Quote from tim888:
I don't think this is the important issue here. I think that Mike805 is trying to demostrate that the performance of some money managers and traders can be attributed to pure luck and not to some edge. Maybe it would be better for him to explain what motivated his test and I apologize if he has already done that.
I'm glad these results have gotten people to ask a variety of questions, that was the motivation for me. I have answers to these questions that I'm comfortable with, but, I encourage people to formulate their own conclusions.
One thing before we continue:
Intradaybill, I appreciate you taking me off of ignore. Unfortunately you are really bad at picking your battles. You see, master_jaz is being constructive. Goochgobbler and you, well, you two kinda belong together. I wonder if somebody out there makes a couples "douche kit"? You know, for douche buddies... I'll ask around.
Anyway, back to the fun stuff.
The point of my post is what many here likely already know. I can "spin" a new set of results from the random() function by pressing "simulate" on my backtester. After a 100 "spins", I'll get a bunch of equity curves that are profitable, a bunch that are negative, a bunch that are breakeven. In the case I posted, I spun 3 times and voila, a "profitable" equity curve arose...
What does this mean? Well, my personal conclusion is that randomness plays a large role in what we do, and, many traders' success can be attributed to a lucky streak similar to that of a coin flip. The difference is always difficult to pin-point, but, there are ways to identify if a traders' results are random, and, I can get into that later...
My personal belief system is in the conceptual idea behind the trade. The conceptual idea must pass a very stringent set of tests before I run with it. Among those tests is body of academic research, the "common sense" factor, and perhaps most importantly, the idea has to show signs of profitability from the moment one codes it up for testing, i.e. no working a set of variables and doctoring a good looking equity curve (that's not to say I don't use optimization).
That last paragraph likely went a bit further than I was intending, so, lets get back to that pesky 12:55 PM entry time. As another poster mentioned, the system goes long/short only at that time if the random() value meets a criteria, meaning it can hold for a while... this was done on 5min ES data, so the number of bars is the ES day to day session +/- a few bars...
Why did I choose ES and why did I choose 12:55? Well, the product really doesn't matter that much. The time of day, as I will show later, has some interesting effects...
Anyone care to add in a "non-random" condition to the rules to see what happens?
Also, anyone want to mess around with the time of day? Any ideas?
