FIGURE 1: PARTIAL OUTPUT OF WALK-FORWARD METRIC PERFORMANCE EXPLORER. Here you see the summary of the out-of-sample performance results for the b20tLB<80-tnp filter.
TRADING SYSTEMS
All Aboard The Trend!
Here in the second part of this article, you’ll identify optimal parameters and find out how the system performed.
Last month in part 1, I described the repeated median velocity (RMV) strategy and how it can be used to place buy & sell orders and how to test this strategy. Here in part 2, I will discuss how to find the optimized system parameters so you can increase your overall trading profits.
FINDING THE SYSTEM PARAMETERS
In the RMV strategy, there are three strategy parameters to find: N, vup, and vdn. For the test data, I ran the TradeStation optimization engine on the Russell 2000 index emini futures (TF) one-minute price bars from March 30, 2011 to May 3, 2013 with the following optimization ranges for the repeated median strategy inputs:
I created 105 30-day in-sample periods each followed by a seven-day out-of-sample period for the in-sample/out-of-sample periods (see sidebar “Walk-Forward Out-Of-Sample Performance Summary” at https://www.traders.com/files/MeyersSB.html). This will produce 2,400 different input combinations or cases of the strategy input parameters for each of the 105 in-sample/out-of-sample files for the two years of one-minute bar TF data.
What I am trying to do is statistically identify the best performance metric (which I call a filter) or combination of best performance metrics that I can apply to the in-sample section that will give me strategy inputs that will produce, on average, valid profits in the out-of-sample section, or future data.
FIGURE 1: PARTIAL OUTPUT OF WALK-FORWARD METRIC PERFORMANCE EXPLORER. Here you see the summary of the out-of-sample performance results for the b20tLB<80-tnp filter.