Bollinger band chart. But they weren't “Bollinger Bands” yet, that would come later when Bill Griffeth, an on-air host for the Financial News Network, asked me what I called my bands on air. I had presented a chart showing an unconfirmed tag of my upper band and explained that the first down day would generate a sell signal. Bill then asked me.

Bollinger band chart

How to profit from EURUSD 15 minute charts using Bollinger Bands...

Bollinger band chart. Bollinger Bands are powerful signals. Here are two great strategies, for Bollinger Band Squeezes and Bollinger Band Trends.

Bollinger band chart


Volatility is based on the standard deviation , which changes as volatility increases and decreases. The bands automatically widen when volatility increases and narrow when volatility decreases. This dynamic nature of Bollinger Bands also means they can be used on different securities with the standard settings.

Click here to download this spreadsheet example. Bollinger Bands consist of a middle band with two outer bands. The middle band is a simple moving average that is usually set at 20 periods. A simple moving average is used because the standard deviation formula also uses a simple moving average. The look-back period for the standard deviation is the same as for the simple moving average.

The outer bands are usually set 2 standard deviations above and below the middle band. Settings can be adjusted to suit the characteristics of particular securities or trading styles. Bollinger recommends making small incremental adjustments to the standard deviation multiplier. Changing the number of periods for the moving average also affects the number of periods used to calculate the standard deviation. Therefore, only small adjustments are required for the standard deviation multiplier.

An increase in the moving average period would automatically increase the number of periods used to calculate the standard deviation and would also warrant an increase in the standard deviation multiplier. Bollinger suggests increasing the standard deviation multiplier to 2. W-Bottoms were part of Arthur Merrill's work that identified 16 patterns with a basic W shape.

In particular, Bollinger looks for W-Bottoms where the second low is lower than the first but holds above the lower band. There are four steps to confirm a W-Bottom with Bollinger Bands. First, a reaction low forms. This low is usually, but not always, below the lower band. Second, there is a bounce towards the middle band. Third, there is a new price low in the security. This low holds above the lower band. The ability to hold above the lower band on the test shows less weakness on the last decline.

Fourth, the pattern is confirmed with a strong move off the second low and a resistance break. First, the stock formed a reaction low in January black arrow and broke below the lower band.

Second, there was a bounce back above the middle band. Third, the stock moved below its January low and held above the lower band. Even though the 5-Feb spike low broke the lower band, Bollinger Bands are calculated using closing prices so signals should also be based on closing prices. Fourth, the stock surged with expanding volume in late February and broke above the early February high.

M-Tops were also part of Arthur Merrill's work that identified 16 patterns with a basic M shape. According to Bollinger, tops are usually more complicated and drawn out than bottoms.

Double tops, head-and-shoulders patterns, and diamonds represent evolving tops. In its most basic form, an M-Top is similar to a double top. However, the reaction highs are not always equal.

The first high can be higher or lower than the second high. Bollinger suggests looking for signs of non-confirmation when a security is making new highs. This is basically the opposite of the W-Bottom. A non-confirmation occurs with three steps. First, a security creates a reaction high above the upper band. Second, there is a pullback towards the middle band.

Third, prices move above the prior high but fail to reach the upper band. This is a warning sign. The inability of the second reaction high to reach the upper band shows waning momentum, which can foreshadow a trend reversal. Final confirmation comes with a support break or bearish indicator signal. The stock moved above the upper band in April. There was a pullback in May and then another push above Even though the stock moved above the upper band on an intraday basis, it did not CLOSE above the upper band.

The M-Top was confirmed with a support break two weeks later. Also, notice that MACD formed a bearish divergence and moved below its signal line for confirmation. Price exceeded the upper band in early September to affirm the uptrend. After a pullback below the day SMA middle Bollinger Band , the stock moved to a higher high above Despite this new high for the move, price did not exceed the upper band. This flashed a warning sign. The stock broke support a week later and MACD moved below its signal line.

Notice that this M-top is more complex because there are lower reaction highs on either side of the peak blue arrow. This evolving top formed a small head-and-shoulders pattern. Moves above or below the bands are not signals per se. On the face of it, a move to the upper band shows strength, while a sharp move to the lower band shows weakness. Momentum oscillators work much the same way.

Overbought is not necessarily bullish. It takes strength to reach overbought levels and overbought conditions can extend in a strong uptrend. Think about it for a moment. The upper band is 2 standard deviations above the period simple moving average. It takes a pretty strong price move to exceed this upper band. An upper band touch that occurs after a Bollinger Band confirmed W-Bottom would signal the start of an uptrend. Just as a strong uptrend produces numerous upper band tags, it is also common for prices to never reach the lower band during an uptrend.

The day SMA sometimes acts as support. In fact, dips below the day SMA sometimes provide buying opportunities before the next tag of the upper band.

First, notice that this is a strong surge that broke above two resistance levels. A strong upward thrust is a sign of strength, not weakness. Trading turned flat in August and the day SMA moved sideways.

Prices and the day SMA turned up in September. Overall, APD closed above the upper band at least five times over a four month period. Dips below are deemed oversold and moves back above signal the start of an oversold bounce green dotted line.

The upper band tag and breakout started the uptrend. CCI then identified tradable pullbacks with dips below This is an example of combining Bollinger Bands with a momentum oscillator for trading signals. Chart 7 shows Monsanto MON with a walk down the lower band. The stock broke down in January with a support break and closed below the lower band. From mid-January until early May, Monsanto closed below the lower band at least five times. Notice that the stock did not close above the upper band once during this period.

The support break and initial close below the lower band signaled a downtrend. This system triggered two good signals in early As such, they can be used to determine if prices are relatively high or low. Technically, prices are relatively high when above the upper band and relatively low when below the lower band. However, relatively high should not be regarded as bearish or as a sell signal. Likewise, relatively low should not be considered bullish or as a buy signal.

Prices are high or low for a reason. As with other indicators, Bollinger Bands are not meant to be used as a stand-alone tool. Chartists should combine Bollinger Bands with basic trend analysis and other indicators for confirmation. Bollinger Bands can be found in SharpCharts as a price overlay. As with a simple moving average, Bollinger Bands should be shown on top of a price plot. Upon selecting Bollinger Bands, the default setting will appear in the parameters window 20,2.

The first number 20 sets the periods for the simple moving average and the standard deviation. The second number 2 sets the standard deviation multiplier for the upper and lower bands.

Users can change the parameters to suit their charting needs. Click here for a live example. This scan finds stocks that have just moved above their upper Bollinger Band line.


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