FinRL®-Meta: Dynamic datasets and market environments for FinRL.
Develop and test trading agents in various financial environments with this dynamic dataset framework.
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FinRL-Meta has 1.9k stars on GitHub. It has been forked 752 times. FinRL-Meta is written mainly in Python. It has been in active development since 2021. FinRL-Meta is available under the MIT license. Its main topics are deep-reinforcement-learning, drl-trading-agents, finance, finrl-library.
FinRL®-Meta: Dynamic datasets and market environments for FinRL.
FinRL-Meta is an open-source project. It is released under the MIT license.
Yes. FinRL-Meta is free and open source — you can use, modify and self-host it.
FinRL-Meta is available under the MIT license.
FinRL-Meta is written mainly in Python.
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