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
+1.22
hit rate
80%
mean α
+2.47%
signals 14d
9

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 5 scored bets: 80% hit rate, +2.47% mean alpha, trader score +1.22. Their last-14d mentions, direction-adjusted, have moved +2.0% since posting (mean over 6 mentions with price data).

Recent signals9receipts included
date (PT)tickerauthorsentwhat they saidsince thenreceipt
2026-07-01PLTR@BleedingEdgeAM+0.50Bullish framing on proprietary data and context tied to PLTR.+2.8%
2026-07-01GOOG@BleedingEdgeAM+0.25AI orchestration/platform thesis references Bedrock, Foundry and Vertex.-0.5%
2026-07-01AMZN@BleedingEdgeAM+0.25AI orchestration/platform thesis references Bedrock, Foundry and Vertex.+0.4%
2026-07-01MSFT@BleedingEdgeAM+0.25AI orchestration/platform thesis references Bedrock, Foundry and Vertex.+1.6%
2026-06-30·@BleedingEdgeAM·Warns a 30% pullback in Australian housing would be severe systemically.·
2026-06-25·@BleedingEdgeAM·Criticizes Australian tax hikes and productivity drag during per-capita recession.·
2026-06-25AAPL@BleedingEdgeAM+0.10Reports Apple hiked prices across products, with retailers not yet synced.+12.2%
2026-06-24TSLA@BleedingEdgeAM-0.10Says Tesla V13 driver assist is good but guesses v14 speed profiles may be a step backward.+4.8%
2026-06-24·@BleedingEdgeAM·Warns property at 13x income looks like a bubble with possible flow-on effects.·

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.