Liquidity Swings [Nix]Liquidity Swings Indicator!
It marks recent swing highs and lows on the chart using lines and labels.
Another great feature is that it tracks whether those swing levels are SWEPT (price crosses them again) and either:
Removes swept levels, or
Fades them to indicate they’ve been taken.
You can customize:
Number of swings shown.
Colors, styles, and visibility of lines/labels.
Whether to show highs, lows, or both.
Useful for liquidity analysis.
Usually when these special swings are swept, you can consider moving stops to BE. This is because there should be enough stop losses at the swing points to liquidate others and give more fuel to your trade direction!
스크립트에서 "liquidity"에 대해 찾기
Liquidity-Quant Execution Score (LQES)Liquidity-Quant Execution Score (LQES)
Precision execution insights made simple — your go-to score for market clarity.
What you see:
A dynamic line score plotted clearly below your chart that reflects the market’s execution strength.
Color-coded threshold bands —
The upper red band signals zones where caution is advised (potential bearish conditions).
The lower green band marks areas of potential bullish strength.
A shaded purple zone between the bands that highlights “normal” or neutral conditions.
Features:
Designed to give you a clear sense of market execution dynamics without complex numbers.
Adjustable input parameters allow you to tailor the sensitivity and timeframe to your strategy.
Includes fixed alert conditions to notify you when the score crosses key zones — so you never miss important signals.
How to use it:
Watch for the score crossing above the upper red line — this could hint at increasing market pressure to the downside.
When the score drops below the lower green line, it may suggest bullish momentum picking up.
Use the middle purple zone to identify calm or balanced periods — ideal for preparation or cautious trading.
Why traders rely on LQES:
This indicator translates complex market execution data into one straightforward, visually intuitive score — making it easier to spot shifts in liquidity and price action that matter most for smart entries and exits.
No need to second guess. Just watch the score, respect the zones, and integrate it smoothly with your trading plan.
GLOBAL LIQUIDITY (Simple Proxy)I know there are many global liquidity indicators out there similar to this one.
This one just adds a little bit of more options for visualize different central banks and either stack data, see year over year changes, or visualize separate unstacked data.
Swing Levels and Liquidity - By LeviathanThis script will plot pivot points (swing highs and lows) in the form of lines, boxes or labels to help you identify market structure, “liquidity” areas, swing failure patterns, etc. You are also able to see the volume traded at each pivot point, which will help you compare their significance.
Bars Left-Right
A pivot high (swing high) is a bar in a series of bars that has a higher value than the bars around it and a pivot low (swing low) is a bar in a series of bars that has a lower value than the bars surrounding it. The Bars Left and Bars Right parameters are used to define the number of bars on the left and right sides of a pivot point that the function should consider when identifying pivot highs and lows in a time series. For example, if Bars Left is set to 5 and Bars Right is set to 6, the function will look for a pivot point by comparing the value of the current bar with the values of the 5 bars to its left and the 6 bars to its right. If the value of the current bar is higher than all of these bars, it is considered a pivot high point. These parameter can be used to adjust the sensitivity of the script (lowering the Bars Left and Bars Right parameters will give you more swing points and increasing the Bars Left and Bars Right parameters will give you fewer swing points).
”Show Boxes” - This will draw a box above the swing high and a box below the swing low to help you visualise a large area of interest around swing points. Additional box types and the width of the box can be adjusted in Appearance settings below.
”Show Lines” - This will draw a horizontal line at the level of each swing high and swing low.
”Show Labels” - This will plot a circle at the high point of each swing high and at the low point of each swing low.
”Show Volume” - This will display the amount of volume traded in a given swing point candle. It can help you identify the significance of a given swing point by comparing it to the volumes of other swing points.
”Extend Until Filled” - This will extend the swing point levels until they are mitigated by the price. Turning it off will continue plotting the levels just a few more bars after a swing point occurs.
”Appearance” - You can show/hide swing points, choose the colors of labels, lines and boxes, choose the size and positioning of the text, choose line and box appearance (adjust the Box Width when switching between timeframes!) and more.
More updates coming soon (MTF, more data…)
Candle Wick Patterns Alerts & Liquidity TargetsCandle wicks provide incredibly useful confluence and confirmation of price action and technical analysis.
Quite simply a wick is formed by price being moved to an extreme by one side, then price being pushed back by the other side.
This can show increased pressure by one side, reduced or increased momentum, or exhaustion by another side.
This indicator while simple, is extremely powerful and versatile and can be set up to recognize numerous types of candle wick and therefore suit numerous trading styles.
The settings as to how wicks are highlighted are:
- Timeframe - view wicks on a higher timeframe while trading on a lower timeframe
- Minimum Wick to Body Ratio - increasing this value will look for wicks who are at least n times larger than the candle body. The most obvious examples here are Doji's - hammer, gravestone, dragonfly, etc. These can indicate trend reversals, indecision and changing momentum.
- Minimum Candle Body as percent of price - this value makes sure that any wick highlighted, belongs to a candle with a body that is at least n% of the price. A higher value is likely to show price momentum is stronger in a particular direction, good for confirming a trend.
- Minimum Candle Wick as percent of price - similar to candle bodies, this value will make sure the candle wick is at least n% of the price. This will identify large fluctuations in price, and if you are familiar with smart money concepts, an increasingly popular strategy is to target 50% of the wick being filled (liquidity).
- Show half fill level of wick - As above, this can provide a good target, which price will be drawn to, depending on the wick.
Finally, the indicator can be used to create alerts when a new wick that meets your settings criteria, is formed.
And don't forget you can add the indicator multiple times, with different settings to cover multiple scenarios and timeframes!
Untapped Forceable LiquidityUses likely stop placements and liquidation points to visualize where there may be forceable buy or sell orders on the chart.
Good for catching wicks for entries or to see whether the bulls or the bears are in control. For example, a wick down into a liquidity point and a close back above it may be seen as bullish as the sell pressure was overwhelmed by the bulls.
Anyways, I like to use it for game theorizing for trend analysis.
Liquidity Mix- Supply and DemandLiquidity Mix highlights developing and confirmed supply/demand zones and optional trade guides with entries, stops, targets, and risk/reward math. Benefits: see high-probability reaction areas early, size positions automatically from your risk input, track reward multiples, and receive optional alerts when price tags zones or entries—all in one overlay.
Liquidity Engulfing Candles [upslidedown]Liquidity engulfing candles (LEC) are a variant of a common candlestick pattern: engulfing candles but with a couple extra conditions applied. These conditions expect highs/lows to be taken out in order to show a continuation or reversal signal.
Filter 1: Stop Hunt Wick Filter
This filter requires the candle to wick into the prior candles high or low ( bullish = wick below prior candle lows). This is the stop hunt.
Filter 2: Close Filter
This filter requires the candle to close above or below above the prior candle ( bullish = close above prior candle high). This is the confirmation.
This idea was introduced to me by @attrk632. Thanks, mate!
Hidden BreakerHidden Breaker
DESCRIPTION
The Hidden Breaker identifies Order Blocks and tracks their transformation when they interact with Fair Value Gaps. It displays both standard Order Blocks and those modified by FVG (Breaker Blocks) across multiple timeframes within a single chart view.
METHODOLOGY ORIGIN
This indicator is based on concepts from the MoneyTaur trading methodology, which focuses on identifying Order Blocks hidden behind Fair Value Gaps from the multi-timeframe perspective.
WHAT MAKES THIS UNIQUE
- Box Management System: User-controlled box allocation through dynamic filters, ensuring all detected blocks remain visible within Pine Script's 500 box limit. Users can manage which blocks to display through price range and filter adjustments.
- Creates unified columnar visualization
- Processes 70+ timeframes (incl custom)
- Tracks each block's complete lifecycle
KEY FEATURES
Order Blocks (OB): Detects engulfing candle patterns between candle bodies with customizable deviation tolerance.
Breaker Blocks (BB): Order Blocks (candle body) that crossed Fair Value Gaps by 100% without being touched by wicks.
Partial Breaker Blocks (PBB): Candle bodies that didn't fit 100% within an FVG or were partially mitigated by wicks. Min BB size in % after passing FVG is adjustable within filter.
Multi-Timeframe Analysis: Processes 70+ timeframes without repainting
Visual Organization: Displays blocks in columns by timeframe for easy comparison. Spacing is adjustable within menu.
FVG Counter: Shows interaction count (1-5) for each block
Statistics Table: Real-time monitoring of detected blocks
Price Range Filter: Manages Pine Script's 500 box limit effectively
HOW IT WORKS
The indicator uses a three-stage detection process:
Stage 1 - Order Block Detection:
Identifies engulfing patterns where one candle body fully engulfs the body of the previous opposite candle. The system allows for small price deviations. The detected zone spans from the open to close of the engulfed candle.
Stage 2 - FVG Interaction:
Monitors for Fair Value Gaps that occur when the candle's low is above the high from two candles ago (bullish gap) or when the high is below the low from two candles ago (bearish gap). When such a gap overlaps an existing Order Block, the system evaluates:
Checks whether the OB’s body is fully contained within the FVG range (passed 100% through it without wick contact) — shown as 1H | 1, where 1H is the timeframe and 1 the FVG count.
The percentage of the OB body retained within the FVG after zone adjustment is filter-controlled.
Directional bias is inherited from the FVG.
Blocks with multiple FVG interactions (counted 1–5+) allow filtering of BBs based on their FVG overlap frequency.
Stage 3 - Single or Multi-Timeframe Processing:
Collects data from multiple timeframes simultaneously, processes it without repainting, and displays horizontal boxes with timeframe labels arranged in vertical columns, where each timeframe occupies its own designated horizontal space for clear visual separation.
DETECTION CRITERIA
Order Block: Engulfing with body-to-body alignment within adjustable deviation tolerance
Breaker Block: OB that intersects with subsequent FVG. When filter is set to 100%, shows only BBs where the body fully passed through FVG without wick touches.
Partial Breaker Block (PBB): An Order Block partially intersected by an FVG or partially mitigated by a subsequent candle, narrowing the original Breaker Block range.
FVG validation: Gap between candles 1 and 3
VISUAL GUIDE
Green: Bullish Order Blocks
Red: Bearish Order Blocks
Blue: Bullish Breaker Blocks
Orange: Bearish Breaker Blocks
Teal: Bullish Partial Breaker Blocks
Purple: Bearish Partial Breaker Blocks
Numbers: FVG interaction count (1-5)
Percentages: Remaining unmitigated area
SETTINGS
Block Type Selection: Choose to display OB only, BB/PBB only
Deviation (%): Tolerance for engulfing pattern detection
Min Engulfing Impulse (%): Minimum required price movement for valid engulfing
FVG Filter: Set minimum FVG count required (1-5)
Min BB Size after FVG (%): Minimum remaining size of an BB after passing an FVG
Hide if Mitigated More Than (%): Visibility threshold for partially mitigated blocks
Price Range Filter (%): Limit Block detection to specific price ranges from current price
Price Range Axis (%): Offset reference point for price range
Timeframe Groups: Select from 6 predefined groups or custom timeframes
Max Bars to Scan: Historical lookback period (100-10000)
Replay Mode: used for historical backtesting and visual analysis for higher TF data.
TIMEFRAME GROUPS
Group 1: Minutes & Short Hours (5m-4H)
Group 2: Extended Hours (5H-23H)
Group 3: Days (1D-19D)
Group 4: Weeks (1W-12W)
Group 5: Months (1M-12M)
Group 6: 19 Custom timeframes
USAGE NOTES
Select appropriate timeframe groups for your analysis style
Adjust deviation and impulse settings based on market volatility
Use FVG filter to focus on blocks with multiple gap interactions
Monitor the statistics table to ensure box count stays under 500. If approaching limit, narrow the price range filter
Each box shows its description aligned vertically by timeframe
TECHNICAL SPECIFICATIONS
Pine Script Version 6
Default scan range: 5000 historical bars
Maximum 500 boxes per chart (Pine Script limitation)
Non-repainting calculations
Compatible with all markets and timeframes
Optimized memory management for multi-timeframe processing
TERMS AND CONDITIONS
This indicator and its documentation do not constitute financial or investment advice.
Users should make independent trading decisions and accept full responsibility for their outcomes.
Use of this tool implies that you understand the risks of financial markets and agree that the author is not liable for any loss or damage arising from its use.
This indicator is designed solely as a visualisation tool to assist with chart analysis.
It does not teach, promote, or automate any specific trading strategy, concept, or methodology.
All visual elements — such as OBs, BBs, PBBs, FVGs, and related interactions — are intended to support manual study and backtesting, not to generate trading signals.
Past performance does not guarantee future results. By using this tool, users agree to these terms.
LiquidityThe liquidity swings indicator highlights swing areas with existent trading activity. The number of times price revisited a swing area is highlighted by a zone delimiting the swing areas. Additionally, the accumulated volume within swing areas is highlighted by labels on the chart. An option to filter out swing areas with volume/counts not reaching a user-set threshold is also included.
This indicator by its very nature is not real-time and is meant for descriptive analysis alongside other components of the script. This is normal behavior for scripts detecting pivots as a part of a system and it is important you are aware the pivot labels are not designed to be traded in real-time themselves.
🔶 USAGE
The indicator can be used to highlight significant swing areas, these can be accumulation/distribution zones on lower timeframes and might play a role as future support or resistance.
Swing levels are also highlighted, when a swing level is broken it is displayed as a dashed line. A broken swing high is a bullish indication, while a broken swing low is a bearish indication.
Filtering swing areas by volume allows to only show significant swing areas with an higher degree of liquidity. These swing areas can be wider, highlighting higher volatility, or might have been visited by the price more frequently.
🔶 SETTINGS
Pivot Lookback : Lookback period used for the calculation of pivot points.
Swing Area : Determine how the swing area is calculated, "Wick Extremity" will use the range from price high to the maximum between price close/open in case of a swing high, and the range from price low to the minimum between price close/open in case of a swing low. "Full Range" will use the full candle range as swing area.
Intrabar Precision : Use intrabar data to calculate the accumulated volume within a swing area, this allows obtaining more precise results.
Filter Areas By : Determine how swing areas are filtered out, "Count" will filter out swing areas where price visited the area a number of time inferior to the user set threshold. "Volume" will filter out swing areas where the accumulated volume within the area is inferior to the user set threshold.
🔹 Style
Swing High : Show swing highs.
Swing Low : Show swing lows.
Label Size : Size of the labels on the chart.
LiquidityFlow Dominance+Alerts (btc.d, T3, Stables)LiquidityFlow Dominance+Alerts: Overview & Usage Guide
Overview
The LiquidityFlow Dominance+Alerts indicator provides a dynamic view of liquidity flow across Bitcoin, Altcoins, and Stablecoins, helping track liquidity shifts and identify market sentiment. By integrating moving averages, custom alerts, and thresholds for extreme outliers, this indicator helps to anticipate bullish and bearish shifts in liquidity and alert market tops and bottoms.
Key features include:
1. Liquidity Flow Monitoring : Track liquidity flow across Bitcoin (BTC), Altcoins (TOTAL3), and Stablecoins (USDT, USDC, DAI).
2. Custom Alerts : Set alerts for key liquidity shifts and extreme conditions in Stablecoin dominance, both with static and moving average (MA)-based calculations.
3. Moving Averages : Use Simple, Exponential, or Weighted Moving Averages to smooth out market data for more reliable signals.
4. Outlier Detection : Identify potential tops and bottoms using thresholds for Stablecoin dominance, with alerts for extreme movements.
Functionality
Data Inputs and Key Metrics
- Symbols Monitored:
- Bitcoin Dominance (BTC.D)
- Altcoin Market Cap (TOTAL3)
- Stablecoins (USDT.D, USDC.D, DAI.D)
- Liquidity Flow Conditions:
- Track percentage changes in dominance across sectors to detect liquidity flow into Bitcoin, Altcoins, or Stablecoins.
- Custom Metrics:
- Liquidity Flow Index: BTC Dominance minus Stablecoin Dominance.
- Liquidity Flow Ratio: BTC Dominance divided by the combined dominance of Stablecoins and Altcoins.
Moving Average Integration
- Select from SMA, EMA, or WMA to apply moving averages to the dominance metrics. Moving averages help smooth out short-term volatility and provide more consistent signals.
- Moving averages are applied to each sector (BTC, Altcoins, and Stablecoins) and compared to their previous period values to determine shifts in liquidity.
Alerts and Thresholds
- % Change Lookback Period: Adjust the lookback period to align with the timeframe of your chart. Shorter timeframes may require a lower lookback period, while higher timeframes may benefit from longer periods.
- Stables Bull/Bear % for Alerts: Set a threshold for when Stablecoin dominance becomes a bullish or bearish signal relative to BTC and Altcoins. A higher threshold may be used in volatile markets to filter out noise.
- Extreme Outliers Detection: Use the **Stables Up/Down Extreme Threshold** to identify potential market tops or bottoms when Stablecoin dominance deviates significantly from historical trends. The **Extreme Lookback Period** controls the time window for detecting these anomalies.
How to Use the Indicator
Adjusting the % Change Lookback Period
- The `% Change Lookback Period` should be adjusted based on your chart’s timeframe. For example, a shorter period (e.g., 7) works well for intraday charts, while longer periods (e.g., 14) might be more suitable for daily or weekly charts.
Setting Thresholds for Alerts
- Stables Bull/Bear % for Alerts: Adjust this setting to define when Stablecoin dominance triggers bullish or bearish alerts. A value like 1% could be a good starting point for most market conditions but can be fine-tuned based on volatility.
- Extreme Lookback Period: Define the lookback period for detecting extreme moves in Stablecoin dominance. This will help identify major tops and bottoms in the market. For shorter-term trades, consider using a shorter extreme lookback (e.g., 7-10 periods).
Alerts for Liquidity Shifts
- The indicator supports alerts for key liquidity shifts, which are useful for staying ahead of market movements. Alerts can be set to notify you when liquidity moves into:
- Bitcoin: Indicating a potential bullish trend for Bitcoin.
- Altcoins: Signaling altcoins are bullish.
- Stablecoins: Suggesting a risk-off environment or market correction.
Extreme Alerts for Stables
- Extreme Up/Down Alerts: These are triggered when Stablecoin dominance crosses extreme thresholds. For example, if Stablecoin dominance rises more than 14% over a set period, it could signal a market top, while a significant drop could indicate a market bottom.
Moving Average Calculations
- In addition to static percentage changes, moving averages can be applied to smooth out dominance values. The type and length of the moving average can be customized:
- SMA (Simple Moving Average): Best for smoothing out volatility in a linear way.
- EMA (Exponential Moving Average): More responsive to recent data, making it useful in faster markets.
- WMA (Weighted Moving Average): Emphasizes more recent data, but less reactive than the EMA.
Additional Usage Tips:
- Background Colors: The indicator visually highlights the dominant liquidity flow:
- Orange: Liquidity is shifting toward Bitcoin.
- Aqua: Liquidity is flowing into Altcoins.
- Red: Liquidity is moving into Stablecoins.
Liquidity Market Seeking SwiftEdgeThis indicator is designed to identify potential liquidity levels on the chart by detecting swing highs and lows, which are often areas where stop-loss orders or significant orders accumulate. It visualizes these levels with horizontal lines and labels on the right side of the chart, color-coded based on volume to help traders understand where the market might seek liquidity.
How It Works
Swing Highs and Lows: The indicator uses the ta.pivothigh and ta.pivotlow functions to identify significant swing points over a user-defined lookback period (Swing Length). These points are considered potential liquidity levels where stop-loss orders might be placed.
Volume Analysis: The indicator compares the volume at each swing point to the average volume over a specified period (Volume Average Length). Levels with above-average volume are colored red, indicating higher liquidity, while levels with below-average volume are colored green.
Liquidity Visualization: Horizontal dashed lines are drawn at each identified level, extending across the chart. Labels on the right side display the estimated liquidity amount (simulated based on volume and a multiplier, Volume Multiplier for Liquidity).
Sell Signal: A "SELL NOW" label appears when the price approaches a liquidity level after an uptrend (detected using a simple moving average crossover). This suggests a potential reversal as the market may target liquidity at that level.
Strategy Concept: Market Seeking Liquidity
The indicator is based on the concept that markets often move toward areas of high liquidity, such as clusters of stop-loss orders or significant order accumulations. These liquidity pools are typically found around swing highs and lows, where traders place their stop-losses or large orders. By identifying these levels and highlighting those with higher volume (red lines), the indicator aims to show where the market might move to "grab" this liquidity. For example, after an uptrend, the market may reverse at a swing high to take out stop-losses above that level, providing liquidity for larger players to enter or exit positions.
Settings
Swing Length: The number of bars to look back for detecting swing highs and lows. Default is 20.
Liquidity Threshold: The price threshold for merging nearby levels to avoid duplicates. Default is 0.001.
Volume Average Length: The period for calculating the average volume to compare against. Default is 20.
Volume Multiplier for Liquidity: A multiplier to scale the volume into a simulated liquidity amount (displayed as "K"). Default is 1000.
Usage Notes
Use this indicator on any timeframe, though it may be more effective on higher timeframes (e.g., 1H, 4H) where swing points are more significant.
Red lines indicate levels with higher volume, suggesting stronger liquidity pools that the market might target.
Green lines indicate levels with lower volume, which may be less significant.
The "SELL NOW" signal is a basic example of how to use liquidity levels for trading decisions. It appears when the price approaches a liquidity level after an uptrend, but it should be used in conjunction with other analysis.
Adjust the Volume Multiplier for Liquidity to scale the displayed liquidity amounts based on your instrument (e.g., forex pairs may need a higher multiplier than indices).
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
Stop Hunts [MK]Liquidity rests above/below previous highs and lows because these are the areas where traders are most likely to leave their orders/stop losses. The market can tap into this liquidity source by going beyond the previous highs and lows, this liquidity can then be used to reverse the market in the opposite direction.
As traders we may want to know if price will continue beyond previous highs and lows, or reverse the market. If price looks to be reversing after tapping into liquidity, this can be a good area to enter a trade. The same area can be used as a take profit level also.
The indicator identifies previous high/lows in two ways:
1. previous high/lows using 'PIVOT POINTS'. Pivots are easy to spot and are obvious within a price trend. Also called 'higher highs", "lower lows" etc. The number of candles required to form the pivot point can be adjusted in the script settings.
see below example of pivot point and stop hunt:
www.tradingview.com
see how price reversed upwards after stop hunt on pivot point above.
2. previous candle high/lows. A previous candles high and low are also good areas of liquidity.
see below example of previous candle stop hunt:
see how price reversed upwards after stop hunt on previous candle low above.
Personally, I use the pivot point stop hunts on lower timeframes and previous candle stop hunts on higher timeframes. However users can adjust on which timeframes to show the indicator depending on their own trading style.
As ever all items within 'settings' are customizable.
The indicator is by no means a 'trading strategy' and users should be fully aware of the stop hunt concept and have conducted extensive back-testing before using with 'live' accounts.
The indicator may also serve as a 'teaching aid' to new students and as a reminder to more experienced traders.
Liquidity-Finder ICT / SMCIn the context of ICT and the Smart Money Concept, liquidity is likely viewed as a crucial factor for determining the strength and sustainability of a market move. Smart Money is often associated with large institutional traders who have the ability to influence liquidity.
Liquidity Sweep:
A liquidity sweep in this context might involve Smart Money intentionally executing trades across various price levels to assess market depth and liquidity. This information can be used to identify potential areas of interest for Smart Money to initiate or exit positions without causing significant price disruptions.
Stop Hunt:
Stop hunting is a concept that Smart Money traders may employ to deliberately trigger stop orders in the market. By doing so, they can create temporary price movements that allow them to accumulate or liquidate positions at more favorable prices before the market reacts.
Smart Money Concept (SMC):
The Smart Money Concept revolves around the idea that large institutional traders (Smart Money) have superior information and resources compared to retail traders. Understanding the behavior of Smart Money, as taught in ICT and SMC, involves analyzing market dynamics, order flow, and liquidity to make more informed trading decisions.
Liquidating:
Liquidating refers to the process of selling or closing out existing positions. In the context of Smart Money, the term could imply that institutional traders are actively managing their positions, either taking profits or cutting losses strategically based on their analysis of market conditions.
The Indicator
The Indicator show open liquidity as solid lines and liquidates liquidity as dashed lines
Is able to send alerts for liquidity level was liquidated, liquidity level was dipped or the next close is on the other side
Liquidity Hunt SwiftEdgeThe "Liquidity Hunt Dashboard By SwiftEdge" indicator is designed to assist traders in identifying potential liquidity zones by placing a dynamic target line based on swing points and weighted liquidity. It leverages technical analysis tools such as SMA (Simple Moving Average), pivot points, and volume to predict market movements and provides daily statistics on hits and success rate. The target line updates automatically when the price hits it, adapting to the market trend (up, down, or neutral). A dashboard displays the current price, target level, prediction, and trend, making it easy to make informed trading decisions.
Features:
Target Line: A yellow dashed line marks the next expected liquidity level (up to approximately 20 pips away on 1m).
Prediction: Displays "Up (Chasing Sell Liquidity)," "Down (Chasing Buy Liquidity)," or "Neutral" based on trend and liquidity.
Daily Statistics: Tracks hits and success rate, resetting daily.
Trend Indicator: Shows market direction ("Up," "Down," or "Neutral") in the dashboard.
Dynamic Updates: The line moves to a new target level when the price hits the current target.
Recommended Settings for 1-Minute Timeframe:
For Indices (e.g., S&P 500):
Lookback Period: 180 (3 hours to capture more stable swing points).
Max Distance (%): 0.015 (approximately 15 pips, suitable for indices).
Cooldown Period: 5 (stabilizes after hits).
Line Duration: 60 (displays the line for 1 hour).
For Crypto (e.g., BTC/USD):
Lookback Period: 120 (2 hours to capture short-term swing points).
Max Distance (%): 0.024 (approximately 20 pips, suitable for volatile crypto markets).
Cooldown Period: 5.
Line Duration: 60.
For Forex (e.g., EUR/USD):
Lookback Period: 180 (3 hours for greater data density in less volatile markets).
Max Distance (%): 0.012 (approximately 10-12 pips, suitable for forex).
Cooldown Period: 5.
Line Duration: 60.
Guide for Higher Timeframes:
This indicator can be adapted for higher timeframes (e.g., 5m, 15m, 1H) by adjusting the settings to account for larger price movements and slower market dynamics. Follow these steps:
Select Your Timeframe: Switch your chart to the desired timeframe (e.g., 5m, 15m, or 1H).
Adjust Lookback Period: Increase the "Lookback Period" to cover a longer historical period. For example:
5m: Set to 360 (equivalent to 6 hours).
15m: Set to 480 (equivalent to 8 hours).
1H: Set to 720 (equivalent to 12 hours).
Adjust Max Distance (%): Higher timeframes require larger targets to account for bigger price swings. For example:
5m: Increase to 0.05 (approximately 50 pips).
15m: Increase to 0.1 (approximately 100 pips).
1H: Increase to 0.2 (approximately 200 pips).
Adjust Cooldown Period: On higher timeframes, you may want a longer cooldown to avoid frequent updates. For example:
5m: Set to 10.
15m: Set to 15.
1H: Set to 20.
Adjust Line Duration: Extend the duration the line is displayed to match the timeframe. For example:
5m: Set to 120 (equivalent to 10 hours).
15m: Set to 240 (equivalent to 60 hours).
1H: Set to 480 (equivalent to 20 days).
Monitor the Dashboard: The dashboard will still show the target level, prediction, and trend, but the values will now reflect the larger timeframe's dynamics.
Usage Instructions:
Set your chart to a 1-minute timeframe (or follow the higher timeframe guide).
Adjust the settings based on the market and timeframe (see recommendations above).
Monitor the dashboard for the current price, target level, and prediction.
Use the yellow line as a potential entry or exit level, and adjust your strategy based on the trend and statistics.
Notes:
This indicator is intended solely for educational and analytical purposes and should not be considered financial advice.
Test the indicator on a demo account before using it with real funds.
The indicator complies with TradingView guidelines by not providing trading advice, automated trading signals, or guarantees of profit.
Liquidity Sweep Detector (@Anitrading) 💧 Liquidity Sweep Detector (@ Antitrading) - Catching the Liquidity Trap
Welcome to a powerful and refined liquidity detection system designed to help you identify crucial liquidity zones and, more importantly, "Liquidity Sweeps" – the areas where smart money often traps retail traders.
This indicator is built upon the principles of Smart Money Concepts (SMC) and advanced Price Action, offering you a clearer view of what's truly happening in the market, where liquidity acts as the "bait" and the engine driving price movement.
🔑 Key Features
1. Reliable Liquidity Level Detection:
Swing Highs/Lows: Automatically identifies significant Swing Levels based on a customizable Pivot Length.
Level Strength Measurement: Utilizes a proprietary algorithm to calculate the Strength of each level based on the number of touches and the trading volume at those touches. Only sufficiently strong levels are displayed, reducing noise and focusing on truly pivotal areas.
Equal Highs/Lows (EQH/EQL): Specifically identifies Double Liquidity Zones (e.g., Double/Triple Tops/Bottoms) – often considered the largest "pockets of liquidity" and prime targets for sweeping.
2. Robust Liquidity Sweep Detection:
The indicator requires more than just a price break. A confirmed Liquidity Sweep must satisfy 3 stringent conditions for higher reliability:
Level Break: Price must break the Swing Level or Equal Level.
Strong Rejection: The closing candle must show a strong rejection (small body, long wick) where the rejection size exceeds a certain ATR threshold.
Volume Spike: The volume on the sweep candle must be significantly higher than the average (determined by the Volume Multiplier), indicating large institutional participation.
Upon a sweep, the old Level is removed and replaced with a 💧 High Sweep or 💧 Low Sweep label and a Sweep Box to visualize potential entry areas.
3. Customizable Alerts:
Set up instant alerts when a Liquidity Sweep event is confirmed, ensuring you don't miss high-probability trade setups (Potential LONG/SHORT setup).
💡 Trading Philosophy
"The market operates by hunting liquidity. When a key price level is broken, it is often a trap to grab the stop losses of early buyers/sellers before the market reverses in the opposite direction."
The Liquidity Sweep Detector is the perfect tool to "Trade with Smart Money":
High Sweep (SH/EQH Sweep): Signals a potential bearish reversal (Short Setup).
Low Sweep (SL/EQL Sweep): Signals a potential bullish reversal (Long Setup).
Use this indicator to confirm your entry point after the price has "cleared" the necessary liquidity and is ready to move in the anticipated direction.
Install now and experience the difference!
Don't forget to share your feedback so we can continue to improve this tool.
Liquidity Lines 2.0Liquidity Lines Indicator Description:
This indicator detects points of liquidity based on reversals in price action. It simulates simple moving average (SMA) candles and identifies when raw price candles engulf either the low of a bullish SMA candle or the high of a bearish SMA candle. The liquidity point is then placed at the high of the bearish SMA candle or the low of the bullish SMA candle. These levels often correspond to areas where many traders place stop-loss orders and can provide insight into where “smart money” might be hunting liquidity.
Features and Alerts:
Liquidity Lines automatically track upper and lower liquidity levels and plot them as customizable horizontal lines on the chart. Users can adjust line length, color, width, and style, and choose whether lines extend to the right. The indicator also detects when these liquidity levels are “swept” by price and triggers alerts in real time, allowing traders to be notified of potential stop-loss hunts or key market reactions as they happen. This makes it easy to monitor critical liquidity zones without constantly watching the chart.
How to Use Strategically:
Traders can use these liquidity points to anticipate potential price reactions. For example, if price approaches a lower liquidity line from above, it may act as support or a zone where stop orders are being triggered. Conversely, an upper liquidity line may act as resistance or a trigger zone for stops above the market. Combining these levels with your existing market structure, trend analysis, or confirmation signals can help identify high-probability entries, exits, and areas where smart money activity may occur.
Liquidity Sweep DetectorThe Liquidity Sweep Detector represents a technical analysis tool specifically designed to identify market microstructure patterns typically associated with institutional trading activity. According to Harris (2003), institutional traders frequently employ tactics where they momentarily break through price levels to trigger stop orders before redirecting the market in the opposite direction. This phenomenon, commonly referred to as "stop hunting" or "liquidity sweeping," constitutes a significant aspect of institutional order flow analysis (Osler, 2003). The current implementation provides retail traders with a means to identify these patterns, potentially aligning their trading decisions with institutional movements rather than becoming victims of such strategies.
Osler's (2003) research documents how stop-loss orders tend to cluster around significant price levels, creating concentrations of liquidity. Taylor (2005) argues that sophisticated institutional participants systematically exploit these liquidity clusters by inducing price movements that trigger these orders, subsequently profiting from the ensuing price reaction. The algorithmic detection of such patterns involves several key processes. First, the indicator identifies swing points—local maxima and minima—through comparison with historical price data within a definable lookback period. These swing points correspond to what Bulkowski (2011) describes as "significant pivot points" that frequently serve as liquidity zones where stop orders accumulate.
The core detection algorithm utilizes a multi-stage process to identify potential sweeps. For high sweeps, it monitors when price exceeds a previous swing high by a specified threshold percentage, followed by a bearish candle that closes below the original swing high level. Conversely, for low sweeps, it detects when price drops below a previous swing low by the threshold percentage, followed by a bullish candle closing above the original swing low. As noted by Lo and MacKinlay (2011), these price patterns often emerge when large institutional players attempt to capture liquidity before initiating significant directional moves.
The indicator maintains historical arrays of detected sweep events with their corresponding timestamps, enabling temporal analysis of market behavior following such events. Visual elements include horizontal lines marking sweep levels, background color highlighting for sweep events, and an information table displaying active sweeps with their corresponding price levels and elapsed time since detection. This visualization approach allows traders to quickly identify potential institutional activity without requiring complex interpretation of raw price data.
Parameter customization includes adjustable lookback periods for swing point identification, sweep threshold percentages for signal sensitivity, and display duration settings. These parameters allow traders to adapt the indicator to various market conditions and timeframes, as markets demonstrate different liquidity characteristics across instruments and periods (Madhavan, 2000).
Empirical studies by Easley et al. (2012) suggest that retail traders who successfully identify and act upon institutional liquidity sweeps may achieve superior risk-adjusted returns compared to conventional technical analysis approaches. However, as cautioned by Chordia et al. (2008), such patterns should be considered within broader market context rather than in isolation, as their predictive value varies significantly with overall market volatility and liquidity conditions.
References:
Bulkowski, T. (2011). Encyclopedia of Chart Patterns (2nd ed.). John Wiley & Sons.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Easley, D., López de Prado, M., & O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. The Review of Financial Studies, 25(5), 1457-1493.
Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (2011). A Non-Random Walk Down Wall Street. Princeton University Press.
Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258.
Osler, C. L. (2003). Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis. Journal of Finance, 58(5), 1791-1820.
Taylor, M. P. (2005). Official Foreign Exchange Intervention as a Coordinating Signal in the Dollar-Yen Market. Pacific Economic Review, 10(1), 73-82.
Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Script Name: Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Description: This script analyzes market liquidity using three key indicators: Volume, ATR (Average True Range), and the Chaikin Oscillator. Based on the combination of these indicators, the script identifies three market conditions and visually highlights them with background colors:
High Liquidity Uptrend (Green Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is positive. This indicates strong liquidity with an upward trend in the market.
Alert: "High Liquidity Uptrend detected."
High Liquidity Downtrend (Red Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is negative. This signals strong liquidity but with a downward market trend.
Alert: "High Liquidity Downtrend detected."
Low Liquidity Stagnant Market (Yellow Background):
Occurs when volume is low, and ATR is below the threshold. This suggests a market with low liquidity and minimal price movement, indicating a range or stagnant phase.
Alert: "Low Liquidity Stagnant market detected."
Input Settings Panel:
Volume Threshold: This value sets the minimum volume required to determine high liquidity. If the volume is above this value, it is considered "high volume."
ATR Length: Defines the number of periods used to calculate ATR. The higher the value, the more smoothed the ATR calculation.
ATR Threshold: This sets the minimum ATR value required to signal a market with significant volatility. If ATR is above this value, the market is considered to have high volatility.
These settings allow you to fine-tune the script based on the characteristics of the asset being analyzed.
スクリプト名: 出来高、ATR、チャイキンオシレーターを用いた流動性分析
説明: このスクリプトは、出来高、ATR（平均真値幅）、およびチャイキンオシレーターという3つの主要な指標を用いて市場の流動性を分析します。これらの指標の組み合わせに基づいて、3つの市場状況を特定し、背景色で視覚的にハイライトします。
流動性が高い上昇相場（背景色：緑）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがプラスの場合に発生します。これは、強い流動性と市場の上昇トレンドを示します。
アラート: 「高流動性の上昇トレンドが検出されました。」
流動性が高い下降相場（背景色：赤）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがマイナスの場合に発生します。これは、強い流動性を伴う下降トレンドを示します。
アラート: 「高流動性の下降トレンドが検出されました。」
流動性が低い停滞相場（背景色：黄色）:
出来高が低く、ATRがしきい値以下の場合に発生します。これは流動性が低く、価格変動が少ない、レンジまたは停滞フェーズを示しています。
アラート: 「低流動性の停滞相場が検出されました。」
設定パネルの入力項目:
出来高のしきい値: 高流動性を判定するために必要な最小の出来高を設定します。この値を超える場合、「高出来高」と見なされます。
ATRの期間: ATRを計算する際に使用される期間数を定義します。値が大きいほど、ATRの計算が滑らかになります。
ATRのしきい値: しきい値を超えた場合に市場に大きなボラティリティがあると判断します。この値を上回るATRであれば、ボラティリティが高いと見なされます。
これらの設定により、分析対象の資産の特性に応じてスクリプトを調整できます。
Liquidity ThermometerThis is a universal indicator that assesses market liquidity based on five key market parameters: volume, volatility, candlestick range, body size, and price momentum.
The indicator does not use open interest data and is suitable for all markets, including spot, futures, and Forex.
This indicator normalizes each metric historically and creates a composite index between 0 and 1, where higher values correspond to a stable and calm market environment, and lower values indicate periods of increased risk and potential liquidity stress.
LT generates an integral liquidity index in the range based on five normalized components:
-nVol — normalized volume, reflecting trading density and activity.
-nATR — the volatility component (ATR), inverted, as high volatility is typically associated with declining liquidity.
-nRange — the normalized candlestick range, also inverted to assess the structural narrowness of the price movement.
-nBody — the normalized candlestick body size (|close − open|), inverted to assess the balance of supply and demand.
-nMove — the normalized value of the price impulse movement (|Δclose|), reflecting short-term price spikes.
Each metric is linearly normalized over a sliding window (200 bars) using the formula:
norm(x) = (x − min) / (max − min),
where at max = min, the value is fixed at 0.5 to ensure stability.
The ALT index is calculated as a weighted combination:
ALT = 0.35 nVol + 0.20 (1 − nATR) + 0.20 (1 − nRange) + 0.15 (1 − nBody) + 0.10 (1 − nMove)
The result is further smoothed using EMA(3) to reduce micronoise.
Red Zone (MLI < 0.25) — Risk, Thin Liquidity
When the indicator falls into the red zone, it means the market is extremely volatile:
Characteristics:
Low volume — small trades have a strong impact on the price.
High volatility — candlesticks rise or fall sharply.
Wide candlestick range — the market is "breathing heavily," easily breaking price extremes.
Impulsive movements — small market shocks lead to sharp spikes.
Thin liquidity — few orders in the order book, large orders "eat up" the market.
What this means for a trader:
🔥 High risk of spikes and false breakouts.
⚠ Possible series of liquidations on leverage.
❌ It is not recommended to enter long or short positions without a filter or protection.
✅ Can be used for short scalping strategies if you know the entry point, but very carefully.
Green Zone (MLI > 0.75) — High Liquidity, Safe Zone
When the indicator rises into the green zone, it means the market is stable and balanced:
Characteristics:
High volume — the market is deep, orders are executed without a strong impact on the price.
Low volatility — candlesticks are stable, no sharp spikes.
Narrow candlestick range — price moves calmly.
Weak impulse movements — no sharp surges.
Sufficient liquidity — the market can handle large orders.
What this means for a trader:
✅ Safe zone for opening positions.
🔄 Easier to set stop-loss and take-profit orders.
💡 You can trade both up and down, the risk of sharp movements is minimal.
⚡ Under these conditions, there is a lower risk of spikes and accidental liquidations.
It does not predict price movements or guarantee results. It is an analytical tool intended for additional research into market structure.
Liquidity Hour by Ibramiho v2Liquidity Hour by Ibramiho (Version 2) - Identify High-Potential Reversal Zones
Understanding the pre-New York session hour is crucial for institutional traders. This period is often characterized by increased liquidity and price volatility as major financial players prepare for the upcoming trading day. The Liquidity Hour indicator capitalizes on this phenomenon, automatically pinpointing the candle (by default, in orange) immediately before the New York session opens.
Why Focus on This Candle?
Liquidity Magnet: Institutional traders often use this hour to establish or adjust positions, creating pockets of liquidity.
Breakout and Retracement Potential: The indicator helps you spot potential areas where price might retrace after a breakout, offering high-probability trading opportunities.
Visual Clarity: The highlighted candle acts as a visual anchor, making it easy to identify these key levels on your chart.
How It Works
1. Automatic Detection: The indicator intelligently detects the pre-New York session candle, regardless of your chart's timeframe.
2. Colour Coding: The candle is highlighted in orange (customizable), instantly drawing your attention.
3. Trade Insights: Watch for price breakouts above or below the highlighted candle. When price retraces back to this level, it signals a potential entry or exit point.
Key Features
Customizable Colour: Change the highlight colour to suit your chart preferences.
Working Timeframes: Works on timeframes, from minutes up to 2 hours timeframe.
Versatile Trading: Suitable for both intraday and swing trading strategies.
Unlock the Power of Institutional Liquidity
Don't miss out on the opportunities that arise in the hour before the New York session. With the Liquidity Hour indicator, you'll gain a valuable edge by identifying key levels where price action is most likely to reverse.
