Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
스크립트에서 "liquidity"에 대해 찾기
Institutional Trap & Reversal [Premium]Retail traders often lose money because they chase "breakouts" that are actually Liquidity Traps set by institutional algorithms. This script is designed to solve that problem.
Unlike standard indicators that clutter your chart with lagging moving averages and noisy clouds, the Institutional Trap & Reversal runs a high-performance Background Algorithm to detect "Smart Money" activity. It keeps your chart 100% clean and only prints a signal when a high-probability reversal structure is confirmed.
How it Works (The Logic): The script utilizes a proprietary "Dual-Stage Verification" process to filter out false signals:
1. Liquidity Absorption: It detects specific candle geometries (Shadow-Excursion Ratios) where price aggressively breaks a level but fails to sustain momentum, trapping breakout traders.
2. Volumetric Pressure: It validates these traps using a relative volume anomaly detector to ensure institutions are active in the move.
3. Structural Delta: It analyses the net order-flow bias of the session (Displacement) to ensure the reversal aligns with the immediate market structure.
Key Premium Features:
a. Smart Resolution (Auto-Timeframe): The script automatically detects your chart timeframe and syncs with the correct Higher-Timeframe Trend (e.g., 5m Chart $\rightarrow$ 1H Trend). No manual adjustment needed.
b. Adaptive Baseline (KAMA): Uses a "Kaufman Adaptive" neural-smoothing algorithm to dynamically adjust trend filters based on market volatility, reducing noise during choppy conditions.
c. Institutional Visuals: Uses specific colour theory to reduce emotional trading errors:
Blue ⚡ (Demand): Institutional Accumulation Zone.
Orange ⚡ (Supply): Institutional Distribution Zone.
How to Use (Strategy) : This tool is designed as a "Setup Locator" with a built-in failure protocol. We recommend the Volume-Test Entry Method :
1. Wait for the Signal : Look for a Blue ⚡ (Buy Setup) or Orange ⚡ (Sell Setup).
2. Volume Validation (Crucial) : Do not enter immediately. Wait for the next candle to close with Lower Volume . This confirms that immediate pressure has paused.
3. Execution Protocols :
For a BUY Signal (Blue ⚡) :
a. Standard Entry : If price breaks the HIGH of the lower-volume candle, the trap is confirmed. Enter Long .
b. Failure Flip (Reversal) : If price instead breaks the LOW of the lower-volume candle, the Buy Trap has failed. Go Short immediately .
For a SELL Signal (Orange ⚡) :
a. Standard Entry : If price breaks the LOW of the lower-volume candle, the trap is confirmed. Enter Short .
b. Failure Flip (Reversal) : If price instead breaks the HIGH of the lower-volume candle, the Sell Trap has failed. Go Long immediately .
Why use the Failure Flip? A failed institutional trap often results in an explosive move in the opposite direction as trapped traders are forced to cover their positions.
4. Stop Loss : Place above/below the swing high/low of the setup structure.
Why is this Closed-Source? This script contains proprietary calculations for Volume Weighting and Adaptive Smoothing that protect the unique combination of filters used to generate these signals. It provides a professional-grade edge that standard open-source scripts cannot replicate.
Disclaimer: This tool is for educational analysis purposes only. Past performance does not guarantee future results.
Access & Updates: For access details, tutorials, and more information, please check the link in my TradingView Profile Bio or Signature below.
Effort-Result Divergence [Interakktive]The Effort-Result Divergence (ERD) measures whether volume effort is producing proportional price result. It quantifies the classic Wyckoff principle: when price moves easily, momentum is real; when price struggles despite heavy volume, absorption is occurring.
Think of ERD as "energy efficiency" for price movement — green means price is gliding, red means price is grinding.
█ WHAT IT DOES
• Measures volume EFFORT relative to average volume
• Measures price RESULT relative to ATR-normalized movement
• Computes ERD = Result minus Effort (each scaled 0-100)
• Flags statistical divergences via Z-score analysis
• Absorption events: high effort, low result (negative ERD)
• Vacuum events: low effort, high result (positive ERD)
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is educational only)
• NO performance claims or guarantees
This is a context tool for understanding market participation quality.
█ HOW IT WORKS
The ERD analyzes two dimensions of market activity and compares them.
EFFORT (Volume Intensity)
Compares current volume to a moving average baseline:
Effort Ratio = Volume ÷ SMA(Volume, Length)
Effort Score = clamp(100 × Effort Ratio ÷ Effort Cap)
High effort means above-average volume participation.
Low effort means below-average volume participation.
RESULT (Price Efficiency)
Measures how much price moved relative to expected volatility:
Result Ratio = |Close − Previous Close| ÷ ATR
Result Score = clamp(100 × Result Ratio ÷ Result Cap)
High result means price moved significantly for the volatility regime.
Low result means price barely moved despite market activity.
ERD SCORE
ERD = Result − Effort
• Positive ERD: Result exceeds effort → price moved easily (vacuum/thin liquidity)
• Negative ERD: Effort exceeds result → price struggled (absorption/accumulation)
• Near zero: Balanced effort-to-result relationship
STATISTICAL DIVERGENCE DETECTION
Z-score analysis identifies statistically significant extremes:
Z = (ERD − Mean) ÷ StdDev
• Absorption Event: Z ≤ −threshold (extreme negative ERD)
• Vacuum Event: Z ≥ +threshold (extreme positive ERD)
█ INTERPRETATION
GREEN BARS (Positive ERD)
Price moved with relatively little volume effort. This suggests:
• Thin liquidity / low resistance
• Strong directional interest
• Momentum is "real" — not forced
RED BARS (Negative ERD)
Heavy volume was used but price barely moved. This suggests:
• Absorption / accumulation occurring
• Large players opposing the move
• Inefficiency — someone is working hard for little result
THE KEY INSIGHT
When you see:
• Down moves = high effort (red spikes)
• Up moves = low effort (green bars)
This means: It's easier for price to go up than down.
That is asymmetric strength — classic bullish pressure.
The reverse (red on up moves, green on down moves) signals bearish pressure.
PRACTICAL RULES
Without any other indicators:
• Avoid shorting when ERD is mostly green and red spikes appear only on down candles
• Be cautious buying when ERD turns red on up candles (signals absorption of buying pressure)
• Vacuum events (extreme green) often precede continuation or pause — not violent reversal
• Absorption events (extreme red) often precede reversals or range formation
█ VOLUME DATA NOTE
This indicator uses the volume variable which represents:
• Exchange volume on stocks and futures
• Tick volume on Forex and CFD instruments
Tick volume is a proxy for activity, not actual exchange volume. The indicator remains useful on Forex as relative volume comparisons are still meaningful, but interpretation should account for this limitation.
█ INPUTS
Core Settings
• Volume Average Length: Baseline period for effort calculation (default: 20)
• ATR Length: Volatility normalization period (default: 14)
• Effort Cap: Volume ratio that maps to 100% effort (default: 3.0)
• Result Cap: ATR multiple that maps to 100% result (default: 1.0)
Divergence Detection
• Z-Score Lookback: Statistical analysis window (default: 100)
• Z-Score Threshold: Standard deviations for event flags (default: 2.0)
Visual Settings
• Show ERD Histogram: Toggle main display
• Show Zero Line: Toggle reference line
• Show Divergence Markers: Toggle event circles
• Show Effort/Result Lines: Display component breakdown
█ ORIGINALITY
While Wyckoff's effort-versus-result principle is well-established, existing implementations are typically:
• Purely visual with no quantification
• Pattern-based requiring subjective interpretation
• Not statistically normalized for comparison across instruments
ERD is original because it:
1. Normalizes both effort and result to 0-100 scales for direct comparison
2. Uses ATR for result normalization (adapts to volatility regime)
3. Applies statistical Z-score for objective divergence detection
4. Provides quantified output suitable for systematic analysis
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• Effort (0-100)
• Result (0-100)
• ERD Score
• Z-Score
• Absorption Event (1/0)
• Vacuum Event (1/0)
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Best on: Instruments with reliable volume data (stocks, futures, crypto)
Timeframes: All timeframes — interpretation adapts accordingly
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Wyckoff Volume Spread Analysis — conceptual foundation
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
Context Bundle | VWAP / EMA / Session HighLow (v6)
📌 0DTE Context Bundle (v6)
**VWAP • EMA Cloud • Session High/Low (NY / London / Asia)
The **0DTE Context Bundle** is a *decision-making overlay*, not a signal spam indicator.
It’s designed to help traders clearly see **value, trend, and liquidity levels** across **New York, London, and Asia sessions** — all in one clean, customizable tool.
Built for **NQ, ES, Gold, and FX pairs**, with a focus on **5–15-minute execution charts**.
---
## 🔹 What This Indicator Shows
### ✅ VWAP + ATR Bands
* Session VWAP (fair value)
* ATR-based extension bands (1x / 2x)
* Helps identify **overextension, mean reversion zones, and trend pullbacks**
### ✅ EMA 9 / 21 Cloud
* Visual trend and momentum filter
* Custom colors + opacity
* Identifies **trend continuation vs chop**
### ✅ Session High / Low Levels
* **New York RTH**
* **London**
* **Asia (midnight-safe)**
* Optional previous session highs/lows
* Adjustable line styles, widths, colors, and extensions
### ✅ Anchored VWAP (Optional)
* Reset by:
* Daily
* NY session start
* London session start
* Asia session start
* Useful for tracking **session-specific value shifts**
---
## 🔹 How Traders Use It
This indicator is meant to answer:
* *Are we trading at value or extension?*
* *Is the market trending or rotating?*
* *Where is liquidity likely sitting right now?*
Common use cases:
* Trend pullbacks into VWAP or EMA cloud
* Reversal setups at session highs/lows
* Session breakout + retest confirmation
* Overnight context for London and Asia sessions
---
## 🔹 Customization & Flexibility
Every component can be toggled and styled:
* Colors, widths, line styles
* Cloud up/down colors + opacity
* Session visibility and extensions
* VWAP band multipliers and ATR length
Members can adapt it to **their own style**, market, and timeframe.
---
## ⚠️ Disclaimer
This indicator is provided for **educational and informational purposes only**.
It does **not** provide financial advice or trade signals.
Always manage risk and confirm entries with your own strategy.
Institutional Trend & Liquidity Nexus [Pro]Concept & Methodology
The core philosophy of this script is "Confluence Filtering." It does not simply overlay indicators; it forces them to work together. A signal is only valid if it aligns with the macro trend and liquidity structure.
Key Components:
Trend Engine: Uses a combination of EMA (7/21) for fast entries and SMA (200) for macro trend direction. The script includes a logical filter that invalidates Buy signals below the SMA 200 to prevent counter-trend trading.
Liquidity Imbalance (FVG): Automatically detects Fair Value Gaps to identify areas where price is likely to react. Unlike standalone FVG scripts, this module is visually optimized to show support/resistance zones without obscuring price action.
Smart Confluence Zones (Originality):
The script calculates a background "State" based on multiple factors.
Bullish Zone (Green Background): Triggers ONLY when Price > SMA 200 AND RSI > 50 AND Price > Baseline EMA.
Bearish Zone (Red Background): Triggers ONLY when Price < SMA 200 AND RSI < 50 AND Price < Baseline EMA.
This visual aid helps traders stay out of choppy markets and only focus when momentum and trend are aligned.
█ How to Use
Entry: Wait for a "Triangle" signal (Buy/Sell).
Validation: Check the Background Color. Is it highlighting a Confluence Zone?
Example: A Buy Signal inside a Green Confluence Zone is a high-probability setup.
Example: A Buy Signal with no background color suggests weak momentum and should be taken with caution.
Targets: Use the plotted FVG boxes as potential take-profit targets or re-entry zones.
Imbalance Heatmap (Free) – pc75A clean, efficient visualisation of liquidity voids, 3-bar imbalances, and price inefficiency zones.
This indicator highlights where the market left gaps in the order flow — areas price often revisits to rebalance.
Imbalances are displayed as stacked horizontal “heatmap strips,” making it easy to see:
Where aggressive buying/selling left a void
Whether multiple voids overlap (stronger zones)
Whether price is likely to return to fill the imbalance
How old a void is (older zones are marked differently)
This is a refined v6 rewrite based on a script I liked, completely modernised with cleaner logic, better performance, and optional labels.
🔍 Features
3-bar liquidity void detection (ICT-style logic)
Bullish imbalance when price displaces upward with no wick overlap
Bearish imbalance for downward displacement
✔ Heatmap-style visualisation
Each imbalance is sliced into multiple thin horizontal bands to create a visual density effect.
✔ Stacking intelligence
If a new void overlaps previous ones, the heatmap is drawn brighter, showing areas where the market left multiple inefficiencies.
✔ “Void xN” labels
Optional labels show how many overlapping voids existed at the moment the imbalance formed.
✔ Automatic deletion when filled
As soon as price trades back through a slice, that slice is removed.
This keeps the chart clean and focuses only on active inefficiencies.
✔ Smart ageing
Older voids are marked with a subtle border so you can distinguish freshly formed inefficiencies from historical ones.
✔ Alerts
Set alerts for when price taps a stacked imbalance zone (“Void x2” and above).
⚙ Inputs & Customisation
ATR threshold (optional)
Minimum tick size gap
Number of heatmap slices
Bullish / bearish toggles
Label toggles
Colour and transparency configuration
Max slice memory for performance
💡 How to Use
Imbalance zones often behave as:
Magnets → price gravitates toward them
Support/resistance → structure respects inefficiencies
Continuity points → used with market structure shifts
Targets → for both scalpers and swing traders
Strong (stacked) voids typically represent areas of institutional displacement, where the market is more likely to return for rebalancing.
📢 Notes
This is the free version.
Educational only — not financial advice.
ICT Quant-Core: Liquidity Intelligence [Dual-Engine]🔥 THE ULTIMATE LIQUIDITY FILTERING ENGINE
Most SMC traders lose money because they "catch falling knives" on every local wick. This algorithm solves this problem by using DUAL-CORE logic and a signal quality scoring system.
This is no ordinary pivot indicator.
⚙️ HOW DOES IT WORK? (DUAL-CORE LOGIC)
The algorithm analyzes the market on two levels simultaneously:
1️⃣ MACRO CORE (Lookback 50 - "WHALE 🐋")
Tracks key levels from recent weeks/months.
This is where institutions build their positions.
Signals from this core have the highest priority (Score 10/10).
2️⃣ LOCAL CORE (Lookback 20 - "ROACH 🐟")
Tracks internal market structure and noise.
Signals are filtered by the Main Trend. If the trend is down, Local Longs are marked as "TRAP."
🧠 SMART FILTERS (QUANT LAYERS)
Instead of entering on every line touch, the script requires confirmation:
✅ RECLAIM LOGIC: Price must close back above/below the liquidity level (Swing Failure Pattern).
✅ RVOL FILTER: Requires relative volume > 1.2x the average (institutional track).
✅ SCORING SYSTEM (0-10): Each signal receives a score.
- 10/10: Macro Grab in line with the trend + high volume.
- 3/10: Local Grab against the trend (risky).
📊 ANALYTICAL DASHBOARD
In the lower right corner, you'll find the "Command Center":
- Trend Status (Distribution/Accumulation)
- Whale's Last Move (Price and Direction)
- Current Tactics (e.g., "Ignore Longs, Search for Shorts")
- Filter Status (RSI, Volume, Reclaim)
🚀 HOW TO USE IT?
1. Set the H4 timeframe.
2. Wait for a signal with a rating > 7/10.
3. Ignore "Fish/Local" signals (small icons) if they contradict the Dashboard color.
4. Entry occurs only after the candle closes (Reclaim).
Bayesian Liquidity Pain & Gain [Instit. Vol Weighted]Bayesian Liquidity Pain & Gain Indicator
Stop guessing where support and resistance are.
The Bayesian Liquidity Pain & Gain indicator moves beyond arbitrary lines and raw price action. It quantifies Institutional Intent by calculating the exact price levels where large volume has been accumulated and visualizes the "Pain" (stress) those participants feel when the market moves against them.
The Logic: Quantified Institutional Stress
Institutions don't trade single candles; they accumulate positions over time. This indicator tracks their Volume-Weighted Average Cost Basis to answer two critical questions:
Where did they enter? (The Cost Basis Lines)
Are they underwater? (The Pain Clouds)
By normalizing price distance using volatility (ATR) and statistical deviation (Z-Score), we filter out noise and only highlight zones where "Smart Money" is statistically forced to defend their positions or capitulate.
How to Read the Chart
1. The Cost Basis Lines (Anchors)
• 🟢 Green Line (Buyer Cost Basis): The average price where institutions accumulated long positions. This acts as dynamic Support.
• 🔴 Red Line (Seller Cost Basis): The average price where institutions accumulated short positions. This acts as dynamic Resistance.
2. The Pain Clouds (Signals)
When price moves significantly away from the cost basis (Z-Score > 2.0), "Clouds" appear to visualize the PnL status of the participants:
• 🔴 Red Cloud (Buyer Pain): Price is below the buyer's entry. Buyers are losing money (in the red). This creates a "Discount" zone where they may defend support.
• 🟢 Green Cloud (Seller Pain): Price is above the seller's entry. Sellers are losing money (shorts are squeezed). This indicates strong bullish momentum.
3. The Multi-Timeframe Dashboard
A real-time HUD showing the Z-Score status across 4 timeframes (1m, 5m, 15m, 1h):
• 🟢 Green: Profitable/Neutral (Trend Continuation)
• 🟠 Orange: Warning (Pressure Building)
• 🔴 Red: Critical Pain (High Probability Reversal)
Trading Strategies
Setup 1: The Defensive Bounce (Long)
• Context: Price drops into a 🔴 Red Cloud (Buyer Pain).
• Trigger: Price touches the 🟢 Green Line (Buyer Cost Basis) and shows a rejection wick.
• Logic: Institutional buyers defend their cost basis to avoid realizing losses.
Setup 2: The Short Squeeze (Momentum)
• Context: Price rallies into a 🟢 Green Cloud (Seller Pain).
• Trigger: Price holds above the 🔴 Red Line (Seller Cost Basis).
• Logic: Short sellers are trapped and forced to buy back (cover), fueling the rally.
Fractal Alignment:
For high-conviction trades, wait for the Dashboard to show "Pain" signals on both the 1h (Anchor) and 5m (Trigger) timeframes simultaneously.
Settings
• Memory Length (Default 144): The lookback period for the institutional cost basis. Increase for swing trading, decrease for scalping.
• Sigma Threshold (Default 2.0): The statistical confidence level for "Pain". Higher values = fewer, stronger signals.
• Volume Amp: When enabled, high volume amplifies the pain signal, giving more weight to institutional footprints.
Multi-Timeframe Liquidity ZonesXUAUSD 流动性清扫图 关闭自动调整参数，要求收盘回另一侧，重生流动性检测。高点回溯周期5
阈值0.03 数量50
XAUUSD Liquidity Sweep Chart: Disable automatic parameter adjustment, require closing on the opposite side, and regenerate liquidity detection. High point lookback period: 5. Threshold: 0.03. Quantity: 50.
RoseTree BTC Macro LiquidityThis indicator identies good entry and exit points for Bitcoin by comparing its market cap to the total global M2 money supply, while also factoring in macroeconomic trends.
Why It's Unique
- Combines macro liquidity (M2) with BTC valuation.
- Not price-based — more about where BTC stands in the bigger economic picture.
- Useful for long-term, macro-aware investors looking for timing signals aligned with monetary expansion.
✅ Buy Signal (Green Triangle Below Bar)
M2 is expanding (liquidity increasing), AND
Bitcoin is undervalued compared to its historical relationship to M2
→ Suggests potential upside, triggers a green triangle below the bar.
❌ Sell Signal (Red Triangle Above Bar)
Bitcoin is significantly above its historical average share of M2
→ Suggests overvaluation or a short-term top, triggers a red triangle above the bar.
What is Global M2 Money Supply? (GLM2)
M2 is a measure of money supply, including cash, checking deposits, and easily convertible near money.
This indicator manually aggregates M2 values from numerous countries and converts them into USD equivalents using exchange rates.
The countries include the US, EU, UK, China, India, Japan, Brazil, and many others — totaling over 20.
This tells you how large Bitcoin is relative to the global money supply, giving a sense of its macroeconomic footprint or potential room to grow.
Apex Trend & Liquidity Master with TP/SLThe Apex Trend & Liquidity Master is a systematic trading framework that identifies trend direction and key structural price levels for entry and exit decisions. The system uses a volatility-adaptive trend detection mechanism built on Hull Moving Averages with ATR-based bands to filter consolidation periods and isolate directional moves.
The liquidity detection engine identifies potential reversal zones by marking swing highs and lows that meet statistical significance thresholds. These zones represent areas where institutional order flow previously caused price rejection. Zones remain active until price closes through them, indicating mitigation of the level.
This implementation is an enhanced derivative of the original system with fully automated risk management. Stop losses are calculated using ATR multiples with entry candle wick protection as a minimum threshold, while take profits maintain a fixed 3:1 risk-reward ratio. An additional exit mechanism closes profitable positions when price reaches opposing supply or demand zones, providing early profit-taking at probable reversal points before full target completion.
Entry signals generate only on trend changes when volume exceeds average levels, reducing false breakouts in ranging conditions. The system includes complete position tracking with three distinct exit types: take profit hits, stop loss hits, and profitable zone contact exits. All calculations use confirmed historical data with no forward-looking bias, though supply/demand zone identification operates with a confirmation lag inherent to pivot point detection.
Alpha Net Liquidity Hunter Alpha Net Liquidity Hunter is an advanced trading tool designed to help traders detect potential liquidity grabs, false breakouts, and high-probability reversal zones. Inspired by institutional concepts such as stop hunts and market structure shifts (MSS), this indicator analyzes price action across multiple timeframes to highlight areas where smart money may be entering or exiting the market.
It also offers dynamic risk management tools like adaptive take-profit and stop-loss targets based on ATR, as well as visual entry/exit labels for clearer decision-making.
Structural Liquidity ZonesTitle: Structural Liquidity Zones
Description:
This script is a technical analysis system designed to map market structure (Liquidity) using dynamic, volatility-adjusted zones, while offering an optional Trend Confluence filter to assist with trade timing.
Concept & Originality:
Standard support and resistance indicators often clutter the chart with historical lines that are no longer relevant. This script solves that issue by utilizing Pine Script Arrays and User-Defined Types to manage the "Lifecycle" of a zone. It automatically detects when a structure is broken by price action and removes it from the chart, ensuring traders only see valid, fresh levels.
By combining this structural mapping with an optional EMA Trend Filter, the script serves as a complete "Confluence System," helping traders answer both "Where to trade?" (Structure) and "When to trade?" (Trend).
Key Features:
1. Dynamic Structure (The Array Engine)
Pivot Logic: The script identifies major turning points using a customizable lookback period.
Volatility Zones: Instead of thin lines, zones are projected using the ATR (Average True Range). This creates a "breathing room" for price, visualizing potential invalidation areas.
Active Management: The script maintains a memory of active zones. As new bars form, the zones extend forward. If price closes beyond a zone, the script's garbage collection logic removes the level, keeping the chart clean.
2. Trend Confluence (Optional)
EMA System: Includes a Fast (9) and Slow (21) Exponential Moving Average module.
Signals: Visual Buy/Sell labels appear on crossover events.
Purpose: This allows for "Filter-based Trading." For example, a trader can choose to take a "Buy" bounce from a Support Zone only if the EMA Trend is also bullish.
Settings:
Structure Lookback: Controls the sensitivity of the pivot detection.
Max Active Zones: Limits the number of lines to optimize performance.
ATR Settings: Adjusts the width of the zones based on volatility.
Enable Trend Filter: Toggles the EMA lines and signals on/off.
Usage:
This tool is intended for structural analysis and educational purposes. It visualizes the relationship between price action pivots and momentum trends.
1H & 15M Swing Liquidity BSL / SSL (Projected to Lower TFs)I created this script to plot 1H intermediate and 15m short term liquidity on the lower timeframe charts. Works best when used with high timeframe keylevels as a catalyst to move price to these liquidity zones.
Momentum Pulse Strategy v1How does this strategy work
1. It analyses current market condition based on moving averages and determines Bullish or Bearish market condition
2. Once we confirm the current market condition, we look for a specific type of candle that has taken the liquidity which is the C1 candle marked on chart
3. Next we look for failure of that liquidity and a candle that engulfs it which confirms the trade and automatically shows the entry,sl and take profits
4. We always enter on the next candle after confirmation which is confirmed by an arrow
Guide
Alerts for Bullish/Bearish market conditions, C1 and confirmation candle available
Master alert for All the conditions also available. On and off also available for all the alert types
All the visuals are customisable in settings
Customisable take profit levels
Entry is the Gold line. SL is the red line and green lines are the Tps
Backtest the trades given by the indicator and to know the max drawdown based on the asset and timeframe
For any other info contact me on tradingview
QuantFlow ProQuantFlow Pro
QuantFlow Pro is an advanced institutional indicator designed to detect bias shifts, liquidity imbalances, and real-time flow transitions.
Built on an adaptive architecture, it combines institutional flow analysis, multi-timeframe liquidity levels, and structural reference points to provide a clear and precise view of market dynamics.
Unlike conventional indicators that repaint or produce noisy signals, QuantFlow Pro relies on robust calculations based on volume, delta imbalance, and the detection of structural dislocations.
⚙️ Optimized for Futures markets, QuantFlow Pro helps traders identify market turning points with institutional precision and consistent reliability over time.
Global Liquidity Tracker (Open Data)This indicator displays a global liquidity and money supply estimate (M2), aggregated across major economies such as the United States, Eurozone, China, Japan, and the United Kingdom.
It provides a simple way to visualize global monetary expansion and contraction trends, helping identify key macroeconomic liquidity cycles.
Data is derived from public economic indicators available on TradingView and updated automatically.
Friday & Monday HighlighterFriday & Monday Institutional Range Marker — Know Where Big Firms Set the Trap!
🧠 Description
This indicator automatically highlights Friday and Monday sessions on your chart — days when institutional players and algorithmic firms (like Citadel, Jane Street, or Tower Research) quietly shape the upcoming week’s price structure.
🔍 Why Friday & Monday matter
Friday : Large institutions often book profits or hedge into the weekend. Their final-hour moves reveal the next week’s bias.
Monday : Big players rebuild positions, absorbing liquidity left behind by retail traders.
Together, these two days define the range traps and breakout zones that often control price action until midweek.
> In short, the Friday–Monday high and low often act as invisible walls — guiding scalpers, option sellers, and swing traders alike.
🧩 What this tool does
✅ Highlights Friday (red) and Monday (green) sessions
✅ Adds optional day labels above bars
✅ Works across all timeframes (best on 15min to 1hr charts)
✅ Helps you visually identify where institutions likely built their positions
Use it to quickly spot:
* Range boundaries that trap traders
* Gap zones likely to get filled
* High–low sweeps before reversals
⚙️ Recommended Use
1. Mark Friday’s high–low → Watch for liquidity sweeps on Monday.
2. When Monday holds above Friday’s high , breakout continuation is likely.
3. When Monday fails below Friday’s low , expect a reversal or trap.
4. Combine this with OI shifts, IV crush, and FII–DII flow data for confirmation.
⚠️ Disclaimer
This indicator is for **educational and analytical purposes only**.
It does **not constitute financial advice** or a trading signal.
Markets are dynamic — always perform your own research before trading or investing.
GLOBAL LIQUIDITY PROXY, G5 Total Liquidity (CBBS + M2) - USDG5 Total Liquidity (CBBS + M2) - USD
G5 (US, CN, EU, JP, GB)
Somma Balance Sheet Central Banks e M2 convertiti in USD
LSVR - Liquidity Sweep & Volume ReversalLSVR condenses a pro workflow into one visual overlay: Higher-Timeframe (HTF) Trend → Liquidity Sweep & Reclaim → Volume Confirmation. A signal only prints when all three gates align at bar close, and the chart shows everything you need—trend context, the sweep “trap” candle, and a projected Entry/SL/TP based on your chosen R multiple.
How it works
HTF Trend Filter: Projects a smoothed KAMA/EMA from a higher timeframe to the chart using a safe, lookahead-off request. Long signals are considered only above the HTF line; shorts only below.
Liquidity Sweep & Reclaim: Finds confirmed swing highs/lows, then detects an ATR-scaled overshoot through that swing followed by a reclaim (close back inside a configurable % of the bar range).
Volume Confirmation: Requires either a volume spike over Volume SMA × multiplier or optional OBV divergence. No participation = no signal.
Score: Each setup is scored: trend (0/1) + overshoot strength (0..1.5) + conviction (0/1). Signals fire only when the score ≥ Min Signal Score.
What you see
HTF Ribbon (subtle green/red backdrop) for bias.
Sweep Box on the signal candle (green = long, red = short).
Signal markers (“L” / “S”) with a small score label.
Projected lines that persist until the next signal: Entry (close), Stop (beyond swept swing), Target (R multiple).
Heatmap that intensifies when the score crosses your threshold.
Dashboard (top-right): HTF direction, Volume×SMA, current Score, gate pass status.
Tooltip on the last bar with quick stats.
Quick start
Apply to any liquid symbol and set HTF to ~3–6× your chart timeframe (e.g., 15m chart → 1H–4H).
Trade with the HTF trend: take L signals above the HTF line and S signals below it.
Entry = signal bar close, SL = beyond the swept swing, TP = your Projected Take-Profit (R).
Tighten or loosen selectivity with Min Signal Score, Reclaim %, Overshoot (ATR×), and Cooldown.
Recommended presets
Choppy/crypto 15m: minScore 1.25, reclaimPct 0.60–0.65, overshootATR 1.0–1.2, useOBVDiv=false, cooldown 8.
FX 5m / session trend: minScore 1.0–1.1, reclaimPct 0.50–0.55, overshootATR 0.8–1.0, useOBVDiv=true, cooldown 5.
Indices 1m (RTH): minScore 1.2, reclaimPct 0.55–0.60, useOBVDiv=false, cooldown 10.
Non-repainting by design
HTF values use lookahead_off with realtime offset.
Swings are confirmed pivots (no “forming” pivots).
Signals print at bar close only.
Notes
OBV divergence can add sensitivity on liquid markets; keep it off for stricter filtering.
Use Cooldown to avoid clustered sweeps.
This is an overlay/analysis tool, not financial advice. Test settings in Replay/Paper Trading before using live.
VWAP + Range Breakout (Pre-Signal for Manual Entry)WHAT IT DOES
This tool highlights potential breakout opportunities when price sweeps the previous day’s high or low and aligns with VWAP and short-term range levels. It provides both pre-signals (early warnings) and confirmed signals (breakout closed) so traders can prepare before momentum accelerates.
Works on all timeframes and across markets (indices, forex, crypto). Especially useful during active London and New York sessions.
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KEY FEATURES
Daily sweep logic: previous day high/low as liquidity reference
VWAP with cumulative calculation
Adjustable range breakout levels
Optional SMA trend filter
Session filter (London / NY trading hours)
Pre-Signal markers (early alert before breakout)
Confirmed LONG/SHORT signals after breakout close
Alerts for Pre-Long, Pre-Short, and Confirmed entries
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HOW TO USE
1. Wait for price to sweep the previous day high/low.
2. Look for alignment with VWAP and the defined range breakout levels.
3. Use trend/session filters for higher accuracy.
4. Combine with your own risk management rules.
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SETTINGS TIPS
Adjust range lookback for different timeframes (shorter for fast intraday, longer for higher timeframes).
Enable/disable session filters depending on your market.
Use SMA trend filter to stay aligned with higher-timeframe bias.
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WHO IT’S FOR
Scalpers, intraday, and swing traders who want early signals when liquidity is taken and price is preparing for a breakout.
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NOTES
For educational purposes only. No financial advice.
This script is open-source; redistribution follows TradingView rules.
[delta2win] Liquidity Zone Map🔥 Liquidity Zone Map — Volume‑normalized pivot zones with adaptive ATR scaling
📊 What it does:
• Detects potential liquidity/liquidation zones above confirmed highs and below confirmed lows
• Draws dynamic zones whose height scales with ATR and whose color intensity scales with volume
• Zones extend right and terminate on rule‑based events (midline cross)
🔬 How it works (core formulas):
• Pivot detection: ta.pivothigh/ta.pivotlow with length L
• Zone height: H = max(ATR(T) × M, MinTicks)
• Intensity (volume‑normalized):
– Z‑Score mode: I = clamp((V − μ) / (σ + ε), 0..1)
– Piecewise mode: I = clamp(V ≤ μ ? V/μ : (V − μ) / (Vmax − μ + ε), 0..1)
• Gradient color: col = Gradient(I) (start → mid → end)
• Zone life‑cycle:
– Creation on new pivot (top/bottom)
– Right edge follows bar_index
– Termination when with Mid = (Top+Bottom)/2, or optional TTL timeout
• Analysis range: global or constrained (Bars Back or ±% price window). Color scaling can be global or range‑scoped.
🆕 What’s new/different:
• Selectable volume normalization (Z‑Score or Piecewise)
• Timeframe‑adaptive ATR multiplier
• Range‑scoped vs. global color scaling
• Optional midlines, borders, info legend, scale legend
• Optional TTL termination for zones (lifetime in bars)
• Object management (cleanup/pooling) for performance
🧭 How to use (suggested presets):
• 1–5m: L=2, T=200, M=0.25, Range=Bars Back 1000, Intensity=Piecewise
• 15–60m: L=3, T=200, M=0.20, Range=Bars Back 1500, Intensity=Piecewise
• 4h+: L=4, T=200, M=0.20, Range=Off, Intensity=Z‑Score
⚙️ Settings:
• Pivot length L, ATR length T, multiplier M, MinTicks
• Opacity: base/auto (min/max)
• Range: Bars Back | Price Range ±% | Off
• Scaling: global vs. range‑scoped
• Midlines/borders/legends on/off
💡 Usage notes:
• Smaller L → more reactive, less robust
• Larger M → longer‑lasting zones
• On higher TFs, constrain "Bars Back" for performance
⚠️ Limitations:
• Non‑predictive; regime/volatility dependent
• Data quality impacts intensity computation
NY Internal & External Liquidity v2 kingNY Liquidity Sweeps
See where New York hunts.
AM & PM session boxes.
Buyside / Sellside liquidity lines.
Internal vs. External sweeps.
⚡ Catch the traps. Follow the grabs. Trade where the money hides.
