Ross ROSS = Recommend OSS · open-source software intelligence for agents

FinRL

FinRL®: Financial Reinforcement Learning. 🔥 observed · 2026-08-28

github.com/AI4Finance-Foundation/FinRL · homepage · Jupyter Notebook · MIT (permissive) observed · 2026-08-28

Health v2 · maintenance only

76/100

  • Activity 92
  • Release rhythm 43
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 2229
  • days_rel: 166
  • days_push: 51
  • n_releases_24m: 1

Full methodology

Adoption not part of the score

16108 stars · 3478 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

FinRL is the first open-source deep reinforcement learning framework for financial markets, providing end-to-end pipelines to build, train, and backtest trading agents. It includes Gym-style market environments (FinRL-Meta) and tutorials, with a newer production-oriented FinRL-X stack for live trading.

Use cases

  • train deep RL agents to trade stocks
  • backtest algorithmic trading strategies
  • build gym-style financial market environments
  • research multi-agent reinforcement learning for finance
  • benchmark DRL algorithms on trading tasks
  • learn quantitative finance with reinforcement learning

When to choose

  • you want an open-source RL framework tailored to financial trading
  • you need reproducible market environments and benchmarks for DRL research
  • you are prototyping or teaching deep RL trading strategies in Python

When to avoid

  • you need a production live-trading system without additional hardening
  • you want a non-Python stack
  • you need guaranteed profitable trading rather than a research tool

Facets

framework · maturity active

machine-learning reinforcement-learning simulation trading data-science fintech machine-learning reinforcement-learning data-science python cross-platform deep-reinforcement-learning quantitative-trading trading-agents backtesting openai-gym finance fintech stock-trading pytorch tensorflow algorithmic-trading

5 sources

Member repositories

For agents

markdown · JSON · MCP: product_card(name="AI4Finance-Foundation/FinRL")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem