1.AI4Finance-Foundation / FinRL
FinRL®: Financial Reinforcement Learning. 🔥
- deep-reinforcement-learning
- drl-trading-agents
- stock-trading
- drl-algorithms
- pythorch
- tensorflow2
- +8 more
Ranked by Attention Score: stars gained over the last 180 complete days
15 repositories by Attention Score · May 8, 2026 – Nov 3, 2026 (UTC)
FinRL®: Financial Reinforcement Learning. 🔥
Translated[🔥updating ...] AI automated quantitative trading robot (fully local deployment) AI-powered Quantitative Investment Research Platform. 📃 online docs: https://ufund-me.github.io/Qbot ✨ :news: qbot-mini: https://github.com/Charmve/iQuant
Performance analysis of predictive (alpha) stock factors
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Portfolio and risk analytics in Python
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
Research experiments exploring uncommon quant techniques.
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
TensorForce Bitcoin Trading Bot
Analysis of High Frequency Trading on Bitcoin exchanges
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Reinforcement Learning for Portfolio Management
💸 Papers and Code Implements for Quantitative-Trading