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ATR Enhanced [DCAUT]

█ ATR Enhanced Indicator
📊 Indicator Overview
ATR Enhanced is an enhanced version of the traditional ATR indicator. Unlike standard ATR which is limited to RMA smoothing algorithm, this advanced version supports multiple moving average algorithms, allowing traders to optimize ATR calculations based on market conditions.
🎯 Core Advantages
Difference from Traditional ATR
Algorithm Flexibility Benefits
🚀 Usage Guide
Parameter Settings
Algorithm Selection Guidelines
📊 Color Coding
💡 Core Value
By selecting different moving average algorithms, traders can obtain:
- ATR values better suited to current market conditions
- Volatility signals with different sensitivity levels
- Adaptive capabilities that traditional ATR cannot provide
📄 License: MIT License
👨💻 Developer: DCAUT Team
📊 Indicator Overview
ATR Enhanced is an enhanced version of the traditional ATR indicator. Unlike standard ATR which is limited to RMA smoothing algorithm, this advanced version supports multiple moving average algorithms, allowing traders to optimize ATR calculations based on market conditions.
🎯 Core Advantages
Difference from Traditional ATR
- Traditional ATR: Fixed RMA smoothing algorithm only
- ATR Enhanced: Supports SMA, EMA, HMA, KAMA, Kalman Filter and many other algorithms
Algorithm Flexibility Benefits
- Fast Response: EMA, HMA algorithms respond quickly to volatility changes
- Stable Smoothing: SMA, RMA algorithms provide traditional stable signals
- Adaptive Adjustment: KAMA, FRAMA algorithms automatically adjust based on market conditions
- Noise Filtering: Kalman Filter, Super Smoother reduce market noise
🚀 Usage Guide
Parameter Settings
- ATR Length: ATR calculation period (recommended: 14)
- Moving Average Type: Choose moving average algorithm (default: Laguerre Filter, advanced smoothing algorithm)
Algorithm Selection Guidelines
- Fast Trading: Choose EMA, HMA for quick response
- Stable Analysis: Choose SMA, RMA for traditional performance
- Trend Following: Choose KAMA, FRAMA adaptive algorithms
- Ranging Markets: Choose Kalman Filter to reduce noise
📊 Color Coding
- Green: ATR rising - Volatility increasing
- Red: ATR falling - Volatility decreasing
💡 Core Value
By selecting different moving average algorithms, traders can obtain:
- ATR values better suited to current market conditions
- Volatility signals with different sensitivity levels
- Adaptive capabilities that traditional ATR cannot provide
📄 License: MIT License
👨💻 Developer: DCAUT Team
開源腳本
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開源腳本
本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。