đź§  AI Infrastructure and Platform Power

  • $META is not just shipping another research model. TRIBE v2 points to a proprietary map of human attention and perception, built from 500+ hours of fMRI data across 700+ people. That kind of dataset can compound into a serious moat around multimodal personalization, ranking, and ad targeting. 3
  • Anthropic’s Claude Mythos looks like more than a routine model upgrade. If it is being rolled out cautiously because of meaningful cybersecurity risk and high inference cost, that signals frontier models are crossing into capability zones where downstream sectors may need to reprice risk. The selloff in $CRWD -7%, $PANW -5%, $OKTA -5%, $ZS -4%, $RBRK -4%, and $FTNT -4% reflects that shift rather than random tape noise. 15
  • $META funding seven new natural gas plants with $ETR to lock in 5.2 gigawatts for the Hyperion data center is a tell. AI scale is now power-constrained, and hyperscaler advantage is increasingly tied to securing dedicated energy infrastructure, not just chips and models. 21

đź’ł SoFi Credit Quality and Earnings Setup

  • $SOFI landing a new $3.6 billion loan platform partnership with a global bank, a financial services group, and a global top-five private asset manager reads as institutional validation of its underwriting engine. Willingness to put their own balance sheets behind SoFi-originated loans is effectively a high-grade risk-control endorsement and undercuts the short thesis around credit quality. 12
  • $SOFI earnings power appears to be tracking above guide. The year-end EPS guide was $0.60, while updated figures suggest at least $0.67 already. The setup gets more interesting if past conservatism holds: guidance has historically been beaten by roughly 25% on a conservative basis and 40% on average, leaving room for further upward revision. 4

đź§© Memory Supply Tightness

  • #MU sits in a favorable supply-demand squeeze. If the top three memory makers are not adding meaningful capacity before 2028, while memory demand ramps sharply into 2030, the market is heading toward structural tightness rather than a short-cycle rebound. Jensen’s call for annual orders above $1 trillion only sharpens the bottleneck question: the industry may not have enough memory supply ready for the AI buildout. 14

📉 Macro Positioning and Market Structure

  • Long-duration bonds are seeing capitulation-style flows. The note that long-term bonds posted the second largest ever outflow and the biggest since March 2020 matters because it lines up with a view that policymakers may be forced into “policy panic” to avoid recession. In that setup, yield curve steepeners become the cleaner macro expression than outright duration chasing. 2
  • The recent drawdown behavior argues against treating a break of the 200dma as automatic trend death. Since 2018, the market has seen four peak-to-intraday-trough drawdowns of 20% or greater — 2018, 2020, 2022, 2025 — and each one initially sliced below the 200dma before reclaiming it on a closing basis. That does not guarantee a full V-shape, but it does frame undercut-and-reclaim as a recurring washout pattern rather than a one-off anomaly. 19
  • $GLD +2% while it had been moving in lockstep with equities through March suggests cross-asset correlation may be cracking. If gold starts decoupling as stocks wobble, the tape may be shifting from generic risk-on/risk-off to a more defensive, macro-stress regime. 18

🛢️ Energy and Geopolitical Shock Transmission

  • Energy shock risk is broadening fast. If Russian producers are warning about force majeure and 40% of Russia’s oil export capacity is at risk from Baltic port disruptions, Asia’s energy squeeze can intensify even without a single clean headline catalyst. This is the kind of supply-side stress that keeps crude bid and inflation pressure sticky. 23