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backtesting

🔎 📈 🐍 💰 Backtest trading strategies in Python.

lumibot

Backtesting and Trading Bots Made Easy for Crypto, Stocks, Options, Futures, FOREX and more. Lumibot also makes it very easy to run and backtest agentic AI trading strategies in a safer way.

robin-stocks

This is a library to use with Robinhood Financial App. It currently supports trading crypto-currencies, options, and stocks. In addition, it can be used to get real time ticker information, assess the performance of your portfolio, and can also get tax documents, total dividends paid, and more. More info at

jesse

An advanced crypto trading bot written in Python

finta

Common financial technical indicators implemented in Pandas.

hftbacktest

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

octobot-evaluators

OctoBot project evaluators package

backtrader-next

Python Backtesting library for trading strategies

autotrader

A Python-based development platform for automated trading systems - from backtesting to optimisation to livetrading.

stock-indicators

Stock Indicators for Python. Maintained by @LeeDongGeon1996

trading-strategy

Algorithmic trading data for cryptocurrencies and DEXes like Uniswap, Aave and PancakeSwap

hexital

Hex Incremental Technical Analysis Library

marketprofile

A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.

margot

An algorithmic trading framework for pydata.

gym-trading-env

A simple, easy, customizable Open IA Gym environments for trading.

dquant

DQuant is an open-source Python library for automated volatility forecasting of financial time series.

quick-trade

Convenient library for trading with python.

alpaca-backtrader-api

Alpaca API within backtrader

pwb-toolbox

The toolbox for developing systematic trading strategies. It includes datasets and strategy ideas to assist in developing and backtesting trading algorithms.

qube2

Community version of quantitative backtesting framework

mlcf

MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting

basana

A Python async and event driven framework for algorithmic trading, with a focus on crypto currencies.

marketquant

MarketQuant, created by Max Heltzel at Florida Gulf Coast University, is a flexible framework for building financial analysis tools, strategies, quantitative algorithms, or whatever you envision. I encourage innovation and collaboration—so feel free to contribute!

kraken-rebalance-bot

A rebalance trading bot for the Kraken cryptocurrency exchange.