
John Bollinger, a financial analyst and trader, developed Bollinger Bands in the early 1980s. This technical analysis tool is widely used as an oscillator, helping traders determine whether the market is experiencing high or low volatility and identify overbought or oversold conditions.
The core concept of the BB indicator is to illustrate how prices fluctuate around an average value. The indicator consists of an upper band, a lower band, and a simple moving average (also called the middle band). The upper and lower bands respond to price movements: they expand as volatility increases (moving away from the middle line) and contract as volatility decreases (moving closer to the middle line).
The standard Bollinger Bands formula sets the middle band as a 20-day simple moving average. The upper and lower bands are calculated based on price volatility relative to this SMA, using standard deviation. The standard settings are as follows:
The default BB configuration uses a 20-day period and places the upper and lower bands two standard deviations from the central line. This setting covers at least 85% of price data within the bands. However, these parameters can be tailored to fit different trading needs and strategies.
Bollinger Bands are popular in traditional finance and can also be applied to cryptocurrency trading. There are multiple ways to interpret the BB indicator, but it should not be used as a standalone tool or seen as a sole buy/sell signal. Instead, use BB in conjunction with other technical analysis indicators.
With this approach, traders can interpret Bollinger Bands data in several ways. If the price moves above the moving average and breaks through the upper band, it generally indicates an overbought market. If the price repeatedly touches the upper band, it may signal a strong resistance level.
Conversely, if an asset’s price falls sharply and repeatedly touches or drops below the lower band, the market is likely oversold or approaching a significant support level.
Traders can use BB, along with other technical analysis indicators, to set buy or sell targets and review historical overbought and oversold points in the market.
The expansion and contraction of Bollinger Bands help forecast periods of high or low volatility. Bands expand as price volatility increases and contract as volatility diminishes.
Bollinger Bands are especially effective for short-term trading, offering a way to analyze volatility and anticipate future price moves. Some traders believe that excessive band expansion signals a possible consolidation phase or trend reversal. On the other hand, significant band contraction often suggests the market is preparing for a breakout.
When prices move sideways, BB typically narrows toward the central simple moving average. Often, though not always, periods of low volatility and tight bands precede strong price moves as volatility returns.
Bollinger Bands utilize the SMA and standard deviation, while the modern Keltner Channel employs the Average True Range (ATR) to set channel width on a 20-day exponential moving average. The Keltner Channel formula is as follows:
Keltner Channels are typically narrower than Bollinger Bands, making them potentially better for clearly identifying trend reversals and overbought/oversold conditions. KC generally signals these conditions ahead of BB.
In contrast, Bollinger Bands provide a broader measure of market volatility, with their expansions and contractions more pronounced than those of KC. Because BB uses standard deviation, it is less prone to false signals—its wider bands are harder to breach.
Among the two, Bollinger Bands are more widely used. Both indicators are effective for short-term trading and can be combined for more reliable and accurate signals.
Bollinger Bands are a technical indicator that measures market volatility. They consist of three lines: a central moving average and two bands that widen or narrow with volatility, helping traders spot overbought or oversold conditions.
Bollinger Bands use a 20-period moving average as the central band. The upper band is calculated by adding two standard deviations to this average; the lower band subtracts two standard deviations. These bands reflect price volatility.
The standard configuration uses a 20-period simple moving average as the central band, with the upper and lower bands set two standard deviations from the mean.
Buy when the price touches the lower band (oversold); sell when it reaches the upper band (overbought). Combine this with trading volume for confirmation and avoid using it alone in sideways markets.
Touching the upper band signals an overbought condition and a possible downward correction. Hitting the lower band suggests oversold status and a potential upward bounce. Both are trend reversal signals.
The width between the upper and lower bands measures volatility. Wider bands indicate higher volatility, while narrowing bands suggest lower volatility and potential price moves ahead.
Bollinger Bands can produce false signals and are susceptible to market noise. They do not guarantee accuracy and may underperform in weak trends. Proper interpretation requires experience and supporting analysis.
Use Bollinger Bands with RSI to confirm oversold/overbought conditions, or with MACD to validate trend changes. Moving averages can also help clarify overall market direction and improve trading signal accuracy.











