Implication Bullish: When the price closes more than 2 standard deviations below the 20 period moving average of price, a bullish event is generated.
Bearish: When the price closes more than 2 standard deviations above the 20 period moving average of price, a bearish event is generated.
Trading Central identifies a Bollinger band event based on a condition of price over-extension leading to an expectation of reversal. Some enhanced interpretations of Bollinger bands require secondary inputs such as RSI to validate a continuation or reversal position strategy. Refer to the Trading Considerations section below for further information regarding enhanced strategies for Bollinger bands.
Description Developed in the early 1980's by John Bollinger, Bollinger bands were one of the first adaptive volatility envelope tools. Rather than fixed percentage envelopes being drawn above and below the moving average, Bollinger bands are calculated based on the standard deviation of an instrument's closing price.
Bollinger bands use standard deviation and a simple moving average to help traders determine buy and sell events, or to help confirm other patterns. A price chart that uses Bollinger bands displays four lines; price, the upper and lower Bollinger bands, and the moving average.
The upper and lower Bollinger bands typically appear 2 standard deviations above and below the 20-day moving average. Trading Central supports these typical settings.
For shorter-term trends, some technical analysts prefer 1 1/2 standard deviations with a 10-day moving average. For longer-term trends, a 2 1/2 standard 50-day moving average may better suit their purposes.
The purpose of Bollinger bands is to provide an indication of high and low price range. By definition prices will be high at the upper band and low at the lower band. Price tends to bounce between the upper and lower Bollinger bands, but touches or penetrations can be tradable. The expansion or contraction of the band's width around the moving average indicates periods of high or low volatility respectively. |