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 90 complete days
17 repositories by Attention Score · Aug 6, 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
Portfolio and risk analytics in Python
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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).
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
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.
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.
TensorForce Bitcoin Trading Bot
Environment for reinforcement-learning algorithmic trading models
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Analysis of High Frequency Trading on Bitcoin exchanges
💸 Papers and Code Implements for Quantitative-Trading
Reinforcement Learning for Portfolio Management
Research experiments exploring uncommon quant techniques.