In statistical view, each trade should be independent with one and other. But many people agree that you should reduce your bet when you had a series of losses. This statement seems to argue that trades are dependent. Which one is true?
Quote from ADX_trader:
In statistical view, each trade should be independent with one and other. But many people agree that you should reduce your bet when you had a series of losses. This statement seems to argue that trades are dependent. Which one is true?
.Quote from ADX_trader:
In statistical view, each trade should be independent with one and other. But many people agree that you should reduce your bet when you had a series of losses. This statement seems to argue that trades are dependent. Which one is true?
Re: Are trades independent?Quote from ADX_trader:
In statistical view, each trade should be independent with one and other. But many people agree that you should reduce your bet when you had a series of losses. This statement seems to argue that trades are dependent. Which one is true?
Quote from harrytrader:
Yes and no but it's a bit long so I will explain this evening or next week-end or I will make it shorter than intended.
. Quote from harrytrader:
At least was a little discussed here:
http://www.elitetrader.com/vb/showthread.php?s=&postid=254247&highlight=independancy#post254247
"all statistic inference is only true within that implicit premisce of independancy. If one trade depends on another there is a risk of overestimating. If you take one trade and then another 1 minute later this is obvious. But it can be also the same thing with two trades that has been taken the same week since because of market symetry property market cycle tend to repeat more or less although in counterclock path and if your system is also symetrical these two trades will be in fact dependant.
So as a practical protocol, one can say that statistically it is at least needed 35 items (100 is better of course) in a sample that must be sampled randomly among a population of hundreds of trading days if one want to be sure that the sample is not biased by a too much small size of the population. If one hasn't such a huge number of trading days then rather take a survey approach by splitting days into several market contexts and sub-sampling within each context so as to constitute the whole sample. Of course I simplify but that's the basic idea. If you want to refine with monte-carlo and things like that it's up to you but sometimes it's not more worth than a gadget approach although it is at least useful to have a better visual feeling."