🔎 📈 🐍 💰 Backtest trading strategies in Python.
QuantStart.com - QSTrader backtesting simulation engine.
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
Open-source Rust framework for building event-driven live-trading & backtesting systems
Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more
A stock backtesting engine written in Java. And a pairs trading (cointegration) strategy implementation using a bayesian kalman filter model
Option and stock backtester / live trader
Quantitative systematic trading strategy development and backtesting in Julia
Hybrid Event-driven and Vectorized Strategy Backtesting Library
Python based open source quantitative trading platform development framework
A Black-Scholes-based options backtesting simulator
Professional Backtesting Engine for crypto, stocks and forex
backtrader documentation
SimTradeLab is an open-source backtesting framework inspired by PTrade’s event-driven architecture. It features a lightweight, modular design and full syntax compatibility, enabling seamless strategy development and validation.
PyneCore - Pine Script Like Python Framework
🔮💰 Backtesting and execution of algorithmic trading strategies in Node.js
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
High performance, low-latency backtesting engine for testing quantitative trading strategies on historical and live data in Rust
A fast and simple backtest implementation for algorithmic trading in golang
Binance cryptocurrency trading bot
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