The Basics of Bollinger Bands®

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In the 1980s, John Bollinger developed a technical analysis tool using a moving average with two trading bands above and below it. Unlike traditional percentage-based calculations, Bollinger Bands® add and subtract a standard deviation to measure price volatility.

Key Takeaways

Understanding Bollinger Bands®

Bollinger Bands® help traders visualize price volatility and trends. Here’s how they work:

  1. Centerline: Typically a 20-day simple moving average (SMA).
  2. Upper/Lower Bands: Calculated as ±2 standard deviations from the SMA.
  3. Market Behavior:

    • Expansion: Bands widen during high volatility.
    • Contraction: Bands narrow during low volatility, often preceding breakouts.

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How to Draw Bollinger Bands®

  1. Plot the SMA (centerline).
  2. Add upper/lower bands using standard deviations.
  3. Monitor price interactions:

    • Overbought: Frequent upper-band touches.
    • Oversold: Repeated lower-band touches.

Pro Tip: Combine with RSI or MACD for stronger signals.

Practical Examples

Case Study: American Express (AXP)

Case Study: Microsoft (MSFT)

| Scenario | Band Interaction | Implication |
|----------------|------------------|----------------------|
| Overbought | Upper-band touch | Potential sell signal|
| Oversold | Lower-band touch | Potential buy signal |

FAQs

1. What’s the best timeframe for Bollinger Bands®?

2. Can Bollinger Bands® predict reversals?

3. Why do bands contract before breakouts?

4. How reliable are Bollinger Bands® alone?

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Limitations

The Bottom Line

Bollinger Bands® excel at identifying overbought/oversold conditions but thrive when used with complementary tools. By understanding band dynamics, traders can better time entries and exits in volatile markets.

Final Tip: Always backtest strategies to adapt Bollinger Bands® to your trading style.