Awesome GitHub RepositoriesQuantitative Analytics

StockSharp is an algorithmic trading platform and quantitative framework used for developing and deploying trading robots across stock, forex, and cryptocurrency markets. It functions as a multi-asset trading gateway and a dedicated development environment for building, debugging, and scheduling automated strategies. The platform includes a visual strategy workflow editor that maps logic blocks to executable code and a simulation engine that replays historical tick data to validate trading logic. It utilizes a plugin-based broker integration system to normalize diverse exchange protocols into

This project is a financial market data API and quantitative analysis tool designed to aggregate metrics, scrape web data, and monitor market sentiment. It functions as a financial indicator aggregator and stock market web scraper that provides a programmatic interface for retrieving stock prices, indices, and ETF metadata from multiple data providers. The system differentiates itself through a dedicated market sentiment monitor and investment risk assessment capabilities. It tracks investor behavior via northbound capital flows, dragon-tiger lists, popularity rankings, and security margin ba

This project is a Python quantitative trading framework and library designed for developing, backtesting, and deploying automated financial strategies. It serves as both an algorithmic trading backtester for evaluating historical performance and an event-driven trading engine for executing trades based on quantitative rules. The framework functions as an educational toolkit, providing guided lessons and resources for quantitative finance learning and the application of mathematical models to market data. The system provides capabilities for algorithmic trading automation and financial strate