Discover quality open-source projects, submit projects anonymously, and claim and edit your own project.
A little curiosity. A world of open source.
THE FIRST COLLECTIONVectorBT is an open-source Python backtesting library that vectorizes strategy research: it packs thousands of parameter combinations into NumPy arrays and accelerates them with Numba and an optional Rust engine, plus portfolio analytics and interactive Plotly visualization.
Backtesting.py is a Python library for backtesting trading strategies. It offers a simple API, fast execution, a built-in optimizer, composable base strategies, and interactive visualizations for analyzing OHLC(V) financial data.
A local-first paper trading and quantitative research engine tailored for China A-share rules. It features built-in strategies, T+1/lot size/limit price validation, multi-source data verification, layered risk control, and Docker deployment with offline deterministic demos.
An autonomous crypto trading AI orchestrator built on Model Context Protocol (MCP), featuring multi-agent LLM consensus, agentic backtesting, Telegram command center, and a cyberpunk 3D dashboard with real-time market data visualizations.
ABU Quantitative Trading System is an open-source Python framework for quantitative investment, supporting US stocks, A-shares, HK stocks, futures, options, and Bitcoin. It features backtesting, position management, and machine learning optimization.
Freqtrade is a free open-source crypto trading bot in Python with backtesting, dry-run, ML-based strategy optimization, FreqAI adaptive prediction, Telegram/WebUI control, and support for major spot and futures exchanges.
Qlib is an AI-oriented quantitative investment platform designed to cover the full ML pipeline from data processing and model training to back-testing and production.
