FinRL Meta
Basic Information
FinRL-Meta provides dynamic datasets and market environments designed to be used with the FinRL ecosystem. The repository focuses on supplying standardized, time-series financial datasets and simulated market scenarios so researchers and practitioners can train, validate, and benchmark reinforcement learning agents for trading and portfolio management. It centralizes data preparation and environment definitions to reduce repetitive setup work and to promote reproducible experiments in financial machine learning. The project targets users of FinRL who need ready-made or configurable market data streams and environment interfaces to connect observational data with FinRL learning pipelines. The README and repository signals emphasize dynamic dataset generation and the construction of market environments rather than standalone trading services.
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