Creates a visual heatmap showing where the highest liquidity concentrations exist across price levels, with multi-timeframe analysis.
Block Sizes
3 options
Markets
All
Style
Overlay
Alerts
Built-in
Liquidity Heatmap MTF analyzes trading activity across a grid of price levels over a customizable lookback period, measuring how much volume or candle interaction has occurred at each level. A percentile filter displays only the most significant liquidity clusters, color-coded by position relative to the current price: green for support zones below, red for resistance above, with intensity reflecting concentration magnitude. The multi-timeframe capability computes the analysis on a higher timeframe and projects it onto your current chart, revealing where significant liquidity pools exist across different time horizons.
Liquidity Heatmap divides the visible price range into a grid of equal-sized blocks and measures how much trading activity has occurred within each block over a configurable lookback period. In volume-based mode, it calculates the proportional volume contribution of every candle that passes through each price level, weighting wider-range candles less per level and concentrated candles more. In candle-count mode, it simply tallies how many candles interacted with each level regardless of volume. The result is a granular map of where the market has spent the most energy.
Once all levels are scored, a percentile filter removes the noise. Only blocks that rank above your chosen liquidity filter threshold are displayed, so the chart shows exclusively the highest-concentration zones. Blocks below the current price are shaded green (support), while blocks above are shaded red (resistance), with color intensity increasing as concentration rises. Adjacent qualifying blocks are automatically merged into larger contiguous zones for a cleaner visual.
The multi-timeframe engine runs the entire analysis on a user-selected higher timeframe and projects the results onto your current chart. This reveals where significant liquidity pools exist on timeframes you may not be watching, giving you a cross-timeframe edge in identifying where price is likely to stall, reverse, or accelerate.
Dated Liquidity Heatmap charts from the public proof archive: what the indicator marked, and how price behaved around it. No win-rate claims.
Gold 1-hour chart. Dense liquidity heatmap with 97 support and 95 resistance zones. Gold's session-driven volume creates highly defined liquidity clusters that price respects.
Ethereum 1-hour chart. Heatmap reveals support and resistance liquidity clusters across multiple sessions. Dense support zones below price validated by volume concentration.
Ethereum 15-minute chart with liquidity heatmap zones. The indicator maps support and resistance clusters where institutional liquidity congregates, validating key trading levels.
Analyzes trading activity across price levels and identifies where the highest concentrations of volume and candle interaction exist.
Filters out low-significance levels and displays only the most meaningful liquidity clusters, keeping the chart clean and actionable.
Runs the entire liquidity analysis on a configurable higher timeframe and projects the results onto your current chart for cross-timeframe insight.
Color-coded from green (support below price) to red (resistance above), with multiple intensity tiers for the strongest concentration zones.
Practical ways to trade with Liquidity Heatmap.
Price tends to gravitate toward the densest liquidity zones. When price is moving toward a high-intensity heatmap cluster, expect a reaction at the zone boundary.
Gaps between heatmap zones represent areas with minimal historical trading activity. Price tends to move quickly through these voids, creating breakout opportunities.
When the higher-timeframe heatmap zone aligns with a zone on your trading timeframe, the confluence creates an especially high-probability reaction level.
Key settings you can configure in TradingView. See the full setup guide for detailed walkthroughs.
| Parameter | Type | Default | Description |
|---|---|---|---|
| Liquidity Filter | int | 85 | Percentile threshold for displaying zones. At 85, only the top 15% of liquidity concentrations are shown. Lower values show more zones. |
| Block Size | string | Large | Controls the grid resolution: Large for broader zones, Medium for moderate detail, Small for fine-grained price levels. |
| Volume-Based Cloud | bool | true | When enabled, evaluates liquidity based on volume concentration. When disabled, uses candle count within each zone. |
| Lookback Period | int | 300 | Number of past candles to analyze. Larger values capture more history but may include less relevant older data. |
| Higher Timeframe | timeframe | 60 | Runs the liquidity analysis on this timeframe and projects results onto your chart. |
The default 85 percentile filter ensures only the most significant zones appear. Lowering it too much creates visual noise that defeats the purpose of the heatmap.
For high-volume markets like BTC, ES, or major forex pairs, volume-based analysis gives the most accurate liquidity picture. Switch to candle-based for lower-volume instruments.
Large blocks work well on higher timeframes for a broad liquidity overview. Switch to Small on lower timeframes for more precise zone identification.
It shows the zones where large-player activity is most likely concentrated, not individual orders. Resting order data is not public on most markets, so the heatmap infers liquidity by measuring where the heaviest volume and candle interaction has occurred at each price level over the lookback period. Dense green zones below price mark support where buying interest has accumulated; dense red zones above price mark resistance where selling interest sits. These high-concentration zones are where price most often stalls, reverses, or accelerates.
Volume-based mode weights each price level by the proportional volume of candles that pass through it, giving more significance to levels where heavy volume was traded. Candle-count mode simply counts how many candles interacted with each level regardless of volume. Volume-based mode is generally more accurate for liquid markets like major forex pairs and crypto, while candle-count mode can be useful on instruments with unreliable or unavailable volume data.
Large blocks (10 divisions) provide a broad overview of liquidity distribution and work well on higher timeframes or for swing trading. Medium blocks (30 divisions) offer a balanced view suitable for most trading styles. Small blocks (60 divisions) provide the most granular detail and are ideal for intraday scalping where you need precise level identification. Start with Medium and adjust based on how much detail you need.
The liquidity filter sets a percentile threshold that determines which zones are displayed. At the default value of 85, only price levels that rank in the top 15% of all measured activity are shown. Increasing this value (e.g., to 95) shows only the most extreme concentrations, while decreasing it (e.g., to 70) reveals more zones. Higher values keep the chart cleaner and highlight only the most significant levels.
The heatmap recalculates at each new higher-timeframe period based on the lookback window, so the current projection updates as new data arrives. Once a new timeframe period begins, the previous zones remain fixed on the chart as historical reference points. The zones you see forming on the right edge represent the live calculation and will update until the current period closes.
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