diff --git a/Include/MyIncludes/Polynomial_Regression_Object_Calculator.mqh b/Include/MyIncludes/Polynomial_Regression_Object_Calculator.mqh
new file mode 100644
index 0000000..3836d91
--- /dev/null
+++ b/Include/MyIncludes/Polynomial_Regression_Object_Calculator.mqh
@@ -0,0 +1,242 @@
+//+------------------------------------------------------------------+
+//|                   Polynomial_Regression_Object_Calculator.mqh    |
+//|      Engine for drawing a Polynomial Regression Channel object.  |
+//|                                        Copyright 2025, xxxxxxxx  |
+//+------------------------------------------------------------------+
+#property copyright "Copyright 2025, xxxxxxxx"
+
+#include <MyIncludes\HeikinAshi_Tools.mqh>
+
+//+==================================================================+
+class CPolynomialRegressionObjectCalculator
+  {
+protected:
+   int               m_period;
+   double            m_deviation;
+   string            m_prefix;
+   double            m_price[];
+   int               m_last_rates_total;
+
+   virtual bool      PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
+   void              DrawChannelObjects(int rates_total, const datetime &time[]);
+
+public:
+                     CPolynomialRegressionObjectCalculator(void) : m_last_rates_total(0) {};
+   virtual          ~CPolynomialRegressionObjectCalculator(void) {};
+
+   bool              Init(int period, double deviation, string prefix);
+   void              Calculate(int rates_total, const datetime &time[], ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]);
+  };
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+class CPolynomialRegressionObjectCalculator_HA : public CPolynomialRegressionObjectCalculator
+  {
+private:
+   CHeikinAshi_Calculator m_ha_calculator;
+protected:
+   virtual bool      PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[]) override;
+  };
+
+//+==================================================================+
+//|                 METHOD IMPLEMENTATIONS                           |
+//+==================================================================+
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+bool CPolynomialRegressionObjectCalculator::Init(int period, double deviation, string prefix)
+  {
+   m_period = (period < 3) ? 3 : period;
+   m_deviation = (deviation <= 0) ? 2.0 : deviation;
+   m_prefix = prefix;
+   return true;
+  }
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+void CPolynomialRegressionObjectCalculator::Calculate(int rates_total, const datetime &time[], ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
+  {
+   if(rates_total <= m_last_rates_total && rates_total > 0)
+      return;
+   m_last_rates_total = rates_total;
+
+   if(rates_total < m_period)
+      return;
+   if(!PreparePriceSeries(rates_total, price_type, open, high, low, close))
+      return;
+
+   DrawChannelObjects(rates_total, time);
+  }
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+void CPolynomialRegressionObjectCalculator::DrawChannelObjects(int rates_total, const datetime &time[])
+  {
+   ObjectsDeleteAll(0, m_prefix);
+
+   int start_index = rates_total - m_period;
+
+   double sum_x=0, sum_y=0, sum_x2=0, sum_xy=0, sum_x3=0, sum_x4=0, sum_x2y=0;
+   for(int j = 0; j < m_period; j++)
+     {
+      double x = j;
+      double y = m_price[start_index + j];
+      sum_x += x;
+      sum_y += y;
+      sum_x2 += x*x;
+      sum_xy += x*y;
+      sum_x3 += x*x*x;
+      sum_x4 += x*x*x*x;
+      sum_x2y += x*x*y;
+     }
+
+   double a=0, b=0, c=0;
+   double n = m_period;
+   double D = n * (sum_x2 * sum_x4 - sum_x3 * sum_x3) - sum_x * (sum_x * sum_x4 - sum_x2 * sum_x3) + sum_x2 * (sum_x * sum_x3 - sum_x2 * sum_x2);
+   if(MathAbs(D) < 1e-10)
+      return;
+   a = (sum_y * (sum_x2 * sum_x4 - sum_x3 * sum_x3) - sum_xy * (sum_x * sum_x4 - sum_x2 * sum_x3) + sum_x2y * (sum_x * sum_x3 - sum_x2 * sum_x2)) / D;
+   b = (n * (sum_xy * sum_x4 - sum_x2y * sum_x3) - sum_x * (sum_y * sum_x4 - sum_x2 * sum_x2y) + sum_x2 * (sum_y * sum_x3 - sum_x2 * sum_xy)) / D;
+   c = (n * (sum_x2 * sum_x2y - sum_x3 * sum_xy) - sum_x * (sum_x * sum_x2y - sum_x2 * sum_xy) + sum_y * (sum_x * sum_x3 - sum_x2 * sum_x2)) / D;
+
+   double sum_sq_err = 0;
+   for(int j = 0; j < m_period; j++)
+     {
+      double x = j;
+      double y = m_price[start_index + j];
+      double y_fit = a + b * x + c * x * x;
+      sum_sq_err += pow(y - y_fit, 2);
+     }
+   double std_dev = sqrt(sum_sq_err / n);
+
+   datetime points_time[];
+   double points_mid[], points_upper[], points_lower[];
+   ArrayResize(points_time, m_period);
+   ArrayResize(points_mid, m_period);
+   ArrayResize(points_upper, m_period);
+   ArrayResize(points_lower, m_period);
+
+   for(int j = 0; j < m_period; j++)
+     {
+      points_time[j] = time[start_index + j];
+      points_mid[j] = a + b * j + c * j * j;
+      points_upper[j] = points_mid[j] + m_deviation * std_dev;
+      points_lower[j] = points_mid[j] - m_deviation * std_dev;
+     }
+
+   for(int j = 0; j < m_period - 1; j++)
+     {
+      string mid_name = m_prefix + "_mid_" + (string)j;
+      ObjectCreate(0, mid_name, OBJ_TREND, 0, points_time[j], points_mid[j], points_time[j+1], points_mid[j+1]);
+      ObjectSetInteger(0, mid_name, OBJPROP_COLOR, clrCrimson);
+      ObjectSetInteger(0, mid_name, OBJPROP_WIDTH, 2);
+      ObjectSetInteger(0, mid_name, OBJPROP_SELECTABLE, false);
+
+      string upper_name = m_prefix + "_upper_" + (string)j;
+      ObjectCreate(0, upper_name, OBJ_TREND, 0, points_time[j], points_upper[j], points_time[j+1], points_upper[j+1]);
+      ObjectSetInteger(0, upper_name, OBJPROP_COLOR, clrCrimson);
+      ObjectSetInteger(0, upper_name, OBJPROP_STYLE, STYLE_DOT);
+      ObjectSetInteger(0, upper_name, OBJPROP_SELECTABLE, false);
+
+      string lower_name = m_prefix + "_lower_" + (string)j;
+      ObjectCreate(0, lower_name, OBJ_TREND, 0, points_time[j], points_lower[j], points_time[j+1], points_lower[j+1]);
+      ObjectSetInteger(0, lower_name, OBJPROP_COLOR, clrCrimson);
+      ObjectSetInteger(0, lower_name, OBJPROP_STYLE, STYLE_DOT);
+      ObjectSetInteger(0, lower_name, OBJPROP_SELECTABLE, false);
+     }
+  }
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+bool CPolynomialRegressionObjectCalculator::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
+  {
+   if(ArraySize(m_price) != rates_total)
+      if(ArrayResize(m_price, rates_total) != rates_total)
+         return false;
+
+   switch(price_type)
+     {
+      case PRICE_CLOSE:
+         ArrayCopy(m_price, close, 0, 0, rates_total);
+         break;
+      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]+close[i]+close[i])/4.0;
+         break;
+      default:
+         return false;
+     }
+   return true;
+  }
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+bool CPolynomialRegressionObjectCalculator_HA::PreparePriceSeries(int rates_total, ENUM_APPLIED_PRICE price_type, const double &open[], const double &high[], const double &low[], const double &close[])
+  {
+   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);
+
+   if(ArraySize(m_price) != rates_total)
+      if(ArrayResize(m_price, rates_total) != rates_total)
+         return false;
+
+   switch(price_type)
+     {
+      case PRICE_CLOSE:
+         ArrayCopy(m_price, ha_close, 0, 0, rates_total);
+         break;
+      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]+ha_close[i]+ha_close[i])/4.0;
+         break;
+      default:
+         return false;
+     }
+   return true;
+  }
+//+------------------------------------------------------------------+
+//+------------------------------------------------------------------+