Algorithmic trading framework for cryptocurrencies.

Common financial technical indicators implemented in Pandas.

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

algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex, binance futures, market making)

The Open-Source Backtesting Engine/ Market Simulator by Bertram Solutions.

API for algorithmic and high-frequency trading

An advanced crypto trading bot written in Python

PortfolioLab is a python library that enables traders to take advantage of the latest portfolio optimisation algorithms used by professionals in the industry.

🚀 Websocket based trading bot for 💰cryptocurrencies 📈

How to use the Roq C++20 API for Live Cryptocurrency Algorithmic and High-Frequency Trading as well as for Back-Testing and Historical Simulation

A stream-based approach to algorithmic trading and backtesting in Node.js

Alpaca Trading API integrated with backtrader

Codera Quant is a Java framework for algorithmic trading strategies development, execution and backtesting via Interactive Brokers TWS API or other brokers API

Find big moving stocks before they move using machine learning and anomaly detection

Quantitative analysis, strategies and backtests

🔎 📈 🐍 💰 Backtest trading strategies in Python.

💹 openAlgo is a public repository for various work product relavant to algorithms and the high frequency low latency electronic trading space with a bias toward market microstructure as well as exchange traded futures and options.

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

convenient script for trading with python.

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.