🔎 📈 🐍 💰 Backtest trading strategies in Python.

A high frequency trading and market making backtesting and trading bot in Python and Rust, which accounts for limit orders, queue positions, and latencies, utilizing full tick data for trades and order books, with real-world crypto market-making examples for Binance Futures

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

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

A Comprehensive Collection of Everything Related to Tradingview Pine Script.

Algorithmic trading framework for cryptocurrencies.

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

Modular Python library that provides an advanced event driven backtester and a set of high quality tools for quantitative finance. Integrated with various data vendors and brokers, supports Crypto, Stocks and Futures.

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

Shioaji all new cross platform api for trading ( 跨平台證券交易API )

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

OpenAI Gym Environment API based Bitcoin trading environment

NOTE: Barter-Data migrated to Barter monorepo: https://github.com/barter-rs/barter-rs

convenient library for trading with python.

This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.

Trading Simulator and Charting Application

Aku - Tiny Backtesting/Trading Engine

Neuro evolution agent to buy and sell stocks atumatically

poetiq - Platform O' Electronic Trading In Q

TradingMachine is a mini-trading system simulation, whose components (market data and order feeds, FIX acceptor and initiator, back-end for filled orders) interact by queues and topics.