EUR/USD Range
Distribution
Comprehensive analysis of how far price moves from the open on bullish days in EUR/USD. Based on 3,210 bullish sessions spanning 24 years.
Open–High Range Distribution
| Range (Pips) | Days | % of Total | Distribution | Rolling % |
|---|
Rolling % = cumulative probability of reaching at least that pip bucket on a bullish day.
Cumulative Distribution
Range Distribution Histogram
40.0–50.0 pip range dominates at 11.03% — prime take-profit zone for intraday longs.
Key Trading Insights
54% between 40–70 pips
Steady, methodical climbs to targets — ideal for scaling out.
11.03% frequency
A frequent take-profit area — align targets with this high-density zone.
91% below 150 pips
Low volatility queen — only 8.6% exceed 150 pips, ideal for fixed targets.
Fade extremes
Rare spikes beyond 150 pips often retrace — edge for fade entries.
Trading Application
Capture small wins. Mean reversion rules — trade the high-probability zones.
50%+ hit rate
Align with 40–50 and 60–70 peak density. High-probability profit zone.
Laddering approach
Partial exits at 60 pips, then 100 pips to capture grind while managing risk.
Mean reversion expected
When price exceeds 150 pips, high probability of pullback to median.
Explore Our EUR/USD Datasets
Dive deeper into specific aspects of EUR/USD price action.
Bullish Day Open – Close Range Frequency
How far from the daily open price closes on bullish days — range percentile distributions.
Bullish Day Open – Low Range Frequency
Drawdown distribution from daily open to session low on bullish days — key for stop placement.
Consecutive Higher High Streaks
Frequency and success rate of consecutive daily higher highs forming across tracked history.
EUR/JPY Bullish Open – High Range
Compare bullish open-high range distributions on EUR/JPY — a highly correlated USD pair.
EUR/GBP Bullish Open – High Range
Compare bullish open-high range distributions on EUR/GBP — the direct EUR strength cross.
EUR/USD Data Hub
The full EUR/USD dataset library — streaks, ranges, calendars, and key statistics in one place.