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.
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FinceptTerminal is a modern finance application offering advanced market analytics, investment research, and economic data tools, designed for interactive exploration and data-driven decision-making in a user-friendly environment.
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
FinRL®: Financial Reinforcement Learning. 🔥
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
A curated list of practical financial machine learning tools and applications.
A extendable, replaceable Python algorithmic backtest && trading framework supporting multiple securities
Performance analysis of predictive (alpha) stock factors
Stock price prediction using a deterministic algorithm inspired by LSTM, focusing on pattern recognition in historical data.