@DrNHJ DrNHJ

Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY. · Analyst brief as of 2026-06-22.

DrNHJ is overwhelmingly focused on AI infrastructure bottlenecks, especially MU/SNDK memory scarcity, optical interconnect constraints across LITE/COHR/AAOI/MRVL, and data-center power/grid capacity. The distinctive read is that AI demand is pushing multiple hardware layers into structural shortage, with memory and storage treated as the cleanest upside. Late-week posts kept adding confirmatory data on memory pricing, export growth, analyst upgrades, and AI compute demand rather than showing a clear flip.

Conviction is concentrated in AI bottleneck beneficiaries: MU and SNDK for memory/storage, LITE/COHR/AAOI for optical constraints, and VRT/BE/GEV for power-grid capacity. The flow intensifies around memory late in the window, with repeated analyst upgrades, pricing data, export data, and Apple cost-pressure headlines reinforcing the shortage thesis. No CALL_DIRECTIONAL or POSITION_DISCLOSURE signals appeared, so there are no explicit adds, trims, exits, or owned positions to report.

Grade is our human read-worthiness rating; trader score is a rolling 20-bet hit-rate/alpha composite — different things, often disagreeing. “Since then” is direction-unaware in the table; the summary line above adjusts for which way they leaned.