"Vibe-Trading: Your Personal Trading Agent"
Python Backtesting library for trading strategies
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
Open source software that helps you create and deploy high-frequency crypto trading bots
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
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.
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.
🔎 📈 🐍 💰 Backtest trading strategies in Python.
TSP自托管、零运维的 A 股「自建策略 + 监控 + 回测」量化工作台 | LLM能力驱使策略定制+个股分析+复盘 | 自由接入第三方数据源与个性化扩展数据 | 个人开源
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.
📈 Get real-time stocks from TradingView
A curated list of insanely awesome libraries, packages and resources for systematic trading. Crypto, Stock, Futures, Options, CFDs, FX, and more | 量化交易 | 量化投资
Free, open source, a high frequency trading and market making backtesting and trading bot, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books(Level-2 and Level-3), with real-world crypto trading examples for Binance and Bybit
modular quant framework.
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
Algorithmic Trading in Python with Machine Learning
面向 A 股日K、分钟K与ETF分钟数据的本地量化引擎，集成增量同步、本地缓存、复权、批量查询、回测与指标计算。
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Open-source Rust framework for building event-driven live-trading & backtesting systems
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