Liquidity Sweep Filter [AlgoAlpha]Unlock a deeper understanding of market liquidity with the Liquidity Sweep Filter by AlgoAlpha. This indicator identifies liquidity sweeps, highlighting key price levels where large liquidations have occurred. By visualizing major and minor liquidation events, traders can better anticipate potential reversals and market structure shifts, making this an essential tool for those trading in volatile conditions.
Key Features :
🔍 Liquidity Sweep Detection – Identifies and highlights areas where liquidity has been swept, distinguishing between major and minor liquidation events.
📊 Volume Profile Integration – Displays a volume profile overlay, helping traders spot high-activity price zones where the market is likely to react.
📈 Trend-Based Filtering – Utilizes an adaptive trend detection algorithm to refine liquidity sweeps based on market direction, reducing noise.
🎨 Customizable Visualization – Modify colors, thresholds, and display settings to tailor the indicator to your trading style.
🔔 Alerts for Liquidity Sweeps & Trend Changes – Stay ahead of the market by receiving alerts when significant liquidity events or trend shifts occur.
How to Use:
🛠 Add the Indicator : Add the Liquidity Sweep Filter to your chart and configure the settings based on your preferred sensitivity. Adjust the major sweep threshold to filter out smaller moves.
📊 Analyze Liquidity Zones and trend direction : Look for liquidation levels where large buy or sell stops have been triggered. Major sweeps indicate strong reactions, while minor sweeps show gradual liquidity absorption. You can also see which levels are high in liquidity by the transparency of the levels.
🔔 Set-Up Alerts : Use the in-built alerts so you don't miss a trading opportunity
How It Works :
The Liquidity Sweep Filter detects liquidity events by tracking swing highs and lows (defined as a pivot where neighboring candles are lower/higher than it) where traders are likely to have placed stop-loss orders. It evaluates volume and price action, marking areas where liquidity has been absorbed by the market. Additionally, the integrated trend filter ensures that only relevant liquidity sweeps are highlighted based on market direction, lows in an uptrend and highs in a downtrend. The trend filter works by calculating a basis, and defining trend shifts when the closing price crosses over the upper or lower bands.The included volume profile further enhances analysis by displaying key trading zones where price may react.
Liquiditygrab
Turtle Soup Model [PhenLabs]📊 Turtle Soup Model
Version: PineScript™ v6
Description
The Turtle Soup Model is an innovative technical analysis tool that combines market structure analysis with inter-market comparison and gap detection. Unlike traditional structure indicators, it validates market movements against a comparison symbol (default: ES1!) to identify high-probability trading opportunities. The indicator features a unique “soup pattern” detection system, comprehensive gap analysis, and real-time structure breaks visualization.
Innovation Points:
First indicator to combine structure analysis with gap detection and inter-market validation
Advanced memory management system for efficient long-term analysis
Sophisticated pattern recognition with multi-market confirmation
Real-time structure break detection with comparative validation
🔧 Core Components
Structure Analysis: Advanced pivot detection with inter-market validation
Gap Detection: Sophisticated gap identification and classification system
Inversion Patterns: “Soup pattern” recognition for reversal opportunities
Visual System: Dynamic rendering of structure levels and gaps
Alert Framework: Multi-condition notification system
🚨 Key Features 🚨
The indicator provides comprehensive analysis through:
Structure Levels: Validated support and resistance zones
Gap Patterns: Identification of significant market gaps
Inversion Signals: Detection of potential reversal points
Real-time Comparison: Continuous inter-market analysis
Visual Alerts: Dynamic structure break notifications
📈 Visualization
Structure Lines: Color-coded for highs and lows
Gap Boxes: Visual representation of gap zones
Inversion Patterns: Clear marking of potential reversal points
Comparison Overlay: Inter-market divergence visualization
Alert Indicators: Visual signals for structure breaks
💡Example
📌 Usage Guidelines
The indicator offers multiple customization options:
Structure Settings:
Pivot Period: Adjustable for different market conditions
Comparison Symbol: Customizable reference market
Visual Style: Configurable colors and line widths
Gap Analysis:
Signal Mode: Choice between close and wick-based signals
Box Rendering: Automatic gap zone visualization
Middle Line: Reference point for gap measurements
✅ Best Practices:
🚨Use comparison symbol from related market🚨
Monitor both structure breaks and gap inversions
Combine signals for higher probability trades
Pay attention to inter-market divergences
⚠️ Limitations
Requires comparison symbol data
Performance depends on market correlation
Best suited for liquid markets
What Makes This Unique
Inter-market Validation: Uses comparison symbol for signal confirmation
Gap Integration: Combines structure and gap analysis
Soup Pattern Detection: Identifies specific reversal patterns
Dynamic Structure Management: Automatically updates and removes invalid levels
Memory-Efficient Design: Optimized for long-term chart analysis
🔧 How It Works
The indicator processes market data through three main components:
1. Structure Analysis:
Detects pivot points with comparison validation
Tracks structure levels with array management
Identifies and processes structure breaks
2. Gap Analysis:
Identifies significant market gaps
Processes gap inversions
Manages gap zones visualization
3. Pattern Recognition:
Detects “soup” patterns
Validates with comparison market
Generates structure break signals
💡 Note: The indicator performs best when used with correlated comparison symbols and appropriate timeframe selection. Its unique inter-market validation system provides additional confirmation for traditional structure-based trading strategies.
One Trading Setup for Life ICT [TradingFinder] Sweep Session FVG🔵 Introduction
ICT One Trading Setup for Life is a trading strategy based on liquidity and market structure shifts, utilizing the PM Session Sweep to determine price direction. In this strategy, the market first forms a price range during the PM Session (from 13:30 to 16:00 EST), which includes the highest high (PM Session High) and lowest low (PM Session Low).
In the next session, the price first touches one of these levels to trigger a Liquidity Hunt before confirming its trend by breaking the Change in State of Delivery (CISD) Level. After this confirmation, the price retraces toward a Fair Value Gap (FVG) or Order Block (OB), which serve as the best entry points in alignment with liquidity.
In financial markets, liquidity is the primary driver of price movement, and major market participants such as institutional investors and banks are constantly seeking liquidity at key levels. This process, known as Liquidity Hunt or Liquidity Sweep, occurs when the price reaches an area with a high concentration of orders, absorbs liquidity, and then reverses direction.
In this setup, the PM Session range acts as a trading framework, where its highs and lows function as key liquidity zones that influence the next session’s price movement. After the New York market opens at 9:30 EST, the price initially breaks one of these levels to capture liquidity.
However, for a trend shift to be confirmed, the CISD Level must be broken.
Once the CISD Level is breached, the price retraces toward an FVG or OB, which serve as optimal trade entry points.
Bullish Setup :
Bearish Setup :
🔵 How to Use
In this strategy, the PM Session range is first identified, which includes the highest high (PM Session High) and lowest low (PM Session Low) between 13:30 and 16:00 EST. In the following session, the price touches one of these levels for a Liquidity Hunt, followed by a break of the Change in State of Delivery (CISD) Level. The price then retraces toward a Fair Value Gap (FVG) or Order Block (OB), creating a trading opportunity.
This process can occur in two scenarios : bearish and bullish setups.
🟣 Bullish Setup
In a bullish scenario, the PM Session High and PM Session Low are identified. In the following session, the price first breaks the PM Session Low, absorbing liquidity. This process results in a Fake Breakout to the downside, misleading retail traders into taking short positions.
After the Liquidity Hunt, the CISD Level is broken, confirming a trend reversal. The price then retraces toward an FVG or OB, offering an optimal long entry opportunity.
The initial take-profit target is the PM Session High, but if higher timeframe liquidity levels exist, extended targets can be set.
The stop-loss should be placed below the Fake Breakout low or the first candle of the FVG.
🟣 Bearish Setup
In a bearish scenario, the market first defines its PM Session High and PM Session Low. In the next session, the price initially breaks the PM Session High, triggering a Liquidity Hunt. This movement often causes a Fake Breakout, misleading retail traders into taking incorrect positions.
After absorbing liquidity, the CISD Level breaks, indicating a shift in market structure. The price then retraces toward an FVG or OB, offering the best short entry opportunity.
The initial take-profit target is the PM Session Low, but if additional liquidity exists on higher timeframes, lower targets can be considered.
The stop-loss should be placed above the Fake Breakout high or the first candle of the FVG.
🔵 Setting
CISD Bar Back Check : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
Order Block Validity : The number of candles that determine the validity of an Order Block.
FVG Validity : The duration for which a Fair Value Gap remains valid.
CISD Level Validity : The duration for which a CISD Level remains valid after being broken.
New York PM Session : Defines the PM Session range from 13:30 to 16:00 EST.
New York AM Session : Defines the AM Session range from 9:30 to 16:00 EST.
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
Demand Order Block : Enables or disables bullish Order Block.
Supply Order Block : Enables or disables bearish Order Blocks.
Demand FVG : Enables or disables bullish FVG.
Supply FVG : Enables or disables bearish FVGs.
Show All CISD : Enables or disables the display of all CISD Levels.
Show High CISD : Enables or disables high CISD levels.
Show Low CISD : Enables or disables low CISD levels.
🔵 Conclusion
The ICT One Trading Setup for Life is a liquidity-based strategy that leverages market structure shifts and precise entry points to identify high-probability trade opportunities. By focusing on PM Session High and PM Session Low, this setup first captures liquidity at these levels and then confirms trend shifts with a break of the Change in State of Delivery (CISD) Level.
Entering a trade after a retracement to an FVG or OB allows traders to position themselves at optimal liquidity levels, ensuring high reward-to-risk trades. When used in conjunction with higher timeframe bias, order flow, and liquidity analysis, this strategy can become one of the most effective trading methods within the ICT Concept framework.
Successful execution of this setup requires risk management, patience, and a deep understanding of liquidity dynamics. Traders can enhance their confidence in this strategy by conducting extensive backtesting and analyzing past market data to optimize their approach for different assets.
Draw on Liquidity [PhenLabs]📊 Draw on Liquidity (DOL) Indicator
Version: PineScript™ v6
Description
The Draw on Liquidity (DOL) indicator is an advanced technical analysis tool designed to identify and visualize significant liquidity zones in the market. It combines volume analysis, pivot point detection, and real-time proximity alerts to help traders identify potential support and resistance levels where significant trading activity occurs. The indicator features dual display modes, adaptive volume thresholds, and a comprehensive real-time dashboard.
🔧 Components
• Liquidity Detection: Advanced pivot point analysis with volume validation
• Volume Analysis: Adaptive volume threshold system
• Display Modes: Historical and Current visualization options
• Proximity Detection: Real-time price-to-level distance monitoring
• Visual Dashboard: Dynamic status display with alert system
🚨 Important Dashboard Features 🚨
The dashboard provides real-time information about:
• High Draw Zones: Resistance levels with significant liquidity
• Low Draw Zones: Support levels with high trading activity
• Current Price: Real-time price monitoring
• Active Alerts: Proximity warnings when price approaches liquidity zones
📈 Visualization
• Historical Mode: Displays all past and present liquidity zones
• Current Mode: Shows only active, unhit liquidity levels
• Color-coded lines: Blue for high liquidity, Red for low liquidity
• Dynamic line extension: Updates with price movement
• Alert indicators: Visual signals when price approaches zones
Historical Visualization
Current Visualization
📌 Usage Guidelines
The indicator is highly customizable with several key parameters:
Pivot Settings:
• Shorter lengths (3-7): More frequent zones, suitable for scalping
• Longer lengths (7-15): Major zones, better for swing trading
Volume Analysis:
• Lower multiplier (1.5-2.0): More zones, higher sensitivity
• Higher multiplier (2.0-3.0): Major zones only, reduced noise
✅ Best Practices:
• Start with default settings and adjust based on timeframe
• Use Historical mode for analysis, Current mode for active trading
• Monitor dashboard alerts for potential trade setups
• Combine with trend analysis for better entry/exit points
⚠️ Limitations
• Requires sufficient volume data for accurate analysis
• Performance varies with market volatility
• Historical mode may become visually cluttered on longer timeframes
• Best performance during regular market hours
What Makes This Unique
• Dual Display System: Choose between historical analysis and current trading modes
• Volume-Validated Zones: Only marks levels with significant trading activity
• Real-time Proximity Alerts: Dynamic warnings when approaching liquidity zones
• Adaptive Threshold System: Automatically adjusts to market conditions
• Comprehensive Dashboard: All-in-one view of current market status
🔧 How It Works
The indicator processes market data through three main components:
1. Liquidity Detection (40% weight):
• Identifies pivot points using customizable lookback periods
• Validates levels with volume analysis
• Marks significant zones based on combined criteria
2. Volume Analysis (40% weight):
• Calculates dynamic volume thresholds
• Compares current volume to moving average
• Filters out low-volume noise
3. Proximity Analysis (20% weight):
• Monitors price distance to active zones
• Triggers alerts based on customizable thresholds
• Updates dashboard status in real-time
💡 Note: For optimal results, combine with price action analysis and consider using multiple timeframes for confirmation. The indicator performs best in markets with consistent volume and clear trend structure.
Thin Liquidity Zones [PhenLabs]Thin Liquidity Zones with Volume Delta
Our advanced volume analysis tool identifies and visualizes significant liquidity zones using real-time volume delta analysis. This indicator helps traders pinpoint and monitor critical price levels where substantial trading activity occurs, providing precise volume flow measurement through lower timeframe analysis.
The tool works by leveraging the fact that hedge funds, institutions, and other large market participants strategically fill their orders in areas of thin liquidity to minimize slippage and market impact. By detecting these zones, traders gain valuable insights into potential areas of accumulation, distribution, and liquidity traps, allowing for more informed trading decisions.
🔍 Key Features
Real-time volume delta calculation using lower timeframe data
Dynamic zone creation based on volume spikes
Automatic timeframe optimization
Size-filtered zones to avoid noise
Custom delta timeframe scanning
Flexible analysis period selection
📊 Visual Demonstration
💡 How It Works
The indicator continuously scans for high-volume areas where trading activity exceeds the specified threshold (default 6.0x average volume). When detected, it creates zones that display the net volume delta, showing whether buying or selling pressure dominated that price level.
Key zone characteristics:
Size filtering prevents noise from large price swings
Volume delta shows actual buying/selling pressure
Zones automatically expire based on lookback period
Real-time updates as new volume data arrives
⚙️ Settings
Time Settings
Analysis Timeframe: 15M to 1W options
Custom Period: User-defined bar count
Delta Timeframe: Automatic or manual selection
Volume Analysis
Volume Threshold: Minimum spike multiple
Volume MA Length: Averaging period
Maximum Zone Size: Size filter percentage
Display Options
Zone Color: Customizable with transparency
Delta Display: On/Off toggle
Text Position: Left/Center/Right alignment
📌 Tips for Best Results
Adjust volume threshold based on instrument volatility
Monitor zone clusters for potential support/resistance
Consider reducing max zone size in volatile markets
Use in conjunction with price action and other indicators
⚠️ Important Notes
Requires volume data from your data provider
Lower timeframe scanning may impact performance
Maximum 500 zones maintained for optimization
Zone creation is filtered by both volume and size
🔧 Volume Delta Calculation
The indicator uses TradingView’s advanced volume delta calculation, which:
Scans lower timeframe data for precision
Measures actual buying vs selling pressure
Updates in real-time with new data
Provides clear positive/negative flow indication
This tool is ideal for traders focusing on volume analysis and order flow. It helps identify key levels where significant trading activity has occurred and provides insight into the nature of that activity through volume delta analysis.
Note: Performance may vary based on your chart’s timeframe. Adjust settings according to your trading style and the instrument’s characteristics. Past performance is not indicative of future results, DYOR.
Turtle Soup ICT Strategy [TradingFinder] FVG + CHoCH/CSD🔵 Introduction
The ICT Turtle Soup trading setup, designed in the ICT style, operates by hunting or sweeping liquidity zones to exploit false breakouts and failed breakouts in key liquidity Zones, such as recent highs, lows, or major support and resistance levels.
This setup identifies moments when the price breaches these liquidity zones, triggering stop orders placed (Stop Hunt) by other traders, and then quickly reverses direction. These movements are often associated with liquidity sweeps that create temporary market imbalances.
The reversal is typically confirmed by one of three structural shifts : a Market Structure Shift (MSS), a Change of Character (CHoCH), or a break of the Change in State of Delivery (CISD). Each of these structural shifts provides a reliable signal to interpret market intent and align trading decisions with the expected price movement. After the structural shift, the price frequently pullback to a Fair Value Gap (FVG), offering a precise entry point for trades.
By integrating key concepts such as liquidity, liquidity sweeps, stop order activation, structural shifts (MSS, CHoCH, CISD), and price imbalances, the ICT Turtle Soup setup enables traders to identify reversal points and key entry zones with high accuracy.
This strategy is highly versatile, making it applicable across markets such as forex, stocks, cryptocurrencies, and futures. It offers traders a robust and systematic approach to understanding price movements and optimizing their trading strategies
🟣 Bullish and Bearish Setups
Bullish Setup : The price first sweeps below a Sell-Side Liquidity (SSL) zone, then reverses upward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a buying opportunity.
Bearish Setup : The price first sweeps above a Buy-Side Liquidity (BSL) zone, then reverses downward after forming an MSS or CHoCH, and finally pulls back to an FVG, creating a selling opportunity.
🔵 How to Use
To effectively utilize the ICT Turtle Soup trading setup, begin by identifying key liquidity zones, such as recent highs, lows, or support and resistance levels, in higher timeframes.
Then, monitor lower timeframes for a Liquidity Sweep and confirmation of a Market Structure Shift (MSS) or Change of Character (CHoCH).
After the structural shift, the price typically pulls back to an FVG, offering an optimal trade entry point. Below, the bullish and bearish setups are explained in detail.
🟣 Bullish Turtle Soup Setup
Identify Sell-Side Liquidity (SSL) : In a higher timeframe (e.g., 1-hour or 4-hour), identify recent price lows or support levels that serve as SSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe (e.g., 15-minute or 30-minute), the price must move below one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Higher Low (HL) and Higher High (HH).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a buy trade in this zone, set a stop-loss slightly below the recent low, and target Buy-Side Liquidity (BSL) in the higher timeframe for profit.
🟣 Bearish Turtle Soup Setup
Identify Buy-Side Liquidity (BSL) : In a higher timeframe, identify recent price highs or resistance levels that serve as BSL zones, typically the location of stop-loss orders for traders.
Observe a Liquidity Sweep : On a lower timeframe, the price must move above one of these liquidity zones and then reverse. This movement indicates a liquidity sweep.
Confirm Market Structure Shift : After the price reversal, look for a structural shift (MSS or CHoCH) indicated by the formation of a Lower High (LH) and Lower Low (LL).
Enter the Trade : Once the structural shift is confirmed, the price typically pulls back to an FVG. Enter a sell trade in this zone, set a stop-loss slightly above the recent high, and target Sell-Side Liquidity (SSL) in the higher timeframe for profit.
🔵 Settings
Higher TimeFrame Levels : This setting allows you to specify the higher timeframe (e.g., 1-hour, 4-hour, or daily) for identifying key liquidity zones.
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filter s:
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
In the indicator settings, you can customize the visibility of various elements, including MSS, FVG, and HTF Levels. Additionally, the color of each element can be adjusted to match your preferences. This feature allows traders to tailor the chart display to their specific needs, enhancing focus on the key data relevant to their strategy.
🔵 Conclusion
The ICT Turtle Soup trading setup is a powerful tool in the ICT style, enabling traders to exploit false breakouts in key liquidity zones. By combining concepts of liquidity, liquidity sweeps, market structure shifts (MSS and CHoCH), and pullbacks to FVG, this setup helps traders identify precise reversal points and execute trades with reduced risk and increased accuracy.
With applications across various markets, including forex, stocks, crypto, and futures, and its customizable indicator settings, the ICT Turtle Soup setup is ideal for both beginner and advanced traders. By accurately identifying liquidity zones in higher timeframes and confirming structure shifts in lower timeframes, this setup provides a reliable strategy for navigating volatile market conditions.
Ultimately, success with this setup requires consistent practice, precise market analysis, and proper risk management, empowering traders to make smarter decisions and achieve their trading goals.
FU Candle Indicator V3.2What the FU Candle Indicator does:
First we need to understand what FU candles are. There's bullish and bearish FU candles.
Bullish FU candles are candles that have a long wick that takes out the previous candles low, then turns around and closes above the high of the previous candle.
Bearish FU candles are candles that have a long wick that takes out the previous candles high, then turns around and closes below the low of the previous candle.
Then there's so called attempted FU candles (ATT FU)
The difference between normal FU candles and ATT FU candles is, that the ATT FU candle doesn't close above/below the high/low of the previous candle but only above the previous candle's body close.
Bullish ATT FU Candle:
Bearish ATT FU Candle:
Detection of Bullish FU Candles:
Bullish FU Candles are detected by measuring the distance between the low of the previous candle and the low of the current candle.
Then the distance between the previous candles high and the current candles close price are measured.
If current candle low < previous candle low and current candle close > previous candle high = Bullish FU Candle.
Detection of Bullish ATT FU Candles:
Bullish ATT FU Candles are detected by measuring the distance between the low of the previous candle and the low of the current candle.
Then the distance between the previous candles close or open price and the current candles close price are measured. If the previous candle closed bearish, the open price is used for comparison, if the previous candle closed bullish, the close price is used for comparison.
If current candle low < previous candle low and current candle close > previous candle open or close = Bullish ATT FU Candle.
Detection of Bearish FU Candles:
Bearish FU Candles are detected by measuring the distance between the high of the previous candle and the high of the current candle.
Then the distance between the previous candles low, AND the current candles close price are measured.
If current candle high > previous candle high, AND current candle close < previous candle low = Bearish FU Candle.
Detection of Bearish ATT FU Candles:
Bearish ATT FU Candles are detected by measuring the distance between the high of the previous candle and the high of the current candle.
Then the distance between the previous candles close or open price and the current candles close price are measured. If the previous candle closed bearish, the open price is used for comparison, if the previous candle closed bullish, the close price is used for comparison.
If current candle high > previous candle high and current candle close < previous candle open or close = Bearish ATT FU Candle.
What makes this script unique?
It shows and liquidity grab and a break of structure on a lower timeframe in one candle.
It allows to adjust the settings for the asset and timeframe you're using
The built in filters (Fractal Filter and EMA Filter) are both optional but allow to filter out certain candles and most importantly it leaves room for experimentation and optimisation to your trading style.
Input Settings and how to use them:
Bullish FU Candle Color --> This setting is to set the color for bullish FU candles.
Bearish FU Candle Color --> This setting is to set the color for bearish FU candles.
Chart --> This setting enables you to display FU's on different timeframes instead of only the current time. It's set to current timeframe by default.
Liq. Grab in Points --> This is the strength of the liquidity grab. By how many points has the current candle taken out the low/ high of the previous candle. It's set to 20 by default but it has to be adjusted to the timeframe and asset you're using.
Engulfing in Points --> This the strength of the engulfing of the previous candle. It measures the distance of the current close price to the open, close, high or low of the previous candle. It depends if the current candle is bullish or bearish and if the previous candle was bullish or bearish and if ATT FUs are enabled but this setting applies to all methods. It's set to 20 by default but you have to adjust it to the asset and timeframe you're using.
Min. Size in Points --> This setting is to filter out tiny candles. It measures the overall size of the FU candle from low to high. It's set to 20 by default but you have to adjust it to the asset and timeframe you are using.
Min. Body Size in Points --> This setting is to filter out FU candles that have a tiny body. It measures the size of the body from open to close. It's set to 20 by default but you have to adjust it to the asset and timeframe you are using.
Max. Body Size in Points --> This setting is to filter out FU candles that have a huge body. It measures the size of the body from open to close. It's set to 10000 by default but you have to adjust it to the asset and timeframe you are using.
Show ATT FU Candles --> ATT FU Candles are FU's where the body only engulfs the previous candles body but not the wick. This type of FU candles is just as valid as the strong FU's where the Body and the wick of the previous Candle is engulfed. The setting is enabled by default.
Rejection Filter --> This setting is used filter out FU candles where the opposite side rejection is stronger than the body direction of the FU. This filters out a lot of traps. It's disabled by default.
Fractal Filter --> FU's are only valid if they broke a fractal of the past x candles. This filters out some of the FU candles that are inside a range and therefore invalid. This is an optional filter and disabled by default.
EMA Filter --> FU's are only if they are above/ below the EMA. This is to filter out most of the FU candles that are inside ranges. The EMA period can be set too. This is an optional filter and enabled and EMA length set to 7 by default. You can enable it and/ or change the length of the EMA to fit your trading style.
Show Entry Lines --> The entry line setting has been changed in terms of styling. The upper and lower line has been removed. Now only the 50% retracement line of the candle body is displayed and the line type, color, strength and length can be set to keep charts as clean as possible.
Alert Timeframes --> You can select the timeframes for which you want to receive an alert if you set and alert for the FU Candle indicator. If you set an alert for the FU Candle Indicator it will send an alert for every FU candle on every selected timeframe.
TF1-TF8 --> This setting is to enable or disable alerts for timeframe 1 - timeframe 8. By default all alerts are disabled, I recommend only enabling the ones that you actually use.
Recommended use:
A bullish FU candle doesn't necessarily mean it's a long and vice versa a bearish FU candle doesn't necessarily mean it's a short. In fact, most FU candles are traps. Often times you'll see a bullish FU candle starting a bearish reversal.
Whenever you see an FU Candle check the following:
Did the FU candle take relevant liquidity?
Is the FU Candle in line with the overall bias or does it go against the bias?
Where did the FU react? Example: A bearish FU candle that reacts in a bullish FVG is a perfect long entry and vice versa.
A bullish FU candle that takes out a relevant swing high can often be a fake-out and price can immediately reverse as the next candle opens.
Timing is also very important. Usually the valid FU candles happen after a strong move to one direction during high volume times and right before or right after a new candle opens on a higher timeframe.
Examples of valid setups:
Nr. 1) Mitigation Setup
Overall bullish on the higher time frame, liquidity grab to the downside, shift in momentum, strong move to the upside left a FVG. later price comes back into the FVG and forms a FU candle --> perfect long trade targeting the opposite side of the range.
Entry either at close of the FU or at the 50% retracement.
Nr. 2) Trap Setup
Clear bullish trend respecting the trend line, bearish FU candle forms but it didn't take any relevant liquidity to the upside. Only internal range liquidity. Perfect long entry using a buy limit below the lower wick of the FU candle with the SL below the nearest low.
Nr. 3) Liquidity Grab Setup
Bearish trend, price comes up aggressively and takes out a high and forms an FU Candle. Market entry short at close of the FU candle or at the 50% retracement of the FU candle or by putting a limit order right above the wick of the candle that follows the FU candle, targeting the opposite side of the range.
Nr. 4) Fake Breakout Setup
Price takes out a significant HTF low, then makes at least 2 BOS on the LTF and forms an Order Block or leaves an FVG. Price forms a bearish U that fails to close below the FVG or Orderblock.
Market entry long at the close of the bearish FU targeting the opposite side of the range. Vice versa for shorts. In simple terms: Bullish FUs at the top of the range and bearish FUs at the bottom of the range are usually always traps.
Sometimes price takes out the high/low of a trap FU before reversing aggressively so you can also have a limit order below the low of the bearish FU or above the high of a bullish FU in this case. But you risk missing the trade.
Entry Methods:
Entry Type 1) Market Entry at the close of the FU candle. --> Never miss a trade, not the best RRR.
Entry Type 2 Limit Entry at the 50% retracement of the body of the FU candle. --> Miss some of the trades but better RRR.
Entry Type 3 Limit order below the wick of the candle that follows the FU candle. --> Miss quite a lot of trades but by far best RRR.
Why this is a closed source script:
The source code of this script is not open because I have spent several years of my life developing it and I use it in all my trading bots.
Also I'm open for feedback and will modify/ update the script for free if I get input that can make it better.
For questions, please reach out via DM or check out my youtube channel. I have several videos explaining in detail how I use these candles, which are valid and which aren't.
ICT Judas Swing | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Judas Swing Indicator! This indicator is built around the ICT's "Judas Swing" strategy. The strategy looks for a liquidity grab around NY 9:30 session and a Fair Value Gap for entry confirmation. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Judas Swing :
Implementation of ICT's Judas Swing Strategy
2 Different TP / SL Methods
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The strategy begins by identifying the New York session from 9:30 to 9:45 and marking recent liquidity zones. These liquidity zones are determined by locating high and low pivot points: buyside liquidity zones are identified using high pivots that haven't been invalidated, while sellside liquidity zones are found using low pivots. A break of either buyside or sellside liquidity must occur during the 9:30-9:45 session, which is interpreted as a liquidity grab by smart money. The strategy assumes that after this liquidity grab, the price will reverse and move in the opposite direction. For entry confirmation, a fair value gap (FVG) in the opposite direction of the liquidity grab is required. A buyside liquidity grab calls for a bearish FVG, while a sellside grab requires a bullish FVG. Based on the type of FVG—bullish for buys and bearish for sells—the indicator will then generate a Buy or Sell signal.
After the Buy or Sell signal, the indicator immediately draws the take-profit (TP) and stop-loss (SL) targets. The indicator has three different TP & SL modes, explained in the "Settings" section of this write-up.
You can set up alerts for entry and TP & SL signals, and also check the current performance of the indicator and adjust the settings accordingly to the current ticker using the backtesting dashboard.
🚩 UNIQUENESS
This indicator is an all-in-one suit for the ICT's Judas Swing concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. Three different TP / SL modes are available to suit your needs. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️ SETTINGS
1. General Configuration
Swing Length -> The swing length for pivot detection. Higher settings will result in
FVG Detection Sensitivity -> You may select between Low, Normal, High or Extreme FVG detection sensitivity. This will essentially determine the size of the spotted FVGs, with lower sensitivies resulting in spotting bigger FVGs, and higher sensitivies resulting in spotting all sizes of FVGs.
2. TP / SL
TP / SL Method ->
a) Dynamic: The TP / SL zones will be auto-determined by the algorithm based on the Average True Range (ATR) of the current ticker.
b) Fixed : You can adjust the exact TP / SL ratios from the settings below.
Dynamic Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
Liquidity Zones [BigBeluga]This indicator is designed to detect liquidity zones on the chart by identifying significant pivot highs and lows filtered by volume strength. It plots these zones as boxes, highlighting areas where liquidity is likely to accumulate. The indicator also draws lines extending from these boxes, marking the levels where price may "grab" this liquidity. The size of these boxes can be dynamic, adjusting based on the volume size, offering a visual representation of market areas where traders might expect significant price reactions.
🔵 IDEA
The idea behind the Liquidity Zones indicator is to help traders identify key market levels where liquidity accumulates. Liquidity zones are areas where there are enough buy or sell orders that can potentially lead to significant price movements. By focusing on pivot points filtered by volume strength, the indicator aims to provide a clearer picture of where large players may have positioned their orders. This insight allows traders to anticipate potential market reactions, such as reversals or breakouts, when the price reaches these zones. The option for dynamic box height further refines the visualization, showing the extent of liquidity based on the volume's intensity.
🔵 KEY FEATURES & USAGE
◉ Volume-Filtered Pivot Highs and Lows:
The indicator scans for pivot highs and lows on the chart, filtering these points based on the volume strength setting (Low, Mid, High). This ensures that only the most significant liquidity zones, backed by notable trading volume, are highlighted. Traders can adjust the filter to focus on different levels of market activity, from small fluctuations to major volume spikes.
Low:
Mid:
High:
◉ Dynamic and Static Liquidity Zones:
Liquidity zones are plotted as boxes around pivot points, with an optional dynamic mode that adjusts the box height based on the normalized volume. This dynamic adjustment reflects the liquidity carried by the volume, making it easier to gauge the significance of each zone. In static mode, the boxes have a fixed height, providing a consistent visual reference for the zones.
◉ Color Intensity Based on Volume:
The indicator adjusts the color intensity of the liquidity zones based on the volume strength. Higher volume zones will be displayed with more intense colors, giving a visual cue to the strength of the liquidity present in that area. This makes it easier to differentiate between zones of varying importance at a glance, allowing traders to quickly identify where the market has the highest concentration of liquidity.
◉ Liquidity Grab Detection and Red Circles:
When the price interacts with a liquidity zone, the indicator detects whether liquidity has been "grabbed" at these levels. If the price moves into a zone and crosses a level, the box label changes to "Liquidity Grabbed," and the line marking the level becomes dashed.
Reversal Points:
The beginning of a trend:
Additionally marks these "liquidity grabs" with red circles, indicating both recent and past liquidity grabs. This feature helps traders identify areas where liquidity has been absorbed by the market, which may signal potential reversals or shifts in market direction.
◉ Dashboard Display:
A dashboard in the upper right corner of the chart provides an overview of the indicator's settings and status. It shows the number of plotted zones, as set in the input settings, and whether the dynamic mode is active. This quick reference helps traders stay informed about the indicator's configuration without needing to open the settings panel.
🔵 CUSTOMIZATION
Length & Zones Amount: Set the length for pivot detection and the maximum number of zones to be displayed on the chart. This allows you to control how many liquidity zones you want to monitor at any given time.
Volume Strength Filter: Adjust the filter to Low, Mid, or High to control the strength of volume required for a pivot to be considered a significant liquidity zone. Higher settings focus on zones with greater volume, indicating stronger liquidity.
Dynamic Distance Mode: Enable or disable the dynamic mode, which adjusts the box height based on the volume size. When dynamic mode is off, the boxes have a fixed height based on the ATR, offering a consistent visualization regardless of the volume size.
The Liquidity Zones indicator is a versatile tool for identifying areas of significant market activity, offering a clear view of where liquidity is likely to reside. By filtering these zones through volume strength and providing dynamic or static visualization options, it equips traders with insights into potential market reaction points, enhancing their ability to anticipate and respond to market movements. The varying color intensity based on volume further aids in quickly recognizing the most critical liquidity zones on the chart.
Liquidity strategy tester [Influxum]This tool is based on the concept of liquidity. It includes 10 methods for identifying liquidity in the market. Although this tool is presented as a strategy, we see it more as a data-gathering instrument.
Warning: This indicator/strategy is not intended to generate profitable strategies. It is designed to identify potential market advantages and help with identifying effective entry points to capitalize on those advantages.
Once again, we have advanced the methods of effectively searching for liquidity in the market. With strategies, defined by various entry methods and risk management, you can find your edge in the market. This tool is backed by thorough testing and development, and we plan to continue improving it.
In its current form, it can also be used to test well-known ICT or Smart Money concepts. Using various methods, you can define market structure and identify areas where liquidity is located.
Fair Value Gaps - one of the entry signal options is fair value gaps, where an imbalance between buyers and sellers in the market can be expected.
Time and Price Theory - you can test this by setting liquidity from a specific session and testing entries as that liquidity is grabbed
Judas Swing - can be tested as a market reversal after a breakout during the first hours of trading.
Power of Three - accumulation can be observed as the market moving within a certain range, identified as cluster liquidity in our tool, manipulation occurs with the break of liquidity, and distribution is the direction of the entry.
🟪 Methods of Identifying Liquidity
Pivot Liquidity
This refers to liquidity formed by local extremes – the highest or lowest prices reached in the market over a certain period. The period is defined by a pivot number and determines how many candles before and after the high/low were higher/lower. Simply put, the pivot number represents the number of adjacent candles to the left and right, with a lower high for a pivot high and a higher low for a pivot low. The higher the number, the more significant the high/low is. Behind these local market extremes, we expect to find orders waiting for breakout as well as stop-losses.
Gann Swing
Similar to pivot liquidity, Gann swing identifies significant market points. However, instead of candle highs and lows, it focuses on the closing prices. A Gann swing is formed when a candle closes above (or below) several previous closes (the number is again defined by a strength parameter).
Percentage Change
Apart from ticks, percentages are also a key unit of market movement. In the search for liquidity, we monitor when a local high or low is formed. For liquidity defined by percentage change, a high must be a certain percentage higher than the last low to confirm a significant high. Similarly, a low must be a defined percentage away from the last significant high to confirm a new low. With the right percentage settings, you can eliminate market noise.
Session Range (3x)
Session range is a popular concept for finding liquidity, especially in smart money concepts (SMC). You can set up liquidity visualization for the Asian, London, or New York sessions – or even all three at once. This tool allows you to work with up to three sessions, so you can easily track how and if the market reacts to liquidity grabs during these sessions.
Tip for traders: If you want to see the reaction to liquidity grab during a specific session at a certain time (e.g., the well-known killzone), you can set the Trading session in this tool to the exact time where you want to look for potential entries.
Unfinished Auction
Based on order flow theory, an unfinished auction occurs when the market reverses sharply without filling all pending orders. In price action terms, this can be seen as two candles at a local high or low with very similar or identical highs/lows. The maximum difference between these values is defined as Tolerance, with the default setting being 3 ticks. This setting is particularly useful for filtering out noise during slower market periods, like the Asian session.
Double Tops and Bottoms
A very popular concept not only from smart money concepts but also among price pattern traders is the double bottom and double top. This occurs when the market stops and reverses at a certain price twice in a row. In the tool, you can set how many candles apart these bottoms/tops can be by adjusting the Length parameter. According to some theories, double bottoms are more effective when there is a significant peak between the two bottoms. You can set this in the tool as the Swing value, which defines how large the movement (expressed in ticks) must be between the two peaks/bottoms. The final parameter you can adjust is Tolerance, which defines the possible price difference between the two peaks/bottoms, also expressed in ticks.
Range or Cluster Liquidity
When the market stays within a certain price range, there’s a chance that breakout orders and stop-losses are accumulating outside of this range. Our tool defines ranges in two ways:
Candle balance calculates the average price within a candle (open, high, low, and close), and it defines consolidation when the centers of candles are within a certain distance from each other.
Overlap confirms consolidation when a candle overlaps with the previous one by a set percentage.
Daily, Weekly, and Monthly Highs or Lows
These options simply define liquidity as the previous day’s, week’s, or month’s highs or lows.
Visual Settings
You can easily adjust how liquidity is displayed on the chart, choosing line style, color, and thickness. To display only uncollected liquidity, select "Delete grabbed liquidity."
Liquidity Duration
This setting allows you to control how long liquidity areas remain valid. You can cancel liquidity at the end of the day, the second day, or after a specific number of candles.
🟪 Strategy
Now we come to the part of working with strategies.
Max # of bars after liquidity grab – This parameter allows you to define how many candles you can search for entry signals from the moment liquidity is grabbed. If you are using engulfing as an entry signal, which consists of 2 candles, keep in mind that this number must be at least 2. In general, if you want to test a quick and sharp reaction, set this number as low as possible. If you want to wait for a structural change after the liquidity grab, which may require more candles, set the number a bit higher.
🟪 Strategy - entries
In this section, we define the signals or situations where we can enter the market after liquidity has been taken out.
Liquidity grab - This setup triggers a trade immediately after liquidity is grabbed, meaning the trade opens as the next candle forms.
Close below, close above - This refers to situations where the price closes below liquidity, but then reverses and closes above liquidity again, suggesting the liquidity grab was a false breakout.
Over bar - This occurs when the entire candle (high and low) passes beyond the liquidity level but then experiences a pullback.
Engulfing - A popular price action pattern that is included in this tool.
2HL - weak, medium, strong - A variation of a popular candlestick pattern.
Strong bar - A strong reactionary candle that forms after a liquidity grab. If liquidity is grabbed at a low, this would be a strong long candle that closes near its high and is significantly larger compared to typical volatility.
Naked bar - A candlestick pattern we’ve tested that serves as a good confirmation of market movement.
FVG (Fair Value Gap) - A currently popular concept. This is the only signal with additional settings. “Pending FVG order valid” means if a fair value gap forms after a liquidity grab, a limit order is placed, which remains valid for a set number of candles. “FVG minimal tick size” allows you to filter based on the gap size, measured in ticks. “GAP entry model” lets you decide whether to place the limit order at the gap close or its edge.
🟪 Strategy - General
Long, short - You can choose whether to focus on long or short trades. It’s interesting to see how long and short trades yield different results across various markets.
Pyramiding - By default, the tool opens only one trade at a time. If a new signal arises while a trade is open, it won’t enter another position unless the pyramiding box is checked. You also need to set the maximum number of open trades in the Properties.
Position size - Simply set the size of the traded position.
🟪 Strategy - Time
In this section, you can set time parameters for the strategy being tested.
Test since year - As the name implies, you can limit the testing to start from a specific year.
Trading session - Define the trading session during which you want to test entries. You can also visualize the background (BG) for confirmation.
Exclude session - You can set a session period during which you prefer not to search for trades. For example, when the New York session opens, volatility can sharply increase, potentially reducing the long-term success rate of the tested setup.
🟪 Strategy - Exits
This section lets you define risk management rules.
PT & SL - Set the profit target (PT) and stop loss (SL) here.
Lowest/highest since grab - This option sets the stop loss at the lowest point after a liquidity grab at a low or at the highest point after a liquidity grab at a high. Since markets usually overshoot during liquidity grabs, it’s good practice to place the stop loss at the furthest point after the grab. You can also set your risk-reward ratio (RRR) here. A value of 1 sets an RRR of 1:1, 2 means 2:1, and so on.
Lowest/highest last # bars - Similar to the previous option, but instead of finding the extreme after a liquidity grab, it identifies the furthest point within the last number of candles. You can set how far back to look using the # bars field (for an engulfing pattern, 2 is optimal since it’s made of two candles, and the stop loss can be placed at the edge of the engulfing pattern). The RRR setting works the same way as in the previous option.
Other side liquidity grab - If this option is checked, the trade will exit when liquidity is grabbed on the opposite side (i.e., if you entered on a liquidity grab at a low, the trade will exit when liquidity is grabbed at a high).
Exit after # bars - A popular exit strategy where you close the position after a set number of candles.
Exit after # bars in profit - This option exits the trade once the position is profitable for a certain number of consecutive candles. For example, if set to 5, the position will close when 5 consecutive candles are profitable. You can also set a maximum number of candles (in the max field), ensuring the trade is closed after a certain time even if the profit condition hasn’t been met.
🟪 Alerts
Alerts are a key tool for traders to ensure they don’t miss trading opportunities. They also allow traders to manage their time effectively. Who would want to sit in front of the computer all day waiting for a trading opportunity when they could be attending to other matters? In our tool, you currently have two options for receiving alerts:
Liquidity grabs alert – if you enable this feature and set an alert, the alert will be triggered every time a candle on the current timeframe closes and intersects with the displayed liquidity line.
Entry signals alert – this feature triggers an alert when a signal for entry is generated based on the option you’ve selected in the Entry type. It’s an ideal way to be notified only when a trading opportunity appears according to your predefined rules.
Liquidity tool [Influxum]One of the most widespread concepts that can give you an edge when trading in the markets is liquidity. There are several ways to identify and plot liquidity. This indicator aims to show how liquidity can be plotted entirely objectively, thus laying the foundation for a consistent trading system.
Pivot
One of the ways to identify liquidity is using pivots. Pivots are candles that are locally the highest or the lowest. We identify them using strength, which is a number that determines how many candles to the left and right of the pivot candle are lower for a pivot high and higher for a pivot low. It is important to keep in mind that a pivot candle is only confirmed when the last candle to the right closes. If I have the pivot number set to 10, it means that a pivot high is a candle that has 10 lower candles on the left and 10 lower candles on the right. Only after the 10th candle to the right closes is the pivot candle confirmed as a pivot high. Within this indicator, the liquidity line is drawn at this moment.
Tip for traders:
If you work with liquidity from both lower and higher timeframes, try adding two Liquidity Tool indicators to your chart: set a lower pivot number, for example, 5 for one, and a higher pivot number, for example, 20 for the other. At the same time, adjust the line width for liquidity with a higher pivot number to a higher value. This way, you achieve a combination of liquidity from significant higher timeframe structures and lower timeframe structures.
Gann Swing
The Gann swing is another objective way to mark liquidity in the market. Unlike pivot liquidity, which is based on the highest highs or lowest lows of candles, the Gann swing is based on the highest or lowest closes. We then mark liquidity when the current candle closes above the highest close of the last few candles or below the lowest close of the last few candles. While a pivot high might only show a local extreme in price development, the Gann swing deals with the actual closing of the price. Liquidity points determined by the Gann swing may thus be more indicative of where the price actually wants to go, not just where it was at a particular moment before sharply rebounding (as with pivot liquidity).
Percent Change
One of the most objective ways to identify liquidity is the percentage change in price. We plot liquidity only in places where there has been a sufficiently large swing/significant price movement. This can be particularly relevant for filtering out moments when the price is moving within a narrow range. In such a situation, many pivot highs and lows or Gann swings can occur, which may be only a few pips or fractions of a percent apart. If you set it so that you want liquidity to be plotted only on a swing of 0.1% (for forex, where this is a sufficiently large movement), you can easily filter out moments when the price was moving in a narrow range.
Liquidity Session
For Pivot, Gann, and Percentage liquidity, you have the option to set a trading session. This determines the time period for which you want liquidity to be plotted. You might want to see only the liquidity from the Asian session, for example. Check the checkbox with BG. This will display the background for the currently selected session. You can then check if you are working only with the liquidity of your intended session.
Note:
Sometimes you may notice that liquidity lines start even outside the selected session. This is not a mistake. As mentioned above with pivot liquidity, if the pivot number (strength) is 10, we wait for the tenth candle to close before liquidity is confirmed. The pivot candle itself is thus located 10 candles back, and that is where the liquidity line also begins. However, the crucial moment for this indicator is when the liquidity point is confirmed.
Visual Settings
To customize the indicator to your preferences as much as possible, you have the option to set the style of the liquidity line, its color, and its thickness. The analyses you share will then match your exact vision.
Delete Grabbed Liquidity
Check this option when you want to see only uncrossed liquidity on the charts, meaning liquidity lines that have not yet been crossed by the price.
Display Liquidity Grab Point
When you check this option, it highlights the points on the candles where liquidity was grabbed.
Liquidity Duration
Some strategies require that only internal liquidity be taken, meaning liquidity that was created recently. To accommodate this, we have embedded several options in the indicator to work with the validity duration of liquidity.
Delete Liquidity End of Day
This option deletes the liquidity line at the end of the calendar day. This way, you can display only intraday liquidity.
Tip for traders: If you check both "delete liquidity end of day" and "delete grabbed liquidity," only the liquidity of the current day will be displayed on the chart.
Delete Liquidity End of Next Day
This option works similarly to the above. By deleting liquidity only at the end of the next day, you can work with yesterday's liquidity. Many strategies use the liquidity of the previous day (or the high and low of the previous day), allowing you to focus exclusively on yesterday's and today's liquidity.
Liquidity Duration in Bars
The final option allows you to delete liquidity after a certain time has elapsed. For the purposes of the indicator, we have set the time in terms of the number of bars. So, if you are on a 5-minute timeframe and want liquidity to be deleted after an hour, set the liquidity duration to 12 bars (12 x 5 minutes is 60 minutes).
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
SMC Orderblocks (MTF)The SMC Orderblocks Indicator is designed to detect institutional orderblocks by focusing on price action and pattern detection, with a strong emphasis on identifying liquidity grabs.
This tool helps traders pinpoint areas where significant institutional trades are likely to occur by assuming the presence of orderblocks based on observed market behavior.
Unlike other indicators that may rely heavily on volume, the SMC Orderblocks Indicator offers a fresh approach rooted in a deep study of price action and Smart Money Concepts (SMC).
🔍 Unique Approach
Unlike other orderblock indicators that typically depend on volume to detect orderblocks (a common and valid method), the SMC Orderblocks Indicator explores a new approach. After extensive study and understanding of price action and SMC principles, this indicator focuses on market behavior to assume where institutional orderblocks might be. This approach offers traders a unique perspective and valuable insights, allowing them to view the market through a different lens.
🧠 The Theory Behind It
In trading, liquidity is essential for institutions and large market participants to execute their substantial orders. Orders tend to cluster around predictable levels, such as recent highs or lows, creating pools of liquidity. To secure better entry points for their large trades, institutions and market makers may manipulate prices to sweep these liquidity levels. The SMC Orderblocks Indicator is designed to detect these market manipulations—when price moves to capture liquidity—and uses these events to assume the presence of orderblocks at key levels. By recognizing these manipulations, the indicator provides insights into potential areas of significant institutional activity.
⚙️ How It Works
In order to make it work, there are two big essentail parts for this indicator. The first one is being able to identify liquidity areas. The second one is to detect the liquidity grab pattern.
1. Identifying Liquidity
So, in order to find market manipulations, mainly "liquidity grabs", the first thing we need is to find where the liquidity is.
Here "liquidity", refers to "orders", and only the exchange actually knows at what price orders are placed. The limit orders are visible in the order book and most of the time the exchange let this information be publicly accessed. But not all orders are in the orderbook. The stop-limit orders like stop-loss orders are added in the orderbook only when the market price reaches a certain price (the stop price).
At present, when using a chart script like Pinescript, there is no known way to access this real information.
But fortunately, traders and institutional behavior stay the same. Traders tend to place their orders at predictable levels, like above highs or below lows. They can also be near inducement areas, specifically created by institutions to induce traders to place their orders at certain levels.
So, the job of the indicator is first to find these levels, regardless of the method used. In the previous version of this script, I used pivots to detect highs and lows, but this method was lacking when it came to finding inducement zones or stacks of liquidity.
Instead, the indicator now uses a new method to check whether there is a stack of non-liquidated candles. This method allows the detection of inducement zones with unliquidated candles. When the stack reaches a certain number (by default, three), the liquidity is marked as valid for sweep detection.
Note: When using the indicator, you can enable the display of liquidity (to see mitigated and unmitigated liquidity) and their stack number.
2. Detecting a Liquidity sweep
Once the first and key part is done, we need to detect the market manipulation: the liquidity grabs. Liquidity grab patterns are always the same. In the following example, let's assume the institutions want to fill sell orders in a bearish market. Here are the steps they will likely take:
- 1. The institutionals place their main orders (the orderblock) at a desired price.
- 2. They let the liquidity accumulate next to that desired price. They can even induce traders to place their own orders there. The will serve as liquidity.
- 3. Institutionals will manipulate the market price to move it towards their awaiting orders to fill them. Once that price is reach, and their orders are being filled, the market price will start moving in the opposite direction.
- 4. The grab is confirmed, when the liquidity in that oppsiite direction is grabed, or simply when the bearish market trend resumes by breaking the lows, along with additional confirmations
Sometimes, institutions will have two opposite positions in the same asset—one short and one long. This is called hedging. The goal here is to use the long orders to push the market price towards the main sell orders. Once the sell orders are filled and the market price starts falling, they may try to push it up again to close their long position with minimal loss and finally let the price fall for good.
It is at that moment that it is best to enter the market. This is why, by default, the indicator will display when the price starts moving upward towards the liquidity grab: because it's where the manipulation started and where the price is likely to reach again before resuming the main trend.
Real-Time Visualization:
As soon as an "orderblock" (or market manipulation) is detected, the indicator will display it on the chart in real time.
This immediate visualization helps traders stay ahead and catch the main market move.
💡 Usage Tips
Apply the script to your chart. This is a price-action based script so it will work on most markets. You do not need to edit settings but you can adjust them to match your trading style.
To get the most out of the SMC Orderblocks Indicator, it’s recommended to use it alongside other analysis tools, espacially market structure indicators. You can try the free-to-use SMC Market Structure (MTF) to filter the interesting orderblocks.
Additionnaly, if you search liquidity areas to set as your trade's target, you can enable their display to see mitigated and unmitigated liquidity lines. The display is disabled by default to keep charts clean.
While the indicator helps detect potential institutional orderblocks based on liquidity grabs, combining its insights with your trading knowledge and other tools will enhance decision-making.
⚠️ Disclaimer
While this method provides useful information, the orderblocks can only be assumed based on market behavior. Moreover, given how the indicator works, the accuracy cannot be guaranteed. It's important to combine the indicator's information with your own experience and other confirmation methods.
Orderblocks are also time-sensitive. The fact that an orderblock was detected and displayed on the chart does not guarantee that orders will still be present when the price returns to that level. If too much time has elapsed since the orderblock was created, or if the market structure has changed, it may be wise to disregard it. Always seek additional confirmation before opening a position.
The theory presented here on how institutional orderblocks are made, and how the market may be manipulated to fill orders, is based on my own research, knowledge, and analysis. Since I have never worked within an institution, these are educated assumptions and could be incorrect. Please always do your own research.
🚀 Active Development
The SMC Orderblocks Indicator is continuously evolving, with updates aimed at improving the rules for detecting and confirming orderblocks. Future updates may include new features and bug fixes to enhance performance and adapt to different trading styles.
📬 Note: If you encounter a bug, please contact me directly via private message, as I do not want to pollute the comment section with screenshots.
If you have any questions or suggestions for new features, feel free to reach out. You can also add a comment to boost its visibility.
Additionally, it’s recommended to compare the results of this indicator with others to find what best suits your trading style.
Please note that while this indicator is a paid script, you do not need to pay to test it. Contact me directly on TradingView via private message or through my socials, or leave a comment, and I’ll provide you with a free trial.
Pure Price Action Liquidity Sweeps [LuxAlgo]The Pure Price Action Liquidity Sweeps indicator is a pure price action adaptation of our previously published and highly popular Liquidity-Sweeps script.
Similar to its earlier version, this indicator detects the presence of liquidity sweeps on the user's chart, while also identifying potential areas of support/resistance or entry when liquidity levels are taken. The key difference, however, is that this price action version relies solely on price patterns, eliminating the need for numerical swing length settings.
🔶 USAGE
A Liquidity Sweep occurs when the price breaks through a liquidity level , after which the price returns below/above the liquidity level , forming a wick.
The examples below show a bullish and bearish scenario of "a wick passing through a liquidity level where the price quickly comes back".
Short-term liquidity sweep detection is based on short-term swing levels. Some of these short-term levels, depending on further market developments, may evolve into intermediate-term levels and, in the long run, become long-term levels. Therefore, enabling short-term detection with the script means showing all levels, including minor and temporal ones. Depending on the trader's style, some of these levels may be considered noise. Enabling intermediate and long-term levels can help filter out this noise and provide more significant levels for trading decisions. For further details on how swing levels are identified please refer to the details section.
The Intermediate-term option selection for the same chart as above, filters out minor or noisy levels, providing clearer and more significant levels for traders to observe.
🔶 DETAILS
The swing points detection feature relies exclusively on price action, eliminating the need for numerical user-defined settings.
The first step involves detecting short-term swing points, where a short-term swing high (STH) is identified as a price peak surrounded by lower highs on both sides. Similarly, a short-term swing low is recognized as a price trough surrounded by higher lows on both sides.
Intermediate-term swing and long-term swing points are detected using the same approach but with a slight modification. Instead of directly analyzing price candles, we now utilize the previously detected short-term swing points. For intermediate-term swing points, we rely on short-term swing points, while for long-term swing points, we use the intermediate-term ones.
🔶 SETTINGS
Detection: Period options of the detected swing points.
🔶 RELATED SCRIPTS
Pure-Price-Action-Structures.
Liquidity-Sweeps.
Liquidity Swings & SweepsThis Pine script indicator is designed to create a visual representation liquidity as identified by swing Highs/Lows along with an indication of the liquidity level that was swept, optionally rating the strength of the sweep based on time & price.
Relevance:
Liquidity levels & sweeps are crucial for many SMC/ICT setups and can indicate a point at which the price changes direction or may re-trace in an opposite direction to provide additional liquidity for continued move in the original direction. Additionally, liquidity levels may provide targets for setups, as price action will often seek to take out those levels as they main contain many buy/sell stops.
How It Works:
The indicator tracks all swing points, as identified using user-defined strength of the swing. Once a swing is formed that meets the criteria, it is represented by a horizontal line starting at the price of the current swing until the last bar on the chart. While the swing is valid, this line will continue to be extended until the swing is invalid or a new swing is formed. Upon identifying a new swing, the indicator then scans the earlier swings in the same direction looking for a point of greatest liquidity that was taken by the current swing. This level is then denoted by dashed horizontal line, connecting earlier swing point to the current. At the same time any liquidity zones between the two swings are automatically removed from the chart if they had previously been rendered on the chart. If the setting to enable scan for maximum liquidity is enabled, then while looking back, the indicator will look for lowest low or highest high that was taken by the current swing point, which may not be a swing itself, however, is a lowest/highest price point taken (mitigated) by the current swing, which in many cases will be better price then then the one represented by previous swing. If the option to render sweep label is enabled, the sweep line will also be completed by a label, that will score the sweep and a tooltip showing the details of the level swept and the time it took to sweep it. The score explained further in configurability section ranks the strength of the sweep based on time and is complemented by price (difference in price between the two liquidity levels).
Configurability:
A user may configure the strength of the swing using both left/right strength (number of bars) as well as optionally instruct the indicator to seek the lowest/highest price point which may not be previous swing that was taken out by newly formed swing.
From appearance perspective liquidity level colors & line width presenting the liquidity/swing can be configured. There is also an option to render the liquidity sweep label that will generate an icon-based rating of the liquidity sweep and a tooltip that provides details on the scope of the swing, which includes liquidity level swept and when it was formed along with the time it took to sweep the liquidity.
Rating is of sweeps is primarily based on time with a secondary reference to price
💥- Best rating, very strong sweep with an hourly or better liquidity sweep
🔥- Second rating, strong sweep with 15 – 59 minute liquidity sweep, or 5+ minute sweep of 10+ points
✅- Third rating, ok sweep with 5 - 15 minute liquidity sweep, or lower-time-frame sweep of 10+ points
❄️ - Weakest sweep, with liquidity of 5 or less minutes swept
What makes this indicator different:
Designed with high performance in mind, to reduce impact on chart render time.
Only keeps valid liquidity levels & sweeps on the chart
Automatically removes previously taken liquidity levels
Ranks liquidity sweeps to indicate strength of the sweep
ICT Turtle Soup | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Turtle Soup Indicator! This indicator is built around the ICT "Turtle Soup" model. The strategy has 5 steps for execution which are described in this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Turtle Soup Indicator :
Implementation of ICT's Turtle Soup Strategy
Adaptive Entry Method
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The ICT Turtle Soup strategy may have different implementations depending on the selected method of the trader. This indicator's implementation is described as :
1. Mark higher timerame liquidity zones.
Liquidity zones are where a lot of market orders sit in the chart. They are usually formed from the long / short position holders' "liquidity" levels. There are various ways to find them, most common one being drawing them on the latest high & low pivot points in the chart, which this indicator does.
2. Mark current timeframe market structure.
The market structure is the current flow of the market. It tells you if the market is trending right now, and the way it's trending towards. It's formed from swing higs, swing lows and support / resistance levels.
3. Wait for market to make a liquidity grab on the higher timeframe liquidity zone.
A liquidity grab is when the marked liquidity zones have a false breakout, which means that it gets broken for a brief amount of time, but then price falls back to it's previous position.
4. Buyside liquidity grabs are "Short" entries and Sellside liquidity grabs are "Long" entries by default.
5. Wait for the market-structure shift in the current timeframe for entry confirmation.
A market-structure shift happens when the current market structure changes, usually when a new swing high / swing low is formed. This indicator uses it as a confirmation for position entry as it gives an insight of the new trend of the market.
6. Place Take-Profit and Stop-Loss levels according to the risk ratio.
This indicator uses "Average True Range" when placing the stop-loss & take-profit levels. Average True Range calculates the average size of a candle and the indicator places the stop-loss level using ATR times the risk setting determined by the user, then places the take-profit level trying to keep a minimum of 1:1 risk-reward ratio.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suit for the ICT's Turtle Soup concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. It's designed for simplyfing a rather complex strategy, helping you to execute it with clean signals. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
MSS Swing Length -> The swing length when finding liquidity zones for market structure-shift detection.
Higher Timeframe -> The higher timeframe to look for liquidity grabs. This timeframe setting must be higher than the current chart's timeframe for the indicator to work.
Breakout Method -> If "Wick" is selected, a bar wick will be enough to confirm a market structure-shift. If "Close" is selected, the bar must close above / below the liquidity zone to confirm a market structure-shift.
Entry Method ->
"Classic" : Works as described on the "HOW DOES IT WORK" section.
"Adaptive" : When "Adaptive" is selected, the entry conditions may chance depending on the current performance of the indicator. It saves the entry conditions and the performance of the past entries, then for the new entries it checks if it predicted the liquidity grabs correctly with the current setup, if so, continues with the same logic. If not, it changes behaviour to reverse the entries from long / short to short / long.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
ICT Setup 01 [TradingFinder] FVG + Liquidity Sweeps/Hunt Alerts🔵 Introduction
The ICT (Inner Circle Trader) style of trading involves analyzing the behavior of market participants and market makers to identify areas where fake buy and sell activities occur. This trading style helps retail traders align with market maker behavior and avoid falling into market traps.
A key aspect of the ICT strategy is focusing on liquidity hunts. This involves searching for trading opportunities in areas of the market with low liquidity or where other traders have little activity. The ICT method leverages market inefficiencies and weaknesses, allowing traders to profit from small price movements that might go unnoticed by others.
In "ICT Setup 01," our focus is on these liquidity areas and stop hunts that form in Fair Value Gaps (FVGs). Trading within FVGs, combined with confirmations from "Hunts" and "Sweeps," can enhance trader performance.
🔵 How to Use
The presence of Fair Value Gaps (FVGs) in the market indicates rapid, powerful movements likely caused by the influx of smart money. When the price returns to these levels, a market reaction is expected.
Combining this with the complex and deceptive behavior of smart money—such as "Liquidity Sweeps" and "Stop Hunts"—forms an ICT-based price action setup that we expect to perform well.
Components of "ICT Setup 01" :
● Fair Value Gap (FVG)
● Premium and Discount
● Hunts / Sweeps
Whenever the price returns to an FVG area and reacts in such a way that only the wicks of the candles remain in the area and the candle bodies are outside the FVG, the first condition for creating the setup is met.
If subsequent candles hunt the wick that has penetrated the deepest into the FVG, a buy or sell signal is issued. In the format where hunting is based on Sweeps, penetrations that extend even outside the area are considered signals, provided they do not form a body within the area.
Additionally, a refining system exists for cases where a candle body forms in the area, optimizing the proximal levels of the FVG.
Bullish Setup :
Bearish Setup :
🔵 Features and Settings of "ICT Setup 01"
You can Find out more in Setting :
● FVG Detector Multiplier Factor
● FVG Validity Period
● Level in Low-Risk Zone
● Issuing Signals Method
● Number of Signals Allowed from a Zone
● Signal after Hunts/Sweeps
● How Many Hunts/Sweeps
● Show or Hide
● Alert Sender
FVG Detector Multiplier Factor :
This feature allows you to determine the size of the moves forming the FVGs based on the ATR (Average True Range). The default value is 1 to identify the majority of setups. You can increase this value according to the symbol and market you are trading in to achieve better results.
FVG Validity Period :
This shows the validity period of an FVG based on the number of candles. By default, an FVG area is valid for up to 15 candles. However, you can increase or decrease this period.
Level in Low-Risk Zone :
This feature helps reduce your risk. The method works by identifying the entire length of the three candles forming the FVG and dividing it into two equal areas. The upper area is "Premium," and the lower area is "Discount." To reduce risk, it is better for "Demand FVG" to be in the "Discount" and "Supply FVG" in the "Premium." This feature is off by default.
Issuing Signals Method :
This feature allows you to specify whether the hunt should occur only within the FVG area or if the wicks can extend outside the area.
If set to "Hunts," only signals where the wicks are within the area are issued, and the area loses its validity if the wicks extend outside.
In "Sweeps" mode, wicks can extend outside the area as long as they do not form a body within the area.
Number of Signals Allowed from a Zone :
This feature allows you to specify how many valid signals can be issued from one area.
Signal after Hunts/Sweeps :
In markets or symbols with a tendency for frequent stop hunts, this feature allows you to specify how many hunts should occur before you receive a signal to avoid receiving potentially failed signals.
How Many Hunts/Sweeps :
Enter the number of hunts you want to set for the "Signal after Hunts/Sweeps" feature here.
Show or Hide :
The number of setups formed may be very large, and displaying all of them on the chart can be distracting and messy. By default, only the last setup is displayed, but if you want to see all setups, you can turn on the relevant options.
Alert Sender :
You cannot constantly monitor multiple charts to identify trading opportunities. Using the alert sending feature can save time and improve performance.
Alerts Name : Customize the alert name to your preference.
Message Frequency : Determines the frequency of alert messages. Options include 'All' (triggers every time the function is called), 'Once Per Bar' (triggers only on the first call within the bar), and 'Once Per Bar Close' (triggers only on the final script execution of the real-time bar upon closure). The default is 'Once per Bar.'
Show Alert Time by Time Zone : Configure the alert messages to reflect any chosen time zone. For instance, input 'UTC+1' for London time. The default is 'UTC.'
By configuring these settings, traders can effectively utilize ICT setups to improve their trading strategies and outcomes.
Liquidity Grab Zones | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Liquidity Grab Zones Indicator! This indicator finds liquidity grabs in the current ticker and renders buyside & sellside liquidity grab zones. The retests and breakout of the zones are labeled, and you can set up alerts to get notified. For more information, please check the "HOW DOES IT WORK" section.
Features of the new Liquidity Grab Zones Indicator :
Renders Buyside & Sellside Liquidity Grab Zones
Retests & Breaks
Inverse Zones After Broken Feature
Alerts For All Features
Customizable Algorithm
Customizable Styles
🚩UNIQUENESS
Liquidity grabs can be useful when determining candles that have executed a lot of market orders, so you can plann your trades accordingly. This indicator lets you customize the pivot length and the wick-body ratio for liquidity grabs, provide retest & breakout labels, with customized styling and alerts.
📌 HOW DOES IT WORK ?
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a zone is plotted.
These zones usually indicate areas of high market interest where price action may reverse or accelerate. Identifying these zones can provide traders with critical levels for entering or exiting trades. A breakout of these zones generally mean strong movements are inbound, while failing breakouts make these zones act like support / resistance zones.
The indicator also reverses the type of the zone after an invalidation (can be turned off from the settings). This feature helps traders identify potential reversals more accurately.
The zone width is set to the area from the wick to the body of the candlestick, which can be seen here :
⚙️SETTINGS
1. General Configuration
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
Zone Invalidation -> Select between Wick & Close price for Liquidity Grab Zone Invalidation.
Use these customizable settings to fine-tune the indicator according to your trading strategy and preferences.
Liquidity Grab Screener | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Liquidity Grab Screener! This screener can provide information about the latest liquidity grabs in up to 5 tickers. You can also customize the algorithm that finds the liquidity grabs and the styling of the screener.
Features of the new Liquidity Grab Screener :
Find Latest Liquidity Grabs Accross 5 Tickers
Price, Size, Status Information
Customizable Algoritm / Styling
📌 HOW DOES IT WORK ?
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a bubble is plotted.
The bubble size is determined by the wick to body ratio of the candle.
This screener then finds liquidity grabs accross 5 different tickers, and shows the latest information about them.
Price -> The price when the liquidity grab happened.
Size -> Size of the liquidity grab, determined by the wick-body ratio.
Status -> Shows the elapsed time of the liquidity grab.
🚩UNIQUENESS
Liquidity grabs can be useful when determining candles that have executed a lot of market orders, and planning your trades accordingly. This screener will find liquidity grabs from up to 5 tickers and give information about their price, size and status. The screener also lets you customize the pivot length and the wick-body ratio for liquidity grabs.
⚙️SETTINGS
1. Tickers
You can set up to 5 tickers for the screener to scan order blocks here. You can also enable / disable them and set their individual timeframes.
2. General Configuration
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
Liquidity Grabs | Flux Charts💎 GENERAL OVERVIEW
Introducing our new Liquidity Grabs indicator! This indicator can renders bubbles with different sizes at candles that have liquidity grabs, which happen when a liquidity areas (buyside / sellside liquidity) is swept. These candles often fill a lot of market orders that were sitting on the liquidity zone. You can check "How Does It Work" section for more information.
Features of the new Liquidity Grabs Indicator :
Renders Liquidity Grabs
Customizable Algorithm
Customizable Styles
Alerts
🚩UNIQUENESS
Liquidity grabs can be useful when determining candles that have executed a lot of market orders, and planning your trades accordingly. This indicator renders liquidity grabs in an unique bubble style, the size of the bubble is calculated by the size of the wick that caused the liquidity grab. The indicator also lets you customize the pivot length and the wick-body ratio for liquidity grabs.
📌 HOW DOES IT WORK ?
Liquidity grabs occur when one of the latest pivots has a false breakout. Then, if the wick to body ratio of the bar is higher than 0.5 (can be changed from the settings) a bubble is plotted. Using the wick length as a metric to measure liquidity is good because long wicks can translate to a large amount of buyers / sellers entering the market.
The bubble size is determined by the wick to body ratio of the candle.
⚙️SETTINGS
1. General Configuration
Pivot Length -> This setting determines the range of the pivots. This means a candle has to have the highest / lowest wick of the previous X bars and the next X bars to become a high / low pivot.
Wick-Body Ratio -> After a pivot has a false breakout, the wick-body ratio of the latest candle is tested. The resulting ratio must be higher than this setting for it to be considered as a liquidity grab.
Liquidity Sweeps [LuxAlgo]The Liquidity Sweeps indicator detects the presence of liquidity sweeps on the user's chart, while also providing potential areas of support/resistance or entry when Liquidity levels are taken.
In the event of a Liquidity Sweep a Sweep Area is created which may provide further areas of interest.
🔶 USAGE
A Liquidity Sweep occurs when the price breaks through a liquidity level (further referred to as LqL ), after which the price returns below/above the liquidity level , forming a wick.
The script provides 2 options when this can happen:
A wick passes a LqL after which the price quickly returns.
First the closing price breaks through a LqL . After a while, the price retests the LqL and forms a wick in the opposite direction.
The examples above show a bullish and bearish scenario of "a wick passing through an LqL where the price quickly comes back". This type of Liquidity Sweep is represented by a dotted line.
The following example shows a broken LqL , where the price retests the Liquidity zone and bounces back.
Instead of a dotted line, this type of Liquidity Sweep is represented by a dashed line.
When a Liquidity Sweep takes place, this is indicated by highlighting the "wick- LqL " distance. This distance is also the basis for the Sweep Area (see next sub-section). A small 3-bar long dotted line starts from the opposite wick as an extra aid to determine potential support/resistance/entry, ...
Colors can be set in the settings (here yellow and aqua blue instead of default colors for clarity).
🔹 Sweep Areas
The distance between the LqL and the maximum limit of the wick forms a Sweep Area , which can provide a potential support/resistance or entry zone.
These examples show both types of Liquidity Sweeps , followed by a box indicating the Sweep Area .
When the Sweep Area is mitigated or a certain amount of bars has passed (Settings - 'Max bars'), the boxes will no longer be updated.
In this case, the 'Trigger' label shows the bar where the high crossed a LqL , after which a red box starts between LqL and high.
The low of the 'Trigger' bar is the starting point of a short dotted line. Next to the 'Trigger bar' the high touches the Sweep Area before returning, providing a potential short entry. One bar further, another entry opportunity presents itself when the price breaks the small dotted line.
In the following bullish example, not only do we see opportunities when the LqL has been swept, but the following Sweep Area provides some potential entries.
The small green dotted lines also act as a guide where the price breaks above, then forms a small range, after which the price continues in an upward direction.
Here, the initial trigger on the left forms a Sweep Area that is quickly broken. However, the small green line provides a potential entry area later on. The price moves in a short channel before breaking above the LqL (green dashed line), providing more potential entries. Price retests this LqL , and goes below this level. The price remained around the previously formed channel, after which the price resumed its upward trend.
🔶 SETTINGS
🔹 Liquidity Sweeps
Swings: Period used for the swing detection, with higher values returning longer term Liquidity Levels .
Options:
- Only Wicks: Only detects a Liquidity Sweep when a wick sweeps a previous wick
- Only Outbreaks & Retest: Only detects a Liquidity Sweep when the price breaks a Liquidity Level , returns & retests the Liquidity Level , and forms a wick in the opposite direction.
- Wicks + Outbreaks & Retest: Both options can be detected.
🔹 Sweep Area
Extend: Enables/Disables extension of the Sweep Area boxes.
Max Bars: Limit the extension to a certain number of bars.
Color Sweep Area box.
Sweep institutionalThis indicator focuses on identifying "SWEEPs" based on taking liquidity at highs and lows. The application of the SWEEP strategy is highly determinant in the Swing points, as they serve as the target of our operations.
ALERTS INCLUDED
🔹Example of Strategy Application
1.-Create the BULLISH SWEEP.
2.-You can enter LONG.
3.-If it is a BULLISH SWEEP, take a long with a SWING HIGH target (2-3 pips up).
4.-If it is a BULLISH SWEEP, place your SL behind the SWEEP (2-3 pips).
(This example is bullish, but it would be the same in a bearish setup, applying everything in the opposite way)
t's very crucial for the strategy to reference SWING POINTS, as these points will be our take profit and stop loss points.
The strategy is based on identifying a SWEEP. After this, we can look for trading opportunities with targets on the opposite side of the fractal. Remember, if you decide to enter, the Stop Loss should be placed protected by the Sweep, and the Take Profit should be set at the opposite Swing, as seen in the example.
Use this STRATEGY IN TIMEFRAMES GREATER THAN 30M. If you decide to use it in timeframes <30M, there's a higher probability of encountering false SWEEPs (the most optimal are 1h & 4h)
🔹Use
The Sweep strategy involves identifying potential trades based on the creation of a "SWEEP" (liquidity grab) at the Swing High or Swing Low. Below is an example of a bearish opportunity after taking liquidity from a Swing High with a wick and no candle body closing above it.
🔹Details
As you have seen, it indicates the surpassing of a high without the candle body, this is called a “SWEEP.” Each time this occurs, the price is likely to surpass the opposite SWING High/Low. The following example will show more clearly how it works in both bullish and bearish scenarios.
🔹Configuration
-Cooldown period: is the length of the operating Range line
-Swing detection: determines the points to be used as SL and TP protection
Bullish/Berish Sweep
-Line Width: size of the line
-Line Style: design type
-Color
Liquidity PeaksThe "Liquidity Peaks" indicator is a tool designed to identify significant supply and demand zones based on volumetric analysis. It analyzes the volume profile within a specified lookback range to pinpoint the most volumetric point and draw corresponding zones on the price chart.
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator utilizes volume data to identify key supply and demand areas on the price chart. By examining the volume profile within a defined lookback range, it highlights three distinct zones: liquidity grab, volume containment, and the most volumetric point.
Zones and their meanings:
Liquidity grab (Orange box): This zone represents a price level where there is a significant swipe of the previous demand zone within the volume range. It indicates a potential shift in market sentiment and serves as a key supply or demand area.
Volume containment (Gray box): This zone displays the area of volume contained before the peak in volume. It provides insights into the range where buying or selling pressure was concentrated, highlighting potential support or resistance levels.
Most volumetric point (Light blue box): This zone represents the point within the lookback range that exhibits the highest volume. It signifies a significant area of market interest and indicates a potential supply or demand level.
Adjustable options:
Adjust liquidity Grab: This option allows you to adjust the size of the boxes. When enabled, the box size is set to twice the size of the high or low of the candle's wick. This adjustment enhances the visibility and accuracy of identifying swipes at specific price levels.
Show origin: Enabling this option ensures that the liquidity boxes are drawn from the wick they were created from. This provides a clear visual reference to the specific candle and highlights the liquidity levels associated with it.
Utility:
The 𝐋𝐢𝐪. 𝐏𝐞𝐚𝐤𝐬 indicator is a valuable tool for traders and investors seeking to identify significant supply and demand zones in the market. By analyzing volume data and drawing corresponding zones on the chart, it helps to pinpoint areas where buying or selling pressure is likely to emerge.
Traders can utilize this information to identify potential support and resistance levels, plan their entries and exits, and make more informed trading decisions. The liquidity grab zones can act as potential reversal or breakout points, while the volume containment zones and most volumetric points provide insights into areas of high market interest.
It is important to note that this indicator should be used in conjunction with other technical analysis tools and indicators to confirm trading signals and validate market dynamics.
Example Charts:
