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Here' s a brief analysis of the GPRO write-up, digging into the trade details as an example of how just looking at summary data can be quite misleading. I do love the tool's ease of use and quickness, but I do wish some of the trade write-ups that @Ophir Gottliebposts in this thread would include some of this deeper dive data. GPRO stock ranged in price from over $70 to under $10 during this 3 year backtest. This means that with the tool's use of dollar returns in its calculations that the results will be heavily skewed to the trade iterations when the price was higher. Here is a sorted table of trade opening straddle prices and percent return sorted by the straddle price (the difference between high and low straddle prices is 10x). str price gain/loss 1405 9.61% 925 -2.16% 760 -1.97% 700 39.86% 680 -2.94% 632 -10.13% 564 -2.29% 257 15.18% 253 10.67% 241 0.82% 194 -2.06% 189 -1.06% 140 -13.57% sum of gain/loss = +39.96% (average of +3.07%) What we have is a trade that averages +3.07% each iteration over 3 years (and that is without commissions as I just looked at opening and closing straddle prices) - and virtually all of the gains came from the one trade iteration that gained +39.86% with the 12 other iterations basically breaking even. Does this sound like a trade you would like to have on each earnings cycle???