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Nadaraya-Watson Kernel Regression
「Nadaraya-Watson Kernel Regression」ロゴ
15/11/2025
Desktop
「Nadaraya-Watson Kernel Regression」アップロード画像「Nadaraya-Watson Kernel Regression」アップロード画像「Nadaraya-Watson Kernel Regression」アップロード画像

Adaptive trend analysis using kernel-weighted regression mathematics.


The Nadaraya-Watson Kernel Regression applies Gaussian kernel weighting to price data, creating ultra-smooth trend lines that adapt to market structure without the fixed lag of traditional moving averages.


Perfect For

  • Traders who value clean, noise-free trend identification
  • Structure-based analysis—see true momentum without high-frequency whipsaws
  • Patient hunters waiting for high-probability pullback entries
  • Multi-timeframe trend alignment strategies


What Makes It Different

  • Kernel-weighted calculation: Nearby bars influence more, distant bars fade exponentially—no arbitrary fixed periods
  • Dynamic color coding: Instant visual confirmation of trend direction (Lime = Up, Red = Down)
  • Minimal lag: Responds faster to genuine trend changes than equivalent moving averages
  • Adaptive smoothing: Automatically adjusts to local price structure without manual recalibration
  • Clean design: Just two colors, zero clutter—either trending up or trending down


Key Features

  • Gaussian kernel weighting for mathematically optimal smoothing
  • Adjustable bandwidth: Fine-tune responsiveness vs. smoothness
  • Flexible lookback window: 50-2000 bars to match your timeframe
  • Discontinuous line display: Color changes are instant and visually clear


Mathematical precision meets visual simplicity. No complex settings, just kernel regression and trade.

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