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Financial reinforcement learning framework for quantitative trading. Deep RL library for stock trading, portfolio allocation, and market execution with pre-built environments and benchmarks. MIT licensed.
Section: 11. Specialized Domains · Financial reinforcement learning framework for quantitative trading. Deep RL library for stock trading, portfolio allocation, and market execution with pre-built environments and benchmarks. MIT licensed.
Section: Industry Strength Reinforcement Learning · FinRL is the first open-source framework to demonstrate the great potential of financial reinforcement learning.
Section: Trading & Backtesting · Python - A Deep Reinforcement Learning Library for Automated Trading in Quantitative Finance. NeurIPS 2020.
Section: Machine Learning · FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.
Section: AI Powered Systematic Trading Systems · | Python | - FinRL is the first open-source framework to demonstrate the great potential of applying deep reinforcement learning in quantitative finance.
Modern, comprehensive probabilistic programming framework in Python. Bayesian modeling with advanced MCMC sampling, variational inference, and seamless integration with ArviZ for visualization. Apache 2.0 licensed.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Quantitative finance: multi-agent AI hedge fund trading system featuring native JevLLM integration to execute fast typed decisions without parsing fragility.
FAIR's next-generation research platform for object detection and segmentation. It is a ground-up rewrite of the previous version, Detectron, and is powered by the PyTorch deep learning framework.
A unified trading API with more than 100 crypto exchanges and prediction markets in JavaScript / TypeScript / Python / C# / PHP / Go / Java / Rust
| Python, Cython, Rust, Live Trading | - A high-performance algorithmic trading platform and event-driven backtester