Trades gold using Bollinger Band extremes and squeezes
| Strategy Type | Volatility-Based Trading System |
| Market Outlook | Trades gold using Bollinger Band extremes and squeezes |
| Risk Profile | Defined by band positioning and ATR |
| Reward Profile | Mean reversion and breakout opportunities |
| Time Horizon | Day trading to short-term swing (hours to days) |
| Best Markets | Gold futures (GC, MGC), gold CFDs, gold ETFs |
| Signal Type | Band touches, squeezes, walks, and mean reversion |
| Market Hours | Gold futures trade nearly 24 hours - Bollinger Bands work across all sessions |
| Australian Trading Windows | 7:00 AM - 4:00 PM AEST (good for mean reversion) • 5:00 PM - 2:00 AM AEST (breakouts and trends) • 11:30 PM - 6:00 AM AEST (highest volatility) • European and US sessions for breakouts, Asian for mean reversion |
| Gold Contracts | COMEX Gold Futures - 100 oz, $10/tick • Micro Gold Futures - 10 oz, $1/tick • Spot Gold CFD - flexible sizing • SPDR Gold ETF - equity accounts |
| Timeframe Applications | Intraday scalping with BBs • Day trading setups • Short-term swing entries • Swing trading with BBs • Position entries and major setups |
| Bollinger Characteristics Gold | 20 period, 2 standard deviations • 1.5-4% of price • Band width < 2% • Band width > 3.5% |
| Common Parameters | 20 (standard) • 2.0 (standard) • 14 for volatility • 14 for confirmation |
| Australian Considerations | 5-9 PM AEST good for BB breakouts • Often forms during Asian session • European/US sessions • Check at 7 AM AEST after COMEX close |
Standard settings (20-period, 2 standard deviations) work well for gold on most timeframes. For faster trading (5-15 min charts), consider (10, 1.5). For swing trading (daily), (20, 2) or (21, 2) is recommended.
No! Fading band touches (mean reversion) only works in ranging markets. In strong trends, price 'walks' along bands and mean reversion fails. Always identify the market regime first.
A squeeze occurs when bands narrow significantly (low volatility). This often precedes a major breakout. The squeeze itself doesn't predict direction - you wait for price to break out of the bands to determine the trade direction.
Check the middle band slope - flat indicates ranging, steep slope indicates trending. Also observe if price is oscillating between bands (ranging) or walking along one band (trending).
For mean reversion: Wait for a reversal candle (hammer, engulfing) at the band plus RSI confirmation (<35 for longs, >65 for shorts). Don't enter on band touch alone.
W pattern (bullish): First low at/below lower band, rally to middle, second low (often not touching band), buy on break above middle band. M pattern (bearish): Inverse - sell on break below middle band.
Band width = (Upper - Lower) / Middle × 100. Low values (<1.5-2%) indicate squeeze (breakout coming). High values (>3.5%) indicate expansion (may contract). Use it to choose between mean reversion and breakout strategies.
Keep dollar risk constant (1-2%). Wide bands = larger stops = fewer contracts. Narrow bands = tighter stops = more contracts. Formula: Contracts = Risk $ / (Stop distance × point value).
Yes! VWAP provides directional bias (above = bullish, below = bearish). BBs provide timing. Best trades: Long at lower BB when above VWAP, short at upper BB when below VWAP.
When Bollinger Bands contract inside Keltner Channels (which use ATR). This indicates extreme low volatility and often precedes significant breakouts. Many traders use the TTM Squeeze indicator for this.
Analyze: momentum oscillator direction (TTM Squeeze histogram), price position within squeeze (near upper = bullish bias), prior trend direction (continuation more likely), and volume patterns (accumulation vs distribution).
Customize for: specific timeframes (shorter period for faster charts), trading style (tighter bands for more signals), and market conditions (wider bands for volatile periods). Always backtest changes.
Display 1σ, 2σ, and 3σ bands. 1σ = first warning, 2σ = standard signal zone, 3σ = extreme/rare (highest probability reversal). Price at 3σ is statistically rare (<0.3% of time).
Optimize parameters on in-sample data, test on out-of-sample, roll forward and repeat. Aggregating out-of-sample results validates that parameters work on unseen data, avoiding curve-fitting.
Categorize each trade by regime (ranging, trending, squeeze). Track win rate, profit factor, and average R separately for each. This reveals which regimes you trade best and where to improve.
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