Exploiting information asymmetry in the stock market with OpenAI’s flagship model, GPT-5.2
A breakdown of our recursive strategy to uncover data divergences in financial filings, including the prompt set and a new stock recommendation.
Topic
GPT-5.2
A collection of 3 issues
Re-running one of our best stock-picking workflows: using GPT-5.2 to spot information asymmetry in public markets
Can GPT-5.2 find the "hidden" edge in public data again?
We let GPT-5.2 design its own stock-picking methodology.
We let GPT-5.2 design a 3-prompt workflow that hunts overlooked public signals, validates catalysts in filings, links macro/micro tailwinds, and picks a single 12-month stock using scenario-weighted expected returns, landing on $MP.