🔎 📈 🐍 💰 Backtest trading strategies in Python.

An advanced crypto trading bot written in Python

Portfolio analytics for quants, written in Python

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

🚀 💸 Easily build, backtest and deploy your algo in just a few lines of code. Trade stocks, cryptos, and forex across exchanges w/ one package.

💹 Hackable charting lib for traders. You can draw literally ANYTHING on top of candlestick charts. [Not Maintained]

QTPyLib, Pythonic Algorithmic Trading

Open-source Rust framework for building event-driven live-trading & backtesting systems

Python client for Alpaca's trade API

Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.

Hands-On Machine Learning for Algorithmic Trading, published by Packt

Open Source Algo Trading Platform for Everyone

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

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

Python for Algorithmic Trading Cookbook, published by Packt

AI-driven, local-first quantitative trading platform for research, backtesting and live execution. Python-native, privacy-first, open source.

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Open Source algo trading platform

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。

A curated list of awesome algorithmic trading frameworks, libraries, software and resources

Learn Algorithmic Trading, Published by Packt

Framework for algorithmic trading

IBeam is an authentication and maintenance tool used for the Interactive Brokers Client Portal Web API Gateway.

Asynchronous, event-driven algorithmic trading in Python and C++

A ranked list of algorithmic trading open-source libraries, frameworks, bots, tools, books, communities, education materials. Updated weekly.

A header-only C++ library for interacting with crypto exchanges. Bindings for Python, Java, C#, Go, and Javascript are provided.

Backtest and live trading in Python

C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.

Multi-asset, multi-strategy, event-driven trading platform for running low to medium freq strategies at many venues simultaneously with portfolio-based risk management and %-per-strategy capital allocation. Supports event-driven backtesting across all desired instruments, venues and strategies under a single parameterized portfolio.