FinRL Lab: Hosted FinRL workflow for research

Hi everyone 👋 I built FinRL Lab to make FinRL workflows easier to launch, compare, and stage from one hosted workspace. Financial reinforcement learning workflows can be powerful, but they often require stitching together datasets, market environments, benchmark presets, backtesting tools, risk settings, and deployment paths before a researcher can even start testing ideas. FinRL Lab provides a clearer cockpit for that process. Users can choose a stack, configure the market and risk posture, select benchmark presets, run backtesting-oriented workflows, and prepare broker handoff paths in a more organized way. It is designed for quantitative researchers, AI builders, financial engineers, students, and teams exploring reinforcement learning for financial research. The goal is not to execute trades or replace human judgment. FinRL Lab focuses on research workflows, reproducible experiments, backtesting, staging, and workflow preparation. I’d love feedback from anyone working on quantitative research, FinRL, reinforcement learning, backtesting, trading research infrastructure, or AI finance workflows.