PINE LIBRARY
已更新 KEAS
Library "KEAS"
⯁ KEAS — Kalman‑Ehlers Adaptive Smoother
◈ Purpose
Produces a low-lag, noise-resistant smoothed price series by fusing two complementary adaptive engines: a Two-State Kalman Filter (position + velocity) and an Ehlers 2-Pole SuperSmoother with adaptive length. A quality-driven weighting layer continuously measures each engine's performance and blends them into a single hybrid output that balances smoothness, lag and responsiveness.
◈ Inputs
⬦ src → Price source (series float). Default: close.
⬦ len → Base smoothing period (int, bars). Default: 34.
◈ Output
⬦ hybrid → Final blended smoother value (float).
◈ Usage Guide
> import ZurvanEG/KEAS/2 as hybrid
> float smooth = hybrid.keas(close, 34)
Returns a clean hybrid smooth with default settings.
◈ Performance Notes
⬥ No arrays or ring buffers — fully recursive, O(1) per bar.
⬥ Kalman 2×2 covariance runs one predict/update cycle per bar.
⬥ SS recursive form: only two previous values required.
⬥ Safe for all timeframes and instruments with no parameter changes.
⯁ KEAS — Kalman‑Ehlers Adaptive Smoother
◈ Purpose
Produces a low-lag, noise-resistant smoothed price series by fusing two complementary adaptive engines: a Two-State Kalman Filter (position + velocity) and an Ehlers 2-Pole SuperSmoother with adaptive length. A quality-driven weighting layer continuously measures each engine's performance and blends them into a single hybrid output that balances smoothness, lag and responsiveness.
◈ Inputs
⬦ src → Price source (series float). Default: close.
⬦ len → Base smoothing period (int, bars). Default: 34.
◈ Output
⬦ hybrid → Final blended smoother value (float).
◈ Usage Guide
> import ZurvanEG/KEAS/2 as hybrid
> float smooth = hybrid.keas(close, 34)
Returns a clean hybrid smooth with default settings.
◈ Performance Notes
⬥ No arrays or ring buffers — fully recursive, O(1) per bar.
⬥ Kalman 2×2 covariance runs one predict/update cycle per bar.
⬥ SS recursive form: only two previous values required.
⬥ Safe for all timeframes and instruments with no parameter changes.
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Pine腳本庫
秉持TradingView一貫精神，作者已將此Pine代碼以開源函式庫形式發佈，方便我們社群中的其他Pine程式設計師重複使用。向作者致敬！您可以在私人專案或其他開源發表中使用此函式庫，但在公開發表中重用此代碼須遵守社群規範。
ZurvanEG
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。