Trading Algorithms Python Packages

backtesting

🔎 📈 🐍 💰 Backtest trading strategies in Python.

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

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

finta

Common financial technical indicators implemented in Pandas.

backtrader-next

Python Backtesting library for trading strategies

octobot-evaluators

Library containing the framework that generates trading signals for OctoBot

autotrader

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

trading-strategy

Python framework for quantitative financial analysis and trading algorithms on decentralised exchanges

stock-indicators

Stock Indicators for Python. Maintained by @LeeDongGeon1996

marketprofile

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

hexital

Hexital - Incremental Technical Analysis Library

quick-trade

Convenient library for trading with python.

margot

An algorithmic trading framework for pydata.

basana

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

gym-trading-env

A simple, easy, customizable Gymnasium environment for trading.

alpaca-backtrader-api

Alpaca Trading API integrated with 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

dquant

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

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

Rebalance Spot Trading Bot for the Kraken Cryptocurrency Exchange

mlcf

MLCF - Machine Learning Toolkit for Cryptocurrency Forecasting

backtrader-binance

Binance API integration with Backtrader. Run strategies for Backtest and Live Trading. Get historical price data for Bitcoin, Ethereum and all coins from Binance. EASY create your strategies.