diff --git a/Include/MyIncludes/LinearRegression_Calculator.mqh b/Include/MyIncludes/LinearRegression_Calculator.mqh
new file mode 100644
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+++ b/Include/MyIncludes/LinearRegression_Calculator.mqh
@@ -0,0 +1,208 @@
+//+------------------------------------------------------------------+
+//|                                 LinearRegression_Calculator.mqh  |
+//| Calculation engine for Standard and Heikin Ashi LinReg Channels. |
+//|                                        Copyright 2025, xxxxxxxx  |
+//+------------------------------------------------------------------+
+#property copyright "Copyright 2025, xxxxxxxx"
+
+#include <MyIncludes\HeikinAshi_Tools.mqh>
+
+//--- Enum for Channel Calculation Mode ---
+enum ENUM_CHANNEL_MODE
+  {
+   DEVIATION_STANDARD, // Channel width based on Standard Deviation
+   DEVIATION_MAXIMUM   // Channel width based on Maximum Deviation
+  };
+
+//+==================================================================+
+//|                                                                  |
+//|         CLASS 1: CLinearRegressionCalculator (Base Class)        |
+//|                                                                  |
+//+==================================================================+
+class CLinearRegressionCalculator
+  {
+protected:
+   int               m_period;
+   ENUM_CHANNEL_MODE m_channel_mode;
+   double            m_deviations;
+   double            m_price[];
+
+   virtual bool      PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type);
+
+public:
+                     CLinearRegressionCalculator(void) {};
+   virtual          ~CLinearRegressionCalculator(void) {};
+
+   bool              Init(int period, ENUM_CHANNEL_MODE mode, double deviations);
+   void              Calculate(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type,
+                               double &middle_buffer[], double &upper_buffer[], double &lower_buffer[]);
+  };
+
+//+------------------------------------------------------------------+
+//| CLinearRegressionCalculator: Initialization                      |
+//+------------------------------------------------------------------+
+bool CLinearRegressionCalculator::Init(int period, ENUM_CHANNEL_MODE mode, double deviations)
+  {
+   m_period       = (period < 2) ? 2 : period;
+   m_channel_mode = mode;
+   m_deviations   = (deviations <= 0) ? 2.0 : deviations;
+   return true;
+  }
+
+//+------------------------------------------------------------------+
+//| CLinearRegressionCalculator: Main Calculation Method             |
+//+------------------------------------------------------------------+
+void CLinearRegressionCalculator::Calculate(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type,
+      double &middle_buffer[], double &upper_buffer[], double &lower_buffer[])
+  {
+   if(rates_total < m_period)
+      return;
+   if(!PreparePriceSeries(rates_total, open, high, low, close, price_type))
+      return;
+
+   int start_index = rates_total - m_period;
+   double sum_x = 0, sum_y = 0, sum_xy = 0, sum_x2 = 0;
+   for(int i = 0; i < m_period; i++)
+     {
+      double y = m_price[start_index + i];
+      double x = i;
+      sum_x += x;
+      sum_y += y;
+      sum_xy += x * y;
+      sum_x2 += x * x;
+     }
+
+   double b = (m_period * sum_xy - sum_x * sum_y) / (m_period * sum_x2 - sum_x * sum_x);
+   double a = (sum_y - b * sum_x) / m_period;
+
+   double deviation_offset = 0;
+   double regression_values[];
+   ArrayResize(regression_values, m_period);
+
+   if(m_channel_mode == DEVIATION_STANDARD)
+     {
+      double dev_sum_sq = 0;
+      for(int i = 0; i < m_period; i++)
+        {
+         regression_values[i] = a + b * i;
+         dev_sum_sq += MathPow(m_price[start_index + i] - regression_values[i], 2);
+        }
+      deviation_offset = m_deviations * MathSqrt(dev_sum_sq / m_period);
+     }
+   else // DEVIATION_MAXIMUM
+     {
+      double max_dev = 0;
+      for(int i = 0; i < m_period; i++)
+        {
+         regression_values[i] = a + b * i;
+         max_dev = MathMax(max_dev, MathAbs(m_price[start_index + i] - regression_values[i]));
+        }
+      deviation_offset = max_dev;
+     }
+
+   for(int i = 0; i < m_period; i++)
+     {
+      int buffer_index = start_index + i;
+      middle_buffer[buffer_index] = regression_values[i];
+      upper_buffer[buffer_index]  = regression_values[i] + deviation_offset;
+      lower_buffer[buffer_index]  = regression_values[i] - deviation_offset;
+     }
+
+   PlotIndexSetInteger(0, PLOT_DRAW_BEGIN, start_index);
+   PlotIndexSetInteger(1, PLOT_DRAW_BEGIN, start_index);
+   PlotIndexSetInteger(2, PLOT_DRAW_BEGIN, start_index);
+  }
+
+//+------------------------------------------------------------------+
+//| CLinearRegressionCalculator: Prepares the standard source price. |
+//+------------------------------------------------------------------+
+bool CLinearRegressionCalculator::PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type)
+  {
+   ArrayResize(m_price, rates_total);
+   switch(price_type)
+     {
+      case PRICE_OPEN:
+         ArrayCopy(m_price, open, 0, 0, rates_total);
+         break;
+      case PRICE_HIGH:
+         ArrayCopy(m_price, high, 0, 0, rates_total);
+         break;
+      case PRICE_LOW:
+         ArrayCopy(m_price, low, 0, 0, rates_total);
+         break;
+      case PRICE_MEDIAN:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (high[i]+low[i])/2.0;
+         break;
+      case PRICE_TYPICAL:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (high[i]+low[i]+close[i])/3.0;
+         break;
+      case PRICE_WEIGHTED:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (high[i]+low[i]+2*close[i])/4.0;
+         break;
+      default:
+         ArrayCopy(m_price, close, 0, 0, rates_total);
+         break;
+     }
+   return true;
+  }
+
+//+==================================================================+
+//|                                                                  |
+//|       CLASS 2: CLinearRegressionCalculator_HA (Heikin Ashi)      |
+//|                                                                  |
+//+==================================================================+
+class CLinearRegressionCalculator_HA : public CLinearRegressionCalculator
+  {
+private:
+   CHeikinAshi_Calculator m_ha_calculator;
+protected:
+   virtual bool      PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type) override;
+  };
+
+//+------------------------------------------------------------------+
+//| CLinearRegressionCalculator_HA: Prepares the HA source price.    |
+//+------------------------------------------------------------------+
+bool CLinearRegressionCalculator_HA::PreparePriceSeries(int rates_total, const double &open[], const double &high[], const double &low[], const double &close[], ENUM_APPLIED_PRICE price_type)
+  {
+   double ha_open[], ha_high[], ha_low[], ha_close[];
+   ArrayResize(ha_open, rates_total);
+   ArrayResize(ha_high, rates_total);
+   ArrayResize(ha_low, rates_total);
+   ArrayResize(ha_close, rates_total);
+   m_ha_calculator.Calculate(rates_total, open, high, low, close, ha_open, ha_high, ha_low, ha_close);
+
+   ArrayResize(m_price, rates_total);
+   switch(price_type)
+     {
+      case PRICE_OPEN:
+         ArrayCopy(m_price, ha_open, 0, 0, rates_total);
+         break;
+      case PRICE_HIGH:
+         ArrayCopy(m_price, ha_high, 0, 0, rates_total);
+         break;
+      case PRICE_LOW:
+         ArrayCopy(m_price, ha_low, 0, 0, rates_total);
+         break;
+      case PRICE_MEDIAN:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (ha_high[i]+ha_low[i])/2.0;
+         break;
+      case PRICE_TYPICAL:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (ha_high[i]+ha_low[i]+ha_close[i])/3.0;
+         break;
+      case PRICE_WEIGHTED:
+         for(int i=0; i<rates_total; i++)
+            m_price[i] = (ha_high[i]+ha_low[i]+2*ha_close[i])/4.0;
+         break;
+      default:
+         ArrayCopy(m_price, ha_close, 0, 0, rates_total);
+         break;
+     }
+   return true;
+  }
+//+------------------------------------------------------------------+
+//+------------------------------------------------------------------+