UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 11
November-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2111254


Registration ID:
317262

Page Number

c374-c380

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Title

High Frequency Trading System using Deep-Q Learning Algorithm

Abstract

This project makes use of market dynamics available on the stock market and creates a backtest indicating the market trends for that particular stock in the recent past and the near future, based upon the stocks available. Based on this backtest, one can make a wise decision as to invest into that particular stock by buying it, or to hold on to it, or perhaps sell it if you seem to be in possession of it.

Key Words

DQN, Reinforcement Learning, Backtest, Stocks, Training.

Cite This Article

"High Frequency Trading System using Deep-Q Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.c374-c380, November-2021, Available :http://www.jetir.org/papers/JETIR2111254.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"High Frequency Trading System using Deep-Q Learning Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppc374-c380, November-2021, Available at : http://www.jetir.org/papers/JETIR2111254.pdf

Publication Details

Published Paper ID: JETIR2111254
Registration ID: 317262
Published In: Volume 8 | Issue 11 | Year November-2021
DOI (Digital Object Identifier):
Page No: c374-c380
Country: Bangalore, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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