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Curated list of quantitative finance libraries and resources for developers.
Lean Algorithmic Trading Engine by QuantConnect, a C# and Python library for developing and backtesting trading strategies.
A comprehensive Python library for quantitative trading strategies, including indicators, pattern recognition, and portfolio optimization.
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.
Open-source crypto trading bot with integrated charting, data-mining, backtesting, and multi-server deployment
A quantitative research and stock analysis platform for finance professionals.
A high-frequency trading and market making backtesting and trading bot built with Rust for crypto trading on Binance and Bybit.
A curated list of libraries and resources for systematic trading across crypto, stocks, futures, and more.
Open-source statistical and algorithmic investing strategies for everyone
C++ DataFrame library for statistical, financial, and machine learning analysis.
A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.
A Java library for technical analysis of financial markets like stocks, cryptocurrencies, and forex.
An OpenAI Gym-based trading environment for developing and testing AI-driven trading algorithms.
A Python library for interacting with the Robinhood financial app, enabling crypto, options, and stock trading.
A Python library for finding big moving stocks using machine learning and anomaly detection.
A curated list of resources for machine learning-based algorithmic trading and quantitative finance.
A TypeScript-based system for algorithmic trading and investing in the stock market.
A comprehensive collection of resources for TradingView Pine Script, a powerful tool for algorithmic trading.
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