Abstract: This paper introduces the difference and relationship between the hot tack and ultimate strength. It uses example to introduce the close relationship between hot tack and choices of filling product line.
In Florida, we took it a step further. We slapped a letter grade onto schools that produced improved test results and applauded the “A” schools. Administrators of the “D” and “F” schools gave the obligatory excuses, vowing to turn that around.
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The point is that the original trading idea puts the stop loss point just beyond a major support or resistance area on the chart. It is a logical thing to do because it is known that other players in the trading game will perceive the support or resistance areas as a barrier. That barrier would have to be penetrated before the stop is triggered. This trading idea is arrived at quite independently of the best data generators.
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So in summary, we’ve seen that data mining is a way to use our historical price data to suggest a workable trading strategy, but that we have to be aware of the pitfalls of the multiple hypothesis problem and overfitting. The way to make sure that we don’t fall prey to these pitfalls is to backtest our strategy using a different dataset than the one we used during our data mining exploration. We commonly refer to this as “out of sample testing”.