Effect of Initial Money Management Stop

Since the initial test of the 65sma-3cc model was encouraging, we can now do more testing. The first item of business is to insert an initial money management stop into this model. Our detailed analysis of the MAE showed that we could safely set bur stop at $1,000, or even as high as $1,750, and capture substantially all profitable trades.


The 65sma-3cc Trend-Following System 89

However, we should insert another condition into the formulation of the model before testing for the effect of initial stops. If our stop is too "tight" during testing, we will be stopped out right after the first sig­nal. Then, there may be a succession of trades, all in the same direction (all long or short signals), that will also result in losing trades, before one of them kicks into the major trend. Thus, the analysis would be dis­torted. What we want is to pick off exactly the same trades as we did without any initial stop. To achieve this goal, we must insert rules that do not allow successive trades of the same type, to ensure that we will not have two back-to-back long or short trades if we get stopped out af­ter the first signal. In effect, with this rule, if we get stopped out, we must wait for the opposing signal before getting in. Of course, you do not need this condition for actual trading.

Inserting an initial condition should have two effects. (1) It should reduce the maximum intraday drawdown, since some potentially large losing trades will be cut off. (2) It should also reduce the number of profitable trades and the total paper profit, since the same stop will also cut off some potentially profitable trades. Some calculations will show if we can verify these expectations.

The results of these calculations are shown in Table 4.3, which can be compared to the results in Table 4.2. The markets and test periods are identical in both tables. Adding a $1,000 stop reduces total paper profits by 21.5 percent, from $1,386,747 to $1,088,804. Similarly, the number of winning trades fell to 689 from 810, or by 17.6 percent. As expected, the average maximum drawdown and its standard deviation also decreased, showing the desired smoothing effect due to the initial stop. The reduction was about 18.5 percent in the drawdown, and 40 percent in the standard deviation. Thus, adding a hard dollar initial money management stop had the desired effect of reducing drawdown and smoothing out the variation in system performance. There was also a resultant reduction in total returns.

We chose the $1,000 initial money management stop from the MFE plot. Calculations for a $500 stop result in an even greater reduc­tion in profits, drawdown, and volatility.

We can continue this line of thought by looking at the U.S. bond and deutsche mark markets. Our analysis of 777 profitable trades showed that once the drawdown exceeded -$1,750, few trades ended with a profit. Hence, the initial stop is varied from $250 to $1,750 in the following tests to look at the effect on the total number of profitable trades. As the initial money management stop increases, the number of profitable trades increases and then levels off (see Figure 4.12, page 90). This shows that the initial stop acts as a filter, and as the stop widens, it


90 Developing New Trading Systems

Table 4.3 Effect of adding a $1,000 initial money management stop to the 65sma-3cc system

Market Paper Profit ($) Winning Trades Average Trade (S) Maximum Intraday Drawdown (S)
British pound 121,325 -18,100
Canadian dollar -8,490 -68 -17,080
Cocoa -9,670 -96 -17,110
Coffee 203,719 -24,953
Copper, high-grade -9,175
Corn 26,525 -4,175
Cotton 99,695 -7,810
Crude oil 8,290 -10,410
Deutsche mark 69,100 -6,675
Eurodollar 1 7,875 -5,225
Gold, Comex 36,850 -36,960
Heating oil 16,760 -22,328
Japanese yen 106,388 -12,963
Live hogs 29,970 -5,609
Orange juice 20,435 -22,188
Silver 143,165 -47,710
Soybeans 47,281 -23,806
S&P-500 29,975 -47,295
Sugar 32,044 -8,582
Swiss franc 55,638 -14,975
10-year T-note 30,407 -8,606
U.S. bond 2,706 -22,700
Wheat 8,338 -18,331
Total 1,088,804        
Average 47,339 -17,946
Standard deviation 53,800 12,301

 

allows more trades to pass through. Eventually, the filter is too big, and does not cut off any trades. This allows the number of profitable trades to level off.

We have so far placed our stop using a dollar figure without ac­counting for market volatility. However, whereas in the coffee market, a $1,000 stop may seem too tight, in the corn market it may seen too wide. Thus, in some markets, a given stop will work like a stop near the left edge of Figure 4.12, and, conversely, in other markets, the same dol­lar stop will work like a stop on the right side of the figure.


The 65sma-3cc Trend-Following System 91