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已更新 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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開源腳本
秉持TradingView一貫精神，這個腳本的創作者將其設為開源，以便交易者檢視並驗證其功能。向作者致敬！您可以免費使用此腳本，但請注意，重新發佈代碼需遵守我們的社群規範。
免責聲明
這些資訊和出版物並非旨在提供，也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。