Multi-Session Levels (Exclusive Logic)Overview
Multi-Session Levels (Exclusive Logic) is a specialized technical analysis tool designed for intraday traders who rely on session-based liquidity and reference levels (Highs, Lows, Opens, and Pivots). Unlike standard session indicators that often clutter the chart with overlapping historical data, this script utilizes a custom "Exclusive Display Logic" to ensure that traders only see the most relevant historical context based on the current time of day.
The primary innovation of this script is its context-aware filtering. When a specific market session is active (e.g., London), the script automatically hides that session's own previous day levels to prevent visual "intrusion" or bias. Instead, it projects the locked reference levels of the other major global sessions (Asia and New York) onto the current price action. This allows traders to focus on cross-session liquidity grabs and breakout retests without the distraction of redundant data.
Technical Methodology & Calculations
The script calculates levels based on the official exchange market hours using native timezones to ensure 100% accuracy regardless of the user's local clock:
Asia (Tokyo Stock Exchange): 09:00 - 15:00 JST
London (London Stock Exchange): 08:00 - 16:30 GMT/BST
New York (New York Stock Exchange): 09:30 - 16:00 EST/EDT
Key Calculations:
PSH / PSL (Previous Session High/Low): Uses a state-machine tracking algorithm that captures the absolute high and low of the defined session window. Once the session window closes, these values are "locked" and projected forward to the next relevant trading day.
PSO (Previous Session Open): Captures the open price of the very first bar within the session string.
PSP (Previous Session Pivot): Calculated as the Midpoint $(High + Low) / 2$ of the completed session, serving as a critical mean-reversion level.
Current Session Open: Identifies the real-time opening price of the active session to monitor current-day bias.
How to Use
Identify Liquidity Pools: Use the PSH (Previous Session High) and PSL (Previous Session Low) labels to identify where "buy-side" and "sell-side" liquidity may be resting from previous global sessions.
Monitor Cross-Session Breaks: While trading London, watch how price reacts to the Asia PSH/PSL. A break and retest of these levels often signals a trend continuation or a fake-out (liquidity sweep).
Pivot Midpoints: Use the PSP (Dashed line) as a value area. Price trading above the PSP generally indicates a bullish session bias, while trading below indicates a bearish bias.
Customization: Use the "Visibility" toggles in the settings to isolate specific levels (like just the Open or just the High/Low) depending on your specific trading strategy.
Settings
Market Hours: Users can refine the session strings if they wish to track "Pre-market" or "Electronic Trading Hours" instead of official exchange hours.
Visibility: Toggle PSH, PSL, PSP, and PSO individually.
Styling: Full control over session colors to match your chart theme. Indicator
Indicator
Daily Bias Liquidity Profiler [MarkitTick]💡 This advanced analytical framework is engineered to decode market structure, track liquidity sweeps, and map volatility profiles on an intraday basis. Built natively for the sophisticated Pine Script version 6 environment, this indicator transcends basic charting by aggregating Previous Day metrics, session-specific liquidity pools, Fair Value Gap (FVG) confluences, and probabilistic bias models into a single, cohesive visual interface. It is designed for quantitative and algorithmic traders who require a deep understanding of market mechanics, offering unparalleled insight into where resting liquidity is likely positioned and how daily volatility is structured based on pure statistical variance.
✨ Originality and Utility
● Comprehensive Architectural Design
Most standard technical indicators focus on a single mathematical transformation, such as moving averages or simple momentum oscillators. The originality of this profiler lies in its multi-faceted approach, unifying advanced price action concepts that typically require multiple separate scripts. By leveraging Pine Script version 6 User-Defined Types (UDTs), the script maintains an incredibly lightweight footprint while calculating complex, interconnected market states without degrading chart performance.
● Algorithmic Session Tracking
The utility of the indicator is profoundly evident in its automated handling of time-based liquidity. Rather than manually drawing boxes around the Asian and London sessions, the script dynamically profiles these periods. It treats their boundaries not as mere historical artifacts, but as active, magnetic liquidity pools that drive future price action.
● Real-Time Bias Computation
This tool introduces a dynamic probability engine that continuously evaluates the likelihood of price sweeping the Previous Day High or Previous Day Low based on current opening momentum and accumulated volatility. This gives traders a statistical edge in determining their daily directional bias without relying on subjective chart patterns.
🔬 Methodology and Concepts
● Daily Range Profiling
At the core of the script's methodology is the Daily Profile engine. It systematically captures the Previous Day High, Previous Day Low, and Previous Day Close. These levels represent the absolute boundaries of yesterday's value area. The script calculates the total range of the previous day to establish a baseline for current-day expectations and statistical deviation limits.
● Session Liquidity Engineering
The script defines distinct macro-economic windows, specifically targeting the Asian and London trading sessions.
Asian Session Consolidation: Often characterized by tight ranges, the Asian session builds resting liquidity above its highs and below its lows. The algorithm tracks these exact price levels dynamically.
London Session Expansion: The script monitors the London open for initial expansion moves that frequently sweep the liquidity accumulated during the Asian session, triggering internal alerts when these specific thresholds are pierced.
● Fair Value Gap (FVG) Confluence
Market imbalances are identified through a precise Fair Value Gap detection algorithm. The script does not just highlight every random gap on the chart; it specifically looks for FVG formations that align with the directional bias and occur in proximity to session sweeps. This creates a high-probability confluence signal, indicating that the market is rapidly moving to rebalance price delivery.
● Advanced Volatility Metrics
Volatility is not measured through standard lagging indicators. Instead, the script utilizes an Average Daily Range (ADR) calculation. It dynamically tracks the percentage of the ADR that has been fulfilled during the current day. By calculating how many bars it typically takes to reach standard deviation milestones of the ADR, the script provides a predictive model for intraday exhaustion.
● Dynamic Bias Scoring Engine
The indicator calculates a running score to determine the daily bias. It awards positive and negative weights based on several factors: the location of the current price relative to the daily open, whether a session liquidity sweep has occurred, the presence of FVG confluences, and the proximity to the Previous Day's extremes. This score is translated into a probability percentage for sweeping either the high or the low.
🎨 Visual Guide
● Liquidity Zones and Range Boxes
Session Boxes: Distinct, shaded rectangular regions drawn over the chart to encapsulate the high and low bounds of the Asian and London sessions. These boxes visually isolate the accumulation phases.
Range Zone Boxes: Projected areas above and below the current price action representing high-probability reversal or expansion targets based on the ADR calculations.
● Structural Lines
Previous Day Boundaries: Solid, distinct horizontal lines marking the exact price levels of the Previous Day High and Previous Day Low.
Midlines: Subtler horizontal lines traversing the center of the calculated range zones to indicate equilibrium levels where price action may stall or pivot.
● Dynamic Labels and Alerts
Sweep Labels: Textual annotations that appear exactly when price pierces a session boundary or previous day extreme, explicitly confirming a liquidity sweep.
Bias State Text: A dedicated label displaying the current statistical bias, updating dynamically as volatility metrics shift throughout the trading day.
📖 How to Use
● Establishing Directional Bias
Begin your analysis by referencing the Bias State metric displayed on the chart. If the script calculates a high probability of sweeping the Previous Day High, prioritize bullish setups. Conversely, a high probability for the Previous Day Low dictates a bearish posture. Do not fight the algorithmic bias without significant contradicting evidence from higher timeframes.
● Executing the Sweep and Reverse
Monitor the Asian and London session boxes. A prime setup occurs when price aggressively breaks outside a session box and immediately faces strong rejection. This false breakout is the trigger for a mean-reversion trade targeting the opposite side of the session range. Look for the script's sweep labels to confirm the level has been compromised.
● Filtering with Volatility
Consult the Volatility Metrics before entering a trade. If the current daily range has already fulfilled a high percentage of the Average Daily Range (ADR), the probability of further directional expansion diminishes. In such cases, avoid breakout trades and look for exhaustion reversals at the projected Range Zone extremes.
● Utilizing FVG Confluence
When a sweep occurs, wait for the algorithm to highlight a valid Fair Value Gap in the opposite direction of the sweep. Enter the market on the retracement into this FVG, placing stop losses just beyond the sweep extreme for optimal risk-to-reward ratios.
⚙️ Inputs and Settings
● Time and Session Configuration
Asia Session Hours: Allows the user to precisely define the start and end times of the Asian session based on their specific exchange and timezone.
London Session Hours: Configurable inputs to match the precise opening and closing dynamics of the European market.
● Volatility Parameters
ADR Lookback Length: The historical window (number of days) used to calculate the Average Daily Range. A shorter lookback makes the indicator more responsive to recent volatility spikes, while a longer lookback provides a smoother, more stable expected range.
● Visual Toggles
Show Session Boxes: A boolean toggle to enable or disable the shaded background for trading sessions, allowing for a cleaner chart if only the boundary lines are desired.
Show Sweep Labels: Allows users to turn off the text annotations for liquidity sweeps to reduce visual clutter during highly volatile, choppy market conditions.
🔍 Deconstruction of the Underlying Scientific and Academic Framework
● Auction Market Theory and Liquidity
The foundational logic of this script is deeply rooted in Auction Market Theory. Financial markets operate as a continuous dual-auction process, seeking areas of high liquidity to facilitate trade execution for large-scale participants. The script mathematically models this by isolating session highs and lows, recognizing them as high-density zones for stop-loss orders and breakout triggers.
● Statistical Variance and Range Forecasting
The Volatility Metrics engine relies on historical variance. By computing the Average Daily Range over a predefined dataset, the script applies a simplified standard deviation model to predict the expected boundaries of the current day. This creates a probabilistic bell curve of expected price distribution, where the extremes of the ADR represent the tails of the distribution curve, indicating areas of high mean-reversion probability.
● Microstructural Order Flow Imbalances
The Fair Value Gap (FVG) detection logic is an algorithmic representation of order flow imbalance. In academic market microstructure, when price moves with extreme velocity, it creates a void in the bid-ask spread where only one side of the market was effectively matched. The script mathematically identifies these structural inefficiencies, utilizing them as high-probability zones for future price retracements, as the market naturally seeks to re-auction these inefficiently traded areas.
● Probabilistic Modeling
The bias engine utilizes a rudimentary form of multi-factor linear weighting. By assigning specific values to isolated market events (e.g., crossing the open price, sweeping a specific session), the model computes a composite score. This deterministic approach strips away emotional trading by replacing it with a quantifiable metric that guides directional expectations.
⚠️ Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion. Indicator
Ranked Order Block Zones (Zeiierman)█ Overview
Ranked Order Block Zones (Zeiierman) is an advanced Order Block engine that transforms traditional OB detection into a dynamic ranking and prioritization system.
Instead of displaying every detected Order Block equally, the script stores each zone as a structured data object, evaluates its quality in real time using multiple market factors, and continuously ranks all active zones based on their relative strength.
The result is a cleaner, more intelligent Order Block framework that focuses attention on the highest-quality institutional zones currently influencing price action.
█ How It Works
⚪ Structured Order Block Engine
Each detected Order Block is stored as a structured UDT object containing its price range, direction, size, mitigation state, volume behavior, trend alignment, internal strength, and overall quality score. This allows every zone to behave like an active market structure rather than a static drawing.
The script detects Order Blocks using candle-flip structures combined with ATR-normalized body validation, allowing the system to automatically adapt across different assets, volatility conditions, and timeframes.
⚪ Dynamic Quality Ranking
Every Order Block receives a continuously updated quality score based on:
• Zone size relative to ATR
• Volume expansion
• EMA trend alignment
• Candle displacement strength
• Mitigation progress
• Zone age decay
All Order Block objects are stored inside an array and ranked using Pine Script’s native UDT collection sorting:
obs.sort(order.descending, sort_field = "qualityScore")
This allows the script to dynamically reorder all active zones in real time, prioritizing the strongest institutional areas while weaker zones gradually lose ranking.
⚪ Smart Zone Management
After sorting, only the highest-ranked Order Blocks are displayed on the chart while lower-quality zones remain internally tracked but hidden from view. The script can also merge overlapping zones of the same direction to reduce clutter and create a cleaner institutional structure.
Each zone continuously tracks mitigation progress. As price trades deeper into an Order Block, its quality score weakens until fully mitigated zones are automatically removed.
⚪ Internal Strength Distribution
Every Order Block contains bullish and bearish internal pressure components displayed as live strength bars inside the zone.
These help visualize:
• Directional dominance
• Continuation potential
• Structural weakness
• Opposing pressure developing inside the zone
█ How to Use
⚪ Focus on Top-Ranked Zones
Only the strongest Order Blocks are displayed based on current market conditions and quality ranking.
⚪ Read Internal Strength Bars
• Strong directional dominance → higher continuation probability
• Balanced pressure → weaker structure
• Opposing pressure growth → increasing failure risk
⚪ Watch for Retests
Order Blocks become most useful when price revisits the zone after the initial displacement move.
Strong retests often show:
• Immediate reaction from the zone
• Strong directional continuation
• Respect of internal strength alignment
Deeper or repeated retests can weaken the zone over time as mitigation increases and quality decays.
█ Related Scripts
Ranked FVG Imbalance Zones (Zeiierman)
█ Settings
Show Top Zones: Controls how many of the highest-ranked Order Blocks are displayed.
Max Stored OBs: Controls how many Order Blocks are tracked internally.
Volume MA Length: Defines the baseline used for volume expansion scoring.
Trend EMA Length: Defines the EMA used for trend alignment scoring.
Min Flip Body ATR: Defines the minimum candle body size required for valid Order Block creation.
Merge Overlapping OBs: Enables automatic merging of overlapping zones.
Max Merge Size ATR: Prevents merged zones from becoming excessively large.
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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.
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CandelaCharts - First P.FVG Killzone📝 Overview
The First P.FVG Killzone indicator automatically maps out user-defined trading sessions (Killzones) and highlights the First Presented Fair Value Gap (FVG) that forms within them.
Based on ICT concepts, killzones are specific time windows where high probability setups often occur. The first FVG to form in these sessions can act as a crucial reference point for the market's direction. This tool helps traders visualize the session range, the first institutional imbalance, and historical sweep probabilities.
📦 Features
Customizable Killzone Sessions (Asia, London, NY AM, NY Launch, NY PM, and Custom sessions)
First Presented FVG Detection within each session
Session Range Visualization (High, Low, and Mean lines with invalidation tracking)
FVG Visibility Filters (All, Bullish, Bearish, None)
Advanced FVG Styling (Midline, Borders, Labels, Extension Modes)
Session Dividers and Timeframe Separators
Historical Sweep Statistics (Probability of session High/Low sweeps)
⚙️ Settings
General: Adjust global text size and visibility of the brand watermark.
Imbalance Settings: Control the filtering, styling, and extension behavior (Fixed, Session End, Full) of the First P.FVG.
History: Set the total number of historical sessions to display.
Sessions (First to Eighth): Toggle visibility, set timeframes, and customize colors for each killzone.
Styles: Customize the appearance of the session box, borders, labels, and extended High/Low/Mean lines.
Statistics: Enable and configure historical probability tracking for session sweeps (Total Sweep vs. Session Overlap).
Dividers: Manage the style, width, and color of vertical session dividers and timeframe separators.
⚡️ Showcase
Killzone Sessions
Visualizing the different killzones with their defined ranges.
First Presented FVG
Highlighting the first FVG that forms inside the session.
Sweep Statistics
Displaying the historical probability of the session high or low being swept.
📒 Usage
The indicator is highly customizable, allowing you to use various session models and automatically detect the first Fair Value Gap (FVG) that forms within each defined session.
How to use in trading
The first Fair Value Gap of a specific session often sets the tone for subsequent price action. Price frequently gravitates towards and interacts with these initial imbalances later in the trading day. Because of this, the First Presented FVG can serve as a key intraday reference point, acting as strong dynamic support or resistance (S/R) levels. Traders can watch these extended FVG zones for high-probability continuation setups or potential reversal points when the price retraces back into them.
Below are some common reference times you can use when setting up your sessions:
ICT Killzones:
Asia: 2000-0000
London: 0200-0500
NY AM: 0930-1100
NY Launch: 1200-1300
NY PM: 1330-1600
Classic Sessions:
Sydney: 1700-0200
Tokyo: 1900-0400
London: 0300-1200
New York: 0800-1700
Harmonic Series:
Origin: 0000-0300
Prime: 0300-0600
Ascent: 0600-0900
Apex: 0900-1200
Meridian: 1200-1500
Entropy: 1500-1800
Vector: 1800-2100
Convergence: 2100-0000
🚨 Alerts
This script provides alert options for when a new First Presented FVG is formed in any of the configured Killzones.
Bearish Signal
A bearish signal is triggered when the first bearish P.FVG is formed within an active Killzone.
Bullish Signal
A bullish signal is triggered when the first bullish P.FVG is formed within an active Killzone.
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
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HTF Highs & Lows + SessionsHTF Highs & Lows + Sessions
This indicator plots two categories of information on your chart: higher timeframe swing levels and session highs/lows.
HTF Swing Levels
Scans 1H, 4H, and 1D candles for a specific two-bar reversal pattern — a bullish candle followed by a bearish candle (for swing highs) or a bearish candle followed by a bullish candle (for swing lows). When that pattern is found, it marks the extreme of those two candles as a significant price level. It then checks if that level has already been taken out by a subsequent candle — if it has, the level is ignored. If it hasn't, it draws a horizontal ray extending to the right from that price. Each timeframe has its own color (light red for 1H, bright red for 4H, dark red for 1D) so you can quickly identify which timeframe a level belongs to.
If price takes out one of these levels during the sweep window (8am–12pm ET), the ray converts to a dotted line and stops extending, marking it as swept rather than deleting it entirely.
Session Highs & Lows
Tracks the high and low of four sessions in real time — New York (9:30–5pm ET), London (3–8am ET), Asia (6pm–3am ET), and Pre Market (8–9:30am ET). Each session gets a live horizontal line at its current high and low that updates as price moves. When price breaks a session level outside the sweep window the line is deleted. When price breaks it inside the sweep window (8am–12pm ET) it converts to a dotted line instead, preserving the swept level visually. Session lines only display on intraday timeframes and are hidden on the daily and above.
Intended Use
Designed for traders who use higher timeframe liquidity levels as context for intraday entries — particularly identifying which HTF swing points have been swept during the early New York session window, which is a core concept in smart money / ICT-based trading frameworks. Indicator
SmartFlow Kill ZoneSmartFlow Kill Zone highlights the three major trading sessions (Tokyo, London, New York) and their corresponding ICT Kill Zones directly on your chart. Designed for intraday traders who use session-based and Smart Money Concepts (SMC) strategies, this indicator gives you instant visual clarity on when high-probability trading windows are active.
█ WHAT IT DOES
This indicator identifies and displays the three global forex sessions and three ICT Kill Zones using distinct background colors. It also tracks the High and Low of each session in real time and draws horizontal reference lines that update as the session progresses.
A built-in dashboard provides a quick overview of which sessions and Kill Zones are currently active, along with each session's range in pips.
█ HOW IT WORKS
Session and Kill Zone detection is based on time-of-day logic using the user-selected timezone (default: America/New_York):
Sessions:
- Tokyo: 19:00 – 04:00 ET
- London: 03:00 – 12:00 ET
- New York: 08:00 – 17:00 ET
Kill Zones (ICT):
- London Kill Zone: 02:00 – 05:00 ET
- New York Kill Zone: 07:00 – 10:00 ET
- Asian Kill Zone: 20:00 – 00:00 ET (off by default)
Session High/Low lines are drawn from the session's opening bar and updated on every new bar during the session. When a session closes, lines optionally extend to the right until the next session of the same type begins. Previous sessions' High/Low lines are preserved across multiple days (configurable via "Days to Display").
The dashboard table uses the last bar's data to show open/closed status, the session's current range, and whether any Kill Zone is active.
█ HOW TO USE
- Apply the indicator to any intraday chart (1m to 1h recommended).
- Use the background shading to quickly identify which session you are trading in.
- The brighter Kill Zone overlay tells you when the highest-probability reversal windows are active — this is where ICT traders look for optimal trade entries.
- Session High/Low lines act as key reference levels. Price often reacts at these levels as they represent session-based liquidity.
- The dashboard gives you a heads-up display so you never miss a Kill Zone activation.
█ FEATURES
- Three session backgrounds with independent on/off toggles
- Three ICT Kill Zone backgrounds with independent on/off toggles
- Real-time Session High/Low tracking with configurable line style and width
- High/Low labels that update live during the session
- "Extend Lines Right" option for lines to project forward until the next session
- Multi-day history (up to 30 days of past session H/L lines)
- Dashboard with session status, range (pips), and Kill Zone status
- Dashboard position and size are fully customizable
- 9 alert conditions (session open/close and Kill Zone activation)
- Full timezone support (10 major timezones)
- Works on any symbol and any intraday timeframe
█ SETTINGS
Sessions — Toggle visibility for Tokyo, London, and New York sessions.
Kill Zones — Toggle each ICT Kill Zone independently. Asian KZ is off by default.
Colors — Customize background colors for each session and Kill Zone.
Session High/Low — Toggle H/L lines and labels, set line width, style, and right extension.
Dashboard — Toggle, reposition, and resize the info panel.
Timezone — Select the timezone used for session calculations.
History — Set how many days of past session H/L lines to display (1–30).
█ NOTES
- This indicator does not generate buy or sell signals. It provides session structure and timing context to support your own trading strategy and decision-making.
- Kill Zone times are based on the ICT (Inner Circle Trader) framework. Different educators may define slightly different windows.
- For best results, use on timeframes of 1 hour or lower where session boundaries are clearly visible. Indicator
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Elaris FVG Inversion ProElaris FVG Inversion Pro
Advanced Fair Value Gap & Inversion Mapping System
Elaris FVG Inversion Pro is a professional-grade market structure and imbalance visualization tool designed to help traders identify fair value gaps (FVGs), inversion fair value gaps (IFVGs), and potential reaction zones directly on the chart.
The indicator focuses on price inefficiencies created by aggressive directional movement and highlights areas where price may revisit, react, continue, or reverse.
Instead of displaying excessive noise, the system uses smart filtering logic, mitigation tracking, and optional trend confirmation to provide a cleaner and more structured view of market imbalance behavior.
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Core Features
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• Bullish & Bearish Fair Value Gap Detection
Automatically identifies three-candle imbalance structures in real time.
• Inversion Fair Value Gaps (IFVG)
Detects when previously established imbalance zones transition into potential reversal zones after invalidation.
• Non-Repainting Confirmed Detection
Signals and zones can be confirmed only after candle close to maintain stable historical plotting.
• Smart Gap Filtering
Optional ATR, volume, and EMA trend filters help reduce low-quality or insignificant zones.
• Dynamic Zone Management
Zones automatically extend forward and can be configured to expire or hide after mitigation.
• Mitigation Tracking
Supports multiple mitigation models including:
* Proximal
* Midpoint (50%)
* Distal
• Quality Scoring System
Each zone is evaluated using volatility and structure-based conditions to help prioritize stronger imbalances.
• Dark & Light Mode Compatible
Designed for clean visibility across different PulseWire chart themes.
• Professional Dashboard
Displays active bullish, bearish, and inversion zones along with trend-state information.
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How It Works
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Bullish FVG:
Forms when price leaves an upside imbalance between candles, potentially creating a future demand area.
Bearish FVG:
Forms when price leaves a downside imbalance, potentially acting as future supply.
IFVG:
Occurs when price invalidates an existing FVG and the zone transitions into a potential reversal area.
The indicator can be used for:
* Trend continuation setups
* Pullback entries
* Liquidity-based reactions
* Market structure analysis
* Confluence with support/resistance or liquidity concepts
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Best Practices
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Higher timeframe FVGs generally produce stronger reactions than lower timeframe gaps.
Using the optional EMA and volume filters may help improve signal quality during volatile or choppy market conditions.
For confirmation-based trading approaches, combine FVG reactions with structure breaks, momentum shifts, or liquidity sweeps.
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Notes
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This indicator is intended for technical analysis and educational purposes.
No indicator guarantees future performance, and traders should always apply proper risk management and independent confirmation before making trading decisions.
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Pan Sniper Hybrid V12.7.6 CompleteTitle: Pan Sniper Hybrid V12.8 - Multi-Strategy SMC & Volumetric Signals
Description:
Pan Sniper Hybrid V12.8 is a comprehensive trading tool designed for professional scalpers and day traders. It combines Market Structure Analysis (SMC), Volumetric Delta Analysis, and FX Market Sessions into a single, high-performance indicator.
This script is optimized for lower timeframes (1m, 5m, 15m) to identify high-probability reversal and trend-following setups.
Key Features:
Automatic Market Structure: Real-time labeling of HH, HL, LL, LH to help you identify trend shifts and institutional order flow.
Volumetric Delta Signals: Includes Bull (🐂) and Bear (🐻) signals based on real-time Volume Delta calculations from lower timeframe data.
Shark SFP (Swing Failure Pattern): The Shark (🦈) signal identifies liquidity sweeps at key structural highs and lows—perfect for catching sharp reversals.
AMD Session Boxes: Automatically plots Asia, London, and New York sessions with visual boxes (Accumulation, Manipulation, Distribution) to help you trade session highs and lows.
Dynamic Fibo Zones: Features upper and lower Fibonacci-based bands to identify overextended price levels (Overbought/Oversold).
Gaussian Trend Filter: A smooth trend-following baseline that changes color based on market momentum.
How to use:
For Scalping (1m/5m): Increase the Shark % and Pivot Lookback in settings to filter out minor price noise.
Trend Confirmation: Look for Bull/Bear signals that align with the Gaussian Filter color.
Session Trading: Use the Opening Range (Yellow/Pink lines) as a breakout or mean-reversion boundary during major market opens.
Settings Highlights:
Signal Sensitivity: Fully customizable thresholds for Bull, Bear, and Shark signals to match your risk appetite.
MACD Customization: Adjustable Fast/Slow lengths to fine-tune signal entry timing.
Disclaimer: This indicator is for educational and analytical purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Indicator
Dealing RangeDealing Range (DR) — Session Range Tracker
Automatically maps the full CME session range from 6:00 PM to 4:15 PM New York time, tracking the highest high and lowest low as the session develops in real time. DR.High and DR.Low expand bar by bar and freeze at session close, giving you a clean visual boundary of the day's full price delivery range.
Within that range, the indicator plots the 25%, 50%, and 75% equilibrium levels. The 50% acts as the session's premium/discount divide — price trading above it is in premium, below it is in discount. The 25% and 75% levels mark the first standard reaction zones within each half of the range, useful for anticipating where price may stall, reverse, or accelerate through.
At the open of each new session, the completed range is preserved as the Previous Dealing Range (PDR.High, PDR.Low) with its own set of percentage levels. These static reference lines carry forward as key context for the incoming session — particularly the PDR 50%, which frequently acts as a draw on liquidity or a decision point during the early hours of the new session.
All visual elements are independently configurable. Current DR boundaries, current DR levels, previous DR lines, and labels for both sessions can each be toggled, recolored, resized, and restyled without affecting one another.
Can set to only having one Range active at once, just used both to show both the ranges off, Works the same as the MTF DR just not using individual sessions for Higher time frame analysis.
Enjoy. :) Indicator
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Session Volume Profile - Open Source [CantoLab]Volume Profile is a charting study that displays trading activity over specific time periods at various price levels. It appears as a horizontal histogram on the chart, revealing where traders have shown the most interest based on volume concentration.
This Volume Profile automatically anchors to user-selected timeframes, creating fresh volume analysis for each new period while maintaining clean, systematic visualization of price-volume relationships.
Core Components:
Point of Control (POC): The price level with the highest volume activity during the selected period, marked with a yellow line and left-side label.
Value Area High/Low (VAH/VAL): Price boundaries that contain a specified percentage of the total volume (default 40%), helping identify the main trading range where most activity occurred.
Volume Histogram: Left-aligned bars showing volume distribution across price levels, with value area highlighting for enhanced visual clarity.
Key Features:
- Automatic Period Detection: Supports hourly, daily, weekly, and monthly timeframe anchoring
- Customizable Granularity: Adjustable rows (10-500) for different price resolution needs
- Labels: Clear POC, VAH, and VAL identification positioned at profile start
- Toggle Controls**: Optional display for volume rows, key levels, and background fills
- Clean Visualization: Profiles reset automatically at each new period for current market focus
Display Options:
- Profile Rows: Show/hide the volume histogram bars
- Key Level Lines: Individual controls for POC, VAH, and VAL display
- Value Area Background: Optional shading between VAH and VAL levels
- Color Customization: Separate color controls for all visual elements
The indicator provides systematic volume analysis by creating fresh profiles at regular intervals, helping traders identify significant price levels and volume patterns within their preferred timeframe structure.
Disclaimer: This indicator is for educational and informational purposes only. Trading decisions should be based on comprehensive analysis and proper risk management. Past performance does not guarantee future results. Indicator
Quarterly Theory Cycles [Oracle]WHAT THIS INDICATOR DOES
Quarterly Theory Cycles is a multi-layer time cycle visualisation tool that plots up to 8 nested Quarterly Theory cycles simultaneously — from Nano sessions all the way up to the Quadrennial cycle. Each cycle is divided into its four quarters (Q1 through Q4) and displayed as color-coded boxes, either in a dedicated sub-pane below the chart or directly overlaid on price as clean on-chart boxes that auto-scale to your visible price action.
It is a purely graphical time tool. It shows you exactly where you are within every layer of the Quarterly Theory time structure at a glance, without cluttering your chart with unnecessary drawings or data.
THE CONCEPTS — WHAT EACH ONE IS AND HOW IT IS CALCULATED
Quarterly Theory Time Cycles
Quarterly Theory, as taught by TraderDaye, divides trading time into nested cycles where each cycle is split into four quarters. These quarters represent a repeating sequence:
Q1 — Accumulation. The cycle's range is being established. This phase is required for a cycle to occur.
Q2 — Manipulation. The cycle transitions from accumulation into distribution. The opening price of Q2 is the True Open — a key reference level for premium/discount analysis.
Q3 — Distribution. This is where the main move of the cycle typically occurs.
Q4 — Reversal or Continuation. The cycle either reverses or continues into the next cycle.
This A-M-D-X sequence repeats at every scale of time. The indicator computes cycle boundaries for 8 nested levels, each one being a subdivision of the level above it.
The 8 Cycle Layers
Quadrennial Cycle
The longest cycle, spanning four years. The indicator assigns quadrennial quarters based on the year modulo 4. Each quarter represents one calendar year within a four-year macro cycle.
Yearly Cycle
The year is divided into four quarters of three months each, analogous to financial quarters:
Q1 — January, February, March
Q2 — April, May, June (True Open at April open)
Q3 — July, August, September
Q4 — October, November, December
The indicator detects yearly quarter transitions by checking when the month crosses into a new calendar quarter.
Monthly Cycle
Each month is divided into four weekly quarters. The cycle starts on the first trading week of the month (detected by the Sunday session open), and each subsequent week represents the next quarter. Months with a 5th week produce a Q0 (joker week).
The indicator detects monthly quarter transitions by checking when a new trading week begins at the Sunday session open and tracking how many weeks have elapsed since the month started.
Weekly Cycle
The trading week is divided into four daily quarters. Following Quarterly Theory, Friday and Sunday's small session are excluded from the main cycle:
Q1 — Monday
Q2 — Tuesday (True Open at Tuesday's daily open)
Q3 — Wednesday
Q4 — Thursday
Q0 — Friday
The indicator assigns weekly quarters based on the day of the week relative to the Sunday 18:00 ET session open.
Daily Cycle
The trading day is divided into four 6-hour sessions:
Q1 — 18:00 to 00:00 (Asian session)
Q2 — 00:00 to 06:00 (London session, True Open at midnight NY time)
Q3 — 06:00 to 12:00 (New York AM session)
Q4 — 12:00 to 18:00 (New York PM session)
The indicator calculates daily quarter boundaries using the hour of day relative to the exchange-specific day-start anchor.
90-Minute Cycle
Each daily session quarter (6 hours) contains four 90-minute cycles. The indicator computes these by dividing elapsed time from the day-start anchor into 90-minute intervals and determining which quarter of the interval the current bar falls in.
Micro Cycle
Each 90-minute cycle divides into four quarters of 22.5 minutes each — known as Micro Sessions. The indicator uses millisecond-precision interval arithmetic to compute these boundaries, accounting for the half-minute offset (22 minutes 30 seconds per quarter).
Nano Cycle
The finest resolution — each Micro Session divides into four Nano quarters of approximately 5 minutes 37.5 seconds each. The indicator computes these using sub-minute timestamp arithmetic and is only relevant on sub-minute chart timeframes (15s, 30s, 45s).
Exchange-Specific Day Start
All cycle calculations anchor to the correct trading day start time based on your broker's exchange:
CME / CBOT futures — 17:00 ET
FX brokers (FXCM, OANDA, FOREXCOM) — 18:00 ET
Crypto exchanges (Binance, Kraken, Coinbase, etc.) — 22:00 UTC
This ensures cycle boundaries align correctly regardless of which broker or asset class you are charting.
HOW THE DISPLAY WORKS
Sub-Pane Mode (Default)
The indicator renders in a separate pane below your chart. Each cycle layer occupies its own horizontal lane, stacked vertically — Nano at the top, Quadrennial at the bottom. Each quarter within a cycle is drawn as a coloured box that extends from the quarter's start bar to its end bar.
Box colours correspond to quarters: Q1, Q2, Q3, Q4, and Q0 each have a configurable colour. Each box is labeled with the quarter name. For certain cycles, contextual labels are used instead of generic quarter numbers — for example, the daily cycle shows "Asia," "London," "NY am," and "NY pm," while the weekly cycle shows "Monday" through "Friday."
This gives you a complete, at-a-glance view of where you are within every layer of the time structure simultaneously.
On-Chart Mode
The indicator can also display cycles directly overlaid on your price chart as colored boxes that float above the candles. In this mode, only the chart timeframe's corresponding cycle is shown (e.g., on a 5m chart, the 90-minute cycle is displayed on-chart).
The on-chart boxes automatically scale their vertical position based on your visible price action — they track the highest high and use the average bar range to position themselves cleanly above price without overlapping candles. Quarter divider lines extend vertically through the full price range.
An option to show the previous completed cycle during Q1 keeps the prior cycle's boxes visible at the same height, so you can reference the previous cycle's quarter structure while the new cycle is just beginning.
On-chart mode can be used alongside the sub-pane, or exclusively by enabling "Only" mode which hides the sub-pane entirely.
Automatic Layer Selection
By default, the indicator automatically determines which cycle layers to display based on your chart timeframe. You configure how many layers you want visible (1 to 8), and the indicator selects the appropriate layers ascending from your chart's native cycle level.
For example, on a 5m chart with 3 layers, you see the 90-minute, daily, and weekly cycles. On a 15m chart with 3 layers, you see the daily, weekly, and monthly cycles. This keeps the display relevant without manual configuration.
Alternatively, manual mode lets you toggle each of the 8 cycle layers independently regardless of your chart timeframe.
HOW THE CONCEPTS WORK TOGETHER
The nested cycle structure is not 8 independent timers running in parallel — they are a single fractal hierarchy where each level is a subdivision of the one above it:
The quadrennial cycle provides the macro context. Where you are in the 4-year cycle influences yearly bias — Q1 years tend to accumulate, Q3 years tend to distribute.
The yearly cycle narrows to the current quarter. Within the macro context, you know whether the year is in accumulation (Jan-Mar), manipulation (Apr-Jun), distribution (Jul-Sep), or reversal (Oct-Dec).
The monthly cycle positions you within the month. Week 1 is accumulation, week 2 begins distribution from the True Monthly Open.
The weekly cycle positions you within the week. Monday accumulates, Tuesday begins manipulation from the True Weekly Open, Wednesday distributes, Thursday reverses.
The daily cycle positions you within the session. Asia accumulates, London manipulates from the True Daily Open (midnight), NY AM distributes, NY PM reverses.
90-minute, micro, and nano cycles provide execution timing. Within the broader directional context set by the higher cycles, these lower cycles tell you exactly when within a session the accumulation, manipulation, distribution, and reversal phases occur at the finest resolution.
Seeing all of these layers simultaneously lets you identify when multiple cycles are in the same phase — for example, when the weekly Q3 (distribution), daily Q3 (NY AM distribution), and 90-minute Q3 (distribution within the session) all align, you know you are in a high-probability distribution window across the entire time fractal.
WHY USE THIS INDICATOR
Several Quarterly Theory cycle indicators exist on PulseWire. Here is what makes this one different:
On-chart cycle display. Most QT cycle tools only render in a separate sub-pane. This indicator can overlay cycles directly on your price chart as auto-scaling boxes that float cleanly above candles, giving you the cleanest possible view of where you are in the cycle without splitting your attention between panes. The previous-cycle carry-over during Q1 is a unique touch that no other cycle indicator offers.
8 nested layers computed simultaneously. From Nano (5.6 minutes) to Quadrennial (4 years), every layer is calculated and available. Most cycle tools cover 4 to 6 levels at most.
Contextual quarter labels. Instead of generic Q1/Q2/Q3/Q4 everywhere, the indicator displays session names (Asia, London, NY AM, NY PM), day names (Monday through Friday), and week numbers where appropriate, making it immediately readable.
Automatic layer selection. Choose how many layers you want and the indicator picks the right ones for your timeframe. No manual configuration needed unless you want it.
Full exchange support. Day-start anchors automatically adjust for futures, FX, and crypto exchanges, ensuring cycle boundaries are correct regardless of your broker.
If you are a Quarterly Theory trader, this is the simplest and cleanest way to always know exactly where you are in every layer of the time structure.
HOW TO USE IT
Add the indicator to your chart. It immediately displays the appropriate cycle layers for your timeframe in the sub-pane.
Each coloured box represents one quarter of a cycle. Use the default colors or customize Q1/Q2/Q3/Q4/Q0 colours to your preference.
Read the labels inside each box to know which quarter and session you are in.
Enable on-chart mode to overlay cycles directly on your price chart for a cleaner workflow.
Adjust the number of layers (1 to 8) to control how much time structure you see — fewer layers for simplicity, more for complete fractal context.
Use manual mode if you want to toggle specific cycle levels independently.
Combine with other Quarterly Theory tools — use the cycle display to know when you are in a Q2 manipulation or Q3 distribution phase, then look for SSMTs, PSPs, or tCISDs within that context.
SETTINGS OVERVIEW
Cycles — Manual/auto mode toggle, number of layers to show (1-8), individual cycle toggles for manual mode
On-Chart — On-chart overlay toggle, exclusive on-chart mode, previous cycle visibility during Q1
Colours — Q1/Q2/Q3/Q4/Q0 box colours, text colour, divider line colour/width/style
SUPPORTED TIMEFRAMES
15s / 30s / 45s — Nano + Micro cycles and above
1m / 3m — Micro cycles and above
5m — 90-minute cycles and above
15m — Daily cycles and above
1H / 90m — Weekly cycles and above
4H / 6H — Monthly cycles and above
1D — Yearly cycles and above
1W — Quadrennial cycle
1M — Quadrennial cycle
INDICATOR SETTINGS/FILTERS
Here is an inside look of how the Quarterly Theory Cycles looks:
DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice. Trading involves substantial risk of loss. Always use proper risk management and conduct your own analysis.
CREDITS
Developed by Danielliuks (z3nius) and bucko. Conceptual framework based on ICT (Michael Huddleston) and Quarterly Theory as taught by TraderDaye. Indicator
Liquidity Intelligence Entry SystemLiquidity Intelligence System
Liquidity Intelligence System is a liquidity-based market analysis framework designed around one central idea:
market movement is often shaped by liquidity pools, stop sweeps, directional bias, displacement, volatility conditions, and the quality of confluence around a signal.
This script is not designed to mark every candle, every swing, or every possible reversal. It is not intended to behave like a simple buy/sell indicator that reacts to one isolated condition. Its purpose is to detect structured liquidity events, compare multiple confluence models in the background, classify the current market regime, display signal quality, and project a visual risk/reward framework directly on the chart.
The script combines liquidity sweep detection, trend confirmation, FVG presence, volume expansion, RSI extremes, displacement behavior, market regime logic, adaptive preset modes, TP1/TP2/TP3 projection, visual liquidity mapping, and a model-performance dashboard into one organized workflow.
The goal is to help users review liquidity-based signals in a more structured way, not to promise future performance or replace independent analysis.
🔓 PUBLICATION NOTE
This script is published to provide a structured liquidity-analysis workflow.
The description is intentionally detailed because many users do not inspect every part of the Pine Script logic line by line. The purpose of this page is to explain what the script does, how its components connect, why the system is organized this way, and what limitations should be understood before using it.
The script should be treated as a decision-support and research tool. It is not financial advice, it is not an automated trading system, and it does not guarantee profitable results.
📌 OVERVIEW
At a high level, Liquidity Intelligence System does several things:
1. It detects liquidity sweep conditions around recent swing highs and swing lows.
2. It identifies buy-side liquidity and sell-side liquidity areas.
3. It can mark Equal High and Equal Low liquidity pools.
4. It changes swept liquidity levels visually once price takes them.
5. It evaluates 16 different liquidity/confluence signal models in the background.
6. It allows the user to manually choose which model should be active on the chart.
7. It prevents repeated same-direction signals from stacking unnecessarily.
8. It calculates virtual trade outcomes for each model.
9. It displays model statistics such as Trades, Win Rate, Profit Factor, Average R, and Net R.
10. It identifies the current best-performing model according to a selected metric.
11. It detects the current market regime using trend, ADX-style directional movement, ATR behavior, and candle body conditions.
12. It gives the most recent signal a Signal Quality score.
13. It displays a Signal Quality panel with a visual score bar.
14. It projects Entry, TP1, TP2, TP3, and SL levels on the chart.
15. It draws soft reward and risk zones around the active signal.
16. It provides theme modes for different chart styles.
17. It includes dynamic alert messages with signal, model, quality, regime, entry, TP, SL, and performance details.
The script is therefore not a single-purpose liquidity sweep marker. It is a multi-model liquidity intelligence and signal-review framework.
🧠 CORE IDEA
The core idea of the script is that a liquidity sweep by itself is only one part of the story.
A market may sweep a previous high or low, but that does not automatically mean the move is actionable. A sweep can lead to reversal, continuation, expansion, or false movement depending on the broader context.
For that reason, Liquidity Intelligence System does not rely on one condition alone.
Instead, it builds a layered model around the following question:
When liquidity is taken, what other evidence exists around that event?
The system can evaluate liquidity events together with:
- trend direction,
- recent FVG behavior,
- volume expansion,
- RSI extreme positioning,
- displacement strength,
- current market regime,
- and model-specific confluence.
This allows the script to compare different interpretations of the same market environment.
For example, one user may prefer simple liquidity sweeps, while another may prefer liquidity sweeps only when FVG and trend alignment are also present. The script does not force one fixed interpretation. It allows multiple models to run in the background while the user selects the model they want to display.
🧩 WHY THIS SCRIPT IS NOT A SIMPLE MASHUP
This script combines several concepts that are familiar in technical analysis and liquidity-based trading:
- swing highs and swing lows,
- liquidity sweeps,
- equal highs and equal lows,
- FVG-style imbalance logic,
- trend filters,
- volume filters,
- RSI conditions,
- displacement candles,
- ATR-based risk projection,
- dashboard statistics,
- alert messages.
These individual concepts are not unique by themselves.
The main purpose of this script is the way these elements are organized into one structured liquidity workflow:
Liquidity map
→ sweep detection
→ confluence model selection
→ market regime classification
→ signal quality scoring
→ TP1/TP2/TP3 projection
→ model-performance dashboard
→ dynamic alert system
Each part has a specific role.
- The liquidity map shows where price may be interacting with stop pools.
- The sweep engine defines the base signal event.
- The confluence models decide which extra filters should be required.
- The regime engine gives context about the current environment.
- The quality panel summarizes the last signal.
- The dashboard compares the performance of different models.
- The TP/SL projection gives a visual review structure.
- The alert system allows monitoring without constantly watching the chart.
For that reason, the script is intended as one complete liquidity-intelligence framework, not as a random collection of unrelated tools.
💧 WHAT THE SCRIPT DOES
The script begins by detecting swing-based liquidity references.
It uses recent pivot highs and pivot lows to define potential buy-side and sell-side liquidity levels.
Then it can classify and draw:
- BSL: Buy-Side Liquidity
- SSL: Sell-Side Liquidity
- EQH: Equal High liquidity
- EQL: Equal Low liquidity
When price later trades through one of these mapped levels, the script can visually mark that level as swept. This makes the liquidity map more informative because old untouched levels and swept levels are no longer displayed the same way.
After the liquidity engine identifies sweep conditions, the script evaluates whether the sweep qualifies under one of the available model combinations.
Those models are tested in the background, while the user chooses which one should be active on the chart.
The active model controls the visible LONG / SHORT labels and the projected Entry / TP / SL structure.
⚙️ HOW THE SCRIPT WORKS
1) LIQUIDITY SWEEP ENGINE
The script uses swing pivots to identify important recent highs and lows.
A buy-side sweep occurs when price moves above a previous swing high and then closes back below that swing high.
A sell-side sweep occurs when price moves below a previous swing low and then closes back above that swing low.
The script also checks sweep depth and wick rejection. This helps avoid treating every small break of a level as an equally meaningful sweep.
The sweep engine uses:
- swing pivot length,
- maximum sweep depth measured with ATR,
- rejection wick ratio,
- current candle structure,
- and the most recent mapped swing levels.
This base liquidity engine creates the foundation for all model combinations.
2) BSL / SSL LIQUIDITY MAP
The script can draw liquidity levels directly on the price chart.
The map may include:
- BSL above swing highs,
- SSL below swing lows,
- EQH when similar highs form near each other,
- EQL when similar lows form near each other.
The liquidity map is designed to be selective rather than excessive.
A quality mode controls how many levels are displayed:
- Balanced: more levels,
- Conservative: cleaner default view,
- Strict: fewer but more selective levels.
The script also limits the maximum number of active liquidity lines so the chart does not become overloaded.
3) SWEPT LIQUIDITY VISUAL STATE
When price reaches a mapped liquidity level, the script can mark that line as swept.
A swept liquidity line changes visually:
- the line becomes grey,
- the style changes,
- the label changes to SWEPT.
This makes it easier to distinguish active liquidity pools from liquidity that has already been taken.
This visual behavior is important because liquidity levels are not static forever. Once price has interacted with a level, its meaning may change.
4) EQUAL HIGH / EQUAL LOW LOGIC
The script can detect similar high or low points using an ATR-based tolerance.
Equal highs can represent a potential buy-side liquidity pool.
Equal lows can represent a potential sell-side liquidity pool.
Because instruments have different volatility, the tolerance is not fixed in raw price terms. It is scaled with ATR.
This makes the EQH / EQL logic more adaptive across different markets and timeframes.
🧠 16 MODEL SYSTEM
The script includes 16 model combinations.
These models are evaluated in the background:
1. LQ
2. LQ + Trend
3. LQ + FVG
4. LQ + Volume
5. LQ + RSI
6. LQ + Displacement
7. LQ + Trend + FVG
8. LQ + Trend + Volume
9. LQ + Trend + RSI
10. LQ + Trend + Displacement
11. LQ + FVG + Volume
12. LQ + FVG + RSI
13. LQ + FVG + Displacement
14. LQ + Volume + RSI
15. LQ + Trend + FVG + Volume
16. LQ + Trend + FVG + Volume + RSI + Displacement
The user can choose one active model from the settings.
The active model is the one that controls the visible chart signals.
The other models still run in the background for dashboard comparison.
This is one of the main ideas of the script: the user does not have to guess which confluence combination is currently performing better. The dashboard can compare the models over the visible historical calculation period.
📈 TREND COMPONENT
The trend component compares a fast EMA and a slow EMA.
If the fast EMA is above the slow EMA, the script treats the trend condition as bullish.
If the fast EMA is below the slow EMA, the script treats the trend condition as bearish.
This does not mean the EMA lines have to be plotted on the chart. They can work silently as internal filters.
When a model uses Trend, the liquidity signal must align with the EMA-based directional condition.
🟩 FVG COMPONENT
The FVG component checks for recent imbalance-style behavior.
The script identifies bullish and bearish FVG-style conditions and then checks whether such a condition has occurred within a recent lookback window.
This allows models such as:
- LQ + FVG,
- LQ + Trend + FVG,
- LQ + FVG + Volume,
- LQ + FVG + Displacement,
to require liquidity behavior together with recent imbalance context.
The FVG logic in this version is used as a filter and confluence component. It is not presented as a full FVG box-management system.
🔊 VOLUME COMPONENT
The volume component compares current volume against a volume moving average.
When current volume exceeds the selected volume average by the chosen multiplier, the script treats it as a volume expansion condition.
This can help models focus on sweeps that occur with stronger activity.
Volume is not used as proof of future direction. It is used as one additional context layer.
📉 RSI COMPONENT
The RSI component allows the script to include oscillator conditions in selected models.
For long models, RSI can be required to be near or below a selected lower threshold.
For short models, RSI can be required to be near or above a selected upper threshold.
This allows RSI to function as a contextual filter around liquidity events rather than as a standalone signal generator.
⚡ DISPLACEMENT COMPONENT
The displacement component checks whether the signal candle has enough body strength relative to ATR and total candle range.
A bullish displacement condition requires:
- bullish candle body,
- minimum body size relative to ATR,
- minimum body ratio inside the candle range.
A bearish displacement condition uses the opposite candle direction.
This helps identify signals where the sweep is followed by stronger directional candle behavior.
🧠 MARKET REGIME DETECTION
The script includes a market regime engine.
It classifies the current environment into states such as:
- Trend Up
- Trend Down
- Range
- Choppy
- High Vol
- Low Vol
- Neutral
The regime engine uses:
- directional movement logic,
- ADX-style trend strength,
- EMA trend direction,
- ATR compared to its average,
- candle body ratio behavior.
The purpose of this engine is to provide context.
A liquidity sweep in a trending market is not the same as a liquidity sweep in a range.
A signal during choppy conditions may require more caution than a signal during clean directional expansion.
The regime output is also used in the Signal Quality framework.
⭐ SIGNAL QUALITY SCORE
The Signal Quality score is a 0–100 style scoring framework.
The score is designed to summarize the most recent signal’s contextual quality.
It can consider:
- whether the signal is a valid liquidity event,
- whether the selected model’s trend condition is satisfied,
- whether the selected model’s FVG condition is satisfied,
- whether the selected model’s volume condition is satisfied,
- whether the selected model’s RSI condition is satisfied,
- whether the selected model’s displacement condition is satisfied,
- whether the market regime supports or conflicts with the signal direction.
The important detail is that the score is connected to the active model.
For example:
If the active model is LQ + FVG, FVG matters more directly.
If the active model is LQ + Volume, volume matters more directly.
If the active model is LQ + Trend + FVG + Volume, all of those conditions become part of the model-specific score.
This helps avoid a generic score that ignores the selected model’s logic.
📊 SIGNAL QUALITY PANEL
The Signal Quality panel displays a compact summary of the last signal.
It can show:
- current regime,
- market bias,
- last signal side,
- active model,
- signal score,
- mini score bar,
- alignment state.
The score bar is included to make the quality reading easier to review visually.
Example format:
Score: 78/100
Bar: ████████░░
This panel is not intended to guarantee that a signal will work. It simply summarizes how much contextual evidence was present when the signal appeared.
📊 MODEL DASHBOARD
The main dashboard compares the 16 models.
It includes:
- Trades
- WR
- PF
- Avg R
- Net R
- Active model row
- Best system row
The dashboard is meant for internal review.
It does not represent broker-executed trades. It is a virtual model-testing layer based on the script’s signal and TP/SL rules.
The dashboard helps the user compare whether one model is currently producing cleaner historical behavior than another, but it should not be interpreted as a guarantee that the same behavior will continue.
🏆 BEST SYSTEM ROW
The script can identify a Best System based on the selected metric.
The user can choose the best-system metric from:
- Net R
- Profit Factor
- Average R
- Win Rate
The system also uses a minimum trade count before a model can qualify for the Best row.
This is important because a model with only one or two trades can look misleading. The minimum trade threshold helps reduce the chance of highlighting a model with too little sample size.
🎛️ PRESET MODES
The script includes preset modes.
Available presets:
- Manual
- Scalping
- Intraday
- Swing
- Conservative
- Aggressive
- Funded Account Safe
The default preset is Intraday.
Preset modes do not simply change the name of the setting. They adjust internal effective values such as:
- TP / SL behavior,
- maximum bars in trade,
- sweep depth sensitivity,
- rejection requirement,
- FVG recency,
- volume multiplier,
- displacement requirements.
Manual mode allows the user to control the underlying settings directly.
Presets are included to make the script easier to adapt to different trading styles without requiring every setting to be adjusted one by one.
🎨 THEME SYSTEM
The script includes three visual themes:
Emerald Dark
A dark premium style using green and teal accents.
Crimson Pro
A more aggressive dark theme using red and high-contrast signal colors.
Ice Minimal
A cleaner light-style theme with black text and softer blue/grey visual structure.
The theme affects visual elements such as:
- dashboard colors,
- selected model row,
- best-system row,
- TP/SL/Entry line colors,
- TP/SL/Entry labels,
- reward and risk boxes.
The purpose is to make the same system usable across different chart backgrounds and visual preferences.
🎯 ACTIVE TRADE PROJECTION
When the active model produces a new signal, the script can project a visual trade framework.
The chart may display:
- Entry line
- TP1 line
- TP2 line
- TP3 line
- SL line
- reward zone
- risk zone
- price labels next to each level
The projected levels are based on risk multiples.
Default structure:
- TP1 = 1R
- TP2 = 2R
- TP3 = 3R
- SL = 1R risk
The user can adjust TP1, TP2, and TP3 R multiples from settings.
The projected structure is designed for review and visualization. It should not be treated as an instruction to enter a live trade without additional analysis and risk management.
🟢 TP / SL BACKTEST LOGIC
The script’s virtual testing engine is aligned with the TP1 / TP2 / TP3 structure.
If TP3 is reached, the virtual result is recorded using the selected TP3 R multiple.
If SL is reached, the result is recorded as -1R.
If the trade expires before TP3 or SL, the script can use the highest reached TP level or the open R result depending on what happened.
This creates a more consistent link between what appears visually on the chart and what the dashboard is evaluating.
Same-bar TP/SL behavior is handled by a conservative option. If both TP and SL appear to be hit during the same candle, the user can choose to count that situation conservatively.
🔁 NO CONSECUTIVE SAME-DIRECTION SIGNALS
The script includes a same-direction signal filter.
If a model produces a long signal, it will not keep printing long signals repeatedly until an opposite short signal occurs.
Likewise, if a model produces a short signal, it will not keep printing short signals repeatedly until an opposite long signal occurs.
This helps reduce repeated label clutter and makes the signal stream easier to review.
🚨 PRO ALERT SYSTEM
The script includes dynamic alert messages.
The alert message can include:
- signal side,
- active model,
- preset mode,
- quality score,
- market regime,
- alignment,
- entry price,
- TP1,
- TP2,
- TP3,
- SL,
- active model WR,
- active model PF,
- active model Avg R,
- active model Net R.
The script supports Text and JSON-style alert formats.
Important usage note:
To use the full dynamic Pro Alert message, create the PulseWire alert with:
Condition: Liquidity Intelligence System
Option: Any alert() function call
The regular alertcondition messages are fallback static alerts.
🧭 WHAT APPEARS ON THE CHART
Depending on settings, the script may display:
- LONG / SHORT labels,
- BSL liquidity lines,
- SSL liquidity lines,
- EQH liquidity lines,
- EQL liquidity lines,
- SWEPT liquidity labels,
- Entry line,
- TP1 line,
- TP2 line,
- TP3 line,
- SL line,
- reward area box,
- risk area box,
- price labels beside Entry / TP / SL,
- main model dashboard,
- Signal Quality dashboard.
This design is intentional.
The chart shows liquidity structure, active model signals, projected risk/reward, and review statistics in one organized view.
🧪 HOW TO USE THE SCRIPT
A practical workflow:
1. Add the script to your chart.
2. Start with the default Intraday preset.
3. Choose a theme that fits your chart background.
4. Select the active model you want to display.
5. Review the liquidity map: BSL, SSL, EQH, and EQL.
6. Wait for a liquidity sweep signal from the active model.
7. Check the Signal Quality panel.
8. Check the market regime and alignment state.
9. Review the Entry / TP1 / TP2 / TP3 / SL projection.
10. Compare the active model to the other models in the dashboard.
11. Use alerts if you want to monitor signals automatically.
12. Validate settings across the specific instruments and timeframes you actually trade.
The script is best used as a structured review framework, not as a blind execution system.
⚙️ SETTINGS REFERENCE
Manual Model Selection
- Active Signal Model: selects which of the 16 models appears on the chart.
- Preset Mode: selects the effective behavior profile.
- Show Active Model Labels: enables/disables signal labels.
- Signal Label Style: controls how much information appears in signal labels.
- LONG / SHORT Label Size: controls signal label size.
Virtual Trade Test
- ATR Length: ATR basis for risk calculations.
- Virtual TP ATR Multiplier: used in manual/preset logic where applicable.
- Virtual SL ATR Multiplier: used to define risk distance.
- TP1 R Multiple: first target multiple.
- TP2 R Multiple: second target multiple.
- TP3 R Multiple: third target multiple.
- Max Bars In Virtual Trade: maximum duration of virtual trade.
- If TP and SL Hit Same Candle, Count As Loss: conservative same-bar handling.
Liquidity Sweep
- Swing Pivot Length: pivot sensitivity.
- Max Sweep Depth ATR: maximum allowed sweep depth.
- Minimum Rejection Wick Ratio: wick rejection requirement.
- Show BSL / SSL Liquidity Lines: enables liquidity map.
- Show Equal High / Equal Low Lines: enables EQH/EQL.
- Liquidity Line Limit: maximum active liquidity lines.
- Liquidity Map Quality: controls how selective the liquidity map is.
- Equal High / Low Tolerance ATR: ATR-scaled equality tolerance.
Confirmation Filters
- Fast EMA Length: trend filter fast EMA.
- Slow EMA Length: trend filter slow EMA.
- EMA Source: source used for EMA calculations.
- Minimum FVG Size ATR: minimum FVG size filter.
- FVG Recent Bars: how recently FVG must have appeared.
- Volume SMA Length: volume baseline.
- Volume Spike Multiplier: volume expansion threshold.
- RSI Length: RSI calculation length.
- RSI Long Threshold: RSI condition for long models.
- RSI Short Threshold: RSI condition for short models.
- Minimum Displacement Body ATR: minimum displacement body size.
- Minimum Displacement Body Ratio: minimum body-to-range ratio.
Market Regime & Quality
- Show Signal Quality Table: enables/disables quality panel.
- Regime ADX Length: directional movement calculation length.
- Trend ADX Threshold: trend-strength threshold.
- Range ADX Threshold: range-condition threshold.
- Regime ATR Average Length: ATR baseline for volatility regime.
- High Volatility ATR Multiplier: high-volatility threshold.
- Low Volatility ATR Multiplier: low-volatility threshold.
- Choppy Body Ratio Threshold: body-ratio condition for choppy regimes.
Dashboard & Visuals
- Show Model Dashboard: enables/disables model comparison dashboard.
- Theme: selects Emerald Dark, Crimson Pro, or Ice Minimal.
- Dashboard Size: controls dashboard text size.
- BEST System Metric: selects best-system ranking logic.
- Minimum Trades For BEST Row: minimum sample size for best-system qualification.
Pro Alerts
- Enable Pro Alert Message: enables dynamic alert messages.
- Alert Message Format: selects Text or JSON-style format.
🧠 WHAT MAKES THIS SCRIPT ORIGINAL
This script uses familiar components such as swing highs/lows, EMA trend filters, volume comparison, RSI thresholds, ATR, and dashboard statistics.
Those components are not original by themselves.
The originality of this script lies in how those components are organized into a single liquidity-intelligence workflow:
Liquidity map
→ sweep detection
→ 16 model comparison
→ market regime classification
→ model-specific quality scoring
→ TP1/TP2/TP3 projection
→ dashboard review
→ dynamic alert output
This structure allows the script to function as a complete liquidity review environment rather than a simple signal marker.
⚠️ IMPORTANT PRACTICAL NOTES
The script’s behavior depends heavily on settings.
Signal frequency and signal quality may change based on:
- selected active model,
- preset mode,
- pivot length,
- sweep depth,
- rejection requirement,
- FVG recency,
- volume threshold,
- RSI thresholds,
- displacement settings,
- volatility conditions,
- symbol,
- timeframe.
A model that looks cleaner on one instrument may not behave the same way on another.
The dashboard is a virtual review layer. It is useful for comparing model behavior, but it should not be treated as proof of future results.
⚠️ LIMITATIONS AND SHORTCOMINGS
This script has important limitations:
- It does not guarantee profitable signals.
- It does not know future price movement.
- It does not replace risk management.
- It does not execute trades.
- It does not include broker slippage, commissions, spreads, or order-fill uncertainty.
- It uses chart data and bar-based logic.
- Same-bar TP/SL ambiguity is handled by a rule, not by true intrabar reconstruction.
- Liquidity sweeps can fail.
- FVG, trend, volume, RSI, and displacement filters can still produce false signals.
- The dashboard is historical and virtual, not a live brokerage performance report.
- Market regime classification is an analytical approximation, not an absolute truth.
- No confluence model removes all risk or uncertainty.
For these reasons, the script should be used as a structured analysis and review tool, not as a standalone trading system.
👤 WHO THIS SCRIPT MAY BE USEFUL FOR
This script may be useful for traders who:
- study liquidity sweeps,
- use smart-money-style market structure concepts,
- want BSL / SSL / EQH / EQL mapping,
- want multiple confluence models in one tool,
- want a visual TP1 / TP2 / TP3 framework,
- want a signal quality panel,
- want market regime context,
- want model comparison statistics,
- prefer organized chart-based review.
It may be less suitable for users who:
- want a fully automated trading system,
- want guaranteed buy/sell signals,
- do not use liquidity concepts,
- do not want dashboard-based review,
- prefer very minimal charts with no overlays,
- expect one model to work the same way on every market and timeframe.
🛡️ DISCLAIMER
This script is provided for educational and informational purposes only.
It does not constitute financial, investment, or trading advice.
No indicator can guarantee future results. Market conditions change, historical behavior does not ensure future behavior, and every user is responsible for their own analysis, validation, position sizing, and risk management.
Use this script as a structured decision-support and review framework, not as a promise of profitability.
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