QTPyLib, Pythonic Algorithmic Trading
Python Crypto Bot (PyCryptoBot)
GPU-accelerated Factors analysis library and Backtester
Low-latency algorithmic trading platform written in Rust
Option and stock backtester / live trader
Find your trading, investing edge using the most advanced web app for technical and fundamental research combined with real time sentiment analysis.
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.
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.
Quantitative systematic trading strategy development and backtesting in Julia
Backtesting framework for modern option strategies
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
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.
Framework for quantitative strategies development, backtesting and live execution.
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