xml doc rewrite

lib/averages/Sinema.cs

@@ -1,9 +1,37 @@
+using System;
 namespace QuanTAlib;
 
+/// <summary>
+/// SINEMA: Sine-weighted Exponential Moving Average
+/// A moving average that uses sine function-based weights to create a natural
+/// distribution of importance across the period. The weights follow a sine curve,
+/// providing smooth transitions and natural emphasis on different parts of the data.
+/// </summary>
+/// <remarks>
+/// The SINEMA calculation process:
+/// 1. Generates weights using sine function over the period
+/// 2. Normalizes weights to sum to 1
+/// 3. Applies weights through convolution
+/// 4. Produces smooth output with natural weight distribution
+///
+/// Key characteristics:
+/// - Sine-based weight distribution
+/// - Natural smoothing through trigonometric weights
+/// - No sharp transitions in weight values
+/// - Balanced emphasis across the period
+/// - Implemented using efficient convolution operations
+///
+/// Implementation:
+///     Based on sine function principles for weight generation
+///     Uses convolution for efficient calculation
+/// </remarks>
+
 public class Sinema : AbstractBase
 {
     private readonly Convolution _convolution;
 
+    /// <param name="period">The number of data points used in the SINEMA calculation.</param>
+    /// <exception cref="ArgumentException">Thrown when period is less than 1.</exception>
     public Sinema(int period)
     {
         if (period < 1)
@@ -16,6 +44,8 @@ public class Sinema : AbstractBase
         Init();
     }
 
+    /// <param name="source">The data source object that publishes updates.</param>
+    /// <param name="period">The number of data points used in the SINEMA calculation.</param>
     public Sinema(object source, int period) : this(period)
     {
         var pubEvent = source.GetType().GetEvent("Pub");
@@ -50,6 +80,11 @@ public class Sinema : AbstractBase
         return result;
     }
 
+    /// <summary>
+    /// Generates the sine-based convolution kernel for the SINEMA calculation.
+    /// </summary>
+    /// <param name="period">The period for which to generate the kernel.</param>
+    /// <returns>An array of normalized sine-based weights for the convolution operation.</returns>
     public static double[] GenerateKernel(int period)
     {
         double[] kernel = new double[period];
@@ -70,4 +105,4 @@ public class Sinema : AbstractBase
 
         return kernel;
     }
-}
+}