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

ISSN: 2349-5162 | ESTD Year : 2014
Volume 13 | Issue 1 | January 2026

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Published in:

Volume 13 Issue 1
January-2026
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2601208


Registration ID:
574458

Page Number

c90-c94

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Title

TradeLogX: AI-Enhanced Automated Trading Journal and Analytics Platform for the Indian Equity Market

Abstract

In Indian stock market the participation of the retail traders has Increased a lot in the past few years. Recent data from the Securities and Exchange Board of India(SEBI)shows that over 90% of the traders in Future & Options(F&O)segments are in net losses.Why?Because they don’t know their behavioural mistakes.This research describes a platform (TradeLogX) designed to improve the performance of retail traders in the stock market. Where, user can record their trades with important details such as emotions during the trade, trade details, key points like reason for entry and exit, strategy and outcomes. The objective is to improve trading skills and to increase the profit of trader by providing the trader’s behaviour and decision-making, a deterministic “Prediction Meter” enabling better strategy development and more disciplined trading. The platform is built upon a robust MERN (MongoDB, Express.js, React, Node.js)architecture .TradeLogX has a Generative AI summariser powered by Google’s Gemini API.10 by automating the trade data and providing a qualitative feedback through Large Language Models(LLMs). TradeLogX helps the retails traders to change from gambling trading to data-driven professional trading.

Key Words

Trading, derivatives & equity(F&O) trading, trading journal

Cite This Article

"TradeLogX: AI-Enhanced Automated Trading Journal and Analytics Platform for the Indian Equity Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.13, Issue 1, page no.c90-c94, January-2026, Available :http://www.jetir.org/papers/JETIR2601208.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

"TradeLogX: AI-Enhanced Automated Trading Journal and Analytics Platform for the Indian Equity Market", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.13, Issue 1, page no. ppc90-c94, January-2026, Available at : http://www.jetir.org/papers/JETIR2601208.pdf

Publication Details

Published Paper ID: JETIR2601208
Registration ID: 574458
Published In: Volume 13 | Issue 1 | Year January-2026
DOI (Digital Object Identifier):
Page No: c90-c94
Country: Virar, Maharashtra, India .
Area: Management
ISSN Number: 2349-5162
Publisher: IJ Publication


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