Diddly - Liquidity ZonesDiddly Liquidity Zones is an indicator to highlight where the liquidity exists in a market place.
What is Liquidity
Liquidity refers to the ability of an asset to be turned into cash. Cash is the more liquid form of any asset, whereas selling a house would take a little longer to liquidate and convert to cash.
Liquidity in financial markets is in essence based on the same principle and refers to how easily an asset can be bought and sold.
Liquidity in simple terms is the volume of participants who are willing to be involved in the market at any given time. Markets are based on auction theory, the more participants who want to buy at a certain price than sell, will dictate that the price goes up. As a result it is important to understand the role that volume has in financial markets, as volume will directly correlate to liquidity and supply and demand.
What does it mean?
Areas of abnormal liquidity and volume can lead to a price range where there is high supply and demand, which in turn can become a zone that forms a support and resistance level in the future. As we all know what happens in the past does not mean it will happen in the future, but what liquidity zones will tell us is that in the past a higher number of people were interested in doing business at those prices, which is critical information when making trading decisions.
Although markets are based on auction theory, sadly we don't have the advantage of a traditional auction, where we are all sitting in a room putting our hands in the air when we are interested in paying x price for a particular item. In this environment it is very clear to see how popular the item for sale is and whether it is possible to pick up a bargain.
Being able to identify liquidity areas on a chart, provides an insight into market sentiment at a given price range. Also we have to consider that typically most retail traders participate in very liquid markets, where you can get in and out of a position with relative ease.
There are obviously exceptions, extremely low float stocks, but on the whole with liquid assets it takes some big orders to move price, especially with currencies and high float stocks. Understanding these principles helps us as retail traders identify where the big money is seeing a bargain, if buying or overpriced if selling.
However you identify liquidity, I hope you agree that it is an extremely important element to be considering before taking a trade. The last thing any trader wants to be doing if they can help it, is selling where the market perceives price to be a bargain and buying when overpriced.
Just as a side note, high and low "Float Stocks" refers to the number of shares in general circulation for buying and selling.
What is Diddly Liquidity Zones
This liquidity zones indicator in simple terms will plot zones on the chart and make an assessment of whether this is predominately buying or selling liquidity. Price will frequently come back to test areas of liquidity before making any further continuation in a specific direction. This is why liquidity zones are often described as areas of support and resistance.
How does it Work
To identify these zones the indicator is looking at a number of pieces of information predominantly based on volume.
Volume
Rate of Change
Relative Strength
From these calculations the algorithm is then looking for the standard deviation away from the normal, to identify exceptions that then become the liquidity zones. These can be classified up to 4 levels, the first being the weakest exception to four being the strongest. By default 3 levels are displayed.
What is the Indicator Showing me?
The Liquidity Zones indicator comprises two basic elements: Bull Zones and Bear Zones.
Zones that are not broken in the past are projected forward and can act as strong support and resistance levels that can also be used for targets or ignoring a trade due to lack of room above or below.
Here on AUDCHF 15 minute chart, during March 2023, it provides an example of the three indicator zone types. Details have been annotated on the chart.
The third type of zone is a “Trap Zone” which can be extremely powerful for identifying potential reversals. A Trap Zone can be either Trapped Buyers or Trapper Sellers. In essence it is a Zone that is identified, but price can never trade above or below in the direction of the zone.
As an example if a bear zone is identified and price fails to trade below the lower edge and bounces immediately out of the top. The trap is set and the indicator changes the zone from the default green (bull) or red (bear) zone to a different colour, which is orange by default.
As price moves higher away from the zone, those in their short positions start to feel the pain. The higher the move away before a retracement the higher the pain. When the retracement finally comes and price returns to the zone, you will often see price bounce off the zone for the move back to retest the highs, following the same principles of support and resistance.
In this example above a resistance level is broken, which has been identified by a volume exception identified by the indicator, when price returns to that area it now becomes support as those traders in short positions look to cover at breakeven.
Here on EURUSD 15 minute chart, during the last week in March 2023, it provides a great example of a "trap zone" setup. Details have been annotated on the chart.
Usage
This indicator will compliment any existing strategy or could be traded as part of a support and resistance trading strategy. One of the great advantages of support and resistance is that levels and zones are identified ahead of time, so trades can be planned and considered well in advance.
There is also the advantage of where to stop out, once a support or resistance level is broken then we no longer want to be in that trade. We have to accept the facts that the market sentiment has changed and no longer sees price here as good value for bull zones or overpriced at bear zones.
You will sometimes see spikes of price through a zone, where the market has grabbed the liquidity in the form of stops on the other-side, which can be extremely frustrating as a trader, but important to understand that it does happen and why it is happening.
You will find liquidity zones on all charts, from the daily to the 1 second chart. The higher the timeframe, the wider the zones are. As a result we would not recommend planning an entry purely on a daily zone, but it is extremely useful information when drilling into the lower time frame charts. So using multiple timeframe analysis is a really useful technique when looking to understand a market.
There are a number of elements to consider before taking entries around support and resistance levels. The most important thing to remember is these levels have to break at some point, otherwise price would never go anywhere. Understanding that these levels can fail is important and is the reason we should always have clearly defined stops and manage risk.
You may also want to consider higher timeframe trend analysis to try and ensure you are trading with the trend. First and second retests work better as these zones will weaken over multiple retests as traders give up on that area, as it no longer is giving the reactions of price that it used to.
The easiest entry method when working with support and resistance levels, is to place limit orders in the market. This is not a recommended approach, although it can be useful for traders who can't sit in front of charts all day. By taking this approach you would want to ensure that you are trading with the predominant trend on a higher timeframe and are in effect using these levels on a lower timeframe as pullback entries. You would also want to ensure that you have a wide enough stop to ensure that any spikes through don't stop out the trade, so using an Average True Range multiplier can be very helpful. The key point is don't oversize and manage risk.
A better approach to identifying entries would be to look at price action on a lower time frame chart, once price has arrived at the level.
A more conservative approach would be to wait for price to close outside the zone in the direction you want to trade on the signal chart and look for an entry on the retest of the top of the zone for buys or the bottom of the zone for the sells, with the stop the other-side of the zone.
For the purpose of examples we will focus on the last two methods, although there are many sources of information on how to trade support and resistance levels, so please don't take the above as the only way to plan or take entries.
Multiple Timeframe Alignment
Here on a stock asset MSFT (Microsoft), we have a zoomed out 15 minute chart. The top left is August 2022 and the bottom right is November 2022, which is quite a sell-off and there were many opportunities to the short side, although many traders would have been looking to see when this stock was at a bargain price.
Here on the 7th November 2022, there were the first signs of a potential change in market sentiment, as the indicator identified a Bull Zone on the 15 minute chart. At this stage the stock has been beaten up for a long time and there is a Bear Zone, above price - so not much distance to get a decent risk reward trade as yet.
Then on the Thursday of the same week, price came back to test the high of this previously created Bull Zone, after being rejected from the Bear Zone above.
So drilling into the 1 minute chart to find good risk : reward entries, price at the opening bell explodes through Bear Zones in the above chart and prints a big 1 minute Bull Zone. This on its own would be hard to trade, is it a fake out? price must surely retrace before a move higher, also there is a trapped buyers zone above price, so there will be a lot of liquidity and sell orders at that level.
Here again on the 1 minute chart, we see the breakout of the orange zone with a new Bull Zone (which is coloured blue, being a 2nd level zone) . Now we just want to see this zone being confirmed by breaking the top and then we would look for entries on the retest.
Price action is now ready for taking a buy entry for a short-term swing trade as illustrated on the next chart.
About a month later the price hit the target, as shown on the 4 hour chart.
The target was set on the 15 min chart, being the next substantial level of a bear zone. Also on the 1 hour chart above, a big green bull zone of liquidity was identified, so there's a fair chance that price will come back to retest liquidity before a greater move away. The trade planner has been removed from this chart, so it is easier to see the printed zones, but the entry was at the 238.00
You will see since January 2023 there have been many opportunities on this stock using the 15 minute chart to find zones to trades and manage risk. The one thing that is clear in this chart is where the market sentiment was on this stock as it made the run-up to current price.
Alerting
Utilising the power of TradingView Alerts enables you to monitor many pairs, when you are away from your charts. You can set up alert for the indicator, by right-clicking on a zone that you see on a chart and choose the first option that appears on the menu "Add Alert to Diddly Zones". You can also perform the same operation from the indicator tile that appears in the top left corner of the chart.
Within setting you can choose to be alerted under the following conditions:
When New Bull Zone has been Identified
When New Bear Zone has been Identified
When Price approaches a Bear Zone from below. Notifying traders that we are approaching a resistance level
When Price approaches a Bull Zone from above. Notifying traders that we are approaching a support level
When Price is Trading inside a Zone at a certain configurable time.
On the last point above: This is useful on a slightly higher timeframe, where large zones exist and you may want to be notified if this asset is trading in a zone at say the London open. You would have already been sent an alert telling you price was arriving at the zone, but that could have been a couple of days ago.
Key Settings
Within the indicator settings there are a number of options that are available to users. From changing the colours and their transparency of different zone types, to the number of exception levels that you want to see on the chart.
The most important ones that are in need of explanation are outline below:
To simplify the settings, the indicator is configured by using a similar analogy to driving style. The reason this is needed is because different assets and asset classes have different levels of liquidity, as a result the indicator requires some basic information to provide the best results. The principle being the faster you drive the more zones you will encounter.
To continue with the analogy, it is important not to drive too fast on a particular asset otherwise all you will see is zones and nowhere for price to go. If this is the case, slow the setting down or go to a higher time frame for a broader perspective.
Settings
"Determine Algo Driving Style" : Available options = "Slow", "Steady", "Sports", "Racing", "Rocket" (Default Setting = Sports)
So this is setting the speed of the indicator
"Turn on Turbo Mode" : True or False (Default Settings = True)
This setting will give the indicator a boost
"What type of asset is the Algo looking at" : Available Options = "Small Caps", "Large Caps", "Futures", "Currencies" (Default Setting = Currencies)
The only difference in these settings currently is a magnification element that is applied to the calculations, which is particularly relevant for highly liquid assets like currencies, futures and large cap stock. The only option that by default does not use the magnification element is Small Cap low float stocks, where liquidity is lower this setting is not required. This magnification can be change later in the settings under "Zone Identification Calculation Models"
Finally
We greatly appreciate the support and feedback from the Trading View community, and we are dedicated to continuing to improve our indicators with your support.
We want to help you manage risk, and that's why we emphasise that trading is risky and any technology used to support our trading decisions is based on information from the past. We encourage traders to take responsibility for their trading businesses and always prioritise risk management.
Cerca negli script per "liquidity"
US Net LiquidityAnalysis of US Net Liquidity: A Comprehensive Overview
Introduction:
The "US Net Liquidity" indicator offers a detailed analysis of liquidity conditions within the United States, drawing insights from critical financial metrics related to the Federal Reserve (FED) and other government accounts. This tool enables economists to assess liquidity dynamics, identify trends, and inform economic decision-making.
Key Metrics and Interpretation:
1. Smoothing Period: This parameter adjusts the level of detail in the analysis by applying a moving average to the liquidity data. A longer smoothing period results in a smoother trend line, useful for identifying broader liquidity patterns over time.
2. Data Source (Timeframe): Specifies the timeframe of the data used for analysis, typically daily (D). Different timeframes can provide varying perspectives on liquidity trends.
3. Data Categories:
- FED Balance Sheet: Represents the assets and liabilities of the Federal Reserve, offering insights into monetary policy and market interventions.
- US Treasury General Account (TGA): Tracks the balance of the US Treasury's general account, reflecting government cash management and financial stability.
- Overnight Reverse Repurchase Agreements (RRP): Highlights short-term borrowing and lending operations between financial institutions and the Federal Reserve, influencing liquidity conditions.
- Earnings Remittances to the Treasury: Indicates revenues transferred to the US Treasury from various sources, impacting government cash flow and liquidity.
4. Moving Average Length: Determines the duration of the moving average applied to the data. A longer moving average length smoothens out short-term fluctuations, emphasizing longer-term liquidity trends.
Variation Lookback Length: Specifies the historical period used to assess changes and variations in liquidity. A longer lookback length captures more extended trends and fluctuations.
Interpretation:
1. Data Retrieval: Real-time data from specified financial instruments (assets) is retrieved to calculate balances for each category (FED, TGA, RRP, Earnings Remittances).
2. Global Balance Calculation: The global liquidity balance is computed by aggregating the balances of individual categories (FED Balance - TGA Balance - RRP Balance - Earnings Remittances Balance). This metric provides a comprehensive view of net liquidity.
3. Smoothed Global Balance (SMA): The Simple Moving Average (SMA) is applied to the global liquidity balance to enhance clarity and identify underlying trends. A rising SMA suggests improving liquidity conditions, while a declining SMA may indicate tightening liquidity.
Insight Generation and Decision-Making:
1. Trend Analysis: By analyzing smoothed liquidity trends over time, economists can identify periods of liquidity surplus or deficit, which can inform monetary policy decisions and market interventions.
2. Forecasting: Understanding liquidity dynamics aids in economic forecasting, particularly in predicting market liquidity, interest rate movements, and financial stability.
3. Policy Implications: Insights derived from this analysis tool can guide policymakers in formulating effective monetary policies, managing government cash flow, and ensuring financial stability.
Conclusion:
The "US Net Liquidity" analysis tool serves as a valuable resource for economists, offering a data-driven approach to understanding liquidity dynamics within the US economy. By interpreting key metrics and trends, economists can make informed decisions and contribute to macroeconomic stability and growth.
Disclaimer: This analysis is based on real-time financial data and should be used for informational purposes only. It is not intended as financial advice or a substitute for professional expertise.
Pure Price Action Liquidity Sweeps [LuxAlgo]The Pure Price Action Liquidity Sweeps indicator is a pure price action adaptation of our previously published and highly popular Liquidity-Sweeps script.
Similar to its earlier version, this indicator detects the presence of liquidity sweeps on the user's chart, while also identifying potential areas of support/resistance or entry when liquidity levels are taken. The key difference, however, is that this price action version relies solely on price patterns, eliminating the need for numerical swing length settings.
🔶 USAGE
A Liquidity Sweep occurs when the price breaks through a liquidity level , after which the price returns below/above the liquidity level , forming a wick.
The examples below show a bullish and bearish scenario of "a wick passing through a liquidity level where the price quickly comes back".
Short-term liquidity sweep detection is based on short-term swing levels. Some of these short-term levels, depending on further market developments, may evolve into intermediate-term levels and, in the long run, become long-term levels. Therefore, enabling short-term detection with the script means showing all levels, including minor and temporal ones. Depending on the trader's style, some of these levels may be considered noise. Enabling intermediate and long-term levels can help filter out this noise and provide more significant levels for trading decisions. For further details on how swing levels are identified please refer to the details section.
The Intermediate-term option selection for the same chart as above, filters out minor or noisy levels, providing clearer and more significant levels for traders to observe.
🔶 DETAILS
The swing points detection feature relies exclusively on price action, eliminating the need for numerical user-defined settings.
The first step involves detecting short-term swing points, where a short-term swing high (STH) is identified as a price peak surrounded by lower highs on both sides. Similarly, a short-term swing low is recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term swing and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, we now utilize the previously detected short-term swing points. For intermediate-term swing points, we rely on short-term swing points, while for long-term swing points, we use the intermediate-term ones.
🔶 SETTINGS
Detection: Period options of the detected swing points.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Liquidity-Sweeps.
[TehThomas] - ICT Liquidity sweepsThe ICT Liquidity Sweeps Indicator is designed to track liquidity zones in the market areas where stop-losses and pending orders are typically clustered. This indicator marks buyside liquidity (resistance) and sellside liquidity (support), helping traders identify areas where price is likely to manipulate liquidity before making a significant move.
This tool is based on Inner Circle Trader (ICT) Smart Money Concepts, which emphasize how institutional traders, or “Smart Money,” manipulate liquidity to fuel price movements. By identifying these zones, traders can anticipate liquidity sweeps and position themselves accordingly.
⚙️ How It Works
1️⃣ Detects Key Liquidity Zones
The script automatically identifies significant swing highs and swing lows in price action using a pivot-based method.
A swing high (buyside liquidity) is a peak where price struggles to break higher, forming a resistance level.
A swing low (sellside liquidity) is a valley where price struggles to go lower, creating a support level.
These liquidity points are prime targets for liquidity sweeps before a true trend direction is confirmed.
2️⃣ Draws Liquidity Lines
Once a swing high or low is identified, a horizontal line is drawn at that level.
The lines extend to the right, serving as future liquidity targets until they are broken.
The indicator allows customization in terms of color, line width, and maximum number of liquidity lines displayed at once.
3️⃣ Handles Liquidity Sweeps
When price breaks a liquidity level, the indicator reacts based on the chosen action setting:
Dotted/Dashed: The line remains visible but changes style to indicate a sweep.
Delete: The line is completely removed once price has interacted with it.
This feature ensures that traders can easily spot where liquidity has been taken and determine whether a reversal or continuation is likely.
4️⃣ Prevents Chart Clutter
To maintain a clean chart, the script limits the number of liquidity lines displayed at any given time.
When new liquidity zones are formed, the oldest lines are automatically removed, keeping the focus on the most relevant liquidity zones.
🎯 How to Use the ICT Liquidity Sweeps Indicator
🔍 Identifying Liquidity Grabs
This indicator helps you identify areas where Smart Money is targeting liquidity before making a move.
Buyside Liquidity (BSL) Sweeps:
Occur when price spikes above a resistance level before reversing downward.
Indicate that Smart Money has hunted stop-losses and buy stops before driving price lower.
Sellside Liquidity (SSL) Sweeps:
Occur when price drops below a support level before reversing upward.
Indicate that Smart Money has collected liquidity from stop-losses and sell stops before pushing price higher.
📈 Combining with Market Structure Shifts (MSS)
One of the best ways to use this indicator is in conjunction with our Market Structure Shifts Indicator.
Liquidity sweeps + MSS Confirmation give strong high-probability trade setups:
Wait for a liquidity sweep (price takes out a liquidity level).
Look for an MSS in the opposite direction (e.g., price sweeps a high, then breaks a recent low).
Enter the trade in the new direction with stop-loss above/below the liquidity sweep.
📊 Entry & Exit Strategies
Long Trade Example:
Price sweeps a key sellside liquidity level (SSL) → creates a false breakdown.
MSS confirms a reversal (price breaks structure upwards).
Enter long position after confirmation.
Stop-loss below the liquidity grab to minimize risk.
Short Trade Example:
Price sweeps a key buyside liquidity level (BSL) → takes liquidity above resistance.
MSS confirms a bearish move (price breaks a key support level).
Enter short position after confirmation.
Stop-loss above the liquidity grab.
🚀 Why This Indicator is a Game-Changer
✅ Helps Identify Smart Money Manipulation – Understand where institutions are likely to grab liquidity before the real move happens.
✅ Enhances Market Structure Analysis – When paired with MSS, liquidity sweeps become powerful signals for trend reversals.
✅ Filters Out False Breakouts – Many traders get caught in liquidity grabs. This indicator helps avoid bad entries.
✅ Keeps Your Chart Clean – The auto-limiting feature ensures that only the most relevant liquidity levels remain visible.
✅ Works on Any Timeframe – Whether you’re a scalper, day trader, or swing trader, liquidity concepts apply universally.
📌 Final Thoughts
The ICT Liquidity Sweeps Indicator is a must-have tool for traders who follow Smart Money Concepts. By tracking liquidity levels and highlighting sweeps, it allows traders to enter trades with precision while avoiding false breakouts.
When combined with Market Structure Shifts (MSS), this strategy becomes even more powerful, offering traders an edge in spotting reversals and timing entries effectively.
__________________________________________
Thanks for your support!
If you found this idea helpful or learned something new, drop a like 👍 and leave a comment—I’d love to hear your thoughts! 🚀
Make sure to follow me for more price action insights, free indicators, and trading strategies. Let’s grow and trade smarter together! 📈✨
Wick Sweep & Liquidity Grab DetectorThis indicator helps you spot those subtle yet powerful market moments when price just barely sweeps the wick of the previous candle — triggering stops and grabbing liquidity — before pulling back to close inside the prior range .
These wick sweeps are classic signs of:
Stop hunts
Liquidity grabs
Trap candles
Or even smart money entries
You'll see:
🟢 A green dot when price wicks below the previous low but closes back inside — potential bullish reversal zone.
🔴 A red dot when price wicks above the previous high but closes back inside — potential bearish reversal zone.
Great for traders using:
Smart Money Concepts (SMC)
ICT-style setups
Reversal scalps
Or anyone looking to trade around liquidity zones
Includes built-in alerts for both bullish and bearish wick sweeps, and is designed with a clean, minimalist look to reduce chart noise.
Use this tool in confluence with your other edge — order blocks, imbalance zones, BOS/CHOCH, etc.
Draw on Liquidity [PhenLabs]📊 Draw on Liquidity (DOL) Indicator
Version: PineScript™ v6
Description
The Draw on Liquidity (DOL) indicator is an advanced technical analysis tool designed to identify and visualize significant liquidity zones in the market. It combines volume analysis, pivot point detection, and real-time proximity alerts to help traders identify potential support and resistance levels where significant trading activity occurs. The indicator features dual display modes, adaptive volume thresholds, and a comprehensive real-time dashboard.
🔧 Components
• Liquidity Detection: Advanced pivot point analysis with volume validation
• Volume Analysis: Adaptive volume threshold system
• Display Modes: Historical and Current visualization options
• Proximity Detection: Real-time price-to-level distance monitoring
• Visual Dashboard: Dynamic status display with alert system
🚨 Important Dashboard Features 🚨
The dashboard provides real-time information about:
• High Draw Zones: Resistance levels with significant liquidity
• Low Draw Zones: Support levels with high trading activity
• Current Price: Real-time price monitoring
• Active Alerts: Proximity warnings when price approaches liquidity zones
📈 Visualization
• Historical Mode: Displays all past and present liquidity zones
• Current Mode: Shows only active, unhit liquidity levels
• Color-coded lines: Blue for high liquidity, Red for low liquidity
• Dynamic line extension: Updates with price movement
• Alert indicators: Visual signals when price approaches zones
Historical Visualization
Current Visualization
📌 Usage Guidelines
The indicator is highly customizable with several key parameters:
Pivot Settings:
• Shorter lengths (3-7): More frequent zones, suitable for scalping
• Longer lengths (7-15): Major zones, better for swing trading
Volume Analysis:
• Lower multiplier (1.5-2.0): More zones, higher sensitivity
• Higher multiplier (2.0-3.0): Major zones only, reduced noise
✅ Best Practices:
• Start with default settings and adjust based on timeframe
• Use Historical mode for analysis, Current mode for active trading
• Monitor dashboard alerts for potential trade setups
• Combine with trend analysis for better entry/exit points
⚠️ Limitations
• Requires sufficient volume data for accurate analysis
• Performance varies with market volatility
• Historical mode may become visually cluttered on longer timeframes
• Best performance during regular market hours
What Makes This Unique
• Dual Display System: Choose between historical analysis and current trading modes
• Volume-Validated Zones: Only marks levels with significant trading activity
• Real-time Proximity Alerts: Dynamic warnings when approaching liquidity zones
• Adaptive Threshold System: Automatically adjusts to market conditions
• Comprehensive Dashboard: All-in-one view of current market status
🔧 How It Works
The indicator processes market data through three main components:
1. Liquidity Detection (40% weight):
• Identifies pivot points using customizable lookback periods
• Validates levels with volume analysis
• Marks significant zones based on combined criteria
2. Volume Analysis (40% weight):
• Calculates dynamic volume thresholds
• Compares current volume to moving average
• Filters out low-volume noise
3. Proximity Analysis (20% weight):
• Monitors price distance to active zones
• Triggers alerts based on customizable thresholds
• Updates dashboard status in real-time
💡 Note: For optimal results, combine with price action analysis and consider using multiple timeframes for confirmation. The indicator performs best in markets with consistent volume and clear trend structure.
Thin Liquidity Zones [PhenLabs]Thin Liquidity Zones with Volume Delta
Our advanced volume analysis tool identifies and visualizes significant liquidity zones using real-time volume delta analysis. This indicator helps traders pinpoint and monitor critical price levels where substantial trading activity occurs, providing precise volume flow measurement through lower timeframe analysis.
The tool works by leveraging the fact that hedge funds, institutions, and other large market participants strategically fill their orders in areas of thin liquidity to minimize slippage and market impact. By detecting these zones, traders gain valuable insights into potential areas of accumulation, distribution, and liquidity traps, allowing for more informed trading decisions.
🔍 Key Features
Real-time volume delta calculation using lower timeframe data
Dynamic zone creation based on volume spikes
Automatic timeframe optimization
Size-filtered zones to avoid noise
Custom delta timeframe scanning
Flexible analysis period selection
📊 Visual Demonstration
💡 How It Works
The indicator continuously scans for high-volume areas where trading activity exceeds the specified threshold (default 6.0x average volume). When detected, it creates zones that display the net volume delta, showing whether buying or selling pressure dominated that price level.
Key zone characteristics:
Size filtering prevents noise from large price swings
Volume delta shows actual buying/selling pressure
Zones automatically expire based on lookback period
Real-time updates as new volume data arrives
⚙️ Settings
Time Settings
Analysis Timeframe: 15M to 1W options
Custom Period: User-defined bar count
Delta Timeframe: Automatic or manual selection
Volume Analysis
Volume Threshold: Minimum spike multiple
Volume MA Length: Averaging period
Maximum Zone Size: Size filter percentage
Display Options
Zone Color: Customizable with transparency
Delta Display: On/Off toggle
Text Position: Left/Center/Right alignment
📌 Tips for Best Results
Adjust volume threshold based on instrument volatility
Monitor zone clusters for potential support/resistance
Consider reducing max zone size in volatile markets
Use in conjunction with price action and other indicators
⚠️ Important Notes
Requires volume data from your data provider
Lower timeframe scanning may impact performance
Maximum 500 zones maintained for optimization
Zone creation is filtered by both volume and size
🔧 Volume Delta Calculation
The indicator uses TradingView’s advanced volume delta calculation, which:
Scans lower timeframe data for precision
Measures actual buying vs selling pressure
Updates in real-time with new data
Provides clear positive/negative flow indication
This tool is ideal for traders focusing on volume analysis and order flow. It helps identify key levels where significant trading activity has occurred and provides insight into the nature of that activity through volume delta analysis.
Note: Performance may vary based on your chart’s timeframe. Adjust settings according to your trading style and the instrument’s characteristics. Past performance is not indicative of future results, DYOR.
Sonarlab - Trendline Liquidity Indicator**This is not a normal Trend Line Indicator**
Most of the concepts we get thought online are to good to be true. Buy and sell off the touch of the trend line and you will be winning! You probably find out already that this ain't the way to trade. Trend lines mostly gets broken and you will be taken out.
he reason behind this is that the trend lines sparks the interests of Institutions. They use those area's to stop people out and use them as fuel for their positions: Liquidity.
TLL: Trend Line Liquidity
Lets show you an example on how to use these TLL markings 👇
In this example above we can see a beautiful example of the TLL indicator mapping out the TLL. The Imbalance Indicator shows us with the BPR (balanced price range) there is a sign of going short. The other confluence we can add is the TLL, which price likes to clear in these situations.
In this other example we also see two TLL resting on top. We see that price tried to break the SL (swing low), but the fake out detection showed us this was a grab on liquidity. After that we can see that on the LTF we get a displacement and we can assume that price is going to target the TLL.
Another example where price cleared the TLL and used is a targets.
This indicator will map the Trend Line Liquidity for you, so you are more aware of the liquidity that is resting around you. The Indicator has the following inputs:
Sensitivity A lower sensitivity create smaller trend lines, where a higher sensitivity creates bigger trend lines.
Display limit : The amount of lines you want the indicator to display
Line type/ text size (styling options)
HTF Liquidity Levels█ OVERVIEW
The indicator introduces a new representation of the previous days, weeks, and months highs & lows ( DWM HL ) with a focus on untapped levels.
█ CONCEPTS
Untapped Levels
It is popularly known that the liquidity is located behind swing points or beyond higher time frames highs/lows (in a sense, an intraday swing point is a day high/low). These key areas are said "liquid" because of the accumulation of resting orders, mainly in the form of stop-loss orders. And this more significantly on higher time frames which have more time for stacking orders. As the result, the indicator aims to keep track of untapped levels that have their liquidity states intact.
Liquidity Pools
Once a liquidity level identified, or better, a cluster of liquidity levels work as magnets for the market. The price is more likely to make its way towards heavier pockets of liquidity, by proximity (the closest liquidity pool), and by difficulty (path with less obstacles). This phenomenon is referred as liquidity run, raid, purge, grab, hunt, sweep, you name it. Consequently, the indicator can help you frame a directional bias during your trading session.
█ NOTES
Drawings
Once a level is tapped, it is highlighted. At the end of each day, all tapped levels are cleared.
Makuchaku's trading tools - Liquidity visualizerThis indicator plots those pivots/fractals which have not been taken out by price, whereby showing where are the clusters of highs/lows where stop orders (or liquidity) could be hiding.
This is a fantastic tool for taking reversal trades.
Institutional Liquidity and Price Action Concepts [AlgoAlpha]🚀 Introducing the Institutional Liquidity and Price Action Concepts™ (ILPAC) , a comprehensive toolkit developed by AlgoAlpha as part of our Premium Collection. This All-in-One indicator offers a robust approach to understanding price action and liquidity, empowering traders with hyper customizable features to tailor their analysis to their specific trading strategies.
Designed with efficiency and compactness in mind, the script shows Price action and liquidity through four methods: Market Structure , Liquidity Heatmap , Trend Lines , and FOMO Bubbles . Additionally, the script also includes a fully customizable interface, to match each individual's trading style. By utilizing a blend of advanced algorithms and customizable parameters, Institutional Liquidity and Price Action Concepts™ (ILPAC) provides traders with a vast array of trading strategies ranging from high frequency scalping to timing better entries on long-term swing and investing positions.
The ILPAC ™ can be used with or without other AlgoAlpha Premium Collection indicators as this indicator has been designed to be able to act as a standalone toolkit.
Let's delve into the key features and functionalities of this versatile indicator:
🎯 Key Features (summary):
Market Structure Analysis :
Customizable time-horizon
BOS confirmation methods
Adjustable CHoCH/BOS line styles
Swing point highlighting
Color customization
Liquidity Heatmap:
Configurable look-back period
Adjustable resolution
Customizable scale colors
Trend Lines :
Look-back period settings
Noise filter factor
Trend line signals with color options
FOMO Bubbles :
Configurable look-back period
Adjustable noise filter factor
Customizable bubble colors
🎯 Key Features (in-depth):
The Market Structure component within ILPAC ™ shows the underlying trend of the market using swing high and lows and is purely price action based. Higher Highs(HH), Higher Lows(HL) labels generally indicate an uptrend and Lower Highs(LH) and Lower Lows(LL) indicate a downtrend. The trend of the market is also determined by Change of Characters (CHoCH) and Break of Structure patterns (BOS). The Market Structure component marks out all these automatically and colours the bars on your chart for easy visualisation of trend.
The Liquidity Heatmap component within ILPAC ™ visualizes areas of high and low liquidity in the market. It identifies zones where liquidity is concentrated not only at specific price levels but also over time, giving the user a 3 Dimensional view of liquidity. The heatmap colours represent different levels of liquidity, making it easy to see where large volumes of orders may exist. This component helps traders understand the liquidity landscape and make informed decisions based on potential support and resistance levels.
The Trend Lines component within ILPAC ™ automatically draws trend lines based on historical price data. It identifies significant highs and lows, connecting them to form trend lines that highlight the overall market direction as well as give breakout signals as shown in the image below. The component also includes a noise filter to reduce false signals and ensure only valid trend breakouts are displayed. Customizable colour settings allow traders to personalize the visual representation of trend lines on their charts.
The FOMO Bubbles component within ILPAC ™ identifies periods of market activity driven by Fear of Missing Out (FOMO). By analysing price action and volume, it highlights bubbles where traders are likely entering positions impulsively. These bubbles are displayed on the chart with customizable colours, providing a visual cue for potential overbought or oversold conditions. This component helps traders recognize and potentially capitalize on market exuberance or panic.
🎯Usage Examples:
At its core, the components within ILPAC ™ were designed to operate with each other as a form of confluence and robust analysis. Typically, Price action components such as the Market Structure and Trend Lines can be used for entries while the Liquidity components like FOMO Bubbles and the Heatmap can be used to find exit points. Here are some examples of how they can be used.
Trend Trading
Using the Market Structure component, enter a trade during a CHoCH and set TP at key areas of liquidity using the heatmap. Users can also choose to enter into a BOS which is an indication of a trend continuation.
Reversal Trading
Using the Liquidity Heatmap to find areas of liquidity for possible reversals, wait for a rejection from a liquidity zone and use the Trend Line Breakout signals as confluence for an entry. Exits can be set at liquidity zones or using FOMO Bubbles as take profit signals.
(These are just examples for reference, the ILPAC ™ offers significantly more possibilities for customisation and fine tuning of your trading strategy.)
🎯Conclusion:
The Institutional Liquidity and Price Action Concepts™ (ILPAC) indicator by AlgoAlpha is a powerful tool for traders, offering in-depth market insights through its Market Structure, Liquidity Heatmap, Trend Lines, and FOMO Bubbles components. By integrating Price Action based analysis with Liquidity analysis, ILPAC ™ boasts a superior design for the confluence between its components, using Price Action components for entry opportunities and Liquidity based components for exit opportunities. With its highly customizable settings, this indicator caters to all trading styles, from scalping to long-term investing. By providing clear visualizations and automatic trend and liquidity detection, ILPAC ™ empowers traders to make informed decisions, enhancing their trading strategies and improving overall market understanding.
Open Liquidity Heatmap [BigBeluga]Open Liquidity Heatmap is an indicator designed to display accumulated resting liquidity on the chart.
Unlike any other liquidity heatmap, this aims to accumulate liquidity at specific levels that build up over time, showing larger areas of liquidity.
🔶 FEATURES
The indicator includes the following settings:
Lookback : Used to determine the range calculation of the heatmap.
Leverage : Leverage of the liquidation (Counted as % in price, Example: 4.5 will return a distance from price of 4.5%, indicating any possible resting liquidity in this range).
Levels : Amount of levels to display (Each level is counted as liquidity resting on the chart; fewer levels will return a bigger area of liquidity sitting on the chart).
Mode : Apply a color gradient from the minimum liquidation to the maximum liquidity level. Set the maximum color gradient value (Counted as volume).
Offset : Automatically determine the offset range of the Volume Profiles. Manual offset of the Volume Profiles.
🔶 CALCULATION
for i = 0 to step - 1
float plotter = na
switch i
0 =>
plotter := hs
=>
plotter := hs - diff * ( i )
cls.hm.gnL(plotter)
cls.vp.put(plotter, 0)
We calculate levels like a normal volume profile with steps, from the highest point within the lookback to the lowest one. Each level will contain the corresponding amount of volume that the candle has closed in that range.
As we can see in the image above, we add liquidity each time the distance in % from price is between two levels.
Unlike many liquidity indicators that provide a single candle liquidity heatmap, this aims to add up liquidity (volume) in already present levels.
This can be extremely useful to see which levels are likely to be more liquid and tend to get a bigger reaction to the price.
Imagine it like a range of levels that each time price revisits that area, a new position area is added; we add volume in that area each time price visits that zone. Liquidity builds up in those zones, causing a bigger reaction to the price once the price visits it.
This indicator is not the same as a single candle heatmap like many others. What is a single candle heatmap?
A single candle heatmap is when a level is created on every new candle, coloring the level based on the total volume of it.
This indicator, on the contrary, aims to provide a more specific use by adding up liquidity each time price visits it.
🔶 BASIC DEMOSTRATION
This is a basic demonstration of how we can spot high liquidity points overall using confluence:
We see the POC of the liquidation in a low volume area of the normal volume profile adding up as confluence.
Resistance from the POC Volume Profile suggesting price will go lower.
Major long open liquidity down.
As we can see, price takes out all the long liquidity and right after pumping, indicating that all the major liquidity got taken out.
Some key note to take is that a POC in the liquidation heatmap in a low volume area of the normal Volume Profile add confluence of a possible big reaction in that zone.
In the forex market, we suggest to use a low distance from price (Leverage) while in a crypto market you can use the one that fit the best the current timeframe.
🔶 CONCLUSION
This indicator aims to show open resting liquidity that had built up over time, showing the most amount of liquidation in specific areas in an aggregated way unlike many liquidation heatmap indicators that show single-level liquidation.
🔶 RELATED SCRIPT
PT LiquidityVersion 1.0 of our Liquidity indicator helps determine areas where price might gravitate to fill liquidations. We have six levels of interest, broken down into three levels for shorts (highlighted in red) & three levels for longs (highlighted in green). Each level is labeled 25x, 50x, 100x. We added a cloud for a visual to assist in short/long liquidation zones. You want to be taking short setups at the top of the cloud when shorts get squeezed & taking long setups at the bottom of the cloud when longs get squeezed. The indicator has a proprietary formula that allows the levels to change based on volume and time frames. The levels are generated in real-time with a rolling VWMA.
Strategy:
If you are scalping, price tends to ping pong between the 50x & 100x longs (green) to 50x & 100x shorts (red). If we shift outside that zone, consider the trend to have changed. Look at a higher time frame (12h+) for trend direction. Price usually reverses when the daily takes all three liquidation levels. You want to see a strong reaction (wick) once we tap that last liquidation level.
This Oscillator was built around our buy sell indicator & it is used on all time frames for swinging & scalping. It is included as part of the library. Just message us for access!
Fractal Break Imbalance / Fair Value Gap (FVG) / Liquidity VoidFractal Break Imbalance / Fair Value Gap (FVG) / Liquidity Void
Order imbalances in either direction, either excess buy or sell orders, reduce liquidity. The market will seek to fill gaps sooner or later. The script marks an imbalance / FVG after a fractal break. It also marks any other imbalance.
Default Colours:
Green - Imbalance after fractal break to the upside
Red - Imbalance after fractal break to the downside
Yellow - Other imbalances
How To Use:
Gaps can be used to determine possible entries and targets. Those familiar with liquidity raids, supply and demand, and ICT concepts may realise it's potential.
Indicator in use:
AlgoRhythmica - Liquidity MapThe AlgoRhythmica - Liquidity Map is a complex and performance heavy indicator, attempting to visualize and highlight areas of liquidity on the chart. It paints lines above and below price with different color and opacity based on the volume, and then highlight the areas with the highest cumulative volume.
What is liquidity and a liquidity map?
Liquidity refers to how quickly and easily an asset can be bought or sold in the market without affecting its price. High liquidity means that there are many buyers and sellers, and transactions can happen rapidly and smoothly.
Liquidity analysis involves examining where and how liquidity is distributed across different price levels.
Price often moves from liquidity zone to liquidity zone, and therefore, having an idea of where those zones are can give traders an understanding of potential support and resistance levels and where significant trading activities might occur.
Those looking to fill large buy orders for example would want to do that in liquid sell areas and vice versa. This indicator attempts to estimate the price levels where traders using leverage get liquidated, and therefore creates liquid areas for buying and selling.
In contrast to Bookmaps which chart the orders in the order book where traders want to transact, a liquidity map is charting where traders are 'forced' to transact due to stop-losses or margin calls. To do that, liquidity maps are mostly based on estimations. It could be based on pivot points, common stop-loss amounts, common leverage amounts or a combination of multiple factors.
As of the current version on release, this indicator is only using the leverage input by the user to estimate the liquidity.
How does it work and what makes it unique?
The indicator takes the volume in a candle and saves that volume in a line. Based on the leverage settings it then offsets that line above and below price. Say, a trader using 20x leverage without a stop-loss gets liquidated if price goes roughly 5% in the wrong direction. Therefore, by assuming common leverage amounts or common risk amounts, we can estimate where traders get liquidated or have their stop-losses based on their leverage or amount they are willing to risk.
Now keep in mind, this liquidity map is just estimating based on general assumptions, it doesn't have access to actual liquidity data.
But at the same time, we're not trading single individual traders, but we're trading the market as a whole, and interestingly enough, some risk and leverage amounts are more common than others. People like using those even numbers like 10x, 20x, 1% risk etc. That's why price do often react on the liquidity in liquidity maps such as this one.
So, when a candle is printed, and you are on a smaller timeframe and decided this is just the kind of market for 100x scalpers. You set the leverage to 100x in the settings and the indicator will paint lines above and below price offset by 1%. There are settings for three leverage amounts at the same time, so you might also set it to paint lines at 5% and 10%, just to catch those traders on higher timeframes if price really takes off.
Now let's talk about what makes this indicator really shine and stand out!
Normally, if we just left the indicator doing as above, there would be lines all over the place and very difficult to interpret which areas matter, or we could limit the indicator to only print lines at high volume candles. Now, you do have that option, but that wouldn't pick up areas where low volume trading has cumulated in the same range, such as over a weekend or during market gaps. Where other liquidity indicators out there might miss that liquidity, this indicator has several solutions for it.
The first solution is stacking semi-transparent lines on top of each other. Normally, lines of the same color and transparency wouldn't add and blend together. But this script offers a seamless transition from one color the next, blending those low volume liquidity lines together.
The second solution, and this is what I believe is really unique and powerful, is that this indicator also has the ability highlight certain liquidity. When enabled, it scans through all the lines, cumulate the volume within a specified range around the lines and then compare the cumulated volume range with the ranges around the other lines. New lines created in the range with the highest cumulated volume gets highlighted.
Without this feature you wouldn't necessarily be able to tell which of two strong areas are more liquid. When price later enters that area and crosses those lines, the liquidity there is then considered consumed and lines created in a different range will now begin to highlight.
All of this is of course enhanced, as in the picture above, when multiple copies of the indicator is used together and assigned to only calculate specific parts of the liquidity map, such as longs, shorts or specific leverage amounts.
Oh, and there's also options for assigning which part of the candle should generate the liquidity. Close, Middle Body or Open. The indicator will then assume that the majority of traders are entering their position in that part of the candle.
The offset is calculated from that part of the candle. By using multiple copies of the indicator, you can assign one for each part and that will give you the whole range of the candle. And you might assume more traders go long from the top, so to emphasize that liquidity, you could increase the size or transparency slightly of the lines generated from that part.
How do I use it?
Well, this isn't gonna give you trading signals or anything, but it will visualize the market for you in a new perspective.
Typically, high liquidity areas are often good areas for entry and TP. But always watch how the price reacts in those areas before entering a position. And remember, the liquidity estimation might not always be accurate.
Particularly watch the highlighted areas for long wicks and high volume, indicating that the liquidity was enough to meet the orders and a retrace or reversal could be imminent.
Watch what happens during consolidation, market gaps and weekends. Notice the lack of liquidity and how the market maker creates liquidity by inducing traders to take positions with quick moves that instantly reverses. You might know how that works in theory, but watching it happen real-time with visualized liquidity is very interesting.
While not necessary, and as I've mentioned earlier, dividing the different functions of the indicator on multiple copies will substantially increase it's accuracy and performance!
For example, use one copy of the indicator per leverage level, or one for shorts, one for longs. One that generates from the close, one from the middle etc. creating a much clearer picture of the liquidity like the picture comparison above.
This is what the indicator offers:
When you're estimating liquidity, you want to be able to do it with accuracy and interpretability. That's why the customization options of this indicator has been really important in the development.
Timeframe Options:
It supports a wide range of time periods, from daily to yearly, enabling traders to apply it across various trading strategies, from short-term day trading to long-term investment analysis. Assuming traders are eventually taking their profits, liquidity after the set time period disappears.
Rich Visual Settings:
The indicator comes with multiple preset color themes and a completely customizable option as well. These visual settings are designed to enhance the interpretability of liquidity data, with adjustable transparency and contrast features.
Liquidity Highlighting Function:
This unique feature emphasizes areas with high liquidity concentration. It scans and highlights significant liquidity zones, aiding traders in identifying critical market levels.
Liquidity Profile:
The LQ-Profile extends liquidity lines based on their associated volume, giving traders another way of identifying high liquidity zones.
Adjustable Liquidity Estimation:
Select and adjust leverage amounts based on your particular chart and analysis. Choose what positions and leverage amounts to display liquidity for. You also have the option to determine if wicks consume liquidity or not.
Since wicks indicate that price was rejected from that area, it doesn't necessarily mean all the liquidity in that area was consumed. You could assign an additional copy of the indicator consuming with wicks and another that doesn't. That way, half the liquidity gets consumed and the other half remains until another candle closes in that area. They choices are endless and it's all about your understanding and analysis here.
Multiple Performance Options:
Depending on your particular chart and timeframe, this indicator can be very performance heavy to load. Luckily it has plenty of performance options for limiting the calculations of the indicator.
Tooltips:
As usual, this indicator comes with extensive tooltips for every function, making sure you understand every part of it.
Happy trading!
DECODE Global Liquidity IndexDECODE Global Liquidity Index 🌊
The DECODE Global Liquidity Index is a powerful tool designed to track and aggregate global liquidity by combining data from the world's 13 largest economies. It offers a comprehensive view of financial liquidity, providing crucial insights into the underlying currents that can influence asset prices and market trends.
The economies covered are: United States, China, European Union, Japan, India, United Kingdom, Brazil, Canada, Russia, South Korea, Australia, Mexico, and Indonesia. The European Union accounts for major individual economies within the EU like Germany, France, Italy, Spain, Netherlands, Poland, etc.
Key Features:
1. Customizable Liquidity Sources
Include Global M2: You can opt to include the M2 money supply from the 13 listed economies. M2 is a broad measure of money supply that includes cash, checking deposits, savings deposits, money market securities, mutual funds, and other time deposits. (Note: Australia uses M3 as its primary measure, which is included when M2 is selected for Australia).
Include Central Bank Balance Sheets (CBBS): Alternatively, or in addition, you can include the total assets held by the central banks of these economies. Central bank balance sheets expand or contract based on monetary policy operations like quantitative easing (QE) or tightening (QT).
Combined View: If you select both M2 and CBBS, and data is available for both, the indicator will display an average of the two aggregated values. If only one source type is selected, or if data for one type is unavailable despite both being selected, the indicator will display the single available and selected component. This provides flexibility in how you define and analyze global liquidity.
2. Lead/Lag Analysis (Forward Projection):
Lead Offset (Days): This feature allows you to project the liquidity index forward by a specified number of days.
Why it's useful: Global liquidity changes can often be a leading indicator for various asset classes, particularly those sensitive to risk appetite, like Bitcoin or growth stocks. These assets might lag shifts in liquidity. By applying a lead (e.g., 90 days), you can shift the liquidity data forward on your chart to more easily visualize potential correlations and identify if current asset price movements might be responding to past changes in liquidity.
3. Rate of Change (RoC) Oscillator:
Year-over-Year % View: Instead of viewing aggregate liquidity, you can switch to a Year-over-Year (YoY%) Rate of Change (ROC) oscillator.
Why it's useful:
Momentum Identification: The ROC highlights the speed and direction of liquidity changes. Positive values indicate liquidity is increasing compared to a year ago, while negative values show it's decreasing.
Turning Points: Oscillators make it easier to spot potential accelerations, decelerations, or reversals in liquidity trends. A cross above the zero line can signal strengthening liquidity momentum, while a cross below can signal weakening momentum.
Cycle Analysis: It helps in assessing the cyclical nature of liquidity provision and its potential impact on market cycles.
This indicator aims to provide a clear, customizable, and insightful measure of global liquidity to aid traders and investors in their market analysis.
[TehThomas- Pro] - Liquidity SignalsOverview
This Pine Script indicator is designed to generate Buy and Sell signals based on liquidity sweeps and market structure shifts (MSS) or break of structure (BOS). The combination of liquidity sweeps and market structure changes provides a highly confluential signal that can be used to identify high-probability trade setups. This indicator is capable of working as a standalone tool or as part of a broader trading strategy.
Core Concepts
Liquidity Sweeps:
A liquidity sweep occurs when the price temporarily breaks a previous high or low, taking out stop losses or inducing breakout traders, only to reverse direction shortly after.
The indicator detects these liquidity sweeps at pivot points defined by a user-set pivotPeriod.
It plots Buyside Liquidity (resistance) or Sellside Liquidity (support) lines on the chart to indicate where liquidity pools are likely positioned.
Market Structure Shifts (MSS) and Break of Structure (BOS):
BOS: This occurs when the price closes above or below a previous swing high or low, indicating a potential shift in trend.
MSS: This is a more aggressive form of market structure change where the price action reverses after a liquidity sweep, signaling a potential reversal before a BOS confirmation.
The script tracks swing highs and swing lows using the pivot_strength setting to define how many bars are required on both sides of a pivot point.
Confluence of Signals:
The main signal is plotted when a Liquidity Sweep is followed by an MSS within a specified number of bars (25 by default).
This creates a high-probability trade signal because it combines both liquidity traps and market structure reversals.
Below, you can see the signals the indicator generates
There is one loss marked by the second circle.
Settings and Inputs
Liquidity Sweep Settings
pivotPeriod: Defines the left and right length of the pivot points to detect swing highs and lows.
maxLine: Maximum number of liquidity lines plotted on the chart.
resistanceColor & supportColor: Colors for Buyside and Sellside liquidity lines.
lineExtend: Number of bars to extend liquidity lines into the future.
hitAction: Determines what happens when liquidity lines are hit (dotted, dashed, or delete).
Market Structure Settings
show_mss: Toggle to display MSS signals on the chart.
show_bos: Toggle to display BOS signals on the chart.
Customizable line styles, colors, and labels for both MSS and BOS.
How to Use the Indicator
Signal Confirmation:
A Buy Signal is most effective when combined with a liquidity sweep of sellside liquidity followed by a bullish market structure shift.
A Sell Signal is most effective when combined with a liquidity sweep of buyside liquidity followed by a bearish market structure shift.
Always check confluence with other indicators such as moving averages or volume analysis.
Trade Management:
Place stop-loss orders below the liquidity sweep low for buys or above the liquidity sweep high for sells.
Use the previous swing high or low as a target or set custom risk-reward ratios.
Why This Indicator Works So Well
✅ Combines liquidity sweeps and market structure for highly accurate signals.
✅ Works across all timeframes and markets.
✅ Automatically plots support and resistance zones.
✅ Provides clear buy and sell signals with customizable alerts.
✅ Helps traders avoid false breakouts by waiting for market structure confirmation.
Conclusion
This indicator is a highly confluential trading tool that combines liquidity sweeps with market structure shifts to generate Buy and Sell signals. It provides a strong edge by confirming liquidity traps with market structure reversals. With customizable settings, it can be adapted to different timeframes and trading styles, making it suitable for both scalping and swing trading strategies.
By automating the detection of these advanced concepts, the indicator helps traders stay objective and disciplined in their decision-making process.
Whether you're a beginner or an advanced trader, this indicator will help you spot high-probability trade setups and improve your overall trading performance.
Disclaimer
This indicator is a powerful tool for identifying potential trading opportunities, but it is not a guarantee of future performance. Use this indicator at your own risk. Trading involves significant risk, and it is essential to have proper knowledge and experience before making any financial decisions. The signals provided by this indicator should be used as part of a comprehensive trading plan and combined with other forms of analysis. The creator is not responsible for any financial losses incurred while using this tool.
Liquidation Levels with Liquidity Sweeps/Breakouts [AlgoAlpha]🌊📈 Dive into the depths of market liquidity with "Liquidation Levels with Liquidity Sweeps/Breakouts" - your ultimate tool for navigating the turbulent waters of trading! 🧹💹 Crafted by the wizards at AlgoAlpha, this Pine Script™ masterpiece illuminates the unseen liquidity levels and sweeps, guiding you through the financial seas with insight. 🚀🔍
Key Features:
🕒 Timeframe Flexibility: Customize your analysis with a TimeFrame Multiplier, allowing the indicator to operate on higher timeframes for broader market insight.
💥 Dynamic Volume Threshold: Set your sensitivity to breakouts with the High Volume Threshold, ensuring you catch significant market movements while avoiding fakeouts.
👀 Visibility Controls: Toggle the display of swept liquidity and highlight liquidity breakouts with customizable background colors for clear, actionable insights.
🎨 Custom Appearance: Personalize your chart with bullish, bearish, and breakout colors to match your trading style.
How to Use the Liquidity Levels with Liquidation Sweeps Indicator:
Maximize your trading efficiency with the Liquidity Levels with Liquidation Sweeps Indicator by following these simple steps! 🚀🌟
⚙️ Customize Settings: Access the indicator settings to personalize the TimeFrame Multiplier, High Volume Threshold, and Relative Volume Period. Tailor these settings to match your trading strategy and chart preferences.
👁️ Analyze Liquidity Levels: Monitor the chart for liquidity levels and sweeps. Bullish sweeps are marked with green labels, bearish sweeps with red, and breakouts highlighted by the chart background.
🔔 Set Alerts: Enable alert conditions for liquidity breakouts and sweeps within the indicator's settings. This feature allows you to receive real-time notifications, helping you to act promptly on trading opportunities.
How It Works:
The heart of this indicator lies in its ability to track and highlight liquidity levels derived from swing pivots, and sweeps across multiple timeframes. By calculating relative volume against a user-defined threshold, it identifies strong volume movements indicative of liquidity breakouts, this helps filter out fake-outs. When a liquidity level is breached but not completely mitigated, it's either marked as a bullish or bearish sweep, which come with the option to show an estimate of the number of liquidations during the sweep.
if peakform and peakprinted != 1
aR.push(line.new(bar_index-mult, h.get(1), bar_index+1, h.get(1), color = red))
aRv.push(h.get(1))
peakprinted := 1
if valleyform and valleyprinted != 1
aS.push(line.new(bar_index-mult, l.get(1), bar_index+1, l.get(1), color = green))
aSv.push(l.get(1))
valleyprinted := 1
AlgoRhythmica - Liquidity StatsThe AlgoRhythmica - Liquidity Stats is a comprehensive trading indicator designed to analyze and plot liquidity data across various time periods. It uses estimated liquidity data and allows traders to select between 6 different scopes to analyze and view that data.
What is liquidity?
Liquidity refers to how quickly and easily an asset can be bought or sold in the market without affecting its price. High liquidity means that there are many buyers and sellers, and transactions can happen rapidly and smoothly.
Liquidity analysis involves examining where and how liquidity is distributed across different price levels.
Price often moves from liquidity zone to liquidity zone, and therefore, having an idea of whether there's more liquidity above or below price give traders an idea of where price might go next.
How does it work?
Internally, the indicator is simulating a complete liquidity map of the chart and cleverly estimates where traders might face losses (liquidations). It does this by looking at the volume of trading in each candle and projecting where, given certain common trading practices like using 10x or 20x leverage, traders are likely to get squeezed out of their positions. These projected squeeze-out points helps in visualizing potential future price movements, as prices often move towards these areas to balance out. But instead of rendering the liquidity on the main chart, which can get cluttered, this data is viewed in a separate panel through a selection of different scopes.
Keep in mind though, this liquidity data here is just an estimation based on general assumptions, it doesn't have access to actual liquidity data.
However, some risk and leverage amounts are more common than others. People like using those even numbers like 10x, 20x leverage or 1% stop loss etc. And that's why the liquidity estimations in this and other liquidity indicators can still be quite accurate.
Special Feature:
A special feature to this indicator is it's unique eye for 'vector candles'—those high-impact candles signaling significant market moves. It tracks these candles over time to see if the market revisits them, a behavior that can indicate major market maker activities and potential price reversal points.
The 6 different plotting scopes:
Liquidity Dominance:
The Liquidity Dominance is the long liquidity minus the short liquidity. When there's more liquidity above price, price tends to go up. There's also a 50 EMA running through it, indicating whether the liquidity dominance is particularly extended.
There is also a setting for normalizing the dominance to an adjustable EMA. Normalizing means that the value of the EMA will then become the zero-value of the dominance. This can be particularly effective in trending markets because it allows traders to see more clearly how the liquidity deviates from it's EMA.
Split Dominance:
This is simply the long and short liquidity plotted separately with a 200 SMA running through. This gives traders a slight more in-depth look at the liquidity. Looking at the difference between long and short liquidity and using the SMA as a reference, traders can more easily spot a trend shift and whether the liquidity types are about to cross each other.
Stochastic LQ:
Instead of using price data, the Stochastic LQ applies the stochastic oscillator formula to liquidity data. It measures the position of the current liquidity level relative to its high-low range over a specified period. By doing so, it aims to provide a clear picture of whether buyers or sellers are dominating the liquidity landscape within the chosen lookback period.
Liquidations:
This will display the amount of volume that was consumed when price wicked or crossed into a liquidity level on that particular bar. There's also a setting to cumulate the liquidations over the selected period. This will show you whether longs or shorts are suffering the most.
Vector Count:
This tool counts the number of unrecovered vector candles. If there are more to the upside, price is likely to go up. The vector count also has a setting for normalizing the count to an EMA. Some older vectors never get recovered and therefore normalizing the count to an EMA can be a more useful way of focusing on more recent vectors.
Total LQ:
By focusing on the total liquidity without differentiating between long and short positions, this tool simplifies the liquidity landscape. High total liquidity can support the sustainability of current trends, as it shows that there is enough market participation to support the price direction.
Additional Features:
Vector Recovery Dots:
A feature to visually identify recovered vector candles, indicating potential market reaction points for strategic entry or exit decisions.
This is used in combination with any of the tools. It will plot dots whenever a vector candle has been recovered. A recovered vector candle while liquidity is extended, could indicate a top or a bottom.
Dynamic Period Selection:
Choose between aggregating the liquidity over a fixed period (Daily, Weekly, Monthly, Yearly etc.) which then stays the same when the user switches timeframe, or choose a dynamic period with a fixed amount of candles which then dynamically shifts when changing time frame. This offers flexibility to look at liquidity over different time frames. Liquidity that falls outside of the selected period is considered gone, as traders eventually close their positions.
Lookback and Sensitivity Adjustment:
Customize the lookback period for volume averages and adjust sensitivity to refine the indicator's responsiveness to volume changes and liquidity calculations.
Leverage Settings:
Input specific leverage amounts to calculate liquidity on. These should be adjusted depending on the chart and timeframe the user is looking at. Decide on up to three different leverage amounts that traders would typically use on the chart and timeframe you're on. The liquidity will then be calculated using that leverage.
Tooltips:
The indicator comes with extensive tooltips for every function, making sure the user understand every part of it.
And as usual, use it together with other market analysis and perhaps a liquidity map of your choice.
ICT LIQUIDITY indicator [Focused Trader]This indicator allows you to draw liquidity according to ICT. Specifically, you can choose to draw liquidity for specific sessions (Asia,New York,London).
Filtering by session
You can chooose to display only liquidities created in specific session. For example, the favourite liquidity is that of Asia. And then, in London market usually grabs it. So you set to display only liquidites of asia.
Session background
You can also display background over specific session, this is very usefull to see how market behaves - liquidity created in Asia is very often taken in London session. You can use any colour you'd like.
Colouring and style of lines
There is an option to choose colour for liquidity lines from different sessions and also choose specific colour for highs and lows. You can also set different styles (dash, dot, arrow, ...) of liquidty lines.
Buyside & Sellside Liquidity [LuxAlgo]The Buyside & Sellside Liquidity indicator aims to detect & highlight the first and arguably most important concept within the ICT trading methodology, Liquidity levels.
🔶 SETTINGS
🔹 Liquidity Levels
Detection Length: Lookback period
Margin: Sets margin/sensitivity for a liquidity level detection
🔹 Liquidity Zones
Buyside Liquidity Zones: Enables display of the buyside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for buyside liquidity levels & zones.
Sellside Liquidity Zones: Enables display of the sellside liquidity zones.
Margin: Sets margin/sensitivity for the liquidity zone boundaries.
Color: Color option for sellside liquidity levels & zones.
🔹 Liquidity Voids
Liquidity Voids: Enables display of both bullish and bearish liquidity voids.
Label: Enables display of a label indicating liquidity voids.
🔹 Display Options
Mode: Controls the lookback length of detection and visualization, where Present assumes last 500 bars and Historical assumes all data available to the user
# Visible Levels: Controls the amount of the liquidity levels/zones to be visualized.
🔶 USAGE
Definitions of Liquidity refer to the availability of orders at specific price levels in the market, allowing transactions to occur smoothly.
In the context of Inner Circle Trader's teachings, liquidity mainly relates to stop losses or pending orders and liquidity level/pool, highlighting a concentration of buy or sell orders at specific price levels. Smart money traders, such as banks and other large institutions, often target these liquidity levels/pools to accumulate or distribute their positions.
There are two types of liquidity; Buyside liquidity and Sellside liquidity .
Buyside liquidity represents a level on the chart where short sellers will have their stops positioned, and Sellside liquidity represents a level on the chart where long-biased traders will place their stops.
These areas often act as support or resistance levels and can provide trading opportunities.
When the liquidity levels are breached at which many stop/limit orders are placed have been traded through, the script will create a zone aiming to provide additional insight to figure out the odds of the next price action.
Reversal: It’s common that the price may reverse course and head in the opposite direction, seeking liquidity at the opposite extreme.
Continuation: When the zone is also broken it is a sign for continuation price action.
It's worth noting that ICT concepts are specific to the methodology developed by Michael J. Huddleston and may not align with other trading approaches or strategies.
🔶 DETAILS
Liquidity voids are sudden changes in price when the price jumps from one level to another. Liquidity voids will appear as a single or a group of candles that are all positioned in the same direction. These candles typically have large real bodies and very short wicks, suggesting very little disagreement between buyers and sellers. The peculiar thing about liquidity voids is that they almost always fill up.
🔶 ALERTS
When an alert is configured, the user will have the ability to be notified in case;
Liquidity level is detected/updated.
Liquidity level is breached.
🔶 RELATED SCRIPTS
ICT-Concepts
ICT-Macros
Imbalance-Detector
SFC Smart Money Manipulation - Liquidity, StructureThis indicator shows very important information about the market.
Features:
- Market structure
- Important Ranges
- Liquidity
- Trading session
- Daily Checklist
Market structure
Market structure is the behaviour, condition, and current flow of the market. It highlights support and resistance levels, swing highs, and swing lows. A trend is simply a consistent direction of price movement over time. Market structure can tell you if the market is trending or not.
Market structure is a lagging indicator, because Highs and Lows must to be created in order to define the structure properly. The structure provide the most important information about the market.
Market structure can provide early signals about the trend.
- If the structure continues to break in the same direction, it means that the trend is healthy and will continue (BoS).
- If the structure break in the opposite direction, means that the trend may reverse or pause for a while (CHoCH).
Important ranges
- Asia Range - it is important intraday range and can provide early information if the day will be bullish or bearish.
- Most recent High/Low - determine the last swing
- Premium/ Discount zone with Fibonacci levels - the institutions always want to buy in discount and sell in premium.
Liquidity
Areas where a lot of traders get into the market and theirs stop losses are obvious. So the banks will manipulate the price to clear these stop losses, before price go in real direction. The banks will always hunt the liquidity.
The major liquidity is:
- Doji candle - displayed
- Double/Triple Highs or Lows - displayed
- Fair value gaps - displayed
- Imbalances - displayed
- Trend lines
- Big wicks
Trading Sessions
Price and Time theory is very significant in Smart Money Concept. The banks do not just place orders chaotically. They place it in specific time.
The indicator shows the Asia, London and New York intraday sessions and the kill zones.
Kill Zone - most manipulated time in the day, where institutions try to wipe out the retail traders and establish the true move.
Daily Checklist
Simple, but very useful checklist. It shows the most important daily steps in order qualitative analysis to be created.
How to use
1) Use the swing highs and lows and check the current structure.
2) Look where is the major liquidity. By default orange colour. When liquidity is retested from the price ,it change the colour from orange to gray. Retested liquidity is no more significant for the banks.
3) Use the important ranges to define the pullbacks or reversals or trading ranges.
4) Use the trading sessions and kill zones to place orders in the right time.
5) Use the "daily checklist" every day - step by step. It helps trader to analyse the current market.
Settings
-Show pivots, Pivot confirmation candles, Equal Highs/Lows sensitivity
-Show structures breaks
-Show most recent high/low
-Show Asia range
-Show premium/discount zone with Fibonacci levels
-Show liquidity, Colour of liquidity, Color of retested liquidity, Doji settings
-Show Trading sessions
-Show daily checklist
Leonid's Bitcoin Macro & Liquidity Regime Tracker🧠 Macro Overlay Score (Bitcoin Liquidity Regime Tracker)
This indicator combines the most important macroeconomic and on-chain inputs into a single unified score to help investors identify Bitcoin’s long-term cycle phases. Each input is normalized into a 0–100 score and blended using configurable weights to generate a dynamic, forward-looking macro regime tracker.
✅ Best used on the **Bitcoin All Time History Index with Weekly resolution** (`INDEX:BTCUSD`) for maximum historical context and signal clarity.
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📈 Why Macro?
Macro liquidity conditions — interest rates, monetary expansion, dollar strength, credit risk — drive Bitcoin cycles . Risk assets like BTC thrive during periods of:
Monetary easing
Liquidity injections
Expansionary central bank policy
This overlay surfaces those periods *before* price follows. It captures cycle shifts in the business cycle, monetary policy, and investor sentiment — making it ideal for long-term allocators, macro-aligned investors, and cycle-focused BTC holders.
🔔 This is **not** designed for short-term or swing trading. It is optimized for **macro trend confirmation and regime awareness** — not fast entry/exit signals.
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🔍 What It Tracks
Macro Inputs:
- 🏭 ISM 3M Trend (Business Cycle)
- 💹 CPI YoY (Inverted Inflation)
- 💵 M2 YoY + M2 Acceleration
- 🇨🇳 China M2 (Global Liquidity)
- 💱 DXY 3M Trend (USD Strength)
- 🏦 TGA & RRP YoY (Treasury / MMF Flows)
- 🏛 Fed Balance Sheet (WALCL)
- 💳 High Yield Spread (Credit Conditions)
- 💧 Net Liquidity Composite = WALCL – TGA – RRP
On-Chain Inputs:
- ⚠️ MVRV Ratio (Valuation Cycles)
- 🚀 Mayer Multiple Acceleration (200DMA Momentum)
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🧩 How It Works
Each input is:
Normalized to a 0–100 score
Weighted by importance (fully configurable)
Combined into a **composite Macro Score**, then normalized across history
The chart will display:
🔷 A 0–100 **Macro Score Line**
🧭 **Cycle Phase classification**: Accumulation, Expansion, Distribution, Capitulation
📊 Optional **debug table** with all sub-scores
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🧠 Interpreting the Signal
| Signal Type | Meaning |
|-------------------|---------------------------------------------|
| Macro Score ↑ | Liquidity improving → Bullish regime forming |
| Macro Score ↓ | Liquidity deteriorating → Caution warranted |
| Score < 40 & Rising | 🔵 Accumulation cycle likely beginning |
| Score > 70 & Falling | 🟡 Distribution / Macro exhaustion |
| Net Liquidity ↑ | Strong driver of BTC upside historically |
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❓ FAQ
Q: Why did the Macro Score peak in March 2021, but Bitcoin topped in November?
> The indicator reflects **macro liquidity**, not price momentum. M2 growth slowed, DXY bottomed, and the Fed stopped expanding WALCL by Q1 2021 — all signs of macro exhaustion. BTC continued on **residual momentum**, but the smart money began exiting months earlier.
Q: What does the score range mean?
- 0–25 : Tight liquidity, unfavorable conditions
- 50 : Neutral environment
- 75–100 : Strong easing, liquidity surge
Q: Is this good for short-term signals?
> No. This is a **macro-level overlay**, best used for 3–12 month context shifts, not day trades.
Q: Can I adjust the weights?
> Yes. You can tune the influence of each input to match your thesis (e.g., overweight on-chain, or global liquidity).
Q: Do I need special data access?
> No. All symbols are public TradingView datasets (FRED, CryptoCap, etc.). Just use this on a BTC chart like `BTCUSD`.
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✅ How to Use
- Load on **`INDEX:BTCUSD`**, set to **Weekly timeframe**
- Confirm long-term bottoms when score is low and rising (Accumulation → Expansion)
- Watch for tops when score is high and falling (Distribution → Capitulation)
- Combine with price structure, realized profit/loss, and market sentiment
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🚀 If you're serious about understanding Bitcoin's macro regime, this is your alpha map. Share it, clone it, and build on it.
