TradingView heatmaps: from global trends to details

Comprehensive financial analysis begins with defining your scope. On TradingView, you can access the Stock Heatmap, ETF Heatmap, and Crypto Coins Heatmap. All three tools offer similar capabilities, allowing you to quickly identify trends and market shifts.

CONTENTS

What are heatmaps?
How to access heatmaps
How to use heatmaps
Example
Viewing modes
Additional features
Heatmaps vs. Screeners

What are heatmaps?

Heatmaps are visual analytical tools designed to help you instantly spot market leaders, laggards, and emerging trends based on two key visual indicators:

Cell size: Reflects the relative weight or importance of an asset based on key metrics (such as market capitalization, turnover, or assets under management).
Cell color: Displays performance dynamics based on your chosen analytical parameter (such as price change, overall performance, or volatility).

How to access heatmaps

From any page on TradingView, hover over the Products dropdown in the main navigation menu, select Screeners, and click on the specific heatmap you need.

How to use heatmaps

1. Select market data

Filter the broader market down to your specific area of interest:

Stocks: Select a specific index or an entire country's market.
ETFs: Choose the specific countries whose funds you want to display.
Cryptocurrencies: Filter by All coins, excluding Bitcoin, excluding stablecoins, or DeFi.

2. Configure cell size

The size of a tile determines its relative area on the map. A larger area indicates a higher value for the selected metric, allowing you to quickly assess an asset's "weight" and compare it against others.

Available size parameters:

Stocks	ETFs	Cryptocurrencies
Market cap	AUM	Market cap
Volume	Volume	FD market cap
Turnover	Turnover	Volume in USD
Mono size	Mono size	Mono size

3. Configure cell color

Color reflects the asset's dynamics, such as growth, decline, performance, or volatility. The brightness and specific shades help you immediately identify market outliers.

Available color parameters:

Stocks	ETFs	Cryptocurrencies
Change	Change	Change
Performance	Performance	Performance
Pre-market / Post-market change	NAV total return	Volume change
Relative Volume	Top weight	Volume in USD
Volatility	Volatility	Volatility
Gap	Beta	Gap

4. Grouping Factors

Assets can be organized into visual clusters. The relative size of these groups depends on the size parameter you selected earlier.

Stocks are grouped by sector.

ETFs are organized by asset class.

Cryptocurrencies are displayed on a single level without hierarchical grouping.

Tip: Clicking on a group's name (e.g., a specific sector or asset class) opens a detailed, zoomed-in heatmap containing only the symbols within that group. Your chosen size and color settings will apply automatically.

Example: identifying what moves the S&P 500

Here is a quick workflow to analyze the daily drivers of the S&P 500 index:

1.Open the Stock Heatmap:

Navigate to Products → Screeners → Heatmaps → Stocks.

2.Filter by index:

Select the S&P 500 index from the available market data dropdown.

3.Set size and color:

Choose size by Market Cap and color by Change % (Daily).

4.Group the assets:

Ensure the view is grouped by Sector to see industry performance.

5.Analyze details:

Click on any sector to zoom in on its specific symbols. Hover over individual tiles to view tooltips with exact metrics, and click on a tile to open the detailed symbol page.

6.Toggle Views (optional):

To focus exclusively on performance color without the distraction of market cap sizes, switch your size setting to Mono Size without grouping.

7.Share your findings:

Click the camera icon on the toolbar to share your heatmap directly to X.

Viewing modes

Heatmaps can be customized into four distinct layouts to suit your analytical needs:

Classic with grouping: Cells vary by color and size, and assets are clustered into groups (sectors for stocks, asset classes for ETFs).
Classic without grouping: Cells vary by color and size, but all assets are displayed together on a single flat level.
Mono Size with grouping: All tiles are equal in size, but assets remain clustered. This is ideal for purely color-based trend analysis within specific sectors.
Mono Size without grouping: All tiles are equal in size and displayed on a single level. This provides the cleanest overview when you want to focus entirely on the parameter dictated by color.

Additional features

Click the Camera (Share) icon to:

Download the heatmap as an image.
Copy the image to your clipboard.
Copy a direct link to your current heatmap view.
Share directly to X or Facebook.

Display settings

Customize how information is presented on the tiles:

Logos: Toggle company or coin logos on/off.
Title: Choose to display None, the Ticker Symbol, or the full Description.
Display Value: Select what data appears inside the tile (Price, Volume, Performance, or None).
Color Scheme: Switch between Classic, Color Blind friendly, or Monochrome palettes.

Interface tools

Fullscreen Mode: Expand the heatmap to fill your screen. This increases the working area, making tiles larger and easier to compare at a glance.
Tooltips: Hover your cursor over any tile to reveal a tooltip packed with key information for that symbol—highly useful when viewing small tiles.
Legend: The color scale at the bottom of the screen helps you accurately interpret shades and value ranges (e.g., exact percentage boundaries), making market conditions easier to read.

Heatmaps vs. Screeners

While both tools help analyze markets, identify trends, and detect anomalies to assist in decision-making, their approaches are fundamentally different:

Screeners are built for deep, detailed searches using precise mathematical conditions and flexible filters.
Heatmaps are designed for rapid visual overviews, giving you instant detection of market shifts, outliers, and relative weight.

Using them together provides a complete workflow: instant visual analysis followed by detailed, granular filtering.

Heatmaps in a nutshell

Heatmaps offer a powerful visual analysis of stocks, ETFs, and cryptocurrencies using intuitive size and color coding. By translating complex market data into cell sizes (comparison metrics) and colors (performance or volatility changes), they allow you to instantly grasp broad market overviews, spot outliers, and monitor multiple assets simultaneously.