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Awesome List
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
GitHub stars and default-branch commits for wilsonfreitas/awesome-quant.
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AKShare is an elegant and simple financial data interface library for Python, built for human beings! 开源财经数据接口库
This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
An Open Source Portfolio Backtesting Engine for Everyone | 面向所有人的开源投资组合回测引擎
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Leveraged Futures Exchange for Simulated Trading
AI-powered trading research platform. Test any idea on stocks, futures, and crypto with event studies, backtesting, and statistical validation. MCP server with 8 tools. pip install varrd.
Dive Into Crypto — a financial scanner for Binance USDT-M perpetual futures: 15 indicators across 12 timeframes, whale-microstructure divergence filtering, one consensus verdict per symbol. Native Android, runs on your device.