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更新済 Smooth Moving Avarage
Smooth Moving Average
Smooth Moving Average is a trend-following moving average designed to provide a cleaner and smoother view of market direction while reducing short-term price noise.
The indicator combines multiple EMA calculations with a multi-stage smoothing process to create a smooth and responsive moving average. It also uses ATR-normalized slope analysis to evaluate the current trend condition while adapting to changing market volatility.
The moving average automatically changes color based on its current directional state:
Up Color — Indicates an upward trend condition.
Down Color — Indicates a downward trend condition.
Flat Color — Indicates a neutral or low-momentum condition.
Main Settings
• Multi-stage EMA smoothing for a cleaner trend line
• Adjustable Period for controlling overall sensitivity
• Smooth Length and Smooth Count for additional noise reduction
• ATR-based trend analysis for volatility-adjusted trend detection
• Adjustable Trend Threshold for controlling trend sensitivity
• Fully customizable trend colors
• Clean and minimal chart visualization
How It Works
The indicator first calculates a base moving average using a combination of faster and slower EMA calculations. This creates a responsive foundation while helping reduce some of the lag normally associated with traditional moving averages.
The resulting moving average is then processed through multiple configurable smoothing stages to create a cleaner trend line. Finally, its slope is normalized using ATR to determine whether the current movement represents an upward trend, downward trend, or relatively flat condition.
Smooth Moving Average is designed as a trend analysis and visualization tool. It can be used alongside price action, market structure, and other technical analysis methods to help identify the prevailing market direction.
Smooth Moving Average is a trend-following moving average designed to provide a cleaner and smoother view of market direction while reducing short-term price noise.
The indicator combines multiple EMA calculations with a multi-stage smoothing process to create a smooth and responsive moving average. It also uses ATR-normalized slope analysis to evaluate the current trend condition while adapting to changing market volatility.
The moving average automatically changes color based on its current directional state:
Up Color — Indicates an upward trend condition.
Down Color — Indicates a downward trend condition.
Flat Color — Indicates a neutral or low-momentum condition.
Main Settings
• Multi-stage EMA smoothing for a cleaner trend line
• Adjustable Period for controlling overall sensitivity
• Smooth Length and Smooth Count for additional noise reduction
• ATR-based trend analysis for volatility-adjusted trend detection
• Adjustable Trend Threshold for controlling trend sensitivity
• Fully customizable trend colors
• Clean and minimal chart visualization
How It Works
The indicator first calculates a base moving average using a combination of faster and slower EMA calculations. This creates a responsive foundation while helping reduce some of the lag normally associated with traditional moving averages.
The resulting moving average is then processed through multiple configurable smoothing stages to create a cleaner trend line. Finally, its slope is normalized using ATR to determine whether the current movement represents an upward trend, downward trend, or relatively flat condition.
Smooth Moving Average is designed as a trend analysis and visualization tool. It can be used alongside price action, market structure, and other technical analysis methods to help identify the prevailing market direction.
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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。