In addition to a 50% outperformance on a buy and hold strategy, I would be interested to know if the successful trade strategies were also determined based on: - what is the mean return of the population of tested variables; - what was the population; - statistical results; - negative skew results, were excessively high negative results excluded from what is considered to be a successful outcome; - were the results of the null hypothesis - did the analysis generate a mean average return that was significantly different to the buy and hold return The test period would be interesting to understand. For example if the buy and hold analysis generated a negative return, and the technical analysis generated an outperformance result, but if the test were done during a different time frame when the buy and hold result was significantly positive, does the technical taking generate a consistent outperformance. Also, if the test period generates a mean result that is close to nil, with a negative skew, this may not be a successful outcome if the reason that the outperformance was actually due to time out of the market rather than timing in and out of the market.