Thanks. That helped a lot. However, I am not especially happy with the following:
System test report window correctly_annualized_perc_return = 100% * ( (final_value/initial_value) ^ ( 365 / days_in_test ) - 1 ) where x^y means rising x to the power of y The problem I find lays in knowing precisely what initial_value is supposed to be. Yes, the formula is correct, and makes sense, if the initial value is fully utilized in the investment (such as the initial and final value of a house one has purchased). However, in the system I am working on, at no point does the total value of all open positions exceed $100,000, and yet I have been instructed to set, as a default for backtesting purposes, initial cash at 1,000,000 (the trader we're working with doesn't want to deal with any limits posed by the available cash). But that means I can arbitrarily improve the rate of return by a factor of ten if I use an initial value of 100,000 or arbitrarily make it worse by using an initial value of 2,000,000. Obviously, I can't use an initial value less than 100,000 or the trades the system recommends would not be possible, but apart from that constraint, that I can arbitrarily alter initial value without affecting total return seems to make this figure just so much meaningless BS. At no time, when using this code, is position size computed from the available cash. How, then, can I define things in such a way that ensures that the rate of return actually has a meaningful value? So far, it seems I can only compute a meaningful value for the rate of return for a specific trade (where the initial value is obviously the cost of buying the shares, for a long position, or the value received from the sale of shares, for a short position), but not for a collection of trades distributed over a period of several years. Is there a standard way for handling this? One that is demonstrably valid? Thanks Ted On Mon, Feb 8, 2010 at 4:11 PM, reefbreak_sd <[email protected]> wrote: > > > In AB, click on HELP -> SEARCH > type in "BackTester Report" in the search window > Under the "Select Topic" that comes back, click on "System Test Report > Window" and you will see a definition of each term. Many of these are > industry standard metrics of performance. > > You can go to www.investopedia.com and type in for example "risk adjusted > return" and get a more detailed explaination of most of the report items. > > Reef > > > --- In [email protected] <amibroker%40yahoogroups.com>, Ted Byers > <r.ted.by...@...> wrote: > > > > Hi All, > > > > > > I am digging into how AmiBroker computes the various statistics it > reports > > on a given back test. > > > > For example, I see the following reported: > > > > Exposure % > > Net Risk Adjusted Return % > > Annual Return % > > Risk Adjusted Return % > > > > Where will I find the details of exactly how AmiBroker computes these > from a > > given suite of trades? Now, I know what a risk adjusted return is, but in > > my previous work, it is based on 100% of the cash being invested, and it > > carries a specific definition of "risk". In the system I am working with > > now, it is rare for 100% of the available cash to be invested, and a > really > > really long lived trade lasts only a couple weeks (though 9 out of 10 > trades > > were profitable in my last back test using my own C++ code - which in my > > view was quite bad - average position size of about 50,000 and total > profit > > over 2 years being about 10,000). It seems rather meaningless to report > an > > annual rate of return if one is in the market for less than a month. > > > > In this "system", the position size is not a function of the total amount > of > > cash available; so if these rates are defined relative to the total > amount > > of cash available, I can arbitrarily change these rates by increasing or > > decreasing the amount of cash available, within limits. I am afraid my > > understanding of these ideas is derived from the perspective of an > investor > > (where one buys a stock, and looks at returns based on the combination of > > dividends and long term change in share value, adjusted for splits, &c.). > > If I can see how AmiBroker computes these stats for a given backtest, I > hope > > to understand these from the perspective of a trader. > > > > So where will I find the documentation of how AmiBroker computes these > back > > test statistics? > > > > Thanks > > > > Ted > > > > > -- R.E.(Ted) Byers, Ph.D.,Ed.D. [email protected] CTO Merchant Services Corp. 350 Harry Walker Parkway North, Suite 8 Newmarket, Ontario L3Y 8L3
