Python Backtesting library for trading strategies

Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

🔎 📈 🐍 💰 Backtest trading strategies in Python.

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

Free open source crypto trading bot to automate AI, Grid, DCA and TradingView strategies on Binance, Hyperliquid and 15+ exchanges, with a simple interface.

Free trading strategies for Freqtrade bot

Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

Trading strategy for the Freqtrade crypto bot

🤖 Open-source crypto trading bot | 📈 DCA & GRID strategies | ✨ UI | ⭐ Star to support the project!

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

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

Discover our Python package designed for algorithmic trading. It brings ICT's smart money concepts to Python, offering a range of indicators for your algorithmic trading strategies.

Strategies to Gekko trading bot with backtests results and some useful tools.

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

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.

💰 Cryptocurrency Trading Strategy & Portfolio Management Development Framework for Binance. 🤖

🤖📈 EA31337 Lite, Advanced and Rider - Forex multi-strategy trading robot for MT4/MT5 platforms

Powerful, proven, and extensible framework for building trading strategies at any frequency, with a focus on crypto currencies. Battle-tested with billions traded.

Developing Options Trading Strategies using Technical Indicators and Quantitative Methods

Open Source Trading Strategies & End-to-End solution connecting Metatrader4 & Metatrader5 💹 with Python with a simple drag and drop EA. Fully tested bug free & efficient solution for live & paper trading⭐ Full Documentation ready. Lightweight, efficient and stable implementation 🔥

Binance_grid_trader is a grid strategy bot trading with Binance Spot and Binance Futures Exchange. you can use it to trade any pair in Binance Exchange. Binance_grid_trader是一个币安网格策略软件, 目前支持币安现货，USDT合约和币币合约。

Howtrader: A crypto quant framework for developing, backtesting, and executing your own trading strategies. Seamlessly integrates with TradingView and other third-party signals. Simply send a post request to automate trading and order placement. Supports Binance and Okex exchanges.

Trading bot with support for realtime trading, backtesting, custom strategies and much more.

A working example algorithm for scalping strategy trading multiple stocks concurrently using python asyncio

Python-based framework for backtesting trading strategies & analyzing financial markets [GUI :neckbeard:]

An example algorithm for a momentum-based day trading strategy.

Analysis on systematic trading strategies (e.g., trend-following, carry and mean-reversion). The result is regularly updated.

This project involves using a combination of statistics along with financial thoery to demonstrate a popular trading strategy used in equity markets: Pairs Trading.

Create your Java crypto trading bot in minutes. Our Spring boot starter takes care of exchange connections, accounts, orders, trades, and positions so you can focus on building your strategies.

Claude Code skills for equity investors and traders — market analysis, technical charting, economic calendars, screeners, and trading strategy development.