Adaptive trend analysis using kernel-weighted regression mathematics.
Applies Gaussian kernel weighting where nearby bars influence more and distant bars fade exponentially, creating ultra-smooth trend lines without fixed-period lag.
Automatic adjustment to local price structure, minimal lag compared to traditional moving averages, dynamic color coding (Lime uptrend, Red downtrend), adjustable bandwidth for responsiveness tuning, flexible lookback window (50-2000 bars), and two-color noise-free design deliver mathematically precise trend identification for traders seeking adaptive smoothing without arbitrary period selection.
FEATURES
Kernel-Weighted Calculation
- Nearby bars influence more, distant bars fade exponentially—no arbitrary fixed periods
- Gaussian kernel weighting for mathematically optimal smoothing
- Automatically adjusts to local price structure without manual recalibration
- Minimal lag: Responds faster to genuine trend changes than equivalent moving averages
Dynamic Color Coding
- Lime: Uptrend
- Red: Downtrend
- Instant visual confirmation of trend direction
- Discontinuous line display: Color changes are instant and visually clear
Adjustable Parameters
- Bandwidth: Fine-tune responsiveness vs. smoothness
- Flexible lookback window: 50-2000 bars to match your timeframe
- Adapts to different market conditions and trading styles
Clean Design
- Two colors, zero clutter—either trending up or trending down
- Noise-free trend identification
- No complex settings required
- Visual simplicity with mathematical precision
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Check out my other indicators—each one built with production-level code quality and practical features traders actually need.
All free to use. But if you feel like sending coffee support, you can route it to tinyurl(dot)com/coffee-supply
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DISCLAIMER
Trading involves risk. This indicator is intended for technical analysis only — always apply proper risk management and trade responsibly.
FEECBACK & IMPROVEMENTS
If you have suggestions, feature requests, or ideas for enhancement, please leave a comment in the Discussion tab. Your feedback helps improve the indicator for everyone.
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