Liquidity Trend & Squeeze RadarThe Liquidity Trend & Squeeze Radar is a comprehensive trading system designed to visualize the three most critical components of price action: Trend, Volatility, and Momentum. The core philosophy of this tool is to identify periods of market "compression" (low volatility), where energy builds up, and then signal when that energy is released (expansion) for a potential breakout trade. It combines an EMA Cloud for trend direction with a TTM-style Squeeze indicator and a linear regression momentum filter.
Key Components
Trend Cloud (Structure) This component identifies the overall market bias. It uses a Fast EMA and a Slow EMA to create a shaded "Cloud."
Uptrend: The Fast EMA is above the Slow EMA. The Cloud is shaded green (default).
Downtrend: The Fast EMA is below the Slow EMA. The Cloud is shaded red (default).
Usage: Generally, traders should look to take Long signals only when the Trend Cloud is bullish and Short signals when the Trend Cloud is bearish.
Volatility Radar (The Squeeze) This logic detects when the market enters a period of low volatility. It calculates this by comparing Bollinger Bands (Expansion) against Keltner Channels (Average Range).
Squeeze Active: When the Bollinger Bands narrow and go inside the Keltner Channels, a "Squeeze" is active. This is represented by gray dots plotted along the Fast EMA and gray-colored price candles.
Usage: Do not trade during a Squeeze. This indicates indecision and chop. Treat this as a "Wait" signal while potential energy builds.
Momentum Filter (Hidden Logic) While the Squeeze is active, the script calculates the underlying momentum using Linear Regression. This predicts the likely direction of the breakout before it happens. This data is displayed in the Dashboard.
Breakout Signals (Fire) When the Squeeze condition ends (volatility expands), the script checks the Momentum filter.
Bullish Breakout: If the Squeeze ends and Momentum is positive, a triangle pointing up is plotted below the bar.
Bearish Breakout: If the Squeeze ends and Momentum is negative, a triangle pointing down is plotted above the bar.
Status Dashboard A table located in the top-right corner provides a real-time summary of the market state without needing to interpret the chart visuals manually. It lists the current Trend direction, Volatility state (Squeeze vs. Expansion), and Momentum value (Positive vs. Negative).
How to Trade This Indicator
Step 1: Identify the Trend Observe the background Cloud. Ensure you are trading in the direction of the dominant flow. If the Cloud is green, favor Longs. If red, favor Shorts.
Step 2: Wait for the Squeeze Look for the gray dots to appear on the moving average line and for the candles to turn gray. This indicates the market is resting and building energy. During this phase, you are stalking the trade. Avoid entering positions while the gray dots remain visible.
Step 3: The Breakout (The Trigger) Wait for the gray dots to disappear. This means the Squeeze has "Fired."
Long Entry: Look for a Triangle Up signal. Ideally, this should occur when the Trend Cloud is green.
Short Entry: Look for a Triangle Down signal. Ideally, this should occur when the Trend Cloud is red.
Step 4: Confirmation Check the Dashboard table. High-probability trades occur when all three metrics align (e.g., Trend is BULL, Volatility is EXPANSION, and Momentum is POSITIVE).
Settings Guide
Trend Structure:
Fast/Slow EMA Length: Adjusts the sensitivity of the Trend Cloud. Higher numbers effectively smooth out noise but react slower to trend changes.
Show Trend Cloud: Toggles the shaded area between EMAs on or off.
Volatility Radar:
Bollinger/Keltner Settings: These define the Squeeze sensitivity.
Keltner Mult: The most important setting. The default is 1.5. Lowering this to 1.0 will make the Squeeze harder to trigger (requiring extreme compression), leading to fewer but potentially more explosive signals.
Momentum:
Momentum Length: The lookback period for the linear regression calculation used to determine breakout direction.
Visuals:
Colorize Candles: Paints the price bars based on the current state (Gray for Squeeze, Green/Red for Trend).
Show Dashboard: Toggles the visibility of the data table.
Disclaimer This indicator and guide are for educational and informational purposes only. They do not constitute financial, investment, or trading advice. Trading in financial markets involves a significant risk of loss and is not suitable for every investor. Past performance of any trading system or methodology is not necessarily indicative of future results. The user assumes all responsibility for any trades made using this tool. Always use proper risk management.
Поиск скриптов по запросу "liquidity"
Liquidity Spectrum Visualizer (with option volume)This the Liquidity Spectrum Visualizer from BigBeluga, BUT, I took the script and changed it a little bit.
I added the ability to add option volume for a contract of your choosing. You can turn this off with a toggle switch.
If you are looking at option volume, its better to look at it on a smaller time frame (i.e., 15-min).
##Liquidity weighted Supertrend with MA Ribbon by AngelVery useful 2 indicators in 1. 2 liquidity weighted supertrends; all customizable settings to your likings and a 4 ma ribbon. MA 1 and 2 gives you buy/sell signal on the crossover and added a background trend color change for easy visual of price trend! enjoy!
Liquidity Sweep This indicator is a precision ICT Liquidity Sweep Detector. It:
✔ Finds real swing highs and lows
✔ Detects true stop runs
✔ Verifies strong wick rejection
✔ Confirms reversals
✔ Filters out weak/noisy wicks
✔ Avoids repeated/clustered sweeps
✔ Shows only the best most recent sweep
✔ Displays arrow + label + line cleanly
Liquidity GrabsLevels of untapped internal liquidity, waiting to be reclaimed. Works on any timeframe.
Liquidity Pool TimesThis script automatically plots key liquidity pool times on your chart. I will release an updated script that plots the names on the far right when i can figure it out. Until then you will see Monthly Open/Close Weekly Open/Close and Midnight/10AM open
Liquidity Hunter | LucentCapitalFor LucentCapital Team Members
Translates the order book in a visual, historical & data-driven format.
Highlights Liquidity Depth, your visual guide to the order book. See where leveraged traders are most exposed and define your edge.
Levels are based on leverage onto positions & is adaptive based on the security, factoring in naturally leveraged products available to all traders globally.
Liquidity Depth - TitanWealth AlgorithmTranslates the order book in a visual, historical & data-driven format.
Highlights Liquidity Depth, your visual guide to the order book. See where leveraged traders are most exposed and define your edge.
Levels are based on leverage onto positions & is adaptive based on the security, factoring in naturally leveraged products available to all traders globally.
Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders.
It automatically finds and plots three key structures on your chart:
Liquidity Levels – swing highs & lows that often get targeted by price.
Fair-Value Gaps (FVG) – inefficient price gaps between candles.
Order-Blocks (OB) – zones created by strong, high-volume impulsive candles.
It also provides alerts and a small information table so you can quickly gauge the current market context.
Liquidity levels + Order BlocksThis script mark liquidity levels, and monthly, weekly and daily candle open. The order blocks indicator is on construction.
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 Sweep & Encroachment [Clean Labels]It basically tries to track when a liquidity sweep has been detected based off of volume and volatility of candles. This indicator is in beta and works well with mostly 1-2 minute chart I still have to work on higher time frames.
Liquidity Finder v2.0Description:
The Liquidity Finder v2.0 is a powerful technical indicator designed to identify divergence between volume and price movements in financial markets. Divergence occurs when there is a significant disparity between trading volume and price action, often signaling potential changes in market direction or trends.
This indicator calculates the relative volume and relative price change over a user-defined lookback period. Relative volume is determined by comparing the current volume to the average volume over the specified period, while relative price change compares the current price change to the average price change over the same period.
Key Features:
Customizable parameters allow users to adjust the lookback period, volume threshold, and price threshold to suit their trading preferences.
Divergence detection is visually represented by changing the color of price bars, making it easy for traders to identify potential trading opportunities.
Alerts can be set to notify traders when divergence is detected, enabling timely decision-making and trade execution.
The Volume-Price Divergence Detector is a valuable tool for traders and investors seeking to enhance their technical analysis toolkit. By spotting divergence between volume and price movements, traders can anticipate potential trend reversals or continuations, leading to more informed trading decisions and improved trading outcomes.
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 Salman v1his code is used to show trading signals based on liquidity, volatility, and trend indicators. A "buy" signal is defined if the positive money flow indicator exceeds the negative money flow indicator and the price is above a specified moving average for a set period. A "sell" signal is defined if the negative money flow indicator exceeds the positive money flow indicator and the price is below the specified moving average for a set period. A "ranging" signal is defined if the Average True Range (ATR) value is less than a specified value. Buy and sell shapes are plotted on the chart with their colors and locations changed based on the direction.
Some advantages of this code:
Multiple indicators are used to define signals, increasing the accuracy of the analysis.
Customizable variables such as moving average period, timeframe, and range threshold can be adjusted to suit the user's trading strategy.
Shapes' positions, types, colors, and conditions can be easily defined using plotshape.
request.security is used to fetch volume data from the main currency's timeframe, increasing the accuracy of the analysis and allowing the use of smaller timeframes for trading.
math.sum is used to calculate the money flow indicators. This method is faster than using traditional for loops.
input is used to create a user-friendly interface where settings can be adjusted before running the program.
والتذبذب والاتجاه. يتم تحديد إشارة "شراء" إذا كان مؤشر تدفق الأموال الإيجابي يتجاوز المؤشر السلبي ويزيد السعر عن المتوسط المتحرك لفترة محددة. ويتم تحديد إشارة "بيع" إذا كان المؤشر السلبي يتجاوز المؤشر الإيجابي ويقل السعر عن المتوسط المتحرك لفترة محددة. ويتم تحديد إشارة "تذبذب" إذا كانت قيمة مؤشر ATR (Average True Range) أقل من قيمة محددة. يتم رسم أشكال الشراء والبيع على الرسم البياني مع تغيير لونها وموضعها حسب الاتجاه.
من بين مزايا الكود:
يستخدم مؤشرات متعددة لتحديد الإشارات، مما يزيد من دقة التحليل.
يتيح للمستخدم تخصيص عدة متغيرات، مثل فترة المتوسط المتحرك وفترة الزمن وعتبة النطاق، لتناسب استراتيجية التداول الشخصية.
يتيح للمستخدم تحديد مواقع الأشكال وأنواعها وألوانها وشروط ظهورها بسهولة باستخدام plotshape.
يتم استخدام request.security لجلب بيانات الحجم من فريم العملة الرئيسي، مما يزيد من دقة التحليل ويفتح إمكانية استخدام الإطار الزمني الأصغر للتداول.
يتم استخدام math.sum لحساب مؤشرات التدفق النقدي. يعمل هذا الأسلوب بشكل أسرع من استخدام حلقات for التقليدية.
تم استخدام input لإنشاء واجهة مستخدم مريحة للمستخدم، حيث يمكنه تخصيص الإعدادات قبل تشغيل البرنامج.
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
APS - Sweeps & BOSThis indicator identifies pivot highs and lows, detects liquidity sweeps, and marks Break of Structure (BOS).
Key Features:
1) Pivot Detection :
The script uses configurable left and right bar parameters to identify significant pivot highs and lows, marking them with "X" labels on the chart. These pivots represent potential areas where price may react.
2) Sweep Detection :
A sweep occurs when price temporarily moves beyond a previous pivot level but closes back inside, suggesting a liquidity grab or stop hunt. The indicator draws horizontal lines connecting the original pivot to the sweep location and labels these events. Sweeps often precede reversals as they collect liquidity before moving in the opposite direction.
3) Break of Structure (BOS) :
BOS events are marked when price closes beyond a previous pivot level, indicating a potential shift in market structure. Bullish BOS occurs when price closes above a pivot high, while Bearish BOS occurs when price closes below a pivot low. These can signal continuation moves or trend changes.
4) Previous Day High/Low (PDH/PDL):
The indicator tracks the previous session's high and low (based on 6 PM ET session breaks, which auto-adjusts for DST) and displays whether these levels have been breached. It also calculates and displays a 50% equilibrium line between PDH and PDL.
5) Higher Timeframe Context :
A table in the top-right corner shows whether the higher timeframe close is in premium (above equilibrium) or discount (below equilibrium) territory. The HTF automatically adjusts based on your current timeframe.
6) Customization Options:
Adjustable pivot sensitivity (left/right bars)
Configurable sweep lookback period
Customizable colors, line styles, and label sizes for all elements
Toggle visibility for any component
Optional alerts for sweeps and BOS events
How to Use:
Sweeps near support/resistance often indicate liquidity grabs before reversals
BOS events can confirm directional bias changes
Use PDH/PDL levels as reference points for intraday trading
Consider HTF context when taking trades (discount zones for longs, premium zones for shorts)
Important Notes:
This indicator is designed for educational purposes and market analysis. Past patterns do not guarantee future results. Please follow proper risk management.
Fed Balance Sheet vs GDP RatioThis indicator tracks the size of the Federal Reserve’s Balance Sheet relative to the total US Economy (Nominal GDP). It serves as a primary gauge for systemic liquidity and the extent of monetary intervention in the markets.
How it Works: The script calculates the ratio between:
Fed Total Assets (FRED:WALCL) - The total amount of bonds and assets held by the Fed.
US Nominal GDP (FRED:GDP) - The annualized economic output of the US.
How to Read the Levels: I have plotted historical reference lines to help contextualize the current cycle:
🔴 35% (Pandemic Peak): The absolute high of monetary stimulus (2020–2022). This represents maximum liquidity, where the Fed "printed" massive amounts of money to support the economy.
🟠 ~20% (The "Danger Zone"): This was the range established after the 2008 Financial Crisis (2014–2019). Watch this level closely. In late 2019, when the Fed tried to push the ratio below ~18%, the banking plumbing broke (the Repo Crisis), forcing them to restart QE. We are currently approaching this level again.
⚪ 6% (Pre-2008 Normal): The historical baseline before the era of Quantitative Easing (QE) began.
Why This Matters:
Rising Ratio: Suggests the Fed is expanding liquidity (QE) faster than the economy is growing. Historically, this is a tailwind for risk assets (Stocks, Crypto).
Falling Ratio: Suggests the Fed is tightening (QT) or the economy is outgrowing the money supply. This represents a headwind for liquidity and risk assets.
Methodology Note:
Data Source: Federal Reserve Economic Data (FRED).
Calculation: No manual annualization is applied to GDP, as FRED:GDP is already reported as a Seasonally Adjusted Annual Rate (SAAR).
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.
