DislikedNo, I think mixing the two time frames just confuses the issue, so let's keep it as simple as possible. The question is essentially whether the short term 50-hour correlations are meaningful or just the result of randomness. In order to do this, you need to compare several independent periods to each other.
The tool I would pick is the coefficient of variance (COV). This is just the standard deviation of a set of data divided by its mean, so it gives you a dimensionless measure of how "consistent" the data points are. You could take correlations from 10 periods.
The ideal case is that all the correlations are high, and tend to hover right around the same values. So suppose you get results where the mean is very high, say around 90% and the STDEV is low, like around 10%. This would give you a COV of 0.11. I would say any COV of 0.10 or less would indicate that there is SOMETHING (no idea what) non-random which is causing a CONSISTENTLY high correlation.
Now I don't know which would work better for you; to take several periods of 50 hours each, or to break up one 50 hour period into several smaller periods.
Either way, you can use COV to test to see if the correlations you're seeing are just the result of randomness or not. This is a very basic "back of the envelope" kind of test, and a real statistician would probably laugh at me,but it's quick. One thing to remember is that in order for COV to give meaningful results, ALL OF THE DATA POINTS MUST HAVE THE SAME SIGN.
Hope this helps a bit.Ignored
Base condition:
Pips: 7,488
Win/Loss: 0.665946
.1 COV, 5 bar conf:
Pips: 7,536
Win/Loss: 0.667389
.1 COV, 10 bar conf:
Pips: 7,415
Win/Loss: 0.670034
.1 COV, 20 bar conf:
Pips: 6,270
Win/Loss: 0.668421
.1 COV, 50 bar conf:
Pips: 3,780
Win/Loss: 0.651072
The drop from 20 bar to 50 bar is interesting. Also, just for grins, using my money management approach options 2 and 3 will turn a $10,000 investment into > $400,000 during this testing period. Of course that is just theory, making it work in reality is another thing:-)
Dan
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