We applied our most successful capital markets information arbitrage methodology using OpenAI’s flagship model, GPT-5.4
Finding information asymmetry in the capital markets using GPT-5.4
Ishtiaq Rahman
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.
Recursive prompt engineering: how Gemini 3.0 Pro refined and executed its stock-picking playbook
We made Gemini 3.0 pro re-engineer its own deep research workflow using results from the last run.
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?
The Alpha-Divergence Protocol: We let Gemini-3 Pro design an autonomous stock research workflow
How we moved beyond basic prompts to build a forensic AI workflow that exploits the gap between headlines and reality, and the single high-conviction trade it uncovered.
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 reran our most successful investment methodology using Gemini 3 Pro.
In 2023 we used GPT-4 to design a “most investable” hypothetical stock and found a real-world match that returned 117% vs 15.9% for the S&P 500. Here we rerun that process with Gemini 3 Pro and share the new thesis it surfaces.
OpenAI vs Google: One methodology, two flagship AI models, and their best stock picks
We used GPT-5.1 and Gemini-3 Pro to run an autonomous Deep Value research workflow on U.S. equities.
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.