Awesome GitHub RepositoriesIndustry Classification Systems

This project is a comprehensive framework for engineering financial data pipelines, designed to automate the collection, cleaning, and synchronization of large-scale market datasets. It functions as a quantitative trading data engine, providing the infrastructure necessary to manage historical and real-time asset pricing information for research and machine learning workflows. The system distinguishes itself through a configuration-driven approach to orchestration, allowing users to manage complex data acquisition tasks across multiple financial providers. It features resilient middleware tha

This project is a Python library designed for the programmatic retrieval and analysis of diverse financial datasets. It functions as a comprehensive toolkit for quantitative research, providing a unified interface to fetch historical and real-time market data across asset classes including equities, futures, bonds, cryptocurrencies, and foreign exchange. By abstracting complex network requests into simple, parameter-driven functions, it enables users to integrate financial data into research workflows and automated trading systems. The library distinguishes itself through its scraper-based ag

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