id sid tid token lemma pos cana-3696 1 1 indonesian indonesian ADJ cana-3696 1 2 journal journal PROPN cana-3696 1 3 of of ADP cana-3696 1 4 electrical electrical ADJ cana-3696 1 5 engineering engineering NOUN cana-3696 1 6 and and CCONJ cana-3696 1 7 computer computer NOUN cana-3696 1 8 science science NOUN cana-3696 1 9 communications communication NOUN cana-3696 1 10 on on ADP cana-3696 1 11 applied apply VERB cana-3696 1 12 nonlinear nonlinear ADJ cana-3696 1 13 analysis analysis NOUN cana-3696 1 14 issn issn NOUN cana-3696 1 15 : : PUNCT cana-3696 1 16 1074 1074 NUM cana-3696 1 17 - - PUNCT cana-3696 1 18 133x 133x NUM cana-3696 1 19 vol vol NOUN cana-3696 1 20 32 32 NUM cana-3696 1 21 no no NOUN cana-3696 1 22 . . PUNCT cana-3696 2 1 8s 8s PROPN cana-3696 2 2 ( ( PUNCT cana-3696 2 3 2025 2025 NUM cana-3696 2 4 ) ) PUNCT cana-3696 2 5 484 484 NUM cana-3696 2 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 2 7 a a DET cana-3696 2 8 deep deep ADJ cana-3696 2 9 neural neural ADJ cana-3696 2 10 network network NOUN cana-3696 2 11 model model NOUN cana-3696 2 12 for for ADP cana-3696 2 13 forecasting forecast VERB cana-3696 2 14 variable variable ADJ cana-3696 2 15 stock stock NOUN cana-3696 2 16 movement movement NOUN cana-3696 2 17 intervals interval NOUN cana-3696 2 18 dinesh dinesh PROPN cana-3696 2 19 singh singh PROPN cana-3696 2 20 dhakar1 dhakar1 PROPN cana-3696 2 21 , , PUNCT cana-3696 2 22 jagmeet jagmeet PROPN cana-3696 2 23 kaur2 kaur2 PROPN cana-3696 2 24 , , PUNCT cana-3696 2 25 kiranjeet kiranjeet PROPN cana-3696 2 26 kaur3 kaur3 PROPN cana-3696 2 27 , , PUNCT cana-3696 2 28 bharti bharti PROPN cana-3696 2 29 kaushik4 kaushik4 PROPN cana-3696 2 30 department department PROPN cana-3696 2 31 computer computer NOUN cana-3696 2 32 science science NOUN cana-3696 2 33 and and CCONJ cana-3696 2 34 engineering1,2,3,4 engineering1,2,3,4 ADJ cana-3696 2 35 chandigarh chandigarh PROPN cana-3696 2 36 university university NOUN cana-3696 2 37 , , PUNCT cana-3696 2 38 mohali mohali PROPN cana-3696 2 39 , , PUNCT cana-3696 2 40 india1,2,3,4 india1,2,3,4 ADJ cana-3696 2 41 . . PUNCT cana-3696 3 1 dineshhodcsemit@gmail.com1 dineshhodcsemit@gmail.com1 PROPN cana-3696 3 2 , , PUNCT cana-3696 3 3 jagmeet.bhangu03@gmail.com2 jagmeet.bhangu03@gmail.com2 PROPN cana-3696 3 4 , , PUNCT cana-3696 3 5 kiranresearch.phd@gmail.com3 kiranresearch.phd@gmail.com3 NOUN cana-3696 3 6 , , PUNCT cana-3696 3 7 kaushikbharti.bk@gmail.com4 kaushikbharti.bk@gmail.com4 ADJ cana-3696 3 8 article article NOUN cana-3696 3 9 history history NOUN cana-3696 3 10 : : PUNCT cana-3696 3 11 received receive VERB cana-3696 3 12 : : PUNCT cana-3696 3 13 01 01 NUM cana-3696 3 14 - - SYM cana-3696 3 15 11 11 NUM cana-3696 3 16 - - PUNCT cana-3696 3 17 2024 2024 NUM cana-3696 3 18 revised:08 revised:08 NOUN cana-3696 3 19 - - PUNCT cana-3696 3 20 12 12 NUM cana-3696 3 21 - - PUNCT cana-3696 3 22 2024 2024 NUM cana-3696 3 23 accepted:29 accepted:29 ADP cana-3696 3 24 - - PUNCT cana-3696 3 25 12 12 NUM cana-3696 3 26 - - PUNCT cana-3696 3 27 2024 2024 NUM cana-3696 3 28 abstract abstract NOUN cana-3696 3 29 : : PUNCT cana-3696 3 30 forecasting forecasting NOUN cana-3696 3 31 results result NOUN cana-3696 3 32 for for ADP cana-3696 3 33 stock stock NOUN cana-3696 3 34 markets market NOUN cana-3696 3 35 exhibit exhibit VERB cana-3696 3 36 variabilities variability NOUN cana-3696 3 37 in in ADP cana-3696 3 38 forecasting forecasting NOUN cana-3696 3 39 accuracy accuracy NOUN cana-3696 3 40 as as SCONJ cana-3696 3 41 the the DET cana-3696 3 42 tenure tenure NOUN cana-3696 3 43 of of ADP cana-3696 3 44 prediction prediction NOUN cana-3696 3 45 is be AUX cana-3696 3 46 varied varied ADJ cana-3696 3 47 . . PUNCT cana-3696 4 1 typically typically ADV cana-3696 4 2 stocks stock NOUN cana-3696 4 3 are be AUX cana-3696 4 4 predicted predict VERB cana-3696 4 5 for for ADP cana-3696 4 6 long long ADJ cana-3696 4 7 , , PUNCT cana-3696 4 8 short short ADJ cana-3696 4 9 as as ADV cana-3696 4 10 well well ADV cana-3696 4 11 as as ADP cana-3696 4 12 mid mid ADJ cana-3696 4 13 term term NOUN cana-3696 4 14 tenures tenure NOUN cana-3696 4 15 based base VERB cana-3696 4 16 on on ADP cana-3696 4 17 the the DET cana-3696 4 18 tenure tenure NOUN cana-3696 4 19 of of ADP cana-3696 4 20 prediction prediction NOUN cana-3696 4 21 . . PUNCT cana-3696 5 1 while while SCONJ cana-3696 5 2 longer long ADJ cana-3696 5 3 tenures tenure NOUN cana-3696 5 4 have have VERB cana-3696 5 5 relatively relatively ADV cana-3696 5 6 much much ADV cana-3696 5 7 larger large ADJ cana-3696 5 8 data datum NOUN cana-3696 5 9 to to PART cana-3696 5 10 be be AUX cana-3696 5 11 trained train VERB cana-3696 5 12 as as ADP cana-3696 5 13 training training NOUN cana-3696 5 14 data datum NOUN cana-3696 5 15 , , PUNCT cana-3696 5 16 divergences divergence NOUN cana-3696 5 17 are be AUX cana-3696 5 18 also also ADV cana-3696 5 19 potentially potentially ADV cana-3696 5 20 large large ADJ cana-3696 5 21 as as SCONJ cana-3696 5 22 the the DET cana-3696 5 23 forecasting forecasting NOUN cana-3696 5 24 period period NOUN cana-3696 5 25 may may AUX cana-3696 5 26 render render VERB cana-3696 5 27 higher high ADJ cana-3696 5 28 randomness randomness NOUN cana-3696 5 29 due due ADP cana-3696 5 30 to to ADP cana-3696 5 31 unprecedented unprecedented ADJ cana-3696 5 32 events event NOUN cana-3696 5 33 . . PUNCT cana-3696 6 1 the the DET cana-3696 6 2 short short ADJ cana-3696 6 3 term term NOUN cana-3696 6 4 forecasting forecasting NOUN cana-3696 6 5 is be AUX cana-3696 6 6 relatively relatively ADV cana-3696 6 7 less less ADV cana-3696 6 8 prone prone ADJ cana-3696 6 9 to to ADP cana-3696 6 10 unprecedented unprecedented ADJ cana-3696 6 11 events event NOUN cana-3696 6 12 due due ADP cana-3696 6 13 to to ADP cana-3696 6 14 the the DET cana-3696 6 15 tenure tenure NOUN cana-3696 6 16 of of ADP cana-3696 6 17 forecasting forecasting NOUN cana-3696 6 18 . . PUNCT cana-3696 7 1 however however ADV cana-3696 7 2 , , PUNCT cana-3696 7 3 the the DET cana-3696 7 4 lesser less ADJ cana-3696 7 5 amount amount NOUN cana-3696 7 6 of of ADP cana-3696 7 7 training training NOUN cana-3696 7 8 data datum NOUN cana-3696 7 9 may may AUX cana-3696 7 10 result result VERB cana-3696 7 11 in in ADP cana-3696 7 12 less less ADV cana-3696 7 13 accurate accurate ADJ cana-3696 7 14 pattern pattern NOUN cana-3696 7 15 recognition recognition NOUN cana-3696 7 16 . . PUNCT cana-3696 8 1 a a DET cana-3696 8 2 common common ADJ cana-3696 8 3 ground ground NOUN cana-3696 8 4 is be AUX cana-3696 8 5 typically typically ADV cana-3696 8 6 found find VERB cana-3696 8 7 in in ADP cana-3696 8 8 terms term NOUN cana-3696 8 9 of of ADP cana-3696 8 10 mid mid ADJ cana-3696 8 11 term term NOUN cana-3696 8 12 forecasting forecasting NOUN cana-3696 8 13 . . PUNCT cana-3696 9 1 this this DET cana-3696 9 2 paper paper NOUN cana-3696 9 3 presents present VERB cana-3696 9 4 an an DET cana-3696 9 5 experimental experimental ADJ cana-3696 9 6 evaluation evaluation NOUN cana-3696 9 7 of of ADP cana-3696 9 8 all all DET cana-3696 9 9 three three NUM cana-3696 9 10 formats format NOUN cana-3696 9 11 of of ADP cana-3696 9 12 forecasting forecasting NOUN cana-3696 9 13 based base VERB cana-3696 9 14 on on ADP cana-3696 9 15 the the DET cana-3696 9 16 training training NOUN cana-3696 9 17 , , PUNCT cana-3696 9 18 testing testing NOUN cana-3696 9 19 split split NOUN cana-3696 9 20 . . PUNCT cana-3696 10 1 the the DET cana-3696 10 2 deep deep ADJ cana-3696 10 3 neural neural ADJ cana-3696 10 4 network network NOUN cana-3696 10 5 model model NOUN cana-3696 10 6 is be AUX cana-3696 10 7 used use VERB cana-3696 10 8 for for ADP cana-3696 10 9 the the DET cana-3696 10 10 forecasting forecasting NOUN cana-3696 10 11 purpose purpose NOUN cana-3696 10 12 and and CCONJ cana-3696 10 13 the the DET cana-3696 10 14 forecasting forecasting NOUN cana-3696 10 15 mape mape NOUN cana-3696 10 16 and and CCONJ cana-3696 10 17 accuracy accuracy NOUN cana-3696 10 18 has have AUX cana-3696 10 19 been be AUX cana-3696 10 20 tabulated tabulate VERB cana-3696 10 21 for for ADP cana-3696 10 22 a a DET cana-3696 10 23 multitude multitude NOUN cana-3696 10 24 of of ADP cana-3696 10 25 stocks stock NOUN cana-3696 10 26 . . PUNCT cana-3696 11 1 it it PRON cana-3696 11 2 has have AUX cana-3696 11 3 been be AUX cana-3696 11 4 shown show VERB cana-3696 11 5 that that SCONJ cana-3696 11 6 the the DET cana-3696 11 7 proposed propose VERB cana-3696 11 8 approach approach NOUN cana-3696 11 9 attains attain VERB cana-3696 11 10 an an DET cana-3696 11 11 mape mape NOUN cana-3696 11 12 of of ADP cana-3696 11 13 only only ADV cana-3696 11 14 2.18 2.18 NUM cana-3696 11 15 % % NOUN cana-3696 11 16 outperforming outperform VERB cana-3696 11 17 existing exist VERB cana-3696 11 18 work work NOUN cana-3696 11 19 in in ADP cana-3696 11 20 the the DET cana-3696 11 21 domain domain NOUN cana-3696 11 22 . . PUNCT cana-3696 12 1 keywords keyword NOUN cana-3696 12 2 : : PUNCT cana-3696 12 3 stock stock NOUN cana-3696 12 4 market market NOUN cana-3696 12 5 forecasting forecasting NOUN cana-3696 12 6 , , PUNCT cana-3696 12 7 deep deep ADJ cana-3696 12 8 neural neural ADJ cana-3696 12 9 networks network NOUN cana-3696 12 10 , , PUNCT cana-3696 12 11 variable variable ADJ cana-3696 12 12 forecasting forecasting NOUN cana-3696 12 13 tenures tenure NOUN cana-3696 12 14 , , PUNCT cana-3696 12 15 forecasting forecasting NOUN cana-3696 12 16 mape mape NOUN cana-3696 12 17 , , PUNCT cana-3696 12 18 forecasting forecasting NOUN cana-3696 12 19 accuracy accuracy NOUN cana-3696 12 20 . . PUNCT cana-3696 13 1 i. i. PROPN cana-3696 13 2 introduction introduction PROPN cana-3696 13 3 stock stock PROPN cana-3696 13 4 movement movement PROPN cana-3696 13 5 forecasting forecasting NOUN cana-3696 13 6 is be AUX cana-3696 13 7 a a DET cana-3696 13 8 crucial crucial ADJ cana-3696 13 9 aspect aspect NOUN cana-3696 13 10 of of ADP cana-3696 13 11 financial financial ADJ cana-3696 13 12 markets market NOUN cana-3696 13 13 and and CCONJ cana-3696 13 14 investment investment NOUN cana-3696 13 15 decision decision NOUN cana-3696 13 16 - - PUNCT cana-3696 13 17 making making NOUN cana-3696 13 18 . . PUNCT cana-3696 14 1 several several ADJ cana-3696 14 2 factors factor NOUN cana-3696 14 3 contribute contribute VERB cana-3696 14 4 to to ADP cana-3696 14 5 the the DET cana-3696 14 6 necessity necessity NOUN cana-3696 14 7 and and CCONJ cana-3696 14 8 importance importance NOUN cana-3696 14 9 of of ADP cana-3696 14 10 predicting predict VERB cana-3696 14 11 stock stock NOUN cana-3696 14 12 movements movement NOUN cana-3696 14 13 . . PUNCT cana-3696 15 1 typically typically ADV cana-3696 15 2 , , PUNCT cana-3696 15 3 financial financial ADJ cana-3696 15 4 markets market NOUN cana-3696 15 5 are be AUX cana-3696 15 6 inherently inherently ADV cana-3696 15 7 volatile volatile ADJ cana-3696 15 8 , , PUNCT cana-3696 15 9 influenced influence VERB cana-3696 15 10 by by ADP cana-3696 15 11 a a DET cana-3696 15 12 myriad myriad NOUN cana-3696 15 13 of of ADP cana-3696 15 14 factors factor NOUN cana-3696 15 15 such such ADJ cana-3696 15 16 as as ADP cana-3696 15 17 economic economic ADJ cana-3696 15 18 indicators indicator NOUN cana-3696 15 19 , , PUNCT cana-3696 15 20 geopolitical geopolitical ADJ cana-3696 15 21 events event NOUN cana-3696 15 22 , , PUNCT cana-3696 15 23 and and CCONJ cana-3696 15 24 market market NOUN cana-3696 15 25 sentiment sentiment NOUN cana-3696 15 26 [ [ X cana-3696 15 27 1 1 NUM cana-3696 15 28 ] ] PUNCT cana-3696 15 29 . . PUNCT cana-3696 16 1 forecasting forecast VERB cana-3696 16 2 stock stock NOUN cana-3696 16 3 movements movement NOUN cana-3696 16 4 helps help VERB cana-3696 16 5 investors investor NOUN cana-3696 16 6 and and CCONJ cana-3696 16 7 traders trader NOUN cana-3696 16 8 navigate navigate VERB cana-3696 16 9 through through ADP cana-3696 16 10 this this DET cana-3696 16 11 uncertainty uncertainty NOUN cana-3696 16 12 , , PUNCT cana-3696 16 13 allowing allow VERB cana-3696 16 14 them they PRON cana-3696 16 15 to to PART cana-3696 16 16 make make VERB cana-3696 16 17 informed informed ADJ cana-3696 16 18 decisions decision NOUN cana-3696 16 19 and and CCONJ cana-3696 16 20 mitigate mitigate VERB cana-3696 16 21 potential potential ADJ cana-3696 16 22 risks risk NOUN cana-3696 16 23 . . PUNCT cana-3696 17 1 accurate accurate ADJ cana-3696 17 2 stock stock NOUN cana-3696 17 3 movement movement NOUN cana-3696 17 4 forecasts forecast NOUN cana-3696 17 5 are be AUX cana-3696 17 6 essential essential ADJ cana-3696 17 7 for for ADP cana-3696 17 8 effective effective ADJ cana-3696 17 9 risk risk NOUN cana-3696 17 10 management management NOUN cana-3696 17 11 . . PUNCT cana-3696 18 1 investors investor NOUN cana-3696 18 2 need need VERB cana-3696 18 3 to to PART cana-3696 18 4 anticipate anticipate VERB cana-3696 18 5 potential potential ADJ cana-3696 18 6 price price NOUN cana-3696 18 7 fluctuations fluctuation NOUN cana-3696 18 8 to to PART cana-3696 18 9 implement implement VERB cana-3696 18 10 strategies strategy NOUN cana-3696 18 11 that that PRON cana-3696 18 12 protect protect VERB cana-3696 18 13 their their PRON cana-3696 18 14 portfolios portfolio NOUN cana-3696 18 15 from from ADP cana-3696 18 16 adverse adverse ADJ cana-3696 18 17 market market NOUN cana-3696 18 18 conditions condition NOUN cana-3696 18 19 [ [ X cana-3696 18 20 2 2 NUM cana-3696 18 21 ] ] PUNCT cana-3696 18 22 . . PUNCT cana-3696 19 1 by by ADP cana-3696 19 2 understanding understand VERB cana-3696 19 3 the the DET cana-3696 19 4 potential potential ADJ cana-3696 19 5 risks risk NOUN cana-3696 19 6 , , PUNCT cana-3696 19 7 investors investor NOUN cana-3696 19 8 can can AUX cana-3696 19 9 make make VERB cana-3696 19 10 better well ADV cana-3696 19 11 - - PUNCT cana-3696 19 12 informed inform VERB cana-3696 19 13 decisions decision NOUN cana-3696 19 14 about about ADP cana-3696 19 15 portfolio portfolio NOUN cana-3696 19 16 diversification diversification NOUN cana-3696 19 17 and and CCONJ cana-3696 19 18 asset asset NOUN cana-3696 19 19 allocation allocation NOUN cana-3696 19 20 . . PUNCT cana-3696 20 1 investors investor NOUN cana-3696 20 2 rely rely VERB cana-3696 20 3 on on ADP cana-3696 20 4 stock stock NOUN cana-3696 20 5 forecasts forecast NOUN cana-3696 20 6 to to PART cana-3696 20 7 make make VERB cana-3696 20 8 strategic strategic ADJ cana-3696 20 9 investment investment NOUN cana-3696 20 10 decisions decision NOUN cana-3696 20 11 [ [ X cana-3696 20 12 3 3 NUM cana-3696 20 13 ] ] PUNCT cana-3696 20 14 . . PUNCT cana-3696 21 1 whether whether SCONJ cana-3696 21 2 it it PRON cana-3696 21 3 's be AUX cana-3696 21 4 choosing choose VERB cana-3696 21 5 when when SCONJ cana-3696 21 6 to to PART cana-3696 21 7 buy buy VERB cana-3696 21 8 or or CCONJ cana-3696 21 9 sell sell VERB cana-3696 21 10 a a DET cana-3696 21 11 stock stock NOUN cana-3696 21 12 , , PUNCT cana-3696 21 13 enter enter VERB cana-3696 21 14 or or CCONJ cana-3696 21 15 exit exit VERB cana-3696 21 16 a a DET cana-3696 21 17 market market NOUN cana-3696 21 18 , , PUNCT cana-3696 21 19 or or CCONJ cana-3696 21 20 adjust adjust VERB cana-3696 21 21 portfolio portfolio NOUN cana-3696 21 22 holdings holding NOUN cana-3696 21 23 , , PUNCT cana-3696 21 24 accurate accurate ADJ cana-3696 21 25 predictions prediction NOUN cana-3696 21 26 enable enable VERB cana-3696 21 27 investors investor NOUN cana-3696 21 28 to to PART cana-3696 21 29 capitalize capitalize VERB cana-3696 21 30 on on ADP cana-3696 21 31 opportunities opportunity NOUN cana-3696 21 32 and and CCONJ cana-3696 21 33 avoid avoid VERB cana-3696 21 34 losses loss NOUN cana-3696 21 35 . . PUNCT cana-3696 22 1 timely timely ADJ cana-3696 22 2 and and CCONJ cana-3696 22 3 precise precise ADJ cana-3696 22 4 information information NOUN cana-3696 22 5 is be AUX cana-3696 22 6 critical critical ADJ cana-3696 22 7 for for ADP cana-3696 22 8 optimizing optimize VERB cana-3696 22 9 investment investment NOUN cana-3696 22 10 strategies strategy NOUN cana-3696 22 11 [ [ X cana-3696 22 12 4 4 NUM cana-3696 22 13 ] ] PUNCT cana-3696 22 14 . . PUNCT cana-3696 23 1 forecasting forecast VERB cana-3696 23 2 stock stock NOUN cana-3696 23 3 movements movement NOUN cana-3696 23 4 aids aid NOUN cana-3696 23 5 in in ADP cana-3696 23 6 optimizing optimize VERB cana-3696 23 7 investment investment NOUN cana-3696 23 8 portfolios portfolio NOUN cana-3696 23 9 . . PUNCT cana-3696 24 1 by by ADP cana-3696 24 2 identifying identify VERB cana-3696 24 3 trends trend NOUN cana-3696 24 4 and and CCONJ cana-3696 24 5 correlations correlation NOUN cana-3696 24 6 , , PUNCT cana-3696 24 7 investors investor NOUN cana-3696 24 8 can can AUX cana-3696 24 9 adjust adjust VERB cana-3696 24 10 their their PRON cana-3696 24 11 portfolio portfolio NOUN cana-3696 24 12 mix mix NOUN cana-3696 24 13 to to PART cana-3696 24 14 achieve achieve VERB cana-3696 24 15 a a DET cana-3696 24 16 balance balance NOUN cana-3696 24 17 between between ADP cana-3696 24 18 risk risk NOUN cana-3696 24 19 and and CCONJ cana-3696 24 20 return return NOUN cana-3696 24 21 . . PUNCT cana-3696 25 1 this this DET cana-3696 25 2 optimization optimization NOUN cana-3696 25 3 process process NOUN cana-3696 25 4 involves involve VERB cana-3696 25 5 considering consider VERB cana-3696 25 6 factors factor NOUN cana-3696 25 7 mailto mailto PROPN cana-3696 25 8 : : PUNCT cana-3696 25 9 dineshhodcsemit@gmail.com1 dineshhodcsemit@gmail.com1 PROPN cana-3696 25 10 mailto mailto PROPN cana-3696 25 11 : : PUNCT cana-3696 25 12 jagmeet.bhangu03@gmail.com2 jagmeet.bhangu03@gmail.com2 PROPN cana-3696 25 13 mailto mailto PROPN cana-3696 25 14 : : PUNCT cana-3696 25 15 kiranresearch.phd@gmail.com3 kiranresearch.phd@gmail.com3 NOUN cana-3696 25 16 mailto mailto PROPN cana-3696 25 17 : : PUNCT cana-3696 25 18 kaushikbharti.bk@gmail.com4 kaushikbharti.bk@gmail.com4 NOUN cana-3696 25 19 communications communication NOUN cana-3696 25 20 on on ADP cana-3696 25 21 applied apply VERB cana-3696 25 22 nonlinear nonlinear ADJ cana-3696 25 23 analysis analysis NOUN cana-3696 25 24 issn issn NOUN cana-3696 25 25 : : PUNCT cana-3696 25 26 1074 1074 NUM cana-3696 25 27 - - PUNCT cana-3696 25 28 133x 133x NUM cana-3696 25 29 vol vol NOUN cana-3696 25 30 32 32 NUM cana-3696 25 31 no no NOUN cana-3696 25 32 . . PUNCT cana-3696 26 1 8s 8s PROPN cana-3696 26 2 ( ( PUNCT cana-3696 26 3 2025 2025 NUM cana-3696 26 4 ) ) PUNCT cana-3696 26 5 485 485 NUM cana-3696 26 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 26 7 such such ADJ cana-3696 26 8 as as ADP cana-3696 26 9 asset asset NOUN cana-3696 26 10 class class NOUN cana-3696 26 11 performance performance NOUN cana-3696 26 12 , , PUNCT cana-3696 26 13 sectoral sectoral ADJ cana-3696 26 14 trends trend NOUN cana-3696 26 15 , , PUNCT cana-3696 26 16 and and CCONJ cana-3696 26 17 the the DET cana-3696 26 18 overall overall ADJ cana-3696 26 19 economic economic ADJ cana-3696 26 20 outlook outlook NOUN cana-3696 26 21 . . PUNCT cana-3696 27 1 in in ADP cana-3696 27 2 today today NOUN cana-3696 27 3 's 's PART cana-3696 27 4 digital digital ADJ cana-3696 27 5 age age NOUN cana-3696 27 6 , , PUNCT cana-3696 27 7 algorithmic algorithmic ADJ cana-3696 27 8 trading trading NOUN cana-3696 27 9 and and CCONJ cana-3696 27 10 automated automate VERB cana-3696 27 11 systems system NOUN cana-3696 27 12 heavily heavily ADV cana-3696 27 13 rely rely VERB cana-3696 27 14 on on SCONJ cana-3696 27 15 stock stock NOUN cana-3696 27 16 movement movement NOUN cana-3696 27 17 forecasts forecast VERB cana-3696 27 18 [ [ X cana-3696 27 19 5 5 NUM cana-3696 27 20 ] ] PUNCT cana-3696 27 21 . . PUNCT cana-3696 28 1 these these DET cana-3696 28 2 systems system NOUN cana-3696 28 3 use use VERB cana-3696 28 4 historical historical ADJ cana-3696 28 5 data datum NOUN cana-3696 28 6 , , PUNCT cana-3696 28 7 technical technical ADJ cana-3696 28 8 indicators indicator NOUN cana-3696 28 9 , , PUNCT cana-3696 28 10 and and CCONJ cana-3696 28 11 machine machine NOUN cana-3696 28 12 learning learn VERB cana-3696 28 13 algorithms algorithm NOUN cana-3696 28 14 to to PART cana-3696 28 15 predict predict VERB cana-3696 28 16 future future ADJ cana-3696 28 17 price price NOUN cana-3696 28 18 movements movement NOUN cana-3696 28 19 . . PUNCT cana-3696 29 1 investors investor NOUN cana-3696 29 2 and and CCONJ cana-3696 29 3 institutions institution NOUN cana-3696 29 4 use use VERB cana-3696 29 5 these these DET cana-3696 29 6 automated automate VERB cana-3696 29 7 tools tool NOUN cana-3696 29 8 to to PART cana-3696 29 9 execute execute VERB cana-3696 29 10 trades trade NOUN cana-3696 29 11 swiftly swiftly ADV cana-3696 29 12 and and CCONJ cana-3696 29 13 efficiently efficiently ADV cana-3696 29 14 . . PUNCT cana-3696 30 1 typically typically ADV cana-3696 30 2 , , PUNCT cana-3696 30 3 stock stock NOUN cana-3696 30 4 market market NOUN cana-3696 30 5 forecasting forecasting NOUN cana-3696 30 6 can can AUX cana-3696 30 7 be be AUX cana-3696 30 8 categories category NOUN cana-3696 30 9 based base VERB cana-3696 30 10 on on ADP cana-3696 30 11 the the DET cana-3696 30 12 tenure tenure NOUN cana-3696 30 13 of of ADP cana-3696 30 14 training training NOUN cana-3696 30 15 and and CCONJ cana-3696 30 16 testing testing NOUN cana-3696 30 17 intervals interval NOUN cana-3696 30 18 [ [ X cana-3696 30 19 6 6 NUM cana-3696 30 20 ] ] PUNCT cana-3696 30 21 . . PUNCT cana-3696 31 1 typically typically ADV cana-3696 31 2 , , PUNCT cana-3696 31 3 the the DET cana-3696 31 4 intervals interval NOUN cana-3696 31 5 defined define VERB cana-3696 31 6 are be AUX cana-3696 31 7 : : PUNCT cana-3696 31 8 1 1 X cana-3696 31 9 ) ) PUNCT cana-3696 31 10 short short ADJ cana-3696 31 11 2 2 NUM cana-3696 31 12 ) ) PUNCT cana-3696 31 13 mid mid ADJ cana-3696 31 14 3 3 NUM cana-3696 31 15 ) ) PUNCT cana-3696 31 16 long long ADV cana-3696 31 17 sometime sometime ADV cana-3696 31 18 ultra ultra ADJ cana-3696 31 19 short short ADJ cana-3696 31 20 and and CCONJ cana-3696 31 21 ultra ultra ADJ cana-3696 31 22 long long ADJ cana-3696 31 23 term term NOUN cana-3696 31 24 forecasts forecast NOUN cana-3696 31 25 are be AUX cana-3696 31 26 also also ADV cana-3696 31 27 analyzed analyze VERB cana-3696 31 28 , , PUNCT cana-3696 31 29 though though SCONJ cana-3696 31 30 they they PRON cana-3696 31 31 are be AUX cana-3696 31 32 under under ADP cana-3696 31 33 the the DET cana-3696 31 34 sub sub NOUN cana-3696 31 35 domain domain NOUN cana-3696 31 36 of of ADP cana-3696 31 37 short short ADJ cana-3696 31 38 and and CCONJ cana-3696 31 39 ling ling ADJ cana-3696 31 40 term term NOUN cana-3696 31 41 forecasts forecast NOUN cana-3696 31 42 [ [ X cana-3696 31 43 7 7 NUM cana-3696 31 44 ] ] PUNCT cana-3696 31 45 . . PUNCT cana-3696 32 1 ii ii PROPN cana-3696 32 2 . . PUNCT cana-3696 33 1 incorporating incorporate VERB cana-3696 33 2 global global ADJ cana-3696 33 3 factors factor NOUN cana-3696 33 4 through through ADP cana-3696 33 5 opinion opinion NOUN cana-3696 33 6 mining mining NOUN cana-3696 33 7 to to PART cana-3696 33 8 incorporate incorporate VERB cana-3696 33 9 global global ADJ cana-3696 33 10 influencing influence VERB cana-3696 33 11 factors factor NOUN cana-3696 33 12 , , PUNCT cana-3696 33 13 opinion opinion NOUN cana-3696 33 14 mining mining NOUN cana-3696 33 15 and and CCONJ cana-3696 33 16 sentiment sentiment NOUN cana-3696 33 17 analysis analysis NOUN cana-3696 33 18 has have AUX cana-3696 33 19 been be AUX cana-3696 33 20 extensively extensively ADV cana-3696 33 21 employed employ VERB cana-3696 33 22 . . PUNCT cana-3696 34 1 opinion opinion NOUN cana-3696 34 2 mining mining NOUN cana-3696 34 3 , , PUNCT cana-3696 34 4 also also ADV cana-3696 34 5 known know VERB cana-3696 34 6 as as ADP cana-3696 34 7 sentiment sentiment NOUN cana-3696 34 8 analysis analysis NOUN cana-3696 34 9 , , PUNCT cana-3696 34 10 involves involve VERB cana-3696 34 11 analyzing analyze VERB cana-3696 34 12 public public ADJ cana-3696 34 13 opinions opinion NOUN cana-3696 34 14 , , PUNCT cana-3696 34 15 attitudes attitude NOUN cana-3696 34 16 , , PUNCT cana-3696 34 17 and and CCONJ cana-3696 34 18 emotions emotion NOUN cana-3696 34 19 expressed express VERB cana-3696 34 20 in in ADP cana-3696 34 21 textual textual ADJ cana-3696 34 22 data datum NOUN cana-3696 34 23 [ [ X cana-3696 34 24 8 8 NUM cana-3696 34 25 ] ] PUNCT cana-3696 34 26 . . PUNCT cana-3696 35 1 applying apply VERB cana-3696 35 2 opinion opinion NOUN cana-3696 35 3 mining mining NOUN cana-3696 35 4 to to ADP cana-3696 35 5 stock stock NOUN cana-3696 35 6 market market NOUN cana-3696 35 7 forecasting forecasting NOUN cana-3696 35 8 involves involve VERB cana-3696 35 9 extracting extract VERB cana-3696 35 10 sentiment sentiment NOUN cana-3696 35 11 from from ADP cana-3696 35 12 financial financial ADJ cana-3696 35 13 news news NOUN cana-3696 35 14 , , PUNCT cana-3696 35 15 social social ADJ cana-3696 35 16 media medium NOUN cana-3696 35 17 , , PUNCT cana-3696 35 18 and and CCONJ cana-3696 35 19 other other ADJ cana-3696 35 20 sources source NOUN cana-3696 35 21 to to PART cana-3696 35 22 gauge gauge VERB cana-3696 35 23 investor investor NOUN cana-3696 35 24 sentiment sentiment NOUN cana-3696 35 25 and and CCONJ cana-3696 35 26 potential potential ADJ cana-3696 35 27 market market NOUN cana-3696 35 28 trends trend NOUN cana-3696 35 29 . . PUNCT cana-3696 36 1 the the DET cana-3696 36 2 first first ADJ cana-3696 36 3 step step NOUN cana-3696 36 4 in in ADP cana-3696 36 5 opinion opinion NOUN cana-3696 36 6 mining mining NOUN cana-3696 36 7 for for ADP cana-3696 36 8 stock stock NOUN cana-3696 36 9 market market NOUN cana-3696 36 10 forecasting forecasting NOUN cana-3696 36 11 is be AUX cana-3696 36 12 the the DET cana-3696 36 13 collection collection NOUN cana-3696 36 14 of of ADP cana-3696 36 15 relevant relevant ADJ cana-3696 36 16 textual textual ADJ cana-3696 36 17 data datum NOUN cana-3696 36 18 [ [ X cana-3696 36 19 9 9 NUM cana-3696 36 20 ] ] PUNCT cana-3696 36 21 . . PUNCT cana-3696 37 1 this this DET cana-3696 37 2 data datum NOUN cana-3696 37 3 can can AUX cana-3696 37 4 include include VERB cana-3696 37 5 financial financial ADJ cana-3696 37 6 news news NOUN cana-3696 37 7 articles article NOUN cana-3696 37 8 , , PUNCT cana-3696 37 9 social social ADJ cana-3696 37 10 media medium NOUN cana-3696 37 11 posts post NOUN cana-3696 37 12 , , PUNCT cana-3696 37 13 analyst analyst NOUN cana-3696 37 14 reports report NOUN cana-3696 37 15 , , PUNCT cana-3696 37 16 and and CCONJ cana-3696 37 17 other other ADJ cana-3696 37 18 sources source NOUN cana-3696 37 19 . . PUNCT cana-3696 38 1 text text NOUN cana-3696 38 2 processing processing NOUN cana-3696 38 3 techniques technique NOUN cana-3696 38 4 , , PUNCT cana-3696 38 5 such such ADJ cana-3696 38 6 as as ADP cana-3696 38 7 natural natural ADJ cana-3696 38 8 language language NOUN cana-3696 38 9 processing processing NOUN cana-3696 38 10 ( ( PUNCT cana-3696 38 11 nlp nlp NOUN cana-3696 38 12 ) ) PUNCT cana-3696 38 13 , , PUNCT cana-3696 38 14 are be AUX cana-3696 38 15 then then ADV cana-3696 38 16 applied apply VERB cana-3696 38 17 to to ADP cana-3696 38 18 preprocess preprocess NOUN cana-3696 38 19 and and CCONJ cana-3696 38 20 clean clean VERB cana-3696 38 21 the the DET cana-3696 38 22 data datum NOUN cana-3696 38 23 for for ADP cana-3696 38 24 sentiment sentiment NOUN cana-3696 38 25 analysis analysis NOUN cana-3696 38 26 [ [ X cana-3696 38 27 10 10 NUM cana-3696 38 28 ] ] PUNCT cana-3696 38 29 . . PUNCT cana-3696 39 1 opinion opinion NOUN cana-3696 39 2 mining mining NOUN cana-3696 39 3 employs employ VERB cana-3696 39 4 various various ADJ cana-3696 39 5 sentiment sentiment NOUN cana-3696 39 6 analysis analysis NOUN cana-3696 39 7 techniques technique NOUN cana-3696 39 8 to to PART cana-3696 39 9 determine determine VERB cana-3696 39 10 the the DET cana-3696 39 11 sentiment sentiment NOUN cana-3696 39 12 expressed express VERB cana-3696 39 13 in in ADP cana-3696 39 14 the the DET cana-3696 39 15 collected collect VERB cana-3696 39 16 texts text NOUN cana-3696 39 17 . . PUNCT cana-3696 40 1 these these DET cana-3696 40 2 techniques technique NOUN cana-3696 40 3 may may AUX cana-3696 40 4 include include VERB cana-3696 40 5 rule rule NOUN cana-3696 40 6 - - PUNCT cana-3696 40 7 based base VERB cana-3696 40 8 methods method NOUN cana-3696 40 9 , , PUNCT cana-3696 40 10 machine machine NOUN cana-3696 40 11 learning learning NOUN cana-3696 40 12 algorithms algorithm NOUN cana-3696 40 13 , , PUNCT cana-3696 40 14 and and CCONJ cana-3696 40 15 deep deep ADJ cana-3696 40 16 learning learning NOUN cana-3696 40 17 models model NOUN cana-3696 40 18 [ [ X cana-3696 40 19 11 11 NUM cana-3696 40 20 ] ] PUNCT cana-3696 40 21 . . PUNCT cana-3696 41 1 the the DET cana-3696 41 2 goal goal NOUN cana-3696 41 3 is be AUX cana-3696 41 4 to to PART cana-3696 41 5 classify classify VERB cana-3696 41 6 the the DET cana-3696 41 7 sentiment sentiment NOUN cana-3696 41 8 as as ADP cana-3696 41 9 positive positive ADJ cana-3696 41 10 , , PUNCT cana-3696 41 11 negative negative ADJ cana-3696 41 12 , , PUNCT cana-3696 41 13 or or CCONJ cana-3696 41 14 neutral neutral ADJ cana-3696 41 15 , , PUNCT cana-3696 41 16 providing provide VERB cana-3696 41 17 insights insight NOUN cana-3696 41 18 into into ADP cana-3696 41 19 how how SCONJ cana-3696 41 20 the the DET cana-3696 41 21 market market NOUN cana-3696 41 22 participants participant NOUN cana-3696 41 23 perceive perceive VERB cana-3696 41 24 certain certain ADJ cana-3696 41 25 stocks stock NOUN cana-3696 41 26 or or CCONJ cana-3696 41 27 the the DET cana-3696 41 28 overall overall ADJ cana-3696 41 29 market market NOUN cana-3696 41 30 . . PUNCT cana-3696 42 1 sentiment sentiment NOUN cana-3696 42 2 analysis analysis NOUN cana-3696 42 3 generates generate VERB cana-3696 42 4 sentiment sentiment NOUN cana-3696 42 5 scores score NOUN cana-3696 42 6 that that PRON cana-3696 42 7 quantify quantify VERB cana-3696 42 8 the the DET cana-3696 42 9 degree degree NOUN cana-3696 42 10 of of ADP cana-3696 42 11 positivity positivity NOUN cana-3696 42 12 or or CCONJ cana-3696 42 13 negativity negativity NOUN cana-3696 42 14 in in ADP cana-3696 42 15 the the DET cana-3696 42 16 expressed express VERB cana-3696 42 17 opinions opinion NOUN cana-3696 42 18 . . PUNCT cana-3696 43 1 these these DET cana-3696 43 2 scores score NOUN cana-3696 43 3 can can AUX cana-3696 43 4 be be AUX cana-3696 43 5 aggregated aggregate VERB cana-3696 43 6 over over ADP cana-3696 43 7 time time NOUN cana-3696 43 8 to to PART cana-3696 43 9 create create VERB cana-3696 43 10 sentiment sentiment NOUN cana-3696 43 11 time time PROPN cana-3696 43 12 series series PROPN cana-3696 43 13 data data PROPN cana-3696 43 14 . . PUNCT cana-3696 44 1 high high ADJ cana-3696 44 2 positive positive ADJ cana-3696 44 3 sentiment sentiment NOUN cana-3696 44 4 may may AUX cana-3696 44 5 indicate indicate VERB cana-3696 44 6 bullish bullish ADJ cana-3696 44 7 market market NOUN cana-3696 44 8 expectations expectation NOUN cana-3696 44 9 , , PUNCT cana-3696 44 10 while while SCONJ cana-3696 44 11 consistently consistently ADV cana-3696 44 12 negative negative ADJ cana-3696 44 13 sentiment sentiment NOUN cana-3696 44 14 could could AUX cana-3696 44 15 signal signal VERB cana-3696 44 16 bearish bearish ADJ cana-3696 44 17 sentiments sentiment NOUN cana-3696 44 18 among among ADP cana-3696 44 19 investors investor NOUN cana-3696 45 1 [ [ X cana-3696 45 2 12 12 NUM cana-3696 45 3 ] ] PUNCT cana-3696 45 4 . . PUNCT cana-3696 46 1 iii iii X cana-3696 46 2 . . PROPN cana-3696 46 3 proposed propose VERB cana-3696 46 4 model model NOUN cana-3696 46 5 the the DET cana-3696 46 6 methodology methodology NOUN cana-3696 46 7 of of ADP cana-3696 46 8 the the DET cana-3696 46 9 proposed propose VERB cana-3696 46 10 approach approach NOUN cana-3696 46 11 can can AUX cana-3696 46 12 be be AUX cana-3696 46 13 thought think VERB cana-3696 46 14 of of ADP cana-3696 46 15 as as ADP cana-3696 46 16 an an DET cana-3696 46 17 amalgamation amalgamation NOUN cana-3696 46 18 of of ADP cana-3696 46 19 data datum NOUN cana-3696 46 20 preprocessing preprocessing NOUN cana-3696 46 21 , , PUNCT cana-3696 46 22 feature feature NOUN cana-3696 46 23 selection selection NOUN cana-3696 46 24 and and CCONJ cana-3696 46 25 training training NOUN cana-3696 46 26 using use VERB cana-3696 46 27 deep deep ADJ cana-3696 46 28 neural neural ADJ cana-3696 46 29 networks network NOUN cana-3696 46 30 . . PUNCT cana-3696 47 1 each each PRON cana-3696 47 2 of of ADP cana-3696 47 3 the the DET cana-3696 47 4 sections section NOUN cana-3696 47 5 have have VERB cana-3696 47 6 their their PRON cana-3696 47 7 own own ADJ cana-3696 47 8 importance importance NOUN cana-3696 47 9 . . PUNCT cana-3696 48 1 the the DET cana-3696 48 2 methodology methodology NOUN cana-3696 48 3 is be AUX cana-3696 48 4 presented present VERB cana-3696 48 5 in in ADP cana-3696 48 6 each each PRON cana-3696 48 7 of of ADP cana-3696 48 8 the the DET cana-3696 48 9 following follow VERB cana-3696 48 10 heads head NOUN cana-3696 48 11 which which PRON cana-3696 48 12 comprise comprise VERB cana-3696 48 13 the the DET cana-3696 48 14 algorithm algorithm NOUN cana-3696 48 15 . . PUNCT cana-3696 49 1 the the DET cana-3696 49 2 variation variation NOUN cana-3696 49 3 of of ADP cana-3696 49 4 the the DET cana-3696 49 5 tenure tenure NOUN cana-3696 49 6 of of ADP cana-3696 49 7 training training NOUN cana-3696 49 8 and and CCONJ cana-3696 49 9 testing testing NOUN cana-3696 49 10 has have AUX cana-3696 49 11 been be AUX cana-3696 49 12 leveraged leverage VERB cana-3696 49 13 to to PART cana-3696 49 14 forecast forecast VERB cana-3696 49 15 long long ADJ cana-3696 49 16 , , PUNCT cana-3696 49 17 short short ADJ cana-3696 49 18 and and CCONJ cana-3696 49 19 mid mid ADJ cana-3696 49 20 term term NOUN cana-3696 49 21 movement movement NOUN cana-3696 49 22 [ [ X cana-3696 49 23 13 13 NUM cana-3696 49 24 ] ] PUNCT cana-3696 49 25 . . PUNCT cana-3696 50 1 data data PROPN cana-3696 50 2 pre pre ADJ cana-3696 50 3 - - NOUN cana-3696 50 4 processing processing ADJ cana-3696 50 5 : : PUNCT cana-3696 50 6 the the DET cana-3696 50 7 dwt dwt NOUN cana-3696 50 8 : : PUNCT cana-3696 50 9 discrete discrete ADJ cana-3696 50 10 wavelet wavelet NOUN cana-3696 50 11 transform transform NOUN cana-3696 50 12 ( ( PUNCT cana-3696 50 13 dwt dwt NOUN cana-3696 50 14 ) ) PUNCT cana-3696 50 15 based base VERB cana-3696 50 16 filtering filtering NOUN cana-3696 50 17 has have AUX cana-3696 50 18 gained gain VERB cana-3696 50 19 attention attention NOUN cana-3696 50 20 in in ADP cana-3696 50 21 recent recent ADJ cana-3696 50 22 years year NOUN cana-3696 50 23 as as ADP cana-3696 50 24 a a DET cana-3696 50 25 powerful powerful ADJ cana-3696 50 26 tool tool NOUN cana-3696 50 27 for for ADP cana-3696 50 28 signal signal NOUN cana-3696 50 29 processing processing NOUN cana-3696 50 30 , , PUNCT cana-3696 50 31 and and CCONJ cana-3696 50 32 it it PRON cana-3696 50 33 has have AUX cana-3696 50 34 found find VERB cana-3696 50 35 applications application NOUN cana-3696 50 36 in in ADP cana-3696 50 37 stock stock NOUN cana-3696 50 38 market market NOUN cana-3696 50 39 forecasting forecasting NOUN cana-3696 51 1 [ [ X cana-3696 51 2 14 14 NUM cana-3696 51 3 ] ] PUNCT cana-3696 51 4 . . PUNCT cana-3696 52 1 dwt dwt PROPN cana-3696 52 2 is be AUX cana-3696 52 3 a a DET cana-3696 52 4 communications communication NOUN cana-3696 52 5 on on ADP cana-3696 52 6 applied apply VERB cana-3696 52 7 nonlinear nonlinear ADJ cana-3696 52 8 analysis analysis NOUN cana-3696 52 9 issn issn NOUN cana-3696 52 10 : : PUNCT cana-3696 52 11 1074 1074 NUM cana-3696 52 12 - - PUNCT cana-3696 52 13 133x 133x NUM cana-3696 52 14 vol vol NOUN cana-3696 52 15 32 32 NUM cana-3696 52 16 no no NOUN cana-3696 52 17 . . PUNCT cana-3696 53 1 8s 8s PROPN cana-3696 53 2 ( ( PUNCT cana-3696 53 3 2025 2025 NUM cana-3696 53 4 ) ) PUNCT cana-3696 53 5 486 486 NUM cana-3696 53 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 53 7 mathematical mathematical ADJ cana-3696 53 8 tool tool NOUN cana-3696 53 9 that that PRON cana-3696 53 10 decomposes decompose VERB cana-3696 53 11 a a DET cana-3696 53 12 time time NOUN cana-3696 53 13 - - PUNCT cana-3696 53 14 series series NOUN cana-3696 53 15 signal signal NOUN cana-3696 53 16 into into ADP cana-3696 53 17 different different ADJ cana-3696 53 18 frequency frequency NOUN cana-3696 53 19 components component NOUN cana-3696 53 20 or or CCONJ cana-3696 53 21 scales scale NOUN cana-3696 53 22 . . PUNCT cana-3696 54 1 in in ADP cana-3696 54 2 the the DET cana-3696 54 3 context context NOUN cana-3696 54 4 of of ADP cana-3696 54 5 stock stock NOUN cana-3696 54 6 market market NOUN cana-3696 54 7 data datum NOUN cana-3696 54 8 , , PUNCT cana-3696 54 9 this this PRON cana-3696 54 10 means mean VERB cana-3696 54 11 breaking break VERB cana-3696 54 12 down down ADP cana-3696 54 13 the the DET cana-3696 54 14 original original ADJ cana-3696 54 15 time time NOUN cana-3696 54 16 series series NOUN cana-3696 54 17 into into ADP cana-3696 54 18 various various ADJ cana-3696 54 19 frequency frequency NOUN cana-3696 54 20 bands band NOUN cana-3696 54 21 or or CCONJ cana-3696 54 22 levels level NOUN cana-3696 54 23 . . PUNCT cana-3696 55 1 high high ADJ cana-3696 55 2 - - PUNCT cana-3696 55 3 frequency frequency NOUN cana-3696 55 4 components component NOUN cana-3696 55 5 may may AUX cana-3696 55 6 capture capture VERB cana-3696 55 7 short short ADJ cana-3696 55 8 - - PUNCT cana-3696 55 9 term term NOUN cana-3696 55 10 fluctuations fluctuation NOUN cana-3696 55 11 , , PUNCT cana-3696 55 12 while while SCONJ cana-3696 55 13 low low ADJ cana-3696 55 14 - - PUNCT cana-3696 55 15 frequency frequency NOUN cana-3696 55 16 components component NOUN cana-3696 55 17 represent represent VERB cana-3696 55 18 longer long ADJ cana-3696 55 19 - - PUNCT cana-3696 55 20 term term NOUN cana-3696 55 21 trends trend NOUN cana-3696 55 22 [ [ X cana-3696 55 23 15 15 NUM cana-3696 55 24 ] ] PUNCT cana-3696 55 25 . . PUNCT cana-3696 56 1 dwt dwt NOUN cana-3696 56 2 - - PUNCT cana-3696 56 3 based base VERB cana-3696 56 4 filtering filtering NOUN cana-3696 56 5 allows allow VERB cana-3696 56 6 for for ADP cana-3696 56 7 the the DET cana-3696 56 8 separation separation NOUN cana-3696 56 9 of of ADP cana-3696 56 10 signal signal NOUN cana-3696 56 11 and and CCONJ cana-3696 56 12 noise noise NOUN cana-3696 56 13 components component NOUN cana-3696 56 14 . . PUNCT cana-3696 57 1 by by ADP cana-3696 57 2 decomposing decompose VERB cana-3696 57 3 the the DET cana-3696 57 4 stock stock NOUN cana-3696 57 5 market market NOUN cana-3696 57 6 time time NOUN cana-3696 57 7 series series NOUN cana-3696 57 8 into into ADP cana-3696 57 9 different different ADJ cana-3696 57 10 scales scale NOUN cana-3696 57 11 , , PUNCT cana-3696 57 12 it it PRON cana-3696 57 13 becomes become VERB cana-3696 57 14 possible possible ADJ cana-3696 57 15 to to PART cana-3696 57 16 filter filter VERB cana-3696 57 17 out out ADP cana-3696 57 18 high high ADJ cana-3696 57 19 - - PUNCT cana-3696 57 20 frequency frequency NOUN cana-3696 57 21 noise noise NOUN cana-3696 57 22 , , PUNCT cana-3696 57 23 which which PRON cana-3696 57 24 may may AUX cana-3696 57 25 be be AUX cana-3696 57 26 attributed attribute VERB cana-3696 57 27 to to ADP cana-3696 57 28 market market NOUN cana-3696 57 29 volatility volatility NOUN cana-3696 57 30 or or CCONJ cana-3696 57 31 irregularities irregularity NOUN cana-3696 57 32 [ [ X cana-3696 57 33 16 16 NUM cana-3696 57 34 ] ] PUNCT cana-3696 57 35 . . PUNCT cana-3696 58 1 this this DET cana-3696 58 2 noise noise NOUN cana-3696 58 3 reduction reduction NOUN cana-3696 58 4 helps help VERB cana-3696 58 5 in in ADP cana-3696 58 6 extracting extract VERB cana-3696 58 7 meaningful meaningful ADJ cana-3696 58 8 features feature NOUN cana-3696 58 9 from from ADP cana-3696 58 10 the the DET cana-3696 58 11 data datum NOUN cana-3696 58 12 that that PRON cana-3696 58 13 are be AUX cana-3696 58 14 more more ADV cana-3696 58 15 indicative indicative ADJ cana-3696 58 16 of of ADP cana-3696 58 17 underlying underlie VERB cana-3696 58 18 market market NOUN cana-3696 58 19 trends trend NOUN cana-3696 58 20 . . PUNCT cana-3696 59 1 the the DET cana-3696 59 2 multi multi ADJ cana-3696 59 3 - - ADJ cana-3696 59 4 resolution resolution ADJ cana-3696 59 5 property property NOUN cana-3696 59 6 of of ADP cana-3696 59 7 dwt dwt PROPN cana-3696 59 8 enables enable VERB cana-3696 59 9 the the DET cana-3696 59 10 identification identification NOUN cana-3696 59 11 of of ADP cana-3696 59 12 trend trend NOUN cana-3696 59 13 and and CCONJ cana-3696 59 14 cyclical cyclical ADJ cana-3696 59 15 patterns pattern NOUN cana-3696 59 16 in in ADP cana-3696 59 17 stock stock NOUN cana-3696 59 18 prices price NOUN cana-3696 59 19 . . PUNCT cana-3696 60 1 improved improve VERB cana-3696 60 2 signal signal ADJ cana-3696 60 3 quality quality NOUN cana-3696 60 4 allows allow VERB cana-3696 60 5 for for ADP cana-3696 60 6 more more ADV cana-3696 60 7 accurate accurate ADJ cana-3696 60 8 modeling modeling NOUN cana-3696 60 9 and and CCONJ cana-3696 60 10 prediction prediction NOUN cana-3696 60 11 of of ADP cana-3696 60 12 future future ADJ cana-3696 60 13 stock stock NOUN cana-3696 60 14 prices price NOUN cana-3696 60 15 [ [ X cana-3696 60 16 17 17 NUM cana-3696 60 17 ] ] PUNCT cana-3696 60 18 . . PUNCT cana-3696 61 1 dwt dwt NOUN cana-3696 61 2 - - PUNCT cana-3696 61 3 based base VERB cana-3696 61 4 filtering filtering NOUN cana-3696 61 5 not not PART cana-3696 61 6 only only ADV cana-3696 61 7 aids aid NOUN cana-3696 61 8 in in ADP cana-3696 61 9 forecasting forecast VERB cana-3696 61 10 stock stock NOUN cana-3696 61 11 prices price NOUN cana-3696 61 12 but but CCONJ cana-3696 61 13 also also ADV cana-3696 61 14 contributes contribute VERB cana-3696 61 15 to to ADP cana-3696 61 16 risk risk NOUN cana-3696 61 17 management management NOUN cana-3696 61 18 strategies strategy NOUN cana-3696 61 19 . . PUNCT cana-3696 62 1 by by ADP cana-3696 62 2 identifying identify VERB cana-3696 62 3 trends trend NOUN cana-3696 62 4 and and CCONJ cana-3696 62 5 patterns pattern NOUN cana-3696 62 6 at at ADP cana-3696 62 7 different different ADJ cana-3696 62 8 time time NOUN cana-3696 62 9 scales scale NOUN cana-3696 62 10 , , PUNCT cana-3696 62 11 investors investor NOUN cana-3696 62 12 can can AUX cana-3696 62 13 make make VERB cana-3696 62 14 more more ADV cana-3696 62 15 informed informed ADJ cana-3696 62 16 decisions decision NOUN cana-3696 62 17 about about ADP cana-3696 62 18 when when SCONJ cana-3696 62 19 to to PART cana-3696 62 20 enter enter VERB cana-3696 62 21 or or CCONJ cana-3696 62 22 exit exit VERB cana-3696 62 23 the the DET cana-3696 62 24 market market NOUN cana-3696 62 25 . . PUNCT cana-3696 63 1 understanding understand VERB cana-3696 63 2 the the DET cana-3696 63 3 underlying underlie VERB cana-3696 63 4 structure structure NOUN cana-3696 63 5 of of ADP cana-3696 63 6 the the DET cana-3696 63 7 data datum NOUN cana-3696 63 8 helps help VERB cana-3696 63 9 in in ADP cana-3696 63 10 managing manage VERB cana-3696 63 11 investment investment NOUN cana-3696 63 12 risks risk NOUN cana-3696 63 13 effectively effectively ADV cana-3696 63 14 [ [ X cana-3696 63 15 18 18 NUM cana-3696 63 16 ] ] PUNCT cana-3696 63 17 . . PUNCT cana-3696 64 1 the the DET cana-3696 64 2 dwt dwt NOUN cana-3696 64 3 can can AUX cana-3696 64 4 be be AUX cana-3696 64 5 mathematically mathematically ADV cana-3696 64 6 expressed express VERB cana-3696 64 7 as as ADP cana-3696 64 8 [ [ X cana-3696 64 9 19 19 NUM cana-3696 64 10 ] ] PUNCT cana-3696 64 11 : : PUNCT cana-3696 64 12 𝑭(𝒙 𝑭(𝒙 NUM cana-3696 64 13 , , PUNCT cana-3696 64 14 π’š π’š NOUN cana-3696 64 15 ) ) PUNCT cana-3696 64 16 π‘«π‘Ύπ‘»πŸ π‘«π‘Ύπ‘»πŸ PROPN cana-3696 64 17 β†’ β†’ SYM cana-3696 64 18 π‘ͺ𝑨 π‘ͺ𝑨 PROPN cana-3696 64 19 , , PUNCT cana-3696 64 20 π‘ͺ𝑫 π‘ͺ𝑫 PROPN cana-3696 64 21 , , PUNCT cana-3696 64 22 π‘ͺ𝑯 π‘ͺ𝑯 PROPN cana-3696 64 23 , , PUNCT cana-3696 64 24 π‘ͺ𝑽 π‘ͺ𝑽 PROPN cana-3696 64 25 ( ( PUNCT cana-3696 64 26 1 1 NUM cana-3696 64 27 ) ) PUNCT cana-3696 64 28 here here ADV cana-3696 64 29 , , PUNCT cana-3696 64 30 𝐢𝐴represents 𝐢𝐴represent VERB cana-3696 64 31 the the DET cana-3696 64 32 approximate approximate ADJ cana-3696 64 33 co co ADJ cana-3696 64 34 - - ADJ cana-3696 64 35 efficient efficient ADJ cana-3696 64 36 values value NOUN cana-3696 64 37 . . PUNCT cana-3696 65 1 𝐢𝐷represents 𝐢𝐷represent NOUN cana-3696 65 2 the the DET cana-3696 65 3 detailed detailed ADJ cana-3696 65 4 co co ADJ cana-3696 65 5 - - ADJ cana-3696 65 6 efficient efficient ADJ cana-3696 65 7 values value NOUN cana-3696 65 8 . . PUNCT cana-3696 66 1 𝐢𝑉represents 𝐢𝑉represent NOUN cana-3696 66 2 the the DET cana-3696 66 3 vertical vertical ADJ cana-3696 66 4 co co ADJ cana-3696 66 5 - - ADJ cana-3696 66 6 efficient efficient ADJ cana-3696 66 7 values value NOUN cana-3696 66 8 . . PUNCT cana-3696 67 1 𝐢𝐻represents 𝐢𝐻represent VERB cana-3696 67 2 the the DET cana-3696 67 3 horizontal horizontal ADJ cana-3696 67 4 co co ADJ cana-3696 67 5 - - ADJ cana-3696 67 6 efficient efficient ADJ cana-3696 67 7 values value NOUN cana-3696 67 8 . . PUNCT cana-3696 68 1 π·π‘Šπ‘‡2represents π·π‘Šπ‘‡2represent NOUN cana-3696 68 2 the the DET cana-3696 68 3 discrete discrete ADJ cana-3696 68 4 wavelet wavelet NOUN cana-3696 68 5 transform transform NOUN cana-3696 68 6 on on ADP cana-3696 68 7 the the DET cana-3696 68 8 actual actual ADJ cana-3696 68 9 data datum NOUN cana-3696 68 10 . . PUNCT cana-3696 69 1 the the DET cana-3696 69 2 idea idea NOUN cana-3696 69 3 is be AUX cana-3696 69 4 to to PART cana-3696 69 5 keep keep VERB cana-3696 69 6 the the DET cana-3696 69 7 𝐢𝐴 𝐢𝐴 NOUN cana-3696 69 8 values value NOUN cana-3696 69 9 while while SCONJ cana-3696 69 10 removing remove VERB cana-3696 69 11 the the DET cana-3696 69 12 𝐢𝐷 𝐢𝐷 NOUN cana-3696 69 13 values value NOUN cana-3696 69 14 so so SCONJ cana-3696 69 15 that that SCONJ cana-3696 69 16 the the DET cana-3696 69 17 data datum NOUN cana-3696 69 18 can can AUX cana-3696 69 19 be be AUX cana-3696 69 20 filtered filter VERB cana-3696 69 21 . . PUNCT cana-3696 70 1 the the DET cana-3696 70 2 filtered filter VERB cana-3696 70 3 data data NOUN cana-3696 70 4 is be AUX cana-3696 70 5 then then ADV cana-3696 70 6 applied apply VERB cana-3696 70 7 to to ADP cana-3696 70 8 the the DET cana-3696 70 9 deep deep ADJ cana-3696 70 10 neural neural ADJ cana-3696 70 11 network network NOUN cana-3696 70 12 model model NOUN cana-3696 70 13 . . PUNCT cana-3696 71 1 moving move VERB cana-3696 71 2 window window NOUN cana-3696 71 3 : : PUNCT cana-3696 71 4 to to PART cana-3696 71 5 sample sample VERB cana-3696 71 6 the the DET cana-3696 71 7 recent recent ADJ cana-3696 71 8 trends trend NOUN cana-3696 71 9 in in ADP cana-3696 71 10 the the DET cana-3696 71 11 data datum NOUN cana-3696 71 12 , , PUNCT cana-3696 71 13 a a DET cana-3696 71 14 two two NUM cana-3696 71 15 way way NOUN cana-3696 71 16 moving move VERB cana-3696 71 17 filter filter NOUN cana-3696 71 18 based base VERB cana-3696 71 19 windowing windowing NOUN cana-3696 71 20 has have AUX cana-3696 71 21 been be AUX cana-3696 71 22 employed employ VERB cana-3696 71 23 in in ADP cana-3696 71 24 this this DET cana-3696 71 25 work work NOUN cana-3696 71 26 which which PRON cana-3696 71 27 captures capture VERB cana-3696 71 28 the the DET cana-3696 71 29 recent recent ADJ cana-3696 71 30 ( ( PUNCT cana-3696 71 31 𝑙 𝑙 PROPN cana-3696 71 32 βˆ’ βˆ’ PROPN cana-3696 71 33 π‘š π‘š NOUN cana-3696 71 34 ) ) PUNCT cana-3696 71 35 π‘ π‘Žπ‘šπ‘π‘™π‘’π‘  π‘ π‘Žπ‘šπ‘π‘™π‘’π‘  NOUN cana-3696 71 36 of of ADP cana-3696 71 37 the the DET cana-3696 71 38 data datum NOUN cana-3696 71 39 . . PUNCT cana-3696 72 1 this this PRON cana-3696 72 2 is be AUX cana-3696 72 3 fed feed VERB cana-3696 72 4 as as ADP cana-3696 72 5 an an DET cana-3696 72 6 additional additional ADJ cana-3696 72 7 sliding slide VERB cana-3696 72 8 input input NOUN cana-3696 72 9 to to ADP cana-3696 72 10 the the DET cana-3696 72 11 training training NOUN cana-3696 72 12 vector vector NOUN cana-3696 72 13 : : PUNCT cana-3696 72 14 𝒏 𝒏 PROPN cana-3696 72 15 𝟐 𝟐 NUM cana-3696 72 16 ≀ ≀ NOUN cana-3696 72 17 π’Œ π’Œ DET cana-3696 72 18 ≀ ≀ NUM cana-3696 72 19 𝒏 𝒏 PROPN cana-3696 72 20 ( ( PUNCT cana-3696 72 21 2 2 NUM cana-3696 72 22 ) ) PUNCT cana-3696 72 23 here here ADV cana-3696 72 24 , , PUNCT cana-3696 72 25 𝑛 𝑛 PROPN cana-3696 72 26 is be AUX cana-3696 72 27 the the DET cana-3696 72 28 number number NOUN cana-3696 72 29 of of ADP cana-3696 72 30 samples sample NOUN cana-3696 72 31 for for ADP cana-3696 72 32 forecasting forecasting NOUN cana-3696 72 33 . . PUNCT cana-3696 73 1 π‘˜ π‘˜ PRON cana-3696 73 2 is be AUX cana-3696 73 3 the the DET cana-3696 73 4 length length NOUN cana-3696 73 5 of of ADP cana-3696 73 6 the the DET cana-3696 73 7 sliding slide VERB cana-3696 73 8 window window NOUN cana-3696 73 9 . . PUNCT cana-3696 74 1 we we PRON cana-3696 74 2 also also ADV cana-3696 74 3 introduce introduce VERB cana-3696 74 4 an an DET cana-3696 74 5 additional additional ADJ cana-3696 74 6 parameter parameter NOUN cana-3696 74 7 , , PUNCT cana-3696 74 8 π‘Ÿπ‘˜ π‘Ÿπ‘˜ NOUN cana-3696 74 9 , , PUNCT cana-3696 74 10 in in ADP cana-3696 74 11 the the DET cana-3696 74 12 range range NOUN cana-3696 74 13 π‘˜πœ– π‘˜πœ– PROPN cana-3696 74 14 [ [ PUNCT cana-3696 74 15 𝑛 𝑛 PRON cana-3696 74 16 2 2 NUM cana-3696 74 17 , , PUNCT cana-3696 74 18 𝑛 𝑛 PROPN cana-3696 74 19 ] ] X cana-3696 74 20 , , PUNCT cana-3696 74 21 such such ADJ cana-3696 74 22 that that SCONJ cana-3696 74 23 , , PUNCT cana-3696 74 24 π’“π’Œ π’“π’Œ PROPN cana-3696 74 25 = = SYM cana-3696 74 26 ππ’š(𝒏,π’Œ ππ’š(𝒏,π’Œ PROPN cana-3696 74 27 ) ) PUNCT cana-3696 74 28 𝝏𝒏 𝝏𝒏 X cana-3696 74 29 βˆ€π’Œπ βˆ€π’Œπ PROPN cana-3696 74 30 [ [ PUNCT cana-3696 74 31 𝒏 𝒏 PROPN cana-3696 74 32 𝟐 𝟐 NUM cana-3696 74 33 , , PUNCT cana-3696 74 34 𝒏 𝒏 PROPN cana-3696 74 35 ] ] X cana-3696 74 36 ( ( PUNCT cana-3696 74 37 3 3 X cana-3696 74 38 ) ) PUNCT cana-3696 74 39 here here ADV cana-3696 74 40 communications communication NOUN cana-3696 74 41 on on ADP cana-3696 74 42 applied apply VERB cana-3696 74 43 nonlinear nonlinear ADJ cana-3696 74 44 analysis analysis NOUN cana-3696 74 45 issn issn NOUN cana-3696 74 46 : : PUNCT cana-3696 74 47 1074 1074 NUM cana-3696 74 48 - - PUNCT cana-3696 74 49 133x 133x NUM cana-3696 74 50 vol vol NOUN cana-3696 74 51 32 32 NUM cana-3696 74 52 no no NOUN cana-3696 74 53 . . PUNCT cana-3696 75 1 8s 8s PROPN cana-3696 75 2 ( ( PUNCT cana-3696 75 3 2025 2025 NUM cana-3696 75 4 ) ) PUNCT cana-3696 75 5 487 487 NUM cana-3696 75 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 75 7 π‘Ÿπ‘˜ π‘Ÿπ‘˜ NOUN cana-3696 75 8 signifies signify VERB cana-3696 75 9 the the DET cana-3696 75 10 rate rate NOUN cana-3696 75 11 of of ADP cana-3696 75 12 change change NOUN cana-3696 75 13 of of ADP cana-3696 75 14 the the DET cana-3696 75 15 target target NOUN cana-3696 75 16 in in ADP cana-3696 75 17 the the DET cana-3696 75 18 sliding sliding ADJ cana-3696 75 19 interval interval NOUN cana-3696 75 20 of of ADP cana-3696 75 21 [ [ PUNCT cana-3696 75 22 𝑛 𝑛 PROPN cana-3696 75 23 2 2 NUM cana-3696 75 24 , , PUNCT cana-3696 75 25 𝑛 𝑛 PROPN cana-3696 75 26 ] ] PUNCT cana-3696 75 27 . . PUNCT cana-3696 76 1 deep deep ADJ cana-3696 76 2 neural neural ADJ cana-3696 76 3 network network NOUN cana-3696 76 4 model model NOUN cana-3696 76 5 for for ADP cana-3696 76 6 pattern pattern NOUN cana-3696 76 7 recognition recognition NOUN cana-3696 76 8 : : PUNCT cana-3696 76 9 several several ADJ cana-3696 76 10 approaches approach NOUN cana-3696 76 11 have have AUX cana-3696 76 12 been be AUX cana-3696 76 13 explored explore VERB cana-3696 76 14 to to PART cana-3696 76 15 forecast forecast VERB cana-3696 76 16 stock stock NOUN cana-3696 76 17 trends trend NOUN cana-3696 76 18 accurately accurately ADV cana-3696 76 19 but but CCONJ cana-3696 76 20 one one NUM cana-3696 76 21 of of ADP cana-3696 76 22 the the DET cana-3696 76 23 most most ADV cana-3696 76 24 effective effective ADJ cana-3696 76 25 techniques technique NOUN cana-3696 76 26 happens happen VERB cana-3696 76 27 to to PART cana-3696 76 28 be be AUX cana-3696 76 29 the the DET cana-3696 76 30 deep deep ADJ cana-3696 76 31 neural neural ADJ cana-3696 76 32 network network NOUN cana-3696 76 33 model model NOUN cana-3696 76 34 . . PUNCT cana-3696 77 1 the the DET cana-3696 77 2 algorithm algorithm NOUN cana-3696 77 3 proposed propose VERB cana-3696 77 4 in in ADP cana-3696 77 5 this this DET cana-3696 77 6 approach approach NOUN cana-3696 77 7 aims aim VERB cana-3696 77 8 to to PART cana-3696 77 9 reduce reduce VERB cana-3696 77 10 the the DET cana-3696 77 11 swing swing NOUN cana-3696 77 12 or or CCONJ cana-3696 77 13 overshoot overshoot NOUN cana-3696 77 14 of of ADP cana-3696 77 15 the the DET cana-3696 77 16 training training NOUN cana-3696 77 17 algorithm algorithm NOUN cana-3696 77 18 while while SCONJ cana-3696 77 19 attaining attain VERB cana-3696 77 20 convergence convergence NOUN cana-3696 77 21 [ [ X cana-3696 77 22 19 19 NUM cana-3696 77 23 ] ] PUNCT cana-3696 77 24 . . PUNCT cana-3696 78 1 algorithm algorithm PROPN cana-3696 78 2 the the DET cana-3696 78 3 algorithm algorithm NOUN cana-3696 78 4 of of ADP cana-3696 78 5 the the DET cana-3696 78 6 proposed propose VERB cana-3696 78 7 approach approach NOUN cana-3696 78 8 is be AUX cana-3696 78 9 presented present VERB cana-3696 78 10 subsequently subsequently ADV cana-3696 78 11 : : PUNCT cana-3696 78 12 step.1 step.1 NOUN cana-3696 78 13 extract extract VERB cana-3696 78 14 dataset dataset NOUN cana-3696 78 15 and and CCONJ cana-3696 78 16 divide divide VERB cana-3696 78 17 data datum NOUN cana-3696 78 18 into into ADP cana-3696 78 19 the the DET cana-3696 78 20 ratio ratio NOUN cana-3696 78 21 of of ADP cana-3696 78 22 70:30 70:30 NUM cana-3696 78 23 for for ADP cana-3696 78 24 training training NOUN cana-3696 78 25 : : PUNCT cana-3696 78 26 testing testing NOUN cana-3696 78 27 . . PUNCT cana-3696 79 1 step.2 step.2 NOUN cana-3696 79 2 apply apply VERB cana-3696 79 3 dwt dwt NOUN cana-3696 79 4 to to PART cana-3696 79 5 filter filter VERB cana-3696 79 6 data datum NOUN cana-3696 79 7 by by ADP cana-3696 79 8 keeping keep VERB cana-3696 79 9 the the DET cana-3696 79 10 𝐢𝐴 𝐢𝐴 NOUN cana-3696 79 11 values value NOUN cana-3696 79 12 while while SCONJ cana-3696 79 13 removing remove VERB cana-3696 79 14 the the DET cana-3696 79 15 𝐢𝐷 𝐢𝐷 PROPN cana-3696 79 16 values value NOUN cana-3696 79 17 step.3 step.3 AUX cana-3696 79 18 apply apply VERB cana-3696 79 19 dual dual ADJ cana-3696 79 20 averaging averaging NOUN cana-3696 79 21 window window NOUN cana-3696 79 22 of of ADP cana-3696 79 23 ( ( PUNCT cana-3696 79 24 𝑙 𝑙 PROPN cana-3696 79 25 βˆ’ βˆ’ PROPN cana-3696 79 26 π‘š π‘š NOUN cana-3696 79 27 ) ) PUNCT cana-3696 79 28 π‘Žπ‘›π‘‘ π‘Žπ‘›π‘‘ PROPN cana-3696 79 29 π‘ π‘Žπ‘šπ‘π‘™π‘’π‘  π‘ π‘Žπ‘šπ‘π‘™π‘’π‘  PROPN cana-3696 79 30 π‘Žπ‘›π‘‘ π‘Žπ‘›π‘‘ PROPN cana-3696 79 31 ππ’š(𝒏,π’Œ ππ’š(𝒏,π’Œ PROPN cana-3696 79 32 ) ) PUNCT cana-3696 79 33 𝝏𝒏 𝝏𝒏 PUNCT cana-3696 79 34 βˆ€ βˆ€ X cana-3696 79 35 π‘˜ π‘˜ DET cana-3696 79 36 πœ–. πœ–. ADJ cana-3696 79 37 step.4 step.4 PROPN cana-3696 79 38 to to PART cana-3696 79 39 train train VERB cana-3696 79 40 the the DET cana-3696 79 41 network network NOUN cana-3696 79 42 , , PUNCT cana-3696 79 43 employ employ VERB cana-3696 79 44 the the DET cana-3696 79 45 following follow VERB cana-3696 79 46 training training NOUN cana-3696 79 47 rule rule NOUN cana-3696 79 48 : : PUNCT cana-3696 79 49 π’—π’‚ππ’˜ π’—π’‚ππ’˜ X cana-3696 79 50 = = PUNCT cana-3696 80 1 π’Žπ’—π’‚ππ’˜ π’Žπ’—π’‚ππ’˜ PROPN cana-3696 80 2 + + CCONJ cana-3696 80 3 ( ( PUNCT cana-3696 80 4 𝟏 𝟏 NUM cana-3696 80 5 βˆ’π’Ž)ππ’˜ βˆ’π’Ž)ππ’˜ NOUN cana-3696 80 6 ( ( PUNCT cana-3696 80 7 4 4 NUM cana-3696 80 8 ) ) PUNCT cana-3696 80 9 here here ADV cana-3696 80 10 , , PUNCT cana-3696 80 11 π‘£π‘Ž π‘£π‘Ž NOUN cana-3696 80 12 represents represent VERB cana-3696 80 13 the the DET cana-3696 80 14 learning learn VERB cana-3696 80 15 velocity velocity NOUN cana-3696 80 16 along along ADP cana-3696 80 17 β€˜ ' PUNCT cana-3696 80 18 a a PRON cana-3696 80 19 ’ ' PUNCT cana-3696 80 20 . . PUNCT cana-3696 81 1 π‘š π‘š PROPN cana-3696 81 2 represents represent VERB cana-3696 81 3 the the DET cana-3696 81 4 momentum momentum NOUN cana-3696 81 5 factor factor NOUN cana-3696 81 6 𝑀 𝑀 NOUN cana-3696 81 7 represents represent VERB cana-3696 81 8 the the DET cana-3696 81 9 weights weight NOUN cana-3696 81 10 . . PUNCT cana-3696 82 1 πœ•π‘€ πœ•π‘€ NOUN cana-3696 82 2 represents represent VERB cana-3696 82 3 the the DET cana-3696 82 4 differential differential ADJ cana-3696 82 5 weights weight NOUN cana-3696 82 6 step.5 step.5 VERB cana-3696 82 7 if if SCONJ cana-3696 82 8 ( ( PUNCT cana-3696 82 9 cost cost NOUN cana-3696 82 10 function function NOUN cana-3696 82 11 stabilizes stabilize VERB cana-3696 82 12 ) ) PUNCT cana-3696 82 13 truncate truncate NOUN cana-3696 82 14 training training NOUN cana-3696 82 15 else else ADV cana-3696 82 16 if if SCONJ cana-3696 82 17 ( ( PUNCT cana-3696 82 18 max max PROPN cana-3696 82 19 . . PUNCT cana-3696 82 20 iterations iteration NOUN cana-3696 82 21 are be AUX cana-3696 82 22 over over ADV cana-3696 82 23 ) ) PUNCT cana-3696 82 24 truncate truncate NOUN cana-3696 82 25 training training NOUN cana-3696 82 26 else else ADV cana-3696 82 27 feedback feedback NOUN cana-3696 82 28 errors error NOUN cana-3696 82 29 as as ADP cana-3696 82 30 inputs input NOUN cana-3696 82 31 to to ADP cana-3696 82 32 subsequent subsequent ADJ cana-3696 82 33 iteration iteration NOUN cana-3696 82 34 . . PUNCT cana-3696 83 1 step.6 step.6 ADJ cana-3696 83 2 if if SCONJ cana-3696 83 3 ( ( PUNCT cana-3696 83 4 error error NOUN cana-3696 83 5 is be AUX cana-3696 83 6 stable stable ADJ cana-3696 83 7 through through ADP cana-3696 83 8 validation validation NOUN cana-3696 83 9 checks check NOUN cana-3696 83 10 i.e. i.e. X cana-3696 83 11 6 6 NUM cana-3696 83 12 consecutive consecutive ADJ cana-3696 83 13 iterations iteration NOUN cana-3696 83 14 ) ) PUNCT cana-3696 83 15 stop stop VERB cana-3696 83 16 training train VERB cana-3696 83 17 else else ADV cana-3696 83 18 if if SCONJ cana-3696 83 19 ( ( PUNCT cana-3696 83 20 maximum maximum ADJ cana-3696 83 21 iterations iteration NOUN cana-3696 83 22 are be AUX cana-3696 83 23 over over ADV cana-3696 83 24 even even ADV cana-3696 83 25 without without ADP cana-3696 83 26 error error NOUN cana-3696 83 27 stabilization stabilization NOUN cana-3696 83 28 ) ) PUNCT cana-3696 83 29 stop stop VERB cana-3696 83 30 training train VERB cana-3696 83 31 else else ADV cana-3696 83 32 { { PUNCT cana-3696 83 33 feed feed VERB cana-3696 83 34 next next ADJ cana-3696 83 35 training training NOUN cana-3696 83 36 vector vector NOUN cana-3696 83 37 back back ADJ cana-3696 83 38 propagation propagation NOUN cana-3696 83 39 of of ADP cana-3696 83 40 error error NOUN cana-3696 83 41 } } PUNCT cana-3696 83 42 communications communication NOUN cana-3696 83 43 on on ADP cana-3696 83 44 applied apply VERB cana-3696 83 45 nonlinear nonlinear ADJ cana-3696 83 46 analysis analysis NOUN cana-3696 83 47 issn issn NOUN cana-3696 83 48 : : PUNCT cana-3696 83 49 1074 1074 NUM cana-3696 83 50 - - PUNCT cana-3696 83 51 133x 133x NUM cana-3696 83 52 vol vol NOUN cana-3696 83 53 32 32 NUM cana-3696 83 54 no no NOUN cana-3696 83 55 . . PUNCT cana-3696 84 1 8s 8s PROPN cana-3696 84 2 ( ( PUNCT cana-3696 84 3 2025 2025 NUM cana-3696 84 4 ) ) PUNCT cana-3696 84 5 488 488 NUM cana-3696 84 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 84 7 step.7 step.7 NOUN cana-3696 84 8 : : PUNCT cana-3696 84 9 vary vary VERB cana-3696 84 10 the the DET cana-3696 84 11 training training NOUN cana-3696 84 12 testing testing NOUN cana-3696 84 13 tenure tenure NOUN cana-3696 84 14 from from ADP cana-3696 84 15 the the DET cana-3696 84 16 dataset dataset NOUN cana-3696 84 17 extracted extract VERB cana-3696 84 18 to to PART cana-3696 84 19 forecast forecast VERB cana-3696 84 20 for for ADP cana-3696 84 21 : : PUNCT cana-3696 84 22 a a X cana-3696 84 23 ) ) PUNCT cana-3696 84 24 long long ADJ cana-3696 84 25 term term NOUN cana-3696 84 26 b b NOUN cana-3696 84 27 ) ) PUNCT cana-3696 84 28 mid mid ADJ cana-3696 84 29 term term NOUN cana-3696 84 30 . . PUNCT cana-3696 85 1 c c X cana-3696 85 2 ) ) PUNCT cana-3696 85 3 short short ADJ cana-3696 85 4 term term NOUN cana-3696 85 5 step.8 step.8 NOUN cana-3696 85 6 compute compute NOUN cana-3696 85 7 performance performance NOUN cana-3696 85 8 metrics metric NOUN cana-3696 85 9 . . PUNCT cana-3696 86 1 the the DET cana-3696 86 2 experimental experimental ADJ cana-3696 86 3 results result NOUN cana-3696 86 4 are be AUX cana-3696 86 5 presented present VERB cana-3696 86 6 subsequently subsequently ADV cana-3696 86 7 . . PUNCT cana-3696 87 1 5 5 X cana-3696 87 2 . . X cana-3696 87 3 experimental experimental ADJ cana-3696 87 4 results result NOUN cana-3696 87 5 the the DET cana-3696 87 6 experimental experimental ADJ cana-3696 87 7 simulations simulation NOUN cana-3696 87 8 have have AUX cana-3696 87 9 been be AUX cana-3696 87 10 done do VERB cana-3696 87 11 on on ADP cana-3696 87 12 matlab matlab PROPN cana-3696 87 13 2024 2024 NUM cana-3696 87 14 on on ADP cana-3696 87 15 a a DET cana-3696 87 16 pc pc NOUN cana-3696 87 17 with with ADP cana-3696 87 18 intel intel PROPN cana-3696 87 19 i7 i7 NOUN cana-3696 87 20 processor processor NOUN cana-3696 87 21 and and CCONJ cana-3696 87 22 32 32 NUM cana-3696 87 23 gb gb NOUN cana-3696 87 24 ram ram NOUN cana-3696 87 25 . . PUNCT cana-3696 88 1 the the DET cana-3696 88 2 experimental experimental ADJ cana-3696 88 3 results result NOUN cana-3696 88 4 have have AUX cana-3696 88 5 been be AUX cana-3696 88 6 presented present VERB cana-3696 88 7 in in ADP cana-3696 88 8 this this DET cana-3696 88 9 section section NOUN cana-3696 88 10 with with ADP cana-3696 88 11 variations variation NOUN cana-3696 88 12 in in ADP cana-3696 88 13 the the DET cana-3696 88 14 forecasting forecasting NOUN cana-3696 88 15 samples sample NOUN cana-3696 88 16 so so SCONJ cana-3696 88 17 as as SCONJ cana-3696 88 18 to to PART cana-3696 88 19 incorporate incorporate VERB cana-3696 88 20 long long ADV cana-3696 88 21 , , PUNCT cana-3696 88 22 mid mid ADJ cana-3696 88 23 and and CCONJ cana-3696 88 24 short short ADJ cana-3696 88 25 term term NOUN cana-3696 88 26 forecasting forecasting NOUN cana-3696 88 27 . . PUNCT cana-3696 89 1 the the DET cana-3696 89 2 tesla tesla PROPN cana-3696 89 3 stocks stock VERB cana-3696 89 4 over over ADP cana-3696 89 5 a a DET cana-3696 89 6 ten ten NUM cana-3696 89 7 year year NOUN cana-3696 89 8 period period NOUN cana-3696 89 9 has have AUX cana-3696 89 10 been be AUX cana-3696 89 11 used use VERB cana-3696 89 12 for for ADP cana-3696 89 13 evaluating evaluate VERB cana-3696 89 14 the the DET cana-3696 89 15 performance performance NOUN cana-3696 89 16 of of ADP cana-3696 89 17 the the DET cana-3696 89 18 proposed propose VERB cana-3696 89 19 algorithm algorithm NOUN cana-3696 89 20 . . PUNCT cana-3696 90 1 a a DET cana-3696 90 2 similar similar ADJ cana-3696 90 3 approach approach NOUN cana-3696 90 4 can can AUX cana-3696 90 5 be be AUX cana-3696 90 6 employed employ VERB cana-3696 90 7 for for ADP cana-3696 90 8 all all DET cana-3696 90 9 the the DET cana-3696 90 10 other other ADJ cana-3696 90 11 stocks stock NOUN cana-3696 90 12 . . PUNCT cana-3696 91 1 fig.1 fig.1 ADJ cana-3696 91 2 statistical statistical ADJ cana-3696 91 3 features feature NOUN cana-3696 91 4 of of ADP cana-3696 91 5 raw raw ADJ cana-3696 91 6 data datum NOUN cana-3696 91 7 figure figure NOUN cana-3696 91 8 1 1 NUM cana-3696 91 9 depicts depict VERB cana-3696 91 10 the the DET cana-3696 91 11 statistical statistical ADJ cana-3696 91 12 features feature NOUN cana-3696 91 13 of of ADP cana-3696 91 14 the the DET cana-3696 91 15 raw raw ADJ cana-3696 91 16 data datum NOUN cana-3696 91 17 . . PUNCT cana-3696 92 1 table table NOUN cana-3696 92 2 1 1 NUM cana-3696 92 3 : : PUNCT cana-3696 92 4 statistical statistical ADJ cana-3696 92 5 feature feature NOUN cana-3696 92 6 of of ADP cana-3696 92 7 raw raw ADJ cana-3696 92 8 data data NOUN cana-3696 92 9 s.no s.no PROPN cana-3696 92 10 . . PROPN cana-3696 92 11 parameter parameter PROPN cana-3696 92 12 value value NOUN cana-3696 92 13 1 1 NUM cana-3696 92 14 samples sample NOUN cana-3696 92 15 3020 3020 NUM cana-3696 92 16 2 2 NUM cana-3696 92 17 min min NOUN cana-3696 92 18 1.455 1.455 NUM cana-3696 92 19 3 3 NUM cana-3696 92 20 max max NOUN cana-3696 92 21 410 410 NUM cana-3696 92 22 4 4 NUM cana-3696 92 23 mean mean NOUN cana-3696 92 24 61.27 61.27 NUM cana-3696 92 25 5 5 NUM cana-3696 92 26 median median NOUN cana-3696 92 27 96.8 96.8 NUM cana-3696 92 28 the the DET cana-3696 92 29 statistical statistical ADJ cana-3696 92 30 features feature NOUN cana-3696 92 31 of of ADP cana-3696 92 32 the the DET cana-3696 92 33 data datum NOUN cana-3696 92 34 are be AUX cana-3696 92 35 presented present VERB cana-3696 92 36 in in ADP cana-3696 92 37 table table NOUN cana-3696 92 38 1 1 NUM cana-3696 92 39 , , PUNCT cana-3696 92 40 for for SCONJ cana-3696 92 41 the the DET cana-3696 92 42 tesla tesla PROPN cana-3696 92 43 dataset dataset VERB cana-3696 92 44 . . PUNCT cana-3696 93 1 fig.2 fig.2 PROPN cana-3696 93 2 long long ADJ cana-3696 93 3 term term NOUN cana-3696 93 4 forecast forecast NOUN cana-3696 93 5 communications communication NOUN cana-3696 93 6 on on ADP cana-3696 93 7 applied apply VERB cana-3696 93 8 nonlinear nonlinear ADJ cana-3696 93 9 analysis analysis NOUN cana-3696 93 10 issn issn NOUN cana-3696 93 11 : : PUNCT cana-3696 93 12 1074 1074 NUM cana-3696 93 13 - - PUNCT cana-3696 93 14 133x 133x NUM cana-3696 93 15 vol vol NOUN cana-3696 93 16 32 32 NUM cana-3696 93 17 no no NOUN cana-3696 93 18 . . PUNCT cana-3696 94 1 8s 8s PROPN cana-3696 94 2 ( ( PUNCT cana-3696 94 3 2025 2025 NUM cana-3696 94 4 ) ) PUNCT cana-3696 94 5 489 489 NUM cana-3696 95 1 https://internationalpubls.com https://internationalpubls.com X cana-3696 95 2 figure figure NOUN cana-3696 95 3 2 2 NUM cana-3696 95 4 presents present VERB cana-3696 95 5 the the DET cana-3696 95 6 mape mape NOUN cana-3696 95 7 results result VERB cana-3696 95 8 for for SCONJ cana-3696 95 9 the the DET cana-3696 95 10 tesla tesla PROPN cana-3696 95 11 stocks stock VERB cana-3696 95 12 over over ADP cana-3696 95 13 a a DET cana-3696 95 14 period period NOUN cana-3696 95 15 of of ADP cana-3696 95 16 1 1 NUM cana-3696 95 17 year year NOUN cana-3696 95 18 . . PUNCT cana-3696 96 1 it it PRON cana-3696 96 2 can can AUX cana-3696 96 3 be be AUX cana-3696 96 4 observed observe VERB cana-3696 96 5 that that SCONJ cana-3696 96 6 the the DET cana-3696 96 7 mape mape NOUN cana-3696 96 8 is be AUX cana-3696 96 9 2.64 2.64 NUM cana-3696 96 10 % % NOUN cana-3696 96 11 . . PUNCT cana-3696 97 1 fig.3 fig.3 PROPN cana-3696 97 2 mid mid ADJ cana-3696 97 3 term term NOUN cana-3696 97 4 forecast forecast NOUN cana-3696 97 5 it it PRON cana-3696 97 6 can can AUX cana-3696 97 7 be be AUX cana-3696 97 8 observed observe VERB cana-3696 97 9 from from ADP cana-3696 97 10 figure figure NOUN cana-3696 97 11 3 3 NUM cana-3696 97 12 that that SCONJ cana-3696 97 13 the the DET cana-3696 97 14 proposed propose VERB cana-3696 97 15 approach approach NOUN cana-3696 97 16 attains attain VERB cana-3696 97 17 an an DET cana-3696 97 18 mape mape NOUN cana-3696 97 19 of of ADP cana-3696 97 20 5.14 5.14 NUM cana-3696 97 21 % % NOUN cana-3696 97 22 for for ADP cana-3696 97 23 the the DET cana-3696 97 24 midterm midterm NOUN cana-3696 97 25 forecast forecast NOUN cana-3696 97 26 . . PUNCT cana-3696 98 1 fig.4 fig.4 PRON cana-3696 98 2 short short ADJ cana-3696 98 3 term term NOUN cana-3696 98 4 forecast forecast NOUN cana-3696 98 5 it it PRON cana-3696 98 6 can can AUX cana-3696 98 7 be be AUX cana-3696 98 8 observed observe VERB cana-3696 98 9 from from ADP cana-3696 98 10 figure figure NOUN cana-3696 98 11 4 4 NUM cana-3696 98 12 that that SCONJ cana-3696 98 13 the the DET cana-3696 98 14 proposed propose VERB cana-3696 98 15 approach approach NOUN cana-3696 98 16 attains attain VERB cana-3696 98 17 an an DET cana-3696 98 18 accuracy accuracy NOUN cana-3696 98 19 of of ADP cana-3696 98 20 4.46 4.46 NUM cana-3696 98 21 % % NOUN cana-3696 98 22 . . PUNCT cana-3696 99 1 table table NOUN cana-3696 99 2 2 2 NUM cana-3696 99 3 . . X cana-3696 99 4 mape mape PROPN cana-3696 99 5 comparison comparison PROPN cana-3696 99 6 s.no s.no PROPN cana-3696 99 7 . . PROPN cana-3696 99 8 duration duration NOUN cana-3696 99 9 days day NOUN cana-3696 99 10 ahead ahead ADV cana-3696 99 11 mape mape NOUN cana-3696 99 12 accuracy% accuracy% PUNCT cana-3696 99 13 1 1 NUM cana-3696 99 14 long long ADJ cana-3696 99 15 term term NOUN cana-3696 99 16 365 365 NUM cana-3696 99 17 2 2 NUM cana-3696 99 18 .. .. SYM cana-3696 99 19 64 64 NUM cana-3696 99 20 % % NOUN cana-3696 99 21 97.36 97.36 NUM cana-3696 99 22 % % NOUN cana-3696 99 23 2 2 NUM cana-3696 99 24 mid mid ADJ cana-3696 99 25 term term NOUN cana-3696 99 26 100 100 NUM cana-3696 99 27 5.14 5.14 NUM cana-3696 99 28 % % NOUN cana-3696 99 29 94.86 94.86 NUM cana-3696 99 30 % % NOUN cana-3696 99 31 3 3 NUM cana-3696 99 32 short short ADJ cana-3696 99 33 term term NOUN cana-3696 99 34 10 10 NUM cana-3696 99 35 4.46 4.46 NUM cana-3696 99 36 % % NOUN cana-3696 99 37 95.54 95.54 NUM cana-3696 99 38 % % NOUN cana-3696 99 39 4 4 NUM cana-3696 99 40 . . PUNCT cana-3696 100 1 mean mean PROPN cana-3696 100 2 mape mape NOUN cana-3696 100 3 3 3 NUM cana-3696 100 4 % % NOUN cana-3696 100 5 97 97 NUM cana-3696 100 6 % % NOUN cana-3696 100 7 the the DET cana-3696 100 8 comparative comparative ADJ cana-3696 100 9 analysis analysis NOUN cana-3696 100 10 of of ADP cana-3696 100 11 the the DET cana-3696 100 12 mape mape NOUN cana-3696 100 13 for for ADP cana-3696 100 14 all all DET cana-3696 100 15 the the DET cana-3696 100 16 3 3 NUM cana-3696 100 17 forecasting forecasting NOUN cana-3696 100 18 models model NOUN cana-3696 100 19 indicate indicate VERB cana-3696 100 20 the the DET cana-3696 100 21 following follow VERB cana-3696 100 22 : : PUNCT cana-3696 100 23 1 1 X cana-3696 100 24 ) ) PUNCT cana-3696 100 25 the the DET cana-3696 100 26 long long ADJ cana-3696 100 27 term term NOUN cana-3696 100 28 forecast forecast NOUN cana-3696 100 29 yields yield VERB cana-3696 100 30 the the DET cana-3696 100 31 minimum minimum ADJ cana-3696 100 32 mape mape NOUN cana-3696 100 33 thereby thereby ADV cana-3696 100 34 rendering render VERB cana-3696 100 35 maximum maximum ADJ cana-3696 100 36 accuracy accuracy NOUN cana-3696 100 37 of of ADP cana-3696 100 38 forecasting forecasting NOUN cana-3696 100 39 , , PUNCT cana-3696 100 40 for for ADP cana-3696 100 41 the the DET cana-3696 100 42 tesla tesla PROPN cana-3696 100 43 stocks stock NOUN cana-3696 100 44 . . PUNCT cana-3696 101 1 2 2 X cana-3696 101 2 ) ) PUNCT cana-3696 101 3 the the DET cana-3696 101 4 mid mid ADJ cana-3696 101 5 term term NOUN cana-3696 101 6 forecast forecast NOUN cana-3696 101 7 attains attain VERB cana-3696 101 8 the the DET cana-3696 101 9 maximum maximum ADJ cana-3696 101 10 mape mape NOUN cana-3696 101 11 thereby thereby ADV cana-3696 101 12 rendering render VERB cana-3696 101 13 the the DET cana-3696 101 14 minimum minimum ADJ cana-3696 101 15 accuracy accuracy NOUN cana-3696 101 16 for for ADP cana-3696 101 17 the the DET cana-3696 101 18 tesla tesla PROPN cana-3696 101 19 stocks stock NOUN cana-3696 101 20 . . PUNCT cana-3696 102 1 3 3 X cana-3696 102 2 ) ) PUNCT cana-3696 102 3 short short ADJ cana-3696 102 4 term term NOUN cana-3696 102 5 forecasting forecasting NOUN cana-3696 102 6 attains attain NOUN cana-3696 102 7 slightly slightly ADV cana-3696 102 8 lower low ADJ cana-3696 102 9 mape mape NOUN cana-3696 102 10 than than ADP cana-3696 102 11 mid mid ADJ cana-3696 102 12 - - NOUN cana-3696 102 13 term term NOUN cana-3696 102 14 forecasting forecasting NOUN cana-3696 102 15 for for ADP cana-3696 102 16 the the DET cana-3696 102 17 tesla tesla PROPN cana-3696 102 18 stocks stock NOUN cana-3696 102 19 . . PUNCT cana-3696 103 1 communications communication NOUN cana-3696 103 2 on on ADP cana-3696 103 3 applied apply VERB cana-3696 103 4 nonlinear nonlinear ADJ cana-3696 103 5 analysis analysis NOUN cana-3696 103 6 issn issn NOUN cana-3696 103 7 : : PUNCT cana-3696 103 8 1074 1074 NUM cana-3696 103 9 - - PUNCT cana-3696 103 10 133x 133x NUM cana-3696 103 11 vol vol NOUN cana-3696 103 12 32 32 NUM cana-3696 103 13 no no NOUN cana-3696 103 14 . . PUNCT cana-3696 104 1 8s 8s PROPN cana-3696 104 2 ( ( PUNCT cana-3696 104 3 2025 2025 NUM cana-3696 104 4 ) ) PUNCT cana-3696 104 5 490 490 NUM cana-3696 104 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 104 7 a a DET cana-3696 104 8 similar similar ADJ cana-3696 104 9 analysis analysis NOUN cana-3696 104 10 has have AUX cana-3696 104 11 been be AUX cana-3696 104 12 done do VERB cana-3696 104 13 for for ADP cana-3696 104 14 stocks stock NOUN cana-3696 104 15 such such ADJ cana-3696 104 16 as as ADP cana-3696 104 17 microsoft microsoft PROPN cana-3696 104 18 , , PUNCT cana-3696 104 19 google google PROPN cana-3696 104 20 , , PUNCT cana-3696 104 21 amazon amazon NOUN cana-3696 104 22 , , PUNCT cana-3696 104 23 apple apple NOUN cana-3696 104 24 and and CCONJ cana-3696 104 25 ibm ibm PROPN cana-3696 104 26 . . PUNCT cana-3696 105 1 the the DET cana-3696 105 2 mean mean ADJ cana-3696 105 3 mape mape NOUN cana-3696 105 4 obtained obtain VERB cana-3696 105 5 over over ADP cana-3696 105 6 all all DET cana-3696 105 7 stocks stock NOUN cana-3696 105 8 happens happen VERB cana-3696 105 9 to to PART cana-3696 105 10 be be AUX cana-3696 105 11 2.18 2.18 NUM cana-3696 105 12 % % NOUN cana-3696 105 13 . . PUNCT cana-3696 106 1 a a DET cana-3696 106 2 comparative comparative ADJ cana-3696 106 3 analysis analysis NOUN cana-3696 106 4 in in ADP cana-3696 106 5 terms term NOUN cana-3696 106 6 of of ADP cana-3696 106 7 forecasting forecast VERB cana-3696 106 8 mape mape NOUN cana-3696 106 9 is be AUX cana-3696 106 10 presented present VERB cana-3696 106 11 in in ADP cana-3696 106 12 table table NOUN cana-3696 106 13 3 3 NUM cana-3696 106 14 . . PUNCT cana-3696 106 15 table table NOUN cana-3696 106 16 3 3 NUM cana-3696 106 17 . . PUNCT cana-3696 106 18 comparison comparison NOUN cana-3696 106 19 with with ADP cana-3696 106 20 previous previous ADJ cana-3696 106 21 work work NOUN cana-3696 106 22 s. s. PROPN cana-3696 107 1 no no INTJ cana-3696 107 2 . . PUNCT cana-3696 108 1 authors author NOUN cana-3696 108 2 approach approach VERB cana-3696 108 3 mape mape NOUN cana-3696 108 4 1 1 NUM cana-3696 108 5 . . PUNCT cana-3696 109 1 kim kim PROPN cana-3696 109 2 et et PROPN cana-3696 109 3 al al PROPN cana-3696 109 4 . . PUNCT cana-3696 110 1 [ [ X cana-3696 110 2 20 20 NUM cana-3696 110 3 ] ] PUNCT cana-3696 110 4 transfer transfer NOUN cana-3696 110 5 entropy entropy NOUN cana-3696 110 6 augmented augment VERB cana-3696 110 7 feature feature NOUN cana-3696 110 8 learning learn VERB cana-3696 110 9 43 43 NUM cana-3696 110 10 % % NOUN cana-3696 110 11 2 2 NUM cana-3696 110 12 . . PUNCT cana-3696 110 13 li li PROPN cana-3696 110 14 et et PROPN cana-3696 110 15 al al PROPN cana-3696 110 16 . . PUNCT cana-3696 111 1 [ [ X cana-3696 111 2 21 21 NUM cana-3696 111 3 ] ] PUNCT cana-3696 111 4 lstm lstm NOUN cana-3696 111 5 with with ADP cana-3696 111 6 sentiment sentiment NOUN cana-3696 111 7 analysis analysis NOUN cana-3696 111 8 51.4 51.4 NUM cana-3696 111 9 % % NOUN cana-3696 111 10 3 3 NUM cana-3696 111 11 . . PUNCT cana-3696 111 12 althelaya althelaya PROPN cana-3696 111 13 et et PROPN cana-3696 111 14 al al PROPN cana-3696 111 15 . . PUNCT cana-3696 112 1 [ [ X cana-3696 112 2 22 22 NUM cana-3696 112 3 ] ] X cana-3696 112 4 ewt ewt PROPN cana-3696 112 5 with with ADP cana-3696 112 6 stacked stack VERB cana-3696 112 7 lstm lstm PROPN cana-3696 112 8 swt swt PROPN cana-3696 112 9 with with ADP cana-3696 112 10 stacked stack VERB cana-3696 112 11 lstm lstm NOUN cana-3696 112 12 5.548 5.548 NUM cana-3696 112 13 % % NOUN cana-3696 112 14 12.888 12.888 NUM cana-3696 112 15 % % NOUN cana-3696 112 16 4 4 NUM cana-3696 112 17 . . PUNCT cana-3696 113 1 gao gao PROPN cana-3696 113 2 et et PROPN cana-3696 113 3 al al PROPN cana-3696 113 4 . . PUNCT cana-3696 114 1 [ [ X cana-3696 114 2 23 23 NUM cana-3696 114 3 ] ] X cana-3696 114 4 genetic genetic ADJ cana-3696 114 5 algorithm algorithm NOUN cana-3696 114 6 with with ADP cana-3696 114 7 multi multi ADJ cana-3696 114 8 branch branch NOUN cana-3696 114 9 cnn cnn PROPN cana-3696 114 10 ( ( PUNCT cana-3696 114 11 gambcnn gambcnn PROPN cana-3696 114 12 ) ) PUNCT cana-3696 114 13 17 17 NUM cana-3696 114 14 % % NOUN cana-3696 114 15 ( ( PUNCT cana-3696 114 16 best good ADJ cana-3696 114 17 case case NOUN cana-3696 114 18 ) ) PUNCT cana-3696 114 19 5 5 NUM cana-3696 114 20 . . X cana-3696 114 21 subbakar subbakar PROPN cana-3696 114 22 et et PROPN cana-3696 114 23 al al PROPN cana-3696 114 24 . . PUNCT cana-3696 115 1 [ [ X cana-3696 115 2 24 24 NUM cana-3696 115 3 ] ] X cana-3696 115 4 arima arima NOUN cana-3696 115 5 14 14 NUM cana-3696 115 6 % % NOUN cana-3696 115 7 6 6 NUM cana-3696 115 8 . . PUNCT cana-3696 116 1 gulmez gulmez VERB cana-3696 116 2 et et PROPN cana-3696 116 3 al al PROPN cana-3696 116 4 . . PUNCT cana-3696 117 1 [ [ X cana-3696 117 2 25 25 NUM cana-3696 117 3 ] ] X cana-3696 117 4 lstm lstm ADJ cana-3696 117 5 - - PUNCT cana-3696 117 6 aro aro NOUN cana-3696 117 7 lstm lstm PROPN cana-3696 117 8 - - PUNCT cana-3696 117 9 ga ga PROPN cana-3696 117 10 lstm1d lstm1d PROPN cana-3696 117 11 lstm2d lstm2d PROPN cana-3696 117 12 lstm3d lstm3d VERB cana-3696 117 13 6.58 6.58 NUM cana-3696 117 14 % % NOUN cana-3696 117 15 7.583 7.583 NUM cana-3696 117 16 % % NOUN cana-3696 117 17 8.889 8.889 NUM cana-3696 117 18 % % NOUN cana-3696 117 19 8.659 8.659 NUM cana-3696 117 20 % % NOUN cana-3696 117 21 8.784 8.784 NUM cana-3696 117 22 % % NOUN cana-3696 117 23 6 6 NUM cana-3696 117 24 ray ray NOUN cana-3696 117 25 et et PROPN cana-3696 117 26 al al PROPN cana-3696 117 27 . . PUNCT cana-3696 118 1 [ [ X cana-3696 118 2 26 26 NUM cana-3696 118 3 ] ] X cana-3696 118 4 bert bert NOUN cana-3696 118 5 - - PUNCT cana-3696 118 6 lstm lstm PROPN cana-3696 118 7 gru gru PROPN cana-3696 118 8 tcn tcn PROPN cana-3696 118 9 deep deep ADJ cana-3696 118 10 transformer transformer NOUN cana-3696 118 11 mb mb NOUN cana-3696 118 12 - - ADJ cana-3696 118 13 tcn tcn ADJ cana-3696 118 14 28 28 NUM cana-3696 118 15 % % NOUN cana-3696 118 16 26 26 NUM cana-3696 118 17 % % NOUN cana-3696 118 18 20 20 NUM cana-3696 118 19 % % NOUN cana-3696 118 20 18 18 NUM cana-3696 118 21 % % NOUN cana-3696 118 22 16 16 NUM cana-3696 118 23 % % NOUN cana-3696 118 24 8 8 NUM cana-3696 118 25 .. .. PUNCT cana-3696 118 26 zhan zhan NUM cana-3696 118 27 et et PROPN cana-3696 118 28 al al PROPN cana-3696 118 29 . . PUNCT cana-3696 119 1 [ [ X cana-3696 119 2 27 27 NUM cana-3696 119 3 ] ] X cana-3696 119 4 sliding slide VERB cana-3696 119 5 window window NOUN cana-3696 119 6 with with ADP cana-3696 119 7 lstm lstm NOUN cana-3696 119 8 5.61 5.61 NUM cana-3696 119 9 % % NOUN cana-3696 119 10 ( ( PUNCT cana-3696 119 11 best good ADJ cana-3696 119 12 case case NOUN cana-3696 119 13 ) ) PUNCT cana-3696 119 14 9 9 NUM cana-3696 119 15 . . PUNCT cana-3696 119 16 proposed propose VERB cana-3696 119 17 approach approach NOUN cana-3696 119 18 momentum momentum NOUN cana-3696 119 19 based base VERB cana-3696 119 20 gradient gradient ADJ cana-3696 119 21 descent descent NOUN cana-3696 119 22 , , PUNCT cana-3696 119 23 with with ADP cana-3696 119 24 sampled sample VERB cana-3696 119 25 window window NOUN cana-3696 119 26 and and CCONJ cana-3696 119 27 sentiment sentiment NOUN cana-3696 119 28 analysis analysis NOUN cana-3696 119 29 . . PUNCT cana-3696 120 1 2.18 2.18 NUM cana-3696 120 2 % % NOUN cana-3696 120 3 ( ( PUNCT cana-3696 120 4 over over ADP cana-3696 120 5 all all DET cana-3696 120 6 stocks stock NOUN cana-3696 120 7 ) ) PUNCT cana-3696 120 8 a a DET cana-3696 120 9 comparison comparison NOUN cana-3696 120 10 with with ADP cana-3696 120 11 existing exist VERB cana-3696 120 12 approaches approach NOUN cana-3696 120 13 such such ADJ cana-3696 120 14 as as ADP cana-3696 120 15 effective effective ADJ cana-3696 120 16 transfer transfer NOUN cana-3696 120 17 entropy entropy NOUN cana-3696 120 18 [ [ X cana-3696 120 19 20 20 NUM cana-3696 120 20 ] ] PUNCT cana-3696 120 21 , , PUNCT cana-3696 120 22 lstm lstm NOUN cana-3696 120 23 combined combine VERB cana-3696 120 24 with with ADP cana-3696 120 25 sentiment sentiment NOUN cana-3696 120 26 analysis analysis NOUN cana-3696 120 27 [ [ X cana-3696 120 28 21 21 NUM cana-3696 120 29 ] ] PUNCT cana-3696 120 30 , , PUNCT cana-3696 120 31 empirical empirical ADJ cana-3696 120 32 wavelet wavelet NOUN cana-3696 120 33 transform transform NOUN cana-3696 120 34 ( ( PUNCT cana-3696 120 35 ewt ewt PROPN cana-3696 120 36 ) ) PUNCT cana-3696 120 37 with with ADP cana-3696 120 38 lstm lstm NOUN cana-3696 120 39 [ [ X cana-3696 120 40 22 22 NUM cana-3696 120 41 ] ] PUNCT cana-3696 120 42 , , PUNCT cana-3696 120 43 ga ga PROPN cana-3696 120 44 with with ADP cana-3696 120 45 mbcnn mbcnn PROPN cana-3696 120 46 [ [ X cana-3696 120 47 23 23 NUM cana-3696 120 48 ] ] PUNCT cana-3696 120 49 , , PUNCT cana-3696 120 50 arima arima PROPN cana-3696 120 51 [ [ X cana-3696 120 52 24]ga 24]ga NOUN cana-3696 120 53 - - PUNCT cana-3696 120 54 sltm sltm NOUN cana-3696 120 55 and and CCONJ cana-3696 120 56 ga ga NOUN cana-3696 120 57 - - PUNCT cana-3696 120 58 aro aro NOUN cana-3696 120 59 [ [ X cana-3696 120 60 25 25 NUM cana-3696 120 61 ] ] PUNCT cana-3696 120 62 , , PUNCT cana-3696 120 63 bert bert NOUN cana-3696 120 64 - - PUNCT cana-3696 120 65 lstm lstm PROPN cana-3696 120 66 , , PUNCT cana-3696 120 67 gru gru PROPN cana-3696 120 68 , , PUNCT cana-3696 120 69 tcn tcn PROPN cana-3696 120 70 , , PUNCT cana-3696 120 71 deep deep ADJ cana-3696 120 72 transformer transformer NOUN cana-3696 120 73 , , PUNCT cana-3696 120 74 mb mb NOUN cana-3696 120 75 - - ADJ cana-3696 120 76 tcn tcn ADJ cana-3696 120 77 [ [ X cana-3696 120 78 26 26 NUM cana-3696 120 79 ] ] PUNCT cana-3696 120 80 and and CCONJ cana-3696 120 81 sliding slide VERB cana-3696 120 82 window window NOUN cana-3696 120 83 with with ADP cana-3696 120 84 lstm lstm NOUN cana-3696 120 85 [ [ X cana-3696 120 86 27 27 NUM cana-3696 120 87 ] ] SYM cana-3696 120 88 based base VERB cana-3696 120 89 models model NOUN cana-3696 120 90 . . PUNCT cana-3696 121 1 thus thus ADV cana-3696 121 2 the the DET cana-3696 121 3 proposed propose VERB cana-3696 121 4 approach approach NOUN cana-3696 121 5 comprising comprising NOUN cana-3696 121 6 of of ADP cana-3696 121 7 the the DET cana-3696 121 8 dwt dwt NOUN cana-3696 121 9 and and CCONJ cana-3696 121 10 moving move VERB cana-3696 121 11 average average ADJ cana-3696 121 12 gradient gradient NOUN cana-3696 121 13 combined combine VERB cana-3696 121 14 with with ADP cana-3696 121 15 sentiment sentiment NOUN cana-3696 121 16 analysis analysis NOUN cana-3696 121 17 clearly clearly ADV cana-3696 121 18 outperforms outperform VERB cana-3696 121 19 baseline baseline ADJ cana-3696 121 20 approaches approach NOUN cana-3696 121 21 in in ADP cana-3696 121 22 terms term NOUN cana-3696 121 23 of of ADP cana-3696 121 24 the the DET cana-3696 121 25 mean mean ADJ cana-3696 121 26 absolute absolute ADJ cana-3696 121 27 percentage percentage NOUN cana-3696 121 28 error error NOUN cana-3696 121 29 ( ( PUNCT cana-3696 121 30 mape mape NOUN cana-3696 121 31 ) ) PUNCT cana-3696 121 32 . . PUNCT cana-3696 122 1 conclusion conclusion NOUN cana-3696 122 2 this this DET cana-3696 122 3 paper paper NOUN cana-3696 122 4 presents present VERB cana-3696 122 5 a a DET cana-3696 122 6 dwt dwt NOUN cana-3696 122 7 - - PUNCT cana-3696 122 8 neural neural ADJ cana-3696 122 9 network network NOUN cana-3696 122 10 based base VERB cana-3696 122 11 approach approach NOUN cana-3696 122 12 for for ADP cana-3696 122 13 forecasting forecast VERB cana-3696 122 14 stock stock NOUN cana-3696 122 15 trends trend NOUN cana-3696 122 16 over over ADP cana-3696 122 17 a a DET cana-3696 122 18 varied varied ADJ cana-3696 122 19 interval interval NOUN cana-3696 122 20 period period NOUN cana-3696 122 21 . . PUNCT cana-3696 123 1 the the DET cana-3696 123 2 categorization categorization NOUN cana-3696 123 3 of of ADP cana-3696 123 4 the the DET cana-3696 123 5 forecasting forecasting NOUN cana-3696 123 6 has have AUX cana-3696 123 7 been be AUX cana-3696 123 8 done do VERB cana-3696 123 9 based base VERB cana-3696 123 10 on on ADP cana-3696 123 11 the the DET cana-3696 123 12 number number NOUN cana-3696 123 13 of of ADP cana-3696 123 14 samples sample NOUN cana-3696 123 15 ahead ahead ADV cana-3696 123 16 in in ADP cana-3696 123 17 forecasting forecasting NOUN cana-3696 123 18 . . PUNCT cana-3696 124 1 a a DET cana-3696 124 2 365 365 NUM cana-3696 124 3 , , PUNCT cana-3696 124 4 100 100 NUM cana-3696 124 5 and and CCONJ cana-3696 124 6 10 10 NUM cana-3696 124 7 day day NOUN cana-3696 124 8 split split NOUN cana-3696 124 9 has have AUX cana-3696 124 10 been be AUX cana-3696 124 11 chosen choose VERB cana-3696 124 12 for for ADP cana-3696 124 13 the the DET cana-3696 124 14 long long ADJ cana-3696 124 15 , , PUNCT cana-3696 124 16 mid mid ADJ cana-3696 124 17 and and CCONJ cana-3696 124 18 communications communication NOUN cana-3696 124 19 on on ADP cana-3696 124 20 applied apply VERB cana-3696 124 21 nonlinear nonlinear ADJ cana-3696 124 22 analysis analysis NOUN cana-3696 124 23 issn issn NOUN cana-3696 124 24 : : PUNCT cana-3696 124 25 1074 1074 NUM cana-3696 124 26 - - PUNCT cana-3696 124 27 133x 133x NUM cana-3696 124 28 vol vol NOUN cana-3696 124 29 32 32 NUM cana-3696 124 30 no no NOUN cana-3696 124 31 . . PUNCT cana-3696 125 1 8s 8s PROPN cana-3696 125 2 ( ( PUNCT cana-3696 125 3 2025 2025 NUM cana-3696 125 4 ) ) PUNCT cana-3696 125 5 491 491 NUM cana-3696 126 1 https://internationalpubls.com https://internationalpubls.com X cana-3696 126 2 short short ADJ cana-3696 126 3 term term NOUN cana-3696 126 4 forecasts forecast NOUN cana-3696 126 5 respectively respectively ADV cana-3696 126 6 . . PUNCT cana-3696 127 1 an an DET cana-3696 127 2 illustration illustration NOUN cana-3696 127 3 analysis analysis NOUN cana-3696 127 4 has have AUX cana-3696 127 5 been be AUX cana-3696 127 6 made make VERB cana-3696 127 7 for for ADP cana-3696 127 8 the the DET cana-3696 127 9 tesla tesla PROPN cana-3696 127 10 stocks stock NOUN cana-3696 127 11 over over ADP cana-3696 127 12 the the DET cana-3696 127 13 variable variable ADJ cana-3696 127 14 forecasting forecasting NOUN cana-3696 127 15 period period NOUN cana-3696 127 16 . . PUNCT cana-3696 128 1 it it PRON cana-3696 128 2 has have AUX cana-3696 128 3 been be AUX cana-3696 128 4 shown show VERB cana-3696 128 5 that that SCONJ cana-3696 128 6 the the DET cana-3696 128 7 proposed propose VERB cana-3696 128 8 approach approach NOUN cana-3696 128 9 attains attain VERB cana-3696 128 10 a a DET cana-3696 128 11 forecasting forecasting NOUN cana-3696 128 12 accuracy accuracy NOUN cana-3696 128 13 of of ADP cana-3696 128 14 97.36 97.36 NUM cana-3696 128 15 % % NOUN cana-3696 128 16 , , PUNCT cana-3696 128 17 94.86 94.86 NUM cana-3696 128 18 % % NOUN cana-3696 128 19 and and CCONJ cana-3696 128 20 95.54 95.54 NUM cana-3696 128 21 % % NOUN cana-3696 128 22 for for ADP cana-3696 128 23 long long ADJ cana-3696 128 24 , , PUNCT cana-3696 128 25 mid mid ADJ cana-3696 128 26 and and CCONJ cana-3696 128 27 short short ADJ cana-3696 129 1 term term NOUN cana-3696 129 2 forecasts forecast NOUN cana-3696 129 3 respectively respectively ADV cana-3696 129 4 , , PUNCT cana-3696 129 5 with with ADP cana-3696 129 6 a a DET cana-3696 129 7 mean mean ADJ cana-3696 129 8 mape mape NOUN cana-3696 129 9 of of ADP cana-3696 129 10 3 3 NUM cana-3696 129 11 % % NOUN cana-3696 129 12 across across ADP cana-3696 129 13 all all DET cana-3696 129 14 intervals interval NOUN cana-3696 129 15 of of ADP cana-3696 129 16 forecast forecast NOUN cana-3696 129 17 . . PUNCT cana-3696 130 1 the the DET cana-3696 130 2 model model NOUN cana-3696 130 3 also also ADV cana-3696 130 4 attains attain VERB cana-3696 130 5 an an DET cana-3696 130 6 mape mape NOUN cana-3696 130 7 of of ADP cana-3696 130 8 2.18 2.18 NUM cana-3696 130 9 % % NOUN cana-3696 130 10 across across ADP cana-3696 130 11 various various ADJ cana-3696 130 12 stocks stock NOUN cana-3696 130 13 for for ADP cana-3696 130 14 benchmark benchmark ADJ cana-3696 130 15 s&p s&p PROPN cana-3696 130 16 500 500 NUM cana-3696 130 17 dataset dataset NOUN cana-3696 130 18 obtained obtain VERB cana-3696 130 19 from from ADP cana-3696 130 20 yahoo yahoo PROPN cana-3696 130 21 finance finance NOUN cana-3696 130 22 . . PUNCT cana-3696 131 1 a a DET cana-3696 131 2 comparative comparative ADJ cana-3696 131 3 analysis analysis NOUN cana-3696 131 4 with with ADP cana-3696 131 5 existing exist VERB cana-3696 131 6 models model NOUN cana-3696 131 7 shows show VERB cana-3696 131 8 that that SCONJ cana-3696 131 9 the the DET cana-3696 131 10 proposed propose VERB cana-3696 131 11 approach approach NOUN cana-3696 131 12 outperforms outperform VERB cana-3696 131 13 the the DET cana-3696 131 14 baseline baseline NOUN cana-3696 131 15 approaches approach NOUN cana-3696 131 16 in in ADP cana-3696 131 17 terms term NOUN cana-3696 131 18 of of ADP cana-3696 131 19 forecasting forecasting NOUN cana-3696 131 20 accuracy accuracy NOUN cana-3696 131 21 . . PUNCT cana-3696 132 1 references reference NOUN cana-3696 132 2 [ [ X cana-3696 132 3 1 1 X cana-3696 132 4 ] ] X cana-3696 132 5 y. y. PROPN cana-3696 132 6 wang wang PROPN cana-3696 132 7 and and CCONJ cana-3696 132 8 y. y. PROPN cana-3696 132 9 guo guo PROPN cana-3696 132 10 , , PUNCT cana-3696 132 11 " " PUNCT cana-3696 132 12 forecasting forecasting NOUN cana-3696 132 13 method method NOUN cana-3696 132 14 of of ADP cana-3696 132 15 stock stock NOUN cana-3696 132 16 market market NOUN cana-3696 132 17 volatility volatility NOUN cana-3696 132 18 in in ADP cana-3696 132 19 time time NOUN cana-3696 132 20 series series PROPN cana-3696 132 21 data datum NOUN cana-3696 132 22 based base VERB cana-3696 132 23 on on ADP cana-3696 132 24 mixed mixed ADJ cana-3696 132 25 model model NOUN cana-3696 132 26 of of ADP cana-3696 132 27 arima arima PROPN cana-3696 132 28 and and CCONJ cana-3696 132 29 xgboost xgboost NOUN cana-3696 132 30 , , PUNCT cana-3696 132 31 " " PUNCT cana-3696 132 32 in in ADP cana-3696 132 33 china china PROPN cana-3696 132 34 communications communications PROPN cana-3696 132 35 , , PUNCT cana-3696 132 36 vol vol NOUN cana-3696 132 37 . . PROPN cana-3696 132 38 17 17 NUM cana-3696 132 39 , , PUNCT cana-3696 132 40 no no INTJ cana-3696 132 41 . . NOUN cana-3696 132 42 3 3 NUM cana-3696 132 43 , , PUNCT cana-3696 132 44 pp pp ADJ cana-3696 132 45 . . PUNCT cana-3696 133 1 205 205 NUM cana-3696 133 2 - - SYM cana-3696 133 3 221 221 NUM cana-3696 133 4 , , PUNCT cana-3696 133 5 march march PROPN cana-3696 133 6 2020 2020 NUM cana-3696 133 7 . . PUNCT cana-3696 134 1 [ [ X cana-3696 134 2 2 2 NUM cana-3696 134 3 ] ] PUNCT cana-3696 134 4 a. a. NOUN cana-3696 134 5 thavaneswaran thavaneswaran NOUN cana-3696 134 6 , , PUNCT cana-3696 134 7 y. y. PROPN cana-3696 134 8 liang liang PROPN cana-3696 134 9 , , PUNCT cana-3696 134 10 z. z. PROPN cana-3696 134 11 zhu zhu PROPN cana-3696 134 12 and and CCONJ cana-3696 134 13 r. r. PROPN cana-3696 134 14 k. k. PROPN cana-3696 134 15 thulasiram thulasiram PROPN cana-3696 134 16 , , PUNCT cana-3696 134 17 " " PUNCT cana-3696 134 18 novel novel ADJ cana-3696 134 19 data data NOUN cana-3696 134 20 - - PUNCT cana-3696 134 21 driven drive VERB cana-3696 134 22 fuzzy fuzzy ADJ cana-3696 134 23 algorithmic algorithmic ADJ cana-3696 134 24 volatility volatility NOUN cana-3696 134 25 forecasting forecasting NOUN cana-3696 134 26 models model NOUN cana-3696 134 27 with with ADP cana-3696 134 28 applications application NOUN cana-3696 134 29 to to ADP cana-3696 134 30 algorithmic algorithmic ADJ cana-3696 134 31 trading trading NOUN cana-3696 134 32 , , PUNCT cana-3696 134 33 " " PUNCT cana-3696 134 34 2020 2020 NUM cana-3696 134 35 ieee ieee PROPN cana-3696 134 36 international international ADJ cana-3696 134 37 conference conference NOUN cana-3696 134 38 on on ADP cana-3696 134 39 fuzzy fuzzy ADJ cana-3696 134 40 systems system NOUN cana-3696 134 41 ( ( PUNCT cana-3696 134 42 fuzz fuzz NOUN cana-3696 134 43 - - PUNCT cana-3696 134 44 ieee ieee NOUN cana-3696 134 45 ) ) PUNCT cana-3696 134 46 , , PUNCT cana-3696 134 47 glasgow glasgow PROPN cana-3696 134 48 , , PUNCT cana-3696 134 49 uk uk PROPN cana-3696 134 50 , , PUNCT cana-3696 134 51 2020 2020 NUM cana-3696 134 52 , , PUNCT cana-3696 134 53 pp pp ADV cana-3696 134 54 . . PUNCT cana-3696 135 1 1 1 NUM cana-3696 135 2 - - SYM cana-3696 135 3 8 8 NUM cana-3696 135 4 . . PUNCT cana-3696 136 1 [ [ X cana-3696 136 2 3 3 X cana-3696 136 3 ] ] X cana-3696 136 4 b. b. PROPN cana-3696 136 5 d. d. PROPN cana-3696 136 6 shivahare shivahare PROPN cana-3696 136 7 , , PUNCT cana-3696 136 8 s. s. PROPN cana-3696 136 9 suman suman PROPN cana-3696 136 10 , , PUNCT cana-3696 136 11 s. s. PROPN cana-3696 136 12 s. s. PROPN cana-3696 136 13 n. n. PROPN cana-3696 136 14 challapalli challapalli PROPN cana-3696 136 15 , , PUNCT cana-3696 136 16 p. p. PROPN cana-3696 136 17 kaushik kaushik PROPN cana-3696 136 18 , , PUNCT cana-3696 136 19 a. a. PROPN cana-3696 136 20 d. d. PROPN cana-3696 136 21 gupta gupta PROPN cana-3696 136 22 and and CCONJ cana-3696 136 23 v. v. ADP cana-3696 136 24 bibhu bibhu ADJ cana-3696 136 25 , , PUNCT cana-3696 136 26 " " PUNCT cana-3696 136 27 survey survey NOUN cana-3696 136 28 paper paper NOUN cana-3696 136 29 : : PUNCT cana-3696 136 30 comparative comparative ADJ cana-3696 136 31 study study NOUN cana-3696 136 32 of of ADP cana-3696 136 33 machine machine NOUN cana-3696 136 34 learning learn VERB cana-3696 136 35 techniques technique NOUN cana-3696 136 36 and and CCONJ cana-3696 136 37 its its PRON cana-3696 136 38 recent recent ADJ cana-3696 136 39 applications application NOUN cana-3696 136 40 , , PUNCT cana-3696 136 41 " " PUNCT cana-3696 136 42 2022 2022 NUM cana-3696 136 43 2nd 2nd ADJ cana-3696 136 44 international international ADJ cana-3696 136 45 conference conference NOUN cana-3696 136 46 on on ADP cana-3696 136 47 innovative innovative ADJ cana-3696 136 48 practices practice NOUN cana-3696 136 49 in in ADP cana-3696 136 50 technology technology NOUN cana-3696 136 51 and and CCONJ cana-3696 136 52 management management NOUN cana-3696 136 53 ( ( PUNCT cana-3696 136 54 iciptm iciptm NOUN cana-3696 136 55 ) ) PUNCT cana-3696 136 56 , , PUNCT cana-3696 136 57 gautam gautam PROPN cana-3696 136 58 buddha buddha PROPN cana-3696 136 59 nagar nagar PROPN cana-3696 136 60 , , PUNCT cana-3696 136 61 india india PROPN cana-3696 136 62 , , PUNCT cana-3696 136 63 2022 2022 NUM cana-3696 136 64 , , PUNCT cana-3696 136 65 pp pp ADJ cana-3696 136 66 . . PUNCT cana-3696 136 67 449 449 NUM cana-3696 136 68 - - SYM cana-3696 136 69 454 454 NUM cana-3696 136 70 . . PUNCT cana-3696 137 1 [ [ X cana-3696 137 2 4 4 X cana-3696 137 3 ] ] PUNCT cana-3696 137 4 p. p. PROPN cana-3696 137 5 s. s. PROPN cana-3696 137 6 sisodia sisodia PROPN cana-3696 137 7 , , PUNCT cana-3696 137 8 a. a. PROPN cana-3696 137 9 gupta gupta PROPN cana-3696 137 10 , , PUNCT cana-3696 137 11 y. y. PROPN cana-3696 137 12 kumar kumar PROPN cana-3696 137 13 and and CCONJ cana-3696 137 14 g. g. PROPN cana-3696 137 15 k. k. PROPN cana-3696 137 16 ameta ameta PROPN cana-3696 137 17 , , PUNCT cana-3696 137 18 " " PUNCT cana-3696 137 19 stock stock NOUN cana-3696 137 20 market market NOUN cana-3696 137 21 analysis analysis NOUN cana-3696 137 22 and and CCONJ cana-3696 137 23 prediction prediction NOUN cana-3696 137 24 for for ADP cana-3696 137 25 nifty50 nifty50 ADV cana-3696 137 26 using use VERB cana-3696 137 27 lstm lstm ADJ cana-3696 137 28 deep deep ADJ cana-3696 137 29 learning learning NOUN cana-3696 137 30 approach approach NOUN cana-3696 137 31 , , PUNCT cana-3696 137 32 " " PUNCT cana-3696 137 33 2022 2022 NUM cana-3696 137 34 2nd 2nd ADJ cana-3696 137 35 international international ADJ cana-3696 137 36 conference conference NOUN cana-3696 137 37 on on ADP cana-3696 137 38 innovative innovative ADJ cana-3696 137 39 practices practice NOUN cana-3696 137 40 in in ADP cana-3696 137 41 technology technology NOUN cana-3696 137 42 and and CCONJ cana-3696 137 43 management management NOUN cana-3696 137 44 ( ( PUNCT cana-3696 137 45 iciptm iciptm NOUN cana-3696 137 46 ) ) PUNCT cana-3696 137 47 , , PUNCT cana-3696 137 48 gautam gautam PROPN cana-3696 137 49 buddha buddha PROPN cana-3696 137 50 nagar nagar PROPN cana-3696 137 51 , , PUNCT cana-3696 137 52 india india PROPN cana-3696 137 53 , , PUNCT cana-3696 137 54 2022 2022 NUM cana-3696 137 55 , , PUNCT cana-3696 137 56 pp pp ADJ cana-3696 137 57 . . PUNCT cana-3696 138 1 156 156 NUM cana-3696 138 2 - - SYM cana-3696 138 3 161 161 NUM cana-3696 138 4 . . PUNCT cana-3696 139 1 [ [ X cana-3696 139 2 5 5 X cana-3696 139 3 ] ] PUNCT cana-3696 139 4 s. s. PROPN cana-3696 139 5 m. m. PROPN cana-3696 139 6 idrees idrees PROPN cana-3696 139 7 , , PUNCT cana-3696 139 8 m. m. NOUN cana-3696 139 9 a. a. PROPN cana-3696 139 10 alam alam PROPN cana-3696 139 11 and and CCONJ cana-3696 139 12 p. p. PROPN cana-3696 139 13 agarwal agarwal PROPN cana-3696 139 14 , , PUNCT cana-3696 139 15 " " PUNCT cana-3696 139 16 a a DET cana-3696 139 17 prediction prediction NOUN cana-3696 139 18 approach approach NOUN cana-3696 139 19 for for ADP cana-3696 139 20 stock stock NOUN cana-3696 139 21 market market NOUN cana-3696 139 22 volatility volatility NOUN cana-3696 139 23 based base VERB cana-3696 139 24 on on ADP cana-3696 139 25 time time NOUN cana-3696 139 26 series series PROPN cana-3696 139 27 data data PROPN cana-3696 139 28 , , PUNCT cana-3696 139 29 " " PUNCT cana-3696 139 30 in in ADP cana-3696 139 31 ieee ieee NOUN cana-3696 139 32 access access NOUN cana-3696 139 33 2019 2019 NUM cana-3696 139 34 , , PUNCT cana-3696 139 35 vol vol NOUN cana-3696 139 36 . . PROPN cana-3696 139 37 7 7 NUM cana-3696 139 38 , , PUNCT cana-3696 139 39 pp pp ADJ cana-3696 139 40 . . PUNCT cana-3696 140 1 17287 17287 NUM cana-3696 140 2 - - SYM cana-3696 140 3 17298 17298 NUM cana-3696 141 1 [ [ X cana-3696 141 2 6 6 NUM cana-3696 141 3 ] ] SYM cana-3696 141 4 s s PART cana-3696 141 5 sohangir sohangir PROPN cana-3696 141 6 , , PUNCT cana-3696 141 7 d d PROPN cana-3696 141 8 wang wang PROPN cana-3696 141 9 , , PUNCT cana-3696 141 10 a a DET cana-3696 141 11 pomeranets pomeranet NOUN cana-3696 141 12 , , PUNCT cana-3696 141 13 β€œ " PUNCT cana-3696 141 14 big big ADJ cana-3696 141 15 data datum NOUN cana-3696 141 16 : : PUNCT cana-3696 141 17 deep deep ADJ cana-3696 141 18 learning learning NOUN cana-3696 141 19 for for ADP cana-3696 141 20 financial financial ADJ cana-3696 141 21 sentiment sentiment NOUN cana-3696 141 22 analysis analysis NOUN cana-3696 141 23 ” " PUNCT cana-3696 141 24 , , PUNCT cana-3696 141 25 journal journal NOUN cana-3696 141 26 of of ADP cana-3696 141 27 big big ADJ cana-3696 141 28 data datum NOUN cana-3696 141 29 , , PUNCT cana-3696 141 30 springer springer NOUN cana-3696 141 31 2018 2018 NUM cana-3696 141 32 , , PUNCT cana-3696 141 33 vol vol NOUN cana-3696 141 34 . . PROPN cana-3696 141 35 5 5 NUM cana-3696 141 36 , , PUNCT cana-3696 141 37 article article NOUN cana-3696 141 38 number number NOUN cana-3696 141 39 . . PUNCT cana-3696 142 1 3 3 X cana-3696 142 2 . . PUNCT cana-3696 143 1 [ [ X cana-3696 143 2 7 7 NUM cana-3696 143 3 ] ] X cana-3696 143 4 m m VERB cana-3696 143 5 sadiq sadiq PROPN cana-3696 143 6 , , PUNCT cana-3696 143 7 cc cc PROPN cana-3696 143 8 hsu hsu PROPN cana-3696 143 9 , , PUNCT cana-3696 143 10 yq yq PROPN cana-3696 143 11 zhang zhang PROPN cana-3696 143 12 , , PUNCT cana-3696 143 13 f f PROPN cana-3696 143 14 chien chien PROPN cana-3696 143 15 , , PUNCT cana-3696 143 16 β€œ " PUNCT cana-3696 143 17 covid-19 covid-19 PROPN cana-3696 143 18 fear fear NOUN cana-3696 143 19 and and CCONJ cana-3696 143 20 volatility volatility NOUN cana-3696 143 21 index index NOUN cana-3696 143 22 movements movement NOUN cana-3696 143 23 : : PUNCT cana-3696 143 24 empirical empirical ADJ cana-3696 143 25 insights insight NOUN cana-3696 143 26 from from ADP cana-3696 143 27 asean asean ADJ cana-3696 143 28 stock stock NOUN cana-3696 143 29 markets market NOUN cana-3696 143 30 ” " PUNCT cana-3696 143 31 , , PUNCT cana-3696 143 32 environmental environmental ADJ cana-3696 143 33 sciences sciences PROPN cana-3696 143 34 ad ad NOUN cana-3696 143 35 pollution pollution NOUN cana-3696 143 36 research research NOUN cana-3696 143 37 , , PUNCT cana-3696 143 38 springer springer NOUN cana-3696 143 39 2021 2021 NUM cana-3696 143 40 , , PUNCT cana-3696 143 41 vol vol NOUN cana-3696 143 42 . . PROPN cana-3696 143 43 28 28 NUM cana-3696 143 44 , , PUNCT cana-3696 143 45 pp.67167–67184 pp.67167–67184 ADJ cana-3696 143 46 . . PUNCT cana-3696 144 1 [ [ X cana-3696 144 2 8 8 NUM cana-3696 144 3 ] ] X cana-3696 144 4 m m VERB cana-3696 144 5 balcilar balcilar ADJ cana-3696 144 6 , , PUNCT cana-3696 144 7 m m NOUN cana-3696 144 8 bonato bonato NOUN cana-3696 144 9 , , PUNCT cana-3696 144 10 r r NOUN cana-3696 144 11 demirer demirer NOUN cana-3696 144 12 , , PUNCT cana-3696 144 13 r r NOUN cana-3696 144 14 gupta gupta PROPN cana-3696 144 15 , , PUNCT cana-3696 144 16 β€œ " PUNCT cana-3696 144 17 geopolitical geopolitical ADJ cana-3696 144 18 risks risk NOUN cana-3696 144 19 and and CCONJ cana-3696 144 20 stock stock NOUN cana-3696 144 21 market market NOUN cana-3696 144 22 dynamics dynamic NOUN cana-3696 144 23 of of ADP cana-3696 144 24 the the DET cana-3696 144 25 brics bric NOUN cana-3696 144 26 ” " PUNCT cana-3696 144 27 , , PUNCT cana-3696 144 28 economic economic ADJ cana-3696 144 29 systems system NOUN cana-3696 144 30 , , PUNCT cana-3696 144 31 elsevier elsevier NOUN cana-3696 144 32 2018 2018 NUM cana-3696 144 33 , , PUNCT cana-3696 144 34 vol.42 vol.42 ADP cana-3696 144 35 , , PUNCT cana-3696 144 36 no.2 no.2 PROPN cana-3696 144 37 , , PUNCT cana-3696 144 38 pp pp ADJ cana-3696 144 39 . . PUNCT cana-3696 145 1 295 295 NUM cana-3696 145 2 - - SYM cana-3696 145 3 306 306 NUM cana-3696 145 4 . . PUNCT cana-3696 146 1 [ [ X cana-3696 146 2 9 9 NUM cana-3696 146 3 ] ] X cana-3696 146 4 d. d. PROPN cana-3696 146 5 shah shah PROPN cana-3696 146 6 , , PUNCT cana-3696 146 7 h. h. PROPN cana-3696 146 8 isah isah PROPN cana-3696 146 9 and and CCONJ cana-3696 146 10 f. f. PROPN cana-3696 146 11 zulkernine zulkernine PROPN cana-3696 146 12 , , PUNCT cana-3696 146 13 " " PUNCT cana-3696 146 14 predicting predict VERB cana-3696 146 15 the the DET cana-3696 146 16 effects effect NOUN cana-3696 146 17 of of ADP cana-3696 146 18 news news NOUN cana-3696 146 19 sentiments sentiment NOUN cana-3696 146 20 on on ADP cana-3696 146 21 the the DET cana-3696 146 22 stock stock NOUN cana-3696 146 23 market market NOUN cana-3696 146 24 , , PUNCT cana-3696 146 25 " " PUNCT cana-3696 146 26 2018 2018 NUM cana-3696 146 27 ieee ieee NOUN cana-3696 146 28 international international ADJ cana-3696 146 29 conference conference NOUN cana-3696 146 30 on on ADP cana-3696 146 31 big big ADJ cana-3696 146 32 data datum NOUN cana-3696 146 33 ( ( PUNCT cana-3696 146 34 big big ADJ cana-3696 146 35 data datum NOUN cana-3696 146 36 ) ) PUNCT cana-3696 146 37 , , PUNCT cana-3696 146 38 seattle seattle PROPN cana-3696 146 39 , , PUNCT cana-3696 146 40 wa wa PROPN cana-3696 146 41 , , PUNCT cana-3696 146 42 usa usa PROPN cana-3696 146 43 , , PUNCT cana-3696 146 44 2018 2018 NUM cana-3696 146 45 , , PUNCT cana-3696 146 46 pp pp ADJ cana-3696 146 47 . . PUNCT cana-3696 146 48 4705 4705 NUM cana-3696 146 49 - - SYM cana-3696 146 50 4708 4708 NUM cana-3696 146 51 . . PUNCT cana-3696 147 1 [ [ X cana-3696 147 2 10 10 NUM cana-3696 147 3 ] ] PUNCT cana-3696 147 4 m. m. NOUN cana-3696 147 5 s. s. PROPN cana-3696 147 6 hegde hegde PROPN cana-3696 147 7 , , PUNCT cana-3696 147 8 g. g. PROPN cana-3696 147 9 krishna krishna PROPN cana-3696 147 10 and and CCONJ cana-3696 147 11 r. r. PROPN cana-3696 147 12 srinath srinath PROPN cana-3696 147 13 , , PUNCT cana-3696 147 14 " " PUNCT cana-3696 147 15 an an DET cana-3696 147 16 ensemble ensemble ADJ cana-3696 147 17 stock stock NOUN cana-3696 147 18 predictor predictor NOUN cana-3696 147 19 and and CCONJ cana-3696 147 20 recommender recommender NOUN cana-3696 147 21 system system NOUN cana-3696 147 22 , , PUNCT cana-3696 147 23 " " PUNCT cana-3696 147 24 2018 2018 NUM cana-3696 147 25 international international ADJ cana-3696 147 26 conference conference NOUN cana-3696 147 27 on on ADP cana-3696 147 28 advances advance NOUN cana-3696 147 29 in in ADP cana-3696 147 30 computing computing NOUN cana-3696 147 31 , , PUNCT cana-3696 147 32 communications communication NOUN cana-3696 147 33 and and CCONJ cana-3696 147 34 informatics informatic NOUN cana-3696 147 35 ( ( PUNCT cana-3696 147 36 icacci icacci PROPN cana-3696 147 37 ) ) PUNCT cana-3696 147 38 , , PUNCT cana-3696 147 39 bangalore bangalore PROPN cana-3696 147 40 , , PUNCT cana-3696 147 41 india india PROPN cana-3696 147 42 , , PUNCT cana-3696 147 43 2018 2018 NUM cana-3696 147 44 , , PUNCT cana-3696 147 45 pp pp ADJ cana-3696 147 46 . . PUNCT cana-3696 148 1 1981 1981 NUM cana-3696 148 2 - - SYM cana-3696 148 3 1985 1985 NUM cana-3696 148 4 . . PUNCT cana-3696 149 1 [ [ X cana-3696 149 2 11 11 NUM cana-3696 149 3 ] ] X cana-3696 149 4 y y PROPN cana-3696 149 5 cui cui PROPN cana-3696 149 6 , , PUNCT cana-3696 149 7 y y PROPN cana-3696 149 8 jiang jiang PROPN cana-3696 149 9 , , PUNCT cana-3696 149 10 h h PROPN cana-3696 149 11 gu gu NOUN cana-3696 149 12 , , PUNCT cana-3696 149 13 β€œ " PUNCT cana-3696 149 14 novel novel ADJ cana-3696 149 15 sentiment sentiment NOUN cana-3696 149 16 analysis analysis NOUN cana-3696 149 17 from from ADP cana-3696 149 18 twitter twitter NOUN cana-3696 149 19 for for ADP cana-3696 149 20 stock stock NOUN cana-3696 149 21 change change NOUN cana-3696 149 22 prediction prediction NOUN cana-3696 149 23 ” " PUNCT cana-3696 149 24 , , PUNCT cana-3696 149 25 international international ADJ cana-3696 149 26 conference conference NOUN cana-3696 149 27 on on ADP cana-3696 149 28 data datum NOUN cana-3696 149 29 mining mining NOUN cana-3696 149 30 and and CCONJ cana-3696 149 31 big big ADJ cana-3696 149 32 data datum NOUN cana-3696 149 33 ( ( PUNCT cana-3696 149 34 dmbd dmbd NOUN cana-3696 149 35 ) ) PUNCT cana-3696 149 36 , , PUNCT cana-3696 149 37 springer springer NOUN cana-3696 149 38 2022 2022 NUM cana-3696 149 39 , , PUNCT cana-3696 149 40 pp pp ADP cana-3696 149 41 160–172 160–172 NUM cana-3696 149 42 . . PUNCT cana-3696 150 1 [ [ X cana-3696 150 2 12 12 NUM cana-3696 150 3 ] ] PUNCT cana-3696 150 4 mm mm PROPN cana-3696 150 5 kumbure kumbure NOUN cana-3696 150 6 , , PUNCT cana-3696 150 7 c c PROPN cana-3696 150 8 lohrmann lohrmann PROPN cana-3696 150 9 , , PUNCT cana-3696 150 10 p p NOUN cana-3696 150 11 luukka luukka NOUN cana-3696 150 12 , , PUNCT cana-3696 150 13 β€œ " PUNCT cana-3696 150 14 machine machine NOUN cana-3696 150 15 learning learn VERB cana-3696 150 16 techniques technique NOUN cana-3696 150 17 and and CCONJ cana-3696 150 18 data datum NOUN cana-3696 150 19 for for ADP cana-3696 150 20 stock stock NOUN cana-3696 150 21 market market NOUN cana-3696 150 22 forecasting forecasting NOUN cana-3696 150 23 : : PUNCT cana-3696 150 24 a a DET cana-3696 150 25 literature literature NOUN cana-3696 150 26 review review NOUN cana-3696 150 27 ” " PUNCT cana-3696 150 28 , , PUNCT cana-3696 150 29 expert expert NOUN cana-3696 150 30 systems system NOUN cana-3696 150 31 with with ADP cana-3696 150 32 applications application NOUN cana-3696 150 33 , , PUNCT cana-3696 150 34 elsevier elsevier NOUN cana-3696 150 35 2022 2022 NUM cana-3696 150 36 , , PUNCT cana-3696 150 37 vol vol NOUN cana-3696 150 38 . . PROPN cana-3696 150 39 197 197 NUM cana-3696 150 40 , , PUNCT cana-3696 150 41 116659 116659 NUM cana-3696 150 42 . . PUNCT cana-3696 151 1 [ [ X cana-3696 151 2 13 13 NUM cana-3696 151 3 ] ] SYM cana-3696 151 4 x x X cana-3696 151 5 li li PROPN cana-3696 151 6 , , PUNCT cana-3696 151 7 p p PROPN cana-3696 151 8 wu wu PROPN cana-3696 151 9 , , PUNCT cana-3696 151 10 β€œ " PUNCT cana-3696 151 11 stock stock NOUN cana-3696 151 12 price price NOUN cana-3696 151 13 prediction prediction NOUN cana-3696 151 14 incorporating incorporate VERB cana-3696 151 15 market market NOUN cana-3696 151 16 style style NOUN cana-3696 151 17 clustering cluster VERB cana-3696 151 18 ” " PUNCT cana-3696 151 19 , , PUNCT cana-3696 151 20 cognitive cognitive ADJ cana-3696 151 21 computation computation NOUN cana-3696 151 22 , , PUNCT cana-3696 151 23 springer springer NOUN cana-3696 151 24 2022 2022 NUM cana-3696 151 25 , , PUNCT cana-3696 151 26 vol vol NOUN cana-3696 151 27 . . PROPN cana-3696 151 28 14 14 NUM cana-3696 151 29 , , PUNCT cana-3696 151 30 pp.149–166 pp.149–166 NOUN cana-3696 151 31 . . PUNCT cana-3696 152 1 [ [ X cana-3696 152 2 14 14 NUM cana-3696 152 3 ] ] X cana-3696 152 4 g. g. PROPN cana-3696 152 5 li li PROPN cana-3696 152 6 , , PUNCT cana-3696 152 7 a. a. PROPN cana-3696 152 8 zhang zhang PROPN cana-3696 152 9 , , PUNCT cana-3696 152 10 q. q. PROPN cana-3696 152 11 zhang zhang PROPN cana-3696 152 12 , , PUNCT cana-3696 152 13 d. d. PROPN cana-3696 152 14 wu wu PROPN cana-3696 152 15 and and CCONJ cana-3696 152 16 c. c. PROPN cana-3696 152 17 zhan zhan PROPN cana-3696 152 18 , , PUNCT cana-3696 152 19 " " PUNCT cana-3696 152 20 pearson pearson NOUN cana-3696 152 21 correlation correlation NOUN cana-3696 152 22 coefficient coefficient NOUN cana-3696 152 23 - - PUNCT cana-3696 152 24 based base VERB cana-3696 152 25 performance performance NOUN cana-3696 152 26 enhancement enhancement NOUN cana-3696 152 27 of of ADP cana-3696 152 28 broad broad ADJ cana-3696 152 29 learning learning NOUN cana-3696 152 30 system system NOUN cana-3696 152 31 for for ADP cana-3696 152 32 stock stock NOUN cana-3696 152 33 price price NOUN cana-3696 152 34 prediction prediction NOUN cana-3696 152 35 , , PUNCT cana-3696 152 36 " " PUNCT cana-3696 152 37 in in ADP cana-3696 152 38 ieee ieee NOUN cana-3696 152 39 transactions transaction NOUN cana-3696 152 40 on on ADP cana-3696 152 41 circuits circuit NOUN cana-3696 152 42 and and CCONJ cana-3696 152 43 systems system NOUN cana-3696 152 44 ii ii PROPN cana-3696 152 45 : : PUNCT cana-3696 152 46 express express VERB cana-3696 152 47 briefs brief NOUN cana-3696 152 48 , , PUNCT cana-3696 152 49 2022 2022 NUM cana-3696 152 50 , , PUNCT cana-3696 152 51 vol vol NOUN cana-3696 152 52 . . PROPN cana-3696 152 53 69 69 NUM cana-3696 152 54 , , PUNCT cana-3696 152 55 no no INTJ cana-3696 152 56 . . NOUN cana-3696 152 57 5 5 NUM cana-3696 152 58 , , PUNCT cana-3696 152 59 pp pp ADJ cana-3696 152 60 . . PUNCT cana-3696 152 61 2413 2413 NUM cana-3696 152 62 - - SYM cana-3696 152 63 2417 2417 NUM cana-3696 152 64 . . PUNCT cana-3696 153 1 [ [ X cana-3696 153 2 15 15 NUM cana-3696 153 3 ] ] X cana-3696 153 4 g. g. PROPN cana-3696 153 5 duan duan PROPN cana-3696 153 6 , , PUNCT cana-3696 153 7 m. m. PROPN cana-3696 153 8 lin lin PROPN cana-3696 153 9 , , PUNCT cana-3696 153 10 h. h. PROPN cana-3696 153 11 wang wang PROPN cana-3696 153 12 and and CCONJ cana-3696 153 13 z. z. PROPN cana-3696 153 14 xu xu PROPN cana-3696 153 15 , , PUNCT cana-3696 153 16 " " PUNCT cana-3696 153 17 deep deep ADJ cana-3696 153 18 neural neural ADJ cana-3696 153 19 networks network NOUN cana-3696 153 20 for for ADP cana-3696 153 21 stock stock NOUN cana-3696 153 22 price price NOUN cana-3696 153 23 prediction prediction NOUN cana-3696 153 24 , , PUNCT cana-3696 153 25 " " PUNCT cana-3696 153 26 2022 2022 NUM cana-3696 153 27 14th 14th ADJ cana-3696 153 28 international international ADJ cana-3696 153 29 conference conference NOUN cana-3696 153 30 on on ADP cana-3696 153 31 computer computer NOUN cana-3696 153 32 research research NOUN cana-3696 153 33 and and CCONJ cana-3696 153 34 development development NOUN cana-3696 153 35 ( ( PUNCT cana-3696 153 36 iccrd iccrd NOUN cana-3696 153 37 ) ) PUNCT cana-3696 153 38 , , PUNCT cana-3696 153 39 shenzhen shenzhen PROPN cana-3696 153 40 , , PUNCT cana-3696 153 41 china china PROPN cana-3696 153 42 , , PUNCT cana-3696 153 43 2022 2022 NUM cana-3696 153 44 , , PUNCT cana-3696 153 45 pp pp ADJ cana-3696 153 46 . . PUNCT cana-3696 154 1 65 65 NUM cana-3696 154 2 - - SYM cana-3696 154 3 68 68 NUM cana-3696 154 4 . . PUNCT cana-3696 155 1 [ [ X cana-3696 155 2 16 16 NUM cana-3696 155 3 ] ] PUNCT cana-3696 155 4 r. r. PROPN cana-3696 155 5 ren ren PROPN cana-3696 155 6 , , PUNCT cana-3696 155 7 d. d. PROPN cana-3696 155 8 d. d. PROPN cana-3696 155 9 wu wu PROPN cana-3696 155 10 and and CCONJ cana-3696 155 11 t. t. PROPN cana-3696 155 12 liu liu PROPN cana-3696 155 13 , , PUNCT cana-3696 155 14 " " PUNCT cana-3696 155 15 forecasting forecast VERB cana-3696 155 16 stock stock NOUN cana-3696 155 17 market market NOUN cana-3696 155 18 movement movement NOUN cana-3696 155 19 direction direction NOUN cana-3696 155 20 using use VERB cana-3696 155 21 sentiment sentiment NOUN cana-3696 155 22 analysis analysis NOUN cana-3696 155 23 and and CCONJ cana-3696 155 24 support support VERB cana-3696 155 25 vector vector NOUN cana-3696 155 26 machine machine NOUN cana-3696 155 27 , , PUNCT cana-3696 155 28 " " PUNCT cana-3696 155 29 in in ADP cana-3696 155 30 ieee ieee NOUN cana-3696 155 31 systems system NOUN cana-3696 155 32 journal journal NOUN cana-3696 155 33 , , PUNCT cana-3696 155 34 vol vol NOUN cana-3696 155 35 . . PROPN cana-3696 155 36 13 13 NUM cana-3696 155 37 , , PUNCT cana-3696 155 38 no no INTJ cana-3696 155 39 . . NOUN cana-3696 155 40 1 1 NUM cana-3696 155 41 , , PUNCT cana-3696 155 42 pp pp ADJ cana-3696 155 43 . . PUNCT cana-3696 156 1 760 760 NUM cana-3696 156 2 - - SYM cana-3696 156 3 770 770 NUM cana-3696 156 4 . . PUNCT cana-3696 157 1 communications communication NOUN cana-3696 157 2 on on ADP cana-3696 157 3 applied apply VERB cana-3696 157 4 nonlinear nonlinear ADJ cana-3696 157 5 analysis analysis NOUN cana-3696 157 6 issn issn NOUN cana-3696 157 7 : : PUNCT cana-3696 157 8 1074 1074 NUM cana-3696 157 9 - - PUNCT cana-3696 157 10 133x 133x NUM cana-3696 157 11 vol vol NOUN cana-3696 157 12 32 32 NUM cana-3696 157 13 no no NOUN cana-3696 157 14 . . PUNCT cana-3696 158 1 8s 8s PROPN cana-3696 158 2 ( ( PUNCT cana-3696 158 3 2025 2025 NUM cana-3696 158 4 ) ) PUNCT cana-3696 158 5 492 492 NUM cana-3696 158 6 https://internationalpubls.com https://internationalpubls.com X cana-3696 159 1 [ [ X cana-3696 159 2 17 17 NUM cana-3696 159 3 ] ] X cana-3696 159 4 s. s. PROPN cana-3696 159 5 singh singh PROPN cana-3696 159 6 , , PUNCT cana-3696 159 7 t. t. PROPN cana-3696 159 8 k. k. PROPN cana-3696 159 9 madan madan PROPN cana-3696 159 10 , , PUNCT cana-3696 159 11 j. j. PROPN cana-3696 159 12 kumar kumar PROPN cana-3696 159 13 and and CCONJ cana-3696 159 14 a. a. PROPN cana-3696 159 15 k. k. PROPN cana-3696 159 16 singh singh PROPN cana-3696 159 17 , , PUNCT cana-3696 159 18 " " PUNCT cana-3696 159 19 stock stock NOUN cana-3696 159 20 market market NOUN cana-3696 159 21 forecasting forecasting NOUN cana-3696 159 22 using use VERB cana-3696 159 23 machine machine NOUN cana-3696 159 24 learning learning NOUN cana-3696 159 25 : : PUNCT cana-3696 159 26 today today NOUN cana-3696 159 27 and and CCONJ cana-3696 159 28 tomorrow tomorrow NOUN cana-3696 159 29 , , PUNCT cana-3696 159 30 " " PUNCT cana-3696 159 31 2019 2019 NUM cana-3696 159 32 2nd 2nd ADJ cana-3696 159 33 international international ADJ cana-3696 159 34 conference conference NOUN cana-3696 159 35 on on ADP cana-3696 159 36 intelligent intelligent ADJ cana-3696 159 37 computing computing NOUN cana-3696 159 38 , , PUNCT cana-3696 159 39 instrumentation instrumentation NOUN cana-3696 159 40 and and CCONJ cana-3696 159 41 control control NOUN cana-3696 159 42 technologies technology NOUN cana-3696 159 43 ( ( PUNCT cana-3696 159 44 icicict icicict NOUN cana-3696 159 45 ) ) PUNCT cana-3696 159 46 , , PUNCT cana-3696 159 47 kannur kannur PROPN cana-3696 159 48 , , PUNCT cana-3696 159 49 india india PROPN cana-3696 159 50 , , PUNCT cana-3696 159 51 2019 2019 NUM cana-3696 159 52 , , PUNCT cana-3696 159 53 pp pp ADJ cana-3696 159 54 . . PUNCT cana-3696 160 1 738 738 NUM cana-3696 160 2 - - SYM cana-3696 160 3 745 745 NUM cana-3696 160 4 . . PUNCT cana-3696 161 1 [ [ X cana-3696 161 2 18 18 NUM cana-3696 161 3 ] ] X cana-3696 161 4 gers ger NOUN cana-3696 161 5 f f NOUN cana-3696 161 6 , , PUNCT cana-3696 161 7 eck eck X cana-3696 162 1 d d X cana-3696 162 2 , , PUNCT cana-3696 162 3 schmidhuber schmidhuber PROPN cana-3696 162 4 j.(2020 j.(2020 PROPN cana-3696 162 5 ) ) PUNCT cana-3696 162 6 applying apply VERB cana-3696 162 7 lstm lstm NOUN cana-3696 162 8 to to ADP cana-3696 162 9 time time NOUN cana-3696 162 10 series series PROPN cana-3696 162 11 predictable predictable ADJ cana-3696 162 12 through through ADP cana-3696 162 13 time time NOUN cana-3696 162 14 - - PUNCT cana-3696 162 15 window window NOUN cana-3696 162 16 approaches approach NOUN cana-3696 162 17 , , PUNCT cana-3696 162 18 neural neural ADJ cana-3696 162 19 nets net NOUN cana-3696 162 20 wirn wirn NOUN cana-3696 162 21 vietri-01 vietri-01 NOUN cana-3696 162 22 . . NOUN cana-3696 162 23 perspectives perspective NOUN cana-3696 162 24 in in ADP cana-3696 162 25 neural neural ADJ cana-3696 162 26 computing computing NOUN cana-3696 162 27 . . PUNCT cana-3696 163 1 springer springer NOUN cana-3696 163 2 , , PUNCT cana-3696 163 3 193 193 NUM cana-3696 163 4 - - SYM cana-3696 163 5 200 200 NUM cana-3696 163 6 . . PUNCT cana-3696 164 1 [ [ X cana-3696 164 2 19 19 NUM cana-3696 164 3 ] ] X cana-3696 164 4 gu gu NOUN cana-3696 164 5 q q PROPN cana-3696 164 6 , , PUNCT cana-3696 164 7 chang chang PROPN cana-3696 164 8 y y PROPN cana-3696 164 9 , , PUNCT cana-3696 164 10 xiong xiong PROPN cana-3696 164 11 n n PROPN cana-3696 164 12 , , PUNCT cana-3696 164 13 chen chen PROPN cana-3696 164 14 . . PUNCT cana-3696 165 1 ( ( PUNCT cana-3696 165 2 2021 2021 NUM cana-3696 165 3 ) ) PUNCT cana-3696 165 4 , , PUNCT cana-3696 165 5 forecasting forecast VERB cana-3696 165 6 nickel nickel NOUN cana-3696 165 7 futures future NOUN cana-3696 165 8 price price NOUN cana-3696 165 9 based base VERB cana-3696 165 10 on on ADP cana-3696 165 11 the the DET cana-3696 165 12 empirical empirical ADJ cana-3696 165 13 wavelet wavelet NOUN cana-3696 165 14 transform transform NOUN cana-3696 165 15 and and CCONJ cana-3696 165 16 gradient gradient NOUN cana-3696 165 17 boosting boost VERB cana-3696 165 18 decision decision NOUN cana-3696 165 19 trees tree NOUN cana-3696 165 20 , , PUNCT cana-3696 165 21 applied apply VERB cana-3696 165 22 soft soft ADJ cana-3696 165 23 computing computing NOUN cana-3696 165 24 , , PUNCT cana-3696 165 25 elsevier elsevier NOUN cana-3696 165 26 , , PUNCT cana-3696 165 27 109 109 NUM cana-3696 165 28 , , PUNCT cana-3696 165 29 107472 107472 NUM cana-3696 165 30 . . PUNCT cana-3696 166 1 [ [ X cana-3696 166 2 20 20 NUM cana-3696 166 3 ] ] SYM cana-3696 166 4 s s VERB cana-3696 166 5 kim kim PROPN cana-3696 166 6 , , PUNCT cana-3696 166 7 s s PROPN cana-3696 166 8 ku ku PROPN cana-3696 166 9 , , PUNCT cana-3696 166 10 w w PROPN cana-3696 166 11 chang chang PROPN cana-3696 166 12 , , PUNCT cana-3696 166 13 jw jw PROPN cana-3696 166 14 song song NOUN cana-3696 166 15 , , PUNCT cana-3696 166 16 β€œ " PUNCT cana-3696 166 17 predicting predict VERB cana-3696 166 18 the the DET cana-3696 166 19 direction direction NOUN cana-3696 166 20 of of ADP cana-3696 166 21 us us PROPN cana-3696 166 22 stock stock NOUN cana-3696 166 23 prices price NOUN cana-3696 166 24 using use VERB cana-3696 166 25 effective effective ADJ cana-3696 166 26 transfer transfer NOUN cana-3696 166 27 entropy entropy NOUN cana-3696 166 28 and and CCONJ cana-3696 166 29 machine machine NOUN cana-3696 166 30 learning learn VERB cana-3696 166 31 techniques technique NOUN cana-3696 166 32 ” " PUNCT cana-3696 166 33 , , PUNCT cana-3696 166 34 ieee ieee NOUN cana-3696 166 35 access access NOUN cana-3696 166 36 2020 2020 NUM cana-3696 166 37 , , PUNCT cana-3696 166 38 vol-8 vol-8 ADV cana-3696 166 39 , , PUNCT cana-3696 166 40 pp pp CCONJ cana-3696 166 41 : : PUNCT cana-3696 166 42 111660 111660 NUM cana-3696 166 43 – – PUNCT cana-3696 166 44 111682 111682 NUM cana-3696 166 45 . . PUNCT cana-3696 167 1 [ [ X cana-3696 167 2 21 21 NUM cana-3696 167 3 ] ] X cana-3696 167 4 x x X cana-3696 167 5 li li PROPN cana-3696 167 6 , , PUNCT cana-3696 167 7 p p PROPN cana-3696 167 8 wu wu PROPN cana-3696 167 9 , , PUNCT cana-3696 167 10 w w PROPN cana-3696 167 11 wang wang PROPN cana-3696 167 12 , , PUNCT cana-3696 167 13 β€œ " PUNCT cana-3696 167 14 incorporating incorporate VERB cana-3696 167 15 stock stock NOUN cana-3696 167 16 prices price NOUN cana-3696 167 17 and and CCONJ cana-3696 167 18 news news NOUN cana-3696 167 19 sentiments sentiment NOUN cana-3696 167 20 for for ADP cana-3696 167 21 stock stock NOUN cana-3696 167 22 market market NOUN cana-3696 167 23 prediction prediction NOUN cana-3696 167 24 : : PUNCT cana-3696 167 25 a a DET cana-3696 167 26 case case NOUN cana-3696 167 27 of of ADP cana-3696 167 28 hong hong PROPN cana-3696 167 29 kong kong PROPN cana-3696 167 30 ” " PUNCT cana-3696 167 31 , , PUNCT cana-3696 167 32 information information NOUN cana-3696 167 33 processing processing NOUN cana-3696 167 34 & & CCONJ cana-3696 167 35 management management NOUN cana-3696 167 36 , , PUNCT cana-3696 167 37 elsevier elsevier NOUN cana-3696 167 38 2020 2020 NUM cana-3696 167 39 . . PUNCT cana-3696 168 1 volume volume NOUN cana-3696 168 2 57 57 NUM cana-3696 168 3 , , PUNCT cana-3696 168 4 issue issue NOUN cana-3696 168 5 5 5 NUM cana-3696 168 6 , , PUNCT cana-3696 168 7 pp pp CCONJ cana-3696 168 8 : : PUNCT cana-3696 168 9 1 1 NUM cana-3696 168 10 - - SYM cana-3696 168 11 19 19 NUM cana-3696 168 12 . . PUNCT cana-3696 169 1 [ [ X cana-3696 169 2 22 22 NUM cana-3696 169 3 ] ] PUNCT cana-3696 169 4 k. k. PROPN cana-3696 169 5 a. a. PROPN cana-3696 169 6 althelaya althelaya PROPN cana-3696 169 7 , , PUNCT cana-3696 169 8 s. s. PROPN cana-3696 169 9 a. a. PROPN cana-3696 169 10 mohammed mohammed PROPN cana-3696 169 11 and and CCONJ cana-3696 169 12 e. e. PROPN cana-3696 169 13 -s -s PROPN cana-3696 169 14 . . PUNCT cana-3696 170 1 m. m. PROPN cana-3696 170 2 el el PROPN cana-3696 170 3 - - PROPN cana-3696 170 4 alfy alfy PROPN cana-3696 170 5 , , PUNCT cana-3696 170 6 " " PUNCT cana-3696 170 7 combining combine VERB cana-3696 170 8 deep deep ADJ cana-3696 170 9 learning learning NOUN cana-3696 170 10 and and CCONJ cana-3696 170 11 multiresolution multiresolution NOUN cana-3696 170 12 analysis analysis NOUN cana-3696 170 13 for for ADP cana-3696 170 14 stock stock NOUN cana-3696 170 15 market market NOUN cana-3696 170 16 forecasting forecasting NOUN cana-3696 170 17 , , PUNCT cana-3696 170 18 " " PUNCT cana-3696 170 19 in in ADP cana-3696 170 20 ieee ieee NOUN cana-3696 170 21 access access NOUN cana-3696 170 22 , , PUNCT cana-3696 170 23 vol vol NOUN cana-3696 170 24 . . NOUN cana-3696 170 25 9 9 NUM cana-3696 170 26 , , PUNCT cana-3696 170 27 pp pp ADJ cana-3696 170 28 . . PUNCT cana-3696 171 1 13099 13099 NUM cana-3696 171 2 - - SYM cana-3696 171 3 13111 13111 NUM cana-3696 171 4 [ [ X cana-3696 171 5 23 23 NUM cana-3696 171 6 ] ] X cana-3696 171 7 r r NOUN cana-3696 171 8 gao gao PROPN cana-3696 171 9 , , PUNCT cana-3696 171 10 x x PROPN cana-3696 171 11 zhang zhang PROPN cana-3696 171 12 , , PUNCT cana-3696 171 13 h h PROPN cana-3696 171 14 zhang zhang PROPN cana-3696 171 15 , , PUNCT cana-3696 171 16 q q PROPN cana-3696 171 17 zhao zhao PROPN cana-3696 171 18 , , PUNCT cana-3696 171 19 y y PROPN cana-3696 171 20 wang wang PROPN cana-3696 171 21 , , PUNCT cana-3696 171 22 β€œ " PUNCT cana-3696 171 23 forecasting forecast VERB cana-3696 171 24 the the DET cana-3696 171 25 overnight overnight ADJ cana-3696 171 26 return return NOUN cana-3696 171 27 direction direction NOUN cana-3696 171 28 of of ADP cana-3696 171 29 stock stock NOUN cana-3696 171 30 market market NOUN cana-3696 171 31 index index NOUN cana-3696 171 32 combining combine VERB cana-3696 171 33 global global ADJ cana-3696 171 34 market market NOUN cana-3696 171 35 indices index NOUN cana-3696 171 36 : : PUNCT cana-3696 171 37 a a DET cana-3696 171 38 multiple multiple ADJ cana-3696 171 39 - - PUNCT cana-3696 171 40 branch branch NOUN cana-3696 171 41 deep deep ADJ cana-3696 171 42 learning learning NOUN cana-3696 171 43 approach approach NOUN cana-3696 171 44 ” " PUNCT cana-3696 171 45 , , PUNCT cana-3696 171 46 expert expert NOUN cana-3696 171 47 systems system NOUN cana-3696 171 48 with with ADP cana-3696 171 49 applications application NOUN cana-3696 171 50 , , PUNCT cana-3696 171 51 elsevier elsevier NOUN cana-3696 171 52 2022 2022 NUM cana-3696 171 53 , , PUNCT cana-3696 171 54 vol.194 vol.194 NOUN cana-3696 171 55 , , PUNCT cana-3696 171 56 116506 116506 NUM cana-3696 171 57 . . PUNCT cana-3696 172 1 [ [ X cana-3696 172 2 24 24 NUM cana-3696 172 3 ] ] PUNCT cana-3696 172 4 a a DET cana-3696 172 5 subakkar subakkar NOUN cana-3696 172 6 , , PUNCT cana-3696 172 7 s s VERB cana-3696 172 8 graceline graceline ADJ cana-3696 172 9 jasmine jasmine NOUN cana-3696 172 10 , , PUNCT cana-3696 172 11 l l PROPN cana-3696 172 12 jani jani PROPN cana-3696 172 13 anbarasi anbarasi PROPN cana-3696 172 14 , , PUNCT cana-3696 172 15 j j PROPN cana-3696 172 16 ganesh ganesh PROPN cana-3696 172 17 , , PUNCT cana-3696 172 18 cm cm NOUN cana-3696 172 19 yuktha yuktha NOUN cana-3696 172 20 , , PUNCT cana-3696 172 21 β€œ " PUNCT cana-3696 172 22 an an DET cana-3696 172 23 analysis analysis NOUN cana-3696 172 24 on on ADP cana-3696 172 25 tesla tesla PROPN cana-3696 172 26 's 's PART cana-3696 172 27 stock stock NOUN cana-3696 172 28 price price NOUN cana-3696 172 29 forecasting forecasting NOUN cana-3696 172 30 using use VERB cana-3696 172 31 arima arima PROPN cana-3696 172 32 model model NOUN cana-3696 172 33 ” " PUNCT cana-3696 172 34 , , PUNCT cana-3696 172 35 proceedings proceeding NOUN cana-3696 172 36 of of ADP cana-3696 172 37 the the DET cana-3696 172 38 international international ADJ cana-3696 172 39 conference conference NOUN cana-3696 172 40 on on ADP cana-3696 172 41 cognitive cognitive ADJ cana-3696 172 42 and and CCONJ cana-3696 172 43 intelligent intelligent ADJ cana-3696 172 44 computing computing NOUN cana-3696 172 45 , , PUNCT cana-3696 172 46 springer springer NOUN cana-3696 172 47 , , PUNCT cana-3696 172 48 2023 2023 NUM cana-3696 172 49 , , PUNCT cana-3696 172 50 pp pp ADP cana-3696 172 51 83–89 83–89 NUM cana-3696 172 52 . . PUNCT cana-3696 173 1 [ [ X cana-3696 173 2 25 25 NUM cana-3696 173 3 ] ] SYM cana-3696 173 4 b b NOUN cana-3696 173 5 gΓΌlmez gΓΌlmez NOUN cana-3696 173 6 , , PUNCT cana-3696 173 7 β€œ " PUNCT cana-3696 173 8 stock stock NOUN cana-3696 173 9 price price NOUN cana-3696 173 10 prediction prediction NOUN cana-3696 173 11 with with ADP cana-3696 173 12 optimized optimize VERB cana-3696 173 13 deep deep ADJ cana-3696 173 14 lstm lstm NOUN cana-3696 173 15 network network NOUN cana-3696 173 16 with with ADP cana-3696 173 17 artificial artificial ADJ cana-3696 173 18 rabbits rabbit NOUN cana-3696 173 19 optimization optimization NOUN cana-3696 173 20 algorithm algorithm NOUN cana-3696 173 21 ” " PUNCT cana-3696 173 22 , , PUNCT cana-3696 173 23 expert expert NOUN cana-3696 173 24 system system NOUN cana-3696 173 25 with with ADP cana-3696 173 26 applications application NOUN cana-3696 173 27 , , PUNCT cana-3696 173 28 elsevier elsevier NOUN cana-3696 173 29 , , PUNCT cana-3696 173 30 2023 2023 NUM cana-3696 173 31 , , PUNCT cana-3696 173 32 vol.29 vol.29 NOUN cana-3696 173 33 . . NOUN cana-3696 173 34 120346 120346 NUM cana-3696 173 35 . . PUNCT cana-3696 174 1 [ [ X cana-3696 174 2 26 26 NUM cana-3696 174 3 ] ] X cana-3696 174 4 p p X cana-3696 174 5 ray ray NOUN cana-3696 174 6 , , PUNCT cana-3696 174 7 b b PROPN cana-3696 174 8 ganguli ganguli PROPN cana-3696 174 9 , , PUNCT cana-3696 174 10 a a DET cana-3696 174 11 chakrabarti chakrabarti NOUN cana-3696 174 12 , , PUNCT cana-3696 174 13 β€œ " PUNCT cana-3696 174 14 multivariate multivariate NOUN cana-3696 174 15 bayesian bayesian NOUN cana-3696 174 16 time time NOUN cana-3696 174 17 - - PUNCT cana-3696 174 18 series series NOUN cana-3696 174 19 model model NOUN cana-3696 174 20 with with ADP cana-3696 174 21 multi multi ADJ cana-3696 174 22 - - ADJ cana-3696 174 23 temporal temporal ADJ cana-3696 174 24 convolution convolution NOUN cana-3696 174 25 network network NOUN cana-3696 174 26 for for ADP cana-3696 174 27 forecasting forecast VERB cana-3696 174 28 stock stock NOUN cana-3696 174 29 market market NOUN cana-3696 174 30 during during ADP cana-3696 174 31 covid-19 covid-19 PROPN cana-3696 174 32 pandemic pandemic ADJ cana-3696 174 33 ” " PUNCT cana-3696 174 34 , , PUNCT cana-3696 174 35 international international ADJ cana-3696 174 36 journal journal NOUN cana-3696 174 37 of of ADP cana-3696 174 38 computational computational ADJ cana-3696 174 39 intelligence intelligence NOUN cana-3696 174 40 systems system NOUN cana-3696 174 41 , , PUNCT cana-3696 174 42 springer springer NOUN cana-3696 174 43 2024 2024 NUM cana-3696 174 44 , , PUNCT cana-3696 174 45 vol.17 vol.17 ADJ cana-3696 174 46 , , PUNCT cana-3696 174 47 no.170 no.170 NOUN cana-3696 174 48 , , PUNCT cana-3696 174 49 pp.2 pp.2 PROPN cana-3696 174 50 - - PUNCT cana-3696 174 51 14 14 NUM cana-3696 174 52 . . PUNCT cana-3696 175 1 [ [ X cana-3696 175 2 27 27 NUM cana-3696 175 3 ] ] X cana-3696 175 4 z z NOUN cana-3696 175 5 zhan zhan PROPN cana-3696 175 6 , , PUNCT cana-3696 175 7 sk sk PROPN cana-3696 175 8 kim kim PROPN cana-3696 175 9 , , PUNCT cana-3696 175 10 β€œ " PUNCT cana-3696 175 11 versatile versatile ADJ cana-3696 175 12 time time NOUN cana-3696 175 13 - - PUNCT cana-3696 175 14 window window NOUN cana-3696 175 15 sliding slide VERB cana-3696 175 16 machine machine NOUN cana-3696 175 17 learning learn VERB cana-3696 175 18 techniques technique NOUN cana-3696 175 19 for for ADP cana-3696 175 20 stock stock NOUN cana-3696 175 21 market market NOUN cana-3696 175 22 forecasting forecasting NOUN cana-3696 175 23 ” " PUNCT cana-3696 175 24 , , PUNCT cana-3696 175 25 artificial artificial ADJ cana-3696 175 26 intelligence intelligence NOUN cana-3696 175 27 review review NOUN cana-3696 175 28 , , PUNCT cana-3696 175 29 springer springer NOUN cana-3696 175 30 2024 2024 NUM cana-3696 175 31 , , PUNCT cana-3696 175 32 vol vol NOUN cana-3696 175 33 . . PROPN cana-3696 175 34 57 57 NUM cana-3696 175 35 , , PUNCT cana-3696 175 36 no.209 no.209 NOUN cana-3696 175 37 , , PUNCT cana-3696 175 38 pp.1 pp.1 NOUN cana-3696 175 39 - - PUNCT cana-3696 175 40 20 20 NUM cana-3696 175 41 . . PUNCT