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.
Topic
Equity Research
A collection of 12 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 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 used Anthropic's flagship model, Claude 3.5 Sonnet, to identify an investment opportunity that could outperform the market over a one-year period.
Stock Pick from The GPT Investor
We generated our latest stock recommendation using OpenAI's new flagship model, GPT-4o.
Stock Pick from The GPT Investor
1st Anniversary Update: The GPT Investor
Summary of Our Performance Over the Last Year.
The AI Gold Rush: NVIDIA's Winning Streak
A Spotlight on $NVDA's Strategic Positioning in a Market Hungry for GPUs and Computation Power.
We asked GPT-4 to describe the most investable stock in NYSE and Nasdaq
Stock recommendation from The GPT Investor.
We used BabyElf AGI and GPT-4 to generate stock recommendations
Stock recommendations from the GPT Investor.