backtester

QTPyLib, Pythonic Algorithmic Trading

Python Crypto Bot (PyCryptoBot)

GPU-accelerated Factors analysis library and Backtester

Low-latency algorithmic trading platform written in Rust

Easy to use backtrader UI

Option and stock backtester / live trader

Backtester for evaluating options and equity portfolio strategies over historical data. Includes tools for strategy sweeps, tail-risk hedge analysis, and signal-based timing research.

Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.

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

Batch backtest, import and strategy params optimalization for Gekko Trading Bot. With one command you will run any number of backtests.

Gekko Trading Bot dataset dumps. Ready to use and download history files in SQLite format.

Backtesting framework for modern option strategies

Quantitative systematic trading strategy development and backtesting in Julia

Algorithmic trading infrastructure in Python.

Python based open source quantitative trading platform development framework

Automated Trader (at). This is a framework for building trading bots.

IMC Prosperity Backtester written in Rust for Blazingly Fast Backtest runs.

Professional Backtesting Engine for crypto, stocks and forex

Framework for quantitative strategies development, backtesting and live execution.

In this repository, an event-driven backtester is implemented based on QuantStart articles. The backtester is programmed in Python featuring numerous improvements, in terms of coding structure, data handling, and simple trading strategies.