Harmonic Breaker Trend Follower

Family: hybrid · Regime: trending · Complexity: high · Asset classes: FX, Equities, Indices · Timeframes: H1, H4

Thesis

Harmonic patterns represent price exhaustion points, but they are prone to failure if traded against the primary trend or during low-volatility 'fakeouts'. By filtering these patterns with Bollinger Band expansion, SMA trend alignment, and ICT-based 'Breaker Block' support/resistance, we can identify high-probability reversal nodes where institutional liquidity is likely to protect the trade.

Components

• Moving Averages (Multi-Method) (regime) — Determines the long-term directional bias to ensure trades align with the prevailing trend.
• Bulls Power (Elder-ray) (direction) — Confirms that momentum is returning in the direction of the trend after a retracement.
• Custom Pattern Detection (entry) — Identifies specific harmonic exhaustion points (CD/DE legs) to trigger entries at high-probability reversal zones.
• Risk Reward Indicator Tool (exit) — Calculates static exit targets based on fixed mathematical ratios to maintain positive expectancy.
• SNAP HTF_LTF Indicator (risk) — Uses 4H Breaker Blocks and Weekly Liquidity pools to set hard stop-loss levels and filter out trades within low-liquidity zones.
• Bollinger Bands (volatility_filter) — Filters out entries during low-volatility 'squeezes' where pattern reliability drops.

Known failure conditions

• Price consistently breaches 4H Breaker Blocks without trend reversal.
• Harmonic patterns frequently fail to reach the 1.5 RR target before hitting the SL.
• High-volatility news events render the fixed Fib ratios of the pattern detector obsolete.

Explore the full interactive blueprint, parameter ranges and evidence on WOBR StrategyVerse, or generate this strategy as an MT4/MT5 Expert Advisor with QuantMogul AI Engine.