Liquidity Engulfing (Nephew_Sam_)🔥 Liquidity Engulfing Multi-Timeframe Detector
This indicator finds engulfing bars which have swept liquidity from its previous candle. You can use it across 6 timeframes with fibonacci entries.
⚡ Key Features
6 Customizable Timeframes - Complete market structure analysis
Smart Liquidity Detection - Finds patterns that sweep liquidity then reverse
Real-Time Status Table - Confirmed vs unconfirmed patterns with color coding
Fibonacci Integration - 5 customizable fib levels for precise entries
HTF → LTF Strategy - Spot reversals on higher timeframes, enter on lower timeframe fibs
📈 Engulfing Rules
Bullish: Current candle bullish + previous bearish + current low < previous low + current close > previous open
Bearish: Current candle bearish + previous bullish + current high > previous high + current close < previous open
Cerca negli script per "liquidity"
Liquidity IndicatorThe Liquidity Indicator helps identify key price levels where liquidity may be concentrated by highlighting local highs and local lows on the chart. These levels are calculated using a lookback period to determine the highest and lowest points in the recent price action.
Local Highs: Displayed as red lines, these indicate recent peaks where price has experienced rejection or a possible reversal point.
Local Lows: Displayed as green lines, these represent recent troughs where price may find support or experience a bounce.
This indicator is useful for spotting potential areas of interest for price reversal or continuation, as high liquidity zones may lead to more significant price movements.
Key Features:
Adjustable lookback period to define the scope for identifying local highs and lows.
Continuous plotting without any time restrictions, providing real-time insights into liquidity conditions.
Alerts available for when a local high or local low is detected, enabling timely market analysis.
Use Case:
This indicator can be used in conjunction with other technical analysis tools or strategies to help identify significant price levels where liquidity could impact price action. It is suitable for both intraday and swing traders looking for key price zones where potential reversals or continuations might occur.
Liquidity LevelsThe "Liquidity Levels" indicator on TradingView is designed to identify and highlight liquidity levels in the market. This indicator is based on pivot highs and lows with an adjustable offset to adjust the importance and length of the identified levels.
The strength of this indicator lies in its ability to highlight changes in liquidity levels, which can be crucial for traders. By marking pivot highs and lows, potential areas of high liquidity are highlighted, which can indicate where significant market movements or reversal points may occur.
The flexibility of whether the calculation is based on the closing price or the high/low prices allows for customisable analysis. The visual representation of liquidity levels by lines makes it easier to identify and monitor these key areas in the chart, which can provide additional value for traders.
Liquidity Channel with B/SIndicator - Liquidity Level
Which calculates the liquidity levels based on the highest high and lowest low of the specified period. It determines the middle line, upper line, and lower line of the liquidity channel. The liquidity level is the average of the upper and lower lines, and the liquidity level distance is half of the difference between the upper and lower lines.
Here, the code determines if the conditions for overbought and oversold signals are met. It compares the current closing price with the previous opening price to determine the color of the bar (red or green). If the conditions are met and the bar color matches the expected direction (red for overbought and green for oversold), the respective signals are triggered.
The code plots buy and sell signals on the chart using shape labels. It displays "Buy" labels below the bars for buy signals and "Sell" labels above the bars for sell signals. Additionally, it colors the bars in gray. The code also sets up alert conditions to send notifications when buy or sell signals occur.
*************** Please note that this is a high-level overview of the code's functionality. The specific details and calculations may vary based on the parameters and settings provided in the code.
*************** Remember, trading involves risks, and it's important to thoroughly test any strategy and consider risk management principles before using it in live trading. It's recommended to consult with a knowledgeable financial advisor or professional trader for guidance and assistance in developing and implementing trading strategies.
***************Happy trading..
I will try to share my most commonly used strategies with you as much as possible. For this, you can follow me as a source of motivation, and if you like the indicators, you can give me a rocket to make me happy, my friends! :))
Liquidity Grab Detector (Stop Hunt Sniper) v2.2📌 Purpose
This indicator detects Stop Hunts (Liquidity Grabs) — false breakouts above/below recent highs or lows — filtered by trend direction, volatility, and volume conditions.
It is designed for scalpers and intraday traders who want to identify high-probability reversal zones.
🧠 How It Works
1. Key Logic
Detects previous swing high / swing low over the Lookback Bars.
Marks a false breakout when price moves beyond the level and closes back inside.
Requires a volume spike on the breakout to confirm liquidity sweep.
2. Trend Filter (EMA 50)
Bullish signals only if price is above EMA 50.
Bearish signals only if price is below EMA 50.
This removes most counter-trend stop hunts.
3. ADX Filter
Signals appear only when ADX < Max ADX (low-trend conditions).
This avoids false signals in strong trending markets.
📈 How to Use
Green Arrows: Bullish stop hunt (potential long entry).
Red Arrows: Bearish stop hunt (potential short entry).
Works best in range conditions, liquidity zones, or near session highs/lows.
Combine with order flow, volume profile, or price action for extra confirmation.
Recommended Timeframes: 1m–15m for scalping; 30m–1h for intraday.
Markets: Crypto, Forex, Indices.
⚙️ Inputs
Lookback Bars — swing detection
Volume Spike Multiplier
EMA Length (trend filter)
Min Retrace — how much price must return inside range
Max ADX — trend filter sensitivity
⚠️ Disclaimer
This script is for educational purposes only and does not constitute financial advice.
Always test thoroughly before live trading.
Liquidity Sweep Reversal [Grimoire]The Liquidity Sweep Reversal indicator is designed to spot potential turning points by watching for “liquidity sweeps” above key prior highs. Specifically, it marks when price briefly pushes above levels such as:
The high of the previous candle
The high of the prior trading day
The high of the previous week
These sweeps often trigger stop-hunts or liquidity hunts, after which price frequently reverses. By highlighting those moments, the indicator helps you anticipate and trade these reversal moves more easily.
RSI + MACD + Liquidity FinderLiquidity Finder: The liquidity zones are heuristic and based on volume and swing points. You may need to tweak the volumeThreshold and lookback to match the asset's volatility and timeframe.
Timeframe: This script works on any timeframe, but signals may vary in reliability (e.g., higher timeframes like 4H or 1D may reduce noise).
Customization: You can modify signal conditions (e.g., require only RSI or MACD) or add filters like trend direction using moving averages.
Backtesting: Use TradingView's strategy tester to evaluate performance by converting the indicator to a strategy (replace plotshape with strategy.entry/strategy.close).
Liquidity Squeeze Indicator 1The provided Pine Script code implements a "Liquidity Squeeze Indicator" in TradingView, designed to detect potential bullish or bearish market squeezes based on EMA slopes, candle wicks, and body sizes.
Code Breakdown
EMAs Calculation: Calculates the 21-period (ema_21) and 50-period (ema_50) exponential moving averages (EMAs) on closing prices.
EMA Slope Calculation: Computes the slope of the 21-period EMA over a 21-period lookback to estimate trend direction, with a threshold of 0.45 to approximate a 45-degree angle.
Candle Properties: Measures the size of the candle's body and its upper and lower wicks for comparison to detect wick-to-body ratios.
Trend Identification: Defines a bullish trend when ema_21 is above ema_50 and a bearish trend when ema_21 is below ema_50.
Wick Conditions
Bullish Condition : In a bullish trend with the EMA slope up, checks if the upper wick is at least 3x the body size and the closing price is above the 21 EMA.
Bearish Condition: In a bearish trend with the EMA slope down, checks if the lower wick is at least 3x the body size and the closing price is below the 21 EMA.
Signal Plotting: Plots a green dot above the bar for bullish signals and a red dot below the bar for bearish signals.
Alerts: Defines alert conditions for both bullish and bearish signals, providing specific alert messages when conditions are met.
Summary
This indicator helps identify potential bullish or bearish liquidity squeezes by looking at trends, EMA slopes, and wick-to-body ratios in candlesticks. The primary signals are visualized through dots on the chart and can trigger alerts for notable market conditions.
liquidity reversalThis script detects liquidity sweeps and confirms reversals based on price action. It looks for:
- A sweep of a recent high or low
- A reversal candle closing back inside range
- (Optional) Confirmation via market structure break (MSB)
When confirmed, it plots:
- BUY signals after low sweep + bullish break
- SELL signals after high sweep + bearish break
Works on any timeframe. Designed for MNQ scalping during NY open.
Liquidity Zones, EMAs, Market Cipher BAll In One, market cipher b, divergences, ema 12/21/50/200, and liquidity zones
Liquidity Grab Strategy (Volume Trap)🧠 Strategy Logic:
Liquidity Grab Detection:
The script looks for a sharp drop in price (bearish engulfing or breakdown candle).
However, volume remains flat (within 5% of the 20-period moving average), suggesting the move is manipulated, not genuine.
Fair Value Gap Confirmation (FVG):
It confirms that a Fair Value Gap exists — a gap between recent candle bodies that price is likely to retrace into.
This gap represents a high-probability entry zone.
Trade Setup:
A limit BUY order is placed at the base of the FVG.
Stop Loss (SL) is placed below the gap.
Take Profit (TP) is placed at the most recent swing high.
📈 How to Use It:
Add the strategy to your TradingView chart (1–5 min or 15 min works well for intraday setups).
Look for green BUY labels and plotted lines:
💚 Green = Entry price
🔴 Red = Stop loss
🔵 Blue = Take profit
The script will automatically simulate entries when conditions are met and exit either at TP or SL.
Use TradingView’s Strategy Tester to review:
Win rate
Net profit
Risk-adjusted performance
Liquidity SpotterIndicator Setup:
The script sets up a TradingView indicator titled "Liquidity Spotter" with a short title "PWWTC LS". It's designed to overlay on the price chart (overlay=true).
Input Variables:
The script defines input variables that allow users to customize the behavior of the indicator:
atr_length: Length of the Average True Range (ATR) used in calculations.
volume_multiplier: Multiplier used to compare the volume of the current bar with the average volume.
range_multiplier: Multiplier used to calculate the range condition.
highlight_color: Color used to highlight bars when conditions are met.
Calculations:
The script calculates the ATR and average volume using the ta.atr and ta.sma functions provided by TradingView's Pine Script.
It sets the avg_range to the value of the ATR, essentially making it the same as atr_value.
Conditions:
The script checks several conditions based on the calculated values:
range_condition: Compares the range (high - low) of the current bar with the average range multiplied by the range multiplier.
volume_condition: Compares the volume of the current bar with the average volume multiplied by the volume multiplier.
range_volume_condition: Compares the ratio of range to volume with the ratio of average range to average volume.
Plotting:
Based on the conditions being met or not, the script sets the color of the price bars. If all conditions are met, the color of the bars will be set to highlight_color, otherwise, it will remain unchanged (na).
Overall, this script visually highlights price bars on the chart where specific conditions related to range, volume, and their ratio are met, potentially indicating trading opportunities.
Liquidity Heatmap LTF [LuxAlgo]This indicator displays column heatmaps highlighting candle bodies with the highest associated volume from a lower user selected timeframe.
Settings
LTF Timeframe: Lower timeframe used to retrieve the closing/opening price and volume data. Must be lower than the current chart timeframe.
Other settings control the style of the displayed graphical elements.
Usage
It can be of interest to show which candles from a lower timeframe had the highest associated volume, this allows for the highlighting of areas where a candle body was the most traded by market participants.
The area with the highest activity is highlighted in the script with a yellow color (or another user selected color) and additionally by two lines forming an interval.
When the candle body with the highest volume is overlapped by a candle body with lower volume this one will be highlighted instead, hence why certain areas of high activity might not be highlighted by the heatmap.
It is recommended to hide regular candles or use a more discrete graphical presentation of prices when using this tool. Lines are also displayed to highlight the full candle range as well as if a candle was bullish (in green) or bearish (in red). These lines can be hidden if the user is only interested in the heatmap.
[Mad] Level2 Signalfilter Liquidity ProtectionLiquidity Protection Filter:
A Triggerhappy Strategy can do multiple longs/shorts
this is a filter, which forces the close to move minumum in one or the other direction to arm the signal again
there are separated settings for longs/short
input = plot with positive zero or negative value
output = normalized value with pultiplicator factor
also there is a reverse setting
yellow line will show a current alive block
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.
Stophunt WickAcknowledgement
This indicator is dedicated to my friend Alexandru who saved me from one of these liquidation raids which almost liquidated me.
Alexandru is one of the best scalpers out there and he always nails his entries at the tip of these wicks.
This inspired me to create this indicator.
What's a Liquidation Wick?
It's that fast stop-hunting wick that stophunts everyone by triggering their stop-loss and liquidation.
Liquidity is the lifeblood of stock market and liquidation is the process that moves price.
This indicator will identify when a liquidity pool is getting raided to trigger buy or sell stops, they are also know as stop-hunts.
How does it work?
When market consolidates in one direction, it builds up liquidity zones.
Market maker will break out of these consolidation phases by having dramatic price action to either pump or dump to raid these liquidity zones.
This is also called stop-hunts or liquidity raids. After that it will start reversing back to the opposite direction.
This is most noticeable by the length of the wick of a given candle in a very short amount of time and the total size of the candle.
This indicator highlights them accordingly.
Settings
Wick and Candle ratio works with default values but finetune will enhance user experience and usability.
Wick Ratio: Size of the wick compared to body of a candle.
Adjust this to higher ratio on smaller timeframe or smaller ratio on bigger timeframe to your trading style to spot a trend reversal.
Candle Ratio: The size of the candle, by default it is 0.75% of the current price.
For example, if BTC is at 20,000 then the size of the candle has to be minimum 150.
This can be fine tuned to bigger candle size on higher time frames or smaller for shorter timeframe depending on the trade type.
How to use it?
This indicator will identify when a liquidity pool is getting raided to trigger buy or sell stops, they are also know as stop-hunts. It can be used of its own for scalping but there are also a good few indicators which would most definitely help to confluence bigger timeframe trades.
Scalp
This indicator shows the most chaotic moments in price action; therefore it works best on smaller timeframes, ideally 3 or 5 minute candle.
- Wait for the market to start pumping or dumping.
- Current candle will change colour (Bullish/Bearish).
- Enter trade as soon as price starts to reverse back.
- Place the stop-loss outside of the current candle.
- Wait for the Liquidation Wick to appear as confirmation.
Price is very chaotic during a liquidity stop-hunt raid but there is a saying:
"In the midst of chaos, there is also opportunity" - Sun-Tzu
Since this is a very high risk, high reward strategy; it is advised to practice on paper trade first.
Practice until perfection and this indicator would be the perfect bread and butter scalp confirmation.
Fair Value Gap
FVG strategy is the most accurate in conjunction with this indicator.
Normally price would reverse after consuming fair value gaps but often it's difficult to know when and where.
This indicator would identify those crucial entry points for reverse course direction of the price action.
Support and Resistance
This indicator can also be used in conjunction with support and resistance lines.
Generally the stophunt will go deep below the support or spike much further up the resistance lines to liquidate positions.
Bollinger Bands
Bolling Bands strategy would be to wait until the price breaks out of the band.
Once the wick is formed, it would be an ideal entry point.
Script change
This is an open-source script and feel free to modify according to your need and to amplify your existing strategy.
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
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.
Weighted US Liquidity ROC Indicator with FED RatesThe Weighted US Liquidity ROC Indicator is a technical indicator that measures the Rate of Change (ROC) of a weighted liquidity index. This index aggregates multiple monetary and liquidity measures to provide a comprehensive view of liquidity in the economy. The ROC of the liquidity index indicates the relative change in this index over a specified period, helping to identify trend changes and market movements.
1. Liquidity Components:
The indicator incorporates various monetary and liquidity measures, including M1, M2, the monetary base, total reserves of depository institutions, money market funds, commercial paper, and repurchase agreements (repos). Each of these components is assigned a weight that reflects its relative importance to overall liquidity.
2. ROC Calculation:
The Rate of Change (ROC) of the weighted liquidity index is calculated by finding the difference between the current value of the index and its value from a previous period (ROC period), then dividing this difference by the value from the previous period. This gives the percentage increase or decrease in the index.
3. Visualization:
The ROC value is plotted as a histogram, with positive and negative changes indicated by different colors. The Federal Funds Rate is also plotted separately to show the impact of central bank policy on liquidity.
Discussion of the Relationship Between Liquidity and Stock Market Returns
The relationship between liquidity and stock market returns has been extensively studied in financial economics. Here are some key insights supported by scientific research:
Liquidity and Stock Returns:
Liquidity Premium Theory: One of the primary theories is the liquidity premium theory, which suggests that assets with higher liquidity typically offer lower returns because investors are willing to accept lower yields for more liquid assets. Conversely, assets with lower liquidity may offer higher returns to compensate for the increased risk associated with their illiquidity (Amihud & Mendelson, 1986).
Empirical Evidence: Research by Fama and French (1992) has shown that liquidity is an important factor in explaining stock returns. Their studies suggest that stocks with lower liquidity tend to have higher expected returns, aligning with the liquidity premium theory.
Market Impact of Liquidity Changes:
Liquidity Shocks: Changes in liquidity can impact stock returns significantly. For example, an increase in liquidity is often associated with higher stock prices, as it reduces the cost of trading and enhances market efficiency (Chordia, Roll, & Subrahmanyam, 2000). Conversely, a liquidity shock, such as a sudden decrease in market liquidity, can lead to higher volatility and lower stock prices.
Financial Crises: During financial crises, liquidity tends to dry up, leading to sharp declines in stock market returns. For instance, studies on the 2008 financial crisis illustrate how a reduction in market liquidity exacerbated the decline in stock prices (Brunnermeier & Pedersen, 2009).
Central Bank Policies and Liquidity:
Monetary Policy Impact: Central bank policies, such as changes in the Federal Funds Rate, directly influence market liquidity. Lower interest rates generally increase liquidity by making borrowing cheaper, which can lead to higher stock market returns. On the other hand, higher rates can reduce liquidity and negatively impact stock prices (Bernanke & Gertler, 1999).
Policy Expectations: The anticipation of changes in monetary policy can also affect stock market returns. For example, expectations of rate cuts can lead to a rise in stock prices even before the actual policy change occurs (Kuttner, 2001).
Key References:
Amihud, Y., & Mendelson, H. (1986). "Asset Pricing and the Bid-Ask Spread." Journal of Financial Economics, 17(2), 223-249.
Fama, E. F., & French, K. R. (1992). "The Cross-Section of Expected Stock Returns." Journal of Finance, 47(2), 427-465.
Chordia, T., Roll, R., & Subrahmanyam, A. (2000). "Market Liquidity and Trading Activity." Journal of Finance, 55(2), 265-289.
Brunnermeier, M. K., & Pedersen, L. H. (2009). "Market Liquidity and Funding Liquidity." Review of Financial Studies, 22(6), 2201-2238.
Bernanke, B. S., & Gertler, M. (1999). "Monetary Policy and Asset Prices." NBER Working Paper No. 7559.
Kuttner, K. N. (2001). "Monetary Policy Surprises and Interest Rates: Evidence from the Fed Funds Futures Market." Journal of Monetary Economics, 47(3), 523-544.
These studies collectively highlight how liquidity influences stock market returns and how changes in liquidity conditions, influenced by monetary policy and other factors, can significantly impact stock prices and market stability.
Quarterly Theory ICT 05 [TradingFinder] Doubling Theory Signals🔵 Introduction
Doubling Theory is an advanced approach to price action and market structure analysis that uniquely combines time-based analysis with key Smart Money concepts such as SMT (Smart Money Technique), SSMT (Sequential SMT), Liquidity Sweep, and the Quarterly Theory ICT.
By leveraging fractal time structures and precisely identifying liquidity zones, this method aims to reveal institutional activity specifically smart money entry and exit points hidden within price movements.
At its core, the market is divided into two structural phases: Doubling 1 and Doubling 2. Each phase contains four quarters (Q1 through Q4), which follow the logic of the Quarterly Theory: Accumulation, Manipulation (Judas Swing), Distribution, and Continuation/Reversal.
These segments are anchored by the True Open, allowing for precise alignment with cyclical market behavior and providing a deeper structural interpretation of price action.
During Doubling 1, a Sequential SMT (SSMT) Divergence typically forms between two correlated assets. This time-structured divergence occurs between two swing points positioned in separate quarters (e.g., Q1 and Q2), where one asset breaks a significant low or high, while the second asset fails to confirm it. This lack of confirmation—especially when aligned with the Manipulation and Accumulation phases—often signals early smart money involvement.
Following this, the highest and lowest price points from Doubling 1 are designated as liquidity zones. As the market transitions into Doubling 2, it commonly returns to these zones in a calculated move known as a Liquidity Sweep—a sharp, engineered spike intended to trigger stop orders and pending positions. This sweep, often orchestrated by institutional players, facilitates entry into large positions with minimal slippage.
Bullish :
Bearish :
🔵 How to Use
Applying Doubling Theory requires a simultaneous understanding of temporal structure and inter-asset behavioral divergence. The method unfolds over two main phases—Doubling 1 and Doubling 2—each divided into four quarters (Q1 to Q4).
The first phase focuses on identifying a Sequential SMT (SSMT) divergence, which forms when two correlated assets (e.g., EURUSD and GBPUSD, or NQ and ES) react differently to key price levels across distinct quarters. For example, one asset may break a previous low while the other maintains structure. This misalignment—especially in Q2, the Manipulation phase—often indicates early smart money accumulation or distribution.
Once this divergence is observed, the extreme highs and lows of Doubling 1 are marked as liquidity zones. In Doubling 2, the market gravitates back toward these zones, executing a Liquidity Sweep.
This move is deliberate—designed to activate clustered stop-loss and pending orders and to exploit pockets of resting liquidity. These sweeps are typically driven by institutional forces looking to absorb liquidity and position themselves ahead of the next major price move.
The key to execution lies in the fact that, during the sweep in Doubling 2, a classic SMT divergence should also appear between the two assets. This indicates a weakening of the previous trend and adds an extra layer of confirmation.
🟣 Bullish Doubling Theory
In the bullish scenario, Doubling 1 begins with a bullish SSMT divergence, where one asset forms a lower low while the other maintains its structure. This divergence signals weakening bearish momentum and possible smart money accumulation. In Doubling 2, the market returns to the previous low and sweeps the liquidity zone—breaking below it on one asset, while the second fails to confirm, forming a bullish SMT divergence.
f this move is followed by a bullish PSP and a clear market structure break (MSB), a long entry is triggered. The stop-loss is placed just below the swept liquidity zone, while the target is set in the premium zone, anticipating a move driven by institutional buyers.
🟣 Bearish Doubling Theory
The bearish scenario follows the same structure in reverse. In Doubling 1, a bearish SSMT divergence occurs when one asset prints a higher high while the other fails to do so. This suggests distribution and weakening buying pressure. Then, in Doubling 2, the market returns to the previous high and executes a liquidity sweep, targeting trapped buyers.
A bearish SMT divergence appears, confirming the move, followed by a bearish PSP on the lower timeframe. A short position is initiated after a confirmed MSB, with the stop-loss placed
🔵 Settings
⚙️ Logical Settings
Quarterly Cycles Type : Select the time segmentation method for SMT analysis.
Available modes include : Yearly, Monthly, Weekly, Daily, 90 Minute, and Micro.
These define how the indicator divides market time into Q1–Q4 cycles.
Symbol : Choose the secondary asset to compare with the main chart asset (e.g., XAUUSD, US100, GBPUSD).
Pivot Period : Sets the sensitivity of the pivot detection algorithm. A smaller value increases responsiveness to price swings.
Pivot Sync Threshold : The maximum allowed difference (in bars) between pivots of the two assets for them to be compared.
Validity Pivot Length : Defines the time window (in bars) during which a divergence remains valid before it's considered outdated.
🎨 Display Settings
Show Cycle :Toggles the visual display of the current Quarter (Q1 to Q4) based on the selected time segmentation
Show Cycle Label : Shows the name (e.g., "Q2") of each detected Quarter on the chart.
Show Labels : Displays dynamic labels (e.g., “Q2”, “Bullish SMT”, “Sweep”) at relevant points.
Show Lines : Draws connection lines between key pivot or divergence points.
Color Settings : Allows customization of colors for bullish and bearish elements (lines, labels, and shapes)
🔔 Alert Settings
Alert Name : Custom name for the alert messages (used in TradingView’s alert system).
Message Frequenc y:
All : Every signal triggers an alert.
Once Per Bar : Alerts once per bar regardless of how many signals occur.
Per Bar Close : Only triggers when the bar closes and the signal still exists.
Time Zone Display : Choose the time zone in which alert timestamps are displayed (e.g., UTC).
Bullish SMT Divergence Alert : Enable/disable alerts specifically for bullish signals.
Bearish SMT Divergence Alert : Enable/disable alerts specifically for bearish signals
🔵 Conclusion
Doubling Theory is a powerful and structured framework within the realm of Smart Money Concepts and ICT methodology, enabling traders to detect high-probability reversal points with precision. By integrating SSMT, SMT, Liquidity Sweeps, and the Quarterly Theory into a unified system, this approach shifts the focus from reactive trading to anticipatory analysis—anchored in time, structure, and liquidity.
What makes Doubling Theory stand out is its logical synergy of time cycles, behavioral divergence, liquidity targeting, and institutional confirmation. In both bullish and bearish scenarios, it provides clearly defined entry and exit strategies, allowing traders to engage the market with confidence, controlled risk, and deeper insight into the mechanics of price manipulation and smart money footprints.
ICT Immediate Rebalance Toolkit [LuxAlgo]The ICT Immediate Rebalance Toolkit is a comprehensive suite of tools crafted to aid traders in pinpointing crucial trading zones and patterns within the market.
The ICT Immediate Rebalance, although frequently overlooked, emerges as one of ICT's most influential concepts, particularly when considered within a specific context. The toolkit integrates commonly used price action tools to be utilized in conjunction with the Immediate Rebalance patterns, enriching the capacity to discern context for improved trading decisions.
The ICT Immediate Rebalance Toolkit encompasses the following Price Action components:
ICT Immediate Rebalance
Buyside/Sellside Liquidity
Order Blocks & Breaker Blocks
Liquidity Voids
ICT Macros
🔶 USAGE
🔹 ICT Immediate Rebalance
What is an Immediate Rebalance?
Immediate rebalances, a concept taught by ICT, hold significant importance in decision-making. To comprehend the concept of immediate rebalance, it's essential to grasp the notion of the fair value gap. A fair value gap arises from market inefficiencies or imbalances, whereas an immediate rebalance leaves no gap, no inefficiencies, or no imbalances that the price would need to return to.
Rule of Thumb
After an immediate rebalance, the expectation is for two extension candles to follow; otherwise, the immediate rebalance is considered failed. It's important to highlight that both failed and successful immediate rebalances, when considered within a context, are significant signatures in trading.
Immediate rebalances can occur anywhere and in any timeframe.
🔹 Buyside/Sellside Liquidity
In the context of Inner Circle Trader's teachings, liquidity primarily refers to the presence of stop losses or pending orders, that indicate concentrations of buy or sell orders at specific price levels. Institutional traders, like banks and large financial entities, frequently aim for these liquidity levels or pools to accumulate or distribute their positions.
Buyside liquidity denotes a chart level where short sellers typically position their stops, while Sellside liquidity indicates a level where long-biased traders usually place their stops. These zones often serve as support or resistance levels, presenting potential trading opportunities.
The presentation applied here is the multi-timeframe version of our previously published Buyside-Sellside-Liquidity script.
🔹 Order Blocks & Breaker Blocks
Order Blocks and Breaker Blocks hold significant importance in technical analysis and play a crucial role in shaping market behavior.
Order blocks are fundamental elements of price action analysis used by traders to identify key levels in the market where significant buying or selling activity has occurred. These blocks represent areas on a price chart where institutional traders, banks, or large market participants have placed substantial buy or sell orders, leading to a temporary imbalance in supply and demand.
Breaker blocks, also known as liquidity clusters or pools, complement order blocks by identifying zones where liquidity is concentrated on the price chart. These areas, formed from mitigated order blocks, often act as significant barriers to price movement, potentially leading to price stalls or reversals in the future.
🔹 Liquidity Voids
Liquidity voids are sudden price changes when the price jumps from one level to another. Liquidity voids will appear as a single or a group of candles that are all positioned in the same direction. These candles typically have large real bodies and very short wicks, suggesting very little disagreement between buyers and sellers.
Here is our previously released Liquidity-Voids script.
🔹 ICT Macros
In the context of ICT's teachings, a macro is a small program or set of instructions that unfolds within an algorithm, which influences price movements in the market. These macros operate at specific times and can be related to price runs from one level to another or certain market behaviors during specific time intervals. They help traders anticipate market movements and potential setups during specific time intervals.
Here is our previously released ICT-Macros script.
🔶 SETTINGS
🔹 Immediate Rebalances
Immediate Rebalances: toggles the visibility of the detected immediate rebalance patterns.
Bullish, and Bearish Immediate Rebalances: color customization options.
Wicks 75%, %50, and %25: color customization options of the wick price levels for the detected immediate rebalance.
Ignore Price Gaps: ignores price gaps during calculation.
Confirmation (Bars): specifies the number of bars required to confirm the validation of the detected immediate rebalance.
Immediate Rebalance Icon: allows customization of the size of the icon used to represent the immediate rebalance.
🔹 Buyside/Sellside Liquidity
Buyside/Sellside Liquidity: toggles the visibility of the buy-side/sell-side liquidity levels.
Timeframe: this option is to identify liquidity levels from higher timeframes. If a timeframe lower than the chart's timeframe is selected, calculations will be based on the chart's timeframe.
Detection Length: lookback period used for the detection.
Margin: sets margin/sensitivity for the liquidity levels.
Buyside/Sellside Liquidity Color: color customization option for buy-side/sell-side liquidity levels.
Visible Liquidity Levels: allows customization of the visible buy-side/sell-side liquidity levels.
🔹 Order Blocks & Breaker Blocks
Order Blocks: toggles the visibility of the order blocks.
Breaker Blocks: toggles the visibility of the breaker blocks.
Swing Detection Length: lookback period used for the detection of the swing points used to create order blocks & breaker blocks.
Mitigation Price: allows users to select between the closing price or the wick of the candle.
Use Candle Body in Detection: allows users to use candle bodies as order block areas instead of the full candle range.
Remove Mitigated Order Blocks & Breaker Blocks: toggles the visibility of the mitigated order blocks & breaker blocks.
Order Blocks: Bullish, Bearish Color: color customization option for order blocks.
Breaker Blocks: Bullish, Bearish Color: color customization option for breaker blocks.
Visible Order & Breaker Blocks: allows customization of the visible order & breaker blocks.
Show Order Blocks & Breaker Blocks Labels: toggles the visibility of the order blocks & breaker blocks labels.
🔹 Liquidity Voids
Liquidity Voids: toggles the visibility of the liquidity voids.
Liquidity Voids Width Filter: filtering threshold while detecting liquidity voids.
Ignore Price Gaps: ignores price gaps during calculation.
Remove Mitigated Liquidity Voids: remove mitigated liquidity voids.
Bullish, Bearish, and Mitigated Liquidity Voids: color customization option..
Liquidity Void Labels: toggles the visibility of the liquidity voids labels.
🔹 ICT Macros
London and New York (AM, Launch, and PM): toggles the visibility of specific macros, allowing users to customize macro colors.
Macro Top/Bottom Lines, Extend: toggles the visibility of the macro's pivot high/low lines and allows users to extend the pivot lines.
Macro Mean Line: toggles the visibility of the macro's mean (average) line.
Macro Labels: toggles the visibility of the macro labels, allowing customization of the label size.
🔶 RELATED SCRIPTS
ICT-Killzones-Toolkit
Smart-Money-Concepts
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
ICT Liquidity Levels [TakingProphets]Overview
This indicator is designed to dynamically identify and display key liquidity levels—areas where market participants are likely to engage. By analyzing price swing points, it highlights potential support and resistance zones that can signal reversals or breakouts. The script distinguishes between buyside and sellside liquidity levels, presenting them with customizable visual cues and labels for immediate clarity.
How It Works
Swing Point Detection:
The indicator uses a pivot-based method (with a configurable “Base Swing Strength”) to detect swing highs and lows. Each detected swing is evaluated for its “swing size” (percentage price movement), and if it exceeds a user-defined threshold, the level is classified as major.
Level Creation and Classification:
Overview
Built on core ICT principles, this indicator identifies key liquidity zones—areas where market imbalances can lead to liquidity sweeps. By dynamically analyzing swing points, it offers traders a real-time view of where liquidity is clustering, allowing for a deeper understanding of market structure. 🚀
How It Works
Swing Point Detection 🔍
• Uses a pivot-based method with a configurable “Base Swing Strength” to detect significant price swings.
• Calculates the swing size (percentage change) to flag zones that exceed the “Major Level Threshold” as major liquidity zones.
Level Creation & Classification 🛠️
• Buyside Liquidity Levels (BSL):
Identified from swing highs, marking zones where buying liquidity clusters.
• Sellside Liquidity Levels (SSL):
Identified from swing lows, highlighting zones of concentrated selling liquidity.
• Each zone is stored with its price, bar index, and classification (major or standard) before being drawn as a horizontal line on the chart.
Dynamic Level Management 🔄
• Extension: Liquidity lines automatically extend from their detection point to the current bar.
• Consolidation: When levels are close in price, the script merges them—updating labels (e.g., “REQH” or “REQL”) to denote unified liquidity zones.
• Traded-Through Detection: Adjusts or removes levels if the market moves beyond them, based on your settings.
• Age-Based Cleanup: Inactive zones are automatically removed after a set number of bars to maintain clarity.
Customization Options ⚙️
Visual Settings:
• Choose from solid, dashed, or dotted line styles and adjust line width.
• Option to display labels with customizable placement (left or right) for optimal clarity.
Color & Opacity:
• Set distinct colors for buyside and sellside liquidity zones.
• Configure opacity for zones that have been traded through, keeping them visible yet de-emphasized.
Detection & Cleanup Parameters:
• Adjust “Base Swing Strength” to control pivot detection sensitivity.
• Set the “Major Level Threshold %” to filter for significant liquidity zones.
• Decide whether to retain or remove zones once price moves through them.
• Define how many bars should pass before inactive zones are automatically deleted.
How to Use 🚀
Apply the Indicator:
Simply add the script to your chart—it automatically detects and marks key liquidity zones based on recent price action.
Adjust Inputs:
Fine-tune parameters like swing strength, threshold percentages, and visual settings to match the asset’s characteristics and your trading strategy.
Interpret the Visuals:
• Major Liquidity Zones:
Highlighted with thicker lines and distinct labels (e.g., “Major BSL/SSL”), indicating areas of heightened liquidity concentration.
• Consolidated Zones:
Merged labels (e.g., “REQH/REQL”) denote unified liquidity zones where clustering is significant.
• Traded-Through Zones:
Changes in opacity signal that the market has moved beyond a previously identified liquidity zone.
Underlying ICT Concepts 💡
Liquidity Pools & Sweeps:
Focused on identifying where liquidity is concentrated, the indicator aligns with ICT methodologies that highlight zones crucial for liquidity sweeps.
Pivot Analysis for Liquidity:
Enhances traditional pivot detection to spotlight liquidity clusters, providing a deeper insight into market structure.
Real-Time Adaptation:
With continuous updates and built-in cleanup, the indicator ensures that liquidity zones accurately reflect current market conditions.
