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International Advanced Research Journal in Science, Engineering and Technology
International Advanced Research Journal in Science, Engineering and Technology A Monthly Peer-Reviewed Multidisciplinary Journal
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← Back to VOLUME 12, ISSUE 4, APRIL 2025

Real Time Analysis of Financial Market with AI Driven Trading Stratergies using React JS

N. Bhagya Lakshmi, K. Venisha, M. Amitha, G. Sri Lakshmi, B. Nirmala Kumari

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Abstract: This project aims to design and develop a real-time, AI-powered trading platform that integrates multiple external financial data APIs, a custom backend with AI inference and trading logic, and brokerage APIs for order execution. The platform leverages both REST and WebSocket protocols to handle live market data, financial news, and predictive AI models to make informed trading decisions. The system is designed for reliability, scalability, and automation, suitable for both retail and professional traders.

Keywords: React JS, Machine Learning (ML), Long ShortTerm Memory (LSTM).

How to Cite:

[1] N. Bhagya Lakshmi, K. Venisha, M. Amitha, G. Sri Lakshmi, B. Nirmala Kumari, “Real Time Analysis of Financial Market with AI Driven Trading Stratergies using React JS,” International Advanced Research Journal in Science, Engineering and Technology (IARJSET), DOI: 10.17148/IARJSET.2025.12426

Creative Commons License This work is licensed under a Creative Commons Attribution 4.0 International License.