Fed Net Liquidity IndicatorThis indicator aims to present a "Net Liquidity" indicator comprised of the Fed Balance sheet , less the TGA account and Overnight Reverse REPO agreements.
Net Liquidity = Fed Balance Sheet - ( TGA + Reverse REPO)
This is an overlay that can be added to stock or other charts (like SPY ) to see how the market may appear correlated to Net Liquidity - injection of liquidity into the markets.
This was hypothesized by Max Anderson, this is just a script realizing that posting.
New updates include a resolution feature, and an option to offset backwards by 2 days per original intent.
在脚本中搜索"liquidity"
Liquidity Grab Entry Signals [Daily Enhanced]Liquidity Grab Entry Signals is a powerful tool designed to detect intraday reversal opportunities around daily high/low liquidity zones.
Core features: – Plots current daily high/low levels
– Identifies price interaction with these key zones
– Confirms rejection via strong engulfing candles
– Plots real-time long/short entry signals directly on chart
– Includes alerts for both long and short setups
This script is ideal for scalpers and intraday traders looking to exploit stop hunts, liquidity sweeps, and false breakouts.
Optimized for instruments like US30, NAS100, Gold, BTC and more.
Customize the sensitivity buffer to suit your asset and timeframe.
Use this in combination with VWAP, FVG or Smart Money concepts for enhanced confirmation.
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Built for: 1s–15m charts
Includes: Alerts + Custom Settings
Type: Non-repainting
Trade with clarity around the most manipulated price levels of the day.
Liquidity Volume Panel Liquidity Volume Panel – Precision Tool for Scalpers & Intraday Traders
This panel is designed to help traders quickly identify volume-driven moves, liquidity events, and fair-value zones. It combines classic volume analysis with enhanced tools like RVOL and VWAP deviation bands, making it ideal for scalping, momentum trading, and intraday strategies.
🔍 Included Features:
✅ Relative Volume (RVOL) Indicator
Displays current volume in relation to its 20-period average – excellent for spotting low-activity zones or high-pressure breakouts.
✅ Dynamic Volume Coloring & Spike Detection
Color-coded volume logic highlights normal, strong, and extremely high volume, with visual markers for volume spikes (>200% of average).
✅ VWAP with ±1σ & ±2σ Bands
Industry-standard deviation bands show overbought/oversold conditions and dynamic support/resistance based on volume-weighted pricing.
✅ Background Highlighting
Subtle orange background alerts you when volume surges beyond extreme levels – making liquidity clusters instantly recognizable.
Usage:
Use this panel as a decision-making tool for entries, reversals, or breakouts – especially in fast-moving markets.
Best used on lower timeframes for precision scalping.
CandelaCharts - Liquidity Key Zones (LKZ)📝 Overview
The Liquidity Key Zones indicator displays the previous high and low levels for daily, weekly, monthly, quarterly, and yearly timeframes. These levels serve as crucial price zones for trading any market or instrument. They are also high-probability reaction zones, ideal for trading using straightforward confirmation patterns.
Each of these levels plays a significant role in determining whether the market continues its momentum or reverses its bias. I like to think of these levels as dual magnets—they simultaneously attract and repel price. You might wonder how having opposing views can be useful. The key is to remain neutral about direction and establish your own rules to identify when these zones are likely to attract or repel price. I have my own set of rules, and you can develop yours.
📦 Features
MTF
Styling
⚙️ Settings
Day: Shows previous day levels
Week: Shows previous week levels
Month: Shows previous month levels
Quarter: Shows previous quarter levels
Year: Shows previous year levels
Show Average: Shows previous level average price
Show Open: Shows previous level open price
⚡️ Showcase
Daily
Weekly
Monthly
Quarterly
Yearly
Average
Open
📒 Usage
When the price breaks through a significant level, such as a daily, weekly, or monthly high or low, it often signals a potential reversal in market direction. This occurs because these levels represent key areas of support or resistance, where traders anticipate heightened activity, including profit-taking, stop-loss orders, or new positions being initiated.
Once the price breaches these levels, it may trigger a sharp reaction as market participants adjust their strategies, leading to a reversal. Monitoring price action and volume around these levels can provide valuable confirmation of such reversals.
Another effective approach to utilizing these pivot points is by incorporating them into a structured trading strategy, such as the X Model, which leverages multiple timeframes and technical tools to refine trade entries and exits.
X Model conditions:
(D1) Previous Day High (ERL)
(H1) Bullish FVG/IFVG/OB (IRL)
(m15) MSS / SMT
Only Short Above 00:00
By combining these elements, the X Model offers a comprehensive framework for leveraging pivot levels effectively, emphasizing confluence between liquidity zones, time-based rules, and multi-timeframe analysis to enhance trading accuracy and consistency.
🚨 Alerts
This script provides alert options for all signals.
Bearish Signal
A bearish signal is generated when the price breaks below the previous low level.
Bullish Signal
A bullish signal is generated when the price breaks above the previous low level.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Liquidity ZonesLiquidity Zones Indicator
The Liquidity Zones indicator is a custom Pine Script™ tool designed to identify significant price levels where high trading volume has occurred. These zones often act as support or resistance levels, providing valuable insights for traders.
Key Features:
Window Size: The number of bars to consider for calculating the moving averages and identifying peaks.
Tolerance: The allowable percentage difference to consider peaks as unique.
Number of Peaks: The maximum number of significant peaks to identify.
Minimum Volume: The minimum volume threshold relative to the average volume to consider a peak.
Minimum Range: The minimum price range to consider a peak.
How It Works:
Input Parameters: The user can customize the window size, tolerance, number of peaks, minimum volume, and minimum range.
Moving Averages: The script calculates the simple moving average (SMA) of the volume and closing prices over the specified window.
Peak Identification:
For each bar, the script identifies the bar with the highest volume within the window.
It checks if the volume exceeds the minimum volume threshold.
It determines the peak price based on whether the bar closed higher or lower than it opened.
It ensures the price range of the bar exceeds the minimum range.
It checks if the peak is above the SMA of the closing prices.
It verifies the peak is unique within the specified tolerance.
Plotting Peaks: The identified peaks are plotted on the chart with lines and labels, color-coded based on whether the bar closed higher (green) or lower (red).
This indicator helps traders visualize key liquidity zones, aiding in making informed trading decisions.
Session LiquidityThe “Session Liquidity” TradingView indicator by Infinity Trading creates dynamic horizontal lines at the high and low points of a specified time span within the trading day. This indicator gives the user control of three separate time spans so the user can dynamically see the highs and lows of their favorite daily time spans.
Purpose
This indicator is similar to my TradingView indicator “Futures Exchange Sessions 3.0”. In that indicator the user gets control of dynamic price boxes. For me, these boxes made it difficult to spot ICT’s Orderblocks. So instead of boxes I made independently controllable lines and now I can spot ICT Orderblocks and easily identify Liquidity Pools.
Inputs and Style
Everything about the three dynamic lines can but independently configured. Start & End Times, Line Color, Line Style, Line Width, Text Characters, Text Size, Text Color can all be adjusted. The high and low lines as well as their text labels can be individually toggled on or off for maximum control.
Timezone
All of the start and end times are in EST. Additionally, each time span line needs a specific start of each day. This is controlled by a setting called “Line Start Day Timezone” where the user sets a timezone that corresponds with the start time. In general if a timespan resides within a particular Session pick the corresponding timezone. If the users line fits in the Asian Session then choose Asia/Shanghai. If the line is within the London Session then choose Europe/London. And the same goes for the New York Session.
Special Notes
If the Line Start Time is within one candle of the Start Day Timezone in the Settings, then the line/box won’t display. So choose the previous timezone
Lines only display when the timeframe is <= 30 minute
Gallery
Unraided Liquidity and S/R PivotsThis indicator is designed to show key pivot points, also known as levels, which could provide good trade entries.
Utilising liquidity concepts, untested pivot levels can be a good place to enter a trade after the pivot is tested, liquidity is taken and the direction reverses.
Alternatively, utilising the option of viewing already tested levels, you can easily see the key support and resistance areas that price is likely to have a strong reaction to, whether it wants to go toward or bounce away from these levels.
The indicator does not give buy and sell signals, it is up to you to use the levels to form your trading plan.
Oorah.
Liquidity Pro Map - ArchitLiquidity Indicator for gauging orders volatility. It is visually highlight where buy and sell liquidity is concentrated on a chart.
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!
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…)
USD Liquidity Conditions Index Swing Stock Strategy Original credits goes to @ElDoggo22 www.tradingview.com
I looked in the post created by him, of USD liquidity and I have noticed that if you are going to apply a percentile top and bottom to it, can become an interesting swing strategy for US Stocks.
So in this case I decided to create a 99th percentile for top and 4th percentile for bot with a big length, preferably 100+ candles, for this example i took 150.
Rules for entry :
Long : either bot or top lines are ascending
We exit long either the top line is descending, or we have sudden cross of the moving average with both top and bot within the same candle
Short: we enter short when we have a sudden cross down of the moving average with both top and bot within the same candle
We exit short when we have a cross over of the moving average with both top and bot within the same candle ( or we have a long entry condition)
If there are qny questions, please let me know !
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!
HTF LQ SweepThe following script recognises QL sweeps in the desired time frame with alarm function!
Theory:
There is liquidity above highs and below lows. If this is tapped and the market reacts strongly immediately, the probability of a reversal is greatly increased! In the chart, this is defined in such a way that a candle has its wicks BELOW the old low, but the close is ABOVE the old low. the same applies to the high, of course!
In such a case we have an "LQ Sweep"
How does the script work?
Williams 3 fractals are used as a basis. These are meaningful as lows or highs. Whenever a fractal is created, the price level is saved.
This means that not only the last fractal is relevant, but all historical fractals as long as they have not been reached!
If a candle reaches the level, but shows a rejection and closes within the level again, we have our "LQ Sweep" setup.
In the script you can select the timeframe in which the market has to be analysed. When the QL sweep occurs, an alert is triggered. This saves a lot of time because you can analyse different markets in different timeframes at the same time!
Each QL Sweep is marked in the chart when we are in the selected timeframe. These can also be deactivated so that only the last sweep is displayed.
Benefits for the trader:
An LQ sweep is a nice confirmation for a reversal.
If we have such an LQ sweep, we can wait in the lower timeframe for further confirmation, such as a structural break, to position our entries there.
The alarm function saves us a lot of time and we only go to the chart when a potential setup has been created.
You can set different time frames in the script: The selected time frame is then scanned and sends a signal when the event occurs.
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 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 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.
