diff --git a/Indicators/MyIndicators/LinearRegression_Slope_Pro.mq5 b/Indicators/MyIndicators/LinearRegression_Slope_Pro.mq5
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+++ b/Indicators/MyIndicators/LinearRegression_Slope_Pro.mq5
@@ -0,0 +1,139 @@
+//+------------------------------------------------------------------+
+//|                                    LinearRegression_Slope_Pro.mq5|
+//|                                          Copyright 2026, xxxxxxxx|
+//+------------------------------------------------------------------+
+#property copyright "Copyright 2026, xxxxxxxx"
+#property version   "1.00"
+#property description "Linear Regression Slope (Smart)."
+#property description "Height = Velocity. Color = Quality (R2)."
+
+#property indicator_separate_window
+#property indicator_buffers 2
+#property indicator_plots   1
+
+// Plot: Smart Slope Histogram
+#property indicator_label1  "Slope"
+#property indicator_type1   DRAW_COLOR_HISTOGRAM
+// Colors:
+// 0: Weak Bull (Green)
+// 1: Strong Bull (Lime)   <- High R2
+// 2: Weak Bear (Maroon)
+// 3: Strong Bear (Red)    <- High R2
+#property indicator_color1  clrSeaGreen, clrLime, clrMaroon, clrRed
+#property indicator_style1  STYLE_SOLID
+#property indicator_width1  2
+
+#include <MyIncludes\LinearRegression_Calculator.mqh>
+#include <MyIncludes\ATR_Calculator.mqh>
+
+//--- Parameters
+input int      InpPeriod         = 20;    // Regression Period
+input int      InpATRPeriod      = 14;    // Normalization Period
+input double   InpStrongR2       = 0.7;   // High Quality Threshold
+
+//--- Buffers
+double BufSlope[];
+double BufColors[];
+
+CLinearRegressionCalculator *g_calc;
+CATRCalculator              *g_atr;
+
+//+------------------------------------------------------------------+
+//| Init                                                             |
+//+------------------------------------------------------------------+
+int OnInit()
+  {
+   SetIndexBuffer(0, BufSlope, INDICATOR_DATA);
+   SetIndexBuffer(1, BufColors, INDICATOR_COLOR_INDEX);
+
+   string name = StringFormat("LR-Slope(%d)", InpPeriod);
+   IndicatorSetString(INDICATOR_SHORTNAME, name);
+   IndicatorSetInteger(INDICATOR_DIGITS, 2);
+
+   g_calc = new CLinearRegressionCalculator();
+   g_calc.Init(InpPeriod);
+
+   g_atr = new CATRCalculator();
+   g_atr.Init(InpATRPeriod, ATR_POINTS);
+
+   return(INIT_SUCCEEDED);
+  }
+
+//+------------------------------------------------------------------+
+//|                                                                  |
+//+------------------------------------------------------------------+
+void OnDeinit(const int r)
+  {
+   if(CheckPointer(g_calc)==POINTER_DYNAMIC)
+      delete g_calc;
+   if(CheckPointer(g_atr)==POINTER_DYNAMIC)
+      delete g_atr;
+  }
+
+//+------------------------------------------------------------------+
+//| Calculate                                                        |
+//+------------------------------------------------------------------+
+int OnCalculate(const int rates_total,
+                const int prev_calculated,
+                const datetime &time[],
+                const double &open[],
+                const double &high[],
+                const double &low[],
+                const double &close[],
+                const long &tick_volume[],
+                const long &volume[],
+                const int &spread[])
+  {
+   if(rates_total < MathMax(InpPeriod, InpATRPeriod))
+      return 0;
+
+   double s[], r2[], f[], atr[];
+   int total = rates_total;
+
+// Resize temp arrays
+   ArrayResize(s, total);
+   ArrayResize(r2, total);
+   ArrayResize(f, total);
+   ArrayResize(atr, total); // Actually ATR Calc handles this internally if passed but we need output buffer.
+
+// Run Calcs
+   g_calc.CalculateState(total, prev_calculated, open, high, low, close, PRICE_CLOSE, s, r2, f);
+   g_atr.Calculate(total, prev_calculated, open, high, low, close, atr);
+
+   int start = (prev_calculated > 0) ? prev_calculated - 1 : MathMax(InpPeriod, InpATRPeriod);
+
+   for(int i = start; i < rates_total; i++)
+     {
+      double raw_slope = s[i];
+      double current_atr = atr[i];
+      double quality_r2 = r2[i];
+
+      // Normalized Slope = Change per bar in ATR units
+      // (e.g., +0.5 means price rises 0.5 ATR per bar).
+      double norm_slope = 0;
+      if(current_atr > 0)
+         norm_slope = raw_slope / current_atr;
+
+      BufSlope[i] = norm_slope;
+
+      // Smart Coloring
+      if(norm_slope > 0)
+        {
+         if(quality_r2 > InpStrongR2)
+            BufColors[i] = 1.0; // Strong Bull (Lime)
+         else
+            BufColors[i] = 0.0; // Weak Bull (SeaGreen)
+        }
+      else
+        {
+         if(quality_r2 > InpStrongR2)
+            BufColors[i] = 3.0; // Strong Bear (Red)
+         else
+            BufColors[i] = 2.0; // Weak Bear (Maroon)
+        }
+     }
+
+   return(rates_total);
+  }
+//+------------------------------------------------------------------+
+//+------------------------------------------------------------------+