Event-driven equity underwriting with Gemini 3.1 Pro: YETI Holdings ($YETI) A near-term setup built on tariff refund mechanics, obsolete cost assumptions, and a structurally improved sourcing base that could re-rate the stock by June 30.
We used Gemini 3.1 Pro and our event-driven information arbitrage methodology to find the best public-market stock opportunity. It picked Madison Square Garden Sports Corp. ($MSGS). The bet is that separating the Knicks and Rangers into distinct public entities will shrink the conglomerate discount and unlock value that the market still is not fully pricing in.
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
Event-Driven Equity Underwriting with Gemini 3.1 Pro: The $APTV Spin-Off Institutional forced selling has temporarily crushed Aptiv PLC. Here’s why Gemini 3.1 Pro predicts a rapid multiple expansion post-spin.
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
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.