Showing 14 of 14 projects
An open-source data platform that integrates proprietary, licensed, and public financial data sources for analysts, quants, and AI agents.
A curated list of insanely awesome libraries, packages, and resources for Quantitative Finance (Quants).
A Python library for downloading market data from Yahoo! Finance's public API.
An elegant and simple Python library for fetching financial data from various sources, designed for quantitative research.
An open-source time-series database for high-speed ingestion and low-latency SQL queries.
A Python utility for crawling, cleaning, and storing historical financial data for China stocks and futures.
A curated list of awesome resources for applying LLMs and deep learning to financial market analysis and algorithmic trading.
A modular quantitative finance framework for data collection, analysis, strategy backtesting, and machine learning across multiple markets.
An open-source, low-latency trading execution system for quantitative traders, supporting Python and C++ strategies.
High-performance datastore optimized for time series and tick data storage and retrieval.
A machine learning framework for developing high-frequency trading strategies using full orderbook tick data.
A Python library that provides structured access to SEC EDGAR filings, including financial statements, insider trades, and fund holdings.
A comprehensive Rust library for quantitative finance, offering pricing models, risk analysis, and financial data tools.
A terminal-based stock ticker application that displays real-time financial data from Yahoo! Finance.
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