This dataset summarizes the distribution of breakout profit percentages across multiple timeframes. Metrics include count, mean, standard deviation, and key percentiles (Min, 25%, 50%, 75%, Max).
Time | Count | Mean | Std | Min | 25% | 50% | 75% | Max
------|-------|--------|--------|--------|--------|--------|--------|---------
5m | 1739 | 8.84% | 5.08% | 5.08% | 5.84% | 7.18% | 9.83% | 56.76%
10m | 878 | 13.32% | 8.19% | 7.75% | 8.87% |10.70% |14.14% | 92.71%
15m | 600 | 18.11% |13.65% |10.29% |11.84% |14.35% |19.82% |230.48%
30m | 285 | 28.42% |14.48% |16.91% |19.88% |23.80% |30.63% |111.97%
Insight: As the timeframe increases, both the average breakout profit and its variability (std) tend to grow. Notably, the 30-minute window shows the highest median and maximum returns, but also increased spread.