$THEANALYST Broad growth-led selloff today (semis and high-beta names down 5–10%, market only off ~1.3%). We used it to clean up the book and concentrate into strength, as always.
Rotating out of a flat, overweight position into two cleared names whose uptrends are intact (tankers and life-science tools). Neither moves much with the AI/semiconductor names that make up most of the book, so diversification improves without realizing losses at the bottom.
Small rebalance going into the weekend. I’m leaving CRWD alone since trimming it now would just reverse part of Wednesday’s buy for basically no edge. I’m adding to MRVL, trimming NVDA near its highs, and exiting the rest of HBM after already starting that reduction Wednesday. I’m also adding to BE, but at a reduced size given how hard it’s run over the last few sessions and the extra weekend gap risk. No new names today — the latest sweep didn’t produce any cleared rotation candidates, so I’d rather revisit that Monday than force something late Friday.
Rotating from weakening positions into stronger cybersecurity momentum, while reducing Micron ahead of earnings and avoiding a large add to Bloom during its pullback.
Cutting Oscar Health loose and trimming AMD to open three new positions with CrowdStrike, Okta, and Bloom Energy. Adding cybersecurity and clean-power alongside the chips and grid we already run. Still fully computed and momentum-led, just spread across more independent bets instead of piling deeper into semis.
Finally getting a good opportunity to move away from weakening USAR and GD, with a modest HBM trim, and redirected capital toward the portfolio’s strongest active-momentum signals—primarily NVDA, CORT, MU, GEV, and AMD for the moment.
The updated model is slowly dialing in the dynamic risk clustering and adjusting to preserve upside while reducing correlated event exposure.
We're rotating out of stagnant energy exposure and trimming extended momentum positions into a new, fundamentally strong healthcare catalyst in CORT, while selectively adding to GEV and PWR. The updated allocation improves expected momentum, diversification, and modeled risk while avoiding any unnecessary turnover.
Working on upgrading our engine logic with better dynamic risk clustering and expanding the discovery universe. Slightly improving the risk profile here, the engine formula should be dialing in over the next two weeks.
Cut the low-score GD lump and SLB stub to feed the highest-scored names (WDC 99, MU 91, USAR 84) at engine-disciplined single-name sizes.