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.
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.
We used OpenAI's latest flagship reasoning model, o3-mini, paired with their newest product, Deep Research, to identify the most investable mid-cap stock in America. We tasked OpenAI's o3-mini with finding the highest-potential mid-cap stock.
We gave OpenAI's latest flagship model, GPT-o1-preview, data on 3,704 U.S. stocks and asked it to select the best one for a one-year investment. We used OpenAI's GPT-o1 Preview model to generate the latest stock recommendation for The GPT Investor. In this essay, we will outline the technology, methodology, and result of this process.
We generated our latest stock recommendation using OpenAI's new flagship model, GPT-4o. Stock Pick from The GPT Investor
We asked GPT-4 to describe the most investable stock in NYSE and Nasdaq Stock recommendation from The GPT Investor.
June 2023 update: Best and worst performing stocks recommended by GPT Investors A deep-dive into the stocks recommended by GPT Investors in May and June 2023.