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.