Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research
Summary
EdotEnv presents market-derived reinforcement learning environments to train agents on long-horizon, nonstationary trading tasks using real market data. The project emphasizes non-saturating benchmarks, partial information, and horizon-aware decision making, aiming to advance AI research and LLM-driven trading strategies.