Showing 1-20 of 48 projects
Crypto trading bot with backtesting and machine learning
AI-powered quantitative investment platform for finance and trading
Zipline is a Pythonic algorithmic trading library for backtesting and live trading.
Open-source quantitative trading system for stocks, options, futures, and Bitcoin, built with machine learning.
FinRL is a financial reinforcement learning library that helps developers build AI-driven trading agents.
A comprehensive Python library for quantitative trading strategies, including indicators, pattern recognition, and portfolio optimization.
An open-source platform for developing algorithmic and quantitative trading bots for stocks, forex, crypto, and options.
A curated list of practical financial machine learning tools and applications for developers.
Backtesting.py is a Python library for backtesting and evaluating trading strategies in the financial markets.
An advanced cryptocurrency trading bot written in Python for algorithmic trading strategies.
A curated list of awesome libraries, packages, strategies, books, blogs, and tutorials for systematic trading.
Portfolio analytics library for quantitative finance, built with Python
A high-performance Python library for backtesting, algorithmic trading, and quantitative research.
A Python library for financial portfolio optimization, including classical efficient frontier and advanced techniques.
A trading and technical analysis bot for cryptocurrency trading
Open-source crypto trading bot with integrated charting, data-mining, backtesting, and multi-server deployment
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
A high-frequency trading and market making backtesting and trading bot built with Rust for crypto trading on Binance and Bybit.
A quantitative finance framework for algorithmic trading, portfolio management, and asset pricing.
A curated list of libraries and resources for systematic trading across crypto, stocks, futures, and more.
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