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Joint-state Kalman Filter (Linear / Extended / Unscented)

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Joint-state Kalman Filter (Linear / Extended / Unscented) · JS Kalman

A joint-state price filter — not a typical 1D random-walk smoother. It estimates coupled [level, velocity] (and optionally acceleration) in one shared covariance, so trend tracking and reversal behaviour move together.

Filter types
  • Linear — kinematic Kalman; less lag on trends, can overshoot at sharp reversals (more with C.Accel).
  • Extended — same layout with velocity damping v' = v × (1 − damping × |v|); analytic Jacobian.
  • Unscented — same nonlinearity via sigma points (falls back to Extended if the covariance square root fails).


State models
  • C.Veloc — constant velocity: [level, velocity]
  • C.Accel — constant acceleration: [level, velocity, acceleration] (default)


Switching filter type reuses the same internal state (you may see a one-bar discontinuity).

On the chart
  • Filtered price — teal while rising, red while falling (optional).
  • Candle paint — same trend colours on the bars (optional).


Settings at a glance
  • Model — filter type, state model, source, velocity damping (Extended / Unscented).
  • Noise — process noise per component and measurement noise.
  • Unscented — alpha, beta, kappa (Unscented only).
  • UI — show filtered line, paint candles.



Licence

Indicator and library © igor_sinkovec — Mozilla Public License 2.0.
Nota Keluaran
UI improvements

Ability to choose plot and candle colors.

Penafian

Maklumat dan penerbitan adalah tidak bertujuan, dan tidak membentuk, nasihat atau cadangan kewangan, pelaburan, dagangan atau jenis lain yang diberikan atau disahkan oleh TradingView. Baca lebih dalam Terma Penggunaan.