Advanced Market Structure & Order Blocks (fadi)Advanced Market Structure & Order Blocks indicator provides a new approach to understanding price action using ICT (Inner Circle Trader) concepts related to candle blocks to analyze the market behavior and eliminate much of the noise created by the price action.
This indicator is not intended to provide trade signals, it is designed to provide the traders with to support their trading strategies and add clarity where possible.
There are currently three main elements to this indicator:
Market Structure
Order Blocks
Liquidity Voids
Market Structure
In trading, market structure is often identified by observing higher highs and higher lows. An uptrend is characterized by a series of higher highs, where each peak surpasses the previous one, and higher lows, where each trough is higher than the preceding one. Conversely, a downtrend is marked by lower highs and lower lows.
Other indicators usually determine these peaks by calculating the highest or lowest levels within a predefined number of candles. For example, identifying the highest price level within the last 15 candles and marking it as a higher high or a lower high. While this approach offers some structure to price action, it can be arbitrary and random due to price fluctuations and the lack of proper structure analysis beyond finding the highest peaks and valleys within candle ranges.
In his 2022 mentorship, episode 12, ICT introduced an alternative approach focusing on three-candle pivots called Short Term High and Low (STH/STL), which are then used to calculate the Intermediate Term High and Low (ITH/ITL), and in turn, the Long Term High and Low (LTH/LTL). ICT’s approach provides better structure than the traditional method mentioned above. However, it can be confusing and difficult to track. There are great indicators that track and label ICT’s levels, but traders still find it challenging to follow and understand.
The Advanced Market Structure indicator takes a unique approach by analyzing candle formations, using ICT concepts, to identify possible turning points that mimic a real trader’s analysis of price action as closely as possible. However, it should be expected that Market Makers may use market manipulation to induce traders to make failed trades, and no tooling can eliminate these situations.
Advanced Market Structure tracks true Peaks and Valleys as they form, confirms them, and marks the chart with corresponding labels using traditional labeling methods (HH/HL/LH/LL), as such labeling makes it easier for traders to follow and understand. The indicator also draws levels to help identify possible liquidity areas and trade targets.
The indicator uses different calculation methods for the different type of market structure length, however all calculations are based on the same ICT candle blocks concepts.
Market Structure Settings
Other than the display settings, there are four (4) settings, mainly under the Level Settings section.
Allow Nested Candles
This option is only available on the Short Market Structure due to the methods used in calculating highs and lows. When used, the indicator will attempt to detect smaller fluctuations in price by tracking smaller candle moves, if any.
Level Settings
Level Settings allows the trader to decide two main calculations:
1. A new pivot point will form when a candle’s is crossed by the following candle’s
2. For a liquidity sweep and marking a level as mitigated, a candle’s must cross that level
Order Blocks
ICT (Inner Circle Trader) defines an Order Block as the last down-closing candle, or series of candles, before a significant upward price move or the last up-closing candle, or series of candles, before a significant downward price move. These key price levels, marked by substantial buy or sell orders from institutional traders or "smart money," create a block or zone on the price chart. When the price revisits these levels, it often leads to a strong market reaction. Order Blocks can consist of one or multiple consecutive candles of the same color, signaling areas of significant buying or selling interest. ICT's approach to Order Blocks provides traders with a structured method to identify potential areas of support or resistance, where price movements are more likely to change direction. Although ICT has shared some criteria for identifying Order Blocks publicly, the full details are reserved for his upcoming books. This indicator leverages the publicly available information to provide traders with valuable insights into these crucial price levels.
The Advanced Market Structure indicator is designed to be highly flexible, allowing traders to define their own combination of rules for identifying Order Blocks, thus customizing it to fit their unique trading strategies.
Order Block Configuration
Can be nested
An Order Block is defined as the last down candle or candles before a strong move higher, and vice versa for bearish Order Blocks. However, larger-than-usual candles resulting from news events or price action may not qualify as Order Blocks and can mute any Order Block within their range.
The "Can be nested" flag ensures that each Order Block is treated as an independent entity, even if it appears within the body of another Order Block.
Forms at swing point
Order Blocks formed at swing points typically have higher probabilities but are less frequent, assuming the same rules are applied. Additionally, Order Blocks at swing points may become Breaker and Mitigation blocks if they fail, providing more trading opportunities.
Forms a simple pivot point
A simple pivot point corresponds to ICT Short Term High and Low (STH/STL). Order Blocks using simple pivot points can occur in the middle of a move, not just at swing points. These are useful for identifying IOFED setups and supporting blocks that can bolster the price move.
Causes Market Structure Shift
Order Blocks that result in a break above or below a short swing point can help narrow down target order blocks, but they are less frequent. An Order Block causing a break above or below a pivot point does not necessarily indicate a strong Order Block. For example, an Order Block formed at a Lower Low is more likely to fail in a downtrend.
A clean close above order block
When the first candle breaks above an Order Block and closes above its high, this indicates a stronger Order Block. On the other hand, if a candle merely wicks through the Order Block without a solid close above it, it suggests a weaker Order Block. This may indicate hesitation or an impending reversal, as the wick represents a temporary and unsustained price movement.
Has displacement more than X the body
While some traders may capitalize on the initial break above an Order Block's CISD level, others prefer to focus on the return to an Order Block after displacement. Displacement is determined by the body size of the Order Block, and an Order Block cannot be tested until this level has been achieved.
Has a Fair Value Gap
When an Order Block is combined with a Fair Value Gap (FVG), it signifies a strong Order Block. The Fair Value Gap indicates a strong price movement away from the Order Block.
Has a liquidity void
A Liquidity Void occurs when two consecutive candles of the same color do not overlap, creating a gap similar to a Fair Value Gap, but involving one or more middle candles. Liquidity Voids can be utilized in combination with, or as an alternative to, the displacement setting.
Maximum number of OBs
The maximum number of Order Blocks to display.
Mitigated at block’s
An Order Block is considered mitigated when price reaches one of the main Order Block levels.
Liquidity Void
Liquidity Void refers to areas on a price chart where there is one-sided trading activity. This phenomenon occurs when the price of an asset moves sharply in one direction, leaving gaps where two consecutive candles of the same color do not overlap. These gaps can comprise one or more middle candles and indicates a pronounced lack of trading within that price range. Liquidity Voids are important because they highlight areas of minimal resistance, where price is more likely to return to fill the void and balance the market.
Liquidity Void vs Fair Value Gap
While both concepts are related to gaps in price action, they are distinct. A Fair Value Gap is a specific three-candle pattern where the middle candle creates a gap between the first and third candles. In contrast, a Liquidity Void represents a broader area on the chart where there is little to no trading activity, often encompassing multiple candles and indicating a more pronounced imbalance between buy and sell orders.
A FVG can be part of a Liquidity Void, a Liquidity Void can exist without necessarily including an FVG. Both concepts highlight areas of minimal resistance and potential price movement, but they differ in their formation and implications.
Advanced Market Structure and Order Blocks indicator focus on liquidity voids since a liquidity void can substitute for a FVG and it is usually less addressed by other indicators.
ค้นหาในสคริปต์สำหรับ "liquidity"
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.
Price Action Toolkit Lite [UAlgo]The Price Action Toolkit Lite is a comprehensive indicator designed to enhance your chart analysis with advanced price action tools. This powerful toolkit combines multiple technical analysis concepts to provide traders with a clear visualization of market structure, liquidity levels, order blocks, and trend lines. By integrating these elements, the indicator aims to offer a holistic view of price action, helping traders identify potential entry and exit points, as well as key levels of interest in the market.
🔶 Key Features
Market Structure Analysis: The indicator includes a ZigZag feature to highlight significant market highs and lows, aiding in the visualization of market structure changes and trends.
Liquidity Sweeps Detection: It identifies and displays liquidity sweeps, which are crucial for recognizing potential market reversals and areas of interest where significant price action is likely to occur.
Order Blocks: Automatically detects and draws order blocks, highlighting areas of institutional buying and selling pressure, which can serve as key support and resistance levels.
Trend Lines: The toolkit can draw and extend trend lines based on pivot points, providing a clear view of prevailing market trends and potential breakout points.
Customizable Settings: Users can adjust various settings, including the length of the ZigZag, liquidity detection sensitivity, the number of order blocks to display, and trend line detection parameters, allowing for a tailored analysis experience.
🔶 Disclaimer
The "Price Action Toolkit Lite " is intended for educational and informational purposes only.
It is not financial advice and should not be construed as such. Trading in financial markets involves substantial risk, including the risk of loss.
Past performance is not indicative of future results.
🔷 Similar Scripts
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.
Premium Dashboard [TFO]The purpose of this indicator is to serve as a scanner/dashboard for several symbols across multiple timeframes. At the time of release, the scanner looks for the following criteria on all selected timeframes:
- Whether price is in a Fair Value Gap (FVG)
- Whether price is in an Order Block (OB)
- Current Market Structure
- Nearest Liquidity Pivots
- Proximity to said Liquidity Pivots
For FVGs, the user selects a Displacement Strength to validate FVGs from the selected timeframes; larger values require greater displacement. The table will indicate whether price is presently trading in a valid bullish FVG, bearish FVG, or none.
With OBs, the user selects a similar Displacement Strength to validate OBs from the selected timeframes. Again, larger values require greater displacement to validate an OB. The table will indicate whether price is presently trading in a bullish OB, bearish OB, or none.
For Market Structure, the table will indicate whether the current structure is bullish or bearish on each respective timeframe. A pivot strength parameter is used to determine which swing highs and swing lows warrant valid Market Structure Shifts (reversals) or Breaks of Structure (continuations).
The Liquidity section of the dashboard displays the nearest Buyside and Sellside Liquidity (major highs and lows) from each respective timeframe. A similar pivot strength parameter is used to determine how "strong" the highs and lows must be in order to be considered valid.
The Premium / Discount section offers an alternative view of the nearest Liquidity Pivots, where it will instead display a percent value to describe how close price is to Buyside or Sellside Liquidity. Values approaching 100% imply price is trading close to the nearest Buyside Liquidity, while values approaching 0% imply price is trading close to Sellside Liquidity.
Users can also choose to show any of the above features on their current chart: FVGs, OBs, cumulative Market Structure, and Liquidity, all from the various selected timeframes.
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.
Price-Volume Correlation Strength (PVC)Overview
The Price-Volume Correlation Strength (PVC) indicator is a behavioral-analysis tool that quantifies the relationship between price movement and volume participation to distinguish t rue directional moves from false momentum or exhaustion traps .
It combines dynamic price–volume correlation logic, signal clustering, liquidity-sweep detection, and multi-day reference levels into a single, data-driven framework that adapts across all markets and timeframes.
⸻
1️⃣ Core Logic — Price vs Volume Correlation
At the heart of PVC is the belief that price without volume confirmation is deception .
The script evaluates whether volume supports or contradicts price direction using a rolling volume average and short-term price delta:
Price Direction Volume Behavior
↑ Price + ↑ Volume True Bull Move ✅ — Healthy rally with strong participation
↑ Price + ↓ Volume False Bull Move ⚠️ — Buyer exhaustion or fake breakout
↓ Price + ↑ Volume True Bear Move ✅ — Active selling pressure
↓ Price + ↓ Volume False Bear Move ⚠️ — Short covering / weak decline
Candles are automatically color-coded so that traders can instantly identify whether the current move is being supported (lime/red) or rejected (gray) by the underlying volume dynamics.
2️⃣ Signal Module — Trend Confirmation & Reversal
PVC tracks sequences of consecutive “true” bars to generate BUY or SELL signals once momentum aligns with sustained volume confirmation.
A built-in signal-strength filter (user-adjustable) ensures that only moves with multi-bar confirmation are considered.
Signals are non-repainting: once triggered, they persist until an opposite direction is confirmed.
3️⃣ Liquidity Sweep Engine
Markets often manipulate recent highs/lows to trigger stops before true reversals begin.
The Liquidity Sweep Engine detects these events by comparing current highs/lows to prior extremes and validating them with above-average volume bursts .
• Bullish Sweep (Blue dot below bar): liquidity taken below prior lows, buyers absorb volume → potential reversal up.
• Bearish Sweep (Blue dot above bar): liquidity taken above prior highs, sellers absorb volume → potential reversal down.
This module helps traders recognize Smart Money traps and stop-hunt zones that precede major turning points.
4️⃣ Adaptive Dashboard
A compact, on-chart dashboard summarizes the market state in real time:
• Price Direction — UP / DOWN / FLAT
• Volume Trend — RISING / FALLING
• Move Validity — True / False Move
• Signal Status — Active Buy / Sell / Mixed
• Recent Sweeps — Bull / Bear / Both / None
Border and grid colors are user-configurable for visual clarity.
⸻
5️⃣ Multi-Day OHLC & VWAP Suite
To complement the intraday correlation engine, PVC integrates a Multi-Day OHLC module that automatically projects up to 10 previous-day levels (High, Low, Close, and VWAP).
These act as natural liquidity magnets and reaction zones where price often pauses or reverses.
Users can customize:
• Line colors for each level type
• Universal or per-type line thickness
• Number of days to display (1–10)
This turns the indicator into a complete context map—linking current price–volume behavior with historical reference levels.
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6️⃣ Alerts & Practical Use
Built-in alerts trigger on:
• True Bull Move / True Bear Move (momentum confirmation)
• Buy / Sell Signals (multi-bar strength filter)
• Bullish / Bearish Liquidity Sweep (stop-hunt detection)
Best use cases
• Identify whether a breakout is real or fading before entering.
• Confirm reversals with simultaneous volume confirmation + liquidity flush.
• Combine with VWAP or structure tools to align with institutional footprints.
⸻
7️⃣ Why PVC is Original
While most volume indicators only show totals or ratios, PVC focuses on behavioral correlation—the timing and agreement between price change and participation.
By merging price–volume validation, trap detection, and multi-day liquidity mapping inside one unified system, PVC provides a contextual narrative of market strength that no single classic indicator offers.
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How to Use
1. Apply on any timeframe or instrument.
2. Observe candle colors for confirmation or divergence.
3. Watch the dashboard: when both Price UP + Volume Rising + True Move + Buy Active, the move has strong backing.
4. If “False Move” or “Liquidity Sweep” appears, expect a possible reversal.
5. Align entries with daily VWAP/High/Low zones for confluence.
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⚠️ Disclaimer
This script is for educational and analytical purposes.
It does not constitute financial advice or a guaranteed signal system.
Always confirm with your broader trading strategy and risk management.
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Smart Risk - Three Institutional Models📘 Smart Risk – Three Institutional Entry Models
A precision-engineered institutional framework that blends liquidity, structure, and multi-time-frame confirmation.
🧠 Concept Overview
The Smart Risk indicator models how institutional traders and algorithms engineer entries around liquidity, imbalance, and structural shifts .
It unifies t hree distinct institutional entry models —each built around core Smart Money Concepts (SMC)—and enhances them with a Multi-Time-Frame Confluence (MTF) engine for directional alignment.
This tool doesn’t simply merge indicators.
It connects l iquidity sweeps, order-block reactions, breaker validation, and fair-value-gap mitigation into one cohesive trading logic—filtering every setup through trend, structure, and volume confirmation.
⚙️ How It Works
Setup #1 – Liquidity Sweep + Order Block Revisit + FVG Mitigation
Identifies engineered stop-hunts where price sweeps external liquidity and returns to a prior Order Block or Fair Value Gap (FVG).
Signals reversal-style entries with high probability of mean-reversion or mitigation.
Setup #2 – Supply/Demand + Mitigation / Breaker / FVG Continuation
Captures continuation trades inside trending structure.
When trend bias (via moving-average context) aligns with breaker or mitigation blocks, signals confirm institutional continuation sequences.
Setup #3 – Sweep + Classic FVG Reaction
Tracks clean displacement gaps following a liquidity sweep—ideal for scalpers and intraday reversals where imbalances act as magnets for price.
Each setup can be independently enabled or disabled from the panel.
A built-in signal-cooldown prevents repetitive triggers on the same leg.
🕒 Multi-Time-Frame Confluence
The new MTF module aligns lower-time-frame precision entries with higher-time-frame market structure.
When enabled, each setup only validates if the HTF trend confirms the same directional bias as the LTF pattern—e.g. a 5-minute bullish FVG signal requires a bullish 1-hour structure.
This ensures institutional logic respects global liquidity flow and avoids counter-trend traps.
MTF Controls:
• ✅ Enable MTF Confluence toggle
• ⏱️ Lower Time-Frame (LTF) selector (default 5 min)
• ⏱️ Higher Time-Frame (HTF) selector (default 1 hour)
• 🔄 Automatic SMA-based HTF trend detection
🎨 Visualization & Dashboard
• Order Block / Supply–Demand Zones — highlight institutional footprints
• Fair Value Gaps (FVGs) — reveal displacement inefficiencies
• Liquidity Sweeps (X / $) — mark engineered stops
• BOS & CHoCH — confirm structure continuation or reversal
• Compact Dashboard — live “Armed” state for each setup and MTF bias
Color-coded background cues emphasize active trade phases without clutter.
🧩 Core Algorithm Highlights
• Dynamic swing and pivot structure detection
• Breaker / Mitigation / Volume confirmation filters
• Fair-Value-Gap logic with directional alignment
• Cooldown control for signal throttling
• Multi-Time-Frame bias filter for contextual precision
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📈 How to Use
1. Apply indicator to any asset or timeframe.
2. Select which institutional setups you want active.
3. Optionally enable MTF Confluence (5 min → 1 hr recommended).
4. Wait for BOS/CHoCH confirmation + zone alignment before entry.
5. Use OB and FVG zones for entry/exit planning with risk management.
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💡 Originality Statement
This script introduces a multi-layered institutional logic engine that merges liquidity, mitigation, and imbalance behavior into a unified framework—augmented with time-frame synchronization and signal-cooldown management.
All logic, calculations, and visualization structure were built from scratch for this model.
It is not a mash-up of existing public indicators and offers measurable analytical value through MTF-aware trade validation.
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⚠️ Disclaimer
This tool is intended for educational and analytical purposes only.
It does not provide financial advice or guaranteed trading outcomes.
Always back-test, validate setups, and apply proper risk management.
B A N K $ - Breaks & SweepsThis indicator automatically maps on Breaks of Structure & Liquidity Sweeps. It works by calculating pivot points based on how many candles are above/below either side of a pivot.
The user can manually set how many candles need to be above/below either side of a pivot if they would prefer to change it.
The indicator will dynamically adjust the lines as the user changes timeframe to allow for seamless analysis.
Features
Break of Structure lines
Liquidity Sweep lines
Dealing Range - this allows the user to visualise the current dealing range
Explanation
A sweep is determined by whether a candle closes through a pivot point with a body closure or not. If the candle wicks this level but fails to close through it, the line will turn red to indicate a liquidity sweep.
If the following 3 candles go on to close through the break line, this will then update it from a red sweep line to the normal break line again. (sometimes the initial candle that touches a level will not close through it but price will continue to break that level in the next few candles).
BTC Regime Phase [HY|YC|GLI]The correlation between global liquidity and INDEX:BTCUSD has attracted a lot of attention. Building on this insight, I developed an indicator that not only tracks global liquidity but also integrates the high‑yield spread and yield‑curve slope to capture credit risk and growth expectations.
Essence and Logic
At its core, the Risk‑On Composite Z‑Score converts three macro factors global liquidity momentum, the US high‑yield spread and the slope of the US yield curve into standardized Z‑scores, weights them, and tracks moving‑average crossovers. Each factor has a rationale: high‑yield spreads are powerful business‑cycle indicators and often outperform other financial variables (Gertler & Lown, 2000). Yield‑curve steepness reflects investor optimism and prompts shifts toward riskier assets global liquidity drives cross‑border flows and risk sentiment (Goldberg, 2023; Lee, 2024). Combining these measures gives a composite signal that has historically aligned well with Bitcoin’s tops and bottoms. Usable also for other crypto coins: INDEX:ETHUSD CRYPTO:SOLUSD CRYPTO:LINKUSD
Limitations and My Current Model Outlook
I want to be transparent: the three model sections are highly correlated. Currently, the high‑yield spread and yield curve data come only from the US; I may add Euro or Japanese spreads later. I’m also aware that macro dynamics are evolving. Fiscal policy and political choices could shorten bear markets and make the current sell signals less relevant. In a stagflationary world, inflation‑adjusted liquidity may swing more violently and require an asset‑inflation adjustment. Yet, the model has captured Bitcoin’s tops and bottoms almost to the week—future patterns may rhyme, not repeat.
Questions and Ideas:
Do you think this model will still be useful as fiscal and monetary regimes shift?
Should I add a stagnation modulation perhaps real yields or inflation‑adjusted liquidity—to better capture a stagflation scenario?
Are there high‑yield spreads on TV beyond the US that I should include? (Euro and Japan indices do exist.)
Would it make sense to incorporate Bitcoin halving events or a stock‑to‑flow module?
The indicator is free to use. If it brings you value, you’re welcome to follow for updates. I appreciate your support and feedback. When you are interested in the source code, feel free to contact me for more details. When you feel like supporting me with some sats, contact me and I will give you a Lightning address. I am a student and that would help a lot – but please only if you can afford it!
♡ Thanks to everyone who contributes insight on TradingView ♡
© Robinhodl21
Features: Users can enable or disable each component, adjust weights and choose a short‑tenor (1‑year or 2‑year) for the yield curve. The script automatically scales lookback windows based on the chart timeframe (daily, weekly or monthly). It offers visual plots of each Z‑score, the composite score, and smoothed moving averages, with background colours highlighting regimes and markers for entries and exits. Trade logic includes optional dip‑buy triggers when the composite falls below a threshold, Friday‑only execution on daily charts to reduce whipsaws. A trend table summarises current Z‑scores and their trends. Settings are tuned for BTC weekly data but should be adjusted for other assets or timeframes. Because some inputs (e.g., GLI weights) have limited historical data, long backtests may be less reliable when using on other Risk On Assets like NASDAQ:NDX NCDEX:COPPER
‼ Disclaimer: This indicator is for educational purposes and does not constitute investment advice. Markets involve risk; past performance is not indicative of future results. Users should not rely solely on this script for trading decisions. Always test and adapt settings to your asset, timeframe and risk tolerance. The author assumes no liability for any trading losses.
Literature:
Gertler, M., & Lown, C. S. (2000). The information in the high yield bond spread for the business cycle: Evidence and some implications. NBER Working Paper 7549.
Lee, B. (2024). Staying ahead of the yield curve. CME Group.
McCauley, R. N. (2012). Risk‑on/risk‑off, capital flows, leverage and safe assets. BIS Working Paper 382.
Goldberg, L. (2023). Global liquidity: Drivers, volatility and toolkits. Federal Reserve Bank of New York Staff Report 1064.
FRED (2025). ICE BofA Euro High Yield Index Option‑Adjusted Spread (BAMLHE00EHYIOAS). St. Louis Fed Data.
Office of Financial Research (2025). Financial Stress Index sources: High yield indices..
Tashev, T. (2025). The Bitcoin Stock‑to‑Flow Model: A comprehensive guide. Webopedia.
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.
The buyer is responsible for canceling their subscription if they no longer wish to continue at the full retail price. Our policy does not include reimbursement, refunds, or chargebacks once the Terms and Conditions are accepted before purchase.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer.
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.
Paneksu Smart Liquidity & SessionsOVERVIEW:
This indicator is designed for ICT/SMC traders. It visualizes key trading
sessions (Asia, London, New York) and automatically marks significant
High/Low liquidity pools.
KEY FEATURES:
1. Smart Liquidity: Liquidity lines extend into the future and automatically
stop drawing (cut off) once the price sweeps the level. This ensures
only untested liquidity is shown.
2. Precision Anchoring: Lines originate exactly from the pivot High/Low
timestamp for maximum accuracy on higher timeframes.
3. Main Session Focus: Allows you to hide the background box of your
active trading session for the current day to keep the chart clean,
while still showing historical data.
4. Auto-Timeframe: Visuals are automatically disabled on timeframes
higher than 5 minutes to prevent clutter.
SETTINGS:
- Main Trading Session: Select the session you trade to hide its current box.
- Show History: Toggle to keep old swept lines or show only fresh ones.
Smart Liquidity 📊 # 💎 Smart Liquidity Indicator - User Guide
## 📋 Overview
**Smart Liquidity Indicator** is an advanced technical analysis tool for analyzing liquidity and volume in financial markets. It combines several powerful analytical tools to help you make informed trading decisions.
---
## 🎯 Main Components
### 1. 📊 Volume Profile
- **Function**: Displays volume distribution across different price levels
- **Benefit**: Identify strong support and resistance zones based on trading activity
- **Elements**:
- Colored boxes representing volume density at each level
- Labels showing HIGH/LOW of the price range
- PEAK FLOW line indicating the strongest volume level
### 2. 📦 Order Blocks
- **Function**: Identify bullish and bearish Order Block zones
- **Benefit**: Potential areas for price reversal or trend continuation
- **Displayed Information**:
- Delta %: Zone strength (difference between buying and selling pressure)
- Liquidity: Accumulated liquidity in the zone
- Buy/Sell ratios within the zone
### 3. 📈 SuperTrend (Market Direction)
- **Two lines for confirmation**:
- **🎯 Current SuperTrend** (Green/Red): Current timeframe direction
- **🔄 MTF SuperTrend** (Light Green/Red): Higher timeframe direction (4H default)
- **Benefit**: Trade with the overall market trend
### 4. 📊 Dashboard (Information Panel)
- Display current market status
- Trend and momentum information
- Active Order Blocks statistics
---
## 🚀 How to Use
### 1️⃣ **Reading Volume Profile**
- **Dense boxes** = High volume accumulation areas = Strong support/resistance
- **PEAK FLOW line** = Strongest price level (POC - Point of Control)
- **HIGH/LOW Labels** = Boundaries of the analyzed price range
### 2️⃣ **Analyzing Order Blocks**
- **Positive Delta (+)** = Strong buying pressure → Reliable bullish zone
- **Negative Delta (-)** = Strong selling pressure → Reliable bearish zone
- **Delta near 0** = Balance → Weak zone, avoid it
### 3️⃣ **Using SuperTrend**
- **Current TF (Green bullish / Red bearish)**: Current timeframe direction
- **MTF (Light Green bullish / Light Red bearish)**: Higher timeframe direction
- **Best Trading**: When both lines agree on the same direction
### 4️⃣ **Suggested Strategy**
```
✅ Strong Entry Signal:
1. Order Block with strong Delta (>30% or <-30%)
2. Current SuperTrend and MTF in the same direction
3. Volume Profile confirms the level (dense box or PEAK)
4. Price tests the zone for the first time
❌ Avoid Entry When:
- Weak Delta (between -10% and +10%)
- Conflict between Current and MTF SuperTrend
- Zone tested multiple times (weakened)
```
---
## 🎨 Understanding Colors
### Order Blocks
- 🟢 **Green**: Bullish Order Block
- 🔴 **Red**: Bearish Order Block
### SuperTrend
- 🟢 **Green**: Current SuperTrend bullish (same color as Order Blocks)
- 🔴 **Red**: Current SuperTrend bearish (same color as Order Blocks)
- 🟢 **Light Green**: MTF SuperTrend bullish
- 🔴 **Light Red**: MTF SuperTrend bearish
**Note**: Each SuperTrend has different transparency levels based on trend strength
### Volume Profile
- **Gradient from light to dark**: Represents volume density (darker = higher volume)
---
## ⚡ Performance Tips
### For Maximum Speed (Current Settings):
✅ **Enabled**:
- Order Blocks: 2 zones per side
- Volume Profile: 20 levels
- SuperTrends: Both active
- Strength Delta: Displayed
❌ **Disabled** (for speed):
- Gradient Fill
- Predictive Zones
- Background Fill
- MTF Calculations (in internal calculations)
### If Indicator is Slow:
1. Reduce `Profile Rows` from 20 → 15
2. Reduce `Lookback Period` from 50 → 40
3. Reduce `Max Zones` from 2 → 1
4. Turn off `Show OB Labels` if not needed
---
## 🔄 Additional Tools
### ♻️ Reset Now
- **Location**: Visual Tweaks
- **Usage**: If Volume Profile is cluttered, enable it to redraw
- **Note**: Disable after use
### 🎯 Draw Mode
- **Live**: Direct drawing on the last candle
- **Confirmed**: Draw only on closed candles (more stable)
---
## ⚠️ Disclaimer
### 🚨 Important Notice
**This indicator is a technical analysis tool only and is not considered financial advice or a trading recommendation.**
#### 📌 Please Note:
1. **Just an Analytical Tool**:
- The indicator provides technical information based on historical data
- Past results do not guarantee future results
2. **Personal Responsibility**:
- You are solely responsible for your own trading decisions
- Conduct your own research before making any investment decision
- Use appropriate risk management (Stop Loss, Position Sizing)
3. **No Guarantees**:
- There is no guarantee of profit or success in trading
- Financial markets carry high risks
- You may lose your entire invested capital
4. **Consult a Professional**:
- Consult a licensed financial advisor before making important investment decisions
- Ensure you fully understand the risks associated with trading
5. **Proper Use**:
- The indicator is designed as an assistive tool, not an automated trading system
- Preferably combine it with your own analysis and other tools
- Do not rely on a single signal alone
#### ⚖️ Acceptance:
By using this indicator, you acknowledge and agree that:
- The indicator developer is not responsible for any financial losses
- All trading decisions are your personal responsibility
- You understand the risks associated with trading in financial markets
---
## 💡 Final Advice
**"The best traders use tools wisely, not blindly"**
- Learn how the indicator works before relying on it
- Test settings on a demo account first
- Always use Stop Loss
- Don't risk more than you can afford to lose
---
## 📞 Contact and Support
**If you need any help or have any questions, feel free to contact me.**
I'm here to help you understand and use the indicator correctly! 🤝
---
**Good Luck & Trade Safe! 🚀📈**
Previous Period High/Low LevelsThis indicator plots the previous day, week, and month high and low levels to highlight key liquidity levels.
Perfect for traders using market structure, liquidity, or SMC concepts.
Features:
Auto-plots PDH/PDL, PWH/PWL, and PMH/PML
Adjustable line styles, widths, and label sizes
Toggle price display on or off
Accurate UTC offset handling
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.
