Event-driven equity underwriting with Gemini 3.1 Pro: YETI Holdings ($YETI)
A near-term setup built on tariff refund mechanics, obsolete cost assumptions, and a structurally improved sourcing base that could re-rate the stock by June 30.
Topic
Deep Research
A collection of 9 issues
Gemini 3.1 Pro’s Green Plains Inc. Thesis (NASDAQ: $GPRE)
A bet that 45Z tax credit monetization, carbon capture, and stronger E15 demand can re-rate Green Plains far above cyclical ethanol multiples.
GPT-5.4’s event-driven case for Enviri Corp ($NVRI)
A clear look at why $NVRI stood out as a buyable special situations trade
What GPT-5.4 saw in $HLIT that the market may be missing
Using OpenAI's GPT-5.4 to uncover a near-term re-rating setup
The Alpha-Divergence Protocol v2.0: Uncovering the $CPRX information asymmetry with Gemini 3.1 Pro.
Inside the mathematical disconnect between CPRX’s distressed multiple, its $709M cash fortress, and the verified hyper-growth of its orphan drug portfolio.
The unpriced catalyst: A Gemini 3.1 Pro-driven case for Centrus Energy ($LEU)
How we used our Alpha-Divergence Protocol to uncover a market disconnect between the Russian uranium ban and a guaranteed commercial backlog.
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
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?