

The Bollinger Bands technical indicator was introduced in the early 1980s by financial analyst and trader John Bollinger. Bollinger Bands are widely recognized as a technical analysis tool that primarily serves as a volatility gauge, indicating whether the market is experiencing heightened or subdued volatility and helping to identify overbought or oversold conditions.
The core concept behind the indicator is to illustrate how prices disperse around an average value. Specifically, the indicator consists of an Upper Band, a Lower Band, and a Moving Average (also known as the Middle Band). The upper and lower bands react to price action by expanding when volatility increases (moving away from the middle line) and contracting when volatility decreases (moving toward the middle line).
The standard Bollinger Bands formula defines the middle line as a 20-day Simple Moving Average (SMA), while the upper and lower bands are calculated based on market volatility relative to the SMA, measured by standard deviation. The default indicator settings are:
The default BB configuration sets a 20-day period and places the upper and lower bands two standard deviations from the middle line. This setup ensures that approximately 85% of price action remains within these bands. However, these parameters are adjustable to accommodate different trading needs and strategies.
While this indicator is commonly used in traditional financial markets, it is equally applicable to cryptocurrency trading. There are several ways to interpret the indicator, but it should not be used as a standalone tool or considered a definitive signal for buying or selling. Instead, use Bollinger Bands alongside other technical indicators.
When price rises above the Moving Average and exceeds the Upper Bollinger Band, the market may be overbought. If price touches the Upper Band multiple times, it often indicates strong resistance.
Conversely, when an asset’s price drops significantly and exceeds or repeatedly touches the Lower Band, the market is likely oversold or has encountered strong support.
Traders can leverage this information by combining BB with other technical indicators to set buy or sell targets and to better identify past overbought and oversold levels.
The expansion and contraction of Bollinger Bands are especially valuable for forecasting periods of high or low volatility. Bands widen as asset prices become more volatile and narrow as volatility decreases.
As such, Bollinger Bands are particularly effective for short-term trading, offering a dynamic view of market volatility and potential price movements. Some traders believe that expanding bands suggest an impending consolidation or trend reversal, while very narrow bands may signal an imminent breakout.
During sideways markets, BB typically tightens around the simple moving average. Generally, low volatility and elevated standard deviation levels precede significant price movements, which tend to occur as volatility returns.
Unlike Bollinger Bands, which use the SMA and standard deviations, the modern Keltner Channels indicator calculates channel width using the Average True Range (ATR) centered around a 20-day Exponential Moving Average (EMA). The Keltner Channels formula is as follows:
Keltner Channels typically feature narrower bands than Bollinger Bands, which makes KC more responsive to identifying trend shifts and overbought or oversold conditions with greater clarity. KC also tends to provide earlier overbought or oversold signals than BB.
In contrast, Bollinger Bands are more effective at representing market volatility because their expansion and contraction are more pronounced. With standard settings, BB is less prone to generating false signals, as its wider bands are harder for prices to breach.
Bollinger Bands are the most widely used of the two in financial markets. Both are effective, particularly for short-term trading, and can be used together to generate more reliable, complementary signals.
Bollinger Bands are a technical analysis tool comprising three lines: the middle line (20-day moving average), the upper line (average plus 2 standard deviations), and the lower line (average minus 2 standard deviations). They measure market volatility and price levels.
Bollinger Bands generate trading signals when price touches the bands. At the lower band, the market is oversold—a potential buy opportunity. At the upper band, the market is overbought—a potential sell opportunity. Band tightening signals low volatility before major price moves. Using Bollinger Bands in combination with RSI increases decision accuracy.
The middle line is the 20-period simple moving average. The upper line represents the expected maximum price (upper fluctuation limit), calculated using standard deviation. The lower line represents the expected minimum price (lower fluctuation limit). When price touches the upper line, it indicates overbought; when it touches the lower line, it indicates oversold.
The default parameters for Bollinger Bands are: a 20-period middle line, a standard deviation multiplier of 2, and closing price as the calculation basis. These settings can be adjusted based on trading strategies and market conditions.
Bollinger Bands measure volatility with dynamic bands, MACD analyzes momentum, and RSI gauges overbought/oversold conditions. Combine them: use Bollinger Bands to assess volatility, MACD to confirm trend, and RSI for precise entry and exit points.
During ranging markets, Bollinger Bands frequently touch their upper and lower limits, which can result in persistent losses. In strongly trending markets, this strategy may miss significant moves or close positions too often, limiting potential gains.











