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Figure 19.2 Method II sell example, Micron, 150 days. Weakness in price confirmed by weakness in MFI equals a sell signal.



Chapter 19: Method II: Trend Following

So at 0.8, %b is telling us that we are 80 percent of the way up from the lower band to the upper band. Another way of looking at that is that we are in the top 20 percent of the area between the bands. MFI is a bounded indicator running between 0 and 100. Thus, 80 is a very strong reading representing the upper trigger level, similar in significance to 70 for RSI.

So Method II combines price strength with indicator strength to forecast higher prices, or price weakness with indicator weakness to forecast lower prices.

Well use the basic Bollinger Band settings of 20 periods and ±2 standard deviations. To set the MFI parameters well employ an old rule: Indicator length should be approximately half the length of the calculation period for the bands. Though the exact origin of this rule is unknown to me, it is likely an adaptation of a rule from cycle analysis that suggests using moving averages a quarter the length of the dominant cycle. Experimentation showed that periods a quarter of the calculation period for the bands were generally too short, but that a half-length period for the indicators worked quite well. As with all things, these are but starting values. This approach offers many variations you can explore, as shown in Table 19.1. Also, any of the inputs could be varied as a function of the characteristics of the vehicle being traded to create a more adaptive system.

The main trap to avoid is late entry, since much of the potential may have been used up. A problem with Method II is that the risk-reward characteristics are harder to quantify, as the move may

Table 19.1 Method II Variations

Volume-Weighted MACD could be substituted for MFI.* The strength (threshold) required for both %b and the indicator can be varied.

The speed of the Parabolic also can be varied.

The length parameter for the Bollinger Bands could be adjusted.

*A variation on VWMACD, VWMACD histogram, would be a very good choice if VWMACD were a bit too slow in your application. It is the difference between VWMACD and its signal line (the nine-day average of VWMACD). It is a shorter-term, more sensitive indicator than VWMACD. The same procedure can be done on MACD itself. The result is called a MACD histogram and is quite a popular technique. Adjusting %b is the same as adjusting the BandWidth parameter.



Part IV: Bollinger Bands with Indicators

have been under way for a bit before the signal is issued. One approach to avoiding this trap is to wait for a pullback after the signal and then buy the first up day. This will miss some setups, but those remaining will have better risk-reward ratios.

It would be best to test this approach on the types of stocks you actually trade or want to trade, and set the parameters according to the characteristics of those stocks and your own risk-reward criteria. For example, if you traded very volatile growth stocks, you might look at higher levels for the %b (greater than 1 is a possibility), MFI, and Parabolic parameters. Higher levels of all three would pick stronger stocks and accelerate the stops more quickly.1 More risk-averse investors should focus on high Parabolic parameters, while more patient investors anxious to give these trades more time to work out should focus on smaller Parabolic constants, which result in the stop-out level rising more slowly.

A very interesting adjustment is to start the Parabolic not under the entry day as is common, but under the most recent significant low or turning point. For example, in buying a bottom, the Parabolic could be started under the low rather than on the entry day. This has the distinct advantage of capturing the character of the most recent trading. Using the opposite band as an exit allows these trades to develop the most, but it may leave the stop uncomfortably far away for some.

This is worth reiterating: Another variation of this approach is to use these signals as alerts and trade the first pullback after the alert is given (Figure 19.3). This approach will reduce the number of trades-some trades will be missed, but it will also reduce the number of whipsaws. In essence, this is quite a robust method that should be adaptable to a wide variety of trading styles and temperaments.

There is one other idea here that can be important: Rational Analysis. This method buys confirmed strength and sells confirmed weakness. So wouldnt it be a good idea to presort our universe of candidates by fundamental criteria, creating buy lists and sell lists? Then take only buy signals for the stocks on the buy list and sell signals for the stocks on the sell list. Such filtering is beyond the scope of this book, but Rational Analysis, the juncture of the sets of fundamental and technical analysis, offers a robust approach to the problems most investors face. Prescreening



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