Regression-Linearity Harmonic Exhaustion Strategy
Family: hybrid · Regime: trending · Complexity: medium · Asset classes: FX, Indices, Equities · Timeframes: H1, H4
Thesis
Harmonic patterns are geometric price structures that fail most often when the preceding move is chaotic or parabolic. By using the Standard Error of Regression to ensure the lead-in trend is 'linear' and 'orderly,' we increase the probability that the harmonic 'D' point represents a genuine exhaustion of the prevailing trend rather than a temporary pause in a volatile breakout. Following the daily institutional levels (previous day's high/low) provides a structural anchor for risk that random indicators lack.
Components
- Standard Error of Regression (STDERR) (regime) — Acts as the regime filter; a low STDERR indicates a linear, orderly trend where geometric harmonic patterns are more likely to represent structured exhaustion rather than random volatility.
- Supported matrix.swap_columns (direction) — Used as a technical proxy for price direction; it validates the current candle close against the previous one to ensure immediate price movement aligns with the pattern direction.
- Custom Pattern Detection (Harmonic Designer) (entry) — Identifies structural exhaustion points (XABCD patterns) where price is statistically likely to reverse based on Fibonacci ratios.
- Commodity Channel Index (CCI) (exit) — Used to time the exit; specifically, exiting when momentum returns to mean or reaches an opposite extreme after the harmonic reversal.
- Daily High Low MTF (risk) — Provides objective institutional liquidity levels (Previous Day High/Low) for stop-loss placement and risk-adjusted sizing.
Known failure conditions
- STDERR remains consistently high during trending periods, indicating non-linear (parabolic) movement that breaks harmonic geometry.
- Price ignores Daily High/Low levels during high-impact news events, leading to excessive slippage on stops.
- Harmonic patterns frequently repaint the 'D' point in strong momentum environments without reversal.
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