A modular, full-stack algorithmic trading platform built for backtesting, live trading, and research. This project enables end-to-end automation — from data acquisition to trade execution — and provides a web-based dashboard to monitor and analyze your portfolio.

This repository consists of four main modules:

• A Python module for backtesting trading strategies and executing real-time trades.
• Implements a plug-and-play framework to test strategies using historical data and simulate trades.
• Supports modular strategy design, risk management, and performance metrics tracking.
• Integrated with MongoDB for logging trades, positions, and performance analytics.

• Python scripts to scrape stock market data (intraday, EOD, fundamentals).
• Cleans, transforms, and stores structured data in MongoDB collections.
• Supports scheduling to keep datasets fresh and aligned with market hours.
• Designed to work with various data providers and APIs.

• Python module for quantitative research and statistical analysis.
• Tools for calculating technical indicators, volatility, correlations, and signals.
• Helps identify high-probability trading setups using historical simulations.
• Includes notebooks and scripts for exploratory data analysis.

• A Node.js frontend and API layer for viewing:
  • Portfolio performance
  • Open/closed positions
  • Stock data and trade signals
• Built with modern web frameworks for responsive, real-time monitoring.
• RESTful APIs serve as integration points for third-party platforms or apps.

.
├── algo_trading/      # Trading engine for backtesting & live execution
├── etl/               # Data collection and ingestion scripts
├── analytics/         # Research tools for strategy development
├── webapp/            # Node.js frontend & REST API server
└── README.md          # This file