WhaleTrack

BTCUSDT.P

WhaleTrack – Volume Heatmap to Uncover Institutional Trading Activity
Overview

WhaleTrack is a volume-based heatmap indicator designed to reveal areas of high institutional trading activity. The indicator helps traders identify hidden support and resistance levels, analyze trend sustainability, and optimize stop-loss placements by displaying where significant market participants (whales) have historically traded in large volumes.

Institutions and large traders often push price into areas of historical liquidity to trigger retail stop-losses and fill their own large orders at optimal prices. WhaleTrack visualizes these critical areas, allowing traders to anticipate future price movements based on past institutional behavior.

How WhaleTrack Works

WhaleTrack analyzes historical trading volume and calculates a normalized volume intensity relative to the moving average (SMA). This data is then mapped onto a heatmap that highlights key liquidity zones.

1. Volume Normalization & SMA-Based Calculation

• The script calculates the ratio of current volume to its SMA-based average.
  

• Zones with significantly high volume spikes are identified as key liquidity areas where large traders may have accumulated or distributed assets.
  

• The volume is quantized into different levels, ranging from Low to Extreme, creating a clear heatmap gradient.
  

2. Why Do Whales Manipulate Liquidity?

• Large traders (whales) need liquidity to execute their orders.
  

• They push price into historical high-volume areas to trigger stop-losses and force retail traders into selling.
  

• This behavior allows them to accumulate at lower prices or distribute at higher prices before a major move.
  

• Whale zones often act as support/resistance because institutions tend to protect their previous accumulation or distribution levels.
  

3. Heatmap Color Model & Zone Classification

WhaleTrack assigns volume intensity levels based on historical market participation:

• Low → Minimal volume, weak interest
  

• Low-Mid → Slightly increased volume
  

• Mid → Standard trading activity, no major anomalies
  

• Mid-High → Significant increase in volume, possible whale activity
  

• High → Strong liquidity pool, institutional interest
  

• Extreme → Highly concentrated volume, key reversal area
  

By observing these zones, traders can determine whether a price level is likely to hold as support or resistance, or if a breakout has the strength to sustain.
Trading Applications of WhaleTrack

WhaleTrack can be used to identify trade setups based on liquidity behavior:



1. Identifying Hidden Reversal Points (Support & Resistance)

• Large Whale Zones below price → Likely strong support.
  

• Large Whale Zones above price → Likely strong resistance.
  

• These zones often lead to reversals, as large traders defend their previous positions.
  

2. Evaluating Trend Sustainability

• A strong uptrend should leave multiple high-volume zones behind.
  

• If no new high-volume zones form, the trend may be unsustainable.
  

• High volume clusters in trend direction? → Likely trend continuation.
  

3. Optimizing Stop-Loss Placement

• Placing stops inside whale zones increases stop-out risk.
  

• Setting stops below whale buy zones protects against premature liquidation.
  

• Stops above whale sell zones help avoid fake breakouts.
  

Customization & Settings

WhaleTrack is designed with flexibility in mind, offering multiple customization options:
1. Layout & Color Models

• WhaleTrack Default – optimized for whale volume tracking
  

• Model 1 & Model 2 – alternative heatmap color schemes
  

• Contrast Mode – high visibility
  

• White-Black & Black-White – for different chart backgrounds
  

• Custom 1 & Custom 2 – user-defined color configurations
  

2. Advanced Options

• Draw Full Candle Boxes – display full candle height or a partial range
  

• Legend Visibility & Positioning – control placement of the heatmap legend
  

• Exponential Color Model – choose between logarithmic and linear volume representation
  

• Max Transparency Settings – adjust visibility of older zones
  

• Number of Heatmap Colors – set the gradient sensitivity
  

3. Data Optimization Settings

• Lookback Period – define how many bars are analyzed for volume normalization
  

• Max Box Display – limit the number of displayed volume zones
  

• Data Saver Mode – increase range at the expense of detail
  

• Minimum Volume Threshold – filter out insignificant volume clusters
  

Disclaimer

This indicator is for educational and informational purposes only. It does not provide financial advice or guarantee future performance. Trading is risky—conduct your own research before making any investment decisions.