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Smart Money

Smart Money Watch

Anomaly screener for X posts from 12 curated accounts. A signal is flagged when a post's view count is statistically unusual versus that author's own 30-day baseline (engagement z-score).

Last updated: 4/10/2026, 12:00:00 AM · 1 signals

No signals match the current filters.

Bill Ackman
Bill Ackman @BillAckman activist 2d ago

DEMO ENTRY — Fannie Mae (FNMA) and Freddie Mac (FMCC) remain dramatically undervalued. We believe the equity could appreciate ~10x from here once the GSEs are released from conservatorship.

+6.40σ $FNMA $FMCC 👁 9.8M ♥ 41K ↻ 8.5K 💬 3.2K View on X →

Methodology

Each tracked account's tweet view counts over the trailing 30 days form a per-author baseline (mean & std-dev). A new post's "score" is its view count expressed as a z-score against that baseline, multiplied by a tier weight assigned to the author. Signals at ≥2σ are surfaced; ≥5σ indicates a true outlier. Scoring is engagement-only — there is no LLM classification.

Data sourced via authenticated browser scraping; updated whenever scripts/fetch_smart_money.py runs.

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