Open source software that helps you create and deploy high-frequency crypto trading bots

An advanced crypto trading bot written in Python

🔎 📈 🐍 💰 Backtest trading strategies in Python.

Portfolio analytics for quants, written in Python

QTPyLib, Pythonic Algorithmic Trading

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

Python client for Alpaca's trade API

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

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。

Framework for algorithmic trading

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

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.

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

Low-latency algorithmic trading platform written in Rust

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

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

CCXT-based cross-exchange arbitrage bot operating on CEXs, entirely written in Python. Work without any transfer between exchanges.

Backtest and live trading in Python

C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram [irc: Libra #tradeframe ]

An open source, hands-on and fully reproducible book in quantitative finance, data science and econophysics. Join us and help Make Wall Street Great Again!