ICT Order Blocks HTFICT Order Blocks HTF (with Parent Swing Confirmation)
This indicator is a powerful tool designed to identify high-probability Higher-Timeframe (HTF) Order Blocks by confirming them with significant liquidity sweeps on your trading chart. It combines two core ICT (Inner Circle Trader) concepts to filter out noise and highlight only the most sensitive areas.
The Core Concept: A High-Probability Model
The most powerful trading setups often occur when a significant event on a lower timeframe happens at a key area on a higher timeframe. This indicator automates that analysis by looking for a specific confluence:
A Liquidity Sweep (LTF): First, it identifies a "Parent Swing" on your current chart. This is a significant swing high (BSL - Buy Side Liquidity) or swing low (SSL - Sell Side Liquidity) that has been validated by a market structure shift. These are the key liquidity pools the market targets.
An Order Block (HTF): Separately, it looks at a higher timeframe of your choice (e.g., 15m, 1H) to find institutional order blocks—the last up or down candle before a strong move.
The Confluence: The magic happens here. The indicator will only draw an HTF order block on your chart if it forms at the exact moment the price is interacting with one of the BSL or SSL liquidity pools from your current chart.
This dual confirmation provides a refined, high-probability signal, indicating that a major liquidity event is fueling a reaction from a significant HTF level.
What the Indicator Does
Identifies Parent Swings: In the background, it constantly tracks and identifies BSL (red lines) and SSL (green lines) on your chart.
Finds HTF Order Blocks: It looks for bullish (last down-candle) and bearish (last up-candle) order blocks on the higher timeframe you select.
Draws Confirmed Zones: It draws a Bullish OB (Blue Box) only when an HTF bullish order block forms at an SSL level. It draws a Bearish OB (Orange Box) only when an HTF bearish order block forms at a BSL level.
Marks Key Levels: Each order block is automatically drawn with dashed lines marking its high, low, and midpoint (50% level) for precise entry and risk management.
Real-Time Invalidation: The order blocks extend into the future and are tracked in real-time. If price closes through a block a specified number of times, the zone is considered invalid and will be dimmed, keeping your chart clean.
How to Use This Indicator
The primary use for this indicator is to identify high-probability entry zones.
When a Bullish Order Block (Blue) appears, it signals a potential area of demand where you might look for long entries.
When a Bearish Order Block (Orange) appears, it signals a potential area of supply where you might look for short entries.
The internal lines (high, low, midpoint) can be used for more precise entries or for setting stop-loss levels.
Settings
Higher Timeframe for Order Blocks: Choose the HTF you want the indicator to analyze for order blocks (e.g., 15m, 1H, 4H).
OB Invalidation Threshold: Set how many times price must close fully through an order block before it is considered invalid.
Parent Swing Settings: You can adjust the lookback periods and invalidation threshold for the BSL/SSL detection to match your trading style. A larger lookback will find more significant liquidity pools.
Disclaimer: This indicator is a tool to assist in technical analysis. It is not a standalone trading system and does not provide financial advice. Always use proper risk management and combine this tool with your own analysis and trading strategy.
In den Scripts nach "liquidity" suchen
Liqudation HeatMap [BigBeluga]🔵 OVERVIEW
An advanced liquidity visualization tool that plots horizontal heat zones to highlight where potential liquidations and volume clusters are most likely hiding beneath price action.
Liqudation HeatMap scans historical price movements for local highs and lows with elevated volume or candle range. It then draws dynamic heatmap boxes—shaded from lime (low interest) to yellow (high interest)—revealing potential zones of trapped positions or stop clusters. A vertical scale on the right shows you the relative strength of volume behind each level, from 0 to the highest detected.
🔵 CONCEPTS
Maps areas of potential liquidity using volume or candle range (if volume is unavailable).
Identifies swing highs/lows (pivots) and extends heatmap boxes outward from these levels. Colors each zone based on the relative strength of volume concentration.
Fades or removes zones once price crosses their midpoints, simulating the idea of liquidity being “consumed.”
Displays a live vertical scale that shows the volume range for quick reference.
🔵 FEATURES
Dynamic Heatmap Zones:
Draws few boxes above and after pivot highs and below pivot lows, each shaded based on volume concentration.
Smart Coloring System:
Uses a gradient from lime (low) to yellow (high) to visually distinguish between weak and strong liquidity zones.
Adaptive ATR Widths:
Automatically adjusts zone thickness based on volatility (ATR), scaling intelligently across timeframes.
Liquidity Consumption Logic:
Zones are stope extending once price interacts with them—mimicking the behavior of real liquidation sweeps.
Volume Scale Legend:
A real-time scale is plotted on the right side, showing the min-max range of volume used for heat calculations.
🔵 HOW TO USE
Look for thick yellow zones to identify areas of concentrated stop losses or liquidation triggers.
Use these levels to anticipate mean reversion points or high-volatility zones.
Combine with your trend or structure tools to trade into or fade these liquidity pools.
On lower timeframes, use this tool to confirm entries around sweeps or deviations.
Use the right-side scale to compare relative zone strength instantly.
🔵 CONCLUSION
Liqudation HeatMap is a powerful visualization tool that uncovers where liquidity likely resides on the chart. By highlighting hidden traps and reactive levels in real-time, it gives traders a significant edge when it comes to spotting stop hunts, mean reversions, and areas of institutional interest. Whether you’re scalping or swing trading, this heatmap provides unmatched context on the market’s hidden intent.
MTF Fractals [RunRox]🔽 MTF Fractals is a powerful indicator designed to visualize fractals from multiple timeframes directly on your chart, highlight liquidity sweeps at these fractal levels, and provide several additional features we’ll cover in detail below.
We created this indicator because we couldn’t find a suitable tool that met our specific needs on TradingView. Therefore, we decided to develop a valuable indicator for the entire TradingView community, combining simplicity and versatility.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📙 FRACTAL FORMATION
Here’s how fractals form depending on your chosen setting (3, 5, 7, or 9):
▶️ 3-bar fractal – forms when the central candle is higher (for highs) or lower (for lows) than one candle on each side.
▶️ 5-bar fractal – forms when the central candle is higher or lower than two candles on both sides.
▶️ 7-bar fractal – forms when the central candle is higher or lower compared to the three candles on each side.
▶️ 9-bar fractal – forms similarly but requires four candles on each side, making the fractal significantly more reliable and robust.
A higher number of bars ensures stronger fractal levels, highlighting more significant potential reversal points on the chart.
Now that we’ve covered the theory behind fractal formation, let’s explore the indicator’s functionality in more detail.
Below, I’ll explain each feature clearly and illustrate how you can effectively utilize this indicator in your trading.
🕐 MULTI-TIMEFRAME FRACTALS
We realized that displaying fractals only from the current timeframe isn’t always convenient, so we’ve introduced Multi-Timeframe Fractals into this indicator.
Now you can easily display fractals from higher timeframes directly on your current chart, providing you with broader market context and clearer trading signals.
Fractals from Current Timeframe – Fractals identified directly on the chart’s current timeframe.
Fractals from Higher Timeframes – Fractals sourced from higher timeframes and displayed clearly on your current chart for enhanced market perspective.
📈 FRACTAL LINES
Since fractals represent areas of high liquidity, we’ve added an option to extend fractal levels horizontally as Fractal Lines across your chart.
This feature allows you to clearly visualize critical liquidity areas from higher timeframes, directly on your current timeframe chart, as demonstrated in the screenshot below.
With this approach, you can clearly visualize significant fractal levels from higher timeframes directly on your current chart - for example, projecting fractals from the 1-hour (1H) timeframe onto a 3-minute (3m) chart. ✅ This helps you easily identify critical liquidity areas and potential reversal zones without the need to switch between multiple timeframes.
💰 LIQUDITY SWEEP (LIQUDITY GRAB)
To enhance your trading experience, we’ve introduced a feature that clearly identifies liquidity sweeps of fractal levels.
A Liquidity Sweep occurs when a candle closes beyond a fractal line, leaving a wick that pierces through it, signaling that liquidity has been collected at this level.
Below, you’ll find two examples illustrating this functionality:
▶️ Fractal lines from the current timeframe
▶️ Fractal lines projected from higher timeframes
The first example illustrates liquidity being swept from fractals on the current timeframe .
Here, the candle clearly closes beyond the fractal line, leaving a wick through it. This indicates a liquidity sweep at the fractal level, visually highlighting a potential reversal or continuation opportunity directly on your chart.
In the second example, fractals from the higher timeframe are projected onto your current chart.
When a candle on your current timeframe closes beyond an HTF fractal line - leaving a wick through this level - the indicator highlights it clearly. This signals to traders a potential reversal zone, indicating that liquidity has been swept, and price may reverse or significantly react from this area.
You can also enable the display of additional labels on the chart. These labels clearly mark liquidity sweeps at fractal levels, making it easier to visually identify potential reversal points directly on your chart.
⚙️ SETTINGS
Below are the indicator settings with detailed explanations for each parameter.
🔷 Bars in Fractal – Number of candles to the right and left required to form a fractal.
🔷 Fractal Timeframe – Select the timeframe from which you want to display fractals on the current chart.
🔷 Max Age, bars – Number of bars during which the fractal will remain active.
🔷 Show Fractal Line – Display or hide fractal lines.
🔷 Line Style – Choose the style of the line displayed on the chart.
🔷 Line Width – Thickness of the fractal line.
🔷 High Fractal – Style and color of bearish fractals.
🔷 Low Fractal – Style and color of bullish fractals.
🔷 Fractal Label Size – Select the size of fractal labels.
🔷 Show Sweep Labels – Option to display labels when a liquidity sweep occurs.
🔷 Label Color – Color and transparency of the area marked on the chart during a sweep.
🔷 Shade Sweep Area – Show or hide the sweep area shading.
🔷 Area Color – Color and transparency settings for the sweep area.
🔶 We’d love to hear your feedback and any suggestions for additional features you’d like to see in this indicator. We’ll be happy to consider your ideas and continue improving the indicator!
Cryptolabs Global Liquidity Cycle Momentum IndicatorCryptolabs Global Liquidity Cycle Momentum Indicator (LMI-BTC)
This open-source indicator combines global central bank liquidity data with Bitcoin price movements to identify medium- to long-term market cycles and momentum phases. It is designed for traders who want to incorporate macroeconomic factors into their Bitcoin analysis.
How It Works
The script calculates a Liquidity Index using balance sheet data from four central banks (USA: ECONOMICS:USCBBS, Japan: FRED:JPNASSETS, China: ECONOMICS:CNCBBS, EU: FRED:ECBASSETSW), augmented by the Dollar Index (TVC:DXY) and Chinese 10-year bond yields (TVC:CN10Y). This index is:
- Logarithmically scaled (math.log) to better represent large values like central bank balances and Bitcoin prices.
- Normalized over a 50-period range to balance fluctuations between minimum and maximum values.
- Compared to prior-year values, with the number of bars dynamically adjusted based on the timeframe (e.g., 252 for 1D, 52 for 1W), to compute percentage changes.
The liquidity change is analyzed using a Chande Momentum Oscillator (CMO) (period: 24) to measure momentum trends. A Weighted Moving Average (WMA) (period: 10) acts as a signal line. The Bitcoin price is also plotted logarithmically to highlight parallels with liquidity cycles.
Usage
Traders can use the indicator to:
- Identify global liquidity cycles influencing Bitcoin price trends, such as expansive or restrictive monetary policies.
- Detect momentum phases: Values above 50 suggest overbought conditions, below -50 indicate oversold conditions.
- Anticipate trend reversals by observing CMO crossovers with the signal line.
It performs best on higher timeframes like daily (1D) or weekly (1W) charts. The visualization includes:
- CMO line (green > 50, red < -50, blue neutral), signal line (white), Bitcoin price (gray).
- Horizontal lines at 50, 0, and -50 for improved readability.
Originality
This indicator stands out from other momentum tools like RSI or basic price analysis due to:
- Unique Data Integration: Combines four central bank datasets, DXY, and CN10Y as macroeconomic proxies for Bitcoin.
- Dynamic Prior-Year Analysis: Calculates liquidity changes relative to historical values, adjustable by timeframe.
- Logarithmic Normalization: Enhances visibility of extreme values, critical for cryptocurrencies and macro data.
This combination offers a rare perspective on the interplay between global liquidity and Bitcoin, unavailable in other open-source scripts.
Settings
- CMO Period: Default 24, adjustable for faster/slower signals.
- Signal WMA: Default 10, for smoothing the CMO line.
- Normalization Window: Default 50 periods, customizable.
Users can modify these parameters in the Pine Editor to tailor the indicator to their strategy.
Note
This script is designed for medium- to long-term analysis, not scalping. For optimal results, combine it with additional analyses (e.g., on-chain data, support/resistance levels). It does not guarantee profits but supports informed decisions based on macroeconomic trends.
Data Sources
- Bitcoin: INDEX:BTCUSD
- Liquidity: ECONOMICS:USCBBS, FRED:JPNASSETS, ECONOMICS:CNCBBS, FRED:ECBASSETSW
- Additional: TVC:DXY, TVC:CN10Y
ICTProTools | ICT Insight - Momentum Structures🚀 INTRODUCTION
The Momentum Structures Indicator builds upon the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC) to give traders a clearer view of market dynamics. These methods reveal how institutional trading activity shapes price movements, particularly through different types of market liquidity.
The indicator is designed to provide traders with advanced insights into market dynamics by focusing on key price imbalances and higher-timeframe structures . By combining these elements, the indicator allows users to analyze price behavior across multiple timeframes, helping them anticipate potential liquidity pools and price reversals. The emphasis on price imbalances and liquidity zones makes it a versatile tool for both intraday and longer-term strategies, providing critical insights for understanding market cycles and potential turning points.
💎 FEATURES
Imbalance Bar Colors / Zones
Imbalances are fundamental components of the ICT methodology, highlighting areas where price accelerates, creating gaps that may indicate a lack of liquidity . These voids often point to potential reversal or continuation zones in the price action.
An imbalance typically arises when supply and demand are out of balance, resulting in a gap between price levels. Traders keep a close eye on these gaps, as they could present opportunities to enter trades when the price revisits them , as they suggest a strong institutional interest.
We can notice two types of imbalances… A Fair Value Gap (FVG) usually forms from three consecutive candles, defining the space between the wicks of the first and last candle. Conversely, a Volume Imbalance (VI) occurs when a gap appears between the opening and closing prices of two consecutive candles. When these imbalances align with FVGs, they offer a well-rounded framework for assessing market strength.
By analyzing both FVGs and VIs together, traders can gain valuable insight into potential price movements and better evaluate the likelihood of continuation or reversal.
This chart illustrates the Fair Value Gaps (FVG) and Volume Imbalances (VI) within the GBPUSD price action. The FVG Bar Color and FVG Zone represent the same Fair Value Gaps, and similarly, the VI Bar Color and VI Zone display the same Volume Imbalances. They highlight areas where rapid price movements have created gaps in the market. These gaps indicate potential zones for trade entries or exits as the price may return to fill them. As we can see on the chart, the major part of imbalances created has already been filled. They constitute really interesting Point of Interest (POI).
The 50% FVG line marks the midpoint of the gap, which is often considered an important level for price action. A clear example appears in the Bearish FVG on the top left, where price first filled it below the midline, creating a small reaction. The price then liquidated this "fake mitigation" by moving just above the midline before beginning its significant downward movement. This demonstrates the crucial role of imbalances and how precisely price interacts with them.
Traders can use this information to identify potential buying or selling opportunities based on the interaction of price with these gaps and volume imbalances, aiding in the development of their trading strategies.
PO3 Candles (Power of Three)
The Power of Three is a critical concept in the ICT methodology that analyzes Higher Timeframe (HTF) candles focusing on the opening price, high wick, low wick, and closing price. This framework helps traders understand the current market cycle, in three phases , and its trading implications.
Accumulation Phase: In this initial phase, the price consolidates around the opening price as the market gathers liquidity. This often signals that larger players are positioning for the next move.
Manipulation Phase: Represented by the candle wicks, this phase indicates the extreme points where liquidity grabs often occur. Observing these wicks helps traders identify the end of the accumulation phase and potential turning points.
Distribution Phase: The candle body reflects a decisive price movement in one direction , following accumulation and manipulation. Traders align with the direction of this phase to capture the “real candle move”.
Our indicator provides you with the valuable capability to integrate the True Day Range, as defined by ICT. This concept, rooted in institutional logic, defines a trading day as starting at 00:00 New York time. You can customize it to match your trading style and analysis needs.
You can also overlay imbalances (FVG and VI) directly onto PO3 Candles, seamlessly combining imbalance detection with high-timeframe price action. This approach gives you a sharper market perspective, uncovering potential turning points with greater clarity.
In summary, PO3 Candles help traders assess the market structure and identify cycle positions on HTF candles, enabling them to make more strategic trading decisions, which allows for better entry and exit timing, avoiding traps, and seizing the best opportunities to capture significant market moves.
This chart illustrates the application of the Power of Three concept to EURUSD price action, highlighting key phases of market behavior.
In this example, we observe the Daily candles, where a significant Bullish imbalance appears from previous days, forming a Fair Value Gap (FVG). Additionally, there’s a small Volume Imbalance (VI) at the candle's opening, signaling liquidity that the price needs to fill.
Now, focusing on the Weekly candle, we can clearly identify its phases. First, there's an accumulation phase around the opening price, which, as shown by the Daily candles, took some time to develop. Then, the manipulation phase occurs, signaled by the upper wick of the Weekly candle, which liquidates the previously created accumulation. It’s time to look for a potential selling position... Finally, the price falls, beginning to form its bearish body and completing the real move of the week.
This framework allows traders to better understand the market structure and make informed decisions based on the current cycle.
Standard Deviation (STD)
The Standard Deviation (STD) is a concept within the ICT methodology that focuses on identifying periods of consolidation within the market. Specifically, it examines the Central Bank Dealers Range (CBDR) , which occurs between 13:00 and 23:00 New York time. During this period, the market often exhibits consolidation , creating an environment where price action stabilizes before making significant moves.
This consolidation forms the basis of the Standard Deviation (STD) concept. This is based on the idea that the volatility observed during this consolidation phase can be used to anticipate future market volatility. Once this consolidation is identified, the STD framework duplicates the established range both above and below the consolidation area.
As price approaches these duplicated levels, it offers traders critical information on where to anticipate potential reactions. If the price nears the upper boundary of the consolidation, it suggests a potential reversal point, indicating an opportunity to consider selling. Conversely, if the price approaches the lower boundary, it may signal an opportunity to look for buying positions . This duplication could enable traders to determine potential high and low points for the trading day or week for example.
Finally, the Standard Deviation (STD) concept provides a valuable framework for identifying potential key reaction points in the market by leveraging consolidation within the CBDR. By duplicating these ranges, traders can anticipate significant price movements and refine their strategies.
This chart illustrates the Standard Deviation (STD) concept applied to EURUSD price action. The highlighted areas in blue indicate high duplications and low duplications derived from the consolidation identified during the Central Bank Dealing Range (CBDR), marked by the dark gray rectangle.
The high duplications represent potential resistance levels, suggesting areas where the price may encounter selling pressure, while the low duplications signify potential support levels, indicating where buying interest could emerge.
The annotations emphasize how price reacts at these duplicated levels, showing the critical role of the STD in determining where price movements may stall or reverse. In this example, the price responded perfectly to both an upward and a downward duplication, confirming that these levels could represent the day's high and low, an observation validated here. This highlights the precision of price movements, with the price stopping exactly at the full duplication levels (but we can not that the price could also have paused at the midline levels, indicated by the dashed gray lines).
This visualization helps traders anticipate potential reactions and align their strategies with market dynamics, ensuring informed decision-making based on established price behavior.
✨ SETTINGS
Imbalance Bar Colors / Zones: Choose to display FVGs, VIs, or both, with customizable color settings. Choose to extend zones or set them to be removed when mitigated.
PO3 Candles: Customize the PO3 Candles for different timeframes (Daily, Weekly, Monthly), including the calculation Mode (Classic or True Day Range) and timezone associated, and set your body, border, and wick preferred colors. The Imbalance Bar Color and FVG Zones can also be displayed on these HTF candles, as they are configured in their settings.
STD: Select the timeframe on which to base it and configure the number of duplications and midline settings. You can also define the time range and timezone related to consolidation detection, giving you control over when and where the STD should apply.
🎯 CONCLUSION
The Momentum Structures Indicator combines the core principles of ICT and Smart Money Concepts to provide traders with advanced tools for understanding market dynamics. By focusing on key elements like imbalances and liquidity zones, it offers a comprehensive framework for analyzing price behavior. This indicator empowers traders to identify key market phases, anticipate potential reversals, and refine their entry and exit points with precision. While its features provide a valuable edge, it’s essential to remember that none should be used on its own and many more factors go into being a profitable trader.
BTC Power of Law x Central Bank LiquidityThis indicator combines Bitcoin's long-term growth model (Power Law) with global central bank liquidity to help identify potential buy and sell signals.
How it works:
Power Law Oscillator: This part of the indicator tracks how far Bitcoin's current price is from its expected long-term growth, based on an exponential model. It helps you see when Bitcoin may be overbought (too expensive) or oversold (cheap) compared to its historical trend.
Central Bank Liquidity: This measures the amount of money injected into the financial system by major central banks (like the Fed or ECB). When more money is printed, asset prices, including Bitcoin, tend to rise. When liquidity dries up, prices often fall.
By combining these two factors, the indicator gives you a more accurate view of Bitcoin's price trends.
How to interpret:
Green Line : Bitcoin is undervalued compared to its long-term growth, and the liquidity environment is supportive. This is typically a buy signal.
Yellow Line: Bitcoin is trading near its expected value, or there's uncertainty due to mixed liquidity conditions. This is a hold signal.
Red Line: Bitcoin is overvalued, or liquidity is tightening. This is a potential sell signal.
Zones:
The background will turn green when Bitcoin is in a buy zone and red when it's in a sell zone, giving you easy-to-read visual cues.
AutoPilot | FractalystWhat’s the purpose of this indicator?
The AutoPilot indicator automates the management of your active trades by:
Breaks Even: Moves the stop-loss to the entry price once the trade reaches a 1:1 risk-reward ratio.
Closes Trades: Automatically exits trades when trailing stop-losses are triggered.
This automation is facilitated through PineConnector and TradingView webhook integration, allowing traders to manage multiple positions across various markets effortlessly without any manual intervention.
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How does this indicator trail stop-loss using market structure?
The AutoPilot indicator utilizes an advanced market structure trailing stop-loss mechanism to manage trades based on market dynamics and probabilities.
Here's how it works:
Market Structure Identification: The indicator first identifies key market structures such as higher highs, lower lows.
These structures are pivotal points where the market has shown a change in direction or momentum.
Probability-Based Trailing: Once a trade is active, the stop-loss isn't just set at a fixed distance or percentage but is dynamically adjusted based on the probability of the market structure holding or breaking.
This involves:
Trend Continuation Probability: If the market structure suggests a strong trend continuation (e.g., a series of higher highs in an uptrend), the stop-loss might trail closer to the price, but with a buffer calculated by the probability of the trend continuing versus reversing.
Reversal Probability: Conversely, if there's a high probability of a trend reversal based on recent market structures (like a significant lower high in an uptrend), the stop-loss might be adjusted to a point where the market structure would need to break to confirm the reversal, thus protecting potential profits or minimizing losses.
Dynamic Adjustment: The trailing stop-loss adjusts in real-time as new market structures form. For instance, if a new higher high is formed in an uptrend, the stop-loss might move up but not necessarily to the exact previous swing low. Instead, it's placed at a level where the probability of the next swing low not breaking this level is high, based on historical price action.
Risk Management: By using market structure and probabilities, the indicator aims to balance between giving the trade room to breathe (allowing for normal market fluctuations) and tightening the stop-loss when the market behavior suggests a potential trend change or continuation with high confidence.
This approach ensures that the stop-loss isn't just a static or simple trailing mechanism but a sophisticated tool that adapts to the evolving market conditions, aiming to maximize profit while minimizing the risk of being stopped out prematurely due to market noise.
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How are the probabilities calculated? What are the underlying calculations?
The probability is designed to enhance trade management by using buyside liquidity and probability analysis to filter out low/high probability conditions.
This helps in identifying optimal trailing points where the likelihood of a price continuation is higher.
Calculations:
1. Understanding Swing highs and Swing Lows
Swing High: A Swing High is formed when there is a high with 2 lower highs to the left and right.
Swing Low: A Swing Low is formed when there is a low with 2 higher lows to the left and right.
2. Understanding the purpose and the underlying calculations behind Buyside, Sellside and Equilibrium levels.
3. Understanding probability calculations
1. Upon the formation of a new range, the script waits for the price to reach and tap into equilibrium or the 50% level. Status: "⏸" - Inactive
2. Once equilibrium is tapped into, the equilibrium status becomes activated and it waits for either liquidity side to be hit. Status: "▶" - Active
3. If the buyside liquidity is hit, the script adds to the count of successful buyside liquidity occurrences. Similarly, if the sellside is tapped, it records successful sellside liquidity occurrences.
5. Finally, the number of successful occurrences for each side is divided by the overall count individually to calculate the range probabilities.
Note: The calculations are performed independently for each directional range. A range is considered bearish if the previous breakout was through a sellside liquidity. Conversely, a range is considered bullish if the most recent breakout was through a buyside liquidity.
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What does the automation table display?
The automation table in the AutoPilot indicator provides a summary of user-defined settings crucial for automated trade management through PineConnector and TradingView integration. It displays:
PineConnector License ID: This ensures that the indicator is linked to your specific PineConnector account, allowing for personalized and secure automation of your trades.
Order Type (Buy/Sell): Indicates whether the automation is set for buying or selling, which is essential for correctly executing your trading strategy.
Chosen Symbol: Specifies the trading pair or symbol in your broker's platform where the trade management commands (like closing orders) will be executed. This ensures that the automation targets the correct market or asset.
Risk Per Trade: Shows the percentage or amount of your capital you're willing to risk on each trade, helping you maintain consistent risk management across different trades.
Comment: A field for you to input notes or identifiers, particularly useful when trading across multiple markets or instruments. This helps in tracking and managing trades across different assets or strategies.
Comment: A field for you to input identifiers, particularly useful when trading across multiple timeframes or different enries.
Allowing users to manage specific comments for each previously taken entry, facilitating precise management of multiple trades with unique identifiers.
This table serves as a quick reference for your current settings, ensuring you're always aware of how your trades are being managed automatically before any adjustments are made or alerts are triggered.
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How to use the indicator?
To use the AutoPilot indicator:
Purchase a License ID: Acquire a license ID from PineConnector.
Setup PineConnector EA: Install and configure the PineConnector Expert Advisor on your MetaTrader platform.
Input Settings: Enter your PineConnector license ID, choose the order type, set your risk per trade, add the order comment, and select the trading symbol in the indicator's settings.
Create Alert: Right-click on the automation table, and set up an alert with the provided webhook to connect with PineConnector.
Automatic Management: Once set, your active trades will be automatically managed according to the alert conditions you've set.
This setup ensures your trades are managed seamlessly without constant manual intervention.
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What makes this indicator original?
Integration with PineConnector: The AutoPilot indicator's originality lies in its integration with PineConnector, which allows for real-time trade management directly from TradingView to your MetaTrader platform. This setup is unique as it combines the analytical capabilities of TradingView with the execution capabilities of MetaTrader through a custom indicator, providing a seamless bridge between analysis and action.
Market Structure-Based Trailing Stop-Loss: Unlike many indicators that might use fixed percentages or ATR (Average True Range) for stop-loss adjustments, the AutoPilot indicator uses market structure (higher highs, lower lows) to dynamically adjust the stop-loss.
Probability-Based Adjustments: The indicator doesn't just trail stop-losses based on price but incorporates the probability of market structure holding or breaking. This probability-based trailing mechanism is innovative, aiming to balance between giving trades room to breathe and tightening when market behavior suggests a potential reversal or continuation.
Customizable Automation Table: The automation table within the indicator allows for detailed customization, including setting specific comments for trades. This feature, while perhaps not unique in concept, is original in its implementation within trading indicators, providing users with a high degree of control and personalization over trade management.
Real-Time Trade Management Alerts: The ability to set up alerts directly from the indicator to manage trades in real-time via webhooks to PineConnector adds a layer of automation that's not commonly found in standard trading indicators. This real-time connection for trade management enhances its originality by reducing the lag between analysis and trade execution.
User-Centric Design: The design of the AutoPilot indicator focuses heavily on user interaction, allowing for inputs like risk per trade, specific order types, and comments. This user-centric approach, where the indicator adapts to the trader's strategy rather than the trader adapting to the tool, sets it apart.
External Integration for Enhanced Functionality: By leveraging external services like PineConnector for execution, the indicator extends its functionality beyond what's typically possible within TradingView alone, making it original in its ecosystem integration for trading purposes.
Practical Implication: This means if you're in a trade and the market structure suggests the trend is continuing (e.g., making higher highs in an uptrend), your stop-loss might trail closer to the price but not too close to avoid being stopped out by normal fluctuations. If the structure breaks (e.g., a lower high in an uptrend), the stop-loss could adjust more aggressively to protect profits or minimize losses, anticipating a potential trend change.
This combination of features creates an original tool that not only analyzes market conditions but actively manages trades based on sophisticated market structure analysis.
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User-input settings and customizations
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Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data. By utilizing our charting tools, the buyer acknowledges that neither the seller nor the creator assumes responsibility for decisions made using the information provided. The buyer assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses. Therefore, by purchasing these charting tools, the customer acknowledges that neither the seller nor the creator is liable for any unfavorable outcomes resulting from the development, sale, or use of the products.
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By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
Uptrick: 6 Coins Market Data TableThe "Uptrick: 6 Coins Market Data Table" indicator is a sophisticated tool designed to provide a comprehensive snapshot of the market data for six major cryptocurrencies. This tool displays crucial information in a table format directly on the chart, enabling traders to make informed decisions quickly. It focuses on providing key metrics such as the Relative Volatility Index (RVI), volume, buy and sell pressure, and liquidity for each coin. The primary purpose of this indicator is to consolidate essential market data for multiple cryptocurrencies into a single, easy-to-read table. This facilitates quick analysis and comparison, helping traders assess market volatility and momentum using the Relative Volatility Index (RVI), monitor trading volume to understand market activity and interest, evaluate buy and sell pressure to gauge market sentiment, and determine liquidity to understand the ease of entering or exiting positions. The indicator is titled "Uptrick: 6 Coins Market Data Table" and is set to overlay on the chart, ensuring that it does not obstruct the view of price action. It uses a custom function to calculate buy and sell pressure based on price movements and trading volume, where buy pressure measures the volume of trades executed at prices above the low but below the high, indicating buying interest, and sell pressure measures the volume of trades executed at prices below the high but above the low, indicating selling interest. Liquidity is calculated as the product of the trading range (high - low) and the trading volume, helping in understanding the ease with which an asset can be traded without affecting its price. The RVI is calculated using the standard deviation of price changes and the exponential moving average (EMA), distinguishing between periods of increasing and decreasing volatility to provide a normalized measure of market volatility, with the RVI value ranging from 0 to 100, where higher values indicate higher volatility. The table is created with six rows and seven columns, with each row representing a cryptocurrency and each column representing a specific metric. The first row of the table includes headers for each metric: Symbol, RVI, Volume, Buy Pressure, Sell Pressure, and Liquidity. The populateTable function retrieves and calculates the necessary data for each cryptocurrency, fetching open, high, low, close prices, and volume, then calculating the RVI, buy/sell pressure, and liquidity. These values are populated into the respective cells in the table, ensuring that traders can see all relevant data at a glance. The indicator allows users to specify six different cryptocurrency symbols through input fields, enabling traders to monitor their preferred coins. The table columns include Symbol (the trading symbol of the cryptocurrency, e.g., BTCUSDT), RVI (the Relative Volatility Index displayed as a percentage, indicating the volatility level), Volume (the trading volume for the specified period, indicating the level of trading activity), Buy Pressure (a volume-based measure of buying interest), Sell Pressure (a volume-based measure of selling interest), and Liquidity (a measure of the asset’s liquidity, combining price range and volume). By bringing together multiple key metrics for six cryptocurrencies into one table, the indicator provides a centralized view of market conditions, enhancing decision-making as traders can quickly assess volatility, market sentiment, and liquidity, aiding in more informed trading decisions. The tool's customizability, allowing users to tailor the table to display their preferred cryptocurrencies, makes it versatile for different trading strategies. This detailed description outlines the functionality and purpose of the "Uptrick: 6 Coins Market Data Table" indicator, emphasizing its role in providing comprehensive and actionable market data for traders.
ICT SM Trades PREMIUMIndicator looks for ICT & Smart Money trades on any timeframe. These types of trades reveal how the big institutions, banks and hedge funds trade with big money. If they want their very big positions to be filled they need to find areas in chart where the majority of the money is sitting. Where is it? Where is the majority of orders placed? Right below supports or right above resistance, these orders are stoplosses or stop orders. So they need to push the price to these areas, take all the available stoplosses and trigger all the available stop orders in order to fill their positions and then push the price to the opposite side to make profit (and retail to lose).
Indicator looks for support or resistance (S/R) areas which are represented by dotted lines. This S/R areas are created by minimum of 2 pivot high/low (H/L). Every pivot H/L that creates the S/R area is marked with diamond label. This S/R area is called liquidity. After liquidity is created, indicator looks for liquidity grab (mostly represented by fast spike to this area - it is labeled with x-cross) and then price should go fast to the opposite side of the created structure. Indicator considers as a created structure everything that was created on the other side of the candles from the oldest pivot H/L which creates particular liquidity. For example, if liquidity is created with 3 pivot highs, indicator looks at the oldest pivot high and from there it is looking for the lowest low. Under this lowest low is dashed line which means that this level should be broken with closed candle. This action is called market structure shift (MSS), when the price shifted very fast from highs to lows. After MSS, when the price went fast to one direction, there were some imbalances in prices, in our example selling pressure was a lot bigger than buying pressure and there were created some long untested bearish candles. This untested areas in candles are called imbalances or gaps of fair value gaps (FVG). These are labeled with rectangles. It is expected that these gaps will be tested in near future to "balance the market".
We can put limit orders into these gaps (or into order blocks in PREMIUM indicator) and await some retracement after MSS to open our positions and after the positions are opened we can expect trend continuation in the direction where market structure shift was made (away from liquidity grab). So stoplosses can be placed above/below liquidity grab candle (marked with x-cross).
Alerts can be set for MSS to Long & Short and for liquidity grabs to Long & Short.
All settings of this indicator should be self-explanatory and most of them have tooltips for better understanding.
ICT Turtle SoupICT Turtle Soup identifies classic “failed breakout” reversals after liquidity sweeps of recent highs/lows, then augments the setup with volume validation, market structure context, Kill Zone (session) filters, Order Blocks (OB), Fair Value Gaps (FVG), OTE (61.8–78.6%) zones, and optional risk targets (SL/TP 1:1, 1:2, 1:3). A compact dashboard summarizes current context (recent high/low, lookbacks, active session, structure state, mitigation counts).
What the Script Does
⦁ Detects Turtle Soup events: Price breaks a prior swing extreme and then quickly reverses back inside the range.
⦁ Grades signal quality: Factors include reversal speed, volume confirmation, breakout magnitude, and consecutive patterns.
⦁ Overlays market context: Trend/range classification (ADX / MA / ATR Bands / Combined), Kill Zones (Asian/London/NY), and time-of-day filters.
⦁ Marks IMB / mitigation zones: Draws Order Blocks and Fair Value Gaps, with optional live mitigation tracking and fading/removal on mitigation.
⦁ Shows OTE zones (61.8–78.6%) after confirmed reversals to highlight potential pullback entries.
⦁ Plots risk management guides: Optional SL buffer below/above reversal wick and TP bands at 1:1, 1:2, 1:3 R multiples.
⦁ Emits alerts on bullish/bearish Turtle Soup confirmations.
How It Works (Conceptual)
1. Liquidity Sweep & Breakout Check
⦁ Looks back over user-defined windows (single or multiple lookbacks: short/medium/long) to find the most recent swing high/low.
⦁ Flags a breakout when price pierces that swing (above for bearish, below for bullish).
⦁ Optional breakout bar volume check requires volume > avg(volume, N) × multiplier.
⦁ Optional swing age check requires the broken swing to be at least X bars old.
2. Reversal Confirmation
⦁ Within N bars after the sweep, validates a mean-reversion close back inside the prior range with a minimum wick/body ratio to confirm rejection.
⦁ Quality Score adds points for:
⦁ Speed: reversal within fast_reversal_bars;
⦁ Volume: breakout and/or reversal volume spike;
⦁ Series: previous consecutive signals;
⦁ Magnitude: sufficient sweep distance.
⦁ Optional high-quality filter only shows signals meeting a minimum score.
3. Context Filters (Optional)
⦁ Sessions/Kill Zones: Only allow signals in selected sessions (Asian/London/NY) with fully custom HHMM inputs.
⦁ Time Window: Restrict to specific hours (e.g., 08–12).
⦁ Market Structure: Classify Trending vs. Ranging (via ADX, MA separation/slope, ATR bands, or Combined). You can allow signals in trends, ranges, or both.
4. Smart Confluence Layers
⦁ Order Blocks: Finds likely OBs with structural validation (e.g., bearish up-candle prior to down move), imbalance score (body/range × volume factor), and extend-until-touched with mitigation % tracking.
⦁ Fair Value Gaps: Detects valid 3-bar gaps (bull/bear) with size threshold, supports touch / 50% / full mitigation logic, and can fade or remove after mitigation.
⦁ OTE Zones: After a reversal, projects the 61.8–78.6% retracement box from the actual swing range; offset scales to timeframe to avoid clutter.
5. Risk & Display
⦁ SL/TP guides: Optional wick-buffered SL and 1:1/1:2/1:3 TPs.
⦁ Dashboard: Recent high/low, active lookbacks, current session, structure label, and live counts of mitigated OBs/FVGs.
Signals & Visuals
⦁ Bullish Turtle Soup: Triangle up + label (🐢S/M/L/D + star rating).
⦁ Bearish Turtle Soup: Triangle down + label (🐢S/M/L/D + star rating).
⦁ Labels can show: quality stars, FAST/SLOW reversal, reversal & breakout volume tags, previous consecutive count, and last move %.
⦁ Lines/Boxes: OBs, FVGs, OTE zones, SL/TP bands, and optional breakout magnitude line.
Inputs (Key Groups)
⦁ Turtle Soup: Lookbacks (single or S/M/L), reversal bars, wick ratio, magnitude line, reversal speed, volume confirmation (multiplier/length), consecutive tracking.
⦁ Order Blocks: Show/validate structure, lookback, extend-until-touched, mitigation % threshold, colors.
⦁ Fair Value Gaps: Show, min size %, colors, mitigation mode (Touch/50%/Full), optional remove-on-mitigation.
⦁ Kill Zones/Sessions: Enable Asian/London/NY with custom HHMM, colors.
⦁ OTE: Show OTE (61.8–78.6%), color, timeframe-adaptive offsets.
⦁ Signal Filters: Filter by session, time window, market structure method (ADX/MA/ATR/Combined), thresholds (ADX, MA periods, ATR multiplier), trending/ranging allowances, structure label & offset.
⦁ SL/TP: SL buffer %, TP 1:1/1:2/1:3 toggles & colors.
⦁ Breakout Validation: Require breakout-bar volume, min swing age, volume label toggles.
⦁ Alerts: Enable/disable.
⦁ Dashboard: Position, text size, colors, border.
How to Use
1. Markets & Timeframes: Works on FX, crypto, indices, and futures. Start with M5–H1 for intraday and H1–H4 for swing; refine lookbacks per instrument volatility.
2. Core Flow:
⦁ Enable multiple lookbacks for robustness on mixed volatility.
⦁ Turn on validate_swing_significance to avoid micro sweeps.
⦁ Use validate_breakout_volume + use_volume_confirmation to filter weak pokes.
3. Context Choice:
⦁ In ranging environments, allow both sides; in trends, consider counter-trend only at HTF OB/FVG/OTE confluence.
⦁ Narrow to London/NY for higher activity if desired.
4. Entries/Stops/Targets:
⦁ Entry on confirmed label close or at OTE pullback post-signal.
⦁ SL: below/above reversal wick + sl_buffer%.
⦁ TP: scale at 1:1/1:2/1:3 or manage via OB/FVG/structure breaks.
5. Confluence: Prefer Turtle Soup that aligns with OB/FVG zones and Combined structure method for added reliability.
Alerts
⦁ “Bullish Turtle Soup detected” and “Bearish Turtle Soup detected” fire on confirmation.
⦁ Set to Once Per Bar (as coded) or adjust in the alert dialog per your workflow.
Notes & Tips
⦁ Multiple lookbacks (S/M/L) help capture both shallow and deep liquidity sweeps.
⦁ Use market structure label with offset to keep it readable on the right of price.
⦁ Mitigation tracking visually communicates when OB/FVG confluence is no longer valid.
⦁ Dashboard = fast situational awareness; keep it on during live trading.
Limitations & Disclaimer
⦁ This tool is educational and not financial advice. No profitability or win-rate is implied. Markets carry risk; manage position size and test thoroughly.
⦁ Signal quality depends on market regime, spreads, news, and data quality. Backtests/forward-tests may differ.
⦁ Visual objects are capped for performance; old items may auto-clean to keep charts responsive.
Ultimate Crypto Trend & Liquidity Screener v11. Overview & Originality
This script is an advanced, all-in-one screening tool designed specifically to identify high-potential, trend-following opportunities within the cryptocurrency market. While many screeners focus on single conditions, the "Ultimate Crypto Trend & Liquidity Screener" is original in its multi-layered approach, combining seven distinct logical checks into a single, cohesive framework.
Its primary innovation is the calculation of a "Total Score," which quantifies how well an asset conforms to the ideal characteristics of a tradable trend. This allows traders to move beyond simple binary (yes/no) filtering and instead rank the entire market to find the absolute best candidates that match their strategy.
The script is fully compatible with the TradingView Pine Screener, outputting each individual condition and the Total Score as separate columns for powerful, flexible market analysis.
2. Core Concepts & How It Works
This screener is built on the core principles of classic trend-following. It evaluates assets against a comprehensive checklist to ensure they are not only trending, but are also liquid, volatile, and at a strategic entry point.
The script systematically checks for:
Liquidity: Ensures the asset is actively traded with significant dollar volume, which is crucial for minimizing slippage. It checks both the daily turnover and the 30-day average volume.
Trend Confirmation: Utilizes a dual-moving average system (20/50 SMA default) to confirm the underlying trend direction. It also includes an optional filter to ensure the long-term moving average is actively sloping upwards, confirming trend health.
Trend Strength: Employs the Average Directional Index (ADX) to measure the strength of the trend, filtering out weak or choppy price action.
Momentum: Uses the Relative Strength Index (RSI) to confirm that the asset has positive momentum, as strong trends are supported by sustained buying pressure.
Volatility: Measures volatility using the Average True Range (ATR) as a percentage of the price. This ensures the asset has enough movement to be profitable, a key factor in the 24/7 crypto market.
Strategic Entry: Offers a user-selectable "Entry Mode." You can choose between:
Breakout Mode: Identifies assets breaking out to new highs on a surge of volume.
Pullback Mode: Identifies assets already in a strong uptrend that are experiencing a healthy dip to a key moving average, offering a potentially better risk/reward entry.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Asset Analysis: When you apply the script to any crypto chart, a detailed diagnostic table will appear in the bottom-right corner. This table provides a real-time checklist, showing true or false for each of the 7 conditions and the final score, allowing for a quick and deep analysis of any individual asset.
Full Market Screening (Recommended):
Open the Crypto Screener on TradingView.
Click the "Filters" button and at the bottom of the menu, select this script ("Ultimate Crypto Trend & Liquidity Screener").
Click the "Columns" button on the screener and add the columns generated by this script, such as "Total Score," "Liquidity OK," "Entry Signal OK," etc.
You can now sort the entire crypto market by "Total Score" to instantly find the strongest candidates, or filter for assets that meet specific conditions (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters within this script are fully customizable via the "Settings" menu. The default values have been tuned for general use in the crypto market (e.g., faster moving averages, higher volatility thresholds), but you are encouraged to adjust them to fit your specific trading style, preferred timeframes, and risk tolerance.
5. Disclaimer
This tool is designed for educational and analytical purposes to aid in the decision-making process. It does not provide financial advice or guarantee trading success. Past performance is not indicative of future results. Always use this screener in conjunction with your own comprehensive analysis and robust risk management practices. This script is published open-source to encourage community learning and collaboration.
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly
Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break.
What it does
This tool plots three families of high-signal reference lines and keeps them tidy as price evolves:
Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits.
Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes.
Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed).
Why these levels matter
Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity:
Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view:
Cleaner charts — Auto-remove broken lines so you focus on what still matters right now.
What it plots (at a glance)
Past Chosen Day High/Low for up to N prior weeks (your choice), extended right.
Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension.
Optional short labels (e.g., “Mon High”) or full labels (with week/month info).
How breaks are detected & cleaned
You control both the evidence and the timing of a “break”:
Break uses — Choose Close (more conservative) or Wick (more sensitive).
Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross.
Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes.
Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: )
Quick start
Pick a Day of Week to Track (e.g., Monday).
Set how many weeks back to show (e.g., 8–10).
Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens).
Decide if a break uses Close or Wick , and whether equality counts.
Toggle Remove Broken Levels to keep the chart clean automatically.
Tips by use-case
Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See:
Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim.
Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example:
Customization
Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter).
Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency.
Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info).
Color scheme — Separate colors for highs, lows, and each of D/W/M opens.
Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible.
What’s under the hood
On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars.
At each new day/week/month , it records the opening price and projects that line forward as well.
Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on.
Everything updates in real time; past levels don’t repaint after the session finishes.
Recommended presets
Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on.
Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L.
Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity.
Reading the examples
Broken lines disappear — decluttering in action:
Macro outlook — monthly opens as cycle rails:
Liquidity map — previous day highs + daily open:
Final note
These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Crypto Liquidation HeatmapThis indicator is designed to identify potential areas of liquidations, in most crypto assets.
How does it work?
At the core of this indicator, it utilizes Open Interest (a statistic measuring the sum of all open futures positions), which I will refer to as OI.
The script monitors changes in OI, and then correlates these changes to the price action trend to derive an estimation of whether an increase in OI relates to an increase in Shorts or in Longs.
The trend is currently identified by the candle closing direction, therefore a bullish candle with increasing OI, results in the script counting an increase in Long Positions. Whereas a bearish candle and increasing OI, results in an increase of Short Positions.
Following that, the script estimates where these new positions will be liquidated (set either as a manual percentage, or using one of the defined presets).
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What makes this indicator unique from "Liquidation Levels" scripts, is the the way it groups potential liquidation volumes in segments, creating a cumulative view of liquidity potential - a true heatmap, not simply levels. To further clarify, liquidity within a set range is added to the segment of that range. The settings allow you to set the resolution of the range, according to preference. There is also an Automatic mode (at this moment limited to Bitcoin).
Regular OI Liquidation levels do not combine their volumes when overlapped, nor do they adhere to any ranges - making them scattered and not representative of the true liquidity in that area. This Liquidation Heatmap fixes all of those limitations.
Another unique addition to this Liquidation Heatmap, is my custom three tier color gradients with alpha support (transparency). This function allows a seamless transition of the coloring in liquidation potential from purple (minimum), to blue (medium), to yellow (maximum). This allows a larger range of liquidity identification, along with further aesthetic bonuses.
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How to use this indicator?
In general, such a tool can be used in numerous ways. It is not a standalone signal, meaning you should always compliment this tool with your own TA and reasoning.
One way of using this tool, is to anticipate that the price will continue on its trend, when you see it moving towards a zone of high liquidity (expecting that liquidity to be taken out).
Another way of using this tool, would be to anticipate a kickback after a liquidation event has taken place, thus returning to the mean.
ICT Institutional Order Flow (fadi)ICT Institutional Order Flow indicator is intended to provide wholistic view to better analyze order flow and where price may go to next. The concept follows ICT principles.
ICT Market Structure
ICT breaks down Pivot points into three categories:
Short Term High/Low (STH/STL) is a 3 candle pattern with a low with higher low on each side (STL), or a high with lower high on each side (STH)
Intermediate Term High/Low (ITH/ITL) uses the calculated STH/STL and marks any STH that has lower or STH on each side, and STL that has higher STL on each side
Long Term High/Low (LTH/LTL) uses the calculated ITH/ITL and marks any ITH that has lower or ITH on each side, and ITL that has higher ITL on each side
Note: ICT also states that if a STH wicks into and closes (almost?) a FVG, he marks it as ITH even if it does not have STH on reach side. This scenario is not covered by this indicator
Liquidity
liquidity is usually present under pivot points. The more prominent the pivot point, the more likely higher values liquidity pools reside under/above it. Liquidity under ITL and LTL as an example, will have better indication of which liquidity the price may seek next.
Displacement
Displacement registers above average move in the price resulting in strong visible move. If requiring a FVG is enabled (in settings), then the displacement could possibly (but never guaranteed) be used to visually recognize a move as it develops.
Full Credit: The calculation for Displacement is derived from TFO's Visualizing Displacement
Imbalances
Imbalances can come in different forms. This indicator identifies three type of imbalances:
1. FVG
2. Volume Imbalance
3. Open Gaps
Imbalances completes the picture by help visualize strong moves, where possible pivot points may develop, and how to enter or manage a trade.
Cuck WickAcknowledgement
This indicator is dedicated to my friend Alexandru who saved me from one of these scam cuck wicks 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 cuck wick?
It's that fast stop-hunting wick that cucks 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 cuck 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 cuck 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.
ICT Liquidty H/L [MK]indicator shows liquidity levels at pivot highs and lows on the chart timeframe. Levels are drawn as a horizontal line up to the last active bar. Once a level has been passed through, the level is highlighted. The liquidity level will remain highlighted until a pre determined amount of bars have closed after the level was passed. These liquidity levels can be used as targets for trades, or as potential reversal points. Liquidity (or resting orders) at key pivot points form a key part of the ICT trading system. Users can configure the indicator to display the untapped liquidity levels, or they can be completely hidden until they are passed through.
SPX Fair Value Bands V2An updated version of the SPX Fair Value Bands script from dharmatech and based on the net liquidity concept by MaxJAnderson .
Now with full customization of parameters through the settings (Dialog Box) and allowing the options to the use of
1) Standard Bands based on Offsets of the Fair Value
2) Bollinger Bands
3) Keltner Channels
to better capture buy/sell areas rather than relying on noisy unreliably (and unevenly) updated data from the Treasury/Fed.
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Net Liquidity's importance in the new post-COVID QE to QT regime as described MaxJAnderson
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" In past cycles, size of Fed's balance sheet changed a lot, while TGA and RRP changed relatively little. So size of balance sheet roughly equated Net Liquidity.
(The Treasury General Account) TGA and (Reverse Repo) RRP didn't matter. They were rounding errors by comparison.
But starting in 2020, relative changes in TGA and RRP have been THREE TIMES LARGER than the change in size of the Fed's balance sheet. As result, changes in TGA and RRP have taken over as the primary drivers Net Liquidity.
This is new, and changes the game significantly. Again - the size of the Fed's balance sheet doesn't matter.
What matters is the portion of it that's available to circulate in the economy (Net Liquidity).
And ever since 2020, the Treasury and Reverse Repo have become what controls that. Not the size of Fed's balance sheet.
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The idea that follows is simple,short when $SPX reaches extreme levels of overvaluation, and close out when SPX returns to being undervalued. Here's the formulas I currently use to determine fair value:
Fair Value = (Fed Bal Sheet - TGA - RRP)/1.1 - 1625
And here's the trading rules I currently follow:
Short when diff of $SPX - Fair Value > 350
Close when diff of $SPX - Fair Value < 150
When one of these rules is triggered upon market close on a given day, trades are entered at open of the following day "
Ultimate Stock Trend & Liquidity Screener1. Overview & Originality
This script is a comprehensive, all-in-one screening tool designed to identify high-quality, trend-following opportunities in global stock markets. Its originality lies in combining seven distinct logical checks—spanning liquidity, trend, momentum, and volatility—into a single, cohesive framework.
www.tradingview.com
The script's core innovation is its "Total Score" system. This feature moves beyond simple binary filtering by quantifying how well a stock meets the ideal criteria for a tradable trend. This allows you to rank entire watchlists to find the most promising candidates, not just the ones that meet a minimum threshold.
Designed for full integration with the TradingView ecosystem, the script outputs all individual conditions and the Total Score as separate columns in the Pine Screener, enabling deep and flexible market analysis.
2. Core Concepts & How It Works
Built on the classic principles of trend-following, this screener validates potential trades against a robust checklist. The default parameters are tuned for stock market analysis, using standard lookback periods like the 50 and 200-day moving averages.
The script systematically checks for:
Liquidity: Guarantees the stock is actively traded by filtering for minimum daily dollar volume (turnover) and a healthy 30-day average volume, which is critical for good execution.
Trend Confirmation: Employs the classic 50/200 Simple Moving Average "golden cross" structure to confirm a healthy, long-term uptrend.
Trend Quality: Includes an optional filter to verify that the long-term 200-day SMA is actively sloping upwards, ensuring the underlying trend has momentum.
Trend Strength: Uses the Average Directional Index (ADX) to filter out weak or sideways markets, focusing only on stocks in a strong, established trend.
Momentum: Confirms the trend is supported by sustained buying pressure by checking that the Relative Strength Index (RSI) is in a bullish regime (above 50).
Volatility: Requires a minimum level of volatility using the Average True Range (ATR) as a percentage of the price, ensuring the stock has enough movement to be tradable.
Strategic Entry: Offers a user-selectable "Entry Mode" to fit different trading styles:
Breakout Mode: Identifies stocks hitting new highs on a surge of volume.
Pullback Mode: Finds stocks already in a strong uptrend that are experiencing a healthy dip to a short-term moving average.
3. How to Use This Script
This indicator is designed for two primary workflows:
Single-Stock Analysis: Apply the script to any stock chart to see a detailed diagnostic table in the bottom-right corner. This table provides a real-time checklist for all 7 conditions and the Total Score.
Full Market Screening (Recommended):
Open the Stock Screener on TradingView.
Click "Filters" and select this script from the Pine Screener menu.
Click the "Columns" button and add the new columns generated by this script ("Total Score," "Liquidity OK," etc.).
You can now sort your entire watchlist by "Total Score" to find the best candidates or filter for stocks that meet a minimum score (e.g., Total Score > 5 ).
4. Inputs & Customization
All parameters are fully customizable in the script's "Settings" menu. You can easily adjust moving average lengths, thresholds, and lookback periods to tailor the screener to your specific strategy, timeframe, or market.
5. Disclaimer
This tool is for educational and analytical purposes only. It is not financial advice and does not guarantee any specific outcome or profit. Past performance is not indicative of future results. Always use this screener as part of a complete trading plan that includes your own analysis and risk management.
[DarkTrader] Classic Swipe (DW)Classic Swipe (DW) indicator is a highly customizable tool designed to visualize key price zones and liquidity sweeps on a daily and weekly basis. This script uses advanced plotting features like boxes, labels, and color-coded zones to help traders identify critical market structures such as daily/weekly high-low ranges and bullish or bearish swipes (previous daily high/low levels).
Key Features :
Daily Zone Box: Marks and tracks the high-low range for each trading day. Provides clear visual representation of price action within the daily range.
Weekly Zone Box: Highlights weekly high-low ranges, giving insight into longer-term support and resistance areas.
Bullish and Bearish Daily Swipes: Detects and marks sweeps of previous daily highs (bullish) or lows (bearish) with custom colors and transparency settings.
Customization: Toggle between displaying weekly and daily zones, adjust box colors and transparency, and fine-tune the appearance to match your preferences.
How to Use :
Daily Zone Box: Use this feature to identify key areas of daily price consolidation or breakout, providing intraday support/resistance zones.
Weekly Zone Box: Longer-term traders can leverage the weekly zone box to track broader market trends and prepare for potential swing trade setups.
Daily Swipes: The bullish and bearish swipe detection helps in spotting liquidity grabs or stop hunts, aiding in precise entry/exit decisions based on liquidity pools.
Indicator In Use :
Whether you're a day trader looking for intraday levels or a swing trader focusing on broader trends, this tool can help enhance your analysis by providing clear visual aids for market structure and liquidity events.
Weighted Global Liquidity Index (WGLI) ROCThe Weighted Global Liquidity Index (WGLI) ROC indicator calculates the rate of change (ROC) of the WGLI, providing valuable insights into the dynamics of global liquidity. The WGLI consolidates major central bank balance sheets and key financial indicators, such as Foreign Exchange Reserves, Interbank Rates, and Interest Rates, converted to USD and expressed in trillions. Specific US accounts like the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP) are subtracted from the Federal Reserve's balance sheet for a more detailed view of US liquidity.
Using both the WGLI and the WGLI ROC together allows users to track changes in global liquidity and understand policy trajectories and economic conditions. This dual approach offers insights into asset pricing and helps investors make informed decisions about capital allocation.
Feel free to explore and customize the WGLI ROC script to suit your analysis needs!
[AlbaTherium] OptiStruct™ Premium for Smart Money Concepts An Insight into Structure Mapping and Order Block Identification with Smart Money Concepts
Introduction:
Structure Mapping & Demands and Supplies Premium serves as a fundamental pillar in the realm of Smart Money Concepts . This indicator adeptly charts the market structure based on a refined version of SMC while identifying Order Blocks. All the concepts embedded in this method are meticulously defined, offering users the ability to chart the market structure with precision and heightened confidence. With this indicator, there is no need for excessive questioning of the accuracy of your markings; it diligently strives to perform this task effectively. There are no hidden 'magic' properties underlying this indicator, ensuring that our users can independently verify each and every feature. It is this commitment to transparency that sets us apart and makes us unique in the market.
In this discussion, we delve into the intricacies of Break of Structure, Change of Character , and SMART MONEY TRAP . We also introduce the concepts of Extreme Order Blocks, Decisional Order Blocks , and Smart Money Trap Order Blocks .
Chapter 1: Understanding Structure Mapping:
Let's begin with some definitions:
- Inside bars are candles that lie within the range of a preceding candle.
- Pullbacks occur in an uptrend when the low of a preceding candle's range (excluding inside bars ) is breached, and the price continues to rise.
- Inducements (IDM) are price levels defined as the low of the latest pullback before the most recent high. They often act as liquidity points that the market revisits before continuing its move.
Break of Structure (BoS):
In an uptrend, after surpassing an IDM , the most recent high becomes a Confirmed structure high, or a Major High . If the price then closes above this Major High, a Bullish Break of Structure (Bullish BoS) is confirmed. Similarly, the lowest point between these movements becomes a Confirmed structure low or Major Low in a downtrend.
Change of Character (ChoCh):
In an uptrend, if the price falls below a Major Low, it indicates a shift in market bias from Bullish to Bearish, or a Bearish Change of Character .
Example of a bullish ChoCh:
Chapter 2: The Significance of Order Blocks:
Order Blocks (OB) play a pivotal role in Smart Money Concepts during entry points. Understanding what they represent and how to identify them is essential. For a Bullish/Bearish Order Block to be confirmed, specific conditions, including price imbalance and breaching the previous candle's high or low, must be met. We will delve into the finer details of identifying and trading Order Blocks, with an emphasis on the fact that price often reacts from Decisional Order Blocks, Extreme Order Blocks , and Smart Money Trap Order Blocks .
An OB is the initial candle range of a pullback that creates a Fair value gap.
These are zones where proactive traders enter the market, resulting in significant price changes indicated by Fair value gaps. It is believed that when the price revisits these zones in the future, it tends to bounce back. This property makes Order Blocks excellent potential entry points.
Order Blocks are categorized as follows:
- Extreme OB : The first and lowest OB between the Major Low and Major High.
- Decisional OB : The most recent OB lower than the current IDM.
- Smart Money Traps : All OBs between Extreme and Decisional OB.
- Demand above IDM / Supply below IDM
Chapter 3: Understanding SMART MONEY TRAP (SMT):
SMART MONEY TRAP is a concept that brings clarity to the distinction between Structure and Order Blocks within Smart Money Concepts and is a unique feature of this indicator. While many Smart Money Traders base their trades on Structure and Order Blocks, it's crucial to recognize that Order Blocks serve as an additional confirmation for buy or sell decisions. Blindly trading based on Order Blocks is not advisable. Instead, traders should exercise patience and await other confirmations like inducement or Liquidity sweep before executing trades on Order Blocks. We will illustrate how this concept works in practice.
In the example above, the market made a high wick up, taking out the buy-side liquidity, then made a bearish ChoCh. We place our sell order on the order block above IDM. This presents a promising trading opportunity, with a stop loss placed above the OB and a take profit set at the low of previous structure.
Conclusion:
Structure Mapping & Demands and Supplies Premium as the epitome of Smart Money Concepts, presenting traders with a tool meticulously crafted for an exceptional user experience . This indicator integrates structural mapping and Order Blocks, providing not only a wealth of knowledge but a platform tailor-made for personalization to suit your unique style and preferences. By mastering the nuances of Impulsive Moves and Corrections, and expertly identifying and trading Order Blocks while considering the SMART MONEY TRAP, traders gain a distinct advantage in the ever-evolving financial markets.
This document serves as an enriching guide to Structure Mapping & Demands and Supplies Premium, accentuating its pivotal role within the Smart Money Concepts framework. We invite users to immerse themselves in an experience that transcends the ordinary, delving into the intricacies that define successful trading. As you navigate the complexities of the market, these detailed insights become your compass, providing a rich and customizable user experience that unlocks the full potential of Smart Money Concepts. Embrace these tools judiciously, and empower your daily analysis with a wealth of information that truly holds its weight in gold.
DTLLC Time & PriceDTLLC Time and Price with Signals
This indicator is built for traders who understand ICT concepts and want a structured, visual way to align time-based price action with key market levels. By combining customizable trading windows, breakout logic, and daily reference points, it helps you identify high-probability trade opportunities while filtering out market noise.
Key Features
1. Dual Custom Time Ranges (Kill Zones)
Set two independent time ranges per day (start/end hour and minute).
Each range identifies the highest high and lowest low within its window.
Built-in breakout detection generates buy/sell signals when price moves beyond these levels.
2. Volatility Filtering
Adjustable volatility threshold based on True Range relative to ATR.
Filters out low-quality signals during choppy, low-volatility conditions.
3. ATR-Based Stop Loss
Custom ATR length and stop-loss multiplier settings.
Automatically plots ATR-based stop levels for triggered trades.
4. Daily Key Levels
Plots Previous Day High, Previous Day Low, and Midnight Open continuously on the chart.
Useful for spotting breakout and reversal opportunities in line with ICT market structure concepts.
5. Liquidity & Engulfing Candle Highlights
Highlights potential liquidity grab zones (yellow candles) when significant highs/lows are set within your lookback period.
Detects bullish (green) and bearish (red) engulfing patterns for added confluence.
6. Visual & Signal Tools
Buy/Sell signals plotted directly on chart (separate colors for Range 1 and Range 2). Continuous plotting of reference levels to maintain market context throughout the session.
Example Use Case:
A common ICT-inspired reversal setup:
Wait for price to sweep the Previous Day’s High or Low during your chosen time range.
Look for a buy or sell signal with volatility confirmation.
Manage risk using the ATR-based stop-loss plot.
Disclaimer: This script is for educational purposes only and is not financial advice. Trade responsibly and always test strategies before applying them in live markets.
