Trend Channels With Liquidity Breaks [ChartPrime]Trend Channels
This simple trading indicator is designed to quickly identify and visualize support and resistance channels in any market. The primary purpose of the Trend Channels with Liquidity Breaks indicator is to recognize and visualize the dominant trend in a more intuitive and user-friendly manner.
Main Features
Automatically identifies and plots channels based on pivot highs and lows
Option to extend the channel lines
Display breaks of the channels where liquidity is deemed high
Inclusion of volume data within the channel bands (optional)
Market-friendly and customizable colors and settings for easy visual identification
Settings
Length: Adjust the length and lookback of the channels
Show Last Channel: Only shows the last channel
Volume BG: Shade the zones according to the volume detected
How to Interpret
Trend Channels with Liquidity Breaks indicator uses a combination of pivot highs and pivot lows to create support and resistance zones, helping traders to identify potential breakouts, reversals or continuations of a trend.
These support and resistance zones are visualized as upper and lower channel lines, with a dashed center line representing the midpoint of the channel. The indicator also allows you to see the volume data within the channel bands if you choose to enable this functionality. High volume zones can potentially signal strong buying or selling pressure, which may lead to potential breakouts or trend confirmations.
To make the channels more market-friendly and visually appealing, Trend Channels indicator also offers customizable colors for upper and lower lines, as well as the possibility to extend the line lengths for further analysis.
The indicator displays breaks of key levels in the market with higher volume.
Pesquisar nos scripts por "liquidity"
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 Depth [Pro+]Description:
Liquidity Depth Pro+ is a trading tool with a remarkable adaptability and perfectly aligned with the intricate demands of the futures, forex, and bond markets. This indicator is based on a concept taught by the Inner Circle Trader (ICT), who explains that institutions tend to dig deeper into Liquidity Pools above highs and below lows. Specifically, ICT mentions how in Forex these Liquidity Depths are classically manifested as 10-20-30 pips respectively.
This tool allows the Analyst to adapt this concept based on their understanding of price. It delves into the essence of institutional trading, exposing deeper liquidity depth pursued by institutional giants and astute bank traders that lay further than the mere extremities of price.
CME_MINI:NQ1! Example (Tuesday):
Price raids Monday's low
Price raids Friday's low
Price digs deeper into one of Friday's Deep Liquidity Pools
Low of the Day Reversal
Note: the Depths used in this example are 30-60-90 points.
Key Features:
Versatility Across Assets: Liquidity Depth Pro+ is finely tailored for futures, forex, and bond markets, making it an all-encompassing solution suitable for a broad range of financial instruments.
Timeframe Customization: Liquidity Depth Pro+ allows users to decide Timeframe Liquidity empowering the analyst with flexibility.
Historical Pools: Choose up to the last 20 highs and lows to mark liquidity pools from the User Selected Timeframe.
Universal Trading Style: Regardless of your trading approach, be it trend-following or reversal models, this indicator embraces all styles. It offers a holistic perspective to navigating liquidity zones above highs and below lows of the chosen Timeframe.
Visual Precision: This indicator visualizes the liquidity depth with a customizable style, allowing the analyst to frame the position of deeper liquidity pools above highs and below lows.
Liquidity Table: Keep track of liquidity levels and unlock faster decision making by taking advantage of the visual Liquidity Table cues.
Adaptive Table Colors: When price is above your desired liquidity pool high, the table will match the liquidity high color to indicate a current liquidity raid or deeper pool being attacked. Vice versa, when price is below your desired liquidity pool low, the table will match the liquidity low color.
Real-Time Alerts: Save Time with live alerts that provide valuable insights into potential opportunities and liquidity purges at your desired liquidity levels.
Other Features:
Choose the Depth Type ("Auto", "Value", "Ticks", "Pips"). The “Auto” feature will select the best unit of measurement for the depths based on the current market on chart.
Choose to show up to Three Liquidity Depths.
Customize the Liquidity Line Style.
Customize the Liquidity Line Color.
Customize the Liquidity Line Width.
Customize Table Size and Location
Usage Guidance:
Add Liquidity Depth to your Tradingview chart.
Customize your desired Timeframe and Liquidity Depths to align with your personal preference.
Observe where the Liquidity Lines manifest above and below your chosen Timeframe’s highs and lows respectively, once they are raided.
Leverage this invaluable information to frame the narrative, whether you opt to pursue liquidity or capitalize on post-purge reversals.
These tools are available ONLY on the TradingView platform.
Terms and Conditions
Our charting tools are products provided for informational and educational purposes only and do not constitute financial, investment, or trading advice. Our charting tools are not designed to predict market movements or provide specific recommendations. Users should be aware that past performance is not indicative of future results and should not be relied upon for making financial decisions. By using our charting tools, the purchaser agrees that the seller and the creator are not responsible for any decisions made based on the information provided by these charting tools. The purchaser assumes full responsibility and liability for any actions taken and the consequences thereof, including any loss of money or investments that may occur as a result of using these products. Hence, by purchasing these charting tools, the customer accepts and acknowledges that the seller and the creator are not liable nor responsible for any unwanted outcome that arises from the development, the sale, or the use of these products.
Finally, the purchaser indemnifies the seller from any and all liability. If the purchaser was invited through the Friends and Family Program, they acknowledge that the provided discount code only applies to the first initial purchase of the Toodegrees Premium Suite subscription. The purchaser is therefore responsible for cancelling – or requesting to cancel – their subscription in the event that they do not wish to continue using the product at full retail price. If the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable. We hold no reimbursement, refund, or chargeback policy. Once these Terms and Conditions are accepted by the Customer, before purchase, no reimbursements, refunds or chargebacks will be provided under any circumstances.
By continuing to use these charting tools, the user acknowledges and agrees to the Terms and Conditions outlined in this legal disclaimer.
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.
GLOBAL LIQUIDITY (Simple Proxy)I know there are many global liquidity indicators out there similar to this one.
This one just adds a little bit of more options for visualize different central banks and either stack data, see year over year changes, or visualize separate unstacked data.
Swing Levels and Liquidity - By LeviathanThis script will plot pivot points (swing highs and lows) in the form of lines, boxes or labels to help you identify market structure, “liquidity” areas, swing failure patterns, etc. You are also able to see the volume traded at each pivot point, which will help you compare their significance.
Bars Left-Right
A pivot high (swing high) is a bar in a series of bars that has a higher value than the bars around it and a pivot low (swing low) is a bar in a series of bars that has a lower value than the bars surrounding it. The Bars Left and Bars Right parameters are used to define the number of bars on the left and right sides of a pivot point that the function should consider when identifying pivot highs and lows in a time series. For example, if Bars Left is set to 5 and Bars Right is set to 6, the function will look for a pivot point by comparing the value of the current bar with the values of the 5 bars to its left and the 6 bars to its right. If the value of the current bar is higher than all of these bars, it is considered a pivot high point. These parameter can be used to adjust the sensitivity of the script (lowering the Bars Left and Bars Right parameters will give you more swing points and increasing the Bars Left and Bars Right parameters will give you fewer swing points).
”Show Boxes” - This will draw a box above the swing high and a box below the swing low to help you visualise a large area of interest around swing points. Additional box types and the width of the box can be adjusted in Appearance settings below.
”Show Lines” - This will draw a horizontal line at the level of each swing high and swing low.
”Show Labels” - This will plot a circle at the high point of each swing high and at the low point of each swing low.
”Show Volume” - This will display the amount of volume traded in a given swing point candle. It can help you identify the significance of a given swing point by comparing it to the volumes of other swing points.
”Extend Until Filled” - This will extend the swing point levels until they are mitigated by the price. Turning it off will continue plotting the levels just a few more bars after a swing point occurs.
”Appearance” - You can show/hide swing points, choose the colors of labels, lines and boxes, choose the size and positioning of the text, choose line and box appearance (adjust the Box Width when switching between timeframes!) and more.
More updates coming soon (MTF, more data…)
Candle Wick Patterns Alerts & Liquidity TargetsCandle wicks provide incredibly useful confluence and confirmation of price action and technical analysis.
Quite simply a wick is formed by price being moved to an extreme by one side, then price being pushed back by the other side.
This can show increased pressure by one side, reduced or increased momentum, or exhaustion by another side.
This indicator while simple, is extremely powerful and versatile and can be set up to recognize numerous types of candle wick and therefore suit numerous trading styles.
The settings as to how wicks are highlighted are:
- Timeframe - view wicks on a higher timeframe while trading on a lower timeframe
- Minimum Wick to Body Ratio - increasing this value will look for wicks who are at least n times larger than the candle body. The most obvious examples here are Doji's - hammer, gravestone, dragonfly, etc. These can indicate trend reversals, indecision and changing momentum.
- Minimum Candle Body as percent of price - this value makes sure that any wick highlighted, belongs to a candle with a body that is at least n% of the price. A higher value is likely to show price momentum is stronger in a particular direction, good for confirming a trend.
- Minimum Candle Wick as percent of price - similar to candle bodies, this value will make sure the candle wick is at least n% of the price. This will identify large fluctuations in price, and if you are familiar with smart money concepts, an increasingly popular strategy is to target 50% of the wick being filled (liquidity).
- Show half fill level of wick - As above, this can provide a good target, which price will be drawn to, depending on the wick.
Finally, the indicator can be used to create alerts when a new wick that meets your settings criteria, is formed.
And don't forget you can add the indicator multiple times, with different settings to cover multiple scenarios and timeframes!
Untapped Forceable LiquidityUses likely stop placements and liquidation points to visualize where there may be forceable buy or sell orders on the chart.
Good for catching wicks for entries or to see whether the bulls or the bears are in control. For example, a wick down into a liquidity point and a close back above it may be seen as bullish as the sell pressure was overwhelmed by the bulls.
Anyways, I like to use it for game theorizing for trend analysis.
Liquidity 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.
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.
Daye Quarterly Theory ~ DQT [Liquidity_Pro]Thanks
This indicator puts the time-based research of trader Daye on your chart. Daye studied the ICT killzones and macro times and presented his findings, as “Quarterly Theory” on YouTube. Thank you Daye for sharing!
This indicator is not the first, so S/O to @toodegrees, @a1tmaniac and @joshuuu for their own excellent Quarterly Theory indicators. Last but not least, huge thanks go to ICT for his trading innovation and generous free price action education and to @twingall for his insight, attention to detail and great teamwork coding this indicator.
Daye’s Quarterly Theory
First, the fundamental concept is that all units of time can be divided by four into quarters -- just as we look at the year’s corporate reporting cycle of Q1, Q2, Q3, and Q4.
Dividing the day by four, into six hour quarters and again into 90 minute quarters and again into 22.5 minute ‘Micro’ quarters we reach the smallest unit shown by this indicator. Apply it to your NQ1! or ES1! charts and you may see remarkable confluence with the ICT macro times!
Why would we want to do this? It helps us understand, visualize and predict ICT’s PO3 concept:
• A - Accumulation (required for a cycle to occur)
• M - Manipulation
• D - Distribution
• X - Reversal/Continuation
The bottom line - we want to sell after a manipulation (M) up, or buy after a manipulation down and Quarterly Theory plots times on your chart where this may occur. Every asset is different, so back-test and research it.
Note, this indicator always shows Q1 as the accumulation quarter (by color), but the order is not fixed and instead of AMDX may appear as XAMD, where Q1 is the Reversal/Continuation quarter. We may eventually offer an update to this indicator which would automatically transpose the quarter colors for you.
The Quarters
Yearly:
• Q1 - Jan, Feb, Mar
• Q2 - Apr, May, Jun
• Q3 - Jul, Aug, Sep
• Q4 - Oct, Nov, Dec
Monthly (starts with the first month’s Monday regardless of the date):
• Q1 - Week 1, first Monday of the month
• Q2 - Week 2, second Monday of the month
• Q3 - Week 3, third Monday of the month
• Q4 - Week 4, fourth Monday of the month
Weekly (Daye ignores Friday and Sunday’s price action):
• Q1 - Mon
• Q2 - Tue
• Q3 - Wed
• Q4 - Thu
Daily (times are all EST / New York):
• Q1 - 18:00 - 00:00 Asia
• Q2 - 00:00 - 06:00 London
• Q3 - 06:00 - 12:00 NY AM
• Q4 - 12:00 - 18:00 NY PM
90 Minute:
• Q1 - 18:00 - 19:30
• Q2 - 19:30 - 21:00
• Q3 - 21:00 - 22:30
• Q4 - 22:30 - 00:00
Micro (22.5 minute quarters, DQT only displays Micros on 7 minute TF or lower)
• Q1 - 18:00 - 18:22:30
• Q2 - 18:22:30 - 18:45
• Q3 - 18:45 - 19:07:30
• Q4 - 19:07:30 - 19:30
About the DQT Indicator
This indicator plots the quarterly time boxes in a panel which can be placed above or below your chart. It allows you to add labels with the opening time and dates and also place time of day markers which can be useful for anyone who wants to mark lunch, and of the trading day or perhaps a favorite ICT macro time. It also works on GOLD (CAPITALCOM), DXY (TVC), currencies and stocks in Regular Trading Hour (RTH) mode.
Note the way that the indicator displays quarters is affected by the time frame you are viewing and as a result you may notice imperfections. Also, the indicator is not tuned to work with every broker, so for example with DXY, you will see the TVC feed is displayed nicely but other feeds are not.
Settings
The DQT indicator offers a great deal of flexibility to customize the display of quarters aesthetically. But it’s designed to work out-of-the-box on both light and dark background charts. It's set up to only show 90 minute and micro quarters initially, but in the settings, you can turn on the daily, weekly, monthly, and yearly quarters. Remember you will only see the Micros on the 7 minute TF or lower.
Lastly, the DQT indicator works well with our DOB indicator allowing you to visualize the confluence of high timeframe PDAs or POIs with manipulation quarters.
If you find our indicators useful, please boost, comment and share -- it's very motivational for us to develop them further and publish new ones!
LiquidityFlow Dominance+Alerts (btc.d, T3, Stables)LiquidityFlow Dominance+Alerts: Overview & Usage Guide
Overview
The LiquidityFlow Dominance+Alerts indicator provides a dynamic view of liquidity flow across Bitcoin, Altcoins, and Stablecoins, helping track liquidity shifts and identify market sentiment. By integrating moving averages, custom alerts, and thresholds for extreme outliers, this indicator helps to anticipate bullish and bearish shifts in liquidity and alert market tops and bottoms.
Key features include:
1. Liquidity Flow Monitoring : Track liquidity flow across Bitcoin (BTC), Altcoins (TOTAL3), and Stablecoins (USDT, USDC, DAI).
2. Custom Alerts : Set alerts for key liquidity shifts and extreme conditions in Stablecoin dominance, both with static and moving average (MA)-based calculations.
3. Moving Averages : Use Simple, Exponential, or Weighted Moving Averages to smooth out market data for more reliable signals.
4. Outlier Detection : Identify potential tops and bottoms using thresholds for Stablecoin dominance, with alerts for extreme movements.
Functionality
Data Inputs and Key Metrics
- Symbols Monitored:
- Bitcoin Dominance (BTC.D)
- Altcoin Market Cap (TOTAL3)
- Stablecoins (USDT.D, USDC.D, DAI.D)
- Liquidity Flow Conditions:
- Track percentage changes in dominance across sectors to detect liquidity flow into Bitcoin, Altcoins, or Stablecoins.
- Custom Metrics:
- Liquidity Flow Index: BTC Dominance minus Stablecoin Dominance.
- Liquidity Flow Ratio: BTC Dominance divided by the combined dominance of Stablecoins and Altcoins.
Moving Average Integration
- Select from SMA, EMA, or WMA to apply moving averages to the dominance metrics. Moving averages help smooth out short-term volatility and provide more consistent signals.
- Moving averages are applied to each sector (BTC, Altcoins, and Stablecoins) and compared to their previous period values to determine shifts in liquidity.
Alerts and Thresholds
- % Change Lookback Period: Adjust the lookback period to align with the timeframe of your chart. Shorter timeframes may require a lower lookback period, while higher timeframes may benefit from longer periods.
- Stables Bull/Bear % for Alerts: Set a threshold for when Stablecoin dominance becomes a bullish or bearish signal relative to BTC and Altcoins. A higher threshold may be used in volatile markets to filter out noise.
- Extreme Outliers Detection: Use the **Stables Up/Down Extreme Threshold** to identify potential market tops or bottoms when Stablecoin dominance deviates significantly from historical trends. The **Extreme Lookback Period** controls the time window for detecting these anomalies.
How to Use the Indicator
Adjusting the % Change Lookback Period
- The `% Change Lookback Period` should be adjusted based on your chart’s timeframe. For example, a shorter period (e.g., 7) works well for intraday charts, while longer periods (e.g., 14) might be more suitable for daily or weekly charts.
Setting Thresholds for Alerts
- Stables Bull/Bear % for Alerts: Adjust this setting to define when Stablecoin dominance triggers bullish or bearish alerts. A value like 1% could be a good starting point for most market conditions but can be fine-tuned based on volatility.
- Extreme Lookback Period: Define the lookback period for detecting extreme moves in Stablecoin dominance. This will help identify major tops and bottoms in the market. For shorter-term trades, consider using a shorter extreme lookback (e.g., 7-10 periods).
Alerts for Liquidity Shifts
- The indicator supports alerts for key liquidity shifts, which are useful for staying ahead of market movements. Alerts can be set to notify you when liquidity moves into:
- Bitcoin: Indicating a potential bullish trend for Bitcoin.
- Altcoins: Signaling altcoins are bullish.
- Stablecoins: Suggesting a risk-off environment or market correction.
Extreme Alerts for Stables
- Extreme Up/Down Alerts: These are triggered when Stablecoin dominance crosses extreme thresholds. For example, if Stablecoin dominance rises more than 14% over a set period, it could signal a market top, while a significant drop could indicate a market bottom.
Moving Average Calculations
- In addition to static percentage changes, moving averages can be applied to smooth out dominance values. The type and length of the moving average can be customized:
- SMA (Simple Moving Average): Best for smoothing out volatility in a linear way.
- EMA (Exponential Moving Average): More responsive to recent data, making it useful in faster markets.
- WMA (Weighted Moving Average): Emphasizes more recent data, but less reactive than the EMA.
Additional Usage Tips:
- Background Colors: The indicator visually highlights the dominant liquidity flow:
- Orange: Liquidity is shifting toward Bitcoin.
- Aqua: Liquidity is flowing into Altcoins.
- Red: Liquidity is moving into Stablecoins.
Liquidity Market Seeking SwiftEdgeThis indicator is designed to identify potential liquidity levels on the chart by detecting swing highs and lows, which are often areas where stop-loss orders or significant orders accumulate. It visualizes these levels with horizontal lines and labels on the right side of the chart, color-coded based on volume to help traders understand where the market might seek liquidity.
How It Works
Swing Highs and Lows: The indicator uses the ta.pivothigh and ta.pivotlow functions to identify significant swing points over a user-defined lookback period (Swing Length). These points are considered potential liquidity levels where stop-loss orders might be placed.
Volume Analysis: The indicator compares the volume at each swing point to the average volume over a specified period (Volume Average Length). Levels with above-average volume are colored red, indicating higher liquidity, while levels with below-average volume are colored green.
Liquidity Visualization: Horizontal dashed lines are drawn at each identified level, extending across the chart. Labels on the right side display the estimated liquidity amount (simulated based on volume and a multiplier, Volume Multiplier for Liquidity).
Sell Signal: A "SELL NOW" label appears when the price approaches a liquidity level after an uptrend (detected using a simple moving average crossover). This suggests a potential reversal as the market may target liquidity at that level.
Strategy Concept: Market Seeking Liquidity
The indicator is based on the concept that markets often move toward areas of high liquidity, such as clusters of stop-loss orders or significant order accumulations. These liquidity pools are typically found around swing highs and lows, where traders place their stop-losses or large orders. By identifying these levels and highlighting those with higher volume (red lines), the indicator aims to show where the market might move to "grab" this liquidity. For example, after an uptrend, the market may reverse at a swing high to take out stop-losses above that level, providing liquidity for larger players to enter or exit positions.
Settings
Swing Length: The number of bars to look back for detecting swing highs and lows. Default is 20.
Liquidity Threshold: The price threshold for merging nearby levels to avoid duplicates. Default is 0.001.
Volume Average Length: The period for calculating the average volume to compare against. Default is 20.
Volume Multiplier for Liquidity: A multiplier to scale the volume into a simulated liquidity amount (displayed as "K"). Default is 1000.
Usage Notes
Use this indicator on any timeframe, though it may be more effective on higher timeframes (e.g., 1H, 4H) where swing points are more significant.
Red lines indicate levels with higher volume, suggesting stronger liquidity pools that the market might target.
Green lines indicate levels with lower volume, which may be less significant.
The "SELL NOW" signal is a basic example of how to use liquidity levels for trading decisions. It appears when the price approaches a liquidity level after an uptrend, but it should be used in conjunction with other analysis.
Adjust the Volume Multiplier for Liquidity to scale the displayed liquidity amounts based on your instrument (e.g., forex pairs may need a higher multiplier than indices).
Liquidity Heatmap SwiftEdgeDescription
Liquidity Heatmap with Buy/Sell Side (Blue/Red) is a technical analysis tool designed to help traders identify potential liquidity zones in the market by combining swing high/low detection with volume analysis, visualized as a heatmap overlay on the chart. This script highlights areas where significant buying or selling pressure may exist, often acting as support or resistance levels, and provides a clear visual representation of these zones using color-coded heatmap boxes and labeled bubbles.
What It Does
The script identifies key price levels (swing highs and lows) where liquidity is likely to be concentrated, such as stop-loss clusters or pending orders. These levels are then grouped into a heatmap, with blue zones representing potential buy-side liquidity (below the current price) and red zones indicating sell-side liquidity (above the current price). Each zone is marked with a bubble showing the estimated liquidity amount, derived from volume data, to help traders gauge the strength of the level.
How It Works
The script combines three main components to create a comprehensive liquidity visualization:
Swing Highs and Lows Detection:
The script uses the ta.pivothigh and ta.pivotlow functions to identify swing highs and lows over a user-defined lookback period (Swing Length). These levels often represent areas where price has reversed, indicating potential liquidity zones where stop-losses or pending orders may be placed.
Volume Analysis:
Volume data at each swing high/low is captured and averaged over a specified period (Volume Average Length). This volume is then scaled using a multiplier (Volume Multiplier for Liquidity) to estimate the liquidity amount at each level, displayed in thousands (e.g., "10K") on the chart via labeled bubbles.
Heatmap Visualization:
The identified levels are grouped into price bins to form a heatmap. The price range is divided into a user-defined number of bins (Number of Heatmap Bins), and each bin is drawn as a colored box (blue for buy-side, red for sell-side). The transparency of the heatmap boxes can be adjusted (Heatmap Transparency) to ensure they do not obscure the price action.
Why Combine These Components?
The combination of swing highs/lows, volume analysis, and a heatmap provides a powerful way to visualize liquidity in the market. Swing highs and lows are natural points where liquidity tends to accumulate, as they often coincide with areas where traders place stop-losses or pending orders. By incorporating volume data, the script quantifies the potential strength of these levels, giving traders insight into the magnitude of liquidity present. The heatmap visualization then aggregates these levels into a clear, color-coded overlay, making it easy to see where buy-side and sell-side liquidity is concentrated without cluttering the chart.
This mashup is particularly useful because it bridges price action (swing levels), market activity (volume), and visual clarity (heatmap), offering a holistic view of potential support and resistance zones that might influence price movements.
How to Use It
Add the Indicator to Your Chart:
Apply the script to your chart by adding it from the Pine Script library. It will overlay directly on your price chart.
Interpret the Heatmap:
Blue Zones (Buy-Side Liquidity): These appear below the current price and indicate levels where buying pressure or stop-losses from short positions may be located.
Red Zones (Sell-Side Liquidity): These appear above the current price and indicate levels where selling pressure or stop-losses from long positions may be located.
The intensity of the color is controlled by the Heatmap Transparency setting—lower values make the zones more opaque, while higher values make them more transparent.
Analyze the Bubbles:
Each liquidity zone is marked with a bubble showing the estimated liquidity amount in thousands (e.g., "10K"). The size of the bubble is scaled by the Bubble Size Multiplier, with larger bubbles indicating higher liquidity.
Adjust Settings for Your Needs:
Liquidity Settings:
Swing Length: Controls the lookback period for detecting swing highs and lows. A smaller value (e.g., 10) is better for shorter timeframes like 1-minute charts, while a larger value (e.g., 50) suits higher timeframes.
Liquidity Threshold: Defines how close two levels must be to be considered the same, preventing duplicate zones.
Volume Average Length: Sets the period for averaging volume data at swing points.
Volume Multiplier for Liquidity: Scales the volume to estimate liquidity amounts shown in the bubbles.
Lookback Period (Hours): Limits how far back the script looks for liquidity zones.
Use Price Window Filter: If enabled, only shows zones within a price range defined by Liquidity Window (Points per Side).
Heatmap Settings:
Number of Heatmap Bins: Determines how many price bins the heatmap is divided into. More bins create a finer resolution but may clutter the chart.
Heatmap Bin Height (Points): Sets the vertical height of each heatmap box in price points.
Heatmap Transparency: Adjusts the transparency of the heatmap boxes (0 = fully opaque, 100 = fully transparent).
Display Settings:
Bubble Size Multiplier: Scales the size of the bubbles showing liquidity amounts.
Trading Application:
Use the heatmap to identify potential support (blue zones) and resistance (red zones) levels where price may react.
Pay attention to zones with larger bubbles, as they indicate higher liquidity and may have a stronger impact on price.
Combine with other analysis tools (e.g., trendlines, indicators) to confirm trade setups.
What Makes It Original?
This script stands out by integrating swing high/low detection with volume-based liquidity estimation and a heatmap visualization in a single tool. Unlike traditional support/resistance indicators that only plot static lines, this script dynamically aggregates liquidity zones into a heatmap, making it easier to see clusters of potential buying or selling pressure. The addition of volume-derived liquidity amounts in labeled bubbles provides a unique quantitative measure of each zone's strength, helping traders prioritize key levels. The color-coded buy/sell distinction further enhances its utility by visually separating zones based on their likely market impact.
Example Use Case
On a 1-minute chart of EUR/USD, you might set Swing Length to 10 to capture short-term pivots, Lookback Period (Hours) to 4 to focus on recent data, and Liquidity Window to 200 points (20 pips) to show only nearby zones. The heatmap will then display blue zones below the current price where buy-side liquidity may act as support, and red zones above where sell-side liquidity may act as resistance. A bubble showing "50K" at a blue zone indicates significant buy-side liquidity, suggesting a potential bounce if the price approaches that level.
Stop Hunts [MK]Liquidity rests above/below previous highs and lows because these are the areas where traders are most likely to leave their orders/stop losses. The market can tap into this liquidity source by going beyond the previous highs and lows, this liquidity can then be used to reverse the market in the opposite direction.
As traders we may want to know if price will continue beyond previous highs and lows, or reverse the market. If price looks to be reversing after tapping into liquidity, this can be a good area to enter a trade. The same area can be used as a take profit level also.
The indicator identifies previous high/lows in two ways:
1. previous high/lows using 'PIVOT POINTS'. Pivots are easy to spot and are obvious within a price trend. Also called 'higher highs", "lower lows" etc. The number of candles required to form the pivot point can be adjusted in the script settings.
see below example of pivot point and stop hunt:
www.tradingview.com
see how price reversed upwards after stop hunt on pivot point above.
2. previous candle high/lows. A previous candles high and low are also good areas of liquidity.
see below example of previous candle stop hunt:
see how price reversed upwards after stop hunt on previous candle low above.
Personally, I use the pivot point stop hunts on lower timeframes and previous candle stop hunts on higher timeframes. However users can adjust on which timeframes to show the indicator depending on their own trading style.
As ever all items within 'settings' are customizable.
The indicator is by no means a 'trading strategy' and users should be fully aware of the stop hunt concept and have conducted extensive back-testing before using with 'live' accounts.
The indicator may also serve as a 'teaching aid' to new students and as a reminder to more experienced traders.
Liquidity-Finder ICT / SMCIn the context of ICT and the Smart Money Concept, liquidity is likely viewed as a crucial factor for determining the strength and sustainability of a market move. Smart Money is often associated with large institutional traders who have the ability to influence liquidity.
Liquidity Sweep:
A liquidity sweep in this context might involve Smart Money intentionally executing trades across various price levels to assess market depth and liquidity. This information can be used to identify potential areas of interest for Smart Money to initiate or exit positions without causing significant price disruptions.
Stop Hunt:
Stop hunting is a concept that Smart Money traders may employ to deliberately trigger stop orders in the market. By doing so, they can create temporary price movements that allow them to accumulate or liquidate positions at more favorable prices before the market reacts.
Smart Money Concept (SMC):
The Smart Money Concept revolves around the idea that large institutional traders (Smart Money) have superior information and resources compared to retail traders. Understanding the behavior of Smart Money, as taught in ICT and SMC, involves analyzing market dynamics, order flow, and liquidity to make more informed trading decisions.
Liquidating:
Liquidating refers to the process of selling or closing out existing positions. In the context of Smart Money, the term could imply that institutional traders are actively managing their positions, either taking profits or cutting losses strategically based on their analysis of market conditions.
The Indicator
The Indicator show open liquidity as solid lines and liquidates liquidity as dashed lines
Is able to send alerts for liquidity level was liquidated, liquidity level was dipped or the next close is on the other side
Liquidity Hunt SwiftEdgeThe "Liquidity Hunt Dashboard By SwiftEdge" indicator is designed to assist traders in identifying potential liquidity zones by placing a dynamic target line based on swing points and weighted liquidity. It leverages technical analysis tools such as SMA (Simple Moving Average), pivot points, and volume to predict market movements and provides daily statistics on hits and success rate. The target line updates automatically when the price hits it, adapting to the market trend (up, down, or neutral). A dashboard displays the current price, target level, prediction, and trend, making it easy to make informed trading decisions.
Features:
Target Line: A yellow dashed line marks the next expected liquidity level (up to approximately 20 pips away on 1m).
Prediction: Displays "Up (Chasing Sell Liquidity)," "Down (Chasing Buy Liquidity)," or "Neutral" based on trend and liquidity.
Daily Statistics: Tracks hits and success rate, resetting daily.
Trend Indicator: Shows market direction ("Up," "Down," or "Neutral") in the dashboard.
Dynamic Updates: The line moves to a new target level when the price hits the current target.
Recommended Settings for 1-Minute Timeframe:
For Indices (e.g., S&P 500):
Lookback Period: 180 (3 hours to capture more stable swing points).
Max Distance (%): 0.015 (approximately 15 pips, suitable for indices).
Cooldown Period: 5 (stabilizes after hits).
Line Duration: 60 (displays the line for 1 hour).
For Crypto (e.g., BTC/USD):
Lookback Period: 120 (2 hours to capture short-term swing points).
Max Distance (%): 0.024 (approximately 20 pips, suitable for volatile crypto markets).
Cooldown Period: 5.
Line Duration: 60.
For Forex (e.g., EUR/USD):
Lookback Period: 180 (3 hours for greater data density in less volatile markets).
Max Distance (%): 0.012 (approximately 10-12 pips, suitable for forex).
Cooldown Period: 5.
Line Duration: 60.
Guide for Higher Timeframes:
This indicator can be adapted for higher timeframes (e.g., 5m, 15m, 1H) by adjusting the settings to account for larger price movements and slower market dynamics. Follow these steps:
Select Your Timeframe: Switch your chart to the desired timeframe (e.g., 5m, 15m, or 1H).
Adjust Lookback Period: Increase the "Lookback Period" to cover a longer historical period. For example:
5m: Set to 360 (equivalent to 6 hours).
15m: Set to 480 (equivalent to 8 hours).
1H: Set to 720 (equivalent to 12 hours).
Adjust Max Distance (%): Higher timeframes require larger targets to account for bigger price swings. For example:
5m: Increase to 0.05 (approximately 50 pips).
15m: Increase to 0.1 (approximately 100 pips).
1H: Increase to 0.2 (approximately 200 pips).
Adjust Cooldown Period: On higher timeframes, you may want a longer cooldown to avoid frequent updates. For example:
5m: Set to 10.
15m: Set to 15.
1H: Set to 20.
Adjust Line Duration: Extend the duration the line is displayed to match the timeframe. For example:
5m: Set to 120 (equivalent to 10 hours).
15m: Set to 240 (equivalent to 60 hours).
1H: Set to 480 (equivalent to 20 days).
Monitor the Dashboard: The dashboard will still show the target level, prediction, and trend, but the values will now reflect the larger timeframe's dynamics.
Usage Instructions:
Set your chart to a 1-minute timeframe (or follow the higher timeframe guide).
Adjust the settings based on the market and timeframe (see recommendations above).
Monitor the dashboard for the current price, target level, and prediction.
Use the yellow line as a potential entry or exit level, and adjust your strategy based on the trend and statistics.
Notes:
This indicator is intended solely for educational and analytical purposes and should not be considered financial advice.
Test the indicator on a demo account before using it with real funds.
The indicator complies with TradingView guidelines by not providing trading advice, automated trading signals, or guarantees of profit.
Liquidity Sweep DetectorThe Liquidity Sweep Detector represents a technical analysis tool specifically designed to identify market microstructure patterns typically associated with institutional trading activity. According to Harris (2003), institutional traders frequently employ tactics where they momentarily break through price levels to trigger stop orders before redirecting the market in the opposite direction. This phenomenon, commonly referred to as "stop hunting" or "liquidity sweeping," constitutes a significant aspect of institutional order flow analysis (Osler, 2003). The current implementation provides retail traders with a means to identify these patterns, potentially aligning their trading decisions with institutional movements rather than becoming victims of such strategies.
Osler's (2003) research documents how stop-loss orders tend to cluster around significant price levels, creating concentrations of liquidity. Taylor (2005) argues that sophisticated institutional participants systematically exploit these liquidity clusters by inducing price movements that trigger these orders, subsequently profiting from the ensuing price reaction. The algorithmic detection of such patterns involves several key processes. First, the indicator identifies swing points—local maxima and minima—through comparison with historical price data within a definable lookback period. These swing points correspond to what Bulkowski (2011) describes as "significant pivot points" that frequently serve as liquidity zones where stop orders accumulate.
The core detection algorithm utilizes a multi-stage process to identify potential sweeps. For high sweeps, it monitors when price exceeds a previous swing high by a specified threshold percentage, followed by a bearish candle that closes below the original swing high level. Conversely, for low sweeps, it detects when price drops below a previous swing low by the threshold percentage, followed by a bullish candle closing above the original swing low. As noted by Lo and MacKinlay (2011), these price patterns often emerge when large institutional players attempt to capture liquidity before initiating significant directional moves.
The indicator maintains historical arrays of detected sweep events with their corresponding timestamps, enabling temporal analysis of market behavior following such events. Visual elements include horizontal lines marking sweep levels, background color highlighting for sweep events, and an information table displaying active sweeps with their corresponding price levels and elapsed time since detection. This visualization approach allows traders to quickly identify potential institutional activity without requiring complex interpretation of raw price data.
Parameter customization includes adjustable lookback periods for swing point identification, sweep threshold percentages for signal sensitivity, and display duration settings. These parameters allow traders to adapt the indicator to various market conditions and timeframes, as markets demonstrate different liquidity characteristics across instruments and periods (Madhavan, 2000).
Empirical studies by Easley et al. (2012) suggest that retail traders who successfully identify and act upon institutional liquidity sweeps may achieve superior risk-adjusted returns compared to conventional technical analysis approaches. However, as cautioned by Chordia et al. (2008), such patterns should be considered within broader market context rather than in isolation, as their predictive value varies significantly with overall market volatility and liquidity conditions.
References:
Bulkowski, T. (2011). Encyclopedia of Chart Patterns (2nd ed.). John Wiley & Sons.
Chordia, T., Roll, R., & Subrahmanyam, A. (2008). Liquidity and market efficiency. Journal of Financial Economics, 87(2), 249-268.
Easley, D., López de Prado, M., & O'Hara, M. (2012). Flow Toxicity and Liquidity in a High-frequency World. The Review of Financial Studies, 25(5), 1457-1493.
Harris, L. (2003). Trading and Exchanges: Market Microstructure for Practitioners. Oxford University Press.
Lo, A. W., & MacKinlay, A. C. (2011). A Non-Random Walk Down Wall Street. Princeton University Press.
Madhavan, A. (2000). Market microstructure: A survey. Journal of Financial Markets, 3(3), 205-258.
Osler, C. L. (2003). Currency Orders and Exchange Rate Dynamics: An Explanation for the Predictive Success of Technical Analysis. Journal of Finance, 58(5), 1791-1820.
Taylor, M. P. (2005). Official Foreign Exchange Intervention as a Coordinating Signal in the Dollar-Yen Market. Pacific Economic Review, 10(1), 73-82.
Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Script Name: Liquidity Analysis with Volume, ATR, and Chaikin Oscillator
Description: This script analyzes market liquidity using three key indicators: Volume, ATR (Average True Range), and the Chaikin Oscillator. Based on the combination of these indicators, the script identifies three market conditions and visually highlights them with background colors:
High Liquidity Uptrend (Green Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is positive. This indicates strong liquidity with an upward trend in the market.
Alert: "High Liquidity Uptrend detected."
High Liquidity Downtrend (Red Background):
Occurs when volume is high, ATR is above the threshold, and the Chaikin Oscillator is negative. This signals strong liquidity but with a downward market trend.
Alert: "High Liquidity Downtrend detected."
Low Liquidity Stagnant Market (Yellow Background):
Occurs when volume is low, and ATR is below the threshold. This suggests a market with low liquidity and minimal price movement, indicating a range or stagnant phase.
Alert: "Low Liquidity Stagnant market detected."
Input Settings Panel:
Volume Threshold: This value sets the minimum volume required to determine high liquidity. If the volume is above this value, it is considered "high volume."
ATR Length: Defines the number of periods used to calculate ATR. The higher the value, the more smoothed the ATR calculation.
ATR Threshold: This sets the minimum ATR value required to signal a market with significant volatility. If ATR is above this value, the market is considered to have high volatility.
These settings allow you to fine-tune the script based on the characteristics of the asset being analyzed.
スクリプト名: 出来高、ATR、チャイキンオシレーターを用いた流動性分析
説明: このスクリプトは、出来高、ATR（平均真値幅）、およびチャイキンオシレーターという3つの主要な指標を用いて市場の流動性を分析します。これらの指標の組み合わせに基づいて、3つの市場状況を特定し、背景色で視覚的にハイライトします。
流動性が高い上昇相場（背景色：緑）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがプラスの場合に発生します。これは、強い流動性と市場の上昇トレンドを示します。
アラート: 「高流動性の上昇トレンドが検出されました。」
流動性が高い下降相場（背景色：赤）:
出来高が高く、ATRがしきい値を超え、チャイキンオシレーターがマイナスの場合に発生します。これは、強い流動性を伴う下降トレンドを示します。
アラート: 「高流動性の下降トレンドが検出されました。」
流動性が低い停滞相場（背景色：黄色）:
出来高が低く、ATRがしきい値以下の場合に発生します。これは流動性が低く、価格変動が少ない、レンジまたは停滞フェーズを示しています。
アラート: 「低流動性の停滞相場が検出されました。」
設定パネルの入力項目:
出来高のしきい値: 高流動性を判定するために必要な最小の出来高を設定します。この値を超える場合、「高出来高」と見なされます。
ATRの期間: ATRを計算する際に使用される期間数を定義します。値が大きいほど、ATRの計算が滑らかになります。
ATRのしきい値: しきい値を超えた場合に市場に大きなボラティリティがあると判断します。この値を上回るATRであれば、ボラティリティが高いと見なされます。
これらの設定により、分析対象の資産の特性に応じてスクリプトを調整できます。
Liquidity Hour by Ibramiho v2Liquidity Hour by Ibramiho (Version 2) - Identify High-Potential Reversal Zones
Understanding the pre-New York session hour is crucial for institutional traders. This period is often characterized by increased liquidity and price volatility as major financial players prepare for the upcoming trading day. The Liquidity Hour indicator capitalizes on this phenomenon, automatically pinpointing the candle (by default, in orange) immediately before the New York session opens.
Why Focus on This Candle?
Liquidity Magnet: Institutional traders often use this hour to establish or adjust positions, creating pockets of liquidity.
Breakout and Retracement Potential: The indicator helps you spot potential areas where price might retrace after a breakout, offering high-probability trading opportunities.
Visual Clarity: The highlighted candle acts as a visual anchor, making it easy to identify these key levels on your chart.
How It Works
1. Automatic Detection: The indicator intelligently detects the pre-New York session candle, regardless of your chart's timeframe.
2. Colour Coding: The candle is highlighted in orange (customizable), instantly drawing your attention.
3. Trade Insights: Watch for price breakouts above or below the highlighted candle. When price retraces back to this level, it signals a potential entry or exit point.
Key Features
Customizable Colour: Change the highlight colour to suit your chart preferences.
Working Timeframes: Works on timeframes, from minutes up to 2 hours timeframe.
Versatile Trading: Suitable for both intraday and swing trading strategies.
Unlock the Power of Institutional Liquidity
Don't miss out on the opportunities that arise in the hour before the New York session. With the Liquidity Hour indicator, you'll gain a valuable edge by identifying key levels where price action is most likely to reverse.
