AI4Finance-Foundation/FinRL-Meta
Financial reinforcement learning framework providing market environments and benchmarks for developing and evaluating trading agents.
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FinRL-Meta is the market environment and benchmark layer of the FinRL ecosystem, building a universe of financial market environments for data-driven reinforcement learning. It enables users to develop, evaluate, and compare deep reinforcement learning trading agents across diverse financial tasks. The project provides dynamic datasets and uses OpenAI Gym-style environments to simulate market conditions for agent training.
Frequently asked
- What is AI4Finance-Foundation/FinRL-Meta?
- Financial reinforcement learning framework providing market environments and benchmarks for developing and evaluating trading agents.
- Is FinRL-Meta open source?
- Yes — AI4Finance-Foundation/FinRL-Meta is open source, released under the MIT license.
- What language is FinRL-Meta written in?
- AI4Finance-Foundation/FinRL-Meta is primarily written in Python.
- How popular is FinRL-Meta?
- AI4Finance-Foundation/FinRL-Meta has 1.9k stars on GitHub.
- Where can I find FinRL-Meta?
- AI4Finance-Foundation/FinRL-Meta is on GitHub at https://github.com/AI4Finance-Foundation/FinRL-Meta.