EdotEnv
About
Builds multi-step RL environments from financial market data for evaluation and post-training of research agents.
What They Offer
Commercial or operational services this company provides.
Products & Public Artifacts
Multi-step RL environments built from real historical market data, used to evaluate and post-train research agents on quantitative trading and forecasting tasks.
Visit artifact →Benchmark measuring whether models can maintain and revise trading strategies over hundreds of sequential decisions in a simulated 2-year cryptocurrency market.
Visit artifact →Benchmark measuring whether agents can independently run an end-to-end quantitative research process on low signal-to-noise cryptocurrency market data.
Visit artifact →Technical Capabilities
Only publicly documented capabilities are shown. Absence does not imply the capability is unavailable.
Focus Areas
Domains
Leadership
Previously designed LLM inference systems at Etched and built automated high-frequency options trading strategies at TransMarket Group; also studied at ETH Zürich.
Previously worked as a quant at G-Research; studied applied mathematics at ETH Zürich.