FinRL is an open-source deep reinforcement learning platform for quantitative finance. It packages market environments, DRL agents, backtesting, and deployment tooling so researchers and quants can train trading policies from data to live agents.
FinRL is open source and distributed via GitHub and PyPI; the AI4Finance Foundation site promotes free open-source libraries.
API access
Documentation and GitHub describe Python APIs for training and deploying FinRL agents rather than a hosted SaaS API product.
Is FinRL right for you?
A good fit for
Quant researchers, ML engineers, and finance developers building reinforcement-learning trading workflows.
Before you choose
FinRL is a framework you run yourself; the finrl.ai landing page is client-rendered and does not publish hosted monthly subscription tiers.
Reinforcement learning for quant finance
FinRL markets an open-source path from market data to live trading agents with environments, state-of-the-art DRL agents, and backtesting in one framework.
What it can do
Features & capabilities
Unknown is different from unavailable. Each fact carries its own evidence.
Capability
Value
Evidence
Checked
Open-source DRL
finrl.ai meta description describes FinRL as the leading open-source platform for deep reinforcement learning in quantitative trading.
Facts sourced
2026-10-04
Ecosystem
AI4Finance Foundation homepage highlights FinRL as the first open-source framework for financial reinforcement learning alongside FinGPT.
Facts sourced
2026-10-04
Distribution
GitHub README badges link to PyPI finrl packages and Read the Docs documentation for the project.
Facts sourced
2026-10-04
Understand the total cost
FinRL pricing & plans
Free
Free
FinRL is open source and distributed via GitHub and PyPI; the AI4Finance Foundation site promotes free open-source libraries.
Access
FinRL is open source and distributed via GitHub and PyPI; the AI4Finance Foundation site promotes free open-source libraries.
FinRL is an open-source deep reinforcement learning platform for quantitative finance. It packages market environments, DRL agents, backtesting, and deployment tooling so researchers and quants can train trading policies from data to live agents.
Does FinRL have a free plan?
FinRL is open source and distributed via GitHub and PyPI; the AI4Finance Foundation site promotes free open-source libraries.. This record lists ongoing free access; check the plan limits before starting.
How much does FinRL cost?
No paid monthly price is listed; this record treats the product as free to start. See the plan cards for entitlements, billing commitments and seat minimums.
Can I use FinRL through an API?
Documentation and GitHub describe Python APIs for training and deploying FinRL agents rather than a hosted SaaS API product.. API access and subscription access may have different terms; consult the linked sources.
What should I check before choosing it?
FinRL is a framework you run yourself; the finrl.ai landing page is client-rendered and does not publish hosted monthly subscription tiers.
Price history
No retained pricing changes yet. A current price alone does not establish a historical trend.