Momentum by Trading BiZonesSqueeze Momentum Indicator with EMA
Overview
The Squeeze Momentum Indicator with EMA is a powerful technical analysis tool that combines the original Squeeze Momentum concept with an Exponential Moving Average (EMA) overlay. This enhanced version helps traders identify market momentum, volatility contractions (squeezes), and potential trend reversals with greater precision.
Core Concept
The indicator operates on the principle of volatility contraction and expansion:
Squeeze Phase: When Bollinger Bands move inside the Keltner Channel, indicating low volatility and potential energy buildup
Expansion Phase: When momentum breaks out of the squeeze, signaling potential directional moves
Key Components
1. Squeeze Momentum Calculation
Formula: Momentum = Linear Regression(Close - Average Price)
Where Average Price = (Highest High + Lowest Low + SMA(Close)) / 3
Visualization: Histogram bars showing positive (green) and negative (red) momentum
Zero Line: Represents equilibrium point between buyers and sellers
2. EMA Overlay
Purpose: Smooths momentum values to identify underlying trends
Customization:
Adjustable period (default: 20)
Toggle on/off display
Customizable color and line thickness
Cross Signals: Buy/sell signals when momentum crosses above/below EMA
3. Volatility Bands
Bollinger Bands (20-period, 2 standard deviations)
Keltner Channels (20-period, 1.5 ATR multiplier)
Squeeze Detection: Visual background shading when BB are inside KC
Trading Signals
Buy Signals (Green Upward Triangle)
Momentum histogram crosses ABOVE EMA line
Occurs during or after squeeze release
Confirmed by expanding histogram bars
Sell Signals (Red Downward Triangle)
Momentum histogram crosses BELOW EMA line
Often precedes market downturns
Watch for increasing negative momentum
Squeeze Warnings (Gray Background)
Market in low volatility state
Prepare for potential breakout
Direction indicated by momentum bias
Indicator Settings
Main Parameters
Length: Period for calculations (default: 20)
Show EMA: Toggle EMA visibility
EMA Period: Smoothing period for EMA
Visual Settings
Histogram color-coding based on momentum direction
EMA line color and thickness
Signal marker size and visibility
Squeeze zone background display
Practical Applications
Trend Identification
Uptrend: Consistently positive momentum with EMA support
Downtrend: Consistently negative momentum with EMA resistance
Range-bound: Oscillating around zero line
Entry/Exit Points
Conservative Entry: Wait for squeeze release + EMA crossover
Aggressive Entry: Anticipate breakout during squeeze
Exit: Opposite crossover or momentum divergence
Risk Management
Use squeeze zones as warning periods
EMA crossovers as confirmation signals
Combine with support/resistance levels
Advanced Interpretation
Momentum Strength
Strong Bullish: Tall green bars above EMA
Weak Bullish: Short green bars near EMA
Strong Bearish: Tall red bars below EMA
Weak Bearish: Short red bars near EMA
Divergence Detection
Price makes higher high, momentum makes lower high → Bearish divergence
Price makes lower low, momentum makes higher low → Bullish divergence
Squeeze Characteristics
Long squeezes: More potential energy
Frequent squeezes: Choppy market conditions
No squeezes: High volatility, trending markets
Recommended Timeframes
Scalping: 1-15 minute charts
Day Trading: 15-minute to 4-hour charts
Swing Trading: 4-hour to daily charts
Position Trading: Daily to weekly charts
Best Practices
Confirmation
Use with volume indicators
Check higher timeframe direction
Wait for candle close confirmation
Filtering Signals
Ignore signals during extreme volatility
Require minimum bar size for crossovers
Consider market context (news, sessions)
Combination Suggestions
With RSI: Confirm overbought/oversold conditions
With Volume Profile: Identify high-volume nodes
With Support/Resistance: Key level reactions
With Trend Lines: Breakout confirmations
Limitations
Lagging indicator (based on past data)
Works best in trending markets
May give false signals in ranging markets
Requires proper risk management
Conclusion
The Squeeze Momentum Indicator with EMA provides a comprehensive view of market dynamics by combining volatility analysis, momentum measurement, and trend smoothing. Its visual clarity and customizable parameters make it suitable for traders of all experience levels seeking to identify high-probability trading opportunities during volatility contractions and expansions.
Wyszukaj w skryptach "volume profile"
Nexural JMAHere's a natural description for TradingView:
Nexural JMA - Jurik Moving Average with Multi-Factor Analysis
WHAT IT DOES
This is a Jurik Moving Average indicator that I've enhanced with multi-factor scoring to help you identify high-quality trade setups. JMA is known for being smoother and more responsive than traditional moving averages, which means less lag without the whipsaw you get from faster EMAs.
The indicator plots the JMA line on your chart with dynamic support and resistance zones, entry signals, and a real-time dashboard that scores market conditions from 0 to 100 across five key factors.
KEY FEATURES
Jurik Moving Average - A sophisticated moving average that adapts quickly to price changes while staying smooth. You can adjust the phase and power settings to control its responsiveness.
Dynamic Zones - Creates a cloud around the JMA based on ATR. Think of it as a buffer zone that shows where price typically bounces or breaks through.
Multi-Factor Scoring - Real-time scores for Momentum, Volume, Volatility, and Trend Strength. All metrics are normalized to 0-100 so you can quickly see what's strong and what's weak.
Strength-Based Gradient - The JMA line and cloud change opacity based on trend strength. Bright and solid means strong conviction, faded means weak or transitional.
Filtered Signals - Entry signals only appear when multiple factors align - price crosses the JMA, volume confirms, and trend strength is adequate.
HOW TO USE IT
The JMA Line - This is your trend filter. When the line is green and rising, look for long opportunities. When it's red and falling, look for shorts. The brighter the color, the stronger the trend.
The Cloud - Price typically bounces off the cloud edges in trends. When price breaks through the cloud against the trend, it often signals exhaustion or reversal.
Entry Signals - Green triangles below price are long signals. Red triangles above price are short signals. These only fire when volume, momentum, and trend strength are adequate.
The Dashboard - This is your market health monitor. Check it before taking a trade. You want to see high scores (70+) in momentum and trend strength for the best setups. Volume above 50 adds confirmation.
Volatility Score - High volatility (70+) means wider stops and bigger targets. Low volatility (below 30) means tighter ranges and smaller moves.
BEST PRACTICES
Use the dashboard to filter trades. If trend strength is below 40, the market is choppy and you're better off waiting for clarity.
Pay attention to the gradient intensity. A bright solid JMA line with a visible cloud means the trend has conviction. A faded line means the trend is weak or transitioning.
Volume matters. Signals with volume scores above 70 tend to have better follow-through than those with weak volume.
Don't force trades when momentum is low. Below 40 momentum score means the market is consolidating or drifting.
Use the cloud as a stop loss guide in trends. Price reclaiming the cloud against the trend is often your signal to exit or tighten stops.
UNDERSTANDING THE SCORES
Momentum Score - Measures the rate of change over 10 bars compared to recent history. High scores mean price is moving decisively.
Volume Score - Compares current volume to the last 100 bars. Above 70 means volume is strong, below 30 means it's weak.
Volatility Score - Based on ATR percentile. High scores mean the market is moving with larger swings, low scores mean it's quiet.
Trend Strength - Combines how far price is from the JMA plus the slope of the JMA itself. This is your conviction meter.
SETTINGS BREAKDOWN
JMA Length - Default is 7, which is quite responsive. Increase to 14 or 21 for smoother trends on higher timeframes. Lower to 5 for faster response on scalping timeframes.
Phase - Default is 50 which is balanced. Higher values (70-100) make it more responsive but can increase whipsaws. Lower values (0-30) make it smoother but add lag.
Power - Controls the JMA curve calculation. Default is 2 which works well. Higher values make it more responsive at the cost of smoothness.
Source - Default is close, but you can experiment with hlc3 or ohlc4 for different characteristics.
PROS
Clean visual presentation - The gradient system makes trend strength obvious at a glance.
No guesswork on market conditions - The scored dashboard tells you exactly what's working and what's not.
Filtered signals - Unlike basic moving average crosses, these signals require multiple confirmations.
Adaptable - Works on stocks, crypto, forex, and futures. Just adjust the length for your timeframe.
Low lag - JMA responds faster than SMA or EMA of the same length, so you get earlier entries.
CONS
JMA can be sensitive - On the default settings, you might see some false signals in choppy markets. Consider increasing the length if this happens.
Requires interpretation - The dashboard gives you data, but you still need to make the trading decision. It's not a one-click solution.
Works best in trends - Like most moving average systems, it struggles in tight sideways ranges. Low trend strength scores will warn you when this is happening.
Not ideal for very fast scalping - The default length of 7 works for 5-minute and above, but for 1-minute scalping, you might need to drop it to 3-5 and accept more noise.
Volume data quality matters - On some assets or timeframes, volume data is unreliable or unavailable. The volume score will be less useful in those cases.
TIPS FROM MY TESTING
The indicator works best on the 5-minute to daily timeframes. I've had the most success on 15-minute and 1-hour charts.
When all scores are above 60, you're in prime trading conditions. These are your A+ setups.
Use it with support and resistance. When a signal fires at a key level with high trend strength, the probability increases significantly.
The cloud is your friend in trends. In strong trends, price will use the cloud edges as support or resistance for continuation entries.
Don't ignore weak signals in strong trends. Sometimes a low momentum score during a pullback in a strong trend is your best re-entry point.
Watch for divergence between price and the JMA. If price makes a new high but the JMA is fading in color and trend strength is dropping, that's often a warning sign.
ALERT SYSTEM
The alerts include the trend strength score in the message, so you know immediately if it's a high-conviction signal or a marginal one. Set your alerts to "once per bar close" to avoid repainting.
COMBINING WITH OTHER TOOLS
This works great with RSI or stochastic for timing entries. Use the JMA for trend direction and zones for context, then use an oscillator to time the exact entry.
It pairs well with volume profile. The JMA shows you the trend, volume profile shows you where the battle is happening.
Consider using a higher timeframe JMA for bias and a lower timeframe for entries. If the 1-hour JMA is bullish with 80 trend strength, look for long entries on the 15-minute chart.
This indicator is designed to give you clarity in a noisy market. The JMA itself is a powerful tool, but adding the multi-factor scoring system helps you understand the quality of what you're seeing. It's not magic, but it's been helpful for filtering out the junk and focusing on the setups with the best probability.
As always, backtest it on your markets and timeframes. Adjust the settings to fit your trading style. What works for one person might not work for another, so make it your own.
Good luck and trade safe.
chanlun缠论 - 笔与中枢Overview
The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones.
Theoretical Foundation
Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures:
Local Extremes: Swing highs and lows identified through lookback periods
Strokes (笔): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas
Key Components
1. Local Extreme Detection
Identifies swing highs and lows using a configurable lookback period (default: 5 bars)
Only considers extremes within the specified calculation range
Forms the foundation for stroke construction
2. Stroke (笔) Identification
The indicator applies a multi-stage filtering process to identify valid strokes:
Stage 1 - Extreme Consolidation:
Merges consecutive extremes of the same type (high or low)
Keeps only the most extreme value (highest high or lowest low)
Stage 2 - Stroke Validation:
Ensures minimum bar gap between strokes (default: 4 bars)
Alternative validation: 2+ bars with >1% price change
Eliminates noise and insignificant price movements
Color Coding:
White Lines: Regular up/down strokes
Yellow Lines: Strokes that form part of a central hub
Customizable width and colors for different stroke types
3. Central Hub (中枢) Formation
A central hub forms when at least 3 consecutive strokes have overlapping price ranges:
Formation Rules:
Stroke 1:
Stroke 2:
Stroke 3:
Hub Upper = MIN(High1, High2, High3)
Hub Lower = MAX(Low1, Low2, Low3)
Valid if: Hub Upper > Hub Lower
Hub Extension:
Subsequent strokes that overlap with the hub extend it
Hub ends when a stroke no longer overlaps
Creates rectangular zones on the chart
Visual Representation:
Green rectangular boxes: Mark the time and price range of each central hub
Dashed extension lines: Show the latest hub boundaries extending to the right
Price labels on axis: Display exact hub upper and lower boundary values
4. Extreme Point Markers (Optional)
Red markers for tops (▼)
Green markers for bottoms (▲)
Marks every validated stroke extreme point
Useful for detailed structure analysis
5. Information Table (Optional)
Displays real-time statistics:
Symbol name
Current timeframe
Lookback period setting
Minimum gap setting
Total stroke count
Parameter Settings
Performance Settings
Max Bars to Calculate (3600): Limits historical calculation to improve performance
Local Extreme Lookback Period (5): Bars used to identify swing highs/lows
Min Gap Bars (4): Minimum bars required between valid strokes
Display Settings
Show Strokes: Toggle stroke line visibility
Show Central Hub: Toggle hub box visibility
Show Hub Extension Lines: Toggle dashed boundary lines
Show Extreme Point Marks: Toggle top/bottom markers
Show Info Table: Toggle statistics table
Color Settings
Full customization of:
Up/down stroke colors and widths
Hub stroke colors and widths
Hub border and background colors
Extension line colors
Trading Applications
Trend Structure Analysis
Uptrend: Series of higher highs and higher lows connected by strokes
Downtrend: Series of lower highs and lower lows connected by strokes
Consolidation: Formation of central hubs indicating range-bound movement
Support and Resistance Identification
Central Hub Zones: Act as strong support/resistance areas
Hub Upper Boundary: Resistance level in consolidation, support after breakout
Hub Lower Boundary: Support level in consolidation, resistance after breakdown
Price tends to react at these levels due to market structure memory
Breakout Trading
Bullish Breakout: Price closes above hub upper boundary
Previous resistance becomes support
Entry on retest of upper boundary
Stop loss below hub zone
Bearish Breakdown: Price closes below hub lower boundary
Previous support becomes resistance
Entry on retest of lower boundary
Stop loss above hub zone
Reversal Detection
Hub Formation After Trend: Signals potential trend exhaustion
Multiple Hub Levels: Create probability zones for reversals
Stroke Count: Excessive strokes within hub suggest weakening momentum
Position Management
Use hub boundaries for stop loss placement
Scale out positions at hub edges
Re-enter on retests of broken hub levels
Interpretation Guide
Strong Trending Market
Long, clear strokes with minimal overlap
Few or no central hubs forming
Strokes consistently in same direction
Wide spacing between extremes
Consolidating Market
Multiple central hubs forming
Short, overlapping strokes
Yellow hub strokes dominate the chart
Narrow price range
Trend Transition
Hub formation after extended trend
Stroke direction changes frequently
Hub boundaries being tested repeatedly
Potential reversal zone
Advanced Usage Techniques
Multi-Timeframe Analysis
Higher Timeframe: Identify major hub zones for overall market structure
Lower Timeframe: Find precise entry points within larger structure
Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks
Hub Quality Assessment
Wide Hubs: Strong consolidation, higher probability support/resistance
Narrow Hubs: Weak consolidation, may break easily
Extended Hubs: More strokes = stronger zone
Isolated Hubs: Single hub = potential pivot point
Stroke Analysis
Stroke Length: Longer strokes = stronger momentum
Stroke Speed: Fewer bars per stroke = explosive moves
Stroke Clustering: Many short strokes = indecision
Best Practices
Parameter Optimization
Adjust lookback period based on timeframe and volatility
Lower periods (3-4): More strokes, more noise, faster signals
Higher periods (7-10): Fewer strokes, cleaner structure, slower signals
Confirmation Strategy
Don't trade on strokes alone
Combine with volume analysis
Use candlestick patterns at hub boundaries
Wait for breakout confirmation
Risk Management
Always place stops outside hub zones
Use hub width to size positions (wider hub = smaller position)
Exit if price re-enters broken hub from wrong direction
Avoid Common Pitfalls
Don't trade within central hubs (range-bound, unpredictable)
Don't ignore higher timeframe hub structures
Don't chase strokes after they've extended far from hub
Don't trust single-stroke hubs (need 3+ strokes for validity)
Performance Considerations
Max Bars Limit: Set to 3600 to balance detail with performance
Safe Distance Calculation: Only draws objects within 2000 bars of current price
Object Cleanup: Automatically removes old drawing objects to prevent memory issues
Efficient Arrays: Uses indexed arrays for fast lookup and processing
Ideal Market Conditions
Best Performance:
Liquid markets with clear structure (major forex pairs, indices, large-cap stocks)
Trending markets with periodic consolidations
Medium to high volatility for clear stroke formation
Less Effective:
Extremely choppy, directionless markets
Very low timeframes (< 5 minutes) with excessive noise
Illiquid instruments with erratic price action
Integration with Other Indicators
Complementary Tools:
Volume Profile: Confirm hub significance with volume nodes
Moving Averages: Use for trend bias within stroke structure
RSI/MACD: Momentum confirmation at hub boundaries
Fibonacci Retracements: Hub levels often align with Fib levels
Advantages
✓ Objective Structure: Removes subjectivity from market structure analysis
✓ Visual Clarity: Color-coded strokes and clear hub zones
✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
✓ Complete Framework: Provides entry, exit, and risk management levels
✓ Theoretical Foundation: Based on proven Chan Theory methodology
✓ Customizable: Extensive parameter and visual customization options
Limitations
⚠ Learning Curve: Requires understanding of Chan Theory principles
⚠ Lag Factor: Strokes confirm after price movements complete
⚠ Parameter Sensitivity: Different settings produce significantly different results
⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
⚠ Computation Intensive: May slow down on lower-end systems with max bars setting
Optimization Tips
Timeframe Selection
Scalping: 5-15 minute charts, lookback period 3-4
Day Trading: 15-60 minute charts, lookback period 4-5
Swing Trading: 4-hour to daily charts, lookback period 5-7
Position Trading: Daily to weekly charts, lookback period 7-10
Volatility Adjustment
High volatility: Increase minimum gap bars to reduce noise
Low volatility: Decrease lookback period to capture smaller moves
Visual Optimization
Use contrasting colors for different market conditions
Adjust line widths based on chart resolution
Toggle markers off for cleaner appearance once familiar with structure
Quick Start Guide
For Beginners:
Start with default settings (5 lookback, 4 min gap)
Enable "Show Info Table" to track stroke count
Focus on identifying clear hub formations
Practice waiting for price to break hub boundaries before trading
For Advanced Users:
Optimize lookback and gap parameters for your instrument
Use hub strokes (yellow) to identify key consolidation zones
Combine with multiple timeframes for confirmation
Develop entry rules based on hub breakout/retest patterns
This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Smart Liquidity & OTE Analysis Tool # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (✓) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (✅) or exited without filling (❌)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open →
- Followed by a retrace into a bullish OTE zone →
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
SLO Pro-J-Algo # Smart Liquidity & OTE Analysis Tool
## OVERVIEW
This indicator is designed for traders who utilize institutional trading concepts, specifically liquidity sweeps and optimal trade entry (OTE) zones, combined with session-based market structure analysis. It identifies potential market manipulation points where stop losses are likely clustered, and highlights high-probability entry zones based on Fibonacci retracements.
The tool combines four main analytical components that work synergistically to identify trading opportunities aligned with smart money behavior.
---
## CORE CONCEPTS & METHODOLOGY
### 1. TRADING SESSIONS ANALYSIS
**What it does:**
The indicator tracks three major forex trading sessions with customizable time zones:
- **Asian Session** (Default: 01:00-13:00 UTC+4) - Typically characterized by range-bound price action
- **London Session** (Default: 11:00-20:00 UTC+4) - High volatility period with increased institutional activity
- **New York Session** (Default: 17:00-00:00 UTC+4) - Overlaps with London creating peak liquidity
**How it works:**
- Automatically highlights active sessions with colored background boxes
- Draws session high/low lines which often act as intraday support/resistance
- Identifies session overlaps (e.g., London-NY overlap) where volatility and liquidity are highest
- Color-codes the price bars during overlaps to alert traders to increased opportunity periods
- Displays real-time session status (🟢 Open / 🔴 Closed) for quick reference
**Trading Application:**
Session highs and lows frequently become liquidity targets. The indicator helps traders anticipate when price might sweep these levels before continuing in the original direction. Session overlaps are prime times for major moves as multiple institutional players are active simultaneously.
---
### 2. EXTERNAL LIQUIDITY SWEEPS
**What it does:**
Identifies when price "sweeps" or breaks beyond significant swing highs and lows where stop losses are typically clustered. These sweeps often precede reversals or continuations after liquidity is collected.
**How it works:**
- Scans the previous 20 bars (configurable) to identify swing high and low points
- Marks these levels as "buyside liquidity" (above highs) or "sellside liquidity" (below lows)
- Monitors price action using three detection methods:
* **Wick Break:** Any candle wick extending beyond the liquidity level
* **Close Break:** Candle body closing beyond the level (stronger confirmation)
* **Full Retrace:** Price breaks the level then closes back inside the range (classic liquidity grab)
- Uses an ATR-based buffer to avoid false signals from minor price spikes
- Confirms sweeps only after a configurable number of confirmation bars to reduce repainting
**The Logic Behind It:**
Institutional traders need liquidity to fill large orders. Stop losses clustered above swing highs and below swing lows provide this liquidity. When these levels are swept, it often indicates smart money is entering positions in the opposite direction, causing reversals.
**Visual Representation:**
- Blue horizontal lines mark buyside liquidity zones (above price)
- Gray horizontal lines mark sellside liquidity zones (below price)
- Labels indicate when liquidity has been swept (✓) or remains active
- Historical zones are maintained for context (configurable display limit)
---
### 3. INTERNAL LIQUIDITY DETECTION
**What it does:**
Identifies equal highs (EQH) and equal lows (EQL) within recent price action - levels that have been tested multiple times without breaking. These represent internal liquidity pools that price often revisits before making larger moves.
**How it works:**
- Examines the most recent 8 bars (configurable) for price levels that occur multiple times
- Uses an ATR-based threshold (default 0.1% of ATR) to determine if highs or lows are "equal"
- Requires minimum 3 occurrences (configurable) of the same level to qualify as internal liquidity
- Tracks both the creation and sweeping of these internal levels
- Differentiates between wick breaks and close breaks for sweep confirmation
**The Concept:**
Unlike external liquidity at swing points, internal liquidity represents recent stop clusters and pending orders within the current price structure. Identifying these levels helps traders anticipate short-term price targets and potential reversal points before larger directional moves.
**Why This Matters:**
Price often needs to clear internal liquidity before making sustained moves to external liquidity levels. This creates a "roadmap" of where price is likely to go in sequence, improving trade timing.
**Visual Representation:**
- Cyan lines mark internal buyside liquidity (equal highs)
- Orange lines mark internal sellside liquidity (equal lows)
- Dashed or solid lines based on user preference
- Labels show when internal levels are swept
---
### 4. OPTIMAL TRADE ENTRY (OTE) ZONES
**What it does:**
Calculates and displays Fibonacci retracement zones (0.618-0.786) from recent swing points, representing "discount" or "premium" areas where institutional traders often enter positions after a liquidity sweep or structure break.
**How it works:**
- Identifies swing highs and lows using a 10-bar lookback period (configurable)
- Calculates three key Fibonacci levels:
* **0.618** - The "golden ratio" retracement (most significant)
* **0.705** - Mid-point between 0.618 and 0.786
* **0.786** - Deep retracement level (square root of 0.618)
- Optionally requires a structure break before displaying OTE zones
- Dynamically extends zones as new price action develops
- Tracks whether price has entered the zone (✅) or exited without filling (❌)
- Displays up to 2 most recent zones (configurable) to avoid chart clutter
**The Methodology:**
OTE zones represent areas where price is at a "discount" (for longs) or "premium" (for shorts) relative to the recent swing. After a liquidity sweep or structure break, institutional traders often wait for retracements into these zones before entering, as it offers better risk-to-reward ratios.
**Combining with Liquidity:**
The most powerful setups occur when:
1. External liquidity is swept
2. Price retraces into an OTE zone
3. Internal liquidity is present as a target
This confluence suggests smart money activity and high-probability trade opportunities.
**Visual Representation:**
- Shaded blue zone between 0.618 and 0.786 levels
- Three horizontal lines showing key Fibonacci levels with different colors/styles
- Labels (🎯) indicate bullish or bearish OTE zones
- Entry (✅) and exit (❌) status for each zone
---
## WHY THESE FEATURES WORK TOGETHER
This indicator combines these four components because they represent different stages of institutional trading behavior:
1. **Session Timing** - Identifies WHEN institutional activity is highest
2. **Liquidity Sweeps** - Shows WHERE smart money is collecting liquidity
3. **OTE Zones** - Highlights WHERE institutional entries likely occur after sweeps
4. **Internal Liquidity** - Provides SHORT-TERM targets for profit-taking or add-ons
Rather than using each concept in isolation, this integration creates a complete market structure framework. For example:
- A buyside liquidity sweep during London open →
- Followed by a retrace into a bullish OTE zone →
- With internal sellside liquidity as the initial target
This sequence represents a complete high-probability trade setup aligned with smart money principles.
---
## ANTI-REPAINTING FEATURES
**The Repainting Problem:**
Many indicators that identify patterns on historical data repaint their signals when live trading, showing signals that weren't actually there in real-time. This creates a false sense of accuracy.
**Our Solution:**
- **Confirmation Bars Setting:** Signals only appear after X bars have confirmed the pattern (default: 2 bars)
- **Marked Confirmation:** Labels show "C" when using confirmed signals
- **Trade-off:** More confirmation = less repainting but slightly delayed signals
- **User Control:** Traders can toggle between real-time signals (faster but may repaint) and confirmed signals (delayed but reliable)
---
## KEY CUSTOMIZATION OPTIONS
### Master Controls
- Toggle each major feature on/off independently
- Combine only the features relevant to your trading style
### Display Settings
- Adjust lookback periods for each component
- Control number of historical zones displayed
- Customize colors, line styles, and transparency
- Show/hide labels and session names
- Configure text sizes for different screen setups
### Detection Sensitivity
- **Sweep Detection:** Choose between wick breaks, close breaks, or full retraces
- **ATR Buffer:** Add distance requirements to confirm sweeps (reduces false signals)
- **Equal Level Threshold:** Adjust how close levels must be to qualify as "equal"
- **Confirmation Bars:** Balance between signal speed and reliability
### Alert System
- Session open/close notifications
- Liquidity sweep alerts
- OTE zone entry alerts
- Configurable alert frequency and types
---
## HOW TO USE THIS INDICATOR
### Basic Setup
1. Add the indicator to your chart (works on all timeframes, though 5M-1H recommended for intraday)
2. Enable the features you want to use via Master Controls
3. Adjust colors and transparency to match your chart preferences
4. Configure alert preferences if using notifications
### Trading Workflow
**Step 1: Identify the Session**
- Determine which trading session is active or approaching
- Note session highs/lows as potential liquidity targets
- Be especially alert during session overlaps
**Step 2: Watch for Liquidity Sweeps**
- Monitor external liquidity lines (swing highs/lows)
- When price sweeps liquidity, anticipate a potential reversal
- Stronger sweeps (close breaks + full retraces) are more significant
**Step 3: Wait for OTE Retracement**
- After a sweep, wait for price to retrace into the OTE zone (0.618-0.786)
- Bullish OTE after sellside sweep = potential long
- Bearish OTE after buyside sweep = potential short
**Step 4: Use Internal Liquidity as Targets**
- Look for internal liquidity in the direction of your trade
- These serve as initial profit targets
- External liquidity serves as extended targets
**Step 5: Manage Confirmation Settings**
- For live trading, use confirmed signals (2+ confirmation bars)
- For backtesting or analysis, you may use real-time signals
- Note that confirmed signals appear with "C" marking
### Example Trade Scenarios
**Bullish Setup:**
1. London session opens (increased volume)
2. Price sweeps sellside liquidity below Asian low
3. Price retraces into bullish OTE zone (0.618-0.786 of the sweep move)
4. Target internal buyside liquidity, then external buyside liquidity
**Bearish Setup:**
1. NY session overlap with London (peak liquidity)
2. Price sweeps buyside liquidity above recent high
3. Price retraces into bearish OTE zone
4. Target internal sellside liquidity, then session lows
---
## BEST PRACTICES
### What This Indicator Does Well
✓ Identifies high-probability institutional trading zones
✓ Provides clear visual roadmap of likely price targets
✓ Reduces chart clutter with configurable history limits
✓ Works across multiple timeframes and instruments
✓ Minimizes repainting with confirmation settings
### What This Indicator Doesn't Do
✗ Does not provide entry/exit arrows (intentional - requires trader discretion)
✗ Does not guarantee winning trades (no indicator does)
✗ Does not work in isolation (combine with price action/market context)
✗ Does not replace risk management (always use stop losses)
### Recommended Complementary Analysis
- Price action patterns (engulfing candles, pinbars at OTE zones)
- Volume profile or footprint charts for order flow confirmation
- Higher timeframe trend context (don't fade strong trends)
- Economic calendar awareness (avoid major news events)
---
## TECHNICAL NOTES
### Performance Optimization
- Uses max_bars_back limitation to reduce memory usage
- Automatic cleanup of old zones to prevent slowdown
- Efficient array management with configurable display limits
- Suitable for both intraday and swing trading timeframes
### Timeframe Recommendations
- **1-5 Minute:** Scalping with tight internal liquidity targets
- **15-30 Minute:** Intraday trading with session-based setups
- **1-4 Hour:** Swing trading with multi-session analysis
- **Daily:** Position trading using weekly liquidity levels
### Instrument Compatibility
Works on all liquid instruments:
- Forex pairs (optimal due to clear sessions)
- Stock index futures (ES, NQ, etc.)
- Cryptocurrency (24/7 markets - use custom session times)
- Individual stocks (less pronounced session effects)
---
## EDUCATIONAL RESOURCES
To better understand the concepts used in this indicator:
**Liquidity Concepts:**
- Study institutional order flow and stop loss hunting
- Learn about market microstructure and liquidity provision
- Understand the difference between retail and institutional trading
**Fibonacci/OTE:**
- Research Fibonacci retracements in trending markets
- Study the mathematical significance of the golden ratio (0.618)
- Practice identifying retracement entries on historical charts
**Session Trading:**
- Analyze volume profiles during different forex sessions
- Study typical price behavior during session overlaps
- Understand timezone conversions for your local trading hours
---
## VERSION HISTORY & UPDATES
This script represents a complete integration of multiple smart money concepts into a single, cohesive tool. Future updates will be published using the Update feature rather than creating separate scripts for minor variations.
---
## DISCLAIMER
This indicator is for educational and informational purposes only. It does not constitute financial advice or trading recommendations. All trading involves risk, and past performance does not guarantee future results. Always practice proper risk management and never risk more than you can afford to lose.
The concepts presented here (liquidity sweeps, OTE zones, session analysis) are widely discussed trading theories. This indicator is an interpretation and visualization of these concepts, not a guarantee of their effectiveness.
---
## SETTINGS SUMMARY
**Master Controls:** Enable/disable each major feature independently
**Repainting Controls:** Adjust confirmation requirements for signals
**Trading Sessions:** Customize session times, colors, and display options
**External Liquidity:** Configure detection sensitivity and visual styling
**Internal Liquidity:** Adjust lookback periods and threshold sensitivity
**OTE Zones:** Select which Fibonacci levels to display and entry requirements
**Alerts:** Configure notifications for sessions, sweeps, and entries
---
## SUPPORT & FEEDBACK
If you find this indicator helpful, please leave a like and comment with your feedback. For questions about specific settings or concepts, refer to the tooltips in the indicator settings panel - each parameter includes a detailed explanation.
Remember: The best indicator is the one you understand and can apply consistently within your trading plan. Take time to practice with this tool on demo accounts before risking real capital.
52SIGNAL RECIPE Bid/Ask Intensity Monitor═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══
◆ Overview
52SIGNAL RECIPE Bid/Ask Intensity Monitor is a technical indicator that visualizes the balance of buying and selling forces in the market in real-time. Based on candle structure, this indicator calculates the relative strength of buying and selling pressure, displaying it through an intuitive color gradient gauge that allows traders to instantly grasp short-term market psychology and trading activity.
─────────────────────────────────────
◆ Key Features
• Intuitive Visualization: Instantly recognize buy/sell ratios through color gradient gauges
• Real-time Force Balance: Accurately display the buy/sell force ratio as a percentage in the current candle
• Candle Structure Analysis: Interpret market participant behavior through relationships between high, low, and close prices
• Chart Overlay: Displayed on the chart to observe changes in force balance alongside price movements
• Color Psychology: Provides intuitive psychological understanding through blue series (buy) and red series (sell) colors
─────────────────────────────────────
◆ Technical Foundation
■ Buy/Sell Ratio Calculation
• Basic Principle: Measure the relative strength of buyers and sellers by analyzing candle structure
• Buy Ratio Calculation: (Close - Low) ÷ (High - Low)
• Sell Ratio Calculation: 1 - Buy Ratio
• Interpretation Logic: The closer the closing price is to the high, the stronger the buying force; the closer to the low, the stronger the selling force
■ Visualization Mechanism
• Gradient Color Map: Express buy/sell intensity through 12-level color gradients
• Buy Color Range: Gradual change from light sky blue (#8be2ff) to deep navy blue (#103c60)
• Sell Color Range: Gradual change from light pink (#f65575) to deep burgundy (#3d101a)
• Gauge Structure: Vertical table positioned in the middle right of the chart for enhanced visual focus
─────────────────────────────────────
◆ Practical Applications
■ Market Psychology Identification
• Strong Buying Pressure Signals:
▶ When buy ratio is displayed as 70% or higher
▶ When the gauge is filled with bright blue shades
• Strong Selling Pressure Signals:
▶ When sell ratio is displayed as 70% or higher
▶ When the gauge is filled with bright red shades
• Force Balance State:
▶ When buy/sell ratio is in the 40-60% range
▶ When the color distribution in the gauge is even
■ Trading Strategy Application
• Trend Confirmation Strategy:
▶ Consecutive high buy ratios (70% or more) signal uptrend confirmation
▶ Consecutive high sell ratios (70% or more) signal downtrend confirmation
• Reversal Detection Strategy:
▶ Decreasing sell ratio during a downtrend suggests potential rebound
▶ Decreasing buy ratio during an uptrend suggests potential correction
• Volatility Breakout Strategy:
▶ Rapid changes in buy/sell ratio from a balanced state (50%) provide breakout signals
▶ Dramatic shifts in the opposite direction after extreme ratios signal trend reversals
─────────────────────────────────────
◆ Advanced Setting Options
■ Gauge Settings
• Gauge Width: Default value 15 (can be adjusted narrower or wider)
• Position Adjustment: Can be positioned at various locations on the chart (default is middle right)
• Border Thickness: Adjust border thickness for gauge visibility (default is 4)
■ Color Customization
• Buy Gradient: Color range can be modified according to personal preference
• Sell Gradient: Color range can be modified according to personal preference
• Transparency Settings: Optimize chart readability by adjusting background color transparency
■ Display Frequency Settings
• Update Cycle: Can be set to update every bar or at specific intervals
• History Length: Set display range for historical data
─────────────────────────────────────
◆ Synergy with Other Indicators
• Volume Profile: Analyze the Bid/Ask Intensity Monitor together with volume distribution to confirm buying/selling pressure at key price levels
• RSI: Improve signal reliability by checking extreme values of the Bid/Ask Intensity Monitor alongside RSI's overbought/oversold levels
• Moving Averages: Observe changes in the Bid/Ask Intensity Monitor when price is near key moving averages to assess support/resistance strength
• Bollinger Bands: Observe the Bid/Ask Intensity Monitor's reaction at band boundaries to evaluate potential reversals or trend continuation
─────────────────────────────────────
◆ Conclusion
52SIGNAL RECIPE Bid/Ask Intensity Monitor is a powerful tool that visualizes market participants' psychology and behavior in real-time based on candle structure. Through intuitive color gradients and percentage displays, it allows for immediate understanding of the balance between buying and selling forces, greatly aiding in predicting short-term market direction and momentum. When used in conjunction with other technical indicators, it provides a comprehensive understanding of market conditions, contributing to more accurate entry and exit timing decisions. This indicator, particularly useful in scalping and short-term trading, will enhance the chart analysis capabilities of all traders.
─────────────────────────────────────
※ Disclaimer: Past performance does not guarantee future results. Always use appropriate risk management strategies.
═══ 52SIGNAL RECIPE Bid/Ask Intensity Monitor ═══
◆ 개요
52SIGNAL RECIPE Bid/Ask Intensity Monitor는 실시간으로 시장의 매수/매도 세력 균형을 시각화하는 기술적 지표입니다. 이 지표는 캔들 구조를 기반으로 매수와 매도 압력의 상대적 강도를 계산하고, 직관적인 그라데이션 색상 게이지를 통해 표시함으로써 시장 참여자들의 단기 심리와 거래 활동을 한눈에 파악할 수 있게 합니다.
─────────────────────────────────────
◆ 주요 특징
• 직관적인 시각화: 매수/매도 비율을 색상 그라데이션 게이지로 즉각적으로 인식
• 실시간 세력 균형: 현재 봉에서의 매수/매도 세력 비율을 백분율로 정확히 표시
• 캔들 구조 기반 분석: 고가, 저가, 종가의 관계를 통해 시장 참여자 행동 해석
• 차트 오버레이: 차트 위에 표시되어 가격 움직임과 함께 세력 균형 변화 관찰 가능
• 색상 심리학 활용: 파란색 계열(매수)과 붉은색 계열(매도)로 직관적인 심리적 이해 제공
─────────────────────────────────────
◆ 기술적 기반
■ 매수/매도 비율 계산
• 기본 원리: 캔들의 구조를 분석하여 매수자와 매도자의 상대적 강도 측정
• 매수 비율 계산: (종가 - 저가) ÷ (고가 - 저가)
• 매도 비율 계산: 1 - 매수 비율
• 해석 논리: 종가가 고가에 가까울수록 매수 세력이 강하고, 저가에 가까울수록 매도 세력이 강함
■ 시각화 메커니즘
• 그라데이션 컬러 맵: 12단계 색상 그라데이션으로 매수/매도 강도 표현
• 매수 색상 범위: 밝은 하늘색(#8be2ff)에서 짙은 남색(#103c60)까지 점진적 변화
• 매도 색상 범위: 밝은 분홍색(#f65575)에서 짙은 적갈색(#3d101a)까지 점진적 변화
• 게이지 구조: 세로형 테이블로 우측 중앙에 배치되어 시각적 주목도 향상
─────────────────────────────────────
◆ 실용적 응용
■ 시장 심리 파악
• 강한 매수 압력 신호:
▶ 매수 비율이 70% 이상으로 표시될 때
▶ 게이지가 밝은 청색 계열로 채워질 때
• 강한 매도 압력 신호:
▶ 매도 비율이 70% 이상으로 표시될 때
▶ 게이지가 밝은 적색 계열로 채워질 때
• 세력 균형 상태:
▶ 매수/매도 비율이 40-60% 범위에 있을 때
▶ 게이지의 색상 분포가 균등할 때
■ 트레이딩 전략 적용
• 추세 확인 전략:
▶ 연속적인 높은 매수 비율(70% 이상)은 상승 추세 확인 신호
▶ 연속적인 높은 매도 비율(70% 이상)은 하락 추세 확인 신호
• 반전 탐색 전략:
▶ 하락 추세 중 매도 비율 감소는 반등 가능성 시사
▶ 상승 추세 중 매수 비율 감소는 조정 가능성 시사
• 변동성 돌파 전략:
▶ 균형 상태(50%)에서 급격한 매수/매도 비율 변화는 돌파 신호 제공
▶ 극단적 비율 후 반대 방향으로의 급격한 변화는 추세 전환 신호
─────────────────────────────────────
◆ 고급 설정 옵션
■ 게이지 설정
• 게이지 너비: 기본값 15 (좁게 또는 넓게 조정 가능)
• 위치 조정: 차트의 다양한 위치에 배치 가능 (우측 중앙 기본값)
• 테두리 두께: 게이지 가시성을 위한 테두리 굵기 조절 (기본값 4)
■ 색상 커스터마이징
• 매수 그라데이션: 개인 선호에 따라 색상 범위 수정 가능
• 매도 그라데이션: 개인 선호에 따라 색상 범위 수정 가능
• 투명도 설정: 배경색 투명도 조절로 차트 가독성 최적화
■ 표시 빈도 설정
• 업데이트 주기: 모든 봉마다 또는 특정 간격으로 업데이트 설정 가능
• 히스토리 길이: 과거 데이터에 대한 표시 범위 설정
─────────────────────────────────────
◆ 다른 지표와의 시너지
• 볼륨 프로파일: Bid/Ask Intensity Monitor와 볼륨 분포를 함께 분석하여 주요 가격대의 매수/매도 압력 확인
• RSI: Bid/Ask Intensity Monitor의 극단치와 RSI의 과매수/과매도 수준을 함께 확인하여 신호 신뢰도 향상
• 이동평균선: 가격이 주요 이동평균선 근처에서 Bid/Ask Intensity Monitor 변화를 관찰하여 지지/저항 강도 판단
• 볼린저 밴드: 밴드 경계에서의 Bid/Ask Intensity Monitor 반응을 관찰하여 반전 또는 추세 지속 가능성 평가
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◆ 결론
52SIGNAL RECIPE Bid/Ask Intensity Monitor는 캔들 구조를 기반으로 시장 참여자들의 심리와 행동을 실시간으로 시각화하는 강력한 도구입니다. 직관적인 색상 그라데이션과 백분율 표시를 통해 매수/매도 세력의 균형을 즉각적으로 파악할 수 있어, 시장의 단기적 방향성과 모멘텀을 예측하는 데 큰 도움이 됩니다. 다른 기술적 지표와 함께 사용하면 시장 상황에 대한 종합적인 이해를 얻을 수 있으며, 이는 더 정확한 진입 및 퇴출 타이밍을 결정하는 데 기여합니다. 특히 스캘핑과 단기 트레이딩에서 유용하게 활용될 수 있는 이 지표는 모든 트레이더의 차트 분석 능력을 한 단계 향상시켜 줄 것입니다.
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※ 면책 조항: 과거 성과가 미래 결과를 보장하지 않습니다. 항상 적절한 리스크 관리 전략을 사용하세요.
Multi Timeframe 8x MA Support Resistance Zones [SiDec]Multi-Timeframe Moving Average Support/Resistance Zones: The Ultimate Trading Power Tool
Indicator Overview
Get ready to elevate your trading game with the Multi-Timeframe Moving Average Support/Resistance Zones indicator. This advanced tool is engineered for traders who want to maximize efficiency without constantly switching between timeframes. By dynamically plotting support and resistance zones using the 21 SMA and 21 EMA, it reveals crucial price levels where trends may pause, reverse, or accelerate—giving you actionable insights in a fraction of the time.
Imagine seeing all the relevant timeframe zones on one chart, without ever needing to flip between timeframes—saving you time and allowing you to focus on what really matters.
Core Features
Dynamic Zones That Adjust in Real-Time:
The area between the 21 EMA and 21 SMA is shaded, forming a "zone" on your chart. This dynamic zone adjusts live as price moves, keeping you in sync with current market behavior across multiple timeframes.
By showing these zones across all your selected timeframes, you can view everything you need at a glance—no time wasted jumping between charts.
All Timeframes, One View:
With the ability to view multiple timeframe zones simultaneously (from 5-minute to Monthly), this tool helps you spot key levels quickly without switching between timeframes. You’ll see how price interacts with these levels across different timeframes without ever having to change charts.
Higher timeframes show broader, more significant zones—giving you the market's big picture—while intraday zones help you fine-tune your entries.
Customisable Like Never Before:
Toggle Timeframes: Only activate the timeframes you care about—no distractions, just pure focus.
Color Your World: Assign different colors to each timeframe for instant visual cues (e.g., blue for Daily, gold for Weekly). This makes it easy to identify key zones across all timeframes at a glance.
Why You Need This Tool
Instant Trend Confirmation: Track how price interacts with multiple timeframe zones to confirm bullish or bearish momentum in real-time.
Confluence = High Confidence: When zones from multiple timeframes overlap, you’ve found a high-probability reversal area. This is where the market is likely to turn, and where your edge lies.
Efficiency at Its Best: No more switching between timeframes—everything you need is in one place, giving you more time to trade and less time spent on analysis.
Configuration Instructions
1.) Timeframe Selection:
Choose which timeframes to display using the Timeframe Selection panel.
Intraday Focus: 5m, 15m, 1H.
Swing/Long-Term Focus: 4H, 12H, Daily, Weekly, Monthly.
Color Coding: Assign a distinct color to each timeframe for instant identification—like having a personal color-coded trading roadmap.
2.) MA Settings:
MA Types:
21 EMA: Perfect for capturing short-term trends and fast price action.
21 SMA: The smooth operator for spotting longer-term trends with more consistency.
Recommended Periods: The 21-period MA works wonders for trend detection across various timeframes. You can also integrate Fibonacci-based MAs (e.g., 55, 233) for enhanced confluence.
3.) Visual Tweaks:
Opacity: Adjust the zone transparency (80-90% opacity keeps it visible yet non-intrusive).
Zone Extensions: Customize how far zones extend backward and forward, capturing the full impact of support/resistance levels.
Labels: Show real-time MA values and timeframe-specific details for further clarity.
Trading Strategies That Pack a Punch
1.) Trend Confirmation:
Uptrend: Price staying above the 21 EMA and 21 SMA suggests a bullish trend.
Downtrend: Price holding below these MAs signals a bearish market.
2.) Zone-Based Reversals:
Entry: Look for price to retrace to a higher timeframe support zone (e.g., Daily 21 SMA) with confirmation from oversold/overbought indicators like RSI.
Exit: Time to sell when price breaks through a critical zone, like the 4H 21 EMA.
3.) Confluence Trading:
Combine the zones with other indicators to amplify your trade setups:
Fibonacci Levels: When a 61.8% retracement lines up with an MA zone, you’ve found a high-confluence area.
Volume Profile: High-volume nodes near key zones strengthen their significance.
Best Practices for Maximum Profit
Focus on Higher Timeframes: Weekly and Monthly zones carry more weight, making them more significant in decision-making.
Avoid Clutter: If you’re trading higher timeframes, disable intraday timeframes like 5m and 15m to keep your chart clear and focused.
Risk Management: Zones are probabilities, not guarantees. Always use stop-loss orders to protect your trades.
Example of a Winning Setup
Scenario:
Price retraces to the 1H 21 EMA zone.
The Daily 21 SMA zone is nearby—talk about confluence!
RSI shows oversold conditions, indicating a potential reversal.
Action:
Enter long on a bullish candlestick pattern (e.g., bullish engulfing).
Set your stop-loss just below the Daily 21 SMA zone.
Target the next higher timeframe resistance.
Performance Considerations
Repainting Risk: Zones might slightly adjust with the formation of new bars, but the changes will typically be minimal.
Enhance with Oscillators: Use momentum indicators like MACD or Stochastic and volume analysis for even more confirmation.
Conclusion
The Multi-Timeframe Moving Average Support/Resistance Zones indicator isn’t just a tool—it’s a game-changer. With the ability to view all relevant timeframe zones on one chart, you can make decisions faster, spot high-confluence areas, and trade with greater precision. The time you save by not switching between timeframes can make all the difference in your trading success.
Maximise your trading edge—harness the power of multi-timeframe analysis, gain more time to trade, and dominate the market like never before. 📊🔍
Futures Full FS ScreenerFull FS Screener
This indicator allows traders to have a view of multiple pairs and timeframes buy/sell signals and specific information of parameters, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
7. The trend is determined according to these parameters and their different values, which might indicate that we are in a bullish or bearish trend. The trend has a max positive (bullish) value of 6 and a max negative (bearish) value of -6.
Full Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). Moreover, allows traders to have handy all information of the Future FS Indicator that might be analyzed further for each pair. It has the following characteristics:
• It can be placed anywhere on the screen through the main menu of the indicator.
• It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
• It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
• The screener shows the pairs, which can be changed within the menus.
• The screener shows the Long, Short, Strong Long and Strong Short Signals in its las column but previously, it shows the parameters that determined the possible position. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD calculated internally, are also summarized in the screener.
For analyzing a specific pair, refer to the TwV Futures Indicator – FS, which is other indicator that might be on my TradingView Profile and that was used as base for the screener.
Futures Simple FS ScreenerSimple FS Screener
This indicator allows traders to have a simple view of multiple pairs and timeframe buy/sell signals, based on the Futures FS Indicator also developed by me.
Futures FS Indicator Fundamentals
1. Exponential Moving Average (EMAs): The base indicator is composed of moving averages of 5, 10, 11, 13, 36 and 55 exponential periods.
2. Squeeze Momentum: This indicator allows the signals to go with the trend and not against it.
3. VPVR (Volume Profile Visible Range): It allows to determine the Point of Control (POC) which is the node with the highest volume profile. This can be used as an important retest point or to calculate potential support and resistance.
4. ADX (Average Directional Index): The ADX helps the indicator to estimate the strength of the movement, always considering the DI+ and DI- to not go against the trend.
5. RSI (Relative Strength Index): The RSI helps measuring the speed and magnitude of the recent price changes to evaluate overvalued or undervalued conditions in the price of that security. The indicator considers RSI 5, 13 and 50 as bottom and top, respectively.
6. MACD (Moving average convergence divergence): The MACD is a trend-following momentum indicator that shows the relationship between moving averages. The indicator uses moving averages of 5, 8 and 21).
Simple Screener Panel
This panel allows the trader to monitor multiple pairs at a single screen, giving an immediate vision of possible entries and exits (Long/Short/Strong Long/Strong Short Signals). It has the following characteristics:
It can be placed anywhere on the screen through the main menu of the indicator.
It can be combined with the same indicator multiple times, as per screener is limited to show 40 pairs, you can select the number of panels being added to adjust position one next to each other.
It strengthens colors when a pair has changed its signals in order to the trader to know immediate changes and then do the follow up
The screener shows the pairs (which can be changed within the menus) and as part of being the simple screener it shows the Long, Short, Strong Long and Strong Short Signals. Therefore, the EMAs, SQZ, ADX, VPVR, RSI and MACD are calculated internally and its data will not be shown.
For viewing all parameters, refer to the Futures FS Full Screener or the TwV Futures Indicator – FS, which are other indicators that might be on my TradingView Profile
Promethus █ OVERVIEW
HPT Master Suite is an all-in-one institutional trading toolkit combining multi-timeframe analysis, Smart Money Concepts (SMC), and volume-based detection systems.
█ FEATURES
MTF DASHBOARD
- Real-time analysis across 9 timeframes (1M to Monthly)
- MA alignment status with trend detection
- RSI and squeeze monitoring
- Macro data row (VIX, DXY, 10Y, OIL)
- 5/20 and 9/21 cross confluence tracking
SMART MONEY CONCEPTS
- Volumetric Order Blocks with engagement detection
- Fair Value Gaps with 50% CE line
- Liquidity sweep detection
- Unicorn Model (FVG + OB overlap)
VOLUME ANALYSIS
- Dynamic Volume Profile (POC, VAH, VAL)
- High/Low Volume Nodes
- Naked POC tracking
- Absorption detection with strength gauge
INSTITUTIONAL TOOLS
- 55 SMA institutional support level
- Significant wick levels
- Session boxes (Asia, London, NYSE, Lunch, PM)
- SMT Divergence detection
SIGNALS
- Buy/Sell signals with adjustable sensitivity
- Golden/Death Cross alerts
- OB engagement alerts
█ USAGE
Enable features as needed - all components are modular and can be toggled independently. Start with the dashboard and add SMC/volume tools based on your trading style.
█ SETTINGS
Most detection parameters use simplified controls (Low/Medium/High) for ease of use while maintaining effectiveness.
█ NOTES
Works best on futures (NQ, ES) and indices. Dashboard updates in real-time across all timeframes.
For TradingView I am not redirecting, and or soliciting any service. If your interesting in learning more and how I trade with a 98% WR in options and above 80% in futures the links to my FREE site's are listed in my profile.
High Volume Nodes HVNWhat Are High Volume Nodes (HVNs)?
In a volume profile or chips distribution indicator, a high volume node is a price level where a large amount of traded volume has accumulated. This means a lot of “chips” (trading activity) took place at that price.
In simple terms:
HVNs mark prices where buyers and sellers agreed the most, creating heavy trading congestion.
Why Are HVNs Important?
1. Strong Support or Resistance Zones
Because many trades occurred at an HVN, market participants often view that price as “fair value.”
Price tends to slow down, pause, or reverse at HVNs.
2. Mean Reversion Behavior
HVNs tend to act like magnets:
If price moves far away, it often returns to HVN levels to retest them.
3. Balance Areas
An HVN signals that the market spent a lot of time trading at that price, indicating consensus or balance.
How to Use HVNs in Trading
1. Identify Support/Resistance
HVNs often mark durable S/R levels.
Price frequently retests or bounces from HVNs.
2. Detect Trading Ranges
Multiple HVNs clustered together indicate balance zones or accumulation/distribution areas.
3. Target Zones
When price moves away from an HVN, it often:
revisits the HVN (mean reversion), or
moves toward the next HVN in the profile.
Settings
Timeframe (Slices) (Lookback) (Label %)
Daily (50) (80-250) (0.60)
Weekly (40) (180) (0.65)
Monthly (30) (120) (0.70)
Quarterly (25) (70) (0.75)
No financial advice, no buy/sell recommendation. Only for educational purposes
High-Res VP + Macro Auto Fib DJVolume profiling plus Fibonacci for the descrationary trader.
Volume profile: The most important tool that I know.
Fib: Gives you an idea of the moves.
Ornstein-Uhlenbeck Trend Channel [BOSWaves]Ornstein-Uhlenbeck Trend Channel - Adaptive Mean Reversion with Dynamic Equilibrium Geometry
Overview
The Ornstein-Uhlenbeck Trend Channel introduces an advanced equilibrium-mapping framework that blends statistical mean reversion with adaptive trend geometry. Traditional channels and regression bands react linearly to volatility, often failing to capture the natural rhythm of price equilibrium. This model evolves that concept through a dynamic reversion engine, where equilibrium adapts continuously to volatility, trend slope, and structural bias - forming a living channel that bends, expands, and contracts in real time.
The result is a smooth, equilibrium-driven representation of market balance - not just trend direction. Instead of static bands or abrupt slope shifts, traders see fluid, volatility-aware motion that mirrors the natural pull-and-release dynamic of market behavior. Each channel visualizes the probabilistic boundaries of fair value, showing where price tends to revert and where it accelerates away from its statistical mean.
Unlike conventional envelopes or Bollinger-type constructs, the Ornstein-Uhlenbeck framework is volatility-reactive and equilibrium-sensitive, providing traders with a contextual map of where price is likely to stabilize, extend, or exhaust.
Theoretical Foundation
The Ornstein-Uhlenbeck Trend Channel is inspired by stochastic mean-reversion processes - mathematical models used to describe systems that oscillate around a drifting equilibrium. While linear regression channels assume constant variance, financial markets operate under variable volatility and shifting equilibrium points. The OU process accounts for this by treating price as a mean-seeking motion governed by volatility and trend persistence.
At its core are three interacting components:
Equilibrium Mean (μ) : Represents the evolving balance point of price, adjusting to directional bias and volatility.
Reversion Rate (θ) : Defines how strongly price is pulled back toward equilibrium after deviation, capturing the self-correcting nature of market structure.
Volatility Coefficient (σ) : Controls how far and how quickly price can diverge from equilibrium before mean reversion pressure increases.
By embedding this stochastic model inside a volatility-adjusted framework, the system accurately scales across different markets and conditions - maintaining meaningful equilibrium geometry across crypto, forex, indices, or commodities. This design gives traders a mathematically grounded yet visually intuitive interpretation of dynamic balance in live market motion.
How It Works
The Ornstein-Uhlenbeck Trend Channel is constructed through a structured multi-stage process that merges stochastic logic with volatility mechanics:
Equilibrium Estimation Core : The indicator begins by identifying the evolving mean using adaptive smoothing influenced by trend direction and volatility. This becomes the live centerline - the statistical anchor around which price naturally oscillates.
Volatility Normalization Layer : ATR or rolling deviation is used to calculate volatility intensity. The output scales the channel width dynamically, ensuring that boundaries reflect current variance rather than static thresholds.
Directional Bias Engine : EMA slope and trend confirmation logic determine whether equilibrium should tilt upward or downward. This creates asymmetrical channel motion that bends with the prevailing trend rather than staying horizontal.
Channel Boundary Construction : Upper and lower bands are plotted at volatility-proportional distances from the mean. These envelopes form the “statistical pressure zones” that indicate where mean reversion or acceleration may occur.
Signal and Lifecycle Control : Channel breaches, mean crossovers, and slope flips mark statistically significant events - exhaustion, continuation, or rebalancing. Older equilibrium zones gradually fade, ensuring a clear, context-aware visual field.
Through these layers, the channel forms a continuously updating equilibrium corridor that adapts in real time - breathing with the market’s volatility and rhythm.
Interpretation
The Ornstein-Uhlenbeck Trend Channel reframes how traders interpret balance and momentum. Instead of viewing price as directional movement alone, it visualizes the constant tension between trending force and equilibrium pull.
Uptrend Phases : The equilibrium mean tilts upward, with price oscillating around or slightly above the midline. Upper band touches signal momentum extension; lower touches reflect healthy reversion.
Downtrend Phases : The mean slopes downward, with upper-band interactions marking resistance zones and lower bands acting as reversion boundaries.
Equilibrium Transitions : Flat mean sections indicate balance or distribution phases. Breaks from these neutral zones often precede directional expansion.
Overextension Events : When price closes beyond an outer boundary, it marks statistically significant disequilibrium - an early warning of exhaustion or volatility reset.
Visually, the OU channel translates volatility and equilibrium into structured geometry, giving traders a statistical lens on trend quality, reversion probability, and volatility stress points.
Strategy Integration
The Ornstein-Uhlenbeck Trend Channel integrates seamlessly into both mean-reversion and trend-continuation systems:
Trend Alignment : Use mean slope direction to confirm higher-timeframe bias before entering continuation setups.
Reversion Entries : Target rejections from outer bands when supported by volume or divergence, capturing snapbacks toward equilibrium.
Volatility Breakout Mapping : Monitor boundary expansions to identify transition from compression to expansion phases.
Liquidity Zone Confirmation : Combine with BOS or order-block indicators to validate structural zones against equilibrium positioning.
Momentum Filtering : Align with oscillators or volume profiles to isolate equilibrium-based pullbacks with statistical context.
Technical Implementation Details
Core Engine : Stochastic Ornstein-Uhlenbeck process for continuous mean recalibration.
Volatility Framework : ATR- and deviation-based scaling for dynamic channel expansion.
Directional Logic : EMA-slope driven bias for adaptive mean tilt.
Channel Composition : Independent upper and lower envelopes with smoothing and transparency control.
Signal Structure : Alerts for mean crossovers and boundary breaches.
Performance Profile : Lightweight, multi-timeframe compatible implementation optimized for real-time responsiveness.
Optimal Application Parameters
Timeframe Guidance:
1 - 5 min : Reactive equilibrium tracking for short-term scalping and microstructure analysis.
15 - 60 min : Medium-range setups for volatility-phase transitions and intraday structure.
4H - Daily : Macro equilibrium mapping for identifying exhaustion, distribution, or reaccumulation zones.
Suggested Configuration:
Mean Length : 20 - 50
Volatility Multiplier : 1.5× - 2.5×
Reversion Sensitivity : 0.4 - 0.8
Smoothing : 2 - 5
Parameter tuning should reflect asset liquidity, volatility, and desired reversion frequency.
Performance Characteristics
High Effectiveness:
Trending environments with cyclical pullbacks and volatility oscillation.
Markets exhibiting consistent equilibrium-return behavior (indices, majors, high-cap crypto).
Reduced Effectiveness:
Low-volatility consolidations with minimal variance.
Random walk markets lacking definable equilibrium anchors.
Integration Guidelines
Confluence Framework : Pair with BOSWaves structural tools or momentum oscillators for context validation.
Directional Control : Follow mean slope alignment for directional conviction before acting on channel extremes.
Risk Calibration : Use outer band violations for controlled contrarian entries or trailing stop management.
Multi-Timeframe Synergy : Derive macro equilibrium zones on higher timeframes and refine entries on lower levels.
Disclaimer
The Ornstein-Uhlenbeck Trend Channel is a professional-grade equilibrium and volatility framework. It is not predictive or profit-assured; performance depends on parameter calibration, volatility regime, and disciplined execution. BOSWaves recommends using it as part of a comprehensive analytical stack combining structure, liquidity, and momentum context.
Liquidity Heatmap Concepts [sma] Overview
Liquidity Heatmap Concepts is a sophisticated visualization tool that maps potential liquidation zones for leveraged positions across multiple timeframes. It calculates and displays where high-volume liquidations might occur at various leverage levels (25x, 50x, 100x, 150x), helping traders identify potential support/resistance zones created by cascading liquidations. Additionally, it includes a quarterly volume profile to show historical price distribution and Point of Control levels.
### Volume-Based Trigger System
Lines are only drawn when volume exceeds a threshold:
1. Calculates 14-period simple moving average of volume
2. Applies configurable multiplier (default 1.2x) to determine significance
3. Only plots liquidation levels when current volume > (Volume SMA × Multiplier)
4. This filters out low-volume noise and focuses on meaningful zones
### Visual Intensity System
The indicator uses a gradient coloring system based on relative volume:
- **Peak Volume (White)**: When current bar has maximum volume in the dataset
- Line width: 3 pixels
- Brightest color intensity
- **Above Average Volume**: Volume exceeds average but isn't peak
- Line width: 2 pixels
- Medium color intensity
- **Standard Volume**: Exceeds threshold but below average
- Line width: 1 pixel
- Base color intensity
### Line Extension & Management
- Lines extend horizontally to the right until price crosses them
- Automatic cleanup removes lines after maximum count (default 500)
- Lines persist until invalidated by price action crossing the level
- Oldest lines are removed first when limit is reached
### Quarterly Volume Profile
An optional fixed-range volume profile that:
1. **Automatic Quarter Detection**: Identifies Q1 (Jan-Mar), Q2 (Apr-Jun), Q3 (Jul-Sep), Q4 (Oct-Dec)
2. **Price Distribution Analysis**: Divides the quarter's price range into configurable rows (default 20)
3. **Volume Aggregation**: Accumulates volume at each price level throughout the quarter
4. **POC Identification**: Highlights the price level with highest volume (Point of Control)
5. **Value Area**: Shows the price range containing 70% (configurable) of total volume
6. **Profile Drawing**: At the start of each new quarter, draws the previous quarter's profile as horizontal bars
The volume profile can be positioned on either left or right side of the quarter range with adjustable width.
## Key Features
- **Multi-Leverage Display**: Toggle between 25x, 50x, 100x, and 150x leverage levels independently
- **Dual Side Tracking**: Separate visualization for long and short liquidation zones
- **Volume-Weighted Importance**: Visual intensity correlates with volume significance
- **Gradient Coloring**: Color intensity reflects relative volume magnitude
- **Smart Line Management**: Automatic cleanup prevents chart clutter
- **Historical Context**: Quarterly volume profile shows where price spent most time
- **Fully Customizable**: All colors, thresholds, and display options are adjustable
- **HD Mode**: Uses absolute volume for more precise visualization
## Parameters
### Leverage Selection
- **25x, 50x, 100x, 150x Toggles**: Enable/disable specific leverage levels
- Each level can be controlled independently
### Volume Configuration
- **Minimum Volume Multiplier** (default 1.2): Threshold above volume SMA to trigger lines
- Higher values = fewer but more significant levels
- Lower values = more levels but increased noise
### Advanced Settings
- **Maximum Lines** (default 500, range 50-500): Memory management limit
- Controls how many historical liquidation lines are maintained
### Quarterly Volume Profile
- **Show Previous Q Volume Profile** (default on): Toggle profile visibility
- **Number of Rows** (default 20, range 10-50): Price distribution granularity
- **Profile Width** (default 30%): Visual width as percentage of quarter range
- **Value Area** (default 70%): Percentage of volume for value area calculation
- **Position** (Left/Right): Profile placement relative to quarter
- **Show Values** (default off): Display POC volume label
- **Colors**: Customizable base and POC colors
### Color Customization
- **Long Colors**: Individual colors for each leverage level (25x, 50x, 100x, 150x)
- **Short Colors**: Separate color scheme for short liquidation zones
- **VP Colors**: Base color and POC highlight color for volume profile
## Interpretation
### Liquidation Clusters
- **Dense Line Areas**: Multiple overlapping liquidation levels suggest strong magnetic zones
- **High-Volume Lines**: Brighter/thicker lines indicate more significant potential liquidations
- **Line Breaks**: Price crossing multiple liquidation lines may trigger cascade effects
### Trading Applications
- **Support/Resistance**: Liquidation clusters often act as temporary support/resistance
- **Stop Hunt Zones**: Areas where price may spike to trigger liquidations before reversing
- **Momentum Acceleration**: Breaking through dense clusters can indicate strong directional moves
- **Risk Management**: Avoid placing stops directly at obvious liquidation levels
### Volume Profile Usage
- **POC (Point of Control)**: Price level with highest volume - often acts as strong support/resistance
- **Value Area**: Where most trading activity occurred - indicates fair value range
- **Profile Shape**:
- Balanced profile (bell curve) = ranging market
- Skewed profile = trending market with acceptance at extremes
- **Profile Gaps**: Low volume areas suggest price may move quickly through these zones
### Combined Analysis
- Liquidation lines near quarterly POC create extra-strong zones
- Price returning to value area from outside often finds support/resistance
- Liquidation clusters at value area edges suggest potential reversal points
## Technical Implementation
This indicator features:
- **Custom Type Structures**: Uses type definitions for organized data storage
- `BarData`: Stores OHLCV and index information
- `LiquidityBin`: Manages arrays of line objects for each leverage level
- `VolumeProfileData`: Handles profile boxes, labels, and range data
- **Dynamic Line Objects**: Creates, updates, and deletes line primitives programmatically
- **Array-Based History**: Maintains volume history for gradient calculations
- **Intelligent Cleanup**: Automatic memory management prevents performance degradation
- **Mathematical Precision**: Leverage-based liquidation formulas ensure accurate price levels
- **Quarterly Aggregation**: Efficient volume accumulation with automatic period detection
- **Box Drawing System**: Dynamic profile visualization using box primitives
## Originality Statement
This indicator presents a unique approach to liquidity visualization:
- Implements leverage-specific liquidation price calculations based on mathematical formulas
- Uses volume-weighted gradient coloring system that adapts to relative volume significance
- Combines real-time liquidation mapping with historical volume profile analysis
- Features intelligent line lifecycle management with automatic extension and cleanup
- Integrates quarterly volume profile with configurable value area and POC detection
- Employs multi-layer visual hierarchy (line width + color intensity) for information density
- Uses custom data structures to efficiently manage hundreds of line objects simultaneously
The combination of mathematical liquidation pricing, volume-based filtering, gradient visualization, and quarterly volume distribution creates a comprehensive liquidity analysis tool.
## Best Practices
- Use on liquid markets (major cryptocurrencies, forex pairs) for best accuracy
- Lower timeframes (1m-15m) for day trading and scalping
- Higher timeframes (1h-4h) for swing trading context
- Combine with volume profile to identify high-probability reversal zones
- Watch for price reactions when approaching dense liquidation clusters
- Increase volume multiplier in choppy markets to reduce noise
- Reduce maximum lines on lower timeframes to maintain performance
- Use quarterly volume profile to understand longer-term fair value
## Important Notes
- Liquidation prices are estimates based on leverage ratios
- Actual exchange liquidation prices may vary due to:
- Maintenance margin requirements
- Mark price vs last price calculations
- Individual exchange liquidation engines
- Insurance fund mechanisms
- This tool shows potential zones, not guaranteed liquidation prices
- Volume profile resets each quarter automatically
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Works on all timeframes and asset classes. Designed for crypto/forex leverage markets. For educational purposes only. Not financial advice.
Adaptive Range Scalper - KetBotAIThe Adaptive Scalper is designed to dynamically adjust entry, take-profit (TP), and stop-loss (SL) levels based on the latest market price. It combines multiple tools to provide traders with actionable insights, suitable for a range of trading styles and timeframes.
How the Indicator Works
Dynamic Levels:
- Yellow Dotted Line: Represents the entry level, following the latest price dynamically.
- Green Line: The Take Profit (TP) level, calculated as a multiple of the current price, adapts in real-time.
- Red Line: The Stop Loss (SL) level, placed below the price and also dynamically adjusts.
Bollinger Bands:
Provides context for market volatility and potential overbought/oversold zones.
Narrowing bands signal consolidation, while expanding bands indicate increased volatility.
Buy and Sell Signals:
Buy Signal: Triggered when the price crosses above the lower Bollinger Band.
Sell Signal: Triggered when the price crosses below the upper Bollinger Band.
These signals help traders time entries and exits based on momentum shifts.
Risk/Reward Analysis:
Visual shading shows the favorable risk/reward zone between the stop loss and take profit levels.
Timeframe Suggestions
Short-Term Traders (Scalping):
Use on 5-minute to 15-minute charts.
Focus on high-volatility periods for quick entries and exits.
Intraday Traders:
Ideal for 30-minute to 1-hour charts.
Provides more stable signals and less noise.
Swing Traders:
Best suited for 4-hour or daily charts.
Captures broader trends with fewer signals, allowing for larger moves.
Tool Combination
Volume Profile:
Combine with volume-based tools to confirm key support/resistance zones around TP and SL levels.
Trend Indicators:
Use with Moving Averages (e.g., 20-period or 50-period) to identify the broader trend direction.
Example: Only take buy signals in an uptrend and sell signals in a downtrend.
Momentum Oscillators:
Pair with tools like RSI or MACD to avoid entering overbought/oversold conditions.
Support/Resistance Lines:
Manually mark significant levels to confirm alignment with the indicator’s TP and SL zones.
Useful Advice for Traders
Risk Management:
- Always assess the risk/reward ratio; aim for at least 1:2 (risking 1 to gain 2).
- Adjust the multiplier to match your trading style (e.g., higher multiplier for swing trades, lower for scalping).
Avoid Overtrading:
Use the indicator in conjunction with clear rules to avoid false signals during low-volatility periods.
Monitor market volatility:
Pay attention to narrowing Bollinger Bands, which signal consolidations. Avoid trading until a breakout occurs.
Test on Demo Accounts:
Practice using the indicator on a demo account to understand its behavior across different assets and timeframes.
Focus on High-Liquidity Markets:
For the best results, trade highly liquid instruments like major currency pairs, gold, or stock indices.
Summary
The Adaptive Range Indicator dynamically adjusts to market conditions, offering clear entry and exit levels. By combining it with Bollinger Bands and other tools, traders can better navigate market trends and avoid noise. It’s versatile across multiple timeframes and assets, making it a valuable addition to any trader’s toolkit.
Normal Distribution CurveThis Normal Distribution Curve is designed to overlay a simple normal distribution curve on top of any TradingView indicator. This curve represents a probability distribution for a given dataset and can be used to gain insights into the likelihood of various data levels occurring within a specified range, providing traders and investors with a clear visualization of the distribution of values within a specific dataset. With the only inputs being the variable source and plot colour, I think this is by far the simplest and most intuitive iteration of any statistical analysis based indicator I've seen here!
Traders can quickly assess how data clusters around the mean in a bell curve and easily see the percentile frequency of the data; or perhaps with both and upper and lower peaks identify likely periods of upcoming volatility or mean reversion. Facilitating the identification of outliers was my main purpose when creating this tool, I believed fixed values for upper/lower bounds within most indicators are too static and do not dynamically fit the vastly different movements of all assets and timeframes - and being able to easily understand the spread of information simplifies the process of identifying key regions to take action.
The curve's tails, representing the extreme percentiles, can help identify outliers and potential areas of price reversal or trend acceleration. For example using the RSI which typically has static levels of 70 and 30, which will be breached considerably more on a less liquid or more volatile asset and therefore reduce the actionable effectiveness of the indicator, likewise for an asset with little to no directional volatility failing to ever reach this overbought/oversold areas. It makes considerably more sense to look for the top/bottom 5% or 10% levels of outlying data which are automatically calculated with this indicator, and may be a noticeable distance from the 70 and 30 values, as regions to be observing for your investing.
This normal distribution curve employs percentile linear interpolation to calculate the distribution. This interpolation technique considers the nearest data points and calculates the price values between them. This process ensures a smooth curve that accurately represents the probability distribution, even for percentiles not directly present in the original dataset; and applicable to any asset regardless of timeframe. The lookback period is set to a value of 5000 which should ensure ample data is taken into calculation and consideration without surpassing any TradingView constraints and limitations, for datasets smaller than this the indicator will adjust the length to just include all data. The labels providing the percentile and average levels can also be removed in the style tab if preferred.
Additionally, as an unplanned benefit is its applicability to the underlying price data as well as any derived indicators. Turning it into something comparable to a volume profile indicator but based on the time an assets price was within a specific range as opposed to the volume. This can therefore be used as a tool for identifying potential support and resistance zones, as well as areas that mark market inefficiencies as price rapidly accelerated through. This may then give a cleaner outlook as it eliminates the potential drawbacks of volume based profiles that maybe don't collate all exchange data or are misrepresented due to large unforeseen increases/decreases underlying capital inflows/outflows.
Thanks to @ALifeToMake, @Bjorgum, vgladkov on stackoverflow (and possibly some chatGPT!) for all the assistance in bringing this indicator to life. I really hope every user can find some use from this and help bring a unique and data driven perspective to their decision making. And make sure to please share any original implementaions of this tool too! If you've managed to apply this to the average price change once you've entered your position to better manage your trade management, or maybe overlaying on an implied volatility indicator to identify potential options arbitrage opportunities; let me know! And of course if anyone has any issues, questions, queries or requests please feel free to reach out! Thanks and enjoy.
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making.
For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger.
While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant.
This script and its parameters was built for ES futures 15 min chart in mind.
This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes:
1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33
2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks)
Add this script to your alerts to no longer miss these set ups.
Bar Bodies [vnhilton]Note: Go to "Chart Settings" & hide "Body" & "Borders". Also uncheck "Labels on price scale" & "Values in status line" as they're not needed.
This script plots candlestick bodies with the same thickness as the wicks (similar to the bar chart, but without the horizontal lines to represent the open & close). To do this, it plots an invisible candlestick body with an invisible candlestick border from the high to the close/open for a green/red candle respectively, & uses the low wick as the candlestick body itself by plotting it from the low price to the open/close for a green/red candle respectively.
My personal use for this script is to use it in conjunction with TradingView's Periodic Volume Profile, in order to still see OHLC data without obstructing the candlesticks' volume profiles, as seen in the chart snapshot image above.
VPQ - Momen Medhat📊 VPQ Oscillator - Proprietary Volume Profile Intelligence
Advanced Volume Analysis Through Proprietary Mathematical Modeling
🎯 Why VPQ Is Different From Standard Volume Profile Tools
The VPQ Oscillator is not a standard Volume Profile indicator. While many indicators display volume histograms or basic POC/VAH/VAL levels, VPQ employs a proprietary mathematical framework to transform raw volume distribution data into actionable intelligence.
🔬 Core Innovations That Justify Premium Access:
1. Proprietary Volume Location Score (VLS) Algorithm
VPQ uses an original mathematical model that calculates precise price positioning relative to volume-weighted fair value. This is not a simple "above/below POC" calculation - it's a multi-factor equation that considers:
Non-linear distance weighting from Value Area boundaries
Gradient-based positioning within Value Area zones
Dynamic scaling based on range volatility
Proprietary normalization to maintain consistency across all market conditions
2. Adaptive Node Intelligence System
Unlike static Volume Profile displays, VPQ features a real-time node classification engine that:
Identifies High Volume Nodes (HVN) vs Low Volume Nodes (LVN) using advanced percentile analysis
Applies proprietary dampening coefficients (0.6x) at HVN zones to signal mean-reversion probability
Applies proprietary amplification factors (1.4x) at LVN zones to signal breakout probability
Dynamically recalculates these weightings on every bar based on current volume distribution
3. Multi-Dimensional Volume Distribution Engine
VPQ processes volume data through a custom binning algorithm that:
Distributes volume across price levels using proportional overlap calculations (not available in standard Volume Profile)
Handles intra-bar volume allocation with precision weighting
Maintains computational efficiency for real-time analysis
Scales seamlessly across any timeframe or instrument
4. Cross-Timeframe Volume Integration
Proprietary logic seamlessly merges higher timeframe institutional volume analysis into current timeframe decision-making, solving the common problem of Volume Profile desynchronization across timeframes.
5. Oscillator Normalization Technology
Original mathematical transformation that converts complex Volume Profile data into a normalized -100 to +100 scale while preserving volume distribution nuances and maintaining signal integrity across all market conditions.
💡 What You Get That Free Indicators Don't Provide
❌ Standard Volume Profile Indicators:
Static histogram displays that clutter charts
Basic POC/VAH/VAL lines without context
No signal weighting or node intelligence
Manual interpretation required
Single timeframe limitation
No actionable scoring system
✅ VPQ Oscillator:
Clean oscillator format - No chart clutter, instant visual clarity
Intelligent scoring - Single number tells you exactly where price stands
Adaptive weighting - Automatically adjusts for mean-reversion vs breakout scenarios
Multi-timeframe ready - Analyze institutional volume from any timeframe
Actionable thresholds - Built-in buy/sell zones with alert capabilities
Proprietary algorithms - Mathematical models not found in public domain
📈 Professional Trading Applications
Mean Reversion Trading
VPQ's proprietary HVN detection and dampening algorithm identifies high-probability reversal zones with precision. When VPQ reaches extremes (±70) at HVN areas, the adaptive weighting signals optimal mean-reversion entries.
Breakout Trading
The LVN amplification system highlights low-volume breakout zones where momentum is likely to accelerate. VPQ automatically increases signal strength at these critical levels.
Value-Based Position Management
Know instantly if you're entering at a discount or premium. VPQ's proprietary scoring eliminates guesswork - positive readings confirm discount entries, negative readings confirm premium exits.
Multi-Timeframe Analysis
VPQ's cross-timeframe integration allows you to maintain institutional perspective (4H, Daily) while executing on shorter timeframes (5m, 15m) - a capability requiring complex manual analysis with standard Volume Profile tools.
Divergence Detection
VPQ's oscillator format makes it easy to spot divergences between price and volume distribution - a powerful reversal signal invisible in traditional Volume Profile displays.
⚙️ Professional-Grade Configuration
Volume Profile Engine:
Timeframe selection for institutional volume perspective
Adjustable lookback period (20-2000 bars)
Configurable bin count for precision control
Value Area percentage customization
HVN/LVN threshold optimization
Display Intelligence:
Zone-based color coding (automatic or manual)
Background zone highlighting
Customizable reference lines
Professional info label with live metrics
Alert System:
Zero-cross alerts (entering discount/premium zones)
Threshold alerts (deep discount/premium signals)
Extreme level alerts (±50 zones)
Fully customizable notification settings
🎓 Understanding the VPQ Scale
+100 to +50: Extreme Discount - Price significantly below volume-weighted fair value
+50 to 0: Discount Zone - Price below fair value, favors long positions
0: Fair Value Equilibrium - Price at Point of Control
0 to -50: Premium Zone - Price above fair value, favors short positions
-50 to -100: Extreme Premium - Price significantly above volume-weighted fair value
Zone Indicators:
HVN: High Volume Node detected - Expect mean reversion behavior
LVN: Low Volume Node detected - Expect breakout/continuation behavior
VA: Value Area - Normal trading range behavior
💼 Why Professional Traders Choose VPQ
Institutional-Grade Analysis
VPQ processes volume data using the same concepts institutional traders use to identify fair value, but packages it in an accessible, real-time format.
Time Efficiency
What would take minutes of manual Volume Profile analysis happens instantly with VPQ. The proprietary scoring system eliminates interpretation ambiguity.
Edge Preservation
The adaptive node weighting system provides an analytical edge not available in standard Volume Profile tools - knowing when to fade extremes (HVN) vs trade breakouts (LVN).
Clean Workflow
No chart clutter, no complex histogram interpretation, no manual calculations. Just one clean oscillator that tells you everything you need to know about volume-based fair value.
Versatile Integration
Works with any trading style - scalping, day trading, swing trading. Combines seamlessly with technical analysis, price action, or systematic strategies.
🔧 Technical Specifications
Code Base: 100% original Pine Script v6 implementation
Calculation Method: Proprietary multi-stage algorithm with adaptive weighting
Update Frequency: Real-time with every new bar
Performance: Optimized for institutional-grade analysis (5000+ bars)
Compatibility: Works on all instruments and timeframes
📊 Recommended Workflow
Set VPQ timeframe to 30min-4H for institutional volume context
Identify current zone (discount/premium) and type (HVN/LVN/VA)
Wait for extreme readings (±50) for best risk/reward
Combine with your preferred confirmation method
Use built-in alerts to catch key threshold crosses
Adjust position sizing based on VPQ zone strength
🔐 Access and Support
This is an invite-only indicator featuring proprietary algorithms developed through extensive research and testing. Access is granted to serious traders who understand the value of advanced volume analysis tools.
What's Included:
Full access to VPQ Oscillator with all features
Regular updates and improvements
Optimized performance for real-time trading
Professional-grade volume analysis unavailable elsewhere
⚠️ Risk Disclosure
This indicator is a professional trading tool and requires proper understanding of volume analysis concepts. It should be used as part of a complete trading plan with appropriate risk management. Past performance does not guarantee future results. Trading involves substantial risk of loss.
📝 Version Information
Current Version: 1.0 (February 2026)
Pine Script: v6
Developer: Momen Medhat
License: Proprietary (Invite-Only)
ZenAlgo - ChannelOverview and required chart interaction
This indicator draws a price channel and a volume profile that are both anchored to a user defined swing range. To initialize it, the user must pick two chart timestamps using the script inputs:
Start - the first anchor point (typically one extreme of the move, such as the swing low for an ascending move or the swing high for a descending move).
End - the second anchor point (the opposite extreme of that same move).
After both points are set, the script analyzes the bars between Start and End, fits a sloped channel through that range, builds a volume profile aligned with the channel, and then projects all derived levels forward along the same slope.
Inputs and what they control
Volume area and profile resolution
Width % controls how far the volume profile histogram can extend horizontally. It scales the longest profile bar relative to the Start-End range length.
Volume Area % controls how much of total volume around the profile’s highest volume region is included when computing the value area boundaries.
Style and visibility
Toggles exist for displaying the profile derived levels: LOC , VAH/VAL , pivot labels (HH, HL, LH, LL), breakout shapes, and optional ghost extensions.
Extend lines right decides whether primary lines are truly extended to the right by TradingView’s line extension, or only drawn for the Start-End segment.
Ghost Extend draws dotted, semi transparent projections for a configurable number of future bars when the main lines are not extended.
Deviation levels
Deviation Multiplier and Deviation Levels add symmetric bands above and below the LOC, spaced by a distance derived from the channel height relative to LOC. These bands are projected along the channel slope.
Slope analysis and alerts
The script can evaluate channel "strength" using either angle in degrees or a normalized percent-per-bar slope . The chosen measure is then bucketed into qualitative strength categories that are used only for labeling and alert message context.
Alerts can be enabled for confirmed breakouts and for slope sign changes (bullish to bearish, or bearish to bullish).
How the channel baseline is constructed from Start to End
Once Start is reached, the script begins accumulating bar-by-bar statistics until End is reached:
It tracks the number of bars in the selected range and accumulates an average and a linearly weighted average of closes.
At End, it converts those aggregates into a straight line defined by a start value, an end value, and a per-bar slope across the Start-End period.
Why this works (within the chosen range):
Using a fitted line over the selected segment provides a compact description of directional drift across that range. It will not capture every fluctuation, but it provides a stable reference for projecting "where the middle of the move is" as time advances.
How the channel height is determined and why the borders sit where they do
After computing the baseline slope, the script scans through the selected bars to measure how far price deviated above and below that baseline:
For each bar in the range, it computes the baseline value at that bar index and measures the distance from that baseline to the bar’s high and to the bar’s low.
It finds the maximum upward deviation and the maximum downward deviation.
The baseline is shifted so the lower channel border is aligned to the worst downward deviation, and the total channel height becomes the distance between the worst upward and worst downward deviations.
Why this works (and what it implies):
The resulting channel borders are anchored to the extremes observed in the selected range. That makes the borders a description of the range’s realized "envelope" around the fitted drift.
Because this envelope is derived from past extremes in the chosen window, it is descriptive rather than predictive. When price behavior changes, future price can exceed the historical envelope and will be treated as a breakout.
How the volume profile is built inside the channel
The script constructs a volume profile that is aligned with the sloped channel, not a flat horizontal range:
The channel’s vertical span is divided into the configured number of bins (Layers).
For each bar in the selected range, the script checks which bins are intersected by that bar’s high-low range and adds that bar’s volume to each intersected bin.
It keeps track of the bin with the highest accumulated volume. That bin defines the profile’s maximum-volume region.
Why this works (and what it measures):
Aggregating volume by where price traded within the channel helps identify the areas where the most activity occurred during the selected move.
Using bar range intersection (high-low crossing a bin) is a practical approximation for distributing volume across prices without requiring intrabar volume-at-price data. This approximation can over-attribute volume to multiple bins for wide bars, but it remains consistent across the range.
LOC, VAH, and VAL derivation
LOC (line of control)
The LOC is placed at the center of the highest-volume bin.
The LOC is then drawn as a line from Start to End, following the same slope as the channel baseline.
Interpretation:
LOC represents the most frequently traded zone within the selected channel range, expressed as a sloped level that moves forward with the channel’s drift.
VAH and VAL
Total volume across all bins is computed.
Starting from the highest-volume bin, the script expands upward and downward, accumulating volume until the accumulated fraction exceeds the configured Volume Area %.
The highest included bin boundary becomes VAH, and the lowest included bin boundary becomes VAL.
VAH and VAL are drawn as sloped lines parallel to the channel drift.
Interpretation:
VAH and VAL bound the portion of the channel where the majority of the range’s volume accumulated, based on the chosen percentage.
Relative position of price to these levels can be used as context for whether current trading is occurring in historically high-activity or low-activity parts of the selected move.
Deviation bands around LOC
After LOC is known, the script creates additional parallel bands:
It measures the vertical distance from LOC to the top channel border.
Using that as a base offset, it draws symmetric lines above and below LOC for each deviation level, scaled by the deviation multiplier.
These lines are projected with the same slope as the channel.
Interpretation:
These bands provide repeated "distance markers" above and below LOC in units derived from the selected range’s internal structure.
They are best treated as contextual zones rather than precise targets, because spacing is tied to the chosen Start-End window and its extremes.
Optional projections: Extend right and Ghost Extend
Two projection mechanisms exist:
If Extend lines right is enabled, the main channel borders, LOC, and optionally VAH/VAL and deviation lines are extended using TradingView line extension.
If Extend right is disabled but Ghost Extend is enabled, dotted projections are drawn for a fixed number of future bars from End, including channel borders, LOC, VAH/VAL, and deviation lines.
Interpretation:
Both options visualize where the same fitted structure would land in future bars if slope remains unchanged. They do not update slope unless Start-End selection is changed.
Pivot labels: HH, HL, LH, LL
The script optionally labels local swing points using pivot detection:
A pivot high is confirmed when a high is greater than neighboring highs by the configured left and right bar counts.
A pivot low is confirmed similarly for lows.
New pivot highs are labeled as HH or LH relative to the prior pivot high, and pivot lows as HL or LL relative to the prior pivot low.
The logic includes a reset behavior after a new LL or HH to reduce chaining ambiguity across regime shifts.
Interpretation:
These labels provide local structure context that can be compared to the channel’s direction and to whether price is interacting with channel borders or profile levels.
Breakout detection on channel borders
Once End is set, the channel is considered active and the script evaluates each new bar against the channel borders at that bar index:
It computes the current top and bottom border values for the present bar by advancing from the Start baseline with the fitted slope and channel height.
A potential breakout is marked on the first bar that crosses above the top border (or below the bottom border), using a close-based crossing test against the prior bar’s border value.
After a potential breakout, the script waits for confirmation:
For an upside breakout, confirmation occurs only if price remains above the top border and then closes higher than the potential breakout close.
For a downside breakout, confirmation occurs only if price remains below the bottom border and then closes lower than the potential breakout close.
If price re-enters back inside the border before confirmation, the pending breakout state is canceled.
Interpretation:
The two-step logic distinguishes an initial border cross from follow-through. It aims to reduce cases where a single bar spikes outside the channel and immediately returns.
The confirmation test is still close-based and does not consider intrabar excursions beyond the channel, so it is sensitive to candle closes rather than wicks.
Alerts included by the script
Confirmed breakout up or down can trigger alerts and corresponding alertconditions, aligned to the confirmed state described above.
Slope sign change alert triggers when the computed slope (based on the last selected Start-End range) flips sign compared to the previously computed slope. This is a re-selection or re-computation event rather than a continuous recalculation.
How to interpret the plotted elements together
A practical way to read the indicator is to separate it into three layers of information:
Channel structure
Top and bottom borders describe the fitted envelope of the selected range.
The slope indicates the drift direction implied by that selection.
Activity structure inside the channel
LOC is the highest-activity region within the selected range, projected along drift.
VAH and VAL bound the configured fraction of volume around the activity center.
Deviation bands give repeated distance zones around LOC.
Event markers
Pivot labels show local swing structure.
Breakout markers highlight border crosses and confirmed follow-through.
How to best use this indicator
Selecting Start and End effectively
Choose Start and End that represent a coherent swing segment where you want the channel and profile to describe that move.
Avoid mixing multiple regimes (for example, including both a strong trend and a later choppy distribution) unless that is explicitly what you want the profile to summarize.
If the selected window is extremely long, the script limits processing to recent data due to a hard cap (it warns when the range exceeds 10,000 bars and uses only the most recent subset).
Using LOC, VAH, and VAL for context
Treat LOC as the "most traded" zone of the selected move, projected forward.
Treat VAH and VAL as boundaries of the selected move’s high-activity region. Price acceptance inside VAH-VAL and excursions outside that band can be interpreted as trading in higher-activity versus lower-activity zones of the selected move.
Using breakouts
A potential breakout is an early warning that the historical envelope is being exceeded on a closing basis.
A confirmed breakout indicates follow-through beyond the initial breakout close while remaining outside the channel border.
Combining with pivot labels
Compare HH/HL sequences to the channel slope to understand whether local structure aligns with the selected drift.
Pivot labels can also help you decide when the current Start-End selection is no longer representative and should be refreshed.
Added value over other free indicators
The volume profile is constructed along a sloped channel , not a flat horizontal range, so the distribution is expressed in the same coordinate frame as the selected drift.
LOC, VAH, and VAL are therefore projected parallel to the channel , providing moving reference levels tied to the chosen swing segment rather than static horizontal bands.
Breakout logic uses a two-step potential and confirmation mechanism, which separates first border crossings from subsequent follow-through conditions.
Disclaimers and where the indicator can fall short
Results depend heavily on Start and End selection. Different anchor points can produce materially different slope, channel height, and profile levels.
The volume profile uses candle range intersection to distribute volume across bins. Large range candles can contribute volume to many bins, which may broaden the apparent distribution.
The channel borders are based on extremes within the selected range. If market volatility expands, price can exceed the envelope frequently and produce repeated breakout states.
Breakout detection is close-based. Wick-only excursions beyond borders are not treated as breakouts unless the close crosses the border.
Very large ranges may be truncated for processing due to the script’s internal bar limit, which changes what data is actually summarized.
ORB Fusion🎯 CORE INNOVATION: INSTITUTIONAL ORB FRAMEWORK WITH FAILED BREAKOUT INTELLIGENCE
ORB Fusion represents a complete institutional-grade Opening Range Breakout system combining classic Market Profile concepts (Initial Balance, day type classification) with modern algorithmic breakout detection, failed breakout reversal logic, and comprehensive statistical tracking. Rather than simply drawing lines at opening range extremes, this system implements the full trading methodology used by professional floor traders and market makers—including the critical concept that failed breakouts are often higher-probability setups than successful breakouts .
The Opening Range Hypothesis:
The first 30-60 minutes of trading establishes the day's value area —the price range where the majority of participants agree on fair value. This range is formed during peak information flow (overnight news digestion, gap reactions, early institutional positioning). Breakouts from this range signal directional conviction; failures to hold breakouts signal trapped participants and create exploitable reversals.
Why Opening Range Matters:
1. Information Aggregation : Opening range reflects overnight news, pre-market sentiment, and early institutional orders. It's the market's initial "consensus" on value.
2. Liquidity Concentration : Stop losses cluster just outside opening range. Breakouts trigger these stops, creating momentum. Failed breakouts trap traders, forcing reversals.
3. Statistical Persistence : Markets exhibit range expansion tendency —when price accepts above/below opening range with volume, it often extends 1.0-2.0x the opening range size before mean reversion.
4. Institutional Behavior : Large players (market makers, institutions) use opening range as reference for the day's trading plan. They fade extremes in rotation days and follow breakouts in trend days.
Historical Context:
Opening Range Breakout methodology originated in commodity futures pits (1970s-80s) where floor traders noticed consistent patterns: the first 30-60 minutes established a "fair value zone," and directional moves occurred when this zone was violated with conviction. J. Peter Steidlmayer formalized this observation in Market Profile theory, introducing the "Initial Balance" concept—the first hour (two 30-minute periods) defining market structure.
📊 OPENING RANGE CONSTRUCTION
Four ORB Timeframe Options:
1. 5-Minute ORB (0930-0935 ET):
Captures immediate market direction during "opening drive"—the explosive first few minutes when overnight orders hit the tape.
Use Case:
• Scalping strategies
• High-frequency breakout trading
• Extremely liquid instruments (ES, NQ, SPY)
Characteristics:
• Very tight range (often 0.2-0.5% of price)
• Early breakouts common (7 of 10 days break within first hour)
• Higher false breakout rate (50-60%)
• Requires sub-minute chart monitoring
Psychology: Captures panic buyers/sellers reacting to overnight news. Range is small because sample size is minimal—only 5 minutes of price discovery. Early breakouts often fail because they're driven by retail FOMO rather than institutional conviction.
2. 15-Minute ORB (0930-0945 ET):
Balances responsiveness with statistical validity. Captures opening drive plus initial reaction to that drive.
Use Case:
• Day trading strategies
• Balanced scalping/swing hybrid
• Most liquid instruments
Characteristics:
• Moderate range (0.4-0.8% of price typically)
• Breakout rate ~60% of days
• False breakout rate ~40-45%
• Good balance of opportunity and reliability
Psychology: Includes opening panic AND the first retest/consolidation. Sophisticated traders (institutions, algos) start expressing directional bias. This is the "Goldilocks" timeframe—not too reactive, not too slow.
3. 30-Minute ORB (0930-1000 ET):
Classic ORB timeframe. Default for most professional implementations.
Use Case:
• Standard intraday trading
• Position sizing for full-day trades
• All liquid instruments (equities, indices, futures)
Characteristics:
• Substantial range (0.6-1.2% of price)
• Breakout rate ~55% of days
• False breakout rate ~35-40%
• Statistical sweet spot for extensions
Psychology: Full opening auction + first institutional repositioning complete. By 10:00 AM ET, headlines are digested, early stops are hit, and "real" directional players reveal themselves. This is when institutional programs typically finish their opening positioning.
Statistical Advantage: 30-minute ORB shows highest correlation with daily range. When price breaks and holds outside 30m ORB, probability of reaching 1.0x extension (doubling the opening range) exceeds 60% historically.
4. 60-Minute ORB (0930-1030 ET) - Initial Balance:
Steidlmayer's "Initial Balance"—the foundation of Market Profile theory.
Use Case:
• Swing trading entries
• Day type classification
• Low-frequency institutional setups
Characteristics:
• Wide range (0.8-1.5% of price)
• Breakout rate ~45% of days
• False breakout rate ~25-30% (lowest)
• Best for trend day identification
Psychology: Full first hour captures A-period (0930-1000) and B-period (1000-1030). By 10:30 AM ET, all early positioning is complete. Market has "voted" on value. Subsequent price action confirms (trend day) or rejects (rotation day) this value assessment.
Initial Balance Theory:
IB represents the market's accepted value area . When price extends significantly beyond IB (>1.5x IB range), it signals a Trend Day —strong directional conviction. When price remains within 1.0x IB, it signals a Rotation Day —mean reversion environment. This classification completely changes trading strategy.
🔬 LTF PRECISION TECHNOLOGY
The Chart Timeframe Problem:
Traditional ORB indicators calculate range using the chart's current timeframe. This creates critical inaccuracies:
Example:
• You're on a 5-minute chart
• ORB period is 30 minutes (0930-1000 ET)
• Indicator sees only 6 bars (30min ÷ 5min/bar = 6 bars)
• If any 5-minute bar has extreme wick, entire ORB is distorted
The Problem Amplifies:
• On 15-minute chart with 30-minute ORB: Only 2 bars sampled
• On 30-minute chart with 30-minute ORB: Only 1 bar sampled
• Opening spike or single large wick defines entire range (invalid)
Solution: Lower Timeframe (LTF) Precision:
ORB Fusion uses `request.security_lower_tf()` to sample 1-minute bars regardless of chart timeframe:
```
For 30-minute ORB on 15-minute chart:
- Traditional method: Uses 2 bars (15min × 2 = 30min)
- LTF Precision: Requests thirty 1-minute bars, calculates true high/low
```
Why This Matters:
Scenario: ES futures, 15-minute chart, 30-minute ORB
• Traditional ORB: High = 5850.00, Low = 5842.00 (range = 8 points)
• LTF Precision ORB: High = 5848.50, Low = 5843.25 (range = 5.25 points)
Difference: 2.75 points distortion from single 15-minute wick hitting 5850.00 at 9:31 AM then immediately reversing. LTF precision filters this out by seeing it was a fleeting wick, not a sustained high.
Impact on Extensions:
With inflated range (8 points vs 5.25 points):
• 1.5x extension projects +12 points instead of +7.875 points
• Difference: 4.125 points (nearly $200 per ES contract)
• Breakout signals trigger late; extension targets unreachable
Implementation:
```pinescript
getLtfHighLow() =>
float ha = request.security_lower_tf(syminfo.tickerid, "1", high)
float la = request.security_lower_tf(syminfo.tickerid, "1", low)
```
Function returns arrays of 1-minute high/low values, then finds true maximum and minimum across all samples.
When LTF Precision Activates:
Only when chart timeframe exceeds ORB session window:
• 5-minute chart + 30-minute ORB: LTF used (chart TF > session bars needed)
• 1-minute chart + 30-minute ORB: LTF not needed (direct sampling sufficient)
Recommendation: Always enable LTF Precision unless you're on 1-minute charts. The computational overhead is negligible, and accuracy improvement is substantial.
⚖️ INITIAL BALANCE (IB) FRAMEWORK
Steidlmayer's Market Profile Innovation:
J. Peter Steidlmayer developed Market Profile in the 1980s for the Chicago Board of Trade. His key insight: market structure is best understood through time-at-price (value area) rather than just price-over-time (traditional charts).
Initial Balance Definition:
IB is the price range established during the first hour of trading, subdivided into:
• A-Period : First 30 minutes (0930-1000 ET for US equities)
• B-Period : Second 30 minutes (1000-1030 ET)
A-Period vs B-Period Comparison:
The relationship between A and B periods forecasts the day:
B-Period Expansion (Bullish):
• B-period high > A-period high
• B-period low ≥ A-period low
• Interpretation: Buyers stepping in after opening assessed
• Implication: Bullish continuation likely
• Strategy: Buy pullbacks to A-period high (now support)
B-Period Expansion (Bearish):
• B-period low < A-period low
• B-period high ≤ A-period high
• Interpretation: Sellers stepping in after opening assessed
• Implication: Bearish continuation likely
• Strategy: Sell rallies to A-period low (now resistance)
B-Period Contraction:
• B-period stays within A-period range
• Interpretation: Market indecisive, digesting A-period information
• Implication: Rotation day likely, stay range-bound
• Strategy: Fade extremes, sell high/buy low within IB
IB Extensions:
Professional traders use IB as a ruler to project price targets:
Extension Levels:
• 0.5x IB : Initial probe outside value (minor target)
• 1.0x IB : Full extension (major target for normal days)
• 1.5x IB : Trend day threshold (classifies as trending)
• 2.0x IB : Strong trend day (rare, ~10-15% of days)
Calculation:
```
IB Range = IB High - IB Low
Bull Extension 1.0x = IB High + (IB Range × 1.0)
Bear Extension 1.0x = IB Low - (IB Range × 1.0)
```
Example:
ES futures:
• IB High: 5850.00
• IB Low: 5842.00
• IB Range: 8.00 points
Extensions:
• 1.0x Bull Target: 5850 + 8 = 5858.00
• 1.5x Bull Target: 5850 + 12 = 5862.00
• 2.0x Bull Target: 5850 + 16 = 5866.00
If price reaches 5862.00 (1.5x), day is classified as Trend Day —strategy shifts from mean reversion to trend following.
📈 DAY TYPE CLASSIFICATION SYSTEM
Four Day Types (Market Profile Framework):
1. TREND DAY:
Definition: Price extends ≥1.5x IB range in one direction and stays there.
Characteristics:
• Opens and never returns to IB
• Persistent directional movement
• Volume increases as day progresses (conviction building)
• News-driven or strong institutional flow
Frequency: ~20-25% of trading days
Trading Strategy:
• DO: Follow the trend, trail stops, let winners run
• DON'T: Fade extremes, take early profits
• Key: Add to position on pullbacks to previous extension level
• Risk: Getting chopped in false trend (see Failed Breakout section)
Example: FOMC decision, payroll report, earnings surprise—anything creating one-sided conviction.
2. NORMAL DAY:
Definition: Price extends 0.5-1.5x IB, tests both sides, returns to IB.
Characteristics:
• Two-sided trading
• Extensions occur but don't persist
• Volume balanced throughout day
• Most common day type
Frequency: ~45-50% of trading days
Trading Strategy:
• DO: Take profits at extension levels, expect reversals
• DON'T: Hold for massive moves
• Key: Treat each extension as a profit-taking opportunity
• Risk: Holding too long when momentum shifts
Example: Typical day with no major catalysts—market balancing supply and demand.
3. ROTATION DAY:
Definition: Price stays within IB all day, rotating between high and low.
Characteristics:
• Never accepts outside IB
• Multiple tests of IB high/low
• Decreasing volume (no conviction)
• Classic range-bound action
Frequency: ~25-30% of trading days
Trading Strategy:
• DO: Fade extremes (sell IB high, buy IB low)
• DON'T: Chase breakouts
• Key: Enter at extremes with tight stops just outside IB
• Risk: Breakout finally occurs after multiple failures
Example: [/b> Pre-holiday trading, summer doldrums, consolidation after big move.
4. DEVELOPING:
Definition: Day type not yet determined (early in session).
Usage: Classification before 12:00 PM ET when IB extension pattern unclear.
ORB Fusion's Classification Algorithm:
```pinescript
if close > ibHigh:
ibExtension = (close - ibHigh) / ibRange
direction = "BULLISH"
else if close < ibLow:
ibExtension = (ibLow - close) / ibRange
direction = "BEARISH"
if ibExtension >= 1.5:
dayType = "TREND DAY"
else if ibExtension >= 0.5:
dayType = "NORMAL DAY"
else if close within IB:
dayType = "ROTATION DAY"
```
Why Classification Matters:
Same setup (bullish ORB breakout) has opposite implications:
• Trend Day : Hold for 2.0x extension, trail stops aggressively
• Normal Day : Take profits at 1.0x extension, watch for reversal
• Rotation Day : Fade the breakout immediately (likely false)
Knowing day type prevents catastrophic errors like fading a trend day or holding through rotation.
🚀 BREAKOUT DETECTION & CONFIRMATION
Three Confirmation Methods:
1. Close Beyond Level (Recommended):
Logic: Candle must close above ORB high (bull) or below ORB low (bear).
Why:
• Filters out wicks (temporary liquidity grabs)
• Ensures sustained acceptance above/below range
• Reduces false breakout rate by ~20-30%
Example:
• ORB High: 5850.00
• Bar high touches 5850.50 (wick above)
• Bar closes at 5848.00 (inside range)
• Result: NO breakout signal
vs.
• Bar high touches 5850.50
• Bar closes at 5851.00 (outside range)
• Result: BREAKOUT signal confirmed
Trade-off: Slightly delayed entry (wait for close) but much higher reliability.
2. Wick Beyond Level:
Logic: [/b> Any touch of ORB high/low triggers breakout.
Why:
• Earliest possible entry
• Captures aggressive momentum moves
Risk:
• High false breakout rate (60-70%)
• Stop runs trigger signals
• Requires very tight stops (difficult to manage)
Use Case: Scalping with 1-2 point profit targets where any penetration = trade.
3. Body Beyond Level:
Logic: [/b> Candle body (close vs open) must be entirely outside range.
Why:
• Strictest confirmation
• Ensures directional conviction (not just momentum)
• Lowest false breakout rate
Example: Trade-off: [/b> Very conservative—misses some valid breakouts but rarely triggers on false ones.
Volume Confirmation Layer:
All confirmation methods can require volume validation:
Volume Multiplier Logic: Rationale: [/b> True breakouts are driven by institutional activity (large size). Volume spike confirms real conviction vs. stop-run manipulation.
Statistical Impact: [/b>
• Breakouts with volume confirmation: ~65% success rate
• Breakouts without volume: ~45% success rate
• Difference: 20 percentage points edge
Implementation Note: [/b>
Volume confirmation adds complexity—you'll miss breakouts that work but lack volume. However, when targeting 1.5x+ extensions (ambitious goals), volume confirmation becomes critical because those moves require sustained institutional participation.
Recommended Settings by Strategy: [/b>
Scalping (1-2 point targets): [/b>
• Method: Close
• Volume: OFF
• Rationale: Quick in/out doesn't need perfection
Intraday Swing (5-10 point targets): [/b>
• Method: Close
• Volume: ON (1.5x multiplier)
• Rationale: Balance reliability and opportunity
Position Trading (full-day holds): [/b>
• Method: Body
• Volume: ON (2.0x multiplier)
• Rationale: Must be certain—large stops require high win rate
🔥 FAILED BREAKOUT SYSTEM
The Core Insight: [/b>
Failed breakouts are often more profitable [/b> than successful breakouts because they create trapped traders with predictable behavior.
Failed Breakout Definition: [/b>
A breakout that:
1. Initially penetrates ORB level with confirmation
2. Attracts participants (volume spike, momentum)
3. Fails to extend (stalls or immediately reverses)
4. Returns inside ORB range within N bars
Psychology of Failure: [/b>
When breakout fails:
• Breakout buyers are trapped [/b>: Bought at ORB high, now underwater
• Early longs reduce: Take profit, fearful of reversal
• Shorts smell blood: See failed breakout as reversal signal
• Result: Cascade of selling as trapped bulls exit + new shorts enter
Mirror image for failed bearish breakouts (trapped shorts cover + new longs enter).
Failure Detection Parameters: [/b>
1. Failure Confirmation Bars (default: 3): [/b>
How many bars after breakout to confirm failure?
Logic: Settings: [/b>
• 2 bars: Aggressive failure detection (more signals, more false failures)
• 3 bars Balanced (default)
• 5-10 bars: Conservative (wait for clear reversal)
Why This Matters:
Too few bars: You call "failed breakout" when price is just consolidating before next leg.
Too many bars: You miss the reversal entry (price already back in range).
2. Failure Buffer (default: 0.1 ATR): [/b>
How far inside ORB must price return to confirm failure?
Formula: Why Buffer Matters: clear rejection [/b> (not just hovering at level).
Settings: [/b>
• 0.0 ATR: No buffer, immediate failure signal
• 0.1 ATR: Small buffer (default) - filters noise
• [b>0.2-0.3 ATR: Large buffer - only dramatic failures count
Example: Reversal Entry System: [/b>
When failure confirmed, system generates complete reversal trade:
For Failed Bull Breakout (Short Reversal): [/b>
Entry: [/b> Current close when failure confirmed
Stop Loss: [/b> Extreme high since breakout + 0.10 ATR padding
Target 1: [/b> ORB High - (ORB Range × 0.5)
Target 2: Target 3: [/b> ORB High - (ORB Range × 1.5)
Example:
• ORB High: 5850, ORB Low: 5842, Range: 8 points
• Breakout to 5853, fails, reverses to 5848 (entry)
• Stop: 5853 + 1 = 5854 (6 point risk)
• T1: 5850 - 4 = 5846 (-2 points, 1:3 R:R)
• T2: 5850 - 8 = 5842 (-6 points, 1:1 R:R)
• T3: 5850 - 12 = 5838 (-10 points, 1.67:1 R:R)
[b>Why These Targets? [/b>
• T1 (0.5x ORB below high): Trapped bulls start panic
• T2 (1.0x ORB = ORB Mid): Major retracement, momentum fully reversed
• T3 (1.5x ORB): Reversal extended, now targeting opposite side
Historical Performance: [/b>
Failed breakout reversals in ORB Fusion's tracking system show:
• Win Rate: 65-75% (significantly higher than initial breakouts)
• Average Winner: 1.2x ORB range
• Average Loser: 0.5x ORB range (protected by stop at extreme)
• Expectancy: Strongly positive even with <70% win rate
Why Failed Breakouts Outperform: [/b>
1. Information Advantage: You now know what price did (failed to extend). Initial breakout trades are speculative; reversal trades are reactive to confirmed failure.
2. Trapped Participant Pressure: Every trapped bull becomes a seller. This creates sustained pressure.
3. Stop Loss Clarity: Extreme high is obvious stop (just beyond recent high). Breakout trades have ambiguous stops (ORB mid? Recent low? Too wide or too tight).
4. Mean Reversion Edge: Failed breakouts return to value (ORB mid). Initial breakouts try to escape value (harder to sustain).
Critical Insight: [/b>
"The best trade is often the one that trapped everyone else."
Failed breakouts create asymmetric opportunity because you're trading against [/b> trapped participants rather than with [/b> them. When you see a failed breakout signal, you're seeing real-time evidence that the market rejected directional conviction—that's exploitable.
📐 FIBONACCI EXTENSION SYSTEM
Six Extension Levels: [/b>
Extensions project how far price will travel after ORB breakout. Based on Fibonacci ratios + empirical market behavior.
1. 1.272x (27.2% Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 0.272)
Psychology: [/b> Initial probe beyond ORB. Early momentum + trapped shorts (on bull side) covering.
Probability of Reach: [/b> ~75-80% after confirmed breakout
Trading: [/b>
• First resistance/support after breakout
• Partial profit target (take 30-50% off)
• Watch for rejection here (could signal failure in progress)
Why 1.272? [/b> Related to harmonic patterns (1.272 is √1.618). Empirically, markets often stall at 25-30% extension before deciding whether to continue or fail.
2. 1.5x (50% Extension):
Formula: [/b> ORB High/Low + (ORB Range × 0.5)
Psychology: [/b> Breakout gaining conviction. Requires sustained buying/selling (not just momentum spike).
Probability of Reach: [/b> ~60-65% after confirmed breakout
Trading: [/b>
• Major partial profit (take 50-70% off)
• Move stops to breakeven
• Trail remaining position
Why 1.5x? [/b> Classic halfway point to 2.0x. Markets often consolidate here before final push. If day type is "Normal," this is likely the high/low for the day.
3. 1.618x (Golden Ratio Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 0.618)
Psychology: [/b> Strong directional day. Institutional conviction + retail FOMO.
Probability of Reach: [/b> ~45-50% after confirmed breakout
Trading: [/b>
• Final partial profit (close 80-90%)
• Trail remainder with wide stop (allow breathing room)
Why 1.618? [/b> Fibonacci golden ratio. Appears consistently in market geometry. When price reaches 1.618x extension, move is "mature" and reversal risk increases.
4. 2.0x (100% Extension): [/b>
Formula: ORB High/Low + (ORB Range × 1.0)
Psychology: [/b> Trend day confirmed. Opening range completely duplicated.
Probability of Reach: [/b> ~30-35% after confirmed breakout
Trading: Why 2.0x? [/b> Psychological level—range doubled. Also corresponds to typical daily ATR in many instruments (opening range ~ 0.5 ATR, daily range ~ 1.0 ATR).
5. 2.618x (Super Extension):
Formula: [/b> ORB High/Low + (ORB Range × 1.618)
Psychology: [/b> Parabolic move. News-driven or squeeze.
Probability of Reach: [/b> ~10-15% after confirmed breakout
[b>Trading: Why 2.618? [/b> Fibonacci ratio (1.618²). Rare to reach—when it does, move is extreme. Often precedes multi-day consolidation or reversal.
6. 3.0x (Extreme Extension): [/b>
Formula: [/b> ORB High/Low + (ORB Range × 2.0)
Psychology: [/b> Market melt-up/crash. Only in extreme events.
[b>Probability of Reach: [/b> <5% after confirmed breakout
Trading: [/b>
• Close immediately if reached
• These are outlier events (black swans, flash crashes, squeeze-outs)
• Holding for more is greed—take windfall profit
Why 3.0x? [/b> Triple opening range. So rare it's statistical noise. When it happens, it's headline news.
Visual Example:
ES futures, ORB 5842-5850 (8 point range), Bullish breakout:
• ORB High : 5850.00 (entry zone)
• 1.272x : 5850 + 2.18 = 5852.18 (first resistance)
• 1.5x : 5850 + 4.00 = 5854.00 (major target)
• 1.618x : 5850 + 4.94 = 5854.94 (strong target)
• 2.0x : 5850 + 8.00 = 5858.00 (trend day)
• 2.618x : 5850 + 12.94 = 5862.94 (extreme)
• 3.0x : 5850 + 16.00 = 5866.00 (parabolic)
Profit-Taking Strategy:
Optimal scaling out at extensions:
• Breakout entry at 5850.50
• 30% off at 1.272x (5852.18) → +1.68 points
• 40% off at 1.5x (5854.00) → +3.50 points
• 20% off at 1.618x (5854.94) → +4.44 points
• 10% off at 2.0x (5858.00) → +7.50 points
[b>Average Exit: Conclusion: [/b> Scaling out at extensions produces 40% higher expectancy than holding for home runs.
📊 GAP ANALYSIS & FILL PSYCHOLOGY
[b>Gap Definition: [/b>
Price discontinuity between previous close and current open:
• Gap Up : Open > Previous Close + noise threshold (0.1 ATR)
• Gap Down : Open < Previous Close - noise threshold
Why Gaps Matter: [/b>
Gaps represent unfilled orders [/b>. When market gaps up, all limit buy orders between yesterday's close and today's open are never filled. Those buyers are "left behind." Psychology: they wait for price to return ("fill the gap") so they can enter. This creates magnetic pull [/b> toward gap level.
Gap Fill Statistics (Empirical): [/b>
• Gaps <0.5% [/b>: 85-90% fill within same day
• Gaps 0.5-1.0% [/b>: 70-75% fill within same day, 90%+ within week
• Gaps >1.0% [/b>: 50-60% fill within same day (major news often prevents fill)
Gap Fill Strategy: [/b>
Setup 1: Gap-and-Go
Gap opens, extends away from gap (doesn't fill).
• ORB confirms direction away from gap
• Trade WITH ORB breakout direction
• Expectation: Gap won't fill today (momentum too strong)
Setup 2: Gap-Fill Fade
Gap opens, but fails to extend. Price drifts back toward gap.
• ORB breakout TOWARD gap (not away)
• Trade toward gap fill level
• Target: Previous close (gap fill complete)
Setup 3: Gap-Fill Rejection
Gap fills (touches previous close) then rejects.
• ORB breakout AWAY from gap after fill
• Trade away from gap direction
• Thesis: Gap filled (orders executed), now resume original direction
[b>Example: Scenario A (Gap-and-Go):
• ORB breaks upward to $454 (away from gap)
• Trade: LONG breakout, expect continued rally
• Gap becomes support ($452)
Scenario B (Gap-Fill):
• ORB breaks downward through $452.50 (toward gap)
• Trade: SHORT toward gap fill at $450.00
• Target: $450.00 (gap filled), close position
Scenario C (Gap-Fill Rejection):
• Price drifts to $450.00 (gap filled) early in session
• ORB establishes $450-$451 after gap fill
• ORB breaks upward to $451.50
• Trade: LONG breakout (gap is filled, now resume rally)
ORB Fusion Integration: [/b>
Dashboard shows:
• Gap type (Up/Down/None)
• Gap size (percentage)
• Gap fill status (Filled ✓ / Open)
This informs setup confidence:
• ORB breakout AWAY from unfilled gap: +10% confidence (gap becomes support/resistance)
• ORB breakout TOWARD unfilled gap: -10% confidence (gap fill may override ORB)
[b>📈 VWAP & INSTITUTIONAL BIAS [/b>
[b>Volume-Weighted Average Price (VWAP): [/b>
Average price weighted by volume at each price level. Represents true "average" cost for the day.
[b>Calculation: Institutional Benchmark [/b>: Institutions (mutual funds, pension funds) use VWAP as performance benchmark. If they buy above VWAP, they underperformed; below VWAP, they outperformed.
2. [b>Algorithmic Target [/b>: Many algos are programmed to buy below VWAP and sell above VWAP to achieve "fair" execution.
3. [b>Support/Resistance [/b>: VWAP acts as dynamic support (price above) or resistance (price below).
[b>VWAP Bands (Standard Deviations): [/b>
• [b>1σ Band [/b>: VWAP ± 1 standard deviation
- Contains ~68% of volume
- Normal trading range
- Bounces common
• [b>2σ Band [/b>: VWAP ± 2 standard deviations
- Contains ~95% of volume
- Extreme extension
- Mean reversion likely
ORB + VWAP Confluence: [/b>
Highest-probability setups occur when ORB and VWAP align:
Bullish Confluence: [/b>
• ORB breakout upward (bullish signal)
• Price above VWAP (institutional buying)
• Confidence boost: +15%
Bearish Confluence: [/b>
• ORB breakout downward (bearish signal)
• Price below VWAP (institutional selling)
• Confidence boost: +15%
[b>Divergence Warning:
• ORB breakout upward BUT price below VWAP
• Conflict: Breakout says "buy," VWAP says "sell"
• Confidence penalty: -10%
• Interpretation: Retail buying but institutions not participating (lower quality breakout)
📊 MOMENTUM CONTEXT SYSTEM
[b>Innovation: Candle Coloring by Position
Rather than fixed support/resistance lines, ORB Fusion colors candles based on their [b>relationship to ORB :
[b>Three Zones: [/b>
1. Inside ORB (Blue Boxes): [/b>
[b>Calculation:
• Darker blue: Near extremes of ORB (potential breakout imminent)
• Lighter blue: Near ORB mid (consolidation)
[b>Trading: [/b> Coiled spring—await breakout.
[b>2. Above ORB (Green Boxes):
[b>Calculation: 3. Below ORB (Red Boxes):
Mirror of above ORB logic.
[b>Special Contexts: [/b>
[b>Breakout Bar (Darkest Green/Red): [/b>
The specific bar where breakout occurs gets maximum color intensity regardless of distance. This highlights the pivotal moment.
[b>Failed Breakout Bar (Orange/Warning): [/b>
When failed breakout is confirmed, that bar gets orange/warning color. Visual alert: "reversal opportunity here."
[b>Near Extension (Cyan/Magenta Tint): [/b>
When price is within 0.5 ATR of an extension level, candle gets tinted cyan (bull) or magenta (bear). Indicates "target approaching—prepare to take profit."
[b>Why Visual Context? [/b>
Traditional indicators show lines. ORB Fusion shows [b>context-aware momentum [/b>. Glance at chart:
• Lots of blue? Consolidation day (fade extremes).
• Progressive green? Trend day (follow).
• Green then orange? Failed breakout (reversal setup).
This visual language communicates market state instantly—no interpretation needed.
🎯 TRADE SETUP GENERATION & GRADING [/b>
[b>Algorithmic Setup Detection: [/b>
ORB Fusion continuously evaluates market state and generates current best trade setup with:
• Action (LONG / SHORT / FADE HIGH / FADE LOW / WAIT)
• Entry price
• Stop loss
• Three targets
• Risk:Reward ratio
• Confidence score (0-100)
• Grade (A+ to D)
[b>Setup Types: [/b>
[b>1. ORB LONG (Bullish Breakout): [/b>
[b>Trigger: [/b>
• Bullish ORB breakout confirmed
• Not failed
[b>Parameters:
• Entry: Current close
• Stop: ORB mid (protects against failure)
• T1: ORB High + 0.5x range (1.5x extension)
• T2: ORB High + 1.0x range (2.0x extension)
• T3: ORB High + 1.618x range (2.618x extension)
[b>Confidence Scoring:
[b>Trigger: [/b>
• Bearish breakout occurred
• Failed (returned inside ORB)
[b>Parameters: [/b>
• Entry: Close when failure confirmed
• Stop: Extreme low since breakout + 0.10 ATR
• T1: ORB Low + 0.5x range
• T2: ORB Low + 1.0x range (ORB mid)
• T3: ORB Low + 1.5x range
[b>Confidence Scoring:
[b>Trigger:
• Inside ORB
• Close > ORB mid (near high)
[b>Parameters: [/b>
• Entry: ORB High (limit order)
• Stop: ORB High + 0.2x range
• T1: ORB Mid
• T2: ORB Low
[b>Confidence Scoring: [/b>
Base: 40 points (lower base—range fading is lower probability than breakout/reversal)
[b>Use Case: [/b> Rotation days. Not recommended on normal/trend days.
[b>6. FADE LOW (Range Trade):
Mirror of FADE HIGH.
[b>7. WAIT:
[b>Trigger: [/b>
• ORB not complete yet OR
• No clear setup (price in no-man's-land)
[b>Action: [/b> Observe, don't trade.
[b>Confidence: [/b> 0 points
[b>Grading System:
```
Confidence → Grade
85-100 → A+
75-84 → A
65-74 → B+
55-64 → B
45-54 → C
0-44 → D
```
[b>Grade Interpretation: [/b>
• [b>A+ / A: High probability setup. Take these trades.
• [b>B+ / B [/b>: Decent setup. Trade if fits system rules.
• [b>C [/b>: Marginal setup. Only if very experienced.
• [b>D [/b>: Poor setup or no setup. Don't trade.
[b>Example Scenario: [/b>
ES futures:
• ORB: 5842-5850 (8 point range)
• Bullish breakout to 5851 confirmed
• Volume: 2.0x average (confirmed)
• VWAP: 5845 (price above VWAP ✓)
• Day type: Developing (too early, no bonus)
• Gap: None
[b>Setup: [/b>
• Action: LONG
• Entry: 5851
• Stop: 5846 (ORB mid, -5 point risk)
• T1: 5854 (+3 points, 1:0.6 R:R)
• T2: 5858 (+7 points, 1:1.4 R:R)
• T3: 5862.94 (+11.94 points, 1:2.4 R:R)
[b>Confidence: LONG with 55% confidence.
Interpretation: Solid setup, not perfect. Trade it if your system allows B-grade signals.
[b>📊 STATISTICS TRACKING & PERFORMANCE ANALYSIS [/b>
[b>Real-Time Performance Metrics: [/b>
ORB Fusion tracks comprehensive statistics over user-defined lookback (default 50 days):
[b>Breakout Performance: [/b>
• [b>Bull Breakouts: [/b> Total count, wins, losses, win rate
• [b>Bear Breakouts: [/b> Total count, wins, losses, win rate
[b>Win Definition: [/b> Breakout reaches ≥1.0x extension (doubles the opening range) before end of day.
[b>Example: [/b>
• ORB: 5842-5850 (8 points)
• Bull breakout at 5851
• Reaches 5858 (1.0x extension) by close
• Result: WIN
[b>Failed Breakout Performance: [/b>
• [b>Total Failed Breakouts [/b>: Count of breakouts that failed
• [b>Reversal Wins [/b>: Count where reversal trade reached target
• [b>Failed Reversal Win Rate [/b>: Wins / Total Failed
[b>Win Definition for Reversals: [/b>
• Failed bull → reversal short reaches ORB mid
• Failed bear → reversal long reaches ORB mid
[b>Extension Tracking: [/b>
• [b>Average Extension Reached [/b>: Mean of maximum extension achieved across all breakout days
• [b>Max Extension Overall [/b>: Largest extension ever achieved in lookback period
[b>Example: 🎨 THREE DISPLAY MODES
[b>Design Philosophy: [/b>
Not all traders need all features. Beginners want simplicity. Professionals want everything. ORB Fusion adapts.
[b>SIMPLE MODE: [/b>
[b>Shows: [/b>
• Primary ORB levels (High, Mid, Low)
• ORB box
• Breakout signals (triangles)
• Failed breakout signals (crosses)
• Basic dashboard (ORB status, breakout status, setup)
• VWAP
[b>Hides: [/b>
• Session ORBs (Asian, London, NY)
• IB levels and extensions
• ORB extensions beyond basic levels
• Gap analysis visuals
• Statistics dashboard
• Momentum candle coloring
• Narrative dashboard
[b>Use Case: [/b>
• Traders who want clean chart
• Focus on core ORB concept only
• Mobile trading (less screen space)
[b>STANDARD MODE:
[b>Shows Everything in Simple Plus: [/b>
• Session ORBs (Asian, London, NY)
• IB levels (high, low, mid)
• IB extensions
• ORB extensions (1.272x, 1.5x, 1.618x, 2.0x)
• Gap analysis and fill targets
• VWAP bands (1σ and 2σ)
• Momentum candle coloring
• Context section in dashboard
• Narrative dashboard
[b>Hides: [/b>
• Advanced extensions (2.618x, 3.0x)
• Detailed statistics dashboard
[b>Use Case: [/b>
• Most traders
• Balance between information and clarity
• Covers 90% of use cases
[b>ADVANCED MODE:
[b>Shows Everything:
• All session ORBs
• All IB levels and extensions
• All ORB extensions (including 2.618x and 3.0x)
• Full gap analysis
• VWAP with both 1σ and 2σ bands
• Momentum candle coloring
• Complete statistics dashboard
• Narrative dashboard
• All context metrics
[b>Use Case: [/b>
• Professional traders
• System developers
• Those who want maximum information density
[b>Switching Modes: [/b>
Single dropdown input: "Display Mode" → Simple / Standard / Advanced
Entire indicator adapts instantly. No need to toggle 20 individual settings.
📖 NARRATIVE DASHBOARD
[b>Innovation: Plain-English Market State [/b>
Most indicators show data. ORB Fusion explains what the data [b>means [/b>.
[b>Narrative Components: [/b>
[b>1. Phase: [/b>
• "📍 Building ORB..." (during ORB session)
• "📊 Trading Phase" (after ORB complete)
• "⏳ Pre-Market" (before ORB session)
[b>2. Status (Current Observation): [/b>
• "⚠️ Failed breakout - reversal likely"
• "🚀 Bullish momentum in play"
• "📉 Bearish momentum in play"
• "⚖️ Consolidating in range"
• "👀 Monitoring for setup"
[b>3. Next Level:
Tells you what to watch for:
• "🎯 1.5x @ 5854.00" (next extension target)
• "Watch ORB levels" (inside range, await breakout)
[b>4. Setup: [/b>
Current trade setup + grade:
• "LONG " (bullish breakout, A-grade)
• "🔥 SHORT REVERSAL " (failed bull breakout, A+-grade)
• "WAIT " (no setup)
[b>5. Reason: [/b>
Why this setup exists:
• "ORB Bullish Breakout"
• "Failed Bear Breakout - High Probability Reversal"
• "Range Fade - Near High"
[b>6. Tip (Market Insight):
Contextual advice:
• "🔥 TREND DAY - Trail stops" (day type is trending)
• "🔄 ROTATION - Fade extremes" (day type is rotating)
• "📊 Gap unfilled - magnet level" (gap creates target)
• "📈 Normal conditions" (no special context)
[b>Example Narrative:
```
📖 ORB Narrative
━━━━━━━━━━━━━━━━
Phase | 📊 Trading Phase
Status | 🚀 Bullish momentum in play
Next | 🎯 1.5x @ 5854.00
📈 Setup | LONG
Reason | ORB Bullish Breakout
💡 Tip | 🔥 TREND DAY - Trail stops
```
[b>Glance Interpretation: [/b>
"We're in trading phase. Bullish breakout happened (momentum in play). Next target is 1.5x extension at 5854. Current setup is LONG with A-grade. It's a trend day, so trail stops (don't take early profits)."
Complete market state communicated in 6 lines. No interpretation needed.
[b>Why This Matters:
Beginner traders struggle with "So what?" question. Indicators show lines and signals, but what does it mean [/b>? Narrative dashboard bridges this gap.
Professional traders benefit too—rapid context assessment during fast-moving markets. No time to analyze; glance at narrative, get action plan.
🔔 INTELLIGENT ALERT SYSTEM
[b>Four Alert Types: [/b>
[b>1. Breakout Alert: [/b>
[b>Trigger: [/b> ORB breakout confirmed (bull or bear)
[b>Message: [/b>
```
🚀 ORB BULLISH BREAKOUT
Price: 5851.00
Volume Confirmed
Grade: A
```
[b>Frequency: [/b> Once per bar (prevents spam)
[b>2. Failed Breakout Alert: [/b>
[b>Trigger: [/b> Breakout fails, reversal setup generated
[b>Message: [/b>
```
🔥 FAILED BULLISH BREAKOUT!
HIGH PROBABILITY SHORT REVERSAL
Entry: 5848.00
Stop: 5854.00
T1: 5846.00
T2: 5842.00
Historical Win Rate: 73%
```
[b>Why Comprehensive? [/b> Failed breakout alerts include complete trade plan. You can execute immediately from alert—no need to check chart.
[b>3. Extension Alert:
[b>Trigger: [/b> Price reaches extension level for first time
[b>Message: [/b>
```
🎯 Bull Extension 1.5x reached @ 5854.00
```
[b>Use: [/b> Profit-taking reminder. When extension hit, consider scaling out.
[b>4. IB Break Alert: [/b>
[b>Trigger: [/b> Price breaks above IB high or below IB low
[b>Message: [/b>
```
📊 IB HIGH BROKEN - Potential Trend Day
```
[b>Use: [/b> Day type classification. IB break suggests trend day developing—adjust strategy to trend-following mode.
[b>Alert Management: [/b>
Each alert type can be enabled/disabled independently. Prevents notification overload.
[b>Cooldown Logic: [/b>
Alerts won't fire if same alert type triggered within last bar. Prevents:
• "Breakout" alert every tick during choppy breakout
• Multiple "extension" alerts if price oscillates at level
Ensures: One clean alert per event.
⚙️ KEY PARAMETERS EXPLAINED
[b>Opening Range Settings: [/b>
• [b>ORB Timeframe [/b> (5/15/30/60 min): Duration of opening range window
- 30 min recommended for most traders
• [b>Use RTH Only [/b> (ON/OFF): Only trade during regular trading hours
- ON recommended (avoids thin overnight markets)
• [b>Use LTF Precision [/b> (ON/OFF): Sample 1-minute bars for accuracy
- ON recommended (critical for charts >1 minute)
• [b>Precision TF [/b> (1/5 min): Timeframe for LTF sampling
- 1 min recommended (most accurate)
[b>Session ORBs: [/b>
• [b>Show Asian/London/NY ORB [/b> (ON/OFF): Display multi-session ranges
- OFF in Simple mode
- ON in Standard/Advanced if trading 24hr markets
• [b>Session Windows [/b>: Time ranges for each session ORB
- Defaults align with major session opens
[b>Initial Balance: [/b>
• [b>Show IB [/b> (ON/OFF): Display Initial Balance levels
- ON recommended for day type classification
• [b>IB Session Window [/b> (0930-1030): First hour of trading
- Default is standard for US equities
• [b>Show IB Extensions [/b> (ON/OFF): Project IB extension targets
- ON recommended (identifies trend days)
• [b>IB Extensions 1-4 [/b> (0.5x, 1.0x, 1.5x, 2.0x): Extension multipliers
- Defaults are Market Profile standard
[b>ORB Extensions: [/b>
• [b>Show Extensions [/b> (ON/OFF): Project ORB extension targets
- ON recommended (defines profit targets)
• [b>Enable Individual Extensions [/b> (1.272x, 1.5x, 1.618x, 2.0x, 2.618x, 3.0x)
- Enable 1.272x, 1.5x, 1.618x, 2.0x minimum
- Disable 2.618x and 3.0x unless trading very volatile instruments
[b>Breakout Detection:
• [b>Confirmation Method [/b> (Close/Wick/Body):
- Close recommended (best balance)
- Wick for scalping
- Body for conservative
• [b>Require Volume Confirmation [/b> (ON/OFF):
- ON recommended (increases reliability)
• [b>Volume Multiplier [/b> (1.0-3.0):
- 1.5x recommended
- Lower for thin instruments
- Higher for heavy volume instruments
[b>Failed Breakout System: [/b>
• [b>Enable Failed Breakouts [/b> (ON/OFF):
- ON strongly recommended (highest edge)
• [b>Bars to Confirm Failure [/b> (2-10):
- 3 bars recommended
- 2 for aggressive (more signals, more false failures)
- 5+ for conservative (fewer signals, higher quality)
• [b>Failure Buffer [/b> (0.0-0.5 ATR):
- 0.1 ATR recommended
- Filters noise during consolidation near ORB level
• [b>Show Reversal Targets [/b> (ON/OFF):
- ON recommended (visualizes trade plan)
• [b>Reversal Target Mults [/b> (0.5x, 1.0x, 1.5x):
- Defaults are tested values
- Adjust based on average daily range
[b>Gap Analysis:
• [b>Show Gap Analysis [/b> (ON/OFF):
- ON if trading instruments that gap frequently
- OFF for 24hr markets (forex, crypto—no gaps)
• [b>Gap Fill Target [/b> (ON/OFF):
- ON to visualize previous close (gap fill level)
[b>VWAP:
• [b>Show VWAP [/b> (ON/OFF):
- ON recommended (key institutional level)
• [b>Show VWAP Bands [/b> (ON/OFF):
- ON in Standard/Advanced
- OFF in Simple
• [b>Band Multipliers (1.0σ, 2.0σ):
- Defaults are standard
- 1σ = normal range, 2σ = extreme
[b>Day Type: [/b>
• [b>Show Day Type Analysis [/b> (ON/OFF):
- ON recommended (critical for strategy adaptation)
• [b>Trend Day Threshold [/b> (1.0-2.5 IB mult):
- 1.5x recommended
- When price extends >1.5x IB, classifies as Trend Day
[b>Enhanced Visuals:
• [b>Show Momentum Candles [/b> (ON/OFF):
- ON for visual context
- OFF if chart gets too colorful
• [b>Show Gradient Zone Fills [/b> (ON/OFF):
- ON for professional look
- OFF for minimalist chart
• [b>Label Display Mode [/b> (All/Adaptive/Minimal):
- Adaptive recommended (shows nearby labels only)
- All for information density
- Minimal for clean chart
• [b>Label Proximity [/b> (1.0-5.0 ATR):
- 3.0 ATR recommended
- Labels beyond this distance are hidden (Adaptive mode)
[b>🎓 PROFESSIONAL USAGE PROTOCOL [/b>
[b>Phase 1: Learning the System (Week 1) [/b>
[b>Goal: [/b> Understand ORB concepts and dashboard interpretation
[b>Setup: [/b>
• Display Mode: STANDARD
• ORB Timeframe: 30 minutes
• Enable ALL features (IB, extensions, failed breakouts, VWAP, gap analysis)
• Enable statistics tracking
[b>Actions: [/b>
• Paper trade ONLY—no real money
• Observe ORB formation every day (9:30-10:00 AM ET for US markets)
• Note when ORB breakouts occur and if they extend
• Note when breakouts fail and reversals happen
• Watch day type classification evolve during session
• Track statistics—which setups are working?
[b>Key Learning: [/b>
• How often do breakouts reach 1.5x extension? (typically 50-60% of confirmed breakouts)
• How often do breakouts fail? (typically 30-40%)
• Which setup grade (A/B/C) actually performs best? (should see A-grade outperforming)
• What day type produces best results? (trend days favor breakouts, rotation days favor fades)
[b>Phase 2: Parameter Optimization (Week 2) [/b>
[b>Goal: [/b> Tune system to your instrument and timeframe
[b>ORB Timeframe Selection:
• Run 5 days with 15-minute ORB
• Run 5 days with 30-minute ORB
• Compare: Which captures better breakouts on your instrument?
• Typically: 30-minute optimal for most, 15-minute for very liquid (ES, SPY)
[b>Volume Confirmation Testing:
• Run 5 days WITH volume confirmation
• Run 5 days WITHOUT volume confirmation
• Compare: Does volume confirmation increase win rate?
• If win rate improves by >5%: Keep volume confirmation ON
• If no improvement: Turn OFF (avoid missing valid breakouts)
[b>Failed Breakout Bars:
[b>Goal: [/b> Develop personal trading rules based on system signals
[b>Setup Selection Rules: [/b>
Define which setups you'll trade:
• [b>Conservative: [/b> Only A+ and A grades
• [b>Balanced: [/b> A+, A, B+ grades
• [b>Aggressive: [/b> All grades B and above
Test each approach for 5-10 trades, compare results.
[b>Position Sizing by Grade: [/b>
Consider risk-weighting by setup quality:
• A+ grade: 100% position size
• A grade: 75% position size
• B+ grade: 50% position size
• B grade: 25% position size
Example: If max risk is $1000/trade:
• A+ setup: Risk $1000
• A setup: Risk $750
• B+ setup: Risk $500
This matches bet sizing to edge.
[b>Day Type Adaptation: [/b>
Create rules for different day types:
Trend Days:
• Take ALL breakout signals (A/B/C grades)
• Hold for 2.0x extension minimum
• Trail stops aggressively (1.0 ATR trail)
• DON'T fade—reversals unlikely
Rotation Days:
• ONLY take failed breakout reversals
• Ignore initial breakout signals (likely to fail)
• Take profits quickly (0.5x extension)
• Focus on fade setups (Fade High/Fade Low)
Normal Days:
• Take A/A+ breakout signals only
• Take ALL failed breakout reversals (high probability)
• Target 1.0-1.5x extensions
• Partial profit-taking at extensions
Time-of-Day Rules: [/b>
Breakouts at different times have different probabilities:
10:00-10:30 AM (Early Breakout):
• ORB just completed
• Fresh breakout
• Probability: Moderate (50-55% reach 1.0x)
• Strategy: Conservative position sizing
10:30-12:00 PM (Mid-Morning):
• Momentum established
• Volume still healthy
• Probability: High (60-65% reach 1.0x)
• Strategy: Standard position sizing
12:00-2:00 PM (Lunch Doldrums):
• Volume dries up
• Whipsaw risk increases
• Probability: Low (40-45% reach 1.0x)
• Strategy: Avoid new entries OR reduce size 50%
2:00-4:00 PM (Afternoon Session):
• Late-day positioning
• EOD squeezes possible
• Probability: Moderate-High (55-60%)
• Strategy: Watch for IB break—if trending all day, follow
[b>Phase 4: Live Micro-Sizing (Month 2) [/b>
[b>Goal: [/b> Validate paper trading results with minimal risk
[b>Setup: [/b>
• 10-20% of intended full position size
• Take ONLY A+ and A grade setups
• Follow stop loss and targets religiously
[b>Execution: [/b>
• Execute from alerts OR from dashboard setup box
• Entry: Close of signal bar OR next bar market order
• Stop: Use exact stop from setup (don't widen)
• Targets: Scale out at T1/T2/T3 as indicated
[b>Tracking: [/b>
• Log every trade: Entry, Exit, Grade, Outcome, Day Type
• Calculate: Win rate, Average R-multiple, Max consecutive losses
• Compare to paper trading results (should be within 15%)
[b>Red Flags: [/b>
• Win rate <45%: System not suitable for this instrument/timeframe
• Major divergence from paper trading: Execution issues (slippage, late entries, emotional exits)
• Max consecutive losses >8: Hitting rough patch OR market regime changed
[b>Phase 5: Scaling Up (Months 3-6)
[b>Goal: [/b> Gradually increase to full position size
[b>Progression: [/b>
• Month 3: 25-40% size (if micro-sizing profitable)
• Month 4: 40-60% size
• Month 5: 60-80% size
• Month 6: 80-100% size
[b>Milestones Required to Scale Up: [/b>
• Minimum 30 trades at current size
• Win rate ≥48%
• Profit factor ≥1.2
• Max drawdown <20%
• Emotional control (no revenge trading, no FOMO)
[b>Advanced Techniques:
[b>Multi-Timeframe ORB: Assumes first 30-60 minutes establish value. Violation: Market opens after major news, price discovery continues for hours (opening range meaningless).
2. [b>Volume Indicates Conviction: ES, NQ, RTY, SPY, QQQ—high liquidity, clean ORB formation, reliable extensions
• [b>Large-Cap Stocks: AAPL, MSFT, TSLA, NVDA (>$5B market cap, >5M daily volume)
• [b>Liquid Futures: CL (crude oil), GC (gold), 6E (EUR/USD), ZB (bonds)—24hr markets benefit from session ORBs
• [b>Major Forex Pairs: [/b> EUR/USD, GBP/USD, USD/JPY—London/NY session ORBs work well
[b>Performs Poorly On: [/b>
• [b>Illiquid Stocks: <$1M daily volume, wide spreads, gappy price action
• [b>Penny Stocks: [/b> Manipulated, pump-and-dump, no real price discovery
• [b>Low-Volume ETFs: Exotic sector ETFs, leveraged products with thin volume
• [b>Crypto on Sketchy Exchanges: Wash trading, spoofing invalidates volume analysis
• [b>Earnings Days: [/b> ORB completes before earnings release, then completely resets (useless)
• Binary Event Days: FDA approvals, court rulings—discontinuous price action
[b>Known Weaknesses: [/b>
• [b>Slow Starts: ORB doesn't complete until 10:00 AM (30-min ORB). Early morning traders have no signals for 30 minutes. Consider using 15-minute ORB if this is problematic.
• [b>Failure Detection Lag: [/b> Failed breakout requires 3+ bars to confirm. By the time system signals reversal, price may have already moved significantly back inside range. Manual traders watching in real-time can enter earlier.
• [b>Extension Overshoot: [/b> System projects extensions mathematically (1.5x, 2.0x, etc.). Actual moves may stop short (1.3x) or overshoot (2.2x). Extensions are targets, not magnets.
• [b>Day Type Misclassification: [/b> Early in session, day type is "Developing." By the time it's classified definitively (often 11:00 AM+), half the day is over. Strategy adjustments happen late.
• [b>Gap Assumptions: [/b> System assumes gaps want to fill. Strong trend days never fill gaps (gap becomes support/resistance forever). Blindly trading toward gaps can backfire on trend days.
• [b>Volume Data Quality: Forex doesn't have centralized volume (uses tick volume as proxy—less reliable). Crypto volume is often fake (wash trading). Volume confirmation less effective on these instruments.
• [b>Multi-Session Complexity: [/b> When using Asian/London/NY ORBs simultaneously, chart becomes cluttered. Requires discipline to focus on relevant session for current time.
[b>Risk Factors: [/b>
• [b>Opening Gaps: Large gaps (>2%) can create distorted ORBs. Opening range might be unusually wide or narrow, making extensions unreliable.
• [b>Low Volatility Environments:[/b> When VIX <12, opening ranges can be tiny (0.2-0.3%). Extensions are equally tiny. Profit targets don't justify commission/slippage.
• [b>High Volatility Environments:[/b> When VIX >30, opening ranges are huge (2-3%+). Extensions project unrealistic targets. Failed breakouts happen faster (volatility whipsaw).
• [b>Algorithm Dominance:[/b> In heavily algorithmic markets (ES during overnight session), ORB levels can be manipulated—algos pin price to ORB high/low intentionally. Breakouts become stop-runs rather than genuine directional moves.
[b>⚠️ RISK DISCLOSURE[/b>
Trading futures, stocks, options, forex, and cryptocurrencies involves substantial risk of loss and is not suitable for all investors. Opening Range Breakout strategies, while based on sound market structure principles, do not guarantee profits and can result in significant losses.
The ORB Fusion indicator implements professional trading concepts including Opening Range theory, Market Profile Initial Balance analysis, Fibonacci extensions, and failed breakout reversal logic. These methodologies have theoretical foundations but past performance—whether backtested or live—is not indicative of future results.
Opening Range theory assumes the first 30-60 minutes of trading establish a meaningful value area and that breakouts from this range signal directional conviction. This assumption may not hold during:
• Major news events (FOMC, NFP, earnings surprises)
• Market structure changes (circuit breakers, trading halts)
• Low liquidity periods (holidays, early closures)
• Algorithmic manipulation or spoofing
Failed breakout detection relies on patterns of trapped participant behavior. While historically these patterns have shown statistical edges, market conditions change. Institutional algorithms, changing market structure, or regime shifts can reduce or eliminate edges that existed historically.
Initial Balance classification (trend day vs rotation day vs normal day) is a heuristic framework, not a deterministic prediction. Day type can change mid-session. Early classification may prove incorrect as the day develops.
Extension projections (1.272x, 1.5x, 1.618x, 2.0x, etc.) are probabilistic targets derived from Fibonacci ratios and empirical market behavior. They are not "support and resistance levels" that price must reach or respect. Markets can stop short of extensions, overshoot them, or ignore them entirely.
Volume confirmation assumes high volume indicates institutional participation and conviction. In algorithmic markets, volume can be artificially high (HFT activity) or artificially low (dark pools, internalization). Volume is a proxy, not a guarantee of conviction.
LTF precision sampling improves ORB accuracy by using 1-minute bars but introduces additional data dependencies. If 1-minute data is unavailable, inaccurate, or delayed, ORB calculations will be incorrect.
The grading system (A+/A/B+/B/C/D) and confidence scores aggregate multiple factors (volume, VWAP, day type, IB expansion, gap context) into a single assessment. This is a mechanical calculation, not artificial intelligence. The system cannot adapt to unprecedented market conditions or events outside its programmed logic.
Real trading involves slippage, commissions, latency, partial fills, and rejected orders not present in indicator calculations. ORB Fusion generates signals at bar close; actual fills occur with delay. Opening range forms during highest volatility (first 30 minutes)—spreads widen, slippage increases. Execution quality significantly impacts realized results.
Statistics tracking (win rates, extension levels reached, day type distribution) is based on historical bars in your lookback window. If lookback is small (<50 bars) or market regime changed, statistics may not represent future probabilities.
Users must independently validate system performance on their specific instruments, timeframes, and broker execution environment. Paper trade extensively (100+ trades minimum) before risking capital. Start with micro position sizing (5-10% of intended size) for 50+ trades to validate execution quality matches expectations.
Never risk more than you can afford to lose completely. Use proper position sizing (0.5-2% risk per trade maximum). Implement stop losses on every single trade without exception. Understand that most retail traders lose money—sophisticated indicators do not change this fundamental reality. They systematize analysis but cannot eliminate risk.
The developer makes no warranties regarding profitability, suitability, accuracy, reliability, or fitness for any purpose. Users assume full responsibility for all trading decisions, parameter selections, risk management, and outcomes.
By using this indicator, you acknowledge that you have read, understood, and accepted these risk disclosures and limitations, and you accept full responsibility for all trading activity and potential losses.
[b>═══════════════════════════════════════════════════════════════════════════════[/b>
[b>CLOSING STATEMENT[/b>
[b>═══════════════════════════════════════════════════════════════════════════════[/b>
Opening Range Breakout is not a trick. It's a framework. The first 30-60 minutes reveal where participants believe value lies. Breakouts signal directional conviction. Failures signal trapped participants. Extensions define profit targets. Day types dictate strategy. Failed breakouts create the highest-probability reversals.
ORB Fusion doesn't predict the future—it identifies [b>structure[/b>, detects [b>breakouts[/b>, recognizes [b>failures[/b>, and generates [b>probabilistic trade plans[/b> with defined risk and reward.
The edge is not in the opening range itself. The edge is in recognizing when the market respects structure (follow breakouts) versus when it violates structure (fade breakouts). The edge is in detecting failures faster than discretionary traders. The edge is in systematic classification that prevents catastrophic errors—like fading a trend day or holding through rotation.
Most indicators draw lines. ORB Fusion implements a complete institutional trading methodology: Opening Range theory, Market Profile classification, failed breakout intelligence, Fibonacci projections, volume confirmation, gap psychology, and real-time performance tracking.
Whether you're a beginner learning market structure or a professional seeking systematic ORB implementation, this system provides the framework.
"The market's first word is its opening range. Everything after is commentary." — ORB Fusion
ULTIMATE ORDER FLOW SYSTEM🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines **Volume Profile**, **Cumulative Delta**, and **Large Order Detection** to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
📊 Core Components & Methodology
🔥 ULTIMATE ORDER FLOW SYSTEM
Overview
This comprehensive order flow analysis tool combines Volume Profile, Cumulative Delta, and Large Order Detection to identify high-probability trading setups. The script analyzes institutional order flow patterns and volume distribution to pinpoint key levels where price is likely to react.
________________________________________
📊 Core Components & Methodology
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
• Dividing the price range into configurable rows (default: 20)
• Accumulating volume at each price level over a lookback period (default: 50 bars)
• Separating buy volume (green bars close > open) from sell volume (red bars)
• Identifying three critical levels:
o POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
o VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
o HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
o LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
________________________________________
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
• Bar Delta: Difference between buy and sell volume per candle
• Cumulative Delta: Sum of all bar deltas - shows net directional pressure
• Delta Moving Average: Smoothed delta (20-period) to identify trend
• Delta Divergences:
o Bullish: Price makes lower low, but delta makes higher low (absorption at bottom)
o Bearish: Price makes higher high, but delta makes lower high (exhaustion at top)
How It Works: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
________________________________________
3. Large Order Detection
Identifies institutional-sized orders in real-time:
• Compares current bar volume to 20-period moving average
• Flags orders exceeding 2.5x average volume (configurable multiplier)
• Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
Rationale: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
________________________________________
🎯 Trading Signal Logic
Combined Setup Criteria
The script generates SHORT and LONG signals when multiple conditions align:
SHORT Signal Requirements:
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
LONG Signal Requirements:
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
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🔧 Customization Options
Setting - Purpose - Recommendation
Volume Profile Rows - Granularity of level detection - 20 (balanced)
Lookback Period - Historical data analyzed - 50 bars (intraday), 200 (swing)
Large Order Multiplier - Sensitivity to volume spikes - 2.5x (standard), 3.5x (conservative)
HVN Threshold - Resistance zone detection - 1.3 (default)
LVN Threshold - Target zone identification - 0.6 (default)
Divergence Lookback - Pivot detection period - 5 bars (responsive)
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📈 Dashboard Indicators
The real-time panel displays:
• POC: Current Point of Control price
• Location: Whether price is at HVN resistance
• Orders: Current large buy/sell activity
• Cumulative Δ: Net order flow value + trend direction
• Divergence: Active bullish/bearish divergences
• Bar Strength: % of candle volume that's directional (>65% = strong)
• SETUP: Current trade signal (LONG/SHORT/WAIT)
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🎨 Visual System
• Yellow POC Line: Highest volume level - primary pivot
• Blue Value Area Box: Fair value zone (VAH to VAL)
• Red HVN Zones: Resistance/support from institutional accumulation
• Green LVN Zones: Low-liquidity targets for quick moves
• Volume Bars: Green (buy pressure) vs Red (sell pressure) distribution
• Triangles: LONG (green up) and SHORT (red down) entry signals
• Diamonds: Divergence warnings (cyan=bullish, fuchsia=bearish)
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💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. Synthesizes three complementary methods - volume structure, order flow momentum, and liquidity detection
2. Requires multi-factor confirmation - signals only trigger when price, volume, and delta align at key zones
3. Adapts to market regime - delta filters ensure you're trading with the dominant order flow direction
4. Provides context, not just signals - the dashboard helps you understand why a setup is forming
________________________________________
⚙️ Best Practices
Timeframes:
• 5-15 min: Scalping (use 30-50 bar lookback)
• 1-4 hour: Swing trading (use 100-200 bar lookback)
Risk Management:
• Enter on signal candle close
• Stop loss: Beyond nearest HVN/LVN zone
• Target 1: Next LVN level
• Target 2: Opposite value area boundary
Filters:
• Avoid signals during major news events
• Require bar delta strength >65% for aggressive entries
• Wait for delta MA cross confirmation in ranging markets
________________________________________
🚨 Alerts Available
• Long Setup Trigger
• Short Setup Trigger
• Bullish/Bearish Divergence Detection
• Large Buy/Sell Order Execution
________________________________________
📚 Educational Context
This methodology is based on principles used by professional order flow traders:
• Market Profile Theory: Volume distribution reveals fair value
• Tape Reading: Large orders show institutional intent
• Auction Theory: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
________________________________________
⚠️ Disclaimer
This indicator is a trading tool, not a trading system. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
________________________________________
Version: 6 (Pine Script)
Type: Overlay + Separate Pane (Delta Panel)
Resource Usage: Moderate (500 bars history, 500 lines/boxes)
________________________________________
For questions or support, please comment below. If you find this script valuable, please boost and favorite! 🚀
1. Volume Profile Analysis
The script constructs a horizontal volume profile by:
- Dividing the price range into configurable rows (default: 20)
- Accumulating volume at each price level over a lookback period (default: 50 bars)
- Separating buy volume (green bars close > open) from sell volume (red bars)
- Identifying three critical levels:
- POC (Point of Control): Price level with highest traded volume - acts as a strong magnet
- VAH/VAL (Value Area High/Low): Contains 70% of total volume - defines fair value zone
- HVN (High Volume Nodes): Resistance zones where institutions accumulated positions
- LVN (Low Volume Nodes): Thin zones that price moves through quickly - ideal targets
Why This Matters: Institutional traders leave footprints through volume. HVN zones show where large players defended levels, making them reliable support/resistance.
---
2. Cumulative Delta (Order Flow)
Tracks the running total of buying vs selling pressure:
- **Bar Delta**: Difference between buy and sell volume per candle
- **Cumulative Delta**: Sum of all bar deltas - shows net directional pressure
- **Delta Moving Average**: Smoothed delta (20-period) to identify trend
- **Delta Divergences**:
- **Bullish**: Price makes lower low, but delta makes higher low (absorption at bottom)
- **Bearish**: Price makes higher high, but delta makes lower high (exhaustion at top)
**How It Works**: When cumulative delta trends up while price consolidates, it signals accumulation. Delta divergences reveal when smart money is positioned opposite to retail expectations.
---
### 3. **Large Order Detection**
Identifies **institutional-sized orders** in real-time:
- Compares current bar volume to 20-period moving average
- Flags orders exceeding 2.5x average volume (configurable multiplier)
- Distinguishes bullish (green circles below) vs bearish (red circles above) large orders
**Rationale**: Sudden volume spikes at key levels indicate institutional participation - the "fuel" needed for breakouts or reversals.
---
## 🎯 Trading Signal Logic
### Combined Setup Criteria
The script generates **SHORT** and **LONG** signals when multiple conditions align:
**SHORT Signal Requirements:**
1. Price reaches an HVN resistance zone (within 0.2%)
2. Large sell order detected (volume spike + red candle)
3. Cumulative delta is bearish OR bearish divergence present
4. 10-bar cooldown between signals (prevents overtrading)
**LONG Signal Requirements:**
1. Price reaches an HVN support zone
2. Large buy order detected (volume spike + green candle)
3. Cumulative delta is bullish OR bullish divergence present
4. 10-bar cooldown enforced
---
## 🔧 Customization Options
| Setting | Purpose | Recommendation |
|---------|---------|----------------|
| **Volume Profile Rows** | Granularity of level detection | 20 (balanced) |
| **Lookback Period** | Historical data analyzed | 50 bars (intraday), 200 (swing) |
| **Large Order Multiplier** | Sensitivity to volume spikes | 2.5x (standard), 3.5x (conservative) |
| **HVN Threshold** | Resistance zone detection | 1.3 (default) |
| **LVN Threshold** | Target zone identification | 0.6 (default) |
| **Divergence Lookback** | Pivot detection period | 5 bars (responsive) |
---
## 📈 Dashboard Indicators
The real-time panel displays:
- **POC**: Current Point of Control price
- **Location**: Whether price is at HVN resistance
- **Orders**: Current large buy/sell activity
- **Cumulative Δ**: Net order flow value + trend direction
- **Divergence**: Active bullish/bearish divergences
- **Bar Strength**: % of candle volume that's directional (>65% = strong)
- **SETUP**: Current trade signal (LONG/SHORT/WAIT)
---
## 🎨 Visual System
- **Yellow POC Line**: Highest volume level - primary pivot
- **Blue Value Area Box**: Fair value zone (VAH to VAL)
- **Red HVN Zones**: Resistance/support from institutional accumulation
- **Green LVN Zones**: Low-liquidity targets for quick moves
- **Volume Bars**: Green (buy pressure) vs Red (sell pressure) distribution
- **Triangles**: LONG (green up) and SHORT (red down) entry signals
- **Diamonds**: Divergence warnings (cyan=bullish, fuchsia=bearish)
---
## 💡 How This Script Is Unique
Unlike standalone volume profile or delta indicators, this script:
1. **Synthesizes three complementary methods** - volume structure, order flow momentum, and liquidity detection
2. **Requires multi-factor confirmation** - signals only trigger when price, volume, and delta align at key zones
3. **Adapts to market regime** - delta filters ensure you're trading with the dominant order flow direction
4. **Provides context, not just signals** - the dashboard helps you understand *why* a setup is forming
---
## ⚙️ Best Practices
**Timeframes:**
- 5-15 min: Scalping (use 30-50 bar lookback)
- 1-4 hour: Swing trading (use 100-200 bar lookback)
**Risk Management:**
- Enter on signal candle close
- Stop loss: Beyond nearest HVN/LVN zone
- Target 1: Next LVN level
- Target 2: Opposite value area boundary
**Filters:**
- Avoid signals during major news events
- Require bar delta strength >65% for aggressive entries
- Wait for delta MA cross confirmation in ranging markets
---
## 🚨 Alerts Available
- Long Setup Trigger
- Short Setup Trigger
- Bullish/Bearish Divergence Detection
- Large Buy/Sell Order Execution
---
## 📚 Educational Context
This methodology is based on principles used by professional order flow traders:
- **Market Profile Theory**: Volume distribution reveals fair value
- **Tape Reading**: Large orders show institutional intent
- **Auction Theory**: Price seeks areas of liquidity imbalance (LVN zones)
The script automates pattern recognition that discretionary traders spend years learning to identify manually.
---
## ⚠️ Disclaimer
This indicator is a **trading tool, not a trading system**. It identifies high-probability setups based on order flow analysis but requires proper risk management, market context, and trader discretion. Past performance does not guarantee future results.
---
**Version**: 6 (Pine Script)
**Type**: Overlay + Separate Pane (Delta Panel)
**Resource Usage**: Moderate (500 bars history, 500 lines/boxes)
---
*For questions or support, please comment below. If you find this script valuable, please boost and favorite!* 🚀
Support & Resitance LinesIntroduction:
Support & Resistance levels are time consuming to mark on charts. They also must be maintained. If the user has multiple charts they analyze, this adds to the workload. This indicator attempts to automate that work flow for the user.
Description:
Psychological Support and Resistances
are marked with a horizontal ray and labeled.
Levels marked include the 1 Month, 1 Week, and the Daily.
If a candle closes on the marked levels, the horizontal ray marking that level will disappear.
Volume Based Support and Resistances [/i
With the fixed range volume profile tool, marked levels include the point of control(POC) and the Value Areas (VA). This includes both the Value Area Low (VAL) and the Value Area High (VAH). Levels marked include the 1 Year, 6 Month, and the 1 Month fixed range volume profile.
If a candle closes on the marked levels, the horizontal ray marking that level will disappear.
How to use:
1) Turn on indicator and make sure you are on the 1D time frame.
2) Find areas of high confluence and mark with rectangular box.
3) Once all areas are marked, turn off indicator to save CPU time.
4) It is now ready to use and you can scan the chart using multiple time frames.
Useful Tips:
1) Use this tool to see if these levels marked are respected in forward testing.
2) You can turn off labels and color code horizontal rays to make tool run more efficiently for the CPU.
3) Use RSI, MACD, Wave Trend with Crosses , or any other oscillator to identify divergences once price hits support & resistance. Observe if price reacts.
4) Confluence is key, the higher the confluence, the better.
