backtesting-frameworks

🔎 📈 🐍 💰 Backtest trading strategies in Python.

A nimble options research and backtesting library for Python

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

Backtesting framework for modern option strategies

A股回测框架， 模拟实盘账户交易, 适合编写T+0策略

Backtesting toolbox for trading strategies

A personal automated trading system

Python Backtesting library for trading strategies

A strategy tester for MetaTrader5 in Python language

Fcore Is a Framework for Financial Markets Analysis (In progress).

Trading strategy backtesting framework supporting multiple concurrent sessions, complex exit strategies, and multi-exchange data sources with simple Python implementation

Blazingly fast strategy backtest with polars

Backtest and run stock trading CFD strategies tick by tick

Back Testing strategies fast in Python

Fast exact grid search and backtesting of moving-average crossover strategies, with vectorized evaluation and multiple-testing-aware Sharpe diagnostics.

DataTrader è una piattaforma open-source di backtesting basato sugli eventi da utilizzare nei mercati azionari. La maggior parte delle strategie descritte nel sito TradingQuant.it (www.tradingquant.it) utilizza DataTrader come framework per il backtest.

Agent-powered strategy lab for crypto trading ideas. Generate, backtest, improve, and compare strategy versions in a continuous loop.

Framework open-source in python progettato per l'investitore. Permette di effettuare simulazioni di strategie di asset allocation per portafogli di azioni ed ETF. Descritto ed utilizzato su TradingQuant.it (www.tradingquant.it)

A Python framework for testing trading strategies against the ways backtests mislead: look-ahead audits, matched-exposure controls, and block-bootstrap significance tests. The tester is itself tested - a property fuzzer plus mutation testing (4 planted engine bugs, all caught). Includes three case studies of rejected ideas.

Keel — CLI and MCP server for AI-driven crypto strategy development on Hyperliquid