Showing 1-19 of 19 projects
High-performance algorithmic trading platform with AI-first design for backtesting and live trading
Lean Algorithmic Trading Engine by QuantConnect, a C# and Python library for developing and backtesting trading strategies.
An open-source platform for developing algorithmic and quantitative trading bots for stocks, forex, crypto, and options.
Open-source crypto trading bot with integrated charting, data-mining, backtesting, and multi-server deployment
A comprehensive platform for learning, simulating, and live trading of stocks using AI and ML techniques.
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
A quantitative finance framework for algorithmic trading, portfolio management, and asset pricing.
Self-hosted crypto trading bot for automated high frequency market making
A Go-based cryptocurrency trading bot and framework that supports multiple exchanges.
An open-source quantitative trading platform powered by reinforcement learning for finance and fintech developers.
Ultra-fast matching engine for cryptocurrency exchanges written in Java.
Open-source Rust framework for building event-driven live-trading & backtesting systems
A Python-based trading and backtesting environment for training reinforcement learning agents or simple rule-based algorithms.
A Python AutoML library for building trading systems and sports betting models.
A collection of trading strategies and tools for the Gekko trading bot, with backtesting results.
A high-frequency quantitative trading platform in C++ for quant developers.
A Python-based platform for building and optimizing automated trading systems.
A quant framework for stock trading, with support for cryptocurrency and fintech analysis.
Kelp is a free and open-source trading bot for the Stellar DEX and 100+ centralized exchanges.
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