Prior Moves
Investor brief
JUL 2026 · priormoves.com/pitch
A research publication that predicts what the world’s best investors will buy next, about six weeks before their 13F makes it public.
Readers mirror 44 legendary investors (Buffett, Burry, Ackman, Klarman…) by exporting a copy sheet, target weights plus a dollar split, and placing the trades at their own broker. We never execute and never hold money: a publisher, not an adviser.
Millions of retail investors already copy famous portfolios, from 13F snapshots that are up to 45 days stale. Copy-trading apps polish that stale mirror. Nobody publishes the next filing.
One model per investor, trained on their filing history plus ~250 public signals (insider buys, congressional trades, activist stakes, options flow, news tone), predicts their next new position, published as a probability with an as-of date, rolled into one 0–100 PriorScore across 1,200+ US stocks.
Top-15 basket vs S&P 500, 35 backtested quarters, net of costs: +2.2 pts/q, beat the index 23/35, t ≈ 1.31. The CI includes zero and we publish that sentence everywhere it appears.
Retail copy-investing is mainstream (Autopilot-class apps prove demand); disclosure data and alt-signals are cheap and machine-readable; and post-hype, an anti-hype research brand is the open position in the market.
Free general-circulation research (publisher under Lowe v. SEC, no adviser registration), monetized by a paid weekly digest and partner licensing of scores to brokers and research platforms. We never touch customer funds.
Per-investor models compound with every filing season (data moat), and a published, graded calibration record compounds with every quarter (honesty moat). Both are slow to build and hard to fake, which is the point.