Bollinger Bands, developed in the 1980s by the renowned trader John Bollinger, are a technical analysis tool that traders use in price charts across various markets to visualise overbought and oversold conditions, market volatility, potential reversals, and trade entry and exit points. The underlying concept is that the price of an asset will revert to its average over time.
Bollinger Bands consist of three lines:
During periods of normal market activity, prices generally remain within the bands. When prices approach or exceed the bands, that indicates heightened volatility and potential trading opportunities.
Bollinger Bands are calculated using the standard deviation (SD) from a simple moving average (SMA). The SMA represents the average price over a specific period, with 20 periods being the default on platforms like TradingView. The SD, which reflects price volatility, is then added to and subtracted from the SMA to form the upper and lower bands, respectively. Consequently, the more the volatility, the wider the bands, while decreased volatility leads to narrower bands.
The Bollinger Bands formula consists of three parts, calculated using a 20-day SMA as the standard:
To interpret Bollinger Bands, traders analyse the expansion and contraction of the bands relative to price movements. Bollinger Bands do not guarantee immediate signal reversals upon touching the bands; rather, they offer insight into potential price extremes and volatility levels.
In times of low volatility, the bands contract, indicating consolidation, known as a "Bollinger squeeze". Traders typically prepare for breakout scenarios during these periods.
Conversely, when volatility increases following a breakout or another similar event, the bands expand. Prices tend to move towards or beyond the bands. A price reaching the upper band signals a potential overbought condition, while touching the lower band suggests the market may be oversold.
"Walking the bands" refers to a price pattern where an asset consistently touches or moves along the outer Bollinger Bands, signalling a strong trend. However, "walking the bands" can also indicate overextension or a trend's potential reversal. Traders often use this concept to gauge momentum and determine whether a market is either "overbought" (walking the upper band) or "oversold" (walking the lower band).
Traders use Bollinger Bands to identify overbought or oversold conditions, monitor volatility, and adjust their position sizes accordingly to manage risk. Common strategies incorporating Bollinger Bands, often combined with additional technical indicators like RSI, MACD, or candlestick patterns for confirmation, include:
The Bollinger Squeeze: This capitalises on the potential for significant breakouts following periods of low volatility, as indicated by contracting bands. Once the price breaks decisively above the upper band or below the lower band, traders enter positions in the direction of the breakout.
Trend Following: In trending markets, traders anticipate price bounces off the MA line towards the outer band. Therefore, they open positions in the direction of the trend (bullish above the SMA and bearish below).
Mean Reversion: In range-bound markets, Bollinger Bands help identify overbought and oversold conditions, signalling potential reversals. Traders may initiate short positions when the price reaches the upper band and long positions when it reaches the lower band.
Bollinger Bands provide an intuitive and effective visual interpretation of volatility, making them accessible to traders of all experience levels. They are versatile, work across multiple timeframes and markets, and assist in anticipating breakouts.
As Bollinger Bands are based on historical price data, they are a lagging indicator, potentially delaying signals, particularly in volatile markets. They can also sometimes generate false signals; price might not always follow through after touching or breaching the bands. Also, prices can frequently stay near the bands during strong trends, causing multiple false reversal signals.
Finally, Bollinger Bands are not effective as standalone indicators and often need additional confirmation tools to validate signals.
Bollinger Bands are valuable technical analysis tools used to visualise market trends and volatility, identify potential reversal points, and determine entry and exit points for trades. They are made up of a central SMA line and two outer bands, positioned two standard deviations away. Traders use them to monitor volatility, adjust position sizes, and anticipate breakouts. However, as lagging indicators based on historical data, they can at times produce false signals - making them most effective when interpreted within a broader market context and supported by additional confirmation tools.
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This information is not to be construed as a recommendation; or an offer to buy or sell; or the solicitation of an offer to buy or sell any security, financial product, or instrument; or to participate in any trading strategy. It has been prepared without taking your objectives, financial situation and needs into account. Any references to past performance and forecasts are not reliable indicators of future results. Axi makes no representation and assumes no liability with regard to the accuracy and completeness of the content in this publication. Readers should seek their own advice.
FAQ
No, Bollinger Bands do not directly predict future prices. Instead, they indicate potential volatility and possible reversals or breakouts.
Yes, Bollinger Bands are widely used in day trading due to their effectiveness in identifying short-term volatility and breakout trading opportunities.
Signals from Bollinger bands are more reliable when combined with additional indicators (RSI, MACD, volume), as the confluence of signals provides stronger confirmation and reduces the risk of false positives.
Yes, traders often experiment with different settings to suit various market conditions and trading styles. For example, shorter SMAs might be used for faster-moving markets or shorter timeframes. Different SD multipliers can also be used to adjust the sensitivity of the bands.
Bandwidth refers to the difference between the upper and lower Bollinger Bands. It provides a quantitative measure of volatility. Bandwidth can be useful for comparing volatility across different assets or time periods, giving traders a more precise understanding of market fluctuations.