Author

@BCsickel BCsickel

Mechanistic AI supply-chain bull mapping memory and semicap chokepoints globally

Builds long-form, ticker-specific bullish theses identifying

trader score
-2.25
hit rate
30%
mean α
-1.73%
signals 14d
5

Grade = how their written analysis reads (A best). Trader score = how their last-20 timestamped calls performed vs SPY.

Their picks, scored

Across their last 20 scored bets: 30% hit rate, -1.73% mean alpha, trader score -2.25. Their last-14d mentions, direction-adjusted, have moved +2.5% since posting (mean over 1 mentions with price data).

Recent signals5receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-08-28OSCR@BCsickel+0.35Directs the recipient to consider three healthcare-related stocks.
2026-08-28ABCL@BCsickel+0.35Directs the recipient to consider three healthcare-related stocks.
2026-08-28TEM@BCsickel+0.35Directs the recipient to consider three healthcare-related stocks.
2026-08-24005930.KS@BCsickel+0.55Argues AI memory is becoming co-designed compute architecture, structurally shrinking the cyclical commodity segment.·
2026-08-24MU@BCsickel+0.55Argues AI memory is becoming co-designed compute architecture, structurally shrinking the cyclical commodity segment.+2.5%

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.