Showing 1-20 of 49 projects
Financial data platform for analysts, quants, and AI agents
AI-powered quantitative investment platform for finance and trading
Curated list of quantitative finance libraries and resources for developers.
An AI-powered quantitative investment research platform for algorithmic trading and backtesting.
A Python-based platform for stock data analysis and trading, providing tools for backtesting and automated trading.
Python wrapper for the TA-Lib technical analysis library, useful for financial pattern recognition.
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.
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
The QuantLib C++ library is a comprehensive framework for quantitative finance, providing tools for financial modeling and analysis.
A high-performance Python library for backtesting, algorithmic trading, and quantitative research.
A collection of notebooks covering quantitative finance and numerical methods in Python.
A Python library for financial portfolio optimization, including classical efficient frontier and advanced techniques.
High-performance TensorFlow library for quantitative finance applications.
A curated list of awesome LLMs, deep learning strategies, and tools for financial market analysis.
A quantitative research and stock analysis platform for finance professionals.
A modular quantitative trading framework for algorithmic trading, backtesting, and financial analysis.
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