Athenarabeta

athenara:~$ registry inspect architectures/finrl

● finrl — external

FinRL

A deep reinforcement learning library that packages market environments, DRL algorithms, and backtesting into a pipeline for training automated trading agents.

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#reinforcement-learning #drl #portfolio-allocation #backtesting #gym

added 2026-08-15 · MIT · external

$ git clone https://github.com/AI4Finance-Foundation/FinRL
finrl
├─ market environments
├─ DRL agents
└─ backtesting

FinRL supplies gym-style environments built from market data for indices including NASDAQ-100, S&P 500, HSI, and SSE 50, together with implementations of DDPG, PPO, SAC, A2C, and TD3 and a backtesting module. Environments model practical frictions such as transaction costs and liquidity constraints — the fidelity issues that make or break the RL-policy pattern (see related).

The library ships tutorials for single-stock trading, multi-stock trading, and portfolio allocation. Maintained by the AI4Finance Foundation; introduced at the Deep RL Workshop, NeurIPS 2020 (arXiv:2011.09607).

trading [●●●··] moderate   ai [●●●●·] advanced   programming [●●●··] moderate   setup [●●●··] moderate

authors AI4Finance Foundation, Xiao-Yang Liu, Hongyang Yang, Christina Dan Wang
origin external
license MIT
markets equities

implements rl-policy

described in finrl-paper

extended by FinRL-Meta · Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? · FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning · FINSABER

athenara:~$