diff --git a/Indicators/MyIndicators/MovingAverage_Pro.md b/Indicators/MyIndicators/MovingAverage_Pro.md
index d7f13af..5b8e54d 100644
--- a/Indicators/MyIndicators/MovingAverage_Pro.md
+++ b/Indicators/MyIndicators/MovingAverage_Pro.md
@@ -2,7 +2,7 @@
 
 ## 1. Summary (Introduction)
 
-The `MovingAverage_Pro` is a universal, "all-in-one" moving average indicator designed for maximum flexibility and efficiency. It consolidates **seven** fundamental and advanced moving average types into a single, powerful tool, allowing the user to switch between them with a simple dropdown menu.
+The `MovingAverage_Pro` is a universal, "all-in-one" moving average indicator designed for maximum flexibility and efficiency. It consolidates **nine** fundamental and advanced moving average types into a single, powerful tool, allowing the user to switch between them with a simple dropdown menu.
 
 The available moving average types are:
 
@@ -13,6 +13,7 @@ The available moving average types are:
 * **TMA** (Triangular Moving Average)
 * **DEMA** (Double Exponential Moving Average)
 * **TEMA** (Triple Exponential Moving Average)
+* **VWMA** (Volume-Weighted Moving Average)
 
 As part of our professional indicator suite, it fully supports calculations on either **standard** or **Heikin Ashi** price data, providing a consistent and powerful tool for any analysis style.
 
@@ -23,23 +24,23 @@ Each moving average type offers a different balance between smoothing and respon
 ### SMA (Simple Moving Average)
 
 The arithmetic mean of the last `N` prices. Ideal for identifying long-term trends.
-$\text{SMA}_t = \frac{1}{N} \sum_{i=0}^{N-1} P_{t-i}$
+$$\text{SMA}_t = \frac{1}{N} \sum_{i=0}^{N-1} P_{t-i}$$
 
 ### EMA (Exponential Moving Average)
 
 A weighted average that applies more weight to recent prices. Calculated recursively.
-$\alpha = \frac{2}{N + 1}$
-$\text{EMA}_t = (P_t \times \alpha) + (\text{EMA}_{t-1} \times (1 - \alpha))$
+$$\alpha = \frac{2}{N + 1}$$
+$$\text{EMA}_t = (P_t \times \alpha) + (\text{EMA}_{t-1} \times (1 - \alpha))$$
 
 ### SMMA (Smoothed Moving Average)
 
 Also known as Wilder's Smoothing. Has a longer "memory" than an EMA.
-$\text{SMMA}_t = \frac{(\text{SMMA}_{t-1} \times (N-1)) + P_t}{N}$
+$$\text{SMMA}_t = \frac{(\text{SMMA}_{t-1} \times (N-1)) + P_t}{N}$$
 
-### LWMA (Linear Weighted Moving Average)
+### LWMA / WMA (Linear Weighted Moving Average / Weighted Moving Average)
 
-Applies linearly decreasing weights from the most recent price to the oldest.
-$\text{LWMA}_t = \frac{\sum_{i=0}^{N-1} P_{t-i} \times (N-i)}{\sum_{j=1}^{N} j}$
+Applies linearly decreasing weights from the most recent price to the oldest. WMA is equivalent to LWMA in our suite to ensure direct compatibility with TradingView standards.
+$$\text{LWMA}_t = \frac{\sum_{i=0}^{N-1} P_{t-i} \times (N-i)}{\sum_{j=1}^{N} j}$$
 
 ### TMA (Triangular Moving Average)
 
@@ -48,18 +49,24 @@ A double-smoothed average (SMA of an SMA) that emphasizes the middle of the data
 ### DEMA (Double Exponential Moving Average)
 
 A lag-reduction technique by Patrick Mulloy.
-$\text{DEMA}_t = (2 \times \text{EMA}_1) - \text{EMA}_2$
+$$\text{DEMA}_t = (2 \times \text{EMA}_1) - \text{EMA}_2$$
 
 ### TEMA (Triple Exponential Moving Average)
 
 An advanced lag-reduction technique using triple smoothing.
-$\text{TEMA}_t = (3 \times \text{EMA}_1) - (3 \times \text{EMA}_2) + \text{EMA}_3$
+$$\text{TEMA}_t = (3 \times \text{EMA}_1) - (3 \times \text{EMA}_2) + \text{EMA}_3$$
+
+### VWMA (Volume-Weighted Moving Average)
+
+Integrates trading volume into the calculation. Higher volume bars have a proportionally larger influence on the resulting average, allowing the indicator to track institutional interest and true market consensus.
+$$\text{VWMA}_t = \frac{\sum_{i=0}^{N-1} (P_{t-i} \times V_{t-i})}{\sum_{i=0}^{N-1} V_{t-i}}$$
 
 ## 3. MQL5 Implementation Details
 
 * **Universal Calculation Engine (`MovingAverage_Engine.mqh`):**
     The core logic is encapsulated in a robust engine that powers multiple indicators in our suite (including Stochastic Pro and MACD Pro).
   * **Versatility:** The engine supports calculations on both standard OHLC data and custom arrays (via `CalculateOnArray`), with advanced offset handling for complex indicators.
+  * **Overloaded Volume Interface:** High-precision overload patterns are provided for Volume-sensitive calculations like `VWMA`. If volume data is not passed, the calculator executes a robust fallback mechanism to SMA with a warning print.
 
 * **Optimized Incremental Calculation (O(1)):**
     Unlike basic implementations, this indicator employs an intelligent incremental algorithm.
@@ -74,7 +81,7 @@ $\text{TEMA}_t = (3 \times \text{EMA}_1) - (3 \times \text{EMA}_2) + \text{EMA}_
 ## 4. Parameters
 
 * **Period (`InpPeriod`):** The lookback period for the moving average calculation.
-* **MA Type (`InpMAType`):** Select from SMA, EMA, SMMA, LWMA, TMA, DEMA, TEMA.
+* **MA Type (`InpMAType`):** Select from SMA, EMA, SMMA, LWMA, TMA, DEMA, TEMA, WMA, VWMA.
 * **Applied Price (`InpSourcePrice`):** The source price (Standard or Heikin Ashi).
 
 ## 5. Usage and Interpretation
@@ -83,4 +90,6 @@ $\text{TEMA}_t = (3 \times \text{EMA}_1) - (3 \times \text{EMA}_2) + \text{EMA}_
   * **Bullish:** Price > MA and MA sloping up.
   * **Bearish:** Price < MA and MA sloping down.
 * **Dynamic Support/Resistance:** The MA line often acts as a bouncing point for price during trends.
-* **Crossovers:** Using two MAs (Fast and Slow) to generate buy/sell signals (Golden Cross / Death Cross).
+* **Volume Confirmation (VWMA vs SMA):**
+  * When **VWMA is above SMA**, it indicates that volume has been higher on bullish closed bars (high institutional demand).
+  * When **VWMA is below SMA**, it signifies that volume is backing bearish developments.
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