<p><strong>Bollinger Bands</strong> are a volatility‑based technical indicator that consists of a middle moving average and two outer bands placed a set number of standard deviations away from that average. Developed by John Bollinger in the 1980s, the tool helps traders gauge market volatility, spot overbought or oversold conditions, and identify potential price breakouts or reversals. It is widely used on platforms such as <strong>MetaTrader 5</strong> and can be applied to forex, commodities, indices, and cryptocurrencies.</p>

<h2>How It Works</h2>
<p>The indicator has three components:</p>
<ul>
<li><strong>Middle band</strong> – a simple moving average (SMA), typically over 20 periods.</li>
<li><strong>Upper band</strong> – the SMA plus two times the <strong>standard deviation</strong> of price over the same period.</li>
<li><strong>Lower band</strong> – the SMA minus two times the standard deviation.</li>
</ul>
<p>Standard deviation measures how tightly prices cluster around the average. When volatility rises, the bands widen; when volatility falls, they contract. Price tends to stay within the bands about 95 % of the time if the distribution is normal. A move outside the bands signals an extreme price move that may precede a reversal or continuation, depending on other market context.</p>
<p>Traders often watch for <strong>band squeezes</strong> – periods when the bands narrow sharply – as a precursor to increased volatility and possible breakout. Conversely, <strong>band expansion</strong> after a squeeze can confirm the start of a new trend.</p>

<h2>Why It Matters for Traders</h2>
<p>Bollinger Bands provide a visual framework for assessing whether prices are relatively high or low compared to recent history. This helps in:</p>
<ul>
<li>Identifying overbought conditions when price touches or exceeds the upper band.</li>
<li>Spotting oversold conditions when price reaches or falls below the lower band.</li>
<li>Detecting trend strength; in a strong uptrend, price often rides the upper band, while in a downtrend it lingers near the lower band.</li>
<li>Setting stop‑loss or profit‑target levels based on band width.</li>
<li>Combining with other indicators such as the <strong>RSI</strong> to filter false signals.</li>
</ul>
<p>Because the bands adapt to changing volatility, they remain effective across different timeframes and asset classes, making them a versatile tool for both day traders and swing traders.</p>

<h2>Example</h2>
<p>Assume a 20‑period SMA of EUR/USD is 1.0800 and the 20‑period standard deviation is 0.0050. The upper band is calculated as 1.0800 + (2 × 0.0050) = 1.0890. The lower band is 1.0800 − (2 × 0.0050) = 1.0710.</p>
<p>If the current price rises to 1.0900, it breaks above the upper band, suggesting an overbought extreme. A trader might look for a bearish candlestick pattern or a divergence in <a href="/NewSite/encyclopedia/rsi/" class="ency-link">RSI</a> before considering a short position. If the price later falls to 1.0690, it pierces the lower band, indicating an oversold condition that could precede a bounce.</p>

<h2>Key Takeaways</h2>
<ul>
<li>Bollinger Bands combine a moving average with volatility‑based upper and lower limits.</li>
<li>Band width expands with rising volatility and contracts during calm periods.</li>
<li>Price touches outside the bands can signal overbought/oversold conditions or imminent breakouts.</li>
<li>Use the indicator alongside other tools like RSI for confirmation and better trade timing.</li>
</ul>