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.
版本注释
v2版本注释
v3Pine脚本库
秉承TradingView的精神，作者已将此Pine代码作为开源库发布，以便我们社区的其他Pine程序员可以重用它。向作者致敬！您可以私下或在其他开源出版物中使用此库，但在出版物中重用此代码须遵守网站规则。
ZurvanEG
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。
Pine脚本库
秉承TradingView的精神，作者已将此Pine代码作为开源库发布，以便我们社区的其他Pine程序员可以重用它。向作者致敬！您可以私下或在其他开源出版物中使用此库，但在出版物中重用此代码须遵守网站规则。
ZurvanEG
免责声明
这些信息和出版物并非旨在提供，也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。