Historical highs and lows compared using rpietila's trendline:
Date Price / Trend = x% (Factor)
Lows 2011-11-17 1.99 / 2.05 = 97.11% (1 / 1.03)
2012-08-19 7.58 / 13.90 = 54.52% (1 / 1.83)
2013-04-16 50.01 / 74.30 = 67.31% (1 / 1.49)
2013-07-05 65.42 / 129.59 = 50.48% (1 / 1.98)
Highs 2011-06-08 31.91 / 0.67 = 4780.29% (1 * 47.80)
2012-01-05 7.22 / 2.87 = 251.38% (1 * 2.51)
2012-08-17 15.04 / 13.71 = 109.67% (1 * 1.10)
2013-04-10 266.00 / 71.22 = 373.48% (1 * 3.73)
2013-11-19 900.98 / 333.86 = 269.87% (1 * 2.70)
This looks interesting - but what does it mean?
The average bubble is 3.12 times the trendline
> x <- c(47.8, 2.51, 1.1, 3.73, 2,7)
> summary(x)
Min. 1st Qu. Median Mean 3rd Qu. Max.
1.100 2.128 3.120 10.690 6.182 47.800 No, that's wrong. If by "average" you mean median and by "bubble" you mean the 5 highs you have included in your data set, then mental arithmetic shows that the answer should be 2.7. Your software gave the wrong answer because you entered ...3.73, 2,7) instead of ...3.73, 2.7)