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Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
A high-frequency trading model using Interactive Brokers API with pairs and mean-reversion in Python
Python library for portfolio optimization, factor model construction, and risk management built on scikit-learn
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
MarS: a Financial Market Simulation Engine Powered by Generative Foundation Model
C#/.NET client library for the Binance.com cryptocurrency exchange REST and WebSocket APIs, supporting Spot and Futures trading and market data with strongly typed models.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Environment for reinforcement-learning algorithmic trading models
Open tax skills for AI: 2,250 skills across 266 jurisdictions, every figure cited to the law. Works in ChatGPT, Claude, Cursor and any MCP client.
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
The foundational library of the Morpheus data science framework
Real-time HFT bot for Polymarket crypto Up/Down markets combining CLOB order books, Chainlink feeds and multi-exchange prices with TWAP and Black-Scholes probability models; paper mode and backtests.
Building a population of models that trade crypto and mutate iteratively
TranslatedA nutrition-pairing tool based on McDonald's China's official MCP: it expands each combo item by item to get official nutrition and official pricing, marks the price source of every amount, and honestly labels anything it cannot retrieve as "unknown" instead of filling in 0. Runs offline, no Token needed. Does not provide ordering capability.
Open BTC 5-minute prediction market sandbox for AI agents — register with one API call, get 1,000 test credits, and place a live order
Financial Market Intelligence MCP Server — stock quotes, technical analysis, crypto data, and portfolio insights for AI agents
The EU & UK compliance plane for Google ADK.
MCP server for SuperScalar — Bitcoin Lightning channel factories. Query protocol specs, estimate UTXO savings, and explore factory architectures.