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"Reactive Moving Average" โลโก้
Reactive Moving Average
5.0
03/09/2025
150
Desktop

📈 Signal Moving Average 📉
The Signal Moving Average is an indicator that combines a Simple Moving Average (SMA) with a dynamic correlation calculation to better adapt to market conditions. 🎯 This indicator adjusts its sensitivity based on the strength of the trend, making it a powerful tool for identifying trends and filtering out market noise. 🌟

Key Features 🔑

📊 Adjusted Moving Average:

  • The moving average line dynamically adjusts based on the correlation between price and time.
  • In strong trending markets, the moving average moves faster to follow the price. 🚀
  • In sideways markets, the moving average remains more stable, reducing false signals. 🛑

🔢 Correlation Calculation:

  • The indicator calculates the correlation between price and time using the Pearson formula.
  • It adjusts the moving average based on the coefficient of determination (R²). 🧮

👀 Visualization:

  • Clear and intuitive display for easy interpretation. 📉📈

How to Use the Indicator 🛠️

🔍 Trend Identification:

  • Bullish Trend: When the price is above the correlated moving average. 🐂
  • Bearish Trend: When the price is below the correlated moving average. 🐻

✅ Signal Confirmation:

  • Use the adjusted moving average as a dynamic support or resistance level. 🛡️
  • Combine this indicator with other technical tools to confirm signals. 🔄

Moving Average Adjustment ⚙️

The algorithm adjusts the moving average based on the value of :

  • If R² > 0.5 (significant correlation):
    • The moving average is adjusted using a weighted combination between the current SMA value and the previous value of the adjusted moving average (_ma).
    • The weighting depends on the value of . ⚖️
  • If R² ≤ 0.5 (non-significant correlation):
    • The moving average is adjusted by subtracting a value proportional to the absolute difference between the current SMA value and the previous value of the adjusted moving average. 🔄
  • Ctrader Store indicators:

 

Channel Breakout System

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ZigZag

Supertrend

Market Imbalance

Adaptive Trend Channel 

Dynamic Market Structure
Analysis of Turning Points

Order Block

Fibonacci Linear
Regression Multi-timeframe

Volume POC Heatmap

Dynamic RSI

Momentum Fair Value Gap

Market Flow Projection

Dynamic Trend Gradient

Multi-Level Candle Bias
Tracker

Zig-Zag Extremity Tracker

Reactive Moving Average

Auto-Trend Channel

Auto Support and
Resistance Trend Lines

All Support and
Resistance Levels

Leverage Liquidation Map

Zones Supply Demand

Dynamic Range Momentum

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