Bollinger Bands Explained

Bollinger Bands Explained
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What are Bollinger Bands? 

The Bollinger Bands (BB) were created in the early 1980s by financial analyst and trader John Bollinger. Bollinger Bands are broadly used as an instrument for technical analysis (TA), which is basically an oscillator measurer that indicates whether the market has high or low volatility and also overbought or oversold conditions.

The main idea behind the BB indicator is to highlight how prices are dispersed around an average value. More specifically, the indicator is composed of an upper band, a lower band, and a middle moving average line (also referred to as middle band). The two sidelong bands react to the market price action, expanding when the volatility is high (moving away from the middle line) and contracting when volatility is low (moving towards the middle line).

The standard Bollinger Bands formula sets the middle line as a 20-day simple moving average (SMA), while the upper and lower bands are calculated based on the market volatility in relation to the SMA (which is referred to as standard deviation). The standard settings for the Bollinger Bands indicator would look like this:

  • Middle line: 20-day simple moving average (SMA)

  • Upper band: 20-day SMA + (20-day standard deviation x2)

  • Lower band: 20-day SMA - (20-day standard deviation x2)

The standard BB setting acknowledges a 20-day period and set the upper and lower bands to two standard deviations (x2) away from the middle line. This is done to ensure that at least 85% of the price data will be moving in between these two bands, but the settings may be adjusted according to different needs and trading strategies.

How to use Bollinger Bands in trading?

Although the Bollinger Bands are widely used in traditional financial markets, they may also be used for cryptocurrency trading setups. Naturally, there are various ways to use and interpret the BB indicator, but one should avoid using Bollinger Bands as a stand-alone instrument and it should not be considered an indicator of buying/selling opportunities. Instead, BB should be used along with other technical analysis indicators. 

With that in mind, let’s imagine how one could potentially interpret the data provided by the Bollinger Bands indicator.

If the price makes its way above the moving average and exceeds the upper Bollinger band, it is probably safe to assume that the market is overextended (overbought condition). Or else, if the price touches the upper band multiple times, it may indicate a significant resistance level.

In contrast, if the price of certain asset drops significantly and exceeds or touches the lower band multiple times, chances are the market is either oversold or found a strong support level.

Therefore, traders may use BB (along with other TA indicators) to set their selling or buying targets. Or also to get an overview of the previous points where the market presented overbought and oversold conditions.

In addition, the Bollinger Bands expansion and contraction may be useful when trying to predict moments of high or low volatility. The bands can either move away from the middle line as the price of the asset becomes more volatile (expansion) or move towards it as the price becomes less volatile (contraction).

Therefore, the Bollinger Bands are better suited for short-term trading as a way to analyze the market’s volatility and try to predict forthcoming movements. Some traders assume that when the bands are over-expanded, the current market trend may be close to a consolidation period or a trend reversal. Alternatively, when the bands get too tight, traders tend to assume that the market is getting ready to make an explosive movement.

When the market price is moving sideways, the BB tends to narrow towards the simple moving average line in the middle. Usually (but not always), low volatility and tight deviation levels precede large and explosive movements, which tend to occur as soon as the volatility picks back up.

Bollinger Bands vs Keltner Channels 

Unlike Bollinger Bands, that is based on SMA and standard deviations, the modern version of the Keltner Channels (KC) indicator makes use of the Average True Range (ATR) to set the channel width around a 20-day exponential moving average (EMA). Hence, the Keltner Channel formula would look like this:

  • Middle line: 20-day exponential moving average (EMA)

  • Upper channel line: 20-day EMA + (10-day ATR x2)

  • Lower band: 20-day EMA - (10-day ATR x2)

Typically, the Keltner Channels indicator tends to be tighter than Bollinger bands. Consequently, it may be better suited than BB for spotting trend reversals and overbought/oversold market conditions in a more clear and obvious way. In addition, the KC indicator usually provides the overbought/oversold signal earlier than BB. 

On the other hand, the Bollinger Bands tend to represent market volatility better since the expansion and contraction movements are much wider and explicit when compared to KC. Moreover, by using standard deviations, the BB indicator is less likely to provide fake signals, since its width is larger and, thus, harder to be exceeded.

Between BB and KC, Bollinger Bands is the more popular one. However, both indicators are good - especially for short-term trading setups - and may also be used together in order to provide more reliable signals.