Optimizing With Hilbert Indicators by Roger Darley
Adjusting your trading signals to account for what’s actually happening in the market can mean a nice profit for you.
If I knew what the optimum moving average length (or any other filter ’s length) was on a daily basis, then my indicators and trading strategies could be optimized for what is actually happening in the market. John Ehlers’s recent articles in the March and May 2000 issues of STOCKS & COMMODITIES concerning adaptive indicators for traders now make it possible to do just that —optimize trading strategies for what is actually happening in the market on a day-by-day basis. When I do this, I find I have a 10 –20% improvement in my results.
Here ’s how to build a simple channel breakout system using EasyLanguage code (see Traders’ Tips, “Hilbert channel breakout indicator”), which incorporates adaptive filters that adjust moving averages to reflect actual market conditions. I got the idea from working with Ehlers’s MESA software, but the idea works just as well with the indicators that he published in S&C.