Three-Line Structural Kalman Trend System

Family: hybrid · Regime: trending · Complexity: high · Asset classes: Equities, Crypto (Major Pairs), Forex · Timeframes: H1, H4, D1

Thesis

Sustainable market trends are characterized by 'clean' price breaks (Three-Line Break) and structural confirmation (ZigZag pivots), but these signals are only reliable when backed by institutional volume (KVO) and occurring during periods where the asset's relationship with its benchmark (Kalman Spread) is stable. By avoiding entries when the statistical spread is overextended, we bypass 'exhaustion' moves.

Components

• Three-Line Break (TLB) with MA (regime) — Used as a noise-reduction regime filter; ensures the market has moved significantly enough to negate 'price churn' before considering entries.
• ZigZag+ v5 (direction) — Confirms market structure; entries are only valid if the most recent confirmed pivot aligns with the trend (HH/HL for longs).
• Klinger Volume Oscillator (KVO) (entry) — Provides the final trigger by confirming that price movement is backed by volume accumulation/distribution.
• HiLo Activator 02 (exit) — Acts as a trend-following exit trigger that adjusts based on recent highs/lows, providing a 'staircase' buffer.
• Parabolic SAR (risk) — Determines the hard stop-loss and dynamically adjusts position sizing based on current volatility-adjusted distance.
• AI Pair Trading System v1.0 (volatility_filter) — Serves as a volatility/stability filter. High Z-scores in the Kalman spread between correlated assets often precede erratic volatility; we trade only when the spread is mean-reverting.

Known failure conditions

• Persistent sideways price action where TLB flips frequently while ZigZag remains unconfirmed.
• Complete decoupling of the pair used in the AI Volatility filter (e.g., ETHBTC trend diverges indefinitely).
• High-frequency news events that trigger PSAR stops before the KVO volume flow can materialize.

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