📈 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 R²:

• 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 R². ⚖️
• 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. 🔄
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