Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{200066,
author = {APURVA KISHOR NAGARE and Anshul Deshmukh and Niraj Madane and Om Chaturkar and Renuka Arbat},
title = {TradeSense AI: Intelligent Portfolio Analysis and Trading Advisory System Using Technical and Sentiment Analysis},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {12},
pages = {11231-11236},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=200066},
abstract = {Trade Sense AI is an intelligent portfolio analysis and trading advisory system designed to simplify investment decision-making for retail investors. Financial markets generate large volumes of real-time and historical data, making it difficult for users to interpret technical indicators and market trends effectively. The system integrates real-time stock data, technical analysis, and AI-based sentiment analysis to generate actionable trading recommendations. The proposed solution improves decision-making efficiency and simplifies complex financial insights.},
keywords = {Artificial Intelligence, Stock Market, Sentiment Analysis, Technical Indicators, Portfolio Analysis},
month = {May},
}
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