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No Ordinary Duck
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I just wanted to clarify the definition of a 'break-out' system...apples with apples, etc
To be honest, I haven't spent much time testing long term systems on equities.
I'm more inclined toward higher frequency models - just a personal preference.
Sorry for being a little cryptic with my previous post on vegetables.I just wanted to clarify the definition of a 'break-out' system...apples with apples, etc
To be honest, I haven't spent much time testing long term systems on equities.
I'm more inclined toward higher frequency models - just a personal preference.
And nothing wrong with that either.
Some people were suggesting that the entry (breakout or otherwise) is irrelevant and that it is the exit that is important. The previous link I posted showed that a random entry underperformed a simple breakout entry using a random exit.
You'd be referring to me, here. I don't understand how you can come to the conclusions above - your blog entries do NOT support your conclusions as you are changing TWO variables, not one.
System 1: ROC Breakout Entry + Random Exit
System 2: Random Entry + MA Exit
These two systems have NOTHING in common and cannot be compared.
If you really wanted to compare systems, you'd compare;
System 1: Random Entry + Random Exit
System 2: ROC Breakout Entry + Random Exit
You'd then be able to find out if the entry added or subtracted value.
Have a look at http://drawdown.blogspot.com/2006/03/comparing-systems-using-monte-carlo.html
...I tested random entry versus breakout entry and the same exit criteria for both systems.
Entering on a breakout does NOT add value to long term trend following systems. In fact, it does the opposite.
IMO, you need to observe the distribution of results. The average doesn't tell anywhere near as much as the way results are distributed, skewed etc.
Also, if you start both tests from the same date on every run through there is a fair chance you are introducing start-date bias. For example, the point where you start your test may have had historically good returns, but been poor at producing breakout triggers. The breakout system will always miss this period, and as a kind of tipping point, can account for anomalies between your results.
In all my random testing I randomise that start-date by up to 3 months to try and avoid this as a factor.
In addition, you haven't stated the total number of trades each system is making. Assuming the holding times are comparible this will tell you the relative exposure each system has to the market. In an upward trending bullmarket, like the one we've just had, just being in the market more often, can often lead to better returns. For this reason, when I do random testing I also randomise a wait period between trades, to simulate the time when a real system would be waiting for it's next signal.
The difference in those results is not conclusive. I've done a fair bit of testing with random systems and the truth IMO is that nothing really is conclusive...but I'd be well wary of drawing conclusions from those results.
If you really wanted to compare systems, you'd compare;
System 1: Random Entry + Random Exit
System 2: ROC Breakout Entry + Random Exit
You'd then be able to find out if the entry added or subtracted value.
Entries become important when you have initial stoplosses. Your study did not have any initial stoplosses.
Out of interest,do you believe ANY entry is better than Random or are all entries in your view a delusional "Feel good" method of entering a trade?
I fail to see how even these two systems can be compared. At the end of the day, random is exactly that, random, and for system 1 which incorporates two random factors, the results returned could potentially range from -100K to 100K, depending on the iteration chosen. For the results of a singular iteration from system 1 to be compared to a singular iteration from system 2, which also incorporates a random exit, is to my line of thinking, a meaningless exercise, akin to comparing two "stabs in the dark".
100% agree with this.I guess that point to the exercise is that if a system can't soundly beat random entry and exit then it's not worth trading it.
The entry and exit is random, but the market tends to have a bias. If I was flipping a perfect coin I would agree that the results would be ranged evenly around an average. But a random entry / exit test will show a profit in the majority of cases, at least in the Aussie market over the last 10 years.
I guess that point to the exercise is that if a system can't soundly beat random entry and exit then it's not worth trading it.
I don't have any problems at all in not being believed and being laughed at - the continuing belief of traders in breakouts is one of the edges I exploit. For that particular edge, the entry is THE most important aspect of the trade.
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