Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research

edotenv.com · 3 weeks ago · 13

EdotEnv, a Y Combinator S26 startup, created reinforcement learning environments based on quantitative trading workflows to benchmark and train LLMs on iterative research tasks. The environments use real market data and require agents to build predictive features, design portfolios, and backtest strategies across multiple steps with immediate, verifiable rewards. The startup plans to sell access to these continuously improving environments to AI labs and enterprises interested in training agents for ML modeling, long-horizon planning, and continual learning capabilities.