCT
faba-265	28	24	which	which	PRON
faba-265	28	25	may	may	AUX
faba-265	28	26	lead	lead	VERB
faba-265	28	27	to	to	ADP
faba-265	28	28	wasting	waste	VERB
faba-265	28	29	the	the	DET
faba-265	28	30	investment	investment	NOUN
faba-265	28	31	opportunity	opportunity	NOUN
faba-265	28	32	.	.	PUNCT
faba-265	29	1	generally	generally	ADV
faba-265	29	2	,	,	PUNCT
faba-265	29	3	our	our	PRON
faba-265	29	4	study	study	NOUN
faba-265	29	5	will	will	AUX
faba-265	29	6	try	try	VERB
faba-265	29	7	to	to	PART
faba-265	29	8	test	test	VERB
faba-265	29	9	the	the	DET
faba-265	29	10	following	follow	VERB
faba-265	29	11	hypotheses	hypothesis	NOUN
faba-265	29	12	:	:	PUNCT
faba-265	29	13	h1	h1	NOUN
faba-265	29	14	:	:	PUNCT
faba-265	29	15	the	the	DET
faba-265	29	16	dl	dl	PROPN
faba-265	29	17	models	model	NOUN
faba-265	29	18	provides	provide	VERB
faba-265	29	19	the	the	DET
faba-265	29	20	forecasting	forecasting	NOUN
faba-265	29	21	of	of	ADP
faba-265	29	22	cryptocurrencies	cryptocurrencie	NOUN
faba-265	29	23	portfolio	portfolio	NOUN
faba-265	29	24	optimization	optimization	NOUN
faba-265	29	25	with	with	ADP
faba-265	29	26	higher	high	ADJ
faba-265	29	27	accuracy	accuracy	NOUN
faba-265	29	28	than	than	ADP
faba-265	29	29	mpt	mpt	PROPN
faba-265	29	30	model	model	NOUN
faba-265	29	31	.	.	PUNCT
faba-265	30	1	h2	h2	PROPN
faba-265	30	2	:	:	PUNCT
faba-265	30	3	the	the	DET
faba-265	30	4	mpt	mpt	NOUN
faba-265	30	5	model	model	NOUN
faba-265	30	6	provides	provide	VERB
faba-265	30	7	the	the	DET
faba-265	30	8	forecasting	forecasting	NOUN
faba-265	30	9	of	of	ADP
faba-265	30	10	cryptocurrencies	cryptocurrencie	NOUN
faba-265	30	11	portfolio	portfolio	NOUN
faba-265	30	12	optimization	optimization	NOUN
faba-265	30	13	with	with	ADP
faba-265	30	14	higher	high	ADJ
faba-265	30	15	accuracy	accuracy	NOUN
faba-265	30	16	than	than	ADP
faba-265	30	17	dl	dl	PROPN
faba-265	30	18	models	model	NOUN
faba-265	30	19	.	.	PUNCT
faba-265	31	1	literature	literature	NOUN
faba-265	31	2	review	review	NOUN
faba-265	31	3	table	table	NOUN
faba-265	31	4	below	below	ADV
faba-265	31	5	is	be	AUX
faba-265	31	6	a	a	DET
faba-265	31	7	summarized	summarize	VERB
faba-265	31	8	comparison	comparison	NOUN
faba-265	31	9	of	of	ADP
faba-265	31	10	results	result	NOUN
faba-265	31	11	from	from	ADP
faba-265	31	12	recent	recent	ADJ
faba-265	31	13	studies	study	NOUN
faba-265	31	14	(	(	PUNCT
faba-265	31	15	2020–2025	2020–2025	NUM
faba-265	31	16	)	)	PUNCT
faba-265	31	17	on	on	ADP
faba-265	31	18	portfolio	portfolio	NOUN
faba-265	31	19	optimization	optimization	NOUN
faba-265	31	20	using	use	VERB
faba-265	31	21	deep	deep	ADJ
faba-265	31	22	learning	learning	NOUN
faba-265	31	23	models	model	NOUN
faba-265	31	24	versus	versus	ADP
faba-265	31	25	harry	harry	PROPN
faba-265	31	26	markowitz	markowitz	PROPN
faba-265	31	27	's	's	PART
faba-265	31	28	modern	modern	ADJ
faba-265	31	29	portfolio	portfolio	NOUN
faba-265	31	30	theory	theory	NOUN
faba-265	31	31	(	(	PUNCT
faba-265	31	32	mpt	mpt	PROPN
faba-265	31	33	)	)	PUNCT
faba-265	31	34	model	model	NOUN
faba-265	31	35	.	.	PUNCT
faba-265	32	1	these	these	DET
faba-265	32	2	results	result	NOUN
faba-265	32	3	highlight	highlight	VERB
faba-265	32	4	the	the	DET
faba-265	32	5	key	key	ADJ
faba-265	32	6	findings	finding	NOUN
faba-265	32	7	and	and	CCONJ
faba-265	32	8	performance	performance	NOUN
faba-265	32	9	metrics	metric	NOUN
faba-265	32	10	from	from	ADP
faba-265	32	11	the	the	DET
faba-265	32	12	studies	study	NOUN
faba-265	32	13	.	.	PUNCT
faba-265	33	1	however	however	ADV
faba-265	33	2	,	,	PUNCT
faba-265	33	3	mpt	mpt	PROPN
faba-265	33	4	remains	remain	VERB
faba-265	33	5	a	a	DET
faba-265	33	6	cornerstone	cornerstone	NOUN
faba-265	33	7	of	of	ADP
faba-265	33	8	portfolio	portfolio	NOUN
faba-265	33	9	optimization	optimization	NOUN
faba-265	33	10	due	due	ADP
faba-265	33	11	to	to	ADP
faba-265	33	12	its	its	PRON
faba-265	33	13	simplicity	simplicity	NOUN
faba-265	33	14	and	and	CCONJ
faba-265	33	15	effectiveness	effectiveness	NOUN
faba-265	33	16	in	in	ADP
faba-265	33	17	diversification	diversification	NOUN
faba-265	33	18	.	.	PUNCT
faba-265	34	1	however	however	ADV
faba-265	34	2	,	,	PUNCT
faba-265	34	3	its	its	PRON
faba-265	34	4	limitations	limitation	NOUN
faba-265	34	5	in	in	ADP
faba-265	34	6	handling	handle	VERB
faba-265	34	7	dynamic	dynamic	ADJ
faba-265	34	8	and	and	CCONJ
faba-265	34	9	complex	complex	ADJ
faba-265	34	10	markets	market	NOUN
faba-265	34	11	have	have	AUX
faba-265	34	12	led	lead	VERB
faba-265	34	13	to	to	ADP
faba-265	34	14	the	the	DET
faba-265	34	15	rise	rise	NOUN
faba-265	34	16	of	of	ADP
faba-265	34	17	alternative	alternative	ADJ
faba-265	34	18	approaches	approach	NOUN
faba-265	34	19	like	like	ADP
faba-265	34	20	deep	deep	ADJ
faba-265	34	21	learning	learning	NOUN
faba-265	34	22	(	(	PUNCT
faba-265	34	23	dl	dl	NOUN
faba-265	34	24	)	)	PUNCT
faba-265	34	25	models	model	NOUN
faba-265	34	26	(	(	PUNCT
faba-265	34	27	e.g.	e.g.	ADV
faba-265	34	28	,	,	PUNCT
faba-265	34	29	lstm	lstm	PROPN
faba-265	34	30	,	,	PUNCT
faba-265	34	31	gru	gru	PROPN
faba-265	34	32	)	)	PUNCT
faba-265	34	33	,	,	PUNCT
faba-265	34	34	which	which	PRON
faba-265	34	35	offer	offer	VERB
faba-265	34	36	superior	superior	ADJ
faba-265	34	37	adaptability	adaptability	NOUN
faba-265	34	38	and	and	CCONJ
faba-265	34	39	predictive	predictive	ADJ
faba-265	34	40	power	power	NOUN
faba-265	34	41	.	.	PUNCT
faba-265	35	1	hybrid	hybrid	NOUN
faba-265	35	2	models	model	NOUN
faba-265	35	3	combining	combine	VERB
faba-265	35	4	mpt	mpt	PROPN
faba-265	35	5	and	and	CCONJ
faba-265	35	6	dl	dl	PROPN
faba-265	35	7	are	be	AUX
faba-265	35	8	emerging	emerge	VERB
faba-265	35	9	as	as	ADP
faba-265	35	10	a	a	DET
faba-265	35	11	promising	promising	ADJ
faba-265	35	12	direction	direction	NOUN
faba-265	35	13	for	for	ADP
faba-265	35	14	robust	robust	ADJ
faba-265	35	15	portfolio	portfolio	NOUN
faba-265	35	16	optimization	optimization	NOUN
faba-265	35	17	habib	habib	PROPN
faba-265	35	18	zouaoui	zouaoui	PROPN
faba-265	35	19	,	,	PUNCT
faba-265	35	20	meryem	meryem	NOUN
faba-265	35	21	-	-	PUNCT
faba-265	35	22	nadjat	nadjat	NOUN
faba-265	35	23	naas	naas	PROPN
faba-265	35	24	/	/	SYM
faba-265	35	25	finance	finance	NOUN
faba-265	35	26	,	,	PUNCT
faba-265	35	27	accounting	accounting	NOUN
faba-265	35	28	and	and	CCONJ
faba-265	35	29	business	business	NOUN
faba-265	35	30	analysis	analysis	NOUN
faba-265	35	31	,	,	PUNCT
faba-265	35	32	volume	volume	NOUN
faba-265	35	33	7	7	NUM
faba-265	35	34	,	,	PUNCT
faba-265	35	35	issue	issue	NOUN
faba-265	35	36	1	1	NUM
faba-265	35	37	,	,	PUNCT
faba-265	35	38	2025	2025	NUM
faba-265	35	39	84	84	NUM
faba-265	35	40	table	table	NOUN
faba-265	35	41	1	1	NUM
faba-265	35	42	.	.	PUNCT
faba-265	35	43	reviewed	review	VERB
faba-265	35	44	previous	previous	ADJ
faba-265	35	45	studies	study	NOUN
faba-265	35	46	authors	author	NOUN
faba-265	35	47	/	/	SYM
faba-265	35	48	year	year	NOUN
faba-265	35	49	studytitle	studytitle	NOUN
faba-265	35	50	methodology	methodology	NOUN
faba-265	35	51	key	key	NOUN
faba-265	35	52	findings	finding	NOUN
faba-265	35	53	heydarpour	heydarpour	PROPN
faba-265	35	54	et	et	PROPN
faba-265	35	55	al	al	PROPN
faba-265	35	56	.	.	PROPN
faba-265	36	1	(	(	PUNCT
faba-265	36	2	2024	2024	NUM
faba-265	36	3	)	)	PUNCT
faba-265	36	4	robust	robust	ADJ
faba-265	36	5	portfolio	portfolio	NOUN
faba-265	36	6	optimization	optimization	NOUN
faba-265	36	7	using	use	VERB
faba-265	36	8	lstm	lstm	NOUN
faba-265	36	9	-	-	PUNCT
faba-265	36	10	based	base	VERB
faba-265	36	11	stock	stock	NOUN
faba-265	36	12	and	and	CCONJ
faba-265	36	13	cryptocurrency	cryptocurrency	NOUN
faba-265	36	14	price	price	NOUN
faba-265	36	15	prediction	prediction	NOUN
faba-265	36	16	:	:	PUNCT
faba-265	36	17	an	an	DET
faba-265	36	18	application	application	NOUN
faba-265	36	19	of	of	ADP
faba-265	36	20	algorithmic	algorithmic	ADJ
faba-265	36	21	trading	trading	NOUN
faba-265	36	22	strategies	strategy	NOUN
faba-265	36	23	vlma	vlma	NOUN
faba-265	36	24	,	,	PUNCT
faba-265	36	25	flma	flma	NOUN
faba-265	36	26	,	,	PUNCT
faba-265	36	27	ema	ema	PROPN
faba-265	36	28	,	,	PUNCT
faba-265	36	29	and	and	CCONJ
faba-265	36	30	sma	sma	VERB
faba-265	36	31	algorithms	algorithm	NOUN
faba-265	36	32	based	base	VERB
faba-265	36	33	on	on	ADP
faba-265	36	34	the	the	DET
faba-265	36	35	lstm	lstm	PROPN
faba-265	36	36	's	's	PART
faba-265	36	37	predicted	predict	VERB
faba-265	36	38	price	price	NOUN
faba-265	36	39	lstm	lstm	NOUN
faba-265	36	40	and	and	CCONJ
faba-265	36	41	rnn	rnn	VERB
faba-265	36	42	capture	capture	VERB
faba-265	36	43	temporal	temporal	ADJ
faba-265	36	44	dependencies	dependency	NOUN
faba-265	36	45	,	,	PUNCT
faba-265	36	46	outperforming	outperforming	NOUN
faba-265	36	47	mpt	mpt	NOUN
faba-265	36	48	in	in	ADP
faba-265	36	49	dynamic	dynamic	ADJ
faba-265	36	50	markets	market	NOUN
faba-265	36	51	.	.	PUNCT
faba-265	37	1	lstm	lstm	PROPN
faba-265	37	2	/	/	SYM
faba-265	37	3	rnn	rnn	PROPN
faba-265	37	4	adapt	adapt	VERB
faba-265	37	5	better	well	ADV
faba-265	37	6	to	to	ADP
faba-265	37	7	timeseries	timeserie	NOUN
faba-265	37	8	data	datum	NOUN
faba-265	37	9	;	;	PUNCT
faba-265	37	10	mpt	mpt	NOUN
faba-265	37	11	assumes	assume	VERB
faba-265	37	12	static	static	ADJ
faba-265	37	13	correlations	correlation	NOUN
faba-265	37	14	.	.	PUNCT
faba-265	38	1	yu	yu	PROPN
faba-265	38	2	(	(	PUNCT
faba-265	38	3	2023	2023	NUM
faba-265	38	4	)	)	PUNCT
faba-265	38	5	mean	mean	ADJ
faba-265	38	6	-	-	PUNCT
faba-265	38	7	variance	variance	NOUN
faba-265	38	8	portfolio	portfolio	NOUN
faba-265	38	9	optimization	optimization	NOUN
faba-265	38	10	by	by	ADP
faba-265	38	11	lstm	lstm	NOUN
faba-265	38	12	-	-	PUNCT
faba-265	38	13	based	base	VERB
faba-265	38	14	predictions	prediction	NOUN
faba-265	38	15	lstm	lstm	NOUN
faba-265	38	16	model	model	NOUN
faba-265	38	17	and	and	CCONJ
faba-265	38	18	based	base	VERB
faba-265	38	19	calculated	calculate	VERB
faba-265	38	20	the	the	DET
faba-265	38	21	predicted	predict	VERB
faba-265	38	22	returns	return	NOUN
faba-265	38	23	on	on	ADP
faba-265	38	24	a	a	DET
faba-265	38	25	rolling	rolling	ADJ
faba-265	38	26	basis	basis	NOUN
faba-265	38	27	hybrid	hybrid	NOUN
faba-265	38	28	model	model	NOUN
faba-265	38	29	which	which	PRON
faba-265	38	30	combine	combine	VERB
faba-265	38	31	the	the	DET
faba-265	38	32	stock	stock	NOUN
faba-265	38	33	price	price	NOUN
faba-265	38	34	forecasting	forecasting	NOUN
faba-265	38	35	with	with	ADP
faba-265	38	36	asset	asset	NOUN
faba-265	38	37	allocation	allocation	NOUN
faba-265	38	38	can	can	AUX
faba-265	38	39	indeed	indeed	ADV
faba-265	38	40	bring	bring	VERB
faba-265	38	41	excess	excess	ADJ
faba-265	38	42	returns	return	NOUN
faba-265	38	43	xu	xu	INTJ
faba-265	38	44	et	et	PROPN
faba-265	38	45	al.(2022	al.(2022	NOUN
faba-265	38	46	)	)	PUNCT
faba-265	38	47	lstm	lstm	PROPN
faba-265	38	48	-	-	PUNCT
faba-265	38	49	mpt	mpt	PROPN
faba-265	38	50	based	base	VERB
faba-265	38	51	quantitative	quantitative	ADJ
faba-265	38	52	portfolio	portfolio	NOUN
faba-265	38	53	decision	decision	NOUN
faba-265	38	54	model	model	NOUN
faba-265	38	55	,	,	PUNCT
faba-265	38	56	combining	combine	VERB
faba-265	38	57	markowitz	markowitz	PROPN
faba-265	38	58	meanvariance	meanvariance	PROPN
faba-265	38	59	model	model	PROPN
faba-265	38	60	,	,	PUNCT
faba-265	38	61	monte	monte	PROPN
faba-265	38	62	carlo	carlo	PROPN
faba-265	38	63	algorithm	algorithm	PROPN
faba-265	38	64	,	,	PUNCT
faba-265	38	65	and	and	CCONJ
faba-265	38	66	lstm	lstm	NOUN
faba-265	38	67	prediction	prediction	NOUN
faba-265	38	68	price	price	NOUN
faba-265	38	69	curve	curve	NOUN
faba-265	38	70	a	a	DET
faba-265	38	71	comparative	comparative	ADJ
faba-265	38	72	analysis	analysis	NOUN
faba-265	38	73	with	with	ADP
faba-265	38	74	the	the	DET
faba-265	38	75	four	four	NUM
faba-265	38	76	commonly	commonly	ADV
faba-265	38	77	used	use	VERB
faba-265	38	78	portfolio	portfolio	NOUN
faba-265	38	79	model	model	NOUN
faba-265	38	80	strategies	strategy	NOUN
faba-265	38	81	shows	show	VERB
faba-265	38	82	that	that	SCONJ
faba-265	38	83	the	the	DET
faba-265	38	84	lstmmpt	lstmmpt	ADJ
faba-265	38	85	decision	decision	NOUN
faba-265	38	86	model	model	NOUN
faba-265	38	87	is	be	AUX
faba-265	38	88	valid	valid	ADJ
faba-265	38	89	and	and	CCONJ
faba-265	38	90	reliable	reliable	ADJ
faba-265	38	91	for	for	ADP
faba-265	38	92	long	long	ADJ
faba-265	38	93	-	-	PUNCT
faba-265	38	94	term	term	NOUN
faba-265	38	95	investments	investment	NOUN
faba-265	38	96	cui	cui	VERB
faba-265	38	97	et	et	NOUN
faba-265	38	98	al	al	PROPN
faba-265	38	99	.	.	PROPN
faba-265	39	1	(	(	PUNCT
faba-265	39	2	2023	2023	NUM
faba-265	39	3	)	)	PUNCT
faba-265	39	4	portfolio	portfolio	NOUN
faba-265	39	5	constructions	construction	NOUN
faba-265	39	6	in	in	ADP
faba-265	39	7	cryptocurrency	cryptocurrency	NOUN
faba-265	39	8	market	market	NOUN
faba-265	39	9	:	:	PUNCT
faba-265	39	10	a	a	DET
faba-265	39	11	cvarbased	cvarbase	VERB
faba-265	39	12	deep	deep	ADJ
faba-265	39	13	reinforcement	reinforcement	NOUN
faba-265	39	14	learning	learn	VERB
faba-265	39	15	the	the	DET
faba-265	39	16	cvar	cvar	NOUN
faba-265	39	17	risk	risk	NOUN
faba-265	39	18	measure	measure	NOUN
faba-265	39	19	and	and	CCONJ
faba-265	39	20	a	a	DET
faba-265	39	21	deep	deep	ADJ
faba-265	39	22	reinforcement	reinforcement	NOUN
faba-265	39	23	learning	learning	NOUN
faba-265	39	24	optimization	optimization	NOUN
faba-265	39	25	unfolding	unfold	VERB
faba-265	39	26	that	that	SCONJ
faba-265	39	27	cvar	cvar	NOUN
faba-265	39	28	measure	measure	NOUN
faba-265	39	29	with	with	ADP
faba-265	39	30	deep	deep	ADJ
faba-265	39	31	learning	learning	NOUN
faba-265	39	32	outperforms	outperform	VERB
faba-265	39	33	the	the	DET
faba-265	39	34	traditional	traditional	ADJ
faba-265	39	35	portfolio	portfolio	NOUN
faba-265	39	36	construction	construction	NOUN
faba-265	39	37	technique	technique	NOUN
faba-265	39	38	xu	xu	INTJ
faba-265	39	39	et	et	PROPN
faba-265	39	40	al	al	PROPN
faba-265	39	41	.	.	PROPN
faba-265	40	1	(	(	PUNCT
faba-265	40	2	2025	2025	NUM
faba-265	40	3	)	)	PUNCT
faba-265	40	4	cryptocurrency	cryptocurrency	NOUN
faba-265	40	5	portfolio	portfolio	NOUN
faba-265	40	6	optimisation	optimisation	NOUN
faba-265	40	7	based	base	VERB
faba-265	40	8	on	on	ADP
faba-265	40	9	lstm	lstm	PROPN
faba-265	40	10	time	time	PROPN
faba-265	40	11	series	series	PROPN
faba-265	40	12	forecasting	forecasting	NOUN
faba-265	40	13	combining	combine	VERB
faba-265	40	14	long	long	ADJ
faba-265	40	15	short	short	ADJ
faba-265	40	16	-	-	PUNCT
faba-265	40	17	term	term	NOUN
faba-265	40	18	memory	memory	NOUN
faba-265	40	19	(	(	PUNCT
faba-265	40	20	lstm	lstm	ADJ
faba-265	40	21	)	)	PUNCT
faba-265	40	22	time	time	NOUN
faba-265	40	23	series	series	PROPN
faba-265	40	24	forecasting	forecasting	NOUN
faba-265	40	25	with	with	ADP
faba-265	40	26	traditional	traditional	ADJ
faba-265	40	27	portfolio	portfolio	NOUN
faba-265	40	28	optimization	optimization	NOUN
faba-265	40	29	methods	method	NOUN
faba-265	40	30	the	the	DET
faba-265	40	31	results	result	NOUN
faba-265	40	32	indicate	indicate	VERB
faba-265	40	33	that	that	SCONJ
faba-265	40	34	the	the	DET
faba-265	40	35	lstmenhanced	lstmenhance	VERB
faba-265	40	36	portfolio	portfolio	NOUN
faba-265	40	37	optimization	optimization	NOUN
faba-265	40	38	method	method	NOUN
faba-265	40	39	yields	yield	VERB
faba-265	40	40	higher	high	ADJ
faba-265	40	41	returns	return	NOUN
faba-265	40	42	and	and	CCONJ
faba-265	40	43	better	well	ADJ
faba-265	40	44	risk	risk	NOUN
faba-265	40	45	management	management	NOUN
faba-265	40	46	compared	compare	VERB
faba-265	40	47	to	to	ADP
faba-265	40	48	traditional	traditional	ADJ
faba-265	40	49	methods	method	NOUN
faba-265	40	50	zhang	zhang	X
faba-265	40	51	)	)	PUNCT
faba-265	40	52	2025(et	2025(et	PROPN
faba-265	40	53	al	al	PROPN
faba-265	40	54	.	.	PUNCT
faba-265	40	55	portfolio	portfolio	NOUN
faba-265	40	56	optimization	optimization	NOUN
faba-265	40	57	with	with	ADP
faba-265	40	58	lstm	lstm	NOUN
faba-265	40	59	-	-	PUNCT
faba-265	40	60	based	base	VERB
faba-265	40	61	return	return	NOUN
faba-265	40	62	and	and	CCONJ
faba-265	40	63	risk	risk	NOUN
faba-265	40	64	information	information	NOUN
faba-265	40	65	deep	deep	ADJ
faba-265	40	66	learning	learning	NOUN
faba-265	40	67	-	-	PUNCT
faba-265	40	68	based	base	VERB
faba-265	40	69	portfolio	portfolio	NOUN
faba-265	40	70	strategy	strategy	NOUN
faba-265	40	71	with	with	ADP
faba-265	40	72	prediction	prediction	NOUN
faba-265	40	73	-	-	PUNCT
faba-265	40	74	based	base	VERB
faba-265	40	75	return	return	NOUN
faba-265	40	76	as	as	ADV
faba-265	40	77	well	well	ADV
faba-265	40	78	as	as	ADP
faba-265	40	79	prediction	prediction	NOUN
faba-265	40	80	-	-	PUNCT
faba-265	40	81	based	base	VERB
faba-265	40	82	risk	risk	NOUN
faba-265	40	83	information	information	NOUN
faba-265	40	84	lstm	lstm	NOUN
faba-265	40	85	and	and	CCONJ
faba-265	40	86	rnn	rnn	VERB
faba-265	40	87	capture	capture	VERB
faba-265	40	88	temporal	temporal	ADJ
faba-265	40	89	dependencies	dependency	NOUN
faba-265	40	90	,	,	PUNCT
faba-265	40	91	outperforming	outperforming	NOUN
faba-265	40	92	mpt	mpt	NOUN
faba-265	40	93	in	in	ADP
faba-265	40	94	dynamic	dynamic	ADJ
faba-265	40	95	markets	market	NOUN
faba-265	40	96	durall	durall	VERB
faba-265	40	97	(	(	PUNCT
faba-265	40	98	2022	2022	NUM
faba-265	40	99	)	)	PUNCT
faba-265	40	100	asset	asset	NOUN
faba-265	40	101	allocation	allocation	NOUN
faba-265	40	102	:	:	PUNCT
faba-265	40	103	from	from	ADP
faba-265	40	104	markowitz	markowitz	PROPN
faba-265	40	105	to	to	ADP
faba-265	40	106	deep	deep	ADJ
faba-265	40	107	reinforcement	reinforcement	NOUN
faba-265	40	108	learning	learn	VERB
faba-265	40	109	mpt	mpt	PROPN
faba-265	40	110	,	,	PUNCT
faba-265	40	111	and	and	CCONJ
faba-265	40	112	on	on	ADP
faba-265	40	113	ml	ml	ADP
faba-265	40	114	approaches	approach	NOUN
faba-265	40	115	based	base	VERB
faba-265	40	116	on	on	ADP
faba-265	40	117	deep	deep	ADJ
faba-265	40	118	reinforcement	reinforcement	NOUN
faba-265	40	119	learning	learn	VERB
faba-265	40	120	drl	drl	PROPN
faba-265	40	121	method	method	NOUN
faba-265	40	122	has	have	VERB
faba-265	40	123	the	the	DET
faba-265	40	124	potential	potential	NOUN
faba-265	40	125	to	to	PART
faba-265	40	126	construct	construct	VERB
faba-265	40	127	a	a	DET
faba-265	40	128	promising	promising	ADJ
faba-265	40	129	investment	investment	NOUN
faba-265	40	130	strategy	strategy	NOUN
faba-265	40	131	sebastian	sebastian	PROPN
faba-265	40	132	et	et	PROPN
faba-265	40	133	al	al	PROPN
faba-265	40	134	.	.	PROPN
faba-265	41	1	(	(	PUNCT
faba-265	41	2	2024	2024	NUM
faba-265	41	3	)	)	PUNCT
faba-265	41	4	deep	deep	ADJ
faba-265	41	5	learning	learning	NOUN
faba-265	41	6	for	for	ADP
faba-265	41	7	stock	stock	NOUN
faba-265	41	8	price	price	NOUN
faba-265	41	9	prediction	prediction	NOUN
faba-265	41	10	and	and	CCONJ
faba-265	41	11	portfolio	portfolio	NOUN
faba-265	41	12	optimization	optimization	NOUN
faba-265	41	13	lstmmpt	lstmmpt	NOUN
faba-265	41	14	.	.	PUNCT
faba-265	42	1	meanvariance	meanvariance	NOUN
faba-265	42	2	optimization	optimization	NOUN
faba-265	42	3	the	the	DET
faba-265	42	4	study	study	NOUN
faba-265	42	5	hence	hence	ADV
faba-265	42	6	concludes	conclude	VERB
faba-265	42	7	that	that	SCONJ
faba-265	42	8	combining	combine	VERB
faba-265	42	9	forecasting	forecasting	NOUN
faba-265	42	10	theory	theory	NOUN
faba-265	42	11	with	with	ADP
faba-265	42	12	portfolio	portfolio	NOUN
faba-265	42	13	selection	selection	NOUN
faba-265	42	14	could	could	AUX
faba-265	42	15	improve	improve	VERB
faba-265	42	16	portfolio	portfolio	NOUN
faba-265	42	17	returns	return	NOUN
faba-265	42	18	source	source	NOUN
faba-265	42	19	:	:	PUNCT
faba-265	42	20	authors	author	NOUN
faba-265	42	21	’	’	PART
faba-265	42	22	analysis	analysis	NOUN
faba-265	42	23	from	from	ADP
faba-265	42	24	literature	literature	NOUN
faba-265	42	25	review	review	PROPN
faba-265	42	26	(	(	PUNCT
faba-265	42	27	2025	2025	NUM
faba-265	42	28	)	)	PUNCT
faba-265	42	29	.	.	PUNCT
faba-265	43	1	broadly	broadly	ADV
faba-265	43	2	,	,	PUNCT
faba-265	43	3	the	the	DET
faba-265	43	4	integration	integration	NOUN
faba-265	43	5	of	of	ADP
faba-265	43	6	deep	deep	ADJ
faba-265	43	7	learning	learning	NOUN
faba-265	43	8	techniques	technique	NOUN
faba-265	43	9	into	into	ADP
faba-265	43	10	cryptocurrency	cryptocurrency	NOUN
faba-265	43	11	portfolio	portfolio	NOUN
faba-265	43	12	optimization	optimization	NOUN
faba-265	43	13	has	have	AUX
faba-265	43	14	garnered	garner	VERB
faba-265	43	15	increasing	increase	VERB
faba-265	43	16	attention	attention	NOUN
faba-265	43	17	due	due	ADP
faba-265	43	18	to	to	ADP
faba-265	43	19	the	the	DET
faba-265	43	20	unique	unique	ADJ
faba-265	43	21	challenges	challenge	NOUN
faba-265	43	22	posed	pose	VERB
faba-265	43	23	by	by	ADP
faba-265	43	24	the	the	DET
faba-265	43	25	highly	highly	ADV
faba-265	43	26	volatile	volatile	ADJ
faba-265	43	27	and	and	CCONJ
faba-265	43	28	non	non	ADJ
faba-265	43	29	-	-	ADJ
faba-265	43	30	linear	linear	ADJ
faba-265	43	31	nature	nature	NOUN
faba-265	43	32	https://ieeexplore.ieee.org/author/37089994028	https://ieeexplore.ieee.org/author/37089994028	NOUN
faba-265	43	33	https://www.researchgate.net/scientific-contributions/zhihan-xu-2310944930?_sg%5b0%5d=nshxw2tzfs_nlqlgcz6xzaexlsztzphyk7yyktuhhfgwykz-6xli54nklpasjn5sk6wyszm.cr3p79x3re5v8zarcoqkkrfrx1_7uiuzoekmlbwtmx5lviqjhc_xdoltc7pngi-yc9nlgkzn7xn5kq_sawhqcq&_sg%5b1%5d=-qo9dnqhyd-cudf6f7ri50_zuzec_iwjsnfl5sent-1nsgnjxlzlfobvtbjwqjrrl4h9nng.i3p6f0lebdaywuwi5lg2tluf8w4dnr79jz4gcfxdxumkjctvcmuhj4-art06vgjjzr3rgcuzpddxcx4vjahrla&_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uiiwicg9zaxrpb24ioijwywdlsgvhzgvyin19	https://www.researchgate.net/scientific-contributions/zhihan-xu-2310944930?_sg%5b0%5d=nshxw2tzfs_nlqlgcz6xzaexlsztzphyk7yyktuhhfgwykz-6xli54nklpasjn5sk6wyszm.cr3p79x3re5v8zarcoqkkrfrx1_7uiuzoekmlbwtmx5lviqjhc_xdoltc7pngi-yc9nlgkzn7xn5kq_sawhqcq&_sg%5b1%5d=-qo9dnqhyd-cudf6f7ri50_zuzec_iwjsnfl5sent-1nsgnjxlzlfobvtbjwqjrrl4h9nng.i3p6f0lebdaywuwi5lg2tluf8w4dnr79jz4gcfxdxumkjctvcmuhj4-art06vgjjzr3rgcuzpddxcx4vjahrla&_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uiiwicg9zaxrpb24ioijwywdlsgvhzgvyin19	VERB
faba-265	43	34	https://papers.ssrn.com/sol3/cf_dev/absbyauth.cfm?per_id=5176908	https://papers.ssrn.com/sol3/cf_dev/absbyauth.cfm?per_id=5176908	PROPN
faba-265	43	35	habib	habib	PROPN
faba-265	43	36	zouaoui	zouaoui	PROPN
faba-265	43	37	,	,	PUNCT
faba-265	43	38	meryem	meryem	NOUN
faba-265	43	39	-	-	PUNCT
faba-265	43	40	nadjat	nadjat	NOUN
faba-265	43	41	naas	naas	PROPN
faba-265	43	42	/	/	SYM
faba-265	43	43	finance	finance	NOUN
faba-265	43	44	,	,	PUNCT
faba-265	43	45	accounting	accounting	NOUN
faba-265	43	46	and	and	CCONJ
faba-265	43	47	business	business	NOUN
faba-265	43	48	analysis	analysis	NOUN
faba-265	43	49	,	,	PUNCT
faba-265	43	50	volume	volume	NOUN
faba-265	43	51	7	7	NUM
faba-265	43	52	,	,	PUNCT
faba-265	43	53	issue	issue	NOUN
faba-265	43	54	1	1	NUM
faba-265	43	55	,	,	PUNCT
faba-265	43	56	2025	2025	NUM
faba-265	43	57	85	85	NUM
faba-265	43	58	of	of	ADP
faba-265	43	59	cryptocurrency	cryptocurrency	NOUN
faba-265	43	60	markets	market	NOUN
faba-265	43	61	.	.	PUNCT
faba-265	44	1	this	this	DET
faba-265	44	2	literature	literature	NOUN
faba-265	44	3	review	review	NOUN
faba-265	44	4	systematically	systematically	ADV
faba-265	44	5	examines	examine	VERB
faba-265	44	6	recent	recent	ADJ
faba-265	44	7	advancements	advancement	NOUN
faba-265	44	8	in	in	ADP
faba-265	44	9	applying	apply	VERB
faba-265	44	10	deep	deep	ADJ
faba-265	44	11	learning	learning	NOUN
faba-265	44	12	methods	method	NOUN
faba-265	44	13	for	for	ADP
faba-265	44	14	optimizing	optimize	VERB
faba-265	44	15	cryptocurrency	cryptocurrency	NOUN
faba-265	44	16	portfolios	portfolio	NOUN
faba-265	44	17	.	.	PUNCT
faba-265	45	1	we	we	PRON
faba-265	45	2	analyze	analyze	VERB
faba-265	45	3	various	various	ADJ
faba-265	45	4	architectures	architecture	NOUN
faba-265	45	5	,	,	PUNCT
faba-265	45	6	including	include	VERB
faba-265	45	7	recurrent	recurrent	ADJ
faba-265	45	8	neural	neural	ADJ
faba-265	45	9	networks	network	NOUN
faba-265	45	10	(	(	PUNCT
faba-265	45	11	rnns	rnns	PROPN
faba-265	45	12	)	)	PUNCT
faba-265	45	13	,	,	PUNCT
faba-265	45	14	convolutional	convolutional	ADJ
faba-265	45	15	neural	neural	ADJ
faba-265	45	16	networks	network	NOUN
faba-265	45	17	(	(	PUNCT
faba-265	45	18	cnns	cnns	PROPN
faba-265	45	19	)	)	PUNCT
faba-265	45	20	,	,	PUNCT
faba-265	45	21	and	and	CCONJ
faba-265	45	22	reinforcement	reinforcement	NOUN
faba-265	45	23	learning	learning	NOUN
faba-265	45	24	,	,	PUNCT
faba-265	45	25	assessing	assess	VERB
faba-265	45	26	their	their	PRON
faba-265	45	27	effectiveness	effectiveness	NOUN
faba-265	45	28	in	in	ADP
faba-265	45	29	predicting	predict	VERB
faba-265	45	30	price	price	NOUN
faba-265	45	31	movements	movement	NOUN
faba-265	45	32	and	and	CCONJ
faba-265	45	33	enhancing	enhance	VERB
faba-265	45	34	portfolio	portfolio	NOUN
faba-265	45	35	performance	performance	NOUN
faba-265	45	36	.	.	PUNCT
faba-265	46	1	the	the	DET
faba-265	46	2	review	review	NOUN
faba-265	46	3	highlights	highlight	VERB
faba-265	46	4	key	key	ADJ
faba-265	46	5	findings	finding	NOUN
faba-265	46	6	on	on	ADP
faba-265	46	7	the	the	DET
faba-265	46	8	ability	ability	NOUN
faba-265	46	9	of	of	ADP
faba-265	46	10	deep	deep	ADJ
faba-265	46	11	learning	learning	NOUN
faba-265	46	12	models	model	NOUN
faba-265	46	13	to	to	PART
faba-265	46	14	capture	capture	VERB
faba-265	46	15	complex	complex	ADJ
faba-265	46	16	relationships	relationship	NOUN
faba-265	46	17	and	and	CCONJ
faba-265	46	18	patterns	pattern	NOUN
faba-265	46	19	within	within	ADP
faba-265	46	20	cryptocurrency	cryptocurrency	NOUN
faba-265	46	21	price	price	NOUN
faba-265	46	22	data	datum	NOUN
faba-265	46	23	,	,	PUNCT
faba-265	46	24	leading	lead	VERB
faba-265	46	25	to	to	ADP
faba-265	46	26	improved	improved	ADJ
faba-265	46	27	risk	risk	NOUN
faba-265	46	28	-	-	PUNCT
faba-265	46	29	adjusted	adjust	VERB
faba-265	46	30	returns	return	NOUN
faba-265	46	31	.	.	PUNCT
faba-265	47	1	additionally	additionally	ADV
faba-265	47	2	,	,	PUNCT
faba-265	47	3	we	we	PRON
faba-265	47	4	discuss	discuss	VERB
faba-265	47	5	the	the	DET
faba-265	47	6	implications	implication	NOUN
faba-265	47	7	of	of	ADP
faba-265	47	8	feature	feature	NOUN
faba-265	47	9	selection	selection	NOUN
faba-265	47	10	,	,	PUNCT
faba-265	47	11	data	datum	NOUN
faba-265	47	12	preprocessing	preprocessing	NOUN
faba-265	47	13	,	,	PUNCT
faba-265	47	14	and	and	CCONJ
faba-265	47	15	model	model	NOUN
faba-265	47	16	evaluation	evaluation	NOUN
faba-265	47	17	metrics	metric	NOUN
faba-265	47	18	critical	critical	ADJ
faba-265	47	19	for	for	ADP
faba-265	47	20	successful	successful	ADJ
faba-265	47	21	implementation	implementation	NOUN
faba-265	47	22	.	.	PUNCT
faba-265	48	1	the	the	DET
faba-265	48	2	review	review	NOUN
faba-265	48	3	concludes	conclude	VERB
faba-265	48	4	by	by	ADP
faba-265	48	5	identifying	identify	VERB
faba-265	48	6	gaps	gap	NOUN
faba-265	48	7	in	in	ADP
faba-265	48	8	the	the	DET
faba-265	48	9	current	current	ADJ
faba-265	48	10	literature	literature	NOUN
faba-265	48	11	and	and	CCONJ
faba-265	48	12	proposing	propose	VERB
faba-265	48	13	directions	direction	NOUN
faba-265	48	14	for	for	ADP
faba-265	48	15	future	future	ADJ
faba-265	48	16	research	research	NOUN
faba-265	48	17	,	,	PUNCT
faba-265	48	18	particularly	particularly	ADV
faba-265	48	19	in	in	ADP
faba-265	48	20	the	the	DET
faba-265	48	21	areas	area	NOUN
faba-265	48	22	of	of	ADP
faba-265	48	23	model	model	NOUN
faba-265	48	24	interpretability	interpretability	NOUN
faba-265	48	25	and	and	CCONJ
faba-265	48	26	the	the	DET
faba-265	48	27	incorporation	incorporation	NOUN
faba-265	48	28	of	of	ADP
faba-265	48	29	macroeconomic	macroeconomic	ADJ
faba-265	48	30	factors	factor	NOUN
faba-265	48	31	into	into	ADP
faba-265	48	32	deep	deep	ADJ
faba-265	48	33	learning	learning	NOUN
faba-265	48	34	frameworks	framework	NOUN
faba-265	48	35	for	for	ADP
faba-265	48	36	cryptocurrency	cryptocurrency	NOUN
faba-265	48	37	portfolio	portfolio	NOUN
faba-265	48	38	optimization	optimization	NOUN
faba-265	48	39	.	.	PUNCT
faba-265	49	1	(	(	PUNCT
faba-265	49	2	ashy	ashy	NOUN
faba-265	49	3	et	et	PROPN
faba-265	49	4	al	al	PROPN
faba-265	49	5	.	.	PROPN
faba-265	49	6	2024	2024	NUM
faba-265	49	7	)	)	PUNCT
faba-265	49	8	.	.	PUNCT
faba-265	50	1	materials	material	NOUN
faba-265	50	2	and	and	CCONJ
faba-265	50	3	methods	method	NOUN
faba-265	50	4	modern	modern	ADJ
faba-265	50	5	portfolio	portfolio	NOUN
faba-265	50	6	theory	theory	NOUN
faba-265	50	7	(	(	PUNCT
faba-265	50	8	mpt	mpt	PROPN
faba-265	50	9	)	)	PUNCT
faba-265	50	10	model	model	NOUN
faba-265	50	11	modern	modern	ADJ
faba-265	50	12	portfolio	portfolio	NOUN
faba-265	50	13	theory	theory	NOUN
faba-265	50	14	(	(	PUNCT
faba-265	50	15	mpt	mpt	PROPN
faba-265	50	16	)	)	PUNCT
faba-265	50	17	provides	provide	VERB
faba-265	50	18	a	a	DET
faba-265	50	19	rigorous	rigorous	ADJ
faba-265	50	20	,	,	PUNCT
faba-265	50	21	quantitative	quantitative	ADJ
faba-265	50	22	framework	framework	NOUN
faba-265	50	23	for	for	ADP
faba-265	50	24	portfolio	portfolio	NOUN
faba-265	50	25	construction	construction	NOUN
faba-265	50	26	that	that	PRON
faba-265	50	27	emphasizes	emphasize	VERB
faba-265	50	28	diversification	diversification	NOUN
faba-265	50	29	and	and	CCONJ
faba-265	50	30	the	the	DET
faba-265	50	31	tradeoff	tradeoff	NOUN
faba-265	50	32	between	between	ADP
faba-265	50	33	risk	risk	NOUN
faba-265	50	34	and	and	CCONJ
faba-265	50	35	return	return	NOUN
faba-265	50	36	.	.	PUNCT
faba-265	51	1	while	while	SCONJ
faba-265	51	2	it	it	PRON
faba-265	51	3	has	have	AUX
faba-265	51	4	become	become	VERB
faba-265	51	5	a	a	DET
faba-265	51	6	cornerstone	cornerstone	NOUN
faba-265	51	7	of	of	ADP
faba-265	51	8	modern	modern	ADJ
faba-265	51	9	investment	investment	NOUN
faba-265	51	10	theory	theory	NOUN
faba-265	51	11	,	,	PUNCT
faba-265	51	12	its	its	PRON
faba-265	51	13	assumptions	assumption	NOUN
faba-265	51	14	of	of	ADP
faba-265	51	15	normal	normal	ADJ
faba-265	51	16	returns	return	NOUN
faba-265	51	17	and	and	CCONJ
faba-265	51	18	constant	constant	ADJ
faba-265	51	19	correlations	correlation	NOUN
faba-265	51	20	can	can	AUX
faba-265	51	21	limit	limit	VERB
faba-265	51	22	its	its	PRON
faba-265	51	23	practical	practical	ADJ
faba-265	51	24	application	application	NOUN
faba-265	51	25	in	in	ADP
faba-265	51	26	volatile	volatile	ADJ
faba-265	51	27	or	or	CCONJ
faba-265	51	28	non	non	ADJ
faba-265	51	29	-	-	ADJ
faba-265	51	30	normal	normal	ADJ
faba-265	51	31	market	market	NOUN
faba-265	51	32	conditions	condition	NOUN
faba-265	51	33	.	.	PUNCT
faba-265	52	1	however	however	ADV
faba-265	52	2	,	,	PUNCT
faba-265	52	3	mpt	mpt	PROPN
faba-265	52	4	continues	continue	VERB
faba-265	52	5	to	to	PART
faba-265	52	6	serve	serve	VERB
faba-265	52	7	as	as	ADP
faba-265	52	8	a	a	DET
faba-265	52	9	benchmark	benchmark	NOUN
faba-265	52	10	,	,	PUNCT
faba-265	52	11	and	and	CCONJ
faba-265	52	12	modern	modern	ADJ
faba-265	52	13	variations	variation	NOUN
faba-265	52	14	(	(	PUNCT
faba-265	52	15	e.g.	e.g.	ADV
faba-265	52	16	,	,	PUNCT
faba-265	52	17	black	black	ADJ
faba-265	52	18	-	-	PUNCT
faba-265	52	19	litterman	litterman	NOUN
faba-265	52	20	model	model	NOUN
faba-265	52	21	,	,	PUNCT
faba-265	52	22	dynamic	dynamic	ADJ
faba-265	52	23	mpt	mpt	NOUN
faba-265	52	24	)	)	PUNCT
faba-265	52	25	have	have	AUX
faba-265	52	26	been	be	AUX
faba-265	52	27	developed	develop	VERB
faba-265	52	28	to	to	PART
faba-265	52	29	address	address	VERB
faba-265	52	30	some	some	PRON
faba-265	52	31	of	of	ADP
faba-265	52	32	its	its	PRON
faba-265	52	33	shortcomings	shortcoming	NOUN
faba-265	52	34	(	(	PUNCT
faba-265	52	35	zouaoui	zouaoui	NOUN
faba-265	52	36	and	and	CCONJ
faba-265	52	37	naas	naas	PROPN
faba-265	52	38	2021	2021	NUM
faba-265	52	39	)	)	PUNCT
faba-265	52	40	.	.	PUNCT
faba-265	53	1	furthermore	furthermore	ADV
faba-265	53	2	,	,	PUNCT
faba-265	53	3	we	we	PRON
faba-265	53	4	should	should	AUX
faba-265	53	5	present	present	VERB
faba-265	53	6	the	the	DET
faba-265	53	7	mpt	mpt	PROPN
faba-265	53	8	mathematical	mathematical	PROPN
faba-265	53	9	model	model	NOUN
faba-265	53	10	,	,	PUNCT
faba-265	53	11	moreover	moreover	ADV
faba-265	53	12	,	,	PUNCT
faba-265	53	13	we	we	PRON
faba-265	53	14	consider	consider	VERB
faba-265	53	15	a	a	DET
faba-265	53	16	more	more	ADV
faba-265	53	17	general	general	ADJ
faba-265	53	18	case	case	NOUN
faba-265	53	19	with	with	ADP
faba-265	53	20	n	n	CCONJ
faba-265	53	21	risky	risky	ADJ
faba-265	53	22	securities	security	NOUN
faba-265	53	23	notations	notation	NOUN
faba-265	53	24	:	:	PUNCT
faba-265	53	25	for	for	ADP
faba-265	53	26	i	i	PRON
faba-265	53	27	=	=	NOUN
faba-265	53	28	1	1	NUM
faba-265	53	29	,	,	PUNCT
faba-265	53	30	...	...	PUNCT
faba-265	53	31	,	,	PUNCT
faba-265	53	32	n	n	CCONJ
faba-265	53	33	,	,	PUNCT
faba-265	53	34	𝐖	𝐖	PROPN
faba-265	53	35	=	=	PROPN
faba-265	53	36	(	(	PUNCT
faba-265	53	37	𝑤1	𝑤1	VERB
faba-265	53	38	,	,	PUNCT
faba-265	53	39	…	…	PUNCT
faba-265	53	40	,	,	PUNCT
faba-265	53	41	𝑤𝑛	𝑤𝑛	PROPN
faba-265	53	42	)	)	PUNCT
faba-265	53	43	:	:	PUNCT
faba-265	53	44	is	be	AUX
faba-265	53	45	the	the	DET
faba-265	53	46	vector	vector	NOUN
faba-265	53	47	of	of	ADP
faba-265	53	48	portfolio	portfolio	NOUN
faba-265	53	49	weights	weight	NOUN
faba-265	53	50	.	.	PUNCT
faba-265	54	1	𝐑	𝐑	NOUN
faba-265	54	2	=	=	SYM
faba-265	54	3	(	(	PUNCT
faba-265	54	4	𝑅1	𝑅1	PROPN
faba-265	54	5	,	,	PUNCT
faba-265	54	6	…	…	PUNCT
faba-265	54	7	,	,	PUNCT
faba-265	54	8	𝑅𝑛	𝑅𝑛	PROPN
faba-265	54	9	)	)	PUNCT
faba-265	54	10	:	:	PUNCT
faba-265	54	11	is	be	AUX
faba-265	54	12	the	the	DET
faba-265	54	13	vector	vector	NOUN
faba-265	54	14	of	of	ADP
faba-265	54	15	asset	asset	NOUN
faba-265	54	16	returns	return	NOUN
faba-265	54	17	.	.	PUNCT
faba-265	55	1	�	�	NOUN
faba-265	55	2	̅	̅	NOUN
faba-265	55	3	�	�	NOUN
faba-265	55	4	=	=	SYM
faba-265	55	5	(	(	PUNCT
faba-265	55	6	�	�	NOUN
faba-265	55	7	̅	̅	NOUN
faba-265	55	8	�	�	NOUN
faba-265	55	9	1	1	NUM
faba-265	55	10	,	,	PUNCT
faba-265	55	11	…	…	PUNCT
faba-265	55	12	,	,	PUNCT
faba-265	55	13	�	�	NOUN
faba-265	55	14	̅	̅	NOUN
faba-265	55	15	�	�	NOUN
faba-265	55	16	𝑛	𝑛	NOUN
faba-265	55	17	)	)	PUNCT
faba-265	55	18	:	:	PUNCT
faba-265	55	19	is	be	AUX
faba-265	55	20	the	the	DET
faba-265	55	21	vector	vector	NOUN
faba-265	55	22	ofasset	ofasset	NOUN
faba-265	55	23	returns	return	NOUN
faba-265	55	24	expectations	expectation	NOUN
faba-265	55	25	.	.	PUNCT
faba-265	56	1	𝐞	𝐞	X
faba-265	56	2	=	=	X
faba-265	56	3	(	(	PUNCT
faba-265	56	4	1	1	NUM
faba-265	56	5	,	,	PUNCT
faba-265	56	6	…	…	PUNCT
faba-265	56	7	,	,	PUNCT
faba-265	56	8	1	1	NUM
faba-265	56	9	)	)	PUNCT
faba-265	56	10	:	:	PUNCT
faba-265	56	11	is	be	AUX
faba-265	56	12	the	the	DET
faba-265	56	13	vector	vector	NOUN
faba-265	56	14	with	with	ADP
faba-265	56	15	all	all	DET
faba-265	56	16	components	component	NOUN
faba-265	56	17	equal	equal	ADJ
faba-265	56	18	to	to	ADP
faba-265	56	19	1	1	NUM
faba-265	56	20	.	.	PUNCT
faba-265	57	1	𝐕	𝐕	NOUN
faba-265	57	2	=	=	PUNCT
faba-265	58	1	[	[	X
faba-265	58	2	𝜎𝑖𝑗	𝜎𝑖𝑗	X
faba-265	58	3	]	]	X
faba-265	58	4	1≤𝑖,𝑗≤𝑛	1≤𝑖,𝑗≤𝑛	PROPN
faba-265	58	5	:	:	PUNCT
faba-265	58	6	is	be	AUX
faba-265	58	7	the	the	DET
faba-265	58	8	(	(	PUNCT
faba-265	58	9	n	n	NUM
faba-265	58	10	×	×	NOUN
faba-265	58	11	n	n	CCONJ
faba-265	58	12	)	)	PUNCT
faba-265	58	13	variance	variance	NOUN
faba-265	58	14	-	-	PUNCT
faba-265	58	15	covariance	covariance	NOUN
faba-265	58	16	matrix	matrix	NOUN
faba-265	58	17	of	of	ADP
faba-265	58	18	returns	return	NOUN
faba-265	58	19	.	.	PUNCT
faba-265	59	1	the	the	DET
faba-265	59	2	matrix	matrix	NOUN
faba-265	59	3	v	v	NOUN
faba-265	59	4	is	be	AUX
faba-265	59	5	supposed	suppose	VERB
faba-265	59	6	to	to	PART
faba-265	59	7	be	be	AUX
faba-265	59	8	invertible	invertible	ADJ
faba-265	59	9	.	.	PUNCT
faba-265	60	1	denote	denote	VERB
faba-265	60	2	by	by	ADP
faba-265	60	3	w	w	PROPN
faba-265	60	4	'	'	PUNCT
faba-265	60	5	the	the	DET
faba-265	60	6	vector	vector	NOUN
faba-265	60	7	deduced	deduce	VERB
faba-265	60	8	from	from	ADP
faba-265	60	9	transposition	transposition	NOUN
faba-265	60	10	of	of	ADP
faba-265	60	11	the	the	DET
faba-265	60	12	vector	vector	NOUN
faba-265	60	13	w.	w.	NOUN
faba-265	60	14	for	for	ADP
faba-265	60	15	each	each	DET
faba-265	60	16	given	give	VERB
faba-265	60	17	expected	expect	VERB
faba-265	60	18	return	return	NOUN
faba-265	60	19	,	,	PUNCT
faba-265	60	20	we	we	PRON
faba-265	60	21	have	have	VERB
faba-265	60	22	to	to	PART
faba-265	60	23	determine	determine	VERB
faba-265	60	24	the	the	DET
faba-265	60	25	minimal	minimal	ADJ
faba-265	60	26	variance	variance	NOUN
faba-265	60	27	portfolio	portfolio	NOUN
faba-265	60	28	.	.	PUNCT
faba-265	61	1	therefore	therefore	ADV
faba-265	61	2	,	,	PUNCT
faba-265	61	3	following	follow	VERB
faba-265	61	4	the	the	DET
faba-265	61	5	markowitz	markowitz	PROPN
faba-265	61	6	approach	approach	NOUN
faba-265	61	7	to	to	PART
faba-265	61	8	determine	determine	VERB
faba-265	61	9	optimal	optimal	ADJ
faba-265	61	10	weights	weight	NOUN
faba-265	61	11	of	of	ADP
faba-265	61	12	portfolio	portfolio	NOUN
faba-265	61	13	,	,	PUNCT
faba-265	61	14	we	we	PRON
faba-265	61	15	have	have	VERB
faba-265	61	16	to	to	PART
faba-265	61	17	determine	determine	VERB
faba-265	61	18	the	the	DET
faba-265	61	19	set	set	NOUN
faba-265	61	20	of	of	ADP
faba-265	61	21	portfolios	portfolio	NOUN
faba-265	61	22	which	which	PRON
faba-265	61	23	minimize	minimize	VERB
faba-265	61	24	the	the	DET
faba-265	61	25	variance	variance	NOUN
faba-265	61	26	for	for	ADP
faba-265	61	27	given	give	VERB
faba-265	61	28	expected	expect	VERB
faba-265	61	29	returns	return	NOUN
faba-265	61	30	𝔼[𝑅𝑃	𝔼[𝑅𝑃	NOUN
faba-265	61	31	]	]	PUNCT
faba-265	61	32	.	.	PUNCT
faba-265	62	1	this	this	PRON
faba-265	62	2	leads	lead	VERB
faba-265	62	3	to	to	ADP
faba-265	62	4	the	the	DET
faba-265	62	5	following	follow	VERB
faba-265	62	6	quadratic	quadratic	ADJ
faba-265	62	7	optimization	optimization	NOUN
faba-265	62	8	problem	problem	NOUN
faba-265	62	9	(	(	PUNCT
faba-265	62	10	prigent	prigent	NOUN
faba-265	62	11	2007	2007	NUM
faba-265	62	12	):	):	PUNCT
faba-265	62	13	minww′⋁w	minww′⋁w	PROPN
faba-265	62	14	,	,	PUNCT
faba-265	62	15	𝑤𝑖𝑡ℎ	𝑤𝑖𝑡ℎ	NOUN
faba-265	62	16	w′.	w′.	INTJ
faba-265	62	17	r̅′	r̅′	PROPN
faba-265	62	18	=	=	PUNCT
faba-265	63	1	𝔼[𝑅𝑃	𝔼[𝑅𝑃	NOUN
faba-265	63	2	]	]	X
faba-265	63	3	w′.	w′.	X
faba-265	63	4	e	e	NOUN
faba-265	63	5	=	=	SYM
faba-265	63	6	1	1	NUM
faba-265	63	7	(	(	PUNCT
faba-265	63	8	1	1	NUM
faba-265	63	9	)	)	PUNCT
faba-265	63	10	the	the	DET
faba-265	63	11	first	first	ADJ
faba-265	63	12	constraint	constraint	NOUN
faba-265	63	13	corresponds	correspond	VERB
faba-265	63	14	to	to	ADP
faba-265	63	15	the	the	DET
faba-265	63	16	fixed	fix	VERB
faba-265	63	17	expectation	expectation	NOUN
faba-265	63	18	level	level	NOUN
faba-265	63	19	.	.	PUNCT
faba-265	64	1	the	the	DET
faba-265	64	2	second	second	ADJ
faba-265	64	3	constraint	constraint	NOUN
faba-265	64	4	is	be	AUX
faba-265	64	5	simply	simply	ADV
faba-265	64	6	that	that	SCONJ
faba-265	64	7	w	w	NOUN
faba-265	64	8	is	be	AUX
faba-265	64	9	a	a	DET
faba-265	64	10	vector	vector	NOUN
faba-265	64	11	of	of	ADP
faba-265	64	12	weights	weight	NOUN
faba-265	64	13	.	.	PUNCT
faba-265	65	1	however	however	ADV
faba-265	65	2	,	,	PUNCT
faba-265	65	3	short	short	ADJ
faba-265	65	4	selling	selling	NOUN
faba-265	65	5	is	be	AUX
faba-265	65	6	allowed	allow	VERB
faba-265	65	7	and	and	CCONJ
faba-265	65	8	no	no	DET
faba-265	65	9	other	other	ADJ
faba-265	65	10	specific	specific	ADJ
faba-265	65	11	constraints	constraint	NOUN
faba-265	65	12	are	be	AUX
faba-265	65	13	introduced	introduce	VERB
faba-265	65	14	.	.	PUNCT
faba-265	66	1	the	the	DET
faba-265	66	2	expected	expect	VERB
faba-265	66	3	return	return	NOUN
faba-265	66	4	of	of	ADP
faba-265	66	5	any	any	DET
faba-265	66	6	portfolio	portfolio	NOUN
faba-265	66	7	p	p	NOUN
faba-265	66	8	with	with	ADP
faba-265	66	9	weights	weight	NOUN
faba-265	66	10	w	w	NOUN
faba-265	66	11	is	be	AUX
faba-265	66	12	given	give	VERB
faba-265	66	13	by	by	ADP
faba-265	66	14	:	:	PUNCT
faba-265	66	15	𝔼[𝑅𝑃	𝔼[𝑅𝑃	NOUN
faba-265	66	16	]	]	PUNCT
faba-265	66	17	=	=	SYM
faba-265	66	18	∑	∑	PUNCT
faba-265	66	19	𝑤𝑖𝔼[𝑅𝑖	𝑤𝑖𝔼[𝑅𝑖	PROPN
faba-265	66	20	]	]	X
faba-265	66	21	𝑛	𝑛	PRON
faba-265	66	22	𝑖=1	𝑖=1	PUNCT
faba-265	66	23	=	=	SYM
faba-265	66	24	w.	w.	PROPN
faba-265	66	25	r̅′	r̅′	PROPN
faba-265	66	26	(	(	PUNCT
faba-265	66	27	2	2	X
faba-265	66	28	)	)	PUNCT
faba-265	66	29	the	the	DET
faba-265	66	30	variance	variance	NOUN
faba-265	66	31	of	of	ADP
faba-265	66	32	the	the	DET
faba-265	66	33	return	return	NOUN
faba-265	66	34	of	of	ADP
faba-265	66	35	p	p	NOUN
faba-265	66	36	is	be	AUX
faba-265	66	37	equal	equal	ADJ
faba-265	66	38	to	to	ADP
faba-265	66	39	:	:	PUNCT
faba-265	66	40	σ2(𝑅𝑃	σ2(𝑅𝑃	PROPN
faba-265	66	41	)	)	PUNCT
faba-265	67	1	=	=	PUNCT
faba-265	67	2	w′v	w′v	X
faba-265	67	3	w	w	X
faba-265	67	4	=	=	PUNCT
faba-265	67	5	∑	∑	PROPN
faba-265	67	6	∑	∑	PROPN
faba-265	67	7	𝑤𝑖𝑤𝑗𝜎𝑖𝑗	𝑤𝑖𝑤𝑗𝜎𝑖𝑗	NOUN
faba-265	67	8	𝑛	𝑛	PRON
faba-265	67	9	𝑗=1	𝑗=1	SYM
faba-265	67	10	𝑛	𝑛	PRON
faba-265	67	11	𝑖=1	𝑖=1	PUNCT
faba-265	67	12	=	=	PUNCT
faba-265	67	13	∑	∑	PUNCT
faba-265	67	14	∑	∑	PUNCT
faba-265	67	15	𝑤𝑖𝑤𝑗𝜎𝑖𝑗	𝑤𝑖𝑤𝑗𝜎𝑖𝑗	PROPN
faba-265	67	16	+	+	PROPN
faba-265	67	17	∑	∑	PROPN
faba-265	67	18	𝑤𝑖	𝑤𝑖	ADP
faba-265	67	19	2𝜎𝑖	2𝜎𝑖	ADJ
faba-265	67	20	2	2	NUM
faba-265	67	21	𝑛	𝑛	PRON
faba-265	67	22	𝑖=1	𝑖=1	PUNCT
faba-265	67	23	𝑛	𝑛	ADP
faba-265	67	24	𝑗=𝑖+1	𝑗=𝑖+1	NOUN
faba-265	67	25	𝑛	𝑛	PRON
faba-265	67	26	𝑖=1	𝑖=1	PROPN
faba-265	67	27	(	(	PUNCT
faba-265	67	28	3	3	X
faba-265	67	29	)	)	PUNCT
faba-265	67	30	the	the	DET
faba-265	67	31	previous	previous	ADJ
faba-265	67	32	relation	relation	NOUN
faba-265	67	33	shows	show	VERB
faba-265	67	34	the	the	DET
faba-265	67	35	decomposition	decomposition	NOUN
faba-265	67	36	of	of	ADP
faba-265	67	37	the	the	DET
faba-265	67	38	variance	variance	NOUN
faba-265	67	39	of	of	ADP
faba-265	67	40	the	the	DET
faba-265	67	41	portfolio	portfolio	NOUN
faba-265	67	42	return	return	VERB
faba-265	67	43	into	into	ADP
faba-265	67	44	two	two	NUM
faba-265	67	45	components	component	NOUN
faba-265	67	46	.	.	PUNCT
faba-265	68	1	this	this	DET
faba-265	68	2	relation	relation	NOUN
faba-265	68	3	proves	prove	VERB
faba-265	68	4	that	that	SCONJ
faba-265	68	5	the	the	DET
faba-265	68	6	marginal	marginal	ADJ
faba-265	68	7	contribution	contribution	NOUN
faba-265	68	8	of	of	ADP
faba-265	68	9	a	a	DET
faba-265	68	10	given	give	VERB
faba-265	68	11	asset	asset	NOUN
faba-265	68	12	to	to	ADP
faba-265	68	13	the	the	DET
faba-265	68	14	risk	risk	NOUN
faba-265	68	15	of	of	ADP
faba-265	68	16	the	the	DET
faba-265	68	17	whole	whole	ADJ
faba-265	68	18	portfolio	portfolio	NOUN
faba-265	68	19	is	be	AUX
faba-265	68	20	not	not	PART
faba-265	68	21	reduced	reduce	VERB
faba-265	68	22	to	to	ADP
faba-265	68	23	its	its	PRON
faba-265	68	24	own	own	ADJ
faba-265	68	25	risk	risk	NOUN
faba-265	68	26	(	(	PUNCT
faba-265	68	27	its	its	PRON
faba-265	68	28	variance	variance	NOUN
faba-265	68	29	)	)	PUNCT
faba-265	68	30	,	,	PUNCT
faba-265	68	31	but	but	CCONJ
faba-265	68	32	also	also	ADV
faba-265	68	33	takes	take	VERB
faba-265	68	34	account	account	NOUN
faba-265	68	35	of	of	ADP
faba-265	68	36	its	its	PRON
faba-265	68	37	potential	potential	ADJ
faba-265	68	38	correlations	correlation	NOUN
faba-265	68	39	to	to	ADP
faba-265	68	40	other	other	ADJ
faba-265	68	41	securities	security	NOUN
faba-265	68	42	.	.	PUNCT
faba-265	69	1	this	this	DET
faba-265	69	2	latter	latter	ADJ
faba-265	69	3	property	property	NOUN
faba-265	69	4	induces	induce	VERB
faba-265	69	5	the	the	DET
faba-265	69	6	diversification	diversification	NOUN
faba-265	69	7	effect	effect	NOUN
faba-265	69	8	.	.	PUNCT
faba-265	70	1	habib	habib	PROPN
faba-265	70	2	zouaoui	zouaoui	PROPN
faba-265	70	3	,	,	PUNCT
faba-265	70	4	meryem	meryem	NOUN
faba-265	70	5	-	-	PUNCT
faba-265	70	6	nadjat	nadjat	NOUN
faba-265	70	7	naas	naas	PROPN
faba-265	70	8	/	/	SYM
faba-265	70	9	finance	finance	NOUN
faba-265	70	10	,	,	PUNCT
faba-265	70	11	accounting	accounting	NOUN
faba-265	70	12	and	and	CCONJ
faba-265	70	13	business	business	NOUN
faba-265	70	14	analysis	analysis	NOUN
faba-265	70	15	,	,	PUNCT
faba-265	70	16	volume	volume	NOUN
faba-265	70	17	7	7	NUM
faba-265	70	18	,	,	PUNCT
faba-265	70	19	issue	issue	NOUN
faba-265	70	20	1	1	NUM
faba-265	70	21	,	,	PUNCT
faba-265	70	22	2025	2025	NUM
faba-265	70	23	86	86	NUM
faba-265	70	24	from	from	ADP
faba-265	70	25	relation	relation	NOUN
faba-265	70	26	below	below	ADV
faba-265	70	27	,	,	PUNCT
faba-265	70	28	the	the	DET
faba-265	70	29	partial	partial	ADJ
faba-265	70	30	derivative	derivative	NOUN
faba-265	70	31	with	with	ADP
faba-265	70	32	respect	respect	NOUN
faba-265	70	33	to	to	ADP
faba-265	70	34	any	any	DET
faba-265	70	35	weight	weight	NOUN
faba-265	70	36	wi	wi	PROPN
faba-265	70	37	is	be	AUX
faba-265	70	38	deduced	deduce	VERB
faba-265	70	39	:	:	PUNCT
faba-265	70	40	∂σ2(𝑅𝑃	∂σ2(𝑅𝑃	NOUN
faba-265	70	41	)	)	PUNCT
faba-265	71	1	∂𝑤𝑖	∂𝑤𝑖	NOUN
faba-265	71	2	=	=	SYM
faba-265	71	3	2	2	NUM
faba-265	71	4	∑	∑	PUNCT
faba-265	71	5	𝑤𝑖𝜎𝑖𝑗	𝑤𝑖𝜎𝑖𝑗	VERB
faba-265	71	6	𝑛	𝑛	PRON
faba-265	71	7	𝑗=1	𝑗=1	PROPN
faba-265	71	8	(	(	PUNCT
faba-265	71	9	4	4	X
faba-265	71	10	)	)	PUNCT
faba-265	71	11	denote	denote	NOUN
faba-265	71	12	by	by	ADP
faba-265	71	13	σip	σip	NOUN
faba-265	71	14	the	the	DET
faba-265	71	15	correlation	correlation	NOUN
faba-265	71	16	coefficient	coefficient	NOUN
faba-265	71	17	between	between	ADP
faba-265	71	18	asset	asset	NOUN
faba-265	71	19	i	i	PRON
faba-265	71	20	and	and	CCONJ
faba-265	71	21	portfolio	portfolio	NOUN
faba-265	72	1	p.	p.	NOUN
faba-265	72	2	then	then	ADV
faba-265	72	3	:	:	PUNCT
faba-265	72	4	∑	∑	PUNCT
faba-265	72	5	𝑤𝑗𝜎𝑖𝑗	𝑤𝑗𝜎𝑖𝑗	VERB
faba-265	72	6	𝑛	𝑛	PRON
faba-265	72	7	𝑗=1	𝑗=1	PROPN
faba-265	72	8	=	=	PUNCT
faba-265	72	9	∑	∑	PUNCT
faba-265	72	10	𝑤𝑗	𝑤𝑗	ADP
faba-265	72	11	𝑛	𝑛	PRON
faba-265	72	12	𝑗=1	𝑗=1	PROPN
faba-265	72	13	𝐶𝑜𝑣(𝑅𝑖	𝐶𝑜𝑣(𝑅𝑖	PROPN
faba-265	72	14	,	,	PUNCT
faba-265	72	15	𝑅𝑗	𝑅𝑗	PROPN
faba-265	72	16	)	)	PUNCT
faba-265	72	17	=	=	SYM
faba-265	72	18	𝐶𝑜𝑣	𝐶𝑜𝑣	PROPN
faba-265	72	19	(	(	PUNCT
faba-265	72	20	𝑅𝑖	𝑅𝑖	PROPN
faba-265	72	21	,	,	PUNCT
faba-265	72	22	∑	∑	PUNCT
faba-265	72	23	𝑤𝑗	𝑤𝑗	ADP
faba-265	72	24	𝑛	𝑛	PRON
faba-265	72	25	𝑗=1	𝑗=1	PROPN
faba-265	72	26	.	.	PUNCT
faba-265	73	1	𝑅𝑗	𝑅𝑗	PROPN
faba-265	73	2	)	)	PUNCT
faba-265	73	3	=	=	SYM
faba-265	73	4	𝐶𝑜𝑣(𝑅𝑖	𝐶𝑜𝑣(𝑅𝑖	PROPN
faba-265	73	5	,	,	PUNCT
faba-265	73	6	𝑅𝑗	𝑅𝑗	PROPN
faba-265	73	7	)	)	PUNCT
faba-265	73	8	=	=	SYM
faba-265	73	9	𝜎𝑖𝑃	𝜎𝑖𝑃	PROPN
faba-265	73	10	(	(	PUNCT
faba-265	73	11	5	5	NUM
faba-265	73	12	)	)	PUNCT
faba-265	73	13	and	and	CCONJ
faba-265	73	14	finally	finally	ADV
faba-265	73	15	:	:	PUNCT
faba-265	73	16	∂σ2(𝑅𝑃	∂σ2(𝑅𝑃	NOUN
faba-265	73	17	)	)	PUNCT
faba-265	74	1	∂𝑤𝑖	∂𝑤𝑖	NOUN
faba-265	74	2	=	=	SYM
faba-265	74	3	2𝜎𝑖𝑃.	2𝜎𝑖𝑃.	NUM
faba-265	74	4	(	(	PUNCT
faba-265	74	5	6	6	NUM
faba-265	74	6	)	)	PUNCT
faba-265	74	7	deep	deep	ADJ
faba-265	74	8	learning	learning	NOUN
faba-265	74	9	(	(	PUNCT
faba-265	74	10	dl	dl	NOUN
faba-265	74	11	)	)	PUNCT
faba-265	74	12	models	model	NOUN
faba-265	74	13	this	this	DET
faba-265	74	14	section	section	NOUN
faba-265	74	15	is	be	AUX
faba-265	74	16	devoted	devote	VERB
faba-265	74	17	to	to	PART
faba-265	74	18	briefly	briefly	ADV
faba-265	74	19	describe	describe	VERB
faba-265	74	20	the	the	DET
faba-265	74	21	basic	basic	ADJ
faba-265	74	22	principle	principle	NOUN
faba-265	74	23	of	of	ADP
faba-265	74	24	four	four	NUM
faba-265	74	25	non	non	ADJ
faba-265	74	26	-	-	ADJ
faba-265	74	27	linear	linear	ADJ
faba-265	74	28	machine	machine	NOUN
faba-265	74	29	learning	learning	NOUN
faba-265	74	30	models	model	NOUN
faba-265	74	31	or	or	CCONJ
faba-265	74	32	deep	deep	ADJ
faba-265	74	33	learning	learning	NOUN
faba-265	74	34	models	model	NOUN
faba-265	74	35	that	that	PRON
faba-265	74	36	will	will	AUX
faba-265	74	37	be	be	AUX
faba-265	74	38	used	use	VERB
faba-265	74	39	later	later	ADV
faba-265	74	40	for	for	ADP
faba-265	74	41	cryptocurrency	cryptocurrency	NOUN
faba-265	74	42	forecasting	forecasting	NOUN
faba-265	74	43	namely	namely	ADV
faba-265	74	44	rnn	rnn	VERB
faba-265	74	45	,	,	PUNCT
faba-265	74	46	lstm	lstm	NOUN
faba-265	74	47	(	(	PUNCT
faba-265	74	48	zouaoui	zouaoui	PROPN
faba-265	74	49	and	and	CCONJ
faba-265	74	50	naas	naas	PROPN
faba-265	74	51	2023	2023	NUM
faba-265	74	52	)	)	PUNCT
faba-265	74	53	.	.	PUNCT
faba-265	75	1	recurrent	recurrent	ADJ
faba-265	75	2	neural	neural	ADJ
faba-265	75	3	networks	network	NOUN
faba-265	75	4	(	(	PUNCT
faba-265	75	5	rnn	rnn	PROPN
faba-265	75	6	)	)	PUNCT
faba-265	75	7	forecasting	forecasting	NOUN
faba-265	75	8	with	with	ADP
faba-265	75	9	recurrent	recurrent	ADJ
faba-265	75	10	neural	neural	ADJ
faba-265	75	11	networks	network	NOUN
faba-265	75	12	(	(	PUNCT
faba-265	75	13	rnns	rnns	PROPN
faba-265	75	14	)	)	PUNCT
faba-265	75	15	is	be	AUX
faba-265	75	16	a	a	DET
faba-265	75	17	common	common	ADJ
faba-265	75	18	application	application	NOUN
faba-265	75	19	in	in	ADP
faba-265	75	20	time	time	NOUN
faba-265	75	21	series	series	PROPN
faba-265	75	22	analysis	analysis	NOUN
faba-265	75	23	,	,	PUNCT
faba-265	75	24	where	where	SCONJ
faba-265	75	25	the	the	DET
faba-265	75	26	goal	goal	NOUN
faba-265	75	27	is	be	AUX
faba-265	75	28	to	to	PART
faba-265	75	29	predict	predict	VERB
faba-265	75	30	future	future	ADJ
faba-265	75	31	values	value	NOUN
faba-265	75	32	based	base	VERB
faba-265	75	33	on	on	ADP
faba-265	75	34	past	past	ADJ
faba-265	75	35	observations	observation	NOUN
faba-265	75	36	.	.	PUNCT
faba-265	76	1	rnns	rnn	NOUN
faba-265	76	2	are	be	AUX
faba-265	76	3	particularly	particularly	ADV
faba-265	76	4	well	well	ADV
faba-265	76	5	-	-	PUNCT
faba-265	76	6	suited	suit	VERB
faba-265	76	7	for	for	ADP
faba-265	76	8	sequential	sequential	ADJ
faba-265	76	9	data	datum	NOUN
faba-265	76	10	due	due	ADP
faba-265	76	11	to	to	ADP
faba-265	76	12	their	their	PRON
faba-265	76	13	ability	ability	NOUN
faba-265	76	14	to	to	PART
faba-265	76	15	capture	capture	VERB
faba-265	76	16	temporal	temporal	ADJ
faba-265	76	17	dependencies	dependency	NOUN
faba-265	76	18	.	.	PUNCT
faba-265	77	1	here	here	ADV
faba-265	77	2	's	be	AUX
faba-265	77	3	a	a	DET
faba-265	77	4	general	general	ADJ
faba-265	77	5	guide	guide	NOUN
faba-265	77	6	on	on	ADP
faba-265	77	7	how	how	SCONJ
faba-265	77	8	to	to	PART
faba-265	77	9	use	use	VERB
faba-265	77	10	rnns	rnn	NOUN
faba-265	77	11	for	for	ADP
faba-265	77	12	forecasting	forecasting	NOUN
faba-265	77	13	(	(	PUNCT
faba-265	77	14	ibri	ibri	NOUN
faba-265	77	15	and	and	CCONJ
faba-265	77	16	slimane	slimane	PROPN
faba-265	77	17	2022	2022	NUM
faba-265	77	18	):	):	PUNCT
faba-265	77	19	a.	a.	NOUN
faba-265	77	20	data	data	PROPN
faba-265	77	21	preparation	preparation	NOUN
faba-265	77	22	:	:	PUNCT
faba-265	77	23	o	o	NOUN
faba-265	77	24	collect	collect	NOUN
faba-265	77	25	and	and	CCONJ
faba-265	77	26	preprocess	preprocess	VERB
faba-265	77	27	the	the	DET
faba-265	77	28	time	time	NOUN
faba-265	77	29	series	series	PROPN
faba-265	77	30	data	data	PROPN
faba-265	77	31	(	(	PUNCT
faba-265	77	32	e.g.	e.g.	ADV
faba-265	77	33	,	,	PUNCT
faba-265	77	34	normalize	normalize	VERB
faba-265	77	35	or	or	CCONJ
faba-265	77	36	standardize	standardize	VERB
faba-265	77	37	the	the	DET
faba-265	77	38	data	datum	NOUN
faba-265	77	39	)	)	PUNCT
faba-265	77	40	.	.	PUNCT
faba-265	78	1	o	o	NOUN
faba-265	78	2	create	create	VERB
faba-265	78	3	input	input	NOUN
faba-265	78	4	-	-	PUNCT
faba-265	78	5	output	output	NOUN
faba-265	78	6	pairs	pair	NOUN
faba-265	78	7	by	by	ADP
faba-265	78	8	sliding	slide	VERB
faba-265	78	9	a	a	DET
faba-265	78	10	window	window	NOUN
faba-265	78	11	over	over	ADP
faba-265	78	12	the	the	DET
faba-265	78	13	sequence	sequence	NOUN
faba-265	78	14	.	.	PUNCT
faba-265	79	1	for	for	ADP
faba-265	79	2	example	example	NOUN
faba-265	79	3	:	:	PUNCT
faba-265	79	4			X
faba-265	79	5	input	input	NOUN
faba-265	79	6	:	:	PUNCT
faba-265	79	7	(	(	PUNCT
faba-265	79	8	xt	xt	X
faba-265	79	9	,	,	PUNCT
faba-265	79	10	xt+1,	xt+1,	PROPN
faba-265	79	11	…	…	PUNCT
faba-265	79	12	,xt+n−1	,xt+n−1	ADJ
faba-265	79	13	)	)	PUNCT
faba-265	79	14			PART
faba-265	80	1	output	output	NOUN
faba-265	80	2	:	:	PUNCT
faba-265	80	3	xt+n	xt+n	PROPN
faba-265	80	4	(	(	PUNCT
faba-265	80	5	the	the	DET
faba-265	80	6	value	value	NOUN
faba-265	80	7	to	to	PART
faba-265	80	8	predict	predict	VERB
faba-265	80	9	)	)	PUNCT
faba-265	80	10	.	.	PUNCT
faba-265	81	1	b.	b.	PROPN
faba-265	81	2	model	model	PROPN
faba-265	81	3	design	design	PROPN
faba-265	81	4	:	:	PUNCT
faba-265	81	5	o	o	NOUN
faba-265	81	6	choose	choose	VERB
faba-265	81	7	the	the	DET
faba-265	81	8	rnn	rnn	NOUN
faba-265	81	9	architecture	architecture	NOUN
faba-265	81	10	(	(	PUNCT
faba-265	81	11	e.g.	e.g.	ADJ
faba-265	81	12	,	,	PUNCT
faba-265	81	13	lstm	lstm	PROPN
faba-265	81	14	,	,	PUNCT
faba-265	81	15	gru	gru	PROPN
faba-265	81	16	)	)	PUNCT
faba-265	81	17	.	.	PUNCT
faba-265	82	1	o	o	PROPN
faba-265	82	2	define	define	VERB
faba-265	82	3	the	the	DET
faba-265	82	4	number	number	NOUN
faba-265	82	5	of	of	ADP
faba-265	82	6	layers	layer	NOUN
faba-265	82	7	,	,	PUNCT
faba-265	82	8	hidden	hidden	ADJ
faba-265	82	9	units	unit	NOUN
faba-265	82	10	,	,	PUNCT
faba-265	82	11	and	and	CCONJ
faba-265	82	12	activation	activation	NOUN
faba-265	82	13	functions	function	NOUN
faba-265	82	14	.	.	PUNCT
faba-265	83	1	o	o	NOUN
faba-265	83	2	add	add	VERB
faba-265	83	3	a	a	DET
faba-265	83	4	dense	dense	ADJ
faba-265	83	5	layer	layer	NOUN
faba-265	83	6	at	at	ADP
faba-265	83	7	the	the	DET
faba-265	83	8	end	end	NOUN
faba-265	83	9	to	to	PART
faba-265	83	10	produce	produce	VERB
faba-265	83	11	the	the	DET
faba-265	83	12	final	final	ADJ
faba-265	83	13	output	output	NOUN
faba-265	83	14	(	(	PUNCT
faba-265	83	15	e.g.	e.g.	ADV
faba-265	83	16	,	,	PUNCT
faba-265	83	17	a	a	DET
faba-265	83	18	single	single	ADJ
faba-265	83	19	value	value	NOUN
faba-265	83	20	for	for	ADP
faba-265	83	21	univariate	univariate	ADJ
faba-265	83	22	forecasting	forecasting	NOUN
faba-265	83	23	or	or	CCONJ
faba-265	83	24	a	a	DET
faba-265	83	25	vector	vector	NOUN
faba-265	83	26	for	for	ADP
faba-265	83	27	multivariate	multivariate	NOUN
faba-265	83	28	forecasting	forecasting	NOUN
faba-265	83	29	)	)	PUNCT
faba-265	83	30	.	.	PUNCT
faba-265	84	1	c.	c.	PROPN
faba-265	84	2	training	training	NOUN
faba-265	84	3	:	:	PUNCT
faba-265	84	4	o	o	NOUN
faba-265	84	5	use	use	VERB
faba-265	84	6	a	a	DET
faba-265	84	7	loss	loss	NOUN
faba-265	84	8	function	function	NOUN
faba-265	84	9	like	like	INTJ
faba-265	84	10	mean	mean	VERB
faba-265	84	11	squared	square	VERB
faba-265	84	12	error	error	NOUN
faba-265	84	13	(	(	PUNCT
faba-265	84	14	mse	mse	NOUN
faba-265	84	15	)	)	PUNCT
faba-265	84	16	or	or	CCONJ
faba-265	84	17	mean	mean	VERB
faba-265	84	18	absolute	absolute	ADJ
faba-265	84	19	error	error	NOUN
faba-265	84	20	(	(	PUNCT
faba-265	84	21	mae	mae	PROPN
faba-265	84	22	)	)	PUNCT
faba-265	84	23	to	to	PART
faba-265	84	24	measure	measure	VERB
faba-265	84	25	the	the	DET
faba-265	84	26	difference	difference	NOUN
faba-265	84	27	between	between	ADP
faba-265	84	28	predicted	predict	VERB
faba-265	84	29	and	and	CCONJ
faba-265	84	30	actual	actual	ADJ
faba-265	84	31	values	value	NOUN
faba-265	84	32	.	.	PUNCT
faba-265	85	1	o	o	X
faba-265	85	2	optimize	optimize	VERB
faba-265	85	3	the	the	DET
faba-265	85	4	model	model	NOUN
faba-265	85	5	using	use	VERB
faba-265	85	6	backpropagation	backpropagation	NOUN
faba-265	85	7	through	through	ADP
faba-265	85	8	time	time	NOUN
faba-265	85	9	(	(	PUNCT
faba-265	85	10	bptt	bptt	NOUN
faba-265	85	11	)	)	PUNCT
faba-265	85	12	and	and	CCONJ
faba-265	85	13	an	an	DET
faba-265	85	14	optimizer	optimizer	NOUN
faba-265	85	15	like	like	ADP
faba-265	85	16	adam	adam	PROPN
faba-265	85	17	or	or	CCONJ
faba-265	85	18	sgd	sgd	PROPN
faba-265	85	19	.	.	PUNCT
faba-265	86	1	d.	d.	PROPN
faba-265	86	2	evaluation	evaluation	NOUN
faba-265	86	3	:	:	PUNCT
faba-265	86	4	o	o	NOUN
faba-265	86	5	evaluate	evaluate	VERB
faba-265	86	6	the	the	DET
faba-265	86	7	model	model	NOUN
faba-265	86	8	on	on	ADP
faba-265	86	9	a	a	DET
faba-265	86	10	test	test	NOUN
faba-265	86	11	set	set	VERB
faba-265	86	12	using	use	VERB
faba-265	86	13	metrics	metric	NOUN
faba-265	86	14	like	like	ADP
faba-265	86	15	rmse	rmse	NOUN
faba-265	86	16	,	,	PUNCT
faba-265	86	17	mae	mae	PROPN
faba-265	86	18	,	,	PUNCT
faba-265	86	19	or	or	CCONJ
faba-265	86	20	mape	mape	NOUN
faba-265	86	21	.	.	PUNCT
faba-265	87	1	o	o	PROPN
faba-265	87	2	visualize	visualize	VERB
faba-265	87	3	the	the	DET
faba-265	87	4	predictions	prediction	NOUN
faba-265	87	5	against	against	ADP
faba-265	87	6	the	the	DET
faba-265	87	7	actual	actual	ADJ
faba-265	87	8	values	value	NOUN
faba-265	87	9	to	to	PART
faba-265	87	10	assess	assess	VERB
faba-265	87	11	performance	performance	NOUN
faba-265	87	12	.	.	PUNCT
faba-265	88	1	e.	e.	PROPN
faba-265	88	2	forecasting	forecasting	PROPN
faba-265	88	3	:	:	PUNCT
faba-265	89	1	o	o	NOUN
faba-265	89	2	use	use	VERB
faba-265	89	3	the	the	DET
faba-265	89	4	trained	train	VERB
faba-265	89	5	model	model	NOUN
faba-265	89	6	to	to	PART
faba-265	89	7	predict	predict	VERB
faba-265	89	8	future	future	ADJ
faba-265	89	9	values	value	NOUN
faba-265	89	10	by	by	ADP
faba-265	89	11	feeding	feed	VERB
faba-265	89	12	it	it	PRON
faba-265	89	13	the	the	DET
faba-265	89	14	most	most	ADV
faba-265	89	15	recent	recent	ADJ
faba-265	89	16	sequence	sequence	NOUN
faba-265	89	17	of	of	ADP
faba-265	89	18	data	data	PROPN
faba-265	89	19	.	.	PUNCT
faba-265	90	1	longshort	longshort	NOUN
faba-265	90	2	-	-	PUNCT
faba-265	90	3	term	term	NOUN
faba-265	90	4	memory	memory	NOUN
faba-265	90	5	(	(	PUNCT
faba-265	90	6	lstm	lstm	NOUN
faba-265	90	7	)	)	PUNCT
faba-265	90	8	model	model	NOUN
faba-265	90	9	lstm	lstm	NOUN
faba-265	90	10	(	(	PUNCT
faba-265	90	11	long	long	ADJ
faba-265	90	12	short	short	ADJ
faba-265	90	13	-	-	PUNCT
faba-265	90	14	term	term	NOUN
faba-265	90	15	memory	memory	NOUN
faba-265	90	16	)	)	PUNCT
faba-265	90	17	is	be	AUX
faba-265	90	18	a	a	DET
faba-265	90	19	specialized	specialized	ADJ
faba-265	90	20	type	type	NOUN
faba-265	90	21	of	of	ADP
faba-265	90	22	recurrent	recurrent	ADJ
faba-265	90	23	neural	neural	ADJ
faba-265	90	24	network	network	NOUN
faba-265	90	25	(	(	PUNCT
faba-265	90	26	rnn	rnn	PROPN
faba-265	90	27	)	)	PUNCT
faba-265	90	28	that	that	PRON
faba-265	90	29	is	be	AUX
faba-265	90	30	capable	capable	ADJ
faba-265	90	31	of	of	ADP
faba-265	90	32	learning	learn	VERB
faba-265	90	33	long	long	ADJ
faba-265	90	34	-	-	PUNCT
faba-265	90	35	term	term	NOUN
faba-265	90	36	dependencies	dependency	NOUN
faba-265	90	37	.	.	PUNCT
faba-265	91	1	it	it	PRON
faba-265	91	2	was	be	AUX
faba-265	91	3	introduced	introduce	VERB
faba-265	91	4	by	by	ADP
faba-265	91	5	hochreiter	hochreiter	PROPN
faba-265	91	6	&	&	CCONJ
faba-265	91	7	schmidhuber	schmidhuber	PROPN
faba-265	91	8	in	in	ADP
faba-265	91	9	1997	1997	NUM
faba-265	91	10	to	to	PART
faba-265	91	11	address	address	VERB
faba-265	91	12	the	the	DET
faba-265	91	13	vanishing	vanish	VERB
faba-265	91	14	gradient	gradient	NOUN
faba-265	91	15	problem	problem	NOUN
faba-265	91	16	encountered	encounter	VERB
faba-265	91	17	by	by	ADP
faba-265	91	18	traditional	traditional	ADJ
faba-265	91	19	rnns	rnn	NOUN
faba-265	91	20	.	.	PUNCT
faba-265	92	1	lstm	lstm	PROPN
faba-265	92	2	achieves	achieve	VERB
faba-265	92	3	this	this	PRON
faba-265	92	4	by	by	ADP
faba-265	92	5	using	use	VERB
faba-265	92	6	gates	gate	NOUN
faba-265	92	7	that	that	PRON
faba-265	92	8	regulate	regulate	VERB
faba-265	92	9	the	the	DET
faba-265	92	10	flow	flow	NOUN
faba-265	92	11	of	of	ADP
faba-265	92	12	information	information	NOUN
faba-265	92	13	in	in	ADP
faba-265	92	14	the	the	DET
faba-265	92	15	network	network	NOUN
faba-265	92	16	(	(	PUNCT
faba-265	92	17	brown	brown	PROPN
faba-265	92	18	et	et	PROPN
faba-265	92	19	al	al	PROPN
faba-265	92	20	.	.	PROPN
faba-265	92	21	2023	2023	NUM
faba-265	92	22	)	)	PUNCT
faba-265	92	23	.	.	PUNCT
faba-265	93	1	moreover	moreover	ADV
faba-265	93	2	,	,	PUNCT
faba-265	93	3	the	the	DET
faba-265	93	4	lstms	lstms	NOUN
faba-265	93	5	are	be	AUX
faba-265	93	6	highly	highly	ADV
faba-265	93	7	effective	effective	ADJ
faba-265	93	8	for	for	ADP
faba-265	93	9	tasks	task	NOUN
faba-265	93	10	involving	involve	VERB
faba-265	93	11	sequential	sequential	ADJ
faba-265	93	12	data	datum	NOUN
faba-265	93	13	,	,	PUNCT
faba-265	93	14	such	such	ADJ
faba-265	93	15	as	as	ADP
faba-265	93	16	time	time	NOUN
faba-265	93	17	series	series	PROPN
faba-265	93	18	forecasting	forecasting	NOUN
faba-265	93	19	,	,	PUNCT
faba-265	93	20	natural	natural	ADJ
faba-265	93	21	language	language	NOUN
faba-265	93	22	processing	processing	NOUN
faba-265	93	23	(	(	PUNCT
faba-265	93	24	nlp	nlp	NOUN
faba-265	93	25	)	)	PUNCT
faba-265	93	26	,	,	PUNCT
faba-265	93	27	speech	speech	NOUN
faba-265	93	28	recognition	recognition	NOUN
faba-265	93	29	,	,	PUNCT
faba-265	93	30	and	and	CCONJ
faba-265	93	31	more	more	ADJ
faba-265	93	32	(	(	PUNCT
faba-265	93	33	zeroual	zeroual	NOUN
faba-265	93	34	et	et	PROPN
faba-265	93	35	al	al	PROPN
faba-265	93	36	.	.	PROPN
faba-265	93	37	2020	2020	NUM
faba-265	93	38	)	)	PUNCT
faba-265	93	39	.	.	PUNCT
faba-265	94	1	furthermore	furthermore	ADV
faba-265	94	2	,	,	PUNCT
faba-265	94	3	figure	figure	NOUN
faba-265	94	4	1	1	NUM
faba-265	94	5	shows	show	VERB
faba-265	94	6	a	a	DET
faba-265	94	7	complete	complete	ADJ
faba-265	94	8	diagram	diagram	NOUN
faba-265	94	9	of	of	ADP
faba-265	94	10	lstm	lstm	PROPN
faba-265	94	11	,	,	PUNCT
faba-265	94	12	similar	similar	ADJ
faba-265	94	13	to	to	ADP
faba-265	94	14	figure1	figure1	PROPN
faba-265	94	15	with	with	ADP
faba-265	94	16	rnn	rnn	PROPN
faba-265	94	17	.	.	PUNCT
faba-265	95	1	the	the	DET
faba-265	95	2	lstm	lstm	NOUN
faba-265	95	3	has	have	VERB
faba-265	95	4	four	four	NUM
faba-265	95	5	components	component	NOUN
faba-265	95	6	:	:	PUNCT
faba-265	95	7	input	input	NOUN
faba-265	95	8	gates	gate	NOUN
faba-265	95	9	,	,	PUNCT
faba-265	95	10	forget	forget	VERB
faba-265	95	11	gate	gate	NOUN
faba-265	95	12	,	,	PUNCT
faba-265	95	13	cell	cell	NOUN
faba-265	95	14	state	state	NOUN
faba-265	95	15	,	,	PUNCT
faba-265	95	16	and	and	CCONJ
faba-265	95	17	output	output	NOUN
faba-265	95	18	gate	gate	NOUN
faba-265	95	19	.	.	PUNCT
faba-265	96	1	habib	habib	PROPN
faba-265	96	2	zouaoui	zouaoui	PROPN
faba-265	96	3	,	,	PUNCT
faba-265	96	4	meryem	meryem	NOUN
faba-265	96	5	-	-	PUNCT
faba-265	96	6	nadjat	nadjat	NOUN
faba-265	96	7	naas	naas	PROPN
faba-265	96	8	/	/	SYM
faba-265	96	9	finance	finance	NOUN
faba-265	96	10	,	,	PUNCT
faba-265	96	11	accounting	accounting	NOUN
faba-265	96	12	and	and	CCONJ
faba-265	96	13	business	business	NOUN
faba-265	96	14	analysis	analysis	NOUN
faba-265	96	15	,	,	PUNCT
faba-265	96	16	volume	volume	NOUN
faba-265	96	17	7	7	NUM
faba-265	96	18	,	,	PUNCT
faba-265	96	19	issue	issue	NOUN
faba-265	96	20	1	1	NUM
faba-265	96	21	,	,	PUNCT
faba-265	96	22	2025	2025	NUM
faba-265	96	23	87	87	NUM
faba-265	96	24	figure	figure	NOUN
faba-265	96	25	1	1	NUM
faba-265	96	26	.	.	PUNCT
faba-265	96	27	schematic	schematic	ADJ
faba-265	96	28	diagram	diagram	NOUN
faba-265	96	29	of	of	ADP
faba-265	96	30	lstm	lstm	PROPN
faba-265	96	31	model	model	NOUN
faba-265	96	32	o	o	PROPN
faba-265	96	33	input	input	NOUN
faba-265	96	34	gate	gate	NOUN
faba-265	96	35	(	(	PUNCT
faba-265	96	36	rt	rt	PROPN
faba-265	96	37	)	)	PUNCT
faba-265	96	38	&	&	CCONJ
faba-265	96	39	candidate	candidate	NOUN
faba-265	96	40	cell	cell	NOUN
faba-265	96	41	state(dt):the	state(dt):the	DET
faba-265	96	42	input	input	NOUN
faba-265	96	43	gate	gate	NOUN
faba-265	96	44	decides	decide	VERB
faba-265	96	45	which	which	DET
faba-265	96	46	new	new	ADJ
faba-265	96	47	information	information	NOUN
faba-265	96	48	to	to	PART
faba-265	96	49	store	store	VERB
faba-265	96	50	in	in	ADP
faba-265	96	51	the	the	DET
faba-265	96	52	cell	cell	NOUN
faba-265	96	53	state	state	NOUN
faba-265	96	54	:	:	PUNCT
faba-265	96	55	𝑟𝑡	𝑟𝑡	PROPN
faba-265	96	56	=	=	PUNCT
faba-265	96	57	σ(𝑊𝑓	σ(𝑊𝑓	NOUN
faba-265	96	58	.	.	PUNCT
faba-265	97	1	[	[	X
faba-265	97	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
faba-265	97	3	,	,	PUNCT
faba-265	97	4	𝑥𝑡	𝑥𝑡	ADV
faba-265	97	5	]	]	PUNCT
faba-265	97	6	)	)	PUNCT
faba-265	98	1	+	+	CCONJ
faba-265	98	2	𝑏𝑓	𝑏𝑓	X
faba-265	98	3	(	(	PUNCT
faba-265	98	4	7	7	X
faba-265	98	5	)	)	PUNCT
faba-265	98	6	the	the	DET
faba-265	98	7	candidate	candidate	NOUN
faba-265	98	8	cell	cell	NOUN
faba-265	98	9	state	state	NOUN
faba-265	98	10	represents	represent	VERB
faba-265	98	11	the	the	DET
faba-265	98	12	new	new	ADJ
faba-265	98	13	information	information	NOUN
faba-265	98	14	that	that	PRON
faba-265	98	15	could	could	AUX
faba-265	98	16	be	be	AUX
faba-265	98	17	added	add	VERB
faba-265	98	18	to	to	ADP
faba-265	98	19	the	the	DET
faba-265	98	20	cell	cell	NOUN
faba-265	98	21	state	state	NOUN
faba-265	98	22	.	.	PUNCT
faba-265	99	1	dt	dt	PUNCT
faba-265	100	1	=	=	PUNCT
faba-265	100	2	tanh(𝑊𝑑	tanh(𝑊𝑑	PROPN
faba-265	100	3	.	.	PUNCT
faba-265	101	1	[	[	X
faba-265	101	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
faba-265	101	3	,	,	PUNCT
faba-265	101	4	𝑥𝑡	𝑥𝑡	ADV
faba-265	101	5	]	]	PUNCT
faba-265	101	6	)	)	PUNCT
faba-265	102	1	+	+	CCONJ
faba-265	102	2	𝑏𝑑	𝑏𝑑	PROPN
faba-265	102	3	(	(	PUNCT
faba-265	102	4	8)	8)	NUM
faba-265	102	5	o	o	NOUN
faba-265	102	6	forget	forget	NOUN
faba-265	102	7	gate	gate	NOUN
faba-265	102	8	:	:	PUNCT
faba-265	102	9	the	the	DET
faba-265	102	10	forget	forget	PROPN
faba-265	102	11	gate	gate	PROPN
faba-265	102	12	decides	decide	VERB
faba-265	102	13	how	how	SCONJ
faba-265	102	14	much	much	ADJ
faba-265	102	15	of	of	ADP
faba-265	102	16	the	the	DET
faba-265	102	17	previous	previous	ADJ
faba-265	102	18	memory	memory	NOUN
faba-265	102	19	should	should	AUX
faba-265	102	20	be	be	AUX
faba-265	102	21	discarded	discard	VERB
faba-265	102	22	from	from	ADP
faba-265	102	23	the	the	DET
faba-265	102	24	cell	cell	NOUN
faba-265	102	25	state	state	NOUN
faba-265	102	26	:	:	PUNCT
faba-265	102	27	ft	ft	NOUN
faba-265	102	28	=	=	PUNCT
faba-265	102	29	σ(𝑊𝑖	σ(𝑊𝑖	NOUN
faba-265	102	30	.	.	PUNCT
faba-265	103	1	[	[	X
faba-265	103	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
faba-265	103	3	,	,	PUNCT
faba-265	103	4	𝑥𝑡	𝑥𝑡	ADV
faba-265	103	5	]	]	PUNCT
faba-265	103	6	)	)	PUNCT
faba-265	104	1	+	+	CCONJ
faba-265	104	2	𝑏𝑖	𝑏𝑖	ADP
faba-265	104	3	(	(	PUNCT
faba-265	104	4	9	9	NUM
faba-265	104	5	)	)	PUNCT
faba-265	104	6	when	when	SCONJ
faba-265	104	7	:	:	PUNCT
faba-265	104	8	σ	σ	NOUN
faba-265	104	9	=	=	SYM
faba-265	104	10	sigmoid	sigmoid	NOUN
faba-265	104	11	function	function	NOUN
faba-265	104	12	that	that	PRON
faba-265	104	13	outputs	output	VERB
faba-265	104	14	values	value	NOUN
faba-265	104	15	between	between	ADP
faba-265	104	16	0	0	NUM
faba-265	104	17	and	and	CCONJ
faba-265	104	18	1	1	NUM
faba-265	104	19	(	(	PUNCT
faba-265	104	20	0	0	NUM
faba-265	104	21	means	mean	VERB
faba-265	104	22	“	"	PUNCT
faba-265	104	23	forget	forget	VERB
faba-265	104	24	”	"	PUNCT
faba-265	104	25	and	and	CCONJ
faba-265	104	26	1	1	NUM
faba-265	104	27	means	mean	VERB
faba-265	104	28	“	"	PUNCT
faba-265	104	29	retain	retain	VERB
faba-265	104	30	”	"	PUNCT
faba-265	104	31	)	)	PUNCT
faba-265	104	32	.	.	PUNCT
faba-265	105	1	o	o	NOUN
faba-265	105	2	cell	cell	NOUN
faba-265	105	3	state	state	NOUN
faba-265	105	4	update	update	NOUN
faba-265	105	5	:	:	PUNCT
faba-265	105	6	the	the	DET
faba-265	105	7	new	new	ADJ
faba-265	105	8	cell	cell	NOUN
faba-265	105	9	state	state	NOUN
faba-265	105	10	is	be	AUX
faba-265	105	11	updated	update	VERB
faba-265	105	12	based	base	VERB
faba-265	105	13	on	on	ADP
faba-265	105	14	the	the	DET
faba-265	105	15	forget	forget	NOUN
faba-265	105	16	gate	gate	NOUN
faba-265	105	17	and	and	CCONJ
faba-265	105	18	input	input	NOUN
faba-265	105	19	gate	gate	NOUN
faba-265	105	20	decisions	decision	NOUN
faba-265	105	21	:	:	PUNCT
faba-265	106	1	𝐶t	𝐶t	PROPN
faba-265	106	2	=	=	SYM
faba-265	106	3	ft	ft	PROPN
faba-265	106	4	.	.	PUNCT
faba-265	106	5	𝐶𝑡−1	𝐶𝑡−1	PROPN
faba-265	107	1	+	+	CCONJ
faba-265	107	2	𝑟𝑡	𝑟𝑡	PROPN
faba-265	107	3	.	.	PUNCT
faba-265	108	1	𝑑𝑡	𝑑𝑡	ADP
faba-265	108	2	(	(	PUNCT
faba-265	108	3	10	10	NUM
faba-265	108	4	)	)	PUNCT
faba-265	108	5	the	the	DET
faba-265	108	6	forget	forget	PROPN
faba-265	108	7	gate	gate	PROPN
faba-265	108	8	ct	ct	PROPN
faba-265	108	9	scales	scale	VERB
faba-265	108	10	the	the	DET
faba-265	108	11	previous	previous	ADJ
faba-265	108	12	cell	cell	NOUN
faba-265	108	13	state	state	NOUN
faba-265	108	14	ct−1	ct−1	PROPN
faba-265	108	15	,	,	PUNCT
faba-265	108	16	and	and	CCONJ
faba-265	108	17	the	the	DET
faba-265	108	18	input	input	NOUN
faba-265	108	19	gate	gate	NOUN
faba-265	108	20	rt	rt	PROPN
faba-265	108	21	scales	scale	VERB
faba-265	108	22	the	the	DET
faba-265	108	23	candidate	candidate	NOUN
faba-265	108	24	cell	cell	NOUN
faba-265	108	25	state	state	NOUN
faba-265	108	26	dt	dt	PROPN
faba-265	108	27	.	.	PUNCT
faba-265	109	1	o	o	PROPN
faba-265	109	2	output	output	NOUN
faba-265	109	3	gate	gate	NOUN
faba-265	109	4	:	:	PUNCT
faba-265	109	5	the	the	DET
faba-265	109	6	output	output	NOUN
faba-265	109	7	gate	gate	NOUN
faba-265	109	8	controls	control	VERB
faba-265	109	9	what	what	PRON
faba-265	109	10	part	part	NOUN
faba-265	109	11	of	of	ADP
faba-265	109	12	the	the	DET
faba-265	109	13	cell	cell	NOUN
faba-265	109	14	state	state	NOUN
faba-265	109	15	to	to	PART
faba-265	109	16	output	output	VERB
faba-265	109	17	as	as	ADP
faba-265	109	18	the	the	DET
faba-265	109	19	next	next	ADJ
faba-265	109	20	hidden	hide	VERB
faba-265	109	21	state	state	NOUN
faba-265	109	22	ht	ht	PROPN
faba-265	109	23	:	:	PUNCT
faba-265	109	24	𝑜t	𝑜t	X
faba-265	109	25	=	=	SYM
faba-265	110	1	σ(𝑊0	σ(𝑊0	PROPN
faba-265	110	2	.	.	PUNCT
faba-265	111	1	[	[	X
faba-265	111	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
faba-265	111	3	,	,	PUNCT
faba-265	111	4	𝑥𝑡	𝑥𝑡	ADV
faba-265	111	5	]	]	PUNCT
faba-265	111	6	)	)	PUNCT
faba-265	112	1	+	+	CCONJ
faba-265	112	2	𝑏0	𝑏0	NOUN
faba-265	112	3	(	(	PUNCT
faba-265	112	4	11	11	NUM
faba-265	112	5	)	)	PUNCT
faba-265	112	6	ℎt	ℎt	VERB
faba-265	112	7	=	=	SYM
faba-265	112	8	𝑜ttanh	𝑜ttanh	PROPN
faba-265	112	9	𝐶t	𝐶t	PROPN
faba-265	112	10	(	(	PUNCT
faba-265	112	11	12	12	NUM
faba-265	112	12	)	)	PUNCT
faba-265	112	13	the	the	DET
faba-265	112	14	output	output	NOUN
faba-265	112	15	gate	gate	NOUN
faba-265	112	16	decides	decide	VERB
faba-265	112	17	how	how	SCONJ
faba-265	112	18	much	much	ADJ
faba-265	112	19	of	of	ADP
faba-265	112	20	the	the	DET
faba-265	112	21	cell	cell	NOUN
faba-265	112	22	state	state	NOUN
faba-265	112	23	should	should	AUX
faba-265	112	24	be	be	AUX
faba-265	112	25	passed	pass	VERB
faba-265	112	26	to	to	ADP
faba-265	112	27	the	the	DET
faba-265	112	28	next	next	ADJ
faba-265	112	29	time	time	NOUN
faba-265	112	30	step	step	NOUN
faba-265	112	31	.	.	PUNCT
faba-265	113	1	performance	performance	NOUN
faba-265	113	2	metrics	metric	NOUN
faba-265	113	3	table	table	NOUN
faba-265	113	4	below	below	ADP
faba-265	113	5	summarizing	summarize	VERB
faba-265	113	6	the	the	DET
faba-265	113	7	key	key	ADJ
faba-265	113	8	risk	risk	NOUN
faba-265	113	9	-	-	PUNCT
faba-265	113	10	adjusted	adjust	VERB
faba-265	113	11	performance	performance	NOUN
faba-265	113	12	metrics	metric	NOUN
faba-265	113	13	in	in	ADP
faba-265	113	14	portfolio	portfolio	NOUN
faba-265	113	15	optimization	optimization	NOUN
faba-265	113	16	:	:	PUNCT
faba-265	113	17	sharpe	sharpe	PROPN
faba-265	113	18	ratio	ratio	PROPN
faba-265	113	19	,	,	PUNCT
faba-265	113	20	sortino	sortino	ADJ
faba-265	113	21	ratio	ratio	NOUN
faba-265	113	22	,	,	PUNCT
faba-265	113	23	variance	variance	NOUN
faba-265	113	24	(	(	PUNCT
faba-265	113	25	var	var	NOUN
faba-265	113	26	)	)	PUNCT
faba-265	113	27	,	,	PUNCT
faba-265	113	28	and	and	CCONJ
faba-265	113	29	conditional	conditional	ADJ
faba-265	113	30	value	value	NOUN
faba-265	113	31	at	at	ADP
faba-265	113	32	risk	risk	NOUN
faba-265	113	33	(	(	PUNCT
faba-265	113	34	cvar	cvar	NOUN
faba-265	113	35	)	)	PUNCT
faba-265	113	36	.	.	PUNCT
faba-265	114	1	moreover	moreover	ADV
faba-265	114	2	,	,	PUNCT
faba-265	114	3	this	this	DET
faba-265	114	4	table	table	NOUN
faba-265	114	5	highlights	highlight	VERB
faba-265	114	6	how	how	SCONJ
faba-265	114	7	these	these	DET
faba-265	114	8	metrics	metric	NOUN
faba-265	114	9	are	be	AUX
faba-265	114	10	used	use	VERB
faba-265	114	11	in	in	ADP
faba-265	114	12	portfolio	portfolio	NOUN
faba-265	114	13	optimization	optimization	NOUN
faba-265	114	14	to	to	PART
faba-265	114	15	balance	balance	VERB
faba-265	114	16	risk	risk	NOUN
faba-265	114	17	and	and	CCONJ
faba-265	114	18	return	return	NOUN
faba-265	114	19	,	,	PUNCT
faba-265	114	20	such	such	ADJ
faba-265	114	21	as	as	ADP
faba-265	114	22	purpose	purpose	NOUN
faba-265	114	23	in	in	ADP
faba-265	114	24	optimization	optimization	NOUN
faba-265	114	25	and	and	CCONJ
faba-265	114	26	interpretation	interpretation	NOUN
faba-265	114	27	of	of	ADP
faba-265	114	28	results	result	NOUN
faba-265	114	29	.	.	PUNCT
faba-265	115	1	habib	habib	PROPN
faba-265	115	2	zouaoui	zouaoui	PROPN
faba-265	115	3	,	,	PUNCT
faba-265	115	4	meryem	meryem	NOUN
faba-265	115	5	-	-	PUNCT
faba-265	115	6	nadjat	nadjat	NOUN
faba-265	115	7	naas	naas	PROPN
faba-265	115	8	/	/	SYM
faba-265	115	9	finance	finance	NOUN
faba-265	115	10	,	,	PUNCT
faba-265	115	11	accounting	accounting	NOUN
faba-265	115	12	and	and	CCONJ
faba-265	115	13	business	business	NOUN
faba-265	115	14	analysis	analysis	NOUN
faba-265	115	15	,	,	PUNCT
faba-265	115	16	volume	volume	NOUN
faba-265	115	17	7	7	NUM
faba-265	115	18	,	,	PUNCT
faba-265	115	19	issue	issue	NOUN
faba-265	115	20	1	1	NUM
faba-265	115	21	,	,	PUNCT
faba-265	115	22	2025	2025	NUM
faba-265	115	23	88	88	NUM
faba-265	115	24	table	table	NOUN
faba-265	115	25	2	2	NUM
faba-265	115	26	.	.	PUNCT
faba-265	115	27	key	key	ADJ
faba-265	115	28	risk	risk	NOUN
faba-265	115	29	-	-	PUNCT
faba-265	115	30	adjusted	adjust	VERB
faba-265	115	31	performance	performance	NOUN
faba-265	115	32	metrics	metric	NOUN
faba-265	115	33	in	in	ADP
faba-265	115	34	portfolio	portfolio	NOUN
faba-265	115	35	optimization	optimization	NOUN
faba-265	115	36	metric	metric	ADJ
faba-265	115	37	formula	formula	NOUN
faba-265	115	38	purpose	purpose	NOUN
faba-265	115	39	in	in	ADP
faba-265	115	40	optimization	optimization	NOUN
faba-265	115	41	interpretation	interpretation	PROPN
faba-265	115	42	sharpe	sharpe	PROPN
faba-265	115	43	ratio	ratio	PROPN
faba-265	115	44	sharpe	sharpe	PROPN
faba-265	115	45	ratio	ratio	PROPN
faba-265	115	46	=	=	PUNCT
faba-265	115	47	𝔼[𝑅𝑃	𝔼[𝑅𝑃	PROPN
faba-265	115	48	]	]	PUNCT
faba-265	115	49	−	−	PROPN
faba-265	115	50	𝑅𝑓	𝑅𝑓	PROPN
faba-265	115	51	𝜎𝑃	𝜎𝑃	NOUN
faba-265	115	52	maximize	maximize	VERB
faba-265	115	53	risk	risk	NOUN
faba-265	115	54	-	-	PUNCT
faba-265	115	55	adjusted	adjust	VERB
faba-265	115	56	return	return	NOUN
faba-265	115	57	relative	relative	ADJ
faba-265	115	58	to	to	ADP
faba-265	115	59	a	a	DET
faba-265	115	60	risk	risk	NOUN
faba-265	115	61	-	-	PUNCT
faba-265	115	62	free	free	ADJ
faba-265	115	63	rate	rate	NOUN
faba-265	115	64	higher	high	ADJ
faba-265	115	65	values	value	NOUN
faba-265	115	66	indicate	indicate	VERB
faba-265	115	67	better	well	ADJ
faba-265	115	68	risk	risk	NOUN
faba-265	115	69	-	-	PUNCT
faba-265	115	70	adjusted	adjust	VERB
faba-265	115	71	performance	performance	NOUN
faba-265	115	72	.	.	PUNCT
faba-265	116	1	sortino	sortino	ADJ
faba-265	116	2	ratio	ratio	PROPN
faba-265	116	3	sortino	sortino	PROPN
faba-265	116	4	ratio	ratio	NOUN
faba-265	116	5	=	=	PUNCT
faba-265	116	6	𝔼[𝑅𝑃	𝔼[𝑅𝑃	NOUN
faba-265	116	7	]	]	PUNCT
faba-265	116	8	−	−	PROPN
faba-265	116	9	𝑅𝑓	𝑅𝑓	PROPN
faba-265	116	10	𝜎𝑑𝑜𝑤𝑛	𝜎𝑑𝑜𝑤𝑛	NOUN
faba-265	116	11	maximize	maximize	VERB
faba-265	116	12	risk	risk	NOUN
faba-265	116	13	-	-	PUNCT
faba-265	116	14	adjusted	adjust	VERB
faba-265	116	15	return	return	NOUN
faba-265	116	16	,	,	PUNCT
faba-265	116	17	focusing	focus	VERB
faba-265	116	18	only	only	ADV
faba-265	116	19	on	on	ADP
faba-265	116	20	downside	downside	ADJ
faba-265	116	21	risk	risk	NOUN
faba-265	116	22	.	.	PUNCT
faba-265	117	1	higher	high	ADJ
faba-265	117	2	values	value	NOUN
faba-265	117	3	indicate	indicate	VERB
faba-265	117	4	better	well	ADJ
faba-265	117	5	performance	performance	NOUN
faba-265	117	6	with	with	ADP
faba-265	117	7	less	less	ADJ
faba-265	117	8	downside	downside	ADJ
faba-265	117	9	risk	risk	NOUN
faba-265	117	10	.	.	PUNCT
faba-265	118	1	variance	variance	NOUN
faba-265	118	2	(	(	PUNCT
faba-265	118	3	var	var	NOUN
faba-265	118	4	)	)	PUNCT
faba-265	118	5	𝑉𝑎𝑟(𝑅𝑃	𝑉𝑎𝑟(𝑅𝑃	NUM
faba-265	118	6	)	)	PUNCT
faba-265	119	1	=	=	PUNCT
faba-265	119	2	∑	∑	PUNCT
faba-265	119	3	∑	∑	PUNCT
faba-265	119	4	𝑤𝑖𝑤𝑗	𝑤𝑖𝑤𝑗	NOUN
faba-265	119	5	𝑛	𝑛	PRON
faba-265	119	6	𝑗=1	𝑗=1	PROPN
faba-265	119	7	𝐶𝑜𝑣(𝑅𝑖	𝐶𝑜𝑣(𝑅𝑖	PROPN
faba-265	119	8	,	,	PUNCT
faba-265	119	9	𝑅𝑗	𝑅𝑗	PROPN
faba-265	119	10	)	)	PUNCT
faba-265	119	11	n	n	CCONJ
faba-265	119	12	𝑖=1	𝑖=1	PUNCT
faba-265	119	13	minimize	minimize	VERB
faba-265	119	14	the	the	DET
faba-265	119	15	dispersion	dispersion	NOUN
faba-265	119	16	of	of	ADP
faba-265	119	17	returns	return	NOUN
faba-265	119	18	around	around	ADP
faba-265	119	19	the	the	DET
faba-265	119	20	mean	mean	NOUN
faba-265	119	21	(	(	PUNCT
faba-265	119	22	reduce	reduce	VERB
faba-265	119	23	volatility	volatility	NOUN
faba-265	119	24	)	)	PUNCT
faba-265	119	25	.	.	PUNCT
faba-265	120	1	lower	low	ADJ
faba-265	120	2	variance	variance	NOUN
faba-265	120	3	indicates	indicate	VERB
faba-265	120	4	less	less	ADJ
faba-265	120	5	risk	risk	NOUN
faba-265	120	6	and	and	CCONJ
faba-265	120	7	more	more	ADV
faba-265	120	8	stable	stable	ADJ
faba-265	120	9	returns	return	NOUN
faba-265	120	10	.	.	PUNCT
faba-265	121	1	conditional	conditional	ADJ
faba-265	121	2	value	value	NOUN
faba-265	121	3	at	at	ADP
faba-265	121	4	risk	risk	NOUN
faba-265	121	5	(	(	PUNCT
faba-265	121	6	cvar	cvar	NOUN
faba-265	121	7	)	)	PUNCT
faba-265	121	8	cvar	cvar	NOUN
faba-265	121	9	=	=	NOUN
faba-265	121	10	1	1	NUM
faba-265	121	11	1	1	NUM
faba-265	121	12	−	−	NOUN
faba-265	121	13	c	c	NOUN
faba-265	121	14	∫	∫	PROPN
faba-265	121	15	𝑥𝑝(𝑥)𝑑𝑥	𝑥𝑝(𝑥)𝑑𝑥	ADJ
faba-265	121	16	var	var	NOUN
faba-265	121	17	−∞	−∞	PART
faba-265	121	18	minimize	minimize	VERB
faba-265	121	19	the	the	DET
faba-265	121	20	average	average	ADJ
faba-265	121	21	loss	loss	NOUN
faba-265	121	22	in	in	ADP
faba-265	121	23	the	the	DET
faba-265	121	24	worst	bad	ADJ
faba-265	121	25	α%	α%	NOUN
faba-265	121	26	of	of	ADP
faba-265	121	27	cases	case	NOUN
faba-265	121	28	(	(	PUNCT
faba-265	121	29	reduce	reduce	VERB
faba-265	121	30	tail	tail	NOUN
faba-265	121	31	risk	risk	NOUN
faba-265	121	32	)	)	PUNCT
faba-265	121	33	.	.	PUNCT
faba-265	122	1	lower	low	ADJ
faba-265	122	2	cvar	cvar	PROPN
faba-265	122	3	indicates	indicate	VERB
faba-265	122	4	less	less	ADJ
faba-265	122	5	exposure	exposure	NOUN
faba-265	122	6	to	to	ADP
faba-265	122	7	extreme	extreme	ADJ
faba-265	122	8	losses	loss	NOUN
faba-265	122	9	.	.	PUNCT
faba-265	123	1	source	source	NOUN
faba-265	123	2	:	:	PUNCT
faba-265	123	3	prigent	prigent	PROPN
faba-265	123	4	(	(	PUNCT
faba-265	123	5	2007	2007	NUM
faba-265	123	6	)	)	PUNCT
faba-265	123	7	.	.	PUNCT
faba-265	124	1	results	result	NOUN
faba-265	124	2	and	and	CCONJ
faba-265	124	3	analysis	analysis	NOUN
faba-265	124	4	data	datum	NOUN
faba-265	124	5	description	description	NOUN
faba-265	124	6	this	this	DET
faba-265	124	7	study	study	NOUN
faba-265	124	8	constructs	construct	VERB
faba-265	124	9	an	an	DET
faba-265	124	10	optimal	optimal	ADJ
faba-265	124	11	investment	investment	NOUN
faba-265	124	12	portfolio	portfolio	NOUN
faba-265	124	13	for	for	ADP
faba-265	124	14	high	high	ADJ
faba-265	124	15	-	-	PUNCT
faba-265	124	16	frequency	frequency	NOUN
faba-265	124	17	,	,	PUNCT
faba-265	124	18	high	high	ADJ
faba-265	124	19	-	-	PUNCT
faba-265	124	20	risk	risk	NOUN
faba-265	124	21	cryptocurrency	cryptocurrency	NOUN
faba-265	124	22	markets	market	NOUN
faba-265	124	23	by	by	ADP
faba-265	124	24	conducting	conduct	VERB
faba-265	124	25	a	a	DET
faba-265	124	26	comparative	comparative	ADJ
faba-265	124	27	analysis	analysis	NOUN
faba-265	124	28	between	between	ADP
faba-265	124	29	traditional	traditional	ADJ
faba-265	124	30	markowitz	markowitz	NOUN
faba-265	124	31	mean	mean	ADJ
faba-265	124	32	-	-	PUNCT
faba-265	124	33	variance	variance	NOUN
faba-265	124	34	optimization	optimization	NOUN
faba-265	124	35	and	and	CCONJ
faba-265	124	36	advanced	advanced	ADJ
faba-265	124	37	deep	deep	ADJ
faba-265	124	38	learning	learning	NOUN
faba-265	124	39	models	model	NOUN
faba-265	124	40	.	.	PUNCT
faba-265	125	1	by	by	ADP
faba-265	125	2	evaluating	evaluate	VERB
faba-265	125	3	their	their	PRON
faba-265	125	4	performance	performance	NOUN
faba-265	125	5	across	across	ADP
faba-265	125	6	key	key	ADJ
faba-265	125	7	metrics	metric	NOUN
faba-265	125	8	—	—	PUNCT
faba-265	125	9	such	such	ADJ
faba-265	125	10	as	as	ADP
faba-265	125	11	riskadjusted	riskadjusted	ADJ
faba-265	125	12	returns	return	NOUN
faba-265	125	13	,	,	PUNCT
faba-265	125	14	volatility	volatility	NOUN
faba-265	125	15	resilience	resilience	NOUN
faba-265	125	16	,	,	PUNCT
faba-265	125	17	and	and	CCONJ
faba-265	125	18	scalability	scalability	NOUN
faba-265	125	19	—	—	PUNCT
faba-265	125	20	we	we	PRON
faba-265	125	21	aim	aim	VERB
faba-265	125	22	to	to	PART
faba-265	125	23	identify	identify	VERB
faba-265	125	24	the	the	DET
faba-265	125	25	most	most	ADV
faba-265	125	26	effective	effective	ADJ
faba-265	125	27	strategy	strategy	NOUN
faba-265	125	28	for	for	ADP
faba-265	125	29	algorithmic	algorithmic	ADJ
faba-265	125	30	cryptocurrency	cryptocurrency	NOUN
faba-265	125	31	trading	trading	NOUN
faba-265	125	32	.	.	PUNCT
faba-265	126	1	our	our	PRON
faba-265	126	2	findings	finding	NOUN
faba-265	126	3	will	will	AUX
faba-265	126	4	provide	provide	VERB
faba-265	126	5	actionable	actionable	ADJ
faba-265	126	6	insights	insight	NOUN
faba-265	126	7	for	for	ADP
faba-265	126	8	quantitative	quantitative	ADJ
faba-265	126	9	investors	investor	NOUN
faba-265	126	10	,	,	PUNCT
faba-265	126	11	hedge	hedge	NOUN
faba-265	126	12	funds	fund	NOUN
faba-265	126	13	,	,	PUNCT
faba-265	126	14	and	and	CCONJ
faba-265	126	15	automated	automate	VERB
faba-265	126	16	trading	trading	NOUN
faba-265	126	17	systems	system	NOUN
faba-265	126	18	operating	operate	VERB
faba-265	126	19	in	in	ADP
faba-265	126	20	ultra	ultra	ADJ
faba-265	126	21	-	-	ADJ
faba-265	126	22	volatile	volatile	ADJ
faba-265	126	23	digital	digital	ADJ
faba-265	126	24	asset	asset	NOUN
faba-265	126	25	environments	environment	NOUN
faba-265	126	26	.	.	PUNCT
faba-265	127	1	therefore	therefore	ADV
faba-265	127	2	,	,	PUNCT
faba-265	127	3	the	the	DET
faba-265	127	4	study	study	NOUN
faba-265	127	5	was	be	AUX
faba-265	127	6	applied	apply	VERB
faba-265	127	7	to	to	ADP
faba-265	127	8	real	real	ADJ
faba-265	127	9	data	datum	NOUN
faba-265	127	10	of	of	ADP
faba-265	127	11	time	time	NOUN
faba-265	127	12	series	series	NOUN
faba-265	127	13	of	of	ADP
faba-265	127	14	daily	daily	ADJ
faba-265	127	15	prices	price	NOUN
faba-265	127	16	of	of	ADP
faba-265	127	17	a	a	DET
faba-265	127	18	financial	financial	ADJ
faba-265	127	19	portfolio	portfolio	NOUN
faba-265	127	20	consisting	consist	VERB
faba-265	127	21	of	of	ADP
faba-265	127	22	twenty	twenty	NUM
faba-265	127	23	-	-	PUNCT
faba-265	127	24	five	five	NUM
faba-265	127	25	(	(	PUNCT
faba-265	127	26	25	25	NUM
faba-265	127	27	)	)	PUNCT
faba-265	127	28	cryptocurrencies	cryptocurrencie	NOUN
faba-265	127	29	with	with	ADP
faba-265	127	30	high	high	ADJ
faba-265	127	31	market	market	NOUN
faba-265	127	32	values	value	NOUN
faba-265	127	33	and	and	CCONJ
faba-265	127	34	the	the	DET
faba-265	127	35	most	most	ADV
faba-265	127	36	traded	trade	VERB
faba-265	127	37	in	in	ADP
faba-265	127	38	the	the	DET
faba-265	127	39	market	market	NOUN
faba-265	127	40	,	,	PUNCT
faba-265	127	41	during	during	ADP
faba-265	127	42	the	the	DET
faba-265	127	43	period	period	NOUN
faba-265	127	44	between	between	ADP
faba-265	127	45	(	(	PUNCT
faba-265	127	46	08/15/2021	08/15/2021	NOUN
faba-265	127	47	-	-	PUNCT
faba-265	127	48	08/16/2024	08/16/2024	NOUN
faba-265	127	49	)	)	PUNCT
faba-265	127	50	at	at	ADP
faba-265	127	51	1093	1093	NUM
faba-265	127	52	observations	observation	NOUN
faba-265	127	53	based	base	VERB
faba-265	127	54	on	on	ADP
faba-265	127	55	the	the	DET
faba-265	127	56	database	database	NOUN
faba-265	127	57	of	of	ADP
faba-265	127	58	the	the	DET
faba-265	127	59	website	website	NOUN
faba-265	127	60	:	:	PUNCT
faba-265	127	61	https://finance.yahoo.com/crypto/	https://finance.yahoo.com/crypto/	NOUN
faba-265	127	62	and	and	CCONJ
faba-265	127	63	python	python	NOUN
faba-265	127	64	programming	programming	NOUN
faba-265	127	65	.	.	PUNCT
faba-265	128	1	however	however	ADV
faba-265	128	2	,	,	PUNCT
faba-265	128	3	the	the	DET
faba-265	128	4	following	follow	VERB
faba-265	128	5	figure	figure	NOUN
faba-265	128	6	shows	show	VERB
faba-265	128	7	the	the	DET
faba-265	128	8	development	development	NOUN
faba-265	128	9	of	of	ADP
faba-265	128	10	the	the	DET
faba-265	128	11	returns	return	NOUN
faba-265	128	12	of	of	ADP
faba-265	128	13	the	the	DET
faba-265	128	14	portfolio	portfolio	NOUN
faba-265	128	15	assets	asset	NOUN
faba-265	128	16	during	during	ADP
faba-265	128	17	the	the	DET
faba-265	128	18	study	study	NOUN
faba-265	128	19	period	period	NOUN
faba-265	128	20	.	.	PUNCT
faba-265	129	1	source	source	NOUN
faba-265	129	2	:	:	PUNCT
faba-265	129	3	based	base	VERB
faba-265	129	4	on	on	ADP
faba-265	129	5	python	python	PROPN
faba-265	129	6	code	code	NOUN
faba-265	129	7	github	github	NOUN
faba-265	129	8	/	/	SYM
faba-265	129	9	https://github.com	https://github.com	NUM
faba-265	129	10	/	/	SYM
faba-265	129	11	dimasthoriq	dimasthoriq	NOUN
faba-265	129	12	/	/	SYM
faba-265	129	13	dl	dl	NOUN
faba-265	129	14	-	-	PUNCT
faba-265	129	15	portfolio	portfolio	NOUN
faba-265	129	16	optimization	optimization	NOUN
faba-265	129	17	/	/	SYM
faba-265	129	18	blob	blob	NOUN
faba-265	129	19	/	/	SYM
faba-265	129	20	main	main	ADJ
faba-265	129	21	/	/	SYM
faba-265	129	22	experiment.ipynb/	experiment.ipynb/	PROPN
faba-265	129	23	yahoo	yahoo	NOUN
faba-265	129	24	,	,	PUNCT
faba-265	129	25	https://finance.yahoo.com/markets/crypto/all	https://finance.yahoo.com/markets/crypto/all	PRON
faba-265	129	26	figure	figure	NOUN
faba-265	129	27	2	2	NUM
faba-265	129	28	.	.	PUNCT
faba-265	130	1	the	the	DET
faba-265	130	2	returns	return	NOUN
faba-265	130	3	of	of	ADP
faba-265	130	4	cryptocurrency	cryptocurrency	NOUN
faba-265	130	5	portfolio	portfolio	NOUN
faba-265	130	6	assets	asset	NOUN
faba-265	130	7	the	the	DET
faba-265	130	8	cryptocurrency	cryptocurrency	NOUN
faba-265	130	9	market	market	NOUN
faba-265	130	10	witnessed	witness	VERB
faba-265	130	11	many	many	ADJ
faba-265	130	12	fluctuations	fluctuation	NOUN
faba-265	130	13	during	during	ADP
faba-265	130	14	the	the	DET
faba-265	130	15	study	study	NOUN
faba-265	130	16	period	period	NOUN
faba-265	130	17	,	,	PUNCT
faba-265	130	18	especially	especially	ADV
faba-265	130	19	with	with	ADP
faba-265	130	20	the	the	DET
faba-265	130	21	beginning	beginning	NOUN
faba-265	130	22	of	of	ADP
faba-265	130	23	the	the	DET
faba-265	130	24	covid-19	covid-19	PROPN
faba-265	130	25	crisis	crisis	NOUN
faba-265	130	26	,	,	PUNCT
faba-265	130	27	which	which	PRON
faba-265	130	28	was	be	AUX
faba-265	130	29	a	a	DET
faba-265	130	30	difficult	difficult	ADJ
faba-265	130	31	and	and	CCONJ
faba-265	130	32	harsh	harsh	ADJ
faba-265	130	33	year	year	NOUN
faba-265	130	34	,	,	PUNCT
faba-265	130	35	until	until	ADP
faba-265	130	36	2022	2022	NUM
faba-265	130	37	,	,	PUNCT
faba-265	130	38	when	when	SCONJ
faba-265	130	39	cryptocurrencies	cryptocurrencie	NOUN
faba-265	130	40	https://www.amazon.com/jean-luc-prigent/e/b001joencm/ref=dp_byline_cont_book_1	https://www.amazon.com/jean-luc-prigent/e/b001joencm/ref=dp_byline_cont_book_1	VERB
faba-265	130	41	https://finance.yahoo.com/crypto/	https://finance.yahoo.com/crypto/	PROPN
faba-265	130	42	habib	habib	PROPN
faba-265	130	43	zouaoui	zouaoui	PROPN
faba-265	130	44	,	,	PUNCT
faba-265	130	45	meryem	meryem	NOUN
faba-265	130	46	-	-	PUNCT
faba-265	130	47	nadjat	nadjat	NOUN
faba-265	130	48	naas	naas	PROPN
faba-265	130	49	/	/	SYM
faba-265	130	50	finance	finance	NOUN
faba-265	130	51	,	,	PUNCT
faba-265	130	52	accounting	accounting	NOUN
faba-265	130	53	and	and	CCONJ
faba-265	130	54	business	business	NOUN
faba-265	130	55	analysis	analysis	NOUN
faba-265	130	56	,	,	PUNCT
faba-265	130	57	volume	volume	NOUN
faba-265	130	58	7	7	NUM
faba-265	130	59	,	,	PUNCT
faba-265	130	60	issue	issue	NOUN
faba-265	130	61	1	1	NUM
faba-265	130	62	,	,	PUNCT
faba-265	130	63	2025	2025	NUM
faba-265	130	64	89	89	NUM
faba-265	130	65	faced	face	VERB
faba-265	130	66	more	more	ADJ
faba-265	130	67	than	than	ADP
faba-265	130	68	one	one	NUM
faba-265	130	69	dilemma	dilemma	NOUN
faba-265	130	70	that	that	PRON
faba-265	130	71	caused	cause	VERB
faba-265	130	72	them	they	PRON
faba-265	130	73	to	to	PART
faba-265	130	74	face	face	VERB
faba-265	130	75	the	the	DET
faba-265	130	76	largest	large	ADJ
faba-265	130	77	wave	wave	NOUN
faba-265	130	78	of	of	ADP
faba-265	130	79	losses	loss	NOUN
faba-265	130	80	since	since	SCONJ
faba-265	130	81	the	the	DET
faba-265	130	82	corona	corona	NOUN
faba-265	130	83	crisis	crisis	NOUN
faba-265	130	84	.	.	PUNCT
faba-265	131	1	the	the	DET
faba-265	131	2	losses	loss	NOUN
faba-265	131	3	are	be	AUX
faba-265	131	4	not	not	PART
faba-265	131	5	only	only	ADV
faba-265	131	6	due	due	ADJ
faba-265	131	7	to	to	ADP
faba-265	131	8	the	the	DET
faba-265	131	9	return	return	NOUN
faba-265	131	10	of	of	ADP
faba-265	131	11	central	central	ADJ
faba-265	131	12	banks	bank	NOUN
faba-265	131	13	around	around	ADP
faba-265	131	14	the	the	DET
faba-265	131	15	world	world	NOUN
faba-265	131	16	to	to	PART
faba-265	131	17	warn	warn	VERB
faba-265	131	18	against	against	ADP
faba-265	131	19	this	this	DET
faba-265	131	20	market	market	NOUN
faba-265	131	21	,	,	PUNCT
faba-265	131	22	which	which	PRON
faba-265	131	23	has	have	VERB
faba-265	131	24	no	no	DET
faba-265	131	25	controls	control	NOUN
faba-265	131	26	yet	yet	ADV
faba-265	131	27	.	.	PUNCT
faba-265	132	1	but	but	CCONJ
faba-265	132	2	with	with	ADP
faba-265	132	3	central	central	ADJ
faba-265	132	4	banks	bank	NOUN
faba-265	132	5	moving	move	VERB
faba-265	132	6	to	to	PART
faba-265	132	7	tighten	tighten	VERB
faba-265	132	8	monetary	monetary	ADJ
faba-265	132	9	policy	policy	NOUN
faba-265	132	10	and	and	CCONJ
faba-265	132	11	raise	raise	VERB
faba-265	132	12	us	us	PROPN
faba-265	132	13	interest	interest	NOUN
faba-265	132	14	rates	rate	NOUN
faba-265	132	15	to	to	ADP
faba-265	132	16	high	high	ADJ
faba-265	132	17	levels	level	NOUN
faba-265	132	18	,	,	PUNCT
faba-265	132	19	2022	2022	NUM
faba-265	132	20	witnessed	witness	VERB
faba-265	132	21	a	a	DET
faba-265	132	22	mass	mass	ADJ
faba-265	132	23	wave	wave	NOUN
faba-265	132	24	of	of	ADP
faba-265	132	25	investors	investor	NOUN
faba-265	132	26	fleeing	flee	VERB
faba-265	132	27	risky	risky	ADJ
faba-265	132	28	asset	asset	NOUN
faba-265	132	29	markets	market	NOUN
faba-265	132	30	,	,	PUNCT
faba-265	132	31	including	include	VERB
faba-265	132	32	"	"	PUNCT
faba-265	132	33	crypto	crypto	NOUN
faba-265	132	34	"	"	PUNCT
faba-265	132	35	and	and	CCONJ
faba-265	132	36	stocks	stock	NOUN
faba-265	132	37	,	,	PUNCT
faba-265	132	38	to	to	PART
faba-265	132	39	hold	hold	VERB
faba-265	132	40	the	the	DET
faba-265	132	41	us	us	PROPN
faba-265	132	42	dollar	dollar	NOUN
faba-265	132	43	.	.	PUNCT
faba-265	133	1	due	due	ADP
faba-265	133	2	to	to	ADP
faba-265	133	3	the	the	DET
faba-265	133	4	waves	wave	NOUN
faba-265	133	5	of	of	ADP
faba-265	133	6	mass	mass	ADJ
faba-265	133	7	exodus	exodus	NOUN
faba-265	133	8	of	of	ADP
faba-265	133	9	investors	investor	NOUN
faba-265	133	10	,	,	PUNCT
faba-265	133	11	some	some	DET
faba-265	133	12	platforms	platform	NOUN
faba-265	133	13	failed	fail	VERB
faba-265	133	14	to	to	PART
faba-265	133	15	return	return	VERB
faba-265	133	16	customers	customer	NOUN
faba-265	133	17	'	'	PART
faba-265	133	18	dues	due	NOUN
faba-265	133	19	,	,	PUNCT
faba-265	133	20	which	which	PRON
faba-265	133	21	is	be	AUX
faba-265	133	22	what	what	PRON
faba-265	133	23	happened	happen	VERB
faba-265	133	24	with	with	ADP
faba-265	133	25	the	the	DET
faba-265	133	26	"	"	PUNCT
faba-265	133	27	ftx	ftx	NOUN
faba-265	133	28	"	"	PUNCT
faba-265	133	29	platform	platform	NOUN
faba-265	133	30	,	,	PUNCT
faba-265	133	31	which	which	PRON
faba-265	133	32	declared	declare	VERB
faba-265	133	33	bankruptcy	bankruptcy	NOUN
faba-265	133	34	and	and	CCONJ
faba-265	133	35	is	be	AUX
faba-265	133	36	currently	currently	ADV
faba-265	133	37	being	be	AUX
faba-265	133	38	investigated	investigate	VERB
faba-265	133	39	,	,	PUNCT
faba-265	133	40	and	and	CCONJ
faba-265	133	41	its	its	PRON
faba-265	133	42	ceo	ceo	NOUN
faba-265	133	43	is	be	AUX
faba-265	133	44	scheduled	schedule	VERB
faba-265	133	45	to	to	PART
faba-265	133	46	appear	appear	VERB
faba-265	133	47	before	before	ADP
faba-265	133	48	an	an	DET
faba-265	133	49	investigation	investigation	NOUN
faba-265	133	50	committee	committee	NOUN
faba-265	133	51	in	in	ADP
faba-265	133	52	the	the	DET
faba-265	133	53	us	us	PROPN
faba-265	133	54	congress	congress	PROPN
faba-265	133	55	.	.	PUNCT
faba-265	134	1	in	in	ADP
faba-265	134	2	terms	term	NOUN
faba-265	134	3	of	of	ADP
faba-265	134	4	trading	trading	NOUN
faba-265	134	5	during	during	ADP
faba-265	134	6	2022	2022	NUM
faba-265	134	7	,	,	PUNCT
faba-265	134	8	the	the	DET
faba-265	134	9	combined	combined	ADJ
faba-265	134	10	market	market	NOUN
faba-265	134	11	value	value	NOUN
faba-265	134	12	of	of	ADP
faba-265	134	13	cryptocurrencies	cryptocurrencie	NOUN
faba-265	134	14	fell	fall	VERB
faba-265	134	15	by	by	ADP
faba-265	134	16	614	614	NUM
faba-265	134	17	percent	percent	NOUN
faba-265	134	18	,	,	PUNCT
faba-265	134	19	losing	lose	VERB
faba-265	134	20	about	about	ADP
faba-265	134	21	$	$	SYM
faba-265	134	22	1,340	1,340	NUM
faba-265	134	23	billion	billion	NUM
faba-265	134	24	after	after	SCONJ
faba-265	134	25	their	their	PRON
faba-265	134	26	total	total	ADJ
faba-265	134	27	value	value	NOUN
faba-265	134	28	fell	fall	VERB
faba-265	134	29	from	from	ADP
faba-265	134	30	$	$	SYM
faba-265	134	31	2,182.5	2,182.5	NUM
faba-265	134	32	billion	billion	NUM
faba-265	134	33	at	at	ADP
faba-265	134	34	the	the	DET
faba-265	134	35	beginning	beginning	NOUN
faba-265	134	36	of	of	ADP
faba-265	134	37	the	the	DET
faba-265	134	38	year	year	NOUN
faba-265	134	39	’s	’s	PART
faba-265	134	40	trading	trading	NOUN
faba-265	134	41	to	to	ADP
faba-265	134	42	about	about	ADP
faba-265	134	43	$	$	SYM
faba-265	134	44	842.5	842.5	NUM
faba-265	134	45	billion	billion	NUM
faba-265	134	46	at	at	ADP
faba-265	134	47	the	the	DET
faba-265	134	48	end	end	NOUN
faba-265	134	49	.	.	PUNCT
faba-265	135	1	during	during	ADP
faba-265	135	2	2023	2023	NUM
faba-265	135	3	,	,	PUNCT
faba-265	135	4	the	the	DET
faba-265	135	5	market	market	NOUN
faba-265	135	6	value	value	NOUN
faba-265	135	7	of	of	ADP
faba-265	135	8	cryptocurrencies	cryptocurrencie	NOUN
faba-265	135	9	witnessed	witness	VERB
faba-265	135	10	mixed	mixed	ADJ
faba-265	135	11	developments	development	NOUN
faba-265	135	12	,	,	PUNCT
faba-265	135	13	as	as	SCONJ
faba-265	135	14	the	the	DET
faba-265	135	15	total	total	ADJ
faba-265	135	16	market	market	NOUN
faba-265	135	17	value	value	NOUN
faba-265	135	18	of	of	ADP
faba-265	135	19	cryptocurrencies	cryptocurrencie	NOUN
faba-265	135	20	increased	increase	VERB
faba-265	135	21	from	from	ADP
faba-265	135	22	about	about	ADP
faba-265	135	23	$	$	SYM
faba-265	135	24	800	800	NUM
faba-265	135	25	billion	billion	NUM
faba-265	135	26	at	at	ADP
faba-265	135	27	the	the	DET
faba-265	135	28	beginning	beginning	NOUN
faba-265	135	29	of	of	ADP
faba-265	135	30	the	the	DET
faba-265	135	31	year	year	NOUN
faba-265	135	32	to	to	ADP
faba-265	135	33	nearly	nearly	ADV
faba-265	135	34	$	$	SYM
faba-265	135	35	1.1	1.1	NUM
faba-265	135	36	trillion	trillion	NUM
faba-265	135	37	by	by	ADP
faba-265	135	38	the	the	DET
faba-265	135	39	end	end	NOUN
faba-265	135	40	of	of	ADP
faba-265	135	41	2023	2023	NUM
faba-265	135	42	,	,	PUNCT
faba-265	135	43	an	an	DET
faba-265	135	44	increase	increase	NOUN
faba-265	135	45	of	of	ADP
faba-265	135	46	37.5	37.5	NUM
faba-265	135	47	%	%	NOUN
faba-265	135	48	.	.	PUNCT
faba-265	136	1	bitcoin	bitcoin	PROPN
faba-265	136	2	(	(	PUNCT
faba-265	136	3	btc	btc	PROPN
faba-265	136	4	)	)	PUNCT
faba-265	136	5	maintained	maintain	VERB
faba-265	136	6	its	its	PRON
faba-265	136	7	position	position	NOUN
faba-265	136	8	as	as	ADP
faba-265	136	9	the	the	DET
faba-265	136	10	largest	large	ADJ
faba-265	136	11	cryptocurrency	cryptocurrency	NOUN
faba-265	136	12	in	in	ADP
faba-265	136	13	terms	term	NOUN
faba-265	136	14	of	of	ADP
faba-265	136	15	market	market	NOUN
faba-265	136	16	value	value	NOUN
faba-265	136	17	,	,	PUNCT
faba-265	136	18	reaching	reach	VERB
faba-265	136	19	$	$	SYM
faba-265	136	20	450	450	NUM
faba-265	136	21	billion	billion	NUM
faba-265	136	22	by	by	ADP
faba-265	136	23	the	the	DET
faba-265	136	24	end	end	NOUN
faba-265	136	25	of	of	ADP
faba-265	136	26	the	the	DET
faba-265	136	27	year	year	NOUN
faba-265	136	28	,	,	PUNCT
faba-265	136	29	followed	follow	VERB
faba-265	136	30	by	by	ADP
faba-265	136	31	ethereum	ethereum	NOUN
faba-265	136	32	(	(	PUNCT
faba-265	136	33	eth	eth	PROPN
faba-265	136	34	)	)	PUNCT
faba-265	136	35	,	,	PUNCT
faba-265	136	36	which	which	PRON
faba-265	136	37	came	come	VERB
faba-265	136	38	in	in	ADP
faba-265	136	39	second	second	ADJ
faba-265	136	40	place	place	NOUN
faba-265	136	41	with	with	ADP
faba-265	136	42	a	a	DET
faba-265	136	43	market	market	NOUN
faba-265	136	44	value	value	NOUN
faba-265	136	45	of	of	ADP
faba-265	136	46	$	$	SYM
faba-265	136	47	300	300	NUM
faba-265	136	48	billion	billion	NUM
faba-265	136	49	.	.	PUNCT
faba-265	137	1	thus	thus	ADV
faba-265	137	2	,	,	PUNCT
faba-265	137	3	the	the	DET
faba-265	137	4	gap	gap	NOUN
faba-265	137	5	between	between	ADP
faba-265	137	6	bitcoin	bitcoin	NOUN
faba-265	137	7	and	and	CCONJ
faba-265	137	8	ethereum	ethereum	NOUN
faba-265	137	9	narrowed	narrow	VERB
faba-265	137	10	during	during	ADP
faba-265	137	11	the	the	DET
faba-265	137	12	year	year	NOUN
faba-265	137	13	,	,	PUNCT
faba-265	137	14	as	as	SCONJ
faba-265	137	15	it	it	PRON
faba-265	137	16	was	be	AUX
faba-265	137	17	about	about	ADV
faba-265	137	18	$	$	SYM
faba-265	137	19	250	250	NUM
faba-265	137	20	billion	billion	NUM
faba-265	137	21	at	at	ADP
faba-265	137	22	the	the	DET
faba-265	137	23	beginning	beginning	NOUN
faba-265	137	24	of	of	ADP
faba-265	137	25	2023	2023	NUM
faba-265	137	26	and	and	CCONJ
faba-265	137	27	decreased	decrease	VERB
faba-265	137	28	to	to	ADP
faba-265	137	29	$	$	SYM
faba-265	137	30	150	150	NUM
faba-265	137	31	billion	billion	NUM
faba-265	137	32	by	by	ADP
faba-265	137	33	the	the	DET
faba-265	137	34	end	end	NOUN
faba-265	137	35	of	of	ADP
faba-265	137	36	the	the	DET
faba-265	137	37	year	year	NOUN
faba-265	137	38	.	.	PUNCT
faba-265	138	1	other	other	ADJ
faba-265	138	2	cryptocurrencies	cryptocurrencie	NOUN
faba-265	138	3	such	such	ADJ
faba-265	138	4	as	as	ADP
faba-265	138	5	ripple	ripple	NOUN
faba-265	138	6	(	(	PUNCT
faba-265	138	7	xrp	xrp	PROPN
faba-265	138	8	)	)	PUNCT
faba-265	138	9	and	and	CCONJ
faba-265	138	10	coin	coin	NOUN
faba-265	138	11	lite	lite	NOUN
faba-265	138	12	(	(	PUNCT
faba-265	138	13	ltc	ltc	NOUN
faba-265	138	14	)	)	PUNCT
faba-265	138	15	recorded	record	VERB
faba-265	138	16	growth	growth	NOUN
faba-265	138	17	in	in	ADP
faba-265	138	18	their	their	PRON
faba-265	138	19	market	market	NOUN
faba-265	138	20	value	value	NOUN
faba-265	138	21	,	,	PUNCT
faba-265	138	22	but	but	CCONJ
faba-265	138	23	at	at	ADP
faba-265	138	24	lower	low	ADJ
faba-265	138	25	rates	rate	NOUN
faba-265	138	26	than	than	ADP
faba-265	138	27	bitcoin	bitcoin	ADJ
faba-265	138	28	and	and	CCONJ
faba-265	138	29	ethereum	ethereum	NOUN
faba-265	138	30	.	.	PUNCT
faba-265	139	1	in	in	ADP
faba-265	139	2	general	general	ADJ
faba-265	139	3	,	,	PUNCT
faba-265	139	4	the	the	DET
faba-265	139	5	cryptocurrency	cryptocurrency	NOUN
faba-265	139	6	market	market	NOUN
faba-265	139	7	witnessed	witness	VERB
faba-265	139	8	a	a	DET
faba-265	139	9	remarkable	remarkable	ADJ
faba-265	139	10	growth	growth	NOUN
faba-265	139	11	in	in	ADP
faba-265	139	12	total	total	ADJ
faba-265	139	13	market	market	NOUN
faba-265	139	14	value	value	NOUN
faba-265	139	15	during	during	ADP
faba-265	139	16	2023	2023	NUM
faba-265	139	17	,	,	PUNCT
faba-265	139	18	with	with	ADP
faba-265	139	19	bitcoin	bitcoin	NOUN
faba-265	139	20	and	and	CCONJ
faba-265	139	21	ethereum	ethereum	NOUN
faba-265	139	22	dominating	dominate	VERB
faba-265	139	23	the	the	DET
faba-265	139	24	sector	sector	NOUN
faba-265	139	25	.	.	PUNCT
faba-265	140	1	the	the	DET
faba-265	140	2	analysis	analysis	NOUN
faba-265	140	3	of	of	ADP
faba-265	140	4	these	these	DET
faba-265	140	5	fluctuations	fluctuation	NOUN
faba-265	140	6	is	be	AUX
faba-265	140	7	linked	link	VERB
faba-265	140	8	to	to	ADP
faba-265	140	9	several	several	ADJ
faba-265	140	10	reasons	reason	NOUN
faba-265	140	11	,	,	PUNCT
faba-265	140	12	including	include	VERB
faba-265	140	13	the	the	DET
faba-265	140	14	occurrence	occurrence	NOUN
faba-265	140	15	of	of	ADP
faba-265	140	16	many	many	ADJ
faba-265	140	17	fraud	fraud	NOUN
faba-265	140	18	operations	operation	NOUN
faba-265	140	19	through	through	ADP
faba-265	140	20	cryptocurrencies	cryptocurrencie	NOUN
faba-265	140	21	,	,	PUNCT
faba-265	140	22	which	which	PRON
faba-265	140	23	led	lead	VERB
faba-265	140	24	to	to	ADP
faba-265	140	25	tarnishing	tarnish	VERB
faba-265	140	26	their	their	PRON
faba-265	140	27	reputation	reputation	NOUN
faba-265	140	28	.	.	PUNCT
faba-265	141	1	moreover	moreover	ADV
faba-265	141	2	,	,	PUNCT
faba-265	141	3	the	the	DET
faba-265	141	4	occurrence	occurrence	NOUN
faba-265	141	5	of	of	ADP
faba-265	141	6	more	more	ADJ
faba-265	141	7	than	than	ADP
faba-265	141	8	one	one	NUM
faba-265	141	9	hacking	hack	VERB
faba-265	141	10	operation	operation	NOUN
faba-265	141	11	on	on	ADP
faba-265	141	12	cryptocurrency	cryptocurrency	NOUN
faba-265	141	13	platforms	platform	NOUN
faba-265	141	14	.	.	PUNCT
faba-265	142	1	the	the	DET
faba-265	142	2	declaration	declaration	NOUN
faba-265	142	3	of	of	ADP
faba-265	142	4	bankruptcy	bankruptcy	NOUN
faba-265	142	5	by	by	ADP
faba-265	142	6	some	some	DET
faba-265	142	7	platforms	platform	NOUN
faba-265	142	8	,	,	PUNCT
faba-265	142	9	the	the	DET
faba-265	142	10	most	most	ADV
faba-265	142	11	famous	famous	ADJ
faba-265	142	12	of	of	ADP
faba-265	142	13	which	which	PRON
faba-265	142	14	was	be	AUX
faba-265	142	15	the	the	DET
faba-265	142	16	largest	large	ADJ
faba-265	142	17	platform	platform	NOUN
faba-265	142	18	,	,	PUNCT
faba-265	142	19	ftx	ftx	PROPN
faba-265	142	20	,	,	PUNCT
faba-265	142	21	which	which	PRON
faba-265	142	22	was	be	AUX
faba-265	142	23	declared	declare	VERB
faba-265	142	24	bankrupt	bankrupt	ADJ
faba-265	142	25	.	.	PUNCT
faba-265	143	1	furthermore	furthermore	ADV
faba-265	143	2	,	,	PUNCT
faba-265	143	3	the	the	DET
faba-265	143	4	exit	exit	NOUN
faba-265	143	5	of	of	ADP
faba-265	143	6	cryptocurrency	cryptocurrency	NOUN
faba-265	143	7	platforms	platform	NOUN
faba-265	143	8	and	and	CCONJ
faba-265	143	9	their	their	PRON
faba-265	143	10	cessation	cessation	NOUN
faba-265	143	11	in	in	ADP
faba-265	143	12	some	some	DET
faba-265	143	13	major	major	ADJ
faba-265	143	14	countries	country	NOUN
faba-265	143	15	due	due	ADJ
faba-265	143	16	to	to	ADP
faba-265	143	17	tightening	tighten	VERB
faba-265	143	18	restrictions	restriction	NOUN
faba-265	143	19	and	and	CCONJ
faba-265	143	20	their	their	PRON
faba-265	143	21	move	move	NOUN
faba-265	143	22	to	to	ADP
faba-265	143	23	other	other	ADJ
faba-265	143	24	less	less	ADV
faba-265	143	25	powerful	powerful	ADJ
faba-265	143	26	markets	market	NOUN
faba-265	143	27	.	.	PUNCT
faba-265	144	1	the	the	DET
faba-265	144	2	rules	rule	NOUN
faba-265	144	3	and	and	CCONJ
faba-265	144	4	laws	law	NOUN
faba-265	144	5	began	begin	VERB
faba-265	144	6	to	to	PART
faba-265	144	7	be	be	AUX
faba-265	144	8	tightened	tighten	VERB
faba-265	144	9	more	more	ADV
faba-265	144	10	in	in	ADP
faba-265	144	11	some	some	DET
faba-265	144	12	countries	country	NOUN
faba-265	144	13	,	,	PUNCT
faba-265	144	14	perhaps	perhaps	ADV
faba-265	144	15	the	the	DET
faba-265	144	16	most	most	ADV
faba-265	144	17	prominent	prominent	ADJ
faba-265	144	18	of	of	ADP
faba-265	144	19	which	which	PRON
faba-265	144	20	is	be	AUX
faba-265	144	21	the	the	DET
faba-265	144	22	united	united	PROPN
faba-265	144	23	states	states	PROPN
faba-265	144	24	of	of	ADP
faba-265	144	25	america	america	PROPN
faba-265	144	26	,	,	PUNCT
faba-265	144	27	which	which	PRON
faba-265	144	28	was	be	AUX
faba-265	144	29	the	the	DET
faba-265	144	30	opposite	opposite	NOUN
faba-265	144	31	of	of	ADP
faba-265	144	32	the	the	DET
faba-265	144	33	year	year	NOUN
faba-265	144	34	2022	2022	NUM
faba-265	144	35	.	.	PUNCT
faba-265	145	1	some	some	DET
faba-265	145	2	political	political	ADJ
faba-265	145	3	unrest	unrest	NOUN
faba-265	145	4	and	and	CCONJ
faba-265	145	5	geopolitical	geopolitical	ADJ
faba-265	145	6	factors	factor	NOUN
faba-265	145	7	around	around	ADP
faba-265	145	8	the	the	DET
faba-265	145	9	world	world	NOUN
faba-265	145	10	also	also	ADV
faba-265	145	11	boosted	boost	VERB
faba-265	145	12	the	the	DET
faba-265	145	13	rise	rise	NOUN
faba-265	145	14	in	in	ADP
faba-265	145	15	the	the	DET
faba-265	145	16	price	price	NOUN
faba-265	145	17	of	of	ADP
faba-265	145	18	bitcoin	bitcoin	NOUN
faba-265	145	19	in	in	ADP
faba-265	145	20	particular	particular	ADJ
faba-265	145	21	,	,	PUNCT
faba-265	145	22	which	which	PRON
faba-265	145	23	recorded	record	VERB
faba-265	145	24	record	record	NOUN
faba-265	145	25	increases	increase	NOUN
faba-265	145	26	exceeding	exceed	VERB
faba-265	145	27	100	100	NUM
faba-265	145	28	percent	percent	NOUN
faba-265	145	29	(	(	PUNCT
faba-265	145	30	but	but	CCONJ
faba-265	145	31	it	it	PRON
faba-265	145	32	has	have	AUX
faba-265	145	33	not	not	PART
faba-265	145	34	reached	reach	VERB
faba-265	145	35	peak	peak	NOUN
faba-265	145	36	levels	level	NOUN
faba-265	145	37	yet	yet	ADV
faba-265	145	38	)	)	PUNCT
faba-265	145	39	,	,	PUNCT
faba-265	145	40	which	which	PRON
faba-265	145	41	analysts	analyst	NOUN
faba-265	145	42	attributed	attribute	VERB
faba-265	145	43	to	to	ADP
faba-265	145	44	technical	technical	ADJ
faba-265	145	45	and	and	CCONJ
faba-265	145	46	economic	economic	ADJ
faba-265	145	47	effects	effect	NOUN
faba-265	145	48	,	,	PUNCT
faba-265	145	49	in	in	ADP
faba-265	145	50	addition	addition	NOUN
faba-265	145	51	to	to	ADP
faba-265	145	52	the	the	DET
faba-265	145	53	impact	impact	NOUN
faba-265	145	54	of	of	ADP
faba-265	145	55	recent	recent	ADJ
faba-265	145	56	geopolitical	geopolitical	ADJ
faba-265	145	57	tensions	tension	NOUN
faba-265	145	58	(	(	PUNCT
faba-265	145	59	the	the	DET
faba-265	145	60	russian	russian	ADJ
faba-265	145	61	-	-	PUNCT
faba-265	145	62	ukrainian	ukrainian	ADJ
faba-265	145	63	war	war	NOUN
faba-265	145	64	and	and	CCONJ
faba-265	145	65	the	the	DET
faba-265	145	66	war	war	NOUN
faba-265	145	67	on	on	ADP
faba-265	145	68	gaza	gaza	PROPN
faba-265	145	69	)	)	PUNCT
faba-265	145	70	,	,	PUNCT
faba-265	145	71	so	so	SCONJ
faba-265	145	72	that	that	SCONJ
faba-265	145	73	its	its	PRON
faba-265	145	74	price	price	NOUN
faba-265	145	75	exceeded	exceed	VERB
faba-265	145	76	forty	forty	NUM
faba-265	145	77	thousand	thousand	NUM
faba-265	145	78	dollars	dollar	NOUN
faba-265	145	79	.	.	PUNCT
faba-265	146	1	in	in	ADP
faba-265	146	2	2024	2024	NUM
faba-265	146	3	,	,	PUNCT
faba-265	146	4	cryptocurrency	cryptocurrency	NOUN
faba-265	146	5	markets	market	NOUN
faba-265	146	6	are	be	AUX
faba-265	146	7	witnessing	witness	VERB
faba-265	146	8	a	a	DET
faba-265	146	9	noticeable	noticeable	ADJ
faba-265	146	10	decline	decline	NOUN
faba-265	146	11	during	during	ADP
faba-265	146	12	today	today	NOUN
faba-265	146	13	's	's	PART
faba-265	146	14	trading	trading	NOUN
faba-265	146	15	,	,	PUNCT
faba-265	146	16	with	with	ADP
faba-265	146	17	the	the	DET
faba-265	146	18	prices	price	NOUN
faba-265	146	19	of	of	ADP
faba-265	146	20	many	many	ADJ
faba-265	146	21	major	major	ADJ
faba-265	146	22	digital	digital	ADJ
faba-265	146	23	currencies	currency	NOUN
faba-265	146	24	declining	decline	VERB
faba-265	146	25	.	.	PUNCT
faba-265	147	1	bitcoin	bitcoin	NOUN
faba-265	147	2	,	,	PUNCT
faba-265	147	3	the	the	DET
faba-265	147	4	largest	large	ADJ
faba-265	147	5	cryptocurrency	cryptocurrency	NOUN
faba-265	147	6	by	by	ADP
faba-265	147	7	market	market	NOUN
faba-265	147	8	value	value	NOUN
faba-265	147	9	,	,	PUNCT
faba-265	147	10	recorded	record	VERB
faba-265	147	11	a	a	DET
faba-265	147	12	0.83	0.83	NUM
faba-265	147	13	%	%	NOUN
faba-265	147	14	decline	decline	NOUN
faba-265	147	15	to	to	PART
faba-265	147	16	reach	reach	VERB
faba-265	147	17	$	$	SYM
faba-265	147	18	64.8	64.8	NUM
faba-265	147	19	thousand	thousand	NUM
faba-265	147	20	,	,	PUNCT
faba-265	147	21	after	after	ADP
faba-265	147	22	approaching	approach	VERB
faba-265	147	23	the	the	DET
faba-265	147	24	$	$	SYM
faba-265	147	25	70,000	70,000	NUM
faba-265	147	26	barrier	barrier	NOUN
faba-265	147	27	in	in	ADP
faba-265	147	28	the	the	DET
faba-265	147	29	past	past	ADJ
faba-265	147	30	weeks	week	NOUN
faba-265	147	31	.	.	PUNCT
faba-265	148	1	ethereum	ethereum	NOUN
faba-265	148	2	was	be	AUX
faba-265	148	3	not	not	PART
faba-265	148	4	immune	immune	ADJ
faba-265	148	5	to	to	ADP
faba-265	148	6	these	these	DET
faba-265	148	7	declines	decline	NOUN
faba-265	148	8	,	,	PUNCT
faba-265	148	9	as	as	SCONJ
faba-265	148	10	it	it	PRON
faba-265	148	11	fell	fall	VERB
faba-265	148	12	by	by	ADP
faba-265	148	13	0.80	0.80	NUM
faba-265	148	14	%	%	NOUN
faba-265	148	15	to	to	PART
faba-265	148	16	reach	reach	VERB
faba-265	148	17	$	$	SYM
faba-265	148	18	3,514	3,514	NUM
faba-265	148	19	,	,	PUNCT
faba-265	148	20	and	and	CCONJ
faba-265	148	21	other	other	ADJ
faba-265	148	22	currencies	currency	NOUN
faba-265	148	23	such	such	ADJ
faba-265	148	24	as	as	ADP
faba-265	148	25	tether	tether	NOUN
faba-265	148	26	,	,	PUNCT
faba-265	148	27	bnb	bnb	NOUN
faba-265	148	28	,	,	PUNCT
faba-265	148	29	and	and	CCONJ
faba-265	148	30	solana	solana	PROPN
faba-265	148	31	also	also	ADV
faba-265	148	32	declined	decline	VERB
faba-265	148	33	by	by	ADP
faba-265	148	34	varying	vary	VERB
faba-265	148	35	percentages	percentage	NOUN
faba-265	148	36	,	,	PUNCT
faba-265	148	37	as	as	SCONJ
faba-265	148	38	these	these	DET
faba-265	148	39	currencies	currency	NOUN
faba-265	148	40	fell	fall	VERB
faba-265	148	41	by	by	ADP
faba-265	148	42	0.04	0.04	NUM
faba-265	148	43	%	%	NOUN
faba-265	148	44	,	,	PUNCT
faba-265	148	45	0.49	0.49	NUM
faba-265	148	46	%	%	NOUN
faba-265	148	47	,	,	PUNCT
faba-265	148	48	and	and	CCONJ
faba-265	148	49	0.68	0.68	NUM
faba-265	148	50	%	%	NOUN
faba-265	148	51	respectively	respectively	ADV
faba-265	148	52	,	,	PUNCT
faba-265	148	53	reflecting	reflect	VERB
faba-265	148	54	a	a	DET
faba-265	148	55	general	general	ADJ
faba-265	148	56	downward	downward	ADJ
faba-265	148	57	trend	trend	NOUN
faba-265	148	58	in	in	ADP
faba-265	148	59	the	the	DET
faba-265	148	60	market	market	NOUN
faba-265	148	61	until	until	ADP
faba-265	148	62	august	august	PROPN
faba-265	148	63	.	.	PUNCT
faba-265	149	1	broadly	broadly	ADV
faba-265	149	2	,	,	PUNCT
faba-265	149	3	the	the	DET
faba-265	149	4	period	period	NOUN
faba-265	149	5	from	from	ADP
faba-265	149	6	2021	2021	NUM
faba-265	149	7	to	to	ADP
faba-265	149	8	2024	2024	NUM
faba-265	149	9	has	have	AUX
faba-265	149	10	been	be	AUX
faba-265	149	11	marked	mark	VERB
faba-265	149	12	by	by	ADP
faba-265	149	13	extreme	extreme	ADJ
faba-265	149	14	volatility	volatility	NOUN
faba-265	149	15	and	and	CCONJ
faba-265	149	16	varying	vary	VERB
faba-265	149	17	returns	return	NOUN
faba-265	149	18	in	in	ADP
faba-265	149	19	the	the	DET
faba-265	149	20	cryptocurrency	cryptocurrency	NOUN
faba-265	149	21	market	market	NOUN
faba-265	149	22	.	.	PUNCT
faba-265	150	1	understanding	understand	VERB
faba-265	150	2	these	these	DET
faba-265	150	3	dynamics	dynamic	NOUN
faba-265	150	4	is	be	AUX
faba-265	150	5	crucial	crucial	ADJ
faba-265	150	6	for	for	ADP
faba-265	150	7	effective	effective	ADJ
faba-265	150	8	portfolio	portfolio	NOUN
faba-265	150	9	management	management	NOUN
faba-265	150	10	and	and	CCONJ
faba-265	150	11	optimization	optimization	NOUN
faba-265	150	12	strategies	strategy	NOUN
faba-265	150	13	.	.	PUNCT
faba-265	151	1	investors	investor	NOUN
faba-265	151	2	should	should	AUX
faba-265	151	3	continuously	continuously	ADV
faba-265	151	4	monitor	monitor	VERB
faba-265	151	5	market	market	NOUN
faba-265	151	6	conditions	condition	NOUN
faba-265	151	7	and	and	CCONJ
faba-265	151	8	adjust	adjust	VERB
faba-265	151	9	their	their	PRON
faba-265	151	10	strategies	strategy	NOUN
faba-265	151	11	accordingly	accordingly	ADV
faba-265	151	12	.	.	PUNCT
faba-265	152	1	application	application	NOUN
faba-265	152	2	of	of	ADP
faba-265	152	3	the	the	DET
faba-265	152	4	mpt	mpt	NOUN
faba-265	152	5	model	model	NOUN
faba-265	152	6	before	before	ADP
faba-265	152	7	applying	apply	VERB
faba-265	152	8	the	the	DET
faba-265	152	9	mean	mean	ADJ
faba-265	152	10	-	-	PUNCT
faba-265	152	11	variance	variance	NOUN
faba-265	152	12	model	model	NOUN
faba-265	152	13	and	and	CCONJ
faba-265	152	14	finding	find	VERB
faba-265	152	15	the	the	DET
faba-265	152	16	optimal	optimal	ADJ
faba-265	152	17	portfolio	portfolio	NOUN
faba-265	152	18	weights	weight	VERB
faba-265	152	19	as	as	ADV
faba-265	152	20	well	well	ADV
faba-265	152	21	as	as	ADP
faba-265	152	22	the	the	DET
faba-265	152	23	return	return	NOUN
faba-265	152	24	and	and	CCONJ
faba-265	152	25	risk	risk	NOUN
faba-265	152	26	of	of	ADP
faba-265	152	27	the	the	DET
faba-265	152	28	investment	investment	NOUN
faba-265	152	29	portfolio	portfolio	NOUN
faba-265	152	30	,	,	PUNCT
faba-265	152	31	we	we	PRON
faba-265	152	32	calculated	calculate	VERB
faba-265	152	33	the	the	DET
faba-265	152	34	model	model	NOUN
faba-265	152	35	inputs	input	NOUN
faba-265	152	36	for	for	SCONJ
faba-265	152	37	the	the	DET
faba-265	152	38	cryptocurrency	cryptocurrency	NOUN
faba-265	152	39	prices	price	NOUN
faba-265	152	40	to	to	PART
faba-265	152	41	be	be	AUX
faba-265	152	42	invested	invest	VERB
faba-265	152	43	in	in	ADP
faba-265	152	44	,	,	PUNCT
faba-265	152	45	including	include	VERB
faba-265	152	46	calculating	calculate	VERB
faba-265	152	47	the	the	DET
faba-265	152	48	returns	return	NOUN
faba-265	152	49	and	and	CCONJ
faba-265	152	50	standard	standard	ADJ
faba-265	152	51	deviation	deviation	NOUN
faba-265	152	52	and	and	CCONJ
faba-265	152	53	extracting	extract	VERB
faba-265	152	54	the	the	DET
faba-265	152	55	variancecovariance	variancecovariance	NOUN
faba-265	152	56	matrix	matrix	NOUN
faba-265	152	57	that	that	PRON
faba-265	152	58	gives	give	VERB
faba-265	152	59	us	we	PRON
faba-265	152	60	an	an	DET
faba-265	152	61	idea	idea	NOUN
faba-265	152	62	of	of	ADP
faba-265	152	63	the	the	DET
faba-265	152	64	effectiveness	effectiveness	NOUN
faba-265	152	65	of	of	ADP
faba-265	152	66	diversification	diversification	NOUN
faba-265	152	67	in	in	ADP
faba-265	152	68	maximizing	maximize	VERB
faba-265	152	69	the	the	DET
faba-265	152	70	objective	objective	ADJ
faba-265	152	71	function	function	NOUN
faba-265	152	72	as	as	SCONJ
faba-265	152	73	shown	show	VERB
faba-265	152	74	in	in	ADP
faba-265	152	75	the	the	DET
faba-265	152	76	tables	table	NOUN
faba-265	152	77	below	below	ADV
faba-265	152	78	:	:	PUNCT
faba-265	152	79	o	o	NOUN
faba-265	152	80	download	download	NOUN
faba-265	152	81	study	study	NOUN
faba-265	152	82	data	datum	NOUN
faba-265	152	83	using	use	VERB
faba-265	152	84	jupyter	jupyter	ADJ
faba-265	152	85	notebook	notebook	NOUN
faba-265	152	86	:	:	PUNCT
faba-265	152	87	using	use	VERB
faba-265	152	88	yfinance	yfinance	NOUN
faba-265	152	89	in	in	ADP
faba-265	152	90	jupyter	jupyter	ADJ
faba-265	152	91	notebook	notebook	NOUN
faba-265	152	92	,	,	PUNCT
faba-265	152	93	you	you	PRON
faba-265	152	94	can	can	AUX
faba-265	152	95	easily	easily	ADV
faba-265	152	96	download	download	VERB
faba-265	152	97	financial	financial	ADJ
faba-265	152	98	data	datum	NOUN
faba-265	152	99	from	from	ADP
faba-265	152	100	yahoo	yahoo	PROPN
faba-265	152	101	finance	finance	NOUN
faba-265	152	102	for	for	ADP
faba-265	152	103	analysis	analysis	NOUN
faba-265	152	104	.	.	PUNCT
faba-265	153	1	this	this	DET
faba-265	153	2	approach	approach	NOUN
faba-265	153	3	is	be	AUX
faba-265	153	4	particularly	particularly	ADV
faba-265	153	5	useful	useful	ADJ
faba-265	153	6	for	for	ADP
faba-265	153	7	portfolio	portfolio	NOUN
faba-265	153	8	optimization	optimization	NOUN
faba-265	153	9	studies	study	NOUN
faba-265	153	10	,	,	PUNCT
faba-265	153	11	where	where	SCONJ
faba-265	153	12	you	you	PRON
faba-265	153	13	need	need	VERB
faba-265	153	14	historical	historical	ADJ
faba-265	153	15	price	price	NOUN
faba-265	153	16	data	datum	NOUN
faba-265	153	17	,	,	PUNCT
faba-265	153	18	returns	return	NOUN
faba-265	153	19	,	,	PUNCT
faba-265	153	20	and	and	CCONJ
faba-265	153	21	other	other	ADJ
faba-265	153	22	financial	financial	ADJ
faba-265	153	23	metrics	metric	NOUN
faba-265	153	24	.	.	PUNCT
faba-265	154	1	by	by	ADP
faba-265	154	2	automating	automate	VERB
faba-265	154	3	the	the	DET
faba-265	154	4	data	datum	NOUN
faba-265	154	5	download	download	NOUN
faba-265	154	6	process	process	NOUN
faba-265	154	7	and	and	CCONJ
faba-265	154	8	organizing	organize	VERB
faba-265	154	9	your	your	PRON
faba-265	154	10	data	datum	NOUN
faba-265	154	11	efficiently	efficiently	ADV
faba-265	154	12	,	,	PUNCT
faba-265	154	13	you	you	PRON
faba-265	154	14	can	can	AUX
faba-265	154	15	streamline	streamline	VERB
faba-265	154	16	your	your	PRON
faba-265	154	17	analysis	analysis	NOUN
faba-265	154	18	workflow	workflow	NOUN
faba-265	154	19	:	:	PUNCT
faba-265	154	20	habib	habib	PROPN
faba-265	154	21	zouaoui	zouaoui	PROPN
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faba-265	154	25	nadjat	nadjat	NOUN
faba-265	154	26	naas	naas	PROPN
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faba-265	154	29	,	,	PUNCT
faba-265	154	30	accounting	accounting	NOUN
faba-265	154	31	and	and	CCONJ
faba-265	154	32	business	business	NOUN
faba-265	154	33	analysis	analysis	NOUN
faba-265	154	34	,	,	PUNCT
faba-265	154	35	volume	volume	NOUN
faba-265	154	36	7	7	NUM
faba-265	154	37	,	,	PUNCT
faba-265	154	38	issue	issue	NOUN
faba-265	154	39	1	1	NUM
faba-265	154	40	,	,	PUNCT
faba-265	154	41	2025	2025	NUM
faba-265	154	42	90	90	NUM
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faba-265	154	45	libraries	library	NOUN
faba-265	154	46	import	import	VERB
faba-265	154	47	math	math	NOUN
faba-265	154	48	importnumpy	importnumpy	NOUN
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faba-265	154	50	np	np	NUM
faba-265	154	51	import	import	NOUN
faba-265	154	52	pandas	panda	NOUN
faba-265	154	53	as	as	ADP
faba-265	154	54	pd	pd	PROPN
faba-265	154	55	importtensorflow	importtensorflow	NOUN
faba-265	154	56	as	as	SCONJ
faba-265	154	57	tf	tf	PROPN
faba-265	154	58	fromtensorflow	fromtensorflow	PROPN
faba-265	154	59	import	import	PROPN
faba-265	154	60	keras	keras	PROPN
faba-265	154	61	fromkeras.models	fromkeras.models	PROPN
faba-265	154	62	import	import	NOUN
faba-265	154	63	sequential	sequential	ADJ
faba-265	154	64	fromkeras.layers	fromkeras.layer	NOUN
faba-265	154	65	import	import	VERB
faba-265	154	66	dense	dense	ADJ
faba-265	154	67	fromkeras.layers	fromkeras.layer	NOUN
faba-265	154	68	import	import	VERB
faba-265	154	69	lstm	lstm	NOUN
faba-265	154	70	importmatplotlib	importmatplotlib	NOUN
faba-265	154	71	as	as	SCONJ
faba-265	154	72	mpl	mpl	PROPN
faba-265	154	73	importmatplotlib.pyplot	importmatplotlib.pyplot	ADV
faba-265	154	74	as	as	SCONJ
faba-265	154	75	plt	plt	NOUN
faba-265	154	76	importseaborn	importseaborn	ADJ
faba-265	154	77	as	as	ADP
faba-265	154	78	sns	sns	PROPN
faba-265	154	79	importplotly.express	importplotly.express	PROPN
faba-265	154	80	as	as	ADP
faba-265	154	81	px	px	NOUN
faba-265	154	82	importplotly.graph_objects	importplotly.graph_object	NOUN
faba-265	154	83	as	as	SCONJ
faba-265	154	84	go	go	VERB
faba-265	154	85	import	import	NOUN
faba-265	154	86	plotly.io	plotly.io	NOUN
faba-265	154	87	as	as	ADP
faba-265	154	88	pio	pio	PROPN
faba-265	154	89	importrandom	importrandom	PROPN
faba-265	154	90	importos	importo	VERB
faba-265	154	91	importyfinance	importyfinance	NOUN
faba-265	154	92	as	as	ADP
faba-265	154	93	yf	yf	NUM
faba-265	154	94	importdatetime	importdatetime	PROPN
faba-265	154	95	data	datum	NOUN
faba-265	154	96	=	=	SYM
faba-265	154	97	yf.download(dji_stocks	yf.download(dji_stock	NOUN
faba-265	154	98	,	,	PUNCT
faba-265	154	99	start	start	VERB
faba-265	154	100	=	=	SYM
faba-265	154	101	start_date	start_date	PROPN
faba-265	154	102	,	,	PUNCT
faba-265	154	103	end	end	NOUN
faba-265	154	104	=	=	NOUN
faba-265	154	105	end_date	end_date	NOUN
faba-265	154	106	)	)	PUNCT
faba-265	154	107	stocks_df	stocks_df	NOUN
faba-265	154	108	=	=	SYM
faba-265	154	109	data['close	data['close	NOUN
faba-265	154	110	'	'	PUNCT
faba-265	154	111	]	]	PUNCT
faba-265	155	1	[	[	X
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faba-265	155	23	100%%	100%%	NUM
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faba-265	155	47	25	25	NUM
faba-265	155	48	of	of	ADP
faba-265	155	49	25	25	NUM
faba-265	155	50	completed	complete	VERB
faba-265	155	51	source	source	NOUN
faba-265	155	52	:	:	PUNCT
faba-265	155	53	based	base	VERB
faba-265	155	54	on	on	ADP
faba-265	155	55	python	python	PROPN
faba-265	155	56	code	code	NOUN
faba-265	155	57	github	github	NOUN
faba-265	155	58	/	/	SYM
faba-265	155	59	https://github.com	https://github.com	NUM
faba-265	155	60	/	/	SYM
faba-265	155	61	dimasthoriq	dimasthoriq	NOUN
faba-265	155	62	/	/	SYM
faba-265	155	63	dl	dl	NOUN
faba-265	155	64	-	-	PUNCT
faba-265	155	65	portfoliooptimization	portfoliooptimization	NOUN
faba-265	155	66	/	/	SYM
faba-265	155	67	blob	blob	NOUN
faba-265	155	68	/	/	SYM
faba-265	155	69	main	main	ADJ
faba-265	155	70	/	/	SYM
faba-265	155	71	experiment.ipynb	experiment.ipynb	NOUN
faba-265	155	72	o	o	NOUN
faba-265	155	73	heatmap	heatmap	NOUN
faba-265	155	74	correlation	correlation	NOUN
faba-265	155	75	matrix	matrix	NOUN
faba-265	155	76	a	a	DET
faba-265	155	77	heatmap	heatmap	NOUN
faba-265	155	78	of	of	ADP
faba-265	155	79	the	the	DET
faba-265	155	80	correlation	correlation	NOUN
faba-265	155	81	matrix	matrix	NOUN
faba-265	155	82	(	(	PUNCT
faba-265	155	83	appendix	appendix	NOUN
faba-265	155	84	1	1	NUM
faba-265	155	85	)	)	PUNCT
faba-265	155	86	is	be	AUX
faba-265	155	87	a	a	DET
faba-265	155	88	valuable	valuable	ADJ
faba-265	155	89	tool	tool	NOUN
faba-265	155	90	for	for	ADP
faba-265	155	91	portfolio	portfolio	NOUN
faba-265	155	92	optimization	optimization	NOUN
faba-265	155	93	.	.	PUNCT
faba-265	156	1	it	it	PRON
faba-265	156	2	helps	help	VERB
faba-265	156	3	investors	investor	NOUN
faba-265	156	4	identify	identify	VERB
faba-265	156	5	diversification	diversification	NOUN
faba-265	156	6	opportunities	opportunity	NOUN
faba-265	156	7	,	,	PUNCT
faba-265	156	8	manage	manage	VERB
faba-265	156	9	risk	risk	NOUN
faba-265	156	10	,	,	PUNCT
faba-265	156	11	and	and	CCONJ
faba-265	156	12	make	make	VERB
faba-265	156	13	informed	informed	ADJ
faba-265	156	14	decisions	decision	NOUN
faba-265	156	15	about	about	ADP
faba-265	156	16	asset	asset	NOUN
faba-265	156	17	allocation	allocation	NOUN
faba-265	156	18	.	.	PUNCT
faba-265	157	1	by	by	ADP
faba-265	157	2	combining	combine	VERB
faba-265	157	3	this	this	DET
faba-265	157	4	visualization	visualization	NOUN
faba-265	157	5	with	with	ADP
faba-265	157	6	tools	tool	NOUN
faba-265	157	7	like	like	ADP
faba-265	157	8	modern	modern	ADJ
faba-265	157	9	portfolio	portfolio	NOUN
faba-265	157	10	theory	theory	NOUN
faba-265	157	11	(	(	PUNCT
faba-265	157	12	mpt	mpt	PROPN
faba-265	157	13	)	)	PUNCT
faba-265	157	14	or	or	CCONJ
faba-265	157	15	deep	deep	ADJ
faba-265	157	16	learning	learning	NOUN
faba-265	157	17	(	(	PUNCT
faba-265	157	18	dl	dl	PROPN
faba-265	157	19	)	)	PUNCT
faba-265	157	20	,	,	PUNCT
faba-265	157	21	you	you	PRON
faba-265	157	22	can	can	AUX
faba-265	157	23	build	build	VERB
faba-265	157	24	robust	robust	ADJ
faba-265	157	25	and	and	CCONJ
faba-265	157	26	efficient	efficient	ADJ
faba-265	157	27	portfolios	portfolio	NOUN
faba-265	157	28	(	(	PUNCT
faba-265	157	29	figure	figure	NOUN
faba-265	157	30	6	6	NUM
faba-265	157	31	)	)	PUNCT
faba-265	157	32	.	.	PUNCT
faba-265	158	1	fig	fig	NOUN
faba-265	158	2	=	=	PUNCT
faba-265	158	3	px.imshow(returns_df.iloc[:,0:25].corr	px.imshow(returns_df.iloc[:,0:25].corr	PROPN
faba-265	158	4	(	(	PUNCT
faba-265	158	5	)	)	PUNCT
faba-265	158	6	,	,	PUNCT
faba-265	158	7	text_auto	text_auto	NOUN
faba-265	158	8	=	=	SYM
faba-265	158	9	true	true	ADJ
faba-265	158	10	,	,	PUNCT
faba-265	158	11	aspect="auto",title='correlation	aspect="auto",title='correlation	PROPN
faba-265	158	12	heatmap	heatmap	NOUN
faba-265	158	13	'	'	PUNCT
faba-265	158	14	)	)	PUNCT
faba-265	158	15	fig.write_image("correlation_heatmap.png	fig.write_image("correlation_heatmap.png	PROPN
faba-265	158	16	"	"	PUNCT
faba-265	158	17	)	)	PUNCT
faba-265	158	18	fig.write_html("correlation_heatmap.html	fig.write_html("correlation_heatmap.html	X
faba-265	158	19	"	"	PUNCT
faba-265	158	20	)	)	PUNCT
faba-265	158	21	fig.show	fig.show	X
faba-265	158	22	(	(	PUNCT
faba-265	158	23	)	)	PUNCT
faba-265	158	24	the	the	DET
faba-265	158	25	table	table	NOUN
faba-265	158	26	below	below	ADP
faba-265	158	27	summarizes	summarize	NOUN
faba-265	158	28	the	the	DET
faba-265	158	29	statistical	statistical	ADJ
faba-265	158	30	characteristics	characteristic	NOUN
faba-265	158	31	of	of	ADP
faba-265	158	32	the	the	DET
faba-265	158	33	mpt	mpt	NOUN
faba-265	158	34	framework	framework	NOUN
faba-265	158	35	allows	allow	VERB
faba-265	158	36	for	for	ADP
faba-265	158	37	effective	effective	ADJ
faba-265	158	38	risk	risk	NOUN
faba-265	158	39	-	-	PUNCT
faba-265	158	40	return	return	NOUN
faba-265	158	41	trade	trade	NOUN
faba-265	158	42	-	-	PUNCT
faba-265	158	43	offs	off	NOUN
faba-265	158	44	,	,	PUNCT
faba-265	158	45	enabling	enable	VERB
faba-265	158	46	investors	investor	NOUN
faba-265	158	47	to	to	PART
faba-265	158	48	construct	construct	VERB
faba-265	158	49	optimized	optimize	VERB
faba-265	158	50	portfolios	portfolio	NOUN
faba-265	158	51	tailored	tailor	VERB
faba-265	158	52	to	to	ADP
faba-265	158	53	their	their	PRON
faba-265	158	54	investment	investment	NOUN
faba-265	158	55	goals	goal	NOUN
faba-265	158	56	.	.	PUNCT
faba-265	159	1	understanding	understand	VERB
faba-265	159	2	these	these	DET
faba-265	159	3	metrics	metric	NOUN
faba-265	159	4	is	be	AUX
faba-265	159	5	crucial	crucial	ADJ
faba-265	159	6	for	for	ADP
faba-265	159	7	effective	effective	ADJ
faba-265	159	8	portfolio	portfolio	NOUN
faba-265	159	9	management	management	NOUN
faba-265	159	10	and	and	CCONJ
faba-265	159	11	decision	decision	NOUN
faba-265	159	12	-	-	PUNCT
faba-265	159	13	making	making	NOUN
faba-265	159	14	.	.	PUNCT
faba-265	160	1	table	table	NOUN
faba-265	160	2	3	3	NUM
faba-265	160	3	.	.	PUNCT
faba-265	161	1	characteristics	characteristic	NOUN
faba-265	161	2	of	of	ADP
faba-265	161	3	statistics	statistic	NOUN
faba-265	161	4	for	for	ADP
faba-265	161	5	mpt	mpt	PROPN
faba-265	161	6	optimization	optimization	NOUN
faba-265	161	7	stocks	stock	NOUN
faba-265	161	8	p	p	NOUN
faba-265	161	9	-	-	PUNCT
faba-265	161	10	weights	weight	NOUN
faba-265	161	11	(	(	PUNCT
faba-265	161	12	cvar	cvar	NOUN
faba-265	161	13	)	)	PUNCT
faba-265	161	14	p	p	NOUN
faba-265	161	15	-	-	PUNCT
faba-265	161	16	weights	weight	NOUN
faba-265	161	17	(	(	PUNCT
faba-265	161	18	sortino	sortino	NOUN
faba-265	161	19	)	)	PUNCT
faba-265	161	20	p	p	NOUN
faba-265	161	21	-	-	PUNCT
faba-265	161	22	weights	weight	NOUN
faba-265	161	23	(	(	PUNCT
faba-265	161	24	variance	variance	NOUN
faba-265	161	25	)	)	PUNCT
faba-265	161	26	p	p	NOUN
faba-265	161	27	-	-	PUNCT
faba-265	161	28	weights	weight	NOUN
faba-265	161	29	(	(	PUNCT
faba-265	161	30	sharpe	sharpe	PROPN
faba-265	161	31	)	)	PUNCT
faba-265	161	32	ada	ada	PROPN
faba-265	161	33	-	-	PUNCT
faba-265	161	34	usd	usd	PROPN
faba-265	161	35	0	0	NUM
faba-265	161	36	0	0	NUM
faba-265	161	37	0	0	NUM
faba-265	161	38	0	0	NUM
faba-265	161	39	bnb	bnb	NOUN
faba-265	161	40	-	-	PUNCT
faba-265	161	41	usd	usd	NOUN
faba-265	161	42	0	0	NUM
faba-265	161	43	0	0	NUM
faba-265	161	44	0	0	NUM
faba-265	161	45	0	0	NUM
faba-265	161	46	btc	btc	VERB
faba-265	161	47	-	-	PUNCT
faba-265	161	48	usd	usd	NOUN
faba-265	161	49	0	0	NUM
faba-265	161	50	0	0	NUM
faba-265	161	51	0	0	SYM
faba-265	161	52	0	0	NUM
faba-265	161	53	dai	dai	PROPN
faba-265	161	54	-	-	PUNCT
faba-265	161	55	usd	usd	NOUN
faba-265	161	56	0	0	NUM
faba-265	161	57	0	0	NUM
faba-265	161	58	0	0	NUM
faba-265	161	59	0	0	NUM
faba-265	161	60	doge	doge	ADJ
faba-265	161	61	-	-	PUNCT
faba-265	161	62	usd	usd	NOUN
faba-265	161	63	0	0	NUM
faba-265	161	64	0	0	NUM
faba-265	161	65	0	0	NUM
faba-265	161	66	0	0	NUM
faba-265	161	67	eth	eth	NOUN
faba-265	161	68	-	-	PUNCT
faba-265	161	69	usd	usd	NOUN
faba-265	161	70	0	0	NUM
faba-265	161	71	0	0	NUM
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faba-265	161	73	0	0	NUM
faba-265	161	74	link	link	NOUN
faba-265	161	75	-	-	PUNCT
faba-265	161	76	usd	usd	NOUN
faba-265	161	77	0	0	NUM
faba-265	161	78	0	0	NUM
faba-265	161	79	24.09	24.09	NUM
faba-265	161	80	4.21	4.21	NUM
faba-265	161	81	ltc	ltc	NOUN
faba-265	161	82	-	-	PUNCT
faba-265	161	83	usd	usd	NOUN
faba-265	161	84	0	0	NUM
faba-265	161	85	0	0	NUM
faba-265	161	86	0	0	NUM
faba-265	161	87	0	0	NUM
faba-265	162	1	usdt	usdt	NOUN
faba-265	162	2	-	-	PUNCT
faba-265	162	3	usd	usd	NOUN
faba-265	162	4	0	0	NUM
faba-265	162	5	0	0	NUM
faba-265	162	6	0	0	NUM
faba-265	162	7	0	0	NUM
faba-265	162	8	xrp	xrp	PROPN
faba-265	162	9	-	-	PUNCT
faba-265	162	10	usd	usd	PROPN
faba-265	162	11	0	0	NUM
faba-265	162	12	0	0	NUM
faba-265	162	13	0	0	NUM
faba-265	162	14	0	0	NUM
faba-265	162	15	xlm	xlm	NUM
faba-265	162	16	-	-	PUNCT
faba-265	162	17	usd	usd	NOUN
faba-265	162	18	0	0	NUM
faba-265	162	19	0.67	0.67	NUM
faba-265	162	20	0.08	0.08	NUM
faba-265	162	21	40.03	40.03	NUM
faba-265	162	22	bch	bch	NOUN
faba-265	162	23	-	-	PUNCT
faba-265	162	24	usd	usd	NOUN
faba-265	162	25	0	0	NUM
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faba-265	162	27	0	0	NUM
faba-265	162	28	0	0	NUM
faba-265	162	29	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	ADJ
faba-265	162	30	habib	habib	PROPN
faba-265	162	31	zouaoui	zouaoui	PROPN
faba-265	162	32	,	,	PUNCT
faba-265	162	33	meryem	meryem	NOUN
faba-265	162	34	-	-	PUNCT
faba-265	162	35	nadjat	nadjat	NOUN
faba-265	162	36	naas	naas	PROPN
faba-265	162	37	/	/	SYM
faba-265	162	38	finance	finance	NOUN
faba-265	162	39	,	,	PUNCT
faba-265	162	40	accounting	accounting	NOUN
faba-265	162	41	and	and	CCONJ
faba-265	162	42	business	business	NOUN
faba-265	162	43	analysis	analysis	NOUN
faba-265	162	44	,	,	PUNCT
faba-265	162	45	volume	volume	NOUN
faba-265	162	46	7	7	NUM
faba-265	162	47	,	,	PUNCT
faba-265	162	48	issue	issue	NOUN
faba-265	162	49	1	1	NUM
faba-265	162	50	,	,	PUNCT
faba-265	162	51	2025	2025	NUM
faba-265	162	52	91	91	NUM
faba-265	162	53	stocks	stock	NOUN
faba-265	162	54	p	p	NOUN
faba-265	162	55	-	-	PUNCT
faba-265	162	56	weights	weight	NOUN
faba-265	162	57	(	(	PUNCT
faba-265	162	58	cvar	cvar	NOUN
faba-265	162	59	)	)	PUNCT
faba-265	162	60	p	p	NOUN
faba-265	162	61	-	-	PUNCT
faba-265	162	62	weights	weight	NOUN
faba-265	162	63	(	(	PUNCT
faba-265	162	64	sortino	sortino	NOUN
faba-265	162	65	)	)	PUNCT
faba-265	162	66	p	p	NOUN
faba-265	162	67	-	-	PUNCT
faba-265	162	68	weights	weight	NOUN
faba-265	162	69	(	(	PUNCT
faba-265	162	70	variance	variance	NOUN
faba-265	162	71	)	)	PUNCT
faba-265	162	72	p	p	NOUN
faba-265	162	73	-	-	PUNCT
faba-265	162	74	weights	weight	NOUN
faba-265	162	75	(	(	PUNCT
faba-265	162	76	sharpe	sharpe	NOUN
faba-265	162	77	)	)	PUNCT
faba-265	162	78	weth	weth	NOUN
faba-265	162	79	-	-	PUNCT
faba-265	162	80	usd	usd	NOUN
faba-265	162	81	0	0	NUM
faba-265	162	82	0	0	NUM
faba-265	162	83	0	0	NUM
faba-265	162	84	0	0	NUM
faba-265	162	85	wbtc	wbtc	VERB
faba-265	162	86	-	-	PUNCT
faba-265	162	87	usd	usd	NOUN
faba-265	162	88	0	0	NUM
faba-265	162	89	0	0	NUM
faba-265	162	90	0	0	NUM
faba-265	162	91	0	0	NUM
faba-265	162	92	avax	avax	NOUN
faba-265	162	93	-	-	PUNCT
faba-265	162	94	usd	usd	NOUN
faba-265	162	95	0	0	NUM
faba-265	162	96	0.2	0.2	NUM
faba-265	162	97	0	0	NUM
faba-265	162	98	16.39	16.39	NUM
faba-265	162	99	shib	shib	NOUN
faba-265	162	100	-	-	PUNCT
faba-265	162	101	usd	usd	NOUN
faba-265	162	102	0	0	NUM
faba-265	162	103	0	0	NUM
faba-265	162	104	0	0	NUM
faba-265	162	105	22.9	22.9	NUM
faba-265	162	106	dot	dot	NOUN
faba-265	162	107	-	-	PUNCT
faba-265	162	108	usd	usd	NOUN
faba-265	162	109	0	0	NUM
faba-265	162	110	0	0	NUM
faba-265	162	111	0	0	NUM
faba-265	162	112	0	0	NUM
faba-265	163	1	leo	leo	PROPN
faba-265	163	2	-	-	PUNCT
faba-265	163	3	usd	usd	PROPN
faba-265	163	4	15.38	15.38	NUM
faba-265	163	5	0.86	0.86	NUM
faba-265	163	6	25	25	NUM
faba-265	163	7	4.78	4.78	NUM
faba-265	163	8	sol	sol	NOUN
faba-265	163	9	-	-	PUNCT
faba-265	163	10	usd	usd	NOUN
faba-265	163	11	43.79	43.79	NUM
faba-265	163	12	0	0	NUM
faba-265	163	13	25.4	25.4	NUM
faba-265	163	14	4.69	4.69	NUM
faba-265	163	15	usdc	usdc	ADJ
faba-265	163	16	-	-	PUNCT
faba-265	163	17	usd	usd	NOUN
faba-265	163	18	0.24	0.24	NUM
faba-265	163	19	0.2	0.2	NUM
faba-265	163	20	0	0	NUM
faba-265	163	21	0	0	NUM
faba-265	163	22	steth	steth	PROPN
faba-265	163	23	-	-	PUNCT
faba-265	163	24	usd	usd	NOUN
faba-265	163	25	40.58	40.58	NUM
faba-265	163	26	98.07	98.07	NUM
faba-265	163	27	25.42	25.42	NUM
faba-265	163	28	7.01	7.01	NUM
faba-265	163	29	aave	aave	NOUN
faba-265	163	30	-	-	PUNCT
faba-265	163	31	usd	usd	NOUN
faba-265	163	32	0	0	NUM
faba-265	163	33	0	0	NUM
faba-265	163	34	0	0	NUM
faba-265	163	35	0	0	NUM
faba-265	163	36	vusdt	vusdt	NOUN
faba-265	163	37	-	-	PUNCT
faba-265	163	38	usd	usd	NOUN
faba-265	163	39	0	0	NUM
faba-265	163	40	0	0	NUM
faba-265	163	41	0	0	NUM
faba-265	163	42	0	0	NUM
faba-265	163	43	rare11294	rare11294	NOUN
faba-265	163	44	-	-	PUNCT
faba-265	163	45	usd	usd	NOUN
faba-265	163	46	0	0	NUM
faba-265	163	47	0	0	NUM
faba-265	163	48	0	0	NUM
faba-265	163	49	0	0	NUM
faba-265	163	50	vbtc	vbtc	ADJ
faba-265	163	51	-	-	PUNCT
faba-265	163	52	usd	usd	NOUN
faba-265	163	53	0	0	NUM
faba-265	163	54	0	0	NUM
faba-265	163	55	0	0	NUM
faba-265	163	56	0	0	NUM
faba-265	163	57	annualized	annualize	VERB
faba-265	163	58	return	return	NOUN
faba-265	163	59	0.39	0.39	NUM
faba-265	163	60	1.26	1.26	NUM
faba-265	163	61	0.27	0.27	NUM
faba-265	163	62	31.15	31.15	NUM
faba-265	163	63	annualized	annualize	VERB
faba-265	163	64	volatility	volatility	NOUN
faba-265	163	65	0.47	0.47	NUM
faba-265	163	66	0.63	0.63	NUM
faba-265	163	67	0.96	0.96	NUM
faba-265	163	68	39.05	39.05	NUM
faba-265	163	69	skewness	skewness	NOUN
faba-265	163	70	-16.88	-16.88	PROPN
faba-265	163	71	-29.22	-29.22	PROPN
faba-265	164	1	-245.2	-245.2	PROPN
faba-265	164	2	65.63	65.63	NUM
faba-265	164	3	kurtosis	kurtosis	VERB
faba-265	164	4	2905.05	2905.05	NUM
faba-265	164	5	3066.74	3066.74	NUM
faba-265	164	6	20780.99	20780.99	NUM
faba-265	164	7	678.6	678.6	NUM
faba-265	164	8	max	max	PROPN
faba-265	164	9	drawdown	drawdown	NOUN
faba-265	164	10	-0.34	-0.34	AUX
faba-265	164	11	-0.55	-0.55	NUM
faba-265	164	12	-1.19	-1.19	NUM
faba-265	164	13	-59.42	-59.42	PUNCT
faba-265	164	14	count	count	NOUN
faba-265	164	15	data	datum	NOUN
faba-265	164	16	1093.00	1093.00	NUM
faba-265	164	17	1093.00	1093.00	NUM
faba-265	164	18	1093	1093	NUM
faba-265	164	19	1093	1093	NUM
faba-265	164	20	sharpe	sharpe	PROPN
faba-265	164	21	ratio	ratio	PROPN
faba-265	164	22	0,8331	0,8331	NUM
faba-265	164	23	2.0032	2.0032	NUM
faba-265	164	24	0.2781	0.2781	NUM
faba-265	164	25	0.7978	0.7978	NUM
faba-265	164	26	cvar	cvar	NOUN
faba-265	164	27	1.16	1.16	NUM
faba-265	164	28	2.29	2.29	NUM
faba-265	164	29	1.84	1.84	NUM
faba-265	164	30	95.38	95.38	NUM
faba-265	164	31	sortino	sortino	NOUN
faba-265	164	32	ratio	ratio	NOUN
faba-265	164	33	100.42	100.42	NUM
faba-265	164	34	257.00	257.00	NUM
faba-265	164	35	29.22	29.22	NUM
faba-265	164	36	122.77	122.77	NUM
faba-265	164	37	variance	variance	NOUN
faba-265	164	38	0.00	0.00	NUM
faba-265	164	39	0	0	NUM
faba-265	164	40	0.01	0.01	NUM
faba-265	164	41	15.25	15.25	NUM
faba-265	164	42	source	source	NOUN
faba-265	164	43	:	:	PUNCT
faba-265	164	44	based	base	VERB
faba-265	164	45	on	on	ADP
faba-265	164	46	python	python	PROPN
faba-265	164	47	code	code	NOUN
faba-265	164	48	github/	github/	NUM
faba-265	164	49	https://github.com/dimasthoriq/dl-portfolio	https://github.com/dimasthoriq/dl-portfolio	NOUN
faba-265	164	50	optimization	optimization	NOUN
faba-265	164	51	/	/	SYM
faba-265	164	52	blob	blob	NOUN
faba-265	164	53	/	/	SYM
faba-265	164	54	main	main	ADJ
faba-265	164	55	/	/	SYM
faba-265	164	56	experiment.ipynb	experiment.ipynb	NOUN
faba-265	164	57	this	this	DET
faba-265	164	58	study	study	NOUN
faba-265	164	59	investigates	investigate	VERB
faba-265	164	60	the	the	DET
faba-265	164	61	optimal	optimal	ADJ
faba-265	164	62	relative	relative	ADJ
faba-265	164	63	weights	weight	NOUN
faba-265	164	64	derived	derive	VERB
faba-265	164	65	from	from	ADP
faba-265	164	66	the	the	DET
faba-265	164	67	markowitz	markowitz	PROPN
faba-265	164	68	mean	mean	ADJ
faba-265	164	69	-	-	PUNCT
faba-265	164	70	variance	variance	NOUN
faba-265	164	71	model	model	NOUN
faba-265	164	72	,	,	PUNCT
faba-265	164	73	focusing	focus	VERB
faba-265	164	74	on	on	ADP
faba-265	164	75	a	a	DET
faba-265	164	76	comprehensive	comprehensive	ADJ
faba-265	164	77	summary	summary	NOUN
faba-265	164	78	of	of	ADP
faba-265	164	79	statistical	statistical	ADJ
faba-265	164	80	characteristics	characteristic	NOUN
faba-265	164	81	for	for	ADP
faba-265	164	82	each	each	DET
faba-265	164	83	optimal	optimal	ADJ
faba-265	164	84	portfolio	portfolio	NOUN
faba-265	164	85	.	.	PUNCT
faba-265	165	1	we	we	PRON
faba-265	165	2	implemented	implement	VERB
faba-265	165	3	various	various	ADJ
faba-265	165	4	strategies	strategy	NOUN
faba-265	165	5	to	to	PART
faba-265	165	6	enhance	enhance	VERB
faba-265	165	7	the	the	DET
faba-265	165	8	objective	objective	ADJ
faba-265	165	9	function	function	NOUN
faba-265	165	10	,	,	PUNCT
faba-265	165	11	utilizing	utilize	VERB
faba-265	165	12	performance	performance	NOUN
faba-265	165	13	evaluation	evaluation	NOUN
faba-265	165	14	indicators	indicator	NOUN
faba-265	165	15	such	such	ADJ
faba-265	165	16	as	as	ADP
faba-265	165	17	the	the	DET
faba-265	165	18	sharpe	sharpe	PROPN
faba-265	165	19	ratio	ratio	NOUN
faba-265	165	20	,	,	PUNCT
faba-265	165	21	sortino	sortino	ADJ
faba-265	165	22	ratio	ratio	NOUN
faba-265	165	23	,	,	PUNCT
faba-265	165	24	variance	variance	NOUN
faba-265	165	25	,	,	PUNCT
faba-265	165	26	and	and	CCONJ
faba-265	165	27	conditional	conditional	ADJ
faba-265	165	28	value	value	NOUN
faba-265	165	29	at	at	ADP
faba-265	165	30	risk	risk	NOUN
faba-265	165	31	(	(	PUNCT
faba-265	165	32	cvar	cvar	NOUN
faba-265	165	33	)	)	PUNCT
faba-265	165	34	.	.	PUNCT
faba-265	166	1	the	the	DET
faba-265	166	2	analysis	analysis	NOUN
faba-265	166	3	highlights	highlight	VERB
faba-265	166	4	the	the	DET
faba-265	166	5	benefits	benefit	NOUN
faba-265	166	6	of	of	ADP
faba-265	166	7	markowitz	markowitz	PROPN
faba-265	166	8	diversification	diversification	NOUN
faba-265	166	9	in	in	ADP
faba-265	166	10	managing	manage	VERB
faba-265	166	11	risk	risk	NOUN
faba-265	166	12	through	through	ADP
faba-265	166	13	an	an	DET
faba-265	166	14	examination	examination	NOUN
faba-265	166	15	of	of	ADP
faba-265	166	16	the	the	DET
faba-265	166	17	correlation	correlation	NOUN
faba-265	166	18	matrix	matrix	NOUN
faba-265	166	19	between	between	ADP
faba-265	166	20	the	the	DET
faba-265	166	21	returns	return	NOUN
faba-265	166	22	of	of	ADP
faba-265	166	23	the	the	DET
faba-265	166	24	portfolio	portfolio	NOUN
faba-265	166	25	's	's	PART
faba-265	166	26	assets	asset	NOUN
faba-265	166	27	(	(	PUNCT
faba-265	166	28	zaki	zaki	NOUN
faba-265	166	29	2021	2021	NUM
faba-265	166	30	)	)	PUNCT
faba-265	166	31	.	.	PUNCT
faba-265	167	1	furthermore	furthermore	ADV
faba-265	167	2	,	,	PUNCT
faba-265	167	3	we	we	PRON
faba-265	167	4	compare	compare	VERB
faba-265	167	5	the	the	DET
faba-265	167	6	performance	performance	NOUN
faba-265	167	7	of	of	ADP
faba-265	167	8	these	these	DET
faba-265	167	9	traditional	traditional	ADJ
faba-265	167	10	optimization	optimization	NOUN
faba-265	167	11	approaches	approach	VERB
faba-265	167	12	with	with	ADP
faba-265	167	13	those	those	PRON
faba-265	167	14	derived	derive	VERB
faba-265	167	15	from	from	ADP
faba-265	167	16	deep	deep	ADJ
faba-265	167	17	learning	learning	NOUN
faba-265	167	18	algorithms	algorithm	NOUN
faba-265	167	19	(	(	PUNCT
faba-265	167	20	dl	dl	NOUN
faba-265	167	21	)	)	PUNCT
faba-265	167	22	.	.	PUNCT
faba-265	168	1	by	by	ADP
faba-265	168	2	assessing	assess	VERB
faba-265	168	3	the	the	DET
faba-265	168	4	strengths	strength	NOUN
faba-265	168	5	and	and	CCONJ
faba-265	168	6	weaknesses	weakness	NOUN
faba-265	168	7	of	of	ADP
faba-265	168	8	both	both	DET
faba-265	168	9	methodologies	methodology	NOUN
faba-265	168	10	,	,	PUNCT
faba-265	168	11	this	this	DET
faba-265	168	12	research	research	NOUN
faba-265	168	13	aims	aim	VERB
faba-265	168	14	to	to	PART
faba-265	168	15	provide	provide	VERB
faba-265	168	16	insights	insight	NOUN
faba-265	168	17	into	into	ADP
faba-265	168	18	the	the	DET
faba-265	168	19	effectiveness	effectiveness	NOUN
faba-265	168	20	of	of	ADP
faba-265	168	21	deep	deep	ADJ
faba-265	168	22	learning	learning	NOUN
faba-265	168	23	in	in	ADP
faba-265	168	24	enhancing	enhance	VERB
faba-265	168	25	portfolio	portfolio	NOUN
faba-265	168	26	optimization	optimization	NOUN
faba-265	168	27	,	,	PUNCT
faba-265	168	28	ultimately	ultimately	ADV
faba-265	168	29	contributing	contribute	VERB
faba-265	168	30	to	to	ADP
faba-265	168	31	more	more	ADV
faba-265	168	32	robust	robust	ADJ
faba-265	168	33	investment	investment	NOUN
faba-265	168	34	strategies	strategy	NOUN
faba-265	168	35	in	in	ADP
faba-265	168	36	an	an	DET
faba-265	168	37	increasingly	increasingly	ADV
faba-265	168	38	complex	complex	ADJ
faba-265	168	39	financial	financial	ADJ
faba-265	168	40	environment	environment	NOUN
faba-265	168	41	(	(	PUNCT
faba-265	168	42	yifu	yifu	NOUN
faba-265	168	43	et	et	PROPN
faba-265	168	44	al	al	PROPN
faba-265	168	45	.	.	PROPN
faba-265	168	46	2024	2024	NUM
faba-265	168	47	)	)	PUNCT
faba-265	168	48	.	.	PUNCT
faba-265	169	1	application	application	NOUN
faba-265	169	2	of	of	ADP
faba-265	169	3	the	the	DET
faba-265	169	4	deep	deep	ADJ
faba-265	169	5	learning	learning	NOUN
faba-265	169	6	(	(	PUNCT
faba-265	169	7	dl	dl	NOUN
faba-265	169	8	)	)	PUNCT
faba-265	169	9	models	model	NOUN
faba-265	169	10	in	in	ADP
faba-265	169	11	order	order	NOUN
faba-265	169	12	to	to	PART
faba-265	169	13	create	create	VERB
faba-265	169	14	this	this	DET
faba-265	169	15	type	type	NOUN
faba-265	169	16	of	of	ADP
faba-265	169	17	portfolio	portfolio	NOUN
faba-265	169	18	,	,	PUNCT
faba-265	169	19	which	which	PRON
faba-265	169	20	consists	consist	VERB
faba-265	169	21	of	of	ADP
faba-265	169	22	assets	asset	NOUN
faba-265	169	23	with	with	ADP
faba-265	169	24	different	different	ADJ
faba-265	169	25	risk	risk	NOUN
faba-265	169	26	levels	level	NOUN
faba-265	169	27	,	,	PUNCT
faba-265	169	28	a	a	DET
faba-265	169	29	comprehensive	comprehensive	ADJ
faba-265	169	30	analysis	analysis	NOUN
faba-265	169	31	was	be	AUX
faba-265	169	32	conducted	conduct	VERB
faba-265	169	33	.	.	PUNCT
faba-265	170	1	unlike	unlike	ADP
faba-265	170	2	previous	previous	ADJ
faba-265	170	3	portfolios	portfolio	NOUN
faba-265	170	4	that	that	PRON
faba-265	170	5	were	be	AUX
faba-265	170	6	created	create	VERB
faba-265	170	7	based	base	VERB
faba-265	170	8	on	on	ADP
faba-265	170	9	historical	historical	ADJ
faba-265	170	10	data	datum	NOUN
faba-265	170	11	only	only	ADV
faba-265	170	12	,	,	PUNCT
faba-265	170	13	this	this	DET
faba-265	170	14	portfolio	portfolio	NOUN
faba-265	170	15	will	will	AUX
faba-265	170	16	leverage	leverage	VERB
faba-265	170	17	the	the	DET
faba-265	170	18	predictions	prediction	NOUN
faba-265	170	19	of	of	ADP
faba-265	170	20	the	the	DET
faba-265	170	21	lstm	lstm	PROPN
faba-265	170	22	model	model	NOUN
faba-265	170	23	to	to	PART
faba-265	170	24	predict	predict	VERB
faba-265	170	25	the	the	DET
faba-265	170	26	optimal	optimal	ADJ
faba-265	170	27	combination	combination	NOUN
faba-265	170	28	of	of	ADP
faba-265	170	29	assets	asset	NOUN
faba-265	170	30	that	that	PRON
faba-265	170	31	will	will	AUX
faba-265	170	32	generate	generate	VERB
faba-265	170	33	the	the	DET
faba-265	170	34	highest	high	ADJ
faba-265	170	35	returns	return	NOUN
faba-265	170	36	over	over	ADP
faba-265	170	37	5	5	NUM
faba-265	170	38	,	,	PUNCT
faba-265	170	39	10	10	NUM
faba-265	170	40	,	,	PUNCT
faba-265	170	41	15	15	NUM
faba-265	170	42	,	,	PUNCT
faba-265	170	43	and	and	CCONJ
faba-265	170	44	30	30	NUM
faba-265	170	45	days	day	NOUN
faba-265	170	46	.	.	PUNCT
faba-265	171	1	the	the	DET
faba-265	171	2	process	process	NOUN
faba-265	171	3	followed	follow	VERB
faba-265	171	4	to	to	PART
faba-265	171	5	build	build	VERB
faba-265	171	6	this	this	DET
faba-265	171	7	diversified	diversified	ADJ
faba-265	171	8	portfolio	portfolio	NOUN
faba-265	171	9	involves	involve	VERB
faba-265	171	10	a	a	DET
faba-265	171	11	series	series	NOUN
faba-265	171	12	of	of	ADP
faba-265	171	13	sequential	sequential	ADJ
faba-265	171	14	steps	step	NOUN
faba-265	171	15	.	.	PUNCT
faba-265	172	1	the	the	DET
faba-265	172	2	figure	figure	NOUN
faba-265	172	3	below	below	ADP
faba-265	172	4	illustrates	illustrate	NOUN
faba-265	172	5	and	and	CCONJ
faba-265	172	6	summarizes	summarize	VERB
faba-265	172	7	the	the	DET
faba-265	172	8	general	general	ADJ
faba-265	172	9	approach	approach	NOUN
faba-265	172	10	taken	take	VERB
faba-265	172	11	to	to	PART
faba-265	172	12	create	create	VERB
faba-265	172	13	the	the	DET
faba-265	172	14	model	model	NOUN
faba-265	172	15	(	(	PUNCT
faba-265	172	16	li	li	PROPN
faba-265	172	17	and	and	CCONJ
faba-265	172	18	liu	liu	PROPN
faba-265	172	19	2023	2023	NUM
faba-265	172	20	)	)	PUNCT
faba-265	172	21	.	.	PUNCT
faba-265	173	1	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	PROPN
faba-265	173	2	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	https://www.google.com/url?sa=t&source=web&rct=j&opi=89978449&url=https://www.researchgate.net/figure/descriptive-statistics-for-cryptocurrencies-portfolios_tbl3_343861353&ved=2ahukewi93iejtcglaxxf2wihhzfuhouqfnoecbwqaq&usg=aovvaw20zz_uzngmqfukcawmj1zw	PROPN
faba-265	173	3	habib	habib	PROPN
faba-265	173	4	zouaoui	zouaoui	PROPN
faba-265	173	5	,	,	PUNCT
faba-265	173	6	meryem	meryem	NOUN
faba-265	173	7	-	-	PUNCT
faba-265	173	8	nadjat	nadjat	NOUN
faba-265	173	9	naas	naas	PROPN
faba-265	173	10	/	/	SYM
faba-265	173	11	finance	finance	NOUN
faba-265	173	12	,	,	PUNCT
faba-265	173	13	accounting	accounting	NOUN
faba-265	173	14	and	and	CCONJ
faba-265	173	15	business	business	NOUN
faba-265	173	16	analysis	analysis	NOUN
faba-265	173	17	,	,	PUNCT
faba-265	173	18	volume	volume	NOUN
faba-265	173	19	7	7	NUM
faba-265	173	20	,	,	PUNCT
faba-265	173	21	issue	issue	NOUN
faba-265	173	22	1	1	NUM
faba-265	173	23	,	,	PUNCT
faba-265	173	24	2025	2025	NUM
faba-265	173	25	92	92	NUM
faba-265	173	26	figure	figure	NOUN
faba-265	173	27	3	3	NUM
faba-265	173	28	.	.	PUNCT
faba-265	173	29	portfolio	portfolio	NOUN
faba-265	173	30	construction	construction	NOUN
faba-265	173	31	process	process	NOUN
faba-265	173	32	therefore	therefore	ADV
faba-265	173	33	,	,	PUNCT
faba-265	173	34	splitting	split	VERB
faba-265	173	35	the	the	DET
faba-265	173	36	data	datum	NOUN
faba-265	173	37	into	into	ADP
faba-265	173	38	training	training	NOUN
faba-265	173	39	and	and	CCONJ
faba-265	173	40	testing	testing	NOUN
faba-265	173	41	or	or	CCONJ
faba-265	173	42	splitting	split	VERB
faba-265	173	43	it	it	PRON
faba-265	173	44	into	into	ADP
faba-265	173	45	training	training	NOUN
faba-265	173	46	,	,	PUNCT
faba-265	173	47	validation	validation	NOUN
faba-265	173	48	,	,	PUNCT
faba-265	173	49	and	and	CCONJ
faba-265	173	50	testing	testing	NOUN
faba-265	173	51	is	be	AUX
faba-265	173	52	common	common	ADJ
faba-265	173	53	in	in	ADP
faba-265	173	54	supervised	supervised	ADJ
faba-265	173	55	machine	machine	NOUN
faba-265	173	56	learning	learning	NOUN
faba-265	173	57	projects	project	NOUN
faba-265	173	58	(	(	PUNCT
faba-265	173	59	espiga	espiga	ADJ
faba-265	173	60	-	-	PUNCT
faba-265	173	61	fernández	fernández	PROPN
faba-265	173	62	et	et	PROPN
faba-265	173	63	al	al	PROPN
faba-265	173	64	.	.	PROPN
faba-265	173	65	2025	2025	NUM
faba-265	173	66	)	)	PUNCT
faba-265	174	1	the	the	DET
faba-265	174	2	training	training	NOUN
faba-265	174	3	set	set	NOUN
faba-265	174	4	is	be	AUX
faba-265	174	5	used	use	VERB
faba-265	174	6	to	to	PART
faba-265	174	7	fit	fit	VERB
faba-265	174	8	and	and	CCONJ
faba-265	174	9	train	train	VERB
faba-265	174	10	the	the	DET
faba-265	174	11	model	model	NOUN
faba-265	174	12	while	while	SCONJ
faba-265	174	13	the	the	DET
faba-265	174	14	test	test	NOUN
faba-265	174	15	set	set	NOUN
faba-265	174	16	is	be	AUX
faba-265	174	17	used	use	VERB
faba-265	174	18	to	to	PART
faba-265	174	19	evaluate	evaluate	VERB
faba-265	174	20	the	the	DET
faba-265	174	21	trained	train	VERB
faba-265	174	22	model	model	NOUN
faba-265	174	23	to	to	PART
faba-265	174	24	get	get	VERB
faba-265	174	25	a	a	DET
faba-265	174	26	better	well	ADJ
faba-265	174	27	idea	idea	NOUN
faba-265	174	28	of	of	ADP
faba-265	174	29	how	how	SCONJ
faba-265	174	30	well	well	ADV
faba-265	174	31	the	the	DET
faba-265	174	32	model	model	NOUN
faba-265	174	33	will	will	AUX
faba-265	174	34	perform	perform	VERB
faba-265	174	35	on	on	ADP
faba-265	174	36	new	new	ADJ
faba-265	174	37	data	datum	NOUN
faba-265	174	38	and	and	CCONJ
faba-265	174	39	how	how	SCONJ
faba-265	174	40	it	it	PRON
faba-265	174	41	will	will	AUX
faba-265	174	42	behave	behave	VERB
faba-265	174	43	in	in	ADP
faba-265	174	44	a	a	DET
faba-265	174	45	production	production	NOUN
faba-265	174	46	environment	environment	NOUN
faba-265	174	47	.	.	PUNCT
faba-265	175	1	therefore	therefore	ADV
faba-265	175	2	,	,	PUNCT
faba-265	175	3	the	the	DET
faba-265	175	4	test	test	NOUN
faba-265	175	5	data	datum	NOUN
faba-265	175	6	should	should	AUX
faba-265	175	7	be	be	AUX
faba-265	175	8	similar	similar	ADJ
faba-265	175	9	to	to	ADP
faba-265	175	10	what	what	PRON
faba-265	175	11	is	be	AUX
faba-265	175	12	expected	expect	VERB
faba-265	175	13	to	to	PART
faba-265	175	14	be	be	AUX
faba-265	175	15	seen	see	VERB
faba-265	175	16	in	in	ADP
faba-265	175	17	a	a	DET
faba-265	175	18	production	production	NOUN
faba-265	175	19	environment	environment	NOUN
faba-265	175	20	.	.	PUNCT
faba-265	176	1	another	another	DET
faba-265	176	2	common	common	ADJ
faba-265	176	3	splitting	splitting	NOUN
faba-265	176	4	technique	technique	NOUN
faba-265	176	5	is	be	AUX
faba-265	176	6	splitting	split	VERB
faba-265	176	7	the	the	DET
faba-265	176	8	data	datum	NOUN
faba-265	176	9	into	into	ADP
faba-265	176	10	three	three	NUM
faba-265	176	11	datasets	dataset	NOUN
faba-265	176	12	:	:	PUNCT
faba-265	176	13	training	training	NOUN
faba-265	176	14	,	,	PUNCT
faba-265	176	15	validation	validation	NOUN
faba-265	176	16	,	,	PUNCT
faba-265	176	17	and	and	CCONJ
faba-265	176	18	testing	testing	NOUN
faba-265	176	19	.	.	PUNCT
faba-265	177	1	the	the	DET
faba-265	177	2	validation	validation	NOUN
faba-265	177	3	dataset	dataset	NOUN
faba-265	177	4	will	will	AUX
faba-265	177	5	be	be	AUX
faba-265	177	6	used	use	VERB
faba-265	177	7	to	to	PART
faba-265	177	8	choose	choose	VERB
faba-265	177	9	the	the	DET
faba-265	177	10	best	good	ADJ
faba-265	177	11	hyperparameters	hyperparameter	NOUN
faba-265	177	12	for	for	ADP
faba-265	177	13	each	each	DET
faba-265	177	14	model	model	NOUN
faba-265	177	15	(	(	PUNCT
faba-265	177	16	ketkar	ketkar	PROPN
faba-265	177	17	et	et	PROPN
faba-265	177	18	al	al	PROPN
faba-265	177	19	.	.	PROPN
faba-265	177	20	2021	2021	NUM
faba-265	177	21	):	):	PUNCT
faba-265	177	22	n	n	PROPN
faba-265	177	23	=	=	SYM
faba-265	177	24	len(returns_df	len(returns_df	PROPN
faba-265	177	25	)	)	PUNCT
faba-265	177	26	#	#	NOUN
faba-265	177	27	split	split	VERB
faba-265	177	28	the	the	DET
faba-265	177	29	data	datum	NOUN
faba-265	177	30	train_data	train_data	NOUN
faba-265	177	31	=	=	SYM
faba-265	177	32	returns_df[:int(0.8*len(returns_df	returns_df[:int(0.8*len(returns_df	PROPN
faba-265	177	33	)	)	PUNCT
faba-265	177	34	)	)	PUNCT
faba-265	177	35	]	]	PUNCT
faba-265	177	36	val_data	val_data	NOUN
faba-265	177	37	=	=	SYM
faba-265	177	38	returns_df[int(0.8*len(returns_df)):int(0.2*len(returns_df	returns_df[int(0.8*len(returns_df)):int(0.2*len(returns_df	PROPN
faba-265	177	39	)	)	PUNCT
faba-265	177	40	)	)	PUNCT
faba-265	177	41	]	]	PUNCT
faba-265	178	1	test_data	test_data	X
faba-265	178	2	=	=	PUNCT
faba-265	178	3	returns_df[int(0.2*len(returns_df	returns_df[int(0.2*len(returns_df	NOUN
faba-265	178	4	)	)	PUNCT
faba-265	178	5	):	):	PUNCT
faba-265	178	6	]	]	PUNCT
faba-265	178	7	train_data.shape	train_data.shape	NOUN
faba-265	178	8	,	,	PUNCT
faba-265	178	9	val_data.shape	val_data.shape	NOUN
faba-265	178	10	,	,	PUNCT
faba-265	178	11	test_data.shape	test_data.shape	NOUN
faba-265	178	12	(	(	PUNCT
faba-265	178	13	(	(	PUNCT
faba-265	178	14	874	874	NUM
faba-265	178	15	,	,	PUNCT
faba-265	178	16	25	25	NUM
faba-265	178	17	)	)	PUNCT
faba-265	178	18	,	,	PUNCT
faba-265	178	19	(	(	PUNCT
faba-265	178	20	0	0	NUM
faba-265	178	21	,	,	PUNCT
faba-265	178	22	25	25	NUM
faba-265	178	23	)	)	PUNCT
faba-265	178	24	,	,	PUNCT
faba-265	178	25	(	(	PUNCT
faba-265	178	26	875	875	NUM
faba-265	178	27	,	,	PUNCT
faba-265	178	28	25	25	NUM
faba-265	178	29	)	)	PUNCT
faba-265	178	30	)	)	PUNCT
faba-265	179	1	we	we	PRON
faba-265	179	2	proceeded	proceed	VERB
faba-265	179	3	to	to	PART
faba-265	179	4	build	build	VERB
faba-265	179	5	an	an	DET
faba-265	179	6	lstm	lstm	ADJ
faba-265	179	7	model	model	NOUN
faba-265	179	8	algorithm	algorithm	NOUN
faba-265	179	9	.	.	PUNCT
faba-265	180	1	to	to	PART
faba-265	180	2	build	build	VERB
faba-265	180	3	the	the	DET
faba-265	180	4	rnn	rnn	NOUN
faba-265	180	5	to	to	PART
faba-265	180	6	accurately	accurately	ADV
faba-265	180	7	predict	predict	VERB
faba-265	180	8	the	the	DET
faba-265	180	9	returns	return	NOUN
faba-265	180	10	of	of	ADP
faba-265	180	11	cryptocurrencies	cryptocurrencie	NOUN
faba-265	180	12	and	and	CCONJ
faba-265	180	13	from	from	ADP
faba-265	180	14	there	there	ADV
faba-265	180	15	build	build	VERB
faba-265	180	16	an	an	DET
faba-265	180	17	optimal	optimal	ADJ
faba-265	180	18	portfolio	portfolio	NOUN
faba-265	180	19	based	base	VERB
faba-265	180	20	on	on	ADP
faba-265	180	21	return	return	NOUN
faba-265	180	22	and	and	CCONJ
faba-265	180	23	risk	risk	VERB
faba-265	180	24	and	and	CCONJ
faba-265	180	25	evaluate	evaluate	VERB
faba-265	180	26	its	its	PRON
faba-265	180	27	performance	performance	NOUN
faba-265	180	28	using	use	VERB
faba-265	180	29	the	the	DET
faba-265	180	30	sharpe	sharpe	NOUN
faba-265	180	31	ratio	ratio	NOUN
faba-265	180	32	,	,	PUNCT
faba-265	180	33	some	some	DET
faba-265	180	34	modules	module	NOUN
faba-265	180	35	had	have	VERB
faba-265	180	36	to	to	PART
faba-265	180	37	be	be	AUX
faba-265	180	38	imported	import	VERB
faba-265	180	39	from	from	ADP
faba-265	180	40	keras	keras	PROPN
faba-265	180	41	.	.	PUNCT
faba-265	181	1	after	after	ADP
faba-265	181	2	that	that	PRON
faba-265	181	3	,	,	PUNCT
faba-265	181	4	an	an	DET
faba-265	181	5	lstm	lstm	ADJ
faba-265	181	6	layer	layer	NOUN
faba-265	181	7	and	and	CCONJ
faba-265	181	8	other	other	ADJ
faba-265	181	9	dropout	dropout	NOUN
faba-265	181	10	layers	layer	NOUN
faba-265	181	11	were	be	AUX
faba-265	181	12	added	add	VERB
faba-265	181	13	.	.	PUNCT
faba-265	182	1	regarding	regard	VERB
faba-265	182	2	the	the	DET
faba-265	182	3	lstm	lstm	ADJ
faba-265	182	4	layer	layer	NOUN
faba-265	182	5	,	,	PUNCT
faba-265	182	6	the	the	DET
faba-265	182	7	dimensions	dimension	NOUN
faba-265	182	8	of	of	ADP
faba-265	182	9	the	the	DET
faba-265	182	10	output	output	NOUN
faba-265	182	11	space	space	NOUN
faba-265	182	12	were	be	AUX
faba-265	182	13	set	set	VERB
faba-265	182	14	to	to	ADP
faba-265	182	15	50	50	NUM
faba-265	182	16	units	unit	NOUN
faba-265	182	17	.	.	PUNCT
faba-265	183	1	20	20	NUM
faba-265	183	2	%	%	NOUN
faba-265	183	3	of	of	ADP
faba-265	183	4	the	the	DET
faba-265	183	5	layer	layer	NOUN
faba-265	183	6	was	be	AUX
faba-265	183	7	selected	select	VERB
faba-265	183	8	to	to	PART
faba-265	183	9	be	be	AUX
faba-265	183	10	dropped	drop	VERB
faba-265	183	11	and	and	CCONJ
faba-265	183	12	a	a	DET
faba-265	183	13	dense	dense	ADJ
faba-265	183	14	layer	layer	NOUN
faba-265	183	15	with	with	ADP
faba-265	183	16	a	a	DET
faba-265	183	17	single	single	ADJ
faba-265	183	18	unit	unit	NOUN
faba-265	183	19	output	output	NOUN
faba-265	183	20	was	be	AUX
faba-265	183	21	added	add	VERB
faba-265	183	22	.	.	PUNCT
faba-265	184	1	adam	adam	PROPN
faba-265	184	2	was	be	AUX
faba-265	184	3	chosen	choose	VERB
faba-265	184	4	as	as	ADP
faba-265	184	5	the	the	DET
faba-265	184	6	optimizer	optimizer	NOUN
faba-265	184	7	for	for	ADP
faba-265	184	8	the	the	DET
faba-265	184	9	model	model	NOUN
faba-265	184	10	clustering	cluster	VERB
faba-265	184	11	and	and	CCONJ
faba-265	184	12	the	the	DET
faba-265	184	13	loss	loss	NOUN
faba-265	184	14	was	be	AUX
faba-265	184	15	set	set	VERB
faba-265	184	16	to	to	PART
faba-265	184	17	be	be	AUX
faba-265	184	18	the	the	DET
faba-265	184	19	mean	mean	ADJ
faba-265	184	20	square	square	NOUN
faba-265	184	21	error	error	NOUN
faba-265	184	22	(	(	PUNCT
faba-265	184	23	mse	mse	NOUN
faba-265	184	24	)	)	PUNCT
faba-265	184	25	.	.	PUNCT
faba-265	185	1	after	after	ADP
faba-265	185	2	that	that	PRON
faba-265	185	3	,	,	PUNCT
faba-265	185	4	the	the	DET
faba-265	185	5	model	model	NOUN
faba-265	185	6	was	be	AUX
faba-265	185	7	fit	fit	ADJ
faba-265	185	8	to	to	ADP
faba-265	185	9	100	100	NUM
faba-265	185	10	epochs	epoch	NOUN
faba-265	185	11	,	,	PUNCT
faba-265	185	12	a	a	DET
faba-265	185	13	batch	batch	NOUN
faba-265	185	14	size	size	NOUN
faba-265	185	15	of	of	ADP
faba-265	185	16	32	32	NUM
faba-265	185	17	,	,	PUNCT
faba-265	185	18	a	a	DET
faba-265	185	19	learning	learning	NOUN
faba-265	185	20	rate	rate	NOUN
faba-265	185	21	of	of	ADP
faba-265	185	22	0.001	0.001	NUM
faba-265	185	23	,	,	PUNCT
faba-265	185	24	and	and	CCONJ
faba-265	185	25	a	a	DET
faba-265	185	26	neural	neural	ADJ
faba-265	185	27	network	network	NOUN
faba-265	185	28	of	of	ADP
faba-265	185	29	200	200	NUM
faba-265	185	30	cells	cell	NOUN
faba-265	185	31	(	(	PUNCT
faba-265	185	32	nafia	nafia	ADV
faba-265	185	33	et	et	NOUN
faba-265	185	34	al.2023	al.2023	NOUN
faba-265	185	35	):	):	PUNCT
faba-265	185	36	#	#	SYM
faba-265	185	37	model	model	NOUN
faba-265	185	38	1	1	NUM
faba-265	185	39	(	(	PUNCT
faba-265	185	40	5	5	NUM
faba-265	185	41	-	-	PUNCT
faba-265	185	42	day	day	NOUN
faba-265	185	43	window	window	NOUN
faba-265	185	44	)	)	PUNCT
faba-265	185	45	model1	model1	NOUN
faba-265	186	1	=	=	SYM
faba-265	186	2	tf.keras.models.sequential	tf.keras.models.sequential	ADJ
faba-265	186	3	(	(	PUNCT
faba-265	186	4	[	[	PUNCT
faba-265	186	5	lstm(64	lstm(64	NOUN
faba-265	186	6	,	,	PUNCT
faba-265	186	7	return_sequences	return_sequence	NOUN
faba-265	186	8	=	=	SYM
faba-265	186	9	true	true	ADJ
faba-265	186	10	,	,	PUNCT
faba-265	186	11	input_shape=(5	input_shape=(5	NOUN
faba-265	186	12	,	,	PUNCT
faba-265	186	13	stocks_df.shape[1	stocks_df.shape[1	PROPN
faba-265	186	14	]	]	PUNCT
faba-265	186	15	)	)	PUNCT
faba-265	186	16	)	)	PUNCT
faba-265	186	17	,	,	PUNCT
faba-265	186	18	lstm(32	lstm(32	NOUN
faba-265	186	19	,	,	PUNCT
faba-265	186	20	return_sequences	return_sequence	NOUN
faba-265	186	21	=	=	NOUN
faba-265	186	22	true	true	ADJ
faba-265	186	23	)	)	PUNCT
faba-265	186	24	,	,	PUNCT
faba-265	186	25	dense(units	dense(unit	NOUN
faba-265	186	26	=	=	SYM
faba-265	186	27	stocks_df.shape[1	stocks_df.shape[1	NOUN
faba-265	186	28	]	]	PUNCT
faba-265	186	29	)	)	PUNCT
faba-265	186	30	]	]	PUNCT
faba-265	186	31	)	)	PUNCT
faba-265	186	32	history1	history1	NOUN
faba-265	186	33	=	=	PUNCT
faba-265	186	34	compile_and_fit(model1	compile_and_fit(model1	NOUN
faba-265	186	35	,	,	PUNCT
faba-265	186	36	window1.train_ds	window1.train_ds	ADJ
faba-265	186	37	,	,	PUNCT
faba-265	186	38	window1.val_ds	window1.val_ds	X
faba-265	186	39	)	)	PUNCT
faba-265	186	40	perf_v=	perf_v=	PROPN
faba-265	186	41	}	}	PUNCT
faba-265	186	42	{	{	PUNCT
faba-265	186	43	perf=	perf=	NUM
faba-265	186	44	}	}	PUNCT
faba-265	186	45	{	{	PUNCT
faba-265	186	46	perf_v['5	perf_v['5	PROPN
faba-265	186	47	days	day	NOUN
faba-265	186	48	'	'	PART
faba-265	186	49	]	]	PUNCT
faba-265	187	1	=	=	SYM
faba-265	187	2	model1.evaluate(window1.val_ds	model1.evaluate(window1.val_ds	NOUN
faba-265	187	3	)	)	PUNCT
faba-265	187	4	perf['5	perf['5	PROPN
faba-265	187	5	days	day	NOUN
faba-265	187	6	'	'	PART
faba-265	187	7	]	]	PUNCT
faba-265	188	1	=	=	PUNCT
faba-265	188	2	model1.evaluate(window1.test_ds	model1.evaluate(window1.test_ds	PROPN
faba-265	188	3	,	,	PUNCT
faba-265	188	4	verbose=0	verbose=0	PROPN
faba-265	188	5	)	)	PUNCT
faba-265	188	6	habib	habib	PROPN
faba-265	188	7	zouaoui	zouaoui	PROPN
faba-265	188	8	,	,	PUNCT
faba-265	188	9	meryem	meryem	NOUN
faba-265	188	10	-	-	PUNCT
faba-265	188	11	nadjat	nadjat	NOUN
faba-265	188	12	naas	naas	PROPN
faba-265	188	13	/	/	SYM
faba-265	188	14	finance	finance	NOUN
faba-265	188	15	,	,	PUNCT
faba-265	188	16	accounting	accounting	NOUN
faba-265	188	17	and	and	CCONJ
faba-265	188	18	business	business	NOUN
faba-265	188	19	analysis	analysis	NOUN
faba-265	188	20	,	,	PUNCT
faba-265	188	21	volume	volume	NOUN
faba-265	188	22	7	7	NUM
faba-265	188	23	,	,	PUNCT
faba-265	188	24	issue	issue	NOUN
faba-265	188	25	1	1	NUM
faba-265	188	26	,	,	PUNCT
faba-265	188	27	2025	2025	NUM
faba-265	188	28	93	93	NUM
faba-265	188	29	table	table	NOUN
faba-265	188	30	4.the	4.the	DET
faba-265	188	31	effectiveness	effectiveness	NOUN
faba-265	188	32	of	of	ADP
faba-265	188	33	lstm	lstm	NOUN
faba-265	188	34	models	model	NOUN
faba-265	188	35	for	for	ADP
faba-265	188	36	predicting	predict	VERB
faba-265	188	37	optimal	optimal	ADJ
faba-265	188	38	portfolio	portfolio	NOUN
faba-265	188	39	returns	return	VERB
faba-265	188	40	validation	validation	NOUN
faba-265	188	41	performance	performance	NOUN
faba-265	188	42	test	test	NOUN
faba-265	188	43	performance	performance	NOUN
faba-265	188	44	time	time	NOUN
faba-265	188	45	date	date	PROPN
faba-265	188	46	loss	loss	PROPN
faba-265	188	47	mae	mae	PROPN
faba-265	188	48	loss	loss	PROPN
faba-265	188	49	mae	mae	PROPN
faba-265	188	50	epochs	epoch	NOUN
faba-265	188	51	/	/	SYM
faba-265	188	52	time	time	NOUN
faba-265	188	53	5	5	NUM
faba-265	188	54	days	day	NOUN
faba-265	188	55	0,0016	0,0016	NOUN
faba-265	188	56	0,0230	0,0230	VERB
faba-265	188	57	0,0012	0,0012	NUM
faba-265	188	58	0,0218	0,0218	PROPN
faba-265	188	59	14/14	14/14	NUM
faba-265	188	60	-	-	PUNCT
faba-265	188	61	-1s	-1s	ADJ
faba-265	188	62	29ms	29ms	ADJ
faba-265	188	63	/	/	SYM
faba-265	188	64	step	step	NOUN
faba-265	188	65	10	10	NUM
faba-265	188	66	days	day	NOUN
faba-265	188	67	0,0016	0,0016	NUM
faba-265	188	68	0,0233	0,0233	NOUN
faba-265	188	69	0,0011	0,0011	PUNCT
faba-265	189	1	0,0219	0,0219	PROPN
faba-265	189	2	13/13	13/13	NUM
faba-265	189	3	-	-	PUNCT
faba-265	189	4	-1s	-1s	ADJ
faba-265	189	5	42ms	42ms	ADJ
faba-265	189	6	/	/	SYM
faba-265	189	7	step	step	NOUN
faba-265	189	8	15	15	NUM
faba-265	189	9	days	day	NOUN
faba-265	189	10	0,0017	0,0017	ADP
faba-265	189	11	0,0246	0,0246	NOUN
faba-265	189	12	0,0012	0,0012	NOUN
faba-265	189	13	0,0222	0,0222	VERB
faba-265	189	14	12/12	12/12	NUM
faba-265	189	15	-	-	PUNCT
faba-265	189	16	-2s	-2s	PROPN
faba-265	189	17	110ms	110ms	PROPN
faba-265	189	18	/	/	SYM
faba-265	189	19	step	step	NOUN
faba-265	189	20	30	30	NUM
faba-265	189	21	days	day	NOUN
faba-265	189	22	0,0018	0,0018	NOUN
faba-265	189	23	0,0255	0,0255	PROPN
faba-265	189	24	0,0012	0,0012	NOUN
faba-265	189	25	0,0228	0,0228	PROPN
faba-265	189	26	10/10	10/10	NUM
faba-265	189	27	-	-	PUNCT
faba-265	189	28	-0s	-0s	NUM
faba-265	189	29	4ms	4ms	ADJ
faba-265	189	30	/	/	SYM
faba-265	189	31	step	step	NOUN
faba-265	189	32	source	source	NOUN
faba-265	189	33	:	:	PUNCT
faba-265	189	34	based	base	VERB
faba-265	189	35	on	on	ADP
faba-265	189	36	python	python	PROPN
faba-265	189	37	code	code	NOUN
faba-265	189	38	github/	github/	NUM
faba-265	189	39	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	INTJ
faba-265	189	40	we	we	PRON
faba-265	189	41	noted	note	VERB
faba-265	189	42	from	from	ADP
faba-265	189	43	the	the	DET
faba-265	189	44	outputs	output	NOUN
faba-265	189	45	of	of	ADP
faba-265	189	46	the	the	DET
faba-265	189	47	application	application	NOUN
faba-265	189	48	of	of	ADP
faba-265	189	49	the	the	DET
faba-265	189	50	lstm	lstm	PROPN
faba-265	189	51	model	model	NOUN
faba-265	189	52	to	to	PART
faba-265	189	53	predict	predict	VERB
faba-265	189	54	the	the	DET
faba-265	189	55	returns	return	NOUN
faba-265	189	56	of	of	ADP
faba-265	189	57	the	the	DET
faba-265	189	58	cryptocurrencies	cryptocurrencie	NOUN
faba-265	189	59	that	that	PRON
faba-265	189	60	make	make	VERB
faba-265	189	61	up	up	ADP
faba-265	189	62	the	the	DET
faba-265	189	63	portfolio	portfolio	NOUN
faba-265	189	64	assets	asset	NOUN
faba-265	189	65	,	,	PUNCT
faba-265	189	66	(	(	PUNCT
faba-265	189	67	junhuan	junhuan	NOUN
faba-265	189	68	et	et	PROPN
faba-265	189	69	al	al	PROPN
faba-265	189	70	.	.	PROPN
faba-265	189	71	2024	2024	NUM
faba-265	189	72	)	)	PUNCT
faba-265	189	73	where	where	SCONJ
faba-265	189	74	we	we	PRON
faba-265	189	75	note	note	VERB
faba-265	189	76	the	the	DET
faba-265	189	77	superiority	superiority	NOUN
faba-265	189	78	of	of	ADP
faba-265	189	79	the	the	DET
faba-265	189	80	lstm	lstm	PROPN
faba-265	189	81	model	model	NOUN
faba-265	189	82	in	in	ADP
faba-265	189	83	predicting	predict	VERB
faba-265	189	84	for	for	ADP
faba-265	189	85	5	5	NUM
faba-265	189	86	days	day	NOUN
faba-265	189	87	to	to	ADP
faba-265	189	88	the	the	DET
faba-265	189	89	last	last	ADJ
faba-265	189	90	day	day	NOUN
faba-265	189	91	in	in	ADP
faba-265	189	92	the	the	DET
faba-265	189	93	series	series	NOUN
faba-265	189	94	of	of	ADP
faba-265	189	95	subsequent	subsequent	ADJ
faba-265	189	96	returns	return	NOUN
faba-265	189	97	with	with	ADP
faba-265	189	98	the	the	DET
faba-265	189	99	lowest	low	ADJ
faba-265	189	100	mean	mean	ADJ
faba-265	189	101	square	square	ADJ
faba-265	189	102	error	error	NOUN
faba-265	189	103	rate	rate	NOUN
faba-265	189	104	estimated	estimate	VERB
faba-265	189	105	at	at	ADP
faba-265	189	106	0.0218	0.0218	NUM
faba-265	189	107	for	for	ADP
faba-265	189	108	the	the	DET
faba-265	189	109	test	test	NOUN
faba-265	189	110	(	(	PUNCT
faba-265	189	111	test_loss	test_loss	NOUN
faba-265	189	112	)	)	PUNCT
faba-265	189	113	and	and	CCONJ
faba-265	189	114	0.0230	0.0230	NUM
faba-265	189	115	for	for	ADP
faba-265	189	116	the	the	DET
faba-265	189	117	verification	verification	NOUN
faba-265	189	118	(	(	PUNCT
faba-265	189	119	val_loss	val_loss	ADJ
faba-265	189	120	)	)	PUNCT
faba-265	189	121	.	.	PUNCT
faba-265	190	1	thus	thus	ADV
faba-265	190	2	,	,	PUNCT
faba-265	190	3	the	the	DET
faba-265	190	4	algorithm	algorithm	NOUN
faba-265	190	5	of	of	ADP
faba-265	190	6	this	this	DET
faba-265	190	7	model	model	NOUN
faba-265	190	8	can	can	AUX
faba-265	190	9	be	be	AUX
faba-265	190	10	adopted	adopt	VERB
faba-265	190	11	to	to	PART
faba-265	190	12	estimate	estimate	VERB
faba-265	190	13	the	the	DET
faba-265	190	14	optimal	optimal	ADJ
faba-265	190	15	portfolio	portfolio	NOUN
faba-265	190	16	and	and	CCONJ
faba-265	190	17	extract	extract	VERB
faba-265	190	18	the	the	DET
faba-265	190	19	ratios	ratio	NOUN
faba-265	190	20	for	for	ADP
faba-265	190	21	financial	financial	ADJ
faba-265	190	22	investments	investment	NOUN
faba-265	190	23	in	in	ADP
faba-265	190	24	the	the	DET
faba-265	190	25	cryptocurrency	cryptocurrency	NOUN
faba-265	190	26	assets	asset	NOUN
faba-265	190	27	that	that	PRON
faba-265	190	28	make	make	VERB
faba-265	190	29	up	up	ADP
faba-265	190	30	the	the	DET
faba-265	190	31	investment	investment	NOUN
faba-265	190	32	portfolio	portfolio	NOUN
faba-265	190	33	,	,	PUNCT
faba-265	190	34	and	and	CCONJ
faba-265	190	35	then	then	ADV
faba-265	190	36	compare	compare	VERB
faba-265	190	37	them	they	PRON
faba-265	190	38	to	to	ADP
faba-265	190	39	the	the	DET
faba-265	190	40	space	space	NOUN
faba-265	190	41	of	of	ADP
faba-265	190	42	previous	previous	ADJ
faba-265	190	43	solutions	solution	NOUN
faba-265	190	44	for	for	ADP
faba-265	190	45	the	the	DET
faba-265	190	46	markowitz	markowitz	PROPN
faba-265	190	47	model	model	NOUN
faba-265	190	48	and	and	CCONJ
faba-265	190	49	trying	try	VERB
faba-265	190	50	to	to	PART
faba-265	190	51	compare	compare	VERB
faba-265	190	52	them	they	PRON
faba-265	190	53	based	base	VERB
faba-265	190	54	on	on	ADP
faba-265	190	55	the	the	DET
faba-265	190	56	sharpe	sharpe	PROPN
faba-265	190	57	index	index	NOUN
faba-265	190	58	to	to	PART
faba-265	190	59	evaluate	evaluate	VERB
faba-265	190	60	the	the	DET
faba-265	190	61	quality	quality	NOUN
faba-265	190	62	of	of	ADP
faba-265	190	63	the	the	DET
faba-265	190	64	performance	performance	NOUN
faba-265	190	65	of	of	ADP
faba-265	190	66	the	the	DET
faba-265	190	67	extracted	extract	VERB
faba-265	190	68	portfolio	portfolio	NOUN
faba-265	190	69	(	(	PUNCT
faba-265	190	70	das	das	PROPN
faba-265	190	71	et	et	PROPN
faba-265	190	72	al	al	PROPN
faba-265	190	73	.	.	PROPN
faba-265	190	74	2024	2024	NUM
faba-265	190	75	)	)	PUNCT
faba-265	190	76	.	.	PUNCT
faba-265	191	1	o	o	X
faba-265	192	1	the	the	DET
faba-265	192	2	efficient	efficient	ADJ
faba-265	192	3	frontier	frontier	NOUN
faba-265	192	4	of	of	ADP
faba-265	192	5	cryptocurrency	cryptocurrency	NOUN
faba-265	192	6	optimal	optimal	ADJ
faba-265	192	7	portfolio	portfolio	NOUN
faba-265	192	8	#	#	NOUN
faba-265	192	9	plot	plot	NOUN
faba-265	192	10	efficient	efficient	ADJ
faba-265	192	11	forntier	forntier	NOUN
faba-265	192	12	and	and	CCONJ
faba-265	192	13	our	our	PRON
faba-265	192	14	portfolio	portfolio	NOUN
faba-265	192	15	fig	fig	NOUN
faba-265	192	16	=	=	SYM
faba-265	192	17	go.figure	go.figure	NOUN
faba-265	192	18	(	(	PUNCT
faba-265	192	19	)	)	PUNCT
faba-265	192	20	fig.add_trace(go.scatter(x	fig.add_trace(go.scatter(x	PROPN
faba-265	193	1	=	=	NOUN
faba-265	193	2	portfolio_volatilities	portfolio_volatilitie	NOUN
faba-265	193	3	,	,	PUNCT
faba-265	193	4	y	y	PROPN
faba-265	193	5	=	=	NOUN
faba-265	193	6	portfolio_returns	portfolio_return	NOUN
faba-265	193	7	,	,	PUNCT
faba-265	193	8	mode='markers',marker	mode='markers',marker	X
faba-265	193	9	=	=	SYM
faba-265	193	10	dict(size=5,c	dict(size=5,c	ADJ
faba-265	193	11	olor='blue',opacity=0.5),name='random	olor='blue',opacity=0.5),name='random	NOUN
faba-265	193	12	portfolios	portfolio	NOUN
faba-265	193	13	'	'	PUNCT
faba-265	193	14	)	)	PUNCT
faba-265	193	15	)	)	PUNCT
faba-265	194	1	fig.add_trace(go.scatter(x=[sigma],y=[portfolio_return],mode='markers',marker	fig.add_trace(go.scatter(x=[sigma],y=[portfolio_return],mode='markers',marker	PROPN
faba-265	194	2	=	=	SYM
faba-265	194	3	dict(size=6,color='red',s	dict(size=6,color='red',s	NOUN
faba-265	194	4	ymbol='x'),name='calculated	ymbol='x'),name='calculate	VERB
faba-265	194	5	portfolio	portfolio	NOUN
faba-265	194	6	'	'	PUNCT
faba-265	194	7	)	)	PUNCT
faba-265	194	8	)	)	PUNCT
faba-265	195	1	fig.update_layout(title='efficientfrontier',xaxis_title='risk',yaxis_title='return',showlegend	fig.update_layout(title='efficientfrontier',xaxis_title='risk',yaxis_title='return',showlegend	NOUN
faba-265	195	2	=	=	SYM
faba-265	195	3	true	true	ADJ
faba-265	195	4	,	,	PUNCT
faba-265	195	5	hoverm	hoverm	NOUN
faba-265	195	6	ode='closest	ode='clos	ADJ
faba-265	195	7	'	'	PUNCT
faba-265	195	8	)	)	PUNCT
faba-265	195	9	fig.write_image("efficient_forntier.png	fig.write_image("efficient_forntier.png	PROPN
faba-265	195	10	"	"	PUNCT
faba-265	195	11	)	)	PUNCT
faba-265	195	12	fig.write_html("efficient_forntier.html	fig.write_html("efficient_forntier.html	PROPN
faba-265	195	13	"	"	PUNCT
faba-265	195	14	)	)	PUNCT
faba-265	195	15	fig.show	fig.show	X
faba-265	195	16	(	(	PUNCT
faba-265	195	17	)	)	PUNCT
faba-265	195	18	source	source	NOUN
faba-265	195	19	:	:	PUNCT
faba-265	195	20	based	base	VERB
faba-265	195	21	on	on	ADP
faba-265	195	22	python	python	PROPN
faba-265	195	23	code	code	NOUN
faba-265	195	24	github/	github/	NUM
faba-265	195	25	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	PROPN
faba-265	195	26	figure	figure	NOUN
faba-265	195	27	4	4	NUM
faba-265	195	28	.	.	X
faba-265	195	29	efficient	efficient	ADJ
faba-265	195	30	frontier	frontier	NOUN
faba-265	195	31	results	result	NOUN
faba-265	195	32	and	and	CCONJ
faba-265	195	33	discussion	discussion	NOUN
faba-265	195	34	through	through	ADP
faba-265	195	35	the	the	DET
faba-265	195	36	previous	previous	ADJ
faba-265	195	37	simulation	simulation	NOUN
faba-265	195	38	of	of	ADP
faba-265	195	39	time	time	NOUN
faba-265	195	40	series	series	NOUN
faba-265	195	41	of	of	ADP
faba-265	195	42	cryptocurrency	cryptocurrency	NOUN
faba-265	195	43	returns	return	NOUN
faba-265	195	44	using	use	VERB
faba-265	195	45	one	one	NUM
faba-265	195	46	of	of	ADP
faba-265	195	47	the	the	DET
faba-265	195	48	traditional	traditional	ADJ
faba-265	195	49	behavioral	behavioral	ADJ
faba-265	195	50	finance	finance	NOUN
faba-265	195	51	models	model	NOUN
faba-265	195	52	(	(	PUNCT
faba-265	195	53	markowitz	markowitz	PROPN
faba-265	195	54	model	model	PROPN
faba-265	195	55	)	)	PUNCT
faba-265	195	56	and	and	CCONJ
faba-265	195	57	deep	deep	ADJ
faba-265	195	58	learning	learning	NOUN
faba-265	195	59	models	model	NOUN
faba-265	195	60	using	use	VERB
faba-265	195	61	the	the	DET
faba-265	195	62	lstm	lstm	ADJ
faba-265	195	63	algorithm	algorithm	NOUN
faba-265	195	64	based	base	VERB
faba-265	195	65	on	on	ADP
faba-265	195	66	the	the	DET
faba-265	195	67	sharpe	sharpe	PROPN
faba-265	195	68	index	index	NOUN
faba-265	195	69	in	in	ADP
faba-265	195	70	evaluating	evaluate	VERB
faba-265	195	71	the	the	DET
faba-265	195	72	quality	quality	NOUN
faba-265	195	73	of	of	ADP
faba-265	195	74	the	the	DET
faba-265	195	75	solution	solution	NOUN
faba-265	195	76	(	(	PUNCT
faba-265	195	77	optimal	optimal	ADJ
faba-265	195	78	portfolio	portfolio	NOUN
faba-265	195	79	performance	performance	NOUN
faba-265	195	80	)	)	PUNCT
faba-265	195	81	,	,	PUNCT
faba-265	195	82	(	(	PUNCT
faba-265	195	83	tamuly	tamuly	PROPN
faba-265	195	84	et	et	PROPN
faba-265	195	85	al	al	PROPN
faba-265	195	86	.	.	PUNCT
faba-265	196	1	2024).the	2024).the	PROPN
faba-265	196	2	outputs	output	NOUN
faba-265	196	3	of	of	ADP
faba-265	196	4	the	the	DET
faba-265	196	5	comparative	comparative	ADJ
faba-265	196	6	study	study	NOUN
faba-265	196	7	were	be	AUX
faba-265	196	8	summarized	summarize	VERB
faba-265	196	9	in	in	ADP
faba-265	196	10	the	the	DET
faba-265	196	11	following	follow	VERB
faba-265	196	12	table	table	NOUN
faba-265	196	13	:	:	PUNCT
faba-265	196	14	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	PROPN
faba-265	196	15	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	INTJ
faba-265	197	1	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	INTJ
faba-265	197	2	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	PROPN
faba-265	197	3	habib	habib	PROPN
faba-265	197	4	zouaoui	zouaoui	PROPN
faba-265	197	5	,	,	PUNCT
faba-265	197	6	meryem	meryem	NOUN
faba-265	197	7	-	-	PUNCT
faba-265	197	8	nadjat	nadjat	NOUN
faba-265	197	9	naas	naas	PROPN
faba-265	197	10	/	/	SYM
faba-265	197	11	finance	finance	NOUN
faba-265	197	12	,	,	PUNCT
faba-265	197	13	accounting	accounting	NOUN
faba-265	197	14	and	and	CCONJ
faba-265	197	15	business	business	NOUN
faba-265	197	16	analysis	analysis	NOUN
faba-265	197	17	,	,	PUNCT
faba-265	197	18	volume	volume	NOUN
faba-265	197	19	7	7	NUM
faba-265	197	20	,	,	PUNCT
faba-265	197	21	issue	issue	NOUN
faba-265	197	22	1	1	NUM
faba-265	197	23	,	,	PUNCT
faba-265	197	24	2025	2025	NUM
faba-265	197	25	94	94	NUM
faba-265	197	26	table	table	NOUN
faba-265	197	27	5	5	NUM
faba-265	197	28	.	.	PUNCT
faba-265	198	1	the	the	DET
faba-265	198	2	performance	performance	NOUN
faba-265	198	3	comparison	comparison	NOUN
faba-265	198	4	of	of	ADP
faba-265	198	5	mpt	mpt	NOUN
faba-265	198	6	-	-	PUNCT
faba-265	198	7	lstm	lstm	NOUN
faba-265	198	8	models	model	NOUN
faba-265	198	9	stocks	stock	NOUN
faba-265	198	10	p	p	NOUN
faba-265	198	11	-	-	PUNCT
faba-265	198	12	weights(sharpe	weights(sharpe	PROPN
faba-265	198	13	)	)	PUNCT
faba-265	198	14	p	p	NOUN
faba-265	198	15	-	-	PUNCT
faba-265	198	16	weights(lstm	weights(lstm	NOUN
faba-265	198	17	)	)	PUNCT
faba-265	198	18	ada	ada	NOUN
faba-265	198	19	-	-	PUNCT
faba-265	198	20	usd	usd	NOUN
faba-265	198	21	0	0	NUM
faba-265	198	22	0.014606	0.014606	NUM
faba-265	198	23	bnb	bnb	NOUN
faba-265	198	24	-	-	PUNCT
faba-265	198	25	usd	usd	NOUN
faba-265	198	26	0	0	NUM
faba-265	198	27	-0.05918	-0.05918	NOUN
faba-265	198	28	btc	btc	VERB
faba-265	198	29	-	-	PUNCT
faba-265	198	30	usd	usd	NOUN
faba-265	198	31	0	0	NUM
faba-265	198	32	-1.44428	-1.44428	X
faba-265	198	33	dai	dai	PROPN
faba-265	198	34	-	-	PUNCT
faba-265	198	35	usd	usd	NOUN
faba-265	198	36	0	0	NUM
faba-265	198	37	-4.74505	-4.74505	NOUN
faba-265	198	38	doge	doge	ADJ
faba-265	198	39	-	-	PUNCT
faba-265	198	40	usd	usd	NOUN
faba-265	198	41	0	0	NUM
faba-265	198	42	4.70012e-05	4.70012e-05	NUM
faba-265	198	43	eth	eth	NOUN
faba-265	198	44	-	-	PUNCT
faba-265	198	45	usd	usd	NOUN
faba-265	198	46	0	0	NUM
faba-265	198	47	2.26891	2.26891	NUM
faba-265	198	48	link	link	NOUN
faba-265	198	49	-	-	PUNCT
faba-265	198	50	usd	usd	NOUN
faba-265	198	51	4.21	4.21	NUM
faba-265	198	52	0.0689542	0.0689542	NUM
faba-265	198	53	ltc	ltc	NOUN
faba-265	198	54	-	-	PUNCT
faba-265	198	55	usd	usd	NOUN
faba-265	198	56	0	0	NUM
faba-265	198	57	0.0518116	0.0518116	NUM
faba-265	198	58	usdt	usdt	NOUN
faba-265	198	59	-	-	PUNCT
faba-265	198	60	usd	usd	NOUN
faba-265	198	61	0	0	NUM
faba-265	198	62	0.57744	0.57744	NUM
faba-265	198	63	xrp	xrp	PROPN
faba-265	198	64	-	-	PUNCT
faba-265	198	65	usd	usd	NOUN
faba-265	198	66	0	0	NUM
faba-265	198	67	0.0210249	0.0210249	NUM
faba-265	198	68	xlm	xlm	NUM
faba-265	198	69	-	-	PUNCT
faba-265	198	70	usd	usd	NOUN
faba-265	198	71	40.03	40.03	NUM
faba-265	198	72	-0.0330404	-0.0330404	NOUN
faba-265	198	73	bch	bch	PROPN
faba-265	198	74	-	-	PUNCT
faba-265	198	75	usd	usd	NOUN
faba-265	198	76	0	0	NUM
faba-265	198	77	-0.035509	-0.035509	NOUN
faba-265	198	78	weth	weth	NOUN
faba-265	198	79	-	-	PUNCT
faba-265	198	80	usd	usd	NOUN
faba-265	198	81	0	0	NUM
faba-265	198	82	-2.70253	-2.70253	NOUN
faba-265	198	83	wbtc	wbtc	VERB
faba-265	198	84	-	-	PUNCT
faba-265	198	85	usd	usd	NOUN
faba-265	198	86	0	0	NUM
faba-265	198	87	1.41132	1.41132	NUM
faba-265	198	88	avax	avax	NOUN
faba-265	198	89	-	-	PUNCT
faba-265	198	90	usd	usd	NOUN
faba-265	198	91	16.39	16.39	NUM
faba-265	198	92	0.00331112	0.00331112	NUM
faba-265	198	93	shib	shib	NOUN
faba-265	198	94	-	-	PUNCT
faba-265	198	95	usd	usd	NOUN
faba-265	198	96	22.9	22.9	NUM
faba-265	198	97	0.00729518	0.00729518	NUM
faba-265	198	98	dot	dot	NOUN
faba-265	198	99	-	-	PUNCT
faba-265	198	100	usd	usd	NOUN
faba-265	198	101	0	0	NUM
faba-265	198	102	-0.0759262	-0.0759262	NOUN
faba-265	198	103	leo	leo	PROPN
faba-265	198	104	-	-	PUNCT
faba-265	198	105	usd	usd	PROPN
faba-265	198	106	4.78	4.78	NUM
faba-265	198	107	0.0481682	0.0481682	NUM
faba-265	198	108	sol	sol	NOUN
faba-265	198	109	-	-	PUNCT
faba-265	198	110	usd	usd	NOUN
faba-265	198	111	4.69	4.69	NUM
faba-265	198	112	0.033132	0.033132	NUM
faba-265	198	113	usdc	usdc	ADJ
faba-265	198	114	-	-	PUNCT
faba-265	198	115	usd	usd	NOUN
faba-265	198	116	0	0	NUM
faba-265	198	117	-0.315186	-0.315186	NOUN
faba-265	198	118	steth	steth	PROPN
faba-265	198	119	-	-	PUNCT
faba-265	198	120	usd	usd	NOUN
faba-265	198	121	7.01	7.01	NUM
faba-265	198	122	0.443353	0.443353	NUM
faba-265	198	123	aave	aave	NOUN
faba-265	198	124	-	-	PUNCT
faba-265	198	125	usd	usd	NOUN
faba-265	198	126	0	0	NUM
faba-265	198	127	0.0234812	0.0234812	NUM
faba-265	198	128	vusdt	vusdt	NOUN
faba-265	198	129	-	-	PUNCT
faba-265	198	130	usd	usd	NOUN
faba-265	198	131	0	0	NUM
faba-265	198	132	5.36088	5.36088	NUM
faba-265	198	133	rare11294	rare11294	NOUN
faba-265	198	134	-	-	PUNCT
faba-265	198	135	usd	usd	NOUN
faba-265	198	136	0	0	NUM
faba-265	198	137	0.00904898	0.00904898	NUM
faba-265	198	138	vbtc	vbtc	ADJ
faba-265	198	139	-	-	PUNCT
faba-265	198	140	usd	usd	NOUN
faba-265	198	141	0	0	NUM
faba-265	198	142	0.0679007	0.0679007	NUM
faba-265	198	143	annualized	annualize	VERB
faba-265	198	144	return	return	NOUN
faba-265	198	145	31.15	31.15	NUM
faba-265	198	146	0.017239	0.017239	NUM
faba-265	198	147	annualized	annualize	VERB
faba-265	198	148	volatility	volatility	NOUN
faba-265	198	149	39.05	39.05	NUM
faba-265	198	150	0.011219	0.011219	NUM
faba-265	198	151	count	count	NOUN
faba-265	198	152	data	datum	NOUN
faba-265	198	153	1093	1093	NUM
faba-265	198	154	1093	1093	NUM
faba-265	198	155	sharpe	sharpe	PROPN
faba-265	198	156	ratio	ratio	NOUN
faba-265	198	157	0.7978	0.7978	NUM
faba-265	198	158	1.5365	1.5365	NUM
faba-265	198	159	source	source	NOUN
faba-265	198	160	:	:	PUNCT
faba-265	198	161	based	base	VERB
faba-265	198	162	on	on	ADP
faba-265	198	163	python	python	PROPN
faba-265	198	164	code	code	NOUN
faba-265	198	165	github/	github/	NUM
faba-265	198	166	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	PROPN
faba-265	198	167	source	source	NOUN
faba-265	198	168	:	:	PUNCT
faba-265	198	169	based	base	VERB
faba-265	198	170	on	on	ADP
faba-265	198	171	python	python	PROPN
faba-265	198	172	code	code	NOUN
faba-265	198	173	github/	github/	NUM
faba-265	198	174	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfoliooptimization/blob/main/experiment.ipynb	PROPN
faba-265	198	175	figure	figure	NOUN
faba-265	198	176	5	5	NUM
faba-265	198	177	.	.	PUNCT
faba-265	199	1	cumulative	cumulative	ADJ
faba-265	199	2	returns	return	NOUN
faba-265	199	3	comparison	comparison	NOUN
faba-265	199	4	of	of	ADP
faba-265	199	5	crypto10	crypto10	PROPN
faba-265	199	6	vs	vs	ADP
faba-265	199	7	lstm	lstm	NOUN
faba-265	199	8	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	INTJ
faba-265	200	1	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	INTJ
faba-265	201	1	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	INTJ
faba-265	202	1	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	https://github.com/dimasthoriq/dl-portfolio-optimization/blob/main/experiment.ipynb	PROPN
faba-265	202	2	habib	habib	PROPN
faba-265	202	3	zouaoui	zouaoui	PROPN
faba-265	202	4	,	,	PUNCT
faba-265	202	5	meryem	meryem	NOUN
faba-265	202	6	-	-	PUNCT
faba-265	202	7	nadjat	nadjat	NOUN
faba-265	202	8	naas	naas	PROPN
faba-265	202	9	/	/	SYM
faba-265	202	10	finance	finance	NOUN
faba-265	202	11	,	,	PUNCT
faba-265	202	12	accounting	accounting	NOUN
faba-265	202	13	and	and	CCONJ
faba-265	202	14	business	business	NOUN
faba-265	202	15	analysis	analysis	NOUN
faba-265	202	16	,	,	PUNCT
faba-265	202	17	volume	volume	NOUN
faba-265	202	18	7	7	NUM
faba-265	202	19	,	,	PUNCT
faba-265	202	20	issue	issue	NOUN
faba-265	202	21	1	1	NUM
faba-265	202	22	,	,	PUNCT
faba-265	202	23	2025	2025	NUM
faba-265	202	24	95	95	NUM
faba-265	202	25	through	through	ADP
faba-265	202	26	the	the	DET
faba-265	202	27	results	result	NOUN
faba-265	202	28	shown	show	VERB
faba-265	202	29	above	above	ADP
faba-265	202	30	and	and	CCONJ
faba-265	202	31	according	accord	VERB
faba-265	202	32	to	to	ADP
faba-265	202	33	the	the	DET
faba-265	202	34	distribution	distribution	NOUN
faba-265	202	35	of	of	ADP
faba-265	202	36	optimal	optimal	ADJ
faba-265	202	37	weights	weight	NOUN
faba-265	202	38	for	for	ADP
faba-265	202	39	the	the	DET
faba-265	202	40	investor	investor	NOUN
faba-265	202	41	's	's	PART
faba-265	202	42	expected	expect	VERB
faba-265	202	43	investments	investment	NOUN
faba-265	202	44	during	during	ADP
faba-265	202	45	the	the	DET
faba-265	202	46	year	year	NOUN
faba-265	202	47	2024	2024	NUM
faba-265	202	48	ad	ad	NOUN
faba-265	202	49	for	for	ADP
faba-265	202	50	the	the	DET
faba-265	202	51	next	next	ADJ
faba-265	202	52	5	5	NUM
faba-265	202	53	days	day	NOUN
faba-265	202	54	,	,	PUNCT
faba-265	202	55	we	we	PRON
faba-265	202	56	note	note	VERB
faba-265	202	57	the	the	DET
faba-265	202	58	effectiveness	effectiveness	NOUN
faba-265	202	59	of	of	ADP
faba-265	202	60	the	the	DET
faba-265	202	61	deep	deep	ADJ
faba-265	202	62	learning	learning	NOUN
faba-265	202	63	model	model	NOUN
faba-265	202	64	using	use	VERB
faba-265	202	65	the	the	DET
faba-265	202	66	lstm	lstm	ADJ
faba-265	202	67	algorithm	algorithm	NOUN
faba-265	202	68	(	(	PUNCT
faba-265	202	69	alzaman	alzaman	NOUN
faba-265	202	70	2024	2024	NUM
faba-265	202	71	)	)	PUNCT
faba-265	202	72	with	with	ADP
faba-265	202	73	an	an	DET
faba-265	202	74	expected	expect	VERB
faba-265	202	75	rate	rate	NOUN
faba-265	202	76	of	of	ADP
faba-265	202	77	return	return	NOUN
faba-265	202	78	for	for	ADP
faba-265	202	79	the	the	DET
faba-265	202	80	optimal	optimal	ADJ
faba-265	202	81	portfolio	portfolio	NOUN
faba-265	202	82	estimated	estimate	VERB
faba-265	202	83	at	at	ADP
faba-265	202	84	:	:	PUNCT
faba-265	202	85	1.7239	1.7239	NUM
faba-265	202	86	%	%	NOUN
faba-265	202	87	,	,	PUNCT
faba-265	202	88	the	the	DET
faba-265	202	89	highest	high	ADJ
faba-265	202	90	and	and	CCONJ
faba-265	202	91	lowest	low	ADJ
faba-265	202	92	risk	risk	NOUN
faba-265	202	93	level	level	NOUN
faba-265	202	94	estimated	estimate	VERB
faba-265	202	95	at	at	ADP
faba-265	202	96	1.1219	1.1219	NUM
faba-265	202	97	%	%	NOUN
faba-265	202	98	compared	compare	VERB
faba-265	202	99	to	to	ADP
faba-265	202	100	the	the	DET
faba-265	202	101	outputs	output	NOUN
faba-265	202	102	of	of	ADP
faba-265	202	103	the	the	DET
faba-265	202	104	markowitz	markowitz	PROPN
faba-265	202	105	model	model	PROPN
faba-265	202	106	,	,	PUNCT
faba-265	202	107	which	which	PRON
faba-265	202	108	estimated	estimate	VERB
faba-265	202	109	the	the	DET
faba-265	202	110	rate	rate	NOUN
faba-265	202	111	of	of	ADP
faba-265	202	112	return	return	NOUN
faba-265	202	113	for	for	ADP
faba-265	202	114	the	the	DET
faba-265	202	115	optimal	optimal	ADJ
faba-265	202	116	portfolio	portfolio	NOUN
faba-265	202	117	at	at	ADP
faba-265	202	118	31.15	31.15	NUM
faba-265	202	119	%	%	NOUN
faba-265	202	120	,	,	PUNCT
faba-265	202	121	and	and	CCONJ
faba-265	202	122	a	a	DET
faba-265	202	123	relatively	relatively	ADV
faba-265	202	124	higher	high	ADJ
faba-265	202	125	risk	risk	NOUN
faba-265	202	126	rate	rate	NOUN
faba-265	202	127	estimated	estimate	VERB
faba-265	202	128	at	at	ADP
faba-265	202	129	39.05	39.05	NUM
faba-265	202	130	%	%	NOUN
faba-265	202	131	.	.	PUNCT
faba-265	203	1	the	the	DET
faba-265	203	2	results	result	NOUN
faba-265	203	3	confirm	confirm	VERB
faba-265	203	4	the	the	DET
faba-265	203	5	validity	validity	NOUN
faba-265	203	6	of	of	ADP
faba-265	203	7	the	the	DET
faba-265	203	8	second	second	ADJ
faba-265	203	9	hypothesis	hypothesis	NOUN
faba-265	203	10	,	,	PUNCT
faba-265	203	11	which	which	PRON
faba-265	203	12	states	state	VERB
faba-265	203	13	that	that	SCONJ
faba-265	203	14	deep	deep	ADJ
faba-265	203	15	learning	learning	NOUN
faba-265	203	16	algorithms	algorithm	NOUN
faba-265	203	17	can	can	AUX
faba-265	203	18	benefit	benefit	VERB
faba-265	203	19	better	well	ADV
faba-265	203	20	from	from	ADP
faba-265	203	21	the	the	DET
faba-265	203	22	investment	investment	NOUN
faba-265	203	23	diversification	diversification	NOUN
faba-265	203	24	method	method	NOUN
faba-265	203	25	.	.	PUNCT
faba-265	204	1	as	as	ADP
faba-265	204	2	for	for	ADP
faba-265	204	3	the	the	DET
faba-265	204	4	markowitz	markowitz	PROPN
faba-265	204	5	portfolio	portfolio	PROPN
faba-265	204	6	weights	weight	NOUN
faba-265	204	7	,	,	PUNCT
faba-265	204	8	investment	investment	NOUN
faba-265	204	9	in	in	ADP
faba-265	204	10	most	most	ADJ
faba-265	204	11	cryptocurrencies	cryptocurrencie	NOUN
faba-265	204	12	was	be	AUX
faba-265	204	13	not	not	PART
faba-265	204	14	employed	employ	VERB
faba-265	204	15	and	and	CCONJ
faba-265	204	16	only	only	ADV
faba-265	204	17	seven	seven	NUM
faba-265	204	18	(	(	PUNCT
faba-265	204	19	7	7	NUM
faba-265	204	20	)	)	PUNCT
faba-265	204	21	were	be	AUX
faba-265	204	22	used	use	VERB
faba-265	204	23	,	,	PUNCT
faba-265	204	24	namely	namely	ADV
faba-265	204	25	link	link	NOUN
faba-265	204	26	-	-	PUNCT
faba-265	204	27	usd	usd	NOUN
faba-265	204	28	,	,	PUNCT
faba-265	204	29	xlm	xlm	PROPN
faba-265	204	30	-	-	PUNCT
faba-265	204	31	usd	usd	NOUN
faba-265	204	32	,	,	PUNCT
faba-265	204	33	avax	avax	NOUN
faba-265	204	34	-	-	PUNCT
faba-265	204	35	usd	usd	NOUN
faba-265	204	36	,	,	PUNCT
faba-265	204	37	leo	leo	PROPN
faba-265	204	38	-	-	PUNCT
faba-265	204	39	usd	usd	PROPN
faba-265	204	40	,	,	PUNCT
faba-265	204	41	sol	sol	NOUN
faba-265	204	42	-	-	PUNCT
faba-265	204	43	usd	usd	NOUN
faba-265	204	44	,	,	PUNCT
faba-265	204	45	steth	steth	PROPN
faba-265	204	46	-	-	PUNCT
faba-265	204	47	usd	usd	NOUN
faba-265	204	48	,	,	PUNCT
faba-265	204	49	due	due	ADP
faba-265	204	50	to	to	ADP
faba-265	204	51	the	the	DET
faba-265	204	52	limited	limited	ADJ
faba-265	204	53	operation	operation	NOUN
faba-265	204	54	of	of	ADP
faba-265	204	55	the	the	DET
faba-265	204	56	model	model	NOUN
faba-265	204	57	-	-	PUNCT
faba-265	204	58	based	base	VERB
faba-265	204	59	on	on	ADP
faba-265	204	60	the	the	DET
faba-265	204	61	correlation	correlation	NOUN
faba-265	204	62	coefficient	coefficient	NOUN
faba-265	204	63	and	and	CCONJ
faba-265	204	64	generating	generate	VERB
faba-265	204	65	a	a	DET
faba-265	204	66	limited	limited	ADJ
faba-265	204	67	number	number	NOUN
faba-265	204	68	of	of	ADP
faba-265	204	69	possible	possible	ADJ
faba-265	204	70	portfolios	portfolio	NOUN
faba-265	204	71	,	,	PUNCT
faba-265	204	72	which	which	PRON
faba-265	204	73	achieved	achieve	VERB
faba-265	204	74	an	an	DET
faba-265	204	75	average	average	ADJ
faba-265	204	76	sharpe	sharpe	NOUN
faba-265	204	77	index	index	NOUN
faba-265	204	78	that	that	PRON
faba-265	204	79	is	be	AUX
faba-265	204	80	not	not	PART
faba-265	204	81	motivating	motivate	VERB
faba-265	204	82	for	for	ADP
faba-265	204	83	investment	investment	NOUN
faba-265	204	84	according	accord	VERB
faba-265	204	85	to	to	ADP
faba-265	204	86	the	the	DET
faba-265	204	87	selected	select	VERB
faba-265	204	88	portfolio	portfolio	NOUN
faba-265	204	89	,	,	PUNCT
faba-265	204	90	estimated	estimate	VERB
faba-265	204	91	at	at	ADP
faba-265	204	92	0.7978	0.7978	NUM
faba-265	204	93	%	%	NOUN
faba-265	204	94	.	.	PUNCT
faba-265	205	1	in	in	ADP
faba-265	205	2	contrast	contrast	NOUN
faba-265	205	3	,	,	PUNCT
faba-265	205	4	the	the	DET
faba-265	205	5	deep	deep	ADJ
faba-265	205	6	learning	learning	NOUN
faba-265	205	7	model	model	NOUN
faba-265	205	8	that	that	PRON
faba-265	205	9	trains	train	VERB
faba-265	205	10	a	a	DET
faba-265	205	11	large	large	ADJ
faba-265	205	12	number	number	NOUN
faba-265	205	13	of	of	ADP
faba-265	205	14	predicted	predict	VERB
faba-265	205	15	portfolios	portfolio	NOUN
faba-265	205	16	gave	give	VERB
faba-265	205	17	an	an	DET
faba-265	205	18	excellent	excellent	ADJ
faba-265	205	19	sharpe	sharpe	NOUN
faba-265	205	20	index	index	NOUN
faba-265	205	21	estimated	estimate	VERB
faba-265	205	22	at	at	ADP
faba-265	205	23	1.5365	1.5365	NUM
faba-265	205	24	%	%	NOUN
faba-265	205	25	for	for	ADP
faba-265	205	26	the	the	DET
faba-265	205	27	performance	performance	NOUN
faba-265	205	28	of	of	ADP
faba-265	205	29	the	the	DET
faba-265	205	30	selected	select	VERB
faba-265	205	31	optimal	optimal	ADJ
faba-265	205	32	portfolio	portfolio	NOUN
faba-265	205	33	.	.	PUNCT
faba-265	206	1	this	this	PRON
faba-265	206	2	means	mean	VERB
faba-265	206	3	that	that	SCONJ
faba-265	206	4	this	this	PRON
faba-265	206	5	may	may	AUX
faba-265	206	6	be	be	AUX
faba-265	206	7	an	an	DET
faba-265	206	8	ideal	ideal	ADJ
faba-265	206	9	investment	investment	NOUN
faba-265	206	10	decision	decision	NOUN
faba-265	206	11	.	.	PUNCT
faba-265	207	1	while	while	SCONJ
faba-265	207	2	adding	add	VERB
faba-265	207	3	a	a	DET
faba-265	207	4	new	new	ADJ
faba-265	207	5	asset	asset	NOUN
faba-265	207	6	class	class	NOUN
faba-265	207	7	to	to	ADP
faba-265	207	8	the	the	DET
faba-265	207	9	portfolio	portfolio	NOUN
faba-265	207	10	increases	increase	VERB
faba-265	207	11	risk	risk	NOUN
faba-265	207	12	,	,	PUNCT
faba-265	207	13	the	the	DET
faba-265	207	14	sharply	sharply	ADV
faba-265	207	15	higher	high	ADJ
faba-265	207	16	ratio	ratio	NOUN
faba-265	207	17	indicates	indicate	VERB
faba-265	207	18	that	that	SCONJ
faba-265	207	19	it	it	PRON
faba-265	207	20	is	be	AUX
faba-265	207	21	a	a	DET
faba-265	207	22	risk	risk	NOUN
faba-265	207	23	worth	worth	ADJ
faba-265	207	24	taking	take	VERB
faba-265	207	25	.	.	PUNCT
faba-265	208	1	the	the	DET
faba-265	208	2	high	high	ADJ
faba-265	208	3	risk	risk	NOUN
faba-265	208	4	of	of	ADP
faba-265	208	5	cryptocurrency	cryptocurrency	NOUN
faba-265	208	6	price	price	NOUN
faba-265	208	7	fluctuations	fluctuation	NOUN
faba-265	208	8	can	can	AUX
faba-265	208	9	also	also	ADV
faba-265	208	10	be	be	AUX
faba-265	208	11	explained	explain	VERB
faba-265	208	12	by	by	ADP
faba-265	208	13	the	the	DET
faba-265	208	14	global	global	ADJ
faba-265	208	15	conditions	condition	NOUN
faba-265	208	16	that	that	PRON
faba-265	208	17	the	the	DET
faba-265	208	18	world	world	NOUN
faba-265	208	19	has	have	AUX
faba-265	208	20	gone	go	VERB
faba-265	208	21	through	through	ADV
faba-265	208	22	,	,	PUNCT
faba-265	208	23	especially	especially	ADV
faba-265	208	24	since	since	SCONJ
faba-265	208	25	the	the	DET
faba-265	208	26	study	study	NOUN
faba-265	208	27	period	period	NOUN
faba-265	208	28	coincided	coincide	VERB
faba-265	208	29	with	with	ADP
faba-265	208	30	the	the	DET
faba-265	208	31	repercussions	repercussion	NOUN
faba-265	208	32	of	of	ADP
faba-265	208	33	the	the	DET
faba-265	208	34	corona	corona	NOUN
faba-265	208	35	pandemic	pandemic	ADJ
faba-265	208	36	(	(	PUNCT
faba-265	208	37	covid-19	covid-19	PROPN
faba-265	208	38	)	)	PUNCT
faba-265	208	39	and	and	CCONJ
faba-265	208	40	political	political	ADJ
faba-265	208	41	factors	factor	NOUN
faba-265	208	42	(	(	PUNCT
faba-265	208	43	the	the	DET
faba-265	208	44	us	us	PROPN
faba-265	208	45	elections	election	NOUN
faba-265	208	46	)	)	PUNCT
faba-265	208	47	and	and	CCONJ
faba-265	208	48	geopolitical	geopolitical	ADJ
faba-265	208	49	factors	factor	NOUN
faba-265	208	50	(	(	PUNCT
faba-265	208	51	the	the	DET
faba-265	208	52	ukraine	ukraine	PROPN
faba-265	208	53	war	war	PROPN
faba-265	208	54	,	,	PUNCT
faba-265	208	55	the	the	DET
faba-265	208	56	war	war	NOUN
faba-265	208	57	on	on	ADP
faba-265	208	58	gaza	gaza	PROPN
faba-265	208	59	)	)	PUNCT
faba-265	208	60	,	,	PUNCT
faba-265	208	61	where	where	SCONJ
faba-265	208	62	cryptocurrency	cryptocurrency	NOUN
faba-265	208	63	trading	trading	NOUN
faba-265	208	64	platforms	platform	NOUN
faba-265	208	65	experienced	experience	VERB
faba-265	208	66	several	several	ADJ
faba-265	208	67	collapses	collapse	NOUN
faba-265	208	68	due	due	ADP
faba-265	208	69	to	to	ADP
faba-265	208	70	investors	investor	NOUN
faba-265	208	71	'	'	PART
faba-265	208	72	fears	fear	NOUN
faba-265	208	73	for	for	ADP
faba-265	208	74	their	their	PRON
faba-265	208	75	assets	asset	NOUN
faba-265	208	76	.	.	PUNCT
faba-265	209	1	however	however	ADV
faba-265	209	2	,	,	PUNCT
faba-265	209	3	the	the	DET
faba-265	209	4	results	result	NOUN
faba-265	209	5	of	of	ADP
faba-265	209	6	the	the	DET
faba-265	209	7	study	study	NOUN
faba-265	209	8	remain	remain	VERB
faba-265	209	9	relative	relative	ADJ
faba-265	209	10	,	,	PUNCT
faba-265	209	11	especially	especially	ADV
faba-265	209	12	in	in	ADP
faba-265	209	13	the	the	DET
faba-265	209	14	field	field	NOUN
faba-265	209	15	of	of	ADP
faba-265	209	16	deep	deep	ADJ
faba-265	209	17	learning	learning	NOUN
faba-265	209	18	,	,	PUNCT
faba-265	209	19	which	which	PRON
faba-265	209	20	raises	raise	VERB
faba-265	209	21	the	the	DET
faba-265	209	22	issue	issue	NOUN
faba-265	209	23	of	of	ADP
faba-265	209	24	the	the	DET
faba-265	209	25	transparency	transparency	NOUN
faba-265	209	26	of	of	ADP
faba-265	209	27	big	big	ADJ
faba-265	209	28	data	datum	NOUN
faba-265	209	29	that	that	PRON
faba-265	209	30	depends	depend	VERB
faba-265	209	31	on	on	ADP
faba-265	209	32	its	its	PRON
faba-265	209	33	training	training	NOUN
faba-265	209	34	in	in	ADP
faba-265	209	35	the	the	DET
faba-265	209	36	field	field	NOUN
faba-265	209	37	of	of	ADP
faba-265	209	38	making	make	VERB
faba-265	209	39	investment	investment	NOUN
faba-265	209	40	decisions	decision	NOUN
faba-265	209	41	in	in	ADP
faba-265	209	42	financial	financial	ADJ
faba-265	209	43	markets	market	NOUN
faba-265	209	44	,	,	PUNCT
faba-265	209	45	with	with	ADP
faba-265	209	46	the	the	DET
faba-265	209	47	possibility	possibility	NOUN
faba-265	209	48	of	of	ADP
faba-265	209	49	changing	change	VERB
faba-265	209	50	the	the	DET
faba-265	209	51	basic	basic	ADJ
faba-265	209	52	parameters	parameter	NOUN
faba-265	209	53	in	in	ADP
faba-265	209	54	building	build	VERB
faba-265	209	55	the	the	DET
faba-265	209	56	lstm	lstm	PROPN
faba-265	209	57	model	model	NOUN
faba-265	209	58	to	to	PART
faba-265	209	59	reduce	reduce	VERB
faba-265	209	60	errors	error	NOUN
faba-265	209	61	and	and	CCONJ
faba-265	209	62	even	even	ADV
faba-265	209	63	the	the	DET
faba-265	209	64	possibility	possibility	NOUN
faba-265	209	65	of	of	ADP
faba-265	209	66	adding	add	VERB
faba-265	209	67	gru	gru	NOUN
faba-265	209	68	and	and	CCONJ
faba-265	209	69	bilstm	bilstm	NOUN
faba-265	209	70	algorithms	algorithm	NOUN
faba-265	209	71	in	in	ADP
faba-265	209	72	future	future	ADJ
faba-265	209	73	studies	study	NOUN
faba-265	209	74	to	to	PART
faba-265	209	75	increase	increase	VERB
faba-265	209	76	the	the	DET
faba-265	209	77	power	power	NOUN
faba-265	209	78	of	of	ADP
faba-265	209	79	deep	deep	ADJ
faba-265	209	80	learning	learning	NOUN
faba-265	209	81	in	in	ADP
faba-265	209	82	the	the	DET
faba-265	209	83	investment	investment	NOUN
faba-265	209	84	process	process	NOUN
faba-265	209	85	in	in	ADP
faba-265	209	86	high	high	ADJ
faba-265	209	87	-	-	PUNCT
faba-265	209	88	risk	risk	NOUN
faba-265	209	89	markets	market	NOUN
faba-265	209	90	(	(	PUNCT
faba-265	209	91	the	the	DET
faba-265	209	92	cryptocurrency	cryptocurrency	NOUN
faba-265	209	93	market	market	NOUN
faba-265	209	94	)	)	PUNCT
faba-265	209	95	while	while	SCONJ
faba-265	209	96	increasing	increase	VERB
faba-265	209	97	the	the	DET
faba-265	209	98	number	number	NOUN
faba-265	209	99	of	of	ADP
faba-265	209	100	observations	observation	NOUN
faba-265	209	101	to	to	PART
faba-265	209	102	become	become	VERB
faba-265	209	103	big	big	ADJ
faba-265	209	104	data	datum	NOUN
faba-265	209	105	that	that	PRON
faba-265	209	106	helps	help	VERB
faba-265	209	107	in	in	ADP
faba-265	209	108	training	training	NOUN
faba-265	209	109	and	and	CCONJ
faba-265	209	110	testing	testing	NOUN
faba-265	209	111	(	(	PUNCT
faba-265	209	112	xu	xu	INTJ
faba-265	209	113	et	et	PROPN
faba-265	209	114	al	al	PROPN
faba-265	209	115	.	.	PROPN
faba-265	209	116	2025	2025	NUM
faba-265	209	117	)	)	PUNCT
faba-265	209	118	.	.	PUNCT
faba-265	210	1	conclusion	conclusion	NOUN
faba-265	210	2	this	this	DET
faba-265	210	3	study	study	NOUN
faba-265	210	4	has	have	AUX
faba-265	210	5	highlighted	highlight	VERB
faba-265	210	6	the	the	DET
faba-265	210	7	transformative	transformative	ADJ
faba-265	210	8	potential	potential	NOUN
faba-265	210	9	of	of	ADP
faba-265	210	10	deep	deep	ADJ
faba-265	210	11	learning	learning	NOUN
faba-265	210	12	techniques	technique	NOUN
faba-265	210	13	in	in	ADP
faba-265	210	14	the	the	DET
faba-265	210	15	realm	realm	NOUN
faba-265	210	16	of	of	ADP
faba-265	210	17	cryptocurrency	cryptocurrency	NOUN
faba-265	210	18	portfolio	portfolio	NOUN
faba-265	210	19	optimization	optimization	NOUN
faba-265	210	20	.	.	PUNCT
faba-265	211	1	traditional	traditional	ADJ
faba-265	211	2	methods	method	NOUN
faba-265	211	3	often	often	ADV
faba-265	211	4	fall	fall	VERB
faba-265	211	5	short	short	ADJ
faba-265	211	6	in	in	ADP
faba-265	211	7	capturing	capture	VERB
faba-265	211	8	the	the	DET
faba-265	211	9	inherent	inherent	ADJ
faba-265	211	10	complexities	complexity	NOUN
faba-265	211	11	and	and	CCONJ
faba-265	211	12	non	non	ADJ
faba-265	211	13	-	-	ADJ
faba-265	211	14	linear	linear	ADJ
faba-265	211	15	dynamics	dynamic	NOUN
faba-265	211	16	of	of	ADP
faba-265	211	17	cryptocurrency	cryptocurrency	NOUN
faba-265	211	18	markets	market	NOUN
faba-265	211	19	.	.	PUNCT
faba-265	212	1	deep	deep	ADJ
faba-265	212	2	learning	learning	NOUN
faba-265	212	3	approaches	approach	NOUN
faba-265	212	4	,	,	PUNCT
faba-265	212	5	including	include	VERB
faba-265	212	6	neural	neural	ADJ
faba-265	212	7	networks	network	NOUN
faba-265	212	8	and	and	CCONJ
faba-265	212	9	reinforcement	reinforcement	NOUN
faba-265	212	10	learning	learning	NOUN
faba-265	212	11	,	,	PUNCT
faba-265	212	12	demonstrate	demonstrate	VERB
faba-265	212	13	a	a	DET
faba-265	212	14	superior	superior	ADJ
faba-265	212	15	ability	ability	NOUN
faba-265	212	16	to	to	PART
faba-265	212	17	model	model	VERB
faba-265	212	18	intricate	intricate	ADJ
faba-265	212	19	relationships	relationship	NOUN
faba-265	212	20	among	among	ADP
faba-265	212	21	assets	asset	NOUN
faba-265	212	22	,	,	PUNCT
faba-265	212	23	leading	lead	VERB
faba-265	212	24	to	to	ADP
faba-265	212	25	enhanced	enhance	VERB
faba-265	212	26	predictive	predictive	ADJ
faba-265	212	27	accuracy	accuracy	NOUN
faba-265	212	28	and	and	CCONJ
faba-265	212	29	improved	improved	ADJ
faba-265	212	30	risk	risk	NOUN
faba-265	212	31	-	-	PUNCT
faba-265	212	32	adjusted	adjust	VERB
faba-265	212	33	returns	return	NOUN
faba-265	212	34	.	.	PUNCT
faba-265	213	1	the	the	DET
faba-265	213	2	review	review	NOUN
faba-265	213	3	also	also	ADV
faba-265	213	4	underscored	underscore	VERB
faba-265	213	5	the	the	DET
faba-265	213	6	importance	importance	NOUN
faba-265	213	7	of	of	ADP
faba-265	213	8	data	datum	NOUN
faba-265	213	9	preprocessing	preprocessing	NOUN
faba-265	213	10	,	,	PUNCT
faba-265	213	11	feature	feature	NOUN
faba-265	213	12	selection	selection	NOUN
faba-265	213	13	,	,	PUNCT
faba-265	213	14	and	and	CCONJ
faba-265	213	15	the	the	DET
faba-265	213	16	evaluation	evaluation	NOUN
faba-265	213	17	of	of	ADP
faba-265	213	18	model	model	NOUN
faba-265	213	19	performance	performance	NOUN
faba-265	213	20	metrics	metric	NOUN
faba-265	213	21	,	,	PUNCT
faba-265	213	22	which	which	PRON
faba-265	213	23	are	be	AUX
faba-265	213	24	critical	critical	ADJ
faba-265	213	25	for	for	ADP
faba-265	213	26	effective	effective	ADJ
faba-265	213	27	implementation	implementation	NOUN
faba-265	213	28	.	.	PUNCT
faba-265	214	1	despite	despite	SCONJ
faba-265	214	2	the	the	DET
faba-265	214	3	promising	promising	ADJ
faba-265	214	4	results	result	NOUN
faba-265	214	5	,	,	PUNCT
faba-265	214	6	several	several	ADJ
faba-265	214	7	gaps	gap	NOUN
faba-265	214	8	remain	remain	VERB
faba-265	214	9	in	in	ADP
faba-265	214	10	the	the	DET
faba-265	214	11	literature	literature	NOUN
faba-265	214	12	,	,	PUNCT
faba-265	214	13	particularly	particularly	ADV
faba-265	214	14	concerning	concern	VERB
faba-265	214	15	the	the	DET
faba-265	214	16	interpretability	interpretability	NOUN
faba-265	214	17	of	of	ADP
faba-265	214	18	deep	deep	ADJ
faba-265	214	19	learning	learning	NOUN
faba-265	214	20	models	model	NOUN
faba-265	214	21	and	and	CCONJ
faba-265	214	22	their	their	PRON
faba-265	214	23	adaptability	adaptability	NOUN
faba-265	214	24	to	to	ADP
faba-265	214	25	changing	change	VERB
faba-265	214	26	market	market	NOUN
faba-265	214	27	conditions	condition	NOUN
faba-265	214	28	.	.	PUNCT
faba-265	215	1	therefore	therefore	ADV
faba-265	215	2	,	,	PUNCT
faba-265	215	3	future	future	ADJ
faba-265	215	4	research	research	NOUN
faba-265	215	5	should	should	AUX
faba-265	215	6	focus	focus	VERB
faba-265	215	7	on	on	ADP
faba-265	215	8	integrating	integrate	VERB
faba-265	215	9	macroeconomic	macroeconomic	ADJ
faba-265	215	10	factors	factor	NOUN
faba-265	215	11	and	and	CCONJ
faba-265	215	12	exploring	explore	VERB
faba-265	215	13	hybrid	hybrid	ADJ
faba-265	215	14	models	model	NOUN
faba-265	215	15	(	(	PUNCT
faba-265	215	16	das	das	PROPN
faba-265	215	17	et	et	PROPN
faba-265	215	18	al	al	PROPN
faba-265	215	19	.	.	PROPN
faba-265	215	20	2024	2024	NUM
faba-265	215	21	)	)	PUNCT
faba-265	215	22	that	that	PRON
faba-265	215	23	combine	combine	VERB
faba-265	215	24	traditional	traditional	ADJ
faba-265	215	25	financial	financial	ADJ
faba-265	215	26	theories	theory	NOUN
faba-265	215	27	with	with	ADP
faba-265	215	28	advanced	advanced	ADJ
faba-265	215	29	machine	machine	NOUN
faba-265	215	30	learning	learn	VERB
faba-265	215	31	techniques	technique	NOUN
faba-265	215	32	.	.	PUNCT
faba-265	216	1	additionally	additionally	ADV
faba-265	216	2	,	,	PUNCT
faba-265	216	3	empirical	empirical	ADJ
faba-265	216	4	studies	study	NOUN
faba-265	216	5	assessing	assess	VERB
faba-265	216	6	the	the	DET
faba-265	216	7	long	long	ADJ
faba-265	216	8	-	-	PUNCT
faba-265	216	9	term	term	NOUN
faba-265	216	10	performance	performance	NOUN
faba-265	216	11	of	of	ADP
faba-265	216	12	deep	deep	ADJ
faba-265	216	13	learning	learning	NOUN
faba-265	216	14	-	-	PUNCT
faba-265	216	15	based	base	VERB
faba-265	216	16	portfolios	portfolio	NOUN
faba-265	216	17	could	could	AUX
faba-265	216	18	provide	provide	VERB
faba-265	216	19	valuable	valuable	ADJ
faba-265	216	20	insights	insight	NOUN
faba-265	216	21	.	.	PUNCT
faba-265	217	1	ultimately	ultimately	ADV
faba-265	217	2	,	,	PUNCT
faba-265	217	3	leveraging	leverage	VERB
faba-265	217	4	deep	deep	ADJ
faba-265	217	5	learning	learning	NOUN
faba-265	217	6	in	in	ADP
faba-265	217	7	cryptocurrency	cryptocurrency	NOUN
faba-265	217	8	portfolio	portfolio	NOUN
faba-265	217	9	optimization	optimization	NOUN
faba-265	217	10	represents	represent	VERB
faba-265	217	11	a	a	DET
faba-265	217	12	significant	significant	ADJ
faba-265	217	13	advancement	advancement	NOUN
faba-265	217	14	in	in	ADP
faba-265	217	15	investment	investment	NOUN
faba-265	217	16	strategies	strategy	NOUN
faba-265	217	17	,	,	PUNCT
faba-265	217	18	offering	offer	VERB
faba-265	217	19	a	a	DET
faba-265	217	20	more	more	ADV
faba-265	217	21	nuanced	nuanced	ADJ
faba-265	217	22	approach	approach	NOUN
faba-265	217	23	to	to	ADP
faba-265	217	24	navigating	navigate	VERB
faba-265	217	25	the	the	DET
faba-265	217	26	complexities	complexity	NOUN
faba-265	217	27	of	of	ADP
faba-265	217	28	modern	modern	ADJ
faba-265	217	29	financial	financial	ADJ
faba-265	217	30	markets	market	NOUN
faba-265	217	31	however	however	ADV
faba-265	217	32	,	,	PUNCT
faba-265	217	33	the	the	DET
faba-265	217	34	integration	integration	NOUN
faba-265	217	35	of	of	ADP
faba-265	217	36	long	long	ADJ
faba-265	217	37	short	short	ADJ
faba-265	217	38	-	-	PUNCT
faba-265	217	39	term	term	NOUN
faba-265	217	40	memory	memory	NOUN
faba-265	217	41	(	(	PUNCT
faba-265	217	42	lstm	lstm	ADJ
faba-265	217	43	)	)	PUNCT
faba-265	217	44	neural	neural	ADJ
faba-265	217	45	networks	network	NOUN
faba-265	217	46	with	with	ADP
faba-265	217	47	mpt	mpt	NOUN
faba-265	217	48	for	for	ADP
faba-265	217	49	cryptocurrency	cryptocurrency	NOUN
faba-265	217	50	portfolio	portfolio	NOUN
faba-265	217	51	optimization	optimization	NOUN
faba-265	217	52	presents	present	VERB
faba-265	217	53	a	a	DET
faba-265	217	54	compelling	compelling	ADJ
faba-265	217	55	solution	solution	NOUN
faba-265	217	56	to	to	ADP
faba-265	217	57	these	these	DET
faba-265	217	58	challenges	challenge	NOUN
faba-265	217	59	.	.	PUNCT
faba-265	218	1	lstm	lstm	PROPN
faba-265	218	2	,	,	PUNCT
faba-265	218	3	a	a	DET
faba-265	218	4	deep	deep	ADJ
faba-265	218	5	learning	learning	NOUN
faba-265	218	6	model	model	NOUN
faba-265	218	7	designed	design	VERB
faba-265	218	8	for	for	ADP
faba-265	218	9	sequential	sequential	ADJ
faba-265	218	10	data	datum	NOUN
faba-265	218	11	,	,	PUNCT
faba-265	218	12	can	can	AUX
faba-265	218	13	effectively	effectively	ADV
faba-265	218	14	capture	capture	VERB
faba-265	218	15	the	the	DET
faba-265	218	16	time	time	NOUN
faba-265	218	17	-	-	PUNCT
faba-265	218	18	series	series	NOUN
faba-265	218	19	dependencies	dependencie	VERB
faba-265	218	20	inherent	inherent	ADJ
faba-265	218	21	in	in	ADP
faba-265	218	22	cryptocurrency	cryptocurrency	NOUN
faba-265	218	23	prices	price	NOUN
faba-265	218	24	,	,	PUNCT
faba-265	218	25	which	which	DET
faba-265	218	26	fluctuate	fluctuate	NOUN
faba-265	218	27	based	base	VERB
faba-265	218	28	on	on	ADP
faba-265	218	29	factors	factor	NOUN
faba-265	218	30	like	like	ADP
faba-265	218	31	market	market	NOUN
faba-265	218	32	sentiment	sentiment	NOUN
faba-265	218	33	,	,	PUNCT
faba-265	218	34	regulatory	regulatory	ADJ
faba-265	218	35	news	news	NOUN
faba-265	218	36	,	,	PUNCT
faba-265	218	37	and	and	CCONJ
faba-265	218	38	macroeconomic	macroeconomic	ADJ
faba-265	218	39	trends	trend	NOUN
faba-265	218	40	.	.	PUNCT
faba-265	219	1	when	when	SCONJ
faba-265	219	2	combined	combine	VERB
faba-265	219	3	with	with	ADP
faba-265	219	4	mpt	mpt	PROPN
faba-265	219	5	,	,	PUNCT
faba-265	219	6	lstm	lstm	NOUN
faba-265	219	7	can	can	AUX
faba-265	219	8	address	address	VERB
faba-265	219	9	many	many	ADJ
faba-265	219	10	of	of	ADP
faba-265	219	11	the	the	DET
faba-265	219	12	limitations	limitation	NOUN
faba-265	219	13	of	of	ADP
faba-265	219	14	traditional	traditional	ADJ
faba-265	219	15	portfolio	portfolio	NOUN
faba-265	219	16	optimization	optimization	NOUN
faba-265	219	17	methods	method	NOUN
faba-265	219	18	by	by	ADP
faba-265	219	19	incorporating	incorporate	VERB
faba-265	219	20	dynamic	dynamic	ADJ
faba-265	219	21	forecasting	forecasting	NOUN
faba-265	219	22	,	,	PUNCT
faba-265	219	23	non	non	ADJ
faba-265	219	24	-	-	ADJ
faba-265	219	25	linear	linear	ADJ
faba-265	219	26	relationships	relationship	NOUN
faba-265	219	27	,	,	PUNCT
faba-265	219	28	and	and	CCONJ
faba-265	219	29	the	the	DET
faba-265	219	30	ability	ability	NOUN
faba-265	219	31	to	to	PART
faba-265	219	32	adapt	adapt	VERB
faba-265	219	33	to	to	ADP
faba-265	219	34	changing	change	VERB
faba-265	219	35	market	market	NOUN
faba-265	219	36	conditions	condition	NOUN
faba-265	219	37	.	.	PUNCT
faba-265	220	1	furthermore	furthermore	ADV
faba-265	220	2	,	,	PUNCT
faba-265	220	3	based	base	VERB
faba-265	220	4	on	on	ADP
faba-265	220	5	current	current	ADJ
faba-265	220	6	results	result	NOUN
faba-265	220	7	,	,	PUNCT
faba-265	220	8	future	future	ADJ
faba-265	220	9	research	research	NOUN
faba-265	220	10	can	can	AUX
faba-265	220	11	anticipate	anticipate	VERB
faba-265	220	12	substantial	substantial	ADJ
faba-265	220	13	performance	performance	NOUN
faba-265	220	14	enhancements	enhancement	NOUN
faba-265	220	15	by	by	ADP
faba-265	220	16	further	far	ADV
faba-265	220	17	optimizing	optimize	VERB
faba-265	220	18	the	the	DET
faba-265	220	19	parameters	parameter	NOUN
faba-265	220	20	of	of	ADP
faba-265	220	21	deep	deep	ADJ
faba-265	220	22	learning	learning	NOUN
faba-265	220	23	models	model	NOUN
faba-265	220	24	.	.	PUNCT
faba-265	221	1	fine	fine	ADJ
faba-265	221	2	-	-	PUNCT
faba-265	221	3	tuning	tune	VERB
faba-265	221	4	these	these	DET
faba-265	221	5	parameters	parameter	NOUN
faba-265	221	6	is	be	AUX
faba-265	221	7	expected	expect	VERB
faba-265	221	8	to	to	PART
faba-265	221	9	increase	increase	VERB
faba-265	221	10	the	the	DET
faba-265	221	11	accuracy	accuracy	NOUN
faba-265	221	12	of	of	ADP
faba-265	221	13	predictions	prediction	NOUN
faba-265	221	14	and	and	CCONJ
faba-265	221	15	overall	overall	ADJ
faba-265	221	16	portfolio	portfolio	NOUN
faba-265	221	17	performance	performance	NOUN
faba-265	221	18	.	.	PUNCT
faba-265	222	1	additionally	additionally	ADV
faba-265	222	2	,	,	PUNCT
faba-265	222	3	exploring	explore	VERB
faba-265	222	4	hybrid	hybrid	ADJ
faba-265	222	5	approaches	approach	NOUN
faba-265	222	6	that	that	PRON
faba-265	222	7	combine	combine	VERB
faba-265	222	8	deep	deep	ADJ
faba-265	222	9	learning	learning	NOUN
faba-265	222	10	with	with	ADP
faba-265	222	11	traditional	traditional	ADJ
faba-265	222	12	financial	financial	ADJ
faba-265	222	13	models	model	NOUN
faba-265	222	14	could	could	AUX
faba-265	222	15	yield	yield	VERB
faba-265	222	16	new	new	ADJ
faba-265	222	17	insights	insight	NOUN
faba-265	222	18	and	and	CCONJ
faba-265	222	19	strategies	strategy	NOUN
faba-265	222	20	for	for	ADP
faba-265	222	21	effective	effective	ADJ
faba-265	222	22	portfolio	portfolio	NOUN
faba-265	222	23	management	management	NOUN
faba-265	222	24	.	.	PUNCT
faba-265	223	1	finally	finally	ADV
faba-265	223	2	,	,	PUNCT
faba-265	223	3	as	as	SCONJ
faba-265	223	4	the	the	DET
faba-265	223	5	cryptocurrency	cryptocurrency	NOUN
faba-265	223	6	landscape	landscape	NOUN
faba-265	223	7	continues	continue	VERB
faba-265	223	8	to	to	PART
faba-265	223	9	evolve	evolve	VERB
faba-265	223	10	,	,	PUNCT
faba-265	223	11	continued	continued	ADJ
faba-265	223	12	investment	investment	NOUN
faba-265	223	13	in	in	ADP
faba-265	223	14	developing	develop	VERB
faba-265	223	15	robust	robust	ADJ
faba-265	223	16	,	,	PUNCT
faba-265	223	17	data	data	NOUN
faba-265	223	18	-	-	PUNCT
faba-265	223	19	driven	drive	VERB
faba-265	223	20	optimization	optimization	NOUN
faba-265	223	21	techniques	technique	NOUN
faba-265	223	22	will	will	AUX
faba-265	223	23	be	be	AUX
faba-265	223	24	essential	essential	ADJ
faba-265	223	25	for	for	ADP
faba-265	223	26	navigating	navigate	VERB
faba-265	223	27	its	its	PRON
faba-265	223	28	inherent	inherent	ADJ
faba-265	223	29	volatility	volatility	NOUN
faba-265	223	30	and	and	CCONJ
faba-265	223	31	complexity	complexity	NOUN
faba-265	223	32	.	.	PUNCT
faba-265	224	1	this	this	DET
faba-265	224	2	ongoing	ongoing	ADJ
faba-265	224	3	exploration	exploration	NOUN
faba-265	224	4	promises	promise	NOUN
faba-265	224	5	to	to	PART
faba-265	224	6	advance	advance	VERB
faba-265	224	7	both	both	DET
faba-265	224	8	theoretical	theoretical	ADJ
faba-265	224	9	frameworks	framework	NOUN
faba-265	224	10	and	and	CCONJ
faba-265	224	11	practical	practical	ADJ
faba-265	224	12	applications	application	NOUN
faba-265	224	13	in	in	ADP
faba-265	224	14	the	the	DET
faba-265	224	15	field	field	NOUN
faba-265	224	16	of	of	ADP
faba-265	224	17	finance	finance	NOUN
faba-265	224	18	.	.	PUNCT
faba-265	225	1	https://www.researchgate.net/scientific-contributions/zhihan-xu-2310944930?_sg%5b0%5d=nshxw2tzfs_nlqlgcz6xzaexlsztzphyk7yyktuhhfgwykz-6xli54nklpasjn5sk6wyszm.cr3p79x3re5v8zarcoqkkrfrx1_7uiuzoekmlbwtmx5lviqjhc_xdoltc7pngi-yc9nlgkzn7xn5kq_sawhqcq&_sg%5b1%5d=-qo9dnqhyd-cudf6f7ri50_zuzec_iwjsnfl5sent-1nsgnjxlzlfobvtbjwqjrrl4h9nng.i3p6f0lebdaywuwi5lg2tluf8w4dnr79jz4gcfxdxumkjctvcmuhj4-art06vgjjzr3rgcuzpddxcx4vjahrla&_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uiiwicg9zaxrpb24ioijwywdlsgvhzgvyin19	https://www.researchgate.net/scientific-contributions/zhihan-xu-2310944930?_sg%5b0%5d=nshxw2tzfs_nlqlgcz6xzaexlsztzphyk7yyktuhhfgwykz-6xli54nklpasjn5sk6wyszm.cr3p79x3re5v8zarcoqkkrfrx1_7uiuzoekmlbwtmx5lviqjhc_xdoltc7pngi-yc9nlgkzn7xn5kq_sawhqcq&_sg%5b1%5d=-qo9dnqhyd-cudf6f7ri50_zuzec_iwjsnfl5sent-1nsgnjxlzlfobvtbjwqjrrl4h9nng.i3p6f0lebdaywuwi5lg2tluf8w4dnr79jz4gcfxdxumkjctvcmuhj4-art06vgjjzr3rgcuzpddxcx4vjahrla&_tp=eyjjb250zxh0ijp7imzpcnn0ugfnzsi6inb1ymxpy2f0aw9uiiwicgfnzsi6inb1ymxpy2f0aw9uiiwicg9zaxrpb24ioijwywdlsgvhzgvyin19	PROPN
faba-265	225	2	habib	habib	PROPN
faba-265	225	3	zouaoui	zouaoui	PROPN
faba-265	225	4	,	,	PUNCT
faba-265	225	5	meryem	meryem	NOUN
faba-265	225	6	-	-	PUNCT
faba-265	225	7	nadjat	nadjat	NOUN
faba-265	225	8	naas	naas	PROPN
faba-265	225	9	/	/	SYM
faba-265	225	10	finance	finance	NOUN
faba-265	225	11	,	,	PUNCT
faba-265	225	12	accounting	accounting	NOUN
faba-265	225	13	and	and	CCONJ
faba-265	225	14	business	business	NOUN
faba-265	225	15	analysis	analysis	NOUN
faba-265	225	16	,	,	PUNCT
faba-265	225	17	volume	volume	NOUN
faba-265	225	18	7	7	NUM
faba-265	225	19	,	,	PUNCT
faba-265	225	20	issue	issue	NOUN
faba-265	225	21	1	1	NUM
faba-265	225	22	,	,	PUNCT
faba-265	225	23	2025	2025	NUM
faba-265	225	24	96	96	NUM
faba-265	225	25	references	reference	NOUN
faba-265	225	26	alzaman	alzaman	NOUN
faba-265	225	27	,	,	PUNCT
faba-265	225	28	c.	c.	PROPN
faba-265	225	29	2024	2024	NUM
faba-265	225	30	.	.	PUNCT
faba-265	226	1	deep	deep	ADJ
faba-265	226	2	learning	learning	NOUN
faba-265	226	3	in	in	ADP
faba-265	226	4	stock	stock	NOUN
faba-265	226	5	portfolio	portfolio	NOUN
faba-265	226	6	selection	selection	NOUN
faba-265	226	7	and	and	CCONJ
faba-265	226	8	predictions	prediction	NOUN
faba-265	226	9	,	,	PUNCT
faba-265	226	10	expert	expert	NOUN
faba-265	226	11	systems	system	NOUN
faba-265	226	12	with	with	ADP
faba-265	226	13	applications	application	NOUN
faba-265	226	14	,	,	PUNCT
faba-265	226	15	237(part	237(part	PROPN
faba-265	226	16	b	b	NUM
faba-265	226	17	):	):	PUNCT
faba-265	226	18	121404	121404	NUM
faba-265	226	19	,	,	PUNCT
faba-265	226	20	https://doi.org/10.1016/j.eswa.2023.121404	https://doi.org/10.1016/j.eswa.2023.121404	PROPN
faba-265	226	21	.	.	PUNCT
faba-265	226	22	cui	cui	PROPN
faba-265	226	23	,	,	PUNCT
faba-265	226	24	t.	t.	PROPN
faba-265	226	25	,	,	PUNCT
faba-265	226	26	s.	s.	PROPN
faba-265	226	27	ding	ding	PROPN
faba-265	226	28	,	,	PUNCT
faba-265	226	29	h.	h.	PROPN
faba-265	226	30	jin	jin	PROPN
faba-265	226	31	,	,	PUNCT
faba-265	226	32	and	and	CCONJ
faba-265	226	33	y.	y.	PROPN
faba-265	226	34	zhang	zhang	PROPN
faba-265	226	35	.	.	PROPN
faba-265	227	1	2023	2023	NUM
faba-265	227	2	,	,	PUNCT
faba-265	227	3	portfolio	portfolio	NOUN
faba-265	227	4	constructions	construction	NOUN
faba-265	227	5	in	in	ADP
faba-265	227	6	cryptocurrency	cryptocurrency	NOUN
faba-265	227	7	market	market	NOUN
faba-265	227	8	:	:	PUNCT
faba-265	227	9	a	a	DET
faba-265	227	10	cvar	cvar	NOUN
faba-265	227	11	-	-	PUNCT
faba-265	227	12	based	base	VERB
faba-265	227	13	deep	deep	ADJ
faba-265	227	14	reinforcement	reinforcement	NOUN
faba-265	227	15	learning	learning	NOUN
faba-265	227	16	approach	approach	NOUN
faba-265	227	17	.	.	PUNCT
faba-265	228	1	economic	economic	ADJ
faba-265	228	2	modelling	modelling	NOUN
faba-265	228	3	,	,	PUNCT
faba-265	228	4	119	119	NUM
faba-265	228	5	,	,	PUNCT
faba-265	228	6	106078	106078	NUM
faba-265	228	7	,	,	PUNCT
faba-265	228	8	https://doi.org/10.1016/j.econmod.2022.106078	https://doi.org/10.1016/j.econmod.2022.106078	PROPN
faba-265	228	9	.	.	PUNCT
faba-265	229	1	das	das	PROPN
faba-265	229	2	,	,	PUNCT
faba-265	229	3	j.	j.	PROPN
faba-265	229	4	d.	d.	PROPN
faba-265	229	5	,	,	PUNCT
faba-265	229	6	s.	s.	PROPN
faba-265	229	7	bowala	bowala	PROPN
faba-265	229	8	,	,	PUNCT
faba-265	229	9	r.	r.	PROPN
faba-265	229	10	thulasiram	thulasiram	PROPN
faba-265	229	11	,	,	PUNCT
faba-265	229	12	and	and	CCONJ
faba-265	229	13	a.	a.	NOUN
faba-265	229	14	thavaneswaran	thavaneswaran	PROPN
faba-265	229	15	.	.	PUNCT
faba-265	230	1	2024	2024	NUM
faba-265	230	2	.	.	PUNCT
faba-265	231	1	hybrid	hybrid	ADJ
faba-265	231	2	data	data	NOUN
faba-265	231	3	-	-	PUNCT
faba-265	231	4	driven	drive	VERB
faba-265	231	5	and	and	CCONJ
faba-265	231	6	deep	deep	ADJ
faba-265	231	7	learning	learning	NOUN
faba-265	231	8	based	base	VERB
faba-265	231	9	portfolio	portfolio	NOUN
faba-265	231	10	optimization	optimization	NOUN
faba-265	231	11	.	.	PUNCT
faba-265	232	1	journal	journal	PROPN
faba-265	232	2	of	of	ADP
faba-265	232	3	mathematical	mathematical	ADJ
faba-265	232	4	finance	finance	NOUN
faba-265	232	5	,	,	PUNCT
faba-265	232	6	14(3	14(3	NUM
faba-265	232	7	):	):	PUNCT
faba-265	232	8	271	271	NUM
faba-265	232	9	-	-	SYM
faba-265	232	10	310	310	NUM
faba-265	232	11	.	.	PUNCT
faba-265	233	1	https://doi.org/10.4236/jmf.2024.143016	https://doi.org/10.4236/jmf.2024.143016	PROPN
faba-265	233	2	.	.	PUNCT
faba-265	234	1	durall	durall	PROPN
faba-265	234	2	,	,	PUNCT
faba-265	234	3	r.	r.	PROPN
faba-265	234	4	2022	2022	NUM
faba-265	234	5	.	.	PUNCT
faba-265	235	1	asset	asset	NOUN
faba-265	235	2	allocation	allocation	NOUN
faba-265	235	3	:	:	PUNCT
faba-265	235	4	from	from	ADP
faba-265	235	5	markowitz	markowitz	PROPN
faba-265	235	6	to	to	ADP
faba-265	235	7	deep	deep	ADJ
faba-265	235	8	reinforcement	reinforcement	NOUN
faba-265	235	9	learning	learning	NOUN
faba-265	235	10	(	(	PUNCT
faba-265	235	11	june	june	PROPN
faba-265	235	12	28	28	NUM
faba-265	235	13	,	,	PUNCT
faba-265	235	14	2022	2022	NUM
faba-265	235	15	)	)	PUNCT
faba-265	235	16	.	.	PUNCT
faba-265	236	1	available	available	ADJ
faba-265	236	2	at	at	ADP
faba-265	236	3	ssrn	ssrn	NOUN
faba-265	236	4	:	:	PUNCT
faba-265	236	5	https://ssrn.com/abstract=4148379	https://ssrn.com/abstract=4148379	VERB
faba-265	236	6	.	.	PUNCT
faba-265	237	1	espiga	espiga	ADJ
faba-265	237	2	-	-	PUNCT
faba-265	237	3	fernández	fernández	PROPN
faba-265	237	4	,	,	PUNCT
faba-265	237	5	f.	f.	PROPN
faba-265	237	6	,	,	PUNCT
faba-265	237	7	a.	a.	PROPN
faba-265	237	8	garcía	garcía	NOUN
faba-265	237	9	-	-	PUNCT
faba-265	237	10	sánchez	sánchez	NOUN
faba-265	237	11	,	,	PUNCT
faba-265	237	12	and	and	CCONJ
faba-265	237	13	j.	j.	PROPN
faba-265	237	14	ordieres	ordieres	PROPN
faba-265	237	15	-	-	PUNCT
faba-265	237	16	meré	meré	NOUN
faba-265	237	17	.	.	PUNCT
faba-265	237	18	2025	2025	NUM
faba-265	237	19	.	.	PUNCT
faba-265	238	1	gymfolio	gymfolio	NOUN
faba-265	238	2	:	:	PUNCT
faba-265	238	3	a	a	DET
faba-265	238	4	reinforcement	reinforcement	NOUN
faba-265	238	5	learning	learn	VERB
faba-265	238	6	environment	environment	NOUN
faba-265	238	7	for	for	ADP
faba-265	238	8	portfolio	portfolio	NOUN
faba-265	238	9	optimization	optimization	NOUN
faba-265	238	10	in	in	ADP
faba-265	238	11	python	python	PROPN
faba-265	238	12	.	.	PUNCT
faba-265	239	1	softwarex	softwarex	PROPN
faba-265	239	2	journal	journal	PROPN
faba-265	239	3	,	,	PUNCT
faba-265	239	4	30(2):1	30(2):1	PROPN
faba-265	239	5	-	-	SYM
faba-265	239	6	9	9	NUM
faba-265	239	7	,	,	PUNCT
faba-265	239	8	https://doi.org/10.1016/j.softx.2025.102106	https://doi.org/10.1016/j.softx.2025.102106	PROPN
faba-265	239	9	.	.	PUNCT
faba-265	240	1	heydarpour	heydarpour	PROPN
faba-265	240	2	,	,	PUNCT
faba-265	240	3	m.	m.	NOUN
faba-265	240	4	,	,	PUNCT
faba-265	240	5	h.	h.	PROPN
faba-265	240	6	ghanbari	ghanbari	PROPN
faba-265	240	7	,	,	PUNCT
faba-265	240	8	e.	e.	PROPN
faba-265	240	9	mohammadi	mohammadi	PROPN
faba-265	240	10	,	,	PUNCT
faba-265	240	11	and	and	CCONJ
faba-265	240	12	s.	s.	PROPN
faba-265	240	13	shavvalpour	shavvalpour	PROPN
faba-265	240	14	.	.	PUNCT
faba-265	241	1	2024	2024	NUM
faba-265	241	2	.	.	PUNCT
faba-265	242	1	robust	robust	ADJ
faba-265	242	2	portfolio	portfolio	NOUN
faba-265	242	3	optimization	optimization	NOUN
faba-265	242	4	using	use	VERB
faba-265	242	5	lstm	lstm	NOUN
faba-265	242	6	-	-	PUNCT
faba-265	242	7	based	base	VERB
faba-265	242	8	stock	stock	NOUN
faba-265	242	9	and	and	CCONJ
faba-265	242	10	cryptocurrency	cryptocurrency	NOUN
faba-265	242	11	price	price	NOUN
faba-265	242	12	prediction	prediction	NOUN
faba-265	242	13	:	:	PUNCT
faba-265	242	14	an	an	DET
faba-265	242	15	application	application	NOUN
faba-265	242	16	of	of	ADP
faba-265	242	17	algorithmic	algorithmic	ADJ
faba-265	242	18	trading	trading	NOUN
faba-265	242	19	strategies	strategy	NOUN
faba-265	242	20	;	;	PUNCT
faba-265	242	21	iranian	iranian	ADJ
faba-265	242	22	journal	journal	PROPN
faba-265	242	23	of	of	ADP
faba-265	242	24	accounting	accounting	NOUN
faba-265	242	25	,	,	PUNCT
faba-265	242	26	auditing	auditing	NOUN
faba-265	242	27	and	and	CCONJ
faba-265	242	28	finance	finance	NOUN
faba-265	242	29	,	,	PUNCT
faba-265	242	30	articles	article	NOUN
faba-265	242	31	in	in	ADP
faba-265	242	32	press	press	NOUN
faba-265	242	33	,	,	PUNCT
faba-265	242	34	accepted	accept	VERB
faba-265	242	35	manuscript	manuscript	NOUN
faba-265	242	36	,	,	PUNCT
faba-265	242	37	available	available	ADJ
faba-265	242	38	online	online	ADV
faba-265	242	39	from	from	ADP
faba-265	242	40	01	01	NUM
faba-265	242	41	december	december	PROPN
faba-265	242	42	2024	2024	NUM
faba-265	242	43	.	.	PUNCT
faba-265	243	1	https://ijaaf.um.ac.ir/article_46039.html	https://ijaaf.um.ac.ir/article_46039.html	PROPN
faba-265	243	2	.	.	PUNCT
faba-265	243	3	ibri	ibri	PROPN
faba-265	243	4	,	,	PUNCT
faba-265	243	5	s.	s.	PROPN
faba-265	243	6	,	,	PUNCT
faba-265	243	7	and	and	CCONJ
faba-265	243	8	m.	m.	NOUN
faba-265	243	9	slimane	slimane	PROPN
faba-265	243	10	.	.	PUNCT
faba-265	244	1	2022	2022	NUM
faba-265	244	2	.	.	PUNCT
faba-265	245	1	probability	probability	NOUN
faba-265	245	2	stochastic	stochastic	NOUN
faba-265	245	3	processes	process	NOUN
faba-265	245	4	and	and	CCONJ
faba-265	245	5	simulation	simulation	NOUN
faba-265	245	6	in	in	ADP
faba-265	245	7	python	python	PROPN
faba-265	245	8	.	.	PUNCT
faba-265	246	1	book	book	PROPN
faba-265	246	2	,	,	PUNCT
faba-265	246	3	algeria	algeria	PROPN
faba-265	246	4	.	.	PUNCT
faba-265	247	1	https://www.researchgate.net/publication/360767027	https://www.researchgate.net/publication/360767027	PROPN
faba-265	247	2	.	.	PUNCT
faba-265	248	1	junhuan	junhuan	PROPN
faba-265	248	2	,	,	PUNCT
faba-265	248	3	z.	z.	PROPN
faba-265	248	4	,	,	PUNCT
faba-265	248	5	c.	c.	PROPN
faba-265	248	6	kewei	kewei	PROPN
faba-265	248	7	,	,	PUNCT
faba-265	248	8	and	and	CCONJ
faba-265	248	9	w.	w.	PROPN
faba-265	248	10	jiaqi	jiaqi	PROPN
faba-265	248	11	.	.	PUNCT
faba-265	249	1	2024	2024	NUM
faba-265	249	2	.	.	PUNCT
faba-265	250	1	a	a	DET
faba-265	250	2	survey	survey	NOUN
faba-265	250	3	of	of	ADP
faba-265	250	4	deep	deep	ADJ
faba-265	250	5	learning	learning	NOUN
faba-265	250	6	applications	application	NOUN
faba-265	250	7	in	in	ADP
faba-265	250	8	cryptocurrency	cryptocurrency	NOUN
faba-265	250	9	.	.	PUNCT
faba-265	251	1	iscience	iscience	PROPN
faba-265	251	2	review	review	PROPN
faba-265	251	3	,	,	PUNCT
faba-265	251	4	27(1):1	27(1):1	PROPN
faba-265	251	5	-	-	SYM
faba-265	251	6	40	40	NUM
faba-265	251	7	,	,	PUNCT
faba-265	251	8	19	19	NUM
faba-265	251	9	january	january	PROPN
faba-265	251	10	,	,	PUNCT
faba-265	251	11	108509	108509	NUM
faba-265	251	12	,	,	PUNCT
faba-265	251	13	https://doi.org/10.1016/j.isci.2023.108509	https://doi.org/10.1016/j.isci.2023.108509	PROPN
faba-265	251	14	.	.	PUNCT
faba-265	252	1	ketkar	ketkar	PROPN
faba-265	252	2	,	,	PUNCT
faba-265	252	3	n.	n.	PROPN
faba-265	252	4	and	and	CCONJ
faba-265	252	5	j.	j.	PROPN
faba-265	252	6	moolayil	moolayil	PROPN
faba-265	252	7	.	.	PUNCT
faba-265	252	8	2021	2021	NUM
faba-265	252	9	.	.	PUNCT
faba-265	253	1	learning	learn	VERB
faba-265	253	2	with	with	ADP
faba-265	253	3	python	python	PROPN
faba-265	253	4	:	:	PUNCT
faba-265	253	5	learn	learn	VERB
faba-265	253	6	best	good	ADJ
faba-265	253	7	practices	practice	NOUN
faba-265	253	8	of	of	ADP
faba-265	253	9	deep	deep	ADJ
faba-265	253	10	learning	learning	NOUN
faba-265	253	11	models	model	NOUN
faba-265	253	12	with	with	ADP
faba-265	253	13	pytorch	pytorch	NOUN
faba-265	253	14	,	,	PUNCT
faba-265	253	15	bangalore	bangalore	NOUN
faba-265	253	16	,	,	PUNCT
faba-265	253	17	karnataka	karnataka	PROPN
faba-265	253	18	,	,	PUNCT
faba-265	253	19	india	india	PROPN
faba-265	253	20	.	.	PUNCT
faba-265	254	1	li	li	PROPN
faba-265	254	2	,	,	PUNCT
faba-265	254	3	h.	h.	PROPN
faba-265	254	4	,	,	PUNCT
faba-265	254	5	and	and	CCONJ
faba-265	254	6	t.	t.	PROPN
faba-265	254	7	liu	liu	PROPN
faba-265	254	8	.	.	PROPN
faba-265	255	1	2023	2023	NUM
faba-265	255	2	.	.	PUNCT
faba-265	256	1	portfolio	portfolio	NOUN
faba-265	256	2	optimization	optimization	NOUN
faba-265	256	3	based	base	VERB
faba-265	256	4	on	on	ADP
faba-265	256	5	the	the	DET
faba-265	256	6	lstm	lstm	PROPN
faba-265	256	7	forecasting	forecasting	NOUN
faba-265	256	8	model	model	NOUN
faba-265	256	9	.	.	PUNCT
faba-265	257	1	proceedings	proceeding	NOUN
faba-265	257	2	of	of	ADP
faba-265	257	3	the	the	DET
faba-265	257	4	2nd	2nd	ADJ
faba-265	257	5	international	international	ADJ
faba-265	257	6	conference	conference	NOUN
faba-265	257	7	on	on	ADP
faba-265	257	8	financial	financial	ADJ
faba-265	257	9	technology	technology	NOUN
faba-265	257	10	and	and	CCONJ
faba-265	257	11	business	business	NOUN
faba-265	257	12	analysis	analysis	NOUN
faba-265	257	13	,	,	PUNCT
faba-265	257	14	48(1	48(1	NOUN
faba-265	257	15	):	):	PUNCT
faba-265	257	16	97	97	NUM
faba-265	257	17	-	-	SYM
faba-265	257	18	106	106	NUM
faba-265	257	19	.	.	PUNCT
faba-265	258	1	https://doi.org/10.54254/2754-1169/48/20230431	https://doi.org/10.54254/2754-1169/48/20230431	PROPN
faba-265	258	2	.	.	PUNCT
faba-265	259	1	nafia	nafia	ADJ
faba-265	259	2	,	,	PUNCT
faba-265	259	3	a.	a.	NOUN
faba-265	259	4	,	,	PUNCT
faba-265	259	5	a.	a.	NOUN
faba-265	259	6	yousfi	yousfi	NOUN
faba-265	259	7	,	,	PUNCT
faba-265	259	8	and	and	CCONJ
faba-265	259	9	a.	a.	NOUN
faba-265	259	10	echaoui	echaoui	PROPN
faba-265	259	11	.	.	PUNCT
faba-265	260	1	2023	2023	NUM
faba-265	260	2	.	.	PUNCT
faba-265	260	3	equity	equity	NOUN
faba-265	260	4	-	-	PUNCT
faba-265	260	5	market	market	NOUN
faba-265	260	6	-	-	PUNCT
faba-265	260	7	neutral	neutral	ADJ
faba-265	260	8	strategy	strategy	NOUN
faba-265	260	9	portfolio	portfolio	NOUN
faba-265	260	10	construction	construction	NOUN
faba-265	260	11	using	use	VERB
faba-265	260	12	lstm	lstm	NOUN
faba-265	260	13	-	-	PUNCT
faba-265	260	14	based	base	VERB
faba-265	260	15	stock	stock	NOUN
faba-265	260	16	prediction	prediction	NOUN
faba-265	260	17	and	and	CCONJ
faba-265	260	18	selection	selection	NOUN
faba-265	260	19	:	:	PUNCT
faba-265	260	20	an	an	DET
faba-265	260	21	application	application	NOUN
faba-265	260	22	to	to	PART
faba-265	260	23	s&p500	s&p500	VERB
faba-265	260	24	consumer	consumer	NOUN
faba-265	260	25	staples	staple	NOUN
faba-265	260	26	stocks	stock	NOUN
faba-265	260	27	.	.	PUNCT
faba-265	261	1	international	international	ADJ
faba-265	261	2	journal	journal	PROPN
faba-265	261	3	of	of	ADP
faba-265	261	4	financial	financial	ADJ
faba-265	261	5	studies	study	NOUN
faba-265	261	6	,	,	PUNCT
faba-265	261	7	11(2	11(2	NUM
faba-265	261	8	):	):	PUNCT
faba-265	261	9	57	57	NUM
faba-265	261	10	.	.	PUNCT
faba-265	262	1	https://doi.org/10.3390/ijfs11020057	https://doi.org/10.3390/ijfs11020057	NOUN
faba-265	262	2	.	.	PUNCT
faba-265	263	1	prigent	prigent	ADJ
faba-265	263	2	,	,	PUNCT
faba-265	263	3	j.-l	j.-l	PROPN
faba-265	263	4	.	.	PUNCT
faba-265	264	1	2007	2007	NUM
faba-265	264	2	.	.	PUNCT
faba-265	265	1	portfolio	portfolio	NOUN
faba-265	265	2	optimization	optimization	NOUN
faba-265	265	3	and	and	CCONJ
faba-265	265	4	performance	performance	NOUN
faba-265	265	5	analysis	analysis	NOUN
faba-265	265	6	.	.	PUNCT
faba-265	266	1	book	book	NOUN
faba-265	266	2	,	,	PUNCT
faba-265	266	3	financial	financial	ADJ
faba-265	266	4	mathematics	mathematic	NOUN
faba-265	266	5	series	series	NOUN
faba-265	266	6	,	,	PUNCT
faba-265	266	7	chapman	chapman	PROPN
faba-265	266	8	&	&	CCONJ
faba-265	266	9	hall	hall	PROPN
faba-265	266	10	/	/	SYM
faba-265	266	11	crc	crc	PROPN
faba-265	266	12	is	be	AUX
faba-265	266	13	an	an	DET
faba-265	266	14	imprint	imprint	NOUN
faba-265	266	15	of	of	ADP
faba-265	266	16	taylor	taylor	PROPN
faba-265	266	17	&	&	CCONJ
faba-265	266	18	francis	francis	PROPN
faba-265	266	19	group	group	PROPN
faba-265	266	20	,	,	PUNCT
faba-265	266	21	u.s	u.s	PROPN
faba-265	266	22	,	,	PUNCT
faba-265	266	23	70	70	NUM
faba-265	266	24	-	-	SYM
faba-265	266	25	78	78	NUM
faba-265	266	26	.	.	PUNCT
faba-265	267	1	sebastian	sebastian	PROPN
faba-265	267	2	,	,	PUNCT
faba-265	267	3	a.	a.	NOUN
faba-265	267	4	,	,	PUNCT
faba-265	267	5	and	and	CCONJ
faba-265	267	6	v.	v.	ADP
faba-265	267	7	tantia	tantia	NUM
faba-265	267	8	.	.	PUNCT
faba-265	268	1	2024	2024	NUM
faba-265	268	2	.	.	PUNCT
faba-265	269	1	deep	deep	ADJ
faba-265	269	2	learning	learning	NOUN
faba-265	269	3	for	for	ADP
faba-265	269	4	stock	stock	NOUN
faba-265	269	5	price	price	NOUN
faba-265	269	6	prediction	prediction	NOUN
faba-265	269	7	and	and	CCONJ
faba-265	269	8	portfolio	portfolio	NOUN
faba-265	269	9	optimization	optimization	NOUN
faba-265	269	10	.	.	PUNCT
faba-265	270	1	international	international	ADJ
faba-265	270	2	journal	journal	NOUN
faba-265	270	3	of	of	ADP
faba-265	270	4	advanced	advanced	ADJ
faba-265	270	5	computer	computer	NOUN
faba-265	270	6	science	science	NOUN
faba-265	270	7	and	and	CCONJ
faba-265	270	8	applications	application	NOUN
faba-265	270	9	,	,	PUNCT
faba-265	270	10	15(9):926	15(9):926	PROPN
faba-265	270	11	-	-	SYM
faba-265	270	12	941	941	NUM
faba-265	270	13	.	.	PUNCT
faba-265	271	1	tamuly	tamuly	ADV
faba-265	271	2	,	,	PUNCT
faba-265	271	3	a.	a.	PROPN
faba-265	271	4	,	,	PUNCT
faba-265	271	5	g.	g.	PROPN
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faba-265	271	7	,	,	PUNCT
faba-265	271	8	and	and	CCONJ
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faba-265	271	10	.	.	PUNCT
faba-265	272	1	2024	2024	NUM
faba-265	272	2	.	.	PUNCT
faba-265	273	1	portfolio	portfolio	NOUN
faba-265	273	2	optimization	optimization	NOUN
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faba-265	273	4	deep	deep	ADJ
faba-265	273	5	reinforcement	reinforcement	NOUN
faba-265	273	6	learning	learning	NOUN
faba-265	273	7	.	.	PUNCT
faba-265	274	1	ieee	ieee	PROPN
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faba-265	274	8	(	(	PUNCT
faba-265	274	9	indiscon	indiscon	PROPN
faba-265	274	10	)	)	PUNCT
faba-265	274	11	,	,	PUNCT
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faba-265	274	13	,	,	PUNCT
faba-265	274	14	india	india	PROPN
faba-265	274	15	,	,	PUNCT
faba-265	274	16	1	1	NUM
faba-265	274	17	-	-	SYM
faba-265	274	18	6	6	NUM
faba-265	274	19	,	,	PUNCT
faba-265	274	20	doi	doi	NOUN
faba-265	274	21	:	:	PUNCT
faba-265	274	22	10.1109	10.1109	NUM
faba-265	274	23	/	/	SYM
faba-265	274	24	indiscon62179.2024.10744403	indiscon62179.2024.10744403	PROPN
faba-265	274	25	.	.	PUNCT
faba-265	274	26	xiong	xiong	PROPN
faba-265	274	27	,	,	PUNCT
faba-265	274	28	z.	z.	PROPN
faba-265	274	29	,	,	PUNCT
faba-265	274	30	m.	m.	PROPN
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faba-265	274	32	,	,	PUNCT
faba-265	274	33	and	and	CCONJ
faba-265	274	34	y.	y.	PROPN
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faba-265	274	37	2022	2022	NUM
faba-265	274	38	,	,	PUNCT
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faba-265	274	41	mpt	mpt	NOUN
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faba-265	274	44	portfolio	portfolio	NOUN
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faba-265	274	46	model	model	NOUN
faba-265	274	47	,	,	PUNCT
faba-265	274	48	international	international	ADJ
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faba-265	274	50	on	on	ADP
faba-265	274	51	intelligent	intelligent	ADJ
faba-265	274	52	robotics	robotic	NOUN
faba-265	274	53	and	and	CCONJ
faba-265	274	54	systems	system	NOUN
faba-265	274	55	(	(	PUNCT
faba-265	274	56	isoirs	isoirs	PROPN
faba-265	274	57	)	)	PUNCT
faba-265	274	58	,	,	PUNCT
faba-265	274	59	ieee	ieee	PROPN
faba-265	274	60	,	,	PUNCT
faba-265	274	61	china	china	PROPN
faba-265	274	62	,	,	PUNCT
faba-265	274	63	https://doi.org/10.1109/isoirs57349.2022.00035	https://doi.org/10.1109/isoirs57349.2022.00035	PROPN
faba-265	274	64	.	.	PUNCT
faba-265	275	1	xu	xu	PROPN
faba-265	275	2	,	,	PUNCT
faba-265	275	3	z.	z.	PROPN
faba-265	275	4	,	,	PUNCT
faba-265	275	5	x.	x.	PROPN
faba-265	275	6	zhang	zhang	PROPN
faba-265	275	7	,	,	PUNCT
faba-265	275	8	and	and	CCONJ
faba-265	275	9	z.	z.	PROPN
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faba-265	275	11	.	.	PUNCT
faba-265	276	1	2025	2025	NUM
faba-265	276	2	.	.	PUNCT
faba-265	277	1	cryptocurrency	cryptocurrency	NOUN
faba-265	277	2	portfolio	portfolio	NOUN
faba-265	277	3	optimisation	optimisation	NOUN
faba-265	277	4	based	base	VERB
faba-265	277	5	on	on	ADP
faba-265	277	6	lstm	lstm	PROPN
faba-265	277	7	time	time	PROPN
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faba-265	277	10	.	.	PUNCT
faba-265	278	1	applied	apply	VERB
faba-265	278	2	and	and	CCONJ
faba-265	278	3	computational	computational	ADJ
faba-265	278	4	engineering	engineering	NOUN
faba-265	278	5	,	,	PUNCT
faba-265	278	6	134(1):144	134(1):144	NUM
faba-265	278	7	-	-	SYM
faba-265	278	8	151	151	NUM
faba-265	278	9	,	,	PUNCT
faba-265	278	10	https://doi.org/10.54254/27552721/2025.22255	https://doi.org/10.54254/27552721/2025.22255	PROPN
faba-265	278	11	.	.	PUNCT
faba-265	279	1	yahoo	yahoo	PROPN
faba-265	279	2	.	.	PUNCT
faba-265	280	1	https://finance.yahoo.com/markets/crypto/all/	https://finance.yahoo.com/markets/crypto/all/	PROPN
faba-265	280	2	(	(	PUNCT
faba-265	280	3	15.05.2025	15.05.2025	PROPN
faba-265	280	4	)	)	PUNCT
faba-265	280	5	.	.	PUNCT
faba-265	281	1	yifu	yifu	PROPN
faba-265	281	2	,	,	PUNCT
faba-265	281	3	j.	j.	PROPN
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faba-265	281	5	j.	j.	PROPN
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faba-265	281	7	,	,	PUNCT
faba-265	281	8	and	and	CCONJ
faba-265	281	9	m.	m.	NOUN
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faba-265	281	11	.	.	PUNCT
faba-265	282	1	2024	2024	NUM
faba-265	282	2	.	.	PUNCT
faba-265	283	1	deep	deep	ADJ
faba-265	283	2	reinforcement	reinforcement	NOUN
faba-265	283	3	learning	learning	NOUN
faba-265	283	4	for	for	ADP
faba-265	283	5	portfolio	portfolio	NOUN
faba-265	283	6	selection	selection	NOUN
faba-265	283	7	.	.	PUNCT
faba-265	284	1	global	global	ADJ
faba-265	284	2	finance	finance	PROPN
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faba-265	284	4	,	,	PUNCT
faba-265	284	5	62(4	62(4	NUM
faba-265	284	6	):	):	PUNCT
faba-265	284	7	01	01	NUM
faba-265	284	8	-	-	SYM
faba-265	284	9	15	15	NUM
faba-265	284	10	,	,	PUNCT
faba-265	284	11	https://doi.org/10.1016/j.gfj.2024.101016	https://doi.org/10.1016/j.gfj.2024.101016	PROPN
faba-265	284	12	.	.	PUNCT
faba-265	284	13	yu	yu	PROPN
faba-265	284	14	,	,	PUNCT
faba-265	284	15	m.	m.	NOUN
faba-265	284	16	2023	2023	NUM
faba-265	284	17	.	.	PUNCT
faba-265	285	1	mean	mean	ADJ
faba-265	285	2	-	-	PUNCT
faba-265	285	3	variance	variance	NOUN
faba-265	285	4	portfolio	portfolio	NOUN
faba-265	285	5	optimization	optimization	NOUN
faba-265	285	6	by	by	ADP
faba-265	285	7	lstm	lstm	NOUN
faba-265	285	8	-	-	PUNCT
faba-265	285	9	based	base	VERB
faba-265	285	10	predictions	prediction	NOUN
faba-265	285	11	.	.	PUNCT
faba-265	286	1	advances	advance	NOUN
faba-265	286	2	in	in	ADP
faba-265	286	3	economics	economics	NOUN
faba-265	286	4	management	management	NOUN
faba-265	286	5	and	and	CCONJ
faba-265	286	6	political	political	ADJ
faba-265	286	7	sciences	science	NOUN
faba-265	286	8	,	,	PUNCT
faba-265	286	9	61(1):102	61(1):102	NOUN
faba-265	286	10	-	-	SYM
faba-265	286	11	109	109	NUM
faba-265	286	12	.	.	PUNCT
faba-265	287	1	https://doi.org/10.54254/2754-1169/61/20231061	https://doi.org/10.54254/2754-1169/61/20231061	PROPN
faba-265	287	2	.	.	PUNCT
faba-265	288	1	zaki	zaki	PROPN
faba-265	288	2	,	,	PUNCT
faba-265	288	3	s.	s.	PROPN
faba-265	288	4	2021	2021	NUM
faba-265	288	5	.	.	PUNCT
faba-265	289	1	a	a	DET
faba-265	289	2	deep	deep	ADJ
faba-265	289	3	learning	learning	NOUN
faba-265	289	4	portfolio	portfolio	NOUN
faba-265	289	5	optimization	optimization	NOUN
faba-265	289	6	framework	framework	NOUN
faba-265	289	7	using	use	VERB
faba-265	289	8	cryptocurrencies	cryptocurrencie	NOUN
faba-265	289	9	.	.	PUNCT
faba-265	290	1	master	master	NOUN
faba-265	290	2	thesis	thesis	NOUN
faba-265	290	3	,	,	PUNCT
faba-265	290	4	school	school	NOUN
faba-265	290	5	of	of	ADP
faba-265	290	6	science	science	PROPN
faba-265	290	7	&	&	CCONJ
faba-265	290	8	engineering	engineering	PROPN
faba-265	290	9	–	–	PUNCT
faba-265	290	10	al	al	PROPN
faba-265	290	11	akhawayn	akhawayn	PROPN
faba-265	290	12	university	university	PROPN
faba-265	290	13	,	,	PUNCT
faba-265	290	14	morocco	morocco	PROPN
faba-265	290	15	.	.	PUNCT
faba-265	291	1	zeroual	zeroual	PROPN
faba-265	291	2	,	,	PUNCT
faba-265	291	3	a.	a.	PROPN
faba-265	291	4	,	,	PUNCT
faba-265	291	5	f.	f.	PROPN
faba-265	291	6	harrou	harrou	PROPN
faba-265	291	7	,	,	PUNCT
faba-265	291	8	a.	a.	PROPN
faba-265	291	9	dair	dair	PROPN
faba-265	291	10	,	,	PUNCT
faba-265	291	11	and	and	CCONJ
faba-265	291	12	y.	y.	PROPN
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faba-265	291	14	.	.	PUNCT
faba-265	292	1	2020	2020	NUM
faba-265	292	2	.	.	PUNCT
faba-265	293	1	deep	deep	ADJ
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faba-265	293	7	time	time	NOUN
faba-265	293	8	-	-	PUNCT
faba-265	293	9	series	series	NOUN
faba-265	293	10	data	datum	NOUN
faba-265	293	11	:	:	PUNCT
faba-265	293	12	a	a	DET
faba-265	293	13	comparative	comparative	ADJ
faba-265	293	14	study	study	NOUN
faba-265	293	15	.	.	PUNCT
faba-265	294	1	chaos	chaos	NOUN
faba-265	294	2	,	,	PUNCT
faba-265	294	3	solitons	soliton	NOUN
faba-265	294	4	&	&	CCONJ
faba-265	294	5	fractals	fractal	NOUN
faba-265	294	6	,	,	PUNCT
faba-265	294	7	140	140	NUM
faba-265	294	8	:	:	SYM
faba-265	294	9	110121	110121	NUM
faba-265	294	10	.	.	PUNCT
faba-265	295	1	doi	doi	NOUN
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faba-265	295	4	/	/	SYM
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faba-265	295	6	.	.	PUNCT
faba-265	296	1	zhang	zhang	PROPN
faba-265	296	2	,	,	PUNCT
faba-265	296	3	y.	y.	PROPN
faba-265	296	4	,	,	PUNCT
faba-265	296	5	s.	s.	PROPN
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faba-265	296	7	,	,	PUNCT
faba-265	296	8	l.	l.	PROPN
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faba-265	296	10	and	and	CCONJ
faba-265	296	11	y.	y.	PROPN
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faba-265	296	13	.	.	PUNCT
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faba-265	297	2	.	.	PUNCT
faba-265	298	1	portfolio	portfolio	NOUN
faba-265	298	2	optimization	optimization	NOUN
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faba-265	298	5	-	-	PUNCT
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faba-265	298	11	.	.	PUNCT
faba-265	299	1	available	available	ADJ
faba-265	299	2	at	at	ADP
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faba-265	299	4	:	:	PUNCT
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faba-265	299	8	.	.	PUNCT
faba-265	300	1	zhang	zhang	PROPN
faba-265	300	2	,	,	PUNCT
faba-265	300	3	z.	z.	PROPN
faba-265	300	4	,	,	PUNCT
faba-265	300	5	s.	s.	PROPN
faba-265	300	6	zohren	zohren	PROPN
faba-265	300	7	,	,	PUNCT
faba-265	300	8	and	and	CCONJ
faba-265	300	9	s.	s.	PROPN
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faba-265	300	11	.	.	PUNCT
faba-265	300	12	2020	2020	NUM
faba-265	300	13	.	.	PUNCT
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faba-265	301	4	portfolio	portfolio	NOUN
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faba-265	301	6	.	.	PUNCT
faba-265	302	1	the	the	DET
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faba-265	302	7	,	,	PUNCT
faba-265	302	8	2(4	2(4	NUM
faba-265	302	9	):	):	PUNCT
faba-265	302	10	8	8	NUM
faba-265	302	11	-	-	SYM
faba-265	302	12	20	20	NUM
faba-265	302	13	.	.	PUNCT
faba-265	303	1	https://doi.org/10.3905/jfds.2020.1.042	https://doi.org/10.3905/jfds.2020.1.042	PROPN
faba-265	303	2	.	.	PUNCT
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faba-265	304	11	https://www.sciencedirect.com/journal/iscience/vol/27/issue/1	https://www.sciencedirect.com/journal/iscience/vol/27/issue/1	PROPN
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faba-265	304	17	https://ieeexplore.ieee.org/xpl/conhome/10196672/proceeding	https://ieeexplore.ieee.org/xpl/conhome/10196672/proceede	VERB
faba-265	304	18	https://doi.org/10.1109/isoirs57349.2022.00035	https://doi.org/10.1109/isoirs57349.2022.00035	PROPN
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faba-265	304	20	http://dx.doi.org/10.54254/2755-2721/2025.22255	http://dx.doi.org/10.54254/2755-2721/2025.22255	NOUN
faba-265	304	21	https://www.sciencedirect.com/journal/global-finance-journal	https://www.sciencedirect.com/journal/global-finance-journal	PROPN
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faba-265	311	3	in	in	ADP
faba-265	311	4	finance	finance	NOUN
faba-265	311	5	and	and	CCONJ
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faba-265	311	7	,	,	PUNCT
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faba-265	311	9	):	):	PUNCT
faba-265	311	10	267	267	NUM
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faba-265	311	13	.	.	PUNCT
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faba-265	313	4	98	98	NUM
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faba-265	313	6	1	1	NUM
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faba-265	313	32	of	of	ADP
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faba-265	313	34	correlations	correlation	NOUN
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