MBZ Model (Simplified Version) [NINE Θ]Overview
The MBZ Model Simplified is an advanced indicator designed to identify reversal zones through the detection of Median Body Zones (MBZs), Inversion Fair Value Gaps (IFVGs), and SMT Divergences. This indicator combines multiple trading concepts into a unified, streamlined tool for precision entries.
The core premise is simple: when price sweeps liquidity and immediately reverses with conviction, it creates a "Median Body Zone", an area where smart money has likely accumulated or distributed positions. These zones often act as powerful support/resistance levels for future price action.
Key Features
Liquidity Level MBZs — Detects reversal zones formed after liquidity sweeps at swing highs/lows
Type 4 (T4) MBZs — Identifies MBZs formed through Fair Value Gap inversions
Inversion Fair Value Gaps (IFVGs) — Tracks FVGs that flip polarity with directional alignment
Market Structure Levels — Displays minor and major buyside/sellside liquidity levels
SMT Divergences — Multi-symbol divergence detection tied to MBZ formations
HTF Open Levels — Power of Three (PO3) analysis with auto-timeframe pairing
Session Filters — Time-based filtering for precise setup validation
Smart Alerts — Forming and validated alerts for all MBZ types
Components Explained
1. Liquidity Level MBZs
Liquidity MBZs form when price:
Sweeps a swing high or swing low (taking liquidity)
Shows immediate rejection with a directional candle
Closes back through the body midpoint of the sweep candle
Bullish MBZ: Forms after a low sweep → Price reverses up aggressively
Bearish MBZ: Forms after a high sweep → Price reverses down aggressively
The zone is drawn from the sweep extreme to the close of the confirmation candle, creating a potential re-entry area if price returns.
Settings Include:
Direction filter (Both/Bullish/Bearish)
Display options (Box/Levels/Both/Close Level)
Zone transparency and colors
25/75% internal levels
Midline display
Historical display count (prioritizes zones closest to price)
PO3 Open alignment filter
2. Type 4 (T4) MBZs
T4 MBZs are a more refined entry model that combines Fair Value Gap analysis with reversal confirmation:
A Fair Value Gap forms in the market
Price returns to tap the FVG
A two-candle reversal pattern confirms the reaction
This creates a tighter, more precise zone compared to standard Liquidity MBZs.
Additional T4 Features:
Lookback period for FVG detection
Consolidation filter (prevents clustering of T4s within X bars)
Optional requirement for Liquidity MBZ directional alignment
Independent historical display settings
3. Inversion Fair Value Gaps (IFVGs)
IFVGs occur when a Fair Value Gap is violated (price closes through it), flipping its polarity:
A bullish FVG that gets closed below becomes a bearish IFVG
A bearish FVG that gets closed above becomes a bullish IFVG
Directional Alignment Feature:
When enabled (default), IFVGs only form when aligned with the current MBZ direction. This creates a cycle:
MBZ forms → Sets directional bias
IFVGs can now form in that direction
Reference MBZ invalidated - IFVG cycle stops
Waits for new MBZ to establish fresh direction
This prevents counter-trend IFVGs from cluttering your chart.
Settings Include:
Classic (box) or Line display style
Lookback filter for source FVGs
Cluster filter (cooldown between IFVGs)
Volume Imbalance inclusion option
Direction filter
MBZ directional alignment toggle
4. Market Structure Levels
Automatically detects and displays swing structure using a multi-timeframe swing detection algorithm:
Minor Levels: Intermediate-term swing highs and lows
Major Levels: Long-term swing highs and lows
Levels extend until filled (price trades through them) and can be customized with various label styles, colors, and display modes.
5. SMT Divergences
Smart Money Technique (SMT) Divergences detect when correlated instruments make divergent swing highs or lows — a potential sign of manipulation or reversal.
Auto-Detection Pairs:
Index Futures: NQ ↔ ES ↔ YM ↔ RTY
Metals: GC ↔ SI ↔ PL
Energy: CL ↔ RB ↔ NG
Key Feature: SMT lines only appear when there's a nearby MBZ in the corresponding direction, filtering out noise and highlighting only the most relevant divergences.
6. HTF Open Levels (PO3)
Displays higher timeframe open prices for Power of Three analysis:
Auto Timeframe Pairing: Automatically selects optimal HTF based on your chart
Vertical session markers: Shows HTF candle boundaries
Open level lines: Track where the HTF candle opened
Auto Pairing Logic:
Sub-1min → 5min
1-2min → 15min
3-4min → 1H
5-9min → 4H
10-59min → Daily
1-4H → Weekly
Daily → Monthly
7. Session Filters
Filter setups to only appear during specific trading sessions:
Two customizable session windows
Timezone selection (NY, Chicago, LA, London, Paris, Tokyo, Shanghai, Sydney)
Only applies on timeframes ≤ 1 hour
Perfect for traders who only trade specific killzones (London Open, NY AM, etc.)
8. PO3 Open Filters
Both Liquidity MBZs and T4 MBZs have optional PO3 alignment filters:
Aligned: Bullish MBZs below HTF open, Bearish above
Reversed: Bullish MBZs above HTF open, Bearish below
Both: No filtering
This helps align entries with the anticipated Power of Three expansion direction.
How to Use It
Basic Workflow:
Identify Bias: Look for a fresh MBZ (Liquidity or T4) to establish direction
Wait for Retest: Price often returns to test MBZ zones
Confirm with IFVGs: IFVGs forming in the same direction add confluence
Check SMT: SMT divergence near an MBZ increases probability
Enter at Zone: Look for lower timeframe confirmation at MBZ levels
Zone Levels:
Close Level: The confirmation candle's close — often the most reactive level
Midline (50%): Equilibrium of the zone
25%/75% Levels: Internal zone levels for precision entries
Invalidation:
Bullish MBZ invalidates on close below zone bottom
Bearish MBZ invalidates on close above zone top
Use "Delete Invalidated" setting to auto-remove or keep for reference
Alerts
The indicator includes comprehensive alerts:
MBZ Forming: Triggers when pattern is developing (before candle close)
MBZ Validated: Triggers when pattern confirms (after candle close)
Separate toggles for Liquidity MBZs and T4 MBZs
Alert messages include symbol and timeframe for easy identification.
Disclaimer
This indicator is a tool for analysis, not a trading system. Always:
Use proper risk management
Combine with your own analysis
Backtest before live trading
Understand that no indicator guarantees profits
Past performance does not indicate future results. Trade responsibly.
在脚本中搜索"liquidity"
Options Fusion Core - Lite v6Options Fusion Core – Lite v6
A dual-engine oscillator designed to provide clear, confidence-driven market reads. OFC – Lite v6 combines two high-signal components into a single 0–100 panel to help traders interpret momentum strength and liquidity flow at a glance.
Core Components
Momentum Engine (Solid Line)
Above 50: Bullish bias (green shades)
Below 50: Bearish bias (red shades)
Near 20 or 80: Potential exhaustion zones where trends may pause or reverse
Liquidity Gauge (Dotted Line)
Above 55: Strong buying pressure
Below 45: Selling pressure
Around 50: Neutral flow
How to Use (Educational Purpose Only)
Alignment Signals: Watch for Momentum Engine and Liquidity Gauge moving in the same direction.
Example: Momentum >50 and Liquidity >55 → constructive environment
Example: Momentum <50 and Liquidity <45 → weakening conditions
Extremes: Momentum near 20 or 80 indicates potential trend exhaustion. Paired with strong Liquidity changes, these zones may highlight possible reversals or pauses.
Neutral Line (50): Many false moves occur around 50. Wait for a clear break above or below before interpreting as a signal.
Use in Context: Combine with price action, volume, or other indicators for confirmation.
User Inputs
Fast Momentum Length — controls how quickly Momentum reacts
VFI Length — smooths the Liquidity Gauge
VFI Cutoff — adjusts sensitivity to flow spikes
Lite Version:
Oscillator panel only
No automated signals or multi-ticker table
Educational and visualization purposes only
Important Notice
This script is educational and informational only. Not trading, financial, or investment advice.
Calculations are proprietary and protected to safeguard intellectual property.
No repainting; all results reflect real-time calculation.
Global Liquidity Index LITEGlobal Liquidity Index (GLI LITE) is an indicator that measures global liquidity by combining the balance sheets of major central banks (FED, ECB, PBOC, BOJ) and the M2 money supply of the world’s largest economies (USA, Europe, China, Japan).
Since liquidity directly influences the price of risk assets (BTC, NASDAQ, SPX, etc.), GLI is one of the most important macro signals for identifying market bull/bear regimes.
What the indicator shows:
GLI momentum line (green = liquidity expansion, orange = contraction)
Fast & Slow MA lines that define the liquidity trend
Bull/Bear background coloring
Green → global liquidity is expanding
Red → liquidity is tightening
Correlation between GLI and the asset price (e.g., BTC)
Macro trend panel (Bull / Bear / Neutral)
How to use the indicator:
Bull regime (Fast MA > Slow MA)
Liquidity is expanding and the market has a natural tailwind. Risk assets tend to perform better.
Bear regime (Fast MA < Slow MA)
Liquidity is tightening — higher risk, increased volatility, and more downside pressure.
GLI ↔ Price Correlation
If correlation is high (e.g., > 0.6), GLI can be an excellent leading indicator for price movement.
Market Structure Pro + (@JP7FX)Market Structure Pro Plus (JP7FX)
Market Structure Pro Plus identifies swing highs and swing lows using a three candle confirmation method. It highlights liquidity behaviour and market structure shifts without manual marking.
Swing Point Detection
The indicator marks swing highs and lows when the middle candle in a three candle sequence forms the highest high or lowest low.
This approach reacts to local price behaviour and does not rely on a large lookback period.
Liquidity Grab Signals
The indicator highlights when price trades beyond a previous swing high or swing low and then returns.
These events help users review how liquidity is taken around prior highs and lows.
Break of Structure Signals
The indicator marks a break of structure when a candle closes beyond a previous swing point.
Bullish structure change signals occur when price closes above a prior swing high.
Bearish structure change signals occur when price closes below a prior swing low.
Deviation Stats and Projections
The script tracks how far price extends beyond the last confirmed swing high or swing low, in pips, after liquidity is taken.
It keeps a rolling history of these extensions and calculates an average combined extension for recent moves.
This average is shown in a small stats table as “Avg SD High/Low”.
Using this value, the indicator projects two reference levels from the latest confirmed swing:
• a “Deviation High” line projected from the last swing high
• a “Deviation Low” line projected from the last swing low
These projection lines are drawn as dotted levels with labels and can be used as reference zones based on recent extension behaviour.
Features
• Automatic swing high and swing low detection
• Liquidity grab marking
• Break of structure marking
• Deviation stats table with average extension value
• Projection lines for Deviation High and Deviation Low
• Alerts for liquidity grabs and structure changes
• Market type setting for forex, stock, crypto, commodity and futures
• Customisable colours, line styles and visibility options
• Works across all timeframes and assets
Use Cases
Useful for traders who study market structure, track trend shifts, or review liquidity and extension behaviour around highs and lows.
The indicator reduces manual chart work by highlighting swing points, structure changes and typical extension zones in real time.
HVN Smart Liquidity📊 What the Indicator Does
HVN Smart Liquidity is a professional tool for identifying institutional liquidity zones based on Market Profile analysis and High Volume Nodes (HVN). The indicator visualizes dynamic zones where the greatest trading activity is concentrated, using TPO (Time Price Opportunity) methodology to reveal levels where major market participants place their positions.
🎯 Originality and Advantages
Unlike standard volume indicators or static support/resistance levels, HVN Smart Liquidity offers a unique combination of features:
Multi-timeframe analysis: simultaneous calculation of HVN zones across 4 different timeframes with automatic adaptation to the current chart
Dynamic zone behavior: boxes automatically contract when price moves inside the zone and are deleted upon complete breakout, reflecting real institutional liquidity dynamics
Precise TPO calculation: instead of simple volume counting, uses Market Profile methodology with range division into 20 price channels
Intelligent filtering: adjustable HVN threshold (default 70% of maximum TPO) filters out insignificant zones and shows only critically important levels
⚙️ How the Indicator Works
1. Market Profile Data Collection
The indicator tracks bar formation on selected timeframes. For each completed period:
High-Low range is recorded
Number of bars on current chart timeframe is counted
Range is divided into 20 equal price channels
2. TPO (Time Price Opportunity) Calculation
For each of the 20 channels, the indicator counts how many bars touched that price range. This provides distribution of trading activity by price — the foundation of Market Profile methodology. The get_tpo() function checks the intersection of each bar's Low-High range with channel boundaries.
3. HVN Zone Identification
The algorithm identifies High Volume Nodes — areas where TPO exceeds the specified threshold (default 70% of maximum value). Adjacent channels exceeding the threshold are merged into a single liquidity zone. This creates visual boxes showing where price spent maximum time and where large positions are concentrated.
4. Dynamic Zone Management
After creation, HVN zones begin their own lifecycle:
Contraction on touch: when price enters the zone, the box contracts from the side nearest to current price, showing partial liquidity absorption
Deletion on breakout: if price breaks through upper or lower boundary, or passes through the zone in one bar, the box is completely deleted — liquidity is exhausted
Current TF projection: zones extend right (extend.right), showing level relevance
🔧 How to Use
Basic Setup:
Timeframe selection: enable desired timeframes (TF1-TF4) via checkboxes. Recommended to use 2-3 timeframes for different trading styles
Auto mode: when selecting 'Auto', the indicator automatically chooses higher timeframe depending on current chart (e.g., on M5 → selects H2, on H1 → selects D)
Color differentiation: configure different colors for each timeframe to distinguish short-term and long-term liquidity zones
Trading Strategies:
Strategy 1: HVN Bounce
Look for entry points when price approaches an HVN zone from a higher timeframe. If the zone begins to contract (price inside) but isn't broken — high probability of bounce. Use lower timeframe zones for precise entry timing.
Strategy 2: Breakout and Retest
After complete HVN zone breakout (box disappeared), wait for price to return to the level of the former zone. Boundaries of deleted zones often become strong support/resistance levels for retests.
Strategy 3: Timeframe Confluence
The strongest signals occur when HVN zones from different timeframes coincide or are close to each other. This shows consistency of institutional levels across different time scales.
Parameter Optimization:
HVN Threshold (70%): increasing to 80-90% gives fewer but more significant zones; decreasing to 50-60% shows more potential levels
Show Old Boxes: disable for clean chart (only last 50 zones shown), enable for historical analysis
Border Width: increase border width for better visibility on busy charts
💡 Smart Money Concept
The indicator is based on understanding that institutional participants (Smart Money) leave traces of their activity in volume distribution across price levels. High Volume Nodes represent zones where:
Market makers place limit orders to provide liquidity
Institutional traders accumulate or distribute large positions
Fair Value prices form after volatile movements
By tracking the dynamics of these zones, traders can "see" the intentions of major players and trade alongside institutional flow.
📈 Applicability
The indicator is universal and works on all market types:
Cryptocurrency: Bitcoin, Ethereum, altcoins
Forex: major and cross pairs
Stocks: equities, indices
Futures: commodity and financial futures
Timeframes: from M1 to Monthly. Optimal results on M5-H4 for intraday and H4-D for swing trading.
⚠️ Important Notes
The indicator requires history accumulation — give it time on first bars of new periods
On low-liquidity instruments or exotic pairs, HVN zone quality may be lower
Use the indicator in combination with other analysis methods (price action, support/resistance, trends)
Maximum box count limited to 500 — during extended operation, old zones are automatically deleted
🔬 Technical Details
Pine Script version: v5
Type: overlay indicator
Computational complexity: medium (uses loops for TPO calculations)
Repainting: minimal, only when new zones form on higher TF
📚 Recommended Reading
For deep understanding of concepts underlying the indicator:
J. Peter Steidlmayer — "Markets and Market Logic" (Market Profile fundamentals)
James Dalton — "Mind Over Markets" (TPO and Value Area)
Smart Money Concepts (SMC) and institutional trading methodologies
jhehli LiquidityWhat are BSL and SSL?
In the context of Smart Money Concepts, liquidity simply refers to pending orders—specifically Stop Losses and Buy/Sell Stop orders—resting above old highs and below old lows.
BSL (Buy-Side Liquidity): This is found above Swing Highs. Retail traders who are short the market will place their "Buy Stop" protective orders here. Additionally, breakout traders place "Buy Limit" orders here. Smart Money views this area as a pool of willing buyers. To fill large sell orders, institutions must drive price up into this liquidity to pair their massive sell interest with these buy stops.
SSL (Sell-Side Liquidity): This is found below Swing Lows. Retail traders who are long the market place their "Sell Stop" protective orders here. Smart Money targets these levels to accumulate long positions. They need the market to sell off into these levels so they can buy from the willing sellers at a discount.
How this Indicator Works
This tool automates the process of market structure analysis by identifying key Swing Highs and Swing Lows.
Detection: It scans price action to find fractal highs and lows (classic swing points) where price has rejected a level.
Visualization: It projects a line from these points, clearly marking where the "stops" are likely residing.
Liquidity Raids: When price pierces these levels, it is considered a "Liquidity Raid" or "Stop Hunt."
How to Use This in Your Trading
Do not treat these lines simply as Support and Resistance. In the ICT methodology, old highs and lows are targets, not barriers.
For Reversals: Wait for a "Turtle Soup" or "Judas Swing." This occurs when price aggressively expands into a BSL or SSL level to trigger stops, only to quickly reverse back into the trading range. This indicates that Smart Money has finished their accumulation or distribution.
For Bias: If the higher timeframe trend is Bullish, expect SSL to be raided to fuel the move, while BSL becomes the target (Draw on Liquidity).
By using this indicator, you remove the guesswork of manually marking every swing point, allowing you to focus on price action and the reaction at these critical liquidity pools.
Change in State of Delivery CISD [AlgoAlpha]🟠 OVERVIEW
This script tracks how price “changes delivery” after failed attempts to push in one direction. It builds swing levels from pivots, watches for those levels to be wicked, and then checks if price delivers cleanly in the opposite direction. When the pattern meets the script’s tolerance rules, it marks a Change in State of Delivery (CISD). These CISD levels are drawn as origin lines and are used to spot shifts in intent, failed pushes, and continuation attempts. A CISD becomes stronger when it forms after opposing liquidity is swept within a defined lookback.
🟠 CONCEPTS
The script first defines structure using swing highs/lows. These levels act as potential liquidity points. When price wicks through a swing, the script registers a mitigation event. After this, it looks for a reversal-style candle sequence: a failed push, followed by a counter-move strong enough to pass a tolerance ratio. This ratio compares how far price expanded away from the failed attempt versus the counter-move that followed. If the ratio is high enough, this becomes a CISD. The idea is simple: liquidity interaction sets context , and the tolerance logic identifies actual intent . CISD levels and sweep markers combine these two ideas into a clean map of where delivery flipped.
🟠 FEATURES
Liquidity tracking: marks swing highs/lows and updates them until expiry
Liquidity sweep confirmation when CISD aligns with recent mitigations
Alert conditions for all key events: mitigations, CISDs, and strong CISDs
🟠 USAGE
Setup : Add the script to your chart. Use it on any timeframe where swing behavior matters. Set the Swing Period for how wide a pivot must be. Set Noise Filter to control how strict the CISD detection is. Liquidity Lookback defines how recent a wick must be to confirm a sweep.
Read the chart : Origin lines mark where the CISD began. A green line signals bullish intent; a red line signals bearish intent. ▲ and ▼ shapes show CISDs that form after liquidity is swept, these mark strong signals for potential entry. Swing dots show recent swing highs/lows. Candle colors follow the latest CISD trend.
Settings that matter : Increasing Swing Period produces fewer but stronger swings. Raising Noise Filter requires cleaner counter-moves and reduces false CISDs. Liquidity Lookback controls how strict the sweep confirmation is. Expiry Bars decides how long swing levels remain active.
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve.
Mechanism (What It Measures)
The script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding:
\text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)}
1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money).
2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure).
3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity.
How to Interpret Signals
Treat the Net Liquidity line as the market's "Fuel Gauge":
📈 BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets.
📉 BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action.
⚠️ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent.
Important Notes
Data Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping.
Disclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
Systemic Net Liquidity (Macro Fuel for Crypto & Stocks)This indicator tracks Systemic Net Liquidity, the single most important macro factor for determining the long-term trend of risk assets like Bitcoin (BTC) and major indices (S&P 500). It measures the amount of actual cash available in the financial system to chase speculative assets, distinguishing between money that is circulating and money that is locked up at the Federal Reserve.
Mechanism (What It Measures)
The script uses direct data from the FRED (Federal Reserve Economic Data) to calculate the true state of market funding:
\text{Net Liquidity} = \text{Fed Assets (WALCL)} - \text{Treasury General Account (TGA)} - \text{Reverse Repo (RRP)}
1. Fed Assets (WALCL): The total balance sheet of the Fed (The overall supply of money).
2. Treasury General Account (TGA): Funds the US Treasury collects via bond issuance. When the TGA rises, liquidity is actively drained from the banking system (A major bearish pressure).
3. Overnight Reverse Repo (RRP): Cash parked by banks and money market funds at the Fed, effectively frozen and not contributing to market activity.
How to Interpret Signals
Treat the Net Liquidity line as the market's "Fuel Gauge":
📈 BULLISH SIGNAL (Liquidity Injection): When the Net Liquidity line is rising, money is flowing back into the system, signalling a tailwind for risk assets.
📉 BEARISH SIGNAL (Liquidity Drain): When the line is falling (often due to high TGA balances), cash is being removed. This signals major friction and pressure on price action.
⚠️ DIVERGENCE WARNING: A strong signal is generated when Price (e.g., BTC) rises, but Net Liquidity falls. This macro divergence strongly suggests a major trend reversal or correction is imminent.
Important Notes
Data Source: Data is directly sourced from FRED and updates daily/weekly. This tool is best used for macro analysis and identifying high-level cycles, not short-term scalping.
Disclaimer: Use this indicator as a confirmation tool within your broader strategy. It is not a standalone trading signal.
Gabbie - LiquidityGabbie – Liquidity identifies high-probability liquidity pools on your current trading timeframe. It detects swing highs/lows that fail to meaningfully break prior highs/lows, marking areas where liquidity is most likely resting.
It also plots:
Asia Session High / Low as a key liquidity and mean-reversion zone
Support & Resistance zones derived from recent swing behavior on the active timeframe
This indicator is designed to support discretionary traders who model liquidity, sessions, and structure.
Settings
Adjust the font size of the liquidity labels ($$$).
All other features are optimized to work on default settings.
Limitations / reminder
Liquidity levels are probabilistic. Use alongside confirmation tools and always apply your own risk management.
ICT Sessions Ranges [SwissAlgo]ICT Session Ranges - ICT Liquidity Zones & Market Structure
OVERVIEW
This indicator identifies and visualizes key intraday trading sessions and liquidity zones based on Inner Circle Trader (ICT) methodology (AM, NY Lunch Raid, PM Session, London Raid). It tracks 'higher high' and 'lower low' price levels during specific time periods that may represent areas where market participants have placed orders (liquidity).
PURPOSE
The indicator helps traders observe:
Session-based price ranges during different market hours
Opening range gaps between market close and next day's open
Potential areas where liquidity may be concentrated and trigger price action
SESSIONS TRACKED
1. London Session (02:00-05:00 ET): Tracks price range during early London trading hours
2. AM Session (09:30-12:00 ET): Tracks price range during the morning New York session
3. NY Lunch Session (12:00-13:30 ET): Tracks price range during typical low-volume lunch period
4. PM Session (13:30-16:00 ET): Tracks price range during the afternoon New York session
CALCULATIONS
Session High/Low: The highest high and lowest low recorded during each active session period
Opening Range Gap: Calculated as the difference between the previous day's 16:00 close and the current day's 09:30 open
Gap Mitigation: A gap is considered mitigated when the price reaches 50% of the gap range
All times are based on America/New_York timezone (ET)
BACKGROUND INDICATORS
NY Trading Hours (09:30-16:00 ET): Optional gray background overlay
Asian Session (20:00-23:59 ET): Optional purple background overlay
VISUAL ELEMENTS
Horizontal lines mark session highs and lows
Subtle background boxes highlight each session range
Labels identify each session type
Orange shaded boxes indicate unmitigated opening range gaps
Dotted line at 50% gap level shows mitigation threshold
FEATURES
Toggle visibility for each session independently
Customizable colors for each session type
Automatic removal of mitigated gaps
All drawing objects use transparent backgrounds for chart clarity
ICT CONCEPTS
This tool relates to concepts discussed by Inner Circle Trader regarding liquidity pools, session-based analysis, and gap theory. The indicator assumes that session highs and lows may represent areas where liquidity is concentrated, and that opening range gaps may attract price until mitigated.
USAGE NOTES
Best used on intraday timeframes (1-15 minute charts)
All sessions are calculated based on actual price movement during specified time periods
Historical session data is preserved as new sessions develop
Gap detection only triggers at 09:30 ET market open
DISCLAIMER
This indicator is for educational and informational purposes only. It displays historical price levels and time-based calculations. Past performance of price levels is not indicative of future results. The identification of "liquidity zones" is a theoretical concept and does not guarantee that orders exist at these levels or that prices will react to them. Trading involves substantial risk of loss. Users should conduct their own analysis and risk assessment before making any trading decisions.
TIME ZONE
Set your timezone to: America/New_York (UTC-5)
Session Liquidity Levels – Indicator for Smart Day Traders🧭 Session Liquidity Levels – Indicator for Smart Day Traders
Identify Key Market Liquidity Zones with Precision
The Session Liquidity Levels indicator automatically plots the most important market levels every day — giving you a clear view of where liquidity is building and where potential reversals or breakouts can occur.
This tool is designed for traders who rely on session structure and clean market levels rather than noise or lagging indicators.
⚙️ Features
✅ Asia Session High & Low – See the overnight range where liquidity starts building.
✅ London Session High & Low – Track the major volatility window and identify sweeps or fakeouts.
✅ Previous Day High & Low – Key reference points for continuation or reversal plays.
✅ Custom Colors & Styling – Personalize line colors and styles to fit your chart theme.
✅ Lightweight & Fast – Built in Pine Script v5 for smooth performance on all assets.
📊 How It Helps
Quickly visualize session highs/lows to plan liquidity grabs or breakout entries.
Mark daily structure without manually drawing lines.
Combine with your existing strategy to refine entry and exit timing.
Works on Forex, Indices, and Metals across all intraday timeframes.
⚡ Best For
Day traders who use session-based strategies (like Asia → London → New York transitions).
Traders studying liquidity sweeps, breakouts, or market structure shifts.
Anyone who wants a clean, automatic way to see session boundaries and key highs/lows.
🕌 Ethical Note
This indicator is 100% original, independently coded, and inspired by common trading concepts such as session ranges and daily structure.
It is not affiliated with or copied from any other paid indicators.
💰 Access
Available as an Invite-Only Script on TradingView.
Once purchased, you’ll receive access within 24 hours.
📩 Support
If you have any issues or want custom modifications (extra sessions, alerts, etc.), contact me directly — I’ll help you set it up.
Trade smarter. Stay disciplined. Let your levels guide you.
Killzone Session High/Low Levels [SmartFoxy]Killzone Session High/Low Levels
The Killzone Session High/Low Levels indicator by SmartFoxy provides a complete intraday framework for understanding session-based liquidity, market structure rotation, and breakout behavior across global trading sessions.
It automatically plots the High/Low ranges for each selected session, highlights session killzones, and tracks breakout events with optional alerts.
This tool is designed for traders who rely on session dynamics (Asia, Frankfurt, London, New York) to identify liquidity targets, sweep zones, key ranges, and continuation/reversal opportunities.
________________________________________
How It Works
The indicator detects the active trading sessions for each day and builds structural High/Low ranges for them:
• Asia Session Range (High/Low);
• Frankfurt Session Range;
• London Session Range;
• New York Session Range;
• Optional custom session (NY Open, or any killzone).
For each session, the script can display:
• Session box or column;
• High/Low levels;
• Labels for every range (H/L);
• True session boundaries using user-defined timezone;
• Auto-extended levels up to the latest candle;
• Break levels after a breakout;
• Conditional removal or recoloring after a level is breached.
This gives traders a clean visual map of session liquidity and how price interacts with it throughout the day.
________________________________________
Key Features
1. Multiple Global Sessions •➤ Asia, Frankfurt, London, New York, plus one custom session for advanced killzone mapping.
2. Session High/Low Liquidity Levels •➤ Automatic plotting of every session’s High and Low, with optional labels and price markers.
3. Session Boxes or Columns •➤ Two display modes allow traders to visualize the session either as a filled box or a clear vertical column.
4. Breakout Logic & Temporary Levels .
When price breaks a session High/Low:
• Levels can be extended for a selected number of bars
• Or removed instantly after a breakout
• Or recolored to highlight the sweep event
This enables clean identification of liquidity grabs, breakouts, and continuation setups.
5. Alerts for Session Breakouts .
Set alerts when price breaks:
• Any session level
• Only levels formed on the current day
Perfect for traders who want real-time notifications of sweeps or key structure breaks.
6. Full Customization
You can configure:
• Session times;
• Timezone;
• Colors;
• Labels;
• Line styles and widths;
• Breakout behavior;
• Killzone range handling.
Everything is adjustable to match any trading style.
________________________________________
How to Use
1. Enable the sessions you want to track •➤ Asia, Frankfurt, London, New York, or custom.
2. Choose display mode
Box mode for visual range blocks;
Column mode for clean vertical alignment.
3. Enable High/Low Levels .
These act as liquidity magnets and key rejection zones.
4. Turn on Breakout Levels (optional)
Useful for spotting sweeps and continuation setups.
5. Turn on Alerts if you want notifications when price breaks levels.
6. Use session levels as liquidity reference points .
They work exceptionally well with smart money concepts (SMC), ICT, and intraday structure analysis.
________________________________________
Why This Indicator Is Useful
Shows exactly where liquidity is placed each session;
Highlights market structure transitions as sessions hand over control;
Helps identify stop hunts, sweeps, reversals, and continuation patterns;
Provides real-time alerts for structural breaks;
Organizes the chart and reduces noise;
Works with any intraday timeframe and any market.
This makes it valuable for scalpers, day traders, and SMC/ICT-style analysts.
________________________________________
Summary
Killzone Session High/Low Levels delivers a complete, highly customizable intraday mapping system based on global trading sessions.
It clarifies the session structure, reveals liquidity targets, and empowers traders to make confident trading decisions using clean, objective market data.
Advanced Liquidity Trading Suite═══════════════════════════════════════
ADVANCED LIQUIDITY TRADING SUITE
═══════════════════════════════════════
A comprehensive institutional trading indicator that identifies key market structure elements used by professional traders.
───────────────────────────────────────
WHAT THIS INDICATOR DOES
───────────────────────────────────────
This tool visualizes multiple institutional trading concepts on a single chart:
- Multi-Timeframe Liquidity Levels - Identifies swing highs/lows where institutional orders may be resting
- Order Blocks - Highlights the last opposing candle before significant price moves
- Dynamic Trendlines - Automatically draws support/resistance channels based on pivot points
- Premium/Discount Zones - Displays price distribution zones relative to swing ranges
- Trading Sessions - Shows Asian, London, and New York session boundaries with their key levels
- Market Structure Breaks - Identifies when price breaks through significant swing points
───────────────────────────────────────
HOW IT WORKS
───────────────────────────────────────
LIQUIDITY LEVELS:
- Uses pivot high/low detection with configurable left/right bar parameters
- Operates on multiple timeframes (HTF for major levels, LTF for precision entries)
- Levels are removed when price sweeps through them (configurable)
- Detection method: Standard pivot point algorithm with customizable sensitivity
ORDER BLOCKS:
- Identifies the last bearish candle before a bullish move (bullish OB)
- Identifies the last bullish candle before a bearish move (bearish OB)
- Uses swing length detection to find institutional accumulation/distribution zones
- Color-coded strength indicators show buying vs selling pressure within each block
- Violation detection using either wick or close-based invalidation
DYNAMIC TRENDLINES:
- Automatically connects pivot points to form trend channels
- Creates parallel channel lines at configurable spacing
- Breaks are detected when price closes through the channel
- Optional gradient fills for visual clarity
PREMIUM/DISCOUNT ZONES:
- Calculates equilibrium price based on swing range
- Premium zone: Upper 50% of range (institutional selling area)
- Discount zone: Lower 50% of range (institutional buying area)
- Equilibrium: Middle zone representing fair value
TRADING SESSIONS:
- Displays time-based session boxes for major market hours
- Tracks session high/low levels
- Shows session overlaps when multiple markets are active
- Fully customizable session times and time zones
───────────────────────────────────────
HOW TO USE
───────────────────────────────────────
SETUP:
1. Enable desired features using the Master Toggle Controls
2. Adjust timeframes for HTF (4H/Daily) and LTF (1H/4H) liquidity
3. Configure colors and display preferences
4. Set up alerts for key events
TRADING APPLICATIONS:
For Trend Trading:
- Use HTF liquidity levels as major support/resistance
- Wait for LTF liquidity sweeps to enter in trend direction
- Monitor dynamic trendlines for trend confirmation
For Reversal Trading:
- Watch for liquidity sweeps beyond HTF levels
- Look for order block formation after sweep
- Enter when price returns to the order block
For Range Trading:
- Trade between premium and discount zones
- Use equilibrium as profit target
- Monitor session highs/lows for intraday ranges
RISK MANAGEMENT:
- Place stops beyond liquidity levels
- Use order blocks for entry refinement
- Exit at premium zones in uptrends, discount zones in downtrends
───────────────────────────────────────
CONFIGURATION GUIDE
───────────────────────────────────────
Master Controls: Toggle features on/off globally
Liquidity Settings:
- Left/Right Bars: Adjust pivot sensitivity
- Display Limit: Number of levels shown
- Mitigation: Remove or show swept levels
- Extension: How far lines extend
Order Blocks:
- Swing Length: Detection sensitivity
- Show Last X: Number of active blocks
- Violation Type: Wick or close-based
- Hide Overlap: Manage overlapping blocks
Trendlines:
- Period: Pivot lookback
- Channel Padding: Distance between lines
- Gradient Fills: Visual enhancement
- Show History: Keep broken trendlines
Sessions:
- Time Settings: Customize session hours
- Time Zone: Adjust for your location
- Days to Show: Historical session display
- High/Low Lines: Session range markers
───────────────────────────────────────
ALERTS
───────────────────────────────────────
Available alert conditions:
- HTF Liquidity Hit (High/Low)
- Order Block Formation (Bullish/Bearish)
- Order Block Violation
- Trendline Formation
- Trendline Break
Configure alerts per your trading strategy requirements.
───────────────────────────────────────
EDUCATIONAL NOTE
───────────────────────────────────────
This indicator is based on institutional order flow concepts. It does not predict future price movements but rather identifies areas where significant market participants may be positioned. Always combine with your own analysis and proper risk management.
The indicator uses standard technical analysis methods (pivot detection, swing analysis, session time filtering) combined into a unified visualization tool.
───────────────────────────────────────
DISCLAIMER
───────────────────────────────────────
This indicator is for educational purposes. Past performance does not guarantee future results. Always conduct your own analysis and manage risk appropriately.
Advanced Swing Points Liquidity by BTTAdvanced Swing Points Liquidity Indicator by BTT
Identify key price reversals and liquidity zones with precision using the Advanced Swing Points Liquidity indicator. This tool automatically detects swing highs (Buy Side Liquidity) and swing lows (Sell Side Liquidity) based on customizable pivot logic, and visualizes these levels on your chart for enhanced trading decisions.
Core Features:
Swing Logic Choice: Instantly switch between classic 3-point (tight pivots) and broader 5-point (stronger swings) swing detection.
Visual Clarity: Each swing point is highlighted with your choice of colored labels and extended horizontal lines.
Custom Line Length: Define how far each liquidity line extends, making it easy to spot critical reversal and breakout zones across the chart.
Liquidity Zones: (Optional) Shaded boxes overlay the chart at swing highs/lows, helping you visualize supply and demand areas and optimize entries/exits.
Distinctive Labels: BSL (Buy Side Liquidity) at swing highs, SSL (Sell Side Liquidity) at swing lows, making institutional liquidity levels immediately visible.
How to Use:
Use swing labels and lines to spot potential price reaction zones, stop hunt areas, and trend reversals.
Combine with your price action, order blocks, or other SMC tools for confirmation and trade planning.
Adjust parameters for any market (indices, stocks, crypto, commodities), any timeframe.
Perfect For:
Smart money traders locating liquidity grabs and stop hunts
Supply & demand, market structure, and swing traders
Anyone wanting automated mapping and visual clarity for swing pivots and institutional levels
Customization:
Choose swing detection style (pivot window)
Toggle lines, labels, and liquidity boxes on/off
Set color, box height, and line length for maximum visual control
Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)This indicator — “Swing Points & Liquidity — ENHANCED PRO (Dark/Light Mode)” — automatically detects and visualizes swing highs, swing lows, and liquidity levels on the chart with rich analytics and customizable visuals.
🔍 Core Features
Smart Swing Detection: Identifies pivot highs/lows based on adjustable left/right bar settings.
Liquidity Visualization: Draws dynamic boxes and lines for liquidity pools and swing zones.
Volume & OI Integration: Filters and colors levels using volume and Open Interest Δ (change).
Strength Meter: Highlights strong liquidity levels with color gradients based on OI + volume intensity.
Automatic Trendlines: Connects swing points with selectable style and width.
Fibonacci Mapping: Automatically projects fib retracements (23.6%, 38.2%, 50%, 61.8%, 78.6%) from swing-to-swing for confluence zones.
Statistics Panel: Displays live metrics — total levels, active/filled count, success rate, and average strength.
Alerts System: Alerts for new swing formations and when price touches or breaks a level.
Multi-Timeframe Option: Analyze swing structures from higher timeframes on any chart.
Dual Theme Mode: Fully optimized for both Dark and Light interface preferences.
⚙️ Advanced Options
Adjustable lookback range
Hide or extend filled levels
Configurable volume and OI thresholds
Supports multiple OI data sources (Binance, BitMEX, Kraken)
Fully dynamic text, color, and label alignment settings
💡 Use Case
Perfect for Smart Money Concept (SMC) and ICT-style analysis, liquidity sweeps, and swing-based trading.
Traders can quickly visualize where liquidity sits, track how it gets filled, and monitor structure shifts in real time.
Hidden Liquidity Basic🟦 Hidden Liquidity Indicator – Basic Version
The Basic Version of the Hidden Liquidity Indicator expands on the Free version with advanced analytical features, full customization, and extended multi-timeframe capabilities.
Designed for professional and detail-oriented traders, it offers greater precision and control in identifying and interpreting Hidden Order Blocks (HOBs), Partial Hidden Order Blocks (PHOBs), and Partially Mitigated Hidden Order Blocks (PMHOBs).
🔍 Key Features
• Full Multi-Timeframe Analysis
Detect HOBs, PHOBs, and PMHOBs across up to 8 timeframes, allowing deep market structure comparison and multi-level confluence detection.
• Extended Visualization & Labelling Tools
• Extended boxes for clear structural mapping across larger chart areas.
• Merging labels to reduce clutter and improve readability.
• Multiple color schemes for clear differentiation between order block types.
• Advanced Customization Options
• Define individual ranges for each timeframe.
• Set a custom minimum HOB size to filter smaller or irrelevant zones.
• Adjust custom engulfing settings to fine-tune OB detection sensitivity.
• Create custom names for better chart management and strategy integration.
• Partial & Mitigation Analysis
The Basic version identifies and categorizes all hidden liquidity zones based on mitigation level:
• HOB (Hidden Order Block): Candle body fully within the FVG and untouched by wicks – a strong, valid liquidity block.
• PHOB (Partial Hidden Order Block): At least 50% of the candle body sits inside the FVG – representing partial liquidity presence.
• PMHOB (Partially Mitigated Hidden Order Block): Candle body mitigated by less than 50% – a partially weakened zone but still significant.
For all valid HOBs, the equilibrium (EQ) must be crossed by the corresponding FVG.
• Clustering Engine
Integrates a clustering system that automatically groups nearby or overlapping order blocks, creating a more organized and efficient visualization of liquidity concentrations.
🎨 Visual Consistency
All order blocks are color-coded for quick and intuitive recognition
⚙️ Summary
The Basic version is a professional-grade upgrade that combines advanced structure detection, customizable parameters, and a smart clustering engine for deeper liquidity insights.
With up to 8 timeframe support, extended visualization tools, and custom configuration options, it gives traders full control over how hidden liquidity is identified, displayed, and analyzed — empowering strategic precision and refined decision-making.
Apex Edge – HTF Overlay Candles“Trade your 5m chart with the eyes of the 1H — Apex Edge brings higher-timeframe structure and liquidity sweeps directly onto your execution chart.”
Apex Edge – HTF Overlay Candles
The Apex Edge – HTF Overlay Candles indicator overlays higher-timeframe (HTF) candles directly onto your lower-timeframe chart. Instead of flipping between timeframes, you see HTF structure “breathe” live on your execution chart.
What It Does
• HTF Body Boxes → open/close zones drawn as semi-transparent rectangles.
• HTF Wick Boxes → high/low extremes projected as envelopes around each body.
• Midpoint Line → a dynamic equilibrium line that flips bias as price trades above or below.
• Sweep Arrows → one-time markers showing the first liquidity raid at HTF highs or lows.
Under the Hood
This isn’t just a visual overlay — it’s engineered for accuracy and performance in PineScript.
1. HTF Data Retrieval
• Uses request.security() to import open, high, low, close, time from any selected HTF.
• lookahead=barmerge.lookahead_off ensures OHLC values update bar by bar as the HTF
candle builds.
• When the HTF bar closes, boxes and midpoint lock to historical values — matching the
native HTF chart exactly.
2. Box Construction
• Body box: built from HTF open → close.
• Wick box: built from HTF high → low.
• Boxes extend dynamically across each HTF period, updating in real time, then freeze at
close.
3. Midpoint Logic
• (htfOpen + htfClose) / 2 calculates intrabar midpoint.
• Line drawn edge-to-edge across the active HTF body.
• Style, width, color, and opacity are user-controlled.
4. Sweep Detection
• Flags (sweepedHigh / sweepedLow) prevent clutter: only the first tap per side per HTF
candle is marked.
• Lower-timeframe price breaking the HTF high/low triggers the sweep arrow.
• Arrows are offset above/below wick envelopes for clean visuals.
5. Customisation
• Every layer (body, wick, midpoint, arrows) has independent color + opacity settings.
• Arrow size, arrow color, and transparency are adjustable.
• Default HTF = 1H (perfect for 5m/15m traders) but can be switched to 30m, 4H, Daily,
etc.
Why It’s Useful
• HTF intent + LTF execution without chart hopping.
• Liquidity mapping: see where liquidity is swept in real time.
• Bias clarity: midpoint line defines HTF equilibrium.
• Clean signals: only the first sweep prints — no spam.
What Makes It Different
Most MTF overlays just plot candles or single lines. This tool:
• Splits body vs wick zones for institutional precision.
• Updates live intrabar (no repainting).
• Highlights liquidity sweeps clearly.
• Built for readability and professional use — not another retail signal toy.
Cheat-Sheet Playbook
1️⃣ Structure Bias
• Above midpoint line = bullish intent.
• Below midpoint line = bearish intent.
• Chop around midpoint = no clear direction.
2️⃣ Liquidity Sweeps
• ▲ Green up arrow below wick box = sell-side liquidity taken → watch for longs.
• ▼ Red down arrow above wick box = buy-side liquidity taken → watch for shorts.
• First sweep is the cleanest.
3️⃣ Trade Logic
• Body box = where institutions transact.
• Wick box = liquidity traps.
• Midpoint = bias filter.
• Best setups occur when sweep + midpoint flip align.
4️⃣ Example (5m + 1H Overlay)
1. ▲ Green up arrow prints below HTF wick.
2. Price reclaims the body box.
3. Midpoint flips to support.
4. Enter long → stop below sweep → targets = midpoint first, opposite wick second.
In short:
• Boxes = structure
• Wicks = liquidity pools
• Midpoint = bias line
• Arrows = liquidity sweeps
This is your SMC edge on one chart — HTF structure and liquidity fused directly into your execution timeframe.
US Net Liquidity + M2 / US Debt (FRED)US Net Liquidity + M2 / US Debt
🧩 What this chart shows
This indicator plots the ratio of US Net Liquidity + M2 Money Supply divided by Total Public Debt.
US Net Liquidity is defined here as the Federal Reserve Balance Sheet (WALCL) minus the Treasury General Account (TGA) and the Overnight Reverse Repo facility (ON RRP).
M2 Money Supply represents the broad pool of liquid money circulating in the economy.
US Debt uses the Federal Government’s total outstanding debt.
By combining net liquidity with M2, then dividing by total debt, this chart provides a structural view of how much monetary “fuel” is in the system relative to the size of the federal debt load.
🧮 Formula
Ratio
=
(
Fed Balance Sheet
−
(
TGA
+
ON RRP
)
)
+
M2
Total Public Debt
Ratio=
Total Public Debt
(Fed Balance Sheet−(TGA+ON RRP))+M2
An optional normalization feature scales the ratio to start at 100 on the first valid bar, making long-term trends easier to compare.
🔎 Why it matters
Liquidity vs. Debt Growth: The numerator (Net Liquidity + M2) captures the monetary resources available to markets, while the denominator (Debt) reflects the expanding obligation of the federal government.
Market Signal: Historically, shifts in net liquidity and money supply relative to debt have coincided with major turning points in risk assets like equities and Bitcoin.
Context: A rising ratio may suggest that liquidity conditions are improving relative to debt expansion, which can be supportive for risk assets. Conversely, a falling ratio may highlight tightening conditions or debt outpacing liquidity growth.
⚙️ How to use it
Overlay this chart against S&P 500, Bitcoin, or gold to analyze correlations with asset performance.
Watch for trend inflections—does the ratio bottom before equities rally, or peak before risk-off periods?
Use normalization for long historical comparisons, or raw values to see the absolute ratio.
📊 Data sources
This indicator pulls from FRED (Federal Reserve Economic Data) tickers available in TradingView:
WALCL: Fed balance sheet
RRPONTSYD: Overnight Reverse Repo
WTREGEN: Treasury General Account
M2SL: M2 money stock
GFDEBTN: Total federal public debt
⚠️ Notes
Some FRED series are updated weekly, others monthly—set your chart timeframe accordingly.
If any ticker is unavailable in your plan, replace it with the equivalent FRED symbol provided in TradingView.
This indicator is intended for macro analysis, not short-term trading signals.
NDOG & NWOG - Liquidity + Sunday Box rroielDescription:
This script combines NDOG & NWOG liquidity levels with a Sunday Box framework to provide traders with structured levels for weekly bias, liquidity mapping, and potential entry/exit zones.
Features:
• Automatic plotting of NDOG & NWOG liquidity zones.
• Sunday Box (weekly open range) drawn to define structure and bias.
• Highlights liquidity sweeps and retests for trade confirmation.
• Configurable settings for box time, liquidity range, and display options.
• Built to support ROI/EL strategies by aligning liquidity with weekly key levels.
Use Case:
Helps traders identify where price is likely to react by combining liquidity-based zones with the Sunday box framework. Designed for clarity, confluence, and efficiency in execution.
Hopiplaka Goldbach System with SignalsThis tool builds a dynamic price framework around the current market using a PO3 range and a set of mathematically derived Goldbach levels. It then scores nearby levels for quality (reliability) and produces Buy/Sell signals only when multiple, independent factors line up (price level quality, trend/“Tesla Vortex” state, ICT AMD phase, time confluence, volume bias, and momentum). The goal is to identify high-confluence inflection points rather than constant signals.
Core Concepts & Why They’re Combined
1. PO3 Range Framework
Price is segmented into a primary range (lower → upper) determined by a configurable size (3× ladder: 3, 9, 27, …, 2187).
⦁ If price sits near a boundary (configurable sensitivity), the range can auto-expand to the next 3× size to better fit current volatility.
⦁ This gives a stable “map” of the active trading area and its boundaries.
2. Goldbach Levels (Pure Hopiplaka implementation)
For each even number ≤ your precision limit, the script evaluates all prime-sum partitions (Goldbach partitions) and converts their prime ratios into price levels inside the PO3 range.
⦁ Levels are classified as Premium / Standard / Discount based on properties of the prime pair and a mathematical weighting.
⦁ Strict minimum spacing rules (exact %, OB %, liquidity-void %) prevent clutter and keep only the most meaningful levels.
3. Tesla Vortex (trend/phase strength)
A volatility/trend-aware state machine estimates whether market is in MMxM (accumulation/mean-revert like) or TREND conditions and maps price interaction with high-quality levels to phases (e.g., Order Block Formation, Distribution).
⦁ This helps filter signals: buys favored in MMxM near supportive levels; sells favored in TREND near premium/liquidity levels, etc.
4. ICT Integration (AMD, IPDA bias hooks)
A lightweight AMD phase detector classifies the recent window into Accumulation / Manipulation / Distribution and marks market structure bias. This is used as confluence with level quality and trend state.
5. Time Confluence (Goldbach time)
Swing highs/lows are checked against Goldbach-valid timestamps (based on hour+minute sums decomposable into prime pairs). Repeated alignment adds time-bias confidence. When price and time align, level reliability is boosted.
6. Volume & Liquidity Context
A rolling volume baseline marks High/Low Volume Bias; levels can be volume-weighted (raising or lowering their reliability). Proximity to PO3 extremes flags pending liquidity sweeps.
Why this mashup?
The system blends price geometry (PO3 + Goldbach), state/trend (Tesla Vortex), market-microstructure (ICT AMD), time confluence, and volume/liquidity into one numerically scored signal. Each component answers a different question; together they reduce false positives and favor high-quality trades near meaningful levels.
What You’ll See on the Chart
⦁ PO3 Range Boundaries: two dashed lines (“lower” and “upper”). Auto-expand darkens the boundary style slightly.
⦁ Goldbach Levels: horizontal lines colored by classification and context:
⦁ Premium (strong premium band), Standard, Discount
⦁ OB (Order-Block candidate), LV (Liquidity Void)
⦁ TESLA node (trend/phase aligned)
⦁ Heavier width = higher reliability; dashed/dotted styles encode class differences.
⦁ PO3 Liquidity Boxes: narrow yellow shaded bands above/below each level (configurable pip distance).
⦁ Markers
⦁ ▲ Buy arrow below bar when a Buy signal triggers
⦁ ▼ Sell arrow above bar when a Sell signal triggers
⦁ ● Small dot when price touches a Goldbach level
⦁ Data-window plots:
⦁ Tesla Vortex Strength (numeric)
⦁ Time Bias (positive = bullish, negative = bearish)
⦁ Volume Bias (+1 high / −1 low)
⦁ Signal Strength (+ for buy / − for sell, zero when no signal)
⦁ Label Legend (on level tags)
⦁ TESLA – Tesla-aligned level node
⦁ OB – Order-block-quality zone
⦁ LV – Liquidity-void zone
⦁ Premium / Standard / Discount – Level class
⦁ Gxx – Even number used to build the level (Goldbach reference)
⦁ Reliability – Final score after time/volume/tesla weighting
⦁ Optional extras: Vol (relative volume weight), Time (time-confluence strength)
How Signals Are Generated
A signal is proposed when price comes within a minimum distance of a high-reliability level. It is then accepted only if enough of these independent checks pass (you control the required count):
1. Tesla Vortex state matches direction (e.g., MMxM with buy; TREND with sell).
2. ICT AMD phase aligns (Accumulation → buy bias; Distribution → sell bias).
3. Goldbach time bias supports the direction.
4. Volume bias supportive (high-volume context boosts conviction).
5. Level quality (TESLA node or Premium class) is high.
6. Momentum alignment (recent 2–3 bars in the same direction).
Only when confluence ≥ your threshold and confidence ≥ 0.5 (scaled by sensitivity) will a Buy/Sell arrow print. Cooldown prevents rapid repeats.
Inputs (key ones)
⦁ PO3 Settings: range size, auto-expansion toggle, expansion sensitivity, liquidity band distance.
⦁ Goldbach Mathematics: precision limit, exact spacing rules, spacing for OB/LV classes.
⦁ Trading Signals: master toggle, sensitivity, min reliability, confluence required, cooldown, min distance to level, markers on/off.
⦁ Tesla Vortex / ICT: enable Vortex, sensitivity; enable AMD/IPDA analysis and lookback.
⦁ Time & Volume: enable Goldbach time and weighting; volume lookback; liquidity-pool detection.
⦁ Display: show historical/future projections, number of future bars, labels, path/phase overlays.
⦁ Colors: full palette per class/context (premium/discount/OB/LV/Tesla/time/volume, buy/sell/goldbach hit).
Alerts Included
⦁ Signals: “BUY Signal Generated”, “SELL Signal Generated”
⦁ Level Interactions: “Goldbach Level Hit”; “Near Goldbach Level”; “Tesla Vortex Node”; “Premium Level Alert”
⦁ PO3: “PO3 Upper Break”, “PO3 Lower Break”, “PO3 Range Expansion”
⦁ State Changes: “Tesla Vortex Phase Change”
⦁ Context: “Liquidity Sweep Imminent”, “Strong Time Confluence”
You can wire these to webhooks or notifications.
Suggested Workflow
1. Choose PO3 size that matches your instrument’s volatility; keep Auto-Expansion ON initially.
2. Set confluence threshold (start at 3–4) and cooldown (e.g., 10 bars).
3. Keep Time and Volume modules ON for additional reliability weighting.
4. Use arrows as filters, not blind entries—confirm with your execution plan and risk rules.
5. Prefer signals near Premium/Discount TESLA nodes that also show time confluence and supportive volume.
Practical Notes & Limitations
⦁ The mathematical framework is deterministic, but market execution is not—always manage risk.
⦁ Future projections and heavy labeling can be resource-intensive; tune visibility if performance drops.
⦁ If a market is extremely illiquid or gap-prone, spacing/filters may hide many levels (by design).
Disclaimer
This script is for educational and research purposes only and is not financial advice. Trading involves risk. You are responsible for your own decisions.
SMC - Institutional Confidence Oscillator [PhenLabs]📊 Institutional Confidence Oscillator
Version: PineScript™v6
📌 Description
The Institutional Confidence Oscillator (ICO) revolutionizes market analysis by automatically detecting and evaluating institutional activity at key support and resistance levels using our own in-house detection system. This sophisticated indicator combines volume analysis, volatility measurements, and mathematical confidence algorithms to provide real-time readings of institutional sentiment and zone strength.
Using our advanced thin liquidity detection, the ICO identifies high-volume, narrow-range bars that signal institutional zone formation, then tracks how these zones perform under market pressure. The result is a dual-wave confidence oscillator that shows traders when institutions are actively defending price levels versus when they’re abandoning positions.
The indicator transforms complex institutional behavior patterns into clear, actionable confidence percentiles, helping traders align with smart money movements and avoid common retail trading pitfalls.
🚀 Points of Innovation
Automated thin liquidity zone detection using volume threshold multipliers and zone size filtering
Dual-sided confidence tracking for both support and resistance levels simultaneously
Sigmoid function processing for enhanced mathematical accuracy in confidence calculations
Real-time institutional defense pattern analysis through complete test cycles
Advanced visual smoothing options with multiple algorithmic methods (EMA, SMA, WMA, ALMA)
Integrated momentum indicators and gradient visualization for enhanced signal clarity
🔧 Core Components
Volume Threshold System: Analyzes volume ratios against baseline averages to identify institutional activity spikes
Zone Detection Algorithm: Automatically identifies thin liquidity zones based on customizable volume and size parameters
Confidence Lifecycle Engine: Tracks institutional defense patterns through complete observation windows
Mathematical Processing Core: Uses sigmoid functions to convert raw market data into normalized confidence percentiles
Visual Enhancement Suite: Provides multiple smoothing methods and customizable display options for optimal chart interpretation
🔥 Key Features
Auto-Detection Technology: Automatically scans for institutional zones without manual intervention, saving analysis time
Dual Confidence Tracking: Simultaneously monitors both support and resistance institutional activity for comprehensive market view
Smart Zone Validation: Evaluates zone strength through volume analysis, adverse excursion measurement, and defense success rates
Customizable Parameters: Extensive input options for volume thresholds, observation windows, and visual preferences
Real-Time Updates: Continuously processes market data to provide current institutional confidence readings
Enhanced Visualization: Features gradient fills, momentum indicators, and information panels for clear signal interpretation
🎨 Visualization
Dual Oscillator Lines: Support confidence (cyan) and resistance confidence (red) plotted as percentage values 0-100%
Gradient Fill Areas: Color-coded regions showing confidence dominance and strength levels
Reference Grid Lines: Horizontal markers at 25%, 50%, and 75% levels for easy interpretation
Information Panel: Real-time display of current confidence percentiles with color-coded dominance indicators
Momentum Indicators: Rate of change visualization for confidence trends
Background Highlights: Extreme confidence level alerts when readings exceed 80%
📖 Usage Guidelines
Auto-Detection Settings
Use Auto-Detection
Default: true
Description: Enables automatic thin liquidity zone identification based on volume and size criteria
Volume Threshold Multiplier
Default: 6.0, Range: 1.0+
Description: Controls sensitivity of volume spike detection for zone identification, higher values require more significant volume increases
Volume MA Length
Default: 15, Range: 1+
Description: Period for volume moving average baseline calculation, affects volume spike sensitivity
Max Zone Height %
Default: 0.5%, Range: 0.05%+
Description: Filters out wide price bars, keeping only thin liquidity zones as percentage of current price
Confidence Logic Settings
Test Observation Window
Default: 20 bars, Range: 2+
Description: Number of bars to monitor zone tests for confidence calculation, longer windows provide more stable readings
Clean Break Threshold
Default: 1.5 ATR, Range: 0.1+
Description: ATR multiple required for zone invalidation, higher values make zones more persistent
Visual Settings
Smoothing Method
Default: EMA, Options: SMA/EMA/WMA/ALMA
Description: Algorithm for signal smoothing, EMA responds faster while SMA provides more stability
Smoothing Length
Default: 5, Range: 1-50
Description: Period for smoothing calculation, higher values create smoother lines with more lag
✅ Best Use Cases
Trending market analysis where institutional zones provide reliable support/resistance levels
Breakout confirmation by validating zone strength before position entry
Divergence analysis when confidence shifts between support and resistance levels
Risk management through identification of high-confidence institutional backing
Market structure analysis for understanding institutional sentiment changes
⚠️ Limitations
Performs best in liquid markets with clear institutional participation
May produce false signals during low-volume or holiday trading periods
Requires sufficient price history for accurate confidence calculations
Confidence readings can fluctuate rapidly during high-impact news events
Manual fallback zones may not reflect actual institutional activity
💡 What Makes This Unique
Automated Detection: First Pine Script indicator to automatically identify thin liquidity zones using sophisticated volume analysis
Dual-Sided Analysis: Simultaneously tracks institutional confidence for both support and resistance levels
Mathematical Precision: Uses sigmoid functions for enhanced accuracy in confidence percentage calculations
Real-Time Processing: Continuously evaluates institutional defense patterns as market conditions change
Visual Innovation: Advanced smoothing options and gradient visualization for superior chart clarity
🔬 How It Works
1. Zone Identification Process:
Scans for high-volume bars that exceed the volume threshold multiplier
Filters bars by maximum zone height percentage to identify thin liquidity conditions
Stores qualified zones with proximity threshold filtering for relevance
2. Confidence Calculation Process:
Monitors price interaction with identified zones during observation windows
Measures volume ratios and adverse excursions during zone tests
Applies sigmoid function processing to normalize raw data into confidence percentiles
3. Real-Time Analysis Process:
Continuously updates confidence readings as new market data becomes available
Tracks institutional defense success rates and zone validation patterns
Provides visual and numerical feedback through the oscillator display
💡 Note:
The ICO works best when combined with traditional technical analysis and proper risk management. Higher confidence readings indicate stronger institutional backing but should be confirmed with price action and volume analysis. Consider using multiple timeframes for comprehensive market structure understanding.
VPOC Harmonics - Liquidity-Weighted Price / Time RatiosVPOC Harmonics - Liquidity-Weighted Price / Time Ratios
Summary
This indicator transforms a swing’s price range, duration, and liquidity profile into a structured set of price-per-bar ratios. By anchoring two points and manually entering the swing’s VPOC (highest-volume price), it generates candidate compression values that unify price, time, and liquidity structure. These values can be applied to chart scaling, harmonic testing, and liquidity-aware market geometry.
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Overview
Most swing analysis tools only consider price (ΔP) and time (N bars). This script goes further by incorporating the VPOC (Point of Control) — the price with the highest traded volume — directly into swing geometry.
• Anchors define the swing’s Low (L), High (H), and bar count (N).
• The user manually enters the VPOC (highest-volume price).
• The indicator then computes a suite of ratios that integrate range, duration, and liquidity placement.
The output is a table of liquidity-weighted price-per-bar candidates, designed for compression testing and harmonic analysis across swings and instruments.
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How to Use
1. Select a Swing
- Place Anchor A and Anchor B to define the swing’s Low, High, and bar count.
2. Find the VPOC
- Apply TradingView’s Fixed Range Volume Profile tool over the same swing.
- Identify the Point of Control (POC) — the price level with the highest traded volume.
3. Enter the VPOC
- Manually input the POC into the indicator settings.
4. Review Outputs
- The table will display candidate ratios expressed mainly as price-per-bar values.
5. Apply in Practice
- Use the ratios as chart compression inputs or as benchmarks for testing harmonic alignments across swings.
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Outputs
Swing & Inputs
• Bars (N): total bar count of the swing.
• Low (L): swing low price.
• High (H): swing high price.
• ΔP = H − L: price range.
• Mid = (L + H) ÷ 2: midpoint price.
• VPOC (V): user-entered highest-volume price.
• Base slope s0 = ΔP ÷ N: average change per bar.
• π-adjusted slope sπ = (π × ΔP) ÷ (2 × N): slope adjusted for half-cycle arc geometry.
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VPOC Harmony Ratios (L, H, V, N)
• λ = (V − L) ÷ ΔP: normalized VPOC position within the range.
• R = (V − L) ÷ (H − V): symmetry ratio comparing lower vs. upper segment.
• s1 = (V − L) ÷ N: slope from Low → VPOC.
• s2 = (H − V) ÷ N: slope from VPOC → High.
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Blended Means (s1, s2)
These combine the two segment slopes in different ways:
• HM(s1,s2) = 2 ÷ (1/s1 + 1/s2): Harmonic mean, emphasizes the smaller slope.
• GM(s1,s2) = sqrt(s1 × s2): Geometric mean, balances both slopes proportionally.
• RMS(s1,s2) = sqrt((s1² + s2²) ÷ 2): Root-mean-square, emphasizes the larger slope.
• L2 = sqrt(s1² + s2²): Euclidean norm, the vector length of both slopes combined.
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Slope Blends
• Quadratic weighting: s_quad = s0 × ((V−L)² + (H−V)²) ÷ (ΔP²)
• Tilted slope: s_tilt = s0 × (0.5 + λ)
• Entropy-scaled slope: s_ent = s0 × H2(λ), with H2(λ) = −
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Curvature & Liquidity Extensions
• π-arc × λ: s_arc = sπ × λ
• Liquidity-π: s_piV = sπ × (V ÷ Mid)
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Scale-Normalized Families
With k = sqrt(H ÷ L):
• k (scale factor) = sqrt(H ÷ L)
• s_comp = s0 ÷ k: compressed slope candidate
• s_exp = s0 × k: expanded slope candidate
• Exponentiated blends:
- s_kλ = s0 × k^(2λ−1)
- s_φλ = s0 × φ^(2λ−1), with φ = golden ratio ≈ 1.618
- s_√2λ = s0 × (√2)^(2λ−1)
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Practical Application
All formulas generate liquidity-weighted price-per-bar ratios that integrate range, time, and VPOC placement.
These values are designed for:
• Chart compression settings
• Testing harmonic alignments across swings
• Liquidity-aware scaling experiments
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