AnomIQ vs. CryptoMeter:
Score Every Asset Against Its Own History, Not a Published Win Rate.

An Outcome Statistic vs. a Structural Answer

CryptoMeter's answer to signal quality is a headline number: a published win rate for trades that returned more than 5% after a signal. When conditions get harder to call, the screener's response is to go quiet market-wide rather than change how it measures any individual asset.

AnomIQ doesn't publish a win rate, by design. A single trained model applied to every coin produces one accuracy number because it's making the same kind of call on all of them. AnomIQ's filters compute a rolling statistical baseline for each individual coin, so what counts as unusual for a stablecoin pair and what counts as unusual for a thin-liquidity altcoin are different absolute numbers, continuously, in bull markets and bear markets alike.

An Investigation Trigger, Not a Trade Call

CryptoMeter frames its output as trade setups with a tracked win rate, output that reads as a directional recommendation. AnomIQ's alerts are deliberately narrower.

• The Screener Approach: Score trade setups with an AI model, publish a historical win rate across all of them, and mute the whole screener when the broader market turns bearish.
• The AnomIQ Approach: Score each coin's live order flow, volume, and open interest against its own rolling baseline, and alert only when that specific market breaks from its own norm — active regardless of whether the broader market is bullish or bearish, and with no win/loss framing attached.