OPEN-SOURCE SCRIPT
ML Kernel Regression + EMA Trend
// This work is based on concepts by Uptrick
// Modified and updated by marjyhen1921
[ML] Nadaraya-Watson Kernel Regression (Multi-EMA Filter Edition)
Overview
This indicator features a Non-Parametric Machine Learning estimator based on the Nadaraya-Watson (NW) Kernel Regression. Unlike traditional moving averages that rely on fixed time-windows, this model uses a Gaussian Kernel to assign weights to historical data points, effectively estimating the underlying price trend with minimal lag.
Credits & Inspiration
Special thanks to Uptrick for the original logic and the machine learning concepts that inspired this implementation. This version has been refined for Pine Script V6 with added multi-filter flexibility.
What’s New:
Triple EMA Filter System: To help traders avoid "whipsaws" in sideways markets, I have integrated independent toggles for EMA 9, EMA 20, and EMA 50.
Default "No Filter" Mode: The script starts with all filters disabled, allowing for pure ML signal analysis out of the box.
Dynamic Volatility Bands: The bands are calculated based on the standard deviation of residuals (price error relative to the kernel), providing a "confidence interval" for price movement.
How to Use:
Mean Reversion: Trade the "B" (Buy) and "S" (Sell) labels when price breaks out of the upper/lower bands and the kernel flips color.
Trend Alignment: In the settings, enable the EMA filter of your choice. A Buy signal will only trigger if the price is above your selected EMA; a Sell signal will only trigger if it is below.
Customization: Use the "Visuals" section to show or hide the EMA lines and change the lookback windows to fit your timeframe.
// Modified and updated by marjyhen1921
[ML] Nadaraya-Watson Kernel Regression (Multi-EMA Filter Edition)
Overview
This indicator features a Non-Parametric Machine Learning estimator based on the Nadaraya-Watson (NW) Kernel Regression. Unlike traditional moving averages that rely on fixed time-windows, this model uses a Gaussian Kernel to assign weights to historical data points, effectively estimating the underlying price trend with minimal lag.
Credits & Inspiration
Special thanks to Uptrick for the original logic and the machine learning concepts that inspired this implementation. This version has been refined for Pine Script V6 with added multi-filter flexibility.
What’s New:
Triple EMA Filter System: To help traders avoid "whipsaws" in sideways markets, I have integrated independent toggles for EMA 9, EMA 20, and EMA 50.
Default "No Filter" Mode: The script starts with all filters disabled, allowing for pure ML signal analysis out of the box.
Dynamic Volatility Bands: The bands are calculated based on the standard deviation of residuals (price error relative to the kernel), providing a "confidence interval" for price movement.
How to Use:
Mean Reversion: Trade the "B" (Buy) and "S" (Sell) labels when price breaks out of the upper/lower bands and the kernel flips color.
Trend Alignment: In the settings, enable the EMA filter of your choice. A Buy signal will only trigger if the price is above your selected EMA; a Sell signal will only trigger if it is below.
Customization: Use the "Visuals" section to show or hide the EMA lines and change the lookback windows to fit your timeframe.
オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう！無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
免責事項
これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。
オープンソーススクリプト
TradingViewの精神に則り、このスクリプトの作者はコードをオープンソースとして公開してくれました。トレーダーが内容を確認・検証できるようにという配慮です。作者に拍手を送りましょう！無料で利用できますが、コードの再公開はハウスルールに従う必要があります。
免責事項
これらの情報および投稿は、TradingViewが提供または承認する金融、投資、取引、またはその他の種類の助言もしくは推奨であることを意図したものではなく、またこれらに該当するものでもありません。詳細は利用規約をご覧ください。