Heat™ measures attention, not merit.
Most sites show you the market's state. Heat measures the market's behavior: a 0 to 100 score of how abnormal an asset's last 24 hours were versus its own recent pattern, with every alarm resolved into a public track record. Documented precisely enough to trust, vaguely enough that you can't clone it.
Sigma-1: self-relative anomaly detection
Heat is produced by Sigma-1, the first model in the Tickerz Sigma family. Two inputs per snapshot: 24-hour volume and absolute 24-hour move. Each is converted to a z-score against that asset's own trailing 30-day baseline, clamped at four sigma so a single insane print can't pin the scale, then combined in a volume-weighted blend and normalized to 0-100. The exact weights are proprietary; the design principle is not: a quiet asset waking up beats a loud asset doing what it always does. Assets get no score until 14 days of baseline exist, because a z-score on three days of data is an opinion.
Events open, cool, and resolve in public
Heat above 70 opens an event and freezes the price. Hysteresis closes it: heat must fall below a cooler band and stay there across consecutive readings, so one surge produces one event, not a dozen flickers. Every event then resolves at +24h, +7d, and +30d as the forward return from the frozen open price, computed from our own stored history so nothing can drift after the fact.
Want to see the mechanism on real history before the live record matures? Enter the Sandbox ↗
Falsifiable by design
Attention metrics are everywhere; accountable ones are not. Trending lists reshuffle and leave no trace of whether the trend paid. Every Heat alarm here becomes a permanent receipt, wins and losses alike, which means the model's value is checkable by anyone at any time. Attention frequently precedes drawdowns. The receipts page will show that without apology.
Heat means the same thing in both worlds
In streetwear, heat is the piece everyone wants: the drop that moves. In markets, heat is where money is crowding right now. Same word, same phenomenon, measured the same way: by how far behavior departs from baseline. Tickerz sits exactly on that overlap, a data product and a clothing label describing one thing: attention.
The desk behind the board
Tickerz is built by a small founding team out of NYU Stern, operating between New York and Miami, with backgrounds spanning equity research, financial consulting, data analytics, software engineering, and ecommerce. The shared conviction: market data should be rigorous underneath and effortless to read, presentation is a feature, and a published score should come with a record it can be held to. That is the desk standard, and it is the whole reason the receipts page exists.
Questions, challenges to the method, or partnership inquiries: support@tickerz.com or DM @tickerz on X.
What Heat is not
Not a prediction, not a buy signal, not an endorsement, not financial advice. Coverage is the top 100 crypto assets by market cap, refreshed every 15 minutes from CoinGecko; when the feed halts, the board says HALTED instead of dressing stale data as fresh. The site records what happened. You supply the opinions.
And if one of those opinions deserves thread on fabric: the shop ↗