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Theses · Playbooks · Weekly recaps · Member discussion
- thesis5/26/2026
Why we're still long NVDA into Q3
Cap-ex cycle isn't peaking. Here's how we're sizing.
Read → - playbook5/22/2026
Iron condor playbook for range-bound TSLA
How we structure premium collection when IV is bid but realized is dead.
Read → - thesis5/20/2026
Finding the Next Nvidia: Why We Went Heavy on AI Memory
Our base case: AI demand keeps compounding. The question isn't whether to be long AI — it's where the next dollar of margin accrues. In mid-2025, the answer was memory.
Read → - recap5/19/2026
Weekly review: +4.1% on the book
Two winners closed, one open hedge working.
Read → - thesis4/10/2026
Catching Palantir: When the Numbers Caught the Narrative
Palantir was priced as a story stock long after it had become an earnings story. We sized in before the commercial inflection was consensus.
Read → - thesis3/5/2026
Tesla: Sizing a Convex Bet Into the Re-rating
Tesla doesn't trade on next quarter's deliveries — it trades on the option value of what it becomes. We size that optionality when the market forgets it exists.
Read → - thesis2/10/2026
Gold as a Convex Hedge in a Fractured Macro
We are aggressive, not reckless. In specific political and monetary regimes, gold is the cheap convexity that lets the book stay heavy elsewhere.
Read → - thesis1/15/2026
How We Saw Nvidia Early: Read the Architecture, Not the Hype
We were long Nvidia before 'AI' was the whole market's trade — because we understood the architecture and the moat, not because we chased a chart.
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