Hanzo AI's Breakout Detector scores breakouts across 33 pairs with a 4-layer false-break filter that separates institutional breakouts from retail stop-hunts in real time.
The Breakout Detector monitors 33 pairs for breakout events and applies a 4-layer false-break filter to determine whether a breakout represents genuine institutional momentum or a retail stop-hunt that will reverse.
Layer 1: Volume confirmation (institutional breakouts show above-average volume; stop-hunts often occur on thin volume). Layer 2: Follow-through analysis (price behavior in the 3-5 bars after the break). Layer 3: Session alignment (breakouts during kill zones are more likely genuine). Layer 4: Structural context (is the break through a genuine supply/demand zone or a retail pivot?)
Each breakout receives a composite score incorporating all 4 filter layers. High scores (70+) indicate high-probability genuine breakouts. Low scores indicate likely stop-hunts to fade.
The engine scans all 33 pairs continuously and alerts when a scored breakout event occurs. Alerts include the pair, direction, score, and the specific filter factors that contributed to the rating.
Breakout detection runs on a 1-minute scan cycle. Telegram alerts deliver within 60-90 seconds of the breakout event being confirmed by the filter layers.
Yes. Alert Intel allows setting a minimum score threshold for breakout alerts — set it to 70+ to only receive high-confidence institutional breakout signals.