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Very interesting. I am curious: Is the "test" part actual live trading, or is it also a backtest? I am asking because I see the agents can do websearch, so how is Alphadidatic prev…

We are selling to frontier labs, e.g. OAI and Ant, and fintech companies that are trying to build agentic trading system but do not have those internal quant setups, e.g. Coinbase,…

It is not only quant research. We also have live trading: https://edotenv.com/blog/long-horizon-planning For now it is only facing LLM/Agent.

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 defi…

It is the raw trace, so it is the most complete records but hard for human to read. We showcased some features they found in this research blog post: https://edotenv.com/blog/alpha…

It is both. We can use the same setup for both RL and Benchmarking.

We do a 2 step anonymisation: 1. Mask all symbols, timestamps etc. So the agents cannot infer the assets/time periods. 2. Mathematically transform numerical values and returns. E.g…

Here is an example rollout trace with gpt 5.6 luna. Checkout if you are interested what kind alphas the agent found XD https://hub.harborframework.com/jobs/af0299f9-a3bb-44ea-8ced.…

We are Rui and Michael and we’re building EdotEnv ( https://edotenv.com ): self-improving RL environments from Quant Trading workflows. With all the benchmaxxing around, evals satu…

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