An open-source, high-performance quantitative trading framework in C++/Python focused on strategy analysis and backtesting Trading model R&D · Ultra-fast engine · Efficient backtesting
Quant GitHub Repositories (2026) · Open Source Tools
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A package that lets you create TradingView screeners in Python
Free, open source trading terminal. Agentic IDE for Python strategies and backtests. LSE market data integrated; connects to other data providers and brokers.
Technical analysis library: indicators and candlestick patterns, batch and streaming, native in C, Rust, Java, C#... and more
Framework for building trading systems
Open Source Algorithmic Trading Engine
QLNet C# Library
A data platform for investment research. Ingests financial data sources and computes point-in-time financial metrics for valuation and screening. Delivered as an MCP server.
Quant infrastructure for AI agents — a free, open-source desktop workspace for macOS and Windows where your Claude Code or Codex turns a trading idea into a backtested strategy and runs it live.
Autonomous Rust quantitative trading engine for Hyperliquid L1 perpetuals using 4D Hidden Markov Models, Ornstein-Uhlenbeck mean reversion, and L2 OBI.