Volume Footprint Anomaly Scanner [PhenLabs]📊 PhenLabs - Volume Footprint Anomaly Scanner (VFAS)
Version: PineScript™ v6
📌 Description
The PhenLabs Volume Footprint Anomaly Scanner (VFAS) is an advanced Pine Script indicator designed to detect and highlight significant imbalances in buying and selling pressure within individual price bars. By analyzing a calculated "Delta" – the net difference between estimated buy and sell volume – and employing statistical Z-score analysis, VFAS pinpoints moments when buying or selling activity becomes unusually dominant. This script was created not in hopes of creating a "Buy and Sell" indicator but rather providing the user with a more in-depth insight into the intrabar volume delta and how it can fluctuate in unusual ways, leading to anomalies that can be capitalized on.
This indicator helps traders identify high-conviction points where strong market participants are active, signaling potential shifts in momentum or continuation of a trend. It aims to provide a clearer understanding of underlying market dynamics, allowing for more informed decision-making in various trading strategies, from identifying entry points to confirming trend strength.
🚀 Points of Innovation
● Z-Score for Delta Analysis : Utilizes statistical Z-scores to objectively identify statistically significant anomalies in buying/selling pressure, moving beyond simple, arbitrary thresholds.
● Dynamic Confidence Scoring : Assigns a multi-star confidence rating (1-4 stars) to each signal, factoring in high volume, trend alignment, and specific confirmation criteria, providing a nuanced view of signal strength.
● Integrated Trend Filtering : Offers an optional Exponential Moving Average (EMA)-based trend filter to ensure signals align with the broader market direction, reducing false positives in ranging markets.
● Strict Confirmation Logic : Implements specific confirmation criteria for higher-confidence signals, including price action and a time-based gap from previous signals, enhancing reliability.
● Intuitive Info Dashboard : Provides a real-time summary of market trend and the latest signal's direction and confidence directly on the chart, streamlining information access.
🔧 Core Components
● Core Delta Engine : Estimates the net buying/selling pressure (bar Delta) by analyzing price movement within each bar relative to volume. It also calculates average volume to identify bars with unusually high activity.
● Anomaly Detection (Z-Score) : Computes the Z-score for the current bar's Delta, indicating how many standard deviations it is from its recent average. This statistical measure is central to identifying significant anomalies.
● Trend Filter : Utilizes a dual Exponential Moving Average (EMA) cross-over system to define the prevailing market trend (uptrend, downtrend, or range), providing contextual awareness.
● Signal Processing & Confidence Algorithm : Evaluates anomaly conditions against trend filters and confirmation rules, then calculates a dynamic confidence score to produce actionable, contextualized signal information.
🔥 Key Features
● Advanced Delta Anomaly Detection : Pinpoints bars with exceptionally high buying or selling pressure, indicating potential institutional activity or strong market conviction.
● Multi-Factor Confidence Scoring : Each signal comes with a 1-4 star rating, clearly communicating its reliability based on high volume, trend alignment, and specific confirmation criteria.
● Optional Trend Alignment : Users can choose to filter signals, so only those aligned with the prevailing EMA-defined trend are displayed, enhancing signal quality.
● Interactive Signal Labels : Displays compact labels on the chart at anomaly points, offering detailed tooltips upon hover, including signal type, direction, confidence, and contextual information.
● Customizable Bar Colors : Visually highlights bars with Delta anomalies, providing an immediate visual cue for strong buying or selling activity.
● Real-time Info Dashboard : A clean, customizable dashboard shows the current market trend and details of the latest detected signal, keeping key information accessible at a glance.
● Configurable Alerts : Set up alerts for bullish or bearish Delta anomalies to receive real-time notifications when significant market pressure shifts occur.
🎨 Visualization
Signal Labels :
* Placed at the top/bottom of anomaly bars, showing a "📈" (bullish) or "📉" (bearish) icon.
* Tooltip: Hovering over a label reveals detailed information: Signal Type (e.g., "Delta Anomaly"), Direction, Confidence (e.g., "★★★☆"), and a descriptive explanation of the anomaly.
* Interpretation: Clearly marks actionable signals and provides deep insights without cluttering the chart, enabling quick assessment of signal strength and context.
● Info Dashboard :
* Located at the top-right of the chart, providing a clean summary.
* Displays: "PhenLabs - VFAS" header, "Market Trend" (Uptrend/Downtrend/Range with color-coded status), and "Direction | Conf." (showing the last signal's direction and star confidence).
* Optional "💡 Hover over signals for details" reminder.
* Interpretation: A concise, real-time summary of the market's pulse and the most recent high-conviction event, helping traders stay informed at a glance.
📖 Usage Guidelines
Setting Categories
⚙️ Core Delta & Volume Engine
● Minimum Volume Lookback (Bars)
○ Default: 9
○ Range: Integer (e.g., 5-50)
○ Description: Defines the number of preceding bars used to calculate the average volume and delta. Bars with volume below this average won't be considered for high-volume signals. A shorter lookback is more reactive to recent changes, while a longer one provides a smoother average.
📈 Anomaly Detection Settings
Delta Z-Score Anomaly Threshold
○ Default: 2.5
○ Range: Float (e.g., 1.0-5.0+)
○ Description: The number of standard deviations from the mean that a bar's delta must exceed to be considered a significant anomaly. A higher threshold means fewer, but potentially stronger, signals. A lower threshold will generate more signals, which might include less significant events. Experiment to find the optimal balance for your trading style.
🔬 Context Filters
Enable Trend Filter
○ Default: False
○ Range: Boolean (True/False)
○ Description: When enabled, signals will only be generated if they align with the current market trend as determined by the EMAs (e.g., only bullish signals in an uptrend, bearish in a downtrend). This helps to filter out counter-trend noise.
● Trend EMA Fast
○ Default: 50
○ Range: Integer (e.g., 10-100)
○ Description: The period for the faster Exponential Moving Average used in the trend filter. In combination with the slow EMA, it defines the trend direction.
● Trend EMA Slow
○ Default: 200
○ Range: Integer (e.g., 100-400)
○ Description: The period for the slower Exponential Moving Average used in the trend filter. The relationship between the fast and slow EMA determines if the market is in an uptrend (fast > slow) or downtrend (fast < slow).
🎨 Visual & UI Settings
● Show Info Dashboard
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles the visibility of the dashboard on the chart, which provides a summary of market trend and the last detected signal.
● Show Dashboard Tooltip
○ Default: True
○ Range: Boolean (True/False)
○ Description: Toggles a reminder message in the dashboard to hover over signal labels for more detailed information.
● Show Delta Anomaly Bar Colors
○ Default: True
○ Range: Boolean (True/False)
○ Description: Enables or disables the coloring of bars based on their delta direction and whether they represent a significant anomaly.
● Show Signal Labels
○ Default: True
○ Range: Boolean (True/False)
○ Description: Controls the visibility of the “📈” or “📉” labels that appear on the chart when a delta anomaly signal is generated.
🔔 Alert Settings
Alert on Delta Anomaly
○ Default: True
○ Range: Boolean (True/False)
○ Description: When enabled, this setting allows you to set up alerts in TradingView that will trigger whenever a new bullish or bearish delta anomaly is detected.
✅ Best Use Cases
Early Trend Reversal / Continuation Detection: Identify strong surges of buying/selling pressure at key support/resistance levels that could indicate a reversal or the continuation of a strong move.
● Confirmation of Breakouts: Use high-confidence delta anomalies to confirm the validity of price breakouts, indicating strong conviction behind the move.
● Entry and Exit Points: Pinpoint precise entry opportunities when anomalies align with your trading strategy, or identify potential exhaustion signals for exiting trades.
● Scalping and Day Trading: The indicator’s sensitivity to intraday buying/selling imbalances makes it highly effective for short-term trading strategies.
● Market Sentiment Analysis: Gain a real-time understanding of underlying market sentiment by observing the prevalence and strength of bullish vs. bearish anomalies.
⚠️ Limitations
Estimated Delta: The script uses a simplified method to estimate delta based on bar close relative to its range, not actual order book or footprint data. While effective, it’s an approximation.
● Sensitivity to Z-Score Threshold: The effectiveness heavily relies on the `Delta Z-Score Anomaly Threshold`. Too low, and you’ll get many false positives; too high, and you might miss valid signals.
● Confirmation Criteria: The 4-star confidence level’s “confirmation” relies on specific subsequent bar conditions and previous confirmed signals, which might be too strict or specific for all contexts.
● Requires Context: While powerful, VFAS is best used in conjunction with other technical analysis tools and price action to form a comprehensive trading strategy. It is not a standalone “buy/sell” signal.
💡 What Makes This Unique
Statistical Rigor: The application of Z-score analysis to bar delta provides an objective, statistically-driven way to identify true anomalies, moving beyond arbitrary thresholds.
● Multi-Factor Confidence Scoring: The unique 1-4 star confidence system integrates multiple market dynamics (volume, trend alignment, specific follow-through) into a single, easy-to-interpret rating.
● User-Friendly Design: From the intuitive dashboard to the detailed signal tooltips, the indicator prioritizes clear and accessible information for traders of all experience levels.
🔬 How It Works
1. Bar Delta Calculation:
● The script first estimates the “buy volume” and “sell volume” for each bar. This is done by assuming that volume proportional to the distance from the low to the close represents buying, and volume proportional to the distance from the high to the close represents selling.
● How this contributes: This provides a proxy for the net buying or selling pressure (delta) within that specific price bar, even without access to actual footprint data.
2. Volume & Delta Z-Score Analysis:
● The average volume over a user-defined lookback period is calculated. Bars with volume less than twice this average are generally considered of lower interest.
● The Z-score for the calculated bar delta is computed. The Z-score measures how many standard deviations the current bar’s delta is from its average delta over the `Minimum Volume Lookback` period.
● How this contributes: A high positive Z-score indicates a bullish delta anomaly (significantly more buying than usual), while a high negative Z-score indicates a bearish delta anomaly (significantly more selling than usual). This identifies statistically unusual levels of pressure.
3. Trend Filtering (Optional):
● Two Exponential Moving Averages (Fast and Slow EMA) are used to determine the prevailing market trend. An uptrend is identified when the Fast EMA is above the Slow EMA, and a downtrend when the Fast EMA is below the Slow EMA.
● How this contributes: If enabled, the indicator will only display bullish delta anomalies during an uptrend and bearish delta anomalies during a downtrend, helping to confirm signals within the broader market context and avoid counter-trend signals.
4. Signal Generation & Confidence Scoring:
● When a delta Z-score exceeds the user-defined anomaly threshold, a signal is generated.
● This signal is then passed through a multi-factor confidence algorithm (`f_calculateConfidence`). It awards stars based on: high volume presence, alignment with the overall trend (if enabled), and a fourth star for very strong Z-scores (above 3.0) combined with specific follow-through candle patterns after a cooling-off period from a previous confirmed signal.
● How this contributes: Provides a qualitative rating (1-4 stars) for each anomaly, allowing traders to quickly assess the potential significance and reliability of the signal.
💡 Note:
The PhenLabs Volume Footprint Anomaly Scanner is a powerful analytical tool, but it’s crucial to understand that no indicator guarantees profit. Always backtest and forward-test the indicator settings on your chosen assets and timeframes. Consider integrating VFAS with your existing trading strategy, using its signals as confirmation for entries, exits, or trend bias. The Z-score threshold is highly customizable; lower values will yield more signals (including potential noise), while higher values will provide fewer but potentially higher-conviction signals. Adjust this parameter based on market volatility and your risk tolerance. Remember to combine statistical insights from VFAS with price action, support/resistance levels, and your overall market outlook for optimal results.
스크립트에서 "imbalance"에 대해 찾기
ICT Smart Money Trading Suite [SwissAlgo]ICT/Smart Money Trading Suite - Technical Analysis Indicator
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OVERVIEW
The ICT/Smart Money Trading Suite is a technical analysis indicator that implements concepts from Inner Circle Trader (ICT) methodology and Smart Money Concepts (SMC).
ICT methodology was developed by Michael J. Huddleston (ICT) and focuses on understanding Institutional market behavior.
Smart Money Concepts builds upon these ideas to analyze how large Financial Institutions and/or Market Makers seem to operate in the markets.
This indicator combines multiple analytical tools into a single package for market structure analysis, imbalance detection, and the observation of institutional order flow.
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CORE COMPONENTS
Market Structure Analysis:
- External Structure : Major swing highs and lows that define broader price movement (these are the most significant structural points that institutions reference for their positioning and typically require substantial volume and momentum to break)
- Internal Structure : Shorter-term pivots showing micro-trend developments within the External Structure (these internal pivot highs and lows often represent areas where retail traders may be positioned on the wrong side of the market as they frequently form just before major structural breaks or trend continuations, creating liquidity that institutions can utilize)
- Structural Breakout Detection : Identification of structure breaks and potential trend changes ( 'Change of Character' which occurs when the External Structure shifts from bullish to bearish bias or vice-versa indicating a potential major trend reversal, and 'Break of Structure' which happens when price decisively takes out previous significant highs in a bearish trend or previous significant lows in a bullish trend confirming trend continuation or acceleration)
- EMA Cloud : Dynamic support and resistance zones with trend context (additional reference point)
Imbalance Zone Detection:
Fair Value Gaps (FVGs):
Price inefficiencies that occur between candles when sudden price moves create gaps in price delivery
Typically formed when the low of a bullish candle is higher than the high of the candle two periods prior, or when the high of a bearish candle is lower than the low of the candle two periods prior
These gaps represent areas where price moved too quickly without adequate two-way auction process
Institutions may return to fill these inefficiencies at a later time for proper price discovery
The theory suggests that all price ranges should eventually be traded through to complete the auction process
Gaps are automatically removed from the chart when price fully retraces back through the inefficient area
Order Blocks (OBs):
Specific candles that occur immediately before significant market moves and represent institutional decision points
Identified as the last opposing candle before a strong directional move (final bearish candle before major bullish move or final bullish candle before major bearish move)
These candles contain the orders and liquidity that institutions used as a foundation for their market manipulation
Represent areas where large institutional players positioned themselves to move the market significantly
Price may return to these levels to collect additional liquidity or test institutional resolve
The candle's full range (high to low) is considered the active zone where institutional interest may remain
Vector Candle Recovery:
Zones created by high-activity candles that demonstrate unusually large range and volume characteristics
These candles are interpreted as manipulative price pushes designed to hunt liquidity and trigger stop losses
Often used by institutions to induce retail traders into poor positions before reversing direction
Recovery zones represent the full range of these vector candles where price may retrace
The concept assumes that extreme moves often get partially retraced as the market corrects from artificial price displacement
Zones are invalidated when a significant portion of the vector candle range is retraced (typically 50% or more)
Support & Resistance:
Key price zones based on historical price reactions and pivot clustering analysis
Calculated through algorithmic identification of areas where price has repeatedly found buyers (support) or sellers (resistance)
Strength is determined by the number of times price has reacted from these levels and the volume of activity at these zones
Represent psychological and algorithmic reference points where institutional systems are likely to place orders
Create areas of increased probability for price reactions due to concentration of pending orders and decision-making activity
Zones are color-coded based on current price position: green for support (price above), red for resistance (price below), yellow for neutral (price within)
Liquidity Analysis:
- Liquidity Pools : Areas above or below key levels where stop orders may cluster
- Kill Zones : Time-based periods associated with increased market activity
- Daily/Weekly/Monthly Price Levels : Key institutional reference points (price highs/lows)
Vector Candles/Price Manipulation:
Advanced algorithm identifying statistically significant candles using volume delta analysis, range statistics, and persistence scoring.
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VISUAL INTERPRETATION - DETAILED GUIDE
MARKET STRUCTURE
External Structure (Thick Lines):
- Green thick lines: Major support levels (external lows) that define bullish structure
- Red thick lines: Major resistance levels (external highs) that define bearish structure
- These lines represent significant swing points that institutions may reference
- Lines extend from the swing point and update as the structure evolves
Internal Structure (Thin Lines):
- Green thin lines: Minor support levels showing internal market structure
- Red thin lines: Minor resistance levels showing internal market structure
- More frequent updates than external structure, showing micro-trend changes
Structure Markers:
- Small triangles with "H": External pivot highs (major resistance points)
- Small triangles with "L": External pivot lows (major support points)
- Small dots: Internal pivot points (minor structure without text)
- Markers appear with a 20-bar delay to confirm pivot validity
HIGHS/LOWS LEVELS
Daily Levels (Green Dashed Lines):
- Horizontal dashed lines marking the previous day's high and low
- Updates at the start of each new trading day
- Gradient effect shows historical importance (newer = more opaque)
- Acts as institutional reference points for intraday trading
Weekly Levels (White Dashed Lines):
- Horizontal dashed lines marking the previous week's high and low
- Updates at the start of each new trading week
- Typically more significant than daily levels for swing trading
- Often respected by institutional algorithms
Monthly Levels (Orange Dashed Lines):
- Horizontal dashed lines marking the previous month's high and low
- Updates at the start of each new trading month
- Highest significance levels for long-term institutional positioning
- Major psychological and algorithmic reference points
VECTOR CANDLES
Candle Body Coloring System:
- Lime Green Bodies: Ultra-bullish vector candles (Z-score ≥ 3.0)
- Blue Bodies: Abnormal bullish vector candles (Z-score 2.0-2.99)
- Bright Red Bodies: Ultra-bearish vector candles (Z-score ≥ 3.0)
- Purple Bodies: Abnormal bearish vector candles (Z-score 2.0-2.99)
- Faded Green/Red: Normal market activity candles
Vector Identification Criteria:
- Statistical significance based on range and volume delta
- Persistence scoring (how much directional pressure remained)
- ATR-based absolute detection (candles >2x ATR automatically qualify)
- These candles often precede significant market moves or reversals
EMA CLOUD
Purple Cloud Visualization:
- Central line: 50-period EMA (blue line)
- Upper boundary: EMA + dynamic standard deviation band
- Lower boundary: EMA - dynamic standard deviation band
- Cloud fill: Purple semi-transparent area between boundaries
Interpretation:
- Price above cloud: Bullish bias context
- Price below cloud: Bearish bias context
- Price within cloud: Neutral/transitional zone
- Cloud thickness adapts to market volatility automatically
KILL ZONES
Background Highlighting:
- Yellow background tint during active kill zone periods
- London Session: 08:00-11:00 (UTC+1 time)
- NY Open: 13:00-16:00 (UTC+1 time)
- NY Close: 19:00-21:00 (UTC+1 time)
- Times automatically adjust to the chart timezone
Purpose:
- Highlights periods of typically increased institutional activity
- Times when liquidity hunting and manipulation often occur
- Periods when significant directional moves frequently begin
IMBALANCE ZONES - DETAILED BREAKDOWN
Fair Value Gaps (FVGs):
- Green boxes: Bullish FVGs (gap between bear candle high and bull candle low)
- Red boxes: Bearish FVGs (gap between bull candle high and bear candle low)
- Gray dotted lines: Midpoint of each gap (50% retracement level)
- Text label: "Fair Value Gap" in top-right corner
- Auto-removal: Boxes disappear when the price fills the gap
Order Blocks (OBs):
- Green boxes: Bullish order blocks (demand zones from the last bear candle before bullish vector)
- Red boxes: Bearish order blocks (supply zones from the last bull candle before the bearish vector)
- Gray dotted lines: Midpoint of each order block
- Text label: "OB" in top-right corner
- Invalidation: Boxes removed when price breaks below (bull OB) or above (bear OB)
Vector Candles Recovery Zones:
- Green boxes: Recovery zones after bullish vector candles
- Red boxes: Recovery zones after bearish vector candles
- Gray dotted lines: Midpoint of the vector candle range
- Text label: "Vector Recovery" on the right side
- These mark the full range of significant vector candles where retracements may occur
Support & Resistance Zones:
- Green boxes: Support zones (price currently above the zone)
- Red boxes: Resistance zones (price currently below the zone)
- Yellow boxes: Neutral zones (price within the zone)
- Text labels: "Support", "Resistance", or "Support/Resistance"
- Based on historical pivot clustering and strength analysis
Liquidity Pools:
- Green boxes: Bullish liquidity pools (below recent lows where buy stops cluster)
- Red boxes: Bearish liquidity pools (above recent highs where sell stops cluster)
- Gray dotted lines: Key liquidity level within the pool
- Text label: "Liquidity Pool" on the right side
- Zones where institutional players may hunt stop losses before reversing
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CALCULATION METHODOLOGY
Vector Candle Algorithm:
- Statistical Analysis using 48-bar lookback period
- Z-score thresholds: 2.0 (abnormal), 3.0 (ultra)
- ATR-based significance filtering
- Volume Delta Integration with lower timeframe analysis
- Persistence scoring based on directional pressure sustainability
- Combined scoring system (delta + range)
- Absolute Vector Detection for candles exceeding 2x ATR
Market Structure Parameters:
- Swing Size: 20-period pivot detection
- Breakout Threshold: 3 consecutive breaks for structure confirmation
- EMA Length: 50-period with dynamic cloud sizing
Fair Value Gap Detection:
- Auto Threshold: Dynamic gap sizing based on asset volatility
- Manual Threshold: User-defined minimum gap percentage
- Mitigation Logic: Automatic removal when price fills gaps
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TARGET USERS
This indicator is designed for traders who:
- Study Inner Circle Trader concepts
- Apply Smart Money Concepts in their analysis
- Focus on market structure and institutional behavior
- Seek confluence-based trading approaches
- Use higher timeframe bias for decision making
Experience Level: Intermediate to Advanced
Requires understanding of market structure concepts and institutional trading theory.
Recommended Timeframes:
- Analysis: 4H, Daily for market structure context
- Execution: 1H, 15min for entry timing
- Lower timeframes: With higher timeframe alignment
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CUSTOMIZATION OPTIONS
Display Controls:
- Master toggle for all imbalance zones
- Individual controls for each concept type
- Market structure line visibility
- Kill zone highlighting
- EMA cloud display
Visual Settings:
- Automatic light/dark mode color adaptation
- Adjustable zone transparency levels
- Extension distance controls
- Descriptive text labels
Technical Parameters:
- Vector candle sensitivity thresholds
- Historical analysis lookback periods
- Maximum zone display limits
- Zone invalidation conditions
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EDUCATIONAL BACKGROUND
Inner Circle Trader (ICT): A trading methodology developed by Michael J. Huddleston that focuses on understanding how institutional traders and market makers operate. The approach emphasizes market structure, liquidity concepts, and timing based on institutional behavior patterns.
Smart Money Concepts (SMC): An evolution of ICT principles that analyzes how large financial institutions move markets. These concepts include order blocks, fair value gaps, liquidity hunting, and market structure shifts.
Both methodologies are based on the premise that understanding institutional trading behavior can provide insights into market direction and timing.
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IMPORTANT DISCLAIMERS
This indicator is provided for educational and analytical purposes only. It is not financial advice and does not guarantee trading results.
Trading involves substantial risk of loss. Past performance does not indicate future results. Users should thoroughly understand the underlying concepts before applying them to live trading.
The effectiveness of these analytical methods may vary across different market conditions, timeframes, and instruments. Proper risk management and additional analysis are essential.
This indicator is a tool for market analysis, not a complete trading system. Success requires understanding of market principles, risk management, and continuous learning.
Always test analytical approaches thoroughly using historical data and demo accounts before implementing with real capital.
First FVG📘 Indicator Description (English)
First FVG – NY Open is a TradingView indicator designed to automatically identify the first Fair Value Gap (FVG) that appears during the New York session, following the ICT (Inner Circle Trader) methodology.
It highlights institutional inefficiencies in price caused by imbalanced price action and helps traders spot high-probability entry zones, especially after the 9:30 AM EST (New York Open).
⚙️ How It Works
Session time: The indicator scans for FVGs starting at 9:32 AM (allowing 3 candles after the NY Open to form).
FVG Conditions:
Bullish FVG: When the high of 2 candles ago is lower than the low of the current candle and the middle candle is bullish.
Bearish FVG: When the low of 2 candles ago is higher than the high of the current candle and the middle candle is bearish.
Only the first FVG per session is drawn, as taught by ICT for setups like Judas Swing or NY Reversal models.
A colored box is drawn to represent the FVG zone.
A dotted horizontal line (CE) is drawn at the midpoint of the FVG box (Consequent Encroachment), a key level watched by smart money traders.
A dashed vertical line is drawn at 9:30 NY time to mark the open.
🧠 How to Use It
Wait for the NY Open (9:30 AM EST) – the indicator becomes active at 9:32 AM.
Watch for the first FVG box of the day. This is often a high-probability reaction zone.
Use the CE line (center of the FVG) as a reference for entries, rejections, or liquidity grabs.
Combine with market structure, PD Arrays, and liquidity concepts as taught by ICT for confluence.
The FVG box and CE line will extend forward for several candles for visual clarity.
🎛️ Customizable Settings
Session time (default: 09:32–16:00 NY)
FVG box color (up/down)
Text color
Max number of days to keep boxes on chart
Option to show or hide the 9:30 NY Open vertical line
SMC Entry Signals MTF v2📘 User Guide for the SMC Entry Signals MTF v2 Indicator
🎯 Purpose of the Indicator
This indicator is designed to identify reversal entry points based on Smart Money Concepts (SMC) and candlestick confirmation. It’s especially useful for traders who use:
Imbalance zones, order blocks, breaker blocks
Liquidity grabs
Multi-timeframe confirmation (MTF)
📈 How to Use the Signals on the Chart
✅ LONG Signal (green triangle below the candle):
Conditions:
Price is in a discount zone (below the FIB 50% level)
A bullish engulfing candle appears
A bullish Order Block (OB) or Breaker Block is detected
There’s an upward imbalance
A bullish OB is confirmed on the higher timeframe
➡️ How to act:
Consider entering long on the current or next candle.
Place your stop-loss below the OB or the nearest swing low.
Take profit at the nearest liquidity zone or premium area (above FIB 50%).
🔻 SHORT Signal (red triangle above the candle):
Conditions:
Price is in a premium zone (above FIB 50%)
A bearish engulfing candle appears
A bearish OB or Breaker Block is detected
There’s a downward imbalance
A bearish OB is confirmed on the higher timeframe
➡️ How to act:
Consider short entry after the signal.
Place your stop-loss above the OB or swing high.
Target the discount zone or the next liquidity pocket.
⚙️ Recommended Settings by Trading Style
Trading Style Suggested Settings Notes
Intraday (1–15m) fibLookback = 20–50, obLookback = 5–10, htf_tf = 1H/4H Fast signals. Use Discount/Premium + Engulfing.
Swing/Position (1H–1D) fibLookback = 50–100, obLookback = 10–20, htf_tf = 1D/1W Higher trust in MTF confirmation. Ideal with fundamentals.
Scalping (1m) fibLookback = 10–20, obLookback = 3–5, htf_tf = 15m/1H Remove Breaker and MTF for quick reaction trades.
🧠 Best Practices for Traders
Trend Filtering:
Use EMAs or volume to confirm the current trend.
Take longs only in uptrends, shorts in downtrends.
Liquidity Zones:
Use this indicator after liquidity grabs.
OBs and Breakers often appear right after stop hunts.
Combine with Manual Zones:
This works best when paired with manually drawn OBs and key levels.
Backtest the Signals:
Use Bar Replay mode on TradingView to test past signals.
🧪 Example Trade Setup
Example on BTCUSDT 15m:
Price drops into the discount zone.
A green triangle appears (bullish engulfing + OB + imbalance + HTF OB).
You enter long, stop below the OB, target the premium zone.
🎯 This type of setup often gives a risk/reward ratio of 1:2 or better — profitable even with a 40% win rate.
⏰ Alerts & Automation
Enable alerts:
"SMC Long Entry" — fires when a long signal appears.
"SMC Short Entry" — fires when a short signal appears.
You can integrate this with bots via webhook, like:
TradingConnector, 3Commas, Alertatron, etc.
✅ What This Indicator Gives You
High-probability entries using SMC logic
Customizable filters for entry logic
Multi-timeframe confirmation for stronger setups
Suitable for both intraday and swing trading
Puts vs Longs vs Price Oscillator SwiftEdgeWhat is this Indicator?
The "Low-Latency Puts vs Longs vs Price Oscillator" is a custom technical indicator built for TradingView to help traders visualize buying and selling activity in a market without access to order book data. It displays three lines in an oscillator below the price chart:
Green Line (Longs): Represents the strength of buying activity (bullish pressure).
Red Line (Puts): Represents the strength of selling activity (bearish pressure).
Yellow Line (Price): Shows the asset’s price in a scaled format for direct comparison.
The indicator uses price movements, volume, and momentum to estimate when buyers or sellers are active, providing a quick snapshot of market dynamics. It’s optimized for fast response to price changes (low latency), making it useful for both short-term and longer-term trading strategies.
How Does it Work?
Since TradingView doesn’t provide direct access to order book data (which shows real-time buy and sell orders), this indicator approximates buying and selling pressure using commonly available data: price, volume, and a momentum measure called Rate of Change (ROC). Here’s how it combines these elements:
Price Movement: The indicator checks if the price is rising or falling compared to the previous candlestick. A rising price suggests buying (longs), while a falling price suggests selling (puts).
Volume: Volume acts as a "weight" to measure the strength of these price moves. Higher volume during a price increase boosts the green line, while higher volume during a price decrease boosts the red line. This mimics how large orders in an order book would influence the market.
Rate of Change (ROC): ROC measures how fast the price is changing over a set period (e.g., 5 candlesticks). It adds a momentum filter—strong upward momentum reinforces buying signals, while strong downward momentum reinforces selling signals.
These components are calculated for each candlestick and summed over a short lookback period (e.g., 5 candlesticks) to create the green and red lines. The yellow line is simply the asset’s closing price scaled down to fit the oscillator’s range, allowing you to compare buying/selling strength directly with price action.
Why Combine These Elements?
The combination of price, volume, and ROC is intentional and synergistic:
Price alone isn’t enough—it tells you what happened but not how strong the move was.
Volume adds context by showing the intensity behind price changes, much like how order book volume indicates real buying or selling interest.
ROC ensures the indicator captures momentum, filtering out weak or random price moves and focusing on significant trends, similar to how aggressive order execution might appear in an order book.
Together, they create a balanced picture of market activity that’s more reliable than any single factor alone. The goal is to simulate the insights you’d get from an order book—where you’d see buy/sell imbalances—using data available in TradingView.
How to Use It
Setup:
Add the indicator to your chart via TradingView’s Pine Editor by copying and pasting the script.
Adjust the inputs to suit your trading style:
Lookback Period: Number of candlesticks (default 5) to sum buying/selling activity. Shorter = more responsive; longer = smoother.
Price Scale Factor: Scales the yellow price line (default 0.001). Increase for high-priced assets (e.g., 0.01 for indices like DAX) or decrease for low-priced ones (e.g., 0.0001 for crypto).
ROC Period: Candlesticks for momentum calculation (default 5). Shorter = faster response.
ROC Weight: How much momentum affects the signal (default 0.5). Higher = stronger momentum influence.
Volume Threshold: Minimum volume multiplier (default 1.5) to boost signals during high activity.
Reading the Oscillator:
Green Line Above Yellow: Strong buying pressure—price is rising with volume and momentum support. Consider this a bullish signal.
Red Line Above Yellow: Strong selling pressure—price is falling with volume and momentum support. Consider this a bearish signal.
Green/Red Crossovers: When the green line crosses above the red, it suggests buyers are taking control. When the red crosses above the green, sellers may be dominating.
Yellow Line Context: Compare green/red lines to the yellow price line to see if buying/selling strength aligns with price trends.
Trading Examples:
Bullish Setup: Green line spikes above yellow after a price breakout with high volume (e.g., DAX opening jump). Enter a long position if confirmed by other indicators.
Bearish Setup: Red line rises above yellow during a price drop with increasing volume. Look for a short opportunity.
Reversal Warning: If the green line stays high while price (yellow) flattens or drops, it could signal overbought conditions—be cautious.
What Makes It Unique?
Unlike traditional oscillators like RSI or MACD, which focus solely on price momentum or trends, this indicator blends price, volume, and momentum into a three-line system that mimics order book dynamics. Its low-latency design (short lookback and no heavy smoothing) makes it react quickly to market shifts, ideal for volatile markets like DAX or forex. The visual separation of buying (green) and selling (red) against price (yellow) offers a clear, intuitive way to spot imbalances without needing complex data.
Tips and Customization
Volatile Markets: Use a shorter lookback (e.g., 3) and ROC period (e.g., 3) for faster signals.
Stable Markets: Increase lookback (e.g., 10) for smoother, less noisy lines.
Scaling: If the green/red lines dwarf the yellow, adjust Price Scale Factor up (e.g., 0.01) to balance them.
Experiment: Test on your asset (stocks, crypto, indices) and tweak inputs to match its behavior.
OG Volume PowerDescription:
The OG Volume Power is an elite-level volume analysis suite built for identifying momentum surges, trend continuation, and buyer/seller imbalances at critical price levels. It combines real-time VWAP tracking, a dynamic Point of Control (POC), and volume delta clusters to give traders a complete picture of price and volume interaction.
🔍 Key Features:
Real-Time VWAP:
Tracks volume-weighted average price to identify mean reversion and intraday fair value zones. Ideal for institutional-level entries and exits.
Dynamic POC (Point of Control):
Automatically finds the price level with the highest volume over the last N candles (default 50), helping traders pinpoint where market participants are most committed.
Buyer/Seller Volume Delta Clusters:
Highlights imbalances between buying and selling pressure using bullish and bearish volume deltas that exceed the 20-bar volume average — excellent for momentum detection and early trend recognition.
⚙️ How It Works:
Green triangle: Buyer surge (bullish delta + above average volume)
Red triangle: Seller surge (bearish delta + above average volume)
Magenta line: Dynamic POC (highest volume price over recent candles)
Orange line: VWAP (acts as a magnetic force for price)
📈 Best For:
Intraday scalping or swing trading on SPY, QQQ, BTC, or Forex
Volume flow confirmation before breakout entries
Filtering false breakouts with delta strength signals
🧠 Pro Tip:
Use OG Volume Power alongside your trend indicators (like OG EMA Stack or OG Supertrend) to confirm that volume is backing the move. Look for surges near VWAP or POC zones for sniper-level entries.
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Volume Delta & Order Block Suite [QuantAlgo]Upgrade your volume analysis and order flow trading with Volume Delta & Order Block Suite by QuantAlgo, a sophisticated technical indicator that leverages advanced volume delta calculations, along with dynamic order block detection to provide deep insights into market participant behavior. By calculating the distribution of volume between buyers and sellers and tracking pivotal volume zones, the indicator helps traders understand the underlying forces driving price movements. It is particularly valuable for those looking to identify high-probability trading opportunities based on volume imbalances and key price levels where significant activity has occurred.
🟢 Technical Foundation
The Volume Delta & Order Block Suite utilizes sophisticated volume analysis techniques to estimate buying and selling pressure within each price candle. The core volume delta calculation employs a formula that estimates buy volume as: Volume × (Close - Low) ÷ (High - Low) , with sell volume calculated as the remainder of total volume. This approach assumes that when price closes near the high of a candle, most volume represents buying pressure, and when price closes near the low, most volume represents selling pressure.
For order block detection, the indicator implements a multi-step process involving volume pivot identification and price state tracking. It first detects significant volume pivot points using the ta.pivothigh function with a user-defined pivot period. It then tracks the market's order state based on whether the high exceeds the highest high or the low falls below the lowest low. When a volume pivot occurs, the indicator creates order blocks based on price levels at that pivot point. These blocks are continuously monitored for invalidation based on subsequent price action.
🟢 Key Features & Signals
1. Volume Delta Representation on Candles
The Volume Delta visualization on candles shows the buy/sell distribution directly on price bars, creating an immediate visual representation of volume pressure.
When buyers are dominant, candles are colored with the bullish theme color (default: green/teal).
Similarly, when sellers are dominant, candles are colored with the bearish theme color (default: red).
This visualization provides immediate insights into underlying volume pressure without requiring separate indicators, helping traders quickly identify which side of the market is in control.
2. Buy/Sell Pressure Information Table
The Volume Analysis Table provides a comprehensive breakdown of volume metrics across multiple timeframes, helping traders identify shifts in market behavior.
The table is organized into four timeframe columns:
Current Volume
1 Bar Before
1 Day Before
1 Week Before
For each timeframe, the table displays:
Buy volume: The estimated buying volume based on price action
Sell volume: The estimated selling volume based on price action
Total volume: The sum of buy and sell volume
Delta: The difference between buy and sell volume (positive when buyers are dominant, negative when sellers are dominant)
Additionally, the table shows both absolute values and percentage distributions, with trend indicators (Up, Down, or Neutral) at the bottom row of each timeframe column.
This multi-timeframe approach helps traders:
→ Identify volume imbalances between buyers and sellers
→ Track changes in volume delta across different periods
→ Compare current conditions with historical patterns
→ Detect potential reversals by watching for shifts in delta direction
The delta values are particularly useful as they provide a clear indication of market dominance – positive delta (Up) when buyers are dominant, and negative delta (Down) when sellers are dominant.
3. Order Blocks and Their Confluence
Order blocks represent significant price zones where volume pivots occur, potentially indicating areas of significant market participant activity.
The indicator identifies two types of order blocks:
Bullish Order Blocks (support): Highlighted with a green/teal color, these represent potential support areas where price might bounce when revisited
Bearish Order Blocks (resistance): Highlighted with a red color, these represent potential resistance areas where price might reverse when revisited
Each order block is visualized as a colored rectangle with a dashed line showing the average price within the block. The blocks are extended to the right until they are invalidated.
Order blocks can serve as key reference points for trading decisions, for example:
Support/resistance identification
Stop loss placement (beyond the opposite edge of the block)
Potential reversal zones
Target areas for profit-taking
When price approaches an order block, traders should look for confluence with the volume delta on candles and the information in the volume analysis table. Strong setups occur when all three components align – for example, when price approaches a bearish order block with increasing sell volume shown on the candles and in the volume table.
🟢 Practical Usage Tips
→ Volume Analysis and Interpretation: The indicator visualizes the buy/sell volume ratio directly on price candles using color intensity, allowing traders to immediately identify which side (buyers or sellers) is dominant. This information helps in assessing the strength behind price movements and potential continuation or reversal signals.
→ Order Block Trading Strategies: The indicator highlights significant price zones where volume pivots occur, marking these as potential support (bullish order blocks) or resistance (bearish order blocks). Traders can use these levels to identify potential reversal points, stop placement, and profit targets.
→ Multi-timeframe Volume Comparison: Through its comprehensive volume analysis table, the indicator enables traders to compare volume patterns across current, recent, daily, and weekly timeframes. This helps in identifying shifts in market behavior and confirming the strength of ongoing trends.
🟢 Pro Tips
Adjust Pivot Period based on your timeframe:
→ Lower values (3-5) for more frequent order blocks
→ Higher values (7-10) for stronger, less frequent order blocks
Fine-tune Mitigation Method based on your trading style:
→ "Wick" for more conservative invalidation
→ "Close" for more lenient order block survival
Look for confluence between components:
→ Strong volume delta in the expected direction when price touches an order block
→ Corresponding patterns in the volume analysis table
→ Overall market context aligning with the expected direction
Use for multiple trading approaches:
→ Support/resistance trading at order blocks
→ Trend confirmation with volume delta
→ Reversal detection when volume delta changes direction
→ Stop loss placement using order block boundaries
Combine with:
→ Trend analysis using trend-following indicators for trade confirmation
→ Multiple timeframe analysis for strategic context
Custom V2 KillZone US / FVG / EMAThis indicator is designed for traders looking to analyze liquidity levels, opportunity zones, and the underlying trend across different trading sessions. Inspired by the ICT methodology, this tool combines analysis of Exponential Moving Averages (EMA), session management, and Fair Value Gap (FVG) detection to provide a structured and disciplined approach to trading effectively.
Indicator Features
Identifying the Underlying Trend with Two EMAs
The indicator uses two EMAs on different, customizable timeframes to define the underlying trend:
EMA1 (default set to a daily timeframe): Represents the primary underlying trend.
EMA2 (default set to a 4-hour timeframe): Helps identify secondary corrections or impulses within the main trend.
These two EMAs allow traders to stay aligned with the market trend by prioritizing trades in the direction of the moving averages. For example, if prices are above both EMAs, the trend is bullish, and long trades are favored.
Analysis of Market Sessions
The indicator divides the day into key trading sessions:
Asian Session
London Session
US Pre-Open Session
Liquidity Kill Session
US Kill Zone Session
Each session is represented by high and low zones as well as mid-lines, allowing traders to visualize liquidity levels reached during these periods. Tracking the price levels in different sessions helps determine whether liquidity levels have been "swept" (taken) or not, which is essential for ICT methodology.
Liquidity Signal ("OK" or "STOP")
A specific signal appears at the end of the "Liquidity Kill" session (just before the "US Kill Zone" session):
"OK" Signal: Indicates that liquidity conditions are favorable for trading the "US Kill Zone" session. This means that liquidity levels have been swept in previous sessions (Asian, London, US Pre-Open), and the market is ready for an opportunity.
"STOP" Signal: Indicates that it is not favorable to trade the "US Kill Zone" session, as certain liquidity conditions have not been met.
The "OK" or "STOP" signal is based on an analysis of the high and low levels from previous sessions, allowing traders to ensure that significant liquidity zones have been reached before considering positions in the "Kill Zone".
Detection of Fair Value Gaps (FVG) in the US Kill Zone Session
When an "OK" signal is displayed, the indicator identifies Fair Value Gaps (FVG) during the "US Kill Zone" session. These FVGs are areas where price may return to fill an "imbalance" in the market, making them potential entry points.
Bullish FVG: Detected when there is a bullish imbalance, providing a buying opportunity if conditions align with the underlying trend.
Bearish FVG: Detected when there is a bearish imbalance, providing a selling opportunity in the trend direction.
FVG detection aligns with the ICT Silver Bullet methodology, where these imbalance zones serve as probable entry points during the "US Kill Zone".
How to Use This Indicator
Check the Underlying Trend
Before trading, observe the two EMAs (daily and 4-hour) to understand the general market trend. Trades will be prioritized in the direction indicated by these EMAs.
Monitor Liquidity Signals After the Asian, London, and US Pre-Open Sessions
The high and low levels of each session help determine if liquidity has already been swept in these areas. At the end of the "Liquidity Kill" session, an "OK" or "STOP" label will appear:
"OK" means you can look for trading opportunities in the "US Kill Zone" session.
"STOP" means it is preferable not to take trades in the "US Kill Zone" session.
Look for Opportunities in the US Kill Zone if the Signal is "OK"
When the "OK" label is present, focus on the "US Kill Zone" session. Use the Fair Value Gaps (FVG) as potential entry points for trades based on the ICT methodology. The identified FVGs will appear as colored boxes (bullish or bearish) during this session.
Use ICT Methodology to Manage Your Trades
Follow the FVGs as potential reversal zones in the direction of the trend, and manage your positions according to your personal strategy and the rules of the ICT Silver Bullet method.
Customizable Settings
The indicator includes several customization options to suit the trader's preferences:
EMA: Length, source (close, open, etc.), and timeframe.
Market Sessions: Ability to enable or disable each session, with color and line width settings.
Liquidity Signals: Customization of colors for the "OK" and "STOP" labels.
FVG: Option to display FVGs or not, with customizable colors for bullish and bearish FVGs, and the number of bars for FVG extension.
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Cet indicateur est conçu pour les traders souhaitant analyser les niveaux de liquidité, les zones d’opportunité, et la tendance de fond à travers différentes sessions de trading. Inspiré de la méthodologie ICT, cet outil combine l'analyse des moyennes mobiles exponentielles (EMA), la gestion des sessions de marché, et la détection des Fair Value Gaps (FVG), afin de fournir une approche structurée et disciplinée pour trader efficacement.
Time Clusters# Time Clusters: Where Time Meets Opportunity in the Markets
Elevate your trading strategy with Time Clusters – the innovative indicator that transforms market open times into powerful visual cues for potential price action!
## Unveil Hidden Market Dynamics
Time Clusters goes beyond traditional open price analysis. By visualizing key time-based imbalances, this tool reveals:
- Potential support and resistance zones
- Areas prone to strong market reactions
- Historical patterns at crucial market opens
## Key Features
- Multi-level analysis: Track up to 6 customizable daily open times
- Smart visuals: Color-coded boxes highlight time-based clusters
- Bias tracking: Monitor historical candle types and market sentiment
- Flexible customization: Adapt to your timezone and visual preferences
## How It Works
1. Identifies critical market open times
2. Analyzes price action and candle formations at these points
3. Visualizes potential imbalances as color-coded "clusters"
4. Tracks historical bias to provide deeper market context
## Trader-Friendly Design
- Intuitive visual cues for quick decision-making
- Customizable settings to fit your trading style
- Works across multiple timeframes for versatile analysis
## Elevate Your Strategy
Use Time Clusters to:
- Anticipate potential price reversals or continuations
- Identify high-probability trade entry and exit points
- Gain unique insights into time-based market behavior
## Important Note
While Time Clusters offers powerful insights, it's designed to complement your trading strategy, not replace it. Always use multiple analysis tools and sound risk management practices.
Remember: All OmarxQQQ tools, including Time Clusters, are aids to assist your trading decisions. They should never be the sole basis for any financial choice.
Harness the power of time in your trades with Time Clusters!
*Disclaimer: Trading involves significant risk of loss. Past performance does not guarantee future results. Use this tool responsibly as part of a comprehensive trading plan.*
Gaps Trend [ChartPrime]The Gaps Trend - ChartPrime indicator is designed to detect Fair Value Gaps (FVGs) in the market and apply a trailing stop mechanism based on those gaps. It identifies both bullish and bearish gaps and provides traders with a way to manage trades dynamically as gaps appear. The indicator visually highlights gaps and uses the detected momentum to assess trend direction, helping traders identify price imbalances caused by strong buy or sell pressure.
⯁ KEY FEATURES & HOW TO USE
⯌ Fair Value Gap (FVG) Detection :
The indicator automatically detects both bullish and bearish FVGs, identifying gaps between candle highs and lows. Bullish gaps are shown in green, and bearish gaps in purple. These gaps indicate price imbalances driven by strong momentum, such as when there is significant buying or selling pressure.
Use : Traders can use FVG detection to identify periods of high price momentum, offering insight into potential continuation or exhaustion of trends.
⯌ Trailing Stop Feature Based on FVGs :
A core feature of this indicator is the trailing stop mechanism, which adjusts dynamically based on the identified FVGs. When a bullish gap is detected, the trailing stop is placed below the price to capture upward momentum, while bearish gaps result in a trailing stop placed above the price. This feature helps traders stay in trends while protecting profits as the price moves.
Use : The trailing stop follows the momentum of the price, ensuring that traders can stay in profitable trades during strong trends and exit when the momentum shifts.
bullish set up
bearish set up
⯌ Trend Direction Indication :
The indicator colors the chart according to the current trend direction based on the position of the price relative to the trailing stop. Green indicates an uptrend (bullish gap), while purple shows a downtrend (bearish gap). This provides traders with a quick visual assessment of trend direction based on the presence of gaps.
Use : Traders can monitor the chart's color to stay aligned with the market’s trend, staying long during green phases and short during purple ones.
⯌ Gap Size Filtering :
Each detected gap is assigned a numerical ranking based on its size, with larger gaps having higher rankings. The gap size filter allows traders to only display gaps that meet a minimum size threshold, focusing on the most impactful gaps in terms of price movement.
Use : Traders can use the filter to focus on gaps of a certain size, filtering out smaller, less significant gaps. The numerical ranking helps identify the largest and most influential gaps for decision-making.
⯌ FVG Level Visualization :
The indicator can display dashed lines marking the levels of previously filled FVGs. These levels represent areas where price once experienced a gap and later filled it. Monitoring these levels can provide traders with key reference points for potential reactions in price.
Use : Traders can use these gap levels to track where price has filled gaps and potentially use these levels as zones for entry, exit, or assessing market behavior.
⯁ USER INPUTS
Filter Gaps : Adjust the size threshold to filter gaps by their size ranking.
Show Gap Levels : Toggle the display of dashed lines at filled FVG levels.
Enable Trailing Stop : Activate or deactivate the trailing stop feature based on FVGs.
Trailing Stop Length : Set the number of bars used to calculate the trailing stop.
Bullish/Bearish Colors : Customize the colors representing bullish and bearish gaps.
⯁ CONCLUSION
The Gaps Trend indicator combines Fair Value Gap detection with a dynamic trailing stop feature to help traders manage trades during periods of high price momentum. By detecting gaps caused by strong buy or sell pressure and applying adaptive stops, the indicator provides a powerful tool for riding trends and managing risk. The additional ability to filter gaps by size and visualize previously filled gaps enhances its utility for both trend-following and risk management strategies.
FVG Alerts (Vortus)What are Fair Value Gaps (FVGs)?
Fair Value Gaps (FVGs) represent price inefficiencies where buying and selling volumes are imbalanced, creating gaps between the wicks of consecutive candles. These gaps often act as magnets for price, as markets tend to "fill" these gaps before resuming their trend.
FVGs can signal potential entry or exit points, making them a valuable tool for traders looking to exploit these price inefficiencies.
How to Use the Script to Add Alerts:
1. Add the Script to Your Chart:
Load the script into TradingView by pasting it into the Pine Script Editor, then apply it to your chart.
2. Adjust Your Settings:
In the "FVG Settings" section, decide whether you want gaps to be removed after their midpoint or full fill. You can also choose to identify gaps only after a candle has closed, adding a level of confirmation to your strategy.
Customize the colors for Bullish and Bearish FVGs under "Visual Settings" to match your chart's theme.
3. Set Up Your Alerts:
After adding the script to your chart, go to the "Alerts" section in TradingView.
Select either "Bullish FVG Filled" or "Bearish FVG Filled" from the "Condition" dropdown menu.
Configure the alert parameters such as frequency, expiration, and notification method according to your trading strategy.
4. Stay on Top of the Market:
Once set up, the script will automatically notify you when a Fair Value Gap is filled, keeping you informed of potential reversal or continuation opportunities without needing to constantly monitor the charts.
Feedback is Welcome
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit
The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors.
The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system.
This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas.
Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels.
Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions.
Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit.
Swing failure patterns help traders identify potential entry points and rejection zones based on price swings.
Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics.
🔵 FEATURES
The indicator has quite a lot of features that are provided below:
Swing market structure
Internal market structure
Mapping structure
Adjustable market structure
Strong/Weak H&L
Sweep
Volumetric Order block / Breakers
Fair Value Gaps / Breakers (multi-timeframe)
Swing Failure Patterns (multi-timeframe)
Deviation area
Equal H&L
Liquidity Prints
Buyside & Sellside
Sweep Area
Highs and Lows (multi-timeframe)
🔵 BASIC DEMONSTRATION OF ALL FEATURES
1. MARKET STRUCTURE
The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator.
➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x').
➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals.
➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions.
➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions.
➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends.
➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure.
2. VOLUMETRIC ORDER BLOCKS
Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone.
Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout.
Here's a breakdown:
➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again.
➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again.
These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure.
➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure.
➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish.
Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers.
3. FAIR VALUE GAPS:
A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies.
FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals.
Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG.
4. SWING FAILURE PATTERN (SFP):
The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions.
SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction.
How it works:
Pattern Detection: The indicator scans for price movements that breach recent highs or lows.
Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP.
➤ SFP Display:
Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards.
Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards.
➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation:
For bullish SFPs, the deviation line appears above the current price.
For bearish SFPs, the deviation line appears below the current price.
These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum.
With Volume Threshold and Filtering of SFP traders can adjust their trading style:
Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity.
SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as:
5. LIQUIDITY CONCEPTS:
➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading.
EQL: A series of two or more swing lows that occur at approximately the same price level.
EQH: A series of two or more swing highs that occur at approximately the same price level.
EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades.
This multi-period feature allows traders to select less and more significant EQL and EQH:
➤ Liquidity wicks:
Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point:
➤ Buy and Sell side liquidity:
The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders.
The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed.
➤ Sweep Liquidation Zones:
Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities.
🔵 USAGE & EXAMPLES
The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades.
MS + OBs
The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum.
The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market.
SFP + Bear OB
This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside.
Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern:
BUY – SELL sides + EQL
The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher.
The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout.
EQL + Bull ChoCh
This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals.
Liquidity grab + Bull ChoCh + FVGs
This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one.
As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher.
The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone.
In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy.
🔵 SETTINGS
Window: limit calculation period
Swing: limit drawing function
Mapping structure: show structural points
Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation
Algorithmic loopback: pivot point look back
Show Last: Amount of Order block to display
Hide Overlap: hide overlapping order blocks
Construction: Size of the order blocks
Fair value gaps: Choose between normal FVG or Breaker FVG
Mitigation: (close - wick - avg) point to mitigate the order block/imbalance
SFP lookback: find a higher / lower point to improve accuracy
Threshold: remove less relevant SFP
Equal H&L: (short-mid-long term) display longer term
Liquidity Prints: Shows wicks of candles where liquidity was grabbed
Sweep Area: Identify Sweep Liquidation areas
By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
ICT Power Of Three | Flux Charts💎 GENERAL OVERVIEW
Introducing our new ICT Power Of Three Indicator! This indicator is built around the ICT's "Power Of Three" strategy. This strategy makes use of these 3 key smart money concepts : Accumulation, Manipulation and Distribution. Each step is explained in detail within this write-up. For more information about the process, check the "HOW DOES IT WORK" section.
Features of the new ICT Power Of Three Indicator :
Implementation of ICT's Power Of Three Strategy
Different Algorithm Modes
Customizable Execution Settings
Customizable Backtesting Dashboard
Alerts for Buy, Sell, TP & SL Signals
📌 HOW DOES IT WORK ?
The "Power Of Three" comes from these three keywords "Accumulation, Manipulation and Distribution". Here is a brief explanation of each keyword :
Accumulation -> Accumulation phase is when the smart money accumulate their positions in a fixed range. This phase indicates price stability, generally meaning that the price constantly switches between up & down trend between a low and a high pivot point. When the indicator detects an accumulation zone, the Power Of Three strategy begins.
Manipulation -> When the smart money needs to increase their position sizes, they need retail traders' positions for liquidity. So, they manipulate the market into the opposite direction of their intended direction. This will result in retail traders opening positions the way that the smart money intended them to do, creating liquidity. After this step, the real move that the smart money intended begins.
Distribution -> This is when the real intention of the smart money comes into action. With the new liquidity thanks to the manipulation phase, the smart money add their positions towards the opposite direction of the retail mindset. The purpose of this indicator is to detect the accumulation and manipulation phases, and help the trader move towards the same direction as the smart money for their trades.
Detection Methods Of The Indicator :
Accumulation -> The indicator detects accumulation zones as explained step-by-step :
1. Draw two lines from the lowest point and the highest point of the latest X bars.
2. If the (high line - low line) is lower than Average True Range (ATR) * accumulationConstant
3. After the condition is validated, an accumulation zone is detected. The accumulation zone will be invalidated and manipulation phase will begin when the range is broken.
Manipulation -> If the accumulation range is broken, check if the current bar closes / wicks above the (high line + ATR * manipulationConstant) or below the (low line - ATR * manipulationConstant). If the condition is met, the indicator detects a manipulation zone.
Distribution -> The purpose of this indicator is to try to foresee the distribution zone, so instead of a detection, after the manipulation zone is detected the indicator automatically create a "shadow" distribution zone towards the opposite direction of the freshly detected manipulation zone. This shadow distribution zone comes with a take-profit and stop-loss layout, customizable by the trader in the settings.
The X bars, accumulationConstant and manipulationConstant are subject to change with the "Algorithm Mode" setting. Read the "Settings" section for more information.
This indicator follows these steps and inform you step by step by plotting them in your chart.
🚩UNIQUENESS
This indicator is an all-in-one suite for the ICT's Power Of Three concept. It's capable of plotting the strategy, giving signals, a backtesting dashboard and alerts feature. Different and customizable algorithm modes will help the trader fine-tune the indicator for the asset they are currently trading. The backtesting dashboard allows you to see how your settings perform in the current ticker. You can also set up alerts to get informed when the strategy is executable for different tickers.
⚙️SETTINGS
1. General Configuration
Algorithm Mode -> The indicator offers 3 different detection algorithm modes according to your needs. Here is the explanation of each mode.
a) Small Manipulation
This mode has the default bar length for the accumulation detection, but a lower manipulation constant, meaning that slighter imbalances in the price action can be detected as manipulation. This setting can be useful on tickers that have lower liquidity, thus can be manipulated easier.
b) Big Manipulation
This mode has the default bar length for the accumulation detection, but a higher manipulation constant, meaning that heavier imbalances on the price action are required in order to detect manipulation zones. This setting can be useful on tickers that have higher liquidity, thus can be manipulated harder.
c) Short Accumulation
This mode has a ~70% lower bar length requirement for accumulation zone detection, and the default manipulation constant. This setting can be useful on tickers that are highly volatile and do not enter accumulation phases too often.
Breakout Method -> If "Close" is selected, bar close price will be taken into calculation when Accumulation & Manipulation zone invalidation. If "Wick" is selected, a wick will be enough to validate the corresponding zone.
2. TP / SL
TP / SL Method -> If "Fixed" is selected, you can adjust the TP / SL ratios from the settings below. If "Dynamic" is selected, the TP / SL zones will be auto-determined by the algorithm.
Risk -> The risk you're willing to take if "Dynamic" TP / SL Method is selected. Higher risk usually means a better winrate at the cost of losing more if the strategy fails. This setting is has a crucial effect on the performance of the indicator, as different tickers may have different volatility so the indicator may have increased performance when this setting is correctly adjusted.
3. Visuals
Show Zones -> Enables / Disables rendering of Accumulation (yellow) and Manipulation (red) zones.
Candle Wick Shadows [UkutaLabs]█ OVERVIEW
The Candle Wick Shadows Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Shadows is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Shadows onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CWS Display: Determines the number of Candle Wick Shadows that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the current time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the current time frame.
- Bearish Color: Determines the color of bearish wick shadows from the current time frame.
5 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 5 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 5 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 5 minute time frame.
15 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 15 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 15 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 15 minute time frame.
30 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 30 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 30 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 30 minute time frame.
60 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 60 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 60 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 60 minute time frame.
240 Minute (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the 240 minute time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the 240 minute time frame.
- Bearish Color: Determines the color of bearish wick shadows from the 240 minute time frame.
Daily (Higher Timeframe)
-Wick Shadow (On/Off): Determines whether or not wick shadows are drawn from the daily time frame chart.
- Bullish Color: Determines the color of bullish wick shadows from the daily time frame.
- Bearish Color: Determines the color of bearish wick shadows from the daily time frame.
Candle Wick Retest [UkutaLabs]█ OVERVIEW
The Candle Wick Retest Indicator identifies untested wicks in real time that occur when there is an imbalance in the number of buyers and sellers at a price-level. This imbalance occurs when a market exchange receives too many of one kind of order, and not enough of its counterpoint.
Candle Wick Retest is a powerful trading indicator that will automatically identify and label strong ranges on traders’ charts that can be incorporated into a wide variety of different trading strategies.
█ USAGE
The script automatically identifies and measures real-time ranges of imbalance between buying and selling pressure in the market using real-time price-action information. These levels indicate potential Supply and Demand zones which serve to help the trader identify areas where price has changed direction in the past due to an imbalance of buyers and sellers.
The script also allows users to mirror higher time frame Candle Wick Retests onto lower time frame charts to gain a stronger understanding of key levels on another scale.
█ SETTINGS
Configuration
- Show Labels: Determines whether or not identification labels are drawn on the chart.
- Max CW Display: Determines the number of Candle Wick Retests that will be drawn on the chart. This is for each higher timeframe option that is toggled, not the total.
Current Time Frame
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the current time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the current time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the current time frame.
5 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 5 minute chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 5 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 5 minute time frame.
15 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 15 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 15 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 15 minute time frame.
30 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 30 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 30 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 30 minute time frame.
60 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 60 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 60 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 60 minute time frame.
240 Minute (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the 240 minute time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the 240 minute time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the 240 minute time frame.
Daily (Higher Timeframe)
- Wick Retest (On/Off): Determines whether wick retests will be drawn from the daily time frame chart.
- Wick Retest Bullish Color: Determines the color of bullish wick retests from the daily time frame.
- Wick Retest Bearish Color: Determines the color of bearish wick retests from the daily time frame.
ICT Immediate Rebalance [LuxAlgo]The ICT Immediate Rebalance aims at detecting and highlighting immediate rebalances, a concept taught by Inner Circle Trader. The ICT Immediate Rebalance, although frequently overlooked, emerges as one of ICT's most influential concepts, particularly when considered within a specific context.
🔶 USAGE
Immediate rebalances, a concept taught by ICT, hold significant importance in decision-making. To comprehend the concept of immediate rebalance, it's essential to grasp the notion of the fair value gap. A fair value gap arises from market inefficiencies or imbalances, whereas an immediate rebalance leaves no gap, no inefficiencies, or no imbalances that the price would need to return to.
Following an immediate rebalance, the typical expectation is for two extension candles to ensue; failing this, the immediate rebalance is deemed unsuccessful. It's important to note that both failed and successful immediate rebalances hold significance in trading when analyzed within a contextual framework.
Immediate rebalances can manifest across various locations and timeframes. It's recommended to analyze them in conjunction with other ICT tools or technical indicators to gain a more comprehensive understanding of market dynamics.
🔹 Multi Timeframe
The script facilitates multi-timeframe analysis, enabling users to display immediate rebalances from higher timeframes.
Enabling the display of higher timeframe candles helps visualize the detected immediate rebalance patterns.
🔹 Dashboard
The dashboard offers statistical insights into immediate rebalances.
🔶 SETTINGS
🔹 Immediate Rebalances
Timeframe: this option is to identify immediate rebalances from higher timeframes. If a timeframe lower than the chart's timeframe is selected, calculations will be based on the chart's timeframe.
Bullish, and Bearish Immediate Rebalances: color customization options.
Wicks 75%, %50, and %25: color customization options of the wick price levels for the detected immediate rebalances.
Immediate Rebalance Candles: toggles the visualization of higher timeframe candles where immediate rebalance is detected.
Confirmation (Bars): specifies the number of bars required to confirm the validation of the detected immediate rebalance.
Immediate Rebalance Icon: allows customization of the size of the icon used to represent the immediate rebalance.
🔹 Dashboard
Dashboard: toggles the visualization of the dashboard, sets its location, and customizes the size of the dashboard.
🔶 RELATED SCRIPTS
Fair-Value-Gap
Thanks to our community for recommending this script. For more conceptual scripts and related content, we welcome you to explore by visiting >>> LuxAlgo-Scripts .
Institutional Supply and Demand ZonesThis indicator aims to identify price levels where institutional investors have positioned their buy or sell orders. These buy orders establish "demand zones," while sell orders create "supply zones." Identifying these zones enables us to anticipate potential reversals in price trends, allowing us to profitably engage in these significant market movements alongside major institutions. These zones are formed when price action goes from balanced to imbalanced. These zones are based on orders. Unlike standard support and resistance levels, when price breaks below a demand zone or above a supply zone, these zones disappear from the chart.
Supply is formed by a green candle followed by a major red candle that is at least double the size of previous green candle. The zone is then charted from the open of the green candle to the highest point in the candle. Vice versa for a demand zone (red into green).
These zones are traded by:
1. Look for a volume spike in a zone
2. A trend/trendline break out of the zone
Liquidity composition / quantifytools- Overview
Liquidity composition divides each candle into sections that are used to display transaction activity at price. In simple terms, an X-ray through candle is formed, revealing the orderflow that built the candle in greater detail. Liquidity composition consists of two main components, lots and columns. Lots and columns can be used to visualize user specified volume types, currently supporting net volume and volume delta. Lots and columns can be used to visualize same or different volume types, allowing a combination of volume footprint, volume delta footprint and volume profile in one single view. Liquidity composition principally works on any chart, whether that is equities, currencies, cryptocurrencies or commodities, even charts with no volume data (in which case volatility is used to approximate transaction activity). The script also works on any timeframe, from minute charts to monthly charts. Orderflow can be observed in real-time as it develops and none of the indications are repainted.
Example: Displaying same volume types on lots and columns
Example: Displaying different volume types on lots and columns
Liquidity composition supports user specified derivative data, such as point of control(s) and net activity coloring. Derivative data can be calculated based on either net volume or volume delta, resulting in different highlights.
With net volume, volume delta and derivative data in one view, key orderflow events such as delta imbalances, high volume nodes, low volume nodes and point of controls can be used to quickly identify accumulation/distribution, imbalances, unfinished/finished auctions and trapped traders.
Accessing script 🔑
See "Author's instructions" section, found at bottom of the script page.
Key takeaways
- Liquidity composition breaks down transaction activity at price, measured in net volume or volume delta
- Developing activity can be observed real-time, none of the indications are repainted
- Transaction activity is calculated using volumes accrued in lower timeframe price movements
- Lots and columns can be used to display same or different volume types (e.g. volume delta lots and net volume columns) in single view
- Users can specify derivative data such as volume delta POCs, net volume POC and net activity coloring
- For practical guide with practical examples, see last section
Disclaimer
Orderflow data is estimated using lower timeframe price movement. While accurate and useful, it's important to note the calculations are estimations and are not based on orderbook data. Estimates are calculated by allotting volume developing on lower timeframe chart to its respective section based on closing price. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Accuracy of the orderflow estimations largely depends on quality of lower timeframe chart used for calculations, which is why this tool cannot be expected to work accurately on illiquid charts with broken data.
Liquidity composition does not provide a standalone trading strategy or financial advice. It also does not substitute knowing how to trade. Example charts and ideas shown for use cases are textbook examples under ideal conditions, not guaranteed to repeat as they are presented. Liquidity composition should be viewed as one tool providing one kind of evidence, to be used in conjunction with other means of analysis.
- Example charts
Chart #1: BTCUSDT
Chart #2: EURUSD
Chart #3: ES futures
- Calculations
By default, size of sections and lower timeframe accuracy are automatically determined for all charts and timeframes. Number of lower timeframe price moves used for calculating orderflow is kept at fixed value, by default set to 350. Accuracy value dictates how many lower timeframe candles are included in the calculation of volume at price. At 350, the script will always use 350 lower timeframe price movements in calculations (when possible). When calculated dynamic timeframe is less than 1 minute, the script switches to available seconds based timeframes. Minimum dynamic timeframe can be capped to 1 minute (as seconds based timeframes are not available for all plans) or dynamic timeframe can be overridden using an user specified timeframe.
Example: Calculating dynamic lower timeframe
Main chart: 4H / 240 minutes
Accuracy value: 100
Formula: 240 minutes / 100 = 2.4 minutes
Timeframe used for calculations = 2 minutes
Section size is automatically determined based on typical historical candle range, the bigger it is, the bigger the section size as well. Like dynamic timeframe, automatic section size can be manually overridden by user specified size expressed in ticks (minimum price unit). Users can also adjust sensitivity of automatic sizing by setting it higher (smaller sections, more detail and more noise) or lower (less sections, less detail and less noise). Section size and dynamic timeframe can be monitored via metric table.
Volume at price is calculated by allotting volume associated with a lower timeframe price movement to its respective section based on closing price (volume is stored to the section that covers closing price). When used on a chart with no volume data, volatility is used instead to determine likely magnitude of participation. Volume delta (difference between buyers/sellers) is calculated by subtracting down move volumes (sell volume) from up move volumes (buy volume). Volumes accrued in sections are monitored over a longer period of time to determine a "normal" amount of activity, which is then used to normalize accrued volumes by benchmarking them against historical values.
Volume values displayed on the left side represent how close or far volume traded at given section is to an extreme, represented by value of 10 . The more value exceeds 10, the more extreme transaction activity is historically. The lesser the value, the less extreme (and therefore more typical) transaction activity is. Users can adjust sensitivity of volume extreme threshold, either by increasing it (more transaction activity is needed to constitute an extreme) or decreasing it (less transaction activity is needed to constitute an extreme).
Example: Interpreting volume scale
0 = Very little to no transaction activity compared to historical values
5 = Transaction activity equal to average historical values
10 = Transaction activity equal to an extreme in historical values
10+ = The more transaction activity exceeds value of 10, the more extreme it is historically
Accuracy of orderflow data largely depends on quality of lower timeframe data used in calculations. Sometimes quality of underlying lower timeframe data is insufficient due to suboptimal accuracy or broken lower timeframe data, usually caused by illiquid charts with gaps and inconsistent values. Therefore, one should always ensure the usage of most liquid chart available with no gaps in lower timeframe data. To combat poor orderflow data, a simple data quality check is conducted by calculating percentage of sections with volume data out of all available sections. Idea behind the test is to capture instances where unusual amount of sections are completely empty, most likely due to data gaps in LTF chart. E.g. 90% of sections hold some volume data, 10% are completely empty = 90% data quality score.
Data quality score should be viewed as a metric alerting when detail of underlying data is insufficient to consider accurate. When data quality score is slightly below threshold, lower timeframe chart used for calculations is likely fine, but accuracy value is too low. In this case, one should increase accuracy value or manually override used timeframe with a smaller one. When data quality score is well below threshold, lower timeframe chart used for calculations is likely broken and cannot be fixed. In this case, one should look for alternative charts with more reliable data (e.g. ES1! -> SPY, BITSTAMP:BTCUSD -> BINANCE:BTCUSDT).
Example : When insufficient data quality scores can/cannot be fixed
- Derivative data
Point of control
Point of control, referring to point in price where transaction activity is highest, can be calculated based on the volume type of lots or columns (based on net volume or volume delta). Depending on the calculation basis, displayed point of controls will vary. POC calculated based on net volume is no different from traditional POC, it is simply the section with highest amount of transaction activity, marked with an X. When calculating POC based on volume delta, the script will highlight two point of controls, named leading and losing point of control . Leading POC refers to lot with highest amount of volume delta, marked with an X. If leading POC was net buy volume, losing POC is marked on section with highest net sell volume, marked with S respectfully. Same logic applies in vice versa, if leading POC is net sell volume, losing POC is marked on highest buy volume section, using the letter B.
Net activity
Similarly to point of control calculation, net activity can be calculated based on either volume types, lots or columns. When calculating net activity based on net volume, candles will be colorized according to magnitude of total volume traded. When calculating net activity based on volume delta, candles will be colorized according to side with most volume traded (buyers or sellers). Net activity color can be applied on borders or body of a candle.
- Visuals
Lots, columns, candles and POCs can be colorized using a fixed color or a volume based dynamic color, with separate color options for buy side volume, sell side volume and net volume.
Metric table can be offsetted horizontally or vertically from any four corners of the chart, allowing space for tables from other scripts.
Table sizes, label sizes and offsets for visuals are fully customizable using settings menu.
- Practical guide
OHLC data (candles) is a simple condensed visualization of an auction market process. Candles show where price was in the beginning of an auction period (timeframe), the highest/lowest point and where price was at the end of an auction. The core utility of Liquidity composition is being able to view the same auction market process in much greater detail, revealing likely intention, effort and magnitude driving the process. All basic orderflow concepts, such as ones presented by auction market theory can be applied to Liquidity composition as well.
The most obvious and easy to spot use case for orderflow tools is identifying trapped traders/absorption, seen in high transaction activity at the very highs/lows of a candle or even better, at wicks. High participation at wicks can be used to identify forced orders absorbed into limit orders, idea behind being that when high transaction activity is placed at a wick, price went one direction with a lot of participation (high effort) and came right back up (low impact) within the same time period.
Absorption can show itself in many ways:
- Extreme buy volume sections at wick highs or buy side POC at wick highs
- Multiple, clustered high buy volume sections (but not extreme) at wick highs
- Positive net volume delta into a reversal down
- Extreme sell volume sections at wick lows or sell side POC at wick lows
- Multiple, clustered high sell volume sections (but not extreme) at wick lows
- Negative net volume delta into a reversal up
- Extreme net volume sections at or net volume POC at wick highs/lows
- Extreme net volume into a reversal up/down
For accurate analysis, orderflow based events should be viewed in the context of price action. To identify absorption, it's best to look for opportunities where an opposing trend is clearly in place, e.g. absorption into highs on an uptrend, absorption into lows on a downtrend. When price is ranging without a clear trend or there's no opposing trend, extreme activity at an extreme end of a candle might be aggressive participants attempting to initiate a new trend, rather than getting absorbed in the same sense. With enough effort put into pushing price to the opposite direction at overextended price, a shift in trend direction might be near.
Price action based levels are a great way to get context around orderflow events. Simple range highs/lows as a single data point serve as a high probability regimes for reversals, making them a great point of confluence for identifying trapped traders.
Low to zero volume sections can be used to identify points in price with little to no trading, leaving a volume null/void behind. Typically sections like these represent gaps on a lower timeframe chart, which can be used as reference levels for targets and support/resistance.
Net volume can be used for same purposes as above, but for determining general intention of market participants it's a much more suitable tool than volume delta. According to auction market theory, low/no participation is considered to reject prices and high participation is considered to accept prices. With this concept in mind, unfinished auctions occur when participation is high at highs or high at lows, idea behind being that participants are showing willingness and interest to trade at higher or lower prices. Auction is considered finished when the opposite is true, i.e. when participants are not showing willingness to trade at higher/lower prices. In general, direction of unfinished auctions can be expected to continue shortly and direction of unfinished auctions can be expected to hold.
While shape of volume delta and net volume are usually similar, they're not the same thing and do not represent the same event under the hood. Volume delta at 0 does not necessarily mean participation is 0, but can also mean high participation with equal amount of buying and selling. With this distinction in mind, using volume delta and net volume in tandem has the benefit of being able to identify points in price with a lot of up and down price movement packed into a small area, i.e. consolidation. Points in price where price hangs around for an extended period of time can be used to identify levels of interest for re-tests and breakout opportunities.
ICT HTF Candles [Source Code] (fadi)Plotting a configurable higher timeframe on current chart's timeframe helps visualize price movement without changing timeframes. It also plots FVG and Volume Imbalance on the higher timeframe for easier visualization.
With ICT concepts, we usually wait for HTF break of structure and then find an entry on a lower timeframe. With this indicator, we can set it to the HTF and watch the develop of price action until the break of structure happens. We can then take an entry on the current timeframe.
Settings
HTF Higher timeframe to plot
Number of candles to display The number of higher timeframe candles to display to the right of current price action
Body/Border/Wick The candle colors for the body, border, and wick
Padding from current candles The distance from current timeframe's candles
Space between candles Increase / decrease the candle spacing
Candle width The size of the candles
Imbalance
Fair Value Gap Show / Hide FVG on the higher timeframe
Volume Imbalance Show / Hide Volume Imbalance on the higher timeframe
Trace
Trace lines Extend the OHLC lines of the higher timeframe and the source of each
Label Show/Hide the price levels of the OHLC
SMC Toolkit |ASE|This indicator provides 10+ features all-in-one. Focusing on price action and Smart Money concepts, we have provided automated multi-timeframe features such as Market Structure(BOS / CHoCH) to identify trends, Fair Value Gaps to identify Imbalances, and much more.
Pure price action analysis is a preferred strategy over indicators due to their lag and noise. Many traders popularized SMC or “Smart Money” concepts to identify and trade like/with institutions or Smart Money traders. We have automated these features and made them multi-timeframe to simplify your charting process and advance your trading so you can efficiently trade.
Features:
The included price action features are listed below:
- Multi-Timeframe Market Structure (BOS, CHoCH, MSS, IDM)
- Trend based Candle Coloring
- Multichart (Extra time frame on the same chart)
- Multi-Timeframe Fair Value Gaps & Balanced Price Ranges
- Trapped Market Participants (Multi-Time Frame based on Orderblocks)
- SMT Divergences
- Volume Imbalances
- Premium Discount Array
- Displacement Candles
- Previous OHLC (Daily, Weekly, Monthly)
- VWAP and Std.Dev. Waves
Benefits & Examples:
In the image below we can see plenty of trade setups that formed in confluence with the features we were using. Displayed we have higher timeframe FVGs as our point of interests, Market Structure (Trend Bar Coloring) as our entry confirmation, and Liquidity Levels as our targets.
In this image we can see the same setup as before, higher timeframe FVG with Market Structure reversal targeting a Liquidity Level. In addition we can see the Trapped Market Participants feature showing trapped sellers at the low which provides additional confluence for our long position and offers a cleaner and safer entry on the pullback.
Our goal is to provide as many useful features as possible, automating the process to make it easier and quicker for us as traders. We want to spend less time charting and more time planning proper trades.
Institutional Patterns (Zeiierman)█ Overview
Institutional Patterns (Zeiierman) reveals how large participants quietly shape market structure. It transforms price, volume, and momentum into a unified view of institutional activity, helping traders see beyond surface volatility to understand where meaningful capital is entering or exiting the market.
The indicator operates through two primary layers:
Pre-Institutional Activity, which highlights early accumulation or distribution before trends emerge, and Institutional Activity , which visualizes active participation once those trends are underway. Each layer combines flow signals from momentum, trend, and volume domains into an adaptive map of market behavior. The result is a fluid representation of how professional money interacts with price, showing when participation is strengthening, fading, or shifting direction.
⚪ Why This One Is Unique
Traditional “smart money” indicators focus on one aspect of market behavior. Institutional Patterns blends multiple adaptive models into a single, self-adjusting framework that evaluates participation strength and direction dynamically.
Its internal flow engine rebalances several momentum and volume dimensions based on changing volatility and structure. This allows it to remain stable in trending environments while still sensitive to early signs of accumulation or exhaustion. Traders gain a clear sense of whether the underlying flow supports or contradicts visible price action.
█ Main Features
⚪ Smart Money Flow
Smart Money Flow provides a multi-dimensional view of how institutional participation evolves beneath price action. It combines several adaptive models that represent different aspects of market behavior—momentum, volatility balance, trend inertia, and volume displacement—into a single synchronized flow structure.
When the flows move together, it shows unified institutional behavior; when they diverge, it signals redistribution, exhaustion, or hidden accumulation. The flow visualization reacts dynamically to volatility shifts, helping traders detect the strength or fragility behind visible price trends.
⚪ Institutional Activity Layer
The Institutional Activity Layer transforms the collective signals of Smart Money Flow into a coherent measure of institutional intent. It visualizes where capital is entering or exiting positions in real time.
Each activity pulse represents the depth of institutional engagement, filtered through adaptive volatility scaling. Green regions highlight expansion phases when capital is building into strength, while red regions indicate contraction or controlled distribution.
This layer bridges the gap between short-term trader behavior and long-term professional positioning, providing a clear and adaptable view of where meaningful market participation truly resides.
⚪ Key Terms
Accumulation vs. Distribution
These terms describe what large participants are doing, not necessarily whether price is going up or down at that moment:
Accumulation: Institutions are building long exposure—quietly buying over time, often during a sideways or suppressed market phase, before a larger uptrend.
Distribution: Institutions are building short exposure or unloading longs—selling gradually into strength, often during or near the end of an uptrend.
In a Uptrend Context
During an uptrend, institutions often accumulate early and distribute later.
Accumulation occurs when large players are building long positions during consolidation or pullbacks, preparing for the next upward leg.
Distribution takes place when they begin offloading those long positions into strength, gradually selling to retail demand near or after market peaks.
In a Downtrend Context
Even in a downtrend, both processes can still occur.
When large players are adding short positions at higher levels, this represents distribution, as they are distributing supply into the market as the price attempts to rally.
When institutions begin covering shorts or quietly building new long exposure for a future recovery, that marks accumulation, reflecting strategic buying while price remains weak and undervalued.
█ How to Use
⚪ Trend Following
The simplest way to use the indicator is to look for alignment across the Smart Money Flow components.
When most of the flows align in green, it signals strong buying pressure and confirms that institutional participation supports the uptrend. This is the ideal environment for trend-following trades in the direction of strength.
When most flows align in red, it indicates dominant selling pressure and active distribution, suggesting short opportunities aligned with the prevailing downtrend.
⚪ Pullbacks
Pullbacks can be identified when the Leading Flow begins to diverge from the primary Smart Money Flow.
If the main flow remains bullish (green) but the leading flow temporarily turns bearish (red), it often marks a short-term retracement within an uptrend. This phase can offer re-entry opportunities for long positions once the flows realign.
In a downtrend, the opposite applies. If the main flow remains bearish (red) and the leading flow turns bullish (green), it signals a temporary countertrend bounce that may provide short re-entry points after the correction fades.
⚪ Breakouts
Breakouts are best confirmed by the Institutional Activity Layer.
A bullish breakout occurs when institutional activity spikes above a breakout level with clear green intensity, confirming active capital expansion and strong follow-through potential.
Conversely, a bearish breakout is confirmed when institutional activity rises below a breakdown level with strong red intensity, signaling renewed distribution and a potential continuation of the downtrend.
⚪ Reversals
Institutional activity can also reveal potential reversal zones.
If red or pink activity appears after an extended downtrend or near a lower trading range, it may indicate accumulation and an upcoming bullish reversal.
If green or aqua activity forms after a prolonged uptrend or near upper resistance levels, it may signal distribution and the beginning of a bearish reversal.
Note: These signals can be the first sign of a potential reversal, but they still need confirmation before taking action.
⚪ Squeeze Detections
Squeeze conditions occur when volume flow begins to diverge from the primary trend, showing early signs of trapped positioning.
If volume flow turns bullish while price and trend flow remain bearish, it suggests buyers are stepping in early. If the price then accelerates downward, longs get trapped and start closing positions, triggering a long liquidation that further fuels the drop.
If volume flow turns bearish while price and trend flow remain bullish, it signals early selling pressure. If the price then pushes higher, shorts begin exiting to limit losses, causing a short squeeze that amplifies the upward move.
█ How It Works
⚪ Flow Integration Framework
The indicator combines several flow components into a single activity field using advanced normalization and smoothing logic. Each flow—trend, momentum, oscillator, and volume bias—contributes a weighted directional influence. These are blended into a balanced structure that represents the strength and direction of institutional behavior across time.
Calculation: Employs multi-domain normalization and weighted signal blending to synchronize phase, reduce noise, and maintain a coherent directional bias across all flow sources.
⚪ Institutional Activity Core
At the core of the system is a volatility-adaptive activity model that interprets both price displacement and volume footprint asymmetry. It measures how trade flow diverges from recent equilibrium and translates that divergence into a refined intensity signal. The model reacts dynamically to imbalances between buying and selling pressure (delta), revealing whether institutional flow is accumulating into strength or distributing into weakness.
Calculation: Utilizes a dynamic volatility envelope combined with delta-weighted response mapping to translate footprint imbalances into a smooth, self-adjusting participation curve.
⚪ Pre-Institutional Detection Engine
The early detection engine isolates latent footprint formations and delta transitions that occur before price movement becomes visible. It examines structural variance, order-flow dispersion, and volatility compression to pinpoint areas where large participants begin to build or unwind positions.
Calculation: Applies entropy-weighted variance mapping and flow compression analysis to reveal pre-breakout regions of capital absorption or release.
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Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. 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.
유료 스크립트
ICT HTF Candles (fadi)Plotting a configurable higher timeframe on current chart's timeframe helps visualize price movement without changing timeframes. It also plots FVG and Volume Imbalance on the higher timeframe for easier visualization.
With ICT concepts, we usually wait for HTF break of structure and then find an entry on a lower timeframe. With this indicator, we can set it to the HTF and watch the develop of price action until the break of structure happens. We can then take an entry on the current timeframe.
Settings
HTF Higher timeframe to plot
Number of candles to display The number of higher timeframe candles to display to the right of current price action
Body/Border/Wick The candle colors for the body, border, and wick
Padding from current candles The distance from current timeframe's candles
Space between candles Increase / decrease the candle spacing
Candle width The size of the candles
Imbalance
Fair Value Gap Show / Hide FVG on the higher timeframe
Volume Imbalance Show / Hide Volume Imbalance on the higher timeframe
Trace
Trace lines Extend the OHLC lines of the higher timeframe and the source of each
Label Show/Hide the price levels of the OHLC
