Breakout Detector
The Breakout Detector compares breakout-like price behavior across all 31 supported pairs with a false-break classification layer. Each pair receives a model score, direction label, and volume-context status for study; the filter does not identify participants, predict persistence, or prevent losses.
What this page covers
- How the Breakout Detector classifies breakout and false-break examples
- How to read the setup score and volume confirmation status
- How to combine breakout signals with Kill Zone timing
- The difference between a momentum breakout and a range expansion
The False Break Problem
A breakout classification describes price moving beyond a reference level. A false-break classification describes a move that later returns through that level. These labels do not identify participants or establish why the move occurred.
Volume, candle closure, follow-through, and higher-timeframe structure are displayed as model inputs. Compare those inputs with later candles rather than treating them as proof of persistence or a forecast.
The False-Break Filter
The false-break filter displays four comparisons for each breakout-like event:
- Volume comparison
The model compares event volume with the recent average and displays the relationship as context. No volume ratio confirms a breakout or invalidates an interpretation.
- Candle-close comparison
The filter records whether a closed candle remained beyond the reference level rather than only producing a wick. This is a retrospective field, not a required confirmation.
- Speed-of-move analysis
The model compares subsequent candles for stalling, continuation, or return through the level. Score changes summarize the comparison and do not predict the next move.
- Multi-timeframe comparison
The 1H reading is displayed alongside 4H structure so learners can compare timeframes, including range and nearby levels.
Reading the Breakout Setup Score
| Score range | Illustrative classification | Study note |
|---|---|---|
| 0–49 | Lower model reading | Compare source data and later candles |
| 50–69 | Intermediate model reading | Review assumptions and context |
| 70–84 | Elevated model reading | Do not infer probability or action |
| 85–100 | Higher model reading | Treat as an unusual observation, not confirmation |
Combining With Kill Zones
Kill Zone opens, including the London open and London-NY overlap, are commonly studied for changes in participation and volume. Historical behavior varies by instrument and period, and session timing does not establish that a breakout will occur or persist.
| Kill Zone | Study comparison | Context to record |
|---|---|---|
| Asia (Tokyo) | Range behavior after overnight consolidation — USDJPY, AUDUSD, NZDUSD | Record volume and later direction |
| London open | Continuation or reversal relative to Asian range — EURUSD, GBPUSD, XAUUSD | Record level and candle behavior |
| London-NY overlap | Breakout-like behavior during overlapping session windows | Compare volume and follow-through |
| NY session | Behavior following the London session | Record whether structure persisted or changed |
Frequently asked questions
What key levels does the Breakout Detector monitor?
The detector monitors: previous day high/low, previous week high/low, Asian session range highs/lows, major swing highs/lows on the 4H chart, and round psychological levels (1.1000, 2000, etc.). It does not monitor arbitrary drawn trendlines — only objective, universally visible levels that all market participants can see.
How quickly does the breakout score update?
Scores update every 5 minutes. When a breakout event occurs (price closes beyond a key level), the score updates within 60 seconds on the 1H timeframe. The volume confirmation status updates at the close of each candle.
Can I set an alert for a specific pair when it reaches a target breakout score?
Yes — use Alert Intel to create a configurable score filter for a pair. The resulting notification identifies a displayed model reading; it is not an instruction to engage or a forecast.