NEW TECHNIQUES 

Dynamic
Zones


by Leo Zamansky, Ph.D., and David Stendahl

Most indicators use a fixed zone for buy and sell signals. Here's a concept based on zones that are responsive to past levels of the indicator. 

One approach to active investing employs the use of oscillators to exploit tradable market trends. This investing style follows a very simple form of logic: Enter the market only when an oscillator has moved far above or below traditional trading levels. However, these oscillator-driven systems lack the ability to evolve with the market because they use fixed buy and sell zones. Traders typically use one set of buy and sell zones for a bull market and substantially different zones for a bear market. And therein lies the problem.

Once traders begin introducing their market opinions into trading equations, by changing the zones, they negate the system's mechanical nature. The objective is to have a system automatically define its own buy and sell zones and thereby profitably trade in any market -- bull or bear. Dynamic zones offer a solution to the problem of fixed buy and sell zones for any oscillator-driven system.

CALCULATING THE DYNAMIC ZONES
The algorithm for the dynamic zones is a series of steps. First, decide the value of the lookback period t. Next, decide the value of the probability Pbuy for buy zone and value of the probability Psell for the sell zone.
 

Figure 1: Buy and sell zones, S&P 500. Figure 1 illustrates the buy and sell zones for the Standard & Poor's 500 market using a nine-day relative strength indicato. The area above and below the dynamic zones constitute the upper and lower 10% boundaries. The zones appear to evolve with the market because they use a rolling 70-day period of indicator values in their construction.
 
Figure 1 illustrates the buy and sell zones for the Standard & Poor's 500 market using a nine-day relative strength indicator (RSI). The area above and below the dynamic zones constitute the upper and lower 10% boundaries. The zones appear to evolve with the market because they use a rolling 70-day period of indicator values in their construction.

Leo Zamansky is president of Rina Systems, Inc., which specializes in the design, development, evaluation and improvement of trading systems.
David C. Stendahl is a professional trader and vice president of financial services with Rina Systems. Rina Systems is the developer of Performance Summary Plus and Portfolio Evaluator, performance evaluation software packages for Omega Research's TradeStation and SuperCharts. Zamansky and Stendahl can be reached at 513 772-7462.
Excerpted from an article originally published in the July 1997 issue of Technical Analysis of STOCKS & COMMODITIES magazine. 
© Copyright 1997, Technical Analysis, Inc. All rights reserved.

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