Bookmap pro

Bookmap pro

Overview

The Bookmap Volume Heatmap is a custom MetaTrader 5 (MQL5) indicator that creates a visual heatmap of trading volume distribution across price levels, similar to professional trading platforms like Bookmap. It provides traders with a clear visualization of where significant trading activity has occurred within a specified price range.

Key Features

1. Volume Distribution Visualization

• Creates color-coded rectangles on the chart representing volume intensity at different price levels

• Uses a grid system with configurable number of price levels (default: 50)

• Color gradient indicates volume intensity:

  • Dark Blue: Low volume (0-25%)

  • Blue: Medium volume (25-50%)

  • Yellow: High volume (50-75%)

  • Red: Maximum volume (75-100%)

2. Customizable Parameters

• GridLevels: Number of price levels to analyze (10-100 recommended)

• BarsToAnalyze: Historical bars to process for volume calculation

• Color Scheme: Fully customizable colors for different volume intensities

• Transparency: Adjust transparency of heatmap overlay

• Panel Display: Toggle information panel on/off

3. Information Panel

• Real-time statistics display including:

  • Number of bars analyzed

  • Total price levels

  • Price range

  • Total volume

  • Maximum volume per node

  • High volume nodes count (>70% of max volume)

  • POC (Point of Control) - price level with highest volume

  • Color legend for volume intensity

4. Technical Implementation

• Memory Efficient: Uses object-based drawing rather than indicator buffers

• Automatic Updates: Timer-based refresh (every second)

• Chart Integration: Properly cleans up objects on deinitialization

• Price Range Detection: Dynamically calculates min/max prices from analyzed bars

How It Works

Volume Calculation Process:

1. Price Range Detection: Identifies highest and lowest prices from analyzed bars

2. Grid Creation: Divides price range into equal segments (GridLevels)

3. Volume Distribution: Distributes each bar's volume across price levels it touched

4. Intensity Normalization: Calculates relative volume intensity (0-100%)

5. Visual Rendering: Draws colored rectangles based on volume intensity

Key Algorithms:

• Volume Accumulation: Aggregates volume at each price level

• POC Detection: Identifies price with maximum volume concentration

• Dynamic Scaling: Automatically adjusts to current price range

Trading Applications

1. Support/Resistance Identification

• High volume nodes indicate significant support/resistance levels

• Price levels with maximum volume (red zones) often act as key turning points

2. Volume Profile Analysis

• Understand where volume is concentrated in the current price range

• Identify volume voids (low volume areas) for potential breakout targets

3. Market Structure Analysis

• Visualize volume distribution across the price range

• Identify accumulation/distribution zones

4. Trade Entry/Exit Points

• High volume areas can provide better liquidity for entries/exits

• Low volume areas may indicate stop-loss hunting zones

Advantages

Compared to Traditional Volume Indicators:

• Spatial Context: Shows volume relative to price levels, not just time

• Visual Clarity: Color gradients make volume distribution immediately apparent

• Historical Context: Shows volume profile over specified bar history

• Multi-timeframe Analysis: Works on any timeframe while showing historical accumulation