EdotEnv: Teaching LLMs to Trade with Real Market Data
Launch HN: EdotEnv (YC S26) – Quant Trading RL Envs to Teach LLMs Research
EdotEnv (YC S26) builds reinforcement learning environments from real market data to train AI agents in quantitative trading. Unlike static benchmarks that saturate, markets are non-saturating and self-improving, offering a continuously harder challenge. Agents use professional tools and Bash to develop profitable strategies, learning long-horizon planning under adversarial noise.
Static worlds produce static intelligence.
- dataviz1000
You guys might want to look at Alphadidatic [0] and it might be worth your time to see if that model published 5 months ago still generalizes. Also, all the prompts are tuned for Claude 4.6 and I needed to throwout or rewrite all my agents, prompts, skills for Claude 5 which fortunately seems like it handles recursive self-improving agents natively.
I can't justify spending $1k - $2k a month for real time options data and compute for what is in my 401k. I guess the question I have is would your tool help me trade these strategies and more important test them on a few hundred a month?
- jfrbfbreudh
This is very cool, but who is the ideal customer here? I used to work at one of the top tier shops and we had multiple teams whose entire responsibility was building and maintaining our simulation environments.
- cromwellian
I'm skeptical frontier LLMs can actually do well (e.g. alpha 5%+) without fine-tuning, especially on historical market data. Presumably you support fine-tuned models?
- hmokiguess
One thing I always think about whenever someone talks about solving investment is "and then what?"
Say there's a crystal ball, wouldn't everyone use such crystal ball? Wouldn't crystal ball become illegal? Wouldn't crystal ball nullify the effects of things?
What am I missing, can someone from this field educate me on how this stuff scales?
- ak_111
if the data is not synthetic, how do you ensure that the LLM hasn't learnt about this data for example from training on the Financial Times.