UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 10 | October 2025

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Published in:

Volume 11 Issue 4
April-2024
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2404D13


Registration ID:
538770

Page Number

n97-n102

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Title

Stock Market Prediction Trading Bot

Abstract

Algorithmic trading is generally defined as using computer-generated algorithms to create and execute orders on marketplaces. Recently, such algo-trading strategies are increasingly being associated with the slightly negative impact on capital markets both from a technological as well as a business perspective. So, we want to change this perspective using positive effects of algorithmic trading – such as increased liquidity and the elimination of market inefficiencies – that far outweigh the potential negative effects. Regardless of this, algo-trading has seen increasing popularity and acceptance on most of the major global markets, demanding well thought-out strategies that help traders and investors make more than a reasonable return on their investments. Algorithmic trading uses algorithms that follow a trend and define a set of instructions to perform a trade. The trade can generate revenue at an inhuman and enhanced speed and frequency. The characterized sets of trading guidelines that are passed on to the program are reliant upon timing, value, amount, or any mathematical model. Aside from profitable openings for the trader, algo-trading renders the market more liquid and trading more precise by precluding the effect of human feelings on trading. So, in this Mini project we have created the same thing but using your strategies and thinking. In the coming years Trading or Share Market will not be a buzz world for common people and result of that is all willing try to invest in market. We want to make their process a lot easier and more profitable. Our project aims to further this revolution in the markets of tomorrow by providing an effective and efficient solution to overcome the drawbacks faced due to manual trading.

Key Words

Algorithmic trading, Computer-generated algorithm, Manual Trading, Share Marketing, Algo Trading

Cite This Article

"Stock Market Prediction Trading Bot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.n97-n102, April-2024, Available :http://www.jetir.org/papers/JETIR2404D13.pdf

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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

"Stock Market Prediction Trading Bot", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppn97-n102, April-2024, Available at : http://www.jetir.org/papers/JETIR2404D13.pdf

Publication Details

Published Paper ID: JETIR2404D13
Registration ID: 538770
Published In: Volume 11 | Issue 4 | Year April-2024
DOI (Digital Object Identifier):
Page No: n97-n102
Country: MUMBAI, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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