OPEN-SOURCE SCRIPT
Kernel Weighted DMI | QuantEdgeB

๐ Introducing Kernel Weighted DMI (K-DMI) by QuantEdgeB
๐ ๏ธ Overview
K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal.
Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal.
โจ Key Features
๐น Kernel Smoothing Engine
Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity.
๐น Dynamic Trend Signal
Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ยฑ1).
๐น Visual Encoding
Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension.
๐น Multi-Mode Plotting
Optional moving average overlays visualize structure and compression/expansion within price action.
๐ How It Works
1๏ธโฃ Directional Movement Index (DMI)
Calculates the traditional +DI and -DI differential to derive directional bias.
2๏ธโฃ Kernel-Based Smoothing
Applies a custom-weighted average across historical DMI values using one of three smoothing methods:
โข Linear โ Simple tapering weights
โข Exponential โ Decay curve for recent emphasis
โข Gaussian โ Bell-shaped weight for centered precision
3๏ธโฃ Signal Generation
โข โ Long โ Signal > Long Threshold (default: +1)
โข โ Short โ Signal < Short Threshold (default: -1)
Additional overlays signal potential compression zones or trend resumption using gradient and line fills.
โ๏ธ Custom Settings
โข DMI Length: Default = 7
โข Kernel Type: Options โ Linear, Exponential, Gaussian (Def:Linear)
โข Kernel Length: Default = 25
โข Long Threshold: Default = 1
โข Short Threshold: Default = -1
โข Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic
โข Show Labels: Optional entry signal labels (Long/Short)
โข Enable Extra Plots: Toggle MA overlays and dynamic bands
๐ฅ Who Is It For?
โ Trend Traders โ Identify sustained directional bias with smoother signal lines
โ Quant Analysts โ Leverage advanced smoothing models to enhance data clarity
โ Discretionary Swing Traders โ Visualize clean breakouts or fades within choppy zones
โ MA Compression Traders โ Use overlay MAs to detect expansion opportunities
๐ Conclusion
Kernel Weighted DMI is the evolution of classic momentum trackingโmerging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis.
๐น Key Takeaways:
1๏ธโฃ Smoothed and stabilized DMI for reliable trend signal generation
2๏ธโฃ Optional Gaussian/exponential weighting for adaptive responsiveness
3๏ธโฃ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity
๐ Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
๐ Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
๐ ๏ธ Overview
K-DMI is a next-gen momentum indicator that combines the traditional Directional Movement Index (DMI) with advanced kernel smoothing techniques to produce a highly adaptive, noise-resistant trend signal.
Unlike standard DMI that can be overly reactive or choppy in consolidation phases, K-DMI applies kernel-weighted filtering (Linear, Exponential, or Gaussian) to stabilize directional movement readings and extract a more reliable momentum signal.
โจ Key Features
๐น Kernel Smoothing Engine
Smooths DMI using your choice of kernel (Linear, Exponential, Gaussian) for flexible noise reduction and clarity.
๐น Dynamic Trend Signal
Generates real-time long/short trend bias based on signal crossing upper or lower thresholds (defaults: ยฑ1).
๐น Visual Encoding
Includes directional gradient fills, candle coloring, and momentum-based overlays for instant signal comprehension.
๐น Multi-Mode Plotting
Optional moving average overlays visualize structure and compression/expansion within price action.
๐ How It Works
1๏ธโฃ Directional Movement Index (DMI)
Calculates the traditional +DI and -DI differential to derive directional bias.
2๏ธโฃ Kernel-Based Smoothing
Applies a custom-weighted average across historical DMI values using one of three smoothing methods:
โข Linear โ Simple tapering weights
โข Exponential โ Decay curve for recent emphasis
โข Gaussian โ Bell-shaped weight for centered precision
3๏ธโฃ Signal Generation
โข โ Long โ Signal > Long Threshold (default: +1)
โข โ Short โ Signal < Short Threshold (default: -1)
Additional overlays signal potential compression zones or trend resumption using gradient and line fills.
โ๏ธ Custom Settings
โข DMI Length: Default = 7
โข Kernel Type: Options โ Linear, Exponential, Gaussian (Def:Linear)
โข Kernel Length: Default = 25
โข Long Threshold: Default = 1
โข Short Threshold: Default = -1
โข Color Mode: Strategy, Solar, Warm, Cool, Classic, Magic
โข Show Labels: Optional entry signal labels (Long/Short)
โข Enable Extra Plots: Toggle MA overlays and dynamic bands
๐ฅ Who Is It For?
โ Trend Traders โ Identify sustained directional bias with smoother signal lines
โ Quant Analysts โ Leverage advanced smoothing models to enhance data clarity
โ Discretionary Swing Traders โ Visualize clean breakouts or fades within choppy zones
โ MA Compression Traders โ Use overlay MAs to detect expansion opportunities
๐ Conclusion
Kernel Weighted DMI is the evolution of classic momentum trackingโmerging traditional DMI logic with adaptable kernel filters. It provides a refined lens for trend detection, while optional visual overlays support price structure analysis.
๐น Key Takeaways:
1๏ธโฃ Smoothed and stabilized DMI for reliable trend signal generation
2๏ธโฃ Optional Gaussian/exponential weighting for adaptive responsiveness
3๏ธโฃ Custom gradient fills, dynamic MAs, and candle coloring to support visual clarity
๐ Disclaimer: Past performance is not indicative of future results. No trading strategy can guarantee success in financial markets.
๐ Strategic Advice: Always backtest, optimize, and align parameters with your trading objectives and risk tolerance before live trading.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
For quick access on a chart, add this script to your favorites โ learn more here.
๐น Get access to our premium tools:
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๐น Unlock our free toolbox:
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Disclaimer: All resources and indicators provided are for educational purposes only
whop.com/quantedgeb/ ๐
๐น Unlock our free toolbox:
tradinglibrary.carrd.co/ ๐ ๏ธ
Disclaimer: All resources and indicators provided are for educational purposes only
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.
Open-source script
In true TradingView spirit, the creator of this script has made it open-source, so that traders can review and verify its functionality. Kudos to the author! While you can use it for free, remember that republishing the code is subject to our House Rules.
For quick access on a chart, add this script to your favorites โ learn more here.
๐น Get access to our premium tools:
whop.com/quantedgeb/ ๐
๐น Unlock our free toolbox:
tradinglibrary.carrd.co/ ๐ ๏ธ
Disclaimer: All resources and indicators provided are for educational purposes only
whop.com/quantedgeb/ ๐
๐น Unlock our free toolbox:
tradinglibrary.carrd.co/ ๐ ๏ธ
Disclaimer: All resources and indicators provided are for educational purposes only
Disclaimer
The information and publications are not meant to be, and do not constitute, financial, investment, trading, or other types of advice or recommendations supplied or endorsed by TradingView. Read more in the Terms of Use.