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The most complete open-source, self-hosted Agentic Trading OS—AI research, Python strategies, factor discovery, backtesting, optimization, paper/live multi-asset execution, risk controls, monitoring, MCP, and multi-tenant SaaS in one auditable stack.
Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Translated🦄🦄🦄AI-empowered stock analysis: an AI-powered stock analysis/stock selection tool. Fetches stock quotes, AI analysis of hot news, AI analysis of funds/financials, and push alerts for price rises and falls. Supports A-shares, Hong Kong stocks, and US stocks. Supports overall market/individual stock sentiment analysis, AI-assisted stock selection, and more. All data stays local. Supports platforms or models such as DeepSeek, OpenAI, Ollama, LMStudio, AnythingLLM, 硅基流动 (SiliconFlow), 火山方舟 (Volcano Ark), and 阿里云百炼 (Alibaba Cloud Bailian).
11 Claude skills for day trading: scan thousands of charts, track breaking news, time every entry and exit, and replay every outcome before you risk a dollar.
TranslatedTSP: a self-hosted, zero-maintenance quantitative workbench for A-shares covering "custom strategies + monitoring + backtesting" | LLM capabilities drive strategy customization + individual stock analysis + post-trade review | Freely connect third-party data sources and personalized extended data | Personal open-source project
Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.
MCP server for market analysis in AI assistants: screeners, multi-timeframe technical analysis, backtests and sentiment for crypto, stocks, forex and futures. 39 tools. Self-host free, or use the hosted version, TradingMCP.
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
FinRL-X: An AI-Native Modular Infrastructure for Quantitative Trading
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
A cryptocurrency trading bot and framework supporting multiple exchanges written in Golang.
Statistical and Algorithmic Investing Strategies for Everyone
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Python trading framework with AI agents that actually place the trade. Backtest, paper and live trade on 12 brokers: stocks, options, futures, forex, crypto and prediction markets.
Agentic AI Hedge Fund OS (AIMM)
High-performance technical analysis indicators and backtesting framework in Go. Zero dependencies. ✨ See how! 👀
Python AutoML for Trading Systems and Sports Betting
QuantaAlpha transforms how you discover quantitative alpha factors by combining LLM intelligence with evolutionary strategies. Just describe your research direction, and watch as factors are automatically mined, evolved, and validated through self-evolving trajectories.
A fast trading bot platform for cryptocurrency in Go (Binance)
一个股票数据（沪深）爬虫和选股策略测试框架
Scalable, event-driven, deep-learning-friendly backtesting library
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.