Short Answer
Bollinger Bands consist of three lines: an upper band, a middle band (typically 20-period SMA), and a lower band. The bands expand and contract with volatility. When price touches the upper band, it may be overbought. When price touches the lower band, it may be oversold. Band squeezes (narrow bands) often precede significant price moves.
Detailed Explanation
Bollinger Bands Structure
Middle Band:
- Typically 20-period Simple Moving Average
- Represents average price
- Shows trend direction
- Acts as support/resistance
Upper Band:
- Middle band + (2 × Standard Deviation)
- Upper volatility boundary
- Overbought zone
- Potential resistance
Lower Band:
- Middle band - (2 × Standard Deviation)
- Lower volatility boundary
- Oversold zone
- Potential support
How Bollinger Bands Work
Volatility Measurement:
- Standard deviation measures volatility
- High volatility = wide bands
- Low volatility = narrow bands
- Bands adapt to market conditions
Price Position:
- Price near upper band = potentially overbought
- Price near lower band = potentially oversold
- Price near middle band = neutral
How to Use Bollinger Bands
1. Overbought/Oversold Signals
Overbought Signal:
- Price touches or exceeds upper band
- Potential sell signal
- Wait for confirmation
- Consider taking profits
Oversold Signal:
- Price touches or exceeds lower band
- Potential buy signal
- Wait for confirmation
- Consider buying opportunities
2. Band Squeezes
What It Is:
- Bands contract (narrow)
- Low volatility period
- Often precedes big moves
- Breakout opportunity
Trading:
- Watch for squeeze
- Prepare for breakout
- Enter on breakout direction
- Use stop loss
3. Band Width
Wide Bands:
- High volatility
- Strong trends
- Hold positions
- Monitor for reversal
Narrow Bands:
- Low volatility
- Consolidation
- Prepare for breakout
- Watch for expansion
4. Mean Reversion
Strategy:
- Buy when price touches lower band
- Sell when price touches upper band
- Target middle band
- Works in ranging markets
Trading Strategies
1. Mean Reversion Strategy
Entry:
- Buy when price touches lower band
- Sell when price touches upper band
Exit:
- Target middle band
- Use stop loss beyond bands
- Consider risk/reward
2. Breakout Strategy
Entry:
- Watch for band squeeze
- Enter on breakout direction
- Confirm with volume
Exit:
- Opposite band touch
- Use trailing stops
- Monitor for reversal
3. Trend Following Strategy
Entry:
- Buy when price bounces off lower band in uptrend
- Sell when price bounces off upper band in downtrend
Exit:
- Opposite band touch
- Use trailing stops
- Monitor trend changes
Bollinger Bands Settings
Default Settings
- Period: 20
- Standard Deviation: 2
- Moving Average: SMA
Custom Settings
Tighter Bands (1.5 SD):
- More signals
- More false signals
- Better for active trading
Wider Bands (2.5 SD):
- Fewer signals
- More reliable signals
- Better for conservative trading
Common Mistakes
Mistake 1: Trading Every Touch
Problem: Taking every band touch signal
Solution: Use Bollinger Bands with other indicators and context
Mistake 2: Ignoring Trend
Problem: Trading mean reversion in trends
Solution: Use trend-following strategy in trends
Mistake 3: Ignoring Squeezes
Problem: Missing breakout opportunities
Solution: Watch for band squeezes and prepare for breakouts
Mistake 4: Ignoring Context
Problem: Trading bands in isolation
Solution: Combine with price action and other indicators
Best Practices
1. Combine with Other Indicators
- Use with RSI for confirmation
- Confirm with volume
- Check market structure
- Verify with patterns
2. Use Appropriate Settings
- Match settings to timeframe
- Adjust for market conditions
- Test different settings
- Find what works for you
3. Wait for Confirmation
- Don't trade on bands alone
- Wait for price confirmation
- Confirm with other indicators
- Consider market context
4. Manage Risk
- Use proper stop losses
- Size positions appropriately
- Consider risk/reward
- Have exit strategies
Bollinger Bands in VaultCharts
VaultCharts provides:
- Standard Bollinger Bands indicator
- Customizable settings
- Band width analysis
- Squeeze detection
- Real-time updates