FinRL provides an open-source ecosystem that features Deep Reinforcement Learning in finance for all-level users.
About FinRL
FinRL is the first open-source framework for financial reinforcement learning. We are devoted to developing and sharing ML codes with data scientists, software engineers, quantitative traders, and ML researchers.
AI4Finance Foundation aims to democratize the opportunity for personal capital growth and build an “open finance” culture.
FinRL Ecosystem
Deep Reinforcement Learning to Automate Trading in Quantitative Finance
- FinRL provides a full-stack pipeline to automatically streamline the development of trading strategies and help overcome the steep learning curve. It has a three-layer software stack and facilitates a faster iteration of trading strategies.
Our projects
FinRL
Framework
A full-stack pipeline for algorithmic trading
ElegantRL
Algorithm
A cloud-native deep reinforcement learning library
FinRL-Meta
Data-Driven
A universe of market environments and benchmarks
FinRL-Podracer
Cloud-Native
A high-performance and scalable solution for RLOps in finance.
PROJECTS
A showcase of our works
SERVICES
How we can be useful for you
Check Out Our Open-Source Solutions!
AI4Finance-Foundation
E: info@ai4finance.net
AI community has accumulated an open-source code ocean over the past decade. We believe applying these intellectual and engineering properties to finance will initiate a paradigm shift from the conventional trading routine to an automated machine learning approach, even RLOps in finance.
Columbia University
E: hy2500@columbia.edu
A lot of researchers from Columbia University are collaborating with us to build an open-source community and conduct academic research.
International Digital Economy Academy
E: recruiting@idea.edu.cn
The International Digital Economy Academy (“IDEA”) is an international innovation-driven research institute that focuses on artificial intelligence (“AI”), digital economy and cutting-edge technologies.
CONTACT
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