FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance

Open-source deep-RL library for quantitative finance providing environments for stock, portfolio, and crypto trading with multiple algorithm backends.

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Publisher: AI4Finance Foundation
Year: 2020
Venue: preprint
ArXiv: arxiv.org/abs/2011.09607
URL: arxiv.org/abs/2011.09607
Code: github.com/AI4Finance-Foundation/FinRL
Authors: 7
Hosting: External sourcelicense unknown

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Attribution

Abstract & full text: arxiv.org/abs/2011.09607
TL;DR: semanticscholar.org/paper/1fc643611860d9cb46df0251c35c2c55a941f3f2
Code: github.com/AI4Finance-Foundation/FinRL

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Introduces 2 artifacts - 2 tools

TL;DR

Semantic Scholar

A DRL library FinRL is introduced that facilitates beginners to expose themselves to quantitative finance and to develop their own stock trading strategies and to compare with existing schemes easily.

Artifacts

Tools

FinRL Openenv Finrl RL Env (Hugging Face)

Authors

Bowen Xiao Christina Dan Wang Hongyang (Bruce) Yang Liuqing Yang Qian Chen Runjia Zhang Xiao-Yang Liu