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ForeXecutor Optimizing ForeXecutor Scripts 3 of 3**
ForeXecutor Optimizing ForeXecutor Scripts 3 of 3**
| Optimizing ForeXecutor Scripts 3 of 3** |
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In the last segment I briefly introduced the concept of curve fitting. For our purposes, curve fitting refers to making a system fit the conditions for a given time frame so that the results are good for only that section of time. For instance let’s take last week’s 90% accuracy that we were able to generate by optimizing the script. To reduce this opportunity for this happening, we can take a few simple precautions. I’ll first go to the script that I have optimized for the GBPJPY 1 Hr chart. Here are the results for the past year, 1354 points and 84 % accurate.** Now here are the results for the previous year. Still not bad, but the results are much different, 282 points, with accuracy of 77%. ** So what is the difference? The answer lies in understanding of different market conditions. You can do one of two things at this point. Try to identify what the difference in the conditions, then optimize for each condition or optimize so that both market conditions can be auto traded without having to worry about differing market conditions. ** Here are the results now that we have optimized for four different market conditions. With the exception of 05-06, the results are pretty solid 75% accuracy 500+ points, and draw downs within reason. This may be able to be further analyzed and improved but in all I spent about 2 hours working on this optimization and creating the blogs. You can see how this type of work pays off. **
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