Market Profile Dominance Analyzer# Market Profile Dominance Analyzer
## 📊 OVERVIEW
**Market Profile Dominance Analyzer** is an advanced multi-factor indicator that combines Market Profile methodology with composite dominance scoring to identify buyer and seller strength across higher timeframes. Unlike traditional volume profile indicators that only show volume distribution, or simple buyer/seller indicators that only compare candle colors, this script integrates six distinct analytical components into a unified dominance measurement system.
This indicator helps traders understand **WHO controls the market** by analyzing price position relative to Market Profile key levels (POC, Value Area) combined with volume distribution, momentum, and trend characteristics.
## 🎯 WHAT MAKES THIS ORIGINAL
### **Hybrid Analytical Approach**
This indicator uniquely combines two separate methodologies that are typically analyzed independently:
1. **Market Profile Analysis** - Calculates Point of Control (POC) and Value Area (VA) using volume distribution across price channels on higher timeframes
2. **Multi-Factor Dominance Scoring** - Weights six independent factors to produce a composite dominance index
### **Six-Factor Composite Analysis**
The dominance score integrates:
- Price position relative to POC (equilibrium assessment)
- Price position relative to Value Area boundaries (acceptance/rejection zones)
- Volume imbalance within Value Area (institutional bias detection)
- Price momentum (directional strength)
- Volume trend comparison (participation analysis)
- Normalized Value Area position (precise location within fair value zone)
### **Adaptive Higher Timeframe Integration**
The script features an intelligent auto-selection system that automatically chooses appropriate higher timeframes based on the current chart period, ensuring optimal Market Profile structure regardless of the trading timeframe being analyzed.
## 💡 HOW IT WORKS
### **Market Profile Construction**
The indicator builds a Market Profile structure on a higher timeframe by:
1. **Session Identification** - Detects new higher timeframe sessions using `request.security()` to ensure accurate period boundaries
2. **Data Accumulation** - Stores high, low, and volume data for all bars within the current higher timeframe session
3. **Channel Distribution** - Divides the session's price range into configurable channels (default: 20 rows)
4. **Volume Mapping** - Distributes each bar's volume proportionally across all price channels it touched
### **Key Level Calculation**
**Point of Control (POC)**
- Identifies the price channel with the highest accumulated volume
- Represents the price level where the most trading activity occurred
- Serves as a magnetic level where price often returns
**Value Area (VA)**
- Starts at POC and expands both upward and downward
- Includes channels until reaching the specified percentage of total volume (default: 70%)
- Expansion algorithm compares adjacent volumes and prioritizes the direction with higher activity
- Defines the "fair value" zone where most market participants agreed to trade
### **Dominance Score Formula**
```
Dominance Score = (price_vs_poc × 10) +
(price_vs_va × 5) +
(volume_imbalance × 0.5) +
(price_momentum × 100) +
(volume_trend × 5) +
(va_position × 15)
```
**Component Breakdown:**
- **price_vs_poc**: +1 if above POC, -1 if below (shows which side of equilibrium)
- **price_vs_va**: +2 if above VAH, -2 if below VAL, 0 if inside VA
- **volume_imbalance**: Percentage difference between upper and lower VA volumes
- **price_momentum**: 5-period SMA of price change (directional acceleration)
- **volume_trend**: Compares 5-period vs 20-period volume averages
- **va_position**: Normalized position within Value Area (-1 to +1)
The composite score is then smoothed using EMA with configurable sensitivity to reduce noise while maintaining responsiveness.
### **Market State Determination**
- **BUYERS Dominant**: Smooth dominance > +10 (bullish control)
- **SELLERS Dominant**: Smooth dominance < -10 (bearish control)
- **NEUTRAL**: Between -10 and +10 (balanced market)
## 📈 HOW TO USE THIS INDICATOR
### **Trend Identification**
- **Green background** indicates buyers are in control - look for long opportunities
- **Red background** indicates sellers are in control - look for short opportunities
- **Gray background** indicates neutral market - consider range-bound strategies
### **Signal Interpretation**
**Buy Signals** (green triangle) appear when:
- Dominance crosses above -10 from oversold conditions
- Previous state was not already bullish
- Suggests shift from seller to buyer control
**Sell Signals** (red triangle) appear when:
- Dominance crosses below +10 from overbought conditions
- Previous state was not already bearish
- Suggests shift from buyer to seller control
### **Value Area Context**
Monitor the information table (top-right) to understand market structure:
- **Price vs POC**: Shows if trading above/below equilibrium
- **Volume Imbalance**: Positive values favor buyers, negative favors sellers
- **Market State**: Current dominant force (BUYERS/SELLERS/NEUTRAL)
### **Multi-Timeframe Strategy**
The auto-timeframe feature analyzes higher timeframe structure:
- On 1-minute charts → analyzes 2-hour structure
- On 5-minute charts → analyzes Daily structure
- On 15-minute charts → analyzes Weekly structure
- On Daily charts → analyzes Yearly structure
This higher timeframe context helps avoid counter-trend trades against the dominant force.
### **Confluence Trading**
Strongest signals occur when multiple factors align:
1. Price above VAH + positive volume imbalance + buyers dominant = Strong bullish setup
2. Price below VAL + negative volume imbalance + sellers dominant = Strong bearish setup
3. Price at POC + neutral state = Potential breakout/breakdown pivot
## ⚙️ INPUT PARAMETERS
- **Higher Time Frame**: Select specific HTF or use 'Auto' for intelligent selection
- **Value Area %**: Percentage of volume contained in VA (default: 70%)
- **Show Buy/Sell Signals**: Toggle signal triangles visibility
- **Show Dominance Histogram**: Toggle histogram display
- **Signal Sensitivity**: EMA period for dominance smoothing (1-20, default: 5)
- **Number of Channels**: Market Profile resolution (10-50, default: 20)
- **Color Settings**: Customize buyer, seller, and neutral colors
## 🎨 VISUAL ELEMENTS
- **Histogram**: Shows smoothed dominance score (green = buyers, red = sellers)
- **Zero Line**: Neutral equilibrium reference
- **Overbought/Oversold Lines**: ±50 levels marking extreme dominance
- **Background Color**: Highlights current market state
- **Information Table**: Displays key metrics (state, dominance, POC relationship, volume imbalance, timeframe, bars in session, total volume)
- **Signal Shapes**: Triangle markers for buy/sell signals
## 🔔 ALERTS
The indicator includes three alert conditions:
1. **Buyers Dominate** - Fires on buy signal crossovers
2. **Sellers Dominate** - Fires on sell signal crossovers
3. **Dominance Shift** - Fires when dominance crosses zero line
## 📊 BEST PRACTICES
### **Timeframe Selection**
- **Scalping (1-5min)**: Focus on 2H-4H dominance shifts
- **Day Trading (15-60min)**: Monitor Daily and Weekly structure
- **Swing Trading (4H-Daily)**: Track Weekly and Monthly dominance
### **Confirmation Strategies**
1. **Trend Following**: Enter in direction of dominance above/below ±20
2. **Reversal Trading**: Fade extreme readings beyond ±50 when diverging with price
3. **Breakout Trading**: Look for dominance expansion beyond ±30 with increasing volume
### **Risk Management**
- Avoid trading during NEUTRAL states (dominance between -10 and +10)
- Use POC levels as logical stop-loss placement
- Consider VAH/VAL as profit targets for mean reversion
## ⚠️ LIMITATIONS & WARNINGS
**Data Requirements**
- Requires sufficient historical data on current chart (minimum 100 bars recommended)
- Lower timeframes may show fewer bars per HTF session initially
- More accurate results after several complete HTF sessions have formed
**Not a Standalone System**
- This indicator analyzes market structure and participant control
- Should be combined with price action, support/resistance, and risk management
- Does not guarantee profitable trades - past dominance does not predict future results
**Repainting Characteristics**
- Higher timeframe levels (POC, VAH, VAL) update as new bars form within the session
- Dominance score recalculates with each new bar
- Historical signals remain fixed, but current session data is developing
**Volume Limitations**
- Uses exchange-provided volume data which varies by instrument type
- Forex and some CFDs use tick volume (not actual transaction volume)
- Most accurate on instruments with reliable volume data (stocks, futures, crypto)
## 🔍 TECHNICAL NOTES
**Performance Optimization**
- Uses `max_bars_back=5000` for extended historical analysis
- Efficient array management prevents memory issues
- Automatic cleanup of session data on new period
**Calculation Method**
- Market Profile uses actual volume distribution, not TPO (Time Price Opportunity)
- Value Area expansion follows traditional Market Profile auction theory
- All calculations occur on the chart's current symbol and timeframe
## 📚 EDUCATIONAL VALUE
This indicator helps traders understand:
- How institutional traders use Market Profile to identify fair value
- The relationship between price, volume, and market acceptance
- Multi-factor analysis techniques for assessing market conditions
- The importance of higher timeframe structure in trade planning
## 🎓 RECOMMENDED READING
To better understand the concepts behind this indicator:
- "Mind Over Markets" by James Dalton (Market Profile foundations)
- "Markets in Profile" by James Dalton (Value Area analysis)
- Volume Profile analysis in institutional trading
## 💬 USAGE TERMS
This indicator is provided as an educational and analytical tool. It does not constitute financial advice, investment recommendations, or trading signals. Users are responsible for their own trading decisions and should conduct their own research and due diligence.
Trading involves substantial risk of loss. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose.
스크립트에서 "imbalance"에 대해 찾기
Entry (MTF) - Three phase Reversal patternOf course. We can absolutely reframe the explanation to give the strategy a more unique or generalized name, focusing on the concepts rather than the specific mentor.
Here is a revised, in-depth guide for your "Entry(MTF)" indicator, presented as the **"Momentum Shift Entry Model."**
***
### Entry (MTF) Indicator: A Guide to the Momentum Shift Model
This powerful indicator is designed to automatically detect a high-probability **Momentum Shift Entry Pattern**. The core strategy is to identify moments where the market's direction is likely to make a significant and sustained reversal, often driven by institutional order flow.
The indicator's key advantage is its **Multi-Timeframe (MTF)** functionality. It allows you to find these robust setups on a higher timeframe (like the daily chart) and then projects those signals onto your active, lower timeframe chart (like the 15-minute), providing a clear strategic edge for timing your entries.
---
## The Core Logic: The Three-Phase Reversal Pattern
This indicator is not based on a simple lagging condition. It looks for a specific three-step sequence of events. This sequence validates a genuine shift in market control from sellers to buyers (or vice-versa), filtering out false moves.
### Step 1: The Liquidity Purge 🎯
First, the indicator identifies recent, significant swing highs and lows on the chart. These price levels are natural magnets for liquidity, as many traders place their stop-loss orders there.
* **A Bullish Setup** begins when the price first dips **below a recent swing low**. This action is often an engineered move to "purge" or "sweep" the sell-side liquidity resting there before a move higher.
* **A Bearish Setup** begins with a price spike **above a recent swing high**, clearing out the buy-side liquidity.
This initial phase is designed to trap traders on the wrong side of the market before the true move begins.
### Step 2: The Market Structure Shift (The Confirmation) 🔄
After the liquidity has been taken, the indicator needs confirmation that a real power shift has occurred. This is confirmed by a **Market Structure Shift (MSS)**.
* After a **bullish purge (of a low)**, an MSS is confirmed when the price aggressively rallies and closes **above a recent swing *high***. This proves that buyers have not only absorbed all the selling but are now strong enough to break previous resistance levels.
* After a **bearish purge (of a high)**, an MSS is confirmed when the price falls and closes **below a recent swing *low***, showing that sellers are now decisively in command.
### Step 3: The Price Imbalance (The Entry Zone) GAP) is created during the same powerful move that caused the Market Structure Shift. A Fair Value Gap, or **price imbalance**, is a three-candle pattern that signifies a very aggressive, one-sided move, leaving a gap in the market that price will often seek to re-fill.
This FVG acts as the signature of institutional activity and becomes a high-probability zone for planning a trade entry.
---
## How to Use the Indicator in Your Trading
The true strength of this indicator lies in combining the higher-timeframe signal with the immediate context of your trading timeframe.
### Reading the Signals and Visuals
* **`BUY` / `SELL` Labels:** These are your primary signals, generated from the **"Signal Timeframe"** you select (e.g., Daily). A "BUY" label indicates that the complete three-phase bullish pattern has been confirmed on that higher timeframe.
* **Dotted Lines (Liquidity Levels):** The red and green dotted lines on your chart mark the most recent swing high and low on your **current timeframe**. These are the levels to watch for a potential "Liquidity Purge."
* **Colored Boxes (Imbalance Zones):** The green (bullish) and red (bearish) boxes highlight the Fair Value Gaps on your **current timeframe**. These are your potential entry zones.
### A Potential Trading Strategy
1. **Set Your Signal Timeframe:** Choose a higher timeframe that you use to define the overall trend (e.g., 'D' for daily, '4H' for 4-hour).
2. **Wait for an HTF Signal:** Patiently wait for a `BUY` or `SELL` label to appear. This is your cue to begin actively looking for an entry.
3. **Find a Local Entry Zone:** Once a `BUY` signal from the higher timeframe appears, look for the price on your current chart to retrace into a nearby **bullish FVG (green box)**. For a `SELL` signal, look for a pullback into a **bearish FVG (red box)**.
4. **Entry:** Plan your entry as the price tests this imbalance zone.
5. **Stop Loss:** A logical stop loss is critical. For a buy trade, place your stop below the swing low that was formed during the MSS. For a sell trade, place it above the corresponding swing high.
6. **Take Profit:** Aim for a significant liquidity level on a higher timeframe or use a predetermined risk-to-reward ratio (e.g., 1:2, 1:3).
---
## Customizing the Settings
* **`Signal Timeframe`**: The most critical setting. It determines the timeframe from which the core buy/sell logic originates. A Daily signal will carry more weight than an H1 signal.
* **`Liquidity/MSS Lookback`**: This controls the significance of the swing points the indicator uses.
* **Higher value:** Finds major, long-term swing points, leading to fewer but more powerful signals.
* **Lower value:** Finds minor, short-term swing points, leading to more frequent but potentially less reliable signals.
* **`Show Current TF Fair Value Gaps`**: This toggles the visibility of the imbalance zones (FVG boxes) on your chart. It is highly recommended to keep this enabled to easily spot your entry areas.
Market Trades PinescriptlabsThis algorithm is designed to emulate the true order book of exchanges by showing the quantity of transactions of an asset in real-time, while identifying patterns of high activity and volatility in the market through the analysis of volume and price movements. 📈 Below, I explain how to understand and use the information provided by the chart, along with the trades table:
Identification of High Activity Zones 🚀
The algorithm calculates the average volume and the rate of price change to detect areas with spikes in activity. This is visualized on the chart with labels "Volatility Spike Buy" and "Volatility Spike Sell":
Volatility Spike Buy: Indicates an unusual increase in volatility in the buying market, suggesting a potential surge in buying interest. 🟢
Volatility Spike Sell: Signals an increase in volatility in the selling market, which may indicate selling pressure or a sudden massive sell-off. 🔴
Market Trades Table 📋
The table provides a detailed view of the latest trades:
Price: Displays the price at which each trade was executed. 💵
Quantity (Traded): Indicates the amount of the asset traded. 💰
Type of Trade (Buy/Sell): Differentiates between buy (Buy) and sell (Sell) operations based on volume and strength. 🔄
Date and Time: Refers to the start of the calculated trading candle. ⏰
Recency: Identifies the most recent trade to facilitate tracking of current activity. 🔍
Analysis of Trade Imbalance ⚖️
The imbalance between buys and sells is calculated based on the volume of both. This indicator helps to understand whether the market has a tendency toward buying or selling, showing if there is greater strength on one side of the market.
A positive imbalance suggests more buying pressure. 📊
A negative imbalance indicates greater selling pressure. 📉
Volume Presentation
Visualizes the volume of buying and selling in the market, allowing the identification of buying or selling strength through the size of the volume candle. 🔍
Español :
"Este algoritmo está diseñado para emular el verdadero libro de órdenes de los intercambios al mostrar la cantidad de transacciones de un activo en tiempo real, mientras identifica patrones de alta actividad y volatilidad en el mercado a través del análisis de volumen y movimientos de precios. 📈 A continuación, explico cómo entender y usar la información proporcionada por el gráfico, junto con la tabla de operaciones:"
Identificación de Zonas de Alta Actividad 🚀
El algoritmo calcula el volumen promedio y la velocidad de cambio de precio para detectar zonas con picos de actividad. Esto se visualiza en el gráfico con etiquetas de "Volatility Spike Buy" y "Volatility Spike Sell":
Volatility Spike Buy: Indica un incremento inusual de volatilidad en el mercado de compra, sugiriendo un posible interés de compra elevado. 🟢
Volatility Spike Sell: Señala un incremento de volatilidad en el mercado de venta, lo cual puede indicar presión de venta o una venta masiva repentina. 🔴
Tabla de Operaciones en el Mercado (Market Trades) 📋
La tabla proporciona una vista detallada de las últimas operaciones:
Precio: Muestra el precio al cual se realizó cada operación. 💵
Cantidad (Transaccionada): Indica la cantidad del activo transaccionada. 💰
Tipo de operación (Buy/Sell): Diferencia entre operaciones de compra (Buy) y de venta (Sell), dependiendo del volumen y fuerza. 🔄
Fecha y Hora: Refleja el inicio de la vela de negociación calculada. ⏰
Recency: Identifica la operación más reciente para facilitar el seguimiento de la actividad actual. 🔍
Análisis de Desequilibrio de Operaciones (Imbalance) ⚖️
El desequilibrio entre compras y ventas se calcula con base en el volumen de ambas. Este indicador ayuda a entender si el mercado tiene una tendencia hacia la compra o venta, mostrando si hay una mayor fuerza en uno de los lados del mercado.
Un desequilibrio positivo sugiere más presión de compra. 📊
Un desequilibrio negativo indica mayor presión de venta. 📉
Presentación en Volumen
Visualiza el volumen de compra y venta en el mercado, permitiendo identificar mediante el tamaño de la vela de volumen la fuerza, ya sea compradora o vendedora. 🔍
Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot
Unmitigated MTF High Low Pro - Cave Diving Bookmap Heatmap Plot
---
## 📖 Table of Contents
1. (#what-this-indicator-does)
2. (#core-concepts)
3. (#visual-components)
4. (#the-cave-diving-framework)
5. (#how-to-use-it-for-trading)
6. (#settings--customization)
7. (#best-practices)
8. (#common-scenarios)
---
## What This Indicator Does
The **Unmitigated MTF High Low v2.0** tracks unmitigated (untouch) high and low levels across multiple timeframes, helping you identify key support and resistance zones that the market hasn't revisited yet. Think of it as a sophisticated memory system for price action - it remembers where price has been, and more importantly, where it *hasn't been back to*.
### Why "Unmitigated" Matters
In futures trading, especially on instruments like NQ and ES, the market has a tendency to revisit levels where liquidity was left behind. An "unmitigated" level is one that hasn't been touched since it was formed. These levels often act as magnets for price, and understanding their age and proximity gives you a significant edge in:
- **Entry timing** - Waiting for price to approach tested levels
- **Exit planning** - Taking profits before ancient resistance/support
- **Risk management** - Avoiding entries when approaching multiple old levels
- **Liquidity mapping** - Visualizing where orders likely cluster
---
## Core Concepts
### 1. **Sessions & Age**
The indicator uses **New York trading sessions** (6:00 PM to 5:59 PM NY time) as the primary time measurement. This aligns with how futures markets naturally segment their activity.
**Age Categories:**
- 🟢 **New (0-1 sessions)** - Fresh levels, recently formed
- 🟡 **Medium (2-3 sessions)** - Tested by time, gaining significance
- 🔴 **Old (4-6 sessions)** - Highly significant, survived multiple days
- 🟣 **Ancient (7+ sessions)** - Extreme significance, major support/resistance
The longer a level remains unmitigated, the more significant it becomes. Think of it like compound interest - time adds weight to these zones.
### 2. **Multi-Timeframe Tracking**
You can set the indicator to track high/low levels from any timeframe (default is 15 minutes). This means you're watching for unmitigated 15-minute highs and lows while trading on, say, a 1-minute or 5-minute chart.
**Why this matters:**
- Higher timeframe levels have more weight
- You can see multiple timeframe structure simultaneously
- Helps you avoid fighting larger timeframe momentum
### 3. **Mitigation**
A level becomes "mitigated" (deactivated) when price touches it:
- **High levels** are mitigated when price reaches or exceeds them
- **Low levels** are mitigated when price reaches or goes below them
Once mitigated, the level disappears from view. The indicator only shows you the untouch levels that still matter.
---
## Visual Components
### 📊 The Dashboard Table
Located in the corner of your chart (configurable), the table shows:
```
┌─────────┬───────────┬────────┬─────┬───────┐
│ Level │ Price │ Points │ Age │ % │
├─────────┼───────────┼────────┼─────┼───────┤
│ ↑↑↑↑↑ │ 21,450.25 │ +45.50 │ 8 │ +0.21%│ ← 5th High (Ancient)
│ ↑↑↑↑ │ 21,430.00 │ +25.25 │ 5 │ +0.12%│ ← 4th High (Old)
│ ↑↑↑ │ 21,420.50 │ +15.75 │ 3 │ +0.07%│ ← 3rd High (Medium)
│ ↑↑ │ 21,412.00 │ +7.25 │ 1 │ +0.03%│ ← 2nd High (New)
│ ↑ ⚠️ │ 21,408.25 │ +3.50 │ 0 │ +0.02%│ ← 1st High (Proximity Alert!)
├─────────┼───────────┼────────┼─────┼───────┤
│ 15 mins │ 🟢 │ Δ 8.75 │ 2U │ │ ← Status Row
├─────────┼───────────┼────────┼─────┼───────┤
│ ↓ ⚠️ │ 21,399.50 │ -5.25 │ 0 │ -0.02%│ ← 1st Low (Proximity Alert!)
│ ↓↓ │ 21,395.00 │ -9.75 │ 2 │ -0.05%│ ← 2nd Low (Medium)
│ ↓↓↓ │ 21,385.25 │ -19.50 │ 4 │ -0.09%│ ← 3rd Low (Old)
│ ↓↓↓↓ │ 21,370.00 │ -34.75 │ 6 │ -0.16%│ ← 4th Low (Old)
│ ↓↓↓↓↓ │ 21,350.75 │ -54.00 │ 9 │ -0.25%│ ← 5th Low (Ancient)
├─────────┼───────────┼────────┼─────┼───────┤
│ 📊 15↑ / 12↓ │ ← Statistics (optional)
└─────────┴───────────┴────────┴─────┴───────┘
```
**Reading the Table:**
- **Level Column**: Number of arrows indicates position (1-5), color shows age
- **Price**: The actual price level
- **Points**: Distance from current price (+ for highs, - for lows)
- **Age**: Number of full sessions since creation
- **%**: Percentage distance from current price
- **⚠️**: Proximity alert - price is within threshold distance
- **Status Row**: Shows timeframe, direction (🟢 bullish/🔴 bearish), tunnel width (Δ), and Strat pattern
### 📈 Visual Elements on Chart
**1. Level Lines**
- Horizontal lines showing each unmitigated level
- **Color-coded by age**: Bright colors = new, darker = older, deep purple/teal = ancient
- **Line style**: Customizable (solid, dashed, dotted)
- Automatically turn **yellow** when price gets close (proximity alert)
**2. Price Labels**
- Show the exact price and age: "21,450.25 (8d)"
- Fixed at small size for clean readability
- Positioned with configurable offset from current bar
**3. Bands (Optional)**
- Shaded zones between pairs of unmitigated levels
- Default: Between 1st and 2nd levels (the "tunnel")
- Can switch to 1st-3rd, 2nd-3rd, or disable entirely
- **Upper band** (pink/maroon) - Between unmitigated highs
- **Lower band** (blue/teal) - Between unmitigated lows
- These represent the "no man's land" or consolidation zones
---
## The Cave Diving Framework
This indicator is designed around the **Cave Diving Trading Framework** - a psychological and technical approach that maps cave diving safety protocols to futures trading risk management.
### 🤿 The Core Metaphor
**Cave diving has clear danger zones based on depth and overhead environment. Your trading should too.**
#### Shallow Water (New Levels, 0-1 Sessions)
- **Light**: Bright colors (bright red highs, bright green lows)
- **Psychology**: Fresh territory, recently tested
- **Trading**: Be aware but not overly concerned
- **Cave Diving Parallel**: You can see the surface, easy exit
#### Penetration Depth (Medium Levels, 2-3 Sessions)
- **Light**: Medium intensity colors
- **Psychology**: Building significance, market memory forming
- **Trading**: Start respecting these levels for entries/exits
- **Cave Diving Parallel**: Deeper in, need to track your line back
#### Deep Dive Zone (Old Levels, 4-6 Sessions)
- **Light**: Dark colors (deep maroon, dark blue)
- **Psychology**: Highly tested support/resistance
- **Trading**: Major decision points, plan accordingly
- **Cave Diving Parallel**: Significant overhead, careful navigation required
#### Overhead Environment (Ancient Levels, 7+ Sessions)
- **Light**: Very dark, purple/deep teal
- **Psychology**: Extreme caution required, major liquidity zones
- **Trading**: These are your "turn back" signals - don't fight ancient levels
- **Cave Diving Parallel**: Maximum danger, no room for error
### 🎯 The Proximity Alert System
Just like a cave diver's depth gauge that warns at critical thresholds, the proximity alerts (⚠️) tell you when you're entering a danger zone. When price gets within your configured threshold (default 5 points), the indicator:
- Highlights the level in **yellow** on the chart
- Shows **⚠️** in the table
- Signals: "You're entering a high-significance zone - adjust your position accordingly"
This prevents the trading equivalent of going deeper into a cave without checking your air supply.
---
## How to Use It for Trading
### 🎯 Entry Strategies
**1. The "Bounce Setup" (Mean Reversion)**
- Wait for price to approach an old or ancient unmitigated level
- Look for confluence: multiple levels nearby, bands narrowing
- Enter when price shows rejection (reversal candle patterns)
- **Example**: Price drops to a 6-session-old low, shows bullish engulfing → Long entry
**2. The "Break and Retest" (Trend Following)**
- Wait for price to break through an unmitigated level (mitigates it)
- Enter on the retest of the newly broken level
- **Example**: Price breaks above 4-session-old high → Wait for pullback to that level → Long entry
**3. The "Tunnel Trade" (Range Trading)**
- When bands are active, trade the range between 1st-2nd levels
- Short near upper band resistance, long near lower band support
- Exit at opposite side or when bands break
### 🚨 Risk Management Rules
**The Ancient Level Rule**
> Never fight ancient levels (7+ sessions). If you're long and approaching an ancient high, take profits. If you're short and approaching an ancient low, take profits.
These levels have survived a full trading week without being touched - there's likely significant liquidity and institutional interest there.
**The Proximity Exit Rule**
> When you see ⚠️ proximity alerts on multiple levels above/below your position, tighten stops or scale out.
This is your "overhead environment" warning. You're in dangerous territory.
**The New Level Filter**
> Be cautious taking positions based solely on new levels (0-1 sessions). Wait for them to age or combine with other confluence.
Fresh levels haven't been tested by time. They're like unconfirmed support/resistance.
### 📊 Reading Market Structure
**Bullish Structure (🟢 in status row)**
- Unmitigated lows are aging and holding
- Price respecting the lower band
- Old lows below acting as strong support
- **Bias**: Look for long entries at lower levels
**Bearish Structure (🔴 in status row)**
- Unmitigated highs are aging and holding
- Price respecting the upper band
- Old highs above acting as strong resistance
- **Bias**: Look for short entries at higher levels
**The Tunnel Compression**
- When the Δ (delta) in the status row is small, levels are tight
- This often precedes a breakout
- **Trading**: Wait for breakout direction, then trade the break
### 🔄 Strat Integration
The indicator shows Strat patterns in the status row:
- **1** - Inside bar (consolidation)
- **2U** - Broke high only (bullish)
- **2D** - Broke low only (bearish)
- **3** - Broke both (wide range, volatility)
Use these with the unmitigated levels:
- **2U near old high** → Potential resistance, watch for rejection
- **2D near old low** → Potential support, watch for bounce
- **3 pattern** → High volatility, respect wider stops
---
## Settings & Customization
### 📅 Session & Timeframe Settings
**HL Interval** (Default: 15 minutes)
- The timeframe for high/low calculation
- **Lower (1m, 5m)**: More levels, more noise, good for scalping
- **Higher (30m, 1H, 4H)**: Fewer levels, stronger significance, good for swing trading
- **Recommendation for NQ/ES**: 15m or 30m for day trading, 1H for swing trading
**Session Age Threshold** (Default: 2)
- How many sessions before a level is considered "old"
- Lower = more levels classified as old
- Higher = stricter definition of significance
### 📊 Level Display Options
**Show Level Lines**
- Toggle: Display horizontal lines for each level
- **Turn off** if you prefer a cleaner chart and only want the table
**Show Level Labels**
- Toggle: Display price labels on the chart
- **Turn off** for minimal visual clutter
**Label Offset**
- Distance (in bars) from current price bar to place labels
- Increase if labels overlap with price action
**Level Line Width & Style**
- Customize visual appearance
- **Thin solid**: Minimal distraction
- **Thick dashed**: High visibility
### 🎨 Age-Based Color Coding
Customize colors for each age category (high and low separately):
- **New (0-1 sessions)**: Default bright red/green
- **Medium (2-3 sessions)**: Default medium intensity
- **Old (4+ sessions)**: Default dark red/blue
- **Ancient (7+ sessions)**: Default deep purple/teal
**Color Strategy Tips:**
- Keep ancient levels in highly contrasting colors
- Use opacity (transparency) if you want subtler lines
- Match your chart's color scheme for aesthetic coherence
### 🎯 Band Settings
**Band Mode**
- **1st-2nd** (Default): The primary "tunnel" between most recent levels
- **1st-3rd**: Wider band, more room for price action
- **2nd-3rd**: Band between less immediate levels
- **Disabled**: No bands, lines only
**Band Colors & Borders**
- Customize fill color and border separately
- **Tip**: Keep bands very transparent (90-95% transparency) to avoid obscuring price action
### ⚠️ Proximity Alert Settings
**Enable Proximity Alerts**
- Toggle: Turn on/off the warning system
- When enabled, levels within threshold distance show ⚠️ and turn yellow
**Alert Threshold** (Default: 5.0 points)
- Distance in points to trigger the alert
- **For NQ**: 5-10 points is reasonable
- **For ES**: 2-5 points is reasonable
- **For MES/MNQ**: Scale down proportionally
**Alert Highlight Color**
- The color lines/labels turn when proximity is triggered
- Default: Yellow (high visibility)
### 📋 Table Settings
**Show Table**
- Toggle: Display the dashboard table
**Table Location**
- Top Left, Top Right, Bottom Left, Bottom Right
- Choose based on your chart layout and other indicators
**Text Size**
- Tiny, Small, Normal, Large
- **Recommendation**: Normal for 1080p monitors, Small for 4K
**Show % Distance**
- Toggle: Add percentage distance column to table
- Useful for comparing relative distances across different price ranges
**Show Statistics Row**
- Toggle: Show total count of unmitigated highs/lows
- Format: "📊 15↑ / 12↓" (15 unmitigated highs, 12 unmitigated lows)
- Useful for gauging overall market structure
### ⚡ Performance Settings
**Enable Level Cleanup**
- Automatically remove very old levels to maintain performance
- **Keep on** unless you want unlimited history
**Max Lookback Levels** (Default: 10,000)
- Maximum number of levels to track
- 10,000 ≈ 6+ months of 15-minute bars
- **Increase** if you want more history
- **Decrease** if experiencing performance issues
**Max Boxes Per Band** (Default: 245)
- TradingView limit is 500 total boxes
- With 2 bands, 245 each = 490 total (safe maximum)
---
## Best Practices
### 🎯 Position Management
**1. Scaling In Near Old Levels**
```
Price approaching 5-session-old low:
- First position: 30% size at proximity alert (⚠️)
- Second position: 40% size at exact level
- Third position: 30% size if it shows strong rejection
```
**2. Scaling Out Near Ancient Levels**
```
Holding long position, approaching 8-session-old high:
- Exit 50% at proximity alert (⚠️)
- Exit 30% at exact level
- Trail stop on remaining 20%
```
### 🧠 Trading Psychology Integration
Drawing from principles in *The Mountain Is You*, this indicator helps you:
**1. Recognize Self-Sabotage Patterns**
- **The Premature Entry**: Entering before price reaches your planned level
- **Solution**: Set alerts at unmitigated levels, wait for proximity warnings
- **The Profit-Taking Problem**: Exiting too early from fear
- **Solution**: Identify the next unmitigated level and commit to holding until proximity alert
- **The Loss Holding**: Refusing to exit losing trades
- **Solution**: When price breaks through and mitigates your entry level, it's telling you the structure changed
**2. Building Better Habits**
The color-coded age system trains your brain to:
- Respect levels that have proven themselves over time
- Distinguish between noise (new levels) and structure (old levels)
- Make decisions based on objective data, not fear or greed
**3. Emotional Regulation**
The proximity alerts serve as:
- **Circuit breakers** - Forcing you to re-evaluate before dangerous zones
- **Permission to act** - Giving you objective signals to exit without second-guessing
- **Validation** - Confirming when you're in alignment with market structure
### 📝 Pre-Market Routine
**Daily Setup Checklist:**
1. ✅ Identify the 3 nearest unmitigated highs above current price
2. ✅ Identify the 3 nearest unmitigated lows below current price
3. ✅ Note which are ancient (7+) - these are your "no-go" zones
4. ✅ Check the tunnel width (Δ in status row) - tight or wide?
5. ✅ Set alerts at the 1st high and 1st low for proximity warnings
6. ✅ Plan: "If we go up, I exit at ___. If we go down, I enter at ___."
### 🔄 Timeframe Confluence
**Multi-Timeframe Strategy:**
Run the indicator on **three instances**:
- **15-minute** (short-term structure)
- **1-hour** (intermediate structure)
- **4-hour** (major structure)
**Strong Setup**: When all three timeframes show unmitigated levels converging at the same price zone.
**Example:**
- 15m: Old low at 21,400
- 1H: Ancient low at 21,398
- 4H: Ancient low at 21,395
- **Result**: 21,395-21,400 is a monster support zone
### ⚠️ What This Indicator Doesn't Do
**Not a Crystal Ball**
- It doesn't predict where price will go
- It shows you where price *hasn't been* and how long it's been avoided
- The trading decisions are still yours
**Not an Entry Signal Generator**
- It provides context and structure
- You need to combine it with your entry methodology (price action, indicators, order flow, etc.)
**Not Foolproof**
- Ancient levels get broken
- Proximity alerts can trigger early in strong trends
- The market doesn't "owe" you a reversal at any level
---
## Common Scenarios
### Scenario 1: "Level Cluster Ahead"
**Situation**: You're long at 21,400. The table shows:
- 1st High: 21,425 (2 sessions old)
- 2nd High: 21,428 (3 sessions old)
- 3rd High: 21,435 (6 sessions old)
**Interpretation**: There's a resistance cluster just 25-35 points away. The 6-session-old level is particularly significant.
**Action**:
- Set first profit target at 21,420 (before the cluster)
- Set second target at 21,426 (between 1st and 2nd)
- Trail remaining position, but be ready to exit on rejection at 21,435
**Cave Diving Analogy**: You're approaching an overhead section with limited clearance. Lighten your load (reduce position) before entering.
---
### Scenario 2: "Ancient Level Approaches"
**Situation**: The market is grinding higher. You see ⚠️ appear next to a 9-session-old high at 21,500.
**Interpretation**: This level has survived over a week without being touched. Massive potential liquidity zone.
**Action**:
- If long, this is your absolute exit zone. Take profits before or at level.
- If looking to short, wait for clear rejection (price taps and reverses)
- Don't try to buy the breakout until it clearly breaks and retests
**Cave Diving Analogy**: Your dive computer is beeping - you've reached your planned turn-back depth. No matter how interesting it looks ahead, honor your plan.
---
### Scenario 3: "Mitigated Levels Create New Structure"
**Situation**: Price breaks and mitigates the 1st High. The previous 2nd High becomes the new 1st High.
**Interpretation**: The structure just shifted. What was the 2nd level is now most relevant.
**Action**:
- Watch how price reacts to the newly-mitigated level
- If it holds below (acts as resistance), bearish
- If it reclaims and holds above (acts as support), bullish
- The NEW 1st High is your next target/resistance
**Cave Diving Analogy**: You've passed through a restriction - the cave layout ahead is different now. Update your mental map.
---
### Scenario 4: "Tight Tunnel, Upcoming Breakout"
**Situation**: The Δ in the status row shows 3.25 points (very tight). Bands are converging.
**Interpretation**: Price is consolidating between very close unmitigated levels. Breakout likely.
**Action**:
- Don't try to predict direction
- Set alerts above 1st High and below 1st Low
- When break occurs, trade the retest
- Expect volatility - use wider stops
**Cave Diving Analogy**: You're in a narrow passage. Movement will be sudden and directional once it starts.
---
### Scenario 5: "Imbalanced Structure"
**Situation**: The statistics row shows "📊 22↑ / 7↓"
**Interpretation**: There are many more unmitigated highs than lows. This suggests:
- Price has been declining (hitting lows, leaving highs behind)
- Potential bullish reversal zone (lots of overhead supply mitigated)
- Or continued bearish structure (resistance everywhere above)
**Action**:
- Look at the age of those 22 highs
- If mostly new (0-2 sessions): Just a recent downmove, not significant yet
- If many old/ancient: Strong overhead resistance, be cautious on longs
- Compare to price action: Is price respecting the remaining lows?
**Cave Diving Analogy**: You've swam deeper than your starting point - most of your markers are above you now. Are you planning the ascent or going deeper?
---
## Final Thoughts: The Philosophy
This indicator is built on a simple but powerful principle: **The market has memory, and that memory has weight.**
Every unmitigated level represents:
- Liquidity left behind
- Orders waiting to be filled
- Institutional interest potentially parked
- Psychological significance for participants
The longer a level remains unmitigated, the more "charged" it becomes. When price finally revisits it, something significant usually happens - either a strong reversal or a definitive break.
Your job as a trader isn't to predict which outcome will occur. Your job is to:
1. **Recognize** when you're approaching these charged zones
2. **Respect** them by adjusting position size and risk
3. **React** appropriately based on how price behaves at them
4. **Remember** that ancient levels (like ancient wisdom) deserve extra reverence
The Cave Diving Framework embedded in this indicator serves as a constant reminder: Trading, like cave diving, requires rigorous respect for environmental hazards, meticulous planning, and the discipline to turn back when your limits are reached.
**Every proximity alert is the market asking you**: *"Do you really want to go deeper?"*
Sometimes the answer is yes - when your setup, confluence, and risk management all align.
Often, the answer should be no - and that's the trader avoiding the accident that would have happened to the gambler.
---
### 🎯 Quick Reference Card
**Color System:**
- 🟢 Bright colors = New (0-1 sessions) = Shallow water
- 🟡 Medium colors = Medium (2-3 sessions) = Penetration depth
- 🔴 Dark colors = Old (4-6 sessions) = Deep dive zone
- 🟣 Deep dark colors = Ancient (7+ sessions) = Overhead environment
**Symbols:**
- ↑ ↑↑ ↑↑↑ ↑↑↑↑ ↑↑↑↑↑ = High levels (1st through 5th)
- ↓ ↓↓ ↓↓↓ ↓↓↓↓ ↓↓↓↓↓ = Low levels (1st through 5th)
- ⚠️ = Proximity alert (danger zone)
- 🟢 = Bullish structure
- 🔴 = Bearish structure
- Δ = Tunnel width (distance between 1st high and 1st low)
**Critical Rules:**
1. Never fight ancient levels (7+ sessions)
2. Respect proximity alerts (⚠️)
3. Scale out near old/ancient resistance
4. Wait for confluence when entering
5. Let mitigated levels prove their new role
---
**Remember**: The indicator gives you structure. The trading edge comes from your discipline in respecting that structure.
Trade safe, trade smart, and always know your exit before your entry. 🎯
---
*"You don't become your best self by denying your patterns. You become your best self by recognizing them, understanding them, and choosing differently." - Adapted from The Mountain Is You*
In trading: You don't become profitable by ignoring market structure. You become profitable by recognizing it, understanding it, and choosing your entries accordingly.
Bitcoin Multibook v1.0 [Apollo Algo]Bitcoin Multibook v1.0 by Apollo Algo is an advanced market depth and order flow visualization tool that brings professional-grade multi-exchange order book analysis to TradingView. Inspired by Bookmap's multibook functionality and built upon LucF's original single "Tape" indicator concept, this tool aggregates real-time trading data from multiple Bitcoin exchanges into a unified tape display.
Credits & Attribution
This indicator is an evolution of the original "Tape" indicator created by LucF (TradingView: @LucF). The multibook enhancement and Bitcoin-specific optimizations were developed by Apollo Algo to provide traders with institutional-grade market microstructure visibility across major Bitcoin trading venues.
Purpose & Philosophy
Bitcoin leads the entire cryptocurrency market. By monitoring order flow across the primary Bitcoin exchanges simultaneously, traders gain crucial insights into:
Cross-exchange arbitrage opportunities
Institutional order flow patterns
Market maker positioning
True market sentiment beyond single-exchange data
Key Features
📊 Multi-Exchange Data Aggregation
Real-time tape from 3 major exchanges:
Binance (BTCUSDT)
Coinbase (BTCUSD)
Kraken (BTCUSD)
Customizable source inputs for any trading pair
Synchronized price and volume tracking
Exchange name identification in tape display
📈 Advanced Tape Display
Dynamic tape visualization with configurable line quantity (0-50 lines)
Directional flow indicators (＋/－ symbols for price changes)
Exchange identification for each trade
Volume precision control (0-16 decimal places)
Flexible positioning (9 screen positions available)
Real-time only operation for accurate order flow
🎯 Volume Delta Analysis
Real-time cumulative volume delta calculation
Divergence detection (price vs. volume direction)
Colored visual feedback for market sentiment
Total session delta displayed in footer
Cross-exchange delta aggregation
🚨 Smart Alert System
Marker 1: Volume Delta Bumps (⬆⬇)
Triggers on consecutive volume delta increases
Identifies momentum acceleration points
Filters out divergent movements
Marker 2: Volume Delta Thresholds (⇑⇓)
Fires when delta exceeds user-defined thresholds
Catches significant order imbalances
Excludes divergence conditions
Marker 3: Large Volume Detection (⤊⤋)
Highlights unusually large individual trades
Spots potential institutional activity
Direction-specific triggers
Configure Data Sources
Adjust exchange pairs if needed (e.g., for altcoin analysis)
Leave blank to disable specific exchanges
Use format: EXCHANGE:SYMBOL
Customize Display
Set tape line quantity based on screen size
Position the table for optimal visibility
Choose color scheme (text or background)
Adjust text size for readability
Configure Alerts
Enable desired markers (1, 2, or 3)
Set volume thresholds appropriate for your timeframe
Choose direction (Longs, Shorts, or Both)
Create TradingView alerts on marker signals
Trading Applications
Scalping (1-5 min)
Monitor tape speed for momentum shifts
Watch for cross-exchange divergences
Track large volume clusters
Use Marker 1 for quick momentum trades
Day Trading (5-60 min)
Identify accumulation/distribution phases
Spot institutional positioning
Confirm breakout validity with volume delta
Use Marker 2 for significant imbalances
Swing Trading (1H+)
Analyze volume delta trends
Detect smart money rotation
Time entries with order flow confirmation
Use Marker 3 for institutional footprints
Advanced Techniques
Cross-Exchange Arbitrage Detection
When price disparities appear between exchanges:
Immediate Opportunity: Price differences > 0.1%
Bot Activity: Rapid convergence patterns
Liquidity Vacuum: One exchange leading others
Divergence Trading Strategies
Volume delta diverging from price direction:
Absorption: Strong hands entering (price down, delta up)
Distribution: Smart money exiting (price up, delta down)
Reversal Setup: Sustained divergence over multiple bars
Institutional Footprint Recognition
Large volume characteristics:
Simultaneous Spikes: Same timestamp across exchanges
TWAP Patterns: Consistent volume over time
Iceberg Orders: Repeated same-size trades
Pine Script v6 Enhancements
Type Safety Improvements
Strict boolean type handling
Explicit type declarations
Enhanced error checking
Performance Optimizations
Improved request.security() function
Better memory management with arrays
Optimized table rendering
Modern Syntax Updates
indicator() instead of study()
Namespaced math functions (math.round())
Typed input functions (input.int(), input.float())
Performance Considerations
System Requirements
Real-time Data: Essential for tape operation
Multiple Security Calls: May impact performance
Array Operations: Memory intensive with high line counts
Table Rendering: CPU usage increases with tape size
Optimization Tips
Reduce tape lines for better performance
Increase volume filter to reduce noise
Disable unused markers
Use text-only coloring for faster rendering
Displacement Pulse Markers - sudoThis indicator is designed to highlight sudden and meaningful bursts of price movement. These bursts are called displacement pulses. A pulse appears when price expands with force, closes near the extreme of its own bar, and breaks through a recent structural level. The indicator places small circles above or below the candle to signal these moments so that traders can quickly spot abnormal movement and potential shifts in market intent.
How it works
The indicator evaluates each bar for three conditions:
Range expansion relative to volatility
The bar must be larger than normal. It compares the bar range to ATR and requires that range to exceed a multiple of ATR. When this condition is met, the bar is considered a large or forceful bar.
Close location within the bar
The bar has to close near its own high or low. A close near the top suggests strong buying force. A close near the bottom suggests strong selling force. The user can adjust what percentage qualifies as near the top or bottom.
Break of recent structure
The bar must break a recent pivot level. For bullish pulses, the high of the bar must exceed the highest high of the past N bars. For bearish pulses, the low must break the lowest low of the past N bars. This confirms that the move did not merely expand but actually displaced prior structure.
When all conditions align
A bullish displacement pulse is marked with a small aqua circle below the bar.
A bearish displacement pulse is marked with a fuchsia circle above the bar.
The result is a clean on chart visualization of where price produced meaningful displacement.
How traders can use this
Spot abnormal momentum
Pulses can highlight areas where price behaves with more force than usual. These events often appear around news, liquidity sweeps, or algorithmic shifts.
Identify possible regime changes
A pulse that breaks structure while closing near the extreme may signal a transition from a ranging environment to a trending one. It does not predict direction but flags where displacement actually occurred.
Support narrative building
When combined with levels, zones, or other frameworks, pulses can confirm whether the market had enough strength to break through an area with conviction.
Filter trades or refine entries
Some traders may choose to trade in the direction of recent pulses during trending conditions. Others may only enter a trade after a pulse confirms that the market has shifted away from compression.
Track where the market is imbalanced
A pulse visually marks whether buyers or sellers were able to generate strong initiative movement. These points often become useful reference zones for continuation or rejection analysis.
Why this indicator is useful
It reduces complex logic into simple visual markers. Instead of scanning bar by bar for structural breaks, volatility expansions, and close strength, the indicator does this automatically and highlights only the bars that meet all criteria. This keeps the chart clean while still providing precision about where displacement actually occurred.
Orderflow - Full suiteThis indicator provides a comprehensive institutional view of the market by aggregating real-time volume and delta data from the four largest crypto derivatives exchanges: Binance, Bybit, OKX, and Gate.io.
Unlike standard indicators that rely on a single data feed, this tool normalizes and combines volume from multiple sources to reveal the "True Market Volume." It features a sophisticated 1-Minute Granularity Scanner that analyzes the underlying 1m data within your current timeframe to detect hidden whale activity that is often smoothed out on higher timeframe charts.
Key Features:
🌊 Multi-Exchange Aggregation: Automatically fetches and sums volume from Binance, Bybit, OKX, and Gate.io. It handles currency normalization (converting USDT volume to Base Currency) to ensure accurate apples-to-apples calculations.
🐋 1-Minute Big Trade Scanner: The script scans the 1-minute candles underlying your current bar. It detects "Whale," "Huge," and "Large" trades that occur within a single minute, revealing aggressive market participants hiding inside consolidated candles.
🛡️ Absorption Detection: Identifies specific moments where high aggregated volume meets minimal price movement, highlighting areas where passive limit orders are absorbing aggressive flow.
📉 CVD Divergence: accumulating Aggregated Delta to spot divergences between price action and order flow (e.g., Price making Lower Lows while CVD makes Higher Lows).
📊 Dynamic Volume Profile: A fully functional Volume Profile driven by the global aggregated data, including Value Area (VAH/VAL) and POC logic.
⚖️ Market Balance & Retests: Automatically detects if the market is Balanced or Imbalanced and highlights valid retests of Value Area High/Low levels.
How to Use:
Bubbles: Represent Big Trades detected on the 1m timeframe (Blue = Buy, Red = Sell). Size indicates relative volume.
Diamonds: Indicate Absorption events (High volume, zero price progress).
Triangles: Indicate CVD Divergences (Potential reversals).
Right Panel: Displays the Volume Profile and Key Levels based on the total market liquidity.
Note: This indicator uses request.security_lower_tf to scan granular data. It is optimized for Crypto Perpetual pairs (USDT.P).
Adaptive Support and Resistance LevelsAdaptive Support and Resistance Levels
This indicator is a comprehensive institutional-grade trading tool designed to visualize Auction Market Theory (AMT), Support and Resistance concepts directly on the price chart. It is built for traders who require a deep understanding of market structure without the visual clutter of standard retail indicators.
Key Features:
1] Fractal Adaptive Engine:
The indicator automatically adjusts its calculations based on your timeframe.
-Intraday (1m-15m): Displays Daily Levels.
-Swing/Positional (30m-1H): Displays Weekly Levels.
-Long Term (Daily+): Displays Monthly Levels.
2]Untested Levels:
-Identifies levels from previous sessions that have not been tested by price.
-Extends these levels forward as "Magnets" until price touches them.
-Touch-Delete Logic: Once price interacts with a magnet, the line is automatically removed to keep the chart clean.
3] Institutional Dashboard:
- A "Flight Deck" table in the top-right corner provides real-time metrics:
-Context: Are we inside, above, or below the previous value zone?
-Auction State: Is the current market balanced or imbalanced?
-IB Status: Initial Balance (first 60 mins) breakout/breakdown status.
-Fuel Gauge: Measures current range vs. ADR (Average Daily Range) to gauge exhaustion.
-Volume Flow: Detects high-aggression volume relative to the average.
How to Use:
Trend Following: Look for price breaking out of the (Static Lines) , Pullback rejection, Rejection from the lines.
Reversion: Use the lower lines for bulls reversal and Upper lines for bears reversal ( Kind of reversal candle formation )
Risk Management: Use the ADR Fuel Gauge to avoid buying extended markets (>100% ADR).
Disclaimer: This tool is only for educational and analytical purposes only. Not any recommendation.
Fair Value Gaps (FVG)This indicator automatically detects Fair Value Gaps (FVGs) using the classic 3-candle structure (ICT-style).
It is designed for traders who want clean charts and relevant FVGs only, without the usual clutter from past sessions or tiny, meaningless gaps.
Key Features
• Bullish & Bearish FVG detection
Identifies imbalances where price fails to trade efficiently between candles.
• Automatic FVG removal when filled
As soon as price trades back into the gap, the box is deleted in real time – no more outdated zones on the chart.
• Only shows FVGs from the current session
At the start of each new session, all previous FVGs are cleared.
Perfect for intraday traders who only care about today’s liquidity map.
• Flexible minimum gap size filter
Avoid noise by filtering FVGs using one of three modes:
Ticks (based on market tick size)
Percent (relative to current price)
Points (absolute price distance)
• Right-extension option
Keep gaps extended forward in time or limit them to the candles that created them.
Why This Indicator?
Many FVG indicators overwhelm the chart with zones from previous days or tiny imbalances that don’t matter.
This version keeps things clean, meaningful, and real-time accurate, ideal for day traders who rely on market structure and liquidity.
Smart Money Concepts [Riz]Smart Money Concepts is a comprehensive technical analysis tool for identifying institutional trading patterns and market structure. This indicator combines Smart Money Concepts (SMC), ICT methodology, and Wyckoff principles into one professional tool.
✨ KEY FEATURES
📊 VOLUMETRIC ORDER BLOCKS
• Visual representation of supply/demand zones with volume distribution
• Horizontal volume bars showing buy/sell composition inside each Order Block
• Automatic mitigation tracking
• Breaker Block detection (invalidated OBs acting as reversal zones)
• Strength rating system: ★ Weak, ★★ Medium, ★★★ Strong
• ATR-based size filtering to show only significant zones
📈 MARKET STRUCTURE DETECTION
• Break of Structure (BOS) and Change of Character (CHoCH) identification
• Higher Highs (HH), Higher Lows (HL), Lower Highs (LH), Lower Lows (LL) labels
• Internal structure pivots (iH/iL) for intraday analysis
• Auto-adjusting swing length based on timeframe
• Configurable confirmation methods (Close vs Wick-based)
💎 FAIR VALUE GAPS (FVG)
• Automatic detection of bullish and bearish imbalances
• Configurable mitigation percentage (default 50%)
• Visual tracking until gaps are filled
• Separate color schemes for clarity
💧 LIQUIDITY ANALYSIS
• Buy Side Liquidity (BSL) identification at swing highs
• Sell Side Liquidity (SSL) identification at swing lows
• Automatic sweep detection with visual confirmation
• Real-time alerts when liquidity is taken
⚖️ PREMIUM & DISCOUNT ZONES
• Dynamic range calculation based on configurable lookback period
• Equilibrium (EQ) level identification
• Previous Day High (PDH) and Previous Day Low (PDL) levels
• Helps identify favorable entry zones
📊 REAL-TIME DASHBOARD
• Live statistics on all detected patterns
• Active Order Blocks and FVGs count
• BOS/CHoCH occurrence tracking
• Liquidity sweep counters
• Recent market activity indicators
• Current trend bias display
• Fully customizable position and size
⚙️ CUSTOMIZATION OPTIONS
All aspects are fully customizable:
• Swing Length (1-50 bars) with auto-adjust for timeframe
• Max Active Order Blocks (10-100)
• Volume bar position (Left/Right) with mirror option
• Volume bar width percentage (10-50%)
• ATR size filter for Order Blocks
• Strength rating method (Touches/Age/Distance/Volume/Combined)
• All colors and transparency levels
• Dashboard position (9 locations available)
• Comprehensive alert system for all events
🎓 HOW IT WORKS
ORDER BLOCKS: Identified at the last candle before a Break of Structure. These represent institutional supply and demand zones. Volume is estimated based on candle characteristics and displayed as horizontal bars.
MARKET STRUCTURE: Tracks pivot highs and lows to determine if price is making Higher Highs/Higher Lows (bullish structure) or Lower Highs/Lower Lows (bearish structure). BOS indicates trend continuation, while CHoCH signals potential trend reversal.
LIQUIDITY: Swing highs represent Buy Side Liquidity where short positions have their stop losses. Swing lows represent Sell Side Liquidity where long positions have stop losses. The indicator tracks when these levels are "swept" by price.
FAIR VALUE GAPS: Three-candle patterns where the current candle's range doesn't overlap with the candle two bars ago, creating price imbalances that often get filled later.
📚 BEST PRACTICES
• Use on all timeframes - Auto-adjust feature optimizes settings automatically
• Look for confluence - Best setups occur when multiple concepts align (e.g., Order Block + liquidity sweep + discount zone)
• Consider risk/reward - Use Premium/Discount zones to identify favorable entry areas
• Respect market context - Order Blocks in the direction of overall trend tend to be more reliable
• Volume matters - Higher volume percentages in the expected direction may indicate stronger zones
⚠️ IMPORTANT NOTES
EDUCATIONAL TOOL: This indicator is designed for analysis and education, not as trading signals or investment advice.
VOLUME ESTIMATION: Buy/sell volume distribution is estimated based on candle characteristics since true buy/sell volume data is not available in Pine Script.
NO GUARANTEES: Past performance is not indicative of future results. All trading involves substantial risk.
RISK MANAGEMENT: Always use proper risk management and seek additional confirmation before making trading decisions.
OBJECT LIMITS: On very fast timeframes (1m, 5m) in highly volatile markets, the indicator may approach Pine Script's 500-object limit. Reduce max OBs/FVGs in settings if needed.
🔧 TECHNICAL SPECIFICATIONS
• Pine Script Version: v6
• Indicator Type: Overlay (displays on price chart)
• Maximum Objects: Optimized to stay within Pine Script limits
• Performance: Efficient rendering with configurable history management
• Updates: Real-time on every bar close
📖 METHODOLOGY
This indicator combines concepts from:
• Inner Circle Trader (ICT) methodology
• Smart Money Concepts (SMC) framework
• Wyckoff market analysis principles
• Order flow and volume spread analysis
⚖️ DISCLAIMER
This indicator is for educational and informational purposes only. It is not financial advice. Trading financial instruments carries substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. Always conduct your own research and consult with a licensed financial advisor before making any investment decisions. The author assumes no responsibility for any losses incurred from using this indicator.
Stock Fundamentals (Zeiierman)█ Overview
Stock Fundamentals (Zeiierman) is designed for investors who want a clear, visual, and efficient way to understand a company’s overall fundamental profile directly on the chart. Instead of digging through dozens of ratios or scanning multiple websites, the tool combines fundamental data, price behavior, and analyst expectations into a single intuitive visual system that can be understood at a glance.
A multi-axis “fundamental spider chart” presents the company across six core dimensions: value, quality, financial health, future prospects, dividend strength, performance, and volatility behavior. Each axis represents a structural aspect of company quality, allowing you to see strengths, weaknesses, and imbalances in one immediate view.
Alongside the spider chart, a compact PE and Return panel shows where current valuation and analyst expectations sit within their historical ranges, giving context for whether the stock is cheap, expensive, stretched, or positioned for growth.
The goal is simple: make fundamental analysis accessible, fast, and insightful for every investor, from beginner to advanced. Stock Fundamentals (Zeiierman) transforms dense data into a structured visual profile suited for stocks on the daily timeframe, allowing you to interpret company quality as easily as you read price action.
Important: This script is designed for STOCK symbols on the DAILY timeframe. On anything else, it will show an explicit warning instead of a spider chart.
⚪ Why This One Is Unique
Most fundamental overlays rely on static ratios or simple tables, but this script takes a far more comprehensive approach. It builds a multi-dimensional scoring system across Value, Health, Future, Dividend, Performance, and Volatility, then maps these dimensions into a geometric spider chart with clearly labeled axes so you can interpret company quality visually rather than through scattered numbers.
An Overall Score from 0 to 10 is computed by aggregating these dimensions and is displayed using a smooth gradient from your selected color palette. Performance scoring is based on yearly return statistics such as returns, volatility, Sharpe ratio, max drawdown, and alpha versus a benchmark, giving the score a foundation in real multi-year behavior rather than short-term noise.
Dividend quality is evaluated through yield, growth, payout behavior, free-cash-flow coverage, leverage, and the company’s EPS trend, creating a deeper view of dividend strength than raw yield alone. Future expectations are incorporated through a forward-looking model that compares projected earnings and revenue paths to the current price using a nonlinear scoring method.
A dedicated PE Sentiment and Return Estimate panel places the stock’s PE, current price, and analyst targets along a graded strip, helping you see valuation and expected upside or downside in a meaningful context.
█ Main Features
⚪ 1. Company Overview Score
Stock Fundamentals (Zeiierman) evaluates a company across six core dimensions: Value, Health, Future, Dividend, Performance, and Volatility. Each dimension is scored individually and combined into a single Overall Score (0–10) displayed beside the spider chart. The score cell uses a smooth gradient to reflect weak-to-strong company quality at a glance.
⚪ 2. Fundamental spider chart Visualization
The individual scores are mapped into a six-axis polygon, known as the fundamental spider chart. Each arm of the spider chart represents one of the core dimensions:
Dividend – quality, growth, coverage, and stability
Performance – multi-year risk-adjusted returns
Volatility – long-term price stability
Value – earnings yield, ROIC, and valuation appeal
Health – solvency, balance-sheet strength, and overall safety
Future – forward growth potential relative to current price
The axes extend from weak at the center to strong at the outer boundary, creating a color-filled shape that makes strengths, weaknesses, and imbalances instantly visible. The spider chart and the overall score work together to provide a fast, intuitive snapshot of company fundamentals.
⚪ 3. PE Sentiment Bar
A horizontal PE Sentiment bar shows where the company’s current P/E sits within its historical low-to-high range. The bar is color-graded to indicate whether the valuation leans cheap or expensive, with a marker precisely showing today’s position.
⚪ 4. Return Estimate Bar
The Return Estimate bar compares the current price against analyst expectations:
lowest target
highest target
average target
current price marker
A percentage estimate displays potential upside or downside to the average target. The bar is visually graded using the same palette for fast interpretation.
█ How to Use
⚪ Quick Stock Screening
Investors can rapidly assess company quality before deep research, saving significant time.
⚪ Comparing Opportunities
Easily compare two or more companies using their overall scores and key sentiment visuals.
⚪ Portfolio Reassessment
Use the Stock Fundamentals to monitor existing holdings and identify potential risks or strong performers.
⚪ Sentiment-Based Entries
Combine PE Sentiment and Return Estimate data to evaluate whether a stock is currently undervalued or overextended.
█ How It Works
⚪ Fundamental Dimensions and Scoring
Stock Fundamentals (Zeiierman) evaluates a company across six primary dimensions: Value, Health, Future, Dividend, Performance, and Volatility. Each dimension is assessed through its underlying behaviors rather than a single ratio, producing a more balanced and realistic view of company strength.
Value reflects how attractive the company is relative to its earnings power and capital efficiency.
Health measures balance-sheet strength, operational resilience, and the company’s ability to withstand financial stress.
Future estimates the growth potential implied by projected business expansion versus current pricing.
Dividend evaluates reliability, sustainability, and the stability of historical payouts.
Performance summarizes long-term return quality and risk-adjusted behavior.
Volatility indicates the consistency of price behavior, highlighting stability versus choppiness.
Each category is converted into a normalized score and combined into an overall weighted score (0–10), providing a fast yet reliable snapshot of company quality.
⚪ Value Engine
The Value dimension reflects both the company’s earnings attractiveness and how effectively it uses capital. Instead of relying on a single valuation ratio, the engine blends multiple valuation signals with an estimate of capital efficiency, producing a stable value intensity score. This approach rewards companies that combine strong earnings power with efficient capital use, while preventing extreme outliers from dominating.
⚪ Health Engine
The Health dimension evaluates how structurally sound the business is. It draws from indicators that capture financial resilience, balance-sheet strength, stability, and operational robustness. For financial institutions or bank-like profiles, the system shifts toward metrics that emphasize asset efficiency and solvency buffers. The result is a single robustness score that adapts to the company’s business model.
⚪ Performance Engine
Performance is based on long-term behavior rather than short-term swings. The system evaluates multi-year return characteristics, consistency, risk-adjusted efficiency, and resilience during adverse market periods. Each of these behaviors is transformed into a smooth score, then combined into a single Performance dimension that reflects “quality of returns,” not just raw gains.
⚪ Dividend Engine
The Dividend dimension assesses both reward and reliability. It considers payout behavior over several years, historical stability, growth tendencies, coverage strength, and overall sustainability. It also evaluates whether the company’s financial structure supports long-term dividends rather than simply rewarding high yield. All of these factors combine into a dividend score that balances attractiveness with durability.
⚪ Future Growth Engine
The Future dimension estimates how well the company’s projected business expansion aligns with current price levels. It builds a simplified projection of growth potential and assesses whether that trajectory reasonably supports the stock’s valuation. The closer the company appears to “growing into” its price, the higher the future score. This dimension effectively acts as a growth runway estimator.
⚪ Volatility Node
The Volatility dimension reflects how stable or turbulent the stock has been over a broad timeframe. Its purpose is descriptive rather than judgmental: a high volatility score indicates choppy behavior, while a lower score suggests consistency. Although this measurement is displayed as part of the spider chart, it is intentionally excluded from the Overall Score to avoid penalizing growth-oriented or cyclical companies unfairly.
⚪ PE Sentiment
The company’s current P/E ratio is placed within its historical low-to-high range. The panel uses a smooth gradient from “cheap” to “expensive,” with a clear marker showing exactly where today’s valuation sits relative to past conditions.
⚪ Return Estimate
Analyst expectations are displayed on a similar range-based strip. Markers show the lowest, highest, and average analyst targets, alongside a marker for the current price. A projected percentage return is calculated relative to consensus expectations, offering a simple visual cue for whether analysts see meaningful upside or downside.
-----------------
Disclaimer
The content provided in my scripts, indicators, ideas, algorithms, and systems is for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instruments. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
كلاستر
Detailed Description – Fibonacci Cluster Zones + OB + FVG (AR34)
This script is an advanced multi-layer confluence system developed under the AR34 Trading Framework, designed to identify high-accuracy reversal zones, liquidity imbalances, institutional footprints, and trend direction using a unified analytic engine.
It combines Fibonacci mathematics, Smart Money Concepts, market structure, and smart trend signals to produce precise, reliable trading zones.
⸻
🔶 1 — Fibonacci Retracement Zones + Custom Smart Levels
The script calculates the highest and lowest prices over a selected lookback period to generate key Fibonacci retracement levels:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
You can also add up to three custom Fibonacci levels (0.66, 0.707, 0.88 or any value you want).
✔ Each level is drawn as a horizontal line
✔ Optional label display for every level
✔ Color and activation fully customizable
These levels help identify pullback zones and potential turning points.
⸻
🔶 2 — True Fibonacci Cluster Detection
The script automatically identifies Cluster Zones, which occur when:
1. A Fibonacci level
2. An Order Block
3. A Fair Value Gap
all overlap in the same price range.
When all three conditions align, the script prints a CLUSTER marker in yellow.
These zones represent:
• High-probability reversal areas
• Strong institutional footprints
• Highly reactive price levels
⸻
🔶 3 — Automatic Order Block (OB) Detection
The indicator detects Order Blocks based on structural candle behavior:
• Bearish candle → followed by bullish
• Price interacts with a Fibonacci level
• Area aligns with institutional order flow
When detected, the OB is marked for easy visualization.
⸻
🔶 4 — Fair Value Gap (FVG) Mapping
The script scans for liquidity imbalances using the classic FVG logic:
• low > high
When an FVG exists, it draws a green liquidity box.
This highlights:
• Gaps left by institutional moves
• High-value return zones
• Efficient price retracement levels
⸻
🔶 5 — Fibonacci Extension Projections
The script calculates extension targets using:
• 1.272
• 1.618
• 2.000
These are drawn as dashed teal lines and help forecast:
• Breakout continuation targets
• Wave extension objectives
• Take-profit areas
⸻
🔶 6 — Smart Trend Signal (EMA-200 Engine)
Trend direction is determined using the EMA 200:
• Price above EMA → uptrend
• Price below EMA → downtrend
A green or red signal icon appears only when the trend flips, reducing noise and improving clarity.
This helps detect:
• Trend shifts early
• Cleaner entries and exits
• Trend-based filtering
⸻
🔶 7 — Four-EMA Multi-Trend System
The indicator includes optional visualization of four moving averages:
• EMA 20 → Short-term
• EMA 50 → Medium-term
• EMA 100 → Long-term
• EMA 200 → Major trend
All are fully customizable (length + color + visibility).
⸻
🔶 8 — Dynamic Negative Fibonacci Levels (Green Only)
When enabled, the script calculates deep retracement zones using:
• –0.23
• –0.75
• –1.20
These negative Fibonacci levels are drawn in green and help identify:
• Deep liquidity capture points
• Hidden structural supports
• Potential reversal bottoms
⸻
🔶 9 — Complete User Control
Users maintain full control over:
✔ Enabling/disabling OB detection
✔ Enabling/disabling FVG detection
✔ Activating custom Fibonacci levels
✔ Showing or hiding labels
✔ Selecting timeframe for Fib calculations
✔ Adjusting moving average parameters
✔ Activating dynamic Fibonacci
The script is designed to be flexible, scalable, and suitable for any trading style.
⸻
🎯 Summary
This indicator is a powerful all-in-one analytical system that merges:
✔ Fibonacci Mathematics
✔ Smart Money Concepts (OB + FVG)
✔ Trend-based filtering
✔ Institutional cluster detection
✔ Dynamic extensions + retracements
✔ Multi-EMA trend mapping
شرح السكربت بالتفصيل – Fibonacci Cluster Zones + OB + FVG (AR34)
هذا السكربت هو نظام تحليل احترافي متكامل من تطوير AR34 Framework يجمع بين أقوى أدوات التداول الحديثة في مؤشر واحد، ويهدف إلى كشف مناطق الانعكاس القوية، والتجميع الذكي، والاتجاه العام، باستخدام مزيج علمي من فيبوناتشي + السيولة + الاتجاه.
يعمل هذا المؤشر بأسلوب Confluence Trading بحيث يدمج عدة مدارس مختلفة في طبقة واحدة لتحديد مناطق الانعكاس والارتداد والاختراق بدقة عالية.
⸻
🔶 1 — مناطق فيبوناتشي (Retracement) + الكلاستر الذكي
يقوم المؤشر بحساب أعلى وأدنى سعر خلال عدد محدد من الشموع (Retracement Length) ثم يرسم مستويات فيبوناتشي الكلاسيكية:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
مع إمكانية إضافة 3 مستويات خاصة من اختيارك (0.66 – 0.707 – 0.88 وغيرها).
✔️ كل مستوى يتم رسمه بخط مستقل
✔️ يظهر بجانبه رقم المستوى إذا تم تفعيل خيار Show Fib Labels
✔️ يمكن تغيير لونه، قيمته، وتفعيله حسب رغبتك
⸻
🔶 2 — كاشف الكلاستر الحقيقي (Cluster Detection)
الكلاستر يُعتبر أقوى مناطق الارتداد في التحليل الفني.
السكربت يحدد الكلاستر عندما تتداخل 3 عناصر مع مستوى فيبوناتشي:
1. مستوى فيبوناتشي مهم
2. Order Block
3. Fair Value Gap
إذا اجتمعت الثلاثة في نفس المنطقة، يتم رسمها باللون الأصفر وتظهر كلمة CLUSTER.
هذا يعطيك:
• أقوى منطقة انعكاس
• أعلى دقة في تحديد نقاط الدخول
• مناطق ذات سيولة مرتفعة
⸻
🔶 3 — دمج Order Blocks تلقائياً
يكتشف المؤشر الـ OB الحقيقي باستخدام شروط حركة الشموع:
• bearish candle → bullish candle
• السعر لمس مستوى فيبوناتشي
• منطقة محتملة لتجميع المؤسسات
إذا تحققت الشروط يظهر OB باللون الأحمر.
⸻
🔶 4 — دمج Fair Value Gaps (FVG)
يكتشف الفجوات السعرية بين الشمعتين الأولى والثالثة:
• low > high
ويقوم برسم بوكس أخضر حول الفجوة (FVG Zone).
يساعدك على معرفة:
• مناطق اختلال السيولة
• أهداف السعر القادمة
• مناطق “العودة” المحتملة
⸻
🔶 5 — امتدادات فيبوناتشي (Fibonacci Extensions)
يقوم بحساب الامتدادات من مستويات:
• 1.272
• 1.618
• 2.0
ويظهرها بخطوط متقطعة (Teal Color).
هذه المستويات مهمة لتوقع:
• أهداف اختراق
• مناطق TP
• امتداد موجات السعر
⸻
🔶 6 — إشارة الاتجاه الذكية (Smart Trend Engine – EMA200)
يعتمد على EMA 200 لتحديد الاتجاه العام:
• إذا السعر فوق EMA200 → اتجاه صاعد
• إذا السعر تحت EMA200 → اتجاه هابط
ويظهر المؤشر:
🟢 سهم أخضر عند تحول الاتجاه لصعود
🔴 سهم أحمر عند تحول الاتجاه لهبوط
ميزة التحول فقط عند تغيير الاتجاه (No Noise).
⸻
🔶 7 — أربع موفنقات احترافية (EMA 20 – 50 – 100 – 200)
المؤشر يعرض الموفنقات الأربعة الأساسية:
• EMA 20 → اتجاه قصير
• EMA 50 → متوسط
• EMA 100 → طويل
• EMA 200 → الاتجاه الرئيسي
مع إمكانية:
• تغيير اللون
• تغيير الطول
• إخفائها وإظهارها
⸻
🔶 8 — فيبوناتشي الديناميكي (Dynamic Green Fib)
ميزة قوية جداً تظهر فقط عند تفعيلها.
تحسب أعلى وأدنى سعر في Lookback Period ثم ترسم مستويات سلبية:
• –0.23
• –0.75
• –1.20
هذه المستويات تظهر كخطوط خضراء تحت السعر وتستخدم لـ:
• تحديد مناطق الانعكاس المخفية
• رصد الدعم الديناميكي
• اكتشاف القيعان المحتملة
⸻
🔶 9 — المرونة الكاملة للمستخدم
المؤشر يسمح لك التحكم بكل شيء:
✔️ تفعيل/إلغاء الـ OB
✔️ تفعيل/إلغاء الـ FVG
✔️ تفعيل/إلغاء مستويات فيبوناتشي
✔️ إضافة مستويات مخصصة
✔️ اختيار الفريم المستخدم
✔️ تغيير الألوان
✔️ التحكم في الاتجاه والموفنقات
⸻
🎯 الخلاصة
هذا السكربت يعمل كنظام تحليلي متكامل يجمع:
✔️ فيبوناتشي
✔️ السيولة المؤسسية (OB + FVG)
✔️ الاتجاه الذكي
✔️ الكلاستر الاحترافي
✔️ الموفنقات
✔️ فيبوناتشي الديناميكي
Fibonacci Cluster Zones + OB + FVG (AR34)Detailed Description – Fibonacci Cluster Zones + OB + FVG (AR34)
This script is an advanced multi-layer confluence system developed under the AR34 Trading Framework, designed to identify high-accuracy reversal zones, liquidity imbalances, institutional footprints, and trend direction using a unified analytic engine.
It combines Fibonacci mathematics, Smart Money Concepts, market structure, and smart trend signals to produce precise, reliable trading zones.
⸻
🔶 1 — Fibonacci Retracement Zones + Custom Smart Levels
The script calculates the highest and lowest prices over a selected lookback period to generate key Fibonacci retracement levels:
• 0.236
• 0.382
• 0.500
• 0.618
• 0.786
• 1.000
You can also add up to three custom Fibonacci levels (0.66, 0.707, 0.88 or any value you want).
✔ Each level is drawn as a horizontal line
✔ Optional label display for every level
✔ Color and activation fully customizable
These levels help identify pullback zones and potential turning points.
⸻
🔶 2 — True Fibonacci Cluster Detection
The script automatically identifies Cluster Zones, which occur when:
1. A Fibonacci level
2. An Order Block
3. A Fair Value Gap
all overlap in the same price range.
When all three conditions align, the script prints a CLUSTER marker in yellow.
These zones represent:
• High-probability reversal areas
• Strong institutional footprints
• Highly reactive price levels
⸻
🔶 3 — Automatic Order Block (OB) Detection
The indicator detects Order Blocks based on structural candle behavior:
• Bearish candle → followed by bullish
• Price interacts with a Fibonacci level
• Area aligns with institutional order flow
When detected, the OB is marked for easy visualization.
⸻
🔶 4 — Fair Value Gap (FVG) Mapping
The script scans for liquidity imbalances using the classic FVG logic:
• low > high
When an FVG exists, it draws a green liquidity box.
This highlights:
• Gaps left by institutional moves
• High-value return zones
• Efficient price retracement levels
⸻
🔶 5 — Fibonacci Extension Projections
The script calculates extension targets using:
• 1.272
• 1.618
• 2.000
These are drawn as dashed teal lines and help forecast:
• Breakout continuation targets
• Wave extension objectives
• Take-profit areas
⸻
🔶 6 — Smart Trend Signal (EMA-200 Engine)
Trend direction is determined using the EMA 200:
• Price above EMA → uptrend
• Price below EMA → downtrend
A green or red signal icon appears only when the trend flips, reducing noise and improving clarity.
This helps detect:
• Trend shifts early
• Cleaner entries and exits
• Trend-based filtering
⸻
🔶 7 — Four-EMA Multi-Trend System
The indicator includes optional visualization of four moving averages:
• EMA 20 → Short-term
• EMA 50 → Medium-term
• EMA 100 → Long-term
• EMA 200 → Major trend
All are fully customizable (length + color + visibility).
⸻
🔶 8 — Dynamic Negative Fibonacci Levels (Green Only)
When enabled, the script calculates deep retracement zones using:
• –0.23
• –0.75
• –1.20
These negative Fibonacci levels are drawn in green and help identify:
• Deep liquidity capture points
• Hidden structural supports
• Potential reversal bottoms
⸻
🔶 9 — Complete User Control
Users maintain full control over:
✔ Enabling/disabling OB detection
✔ Enabling/disabling FVG detection
✔ Activating custom Fibonacci levels
✔ Showing or hiding labels
✔ Selecting timeframe for Fib calculations
✔ Adjusting moving average parameters
✔ Activating dynamic Fibonacci
The script is designed to be flexible, scalable, and suitable for any trading style.
⸻
🎯 Summary
This indicator is a powerful all-in-one analytical system that merges:
✔ Fibonacci Mathematics
✔ Smart Money Concepts (OB + FVG)
✔ Trend-based filtering
✔ Institutional cluster detection
✔ Dynamic extensions + retracements
✔ Multi-EMA trend mapping
It is ideal for:
• Professional traders
• SMC / ICT analysts
• Day traders and swing traders
• Anyone using confluence-based strategies
The script provides high-precision reversal zones, trend confirmation, and institutional liquidity mapping — all within a clean and smart visual layout.
Volume Pressure and PercentVPP Volume Pressure and Percentage Indicator with a Volume Trendline that indicates which side is driving the flow.
Features:
1. Buy/Sell Pressure Bars (Core Volume Split)
The indicator separates each candle’s volume into buy volume (green) above the zero line and sell volume (red) below it. This gives you a real-time visualization of which side is more aggressive within the current bar. Instead of waiting for prices to move or candles to close, you can instantly see whether buyers or sellers are stepping in.
2. Dynamic Total Volume (Invisible Histogram + Status Line Color)
The total volume of each bar is tracked behind the scenes and displayed in the pinned status line using a dynamic color—green when buyers dominate, red when sellers dominate. The histogram for total volume is invisible to keep the chart clean, but the total volume figure stays visible and changes color based on who is in control. This gives you instant confirmation of whether institutional-sized volume supports the direction shown by the buy/sell pressure, which is especially valuable when evaluating the risk or conviction behind a potential entry.
3. Percentage Mode (% of Bar Volume)
When toggled on, the indicator converts each bar into percent buy vs percent sell, normalizing all flow to a 0–100% scale. This mode is incredibly useful when comparing pressure across different times of day, gaps, or varying volume conditions—such as early morning spikes versus lunchtime chop. By removing absolute volume from the equation, you gain a clean look at the actual imbalance between buyers and sellers.
4. 70% Pressure Band (Imbalance Threshold Zone)
In percentage mode, the indicator displays a subtle 70% band (a light gray zone) above and below the zero line, showing where buy or sell pressure reaches extreme dominance (≥70%). When a bar’s buy or sell percentage enters this zone, it highlights moments of exhaustion, acceleration, or potential reversal. The band acts like a real-time overbought/oversold gauge specifically for volume imbalance, not price.
5. Trend Line (Net Pressure Trend / Reversal Detector)
The trend line smooths out the net volume pressure (buy volume minus sell volume or its percentage equivalent) and shows the overall direction of order flow. When the line slopes upward, buyers are gaining control; when it slopes downward, sellers are taking over. This trend line acts as a real-time momentum indicator based directly on flow rather than price. Because it reacts quickly to intrabar shifts in buy/sell pressure, it often turns before price does—giving you a measurable timing edge.
6. Auto-Selecting Trend Source (Volume Net, Percent Net, or CVD)
The indicator lets you choose how the trend line is calculated: Volume Net (buy minus sell volume), Percent Net (normalized imbalance), or CVD (Cumulative Volume Delta) for long-term flow bias. The default “Auto” mode automatically switches between Volume Net and Percent Net depending on which view you’re using. This flexibility allows the trend line to remain meaningful whether you’re analyzing raw volume or normalized percentage data.
7. Pinned (Status Line) Totals in K/M/B Format
Regardless of whether you’re in volume or percentage mode, the indicator always displays Total Volume, Buy Volume, and Sell Volume in the status line using abbreviated K, M, B formatting. These values update in real time and are color-coded: green for bullish dominance, red for bearish. This gives you a concise snapshot of order flow strength on every bar.
---------------------
How To Use:
Support Level Zones
• Watch for Buy bars increasing + Trend line flipping up right at or slightly below support.
• This often signals absorption — market makers filling large buy orders before reversal.
• Confirmation: Price reclaims VWAP ... enter calls / longs.
Resistance Level Zones
• Watch for Sell bars increasing + Trend line flattening/turning down near resistance.
• This signals distribution or stop runs.
• Confirmation: Price rejects VWAP ... enter puts / shorts.
Breakout Traps
• Sometimes you’ll see price break a level, but the flow doesn’t confirm (buy volume doesn’t expand).
• That’s a false breakout — fade it with options opposite the move.
Pressure Pivots - MPIPressure Pivots - MPI
A multi-factor reversal detection system built on a proprietary Market Pressure Index (MPI) that combines institutional order flow analysis, liquidity dynamics, and momentum exhaustion to identify high-probability pivot points with automated win rate validation.
What This System Does
This indicator solves the core challenge of reversal trading: distinguishing genuine exhaustion pivots from temporary retracements. It combines six independent detection mechanisms—divergence, liquidity sweeps, order flow imbalance, wick rejection, volume surges, and velocity exhaustion—weighted by reliability and unified through a custom pressure oscillator.
Three-Layer Architecture:
Layer 1 - Market Pressure Index (MPI): Proprietary volume-weighted pressure oscillator that measures buying vs. selling pressure using proportional intrabar allocation and dual-timeframe normalization (-1.0 to +1.0 range).
Layer 2 - Weighted Confluence Engine: Six detection factors scored hierarchically (divergence: 3.0 pts, liquidity: 2.5 pts, order flow: 2.0 pts, velocity: 1.5 pts, wick: 1.5 pts, volume: 1.0 pt). Premium signals (DIV/LIQ/OF) require 6.0+ score, standard signals (STD) require 4.0+ score.
Layer 3 - Automated Win Rate Validation: Every signal tracked forward and validated against actual pivot formation within 10-bar window. Real-time performance statistics displayed by signal type and direction.
The Market Pressure Index - Original Calculation
What MPI Measures: The balance of aggressive buying vs. aggressive selling within each bar, smoothed and normalized to create a continuous oscillator.
Calculation Methodology:
Step 1: Intrabar Pressure Decomposition
Buy Pressure = Volume × (Close - Low) / (High - Low)
Sell Pressure = Volume × (High - Close) / (High - Low)
Net Pressure = Buy Pressure - Sell Pressure
Step 2: Exponential Smoothing
Smooth Pressure = EMA(Net Pressure, 14)
Step 3: Normalization
Avg Absolute Pressure = SMA(|Net Pressure|, 28)
MPI Raw = Smooth Pressure / Avg Absolute Pressure
Step 4: Sensitivity Amplification
MPI = clamp(MPI Raw × 1.5, -1.0, +1.0)
Why This Is Different:
• vs. RSI: RSI measures price momentum without volume context. MPI integrates volume magnitude and distribution within each bar.
• vs. OBV: OBV uses binary classification (up bar = buy volume). MPI uses proportional allocation based on close position within range.
• vs. Money Flow Index: MFI uses typical price × volume. MPI uses intrabar positioning, revealing pressure balance regardless of bar-to-bar movement.
• vs. VWAP: VWAP shows average price. MPI shows directional pressure balance (who controls the bar).
MPI Interpretation:
• +0.7 to +1.0: Extreme buying pressure (strong uptrends, potential exhaustion)
• +0.3 to +0.7: Moderate buying pressure (healthy uptrends)
• -0.3 to +0.3: Neutral/balanced (ranging, consolidation)
• -0.7 to -0.3: Moderate selling pressure (healthy downtrends)
• -1.0 to -0.7: Extreme selling pressure (strong downtrends, potential exhaustion)
Critical Insight: MPI at extremes indicates pressure exhaustion risk , not automatic reversal. Reversals occur when extreme MPI coincides with confluence factors.
Six Confluence Factors - Detection Arsenal
1. Divergence Detection (Weight: 3.0 - Highest Priority)
Detects: Price making higher highs while MPI makes lower highs (bearish), or price making lower lows while MPI makes higher lows (bullish).
Why It Matters: Reveals weakening pressure behind price moves. Declining participation signals potential reversal.
Signal Type: Premium (DIV) - Historically highest win rates.
2. Liquidity Sweep Detection (Weight: 2.5)
Detects: Price penetrates recent swing high/low (triggering stops), then immediately reverses and closes back inside range.
Calculation: High breaks swing high by <0.3× ATR but closes below it (bearish), or low breaks swing low by <0.3× ATR but closes above it (bullish).
Why It Matters: Stop hunts mark institutional accumulation/distribution zones. Often pinpoints exact pivot points.
Signal Type: Premium (LIQ) - Extremely reliable with volume confirmation.
3. Order Flow Imbalance (Weight: 2.0)
Detects: Aggressive directional ordering where price consistently closes in upper/lower third of bars with elevated volume.
Calculation:
Close Position = (Close - Low) / (High - Low)
Aggressive Buy = Volume when Close Position > 0.65
Aggressive Sell = Volume when Close Position < 0.35
Imbalance = EMA(Aggressive Buy, 5) - EMA(Aggressive Sell, 5)
Strong Flow = |Imbalance| > 1.5 × Average
Why It Matters: Reveals institutional accumulation/distribution footprints before directional moves.
Signal Type: Premium (OF)
4. Wick Rejection Patterns (Weight: 1.5)
Detects: Pin bars, hammers, shooting stars where wick exceeds 60% of total bar range.
Why It Matters: Large wicks demonstrate failed attempts to push price, indicating strong opposition.
5. Volume Spike Detection (Weight: 1.0)
Detects: Volume exceeding 2× the 20-bar average.
Why It Matters: Confirms institutional participation vs. retail noise. Most effective when combined with wick rejection or liquidity sweeps.
6. Velocity Exhaustion (Weight: 1.5)
Detects: Parabolic moves (velocity >2.0× ATR over 3 bars) showing deceleration while MPI at extremes.
Calculation:
Velocity = Change(Close, 3) / ATR(14)
Exhaustion = |Velocity| > 2.0 AND MPI > |0.5| AND Velocity Slowing
Why It Matters: Extended moves are unsustainable. Momentum deceleration from extremes precedes reversals.
Signal Classification & Scoring
Weighted Confluence Scoring:
Each factor contributes points when present. Signals fire when total score exceeds thresholds:
Bearish Example:
+ At recent high (1.0)
+ Bearish divergence (3.0)
+ Wick rejection (1.5)
+ Volume spike (1.0)
+ Velocity slowing (1.5)
= 8.0 total score → BEARISH DIV SIGNAL
Bullish Example:
+ At recent low (1.0)
+ Liquidity sweep (2.5)
+ Strong buy flow (2.0)
+ Wick rejection (1.5)
= 7.0 total score → BULLISH LIQ SIGNAL
Dual Threshold System:
• Premium Signals (DIV/LIQ/OF): Require 6.0+ points. Must include divergence, liquidity sweep, or order flow. Higher win rates.
• Standard Signals (STD): Require 4.0+ points. No premium factors. More frequent, moderate win rates.
Visual Signal Color-Coding:
• Purple Triangle: DIV (Divergence signal)
• Orange Triangle: LIQ (Liquidity sweep signal)
• Aqua Triangle: OF (Order flow signal)
• Red/Green Triangle: STD (Standard signal)
• Yellow Diamond: Warning (setup forming, not confirmed)
Warning System - Early Alerts
Yellow diamond warnings fire when 2+ factors present but full confluence not met:
• At recent 10-bar high/low
• Wick rejection present
• Volume spike present
• MPI extreme or accelerating/decelerating
Critical: Warnings are NOT trade signals. They indicate potential setups forming. Wait for colored triangle confirmation.
Win Rate Validation - Transparent Performance Tracking
How It Works:
Signal Storage: Every signal recorded (bar index, price, type, direction)
Pivot Confirmation: System monitors next 10 bars for confirmed pivot formation at signal price (±2%)
Validation: If pivot forms within window → Win. If not → Loss.
Statistics: Win Rate = Validated Signals / Total Mature Signals × 100
Dashboard Displays:
• Overall win rate with visual bar
• Bearish signal win rate
• Bullish signal win rate
• Win rate by signal type (DIV/LIQ/OF/STD)
• Wins/Total for each category
Why This Matters:
After 30-50 signals, you'll know exactly which patterns work on your instrument:
Example Performance Analysis:
Overall: 58% (35/60)
Bearish: 52% | Bullish: 65%
DIV: 72% | LIQ: 68% | OF: 50% | STD: 38%
Insight: Focus on bullish DIV/LIQ signals (72%/68% win rate), avoid STD signals (38%), investigate bearish underperformance.
This transforms the indicator from signal generator to learning system.
Dynamic Microstructure Visualization
Fibonacci Retracement Levels
• Auto-detects last swing high + swing low
• Draws 11 levels: 0%, 23.6%, 38.2%, 50%, 61.8%, 78.6%, 100%, 127.2%, 161.8%, 200%, 261.8%
• Removes crossed levels automatically
• Clears on new signal (fresh structure analysis)
• Color gradient (bullish to bearish across range)
• Key levels (0.618, 0.5, 1.0) highlighted with solid lines
Support/Resistance Lines
• Resistance: 50-bar highest high (red, only shown when above price)
• Support: 50-bar lowest low (green, only shown when below price)
• Auto-removes when price crosses
Usage: Signals firing at key Fibonacci levels (38.2%, 50%, 61.8%) or major S/R zones have enhanced structural significance.
Dashboard - Real-Time Intelligence
MPI Status:
• Current pressure reading with interpretation
• Color-coded background (green/red/gray zones)
Signal Status:
• Active signal type and direction
• Confidence score with visual bar (20 blocks, color-coded)
• Scanning status when no signal active
Divergence Indicator:
• Highlights active divergence separately (highest priority factor)
Performance Stats:
• Overall win rate with 10-block visual bar
• Directional breakdown (bearish vs. bullish)
• Signal type breakdown (DIV/LIQ/OF/STD individual win rates)
• Sample size for each category
Customization:
• Position: 9 locations (Top/Middle/Bottom × Left/Center/Right)
• Size: Tiny/Small/Normal/Large
• Toggle sections independently
How to Use This System
Initial Setup (10 Minutes)
1. MPI Configuration:
• Period: 14 (balanced) | 5-10 for scalping | 21-30 for swing
• Sensitivity: 1.5 (moderate) | Increase if MPI rarely hits ±0.7 | Decrease if constantly maxed
2. Detection Thresholds:
• Wick Threshold: 0.6 (60% of bar must be wick)
• Volume Spike: 2.0× average (lower to 1.5-1.8 for stocks, raise to 2.5-3.0 for crypto)
• Velocity: 2.0 ATR (raise to 2.5-3.0 for crypto)
3. Confluence Settings:
• Enable Divergence (highest win rate factor)
• Pivot Lookback: 5 (day trading) | 8-10 (swing trading)
• Keep default weights initially
4. Thresholds:
• Premium: 6.0 (quality over quantity)
• Standard: 4.0 (balanced)
• Warning: 2 factors minimum
Trading Workflow
When Warning Fires (Yellow Diamond):
Note warning type (bearish/bullish)
Do not enter - this is preparation only
Monitor for full signal confirmation
Prepare entry parameters
When Signal Fires (Colored Triangle):
Identify type from color (Purple=DIV, Orange=LIQ, Aqua=OF, Red/Green=STD)
Check dashboard confidence score
Verify confluence on chart (wick, volume, MPI extreme, Fib level)
Confirm with your analysis (context, higher timeframe, news)
Enter with proper risk management
Risk Management (Not Provided by Indicator):
• Stop Loss: Beyond recent swing or 1.5-2.0× ATR
• Position Size: Risk 0.5-2% of capital per trade
• Take Profit: 2-3× ATR or next structural level
Performance Analysis (After 30-50 Signals)
Review Dashboard Statistics:
Overall Win Rate:
• Target >50% for profitability with 1:1.5+ RR
• <45% = system may not suit instrument
• >65% = consider tightening thresholds
Directional Analysis:
• Bullish >> Bearish = uptrend bias, avoid counter-trend shorts
• Bearish >> Bullish = downtrend bias, avoid counter-trend longs
Signal Type Ranking:
• Focus on highest win rate types (typically DIV/LIQ)
• If STD <40% = raise threshold or ignore STD signals
• If premium type <50% = investigate (may need parameter adjustment)
Optimize Settings:
• Too many weak signals → Raise thresholds (premium 7.0-8.0, standard 5.0-6.0)
• Too few signals → Lower thresholds or reduce detection strictness
• Adjust factor weights based on what appears in winning signals
What Makes This Original
1. Proprietary Market Pressure Index
Unique Methodology:
• Proportional intrabar allocation: Unlike binary volume classification (OBV), MPI uses close position within range for proportional pressure assignment
• Dual-timeframe normalization: EMA smoothing (14) + SMA normalization (28) for responsiveness with context
• Bounded oscillator with sensitivity control: -1 to +1 range enables cross-instrument comparison while sensitivity allows customization
• Active signal integration: MPI drives divergence detection, extreme requirements, exhaustion confirmation (not just display)
vs. Existing Indicators:
• MFI uses typical price × volume (different pressure measure)
• CMF accumulates over time (not bounded oscillator)
• OBV is cumulative and binary (not proportional or normalized)
2. Hierarchical Confluence Engine
Why Simple Mashups Fail: Most multi-indicator systems create decision paralysis (RSI says sell, MACD says buy).
This System's Solution:
• Six factors weighted by reliability (3.0 down to 1.0)
• Dual thresholds (premium 6.0, standard 4.0)
• Automatic signal triage by quality tier
• Color-coded visual prioritization
Orthogonal Detection: Each factor detects different failure mode:
• Divergence = momentum exhaustion
• Liquidity = institutional manipulation
• Order Flow = smart money positioning
• Wick = supply/demand rejection
• Volume = participation confirmation
• Velocity = parabolic exhaustion
Complementary, not redundant. Weighted synthesis creates unified confidence measure.
3. Self-Validating Performance System
The Problem: Most indicators never reveal actual performance. Traders never know if it works on their instrument.
This Solution:
• Forward-looking validation (signals tracked to pivot confirmation)
• Pivot-based success criteria (objective, mechanical)
• Segmented statistics (by direction and type)
• Real-time dashboard updates
Result: After 30-50 signals, you have statistically meaningful data on what actually works on your specific market. Transforms indicator into adaptive learning system.
Technical Notes
No Repainting:
• All signals use confirmed bar data (closed bars only)
• Pivot detection has inherent lookback lag (5 bars)
• Divergence lines drawn after confirmation (retroactive visualization)
• Signals fire on bar close
Forward-Looking Disclosure:
• Win rate validation looks forward 10 bars for pivot confirmation
• Creates forward bias in statistics , not signal generation
• Real-time performance may differ until validation period elapses
Lookback Limits:
• Fibonacci/S/R: Limited by limitDrawBars (default 100)
• MPI calculation: 28 bars maximum
• Signal storage: 20 per direction (configurable)
Visual Limits:
• Max lines/labels/boxes: 500 each
• Auto-clearing prevents overflow
Limitations & Disclaimers
Not a Complete Trading System:
• Does not provide stop loss, take profit, or position sizing
• Requires trader risk management and market context analysis
Reversal Bias:
• Designed specifically for reversal trading
• Not optimized for trend continuation or breakouts
Learning Period:
• Statistics meaningless until 20-30 mature signals
• Preferably 50+ for statistical confidence
Instrument Dependency:
• Best: Liquid instruments (major forex, large-caps, BTC/ETH)
• Poor: Illiquid small-caps, low-volume altcoins (order flow unreliable)
Timeframe Dependency:
• Optimal: 15m - 4H charts
• Not Recommended: <5m (noise) or >Daily (insufficient signals)
No Guarantee of Profit:
• Win rate >50% does not guarantee profitability (depends on RR, sizing, execution)
• Past performance ≠ future performance
• All trading involves risk of loss
Warning Signals:
• Warnings are NOT trade signals
• Trading warnings produces lower win rates
• For preparation only
Recommended Settings by Instrument
Forex Majors (15m-1H):
• MPI Sensitivity: 1.3-1.5 | Volume: 2.0 | Thresholds: 6.0/4.0
Crypto BTC/ETH (15m-4H):
• MPI Sensitivity: 2.0-2.5 | Volume: 2.5-3.0 | Velocity: 2.5-3.0 | Thresholds: 6.5-7.0/4.5-5.0
Large-Cap Stocks (5m-1H):
• MPI Sensitivity: 1.2-1.5 | Volume: 1.8-2.0 | Thresholds: 6.0/4.0
Index Futures ES/NQ (5m-30m):
• MPI Period: 10-14 | Sensitivity: 1.5 | Velocity: 1.8-2.0 | Thresholds: 5.5-6.0/4.0
Altcoins High Vol (1H-4H):
• MPI Period: 21 | Sensitivity: 2.0-3.0 | Volume: 3.0+ | Thresholds: 7.0-8.0/5.0 (very selective)
Alert Configuration
Built-In Alerts:
Bullish Signal (all types)
Bearish Signal (all types)
Bullish Divergence (DIV only)
Bearish Divergence (DIV only)
Setup:
• TradingView Alert → Select "Pressure Pivots - MPI"
• Choose condition
• Frequency: "Once Per Bar Close" (prevents repainting)
• Configure notifications (popup/email/SMS/webhook)
Recommended:
• Active traders: Enable all signals
• Selective traders: DIV only (highest quality)
In-Code Documentation
Every input parameter includes extensive tooltips (800+ words total) providing:
• What it controls
• How it affects calculations
• Range guidance (low/medium/high implications)
• Default justification
• Asset-specific recommendations
• Timeframe adjustments
Access: Hover over (i) icon next to any setting. Creates self-documenting learning system—no external docs required.
DskyzInvestments | Trade with insight. Trade with anticipation.
Structure & FVG Bias Analyzer — WS🧠 Overview
The Structure & FVG Bias Analyzer — WS helps traders visualize market structure shifts, Fair Value Gaps (FVGs), and trend bias using EMA filtering.
It combines swing-based structural analysis (HH/HL/LH/LL) with smart-money FVG detection, creating a clean contextual view of where the market is expanding or consolidating.
Ideal for Futures, Crypto, and Smart Money traders who need bias clarity before executing entries.
📊 Structure & Bias Logic
🟢 Bullish Context: price breaking above previous highs + EMA200 confirmation.
🔴 Bearish Context: price breaking below previous lows + EMA200 confirmation.
🟡 Neutral/Inside: price consolidating between last swing points.
🟠 EMA200 Line: long-term trend filter (optional).
🧩 Fair Value Gaps (FVGs)
Detects imbalances left by strong moves, often used by institutional trading models.
🟩 FVG↑ → Bullish gap below the candle.
🟥 FVG↓ → Bearish gap above the candle.
These areas frequently act as liquidity magnets or retest zones for continuation trades.
💡 How to Use
1️⃣ Identify structural bias
Green background → bullish market structure.
Red background → bearish structure.
No tint → neutral / range phase.
2️⃣ Locate FVG zones
Circles mark potential imbalances for reaction or continuation setups.
3️⃣ Confirm with EMA200
Only trade in the direction of EMA alignment.
4️⃣ Combine with volatility tools
For example, use this with your Squeeze + Short/Long (Futures) — WS indicator to time entries during volatility expansion once the structure bias is confirmed.
⚙️ Recommended Settings
Component Default Description
Swing Len 3 Pivot sensitivity (swing size)
EMA Len 200 Directional bias filter
FVG Lookback 20 Search range for fair value gaps
🧭 Trading Idea
Use FVGs as retracement zones within confirmed structural bias.
Wait for price to retest an FVG in the direction of bias (Green/Red background).
Combine with volume or volatility expansion tools for high-probability setups.
🧾 Credits
Created with ❤️ by WS Trading Tools
© 2025 GuidoT. Built in Pine Script v6.
Part of the WS Smart Structure Suite for precision trend and liquidity analysis.
Atif's Liquidity Toolkit💎 GENERAL OVERVIEW:
Atif’s Liquidity Toolkit is a price-action-based indicator used to identify Buyside & Sellside Liquidity Levels, Liquidity Sweeps, FVG Sweeps, and Buy/Sell signals, following specific rules from Atif Hussain.
This indicator was developed by Flux Charts in collaboration with Atif Hussain.
🔹Purpose of this indicator:
The purpose of Atif’s Liquidity Toolkit is to help traders understand where liquidity is forming, when it’s being taken, and how momentum shifts immediately afterward. It automates the entire process of identifying buyside & sellside liquidity, detecting liquidity sweeps, and confirming whether displacement followed through a Fair Value Gap. The goal is to give traders a consistent, rule-based framework to interpret market structure.
🎯ATIF’S LIQUIDITY TOOLKIT FEATURES:
Atif’s Liquidity Toolkit indicator includes 6 main features:
Fair Value Gaps
Multi-Timeframe Liquidity Levels
Liquidity Sweeps
Fair Value Gap Sweeps
Buy & Sell Signals with Take-Profit & Stop-Loss Levels
Alerts
1️⃣Fair Value Gaps
🔹What is a Fair Value Gap?:
A Fair Value Gap (FVG) is an area where the market’s perception of fair value suddenly changes. On your chart, it appears as a three-candle pattern: a large candle in the middle, with smaller candles on each side that don’t fully overlap it. A bullish FVG forms when a bullish candle is between two smaller bullish/bearish candles, where the first and third candles’ wicks don’t overlap each other at all. A bearish FVG forms when a bearish candle is between two smaller bullish/bearish candles, where the first and third candles’ wicks don’t overlap each other at all.
Bullish & Bearish FVGs:
In the settings, you can toggle on/off FVGs, choose the invalidation method, adjust the sensitivity, and toggle on FVG Midline & Labels.
🔹Invalidation Method:
The Invalidation Method setting allows traders to choose how an FVG is invalidated. You can choose between Close and Wick.
Close: A candle must close below a bullish FVG or above a bearish FVG to invalidate it.
Wick: A candle’s wick must go below a bullish FVG or above a bearish FVG to invalidate it.
🔹Sensitivity:
The sensitivity setting determines the minimum gap size required for an FVG detection. A higher sensitivity will filter out smaller gaps, while a lower sensitivity will detect more frequent, smaller gaps. Setting the sensitivity to 0 will display all gaps, regardless of their size.
On the left, the sensitivity is 5. On the right, the sensitivity is 0.
🔹Midline:
When enabled, a dashed line is drawn at the center of the FVG.
🔹Labels:
When enabled, a text label will be plotted with the gap, clearly identifying the zone as a FVG.
2️⃣ Multi-Timeframe Liquidity Levels
The indicator automatically detects and plots Buyside Liquidity (BSL) & Sellside Liquidity (SSL) Levels across up to three timeframes simultaneously.
🔹What is Buyside Liquidity?
Buyside Liquidity (BSL) represents price levels where many buy stop orders are sitting, usually from traders holding short positions. When price moves into these areas, those stop-loss orders get triggered and short sellers are forced to buy back their positions. These zones often form above key highs such as the previous day, week, or month. Understanding BSL is important because when price reaches these levels, the sudden wave of buy orders can create sharp reactions or reversals as liquidity is taken from the market.
🔹What is Sellside Liquidity?
Sellside Liquidity (SSL) represents price levels where many sell stop orders are waiting, usually from traders holding long positions. When price drops into these areas, those stop-loss orders are triggered and long traders are forced to sell their positions. These zones often form below key lows such as the previous day, week, or month. Understanding SSL is important because when price reaches these levels, the surge of sell orders can cause sharp reactions or reversals as liquidity is taken from the market.
Atif’s Liquidity Toolkit indicator automatically plots Buyside & Sellside Liquidity levels using the following levels:
Previous Day High (PDH) & Previous Day Low (PDL)
Previous Week High (PWH) & Previous Week Low (PWL)
Previous Month High (PMH) & Previous Month Low (PML)
Asia Session Highs/Lows
London Session Highs/Lows
New York Session Highs/Lows
The session start and end times are not customizable. The following times in EST are used for each session:
Asia Session: 20:00-00:00
London Session: 02:00-05:00
New York Sessions:
NY AM: 09:30-11:00
NY Lunch: 12:00-13:00
NY PM: 14:00-16:00
Users can also plot swing highs/lows using a lookback period and choosing the higher timeframe. Users can choose two custom higher timeframes and also enable swing highs/lows from the current chart’s timeframe.
There are three settings to customize for the current chart’s timeframe and higher timeframes:
Current TF - when toggled on, swing highs/lows will be plotted from the chart’s timeframe using the pivot length input
HTF 1 - when toggled on, swing highs/lows will be plotted from the user-inputted timeframe using the pivot length input
HTF 2 - when toggled on, swing highs/lows will be plotted from the user-inputted timeframe using the pivot length input
The Pivot Length controls how far back the indicator checks to confirm whether a candle’s high or low is a true swing point (also called a “pivot”). When detecting a swing high, the indicator checks if that candle’s high is higher than the highs of the previous X candles and the next X candles. For a swing low, it checks if the candle’s low is lower than the lows of the previous X candles and the next X candles. The number X comes from your Pivot Length setting.
A lower Pivot Length input (for example, 3 or 4) means the indicator only looks at a few candles on each side, so it will detect more swing points, including smaller, less significant ones. A higher Pivot Length input (for example, 20 or 25) makes the indicator look at more candles on each side, so it only marks major turning points that stand out clearly on the chart.
In short:
Low Pivot Length = more frequent, smaller levels (short-term focus)
High Pivot Length = fewer, stronger levels (major swing focus)
The Pivot Length input for each setting (Current TF, HTF 1, and HTF 2) are displayed below in the red boxes:
Each liquidity level is plotted with a text label, making it easy to identify where a level came from. You can turn off the ‘Show Levels’ setting if you don’t want to see the levels on your chart.
Please note: Liquidity Levels play a key role in finding liquidity sweeps, FVG Sweeps, and Buy/Sell signals. Keeping the levels turned off will not stop the indicator from using the levels that are enabled from being used for the other features mentioned.
3️⃣Liquidity Sweeps:
The indicator automatically detects bullish and bearish liquidity sweeps using the liquidity levels you have enabled.
🔹What is a Liquidity Sweep?
A liquidity sweep is a market phenomenon where significant players, such as institutional traders, deliberately drive prices through key levels to trigger clusters of pending buy or sell orders. It’s how the market gathers the liquidity needed for larger participants to enter positions.
Traders often place stop-loss orders around obvious highs and lows, such as the previous day’s, week’s, or month’s levels. When price pushes through one of these areas, it triggers the stops placed there and generates a burst of volume. This often creates a short-term fake-out before the market reverses in the opposite direction.
By detecting these sweeps in real time, traders can identify potential reversal areas or “trap” areas where liquidity has been taken.
🔹Bullish Liquidity Sweep
These occur when price dips below a Sellside Liquidity (SSL) level, taking out the stop-loss orders placed by long traders below that low. The indicator marks a zone around the candle that swept the SSL to highlight where liquidity was removed from the market.
When this happens, it shows that the market just cleared out sell-side liquidity, meaning traders who were long had their stops hit. This is often followed by a reversal or strong reaction upward, because the market no longer has pending liquidity to fill below that level.
🔹Bearish Liquidity Sweep
These occur when price dips above a Buyside Liquidity (BSL) level, taking out the stop-loss orders placed by short seller traders above that high. The indicator marks a zone around the candle that swept the BSL to highlight where liquidity was removed from the market.
When this happens, it shows that the market just cleared out buyside liquidity, meaning short traders had their stops hit. This is often followed by a reversal or strong reaction downward, because the market no longer has pending liquidity to fill above that level.
Under the ‘Liquidity Sweeps’ section in the settings, you can toggle on/off Bullish Regular Sweeps and Bearish Regular Sweeps. You can also customize the line style and color of liquidity levels that have been swept.
🔹How to Use Liquidity Sweeps
Liquidity sweeps are not direct trade signals. They are best used as context when forming a directional bias. A sweep shows that the market has removed liquidity from one side, which can hint at where the next move may develop.
For example:
When Buyside Liquidity (BSL) is swept, it often signals that buy stops have been triggered and the market may be preparing to move lower. Traders may then begin looking for short opportunities.
When Sellside Liquidity (SSL) is swept, it often signals that sell stops have been triggered and the market may be preparing to move higher. Traders may then begin looking for long opportunities.
It’s common practice to use liquidity sweeps as the first step in building a trade idea. Many traders will wait for additional confirmation, such as a fair value gap forming after the sweep, before opening a position.
Under the ‘Liquidity Sweeps’ section in the settings, you can toggle on/off:
Bullish Regular Sweeps - when disabled, Bullish Regular Sweeps won’t appear on your chart.
Bearish Regular Sweeps - when disabled, Bearish Regular Sweeps won’t appear on your chart.
4️⃣Fair Value Gap Sweeps:
The indicator automatically detects bullish and bearish Fair Value Gap sweeps (FVG Sweep) using the liquidity levels you have enabled.
🔹What is a FVG Sweep?
A FVG Sweep is a specific type of liquidity sweep that not only clears liquidity above or below a key level, but also forms a Fair Value Gap (FVG) immediately afterward.
The liquidity sweep shows where stop orders were triggered, areas where the market aggressively took out one side’s liquidity. The formation of a Fair Value Gap right after the sweep confirms that displacement followed. This means that the sweep was not just a stop hunt, but a deliberate move backed by momentum.
In simple terms, a regular liquidity sweep only tells you that liquidity was taken. A FVG Sweep tells you that liquidity was taken and a strong directional move started immediately after, leaving an imbalance in price. That imbalance represents where aggressive buyers or sellers entered the market without enough opposite-side orders to keep price balanced. This combination adds a confirmation and intent behind regular liquidity sweeps.
🔹Bullish FVG Sweep
The indicator automatically detects bullish FVG Sweeps when price takes out a Sellside Liquidity (SSL) level and then forms a bullish FVG within the next few candles. This sequence shows that sellers were stopped out and buyers immediately entered the market with momentum.
🔹Bearish FVG Sweep
The indicator automatically detects bearish FVG Sweeps when price takes out a Buyside Liquidity (BSL) level and then forms a bearish FVG shortly after. This shows that short sellers’ stops were triggered, and new selling pressure entered the market right away.
🔹How to Use FVG Sweeps
Unlike regular liquidity sweeps, FVG Sweeps can be used as trade entries because they confirm both liquidity being cleared and immediate momentum. A regular sweep only shows that stop-losses were triggered, but an FVG Sweep proves that price not only cleared liquidity but also moved away with momentum, leaving behind an imbalance (Fair Value Gap). This shift often marks the start of a new short-term trend.
We’ll cover this in more detail in the Buy and Sell Signal section below, but in short, a bullish FVG Sweep can act as confirmation for a potential long entry after price takes out a low, while a bearish FVG Sweep can confirm a short entry after price takes out a high.
The strongest FVG Sweeps come from extremely sharp reversals. On the chart, they look like a “V” shape for bullish setups or an inverted “V” shape for bearish setups. This shape shows how quickly momentum shifted after liquidity was cleared. When price instantly reverses and leaves a Fair Value Gap behind, it’s a clear sign that buyers or sellers stepped in aggressively and absorbed all available liquidity on the opposite side.
In practice, traders often use FVG Sweeps as a trigger to align their bias. For example, after a bullish FVG Sweep, the focus shifts toward looking for long setups within the new imbalance or during a small retracement into the Fair Value Gap. After a bearish FVG Sweep, traders focus on short setups as price retraces back into the gap before continuing lower. The key takeaway is that FVG Sweeps show conviction.
Under the ‘Liquidity Sweeps’ section in the settings, you can toggle on/off:
Bullish FVG Sweeps - when disabled, Bullish FVG Sweeps won’t appear on your chart.
Bearish FVG Sweeps - when disabled, Bearish FVG Sweeps won’t appear on your chart.
Please Note: the settings you choose to use for Fair Value Gaps, under the ‘Fair Value Gaps’ section, will be used for FVG Sweeps. This is important because if you increase the sensitivity value for FVGs, not all FVG Sweeps will appear if the FVG’s size doesn’t meet the sensitivity threshold.
5️⃣Buy & Sell Signals:
This indicator also plots Buy & Sell signals. These signals follow logic based on Atif Hussain’s FVG trading model. The entry requirements for a Long & Short signal are outlined below.
🔹Buy Signal:
In order for a Buy Signal to generate, the following conditions must occur in order:
Bullish FVG Sweep
Price Retraces to the Bullish FVG
🔹Sell Signal:
In order for a Buy Signal to generate, the following conditions must occur in order:
Bearish FVG Sweep
Price Retraces to the FVG
🔹Require Retracement:
Under the ‘Signals’ section in the settings, you can toggle on/off the ‘Require Retracement’ setting. When disabled, a long/short signal will appear immediately after a Bullish or Bearish FVG Sweep, instead of waiting for price to retrace back to the gap.
Please Note: the liquidity levels you enable under the ‘Liquidity Levels’ section will be the levels used for signals. Thus, if you only have the Previous Day Highs/Lows enabled, then only those levels will be used to generate buy/sell signals. Also, long Signals will only appear if Bullish FVG Sweeps are enabled, and Short Signals will only appear if Bearish FVG Sweeps are enabled.
When a Buy Signal or Sell Signal is plotted, three suggested take-profit levels and one suggested stop-loss level are plotted. There are two different Take-Profit methods you can choose from within the indicator settings: Manual or Auto.
🔹Manual Take-Profit:
If you’re using manual take-profit levels, you can customize the Risk-to-Reward (RR) for Take-Profit 1, 2, and 3 by adjusting the “RR 1”, “RR 2”, and “RR 3” settings. Setting RR 1 to 1 means take-profit 1 is a 1:1 risk-to-reward ratio. The stop-loss will always be placed at the recent low for Buy Signals, and at the recent high for Sell Signals.
🔹Auto Take-Profit:
If you select to use Auto Take-Profit instead of Manual, then Take-Profit 1, 2, and 3 will be automatically determined based on nearby liquidity levels. The stop-loss will be placed at the recent low for Buy Signals, and at the recent high for Sell Signals. Take-Profit Levels 1, 2, and 3 will be placed at the three closest opposite liquidity levels. If the take-profit 2 and take-profit 3 levels are too far away, only one take-profit level will be displayed.
🔹Signal Settings:
Long Signals:
When enabled, long signals are shown. When disabled, long signals will not appear.
Short Signals:
When enabled, short signals are shown. When disabled, short signals will not appear.
Require Retracement:
When enabled, price must retrace to a FVG after a FVG Sweep in order for a signal to be generated.
Take-Profit Levels:
When enabled, take-profit levels (TP 1, TP 2, and TP 3) are shown with long/short signals. When disabled, take-profit levels and their price labels are not displayed.
Take-Profit Labels:
When enabled, take-profit labels are displayed when price reaches one of the three take-profit levels. When disabled, labels won’t appear when price reaches take-profit levels.
Stop-Loss Levels:
When enabled, stop-loss levels are shown for long/short signals. When disabled, the stop-loss level and its price label are not displayed.
Stop-Loss Labels:
When enabled, stop-loss levels are shown for long/short signals. When disabled, a label won’t appear when price reaches the stop-loss level.
6️⃣Alerts:
The indicator supports alerts, so you never miss a key market move. You can choose to receive alerts for each of the following conditions:
Bearish Liquidity Sweep
Bullish Liquidity Sweep
Bearish FVG Sweep
Bullish FVG Sweep
Long Signal
Short Signal
TP 1
TP 2
TP 3
Stop-Loss
‼️Important Notes:
TradingView has limitations when running features on multiple timeframes, such as the liquidity levels, which can result in the following error:
🔹Computation Error:
The computation of using MTF features are very intensive on TradingView. This can sometimes cause calculation timeouts. When this occurs, simply force the recalculation by modifying one indicator’s settings or by removing the indicator and adding it to your chart again.
🚩 UNIQUENESS:
This indicator is unique because it identifies a specific type of liquidity event referred to as FVG Sweeps, where price takes liquidity and then immediately forms a Fair Value Gap in the opposite direction. These FVG Sweeps serve as the foundation of the model, and the script uses them as the required condition for generating Buy and Sell signals. Once an FVG Sweep is confirmed, the indicator automatically produces a fully defined trade idea with a stop-loss and up to three take-profit targets, following a consistent rule-based execution approach.
The Wick Report [Pro]Overview
The Wick Report visualizes how current wick development compares to long-term statistical behavior across multiple higher-timeframe candles.
It references embedded datasets to show where wick formation is historically common, rare, or unusually small for a given session or timeframe.
This provides a data-driven context for directional bias and wick-based targeting — without implying any form of prediction.
Candles that form little or no wick are statistically uncommon. The Wick Report highlights these conditions and displays their percentile rank, exceedance probability, and a derived “score” that reflects how far current wick behavior deviates from typical norms.
Key Features
• Multi-Timeframe Analysis – View wick statistics from 4H, 6H, 12H, Daily, or Weekly candles projected onto any chart.
• Wick Probabilities – Quantifies the historical likelihood of a wick extending beyond its current size.
• Percentile Mapping – Shows where each wick sits within its long-term distribution (e.g., P25 = smaller than 75 % of prior wicks).
• Score System – Automatically combines percentile and probability into a single normalized “target score” for simplified interpretation.
• Wick Modes – Choose how wick data is displayed to suit your analysis style:
– Auto — Detects candle direction automatically and draws the statistically relevant wick (upper or lower).
– Bullish Only — Displays only lower wicks from bullish candles.
– Bearish Only — Displays only upper wicks from bearish candles.
– Both — Draws both upper and lower wick zones simultaneously for full candle symmetry.
• Adaptive Visualization – Color-coded zones and dynamic labels update as higher-timeframe candles evolve.
• Threshold Filters – Optional probability or score filters to hide low-significance wicks.
About the Score
The score balances two opposing factors:
• High probability of a wick extending further, and
• Low percentile ranking (a smaller-than-normal wick).
A strong combination of both produces a higher score, highlighting candles where wick development is statistically most imbalanced.
The scale is purely comparative — derived from historical distributions, not forward prediction.
Target Score Rankings
Outstanding (70 +) – Extremely rare, high-confidence zones — typically at very low percentiles with strong exceedance probability.
Excellent (60–70) – High-confidence targets with clear statistical edge.
Good (50–60) – Solid probability zones, reliable reference levels.
Above Average (40–50) – Decent opportunities within normal ranges.
Average (30–40) – Neutral zones; use additional confirmation.
Below Average (20–30) – Low-confidence references.
Poor (< 20) – High percentiles with low probability; statistically common and uninformative.
Methodology & Use
The Wick Report uses historical wick distributions to classify how current wick sizes compare to typical behavior for the same timeframe and session hour.
When a candle forms a small or missing wick, the tool reports how often that condition historically remained unchanged through the rest of the candle’s interval.
This helps identify when wick development is statistically under- or over-extended.
The data is intended for contextual reference only — for example, combining a high-score, low-percentile wick on a higher timeframe with lower-timeframe structure may provide useful directional confluence.
It does not generate trade signals or predict future movement.
Proprietary Framework
The Wick Report uses embedded statistical datasets built from more than a decade of historical market behavior.
Each timeframe references pre-processed wick-size and exceedance distributions to display where the current wick sits within its long-term statistical range.
All computational methods and dataset structures remain proprietary.
ICT Complex[Iss2k]📘 ICT Complex — Smart Money Concepts Indicator
Overview
The ICT Complex indicator is a comprehensive Smart Money Concepts (SMC) and ICT-based analysis tool designed to visualize institutional trading concepts such as Order Blocks, Liquidity Voids, Swing Structure, and Market Direction.
It combines multiple elements from the Inner Circle Trader (ICT) methodology to help traders identify potential market reversals, liquidity grabs, and premium/discount trading zones.
🧩 Main Features
1. Order Blocks (OB)
Automatically detects bullish and bearish order blocks based on pivot highs and lows.
Displays order block zones as colored boxes (green for bullish, red for bearish).
Optional auto-deletion: an OB zone disappears once price breaks through it.
Zones are confirmed (locked) when retested, providing confluence for trade entries.
2. Swing Highs & Lows (Market Structure)
Detects swing highs (SH) and swing lows (SL) to visualize market structure shifts.
Draws horizontal lines at each confirmed swing point.
When price breaks above a swing high or below a swing low, the indicator signals potential bullish or bearish market structure shifts (MSS).
3. Liquidity Voids (Imbalances / Fair Value Gaps)
Identifies liquidity voids (imbalances) — areas where price moved too quickly and left inefficiency in the market.
Marks these zones with transparent colored boxes:
🟩 Green for bullish voids
🟥 Red for bearish voids
Can optionally label each void for better visualization.
4. Trend Confirmation (EMA 200)
Includes an EMA200 trend filter to identify overall market direction.
The EMA line changes color:
🟩 Green when trending up
🟥 Red when trending down
Used to filter signals in the direction of institutional order flow.
5. DI Strength & Candle Coloring
Uses a modified Directional Index (DI) to color candles based on strength and direction:
🟩 Green = bullish momentum
🟥 Red = bearish momentum
🟪 Purple = neutral
6. Range Filter Logic
A smoothed range filter helps confirm breakout conditions and trend continuation.
Generates Buy (A / A+) or Sell (A / A+) labels when market structure and filter direction align.
Displays real-time peak profit tracking, showing how far price has moved from the entry signal in percentage.
7. Alerts
Configurable Buy and Sell alerts when valid signals are confirmed on the bar close.
💡 How to Use
Apply the indicator to any timeframe (best results on 15m–4h).
Use Order Blocks and Liquidity Voids to identify institutional areas of interest.
Wait for structure shifts (SH/SL breaks) to confirm direction.
Filter trades with EMA200 and Range Filter signals.
Use Buy/Sell alerts as confirmations, not standalone signals.
⚙️ Customization Options
Toggle visibility for each feature: Order Blocks, Liquidity Voids, Swing Signals, Range Labels, etc.
Adjust sensitivity for swing detection and liquidity voids.
Change colors and maximum number of visual elements to suit your chart style.
📈 Summary
The ICT Complex indicator provides an all-in-one framework for Smart Money trading analysis.
It helps traders understand how institutional liquidity, order flow, and market structure interact — aligning your trades with the principles of ICT and Smart Money Concepts.
Volume Based Sampling [BackQuant]Volume Based Sampling
What this does
This indicator converts the usual time-based stream of candles into an event-based stream of “synthetic” bars that are created only when enough trading activity has occurred . You choose the activity definition:
Volume bars : create a new synthetic bar whenever the cumulative number of shares/contracts traded reaches a threshold.
Dollar bars : create a new synthetic bar whenever the cumulative traded dollar value (price × volume) reaches a threshold.
The script then keeps an internal ledger of these synthetic opens, highs, lows, closes, and volumes, and can display them as candles, plot a moving average calculated over the synthetic closes, mark each time a new sample is formed, and optionally overlay the native time-bars for comparison.
Why event-based sampling matters
Markets do not release information on a clock: activity clusters during news, opens/closes, and liquidity shocks. Event-based bars normalize for that heteroskedastic arrival of information: during active periods you get more bars (finer resolution); during quiet periods you get fewer bars (coarser resolution). Research shows this can reduce microstructure pathologies and produce series that are closer to i.i.d. and more suitable for statistical modeling and ML. In particular:
Volume and dollar bars are a common event-time alternative to time bars in quantitative research and are discussed extensively in Advances in Financial Machine Learning (AFML). These bars aim to homogenize information flow by sampling on traded size or value rather than elapsed seconds.
The Volume Clock perspective models market activity in “volume time,” showing that many intraday phenomena (volatility, liquidity shocks) are better explained when time is measured by traded volume instead of seconds.
Related market microstructure work on flow toxicity and liquidity highlights that the risk dealers face is tied to information intensity of order flow, again arguing for activity-based clocks.
How the indicator works (plain English)
Choose your bucket type
Volume : accumulate volume until it meets a threshold.
Dollar Bars : accumulate close × volume until it meets a dollar threshold.
Pick the threshold rule
Dynamic threshold : by default, the script computes a rolling statistic (mean or median) of recent activity to set the next bucket size. This adapts bar size to changing conditions (e.g., busier sessions produce more frequent synthetic bars).
Fixed threshold : optionally override with a constant target (e.g., exactly 100,000 contracts per synthetic bar, or $5,000,000 per dollar bar).
Build the synthetic bar
While a bucket fills, the script tracks:
o_s: first price of the bucket (synthetic open)
h_s: running maximum price (synthetic high)
l_s: running minimum price (synthetic low)
c_s: last price seen (synthetic close)
v_s: cumulative native volume inside the bucket
d_samples: number of native bars consumed to complete the bucket (a proxy for “how fast” the threshold filled)
Emit a new sample
Once the bucket meets/exceeds the threshold, a new synthetic bar is finalized and stored. If overflow occurs (e.g., a single native bar pushes you past the threshold by a lot), the code will emit multiple synthetic samples to account for the extra activity.
Maintain a rolling history efficiently
A ring buffer can overwrite the oldest samples when you hit your Max Stored Samples cap, keeping memory usage stable.
Compute synthetic-space statistics
The script computes an SMA over the last N synthetic closes and basic descriptors like average bars per synthetic sample, mean and standard deviation of synthetic returns, and more. These are all in event time , not clock time.
Inputs and options you will actually use
Data Settings
Sampling Method : Volume or Dollar Bars.
Rolling Lookback : window used to estimate the dynamic threshold from recent activity.
Filter : Mean or Median for the dynamic threshold. Median is more robust to spikes.
Use Fixed? / Fixed Threshold : override dynamic sizing with a constant target.
Max Stored Samples : cap on synthetic history to keep performance snappy.
Use Ring Buffer : turn on to recycle storage when at capacity.
Indicator Settings
SMA over last N samples : moving average in synthetic space . Because its index is sample count, not minutes, it adapts naturally: more updates in busy regimes, fewer in quiet regimes.
Visuals
Show Synthetic Bars : plot the synthetic OHLC candles.
Candle Color Mode :
Green/Red: directional close vs open
Volume Intensity: opacity scales with synthetic size
Neutral: single color
Adaptive: graded by how large the bucket was relative to threshold
Mark new samples : drop a small marker whenever a new synthetic bar prints.
Comparison & Research
Show Time Bars : overlay the native time-based candles to visually compare how the two sampling schemes differ.
How to read it, step by step
Turn on “Synthetic Bars” and optionally overlay “Time Bars.” You will see that during high-activity bursts, synthetic bars print much faster than time bars.
Watch the synthetic SMA . Crosses in synthetic space can be more meaningful because each update represents a roughly comparable amount of traded information.
Use the “Avg Bars per Sample” in the info table as a regime signal. Falling average bars per sample means activity is clustering, often coincident with higher realized volatility.
Try Dollar Bars when price varies a lot but share count does not; they normalize by dollar risk taken in each sample. Volume Bars are ideal when share count is a better proxy for information flow in your instrument.
Quant finance background and citations
Event time vs. clock time : Easley, López de Prado, and O’Hara advocate measuring intraday phenomena on a volume clock to better align sampling with information arrival. This framing helps explain volatility bursts and liquidity droughts and motivates volume-based bars.
Flow toxicity and dealer risk : The same authors show how adverse selection risk changes with the intensity and informativeness of order flow, further supporting activity-based clocks for modeling and risk management.
AFML framework : In Advances in Financial Machine Learning , event-driven bars such as volume, dollar, and imbalance bars are presented as superior sampling units for many ML tasks, yielding more stationary features and fewer microstructure distortions than fixed time bars. ( Alpaca )
Practical use cases
1) Regime-aware moving averages
The synthetic SMA in event time is not fooled by quiet periods: if nothing of consequence trades, it barely updates. This can make trend filters less sensitive to calendar drift and more sensitive to true participation.
2) Breakout logic on “equal-information” samples
The script exposes simple alerts such as breakout above/below the synthetic SMA . Because each bar approximates a constant amount of activity, breakouts are conditioned on comparable informational mass, not arbitrary time buckets.
3) Volatility-adaptive backtests
If you use synthetic bars as your base data stream, most signal rules become self-paced : entry and exit opportunities accelerate in fast markets and slow down in quiet regimes, which often improves the realism of slippage and fill modeling in research pipelines (pair this indicator with strategy code downstream).
4) Regime diagnostics
Avg Bars per Sample trending down: activity is dense; expect larger realized ranges.
Return StdDev (synthetic) rising: noise or trend acceleration in event time; re-tune risk.
Interpreting the info panel
Method : your sampling choice and current threshold.
Total Samples : how many synthetic bars have been formed.
Current Vol/Dollar : how much of the next bucket is already filled.
Bars in Bucket : native bars consumed so far in the current bucket.
Avg Bars/Sample : lower means higher trading intensity.
Avg Return / Return StdDev : return stats computed over synthetic closes .
Research directions you can build from here
Imbalance and run bars
Extend beyond pure volume or dollar thresholds to imbalance bars that trigger on directional order flow imbalance (e.g., buy volume minus sell volume), as discussed in the AFML ecosystem. These often further homogenize distributional properties used in ML. alpaca.markets
Volume-time indicators
Re-compute classical indicators (RSI, MACD, Bollinger) on the synthetic stream. The premise is that signals are updated by traded information , not seconds, which may stabilize indicator behavior in heteroskedastic regimes.
Liquidity and toxicity overlays
Combine synthetic bars with proxies of flow toxicity to anticipate spread widening or volatility clustering. For instance, tag synthetic bars that surpass multiples of the threshold and test whether subsequent realized volatility is elevated.
Dollar-risk parity sampling for portfolios
Use dollar bars to align samples across assets by notional risk, enabling cleaner cross-asset features and comparability in multi-asset models (e.g., correlation studies, regime clustering). AFML discusses the benefits of event-driven sampling for cross-sectional ML feature engineering.
Microstructure feature set
Compute duration in native bars per synthetic sample , range per sample , and volume multiple of threshold as inputs to state classifiers or regime HMMs . These features are inherently activity-aware and often predictive of short-horizon volatility and trend persistence per the event-time literature. ( Alpaca )
Tips for clean usage
Start with dynamic thresholds using Median over a sensible lookback to avoid outlier distortion, then move to Fixed thresholds when you know your instrument’s typical activity scale.
Compare time bars vs synthetic bars side by side to develop intuition for how your market “breathes” in activity time.
Keep Max Stored Samples reasonable for performance; the ring buffer avoids memory creep while preserving a rolling window of research-grade data.
Demand & Supply Smart Zones (Riz)A professional zone engine that detects, ranks, and maintains Supply and Demand areas across multiple timeframes. It combines swing structure, engulfing/imbalance logic, optional liquidity-sweep validation, and trend/volume filters. Zones are refined, merged, aged, and removed automatically, while a dashboard and mini-map summarize the state of the market at a glance.
How it works (why this isn’t a simple mashup)
⦁ Zone Detection (Auto/Manual/Hybrid):
⦁ Auto finds zones from three independent catalysts: swing turns, engulfing patterns, and imbalance candles.
⦁ Manual lets you define a zone precisely (top/bottom + type).
⦁ Hybrid adds your manual zones on top of the model’s detections.
⦁ Strength Model: Each zone receives a score using ATR-scaled size, relative volume (vs SMA), timeframe weight (higher TF = more authority), and session context (optional Killzone boost). This surfaces the most actionable areas rather than plotting everything.
⦁ Filters for Quality (Conservative/Aggressive):
⦁ Conservative can require trend alignment (EMA), volume validation, wide-body candles, structure context, and optional liquidity sweep checks.
⦁ Aggressive relaxes filters for faster, more frequent zones (e.g., scalping).
⦁ Refinement & Styling: Zones can be refined by wick, body, or hybrid logic to avoid over-sized regions. Visuals support solid/gradient/border styles, fresh/retest labels, and a heat-map emoji for strength.
⦁ Lifecycle Management: Zones can auto-delete on touch, delete on break, shrink on retests, expire after X bars, and cap retests. Old/merged zones are cleaned up to keep charts responsive.
⦁ Multi-Timeframe (MTF) Logic: Detects and optionally normalizes HTF zones (e.g., 60/240/D). Overlapping zones are merged across TFs with the higher TF taking precedence and receiving a small strength bonus. This prevents duplication and emphasizes institutional levels.
⦁ Proximity & Interaction Alerts: Alerts can fire on approach, first entry, and break, with separate Supply/Demand variants and per-TF options. An internal tracker avoids duplicate alert spam.
On-chart tools
⦁ Zones: Supply (red) / Demand (green), with “Fresh” or “R#” labels and strength heat-map.
⦁ Dashboard: Counts zones per TF, shows nearest supply/demand (in pips), trend state, and mode.
⦁ Mini-Map: A compact list of the 10 closest zones with TF, freshness, strength, and distance.
⦁ Trend Line (optional): EMA for directional context.
⦁ Killzone Background (optional): Session emphasis for timing.
Inputs & Key Options
⦁ Detection Mode: Auto · Manual · Hybrid
⦁ Strictness: Aggressive (more zones) · Conservative (fewer, higher quality)
⦁ Catalysts: Engulfing, Imbalance (ATR + volume threshold), Swing strength
⦁ Filters: Volume multiplier, wide-body %, trend EMA, structure checks, liquidity sweep lookback
⦁ MTF: Up to 3 higher TFs, with normalization to prevent oversized zones and priority stacking
⦁ Management: Auto-delete on touch, delete on break, dynamic shrinking, expiry bars, max retests
⦁ Merging: Overlap threshold and cross-TF consolidation
⦁ Alerts: Proximity (distance in pips), First Entry (fresh touch), Break, per-TF toggles
⦁ Display: Labels, size, heat-map, merging tags, dashboard position, mini-map
How to use
1. Choose Strictness
⦁ Conservative for swing/HTF traders who prefer cleaner, stronger zones.
⦁ Aggressive for scalpers who want earlier, more frequent levels.
2. Enable MTF and set HTF1/HTF2(/HTF3). Turn on Normalization to avoid giant HTF boxes.
3. Pick Catalysts & Filters. Start with Engulfing + Imbalance + Swing. Add volume/EMA/liquidity filters for quality.
4. Watch the Dashboard: It highlights mode, counts per TF, nearest zones (with distance), and overall trend.
5. Trade the Interaction:
⦁ Proximity alert → prepare;
⦁ First entry (fresh touch) → your confirmation rules;
⦁ Break → consider flips or invalidation.
6. Manual Zones (Hybrid): Add precise institutional levels and let the engine manage them (shrink, expire, merge).
Alerts (titles you’ll see)
⦁ Zone Proximity – approach within X pips
⦁ Zone Entry / Supply Zone Entry / Demand Zone Entry – first touch
⦁ Zone Break / Supply Zone Break / Demand Zone Break – clean break
⦁ Current TF / HTF1 / HTF2 Zone Alert – timeframe-specific triggers
⦁ Any Zone Alert – catch-all for any interaction
Notes & Tips
⦁ Fresh > Retested: First touches generally score better and are labeled accordingly.
⦁ Context Matters: Combining HTF zones with trend and volume filters significantly improves selectivity.
⦁ Performance: Zone limits and periodic cleanup are built in. If you plot many HTFs with Aggressive mode, consider raising strictness or lowering max zones.
Disclaimer
This tool is for educational and analytical purposes only. It does not constitute financial advice, nor does it guarantee outcomes. Trading involves risk; use proper risk management and your own judgment.
Multi-indicators [Koriao]Indicators include:
-Market Session
-20,50,200 EMA
-2 ATR band for lot sizing
-Last closed position or Last bar ATR
-Imbalanced Zones
-MACD crossover above/below 200 ema
-Bollinger Band
Fair Value Gap Suite Adrian V1.0.0Brief description
The “FVG Suite” identifies fair value gaps across multiple time units, evaluates them with a displacement score, optionally filters them according to market structure events (BOS/CHOCH), and provides context-based alerts for first touch, partial and full fills, and invalidation. The aim is to show only high-quality imbalances and trade them based on rules.
What makes the script unique (originality/added value)
Displacement score: Strength of the impulse movement as a combination of (body/ATR, range/ATR, volume Z-score).
MTF aggregator: FVGs from higher timeframes are collected, ranked, and displayed as zones on the active chart (including overlap clustering).
Structure context: Optionally, only FVGs after confirmed BOS/CHOCH in the trend direction, including premium/discount evaluation relative to the HTF range.
Adaptive invalidation: FVG expires after candles, opposing BOS or defined time (e.g., end of session).
Session/instrument filter: Time window (e.g., NY/LDN), minimum tick size, ATR-based minimum gap.
Smart fill logic: Distinguishes between first touch, partial fill (≥ %), full fill (100%); alarms per event.
Statistics overlay (optional): Hit rate/expectancy per TF & session for fine-tuning the filters.
How it works (conceptually)
FVG definition (3-candle pattern): Bullish if High < Low (bearish analog). Size = gap span in points.
Quality score:Score = w1*(|Body|/ATR) + w2*(Range/ATR) + w3*(Volume-Z), normalized to 0–100.
MTF scan: List of higher TFs: (customizable). Findings are merged, ranked, and displayed as zones with priority (color/opacity).
Context filter: Only FVGs that emerge after BOS/CHOCH in the direction of the current trend; optional exclusion in premium/discount areas.
Invalidation & alerts: A zone is considered active until the invalidation rule takes effect. Alerts are triggered upon: initial contact, partial/full filling, invalidation.
Important inputs
Min. FVG size: × ATRor ticks/points
Min. displacement score: (0–100)
MTF list:
BOS/CHOCH filter: On/Off (Lookback candles)
Session filter: NY/LDN/Asia (local time, weekend toggle)
Invalidation: maxBars = , Opposite BOS = On/Off, Session End = On/Off
Fill definitions: Partial fill ≥ % of the gap; Full fill = 100%
Overlay options: Zone color/transparency, HTF label, statistics overlay On/Off
Alerts (names & triggers)
FVG Suite – First Touch: Price touches an active FVG zone for the first time.
FVG Suite – Partial Fill: Partial fill ≥ configured threshold.
FVG Suite – Full Fill: Gap completely filled.
FVG Suite – Invalidated: Zone invalidated by rules. (Alert message contains: symbol, TF of the zone, direction, score, size, trigger rule.)
Use (best practices)
Trade in the trend direction with BOS/CHOCH filter; target counter-imbalances/liquidity pools.
Use session filters to avoid news spikes/illiquid periods.
Calibrate parameters for each market/TF (ATR/volume profiles differ).
Limitations
Structure labels can be reevaluated for new highs/lows (repainting of labels, not of FVG finds).
Spreads/news can generate “pseudo fills.”
Backtests/statistics are sample-dependent; no guarantee of results.
Changelog
v1.0 – First release (score model, MTF aggregator, BOS/CHOCH filter, fill alerts).
Credits
FVG concept: public ICT/SMC literature (general idea). Implementation/scoring, MTF ranking, smart fill logic: own development.
Note/disclaimer
No financial advice. For educational purposes only. Trading involves high risk; use stop losses and a fixed risk budget.
