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.
In den Scripts nach "liquidity" suchen
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.
QAIS Advanced Liquidity Hunter [HYBRID ALERT]I Qais Shah from Kalmeshwar, Nagpur. Have Unlock Institutional-Grade Strategies with the Advanced Liquidity Hunter
This powerful indicator is designed for serious traders seeking to capitalize on the same market mechanics used by institutional players. The Advanced Liquidity Hunter identifies high-probability reversal setups by detecting key market events: Liquidity Sweeps, Fair Value Gaps (FVG), and RSI Divergence, all filtered through a multi-timeframe analysis for maximum confluence.
🔍 What This Indicator Does:
Detects Liquidity Sweeps: Finds precise moments where price aggressively sweeps beyond a recent swing high or low to trigger stop orders (liquidity) and then rejects back into the range—a classic sign of institutional activity.
Identifies Fair Value Gaps (FVG): Highlights imbalanced areas on the chart where price is likely to return, providing excellent entry zones.
Multi-Timeframe RSI Divergence: Confirms momentum shifts by analyzing divergence not just on your current chart, but also on the higher 1-hour timeframe for stronger, more reliable signals.
Volume Spike Confirmation: Ensures the move is validated by a significant increase in trading volume, separating genuine moves from false breakouts.
Smart Alert System: Sends direct alerts to your phone or email when a perfect confluence of conditions is met, so you never miss a setup.
⚙️ How to Use It:
This is a Hybrid Quant-Discretionary tool. It does the heavy lifting of scanning the markets 24/7, but it requires your expert discretion for final execution.
Wait for the Alert: The indicator will send an alert when a high-quality setup is detected.
Confirm on Higher Timeframe (HTF): Open the chart. Check that the signal aligns with a major HTF support/resistance level, trend, or order block.
Execute Your Plan: Manually enter the trade using the provided logic, ensuring you implement strict risk management (1-2% of capital per trade).
🎯 Ideal For:
Swing Traders and Day Traders looking for high-quality, high-probability entries.
Those who understand and trade based on market structure, liquidity, and order flow.
Traders who prefer a disciplined, alert-based system over emotional decision-making.
📊 Key Features:
Fully Customizable: Adjust all parameters (ATR multiplier, RSI length, volume spike) to fit your trading style and the current market volatility.
Clear Visuals: Easy-to-see triangles and crosses plot the exact entry points and liquidity sweeps directly on your chart.
Non-Repainting: The logic uses confirmed closing prices to ensure signals do not repaint.
Disclaimer: This tool is designed to identify high-probability opportunities, not guaranteed wins. Always practice proper risk management and backtest the strategy before using real capital. Past performance is not indicative of future results.
PO3 Liquidity w/ CISD (DeadCat)Detailed Description:
What it does:
This indicator combines Power of Three (PO3) liquidity concepts with Change in State of Delivery (CISD) pattern recognition to identify high-probability trading setups. It automatically detects liquidity sweeps and confirms them through CISD patterns on higher timeframes.
How it works:
The script operates using a dual-timeframe approach:
Auto-Timeframe Selection: Automatically selects an appropriate higher timeframe based on your chart timeframe (1m→15m, 5m→1H, 15m→4H, etc.)
C2 Liquidity Detection: Identifies C2 setups when price sweeps below previous HTF lows (bullish) or above previous HTF highs (bearish), then closes back inside the previous range
CISD Pattern Recognition: Confirms C2 setups by detecting Change in State of Delivery patterns:
For bullish setups: Looks for bearish candles followed by bullish reclaim above the CISD level
For bearish setups: Looks for bullish candles followed by bearish rejection below the CISD level
Multi-Period Validation: Tracks setups across multiple HTF periods (up to 2 periods) before invalidation
Dynamic Zone Mapping: Creates trading zones between HTF open and equilibrium levels, with automatic C4 setup generation when conditions align
Key Features:
HTF Candle Visualization: Displays higher timeframe candles on your current chart for context
Trading Zones: Shows the optimal entry zone between HTF open and HTF equilibrium
CISD Confirmation Lines: Draws lines showing confirmed Change in State of Delivery levels
Setup Invalidation: Automatically marks setups as invalid (XC2/XC4) when stop levels are breached
Bias Filter: Allows filtering for bullish, bearish, or neutral bias
Real-time Countdown: Shows time remaining in current HTF period
Originality:
This script uniquely combines the Power of Three methodology with CISD pattern recognition in an automated format. Unlike simple liquidity sweep indicators, it requires confirmation through specific price action patterns and validates setups across multiple timeframes. The integration of automatic timeframe selection, zone mapping, and multi-period tracking creates a comprehensive tool that goes beyond basic liquidity concepts.
How to use it:
Apply to any timeframe (works best on 1m-4H charts)
Set your bias filter (Neutral for all setups, Bullish/Bearish for directional bias)
Wait for C2 labels to appear after liquidity sweeps
Look for confirmed CISD lines to validate the setup
Use the trading zones (boxes) for entry planning
Monitor for C4 setups on the second HTF period
Setup is invalidated if price hits the original sweep level (marked as XC2)
Warning:
This indicator uses higher timeframe data and may repaint on the current bar. Setups are only confirmed after HTF candle close. Not all C2 setups will be confirmed - confirmation requires proper CISD pattern development.
[c3s] CWS - M2 Global Liquidity Index & BTC Correlation CWS - M2 Global Liquidity Index with Offset BTC Correlation
This custom indicator visualizes and analyzes the relationship between the global M2 money supply and Bitcoin (BTC) price movements. It calculates the correlation between these two variables to provide insights into how changes in global liquidity may impact Bitcoin’s price over time.
Key Features:
Global M2 Liquidity Index Calculation:
Fetches M2 money supply data from multiple economies (China, US, EU, Japan, UK) and normalizes using currency exchange rates (e.g., CNY/USD, EUR/USD).
Combines all M2 data points and normalizes by dividing by 1 trillion (1e12) for easier visualization.
Offset for M2 Data:
The offset parameter allows users to shift the M2 data by a specified number of days, helping track the influence of past global liquidity on Bitcoin.
BTC Price Correlation:
Computes the correlation between shifted global M2 liquidity and Bitcoin (BTC) price, using a 52-day lookback period by default.
Correlation Quality Display:
Categorizes correlation quality as:
Excellent : Correlation >= 0.8
Good : Correlation >= 0.6 and < 0.8
Weak : Correlation >= 0.4 and < 0.6
Very Weak : Correlation < 0.4
Displays correlation quality as a label on the chart for easy assessment.
Visual Enhancements:
Labels : Displays dynamic labels on the chart with metrics like M2 value and correlation.
Plot Shapes : Uses shapes to indicate data availability for global M2 and correlation.
Data Table : Optionally shows a data table in the top-right corner summarizing:
Global M2 value (in trillions)
The correlation between global M2 and BTC
The correlation quality
Optional Debugging:
Debug plots help identify when data is missing for M2 or correlation, ensuring transparency and accurate functionality.
Inputs:
Offset: Shift the M2 data (in days) to see past liquidity effects on Bitcoin.
Lookback Period: Number of periods (default 52) used to calculate the correlation.
Show Labels: Toggle to show or hide labels for M2 and correlation values.
Show Table: Toggle to show or hide the data table in the top-right corner.
Usage:
Ideal for traders and analysts seeking to understand the relationship between global liquidity and Bitcoin price. The offset and lookback period can be adjusted to explore different timeframes and correlation strengths, aiding more informed trading decisions.
Trishul Tap Signals (v6) — Liquidity Sweep + Imbalanced RetestTrishul Tap Signals — Liquidity Sweep + Imbalanced Retest
Type: Signal-only indicator (non-repainting)
Style: Price-action + Liquidity + Trend-following
Best for: Intraday & Swing Trading — any liquid market (stocks, futures, crypto, FX)
Timeframes: Any (5m–1D recommended)
Concept
The Trishul Tap setup is a liquidity-driven retest play inspired by order-flow and Smart Money Concepts.
It identifies one-sided impulse candles that also sweep liquidity (grab stops above/below a recent swing), then waits for price to retest the origin of that candle to enter in the trend direction.
Think of it as the three points of a trident:
Trend filter — Only signals with the prevailing trend.
Liquidity sweep — Candle takes out a recent swing high/low (stop-hunt).
Imbalanced retest — Price taps the candle’s open/low (bull) or open/high (bear).
Bullish Setup
Trend Filter: Price above EMA(200).
Impulse Candle:
Green close.
Upper wick ≥ (wickRatio × lower wick).
Lower wick ≤ (oppWickMaxFrac × full range).
Liquidity Sweep: Candle’s high exceeds the highest high of the last sweepLookback bars (excluding current).
Tap Entry: Buy signal triggers when price later taps the candle’s low or open (user choice) within expireBars.
Bearish Setup
Trend Filter: Price below EMA(200).
Impulse Candle:
Red close.
Lower wick ≥ (wickRatio × upper wick).
Upper wick ≤ (oppWickMaxFrac × full range).
Liquidity Sweep: Candle’s low breaks the lowest low of the last sweepLookback bars (excluding current).
Tap Entry: Sell signal triggers when price later taps the candle’s high or open (user choice) within expireBars.
Inputs
Trend EMA Length: Default 200.
Sweep Lookback: Number of bars for liquidity sweep check (default 20).
Wick Ratio: Required size ratio of dominant wick to opposite wick (default 2.0).
Opposite Wick Max %: Opposite wick must be ≤ this fraction of the candle’s range (default 25%).
Tap Tolerance (ticks): How close price must come to the level to count as a tap.
Expire Bars: Max bars after setup to allow a valid tap.
One Signal per Level: If ON, a base is “consumed” after first signal.
Plot Tap Levels: Show horizontal lines for active bases.
Show Setup Labels: Mark the origin sweep candle.
Plots & Visuals
EMA Trend Line — trend filter reference.
Tap Levels —
Green = bullish base (origin candle’s low/open).
Red = bearish base (origin candle’s high/open).
Labels — Show where the setup candle formed.
Signals —
BUY: triangle-up below bar at bullish tap.
SELL: triangle-down above bar at bearish tap.
Alerts
Two built-in conditions:
BUY Signal (Trishul Tap) — triggers on bullish tap.
SELL Signal (Trishul Tap) — triggers on bearish tap.
Set via Alerts panel → Condition = this indicator → Choose signal type.
How to Trade It
Use in liquid markets with clean price structure.
Confirm with HTF structure, volume spikes, or other confluence if desired.
Place stop just beyond the tap level (or ATR-based).
Target 1–2R or trail behind structure.
Why It Works
Liquidity sweep traps traders entering late (breakout buyers or panic sellers) and forces them to exit in the opposite direction, fueling your entry.
Wick imbalance confirms directional aggression by one side.
Trend filter keeps you aligned with the market’s dominant flow.
Retest entry lets you enter at a better price with reduced risk.
Non-Repainting
Setups form only on confirmed bar closes.
Signals trigger only on later bars that tap the stored level.
No lookahead functions are used.
Disclaimer
This script is for educational purposes only and does not constitute financial advice. Test thoroughly in a simulator or demo before using in live markets. Trading involves risk.
SulLaLuna — HTF M2 x Ultimate BB (Fusion) 🌕 **SulLaLuna — HTF M2 x Ultimate BB (Fusion)** 🚀💵
**By SulLaLuna Trading**
(Portions of the Bollinger Band logic adapted with permission/credit from the *Ultimate Buy & Sell Indicator* by its original author — thank you for the brilliance!)
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🧭 **What This Is**
This is not just another price-following tool.
This is **a macro liquidity detector** — a **Daily Higher Timeframe Hull Moving Average of the Global M2 Money Supply**, smoothed via lower timeframe candles (default 5m, 48 Hull length), overlaid with **Ultimate-style double Bollinger Bands** to reveal *over-extension & mean reversion zones*.
It doesn’t chase candles.
It watches the tides beneath the market — the **money supply currents** that have a **direct correlation** to asset price behavior.
When liquidity expands → risk-on assets tend to rise.
When liquidity contracts → risk-off waves hit.
We ride those waves.
---
🔍 **What It Does**
* **Tracks Global M2** across major economies, FX-adjusted, and scales it to your chart’s price.
* **HTF Hull MA** (Daily, smoothed via 5m base) → gives you the macro liquidity trend.
* **Ultimate BB logic** applied to the HTF M2 Hull → inner/outer bands for volatility envelopes.
* **Pivot Labels** → ideal entry/exit zones on macro turns.
* **Over-Extension Alerts** → when HTF M2 Hull pushes outside the outer bands.
* **Re-Entry Alerts** → mean reversion triggers when liquidity moves back inside the range.
* **Background Paint** from chart TF M2 slope → for confluence on your entry timeframe.
---
📜 **Suggested How-To**
1. **Choose your execution chart** — e.g., 1–15m for scalps, 1H–4H for swings.
2. **Use the background paint** as your *local tide check* (chart TF M2 slope).
3. **Trade in the direction of the HTF M2 Hull** — green line = liquidity rising, red line = liquidity falling.
4. **Watch pivot labels** — these are potential “macro inflection” points.
5. **Confluence stack** — pair with ZLSMA, WaveTrend divergences, VWAP volume, or your favorite price-action setups.
6. **Size down** when HTF M2 Hull is flat/gray (chop zone).
7. **Scale in/out** on over-extension + re-entry alerts for higher probability swings.
---
⚠️ **Important Note**
This indicator **does not predict price** — it tracks macro liquidity flows that *influence* price.
Think of it as your market’s **tide chart**: when the water’s coming in, you can swim out; when it’s going out, you’d better be ready for the undertow.
---
📢 **Alerts Available**
* HTF Pivot HIGH / LOW
* Over-Extension (HTF Hull outside outer BB)
* Re-Entry (return from overbought/oversold)
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🤝 **Join the SulLaLuna Tribe**
If this indicator helps you capture better entries, follow & share so more traders can learn to trade *math, not emotion*.
We rise together — **and we’ll meet you on the Moon** 🌕🚀💵.
Real-Time Swing High/Low Detector with liquidity sweepThis script identifies the most important market structure points (swing highs/lows) and liquidity sweeps in a configurable and timeframe-adaptive manner.
By default:
It shows 5 recent swing highs and lows to keep your charts readable.
It detects and illustrates up to 3 Liquidity Sweeps (very close new highs/lows to earlier extremes).
It automatically adjusts how tight the sweep detection is based on your chart’s timeframe to balance precision and noise.
You can tweak all these numbers via the input settings panel to customize the indicator to your personal trading style and chart preferences
Configurable Parameters
Pivot Length (pivot_length)
What it does: Determines how many bars to the left and right the script looks at when identifying swing highs and lows.
Effect: Increasing this value results in fewer, more significant swings; decreasing it makes the indicator more sensitive and detects more swings.
Default: 5
Suggested: Adjust based on your trading timeframe and style to balance sensitivity and noise.
Show Labels (show_labels)
What it does: Toggles the display of swing labels such as HH, HL, LH, LL on the chart.
Effect: If enabled, the script marks swing points with their corresponding label for easier visual reference.
Default: true
Use: Turn off if you prefer a cleaner chart without textual swing indicators.
Show Current Levels (show_current_levels)
What it does: Toggles horizontal lines extending from the latest swing highs and lows.
Effect: Provides visual support/resistance zones on the chart.
Default: true
Use: Helpful for visualizing major price levels based on recent swings.
Max Swing Points (max_swings)
What it does: Limits the number of swing points stored and displayed.
Effect: Prevents chart clutter and performance issues by controlling history length.
Default: 20
Use: Increase for longer history; decrease for lighter charts.
Liquidity Sweep Threshold (liq_sweep_threshold_pc)
What it does: Defines the maximum percentage price difference allowed to consider a new high/low "very close" to the previous one, detecting a Liquidity Sweep.
Effect: Controls how sensitively the script detects these sweep points.
Default: Automatically set based on chart timeframe:
For timeframes below 1 hour: 0.05% (stricter, less tolerant)
For 1 hour and above: 0.1% (more tolerant)
Use: This dynamic setting ensures relevance of Liquidity Sweeps across different timeframes.
Liquidity Sweep Label Transparency (liq_sweep_alpha)
What it does: Controls the opacity of "Liquidity Sweep" labels, with 0 being fully opaque and 255 fully transparent.
Default: 10 (mostly opaque but slightly transparent)
Use: You can increase this value if you want the labels to be more subtle.
CHoCH + BOS + LQ Sweep v6.3.8 PRO+The CHoCH + BOS + LQ Sweep PRO indicator is a comprehensive Smart Money Concepts (SMC) tool designed to identify market structure shifts, liquidity sweeps, and key supply-demand zones across multiple timeframes. It helps traders visualize crucial price action patterns like Change of Character (CHoCH), Break of Structure (BOS), and liquidity grabs that often precede significant market reversals or continuations.
This tool is especially suited for traders applying multi-timeframe analysis and liquidity-based trading strategies on Forex, crypto, indices, or commodities.
1. Liquidity Sweeps (LQ Sweeps)
Identifies when price sweeps previous highs/lows (stop hunts/liquidity grabs).
Configurable strength setting to filter minor vs. major sweeps.
Optional stop at wick or stop at close logic for more precise entries.
Old sweeps can be displayed or hidden, with user-defined limits for historical sweeps.
2. Multi-Timeframe (HTF) Sweeps
Displays liquidity sweeps from higher timeframes (M15, H1, H4, D1, W1).
Individual checkboxes allow flexible combinations (e.g., show only H1 & H4 sweeps).
Unique colors for each timeframe to differentiate visually on the chart.
3. Supply/Demand Zones
Automatically plots zones around swing highs and lows.
Zones are dynamically updated and locked once price interacts with them.
Configurable view: Show both bullish/bearish zones or filter for one side only.
Option to display/hide old zones and limit the number of zones shown.
4. Historical Sweep Management
Stores up to 5000 sweeps internally, while adhering to TradingView’s rendering limits (max 500 drawn).
Ensures chart clarity by prioritizing the most recent sweeps.
Swing High/Low with Liquidity Sweeps🧠 Overview
This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events.
⚙️ Inputs
Swing Length (must be odd number ≥ 3):
Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range.
Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides.
Sweep Lookback (bars):
Defines how many bars to look back for possible liquidity sweeps.
Show Swing Labels (checkbox):
Optionally display labels on the chart when a swing high or low is detected.
Show Sweep Labels (checkbox):
Optionally display labels on the chart when a liquidity sweep occurs.
🕯️ Swing Detection Logic
A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length).
A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles.
Swing labels are placed slightly above (for highs) or below (for lows) the candle.
💧 Liquidity Sweep Logic
A Sweep High is triggered if:
The current high breaks above a previously detected swing high,
And then the candle closes below that swing high,
Within the configured lookback window.
A Sweep Low is triggered if:
The current low breaks below a previous swing low,
And then closes above it,
Within the lookback window.
These are often seen as stop hunts or fake breakouts.
🔔 Alerts
Sweep High Alert: Triggered when a sweep above a swing high occurs.
Sweep Low Alert: Triggered when a sweep below a swing low occurs.
You can use these to set up TradingView alerts to notify you of potential liquidity grabs.
📊 Use Cases
Identifying market structure shifts.
Spotting fake breakouts and potential reversals.
Assisting in smart money concepts and liquidity-based trading.
Supporting entry timing in trend continuation or reversal strategies.
IU Liquidity Flow TrackerDESCRIPTION
The IU Liquidity Flow Tracker is a powerful market analysis tool designed to visualize hidden buying and selling activity by analyzing price action, volume behavior, market pressure, and depth. It provides a composite view of liquidity dynamics to help traders identify accumulation, distribution, and neutral phases with high clarity.
This indicator is ideal for traders who want to gauge the flow of market participants and make informed entry/exit decisions based on the underlying liquidity structure.
USER INPUTS:
* Flow Analysis Period: Length used for analyzing price spread and volume flow.
* Pressure Sensitivity: Adjusts the sensitivity of threshold detection for flow classification.
* Flow Smoothing: Controls the smoothing applied to raw flow data.
* Market Depth Analysis: Sets the depth range for rejection and wick analysis.
* Colors: Customize colors for accumulation, distribution, neutral zones, and pressure visualization.
INDICATOR LOGIC:
The IU Liquidity Flow Tracker uses a multi-factor model to evaluate market behavior:
1. Liquidity Pressure: Combines price spread, price efficiency, and volume imbalance.
2. Flow Direction: Weighted momentum using short, medium, and long-term price changes adjusted for volume.
3. Market Depth: Wick-based rejection scoring to estimate buying/selling aggressiveness at price extremes.
4. Composite Flow Index: Blended value of flow direction, pressure, and depth—smoothed for clarity.
5. Dynamic Thresholds: Automatically adjusts based on volatility to classify the market into:
* Accumulation: Strong buying signals.
* Distribution: Strong selling signals.
* Neutral: No significant flow dominance.
6. Entry Signals: Long/Short signals are generated when flow state shifts, supported by momentum, volume surge, and depth strength.
WHY IT IS UNIQUE:
Unlike typical indicators that rely solely on price or volume, this tool combines spread behavior, volume polarity, momentum weighting, and price rejection zones into a single visual interface. It dynamically adjusts sensitivity based on market volatility, helping avoid false signals during sideways or low-volume periods.
It is not based on any traditional indicator (RSI, MACD, etc.), making it ideal for traders looking for an original and data-driven market read.
HOW USER CAN BENEFIT FROM IT:
* Understand Market Context: Know whether the market is being accumulated, distributed, or ranging.
* Improve Entries/Exits: Use flow transitions combined with volume confirmation for high-probability setups.
* Spot Institutional Activity: Detect subtle shifts in liquidity that precede major price moves.
* Reduce Whipsaws: Dynamic thresholds and multi-factor confirmation help filter noise.
* Use with Any Style: Whether you're a swing trader, day trader, or scalper, this tool adapts to different timeframes and strategies.
DISCLAIMER:
This indicator is created for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset. All trading involves risk, and users should conduct their own analysis or consult with a qualified financial advisor before making any trading decisions. The creator is not responsible for any losses incurred through the use of this tool. Use at your own discretion.
(ICT)Liquidity Grab + FVG + MSS/BOSThis script is a comprehensive educational indicator that combines and enhances several well-known trading concepts:
Liquidity Grabs (Swing Failure Patterns)
Fair Value Gaps (FVG)
Market Structure Shifts / Break of Structure (MSS/BOS)
Alerts
It identifies potential bullish and bearish liquidity grabs, confirms them optionally using volume validation on a lower timeframe, and tracks subsequent price structure changes. The indicator visually marks key swing highs/lows, FVG zones, and BOS/MSS levels—allowing traders to observe how price reacts to liquidity and imbalance zones.
🔍 Features:
Swing Failure Patterns (SFP):
Highlights possible liquidity grabs based on recent highs/lows and candle structure.
Volume Validation (Optional):
Filter signals using relative volume outside the swing on a lower timeframe. Adjustable threshold.
Fair Value Gaps (FVG):
Detects imbalance gaps and extends them for easy visualization.
Market Structure (MSS/BOS):
Displays Break of Structure (BOS) and Market Structure Shift (MSS) based on pivot highs/lows and closing conditions.
Dashboard:
A compact info panel displaying lower timeframe settings and validation status.
Custom Styling:
Adjustable colors, line styles, and label visibility for clean charting.
🧠 Ideal For:
Traders studying ICT concepts, smart money theories, and price-action-based strategies who want a visual tool for analysis and backtesting.
How to Use:
Wait for a Liquidity Grab (SFP) to form
The first condition for a potential entry is the formation of a Stop Hunt / Swing Failure Pattern (SFP).
This indicates that liquidity has been taken above or below a key level (e.g., previous high/low), and the market may be ready to reverse.
Confirmation with Fair Value Gap (FVG) and Market Structure Shift (MSS)
After the SFP, do not enter immediately. Wait for confirmation:
FVG : A Fair Value Gap (an imbalance in price action) must appear, signaling potential institutional activity.
MSS : A Market Structure Shift (break in the current trend) confirms a possible trend reversal or strong corrective move.
Enter the trade
Once both the FVG and MSS are confirmed after the SFP, you can safely enter a trade in the direction of the shift.
Alert Feature
The indicator includes an alert system to notify you when all conditions are met (SFP + FVG + MSS), so you can react quickly without constantly watching the chart.
Separators & Liquidity [K]Separators & Liquidity
This indicator offers a unified visual framework for institutional price behaviour, combining calendar-based levels, intraday session liquidity, and opening price anchors. It is specifically designed for ICT-inspired traders who rely on time-of-day context, prior high/low sweeps, and mitigation dynamics to structure their trading decisions.
Previous Day, Week, and Month Highs/Lows
These levels are dynamically updated and optionally stop projecting forward once mitigated. Mitigation is defined as a confirmed price interaction (touch or break), and labels visually adjust upon confirmation.
Intraday Session Liquidity Zones
Includes:
Asia Session (18:00–02:30 EST)
London Session (02:00–07:00 EST)
New York AM Session (07:00–11:30 EST)
New York Lunch Session (11:30–13:00 EST)
Each session tracks its own high/low with mitigation logic and duplicate filtering to avoid plotting overlapping levels when values are identical to previous session or daily levels.
Opening Price Anchors
Plots key opens:
Midnight (00:00 EST) (Customizable)
New York Open (09:30 EST) (Customizable)
PM Session Open (13:30 EST) (Customizable)
Weekly Open
Monthly Open
These levels serve as orientation for daily range expansion/contraction and premium/discount analysis.
Time Labels
Includes weekday markers and mid-month labels for better visual navigation on intraday and higher timeframes.
All components feature user-defined controls for visibility, line extension, color, label size, and plotting style. Filtering logic prevents redundant lines and maintains chart clarity.
Originality and Justification
While elements such as daily highs/lows and session ranges exist in other indicators, this script combines them under a fully mitigation-aware, duplicate-filtering, and session-synchronized logic model. Each level is tracked and managed independently, but drawn cooperatively using a shared visual and behavioral control system.
This script is not a mashup but an integrated tool designed to support precise execution timing, market structure analysis, and liquidity-based interpretation within ICT-style trading frameworks.
This version does not reuse any code from open-source scripts, and no built-in indicators are merged. The logic is independently constructed for real-time tracking and multi-session visualization.
Inspiration
This tool is inspired by core ICT concepts and time-based session structures commonly discussed in educational content and the broader ICT community.
It also draws conceptual influence from the TFO Killzones & Pivots script by tradeforopp, particularly in the spirit of time-based liquidity tracking and institutional session segmentation. This script was developed independently but aligns in purpose. Full credit is given to TFO as an inspiration source, especially for traders using similar timing models.
Intended Audience
Designed for traders studying or applying:
ICT’s core market structure principles
Power of Three (PO3) setups
Session bias models (e.g., AM reversals, London continuations)
Liquidity sweep and mitigation analysis
Time-of-day-based confluence planning
The script provides structural levels—not signals—and is intended for visual scaffolding around discretionary execution strategies.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
ICT SMC Liquidity Grabs and OBsICT SMC Liquidity Grabs + OB + Fibonacci OTE Levels
Smart Money Concepts Trading Assistant
This script is built for traders who follow ICT (Inner Circle Trader) and Smart Money Concepts. It intelligently combines three critical components of SMC trading: Liquidity Grabs, Order Blocks, and Fibonacci-based Optimal Trade Entry (OTE) zones — giving traders visual cues for potential high-probability reversals and entry points.
🔍 What This Script Does:
Detects Liquidity Grabs
Identifies swing highs/lows where price sweeps liquidity, then immediately reverses.
Labels them with orange markers when price takes out previous highs/lows but closes back inside.
Draws Order Blocks
After a liquidity grab, the script looks for strong bullish or bearish candles and automatically highlights the OB zone.
These OB zones are visualized with transparent colored boxes extending several bars forward.
Plots Fibonacci OTE Levels
Uses recent swing high/low pivots to dynamically draw customizable OTE retracement levels (e.g., 62% and 75%) for both long and short setups.
Highlights Optimal Entry Zones
Marks valid OTE-based buy/sell opportunities only when:
Liquidity has been taken,
Price enters the OTE zone,
And a strong confirming candle appears.
Adds visual zones, trade labels, and optional alerts for each qualified entry.
Includes Take Profit Targets
Automatically calculates take-profit levels based on previous structure and risk-reward ratios.
TP1 is the previous swing, and TP2 is an extended R-multiple (customizable by user).
⚙️ Customization Options:
Toggle each feature (Liquidity Grabs, OBs, Fibonacci Levels)
Adjust Fibonacci levels (default: 62% and 75%)
Set lookback period for liquidity checks
Customize the R-multiple for TP2 levels
💡 How to Use:
Enable desired features from the input panel.
Watch for Buy/Sell OTE zones highlighted in green/red.
Confirm with liquidity sweep and OB support for stronger signals.
Use the automatically generated TP levels to manage risk.
🚀 What Makes It Unique:
Unlike other open-source mashups, this script synchronizes multiple SMC concepts into a single tool that:
Waits for high-confidence conditions (not just blind fib or OB detection)
Validates entries using multiple confluences
Visually marks actionable setups
Automates trade management zones
Whether you're trend-trading, scalping, or swing trading ICT-style, this tool offers a streamlined, smart-money-aligned workflow directly on your chart.
Global Liquidity Index with Editable DEMA + 107 Day OffsetGlobal Liquidity DEMA (107-Day Lead)
This indicator visualizes a smoothed version of global central bank liquidity with a forward time shift of 107 days. The concept is based on the macroeconomic observation that markets tend to lag changes in global liquidity — particularly from central banks like the Federal Reserve, ECB, BOJ, and PBOC.
The script uses a Double Exponential Moving Average (DEMA) to smooth the combined balance sheets and money supply inputs. It then offsets the result into the future by 107 days, allowing you to visually align liquidity trends with delayed market reactions. A second plot (ROC SMA) is included to help identify liquidity momentum shifts.
🔍 How to Use:
Add this indicator to any chart (S&P 500, BTC, Gold, etc.)
Compare price action to the forward-shifted liquidity trend
Look for divergence, confirmation, or crossovers with price
Use as a macro timing tool for long-term entries/exits
📌 Included Features:
Editable DEMA smoothing length
ROC + SMA overlay for momentum signals
Fixed 107-day forward projection
Includes main DEMA and ROC SMA both real-time and shifted
Average Daily LiquidityIt is important to ensure sufficient stock trading liquidity so that you have sufficient volume to enter the trade and most importantly sufficient liquidity to exit the trade. Because daily trading liquidity can jump around so much by price changes and volume changes, it is important to smooth out the liquidity by using a moving average. Some use a 5 days (trading week) moving average, others use 10 day (2 weeks), 20 day ("month") and some use 65 day (quarter). The default is 10 days based upon the work of Colin Nicholson (The Aggressive Investor and Building Wealth in the Stock Market). Liquidity line changes color dependent upon the chart background luminescence. The amount you are planning to invest in a stock should have a liquidity of 10 (default) times that amount.
1H/3m Concept [RunRox]🕘 1H/3m Concept is a versatile trading methodology based on liquidity sweeps from fractal points identified on higher timeframes, followed by price reversals at these key moments.
Below, I will explain this concept in detail and provide clear examples demonstrating its practical application.
⁉️ WHAT IS A FRACTALS?
In trading, a fractal is a technical analysis pattern composed of five consecutive candles, typically highlighting local market turning points. Specifically, a fractal high is formed when a candle’s high is higher than the highs of the two candles on either side, whereas a fractal low occurs when a candle’s low is lower than the lows of the two adjacent candles on both sides.
Traders use fractals as reference points for identifying significant support and resistance levels, potential reversal areas, and liquidity zones within price action analysis. Below is a screenshot illustrating clearly formed fractals on the chart.
📌 ABOUT THE CONCEPT
The 1H/3m Concept involves marking Higher Timeframe (HTF) fractals directly onto a Lower Timeframe (LTF) chart. When a liquidity sweep occurs at an HTF fractal level, we remain on the same LTF chart (since all HTF fractals are already plotted on this lower timeframe) and wait for a clear Market Structure Shift (MSS) to identify our potential entry point.
Below is a schematic illustration clearly demonstrating how this concept works in practice.
Below is another 💡 real-chart example , showing liquidity in the form of a 1H fractal, swept by a rapid impulse move. Immediately afterward, a clear Market Structure Shift (MSS) occurs, signaling a potential entry point into the trade.
Another example is shown below, where we see our hourly fractal, from which price clearly reacts, providing an opportunity to search for an entry point.
As illustrated on the chart, the fractal levels from the higher timeframe are clearly displayed, but we’re working directly on the 5-minute chart. This allows us to remain on one timeframe without needing to switch back and forth between charts to spot such trading setups.
🔍 MTF FRACTALS
This concept can be applied across various HTF-LTF timeframe combinations. Although our examples illustrate 1H fractals used on a 5-minute chart, you can effectively utilize many other timeframe combinations, such as:
30m HTF fractals on 1m chart
1H HTF fractals on 3m chart
4H HTF fractals on 15m chart
1D HTF fractals on 1H chart
The key idea behind this concept is always the same: identify liquidity at fractal levels on the higher timeframe (HTF), then wait for a clear Market Structure Shift (MSS) on the lower timeframe (LTF) to enter trades.
⚙️ SETTINGS
🔷 Trade Direction – Select the preferred trading direction (Long, Short, or Both).
🔷 HTF – Choose the higher timeframe from which fractals will be displayed on the current chart.
🔷 HTF Period – Number of candles required on both sides of a fractal candle (before and after) to confirm fractal formation on the HTF.
🔷 Current TF Period – Sensitivity to the impulse that sweeps liquidity, used for identifying and forming the MSS line.
🔷 Show HTF – Enable or disable displaying HTF fractal lines on your chart. You can also customize line style and color.
🔷 Max Age (Bars) – Number of recent bars within which fractals from the selected HTF will be displayed.
🔷 Show Entry – Enable or disable displaying the MSS line on the chart.
🔷 Enable Alert – Activates TradingView alerts whenever the MSS line is crossed.
You can also enable 🔔 alerts, which notify you whenever price crosses the MSS line. This significantly simplifies the process of identifying these setups on your charts. Simply configure your preferred timeframes and wait for notifications when the MSS line is crossed.
🔶 We greatly appreciate your feedback and suggestions for improving the indicator!
Hidden LiquidityHidden Liquidity Indicator: Detecting Breaker Blocks and Hidden Order Blocks (HOBs)
The Hidden Liquidity Indicator is a powerful tool designed to assist traders in identifying breaker blocks and hidden order blocks (HOBs). By analyzing untouched candle bodies within order blocks, it provides a systematic approach to evaluating fair value gaps (FVGs) and order blocks based on engulfing candles.
Features of the Hidden Liquidity Indicator
This indicator effectively differentiates between complete HOBs, partial HOBs and partially mitigated HOBs (PMHOBs), allowing traders to assess market structure with precision. The key classifications include:
HOB (Hidden Order Block): The candle body fully aligns within the FVGs without being touched by wicks, establishing a strong and reliable breaker block.
PMHOB (Partial Mitigated Hidden Order Block) : The candle body is mitigated by less than 50%, making it a weaker version of the Hidden OB.
PHOBs (Partial Hidden Orderblock) : The candle body fits at least by 50% in the FVG making it also weaker than a common HOB
For an HOB to be considered valid, its equilibrium must be crossed by the FVGs, ensuring a focused and high-quality analysis of market structure.
Visualization and Market Structure Analysis
The Hidden Liquidity Indicator utilizes distinct color codes to enhance readability and clarity:
Bullish HOBs – Green
Bearish HOBs – Red
PMHOBs – Orange
PHOBs - Blue
Multi-Timeframe Analysis (MTF)
The indicator is capable of identifying HOBs,PHOBS and PMHOBs across all timeframes. Traders can seamlessly integrate their preferred timeframes by configuring the settings in TradingView.
Settings
You can choose wether you want the indicator to show PHOBs and PMHOBs
Why Use the Hidden Liquidity Indicator?
This indicator provides a structured and precise methodology for analyzing order blocks and breaker blocks. By focusing on untouched candle bodies and equilibrium levels, it offers a unique perspective on market structure that is often overlooked by traditional order block indicators. Its multi-timeframe analysis capability makes it an indispensable tool for traders seeking to refine their market strategy and enhance decision-making.
This guide serves as a comprehensive reference for optimizing the Hidden Liquidity Indicator, enabling traders to leverage its full potential for effective market analys
Killzones & Previous High-Low Liquidity [odnac]This indicator is designed for use in intraday trading to visualize key "Killzones" (specific time windows during different global market sessions) and highlight liquidity levels based on previous highs and lows from the previous day and week.
It helps traders identify potential market entry and exit points based on time-based trading zones and price action levels.
Key Features:
Killzone (Market Session Timeframes):
Asia (2000-0000 UTC): Displays a shaded box over the Asia trading session.
Europe (0200-0500 UTC): Highlights the European trading session.
New York AM (0830-1100 UTC): Represents the morning session of the NY market.
New York PM (1330-1600 UTC): Represents the afternoon session of the NY market.
Each of these timeframes can be customized in terms of session start and end times, and the shaded areas will help identify high liquidity periods when the market tends to be more active.
Previous High-Low Liquidity Zones:
Previous Week's High/Low: Displays lines at the high and low of the previous week.
These are important liquidity levels that can influence price action.
Previous Day's High/Low: Shows the high and low from the previous trading day.
These are also significant levels to watch for potential support and resistance.
Filters and Customization:
Position Filtering: The indicator allows users to filter out previous highs or lows if the current price doesn't align with those levels.
For example, it can filter out previous week highs if the current price is lower than that level.
Vertical Lines: Optional vertical lines to highlight key time points such as the start and end of the previous week and day.
How It Works:
The indicator visually draws "killzones" as shaded regions on the chart, indicating periods of increased market activity.
This can help traders align their strategies with the most liquid periods of the day.
The previous high and low lines (both for the previous week and the previous day) are drawn as solid lines and can be toggled on/off in the settings.
Labels are added to indicate the specific levels and periods.
The indicator provides clear visual cues, helping traders assess if the price is near important liquidity levels and whether the current market conditions align with those levels.
Customizable Settings:
You can control whether each Killzone and liquidity level is shown on the chart.
Color customization for the various zones and lines is also available.
The indicator also lets you decide whether to hide weekend data, set time-frame limits, and choose whether or not to show vertical lines at the beginning and end of each trading session.
This indicator is aimed at traders who want to trade based on high-liquidity periods and understand where key support and resistance levels are likely to emerge based on previous price action.
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
Continuous Multi-Factor Trend Oscillator with Rolling Liquidity
// **Overview**
This script generates a *Continuous Multi-Factor Trend Oscillator* that integrates multiple market dynamics, including **long-term trends**, **short-term trends**, **volume adjustments**, **volatility factors**, **ADX trend strength**, and **rolling liquidity**. The result is a smooth, dynamic oscillator that reflects comprehensive market conditions.
### **Key Features**
1. **Long-Term Trend Score (LT Score)**: Measures the deviation of price from its EMA, normalized by standard deviation. Captures broad trend direction.
2. **Short-Term Trend Score (ST Score)**: Evaluates the slope of a short-period EMA, normalized by ATR, to reflect shorter-term momentum.
3. **Volume Adjustment**: Adjusts trend scores based on the relative volume compared to its moving average.
4. **Volatility Adjustment**: Incorporates ATR into the scoring system, penalizing or boosting scores based on current volatility compared to historical norms.
5. **ADX Trend Strength**: Uses ADX to identify trend strength, scaling scores positively or negatively depending on whether the market is trending or ranging.
6. **Rolling Liquidity**: Analyzes persistent buying or selling pressure by aggregating net buy/sell liquidity over a rolling lookback period.
### **Calculation Workflow**
- **Inputs**: Configurable parameters like long/short periods, ATR period, ADX smoothing, and volume lookback.
- **Trend Scores**: LT and ST scores are computed separately to capture trend dynamics across different timeframes.
- **Adjustments**: Volume, volatility, ADX, and rolling liquidity adjustments are calculated and scaled appropriately.
- **Final Oscillator**: Combines all scores into a single value and applies smoothing for clarity.
### **How It Works**
1. *Long-Term and Short-Term Trends*: Trend scores are calculated based on EMAs and normalized using standard deviation or ATR.
2. *Volume and Liquidity Factors*: Incorporates net up/down volume and liquidity to reflect market participation levels.
3. *ADX Strength*: Distinguishes trending vs. ranging markets, influencing the oscillator direction accordingly.
4. *Final Output*: All factors are combined into a single oscillator, smoothed using an EMA.
### **Visualization**
- The oscillator is plotted as a continuous line with dynamic scaling:
- **Above 75**: *Very Bullish*
- **Below -75**: *Very Bearish*
- **Threshold Levels (50/-50, 10/-10)**: Provide additional interpretative guidance.
- **Labels**: Displays sentiment at the last bar for quick reference (e.g., *Strongly Bullish*, *Neutral*).
### **Use Cases**
- Ideal for identifying market conditions (bullish, bearish, neutral) based on multiple factors.
- Can serve as a confirmation tool alongside price action or other indicators.
### **Customizable Parameters**
- All periods (e.g., long-term, short-term, ATR, ADX) and lookbacks are adjustable, allowing fine-tuning based on market behavior and trading preferences.
How to use:
ICTProTools | ICT Insight - Market Environment🚀 INTRODUCTION
The Market Environment Indicator provides traders with an essential contextual framework for analyzing price movements. Built on the principles of ICT (Inner Circle Trader) and Smart Money Concepts (SMC), this tool offers a structured view of how institutional players drive markets through liquidity manipulation and price level interactions. By defining the market environment, the indicator helps traders focus on the most relevant price zones, reducing distractions and enhancing decision-making.
At its core, the Interbank Dealing Range (IBDR) creates a clear structure of protected highs/lows and Premium/Discount zones , highlighting key areas for potential price reactions. This framework gives traders a lens to interpret market behavior and concentrate on meaningful liquidity zones and price action. The indicator helps traders navigate the market with precision, spotting significant opportunities while filtering out market noise. Indeed, the IBDR isn't always easily identifiable, and not every move will form a distinct dealing range.
This indicator goes beyond mere price levels… It reveals the larger market context in which prices evolve. By mastering this environment, traders can align their strategies with institutional logic and make well-informed decisions.
💎 FEATURES
The Interbank Dealing Range (IBDR) is a crucial concept within the ICT methodology that helps traders identify the market environment across multiple timeframes, specifically the premium and discount zones. The IBDR delineates areas where traders have the potential to buy low and sell high.
Its extremes are defined by the sweep of both buy-side and sell-side liquidity . These levels indicate the boundaries within which price is expected to evolve . Understanding these boundaries allows traders to determine where it is appropriate to enter or exit trades.
The primary goal of utilizing the IBDR is to capitalize on price movements by buying at discounted levels and selling at premium levels. This strategy aligns with the fundamental principle of trading: to buy at lower prices and sell at higher prices, maximizing profit potential.
By visualizing the IBDR on your charts, you can gain valuable insights into the prevailing market conditions and make informed trading decisions that align with the institutional approach to buying and selling.
This chart illustrates the Interbank Dealing Range (IBDR) applied to the US100 index, displaying two from different timeframes: a 1-hour (1h) IBDR on the left and a 30-minute (30m) IBDR on the right. This multi-timeframe view provides essential context for price action analysis.
The 1h IBDR could here function as the primary reference range, establishing key boundaries (High and Low) for price movement. Within this range, the Equilibrium (midpoint) separates the Premium zone (above) from the Discount zone (below). The 0.25 and 0.75 levels add further precision by subdividing these zones.
Price action then flows between these zones, creating and targeting liquidity at higher and lower levels through Relative Equal Highs and Lows. A strong upward movement into the deeper level of the Premium Zone captures high-side liquidity (with a notable reaction at the FVG on the left), forming a secondary 30m IBDR. After this liquidity sweep, the remaining liquidity is on the low side. Price then reverses downward toward it. Here, the 30m IBDR would suggest a confirmation for a potential sell entry by targeting the IBDR lows.
The relationship between the broader 1h IBDR, the more detailed 30m IBDR, and all related levels creates a powerful analytical framework. The larger timeframe provides context, while the smaller one reveals specific trading opportunities by providing entry confirmations.
✨ SETTINGS
IBDR Metrics: Adjust the timeframe and sensitivity for calculating the IBDR so traders can adapt the indicator to both short-term intraday movements and longer-term trends.
Premium/Discount Zones: Customize the levels such as 0, 0.5, 1, and other levels like 0.25 and 0.75 by default and their displayed colors and associated labels.
Alerts: Configure the alerts for Premium/Discount zones, High/Low breaks, and new IBDR, ensuring traders are kept up to date on key market events.
🎯 CONCLUSION
The Market Environment indicator serves as a powerful tool for analyzing and navigating market structure through liquidity zones. It helps identify optimal buy and sell areas while aligning with the institutional logic of major market players. While its features provide a valuable edge, it’s essential to remember that none should be used on its own, and many more factors go into being a profitable trader.
