@Beth_Kindig Beth_Kindig

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.

Beth Kindig is focused almost entirely on AI compute infrastructure: Nvidia GPU demand, hyperscaler data-center buildouts, custom silicon, and HBM supply. Her distinctive read is mixed rather than one-way: bullish on compute capacity and memory suppliers, but alert to custom-chip substitution and rising financing needs. There are no explicit position adds, trims, or exits in this payload; the late-window flow adds Google/Anthropic and SK Hynix HBM4e datapoints.

No explicit adds, trims, exits, or position flips appear in the payload. The author’s attention is concentrated in AI infrastructure, with repeated bullish datapoints for NVDA-linked capacity, GOOG custom silicon and compute, and MU/HBM leverage, balanced by concern over custom-chip substitution and rising AI debt issuance. Pump-risk is limited by broad ticker dispersion, though NVDA is the largest recurring exposure across themes.

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.