Quantura - Liquidity Sweep & Run LevelsIntroduction
“Quantura – Liquidity Sweep & Run Levels” is a structural price-action indicator designed to automatically detect swing-based liquidity zones and visualize potential sweep and run events. It helps traders identify areas where liquidity has likely been taken (sweep) or released (run), improving precision in market structure analysis and timing of entries or exits.
Originality & Value
This tool translates institutional liquidity concepts into an automated visual framework. Instead of simply marking highs and lows, it dynamically monitors swing points, tracks their breaches, and identifies subsequent reactions. The indicator is built to highlight the liquidity dynamics that often precede reversals or continuations.
Its originality lies in:
Automatic identification and tracking of swing highs and lows.
Real-time detection of broken levels and liquidity sweeps.
Distinction between “Run” and “Sweep” modes for different market behaviors.
Persistent historical visualization of liquidity levels using clean line structures.
Configurable signal markers for bullish and bearish sweep confirmations.
Functionality & Core Logic
Detects swing highs and lows using a user-defined Swing Length parameter.
Stores and updates all swing levels dynamically with arrays for efficient memory handling.
Draws horizontal lines from each detected swing point to visualize potential liquidity zones.
Monitors when price breaks a swing level and marks that event as “broken.”
Generates signals when the market either sweeps above/below or runs away from those levels, depending on the chosen mode.
Provides optional visual signal markers (“▲” for bullish sweeps, “▼” for bearish sweeps).
Parameters & Customization
Mode: Choose between “Sweep” (detects liquidity grabs) or “Run” (detects breakout continuations).
Swing Length: Sets the sensitivity for detecting swing highs/lows. A higher value focuses on larger structures, while smaller values detect micro liquidity points.
Bullish Color / Bearish Color: Customize color themes for sweep/run lines and signal markers.
Signals: Enables or disables visual up/down markers for confirmed events.
Visualization & Display
Horizontal lines represent potential liquidity levels (unbroken swing highs/lows).
Once broken, lines automatically stop extending, marking the moment liquidity is taken.
Depending on the selected mode:
“Sweep” mode identifies false breaks or stop-hunt behavior.
“Run” mode highlights breakouts that continue the trend.
Colored arrows indicate the direction and type of liquidity reaction.
Clean, non-intrusive visualization suitable for overlaying on price charts.
Use Cases
Detect liquidity sweeps before major reversals.
Identify breakout continuations after liquidity runs.
Combine with Supply/Demand or FVG indicators for multi-layered confirmation.
Validate liquidity bias in algorithmic or discretionary strategies.
Analyze market manipulation patterns and institutional stop-hunting behavior.
Limitations & Recommendations
This indicator identifies structural behavior but does not guarantee trade direction or profitability.
Works best on liquid markets with clear swing structures (e.g., crypto, forex, indices).
Signal interpretation should be combined with confluence tools such as volume, order flow, or structure-based filters.
Excessively small swing settings may cause over-signaling in volatile markets.
Markets & Timeframes
Optimized for all major asset classes — including crypto, Forex, indices, and equities — and for intraday to higher-timeframe structural analysis (5-minute up to daily charts).
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description fully complies with TradingView’s Script Publishing Rules and House Rules . It avoids performance claims, provides transparency on methodology, and clearly describes indicator behavior and limitations.
Smartmoney
Quantura - Fair Value GapIntroduction
“Quantura – Fair Value Gap” is a precision-engineered institutional concept indicator designed to automatically identify, visualize, and manage Fair Value Gaps (FVGs) across any market or timeframe. It enables traders to observe price inefficiencies, potential liquidity voids, and retracement areas that often act as magnets for price rebalancing.
Originality & Value
Unlike many public FVG scripts that only highlight candle gaps, this indicator integrates dynamic filters and adaptive logic to determine the strength and reliability of each gap. It merges overlapping zones intelligently and optionally extends valid imbalances forward for ongoing reference.
Its value lies in:
Dynamic statistical filtering based on gap standard deviation.
Optional volume confirmation for high-confidence FVGs.
Automatic merging of overlapping or adjacent gaps for clean visualization.
Support for both bullish and bearish imbalances.
Signal alerts when gaps are filled or rebalanced by price.
Functionality & Core Logic
Detects Fair Value Gaps by comparing candle-to-candle price displacement.
Applies a Gap Filter (standard deviation-based) to qualify valid gaps.
Optionally validates gaps formed under significant volume conditions.
Draws color-coded boxes to mark bullish (discount) and bearish (premium) inefficiencies.
Monitors each FVG until price fills the gap, at which point the box is visually closed.
Provides optional signal markers (“▲” or “▼”) when rebalancing occurs.
Parameters & Customization
Gap Filter: Sets the minimum statistical deviation required for a valid FVG. Higher values detect fewer, stronger gaps.
Volume Filter: Toggles additional validation using relative volume strength.
Volume Sensitivity: Adjusts how much above-average volume must be present to confirm a gap.
Bullish/Bearish Colors: Customize color schemes for imbalance zones.
Extend Gaps: Optionally extend open gaps forward for better confluence tracking.
Signals: Enables or disables gap-fill signal markers.
Visualization & Display
Bullish FVGs: Appear in blue-tinted boxes, indicating potential demand-side inefficiencies.
Bearish FVGs: Appear in red-tinted boxes, representing potential supply-side inefficiencies.
Overlapping zones are merged automatically to maintain clarity.
Filled gaps remain visible for historical context, allowing for post-event analysis.
Optional signal arrows display when price returns to rebalance an FVG.
Use Cases
Identify institutional inefficiencies and liquidity voids.
Detect premium and discount levels in trending markets.
Combine with market structure or order block indicators for confluence.
Track when price rebalances inefficiencies to refine entry/exit points.
Build FVG-based algorithmic strategies that rely on structural imbalance resolution.
Limitations & Recommendations
The indicator detects structural imbalances but does not predict future direction or guarantee profitability.
Volume filters may behave differently across brokers due to data-source differences.
Use alongside structure or liquidity tools for enhanced decision-making.
Extreme volatility or illiquid assets may generate temporary invalid gaps.
Markets & Timeframes
Compatible with all markets (crypto, forex, equities, indices, futures) and all timeframes. Recommended for multi-timeframe confluence analysis — e.g., detecting higher-timeframe FVGs and refining lower-timeframe entries.
Author & Access
Developed 100% by Quantura. Published as a Open-source script indicator. Access is free.
Compliance Note
This description adheres fully to TradingView’s House Rules and Script Publishing Requirements . It provides a detailed explanation of originality, core logic, limitations, and appropriate use — with no unrealistic or misleading performance claims.
R Dominant Range [CRT] by Sergi SernaR Dominant Range identifies the most influential R range located to the left of the current price action. It highlights the dominant zone that still impacts market behavior, helping traders understand which range is controlling the current structure.
Order Blocks & Market Structure (SMC)# Order Blocks & Market Structure (SMC)
## 📊 Overview
A Smart Money Concepts indicator that identifies institutional order blocks (OB), market structure breaks (MSB), and breaker blocks (BB) with volume-based strength analysis. Designed for traders seeking to identify institutional accumulation/distribution zones and market structure shifts.
## 🎯 Originality Statement
This indicator combines multiple analytical approaches into a unified system:
- **Multi-level OB strength classification** using volume spike detection and body ratio analysis (OB/OB+/OB++)
- **Automatic lifecycle tracking** that converts invalidated Order Blocks to Breaker Blocks with polarity reversal
- **Volume context integration** showing buyer/seller dominance percentage at block formation
- **Dynamic zone extension** that updates OB boundaries until price interaction or invalidation
- **Delayed touch alerts** (5-bar minimum) to filter premature retest signals
Unlike simple order block scripts that only mark zones, this tool provides strength assessment, volume analysis, and intelligent state management throughout the block lifecycle.
## ⚙️ Technical Methodology
**Market Structure Detection:**
Uses pivot-based swing point analysis to identify trend changes. When price closes above a pivot high (bullish MSB) or below a pivot low (bearish MSB), the structure is marked with horizontal reference lines.
**Order Block Identification:**
Searches the specified lookback period for the lowest low (bullish MSB) or highest high (bearish MSB). When a strong directional candle is found (opposite color to trend direction), its range becomes an OB zone.
**Strength Analysis:**
- Compares candle volume against 20-period SMA with configurable multiplier (1.2-3.0x)
- Calculates body-to-range ratio to assess candle strength (0.4-0.8 threshold)
- Assigns strength levels: Standard (no conditions), Strong (one condition), Premium (both conditions)
**Breaker Block Conversion:**
When price closes completely through an OB zone (bullish OB broken downward or bearish OB broken upward), the zone automatically converts to BB with reversed polarity and color.
## 📋 Features
**Market Structure (MSB):**
- Detects bullish and bearish structure breaks
- Configurable swing length (5-50 bars)
- Visual markers with horizontal lines
**Order Blocks (OB):**
- Three strength tiers: OB (standard), OB+ (strong), OB++ (premium)
- Volume percentage display (buyer vs seller dominance)
- Dynamic zone extension until invalidation
**Breaker Blocks (BB):**
- Automatic conversion from failed OBs
- Polarity tracking (bullish ↔ bearish)
- Fixed zones after conversion
## 🔧 Settings Documentation
**Market Structure Group:**
*Show Market Structure* - Enable/disable MSB detection and line drawing
- Default: ON
- When OFF: No structure lines or labels appear
*MSB Labels* - Display text labels at structure break points
- Default: ON
- Labels show "MSB" at the break candle
*Swing Length* - Lookback period for pivot point detection
- Range: 5-50 bars
- Default: 10
- Higher values = longer-term structure, fewer signals
- Lower values = short-term structure, more signals
*Bull Color* - Color for bullish elements (MSB, bullish OB, bullish BB)
- Default: #089981 (green)
*Bear Color* - Color for bearish elements (MSB, bearish OB, bearish BB)
- Default: #f23645 (red)
**Order Block Group:**
*Order Blocks* - Enable/disable OB detection and zone drawing
- Default: ON
- When OFF: No boxes appear (MSB lines still show if enabled)
*OB Strength* - Enable multi-level strength classification
- Default: ON
- When ON: Labels show OB/OB+/OB++ based on analysis
- When OFF: All zones labeled simply as "OB"
*Volume %* - Display buyer/seller volume percentage
- Default: ON
- Shows "X% Buy" or "X% Sell" inside zones
- Calculated over 10 bars from zone formation
*OB Lookback* - How many bars to search for OB candle
- Range: 5-30 bars
- Default: 10
- Searches for lowest low (bullish) or highest high (bearish) within this range
*Vol Threshold* - Minimum volume multiplier for strength upgrade
- Range: 1.2-3.0x
- Default: 1.5x
- Volume must exceed (20-period SMA × threshold) for OB+ or OB++
*Body Ratio* - Minimum body-to-range ratio for strength upgrade
- Range: 0.4-0.8
- Default: 0.6
- Candle body must be at least this proportion of total range for OB+ or OB++
## 📖 How to Use
**For Trend Following:**
1. Wait for MSB in your desired direction
2. OB forms in the breakout area (the institutional entry zone)
3. Price may immediately continue or pull back to retest OB
4. Enter on OB retest with "OB Touch" alert (after 5+ bars from creation)
5. Higher strength OB (OB+, OB++) indicates stronger institutional activity
**For Reversal Trading:**
1. Identify Breaker Blocks (former OBs that failed)
2. BB represents potential reversal zone with opposite polarity
3. Wait for MSB in BB direction for confirmation
4. Enter on pullback to BB zone
**Volume Analysis:**
- 70%+ Buy/Sell dominance = strong institutional bias
- 60-70% = moderate bias
- 50-60% = weak bias, use caution
**Optimal Conditions:**
- Works best on trending markets (4H, Daily, Weekly timeframes)
- Less effective in tight ranges or low-volume periods
- Major pairs/assets with good liquidity recommended
## 🔔 Alert Conditions (8 Types)
The indicator provides the following alerts:
1. **Bullish MSB** - Upward market structure break detected
2. **Bearish MSB** - Downward market structure break detected
3. **Bullish OB Created** - New bullish order block formed
4. **Bearish OB Created** - New bearish order block formed
5. **Bullish BB Created** - Bearish OB converted to bullish BB
6. **Bearish BB Created** - Bullish OB converted to bearish BB
7. **Bullish OB Touch** - Price revisited bullish OB (minimum 5 bars after creation)
8. **Bearish OB Touch** - Price revisited bearish OB (minimum 5 bars after creation)
Touch alerts include a 5-bar delay to avoid alerting on immediate continuation moves.
## ⚠️ Limitations & Risk Disclosure
**Known Limitations:**
- MSB signals can produce whipsaws in ranging or choppy markets
- Not all OB touches result in successful trades
- OB zones may be tested multiple times before activation
- Volume data may be unavailable or unreliable on some instruments/exchanges
- Strength analysis requires sufficient volume history
- Historical repainting: OB zones extend dynamically as price interacts with them
**Risk Considerations:**
This indicator is designed for educational and analytical purposes. It identifies potential institutional zones but does not predict price movement. Past identification of zones does not guarantee future trading success. OB and BB zones represent areas of interest, not guaranteed support/resistance. Always use proper risk management, combine with other analysis methods, and never risk more than you can afford to lose.
## 🎨 Visual Guide
**Colors & Symbols:**
- 🟢 Green boxes = Bullish Order Blocks / Bullish Breaker Blocks
- 🔴 Red boxes = Bearish Order Blocks / Bearish Breaker Blocks
- Horizontal lines = Market Structure Break levels
- "MSB" labels = Structure break points (above/below line)
- "OB" / "OB+" / "OB++" labels = Order Block strength (right side of box)
- "BB" labels = Breaker Block (converted from OB)
- "X% Buy/Sell" labels = Volume analysis (center of box)
**Box Behavior:**
- OB zones extend to the right as long as price interacts with them (not broken)
- When OB is invalidated, it stops extending and converts to BB
- BB zones remain fixed at their invalidation point
## 💡 Best Practices
- Focus on OB+ and OB++ zones for higher probability setups
- Confirm OB touches with price action (rejection wicks, engulfing patterns)
- Use multiple timeframe analysis (Daily OB + 4H entry)
- Avoid trading in the first 1-2 bars after OB creation (wait for touch alert)
- Consider volume % - avoid zones with <60% dominance
- Combine with other confluence factors (Fibonacci, support/resistance)
- Set realistic stop losses beyond the OB/BB zone
---
**Version:** 1.0
**Pine Script:** Version 6
**Category:** Smart Money Concepts, Order Flow, Market Structure
For questions or suggestions, use the TradingView comments section below.
OG FlowMasterOG FlowMaster is a precision tool designed to detect and visualize Imbalance Zones key areas where price moved inefficiently, leaving behind potential rebalancing points.
By tracking these institutional footprints, OG FlowMaster helps traders anticipate liquidity grabs, reversals, and continuation moves with clarity and confidence.
Whether you trade indices, forex, or commodities, it maps out the zones where price may seek balance between demand and supply turning invisible inefficiencies into visible trading opportunities.
🧠 Trade between the OGs. Master the Flow.
AEON | Liquidity HunterA visual tool for identifying high-probability liquidity zones across multiple timeframes and sessions.
Overview
Liquidity Hunter is a multi-timeframe, all market tool designed to help traders visualise areas where price may be drawn in search of resting liquidity. These liquidity zones often align with swing highs and lows, session extremes, or significant higher-time-frame reference points.
Rather than producing entry or exit signals, this indicator aims to support market behaviour analysis and contextual awareness.
Core Functions
The indicator identifies potential liquidity areas using four optional methods:
1. Current Time Frame Analysis – Automatically locates swing highs and lows based on a customisable setting for sensitivity and lookback depth.
2. Higher Time Frame Analysis – Uses the same logic as above, but projects liquidity zones from a selected higher time frame (HTF).
3. Session Highs & Lows – Highlights the Asian, London, New York, or user-defined session extremes where liquidity commonly pools.
4. Time-Based Highs & Lows – Marks the final bar of any higher time frame (for example, the last H4 or D1 candle) to show potential liquidity reference points.
Each method can be enabled or disabled independently and visually customised, allowing traders to tailor the display to their preferred style and time frame.
How to Use
When applied, the indicator plots horizontal levels representing potential liquidity pools. These levels persist until price engages with or mitigates them, at which point users can opt to modify their visual style or delete them as preferred.
Adjusting the sensitivity of the current and higher time frame levels may reflect the market's likelihood of treating them as targets or reversal points.
Many traders combine these levels with concepts such as market structure shifts, displacement, or fair-value gaps to build a narrative around price behaviour.
Disclaimer
This indicator is provided for educational and informational purposes only. It does not constitute financial advice or a trade signal. Past performance or visual confluence does not guarantee future results.
---
About the Author
Created by a passionate developer focused on algorithmic and quantitative concepts.
Synapse Dynamics - Market Structure📊 SYNAPSE DYNAMICS - MARKET STRUCTURE INDICATOR
An educational tool for learning and practicing Smart Money Concepts (SMC) methodology through visual representation of institutional price action patterns.
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🎯 WHAT THIS INDICATOR DISPLAYS
This indicator visualizes Smart Money Concepts patterns on your chart:
- Order Blocks (OB) - Supply and demand zones based on institutional order flow theory. The indicator identifies these areas using price action criteria including the final opposing candle before a strong directional move.
- Breaker Blocks - Failed order blocks that may act as support/resistance. These occur when an order block is invalidated but price returns to the zone, potentially reversing its role.
- Fair Value Gaps (FVG) - Three-candle imbalance patterns where price gaps create inefficiencies. The indicator marks these zones for reference in analysis.
- Market Structure - Break of Structure (BOS) and Change of Character (CHoCH) patterns based on swing high/low breaks. These help identify potential trend continuation or reversal points.
- Reference Entry Signals - The indicator calculates potential entry zones with accompanying stop loss and take profit reference levels based on order block and FVG locations. These are for educational reference only.
- Higher Timeframe Context - Optional filter that displays the higher timeframe trend direction to provide additional market context.
- Information Panel - On-screen dashboard showing active reference signals, their status, and relevant price levels.
- Swing Point Mapping - Labels recent higher highs (HH), higher lows (HL), lower highs (LH), and lower lows (LL) based on configurable swing detection parameters.
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⚙️ HOW IT WORKS
The indicator uses the following methodology:
**Order Block Detection:** Identifies the last opposing candle before a strong directional move that breaks structure. Filters blocks by size to reduce noise.
**Market Structure Analysis:** Tracks swing points and identifies when price breaks previous highs/lows to determine BOS or CHoCH patterns.
**Fair Value Gap Identification:** Detects three-candle patterns where candle 1's high/low doesn't overlap with candle 3's low/high, creating an imbalance zone.
**Reference Signal Generation:** Combines order block proximity, FVG presence, and market structure breaks to suggest potential study areas. Optional HTF trend filter can be enabled.
**Timeframe Adaptation:** Automatically adjusts swing detection sensitivity based on the chart timeframe (using multipliers for intraday vs. higher timeframes).
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📚 EDUCATIONAL PURPOSE & IMPORTANT LIMITATIONS
**This indicator is designed as an educational tool for:**
- Learning Smart Money Concepts methodology
- Practicing pattern recognition
- Understanding institutional price action theories
- Analyzing market structure visually
**Critical Understanding:**
- All signals and levels are REFERENCE POINTS for study - not trading recommendations
- The indicator displays patterns based on historical price action - it cannot predict future movements
- Smart Money Concepts is a theoretical framework - market behavior varies
- Backtested or historical results shown do not guarantee future performance
- No indicator can account for all market variables, news events, or changing conditions
**Proper Use:**
This tool is meant to assist in learning technical analysis concepts. Users must develop their own analysis skills, risk management strategies, and trading plans. The displayed patterns require interpretation within broader market context.
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⚙️ CUSTOMIZATION OPTIONS
**Adjustable Parameters:**
- Order Block: Minimum size threshold, maximum count displayed
- Fair Value Gaps: Toggle visibility, maximum count
- Market Structure: Swing detection length, BOS/CHoCH display
- Signals: Entry/SL/TP calculation method, HTF filter toggle
- Visual Settings: Colors, line styles, label sizes, panel position
**Timeframe Compatibility:**
Works on all timeframes from 1-minute to monthly charts. The swing detection automatically scales based on timeframe.
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⚠️ DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. Trading involves substantial risk of loss. Past patterns and historical analysis do not indicate future results. Users are responsible for their own trading decisions and risk management. The author assumes no liability for trading losses.
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🔧 ALERT FUNCTIONALITY
Built-in alert conditions notify you when:
- New order blocks are detected
- Market structure changes occur (BOS/CHoCH)
- Reference entry signals appear
Configure alerts through TradingView's alert system.
ICT SMART MONEY__Advanced Multi-Timeframe Target TREND indicator with comprehensive ICT (Inner Circle Trader) concepts, session analysis, and smart money concepts for professional forex and crypto trading.__
---
### __🔥 Core Features:__
#### __📈 Multi-Timeframe Analysis__
- __7 Timeframe Table__: 1min, 5min, 15min, 30min, 1hour, 4hour, Daily analysis
- __Target System__: Stop Loss, Entry, TP1, TP2, TP3 calculations for each timeframe
- __Trend Direction__: Visual arrows showing bullish/bearish bias across all timeframes
#### __⚡ ICT Killzone Sessions__
- __4 Major Sessions__: Asia KZ, London KZ, NY AM, NY PM with colored session boxes
- __Pivot Lines__: Automatic high/low detection with full format labels ("ASIA High", "LONDON Low")
- __Global Label Alignment__: All session labels perfectly aligned for professional appearance
- __Range Analytics__: Real-time pip calculations with historical averages and Turkish volatility analysis
#### __🌍 Trading Session Management__
- __Individual Controls__: Asia/London sessions auto-enabled, NY sessions optional
- __Horizontal Lines__: Clean session high/low tracking without clutter
- __NY Lunch Session__: Additional 11:30-13:30 session for advanced analysis
- __Session Transparency__: Adjustable transparency levels for optimal chart visibility
#### __📍 Professional Key Levels__
- __Monday High/Low__: Weekly opening reference levels
- __Previous Day High/Low__: Daily support/resistance zones
- __Previous Week High/Low__: Major weekly levels
- __Full Format Labels__: "Previous Day High" instead of "PDH" for crystal clarity
- __160 Bar Distance__: Optimized label positioning for clean charts
#### __🔗 Liquidity Trendlines__
- __Automatic Detection__: 8-bar lookback pivot detection system
- __Breakout Signals__: Visual alerts when trendlines are broken
- __Dynamic Padding__: 4.0 ATR-based trendline spacing
- __Bullish/Bearish Colors__: Clear color coding for trend direction
#### __💎 Smart Money Concepts (SMC)__
- __Fair Value Gaps (FVG)__: Automatic gap detection with mitigation tracking
- __Structure Analysis__: BOS (Break of Structure) and CHoCH (Change of Character) detection
- __Structure Fibonacci__: 5-level fibonacci retracements (78.6%, 70.5%, 61.8%, 50%, 38.2%)
- __Lifecycle Management__: Complete FVG and structure history tracking
#### __📊 Range Analytics Table__
- __Session Volatility__: Current pip movement vs historical averages
- __Turkish Analysis__: "Güçlü Momentum", "Yüksek Aktivite", "Normal Aktivite", "Düşük Hareket", "Zayıf Session"
- __Integrated Display__: Seamlessly positioned below multi-timeframe table
- __Professional Formatting__: Color-coded session identification with status analysis
Smart Volume Imbalance (SVI) — Lower Panel (MNQ tuned)How to use & interpret (quick guide — tuned for MNQ)
What SVI shows
SVI > 0 — price move is directionally efficient with supportive volume (bullish smart flow).
SVI < 0 — price move is directionally efficient with selling pressure (bearish smart flow).
Large |SVI| (default threshold ±1.5) indicates institutional-strength moves worth respecting.
Absorption (orange/yellow marker): high volume but small candle body → potential smart accumulation/distribution (often precedes directional moves).
Primary signals
Entry (momentum): SVI crosses above +svThresh on pullbacks aligned with trend (use price structure to confirm).
Fade / Short: SVI falls below -svThresh at or near resistance, especially with bearish divergence.
Divergence: Price makes higher high but SVI makes lower high → likely smart-money sell; be cautious.
Default parameter reasoning for MNQ
volLen = 20, spreadLen = 20 — balances responsiveness and noise for a fast future.
normLen = 50, smoothLen = 8 — reduces tick noise but still responsive to MNQ spikes.
absorbVolMul = 1.8 — flags volume ~80% above average as significant; tweak if your data source reports higher/lower baseline.
Tuning tips
If you see too many false signals, increase normLen or smoothLen (more smoothing).
If you want earlier signals (more noise), lower smoothLen and normLen.
For lower-timeframes (1s/1m) you may need shorter SMAs; for higher-timeframes (5m+) defaults often work well.
Practical workflow
Use SVI in a separate lower panel while trading MNQ on your preferred timeframe (1m–5m are common).
Combine SVI with structure: only take bullish SVI signals above a prior structure support / after CHoCH, etc.
Watch absorption zones near highs/lows — they often signal where smart money is stepping in/out.
Smart Money Dynamics Blocks - Pearson MatrixSmart Money Dynamics Blocks — Pearson Matrix
A structural fusion of Prime Number Theory, Pearson Correlation, and Cumulative Delta Geometry.
1. Mathematical Foundation
This indicator is built on the intersection of Prime Number Theory and the Pearson correlation coefficient, creating a structural framework that quantifies how price and time evolve together.
Prime numbers — unique, indivisible, and irregular — are used here as nonlinear time intervals. Each prime length (2, 3, 5, 7, 11…97) represents a regression horizon where correlation is measured between price and time. The result is a multi-scale correlation lattice — a geometric matrix that captures hidden directional strength and temporal bias beyond traditional moving averages.
2. The Pearson Matrix Logic
For every prime interval p, the indicator calculates the linear correlation:
r_p = corr(price, bar_index, p)
Each r_p reflects how closely price and time move together across a prime-defined window. All r_p values are then averaged to create avgR, a single adaptive coefficient summarizing overall structural coherence.
- When avgR > 0.8 → strong positive correlation (labeled R+).
- When avgR < -0.8 → strong negative correlation (labeled R−).
This approach gives a mathematically grounded definition of trend — one that isn’t based on pattern recognition, but on measurable correlation strength.
3. Sequential Prime Slope and Median Pivot
Using the ordered sequence of 25 prime intervals, the model computes sequential slopes between adjacent primes. These slopes represent the rate of change of structure between two prime scales. A robust median aggregator smooths the slopes, producing a clean, stable directional vector.
The system anchors this slope to the 41-bar pivot — the median of the first 25 primes — serving as the geometric midpoint of the prime lattice. The resulting yellow line on the chart is not an ordinary regression line; it’s a dynamic prime-slope function, adapting continuously with correlation feedback.
4. Regression-Style Parallel Bands
Around this prime-slope line, the indicator constructs parallel bands using standard deviation envelopes — conceptually similar to a regression channel but recalculated through the prime–Pearson matrix.
These bands adjust dynamically to:
- Volatility, via standard deviation of residuals.
- Correlation strength, via avgR sign weighting.
Together, they visualize statistical deviation geometry, making it easier to observe symmetry, expansion, and contraction phases of price structure.
5. Volume and Cumulative Delta Peaks
Below the geometric layer, the indicator incorporates a custom lower-timeframe volume feed — by default using 15-second data (custom_tf_input_volume = “15S”). This allows precise delta computation between up-volume and down-volume even on higher timeframe charts.
From this feed, the indicator accumulates delta over a configurable period (default: 100 bars). When cumulative delta reaches a local maximum or minimum, peak and trough markers appear, showing the precise bar where buying or selling pressure statistically peaked.
This combination of geometry and order flow reveals the intersection of market structure and energy — where liquidity pressure expresses itself through mathematical form.
6. Chart Interpretation
The primary chart view represents the live execution of the indicator. It displays the relationship between structural correlation and volume behavior in real time.
Orange “R+” and blue “R−” labels indicate regions of strong positive or negative Pearson correlation across the prime matrix. The yellow median prime-slope line serves as the structural backbone of the indicator, while green and red parallel bands act as dynamic regression boundaries derived from the underlying correlation strength. Peaks and troughs in cumulative delta — displayed as numerical annotations — mark statistically significant shifts in buying and selling pressure.
The secondary visualization (Prime Regression Concept) expands on this by illustrating how regression behavior evolves across prime intervals. Each colored regression fan corresponds to a prime number window (2, 3, 5, 7, …, 97), demonstrating how multiple regression lines would appear if drawn independently. The indicator integrates these into one unified geometric model — eliminating the need to plot tens of regression lines manually. It’s a conceptual tool to help visualize the internal logic: the synthesis of many small-scale regressions into a single coherent structure.
7. Interpretive Insight
This model is not a prediction tool; it’s an instrument of mathematical observation. By translating price dynamics into a prime-structured correlation space, it reveals how coherence unfolds through time — not as a forecast, but as a measurable evolution of structure.
It unifies three analytical domains:
- Prime distribution — defines a nonlinear temporal architecture.
- Pearson correlation — quantifies statistical cohesion.
- Cumulative delta — expresses behavioral imbalance in order flow.
The synthesis creates a geometric analysis of liquidity and time — where structure meets energy, and where the invisible rhythm of market flow becomes measurable.
8. Contribution & Feedback
Share your observations in the comments:
- The time gap and alternation between R+ and R− clusters.
- How different timeframes change delta sensitivity or reveal compression/expansion.
- Prime intervals/clusters that tend to sit near turning points or liquidity shifts.
- How avgR behaves across assets or regimes (trending, ranging, high-vol).
- Notable interactions with the parallel bands (touches, breaks, mean-revert).
Your field notes help others read the model more effectively and compare contexts.
Summary
- Primes define the structure.
- Pearson quantifies coherence.
- Slope median stabilizes geometry.
- Regression bands visualize deviation.
- Cumulative delta locates imbalance.
Together, they construct a framework where mathematics meets market behavior.
Equinox Wolf - ICT MacrosEquinox Wolf – ICT Macros plots the key ICT session macro windows on your chart so you can focus on how price behaves inside each time range. The script anchors every session to America/New_York time, updates live or in backtesting, and only keeps the current trading day on screen, avoiding clutter from prior sessions. Each window can be toggled individually, the box fill, borders, and high/low/equilibrium levels share global color and style controls, and the levels extend forward until the next macro begins. Use it to highlight the ICT LND, NYAM, lunch, afternoon, and final-hour ranges and monitor how price reacts around their highs, lows, and midpoints.
AlphaFlow - Trend DetectorOVERVIEW
AlphaFlow identifies and tracks large volume moves by combining volume analysis, price impact measurement, and conviction scoring to separate significant institutional moves from normal trading activity. Rather than just flagging high volume, this indicator evaluates whether large trades actually moved the market and assigns conviction levels based on multiple confirmation factors.
WHAT MAKES THIS ORIGINAL
This is not simply a volume indicator or volume-weighted price tracker. The originality lies in the multi-factor conviction scoring system that evaluates whether large volume moves represent genuine institutional conviction or just noise.
Key Differentiators:
- Combines volume ratio AND price impact (volume alone doesn't mean conviction)
- Conviction scoring system that weighs trend alignment, follow-through, and volume persistence
- Cumulative flow tracking that shows persistent directional pressure over time
- Market regime detection (bullish/bearish/sideways) based on flow dynamics
- Tiered signal system (EXTREME/HIGH/MEDIUM conviction) rather than binary signals
This approach solves the problem of volume spikes that don't lead to meaningful price action, or price moves on low volume that don't persist.
HOW IT WORKS
1. Whale Detection Engine:
Volume Qualification: Compares current volume to a rolling average (default 50 bars). Whale activity requires volume to be at least 1.5x the average (adjustable).
Price Impact Requirement: Volume alone isn't enough. The bar must also show significant price movement (default 0.1% minimum). This filters out high-volume consolidation where no one is actually committed to direction.
Direction Identification: Bullish whale = close > open on high volume. Bearish whale = close < open on high volume.
2. Conviction Scoring System:
The indicator doesn't just flag whale activity - it evaluates conviction through multiple factors:
Base Conviction: Calculated from (volume_ratio × price_impact) / 10
This gives higher scores to moves with both exceptional volume AND large price swings.
Trend Alignment Bonus (1.5x multiplier): Whale moves aligned with the 20-period EMA trend receive higher conviction scores. Institutional money tends to accumulate with the trend, not against it.
Follow-Through Bonus (1.3x multiplier): After whale activity, does price continue in that direction over the next bars (default 3)? Genuine conviction shows persistence.
Volume Persistence (1.2x multiplier): Is elevated volume sustained over multiple bars, or is it a one-time spike? The 3-bar average volume ratio above 1.5x indicates sustained interest.
Conviction Levels:
- EXTREME: Score > 15 (large whale emoji labels, highest confidence)
- HIGH: Score > 8 (triangle signals, strong confidence)
- MEDIUM: Score > 3 (small triangles, moderate confidence)
- LOW: Score < 3 (not plotted to reduce noise)
3. Cumulative Flow Analysis:
Rather than treating each whale move in isolation, the indicator tracks cumulative flow using an EMA of whale activity. This reveals persistent directional pressure.
Flow Calculation: Each whale bar contributes (whale_strength × direction) to the flow. Strength is volume_ratio × price_impact_percent.
Flow Momentum: Rate of change in the cumulative flow (5-bar change)
Flow Acceleration: Second derivative (3-bar change of momentum)
These metrics reveal whether whale activity is accelerating, decelerating, or reversing.
4. Market Regime Detection:
Bullish Regime: Cumulative flow > 2 AND momentum positive
Bearish Regime: Cumulative flow < -2 AND momentum negative
Sideways Regime: Neither condition met
The background color reflects the current regime, helping traders understand the broader context.
5. Flow Strength Meter:
The main plot normalizes cumulative flow to a -100 to +100 scale based on the 100-bar range. This provides a consistent visual reference regardless of the asset or timeframe.
Extreme levels at ±50 indicate particularly strong directional flow where reversals or consolidation become more likely.
HOW TO USE IT
Settings Configuration:
Whale Detection Section:
- Volume Average Period (default 50): Shorter periods make detection more sensitive to recent volume changes. Longer periods require more exceptional volume to trigger.
- Whale Volume Multiplier (default 1.5): How much above average volume must be to qualify. Lower = more signals. Higher = only extreme moves.
- Minimum Price Impact (default 0.1%): Filters out high-volume bars that didn't actually move price. Adjust based on asset volatility.
Trend Analysis:
- Trend Strength Period (default 20): EMA period for trend alignment bonus
- Confirmation Bars (default 3): How many bars to check for follow-through
Visual Settings:
- Flow Strength Meter: Main plot showing normalized cumulative flow
- Conviction Labels: Detailed labels showing volume ratio and price impact on extreme/high conviction whales
- Trend Background: Color-coded regime indication
Signal Interpretation:
EXTREME Conviction (Whale Emoji Labels):
These are the highest confidence signals. Large volume with significant price impact, aligned with trend, showing follow-through. These often mark the beginning or continuation of strong moves.
HIGH Conviction (Large Triangles):
Strong signals meeting most criteria. Good for main entries or adding to positions.
MEDIUM Conviction (Small Triangles):
Whale activity present but with fewer confirmation factors. Use for partial positions or require additional confirmation.
Flow Strength Meter:
- Above zero and rising: Bullish flow building
- Below zero and falling: Bearish flow building
- Approaching ±50: Extreme readings, watch for exhaustion
- Crossing zero: Flow regime change
Dashboard Information:
The top-right table shows:
- Current regime (bullish/bearish/sideways)
- Flow strength value
- Last whale direction
- Conviction level of last whale
- Current volume ratio
- Flow momentum direction
- Indicator status
Trading Strategies:
Trend Following: Take EXTREME and HIGH conviction signals aligned with the flow meter direction. Enter when flow is positive and rising for bullish whales, negative and falling for bearish whales.
Regime-Based: Only trade in bullish/bearish regimes (colored backgrounds). Avoid trading in sideways regimes where whale moves tend to reverse quickly.
Flow Reversals: When flow meter crosses zero with EXTREME conviction whale in the new direction, this often marks regime changes.
Exhaustion Plays: When flow reaches ±50 extreme levels, watch for EXTREME conviction whales in the opposite direction as potential reversal signals.
TECHNICAL DETAILS
Volume Ratio = Current Volume / SMA(Volume, Period)
Price Impact % = ABS(Close - Open) / Open × 100
Whale Detected = (Volume Ratio >= Multiplier) AND (Price Impact >= Minimum)
Whale Direction = Close > Open ? 1 : -1
Base Conviction = (Volume Ratio × Price Impact %) / 10
Trend Alignment = Whale Direction == Trend Direction ? 1.5 : 1.0
Follow-Through = Price continues whale direction over N bars ? 1.3 : 1.0
Volume Persistence = SMA(Volume Ratio, 3) > 1.5 ? 1.2 : 1.0
Final Conviction = Base × Trend Alignment × Follow-Through × Volume Persistence
Whale Flow = Whale Detected ? (Volume Ratio × Price Impact × Direction) : 0
Cumulative Flow = EMA(Whale Flow, 20)
Flow Momentum = Change(Cumulative Flow, 5)
Flow Acceleration = Change(Momentum, 3)
Normalized Flow Strength = (Cumulative Flow / Highest(ABS(Cumulative Flow), 100)) × 100
WHAT THIS SOLVES
Common Volume Indicator Problems:
- Volume spikes that don't move price (consolidation noise)
- Price moves on low volume that quickly reverse
- No differentiation between strong and weak volume signals
- Treating all high-volume bars equally regardless of context
- No measure of whether volume represents conviction or panic
Whale Flow Solutions:
- Requires both volume AND price impact for signals
- Conviction scoring separates strong moves from weak ones
- Cumulative flow shows persistent pressure vs isolated spikes
- Trend alignment and follow-through filter low-quality signals
- Tiered system lets traders choose their confidence threshold
LIMITATIONS
- Cannot identify individual whales or attribute volume to specific entities
- High volume can come from many sources (whales, retail panic, algo activity)
- Works best on liquid assets with consistent volume patterns
- Less reliable on low-volume assets or during market closures
- Conviction scoring thresholds may need adjustment per asset/timeframe
- Does not predict future whale activity, only identifies it after bars close
- Flow can remain at extremes longer than expected during strong trends
- False signals can occur during news events or earnings
- Not a standalone trading system - requires risk management and other analysis
Best used in combination with price action, support/resistance, and broader market context.
EDUCATIONAL VALUE
For traders learning about:
- Volume analysis beyond simple volume indicators
- Multi-factor signal confirmation systems
- Market regime and flow concepts
- Conviction-based scoring methodologies
- Cumulative indicator design
- Normalized plotting for cross-asset comparison
- Pine Script table and dashboard creation
Not financial advice.
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.
Khosro XAUUSD Strategy [TradingFinder] Trading Room Hunter Setup🔵 Introduction
The Trading Room Hunter (TRH) strategy is an analytical model based on the Smart Money Concept, developed by Khosro, an Iranian international trader based in Dubai. This approach is built upon a deep understanding of liquidity engineering, market structure shifts, and institutional order flow. Its core objective is to identify the so-called TRH Zone, the area where market liquidity gets trapped and institutional investors begin accumulating positions. Unlike traditional indicator-based methods, the TRH Zone focuses purely on price behavior and supply & demand dynamics to pinpoint the most precise reversal zones in the market.
Within Smart Money logic, every impulsive move in price results from the displacement or absorption of liquidity in a specific range. In the TRH model, the last pivot preceding the impulsive move (Origin Pivot) is defined as the Distal Line, and the Break Candle, which disrupts the market structure, forms the Proximal Line. The area between these two points defines the Trading Room Hunter Zone, a reaction zone where price, after creating a displacement or Break of Structure (BoS), often returns to fill an imbalance and provide a precision entry opportunity.
In essence, the TRH Zone is the region where smart money seeks re-entry after a liquidity sweep and a confirmed CHoCH or BoS. It frequently lies between supply/demand boundaries and fair value gaps (FVGs), forming one of the strongest decision-making frameworks within modern price-action theory. Due to its structural accuracy, the TRH setup can also function as a Set & Forget Setup, where the trader defines the zone, places a limit order, and lets the market naturally react, eliminating emotional decision-making and allowing for automated execution aligned with institutional logic.
🔵 How to Use
In the TRH strategy, entries are taken based on price returning to the area between the last impulsive pivot and the break candle. This range (the TRH Zone) represents the region where liquidity from the previous move remains concentrated. Before continuing its main direction, price often revisits this zone to fill imbalances or mitigate unfilled orders. The logic is simple: every explosive move originates from a point where large orders were executed, and TRH precisely highlights that institutional footprint.
🟣 Bullish Setup
When the market breaks a structural high after a strong bearish leg, liquidity shifts from sellers to buyers. The last bearish candle before the breakout marks the origin of the bullish move, and the zone between that candle and the break candle becomes the smart-money entry area. As price revisits this zone and signs of exhaustion in selling pressure appear, that’s the optimal point for a long position. Stop-loss is placed slightly below the origin pivot, and targets are set at the next supply zone or upper liquidity pool.
🟣 Bearish Setup
Conversely, when the market breaks a structural low after a sharp bullish leg, liquidity transitions from buyers to sellers. The last bullish candle before the drop is identified as the origin pivot, while the bearish break candle defines the lower boundary of the zone. The range between these two points forms the TRH Supply Zone, where late buyers are trapped and fresh institutional selling begins. As price retraces into this zone, short entries can be placed near the upper boundary, with stops above the pivot and targets toward the next liquidity pool below.
Because of its structural precision and clearly defined reaction behavior, TRH is one of the most effective Set & Forget setups in Smart Money trading. Simply mark the zone, place your order, and let the market do the rest.
🔵Setting
🟣 Spike Filter | Movement
Minimum Spike Bars : Defines the minimum number of consecutive candles required for a valid spike.
Movement Power : Enables or disables the momentum-based spike filter.
Movement Power Level : Sets the strength threshold; higher values filter out weaker moves and only detect strong spikes.
Pivot Period : Defines the lookback range used to detect swing highs and swing lows in market structure. A higher value smooths out smaller fluctuations and focuses on major pivots, while a lower value increases sensitivity and identifies minor turning points more frequently.
🟣 Position Management
Stop-Loss Threshold : Enables or disables the stop-loss threshold feature.
Stop-Loss Threshold Value : Defines the value of the stop-loss threshold for risk management.
Risk-Reward Ratio : Sets the desired risk-to-reward ratio (e.g., 1:1 or 1:2).
Wide Zone Filter : Filters out zones that exceed a defined width threshold, preventing detection of overly broad TRH areas.
🟣 Display Settings
Display Mode : Chooses between Setup (showing setups) or Signal (showing trade signals).
Show Entry Levels : Displays entry levels on the chart (buy/sell zones) when enabled
Only Display the Last Position : Displays only the most recent position on the chart when enabled.
Setup Width Drawing : Adjusts the visual width of the setup drawings on the chart for better visibility.
🔵 Conclusion
The TRH strategy is a precise structural model of liquidity flow that identifies zones where smart money is most likely to enter and where price is most likely to react. By combining the Origin Pivot and Break Candle, TRH isolates the key areas that drive institutional order flow. Without relying on indicators, it focuses purely on price structure, making it highly effective for both reactive entries and Set & Forget setups.
Ultimately, TRH creates a balance between market structure and liquidity flow, enabling traders to identify institutional decision zones on the chart with minimal risk and maximum clarity
Orderblocks & BreakersThis indicator identifies potential orderblocks and breakers based on recent swing highs and lows. It is built to offer a structured, customizable, and noise-controlled view of how price interacts with supply and demand levels.
The script applies pivot-based swing detection to identify swing highs and lows.
Bullish Orderblocks: The script Identifies and stores the last down candle before a swing high is breached and confirms and plots the orderblock with a market structure break (close above the swing high).
Bearish Orderblocks: The script Identifies and stores the last up candle before a swing low is breached and confirms and plots the orderblock with a market structure break (close below the swing low).
When price later closes through an existing orderblock, it is reclassified as a Breaker and recolored accordingly. (all colors can be changed in the settings)
What Makes It Different
Unlike most orderblock tools that simply mark every swing-based block, this version introduces:
1. Chop Control – automatically hides breakers that price repeatedly closes through (2 closes after the orderblock becomes a breaker), keeping only relevant zones visible.
2. Recent Block Filtering – limits how many of the recent orderblocks or breakers are displayed, preventing chart clutter.
3. Dynamic Updating – orderblocks automatically convert to breakers when price closes beyond them, with clear color changes.
These features make it easier to study cleaner price structure without manually managing old or invalid zones. The optional Chop Control filter can reduce overlapping or repeatedly invalidated zones to keep the chart clearer.
Customizable Parameters
- Swing detection length (shorter means more aggressive pivot detection, longer means less aggressive so less highs/lows detected)
- Number of recent blocks to display
- Visibility toggles for orderblocks or breakers
- Color and transparency controls for each type
Alerts
Alerts can be set to trigger when price tests any defined zone.
Purpose
This indicator is designed as a price structure visualization and study tool.
It may assist in understanding how price interacts with previously active regions, but it does not produce signals or trade recommendations.
SMC Structures and Multi-Timeframe FVG PYSMC Structures and Multi-Timeframe FVG Indicator
Tip: For optimal performance, adjust the number of FVGs displayed per timeframe in the settings. On high-performance devices, up to 8 FVGs per timeframe can be used without issues. If you experience slowdowns, reduce to 3 or 4 FVGs per timeframe. If the chart flashes, disable indicators one by one to identify conflicts, or try using the TradingView Mobile or Windows App for a smoother experience.
Overview
This Pine Script indicator enhances market analysis by integrating Smart Money Concepts (SMC) with Fair Value Gaps (FVG) across multiple timeframes. It identifies trend continuations (Break of Structure, BOS) and trend reversals (Change of Character, CHoCH) while highlighting liquidity zones through FVG detection. The indicator includes eight customizable Moving Average (MA) curve templates, disabled by default, to complement SMC and FVG analysis. Its originality lies in combining multi-timeframe FVG detection with SMC structure analysis, providing traders with a cohesive tool to visualize price action patterns and liquidity zones efficiently.
Features and Functionality
1. Fair Value Gaps (FVG)
The indicator detects and displays bullish, bearish, and mitigated FVGs, representing liquidity zones where price inefficiencies occur. These gaps are dynamically updated based on price action:
Bullish FVG: Displayed in green when unmitigated, indicating potential upward liquidity zones.
Bearish FVG: Displayed in red when unmitigated, signaling potential downward liquidity zones.
Mitigated FVG: Shown in gray once the gap is partially filled by price action.
Fully Mitigated FVG: Automatically removed from the chart when the gap is fully filled, reducing visual clutter.
Users can customize the number of historical FVGs displayed via the settings, allowing focus on recent liquidity zones for targeted analysis.
2. SMC Structures
The indicator identifies key SMC price action patterns:
Break of Structure (BOS): Marked with gray lines, indicating trend continuation when price breaks a significant high or low.
Change of Character (CHoCH): Highlighted with yellow lines, signaling potential trend reversals when price fails to maintain the current structure.
High/Low Values: Blue lines denote the highest high and lowest low of the current structure, providing reference points for market context.
3. Multi-Timeframe FVG Analysis
A standout feature is the ability to analyze FVGs across multiple timeframes simultaneously. This allows traders to align higher-timeframe liquidity zones with lower-timeframe entries, improving trade precision. The indicator fetches FVG data from user-selected timeframes, displaying them cohesively on the chart.
4. Moving Average (MA) Templates
The indicator includes eight customizable MA curve templates in the Settings > Template section, disabled by default. These templates allow users to overlay MAs (e.g., SMA, EMA, WMA) to complement SMC and FVG analysis. Each template is pre-configured with different periods and types, enabling quick adaptation to various trading strategies, such as trend confirmation or dynamic support/resistance.
How It Works
The script processes price action to detect FVGs by analyzing three-candle patterns where a gap forms between the high/low of the first and third candles. Multi-timeframe data is retrieved using Pine Script’s request.security() function, ensuring accurate FVG plotting across user-defined timeframes. BOS and CHoCH are identified by tracking swing highs and lows, with logic to differentiate trend continuation from reversals. The MA templates are computed using standard Pine Script TA functions, with user inputs controlling visibility and parameters.
How to Use
Add to Chart: Apply the indicator to any TradingView chart.
Configure Settings:
FVG Settings: Adjust the number of historical FVGs to display (default: 10). Enable/disable specific FVG types (bullish, bearish, mitigated).
Timeframe Selection: Choose up to three timeframes for FVG analysis (e.g., 1H, 4H, 1D) to align with your trading strategy.
Structure Settings: Toggle BOS (gray lines) and CHoCH (yellow lines) visibility. Adjust sensitivity for structure detection if needed.
MA Templates: Enable MA curves via the Template section. Select from eight pre-configured MA types and periods to suit your analysis.
Interpret Signals:
Use green/red FVGs for potential entry points targeting liquidity zones.
Monitor gray lines (BOS) for trend continuation and yellow lines (CHoCH) for reversal signals.
Align multi-timeframe FVGs with BOS/CHoCH for high-probability setups.
Optionally, use MA curves for trend confirmation or dynamic levels.
Clean Chart Usage: The indicator is designed to work standalone. Ensure no conflicting scripts are applied unless explicitly needed for your strategy.
Why This Indicator Is Unique
Unlike standalone FVG or SMC indicators, this script combines both concepts with multi-timeframe analysis, offering a comprehensive view of market structure and liquidity. The addition of customizable MA templates enhances flexibility, while the dynamic removal of mitigated FVGs keeps the chart clean. This mashup is purposeful, as it integrates complementary tools to streamline decision-making for traders using SMC strategies.
Credits
This indicator builds on foundational SMC and FVG concepts from the TradingView community. Some open-source code was reused, and do performance enhancement as you guys can read the code. This type of indicators has inspiration was drawn from public domain SMC methodologies. All code is partly original with manual work on performance optimization in Pine Script.
Notes
Ensure your chart is clean (no unnecessary drawings or indicators) to maximize clarity.
The indicator is open-source, and traders are encouraged to review the code for deeper understanding.
For optimal use, test the indicator on a demo account to familiarize yourself with its signals.
3-6-9 Times v3.2 (rdt)3-6-9 Times v3.1 Indicator Overview
Core Concept
This indicator identifies specific times/dates where the digital root (sum of digits reduced to a single number) equals 3, 6, or 9, which are considered significant in numerology and certain trading methodologies.
How It Calculates Roots:
For Intraday Timeframes (minutes, hours):
Formula: Hour + First Minute Digit + Last Minute Digit → Reduce to single digit
For Daily/Weekly/Monthly Timeframes:
Uses Month + Day calculations with similar digit reduction logic.
Key Features:
1. Break Filter (Default: ON)
Only displays labels after a swing high/low is broken
Prevents clutter by filtering out times that don't coincide with price action
Configurable pivot length (default: 2 bars)
Optional directional filter: green candles must break highs, red candles must break lows
2. Root Selection
Toggle individual roots (3, 6, or 9) on/off
Each root has customizable color
Default colors: Blue (3), Green (6), Red (9)
3. Display Options
Marking Style: Labels, Vertical Lines, or Both
Label Text Format:
Root Only (default) - shows just "3", "6", or "9"
Time/Date Only - shows the actual time/date
Root + Time/Date (separate lines) - shows both
Label Background: Toggle colored box behind text (default: OFF)
Chart Background: Toggle colored background highlight (default: OFF)
Text Color: Customizable (default: black)
4. Session Filter:
Set specific hours/minutes for when to display signals
Default: 00:00 to 23:59 (all day)
Useful for focusing on specific trading sessions
5. Hour Offset
Manual adjustment for timezone/DST issues
Range: -12 to +12 hours
Helps align calculations with your preferred timezone
6. Label Placement
Green candles: Label appears above the bar
Red candles: Label appears below the bar
7. Alerts
Four alert conditions available:
Any 3-6-9 root hit
Specific Root 3 hit
Specific Root 6 hit
Specific Root 9 hit
Typical Use Case
Traders use this to identify potential reversal or continuation points when:
A 3/6/9 time occurs
Price breaks a recent swing high/low
Combining this timing signal with other technical analysis
The indicator helps identify "energetic" time windows that may correlate with increased volatility or directional moves.
Smart Money Volume Activity [AlgoAlpha]🟠 OVERVIEW
This tool visualizes how Smart Money and Retail participants behave through lower-timeframe volume analysis. It detects volume spikes far beyond normal activity, classifies them as institutional or retail, and projects those zones as reactive levels. The script updates dynamically with each bar, showing when large players enter while tracking whether those events remain profitable. Each event is drawn as a horizontal line with bubble markers and summarized in a live P/L table comparing Smart Money versus Retail.
🟠 CONCEPTS
The core logic uses Z-score normalization on lower-timeframe volumes (like 5m inside a 1h chart). This lets the script detect statistically extreme bursts of buying or selling activity. It classifies each detected event as:
Smart Money — volume inside the candle body (suggesting hidden accumulation or distribution)
Retail — volume closing at bar extremes (suggesting chase entries or panic exits)
When new events appear, the script plots them as horizontal levels that persist until price interacts again. Each level acts as a potential reaction zone or liquidity footprint. The integrated P/L table then measures which class (Retail or Smart Money) is currently “winning” — comparing cumulative profitable versus losing volume.
🟠 FEATURES
Classifies flows into Smart Money or Retail based on candle-body context.
Displays live P/L comparison table for Smart vs Retail performance.
Alerts for each detected Smart or Retail buy/sell event.
🟠 USAGE
Setup : Add the script to any chart. Set Lower Timeframe Value (e.g., “5” for 5m) smaller than your main chart timeframe. The Period input controls how many bars are analyzed for the Z-score baseline. The Threshold (|Z|) decides how extreme a volume must be to plot a level.
Read the chart : Horizontal lines mark where heavy Smart or Retail volume occurred. Bright bubbles show the strongest events — their size reflects Z-score intensity. The on-chart table updates live: green cells show profitable flows, red cells show losing flows. A dominant green Smart Money row suggests institutions are currently controlling price.
See what others are doing :
Settings that matter : Raising Threshold (|Z|) filters noise, showing only large players. Increasing Period smooths results but reacts slower to new bursts. Use Show = “Both” for full comparison or isolate “Smart Money” / “Retail” to focus on one class.
Market Structure Report Library [TradingFinder]🔵 Introduction
Market Structure is one of the most fundamental concepts in Price Action and Smart Money theory. In simple terms, it represents how price moves between highs and lows and reveals which phase of the market cycle we are currently in uptrend, downtrend, or transition.
Each structure in the market is formed by a combination of Breaks of Structure (BoS) and Changes of Character (CHoCH) :
BoS occurs when the market breaks a previous high or low, confirming the continuation of the current trend.
CHoCH occurs when price breaks in the opposite direction for the first time, signaling a potential trend reversal.
Since price movement is inherently fractal, market structure can be analyzed on two distinct levels :
Major / External Structure: represents the dominant macro trend.
Minor / Internal Structure: represents corrective or smaller-scale movements within the larger trend.
🔵 Library Purpose
The “Market Structure Report Library” is designed to automatically detect the current market structure type in real time.
Without drawing or displaying any visuals, it analyzes raw price data and returns a series of logical and textual outputs (Return Values) that describe the current structural state of the market.
It provides the following information :
Trend Type :
External Trend (Major): Up Trend, Down Trend, No Trend
Internal Trend (Minor): Up Trend, Down Trend, No Trend
Structure Type :
BoS : Confirms trend continuation
CHoCH : Indicates a potential trend reversal
Consecutive BoS Counter : Measures trend strength on both Major and Minor levels.
Candle Type : Returns the current candle’s condition(Bullish, Bearish, Doji)
This library is specifically designed for use in Smart Money–based screeners, indicators, and algorithmic strategies.
It can analyze multiple symbols and timeframes simultaneously and return the exact structure type (BoS or CHoCH) and trend direction for each.
🔵 Function Outputs
The function MS() processes the price data and returns seven key outputs,
each representing a distinct structural state of the market. These values can be used in indicators, strategies, or multi-symbol screeners.
🟣 ExternalTrend
Type : string
Description : Represents the direction of the Major (External) market structure.
Possible values :
Up Trend
Down Trend
No Trend
This is determined based on the behavior of Major Pivots (swing highs/lows).
🟣 InternalTrend
Type : string
Description : Represents the direction of the Minor (Internal) market structure.
Possible values :
Up Trend
Down Trend
No Trend
🟣 M_State
Type : string
Description : Specifies the type of the latest Major Structure event.
Possible values :
BoS
CHoCH
🟣 m_State
Type : string
Description : Specifies the type of the latest Minor Structure event.
Possible values :
BoS
CHoCH
🟣 MBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks (BoS) in the Major structure.
Useful for evaluating trend strength :
Increasing count: indicates trend continuation.
Reset to zero: typically occurs after a CHoCH.
🟣 mBoS_Counter
Type : integer
Description : Counts the number of consecutive structural breaks in the Minor structure.
Helps analyze the micro structure of the market on lower timeframes.
Higher value : strong internal trend.
Reset : indicates a minor pullback or reversal.
🟣 Candle_Type
Type : string
Description : Represents the type of the current candle.
Possible values :
Bullish
Bearish
Doji
import TFlab/Market_Structure_Report_Library_TradingFinder/1 as MSS
PP = input.int (5 , 'Market Structure Pivot Period' , group = 'Symbol 1' )
= MSS.MS(PP)
Quarterly Theory [@kaleboraciy]🧠 Daye Quarterly Theory is based on the idea that markets often move in repeating cycles. Each part of the cycle reflects a stage of the market
Consolidation
Manipulation
Distribution
Reversal/Continuation
This is a classic AMD-X pattern, which is widely used in SMC & ICT concepts. By spotting these phases, traders can better understand where the market might be heading next.
⭐ An important feature of this indicator is the Fibonacci levels, which are calculated in a clever way on the Q1 part of each cycle. You can use this levels for precise entries on manipulation in Q2
📖 Now I want to give brief description of each cycle:
Daily Cycle - the day can be broken down into 6 hour quarters
Q1 - 18:00 - 00:00 Asia.
Q2 - 00:00 - 06:00 London (True Open).
Q3 - 06:00 - 12:00 NY AM.
Q4 - 12:00 - 18:00 NY PM.
Pro tips:
Q2 often lines up with the session’s True Open - a key reference for directional bias.
Q3 tends to show the most directional momentum during the trading day.
Q4 is a critical zone for judging whether the day will extend the move or retrace.
Weekly Cycle - Daye determined that although the trading week is composed of 5 trading days, we should ignore Friday, and the small portion of Sunday’s price action:
Q1 - Monday
Q2 - Tuesday (True Open, Daily Candle Open Price).
Q3 - Wednesday.
Q4 - Thursday.
Pro tips:
Wednesday (Q3) often provides the week’s strongest directional movement - many trades target this zone.
Tuesday’s manipulation (Q2) may shake out weak positions or set up the directional swing - be careful
Thursday (Q4) helps confirm whether the weekly trend continues or reverses.
Monthly Cycle - considering that we have four weeks in a month, we start the cycle on the first Monday of the month (regardless of the calendar Day):
Q1 - Week 1: first Monday of the month.
Q2 - Week 2: second Monday of the month (True Open, Daily Candle Open Price).
Q3 - Week 3: third Monday of the month.
Q4 - Week 4: fourth Monday of the month.
I hope, that this awesome tool will boost your trading 💰
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps —
License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike).
This script is a non-commercial derivative work that credits the original author and keeps the same license.
What this strategy does
This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger.
Additions vs. the original indicator
✅ Strategy entries based on % mitigation into FVGs (long/short).
✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0.
✅ Per-FVG total volume filter (min/max) so you can skip weak boxes.
✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes.
✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG).
✅ Optional candle confirmation and cooldown between trades.
✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached).
✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN.
How a trade is decided (logic overview)
Detect FVGs (same rules as the original visual logic).
For each FVG currently intersected by the bar, compute:
Mitigation % (how deep price has entered the box).
Bull%/Bear% split (internal volume share).
Total volume (printed on the box) from LTF aggregation or fallback.
Age (bars) since the box was created.
Apply your filters:
Mitigation ≥ Long/Short threshold.
Volume between your min and max (if enabled).
Age ≥ min bars (if enabled).
Bull% / Bear% within your limits (if enabled).
(Optional) the current candle must be in trade direction (confirm).
If multiple FVGs qualify on the same bar, the strategy uses the most recent one.
Enter long/short (no pyramiding).
Exit with:
Fixed Stop Loss %, and
Trailing Stop that only starts after price reaches your profit trigger %.
Input settings (quick guide)
Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter.
Mitigation % thresholds: minimal mitigation for Long and Short.
TOTAL Volume filter: skip FVGs with too little/too much total volume (per box).
Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max).
Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes.
Confirm candle: require candle direction to match the trade.
Cooldown (bars): minimum bars between entries.
Risk:
Stop Loss % (fixed from entry price).
Activate trailing at +% profit (the trigger).
Trailing distance % (the trailing gap once active).
Lower-TF aggregation:
Auto: TF/Divisor → picks 1/3/5m automatically.
Fixed: choose 1/3/5/15m explicitly.
If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L.
Suggested starting presets (you should optimize per market)
Mitigation: 60–80% for both Long/Short.
Bull/Bear share:
Long: Bull% ≥ 50–70, Bear% ≤ 100.
Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer.
Age: ≥ 20–30 bars.
Volume: pick a min that filters noise for your symbol/timeframe.
Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example).
Set slippage/fees in Strategy Properties.
Notes, limitations & best practices
Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic).
Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects.
No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling.
Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly.
Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice.
Credits
Visual FVG concept and original implementation: BigBeluga.
This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit.
License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
Smart Money Support/Resistance - LiteSmart Money Support/Resistance — Lite
Overview & Methodology
This indicator identifies support and resistance as zones derived from concentrated buying and selling pressure, rather than relying solely on traditional swing highs/lows. Its design focuses on transparency: how data is sourced, how zones are computed, and how the on‑chart display should be interpreted.
Lower‑Timeframe (LTF) Data
The script requests Up Volume, Down Volume, and Volume Delta from a lower timeframe to expose intrabar order‑flow structure that the chart’s native timeframe cannot show. In practical terms, this lets you see where buyers or sellers briefly dominated inside the body of a higher‑timeframe bar.
bool use_custom_tf_input = input.bool(true, title="Use custom lower timeframe", tooltip="Override the automatically chosen lower timeframe for volume calculations.", group=grpVolume)
string custom_tf_input = input. Timeframe("1", title="Lower timeframe", tooltip="Lower timeframe used for up/down volume calculations (default 5 seconds).", group=grpVolume)
import TradingView/ta/10 as tvta
resolve_lower_tf(useCustom, customTF) =>
useCustom ? customTF :
timeframe.isseconds ? "1S" :
timeframe.isintraday ? "1" :
timeframe.isdaily ? "5" : "60"
get_up_down_volume(lowerTf) =>
= tvta.requestUpAndDownVolume(lowerTf)
var float upVolume = na
var float downVolume = na
var float deltaVolume = na
string lower_tf = resolve_lower_tf(use_custom_tf_input, custom_tf_input)
= get_up_down_volume(lower_tf)
upVolume := u_tmp
downVolume := d_tmp
deltaVolume := dl_tmp
• Data source: TradingView’s ta.requestUpAndDownVolume(lowerTf) via the official TA library.
• Plan capabilities: higher‑tier subscriptions unlock seconds‑based charts and allow more historical bars per chart. This expands both the temporal depth of LTF data and the precision of short‑horizon analysis, while base tiers provide minute‑level data suitable for day/short‑swing studies.
• Coverage clarity: a small on‑chart Coverage Panel reports the active lower timeframe, the number of bars covered, and the latest computed support/resistance ranges so you always know the bounds of valid LTF input.
Core Method
1) Data acquisition (LTF)
The script retrieves three series from the chosen lower timeframe:
– Up Volume (buyers)
– Down Volume (sellers)
– Delta (Up – Down)
2) Rolling window & extrema
Over a user‑defined lookback (Global Volume Period), the algorithm builds rolling arrays of completed bars and scans for extrema:
– Buyers_max / Buyers_min from Up Volume
– Sellers_max / Sellers_min from Down Volume
Only completed bars are considered; the current bar is excluded for stability.
3) Price mapping
The extrema are mapped back to their source candles to obtain price bounds:
– For “maximum” roles the algorithm uses the relevant candle highs.
– For “minimum” roles it uses the relevant candle lows.
These pairs define candidate resistance (max‑based) and support (min‑based) zones or vice versa.
4) Zone construction & minimum width
To ensure practicality on all symbols, zones enforce a minimum vertical thickness of two ticks. This prevents visually invisible or overly thin ranges on instruments with tight ticks.
5) Vertical role resolution
When both max‑ and min‑based zones exist, the script compares their midpoints. If, due to local price structure, the min‑based zone sits above the max‑based zone, display roles are swapped so the higher zone is labeled Resistance and the lower zone Support. Colors/widths are updated accordingly to keep the visual legend consistent.
6) Rendering & panel
Two horizontal lines and a filled box represent each active zone. The Coverage Panel (bottom‑right by default) prints:
– Lower‑timeframe in use
– Number of bars covered by LTF data
– Current Support and Resistance ranges
If the two zones overlap, an additional “Range Market” note is shown.
Key Inputs
• Global Volume Period: shared lookback window for the extrema search.
• Lower timeframe: user‑selectable override of the automatically resolved lower timeframe.
• Visualization toggles: independent show/hide controls and colors for maximum (resistance) and minimum (support) zones.
• Coverage Panel: enable/disable the single‑cell table and its readout.
Operational Notes
• The algorithm aligns all lookups to completed bars (no peeking). Price references are shifted appropriately to avoid using the still‑forming bar in calculations.
• Second‑based lower timeframes improve granularity for scalping and very short‑term entries. Minute‑based lower timeframes provide broader coverage for intraday and short‑swing contexts.
• Use the Coverage Panel to confirm the true extent of available LTF history on your symbol/plan before drawing conclusions from very deep lookbacks.
Visual Walkthrough
A step‑by‑step image sequence accompanies this description. Each figure demonstrates how the indicator reads LTF volume, locates extrema, builds price‑mapped zones, and updates labels/colors when vertical order requires it.
Chart Interpretation
This chart illustrates two distinct perspectives of the Smart Money Support/Resistance — Lite indicator, each derived from different lookback horizons and lower-timeframe (LTF) resolutions.
1- Short-term view (43 bars, 10-second LTF)
Using the most recent 43 completed bars with 10-second intrabar data, the algorithm detects that both maximum and minimum volume extrema fall within a narrow range. The result is a clearly identified range market: resistance between 178.15–184.55 and support between 175.02–179.38.
The Coverage Panel (bottom-right) confirms the scope of valid input: the lower timeframe used, number of bars covered, and the resulting zones. This short-term scan highlights how the indicator adapts to limited data depth, flagging sideways structure where neither side dominates.
2 - Long-term view (120 bars, 30-second LTF)
Over a wider 120-bar lookback with higher-granularity 30-second data, broader supply and demand zones emerge.
– The long-term resistance zone captures the concentration of buyers and sellers at the upper boundary of recent price history.
– The long-term support zone anchors to the opposite side of the distribution, derived from maxima and minima of both buying and selling pressure.
These zones reflect deeper structural levels where market participants previously committed significant volume.
Combined Perspective
By aligning the short-term and long-term outputs, the chart shows how the indicator distinguishes immediate consolidation (range market) from more durable support and resistance levels derived from extended history. This dual resolution approach makes clear that support and resistance are not static lines but dynamic zones, dependent on both timeframe depth and the resolution of intrabar volume data.
Inversion Fair Value Gap Signals [AlgoAlpha]🟠 OVERVIEW
This script is a custom signal tool called Inversion Fair Value Gap Signals (IFVG) , designed to detect, track, and visualize fair value gaps (FVGs) and their inversions directly on price charts. It identifies bullish and bearish imbalances, monitors when these zones are mitigated or rejected, and extends them until resolution or expiration. What makes this script original is the inclusion of inversion logic—when a gap is filled, the area flips into an opposite "inversion fair value gap," creating potential reversal or continuation zones that give traders additional context beyond classic FVG analysis.
🟠 CONCEPTS
The script builds on the Smart Money Concepts (SMC) principle of fair value gaps, where inefficiencies form when price moves too quickly in one direction. Detection requires a three-bar sequence: a strong up or down move that leaves untraded price between bar highs and lows. To refine reliability, the script adds an ATR-based size filter and prevents overlap between zones. Once created, gaps are tracked in arrays until mitigation (price closing back into the gap), expiration, or transformation into an inversion zone. Inversions act as polarity flips, where bullish gaps become bearish resistance and bearish gaps become bullish support. Lower-timeframe volume data is also displayed inside zones to highlight whether buying or selling pressure dominated during gap creation.
🟠 FEATURES
Automatic detection of bullish and bearish FVGs with ATR-based thresholding.
Inversion logic: mitigated gaps flip into opposite-colored IFVG zones.
Volume text overlay inside each zone showing up vs down volume.
Visual markers (△/▽ for FVG, ▲/▼ for IFVG) when price exits a zone without mitigation.
🟠 USAGE
Apply the indicator to any chart and enable/disable bullish or bearish FVG detection depending on your focus. Use the colored gap zones as areas of interest: bullish gaps suggest possible continuation to the upside until mitigated, while bearish gaps suggest continuation down. When a gap flips into an inversion zone, treat it as potential support/resistance—bullish IFVGs below price may act as demand, while bearish IFVGs above price may act as supply. Watch the embedded up/down volume data to gauge the strength of participants during gap formation. Use the △/▽ and ▲/▼ markers to spot when price rejects gaps or inversions without filling them, which can indicate strong trending momentum. For practical use, combine alerts with your trade plan to track when new gaps form, when old ones are resolved, or when key zones flip into inversions, helping you align entries, targets, or reversals with institutional order flow logic.
