Trading Guide
  • 👋 Introduction
  • 📈 Technical Analysis
  • 📙 Vocabulary
  • ⚙️ INDICATORS
    • What Are Indicators
    • Types of Indicators
    • Awesome Oscillator
    • Relative Strength Index (RSI)
    • Moving Averages (SMA, EMA)
    • Moving Average Convergence Divergence (MACD)
    • Moving Average of Oscillator (OsMA)
    • Alligator Indicators
    • Renko Bars
    • Average of ATR
    • Force Index
    • Relative Vigor Index (RVI)
    • Money Flow Index (MFI)
    • Williams Percent Range (WPRange)
    • Zig Zag
    • Market Facilitation Index
    • Commodity Channel Index (CCI)
    • Traders Dynamic Index (TDI)
    • Gator Oscillator Indicator
    • DeMarker
    • Ichimoku Kinko Hyo Indicator
    • Stochastic Oscillator
    • Average Directional Index (ADX)
    • Bollinger Bands
    • Envelopes
    • Fractals
    • Heikin-Ashi / Heikin-Ashi Smoothed
    • Weighted Moving Average (WMA)
    • Linear Weighted Moving Average (LWMA)
    • Murrey Levels
    • Ozymandias Indicator
    • BullsPower / BearsPower
    • Parabolic SAR
    • Standard Deviation
    • Momentum
    • Vortex
    • Accelerator Decelerator Oscillator
  • 🔍 PATTERNS
    • What are Patterns
    • 3 Types of Patterns
    • Double Top / Double Bottom
    • Ascending Triangle / Descending Triangle
    • Symmetrical Triangle
    • Rising Wedge / Falling Wedge
    • Bullish Flag / Bearish Flag
    • Triple Top / Triple Bottom
    • Head and Shoulders
    • Pennant
    • Rectangle
    • Rounding Top / Rounding Bottom
    • Spikes Pattern
    • Island Reversal
    • Cup & Handle
    • Diamond
  • 🧠 STRATEGIES
    • What Are Trading Strategies
    • The Outside Bar trading method
    • Two Stochastics
    • Murray + Trend
    • Ranger
    • Ozy
    • EMA + RVI
    • SMA Tunnel
    • 4UJ
    • The Momentum Elder
    • Envelopes + MACD
    • Parabolic SAR + MACD
    • The Holy Grail
    • The Kumo Breakout
    • The Sidus Approach
    • The Stochastic + Trend Trading Method
    • CDMA
    • BullDozer
    • ZigZag + MA + ZigZag
    • Fractals + OsMA
    • The Puria Method
    • The MACD Profitunity
    • The Rachek’s Method
    • Bollinger Bands Scalp
    • TDI System
    • EMA + Stochastic
    • The Universal Kit
    • Double MACD
    • Sten
    • The Profitunity Trading Approach
    • Sardar
    • For Yen Crosses
    • Over 80
    • Nial Fuller’s Three Oscillators
    • Forex Smart
    • HeikenAshi + TDI
    • Two Groups of SMA
    • CSBB
    • 2×2
    • CAW
    • UMI
  • ⚖️ RISK MANAGEMENT
    • Intro
    • Position sizing
    • Stop-Loss Orders
    • Risk-Reward Ratio
    • Diversification
    • Hedging
    • Trading Psychology
    • 📝 Risk Management Calculator
  • 💡 TIPS
    • 25 Trading Tips
  • ⚠️ INFO
    • Disclaimer
    • Content Used
  • 🔗 LINKS
    • Useful Links
    • 🔒 Algorithmic Trading: How to automate your strategies with trading bots
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On this page
  • How Bollinger Bands Work
  • Reading Bollinger Bands
  • Using Bollinger Bands in Trading
  • Exercise
  1. ⚙️ INDICATORS

Bollinger Bands

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Last updated 4 months ago

Bollinger Bands are a popular technical analysis tool developed by John Bollinger in the 1980s. They consist of three lines plotted on a price chart: a middle band, which is typically a simple moving average (SMA), and two outer bands set at a specific number of standard deviations above and below the middle band. These bands expand and contract based on market volatility, providing a visual representation of price movements.

Traders use Bollinger Bands to identify overbought and oversold conditions in the market. When prices move closer to the upper band, the asset may be considered overbought, suggesting a potential price decline. Conversely, when prices approach the lower band, the asset may be oversold, indicating a possible price increase. Bollinger Bands also help in recognizing periods of high or low volatility, aiding traders in making informed decisions about entering or exiting trades.

How Bollinger Bands Work

Bollinger Bands adjust dynamically to market conditions. The middle band is usually set to a 20-period SMA, providing a baseline for price movements. The outer bands are placed a certain number of standard deviations away from the middle band, commonly set at two standard deviations. This setup ensures that approximately 95% of price movements fall within the bands during normal market conditions.

When the market is volatile, the bands widen to accommodate larger price swings. During periods of low volatility, the bands contract, indicating that significant price movements may be forthcoming. This adaptability makes Bollinger Bands a versatile tool for various trading strategies.

Reading Bollinger Bands

  • Middle Band (SMA). Acts as the primary trend indicator. Prices above the SMA suggest an uptrend, while prices below indicate a downtrend.

  • Upper Band. Represents the overbought level. Prices reaching the upper band may signal a potential pullback or reversal.

  • Lower Band. Represents the oversold level. Prices touching the lower band may indicate a possible bounce or reversal.

  • Band Squeeze. When the bands come close together, it signifies low volatility and a potential breakout in either direction.

  • Band Expansion. When the bands spread apart, it indicates high volatility and the continuation of the current trend.

Using Bollinger Bands in Trading

Bollinger Bands can be integrated into various trading strategies to enhance decision-making:

  • Trend Confirmation. Use the position of the price relative to the middle band to confirm the direction of the trend. For instance, prices consistently above the middle band indicate a strong uptrend.

  • Reversal Signals. Watch for price touches on the upper or lower bands as potential reversal points. Combine this with other indicators like RSI or MACD for stronger signals.

  • Breakout Strategies. When the bands contract, anticipate a breakout. A move above the upper band may suggest a continuation of an uptrend, while a move below the lower band could indicate a continuation of a downtrend.

  • Volatility Assessment. Use the width of the bands to gauge market volatility. Narrow bands suggest a calm market, while wide bands indicate active trading conditions.

Exercise

Objective: Use Bollinger Bands to identify overbought and oversold conditions and make trading decisions on a real asset.

Scenario: Trading EUR/USD on a Daily Chart

  1. Set Up the Indicator:

    • Open your trading platform and select the daily chart for the EUR/USD currency pair.

    • Add Bollinger Bands with the default settings (20-period SMA and 2 standard deviations).

  2. Identify Overbought Conditions:

    • Observe when the price moves close to or touches the upper band.

    • Consider this a signal that the asset might be overbought and a potential price decline could occur.

    • Decide whether to take profits on long positions or look for short opportunities.

  3. Identify Oversold Conditions:

    • Watch for the price approaching or touching the lower band.

    • This may indicate that the asset is oversold and a price increase could follow.

    • Consider entering a long position or exiting short positions based on this signal.

  4. Monitor Volatility:

    • Notice periods when the bands narrow, signaling low volatility.

    • Be prepared for a potential breakout, and watch for price movements above or below the bands to guide your trading actions.

  5. Review Your Trades:

    • Keep track of your buy and sell decisions based on Bollinger Bands signals.

    • Analyze the outcomes to understand how effectively Bollinger Bands are guiding your trades.

    • Adjust your strategy as needed to improve accuracy and profitability.

Practice using Bollinger Bands on different assets and timeframes to become proficient in recognizing their signals and integrating them into your trading approach.