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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。

"Vibe-Trading: Your Personal Trading Agent"

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

🔎 📈 🐍 💰 Backtest trading strategies in Python.

AI quantitative trading platform for crypto, stocks, and forex with backtesting, live trading, market data, and multi-agent research.vibe-trading ,trading-agents,ai-trader,ai-trading

The backtesting engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.

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.

📈 Get real-time stocks from TradingView

Algorithmic Trading in Python with Machine Learning

Hikyuu Quant Framework 基于C++/Python的超高速开源量化交易研究框架，同时可基于策略部件进行资产重用，快速累积策略资产。

Open-source Rust framework for building event-driven live-trading & backtesting systems

Python Crypto Bot (PyCryptoBot)

fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!

Python AutoML for Trading Systems and Sports Betting

Backtestable AI trading agents and Python algorithmic trading strategies for stocks, options, crypto, futures, forex, SEC filings, FRED macro data, and real brokers.