Author

@BleedingEdgeAM BleedingEdgeAM

Rigorous SaaS analyst and AU/NZ housing-policy bear who reasons from numbers

Posts original fundamental analysis of software/SaaS names a

trader score
+0.90
hit rate
83%
mean α
+1.60%
signals 14d
3

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 6 scored bets: 83% hit rate, +1.60% mean alpha, trader score +0.90. Their last-14d mentions, direction-adjusted, have moved -1.4% since posting (mean over 1 mentions with price data).

Recent signals3receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-10-14·@BleedingEdgeAM·Argues increased Australian state control would broadly impoverish the public.·
2026-10-14TSLA@BleedingEdgeAM-0.50Reports a dangerous Tesla automated-driving error involving a red turn arrow.+1.4%
2026-10-07·@BleedingEdgeAM·Argues lower but better-targeted migration and productivity focus could improve per-capita growth.·

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.