Track Record

Every prediction on this site is published before the number exists, then graded in public against the first print. This page is the whole record — hits, misses, and all.

of actuals landed inside our stated range

We aim for ~80%, not 100% — a forecaster who’s never wrong is using bands too wide to mean anything.

of our status calls landed in the right band

On the badge-driving indicators, how often our forecast implied the same status — ok, watch, elevated, or alert — that the actual print did. Market prices carry no badge and are excluded. Our edge over a naive “same as last time” guess is broken out by category below — all recomputable from the public ledger.

How this works

Each week, every indicator’s full history is backtested: we stand at hundreds of past dates, predict the next print using only data available then, and measure the miss. Whichever simple statistical model wins — and only if it beats the naive “same as last time” guess by a real margin — becomes that indicator’s forecaster. The ranges we publish are the ranges those backtests earned. Every model is explainable in one sentence; there is no black box.

Predictions are graded against the number as first published, then frozen — later data revisions are footnoted, never regraded, and a graded entry never changes. Because the ledger lives in this site’s public git history, the timestamps are independently verifiable: every prediction is committed before its print exists.

We forecast market prices too — the scoreboard, currencies, commodities — but hold them to a different standard. Next week’s price move is the one thing honest models can’t call, so for these we publish only the range history suggests around today’s level, never a directional bet, and we keep them out of the skill score above — beating a coin flip isn’t an edge. The bands are still graded, so you can see how honest they are. None of it is investment advice.

Predictions are derived mechanically from public data and are not investment advice. The full ledger lives in this site’s public repository under data/predictions/.