Order Blocks Volume Delta 3D | Flux ChartsGENERAL OVERVIEW:
Order Blocks Volume Delta 3D by Flux Charts is a rule-based order block and volume delta visualization tool. It detects bullish and bearish order blocks using a profile-of-price approach: the indicator finds the most actively traded price area (Point of Control, or POC) between a swing high/low and the Break of Structure (BOS), then anchors the order block to the earliest still-valid candle that traded through that POC band. From there, it tracks all candles that continue to interact with that zone and overlays both 2D and 3D volume delta views directly inside the order block.
Unlike traditional order block tools that simply use candle bodies or wicks, this indicator is volume-aware. It lets you optionally pull volume from a lower timeframe feed (for example, using 1-minute data while watching a 5-minute chart) to build a much more accurate picture of how buyers and sellers actually traded inside the zone. This makes every block not just a price box, but a volume story: which side dominated, where, and by how much.
All order blocks printed by this indicator are confirmed: BOS and retests are evaluated strictly on closed candles. Nothing is drawn or alerted on partially formed bars, which helps avoid repaint-style flicker and keeps the signals clean and stable.
What is the theory behind the indicator?:
The core idea behind Order Blocks Volume Delta 3D is that not all price levels inside an order block are equal. Some prices are barely touched, while others act like magnets where candles repeatedly trade and heavy volume passes through.
The indicator first finds a swing high or swing low, waits for a clear Break of Structure (BOS), then scans the candles between the swing point and the BOS to find the price level that was touched the most. That level is treated as the POC.
From all candles in the swing-to-BOS range that interact with this POC band, the indicator looks for the earliest candle that is not already mitigated and uses that as the anchor candle for the order block:
The top of the block equals the anchor candle’s high (for a bearish OB) or the top of its wick zone.
The bottom equals the anchor candle’s low (for a bullish OB) or the bottom of its wick zone.
This “earliest valid POC-touching candle” rule makes it easier to visualize how price and volume developed from the very start of a meaningful zone, while ignoring POC touches that are already fully mitigated by the time the structure is confirmed. On top of that, each candle is split into bullish and bearish volume. If you choose a lower timeframe volume input, the tool aggregates lower timeframe candles into your chart timeframe, giving a more granular bull-versus-bear breakdown for each bar. The result is
an order block that not only shows where price moved but also which side pushed it, how aggressively, and how that balance shifted over time.
ORDER BLOCKS VOLUME DELTA 3D FEATURES:
The Order Blocks Volume Delta 3D indicator includes 4 main features:
1. Order Blocks
2. Volume Delta
3. 3D Visualization
4. Alerts
ORDER BLOCKS:
🔹What is an Order Block
An order block is a price zone where a clear displacement move began after liquidity was taken. It usually forms around the last consolidation or cluster of candles before price breaks structure with a strong move.
In this indicator, order blocks are defined as structured zones that:
Begin at the earliest unmitigated candle that interacted with the most-touched price level (POC) between swing and BOS.
Extend through the full wick range of that anchor candle.
Stretch forward in time, tracking how price continues to trade through, respect, retest, or invalidate the zone.
Are only printed once the BOS is fully confirmed on closed candles (confirmed order blocks only).
Example of bullish and bearish order blocks anchored at the earliest unmitigated candle in the POC zone:
🔹How are Order Blocks detected
The indicator uses a step-by-step, rules-based process to detect bullish and bearish order blocks. The logic is designed to match discretionary Smart Money concepts but with strict, repeatable rules.
Step 1: Detect swing highs and swing lows
Swing High: a candle whose high is higher than the highs of surrounding candles.
Swing Low: a candle whose low is lower than the lows of surrounding candles.
The Swing Length input controls how many candles are checked to the left and right.
Example of swing high and swing low detection:
Step 2: Confirm Break of Structure (BOS)
Once a swing is confirmed, the indicator waits for price to break past that swing:
Bullish BOS: price closes above a previous swing high.
Bearish BOS: price closes below a previous swing low.
To avoid “live” flicker, BOS logic is evaluated based on the previous closed candle. The order block is only confirmed once the BOS candle has fully closed and the next bar has opened. This is one of the reasons the script only shows confirmed, non-repainting order blocks.
Example of bullish BOS and bearish BOS:
Step 3: Build the POC range between swing and BOS
Between the swing candle and the BOS candle, the indicator:
Scans all candles in that range.
Tracks every price level touched using binning (POC bins).
Counts how many times each price band was touched by candle wicks.
The bin with the highest touch count becomes the POC band. This is where price traded most often, not necessarily where volume was highest.
Example of the POC band between swing and BOS.
Step 4 – Anchor the order block to the earliest valid POC candle
From all candles in the swing-to-BOS range, the indicator finds the earliest candle whose high/low overlaps the POC band and whose zone is not already mitigated. That candle becomes the anchor candle for the order block:
For a bearish OB, the block spans the anchor candle’s full wick range, with its top at the high.
For a bullish OB, the block spans the anchor candle’s full wick range, with its bottom at the low.
By requiring the anchor to be the earliest unmitigated interaction with POC, the script avoids building blocks from price action that has already been fully traded through and is less relevant.
Step 5: Extend and manage the order block
Once created, the block:
Extends to the right by a configurable number of candles (Extend Zones).
Continues until it is invalidated by wick or close, depending on the chosen method.
Can show retest labels when price revisits the zone after creation.
Is included or excluded from display depending on the Show Nearest and Hide Invalidated Zones settings.
Example of active and invalidated OB.
🔹Order Block Settings
◇ Swing Length
Swing Length controls how sensitive swing highs and lows are.
Lower Swing Length: Swings form more frequently, which leads to more frequent BOS events and order block formations.
Higher Swing Length: Only larger, more meaningful swings are detected, which leads to less frequent BOS events and less order block formations.
◇ Invalidation
Invalidation determines how an order block is considered “mitigated” or no longer valid.
Wick: For bullish OBs, if price wicks completely through the bottom of the zone, the order block is invalidated. For bearish OBs, if price wicks completely through the top, the order block is invalidated.
Close: For bullish OBs, the block is invalidated only when a candle closes below the bottom. For bearish OBs, it is invalidated only when a candle closes above the top.
Example of wick invalidation:
Example of close invalidation:
◇ Show Nearest
Show Nearest limits how many active order blocks are displayed based on proximity to current price. For example, a value of 2 will display only the two nearest bullish order blocks and two nearest bearish order blocks.
Chart with Show Nearest set to 3:
◇ Extend Zones
Extend Zones define how many candles forward each order block should project beyond the right most candle on the chart.
Chart with Extend Zones set to 10:
◇ Retest Labels
When enabled, the indicator prints labels on every clean retest of an active order block, as long as that block remains valid. Key points:
A retest label is only printed once the retest candle has fully closed – you always see confirmed retests, not intrabar tests.
Retest labels are positioned on the actual retest candle so you can visually see which bar interacted with the zone.
In addition, if multiple retests occur in quick succession, the indicator applies a built-in three-candle buffer between retests. That means only the first valid retest within each three-bar window is labeled (and can trigger an alert), helping to reduce clutter while still highlighting meaningful interactions with the zone.
Example of retest labels on bullish and bearish order blocks.
◇ Hide Invalidated Zones
Hide Invalidated Zones controls whether mitigated/invalidated blocks stay drawn.
Enabled: Only currently valid, unmitigated order blocks are shown (subject to Show Nearest)
Disabled: Both active and invalidated order blocks are displayed.
VOLUME DELTA:
🔹What is Volume Delta
Volume delta measures the difference between buying and selling volume. Instead of only showing “how much volume traded”, it separates volume into bullish and bearish components.
In this indicator:
Bullish volume = volume from candles (or lower timeframe candles) that closed higher.
Bearish volume = volume from candles that closed lower.
Delta % shows how dominant one side was compared to the total.
Example of bullish and bearish order blocks with volume delta and total volume.
🔹How is Volume Delta calculated?
The indicator uses a flexible, timeframe-aware volume engine.
1. Choose a Volume Delta Timeframe.
If the selected timeframe is equal to or higher than the chart timeframe, the indicator simply uses chart-volume per candle.
If the selected timeframe is lower than the chart timeframe (for example, 1‑minute volume on a 5‑minute chart), the indicator pulls all lower timeframe candles for each chart bar and sums them.
2. Split each bar into bull and bear volume.
For each contributing candle:
If close > open → its volume is added to bullish volume.
If close < open → its volume is added to bearish volume.
If close == open → its volume is split evenly between bullish and bearish.
3. Aggregate for each order block.
For each order block:
The indicator loops once from the swing candle to the BOS candle.
It records every candle that touches the POC band.
For each touching candle, it adds its bull and bear volumes (either directly from chart candles or from aggregated lower timeframe candles).
Total volume = bullish volume + bearish volume
Delta % = (bullish volume or bearish volume / total volume ) * 100, depending on which side is dominant.
🔹Volume Delta Settings:
◇ Display Style
Display Style controls how the volume delta is drawn inside each order block:
Horizontal:
Bullish and bearish fills extend horizontally from left to right.
The filled strip sits along the base of the block, with a bull vs bear gradient.
Vertical:
Bullish and bearish fills stretch vertically inside the zone.
The bullish percentage controls how much of the block is filled with the “dominant” color.
Example of Horizontal display style.
Example of Vertical display style.
◇ Volume Delta Timeframe
Volume Delta Timeframe tells the indicator whether to use chart volume or lower timeframe volume. When set to a lower timeframe, the indicator aggregates all lower timeframe candles that fall inside each chart bar, splitting their volume into bullish and bearish components before summing.
Using a lower timeframe:
Increases precision for how volume truly behaved inside each bar.
Helps reveal hidden absorption and aggressive flows that a higher timeframe candle might hide.
Example of volume delta based on chart timeframe.
Example of volume delta based on lower timeframe than chart(same OB as above)
◇ Display Total Volume
When enabled, the indicator prints the total volume for each order block as a label positioned inside the zone, near the bottom-right corner. This total is the sum of bullish and bearish volume used in the delta calculation and gives you a quick sense of how “heavy” the trading was in that block compared to others.
Example of total volume label inside multiple order blocks.
◇ Show Delta %
Show Delta % draws a small text label on the strip of the block that displays the dominant side’s percentage. For example, a bullish block might show “72%” if 72% of all volume inside that POC band came from bullish volume.
Example of Delta %:
3D VISUALIZATION:
The 3D Visualization feature turns each order block into a 3D plot.
🔹What the 3D Visualization does:
Wraps the order block with side faces and a top face to create a 3D bar effect.
Uses delta percentages to tilt the top face toward the dominant side.
Projects blocks into the future using Extend Zones, making the 3D blocks visually stand out.
🔹How it works:
The front face of the OB shows the standard 2D zone.
The side face extends forward in time based on the 3D depth setting.
The top face is angled depending on the Display Style and bull vs bear delta, making strong bullish blocks “rise” and strong bearish blocks “sink”.
🔹How the 3D depth setting affects visuals
Lower 3D depth:
Shorter side faces.
Subtle 3D effect.
Higher 3D depth:
Longer side faces projecting further into the future.
Stronger 3D effect that visually highlights key zones.
Example of lower 3D depth:
Example of higher 3D depth:
ALERTS:
The indicator supports alert conditions through TradingView’s AnyAlert() engine, allowing you to set alerts for the following:
New Bullish Order Block formed
New Bearish Order Block formed
Bullish OB Retest
Bearish OB Retest
Important alert behavior:
Order block alerts only fire when a new block is confirmed (after BOS closes and the next bar opens).
Retest alerts only fire when a retest candle has completely finished, matching the behavior of the visual retest labels.
IMPORTANT NOTES:
3D faces for order blocks are built using polylines. In some situations, especially when an order block’s starting point (its left edge) is beyond the chart’s left-most visible bar, the top 3D face may appear slightly irregular, skewed, or incomplete. This is purely a drawing limitation related to how the chart engine handles off-screen polyline points. Once the starting point of that order block comes into view (by zooming out or scrolling back), the 3D top face corrects itself and the visual becomes fully consistent. This issue affects only the 3D top face drawing, not the actual order-block box itself. The underlying zone, prices, and volume calculations remain accurate at all times.
If all conditions are met to create a new order block but the resulting zone would overlap an existing active order block, the new block is intentionally not created. A built-in guard prevents overlapping active zones to keep the structure clean and easier to interpret.
3D face drawing is implemented using an adaptive polyline method, which can be relatively calculation-heavy on certain symbols, timeframes, or chart histories. In some cases this may lead to calculation timeout error from TradingView.
UNIQUENESS:
This indicator is unique because it:
Anchors each order block to the earliest unmitigated candle that traded through the most-touched POC band between swing and BOS, rather than a generic “last up/down candle” or a random volume spike.
Builds a dedicated volume engine that can pull either chart timeframe volume or aggregated lower timeframe volume, then splits it into bull and bear components.
Adds 3D visualization on top of standard zones, turning each OB into a visually weighted slab rather than a flat rectangle.
Provides clean toggles (Show Nearest, Hide Invalidated Zones, Extend Zones, Display Style, Delta %, and total volume labels) so you can dial the indicator from extremely minimal to fully detailed, depending on your trading workflow.
Combined, these features make the indicator not just an order block plotter, but a complete volume‑informed structure tool tailored for traders who want to see where price actually traded and whether bulls or bears truly controlled the move inside each order block.
ค้นหาในสคริปต์สำหรับ "Up down"
WoAlgo Premium v3.0
WoAlgo Premium v3.0 - Smart Money Analysis
Overview
** WoAlgo Premium v3.0 ** is an advanced technical analysis indicator designed for educational purposes. This tool combines Smart Money Concepts with multi-factor confluence analysis to help traders identify potential market opportunities across multiple timeframes.
The indicator integrates market structure analysis, order flow concepts, and technical momentum indicators into a comprehensive dashboard system. It is designed to assist traders in understanding institutional trading patterns and market dynamics through visual analysis tools.
### What It Does
This indicator provides:
**1. Smart Money Concepts Analysis**
- Market structure identification (Break of Structure and Change of Character patterns)
- Order block detection with volume confirmation
- Fair value gap recognition
- Liquidity zone mapping (equal highs and lows)
- Premium and discount zone calculations
**2. Multi-Factor Confluence Scoring**
The indicator calculates a proprietary confluence score (0-100) based on five key components:
- Price action analysis (30% weight)
- Volume confirmation (20% weight)
- Momentum indicators (25% weight)
- Trend strength measurement (15% weight)
- Money flow analysis (10% weight)
**3. Multi-Timeframe Analysis**
- Scans 5 different timeframes (5M, 15M, 1H, 4H, Daily)
- Calculates alignment percentage across timeframes
- Displays trend and structure status for each period
**4. Visual Dashboard System**
- Comprehensive main dashboard with 13 metrics
- Real-time screener table with 10 data columns
- Multi-timeframe scanner
- Performance tracking panel
### How It Works
**Market Structure Detection**
The indicator identifies key structural changes in price action:
- **BOS (Break of Structure)**: Indicates trend continuation when price breaks previous swing points
- **CHoCH (Change of Character)**: Signals potential trend reversal when market structure shifts
**Order Block Identification**
Order blocks are detected when:
- Significant volume appears at swing points
- Price shows strong directional movement from these levels
- Enhanced detection with extreme volume confirmation (OB++ markers)
**Fair Value Gap Recognition**
Gaps between candles are identified when:
- Price leaves inefficiencies in the market
- Three consecutive candles create a gap pattern
- Gap size exceeds minimum threshold based on ATR
**Confluence Calculation**
The system evaluates multiple technical factors:
1. **Price Position**: Relative to moving averages (EMA 20, 50, 200)
2. **Volume Analysis**: Standard deviation-based volume spikes
3. **Momentum**: RSI, MACD, Stochastic indicators
4. **Trend Strength**: ADX measurements
5. **Money Flow**: MFI indicator readings
Each factor contributes weighted points to create an overall confluence score that helps assess signal strength.
### Signal Types
**Confirmation Signals (▲ / ▼)**
Generated when:
- EMA crossovers occur (20/50 cross)
- Volume confirmation is present
- RSI is in appropriate zone
- Confluence score exceeds 50%
**Strong Signals (▲+ / ▼+)**
Higher-confidence signals requiring:
- Confluence score above 70%
- Extreme volume confirmation
- Alignment with 200 EMA trend
- MACD confirmation
- Bullish or bearish market structure
**Contrarian Signals (⚡)**
Reversal indicators appearing when:
- RSI reaches extreme levels (<30 or >70)
- Stochastic shows oversold/overbought conditions
- Price touches Bollinger Band extremes
- Potential divergence patterns emerge
**Reversal Zones**
Visual boxes highlighting areas where:
- Market structure conflicts with momentum
- High probability of directional change
- Key support/resistance levels interact
**Smart Trail**
Dynamic stop-loss indicator that:
- Adjusts based on ATR (Average True Range)
- Follows trend direction
- Updates automatically as price moves
- Provides risk management reference points
### Dashboard Components
**Main Dashboard (13 Metrics)**
1. **Confluence Score**: Current bull/bear percentage (0-100)
2. **Market Regime**: Trend classification (Strong Up/Down, Range, Squeeze)
3. **Signal Status**: Active buy/sell signal indication
4. **Structure State**: Current market structure (Bullish/Bearish/Neutral)
5. **Trend Strength**: ADX-based measurement
6. **RSI Level**: Momentum indicator with overbought/oversold zones
7. **MACD Direction**: Trend momentum confirmation
8. **Money Flow Index**: Smart money sentiment
9. **Volume Status**: Current volume relative to average
10. **Volatility Rating**: ATR percentage measurement
11. **ATR Value**: Average true range for position sizing
12. **MTF Alignment**: Multi-timeframe agreement percentage
**Screener Table (10 Columns)**
- Current symbol and timeframe
- Real-time price and percentage change
- Quality rating (star system)
- Active signal type
- Smart trail status
- Market structure state
- MACD direction
- Trend strength percentage
- Bollinger Band squeeze detection
**MTF Scanner (5 Timeframes)**
Displays for each timeframe:
- Trend direction indicator
- Market structure classification
- Visual confirmation with color coding
**Performance Metrics**
- Win rate percentage (simplified calculation)
- Total signals generated
- Current confluence score
- MTF alignment status
- Volatility level
### Settings and Customization
**Preset Styles**
Choose from predefined configurations:
- **Conservative**: Fewer, higher-quality signals
- **Moderate**: Balanced approach (recommended)
- **Aggressive**: More frequent signals
- **Scalper**: Short-term focused
- **Swing**: Longer-term oriented
- **Custom**: Full manual control
**Smart Money Concepts Controls**
- Toggle each feature independently
- Adjust swing length (3-50 periods)
- Enable/disable internal structure
- Control order block display
- Manage breaker block visibility
- Show/hide fair value gaps
- Display liquidity zones
- Premium/discount zone visualization
**Signal Configuration**
- Enable/disable confirmation signals
- Toggle strong signal markers
- Control contrarian signal display
- Show/hide reversal zones
- Smart trail activation
- Sensitivity adjustment (5-50)
**Visual Customization**
- Moving average display options
- MA period adjustments (Fast: 20, Slow: 50, Trend: 200)
- Support/resistance line toggle
- Dynamic S/R lookback period
- Candle coloring based on trend
- Color scheme customization
- Dashboard size options (Small/Normal/Large)
- Position placement (4 corners)
### How to Use
**Step 1: Initial Setup**
1. Add indicator to chart
2. Select appropriate preset or use Custom
3. Adjust timeframe to match trading style
4. Configure dashboard visibility preferences
**Step 2: Analysis Workflow**
1. Check MTF Scanner for timeframe alignment
2. Review Main Dashboard confluence score
3. Observe Market Regime classification
4. Identify active signals on chart
5. Confirm with Smart Money Concepts (order blocks, FVG, structure)
**Step 3: Trade Consideration**
Strong signals (▲+ / ▼+) require:
- Confluence score >70%
- MTF alignment >60%
- Confirmation from multiple dashboard metrics
- Support from Smart Money Concepts
- Appropriate volume levels
**Step 4: Risk Management**
- Use Smart Trail as dynamic stop-loss reference
- Consider ATR for position sizing
- Monitor volatility rating
- Respect support/resistance levels
- Combine with personal risk parameters
### Best Practices
**For Scalping (1M-5M timeframes)**
- Use Scalper preset
- Reduce swing length to 5-7
- Focus on strong signals only
- Monitor MTF alignment closely
- Quick entries near order blocks
**For Intraday Trading (15M-1H timeframes)**
- Use Moderate preset (recommended)
- Default swing length (10)
- Combine confirmation and strong signals
- Check MTF scanner before entry
- Use fair value gaps for entries
**For Swing Trading (4H-D timeframes)**
- Use Swing preset
- Increase swing length to 15-20
- Focus on strong signals
- Require high MTF alignment
- Patient approach with major structure levels
### Technical Specifications
**Indicators Used**
- Exponential Moving Averages (20, 50, 200)
- Hull Moving Average
- Relative Strength Index (14)
- MACD (12, 26, 9)
- Money Flow Index (14)
- Stochastic Oscillator (14, 3)
- ADX / DMI (14)
- Bollinger Bands (20, 2)
- ATR (14)
- Volume Analysis (SMA 20 with standard deviation)
**Calculation Methods**
- Swing detection using pivot high/low functions
- Volume confirmation via statistical analysis
- Multi-factor scoring with weighted components
- Dynamic support/resistance using highest/lowest functions
- Real-time MTF data via security() function
### Limitations and Considerations
**Important Notes**
1. This indicator is designed for educational and analytical purposes only
2. Historical performance does not guarantee future results
3. Signals should be confirmed with additional analysis
4. Market conditions vary and affect indicator performance
5. Not all signals will be profitable
6. Risk management is essential for all trading
**Known Limitations**
- Confluence scoring is algorithmic and not predictive
- MTF analysis requires sufficient historical data
- Effectiveness varies across different market conditions
- Sideways markets may produce conflicting signals
- High volatility can affect signal reliability
- Backtesting results shown are simplified calculations
**Not Suitable For**
- Automated trading without human oversight
- Sole basis for trading decisions
- Guaranteed profit expectations
- Inexperienced traders without proper education
- Trading without risk management plans
### Market Applicability
**Effective On**
- Trending markets (any direction)
- Clear structure formation periods
- Liquid instruments with consistent volume
- Multiple asset classes (forex, stocks, crypto, commodities)
- Various timeframes with appropriate settings
**Less Effective During**
- Extended ranging/choppy conditions
- Extremely low volume periods
- Major news events causing gaps
- Early market open with high spread
- Illiquid instruments with erratic price action
### Risk Disclaimer
**⚠️ IMPORTANT NOTICE**
This indicator is provided for **educational and informational purposes only**. It does not constitute financial advice, investment recommendations, or trading signals.
**Key Risk Factors:**
- Trading financial instruments involves substantial risk of loss
- Past performance does not indicate future results
- No indicator can predict market movements with certainty
- Users should conduct independent research and analysis
- Professional financial advice should be sought when appropriate
- Risk management and position sizing are critical to successful trading
- Users are solely responsible for their trading decisions
**Responsible Usage:**
- Combine with comprehensive market analysis
- Use appropriate stop-loss orders
- Never risk more than you can afford to lose
- Maintain realistic expectations
- Continue education on technical analysis principles
- Test thoroughly on demo accounts before live trading
- Understand all indicator features before using
### Educational Resources
**Understanding Smart Money Concepts**
Smart Money Concepts analyze how institutional traders and large market participants operate. Key principles include:
- Institutional order flow patterns
- Market structure changes
- Liquidity manipulation
- Supply and demand imbalances
- Order block formations
**Multi-Timeframe Analysis Theory**
Analyzing multiple timeframes helps:
- Identify overall market direction
- Improve entry timing
- Confirm trend strength
- Recognize consolidation periods
- Reduce conflicting signals
**Confluence Trading Approach**
Using multiple confirming factors:
- Increases signal reliability
- Reduces false signals
- Provides conviction for trades
- Helps with position sizing
- Improves risk-reward ratios
### Version History
**v3.0 (Current)**
- Multi-factor confluence scoring system
- Complete Smart Money Concepts implementation
- Real-time multi-timeframe analysis
- Four professional dashboard panels
- Enhanced order block detection
- Breaker block identification
- Premium/discount zone calculations
- Smart trail stop-loss system
- Customizable preset configurations
- Performance tracking metrics
**Development Philosophy**
This indicator was developed with focus on:
- Educational value for traders
- Transparent methodology
- Comprehensive feature set
- User-friendly interface
- Flexible customization options
### Technical Support
**For Questions About:**
- Indicator functionality
- Parameter optimization
- Signal interpretation
- Dashboard metrics
- Best practice recommendations
Please use TradingView's comment section below. The developer monitors comments and provides assistance to users learning to use the indicator effectively.
### Acknowledgments
This indicator implements concepts from:
- Smart Money Concepts trading methodology
- Multi-timeframe analysis techniques
- Technical indicator theory
- Market structure analysis principles
- Institutional order flow concepts
All implementations are original code and calculations based on established technical analysis principles.
---
## ADDITIONAL INFORMATION SECTION
**Category**: Indicators
**Type**: Market Structure / Multi-Timeframe Analysis
**Complexity**: Intermediate to Advanced
**Open Source**: Code visible for transparency and education
**Pine Script Version**: v6
**Chart Overlay**: Yes
**Maximum Objects**: 500 boxes, 500 lines, 500 labels
Zenith MACD Evolution [JOAT]
Zenith MACD Evolution - Volatility-Normalized Momentum Oscillator
Introduction and Purpose
Zenith MACD Evolution is an open-source oscillator indicator that takes the classic MACD and normalizes it by ATR (Average True Range) to create consistent overbought/oversold levels across different market conditions. The core problem this indicator solves is that traditional MACD values are incomparable across different volatility regimes. A MACD reading of 50 might be extreme in a quiet market but normal in a volatile one.
This indicator addresses that by dividing MACD by ATR and scaling to a consistent range, allowing traders to use fixed overbought/oversold levels that work across all market conditions.
Why ATR Normalization Works
Traditional MACD problems:
- Values vary wildly based on price and volatility
- No consistent overbought/oversold levels
- Hard to compare across different instruments
- Extreme readings in one period may be normal in another
ATR-normalized MACD (Zenith) solves these:
- Values scaled to consistent range
- Fixed overbought/oversold levels work across all conditions
- Comparable across different instruments
- Extreme readings are truly extreme regardless of volatility
How the Normalization Works
// Classic MACD
= ta.macd(close, fastLength, slowLength, signalLength)
// ATR for normalization
float atrValue = ta.atr(atrNormLength)
// Volatility-Normalized MACD
float zenithMACD = atrValue != 0 ? (histLine / atrValue) * 100 : 0
float zenithSignal = ta.ema(zenithMACD, signalLength)
The result is a MACD that typically ranges from -200 to +200, with consistent levels:
- Above +150 = Overbought
- Below -150 = Oversold
- Above +200 = Extreme overbought
- Below -200 = Extreme oversold
Signal Types
Zero Cross Up/Down - Zenith crosses zero line (trend change)
Overbought/Oversold Entry - Zenith enters extreme zones
Overbought/Oversold Exit - Zenith leaves extreme zones (potential reversal)
Momentum Shift - Histogram direction changes (early warning)
Divergence - Price makes new high/low but Zenith does not
Histogram Coloring
The histogram uses four colors to show momentum state:
- Strong Bull (Teal) - Positive and rising
- Weak Bull (Light Teal) - Positive but falling
- Strong Bear (Red) - Negative and falling
- Weak Bear (Light Red) - Negative but rising
This helps identify momentum shifts before crossovers occur.
Dashboard Information
Zenith - Current normalized MACD value with signal line
Zone - Current zone (EXTREME OB/OVERBOUGHT/NORMAL/OVERSOLD/EXTREME OS)
Momentum - Direction (RISING/FALLING/FLAT)
Histogram - Current histogram value
ATR Norm - Current ATR value used for normalization
Classic - Traditional MACD value for reference
How to Use This Indicator
For Mean-Reversion:
1. Wait for Zenith to reach extreme zones (+200/-200)
2. Look for momentum shift (histogram color change)
3. Enter counter-trend when exiting extreme zone
For Trend Following:
1. Enter long on zero cross up
2. Enter short on zero cross down
3. Use histogram color to gauge momentum strength
For Divergence Trading:
1. Watch for DIV labels (price vs Zenith divergence)
2. Bullish divergence at support = potential long
3. Bearish divergence at resistance = potential short
Input Parameters
Fast/Slow/Signal Length (12/26/9) - Standard MACD parameters
ATR Normalization Period (26) - Period for ATR calculation
Overbought/Oversold Zone (150/-150) - Zone thresholds
Extreme Level (200) - Extreme threshold
Show Classic MACD Lines (false) - Toggle traditional lines
Show Divergence Detection (true) - Toggle divergence signals
Divergence Lookback (14) - Bars to scan for divergence
Timeframe Recommendations
All timeframes work due to normalization
Higher timeframes provide smoother signals
Normalization makes cross-timeframe comparison meaningful
Limitations
ATR normalization adds slight lag
Divergence detection is simplified
Extreme zones can persist in strong trends
Works best when combined with price action analysis
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Momentum analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
Vortex Trend Matrix [JOAT]Vortex Trend Matrix - Multi-Factor Trend Confluence System
Introduction and Purpose
Vortex Trend Matrix is an open-source overlay indicator that combines Ichimoku-style equilibrium analysis with the Vortex Indicator to create a comprehensive trend confluence system. The core problem this indicator solves is that single trend indicators often give conflicting signals. Price might be above a moving average but momentum might be weakening.
This indicator addresses that by combining five different trend factors into a single composite score, making it easy to identify when multiple factors align for high-probability trend trades.
Why These Components Work Together
Each component measures trend from a different perspective:
1. Cloud Position - Price above/below the equilibrium cloud indicates overall trend bias. The cloud acts as dynamic support/resistance.
2. TK Relationship - Conversion line vs Base line (like Tenkan/Kijun in Ichimoku). Conversion above Base = bullish momentum.
3. Lagging Span - Current price compared to price N bars ago. Confirms whether current move has follow-through.
4. Vortex Indicator - VI+ vs VI- measures directional movement strength. Provides momentum confirmation.
5. Base Direction - Whether the base line is rising or falling. Indicates medium-term trend direction.
How the Trend Score Works
float trendScore = 0.0
// Cloud position (+2/-2)
trendScore += aboveCloud ? 2.0 : belowCloud ? -2.0 : 0.0
// TK relationship (+1/-1)
trendScore += conversionLine > baseLine ? 1.0 : conversionLine < baseLine ? -1.0 : 0.0
// Lagging span (+1/-1)
trendScore += laggingBull ? 1.0 : laggingBear ? -1.0 : 0.0
// Vortex (+1.5/-1.5)
trendScore += vortexBull ? 1.5 : vortexBear ? -1.5 : 0.0
// Base direction (+0.5/-0.5)
trendScore += baseDirection * 0.5
Score ranges from approximately -6 to +6:
- +4 or higher = STRONG BULL
- +2 to +4 = BULL
- -2 to +2 = NEUTRAL
- -4 to -2 = BEAR
- -4 or lower = STRONG BEAR
Signal Types
TK Cross Up/Down - Conversion line crosses Base line (momentum shift)
Base Direction Change - Base line changes direction (medium-term shift)
Strong Bull/Bear Trend - Score reaches +4/-4 (high confluence)
Dashboard Information
Trend - Overall status with composite score
Cloud - Price position (ABOVE/BELOW/INSIDE)
TK Cross - Conversion vs Base relationship
Lagging - Lagging span bias
Vortex - VI+/VI- relationship
VI+/VI- - Individual vortex values
How to Use This Indicator
For Trend Following:
1. Enter long when trend score reaches +4 or higher (STRONG BULL)
2. Enter short when trend score reaches -4 or lower (STRONG BEAR)
3. Use cloud as dynamic support/resistance for entries
For Momentum Timing:
1. Watch for TK Cross signals for entry timing
2. Base direction changes indicate medium-term shifts
3. Vortex confirmation adds conviction
For Risk Management:
1. Exit when trend score drops to neutral
2. Use cloud edges as stop-loss references
3. Reduce position when score weakens
Input Parameters
Conversion Period (9) - Fast equilibrium line
Base Period (26) - Slow equilibrium line
Lead Span Period (52) - Cloud projection period
Displacement (26) - Cloud and lagging span offset
Vortex Period (14) - Period for vortex calculation
VI+ Strength (1.10) - Threshold for strong bullish vortex
VI- Strength (0.90) - Threshold for strong bearish vortex
Timeframe Recommendations
4H-Daily: Best for equilibrium-based analysis
1H: Good for intraday trend following
Lower timeframes may require adjusted periods
Limitations
Equilibrium calculations have inherent lag
Cloud displacement means signals are delayed
Works best in trending markets
May whipsaw in ranging conditions
Open-Source and Disclaimer
This script is published as open-source under the Mozilla Public License 2.0 for educational purposes.
This indicator does not constitute financial advice. Trend analysis does not guarantee profitable trades. Always use proper risk management.
- Made with passion by officialjackofalltrades
RSI Bollinger Band and Trend Confidence Gauge█ RSI BB Trend Confidence Gauge (ADX/DMI)
Cross-checks Trend + Momentum + Strength in real time so you focus on VERIFIED conditions.
Most of us have been there: you see a move starting, you jump in, and the market immediately turns into a sideways chop-fest that eats your stop. This is a simple dashboard that forces the market to “prove itself” before you put capital at risk.
█ WHAT MAKES THIS DIFFERENT?
Most indicators are “Yes/No” machines — they fire signals anytime two lines cross, even when the market is weak, noisy, or range-bound. This script is a Quality Filter .
Instead of asking “Is price moving?”, it asks: “Is the move backed by alignment, momentum, and strength?”
VERIFIED only appears when all three agree, helping you avoid low-probability chop and “no-trade” consolidation zones.
█ QUICK START
• UP + VERIFIED + High ➔ “A-Tier” state; favor pullbacks or continuation.
• DOWN + VERIFIED + High ➔ bearish control is real; avoid dip-buying.
• Conflict (gray) ➔ indicators disagree; step aside and wait for alignment.
• R or B markers ➔ overextension warnings; don’t chase into extremes.
█ THE "ANTI-CHOP" ENGINE
Trading is probability, not guessing. This script uses a 3-stage logic gate to verify conditions:
• 1) The Trend (HMA 13/34): Hull Moving Averages provide a fast, smooth regime filter. If fast vs. slow isn’t clean, the regime isn’t ready.
• 2) The Fuel (RSI 50): A trend without momentum is a trap. UP/DOWN only prints when RSI confirms.
• 3) The Proof (ADX/DMI): Final gate. VERIFIED only appears when ADX ≥ 22 and DI+/DI- agrees . If strength isn’t there, stay sidelined.
█ VISUALS YOU'LL ACTUALLY USE
• Live Dashboard: Bottom-center snapshot of RSI, Direction (UP/DOWN/Conflict), VERIFIED status, and Confidence tier (Low/Med/High).
• Exhaustion Markers: Orange icons when price is extended: "R" for RSI extremes and "B" for Bollinger Band hits. These flag caution zones.
• Trend Ribbon: Zero-line bias bar: Lime (bullish), Red (bearish), Gray (conflict/chop risk).
█ SETTINGS
• Action ADX Minimum (default 22): Want stricter verification? Try 25. Want earlier signals? Try 20 (higher noise/risk).
Disclaimer: Educational tool only. Not financial advice. Past performance does not guarantee future results. Always use strict risk management.
Volume Delta Waterfall (Anchored, No Reset)What this helps you see (simple)
Delta (ΔV) = UpVolume − DownVolume (estimated from lower timeframe).
Positive ΔV ⇒ more “up” volume inside the bar → buying pressure dominates.
Negative ΔV ⇒ more “down” volume inside the bar → selling pressure dominates.
The waterfall is cumulative delta: each bar starts at the previous bar close and moves up/down by ΔV.
Divergence idea:
Bearish divergence: price makes Higher High, but cumulative delta at that swing makes Lower High → rally is weaker (often exhaustion / distribution).
Bullish divergence: price makes Lower Low, but cumulative delta at that swing makes Higher Low → selloff is weaker (often absorption / reversal risk).
4 EMA Flexible with CrossoversOverview
This indicator is a highly customizable multi-EMA (Exponential Moving Average) suite designed for trend followers and momentum traders. Unlike standard EMA indicators, this script provides four independent EMAs, each with its own horizontal Offset parameter, allowing traders to shift averages forward or backward to account for market lag or cycles.
It is specifically built for traders who use a "Triple EMA" or "Quad EMA" setup to filter trends across different timeframes while looking for precise entry triggers.
Key Features
4 Independent EMAs: Fully customizable length and color for each average.
Horizontal Offsets: Each EMA can be shifted horizontally (left or right) to align with specific market structures or to create "lead" indicators.
Crossover Detection: The script automatically monitors EMA 1 and EMA 2 for crossovers.
Golden Cross (Cross Up): Signals potential bullish momentum.
Death Cross (Cross Down): Signals potential bearish momentum.
Visual Labeling: Includes intuitive on-chart shapes (Triangle Up/Down) and text labels to ensure you never miss a crossover event.
Alert Integration: Native support for TradingView alerts. You can set notifications for Bullish and Bearish crossovers with a single click.
How to Use
Trend Filtering: Use the 4th EMA (default 200) as your "Trend Filter." Only take Long signals when price is above this line and Short signals when below.
Signal Generation: Use the first two EMAs (default 21 and 30) to generate entry signals. When they cross in the direction of the higher-order trend, it indicates a high-probability entry point.
Offset Tuning: Use the Offset feature to shift your signal EMAs forward (positive values) if you want to avoid "whipsaws" in a sideways market.
Settings
EMA 1 & 2: Primary signal lines. Crossovers are calculated based on these two inputs.
EMA 3 & 4: Secondary trend lines for support/resistance and trend direction.
Offset: Adjusts the horizontal placement of the line (positive for right, negative for left).
Momentum Trend & Ignition DashboardDescription
Rationale & Originality Traders often struggle with chart clutter, needing separate indicators for Moving Averages, Volume anomalies, and Fundamental stats (like 52-week highs or Float). This script solves this problem by creating a unified "Momentum Dashboard." It is not just a collection of averages; it is a purpose-built tool for Breakout and Trend Following strategies (such as CAN SLIM or VCP).
The uniqueness of this script lies in its "Confluence Logic": it allows a trader to instantly validate a setup by checking three pillars simultaneously without changing tabs:
Trend: Are the key MAs (20, 50, 100, 200) stacked correctly?
Ignition: Is there a "Power Play" (Big Price Move + Heavy Volume) occurring right now?
Stats: Is the stock near its 52-week high, and does it have a supportive Up/Down Volume Ratio?
How It Works (Detailed Calculations)
1. Custom Trend Ribbon (4x MA Mix):
The script plots 4 independent Moving Averages.
Innovation: Unlike standard inputs, each MA can be individually toggled between SMA (Simple) or EMA (Exponential). This allows traders to mix "Fast" trend lines (e.g., 10 or 20 EMA) with "Slow" institutional lines (e.g., 50 or 200 SMA) in one overlay.
2. "Purple Dot" Ignition Detection:
This features a custom detection algorithm for "Ignition Bars."
Logic: It compares the current candle's Close to the previous Close. If the move exceeds a user-defined threshold (default 5%) AND the Volume exceeds a fixed liquidity threshold (default 500k), a Purple Dot is plotted.
This filters out "low volume drift" and highlights true institutional participation.
3. Relative Volume (RVol) Engine:
Calculates the ratio of Current Volume to the 50-period SMA of Volume.
Visuals: If the ratio exceeds the user threshold (e.g., 1.5x average), the dashboard highlights the data, and optionally the chart bars, alerting the trader to unusual activity.
4. Statistical Dashboard (Data Panel):
Using request.security, the panel fetches daily timeframe data regardless of the chart view.
52-Week & 13-Week H/L: Calculates the percentage distance from these key levels to gauge overhead supply.
U/D Ratio: Calculates the sum of volume on "Up Days" vs. "Down Days" over 50 periods. A value > 1.0 suggests institutional accumulation.
Float %: (Stocks Only) Fetches financial data to show the percentage of shares available for trading.
How to Use This Script
This script is designed for Trend Following and Breakout Trading:
The Setup: Use the Data Panel to find stocks with a U/D Ratio > 1.0 and price within 15% of the 52-Week High.
The Trend: Ensure price is above the MA 2 (set to 50 SMA) and MA 4 (set to 200 SMA) to confirm a Stage 2 uptrend.
The Trigger: Watch for the Purple Dot.
If a Purple Dot appears as price breaks out of a consolidation (base), it confirms institutional buying.
Use the RVol panel to confirm that volume is at least 1.5x normal levels.
Risk Management: Use the MA 1 (set to 20 EMA) as a trailing stop-loss during strong trends.
Settings & Configuration
MAs: Fully adjustable Length and Type (SMA/EMA).
Big Move (Purple Dot): Adjust the % Move based on asset volatility (e.g., use 3% for Large Caps, 10% for Crypto).
Table: The data panel is fully dynamic. You can toggle specific rows (like Float or SMA distance) On/Off to save screen space, and position it anywhere on the chart.
Credits & References
The concept of Relative Volume (RVol) and U/D Ratio is derived from standard Volume Analysis used by William O'Neil.
The "Big Move" combined with Volume thresholds is based on standard Volume Spread Analysis (VSA) concepts regarding "Effort vs. Result."
Financial data fetch (Float) utilizes TradingView's built-in financial() library.
Momentum Color Classification System### Code Analysis: Momentum Color Classification System (Pine Script v5)
#### Core Function
This is a **non-overlay TradingView Pine Script v5 indicator** designed to quantify and categorize price momentum dynamics with extreme precision. It calculates core momentum from price Rate of Change (ROC) and second-derivative momentum change, then classifies market momentum into 9 distinct states (bullish variations, bearish variations, and neutral oscillation). The indicator visualizes momentum via color-coded histogram bars, and provides real-time status labels, a detailed info dashboard, and actionable trading suggestions — all to help traders accurately identify momentum strength, acceleration/deceleration trends, and guide long/short trading decisions.
#### Key Features (Concise & Clear)
1. **9-tier Precise Momentum Classification**
Divides momentum into **4 bullish states** (accelerating/decelerating/steady/weak up), **4 bearish states** (accelerating/decelerating/steady/weak down) and 1 neutral oscillation state, fully covering all momentum trend phases in the market.
2. **2-dimensional Momentum Calculation**
Combines **1st-order momentum** (price ROC-based core momentum) and **2nd-order momentum change** (momentum acceleration/deceleration), plus absolute momentum strength, to comprehensively judge momentum direction, speed and intensity.
3. **Color-Coded Visualization with Hierarchy**
Uses a gradient color system (vibrant-to-pale green for bullish, vivid-to-light red for bearish, gray for neutral) with transparency differentiation to reflect momentum strength; histogram style ensures intuitive observation, paired with a dotted zero reference line for clear bias judgment.
4. **Practical Trading Auxiliary Tools**
Supports toggleable status labels for extreme momentum (accelerating up/down); embeds a top-right dashboard displaying real-time momentum values, change rate, state, strength level and direct trading suggestions, enabling one-glance market judgment.
5. **High Customizability**
Allows adjustment of core parameters (momentum calculation period, smoothing factor) and toggling of label display, with reasonable parameter ranges to adapt to different trading assets and timeframes.
6. **Trade-Oriented Decision Guidance**
Maps each momentum state to corresponding strength levels and actionable operation advice (long/add position, short/add position, hold, reduce position, wait), directly linking technical analysis to actual trading behavior.
Chainbey AI - Pattern Memory Table (v2)Chainbey AI – Pattern Memory & Market Outcome Table
Chainbey AI Pattern Memory is an advanced market behavior reference indicator designed to help traders understand how the current price structure compares with historical market patterns.
Instead of repainting signals or forcing trades, this tool focuses on context awareness:
It analyzes the current price pattern range
Matches it against selected historical price structures
Displays how price reacted after similar patterns in the past
Shows an estimated directional outcome and momentum strength
All results are presented in a lightweight on-chart table, keeping the chart clean and readable.
🔍 What this indicator shows
📅 Matched historical date & time
📈 Expected direction (UP / DOWN / FLAT)
📊 Historical move percentage
⚡ Estimated momentum strength
🧠 Similarity score (lower = closer pattern match)
🎯 How traders use it
Confirm bias before entering a trade
Understand historical reactions at similar market structures
Avoid emotional decisions by referencing past behavior
Combine with support/resistance, volume, RSI, or trend tools
⚠️ This indicator does NOT generate buy/sell signals.
It is a decision-support & market insight tool, best used alongside your own strategy.
🧩 Best use cases
Crypto, Forex, Commodities, Indices
Intraday & swing trading
Market structure and pattern-based strategies
Bias confirmation before entries
⚠️ Disclaimer
This indicator is for educational and analytical purposes only.
It does not guarantee future performance and should not be considered financial advice.
Volume Flow and Delta Analysis [MarkitTick]💡This comprehensive technical indicator is designed for traders who require a granular view of market participation that goes beyond standard volume bars. By leveraging the advanced "Intrabar Analysis" capabilities of Pine Script, this tool deconstructs every single price candle on your chart into its constituent lower-timeframe components. It effectively "X-rays" the market to determine whether the volume inside a bar was primarily driven by aggressive buying or aggressive selling, providing a definitive read on market sentiment and institutional control.
● Originality and Utility
Most standard volume indicators display a simple aggregate total—a single block of volume that fails to distinguish between buying pressure and selling pressure. A high-volume candle could represent a strong breakout, or it could represent a "selling tail" where buyers were absorbed. This script solves that ambiguity. It is not a standard oscillator; it is a quantitative flow analyzer. It reconstructs the "Delta" (the net difference between buying and selling volume) by querying lower-timeframe data (e.g., analyzing 1-minute data inside a 60-minute bar). This allows traders to spot "Hidden Accumulation" (where price is flat but Delta is rising) or "Exhaustion" (where price rises but Delta falls), offering a significant edge in identifying reversals and trend continuations.
● Methodology
The script operates through a sophisticated three-stage quantitative process:
• Intrabar Data Acquisition
The script uses the security_lower_tf function to fetch granular price and volume data from a lower timeframe (automatically detected or user-defined). This allows the script to see what happened "inside" the current chart's bar.
• Directional Flow Distribution
For every lower-timeframe interval, the script assigns volume to either "Bullish Flow" or "Bearish Flow." If the close is higher than the open on the lower timeframe, the volume is credited to buyers. If the close is lower, it is credited to sellers. This logic is far more accurate than simple "Up/Down" tick data, as it respects price action.
• Statistical Volatility Normalization
To filter out noise, the script calculates a dynamic baseline using an Exponential Moving Average (EMA) of the absolute Delta values. It then compares the current bar's Delta against this baseline. This generates an "Intensity Score" (measured in Sigma or Standard Deviations). This ensures that a "High Volume" signal is relevant to the current market volatility, rather than relying on fixed, arbitrary thresholds.
● How to Use
This tool is designed to be a complete decision-support system. Here is how to interpret its various components:
• The Volume Histogram
The background histogram displays Total Volume, while the foreground bars show the split between Buying (Teal) and Selling (Red) flow. Use this to gauge the "quality" of a move. A price rally accompanied by high Teal volume is healthy; a rally on low volume or high Red volume is suspect.
• The Delta Histogram
This plots the net difference.
Strong Positive (Green) Delta: Indicates aggressive market buy orders are hitting the ask.
Strong Negative (Red) Delta: Indicates aggressive market sell orders are hitting the bid.
Divergence: If Price makes a New High but the Delta Histogram makes a Lower High, this is a classic signal of exhaustion and potential reversal.
• The Heads-Up Display (HUD)
A dashboard table pinned to the chart provides real-time metrics:
Session Delta: The cumulative buy/sell pressure for the current trading day.
Flow Regime: Clearly states if the market is in "ACCUMULATION" or "DISTRIBUTION."
Intensity: Shows how statistically significant the current volume is (e.g., "2.5x" means the volume is 2.5 times the standard deviation, indicating an anomaly).
• Visual Signals
The script plots triangle markers on top of the chart when the Delta Intensity exceeds the user-defined threshold.
Up Triangle (Green): Signals strong institutional buying pressure (Delta > Threshold).
Down Triangle (Red): Signals strong institutional selling pressure (Delta < Threshold).
● Inputs and Configuration
Lower Timeframe: By default, the script auto-selects the best resolution (e.g., 1-minute data for hourly charts). Users can override this to fine-tune the granularity.
Volume MA Length: Defines the lookback period for the volume moving average.
Delta Volatility Threshold (Sigma): This is the sensitivity filter for signals. A higher value (e.g., 2.0) results in fewer but more significant signals. A lower value (e.g., 1.0) provides more frequent alerts.
Visual Logic: Users can toggle the Dashboard, Delta Histogram, and Moving Averages on or off to suit their charting aesthetic.
● Disclaimer
All provided scripts and indicators are strictly for educational exploration and must not be interpreted as financial advice or a recommendation to execute trades. I expressly disclaim all liability for any financial losses or damages that may result, directly or indirectly, from the reliance on or application of these tools. Market participation carries inherent risk where past performance never guarantees future returns, leaving all investment decisions and due diligence solely at your own discretion.
FX Master Confluence v41 (Smart TDI Filter)How to read your new Dashboard:
Top Row (The Boss): This is your 8-Hour WaveTrend status.
DARK GREEN: Strong Bull (Bias is Up & Above Zero). Aggressively look for buys.
LIGHT GREEN: Weak Bull (Bias is Up but Below Zero). Be cautious, could be a deep pullback.
DARK RED: Strong Bear (Bias is Down & Below Zero). Aggressively look for sells.
LTF Rows (15m - 6h):
"GOLDEN ZERO": This is the Holy Grail signal you asked for. The LTF WaveTrend just crossed the Zero line in agreement with the 8H Boss.
"REV SETUP": Standard reversal signal (useful, but lower confidence than Golden).
"TREND UP/DOWN": No signal right now, but tells you the flow of that specific timeframe.
FX Master Confluence v39 (Restored MAs) TDDHow to read your new Dashboard:
Top Row (The Boss): This is your 8-Hour WaveTrend status.
DARK GREEN: Strong Bull (Bias is Up & Above Zero). Aggressively look for buys.
LIGHT GREEN: Weak Bull (Bias is Up but Below Zero). Be cautious, could be a deep pullback.
DARK RED: Strong Bear (Bias is Down & Below Zero). Aggressively look for sells.
LTF Rows (15m - 6h):
"GOLDEN ZERO": This is the Holy Grail signal you asked for. The LTF WaveTrend just crossed the Zero line in agreement with the 8H Boss.
"REV SETUP": Standard reversal signal (useful, but lower confidence than Golden).
"TREND UP/DOWN": No signal right now, but tells you the flow of that specific timeframe.
Now you have a "Traffic Light" system. If the Top Row is RED, you ignore everything until you see a RED "GOLDEN ZERO" on your 15m or 1H chart.
Lindsey Measured Move Price TargetsLindsey is a pivot-structure target tool that auto-maps a simple 3-point swing sequence (P1 → P2 → P3) and projects a symmetry-based target (P4), then prints it as a clean “🎯” balloon on your chart. It’s designed to give traders a fast, repeatable way to visualize where the next measured move could resolve—without cluttering the price action.
How it works
The script detects pivot highs/lows using your chosen Left/Right Swing Bars (pivot confirmation).
It tracks a three-point structure:
Bull case: P1 = pivot low, P2 = pivot high, P3 = higher pivot low
Bear case: P1 = pivot high, P2 = pivot low, P3 = lower pivot high
Once a valid P3 prints, it calculates a projected target:
Bull target: P4 = P2 + (P2 − P3)
Bear target: P4 = P2 − (P3 − P2)
The target is displayed as a right-shifted balloon, so you can keep it visible ahead of current candles.
How to operate it (practical workflow)
Set Swing Sensitivity
Left Swing Bars / Right Swing Bars control how “strict” pivots are.
Lower values = more signals (noisier). Higher values = fewer, cleaner structures.
Place the balloon where you want it
Balloon Right Offset (bars) moves the 🎯 label forward in time for readability.
Vertical Offset nudges the label up/down in price units to avoid overlapping candles or other tools.
Lock or keep it live
Turn Lock Target Balloon ON to keep the last target fixed on-chart.
Leave it OFF to always display the most recent valid projection.
Style it to your theme
Customize bull/bear balloon colors, text color, and P1/P2/P3 marker colors.
Why it’s useful (benefits)
Clear targets without guesswork: turns swing structure into a consistent measured-move projection.
Less chart noise: one readable target balloon instead of multiple lines and annotations.
Works across assets/timeframes: pivots adapt naturally to volatility and timeframe.
Trader-friendly controls: offset + vertical spacing + lock mode make it easy to integrate with existing layouts.
Notes / best practices
Pivots confirm after the right-side bars complete—so targets are intentionally non-repainting in structure detection, but they appear with that normal pivot confirmation delay.
For choppy ranges, increase pivot bars to reduce whipsaw targets; for trends, slightly lower them to catch more swing opportunities.
Delta Volume Bubble [Quant Z-Score] by tncylyvDelta/Volume Bubble by tncylyv
This indicator is a quantitative order flow tool designed to visualize statistically significant volume and delta anomalies directly on the price chart. By moving away from raw, noisy volume numbers and utilizing Z-Score (Standard Score) statistics, this tool adapts to changing market volatility to highlight areas of heavy institutional interest or exhaustion.
It combines statistical analysis with Price Action concepts (Effort vs. Result) to detect "Absorption"—market conditions where high volume occurs with very little price movement.
1. Core Concepts & Methodology
A. Adaptive Z-Score (The "Quant" Logic)
Raw volume data is often difficult to interpret because volume fluctuates wildly between sessions (e.g., the Asian session typically has lower volume than the New York Open).
Instead of using a fixed volume threshold (e.g., "Alert me if volume > 1000"), this script calculates the Z-Score.
It measures how many Standard Deviations (
σ
) the current volume is from the historical average.
Significance: A Z-Score of +2.0 or higher puts the current candle in the top 5% of statistical occurrences, filtering out noise and highlighting true anomalies.
B. Absorption Detection (Effort vs. Result)
This feature identifies "Trapped Traders."
The Logic: If the Z-Score indicates extremely high volume (High Effort), but the price candle has a very small body (Low Result), it implies that aggressive market orders are being absorbed by passive limit orders.
Visual: These specific anomalies can be highlighted with a unique halo effect, signaling a potential reversal or stop-hunt area.
C. Intra-Bar True VWAP (Smart Placement)
Standard indicators usually plot symbols at the High, Low, or Close of a candle.
This script utilizes request.security_lower_tf to analyze the Lower Timeframe (LTF) structure of the specific bar.
It calculates the exact Volume Weighted Average Price (VWAP) of that single candle.
Benefit: The bubble is drawn exactly where the heaviest volume occurred inside the candle, providing a more accurate level for future Support/Resistance tests.
2. Key Features
Dual Data Modes: Switch seamlessly between Volume Delta (Buying vs. Selling pressure) or standard Total Volume.
Dynamic Sizing: Bubble sizes (Small, Medium, Large) scale automatically based on the intensity of the Z-Score.
Absorption Logic: Automatically flags candles where volume is high but price progression is stalled.
Adaptive Visuals: Colors and opacity can fade dynamically based on the strength of the signal, or remain solid based on user preference.
Alert System: Fully configurable alerts for Z-Score breakouts and Absorption detection.
3. How to Use
This tool is best used to identify Reversals and Breakout Validation.
Trend Exhaustion (Climax):
If price is trending up and a large "Bullish" bubble appears at the highs with a long upper wick or small body (Absorption), it may indicate buying exhaustion and passive selling.
Breakout Confirmation:
If price breaks a key support/resistance level accompanied by a Large Bubble (High Z-Score), it confirms institutional backing for the move.
Support/Resistance Defense:
The "True VWAP" location of the bubble often acts as a re-test level. If price retraces to the center of a previous large bubble, observe for a reaction.
4. Settings Guide
Data Settings
Calculation Source: Choose between Volume Delta (Up/Down tick analysis) or Regular Volume.
Lower TF Granularity: The timeframe used to calculate the specific "True VWAP" location inside the bar (e.g., 1S or 1M).
Statistical Lookback: The number of bars used to calculate the baseline Average and Standard Deviation (Default: 60).
Quant Logic
Calculation Mode:
Adaptive (Z-Score): Triggers based on relative statistical anomalies (Recommended).
Fixed: Triggers based on raw volume numbers.
Z-Score Threshold: The sensitivity level. 2.0 is standard; higher values (e.g., 3.0) will show fewer, more extreme signals.
Absorption Logic
Detect Absorption: Enables the calculation for small-bodied high-volume candles.
Absorption Ratio: Defines how "small" the body must be relative to the average to qualify as absorption (0.1 to 1.0).
Visuals
Theme: Switch between Dark (Mint/Coral) and Light (Royal/Sunset) themes.
Scale Size: If enabled, bubbles grow larger as the Z-Score increases.
Glow Effect: Adds a neon glow for better visibility on dark backgrounds.
________________________________________
Risk Disclaimer:
This indicator is for informational and educational purposes only. Volume and Delta analysis are subjective interpretation methods. Past performance, or statistical anomalies shown by this script, do not guarantee future results. Always manage your risk appropriately.
OCC Strategy Optimized (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide
## Introduction
The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets.
>
> **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com).
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## Key Features
### 1. Optimized Core Logic
- **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier.
- **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**.
### 2. Multi-Timeframe (MTF) Analysis
- **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend.
- **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes.
### 3. Advanced Risk Management
This script features a hierarchical exit system to protect your capital and lock in profits:
- **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry.
- **Delayed Trailing Stop Loss (TSL):**
- **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development.
- **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues.
- **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level.
### 4. Versatility
- **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA.
- **Trade Direction:** Toggle between Long-only, Short-only, or Both.
- **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks.
---
## User Input Guide
### Core Settings
- **Use Alternate Resolution?:** Enable this to use the MTF logic.
- **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be.
- **MA Type:** Select your preferred moving average smoothing method.
- **MA Period:** The length of the Open/Close averages.
- **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior.
### Risk Management Settings
- **Use Trailing Stop Loss?:** Enables the TSL system.
- **Trailing Stop %:** The distance the stop follows behind the price (Optimized Default: 1.5%).
- **TSL Activation % (Delay):** The profit % required before the TSL starts moving. (Optimized Default: 2.0% to ensure 0.5% profit is locked immediately).
- **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you.
- **Take Profit %:** Your ultimate profit target for the trade.
---
## How to Trade with This Strategy
1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross.
2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change.
3. **Manage the Trade:** Let the TSL work. With the default **2.0% Activation** and **1.5% Trail**, the strategy will automatically lock in **0.5% profit** the moment the threshold is hit, then follow the price higher.
4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity).
---
## Recommended Settings
1. Trialing < Activation
2. Check ranging
## Credits
Original Strategy by: **JustUncleL**
Optimized and Enhanced by: **Antigravity AI**
MarketMind LITEM🜁rketMind LITE ────────────────────
Essential Market Awareness, Reduced to Its Core
M🜁rketMind LITE is a lightweight market awareness tool designed to display essential situational context .
It provides basic orientation and movement awareness without interpretation, risk framing, diagnostics, or decision guidance.
This script is designed as a standalone awareness layer. It does not evaluate trade quality, issue signals, or influence decision-making.
WHAT IT DOES ────────────────────
M🜁rketMind LITE presents a minimal, static view of current market conditions focused entirely on awareness rather than analysis.
The system displays only essential context, allowing traders to stay oriented without introducing judgment, noise, or implied direction.
The script provides visibility into:
Time-of-day session context
Basic market regime classification (trending, range-bound, mixed)
Short-term momentum direction only (up, down, neutral)
A clean, static HUD display
M🜁rketMind LITE also includes a minimal visual state indicator that reflects recent price responsiveness, intended to be observed over time alongside the trader’s own experience.
The goal is to support awareness without influence .
HOW TO USE IT ────────────────────
M🜁rketMind LITE is not a signal generator.
It is designed to remain visible in the background of any chart, offering quiet orientation while traders rely entirely on their own process for analysis and execution.
Common use cases include:
Maintaining session awareness
Preserving context during focused trading periods
Reducing cognitive load while monitoring markets
M🜁rketMind LITE does not evaluate risk, alignment, or opportunity.
It simply shows what is happening.
DESIGN PHILOSOPHY ────────────────────
M🜁rketMind LITE is intentionally minimal.
It includes only essential awareness elements and excludes all interpretive or evaluative logic:
Situational context only
Directional momentum (up / down / neutral)
No diagnostics, confidence, or conviction framing
No process, risk, or quality assessment
Presentation controls only (HUD on/off, size, position)
Nothing is inferred.
Nothing is suggested.
This script shows market state without interpretation.
WHO IT IS FOR ────────────────────
M🜁rketMind LITE is suited for traders who:
Want passive situational awareness
Prefer minimal on-chart information
Already operate with a defined decision process
It is not designed for:
Analytical or diagnostic use
Risk evaluation or context synthesis
Traders seeking guidance or confirmation
IMPORTANT NOTES ────────────────────
M🜁rketMind LITE does not provide financial advice
No system can predict future price behavior
This tool is designed for awareness only
Used appropriately, M🜁rketMind LITE helps traders stay oriented without interference.
Antigravity OCC Strategy (MA 5 + Delayed TSL)# OCC Strategy Optimized (MA 5 + Delayed TSL) - User Guide
## Introduction
The **OCC Strategy Optimized** is an enhanced version of the classic **Open Close Cross (OCC)** strategy. This strategy is designed for high-precision trend following, utilizing the crossover logic of Open and Close moving averages to identify market shifts. This optimized version incorporates advanced risk management, multi-timeframe analysis, and a variety of moving average types to provide a robust trading solution for modern markets.
>
> **Special Thanks:** This strategy is based on the original work of **JustUncleL**, a renowned Pine Script developer. You can find their work and profile on TradingView here: (in.tradingview.com).
---
## Key Features
### 1. Optimized Core Logic
- **MA Period (Default: 5):** The strategy is tuned with a shorter MA length to reduce lag and capture trends earlier.
- **Crossing Logic:** Signals are generated when the Moving Average of the **Close** crosses the Moving Average of the **Open**.
### 2. Multi-Timeframe (MTF) Analysis
- **Alternate Resolution:** Use a higher timeframe (Resolution Multiplier) to filter out noise. By default, it uses $3 \times$ your current chart timeframe to confirm the trend.
- **Non-Repainting:** Includes an optional delay offset to ensure signals are confirmed and do not disappear (repaint) after the bar closes.
### 3. Advanced Risk Management
This script features a hierarchical exit system to protect your capital and lock in profits:
- **Fixed Stop Loss (Initial):** Protects against sudden market reversals immediately after entry.
- **Delayed Trailing Stop Loss (TSL):**
- **Activation Delay:** The TSL only activates after the trade reaches a specific profit threshold (e.g., 1%). This prevents being stopped out too early in the trade's development.
- **Ratchet Trail:** Once activated, the stop loss "ratchets" up/down, never moving backward, ensuring you lock in profits as the trend continues.
- **Take Profit (TP):** A fixed percentage target to exit the trade at a pre-defined profit level.
### 4. Versatility
- **12 MA Types:** Choose from SMA, EMA, DEMA, TEMA, WMA, VWMA, SMMA, HullMA, LSMA, ALMA, SSMA, and TMA.
- **Trade Direction:** Toggle between Long-only, Short-only, or Both.
- **Visuals:** Optional bar coloring to visualize the trend directly on the candlesticks.
---
## User Input Guide
### Core Settings
- **Use Alternate Resolution?:** Enable this to use the MTF logic.
- **Multiplier for Alternate Resolution:** How many charts higher the "filter" timeframe should be.
- **MA Type:** Select your preferred moving average smoothing method.
- **MA Period:** The length of the Open/Close averages.
- **Delay Open/Close MA:** Use `1` or higher to force non-repainting behavior.
### Risk Management Settings
- **Use Trailing Stop Loss?:** Enables the TSL system.
- **Trailing Stop %:** The distance the stop follows behind the price.
- **TSL Activation % (Delay):** The profit % required before the TSL starts moving.
- **Initial Fixed Stop Loss %:** Your hard stop if the trade immediately goes against you.
- **Take Profit %:** Your ultimate profit target for the trade.
---
## How to Trade with This Strategy
1. **Identify the Trend:** Look for the Moving Average lines (Close vs Open) to cross.
2. **Wait for Confirmation:** If using MTF, ensure the higher timeframe also shows a trend change.
3. **Manage the Trade:** Let the TSL work. Once the trade hits the activation threshold, the TSL will take over, protecting your runner.
4. **Position Sizing:** Adjust the `Properties` tab in the script settings to match your desired capital allocation (Default is 10% of equity).
---
## Credits
Original Strategy by: **JustUncleL**
Optimized and Enhanced by: **Antigravity AI**
CVD & Big Trade Detector By HKOverview The CVD & Big Trade Detector By HK offers a unique perspective on Cumulative Volume Delta (CVD). This indicator utilizes Floating Bars (Candles) to visualize the cumulative buying and selling pressure. This design allows you to clearly see the net delta of each specific candle relative to the cumulative trend.
Additionally, it integrates the "Big Trade" algorithm to highlight statistically significant volume anomalies (Whale activity) directly on the CVD bars.
How it Works Since standard volume data does not always provide buy/sell splitting, this script estimates intrabar pressure using price action logic:
Buying Pressure: Calculated based on the push from the Low to the Close.
Selling Pressure: Calculated based on the push from the High to the Close.
The indicator then calculates the Delta (Buy Vol - Sell Vol) and accumulates it.
Floating Bars: Instead of plotting from the zero-line, each bar opens at the previous CVD value and closes at the new cumulative value.
Teal/Green Bar: Net buying in the current period (CVD increased).
Maroon/Red Bar: Net selling in the current period (CVD decreased).
Key Features
Floating CVD Structure: Prevents the "barcode effect" common in histogram CVDs. It provides a clean, candle-like view of momentum accumulation.
Whale Detection:
The script calculates the moving average and standard deviation (Sigma) of the buying/selling volume.
Green Dots: Appear when buying volume exceeds the statistical threshold (Signifying a "Big Buy").
Red Dots: Appear when selling volume exceeds the statistical threshold (Signifying a "Big Sell").
Precise Positioning: Whale markers are plotted exactly at the closing value of the CVD bar, showing you exactly where the volume spike impacted the delta.
How to Use
Divergences: Look for situations where Price makes a Higher High, but the CVD Bars fail to make a new high (bearish divergence).
Absorption: If you see a Large Whale Dot on a very small CVD bar (doji-like), it indicates massive volume fighting for direction with little net result—often a sign of absorption or a pending reversal.
Trend Confirmation: Strong floating bars in the direction of the trend, accompanied by Whale Dots, confirm smart money participation.
Settings
Lookback Period: Defines the baseline for the statistical volume calculation (default: 50).
Sensitivity (Sigma): Adjusts how strict the "Whale" detection is (default: 3.0). Higher values = fewer, more significant signals.
Colors: Fully customizable colors for Up/Down bars and Buy/Sell markers.
Built with Pine Script™ v6
Smart Money Concepts - Absorption Smart Money Concepts - Absorption (SMC-ABS)
Absorption event detector using split-volume VWMA ribbons, entropy filtering, and elasticity validation
Overview
This indicator highlights potential absorption/defense events: moments where price touches a volume-weighted band and then rejects, while additional filters confirm that market conditions are not random/noisy.
What it plots
• Energy ribbons (bands): two split-volume VWMA ribbon sets - Buy-weighted (cyan) and Sell-weighted (magma).
• ABS markers: printed when touch + rejection + validation conditions are met (see Logic section).
• Dashboard (HUD): real-time metrics such as price/volume z-scores, delta, entropy state, and resonance momentum states.
Core logic
1) Volume engine
The script builds Buy Volume and Sell Volume series using one of two modes:
• Geometry (candle-range split): estimates buy/sell participation from the close position within the candle range.
• Intrabar (precise): uses lower-timeframe up/down volume to derive buy/sell flows when data is available.
2) Split-VWMA resonance score
For multiple periods (5, 10, 20, 30, 40, 50), the script computes:
• A standard SMA of price.
• A Buy-weighted VWMA of price (weighted by Buy Volume).
• A Sell-weighted VWMA of price (weighted by Sell Volume).
Resonance is derived from the normalized divergence between the SMA and the split VWMAs, aggregated across the available periods.
3) Validation filters
Signals can be filtered by the following components (each toggleable):
• Volume-weighted entropy: a fractal-efficiency style disorder metric (TR-sum vs range) adjusted by relative volume; high entropy blocks signals.
• Momentum alignment (resonance velocity) : direction filter requiring positive velocity for buy events and negative velocity for sell events.
• Elasticity (recoil vs penetration): rejection quality check based on the bounce-back strength relative to the penetration depth into the fast band.
Absorption event conditions (ABS markers)
ABS markers are generated using the fastest ribbon band (length 5) for the touch/rejection logic:
• Buy absorption: low touches/penetrates the Buy band and the candle closes back above it, with filters passing.
• Sell absorption: high touches/penetrates the Sell band and the candle closes back below it, with filters passing.
Note: acceleration/deceleration is displayed in the HUD as a state; the primary directional filter is the resonance velocity.
Settings
• Volume Model: choose Geometry or Intrabar.
• Intrabar LTF: lower timeframe used by the Intrabar model (only applies when Intrabar is selected).
• Global Lookback: lookback window used for z-score statistics and related calculations.
• Quantum Filters: toggles and thresholds for entropy, momentum alignment, and elasticity validation.
• Dashboard Settings :/ Energy Ribbons / Absorption Events: controls for visuals and filtering behavior.
Usage notes and limitations
• Signals are most reliable after candle close. On the forming candle, conditions can change until the bar closes.
• Results depend on the availability and quality of volume data for the selected symbol and exchange.
• The Geometry mode is an estimate based on candle structure; it is not tick-accurate order flow.
• Terms such as “quantum” and “physics” are metaphorical labels for statistical filters and validation heuristics.
Disclaimer
This tool is provided for analytical and educational use only. It does not constitute investment advice. Trading involves risk.
Important note about Intrabar data and TradingView plan limits
This indicator is volume-dependent. When using the Intrabar model, the best results typically come from very low intrabar timeframes such as 1 tick or 1 second (if your symbol and data feed support it). Please check your TradingView subscription plan and data entitlements - access to 1-second/1-tick lower timeframes is commonly restricted to higher-tier plans (often referred to as Premium/Ultra tiers). If intrabar data is not available, the script falls back to relative buy/sell volume estimation (Geometry mode), and results may be less precise.
High Volume Breakout DetectorThis indicator is a dedicated volume analysis tool displayed in a separate pane below the price chart. It visually highlights significant volume surges (spikes) by comparing the current bar's volume to a dynamic threshold based on a Simple Moving Average (SMA) of volume.
Key Concepts and Methodology:
- The core calculation uses a user-configurable Simple Moving Average (default: 20 periods) of historical volume to establish a baseline of "normal" trading activity.
- A customizable multiplier (default: 1.50, meaning 150% of the SMA) defines the threshold for a volume spike. When the current bar's volume meets or exceeds this threshold, it is classified as a spike—indicating unusually high participation that often accompanies breakouts, reversals, climaxes, or institutional activity.
- Volume bars are plotted as columns and colored based on two factors:
- Candle direction: Green shades for bullish candles (close ≥ open), red shades for bearish candles (close < open).
- Spike status: Brighter/solid colors for confirmed spikes, muted/translucent colors for normal volume. This candle-matched coloring helps traders quickly assess whether the surge supports buying pressure (green spike on up candle) or selling/distribution (red spike on down candle).
- Optional overlays include the volume SMA line (blue) and the dynamic threshold line (orange, plotted as circles for easy distinction).
Features and Customization:
- Fully adjustable inputs: SMA length, multiplier threshold, colors for up/down/normal/spike bars, and toggles for showing the SMA line, threshold line, or background highlighting on spikes.
- Built-in alert condition triggers reliably on volume spikes (≥ selected multiplier of SMA), with a constant message string including ticker, timeframe, volume value, and threshold reference.
How to Use:
- Add to any chart in a separate pane (overlay=false).
- Look for brighter colored volume bars as potential signals of conviction in price moves. For example:
- Green spikes on up candles may signal strong accumulation or breakout confirmation.
- Red spikes on down candles may indicate distribution or exhaustion selling.
- Combine with price action, support/resistance, or trend indicators for confluence.
- Ideal for day trading, swing trading, or spotting volume climaxes on stocks, forex, crypto, or futures across any timeframe.
The unique combination of candle-direction-matched coloring for spikes, visual threshold plotting, and focused spike highlighting provides clearer, more actionable insight into directional volume pressure compared to standard volume displays.
Candle Pattern Library [1CG]Candle Pattern Library
A comprehensive and easy-to-use Pine Script™ library for detecting single, two, and three-candle patterns. This library provides detailed pattern analysis including size classification, direction validation, and specific pattern identification.
Quick Start
1. Import the Library
import OneCleverGuy/CandlePatternLibrary/1 as CPL
2. Analyze Candles
Use the main analysis functions to detect patterns. You can analyze the current forming candle or confirmed historical candles.
// 1. Analyze candles (Current , Previous , and the one before )
// Note: We use full variable names for clarity.
CandleData candleNewest = CPL.analyzeCandle(open, high, low, close, 250, 50, 10, 50, 85)
CandleData candleMiddle = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
CandleData candleOldest = CPL.analyzeCandle(open , high , low , close , 250, 50, 10, 50, 85)
// 2. Analyze multi-candle patterns
// Pass candles in chronological order: Oldest -> Newest
var twoCandleData = CPL.analyzeTwoCandlePattern(candleMiddle, candleNewest, 10, 85)
var threeCandleData = CPL.analyzeThreeCandlePattern(candleOldest, candleMiddle, candleNewest)
Enums Reference
These are the Enum Types exported by the library. When checking results, use the pattern Alias.EnumType.Value (e.g., CPL.CandlePattern.Hammer).
CandlePattern
Enum Type for single-candle formations.
Usage: CPL.CandlePattern.
Values:
Unknown : No specific pattern detected.
RegularBullish : A standard bullish candle.
RegularBearish : A standard bearish candle.
BullishMarubozu : Bullish candle with little to no wicks.
BearishMarubozu : Bearish candle with little to no wicks.
Hammer : Small body at the top of the range (bullish reversal).
ShootingStar : Small body at the bottom of the range (bearish reversal).
SpinningTop : Small body centered in the range.
Doji : Open and close are effectively equal.
LongLeggedDoji : Doji with long upper and lower wicks.
CrossDoji : Doji with the body in the upper section.
DragonflyDoji : Doji where open/close are at the high.
InvertedCrossDoji : Doji with the body in the lower section.
GravestoneDoji : Doji where open/close are at the low.
FourPriceDoji : Open, High, Low, and Close are all equal.
TwoCandlePattern
Enum Type for two-candle formations.
Usage: CPL.TwoCandlePattern.
Values:
None : No two-candle pattern detected.
BullishEngulfingWeak : Bullish candle engulfs the previous body (close does not engulf range).
BullishEngulfingStrong : Bullish candle completely engulfs the previous body close outside range.
BearishEngulfingWeak : Bearish candle engulfs the previous body.
BearishEngulfingStrong : Bearish candle completely engulfs the previous body.
InsideBar : The second candle is completely contained within the first.
TweezerTop : Two candles with matching highs (bearish reversal).
TweezerBottom : Two candles with matching lows (bullish reversal).
BullishRailRoad : Two opposite Marubozus (Down -> Up).
BearishRailRoad : Two opposite Marubozus (Up -> Down).
ThreeCandlePattern
Enum Type for three-candle formations.
Usage: CPL.ThreeCandlePattern.
Values:
None : No three-candle pattern detected.
ThreeWhiteSoldiers : Three consecutive bullish candles.
ThreeBlackCrows : Three consecutive bearish candles.
ThreeWhiteSoldiersWithBullishFVG : Three White Soldiers containing a Bullish FVG.
ThreeWhiteSoldiersWithBearishFVG : Three White Soldiers containing a Bearish FVG.
ThreeBlackCrowsWithBullishFVG : Three Black Crows containing a Bullish FVG.
ThreeBlackCrowsWithBearishFVG : Three Black Crows containing a Bearish FVG.
MorningStar : Bearish -> Small/Doji -> Bullish (Bullish Reversal).
EveningStar : Bullish -> Small/Doji -> Bearish (Bearish Reversal).
BullishAbandonedBaby : Morning Star with gaps between all candles.
BearishAbandonedBaby : Evening Star with gaps between all candles.
EngulfingSandwich : Bearish -> Bullish (Engulfing) -> Bearish (Inside).
BullishFairValueGap : A gap between Candle 1 High and Candle 3 Low.
BearishFairValueGap : A gap between Candle 1 Low and Candle 3 High.
CandleSize
Enum Type for candle size classification.
Usage: CPL.CandleSize.
Values:
Short
Normal
Long
CandleDirection
Enum Type for candle direction classification.
Usage: CPL.CandleDirection.
Values:
Bearish
Neutral
Bullish
Function Reference
Analysis Functions
analyzeCandle(_open, _high, _low, _close, _avgSize, _sizeThresholdPct, _equivTolerance, _bodyTolerance, _positionThreshold)
analyzeCandle - Analyzes a single candle's OHLC data to determine its size, direction, and single-candle pattern.
Parameters:
_open (float) : (float) - Candle open price.
_high (float) : (float) - Candle high price.
_low (float) : (float) - Candle low price.
_close (float) : (float) - Candle close price.
_avgSize (float) : (float) - Baseline size (wick range) to compare against.
_sizeThresholdPct (float) : (float) - % difference from average to be considered Long/Short (e.g., 50.0).
_equivTolerance (float) : (float) - Absolute price diff for Close to equal Open (Doji checks).
_bodyTolerance (float) : (float) - Absolute price diff for "Small Body" checks.
_positionThreshold (int) : (int) - Int (0-100) determining valid wick ratios for Hammers/Shooting Stars (e.g., 85).
Returns: (CandleData) - CandleData object containing CandlePattern, CandleSize, CandleDirection.
analyzeTwoCandlePattern(_candle1, _candle2, _equivTolerance, _positionThreshold)
analyzeTwoCandlePattern - Analyzes two consecutive candles to find pairs like Engulfing, Tweezers, or Inside Bars.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (older) candle data (previous).
_candle2 (CandleData) : (CandleData) - The second (newer) candle data (current).
_equivTolerance (float) : (float) - Price tolerance for matching highs/lows (Tweezers).
_positionThreshold (int) : (int) - Threshold for wick validations.
Returns: (TwoCandleData) - TwoCandleData object containing TwoCandlePattern.
analyzeThreeCandlePattern(_candle1, _candle2, _candle3)
analyzeThreeCandlePattern - Analyzes three consecutive candles to find complex patterns like Morning Stars, Abandoned Babies, or Three White Soldiers.
Parameters:
_candle1 (CandleData) : (CandleData) - The first (oldest) candle data.
_candle2 (CandleData) : (CandleData) - The second (middle) candle data.
_candle3 (CandleData) : (CandleData) - The third (newest) candle data.
Returns: (ThreeCandleData) - ThreeCandleData object containing ThreeCandlePattern.
Naming Utilities
getPatternName(_pattern)
getPatternName - Returns the string name of a candle pattern.
Parameters:
_pattern (CandlePattern) : (CandlePattern) - The candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Hammer").
getTwoCandlePatternName(_pattern)
getTwoCandlePatternName - Returns the string name of a two-candle pattern.
Parameters:
_pattern (TwoCandlePattern) : (TwoCandlePattern) - The two-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Bullish Engulfing").
getThreeCandlePatternName(_pattern)
getThreeCandlePatternName - Returns the string name of a three-candle pattern.
Parameters:
_pattern (ThreeCandlePattern) : (ThreeCandlePattern) - The three-candle pattern enum value.
Returns: (string) - Human-readable pattern name (e.g., "Morning Star").
getSizeName(_size)
getSizeName - Returns the string name of a candle size.
Parameters:
_size (CandleSize) : (CandleSize) - The candle size enum value.
Returns: (string) - Human-readable size name ("Short", "Normal", or "Long").
getDirectionName(_direction)
getDirectionName - Returns the string name of a candle direction.
Parameters:
_direction (CandleDirection) : (CandleDirection) - The candle direction enum value.
Returns: (string) - Human-readable direction name ("Bullish", "Bearish", or "Neutral").
Density Zones (GM Crossing Clusters) + QHO Spin FlipsINDICATOR NAME
Density Zones (GM Crossing Clusters) + QHO Spin Flips
OVERVIEW
This indicator combines two complementary ideas into a single overlay: *this combines my earlier Geometric Mean Indicator with the Quantum Harmonic Oscillator (Overlay) with additional enhancements*
1) Density Zones (GM Crossing Clusters)
A “Density Zone” is detected when price repeatedly crosses a Geometric Mean equilibrium line (GM) within a rolling lookback window. Conceptually, this identifies regions where the market is repeatedly “snapping” across an equilibrium boundary—high churn, high decision pressure, and repeated re-selection of direction.
2) QHO Spin Flips (Regression-Residual σ Breaches)
A “Spin Flip” is detected when price deviates beyond a configurable σ-threshold (κ) from a regression-based equilibrium, using normalized residuals. Conceptually, this marks excursions into extreme states (decoherence / expansion), which often precede a reversion toward equilibrium and/or a regime re-scaling.
These two systems are related but not identical:
- Density Zones identify where equilibrium crossings cluster (a “singularity”/anchor behavior around GM).
- Spin Flips identify when price exceeds statistically extreme displacement from the regression equilibrium (LSR), indicating expansion beyond typical variance.
CORE CONCEPTS AND FORMULAS
SECTION A — GEOMETRIC MEAN EQUILIBRIUM (GM)
We define two moving averages:
(1) MA1_t = SMA(close_t, L1)
(2) MA2_t = SMA(close_t, L2)
We define the equilibrium anchor as the geometric mean of MA1 and MA2:
(3) GM_t = sqrt( MA1_t * MA2_t )
This GM line acts as an equilibrium boundary. Repeated crossings are interpreted as high “equilibrium churn.”
SECTION B — CROSS EVENTS (UP/DOWN)
A “cross event” is registered when the sign of (close - GM) changes:
Define a sign function s_t:
(4) s_t =
+1 if close_t > GM_t
-1 if close_t < GM_t
s_{t-1} if close_t == GM_t (tie-breaker to avoid false flips)
Then define the crossing event indicator:
(5) crossEvent_t = 1 if s_t != s_{t-1}
0 otherwise
Additionally, the indicator plots explicit cross markers:
- Cross Above GM: crossover(close, GM)
- Cross Below GM: crossunder(close, GM)
These provide directional visual cues and match the original Geometric Mean Indicator behavior.
SECTION C — DENSITY MEASURE (CROSSING CLUSTER COUNT)
A Density Zone is based on the number of cross events occurring in the last W bars:
(6) D_t = Σ_{i=0..W-1} crossEvent_{t-i}
This is a “crossing density” score: how many times price has toggled across GM recently.
The script implements this efficiently using a cumulative sum identity:
Let x_t = crossEvent_t.
(7) cumX_t = Σ_{j=0..t} x_j
Then:
(8) D_t = cumX_t - cumX_{t-W} (for t >= W)
cumX_t (for t < W)
SECTION D — DENSITY ZONE TRIGGER
We define a Density Zone state:
(9) isDZ_t = ( D_t >= θ )
where:
- θ (theta) is the user-selected crossing threshold.
Zone edges:
(10) dzStart_t = isDZ_t AND NOT isDZ_{t-1}
(11) dzEnd_t = NOT isDZ_t AND isDZ_{t-1}
SECTION E — DENSITY ZONE BOUNDS
While inside a Density Zone, we track the running high/low to display zone bounds:
(12) dzHi_t = max(dzHi_{t-1}, high_t) if isDZ_t
(13) dzLo_t = min(dzLo_{t-1}, low_t) if isDZ_t
On dzStart:
(14) dzHi_t := high_t
(15) dzLo_t := low_t
Outside zones, bounds are reset to NA.
These bounds visually bracket the “singularity span” (the churn envelope) during each density episode.
SECTION F — QHO EQUILIBRIUM (REGRESSION CENTERLINE)
Define the regression equilibrium (LSR):
(16) m_t = linreg(close_t, L, 0)
This is the “centerline” the QHO system uses as equilibrium.
SECTION G — RESIDUAL AND σ (FIELD WIDTH)
Residual:
(17) r_t = close_t - m_t
Rolling standard deviation of residuals:
(18) σ_t = stdev(r_t, L)
This σ_t is the local volatility/width of the residual field around the regression equilibrium.
SECTION H — NORMALIZED DISPLACEMENT AND SPIN FLIP
Define the standardized displacement:
(19) Y_t = (close_t - m_t) / σ_t
(If σ_t = 0, the script safely treats Y_t = 0.)
Spin Flip trigger uses a user threshold κ:
(20) spinFlip_t = ( |Y_t| > κ )
Directional spin flips:
(21) spinUp_t = ( Y_t > +κ )
(22) spinDn_t = ( Y_t < -κ )
The default κ=3.0 corresponds to “3σ excursions,” which are statistically extreme under a normal residual assumption (even though real markets are not perfectly normal).
SECTION I — QHO BANDS (OPTIONAL VISUALIZATION)
The indicator optionally draws the standard σ-bands around the regression equilibrium:
(23) 1σ bands: m_t ± 1·σ_t
(24) 2σ bands: m_t ± 2·σ_t
(25) 3σ bands: m_t ± 3·σ_t
These provide immediate context for the Spin Flip events.
WHAT YOU SEE ON THE CHART
1) MA1 / MA2 / GM lines (optional)
- MA1 (blue), MA2 (red), GM (green).
- GM is the equilibrium anchor for Density Zones and cross markers.
2) GM Cross Markers (optional)
- “GM↑” label markers appear on bars where close crosses above GM.
- “GM↓” label markers appear on bars where close crosses below GM.
3) Density Zone Shading (optional)
- Background shading appears while isDZ_t = true.
- This is the period where the crossing density D_t is above θ.
4) Density Zone High/Low Bounds (optional)
- Two lines (dzHi / dzLo) are drawn only while in-zone.
- These bounds bracket the full churn envelope during the density episode.
5) QHO Bands (optional)
- 1σ, 2σ, 3σ shaded zones around regression equilibrium.
- These visualize the current variance field.
6) Regression Equilibrium (LSR Centerline)
- The white centerline is the regression equilibrium m_t.
7) Spin Flip Markers
- A circle is plotted when |Y_t| > κ (beyond your chosen σ-threshold).
- Marker size is user-controlled (tiny → huge).
HOW TO USE IT
Step 1 — Pick the equilibrium anchor (GM)
- L1 and L2 define MA1 and MA2.
- GM = sqrt(MA1 * MA2) becomes your equilibrium boundary.
Typical choices:
- Faster equilibrium: L1=20, L2=50 (default-like).
- Slower equilibrium: L1=50, L2=200 (macro anchor).
Interpretation:
- GM acts like a “center of mass” between two moving averages.
- Crosses show when price flips from one side of equilibrium to the other.
Step 2 — Tune Density Zones (W and θ)
- W controls the time window measured (how far back you count crossings).
- θ controls how many crossings qualify as a “density/singularity episode.”
Guideline:
- Larger W = slower, broader density detection.
- Higher θ = only the most intense churn is labeled as a Density Zone.
Interpretation:
- A Density Zone is not “bullish” or “bearish” by itself.
- It is a condition: repeated equilibrium toggling (high churn / high compression).
- These often precede expansions, but direction is not implied by the zone alone.
Step 3 — Tune the QHO spin flip sensitivity (L and κ)
- L controls regression memory and σ estimation length.
- κ controls how extreme the displacement must be to trigger a spin flip.
Guideline:
- Smaller L = more reactive centerline and σ.
- Larger L = smoother, slower “field” definition.
- κ=3.0 = strong extreme filter.
- κ=2.0 = more frequent flips.
Interpretation:
- Spin flips mark when price exits the “normal” residual field.
- In your model language: a moment of decoherence/expansion that is statistically extreme relative to recent equilibrium.
Step 4 — Read the combined behavior (your key thesis)
A) Density Zone forms (GM churn clusters):
- Market repeatedly crosses equilibrium (GM), compressing into a bounded churn envelope.
- dzHi/dzLo show the envelope range.
B) Expansion occurs:
- Price can release away from the density envelope (up or down).
- If it expands far enough relative to regression equilibrium, a Spin Flip triggers (|Y| > κ).
C) Re-coherence:
- After a spin flip, price often returns toward equilibrium structures:
- toward the regression centerline m_t
- and/or back toward the density envelope (dzHi/dzLo) depending on regime behavior.
- The indicator does not guarantee return, but it highlights the condition where return-to-field is statistically likely in many regimes.
IMPORTANT NOTES / DISCLAIMERS
- This indicator is an analytical overlay. It does not provide financial advice.
- Density Zones are condition states derived from GM crossing frequency; they do not predict direction.
- Spin Flips are statistical excursions based on regression residuals and rolling σ; markets have fat tails and non-stationarity, so σ-based thresholds are contextual, not absolute.
- All parameters (L1, L2, W, θ, L, κ) should be tuned per asset, timeframe, and volatility regime.
PARAMETER SUMMARY
Geometric Mean / Density Zones:
- L1: MA1 length
- L2: MA2 length
- GM_t = sqrt(SMA(L1)*SMA(L2))
- W: crossing-count lookback window
- θ: crossing density threshold
- D_t = Σ crossEvent_{t-i} over W
- isDZ_t = (D_t >= θ)
- dzHi/dzLo track envelope bounds while isDZ is true
QHO / Spin Flips:
- L: regression + residual σ length
- m_t = linreg(close, L, 0)
- r_t = close_t - m_t
- σ_t = stdev(r_t, L)
- Y_t = r_t / σ_t
- spinFlip_t = (|Y_t| > κ)
Visual Controls:
- toggles for GM lines, cross markers, zone shading, bounds, QHO bands
- marker size options for GM crosses and spin flips
ALERTS INCLUDED
- Density Zone START / END
- Spin Flip UP / DOWN
- Cross Above GM / Cross Below GM
SUMMARY
This indicator treats the Geometric Mean as an equilibrium boundary and identifies “Density Zones” when price repeatedly crosses that equilibrium within a rolling window, forming a bounded churn envelope (dzHi/dzLo). It also models a regression-based equilibrium field and triggers “Spin Flips” when price makes statistically extreme σ-excursions from that field. Used together, Density Zones highlight compression/decision regions (equilibrium churn), while Spin Flips highlight extreme expansion states (σ-breaches), allowing the user to visualize how price compresses around equilibrium, releases outward, and often re-stabilizes around equilibrium structures over time.
