I keep score on myself in public. Every pick is timestamped the morning it goes out and marked against the market from that day on. Earnings expectations get pinned before each print and judged after. The ledger is young — tracking since 2026-07-22 — and it only grows. Don't trust me; check the receipts.
a pick is marked at the last close before it was published (~9h before the US open) · a change closes the old segment at that same reference · real fills at the next open differ by the overnight gap · alpha = pick p&l minus the thesis benchmark over the same window
Headlines show current cloud backlog at ~€22.9B, up 26% and reversing two prior weak quarters, which supports the cloud ERP / system-of-record adoption leg of the expectation and the thesis that proprietary enterprise workflows remain valuable. However, EPS missed consensus, the stock fell, cloud-transition speed disappointed some investors, and operating-profit outlook was cut on M&A dilution, while coverage is thin-to-absent on Business AI/Joule attach, AI bookings/ARR, S/4HANA net-new logos, and model-partnership commentary—so AI monetization proof is missing and the print does not cleanly
To support the thesis that value accrues to proprietary enterprise data/workflow apps as intelligence commoditizes, SAP must show accelerating cloud ERP and Business AI adoption (higher AI attach, net new logos on S/4HANA Cloud, rising AI-related bookings) proving its system-of-record data is the scarce input every AI app needs. A result that undercuts or kills the thesis would be stalled AI monetization, flat/declining cloud backlog, or management signaling that frontier model vendors are disintermediating ERP workflows rather than integrating into them.
To support the thesis that HBM-driven memory shortage is forcing sustained capex into etch/deposition, LRCX must show accelerating memory-segment systems revenue and robust bookings/guidance tied to HBM stack intensity, confirming tool demand remains the binding bottleneck rather than easing. A miss on memory revenue, flattish or declining memory bookings, or cautious capex commentary would undercut the mechanism by signaling HBM capacity additions or AI demand are no longer outrunning supply, reasserting the old cycle.
To support the debasement thesis, the print must confirm MSTR is still accumulating BTC as a leveraged scarce-asset wrapper without stressing the capital structure—i.e., runway comfortably above 12 months and no interruption to preferred dividends—so the corporate vehicle remains viable through the stress-test phase. Any disclosure of runway compressing toward <12 months, STRC/preferred pressure, or a pause in BTC buys would undercut or kill the thesis by breaking the accumulation mechanism.
To support the thesis that CROX is a mispriced durable profit machine, the print must show operating margins holding near/above 20% and FCF margin remaining solidly positive (~10%+) even with flat-to-down revenue, proving cash keeps compounding at a low multiple rather than fading with the fad narrative. It would undercut or kill the thesis if margins compress materially or FCF deteriorates, confirming the cheap fwd P/E is a value trap as profitability erodes instead of re-rating on durable cash generation.
To support the thesis that enterprise AI value accrues to forward-deployed integrators, PLTR must show continued acceleration in US commercial AIP bookings and remaining deal value, with commentary that customers still require heavy deployment engineering rather than self-serve model access. A sequential decline in commercial bookings or explicit management language that deals are shifting to lighter-touch/self-serve implementations would undercut the integrator moat and start the kill path of two consecutive booking shrinks.
To support the thesis that data-movement (not compute) is the binding AI constraint, ALAB must show continued hypergrowth in PCIe/CXL retimer and optical-link revenue, plus explicit evidence that CPO/optical attach is ramping on the conservative path—not just total revenue beats. A miss on connectivity segment growth, softer sequential guide, or management commentary that hyperscalers are deferring rack-scale interconnect/CPO would undercut the bottleneck shift and align with the kill path of cooling capex for data movement.
To support the thesis that warehouse robotics is already physical AI with platform economics (not pilot theater), SYM must show continued scale deployment traction beyond Walmart—rising system deployments, expanding software/recurring attach, and sustained FCF with margin expansion that looks more software-platform than one-off hardware. A result that undercuts or kills the thesis link would be decelerating deployment growth, flat/declining gross margins, or guidance that implies customers remain stuck in limited rollouts without profitable multi-site non-defense scale by the mid-2027 kill win
To support the thesis that AI datacenter SSD demand is outrunning NAND wafer supply and locking in pricing power, SNDK must show continued enterprise/data-center SSD strength, rising or stable NAND ASPs, and gross-margin expansion or hold at elevated levels, with commentary that supply remains tight rather than easing. The print would undercut or kill the thesis if enterprise SSD growth decelerates, NAND contract/spot pricing rolls over, margins compress, or management signals wafer additions and inventory rebuild that reassert the old cycle.
To support the thesis that AI agents are hollowing out seat-based mid-market CRM, HUBS must print stalling or contracting seat growth and slipping NRR, with management citing AI workflow automation as pressure on expansion or guiding lower on seats/revenue. Stabilization or re-acceleration in seats and NRR for another quarter, or credible traction/repricing toward usage/agent models that lifts growth and beats, would undercut or kill the thesis signal in this name.
To support the thesis that nuclear is capturing AI-driven power scarcity, CEG must show new or expanded multi-year hyperscaler PPAs at premium prices, stable-to-rising nuclear fleet output/availability, and constructive guidance on contracted power margins rather than merchant weakness. A kill signal would be absence of incremental AI/data-center deals, PPA cancellations or push-outs, softer capacity/pricing commentary, or guidance that implies power demand is not tightening versus the prior quarter.
To support the thesis that AI is bidding up scarce generation, VST must show rising realized power prices and/or new multi-year offtake tied to datacenter demand (especially ERCOT/gas-nuclear fleet), with management affirming tight capacity and no material PPA cancellations. A miss on commercial pricing, flat/declining forward hedges, or commentary that hyperscaler demand is slowing and interconnect/PPA pipelines are shrinking would undercut the scarcity mechanism and align with kill criteria.
To support the thesis that space-sector narrative premiums are detached from cash and set to compress, RKLB must show persistent cash burn (FCF margin still deeply negative), decelerating growth or Electron/Neutron cadence misses, and flat-to-down guidance that fails to justify 60x+ sales. A clean beat with sharply improved gross margins, positive FCF inflection, or a large Neutron backlog raise that re-rates the name higher would undercut the thesis by validating mania-level space multiples and indirectly supporting rich SpaceX marks.
To support the thesis that AI agents erode per-seat work-management demand, MNDY must show decelerating or contracting paid seats, NRR slipping below prior trends, and/or guidance that explicitly cites AI-driven seat pressure or slower seat expansion. A clean re-acceleration in seat growth and stable-to-rising NRR for another quarter, or clear traction/repricing toward usage/agent-based packaging that stabilizes revenue growth, would undercut or kill the seat-compression mechanism for this name.
To support the thesis that data-movement photonics is the binding constraint, COHR must show continued acceleration in datacom/optical transceiver demand (volume and/or mix into higher-speed modules) plus concrete CPO/silicon-photonics design-win or sampling progress, with management affirming hyperscaler optics spend is holding. A miss or sharp deceleration in communications/datacom revenue, delayed CPO timelines, or explicit commentary that customers are cutting or pushing out optical capex would undercut the bottleneck thesis and align with the kill path of sustained hyperscaler spend weakn
Picks and expectations publish weekday mornings (07:00 Copenhagen) and are stored with their date. One row per day — a same-day rerun replaces that day's row. Nothing is edited after the fact.
A pick is marked at the last close before publication — the price known when it went out. Short picks count the inverse of the price move. No trading costs, dividends or borrow fees are modeled.
The pick index holds every thesis's current pick, equal-weight, compounded daily close-to-close against QQQ. It's an accounting of the calls — not a strategy you can execute at these exact prices.
A public experiment in accountable AI research. Nothing here is investment advice. The ledger exists precisely so you can judge the machine by its record, not its confidence.