Works in both ranging (mean reversion) and trending (band walks) markets
| Strategy Type | Mean Reversion / Volatility Breakout |
| Market Outlook | Works in both ranging (mean reversion) and trending (band walks) markets |
| Risk Profile | Low-Medium - Clear visual levels with defined risk |
| Reward Profile | 1.5:1 to 2.5:1 risk-reward depending on setup type |
| Time Horizon | Intraday to swing (hours to days) |
| Iv Environment | Mean reversion best in normal volatility; breakouts best after squeeze |
| Breakeven | Entry price plus spread; middle band often serves as profit target |
| Primary Instruments | Brent Crude CFD via IG/CMC/Pepperstone (UKOIL/XBRUSD); Brent futures via IB |
| Asic Compliance | ASIC regulated; CFD leverage limits apply (10:1 max for commodities); retail client protections in place |
| Contract Size | CFD: Typically A$1 per 1 cent move (varies by broker); Futures: 1,000 barrels per contract |
| Trading Hours | CFDs: Near 24 hours Mon-Fri; Bollinger Band strategies work across all sessions |
| Recommended Timeframe | 4H for swing trading; 1H for active trading; Daily for position trading |
| Settlement | CFDs cash settled; positions can be held through band signals |
| Tax Treatment | CFD profits taxed as income (no CGT discount); holding period varies with strategy |
| Bollinger Settings | Default 20 SMA, 2 standard deviations works well for Brent |
| Chess Sponsorship | Not applicable - Bollinger Band trading uses CFDs/futures, not ETFs |
Band touches don't always reverse. Without confirmation (RSI extreme + candle pattern), win rate is near 50%. With confirmation, win rate improves to 60-70%. Also, during band walks, price touches the band repeatedly as part of a trend - confirmation helps avoid these failed mean reversion trades.
4H is recommended for swing trading - provides clear signals with 5-10 setups per week. Daily for fewer, larger trades (position trading). 1H for more active trading but noisier signals. Start with 4H and adjust based on your trading style.
This can happen - it's why we use stop losses. Price can exceed bands and continue (band walk) or temporarily pierce bands before reversing. Stops beyond the band protect you. Accept that not every trade works; the edge comes from proper confirmation and risk management.
Yes, start with defaults. 20-period SMA and 2 standard deviations work well for most markets including Brent. Only adjust after you have experience and understand why you're changing them. During high volatility, consider widening to 2.5 std dev.
Mean reversion: Trade at band extremes expecting price to return to middle (ranging market). Squeeze breakout: Wait for bands to narrow (low volatility), then trade in direction of breakout when bands expand. Different setups for different market conditions.
Look at band slope and previous touches. Band walk: bands sloping in trend direction, price touches same band repeatedly, pullbacks don't reach middle band. Mean reversion: bands relatively flat or parallel, price touches band once then reverses toward middle. If in doubt, check ADX - high ADX (>25) suggests trending (band walk likely).
Wait for squeeze (narrowest bands in 20-50 periods). Don't predict direction - wait for breakout. Enter when price closes outside band with increased volume. Stop at middle band or squeeze midpoint. Target 1.5-2× the squeeze range. Volume confirmation is important for valid breakouts.
Use higher timeframe (Daily) for context - is price near bands? Use signal timeframe (4H) for entry. Best trades: both timeframes at same band extreme. If Daily shows upper band and 4H shows lower band, use caution - mixed signals. Always align with higher timeframe trend for best results.
Widen during high volatility periods (after major news, OPEC decisions, geopolitical events) or when BandWidth is elevated. Wider bands reduce false signals but provide fewer setups. Return to 2.0 when volatility normalizes. Some traders always use 2.5 for more conservative signals.
Primary target should be middle band (higher probability). Option: Exit 50-75% at middle band, trail remainder toward opposite band. Only hold for opposite band if trend supports it (e.g., long from lower band in uptrend). Most mean reversion trades should book profit at middle band.
Collect 2+ years of data. Track: %B at signal, RSI value, candlestick type, outcome (win/loss), profit/loss amount, time to target. Calculate conditional probabilities (e.g., win rate when %B < 0.05 AND RSI < 30). Build scoring model assigning points to each condition. Backtest on out-of-sample data.
BB (20, 2) + Keltner (20 EMA, 1.5 ATR). Squeeze = BB inside KC. Use momentum histogram to anticipate direction (rising = bullish, falling = bearish). Enter on first close outside BB when squeeze releases. Stop at middle band or opposite squeeze boundary. This is more precise than BB-only squeeze detection.
Monitor BandWidth percentile. Low BW (<20%ile): Squeeze regime - focus on breakout trades. High BW (>80%ile): High volatility - widen bands to 2.5 SD, reduce position size. Moderate BW: Normal mean reversion. Also check band slope: flat = mean reversion works; sloped = use trend-following approach.
Regime change from ranging to trending (mean reversion fails in trends). Volatility regime change without adjustment. Over-optimization on historical data. Trading without confirmation (50% win rate not enough). Not adapting to band walks. Monitor regime indicators and adapt approach.
Pine Script for alerts (TradingView). Define rules: %B threshold + RSI threshold + candle pattern recognition. For full automation: Python + broker API. Key components: BB calculation, %B, BandWidth, RSI, pattern detection, position sizing, order management. Start with alerts; graduate to automation after manual validation.
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