M2 Liqudity WaveGlobal Liquidity Wave Indicator (M2-Based)
The Global Liquidity Wave Indicator is designed to track and visualize the impact of global M2 liquidity on risk assets—especially those highly correlated to monetary expansion, like Bitcoin, MSTR, and other macro-sensitive equities.
Key features include:
Leading Signal: Historically leads Bitcoin price action by approximately 70 days, offering traders and analysts a forward-looking edge.
Wave-Based Projection: Visualizes a "probability cloud"—a smoothed band representing the most likely trajectory for Bitcoin based on changes in global liquidity.
Min/Max Offset Controls: Adjustable offsets let you define the range of lookahead windows to shape the wave and better capture liquidity-driven inflection points.
Explicit Offset Visualization: Option to manually specify an exact offset to fine-tune the overlay, ideal for testing hypotheses or aligning with macro narratives.
Macro Alignment: Particularly effective for assets with high sensitivity to global monetary policy and liquidity cycles.
This tool is not just a chart overlay—it's a lens into the liquidity engine behind the market, helping anticipate directional bias in advance of price moves.
How to use?
- Enable the indicator for BTCUSD.
- Set Offset Range Start and End to 70 and 115 days
- Set Specific Offset to 78 days (this can change so you'll need to play around)
FAQ
Why a global liquidity wave?
The global liquidity wave accounts for variability in how much global liquidity affects an underlying asset. Think of the Global Liquidity Wave as an area that tracks the most probable path of Bitcoin, MSTR, etc. based on the total global liquidity.
Why the offset?
Global liquidity takes time to make its way into assets such as #Bitcoin, Strategy, etc. and there can be many reasons for that. It's never a specific number of days of offset, which is why a global liquidity wave is helpful in tracking probable paths for highly correlated risk assets.
חפש סקריפטים עבור "liquidity"
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
QuantFrame | FractalystWhat’s the purpose of this indicator?
The purpose of QuantFrame is to provide traders with a systematic approach to analyzing market structure, eliminating subjectivity, and enhancing decision-making. By clearly identifying and labeling structural breaks, QuantFrame helps traders:
1. Refine Market Analysis: Transition from discretionary market observation to a structured framework.
2. Identify Key Levels: Highlight important liquidity and invalidation zones for potential entries, exits, and risk management.
3. Streamline Multi-Timeframe Analysis: Track market trends and structural changes across different timeframes seamlessly.
4. Enhance Consistency: Reduce guesswork by following a rule-based methodology for identifying structural breaks.
How Does This Indicator Identify Market Structure?
1. Swing Detection
• The indicator identifies key swing points on the chart. These are local highs or lows where the price reverses direction, forming the foundation of market structure.
2. Structural Break Validation
• A structural break is flagged when a candle closes above a previous swing high (bullish) or below a previous swing low (bearish).
• Break Confirmation Process:
To confirm the break, the indicator applies the following rules:
• Valid Swing Preceding the Break: There must be at least one valid swing point before the break.
3. Numeric Labeling
• Each confirmed structural break is assigned a unique numeric ID starting from 1.
• This helps traders track breaks sequentially and analyze how the market structure evolves over time.
4. Liquidity and Invalidation Zones
• For every confirmed structural break, the indicator highlights two critical zones:
1. Liquidity Zone (LIQ): Represents the structural liquidity level.
2. Invalidation Zone (INV): Acts as Invalidation point if the structure fails to hold.
What do the extremities show us on the charts?
When using QuantFrame for market structure analysis, the extremities—Liquidity Level (LIQ) and Invalidation Level (INV)—serve as critical reference points for understanding price behavior and making informed trading decisions.
Here's a detailed explanation of what these extremities represent and how they function:
Liquidity Level (LIQ)
Definition: The Liquidity Level is a key price zone where the market is likely to retest, consolidate, or seek liquidity. It represents areas where orders are concentrated, making it a high-probability reaction zone.
Purpose: Traders use this level to anticipate potential pullbacks or continuation patterns. It helps in identifying areas where price may pause or reverse temporarily due to the presence of significant liquidity.
Key Insight: If a candle closes above or below the LIQ, it results in another break of structure (BOS) in the same direction. This indicates that price is continuing its trend and has successfully absorbed liquidity at that level.
Invalidation Level (INV)
Definition: The Invalidation Level marks the threshold that, if breached, signifies a structural shift in the market. It acts as a critical point where the current market bias becomes invalid.
Purpose: This level is often used as a stop-loss or re-evaluation point for trading strategies. It ensures that traders have a clear boundary for risk management.
Key Insight: If a candle closes above or below the INV, it signals a shift in market structure:
A closure above the INV in a bearish trend indicates a shift from bearish to bullish bias.
A closure below the INV in a bullish trend indicates a shift from bullish to bearish bias.
What does the top table display?
The top table in QuantFrame serves as a multi-timeframe trend overview. Here’s what it provides:
1. Numeric Break IDs Across Multiple Timeframes:
• Each numeric break corresponds to a confirmed structural break on a specific timeframe, helping traders track the most recent breaks systematically.
2. Trend Direction via Text Color:
• The color of the text reflects the current trend direction:
• Blue indicates a bullish structure.
• Red signifies a bearish structure.
3. Higher Timeframe Insights Without Manual Switching:
• The table eliminates the need to switch between timeframes by presenting a consolidated view of the market trend across multiple timeframes, saving time and improving decision-making.
What is the Multi-Timeframe Trend Score (MTTS)?
MTTS is a score that quantifies trend strength and direction across multiple timeframes.
How does MTTS work?
1. Break Detection:
• Analyzes bullish and bearish structural breaks on each timeframe.
2. Trend Scoring:
• Scores each timeframe based on the frequency and quality of bullish/bearish breaks.
3. MTTS Calculation:
• Averages the scores across all timeframes to produce a unified trend strength value.
How is MTTS interpreted?
• ⬆ (Above 50): Indicates an overall bullish trend.
• ⬇ (Below 50): Suggests an overall bearish trend.
• ⇅ (Exactly 50): Represents a neutral or balanced market structure.
How to Use QuantFrame?
1. Implement a Systematic Market Structure Framework:
• Use QuantFrame to analyze market structure objectively by identifying key structural breaks and marking liquidity (LIQ) and invalidation (INV) zones.
• This eliminates guesswork and provides a clear framework for understanding market movements.
2. Leverage MTTS for Directional Bias:
• Refer to the MTTS table to identify the multi-timeframe directional bias, giving you the broader market context.
• Align your trading decisions with the overall trend or structure to improve accuracy and consistency.
3. Apply Your Preferred Entry Model:
• Once the market context is clear, use your preferred entry model to capitalize on the identified structure and trend.
• Manage trades dynamically as price delivers, using the provided liquidity and invalidation zones for risk management.
What Makes QuantFrame Original?
1. Objective Market Structure Analysis:
• Unlike subjective methods, QuantFrame uses a rule-based approach to identify structural breaks, ensuring consistency and reducing emotional decision-making.
2. Multi-Timeframe Integration:
• The MTTS table consolidates trend data across multiple timeframes, offering a bird’s-eye view of market trends without the need to switch charts manually.
• This unique feature allows traders to align strategies with higher-timeframe trends for more informed decision-making.
3. Liquidity and Invalidation Zones:
• Automatically marks Liquidity (LIQ) and Invalidation (INV) zones for every structural break, providing actionable levels for entries, exits, and risk management.
• These zones help traders define their risk-reward setups with precision.
4. Dynamic Trend Scoring (MTTS):
• The Multi-Timeframe Trend Score (MTTS) quantifies trend strength and direction across selected timeframes, offering a single, consolidated metric for market sentiment.
• This score is visualized with intuitive symbols (⬆, ⬇, ⇅) for quick decision-making.
5. Numeric Labeling of Breaks:
• Each structural break is assigned a unique numeric ID, making it easy to track, analyze, and backtest specific market scenarios.
6. Systematic Yet Flexible:
• While it provides a structured framework for market analysis, QuantFrame seamlessly integrates with any trading style. Traders can use it alongside their preferred entry models, adapting it to their unique strategies.
7. Enhanced Market Context:
• By combining structural insights with directional bias (via MTTS), the indicator equips traders with a complete market context, enabling them to make better-informed decisions.
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.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst use, reproduction, or distribution of these proprietary elements is prohibited.
By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Hourly Trading System (Zeiierman)█ Overview
The Hourly Trading System (Zeiierman) is designed to enhance your trading by highlighting critical price levels and trends on an hourly basis. This indicator plots the open prices of hourly and 4-hour candles, visualizes retests, displays average price lines, and overlays higher timeframe candlesticks. It is particularly beneficial for intraday traders seeking to capitalize on short-term price movements and volume patterns.
█ How It Works
This indicator works by plotting significant price levels and zones based on hourly and 4-hour candle opens. It also includes functionalities for identifying retests of these levels, calculating and displaying average prices, and showing high and low labels for each hour.
█ Timeframe
The Hourly Trading System is designed to be used on the 1-minute or 5-minute timeframe. This system is tailored for intraday trading, allowing traders to find optimal entries around hourly opening levels and providing an easy method to identify the hourly trend. It works effectively on any market.
█ How to Use
Trend Analysis
Quickly gauge where the current price stands relative to key hourly and 4-hour levels. The plotted lines and zones serve as potential support and resistance areas, helping traders identify crucial points for entry or exit.
Utilize the 1-hour average and higher timeframe candles to understand the overall market trend. Aligning intraday strategies with larger trends can enhance trading decisions.
Use the bar coloring to quickly gauge the 1-hour trend on a lower timeframe. The bar colors indicate whether the hourly trend is bullish (green) or bearish (red), helping traders make quicker decisions in alignment with the overall trend.
Retest Identification
Enable retest signals to see where the price retested the hourly open levels. These retest points often signal strong price reactions, offering opportunities for trades based on support/resistance flips.
One effective strategy to incorporate is looking for price flips when a new hour starts. This approach involves monitoring price action at the beginning of each hour. If the price breaks and retests the hourly open level with strong momentum, it could indicate a potential trend reversal or continuation. This strategy is effective in volatile markets where price movements are significant at the start of each new hour.
Liquidity Sweep Strategy
Another common and effective strategy is the liquidity sweep. This involves identifying key levels where liquidity is likely to accumulate, such as previous hour highs and lows, and observing how the price interacts with these price levels. When the price sweeps through these levels, triggering stop-loss orders or pending orders, it often results in a sharp price movement followed by a reversal. Traders can capitalize on these movements by entering trades in the direction of the reversal once the liquidity sweep has occurred.
Equal Highs and Lows Strategy
The Equal Highs and Lows strategy leverages the concept of identifying levels where the price forms multiple highs or lows at the same level over different hourly periods. These equal highs and lows often indicate strong support or resistance levels where liquidity is accumulated. When the price approaches these levels, it is likely to trigger stop-loss orders and lead to significant price movements. Traders can look for breakouts or reversals around these levels to enter trades with higher probability setups.
█ Settings
Zone Width: Specifies the width of the zone around the 1-Hour Open as a percentage. Adjust this to widen or narrow the zone.
Show Retests: Enables or disables the display of retest markers. Retest markers show where the price has retested the 1-Hour Open line.
Number of Retests: Sets the number of retests to display. Adjust this to see more or fewer retest markers.
Volume Filter: Enables or disables the volume filter for retests. Use this to highlight retests with significant volume.
Volume Filter Length: Sets the length of the volume filter, smoothing the volume data to reduce noise.
1-Hour Average Line: Enables or disables the 1-hour average price line. This line shows the average price over the past hour.
Hourly High & Low Labels: Enables or disables the display of hourly high and low labels, marking the highest and lowest prices within each hour.
Candlesticks: Enables or disables the display of candlesticks on the chart, providing a detailed view of price action.
Bar Color: Enables or disables bar coloring based on price direction, with up bars in green and down bars in red.
Timeframe: Sets the timeframe for higher timeframe candles. Adjust this to match the period you want to analyze.
Number of Candles: Sets the number of higher timeframe candles to display. Increase this to see more candles on the chart.
Location: Sets the location for higher timeframe candles, allowing you to position them left or right on the chart.
-----------------
Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
Global Liquidity Index (Candles)The Global Liquidity Index (Candles) provides a comprehensive overview of major central bank balance sheets worldwide, presenting values converted to USD for consistency and comparability, following relevant forex rates. This indicator, based on the code developed by user ingeforberg , incorporates essential US accounts including the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP), subtracted from the Federal Reserve's balance sheet to offer a nuanced perspective on US liquidity. Users can tailor their analysis by selectively enabling or disabling specific central banks and special accounts according to their preferences. The index exclusively includes central banks abstaining from currency pegging and with reliable data accessible since late 2007, ensuring a robust aggregated liquidity model.
The calculation of the Global Liquidity Index involves subtracting the Treasury General Account (TGA) and Reverse Repurchase Agreements (RRP) from the Federal Reserve System (FED) and adding the balance sheets of major central banks worldwide: the European Central Bank (ECB), the People's Bank of China (PBC), the Bank of Japan (BOJ), the Bank of England (BOE), the Bank of Canada (BOC), the Reserve Bank of Australia (RBA), the Reserve Bank of India (RBI), the Swiss National Bank (SNB), the Central Bank of the Russian Federation (CBR), the Central Bank of Brazil (BCB), the Bank of Korea (BOK), the Reserve Bank of New Zealand (RBNZ), Sweden's Central Bank (Riksbank), and the Central Bank of Malaysia (BNM).
This tool proves invaluable for individuals seeking a consolidated perspective on global liquidity to interpret macroeconomic trends. Analyzing these balance sheets enables users to discern policy trajectories and assess the global economic landscape, providing insights into asset pricing and assisting investors in making well-informed capital allocation decisions. Historically, assets perceived as riskier, such as small caps and cryptocurrencies, have tended to perform favorably during periods of escalating liquidity. Thus, investors may exercise caution regarding additional risk exposure unless a sustained upward trend in global liquidity is evident.
Main differences between the original and updated indicators:
The "Global Liquidity Index (Candles)" script, compared to the original "Global Liquidity Index" script, offers a more detailed and visually rich representation of liquidity data.
"Global Liquidity Index (Candles)" employs candlestick visualization to represent liquidity data. Each candlestick encapsulates open, high, low, and close prices over a given period. This format provides granular insights into liquidity fluctuations, facilitating a more nuanced analysis.
By using candlesticks, the script offers traders detailed information about liquidity dynamics. They can analyze the patterns formed by candlesticks to discern trends, reversals, and market sentiment shifts, aiding in making informed trading decisions.
Crypto USD LiquidityThe "Crypto USD Liquidity " indicator is designed to offer a comprehensive analysis of liquidity dynamics within the cryptocurrency market, specifically focusing on various stablecoins. This versatile tool allows users to tailor their analysis by adjusting key parameters such as the Rate of Change (ROC) length and the smoothing rate.
The indicator incorporates a user-friendly interface with options to selectively display the supply data for major stablecoins, including USDT, BUSD, USDC, DAI, and TUSD . Users can toggle these options to observe and compare the liquidity trends of different stablecoin assets.
The total liquidity is computed as the summation of the selected stablecoin supplies, providing a holistic view of the overall crypto market liquidity. The Rate of Change (ROC) and its smoothing are then applied to the aggregated liquidity data. This process helps users identify trends and potential turning points in the liquidity landscape.
The visual representation on the chart includes a color-coded display: positive changing ROC values are shaded in green, indicating potential increases in liquidity, while negative values are shaded in red, suggesting potential decreases. This color scheme enhances the user's ability to quickly interpret the changing dynamics of stablecoin liquidity.
Moreover, the script includes a Zero Line for reference and overlays the raw ROC values for additional insight. The resulting chart not only serves as a powerful analytical tool for traders and investors but also contributes to a deeper understanding of the nuanced movements within the broader cryptocurrency market.
In summary, the "Crypto USD Liquidity" Pine Script indicator empowers users with a customizable and visually informative tool for analyzing and interpreting the complex dynamics of stablecoin liquidity, facilitating more informed decision-making in the realm of cryptocurrency trading and investment.
Сoncentrated Market Maker Strategy by oxowlConcentrated Market Maker Strategy by oxowl. This script plots an upper and lower bound for liquidity provision, and checks for rebalancing conditions. It also includes alert conditions for when the price crosses the upper or lower bounds.
Here's an overview of the script:
It defines the input parameters: liquidity range percentage, rebalance frequency in minutes, and minimum trade size in assets.
It calculates the upper and lower bounds for liquidity provision based on the liquidity range percentage.
It initializes variables for the last rebalance time and price.
It defines a rebalance condition based on the frequency and current price within the specified range.
If the rebalance condition is met, it updates the last rebalance time and price.
It plots the upper and lower bounds on the chart as lines and adds price labels for both bounds.
It defines alert conditions for when the price crosses the upper or lower bounds.
Finally, it creates alert conditions with appropriate messages for when the price crosses the upper or lower bounds.
Concentrated liquidity is a concept often used in decentralized finance (DeFi) market-making strategies. It allows liquidity providers (LPs) to focus their liquidity within a specific price range, rather than across the entire price curve. Using an indicator with concentrated liquidity can offer several advantages:
Increased capital efficiency: Concentrated liquidity allows LPs to allocate their capital within a narrower price range. This means that the same amount of capital can generate more significant price impact and potentially higher returns compared to providing liquidity across a broader range.
Customized risk exposure: LPs can choose the price range they feel most comfortable with, allowing them to better manage their risk exposure. By selecting a range based on their market outlook, they can optimize their positions to maximize potential returns.
Adaptive strategies: Indicators that support concentrated liquidity can help traders adapt their strategies based on market conditions. For example, they can choose to provide liquidity around a stable price range during low-volatility periods or adjust their range when market conditions change.
To continue integrating this script into your trading strategy, follow these steps:
Import the script into your TradingView account. Navigate to the Pine editor, paste the code, and save it as a new script.
Apply the indicator to a trading pair chart. You can customize the input parameters (liquidity range percentage, rebalance frequency, and minimum trade size) based on your preferences and risk tolerance.
Set alerts for when the price crosses the upper or lower bounds. This will notify you when it's time to take action, such as adding or removing liquidity, or rebalancing your position.
Monitor the performance of your strategy over time. Adjust the input parameters as needed to optimize your returns and manage risk effectively.
(Optional) Integrate the script with a trading bot or automation platform. If you're using an API-based trading solution, you can incorporate the logic and conditions from the script into your bot's algorithm to automate the process of providing concentrated liquidity and rebalancing your positions.
Remember that no strategy is foolproof, and past performance is not indicative of future results. Always exercise caution when trading and carefully consider your risk tolerance.
SMC-Math by Thomas v1📌 SMC-Math by Thomas v1 — Description
SMC-Math by Thomas v1 is a complete Smart Money Concepts toolkit designed for traders who want a clean, mathematical, and structured view of market mechanics.
Rather than relying on abstract concepts or subjective drawings, this indicator focuses on rules-based detection of:
✔ Order Blocks (OB)
✔ Fair Value Gaps (FVG)
✔ Market Structure shifts (BoS / CHoCH)
✔ HTF trend confirmation
✔ Premium / Discount arrays
✔ Equal High & Equal Low Liquidity Zones (no hinting — expiry only)
This version is engineered for stability, clarity, and performance — with fully optimized array management, timestamp-based cleanup, and a clean visual presentation suitable for both discretionary and systematic trading.
📌 Key Features
🔹 1. Order Blocks (Bullish & Bearish)
Auto-detected using fractal swing highs/lows
Optional displacement + high volume filters
Midline display option
HTF trend alignment filter
Smart expiry + broken OB cleanup
Custom opacity, buffer, and extension controls
🔹 2. Fair Value Gaps (FVG)
Bullish and bearish gap detection
HTF confirmation-based dimming
No border for a clean ICT-style visuals
Auto remove when filled
Fully rule-based
🔹 3. Market Structure (BoS / CHoCH)
Based on fractal highs/lows
Automatic labeling (small, unobtrusive)
Direction validated by HTF option
Each structure level plotted with a projected line
Smooth, clean BOS/CHOCH flow
🔹 4. Premium / Discount Zones
Auto-calculated from most recent swing high & swing low
Box shading dynamically updates each bar
Helps identify optimal trade areas (OB → FVG → PD array)
🔹 5. Liquidity Zones (Equal Highs & Equal Lows)
This tool highlights where liquidity is likely resting:
Detects Equal Highs and Equal Lows using your tolerance or max difference
Auto-creates borderless shaded boxes
Adjustable box height and extension
NO hinting logic — the box remains for exactly cleanupDelay bars, then expires
Clean and predictable behavior, ideal for rule-based setups
This is especially useful for:
identifying buy-side and sell-side liquidity pools
anticipating runs on liquidity
targeting sweeps
🔹 6. HTF Status Panel
Shows higher-timeframe trend status on the live bar:
Bullish
Bearish
Or “HTF Not Required”
Useful for aligning entries with larger market flow.
📌 How to Use SMC-Math by Thomas v1
1️⃣ Identifying Direction
Start by reading:
HTF Trend Label
BOS & CHOCH reactions
Bullish: look for HL → HH structure + bullish OBs + bullish FVGs
Bearish: look for LH → LL structure + bearish OBs + bearish FVGs
This creates your directional bias.
2️⃣ Using Order Blocks
An OB is valid when:
It appears in line with structure
HTF alignment supports it (optional toggle)
Price returns after a displacement
OB is not “broken” (indicator handles this visually)
Use OBs as:
Rebalance targets
Entry areas
Stop placement logic
3️⃣ Fair Value Gaps
FVGs appear when price dislocates and leaves inefficiency.
Use them to:
Refine entries inside OBs
Project premium/discount zones
Identify continuation zones
The indicator auto-removes FVGs when filled.
4️⃣ Liquidity Zones
Liquidity zones identify resting orders at equal highs/lows.
This version uses simple expiry logic:
Box is created when EQH/EQL forms
It remains visible for 20 bars (default)
It disappears automatically after expiry
No hint/confirmation triggers deletion
Usage tips:
Expect price to run toward these zones
Use them as targets or continuation markers
Combine with OB/FVG for confluence
5️⃣ Premium / Discount Zones
Use PD arrays to gauge:
Premium = optimal shorting zones
Discount = optimal long zones
Not trade “in the middle” unless a clear BOS or CHoCH happens
📌 Recommended Workflow
HTF Bias → Check the HTF panel
Market Structure → Identify trend continuation or reversal
Liquidity → Mark where price is likely to target
FVG → Identify imbalance zones
OB → Confirm institutional origin points
PD Arrays → Determine optimal trade location
Execute with confluence
📌 Who Is This Indicator For?
✔ Traders using ICT / SMC logic
✔ Traders wanting rule-based, non-subjective markups
✔ Traders who want automated detection without repainting
✔ Anyone who uses OB, FVG, liquidity sweeps, and structure shifts
Obsidian Flux Matrix# Obsidian Flux Matrix | JackOfAllTrades
Made with my Senior Level AI Pine Script v6 coding bot for the community!
Narrative Overview
Obsidian Flux Matrix (OFM) is an open-source Pine Script v6 study that fuses social sentiment, higher timeframe trend bias, fair-value-gap detection, liquidity raids, VWAP gravitation, session profiling, and a diagnostic HUD. The layout keeps the obsidian palette so critical overlays stay readable without overwhelming a price chart.
Purpose & Scope
OFM focuses on actionable structure rather than marketing claims. It documents every driver that powers its confluence engine so reviewers understand what triggers each visual.
Core Analytical Pillars
1. Social Pulse Engine
Sentiment Webhook Feed: Accepts normalized scores (-1 to +1). Signals only arm when the EMA-smoothed value exceeds the `sentimentMin` input (0.35 by default).
Volume Confirmation: Requires local volume > 30-bar average × `volSpikeMult` (default 2.0) before sentiment flags.
EMA Cross Validation: Fast EMA 8 crossing above/below slow EMA 21 keeps momentum aligned with flow.
Momentum Alignment: Multi-timeframe momentum composite must agree (positive for longs, negative for shorts).
2. Peer Momentum Heatmap
Multi-Timeframe Blend: RSI + Stoch RSI fetched via request.security() on 1H/4H/1D by default.
Composite Scoring: Each timeframe votes +1/-1/0; totals are clamped between -3 and +3.
Intraday Readability: Configurable band thickness (1-5) so scalpers see context without losing space.
Dynamic Opacity: Stronger agreement boosts column opacity for quick bias checks.
3. Trend & Displacement Framework
Dual EMA Ribbon: Cyan/magenta ribbon highlights immediate posture.
HTF Bias: A higher-timeframe EMA (default 55 on 4H) sets macro direction.
Displacement Score: Body-to-ATR ratio (>1.4 default) detects impulses that seed FVGs or VWAP raids.
ATR Normalization: All thresholds float with volatility so the study adapts to assets and regimes.
4. Intelligent Fair Value Gap (FVG) System
Gap Detection: Three-candle logic (bullish: low > high ; bearish: high < low ) with ATR-sized minimums (0.15 × ATR default).
Overlap Prevention: Price-range checks stop redundant boxes.
Spacing Control: `fvgMinSpacing` (default 5) avoids stacking from the same impulse.
Storage Caps: Max three FVGs per side unless the user widens the limit.
Session Awareness: Kill zone filters keep taps focused on London/NY if desired.
Auto Cleanup: Boxes delete when price closes beyond their invalidation level.
5. VWAP Magnet + Liquidity Raid Engine
Session or Rolling VWAP: Toggle resets to match intraday or rolling preferences.
Equal High/Low Scanner: Looks back 20 bars by default for liquidity pools.
Displacement Filter: ATR multiplier ensures raids represent genuine liquidity sweeps.
Mean Reversion Focus: Signals fire when price displaces back toward VWAP following a raid.
6. Session Range Breakout System
Initial Balance Tracking: First N bars (15 default) define the session box.
Breakout Logic: Requires simultaneous liquidity spikes, nearby FVG activity, and supportive momentum.
Z-Score Volume Filter: >1.5σ by default to filter noisy moves.
7. Lifestyle Liquidity Scanner
Volume Z-Scores: 50-bar baseline highlights statistically significant spikes.
Smart Money Footprints: Bottom-of-chart squares color-code buy vs sell participation.
Panel Memory: HUD logs the last five raid timestamps, direction, and normalized size.
8. Risk Matrix & Diagnostic HUD
HUD Structure: Table in the top-right summarizes HTF bias, sentiment, momentum, range state, liquidity memory, and current risk references.
Signal Tags: Aggregates SPS, FVG, VWAP, Range, and Liquidity states into a compact string.
Risk Metrics: Swing-based stops (5-bar lookback) + ATR targets (1.5× default) keep risk transparent.
Signal Families & Alerts
Social Pulse (SPS): Volume-confirmed sentiment alignment; triangle markers with “SPS”.
Kill-Zone FVG: Session + HTF alignment + FVG tap; arrow markers plus SL/TP labels.
Local FVG: Captures local reversals when HTF bias has not flipped yet.
VWAP Raid: Equal-high/low raids that snap toward VWAP; “VWAP” label markers.
Range Breakout: Initial balance violations with liquidity and imbalance confirmation; circle markers.
Liquidity Spike: Z-score spikes ≥ threshold; square markers along the baseline.
Visual Design & Customization
Theme Palette: Primary background RGB (12,6,24). Accent shading RGB (26,10,48). Long accents RGB (88,174,255). Short accents RGB (219,109,255).
Stylized Candles: Optional overlay using theme colors.
Signal Toggles: Independently enable markers, heatmap, and diagnostics.
Label Spacing: Auto-spacing enforces ≥4-bar gaps to prevent text overlap.
Customization & Workflow Notes
Adjust ATR/FVG thresholds when volatility shifts.
Re-anchor sentiment to your webhook cadence; EMA smoothing (default 5) dampens noise.
Reposition the HUD by editing the `table.new` coordinates.
Use multiples of the chart timeframe for HTF requests to minimize load.
Session inputs accept exchange-local time; align them to your market.
Performance & Compliance
Pure Pine v6: Single-line statements, no `lookahead_on`.
Resource Safe: Arrays trimmed, boxes limited, `request.security` cached.
Repaint Awareness: Signals confirm on close; alerts mirror on-chart logic.
Runtime Safety: Arrays/loops guard against `na`.
Use Cases
Measure when social sentiment aligns with structure.
Plan ICT-style intraday rebalances around session-specific FVG taps.
Fade VWAP raids when displacement shows exhaustion.
Watch initial balance breaks backed by statistical volume.
Keep risk/target references anchored in ATR logic.
Signal Logic Snapshot
Social Pulse Long/Short: `sentimentEMA` gated by `sentimentMin`, `volSpike`, EMA 8/21 cross, and `momoComposite` sign agreement. Keeps hype tied to structural follow-through.
Kill-Zone FVG Long/Short: Requires session filter, HTF EMA bias alignment, and an active FVG tap (`bullFvgTap` / `bearFvgTap`). Labels include swing stops + ATR targets pulled from `swingLookback` and `liqTargetMultiple`.
Local FVG Long/Short: Uses `localBullish` / `localBearish` heuristics (EMA slope, displacement, sequential closes) to surface intraday reversals even when HTF bias has not flipped.
VWAP Raids: Detect equal-high/equal-low sweeps (`raidHigh`, `raidLow`) that revert toward `sessionVwap` or rolling VWAP when displacement exceeds `vwapAlertDisplace`.
Range Breakouts: Combine `rangeComplete`, breakout confirmation, liquidity spikes, and nearby FVG activity for statistically backed initial balance breaks.
Liquidity Spikes: Volume Z-score > `zScoreThreshold` logs direction, size, and timestamp for the HUD and optional review workflows.
Session Logic & VWAP Handling
Kill zone + NY session inputs use TradingView’s session strings; `f_inSession()` drives both visual shading and whether FVG taps are tradeable when `killZoneOnly` is true.
Session VWAP resets using cumulative price × volume sums that restart when the daily timestamp changes; rolling VWAP falls back to `ta.vwap(hlc3)` for instruments where daily resets are less relevant.
Initial balance box (`rangeBars` input) locks once complete, extends forward, and stays on chart to contextualize later liquidity raids or breakouts.
Parameter Reference
Trend: `emaFastLen`, `emaSlowLen`, `htfResolution`, `htfEmaLen`, `showEmaRibbon`, `showHtfBiasLine`.
Momentum: `tf1`, `tf2`, `tf3`, `rsiLen`, `stochLen`, `stochSmooth`, `heatmapHeight`.
Volume/Liquidity: `volLookback`, `volSpikeMult`, `zScoreLen`, `zScoreThreshold`, `equalLookback`.
VWAP & Sessions: `vwapMode`, `showVwapLine`, `vwapAlertDisplace`, `killSession`, `nySession`, `showSessionShade`, `rangeBars`.
FVG/Risk: `fvgMinTicks`, `fvgLookback`, `fvgMinSpacing`, `killZoneOnly`, `liqTargetMultiple`, `swingLookback`.
Visualization Toggles: `showSignalMarkers`, `showHeatmapBand`, `showInfoPanel`, `showStylizedCandles`.
Workflow Recipes
Kill-Zone Continuation: During the defined kill session, look for `killFvgLong` or `killFvgShort` arrows that line up with `sentimentValid` and positive `momoComposite`. Use the HUD’s risk readout to confirm SL/TP distances before entering.
VWAP Raid Fade: Outside kill zone, track `raidToVwapLong/Short`. Confirm the candle body exceeds the displacement multiplier, and price crosses back toward VWAP before considering reversions.
Range Break Monitor: After the initial balance locks, mark `rangeBreakLong/Short` circles only when the momentum band is >0 or <0 respectively and a fresh FVG box sits near price.
Liquidity Spike Review: When the HUD shows “Liquidity” timestamps, hover the plotted squares at chart bottom to see whether spikes were buy/sell oriented and if local FVGs formed immediately after.
Metadata
Author: officialjackofalltrades
Platform: TradingView (Pine Script v6)
Category: Sentiment + Liquidity Intelligence
Hope you Enjoy!
Simulated Liquidation Heatmap [QuantAlgo]🟢 Overview
This indicator visualizes where clusters of stop-loss orders and liquidation levels are likely located, displayed as a 'heatmap'. It's based on the concept of market structure liquidity: large groups of stop orders tend to gather around obvious technical levels (like swing highs and lows), and these pools of orders often attract price movement from institutional traders. The indicator uses a fractal-based algorithm to identify these high-probability liquidation zones and displays them as dynamic, color-coded boxes.
The key feature is the thermal color gradient, which indicates the freshness (age) and therefore the relative relevance of the liquidity zone. Hot colors (e.g., Red/Yellow) represent fresh clusters that have just formed, suggesting strong and immediate liquidity interest. Cold colors (e.g., Blue/Purple) represent aged or decaying clusters that are becoming less relevant over time. This visualization allows traders to anticipate potential liquidity sweeps (stop hunts) and understand areas of significant retail and institutional positioning.
🟢 Key Features
1. Liquidity Zone Heatmap
The core function is the identification of swing high and swing low price points using a user-defined Lookback period. These points are where retail traders are statistically most likely to place their stop-loss orders. The indicator simulates the clustering of these orders by drawing a zone (box) around the detected swing point, with the vertical size controlled by the Stop/Liquidation Zone Width (%) setting.
▶ Cluster Lookback: Defines the sensitivity of swing point detection. Lower values detect frequent, minor zones (scalping/intraday); higher values detect major, stronger swing points (swing trading).
▶ Zone Width (%): Sets the percentage range above and below the swing point where stops are simulated to cluster, accounting for slippage and typical stop placement spread.
▶ Liquidity Decay: Zones gradually fade in color intensity and are eventually removed after the user-defined Liquidity Decay Period (Bars), ensuring the heatmap only displays relevant, current liquidity areas.
▶ Round Number Filter: An optional filter that limits the display to liquidity zones occurring only at psychologically significant round numbers (e.g., $100, $1,500.00), which typically attract higher concentrations of orders.
2. Thermal Color Gradient
The heatmap's color is a direct function of the zone's age, providing a visual proxy for immediate relevance.
▶ Freshness: Newly created zones are displayed in the Hot Color (high relevance).
▶ Decay: As bars pass, the zone color transitions along the gradient toward the Cold Color and increased transparency (lower relevance), until it is removed entirely.
▶ Color Schemes: Multiple pre-configured and custom color schemes are available to optimize the visualization for different chart themes and color preferences.
3. Liquidity Heat Thermometer
An optional visual thermometer is displayed on the chart to provide an instant, overall assessment of the current liquidation heat level in the immediate vicinity of the price.
▶ Calculation: The thermometer calculates an aggregate heat score based on the age and proximity of all liquidity zones within a user-defined Zone Detection Range (%) of the current price.
▶ Visual Feedback: A marker (triangle) points to the corresponding level on the thermometer's color gradient (Hot to Cold). A high reading indicates price is close to fresh, dense stop clusters, suggesting high volatility or an imminent liquidity sweep is probable. A low reading indicates price is in a low-density or aged liquidity area.
▶ Customization: The thermometer's resolution, position, and text size are fully customizable for optimal chart placement and readability.
🟢 Practical Applications
▶ Anticipate Sweeps: Prioritize trading in the direction of Hot (fresh) liquidity zones. For example, a hot low-side zone suggests strong sell-side liquidity (stop-losses) is available for large buyers to sweep.
▶ Filter Noise: Use the Round Number Filter to focus only on the highest probability liquidation zones, which are often at clean, psychological price levels.
▶ Validate Entries: Combine the Heat Thermometer with price action analysis. A rising heat level indicates increasing proximity to a major stop cluster, signaling a potential turn or an aggressive market move to sweep those stops.
▶ Risk Management: Understand that price often acts dynamically around these zones. High heat levels imply high risk/reward setups; stops should be placed strategically beyond the defined Liquidation Zone Width.
▶ Multi-Timeframe Context: Higher timeframes (e.g., Daily, 4-Hour) often reveal more significant, major liquidity zones. Use this indicator on lower timeframes (e.g., 5-min, 15-min) for execution, but prioritize zones that align with higher-timeframe structures.
[Yorsh] BJN Liquidity Matrix v1.0Indicator Analysis & Performance Report: BJN Liquidity Matrix v1.0
1. Executive Summary
The BJN Liquidity Matrix v1.0 is a sophisticated, professional-grade trading indicator for TradingView, built on the modern PineScript v6. It is designed to provide traders with a comprehensive and highly customizable view of market liquidity, time-based events, and price structure.
Its primary differentiator in a crowded market is its performance-first architecture. While most multi-feature indicators cause significant chart lag and slow performance, this tool is meticulously engineered to be lightweight, fast, and reliable, ensuring that your trading analysis is never compromised by technical bottlenecks. It delivers a full suite of institutional trading concepts without sacrificing speed.
2. Core Features Overview
The indicator seamlessly integrates several key analytical concepts into a single, cohesive toolkit.
A. Advanced Time Analysis
Customizable Killzone Boxes: Automatically draws key trading sessions (Asia, London, NY AM, NY Lunch, NY PM) on the chart. This helps visualize the high and low of each session, which often act as critical support and resistance levels.
Session High/Low Lines: Extends horizontal lines from the identified highs and lows of each Killzone, allowing you to track these liquidity points throughout the trading day.
Macro Time Highlighting: Visually alerts you when the market enters specific "macro" time windows, which are often periods of increased volatility and algorithmic activity.
B. Multi-Layered Liquidity & Price Structure
Current Timeframe (CTF) Swings: Automatically identifies and plots short-term swing highs and lows on your active chart, providing a clear map of immediate liquidity pools.
Higher Timeframe (HTF) Liquidity: Plots key fractals from the 1-hour timeframe directly onto your chart, tagged as "1H
". This saves you from constantly switching timeframes to find significant swing points.
Previous Day High/Low (PDH/PDL): Clearly marks the previous day's high and low with clean, auto-adjusting labels. These are fundamental levels watched by all market participants.
C. Integrated Market Bias Tools
Daily BIAS: Draws a dynamic equilibrium price (50% level) based on the current day's developing range. This acts as a simple but powerful bias filter: favoring longs below it and shorts above it.
Probabilistic Hourly Bias: A unique feature that analyzes the closing price of the previous hourly candle to provide a statistical probability of the market taking out the previous hour's high or low.
D. The "Smart Status" Information Hub
This is the indicator's central dashboard. Instead of cluttering your chart with dozens of lines, this dynamic table intelligently sorts and displays the most relevant, un-taken liquidity levels above and below the current price. It automatically updates as levels are breached, providing a clean, at-a-glance view of:
Nearest Buy-Side & Sell-Side Liquidity
Untouched Session Highs/Lows
Active PDH/PDL levels
The Hourly Bias probability (when active and not taken)
3. The Performance Advantage: A Smoother Trading Experience
This indicator was engineered to outperform its competitors by focusing on computational efficiency. This is not just a feature; it is the core design philosophy.
Efficient Drawing Management: Most indicators slow down charts by continuously drawing thousands of objects over historical data. The BJN Liquidity Matrix uses an advanced system to only draw what is necessary. It intelligently limits drawings to a recent, user-defined period (e.g., the last 2 days), preventing historical clutter that cripples browser performance.
Smart De-Cluttering: Broken liquidity levels are not left on the chart indefinitely. The script will automatically hide old, irrelevant lines after a set number of hours, keeping your workspace clean and focused on current market structure.
Minimal Data Requests: The script uses internal caching for data like in example the Previous Day Highs/Lows. This means it fetches the data once and reuses it, drastically reducing requests to TradingView's servers and resulting in faster script loading times and reloads.
On-Demand Table Refresh: The comprehensive "Smart Status" table—a feature that would typically cause constant lag—is programmed to only perform its heavy recalculations on the very last bar. This means it doesn't slow down historical data or cause screen-tearing while the market is active.
In summary, you get all the analytical power without the lag, freezing, or slow loading times that plague other "all-in-one" liquidity indicators.
4. Ideal User Profile
This indicator is an ideal tool for:
Day Traders & Scalpers: Who rely on session liquidity and intraday price structure.
SMC / ICT Traders: Who base their strategies on concepts like liquidity grabs, fractals, and time-based models.
Performance-Conscious Traders: Anyone who uses multiple indicators or trades on a less powerful computer and cannot afford chart lag.
HTF Fractal Swings [BornKillerBee]Of course. A good description is key to helping other traders understand and use your script. Here are a few options, from a concise version to a more detailed one. You can mix and match parts as you see fit.
Option 1: Concise & To the Point
Title: HTF Fractal Swings
Description:
This indicator automatically identifies and plots significant swing highs (buyside liquidity) and swing lows (sellside liquidity) from a higher timeframe (HTF) directly onto your current chart.
It's designed for traders who use multi-timeframe analysis to map out market structure and identify key areas of interest for entries or targets. Lines extend into the future until price crosses them, providing a clean visual of which liquidity levels are still intact.
Features:
Plots HTF swing points on your lower timeframe chart.
Lines automatically stop extending once liquidity is taken.
Optional "Order Flow Leg" box to visualize the current dealing range between the last major high and low.
Fully customizable: Choose your HTF, number of swings to show, colors, and line styles.
Option 2: Detailed & Feature-Rich (Recommended)
Title: HTF Fractal Swings & Liquidity Visualizer
Description:
Overview
This powerful indicator is designed for price action and smart money concept (SMC) traders who rely on multi-timeframe analysis. It automatically detects Bill Williams' fractal swing points on a user-defined higher timeframe (HTF) and plots them with precision on your current, lower timeframe chart. This allows you to effortlessly track key market structure, identify pools of liquidity, and define the current trading range without ever leaving your chart.
Core Concepts & How to Use
Buyside & Sellside Liquidity: The plotted swing highs represent potential buyside liquidity, which can act as resistance or a target for bullish moves. Conversely, swing lows represent sellside liquidity, acting as potential support or a target for bearish moves.
Dynamic Levels: Lines for each swing level extend into the future, acting as a clear visual guide. When price trades through a level (based on your chosen "Cross Trigger Source"), the line stops extending and its color fades. This provides an instant signal that the liquidity at that price has likely been swept or "taken."
Order Flow Leg: When enabled, the script draws a box connecting the most recent swing high and swing low. This helps visualize the current dealing range or order flow leg. Traders may look for entries at a discount (below 50% of the range) or a premium (above 50%) to target the opposing side of the range.
Key Features
Multi-Timeframe Analysis, Simplified: Define any higher timeframe (e.g., '4H', '1D') and see its key structural points on your '5m' chart.
Precise Swing Placement: The script finds the exact LTF candle responsible for the HTF swing, ensuring the level is plotted with maximum accuracy.
Automatic Liquidity Tracking: Visually confirm when a liquidity level has been breached.
Customizable Display:
Set the number of recent swing highs and lows to track.
Choose whether a cross is triggered by the High/Low (wick) or the bar Close.
Fully control the colors, line styles, and widths for each timeframe.
Toggle the swing time on the labels for historical reference.
This tool is perfect for cleaning up your charts and focusing on the price levels that matter most.
ICT Order Blocks HTFICT Order Blocks HTF (with Parent Swing Confirmation)
This indicator is a powerful tool designed to identify high-probability Higher-Timeframe (HTF) Order Blocks by confirming them with significant liquidity sweeps on your trading chart. It combines two core ICT (Inner Circle Trader) concepts to filter out noise and highlight only the most sensitive areas.
The Core Concept: A High-Probability Model
The most powerful trading setups often occur when a significant event on a lower timeframe happens at a key area on a higher timeframe. This indicator automates that analysis by looking for a specific confluence:
A Liquidity Sweep (LTF): First, it identifies a "Parent Swing" on your current chart. This is a significant swing high (BSL - Buy Side Liquidity) or swing low (SSL - Sell Side Liquidity) that has been validated by a market structure shift. These are the key liquidity pools the market targets.
An Order Block (HTF): Separately, it looks at a higher timeframe of your choice (e.g., 15m, 1H) to find institutional order blocks—the last up or down candle before a strong move.
The Confluence: The magic happens here. The indicator will only draw an HTF order block on your chart if it forms at the exact moment the price is interacting with one of the BSL or SSL liquidity pools from your current chart.
This dual confirmation provides a refined, high-probability signal, indicating that a major liquidity event is fueling a reaction from a significant HTF level.
What the Indicator Does
Identifies Parent Swings: In the background, it constantly tracks and identifies BSL (red lines) and SSL (green lines) on your chart.
Finds HTF Order Blocks: It looks for bullish (last down-candle) and bearish (last up-candle) order blocks on the higher timeframe you select.
Draws Confirmed Zones: It draws a Bullish OB (Blue Box) only when an HTF bullish order block forms at an SSL level. It draws a Bearish OB (Orange Box) only when an HTF bearish order block forms at a BSL level.
Marks Key Levels: Each order block is automatically drawn with dashed lines marking its high, low, and midpoint (50% level) for precise entry and risk management.
Real-Time Invalidation: The order blocks extend into the future and are tracked in real-time. If price closes through a block a specified number of times, the zone is considered invalid and will be dimmed, keeping your chart clean.
How to Use This Indicator
The primary use for this indicator is to identify high-probability entry zones.
When a Bullish Order Block (Blue) appears, it signals a potential area of demand where you might look for long entries.
When a Bearish Order Block (Orange) appears, it signals a potential area of supply where you might look for short entries.
The internal lines (high, low, midpoint) can be used for more precise entries or for setting stop-loss levels.
Settings
Higher Timeframe for Order Blocks: Choose the HTF you want the indicator to analyze for order blocks (e.g., 15m, 1H, 4H).
OB Invalidation Threshold: Set how many times price must close fully through an order block before it is considered invalid.
Parent Swing Settings: You can adjust the lookback periods and invalidation threshold for the BSL/SSL detection to match your trading style. A larger lookback will find more significant liquidity pools.
Disclaimer: This indicator is a tool to assist in technical analysis. It is not a standalone trading system and does not provide financial advice. Always use proper risk management and combine this tool with your own analysis and trading strategy.
Smart Money Trap Scanner [TradingFinder]🔵 Introduction
In many market conditions, what initially seems to be a decisive breakout often turns out to be nothing more than a false breakout or fake move. Price breaks through a significant structural level, such as a swing high or low or a key support and resistance zone, only to quickly return to its previous range. These moves, often driven by liquidity traps or market manipulation, typically signal structural weakness rather than the start of a new trend.
This screener is specifically designed to detect such situations. It focuses on identifying false breakouts and price returns to broken levels within a defined time window, and then looks for retracements into the Fibonacci zone. If price reenters the 0.618 to 1.0 retracement area and aligns with the time-based filters, the system flags a low-risk, high-probability entry opportunity.
To enhance the precision of signal detection, the screener categorizes setups into two distinct types based on the speed of the price reaction after a breakout. Type A signals occur when the price breaks a level and immediately returns to break-even within the very next candle indicating a sharp rejection and rapid invalidation of the breakout. In contrast, Type B signals involve a more gradual return to the broken level, typically taking between two to five candles. This differentiation allows traders to better assess the context and urgency of each trap, providing a clearer understanding of momentum and liquidity behavior behind the move.
Additionally, the screener includes a Signal Age feature, which displays how much time has passed since the last valid signal was generated. This allows traders to quickly assess signal freshness and avoid acting on outdated setups, especially in fast-moving market environments.
One of the key advantages of this tool is its ability to simultaneously scan multiple symbols and timeframes. It only triggers an alert when all conditions false breakout, structural return, and Fibonacci alignment are met. This allows traders to bypass the need for manually reviewing dozens of charts and instead concentrate on clean, valid, and structure-based setups with greater precision.
🔵 How to Use
This tool operates as a structure-based screener that continuously scans various symbols and timeframes. By combining price behavior analysis, structural breakout detection, and Fibonacci retracement zones, it only signals entries when the probability of reversal is significantly supported by liquidity logic and price correction depth.
The system doesn’t just monitor price movements beyond key levels like swing highs or lows. It also evaluates whether the move quickly reverses and absorbs liquidity. If so, Fibonacci is applied to measure the depth of the pullback and identify the most favorable entry zones.
🟣 Long Signal
A long setup is triggered when price temporarily breaks below a valid structural support or swing low. This initial move is typically designed to trigger stop losses and collect sell-side liquidity. If price returns to the broken level within five candles, it is considered a false breakout.
At this point, Fibonacci is drawn from the recent swing high to the new low. If price enters the 0.618 to 1.0 retracement zone within the next ten candles, a potential long entry aligned with Smart Money logic is activated. This deep retracement zone often offers the best low-risk entry, as it typically marks the area where liquidity has been absorbed and the breakout structure has failed.
The stop loss is placed slightly below the 1.0 level to account for minor fluctuations, while the target is set based on trend structure or risk-reward preferences.
🟣 Short Signal
A short setup begins with price temporarily breaking above a valid resistance or swing high. This breakout is often driven by buy-side liquidity collection or stop hunting. If price returns to the broken level within five candles, the move is marked as a breakout failure.
Fibonacci is then drawn from the recent swing low to the new high. If price enters the 0.618 to 1.0 zone within ten candles after the return, a short opportunity is confirmed. This area usually represents the maximum acceptable retracement before a continuation move to the downside and often triggers strong reactions.
The stop loss is placed just above the 1.0 level, and the target is defined based on the expected structure of the move or a predetermined reward ratio.
🟡 Advantages of the Screener
Unlike manual approaches that require constant monitoring of multiple charts, this tool functions as a fully automated screener across multiple symbols and timeframes. It continuously evaluates key levels, liquidity reactions, structural returns, and Fibonacci zones. An alert is only generated when all necessary conditions are met with high accuracy.
This ensures that traders avoid risky or misleading entries and stay focused on precise, verified, and logic-based setups — saving time, reducing noise, and improving consistency in decision-making.
🔵 Settings
🟣 Logical settings
Swing period : You can set the swing detection period.
Valid After Trigger Bars : Limits how many candles after a fake breakout the entry zone remains valid.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 Display Settings
Table on Chart : Allows users to choose the position of the signal dashboard either directly on the chart or below it, depending on their layout preference.
Number of Symbols : Enables users to control how many symbols are displayed in the screener table, from 10 to 20, adjustable in increments of 2 symbols for flexible screening depth.
Table Mode : This setting offers two layout styles for the signal table :
Basic : Mode displays symbols in a single column, using more vertical space.
Extended : Mode arranges symbols in pairs side-by-side, optimizing screen space with a more compact view.
Table Size : Lets you adjust the table’s visual size with options such as: auto, tiny, small, normal, large, huge.
Table Position : Sets the screen location of the table. Choose from 9 possible positions, combining vertical (top, middle, bottom) and horizontal (left, center, right) alignments.
🟣 Symbol Settings
Each of the 10 symbol slots comes with a full set of customizable parameters :
Symbol : Define or select the asset (e.g., XAUUSD, BTCUSD, EURUSD, etc.).
Timeframe : Set your desired timeframe for each symbol (e.g., 15, 60, 240, 1D).
🟣 Alert Settings
Alert : Enables alerts for SMT Screener.
Message Frequency : Determines the frequency of alerts. Options include 'All' (every function call), 'Once Per Bar' (first call within the bar), and 'Once Per Bar Close' (final script execution of the real-time bar). Default is 'Once per Bar'.
Show Alert Time by Time Zone : Configures the time zone for alert messages. Default is 'UTC'.
🔵 Conclusion
Many trading mistakes stem from misinterpreting price breaks and entering too early into deceptive moves. In a market environment where false breakouts, liquidity traps, and engineered movements are increasingly common, having a tool that accurately filters these events and frames them within a Fibonacci-based and time-filtered structure provides a real strategic edge.
This indicator merges market structure logic, false breakout detection, and precise retracement analysis to ensure trades are only taken when multiple technical factors are aligned. It not only enhances trade success rates but also helps avoid emotional or impulsive entries.
Moreover, with the ability to scan across several symbols and timeframes simultaneously, the tool goes beyond being just an indicator it becomes a semi-automated structural analysis system. For traders who base their decisions on price behavior, Smart Money logic, and structural retracements, this screener can become a key component of a disciplined and effective trading approach.
סקריפט בתשלום
Candle Range Detector by TradeTech AnalysisCandle Range Detector by TradeTech Analysis
This advanced indicator identifies and visualizes price compression zones based on inside bar formations, then tracks how price behaves around those zones — offering valuable insights into liquidity sweeps, range expansions, and trap/mitigation behavior.
The script builds upon the foundational concept of range-based price action, commonly used by institutional traders, and adds automation, mitigation tracking, and sweep detection to map how price reacts around these critical ranges.
🔍 How It Works:
• Range Formation: A new range is detected when the current candle forms entirely within the high and low of the previous candle (i.e., an inside bar). This behavior often indicates price compression and potential breakout zones.
• Range Extension: Once a range is confirmed, the script projects upper and lower boundaries (using either a percentage-based multiplier or Fibonacci log extension), providing context for expected breakout zones.
• Mitigation Tracking: The script continuously monitors whether price breaks above or below the projected extensions, marking that range as mitigated — useful for confirming whether liquidity was absorbed.
• Sweep Detection: If price re-visits a mitigated zone and shows signs of a liquidity sweep (via wick + close behavior), the indicator triggers visual sweep labels and optional alerts.
🧠 Optional Visual Enhancements:
• Highlight range-forming candles with light blue background (toggle on/off)
• Midpoint dotted line for symmetry analysis
• Labels for “Range High” and “Range Low” for visual clarity
• Dynamic box drawing that adapts upon mitigation or continuation
⚙️ Customizable Features:
• Choose between Normal and Fibonacci-based detection modes
• Toggle visibility of range boxes, extension lines, and sweep markers
• Configure sweep alerts, mitigation window size, and visual transparency
⸻
🧪 Use Cases
• Identify consolidation zones before major price moves
• Confirm liquidity sweeps for entry/exit traps
• Visualize and test mitigation behavior of past zones
• Combine with Order Flow or Volume Profile tools to enhance context
⸻
⚠️ This is a fully original implementation that goes beyond classical inside-bar scanners by incorporating mitigation, extension projection, and liquidity sweeps — making it a powerful tool for intraday, swing, and even Smart Money-based trading setups.
Liqudation HeatMap [BigBeluga]🔵 OVERVIEW
An advanced liquidity visualization tool that plots horizontal heat zones to highlight where potential liquidations and volume clusters are most likely hiding beneath price action.
Liqudation HeatMap scans historical price movements for local highs and lows with elevated volume or candle range. It then draws dynamic heatmap boxes—shaded from lime (low interest) to yellow (high interest)—revealing potential zones of trapped positions or stop clusters. A vertical scale on the right shows you the relative strength of volume behind each level, from 0 to the highest detected.
🔵 CONCEPTS
Maps areas of potential liquidity using volume or candle range (if volume is unavailable).
Identifies swing highs/lows (pivots) and extends heatmap boxes outward from these levels. Colors each zone based on the relative strength of volume concentration.
Fades or removes zones once price crosses their midpoints, simulating the idea of liquidity being “consumed.”
Displays a live vertical scale that shows the volume range for quick reference.
🔵 FEATURES
Dynamic Heatmap Zones:
Draws few boxes above and after pivot highs and below pivot lows, each shaded based on volume concentration.
Smart Coloring System:
Uses a gradient from lime (low) to yellow (high) to visually distinguish between weak and strong liquidity zones.
Adaptive ATR Widths:
Automatically adjusts zone thickness based on volatility (ATR), scaling intelligently across timeframes.
Liquidity Consumption Logic:
Zones are stope extending once price interacts with them—mimicking the behavior of real liquidation sweeps.
Volume Scale Legend:
A real-time scale is plotted on the right side, showing the min-max range of volume used for heat calculations.
🔵 HOW TO USE
Look for thick yellow zones to identify areas of concentrated stop losses or liquidation triggers.
Use these levels to anticipate mean reversion points or high-volatility zones.
Combine with your trend or structure tools to trade into or fade these liquidity pools.
On lower timeframes, use this tool to confirm entries around sweeps or deviations.
Use the right-side scale to compare relative zone strength instantly.
🔵 CONCLUSION
Liqudation HeatMap is a powerful visualization tool that uncovers where liquidity likely resides on the chart. By highlighting hidden traps and reactive levels in real-time, it gives traders a significant edge when it comes to spotting stop hunts, mean reversions, and areas of institutional interest. Whether you’re scalping or swing trading, this heatmap provides unmatched context on the market’s hidden intent.
MTF Fractals [RunRox]🔽 MTF Fractals is a powerful indicator designed to visualize fractals from multiple timeframes directly on your chart, highlight liquidity sweeps at these fractal levels, and provide several additional features we’ll cover in detail below.
We created this indicator because we couldn’t find a suitable tool that met our specific needs on TradingView. Therefore, we decided to develop a valuable indicator for the entire TradingView community, combining simplicity and versatility.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📙 FRACTAL FORMATION
Here’s how fractals form depending on your chosen setting (3, 5, 7, or 9):
▶️ 3-bar fractal – forms when the central candle is higher (for highs) or lower (for lows) than one candle on each side.
▶️ 5-bar fractal – forms when the central candle is higher or lower than two candles on both sides.
▶️ 7-bar fractal – forms when the central candle is higher or lower compared to the three candles on each side.
▶️ 9-bar fractal – forms similarly but requires four candles on each side, making the fractal significantly more reliable and robust.
A higher number of bars ensures stronger fractal levels, highlighting more significant potential reversal points on the chart.
Now that we’ve covered the theory behind fractal formation, let’s explore the indicator’s functionality in more detail.
Below, I’ll explain each feature clearly and illustrate how you can effectively utilize this indicator in your trading.
🕐 MULTI-TIMEFRAME FRACTALS
We realized that displaying fractals only from the current timeframe isn’t always convenient, so we’ve introduced Multi-Timeframe Fractals into this indicator.
Now you can easily display fractals from higher timeframes directly on your current chart, providing you with broader market context and clearer trading signals.
Fractals from Current Timeframe – Fractals identified directly on the chart’s current timeframe.
Fractals from Higher Timeframes – Fractals sourced from higher timeframes and displayed clearly on your current chart for enhanced market perspective.
📈 FRACTAL LINES
Since fractals represent areas of high liquidity, we’ve added an option to extend fractal levels horizontally as Fractal Lines across your chart.
This feature allows you to clearly visualize critical liquidity areas from higher timeframes, directly on your current timeframe chart, as demonstrated in the screenshot below.
With this approach, you can clearly visualize significant fractal levels from higher timeframes directly on your current chart - for example, projecting fractals from the 1-hour (1H) timeframe onto a 3-minute (3m) chart. ✅ This helps you easily identify critical liquidity areas and potential reversal zones without the need to switch between multiple timeframes.
💰 LIQUDITY SWEEP (LIQUDITY GRAB)
To enhance your trading experience, we’ve introduced a feature that clearly identifies liquidity sweeps of fractal levels.
A Liquidity Sweep occurs when a candle closes beyond a fractal line, leaving a wick that pierces through it, signaling that liquidity has been collected at this level.
Below, you’ll find two examples illustrating this functionality:
▶️ Fractal lines from the current timeframe
▶️ Fractal lines projected from higher timeframes
The first example illustrates liquidity being swept from fractals on the current timeframe .
Here, the candle clearly closes beyond the fractal line, leaving a wick through it. This indicates a liquidity sweep at the fractal level, visually highlighting a potential reversal or continuation opportunity directly on your chart.
In the second example, fractals from the higher timeframe are projected onto your current chart.
When a candle on your current timeframe closes beyond an HTF fractal line - leaving a wick through this level - the indicator highlights it clearly. This signals to traders a potential reversal zone, indicating that liquidity has been swept, and price may reverse or significantly react from this area.
You can also enable the display of additional labels on the chart. These labels clearly mark liquidity sweeps at fractal levels, making it easier to visually identify potential reversal points directly on your chart.
⚙️ SETTINGS
Below are the indicator settings with detailed explanations for each parameter.
🔷 Bars in Fractal – Number of candles to the right and left required to form a fractal.
🔷 Fractal Timeframe – Select the timeframe from which you want to display fractals on the current chart.
🔷 Max Age, bars – Number of bars during which the fractal will remain active.
🔷 Show Fractal Line – Display or hide fractal lines.
🔷 Line Style – Choose the style of the line displayed on the chart.
🔷 Line Width – Thickness of the fractal line.
🔷 High Fractal – Style and color of bearish fractals.
🔷 Low Fractal – Style and color of bullish fractals.
🔷 Fractal Label Size – Select the size of fractal labels.
🔷 Show Sweep Labels – Option to display labels when a liquidity sweep occurs.
🔷 Label Color – Color and transparency of the area marked on the chart during a sweep.
🔷 Shade Sweep Area – Show or hide the sweep area shading.
🔷 Area Color – Color and transparency settings for the sweep area.
🔶 We’d love to hear your feedback and any suggestions for additional features you’d like to see in this indicator. We’ll be happy to consider your ideas and continue improving the indicator!
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.
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.
