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International Advanced Research Journal in
Science, Engineering and Technology

A monthly Peer-reviewed & Refereed journal

ISSN Online 2393-8021
ISSN Print 2394-1588

Since 2014

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

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).


Downloads: PDF | DOI: 10.17148/IARJSET.2025.12426

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

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