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!

Open-Source software developers and programmers are the backbone of today’s humanity and humanitarian technology.

FinRL provides an open-source ecosystem that features Deep Reinforcement Learning in finance for all-level users.

Entry-level users

FinRL provides demonstrative and educational materials to help beginners such as students and entry-level professionals to walk through the DRL for finance pipeline.

Intermediate-level users

FinRL provides lightweight and scalable DRL algorithms with finance-oriented optimizations for full-stack developers and professionals.

Advanced-level users

FinRL delivers cloud-native solutions with high performance and high scalability training for investment banks and hedge funds.

Cloud-Native Solution

FinRL-Podracer can obtain a profitable trading agent in 10 minutes on an NVIDIA DGX SuperPOD cloud with 80 A100 GPUs, for a stock trend prediction task on NASDAQ-100 constituent stocks with minute-level data over 5 years.

Market Simulations

Reduce data processing burden; Reduce simulation-to-reality gap; Provide benchmark performance

OUR COLLABORATORS

World’s best research organizations
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AI4Finance-Foundation

E: info@ai4finance.net

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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.

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Columbia University

E: hy2500@columbia.edu

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A lot of researchers from Columbia University are collaborating with us to build an open-source community and conduct academic research.

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International Digital Economy Academy

E: recruiting@idea.edu.cn

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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

Start a project with us!

OUR LOCATION

AI4Finance-Foundation

530W 120TH ST CEPSR RM 718

NEW YORK CITY, NEW YORK

10027

CALL US

+001

DROP US A LINE

ifinrl@gmail.com

Let's start a project together!

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