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It is both. We can use the same setup for both RL and Benchmarking.
Is it STRICTLY for LLMs & quant research or does it do generic trading simulation?
For now it is only facing LLM/Agent.
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.
>Quant Trading RL Envs to Teach LLMs Research Oh my Current Thing. This this enough current things?
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?
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 dat…
I am asking because I see the agents can do websearch, so how is Alphadidatic preventing the agents from just looking at the asset's performances and cheat?
Back to our product. It is not 2C yet. So we are building the RL Envrionments for finetuning LLM, not providing a personal trading agent. However we can also build a professional trading harness using the setup we have. If you are interested, let's keep in touch: michael.zhang@edotenv.com
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?
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What's the margins that makes this worth chasing then? That's the part I maybe don't quite understand, why would you pour a lot of money and resources into something that is stochastic at best?
Quant trading is an extremely high margin business itself. Quant shops are printing billions and have on average much higher profits per employee than tech companies. So it is definitely a business worth doing. On the other hand, you could also view quant research as some very hard research problems, so training LLMs on these problems could also enhance their general research capabilities.
How would you sell to them, you would deliver what? Faster time to decision? Wouldn't quants be your competition, given their work is building tools like this one?