TradeIQ: AI-Powered Paper Trading & Market Intelligence

TradeIQ is a comprehensive AI-powered paper trading platform that simulates real market conditions. It integrates live data feeds, ML-based trend prediction, and a full trading dashboard — all without risking real capital.

Designed a ReactJS frontend with a real-time dashboard showing market data, portfolio P&L, and trade history. The FastAPI backend handled authentication, order management, and data pipelines pulling from NSE/BSE via Selenium-automated broker sessions.

Built scikit-learn models for seasonal pattern detection and trend forecasting using time-series data stored in MongoDB. Integrated an NLP query interface so users can ask natural language questions about stock performance.

Created ETL pipelines using Pandas & Numpy to clean, transform, and store tick data. Scheduled cron jobs to refresh data every market day and maintain historical datasets in MySQL for backtesting.