Discover Blended Methods™
Become a manager of more than one trading method!
Since we began developing and marketing methods several years ago, we have come to the realization that a great way to trade methods is to become a manager of more than one method. As opposed to managing contract sets, it becomes highly profitable to manage the methods themselves, regardless of how many contract sets are traded within each method.
What happens is that a certain degree of synergy is created by blending two or more methods The limiting factor becomes only how many methods you can manage within your emotional, psychological, physical, and financial comfort levels.
The resulting synergy produces a remarkably smooth equity curve. Any period in which the equity of one method falters or goes flat is smoothed by the performance of the other method or methods. The more methods under management, the smoother the equity curve and the better the overall resulting statistics. The more methods traded, the less probability there is of the blend of methods failing.
Of course the question arises: "What if all the methods go flat or begin losing at the same time?" The answer is that when the equity curve dips sharply because all methods are flat or losing, it is time to stop trading all of the methods.
As long as the methods are not performing, you should stand aside, closely monitoring each one, and re-introducing them into the mix as they once again begin to perform. In order to maximize the effectiveness of every method, we regularly evaluate the rules for each method in order to optimize the performance for the latest two-month period. Changes to the parameters for any method are posted in our private methods forums.
We have created a sample equity chart and a sample statistical table for a blend of methods, so you can see how they look. When trading blended methods, please compare the chart showing the equity of the blended methods with the charts of the individual methods. Pay attention to the areas where a single method dipped or went flat. That way you will know which methods may be dragging down the overall blend.
Next, compare the statistical table for the
various methods against the statistical table for the
blended methods. I think you will pleasantly surprised.

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