ICT Order Block Identifier [Eˣ]📦 Order Block Identifier
Overview
The Order Block Identifier automatically detects and displays institutional order blocks on your charts - zones where banks, hedge funds, and market makers place their orders. This indicator helps identify where institutions are likely to defend their positions and where price often finds support or resistance, based on ICT (Inner Circle Trader) concepts.
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🎯 What This Indicator Does
Detects Order Blocks:
• 🟢 Bullish Order Blocks (OB+) - Last bearish candle before strong bullish move
• 🔴 Bearish Order Blocks (OB-) - Last bullish candle before strong bearish move
• Automatically identifies institutional buying/selling zones
• Tracks up to 30 order blocks simultaneously
• Works on all timeframes and instruments
Smart Features:
• Auto-Timeframe Adjustment - Optimizes detection for 1min to Weekly charts
• Active Block Highlighting - Shows which OB price is approaching
• Touch Tracking - Knows when blocks are tested
• ATR-Based Detection - Adapts to each instrument's volatility
• Strength Filtering - Choose Low/Medium/High to control sensitivity
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📚 Understanding Order Blocks
What Are Order Blocks?
Order blocks are the "footprints" left behind by institutional traders (banks, hedge funds, market makers) when they enter large positions. Because institutions can't fill massive orders at once without moving the market, they:
1. Place orders gradually over time
2. Leave zones where their buy/sell orders are concentrated
3. Defend these zones when price returns
4. Create reliable support and resistance levels
The ICT Concept:
Developed by Michael Huddleston (Inner Circle Trader), order block theory states that:
• The last opposite-colored candle before a strong move contains institutional orders
• Price often returns to test these zones before continuing
• These zones act as strong support (bullish OB) or resistance (bearish OB)
• Smart money defends their positions at these levels
Why Order Blocks Work:
• Unfilled Orders: Institutions may still have pending orders in the block
• Position Defense: They protect their entries by adding to positions
• Stop Placement: Retail stops cluster near these zones (liquidity for institutions)
• Market Structure: Price respects these levels due to order flow dynamics
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🟢 Bullish Order Blocks Explained
How They Form:
1. Price is consolidating or declining
2. Institutions begin accumulating (buying)
3. A strong bullish move erupts
4. The last bearish candle before this move = Bullish Order Block
5. This candle represents where institutions were buying aggressively
Why The Last Bearish Candle?
• Institutions absorbed all selling pressure at this level
• Their buy orders filled as price was declining
• When price returns, they defend this zone with more buying
• It becomes a demand zone / support level
Trading Bullish Order Blocks:
Setup:
• Wait for price to retrace back to bullish OB (green box)
• Look for rejection/reversal pattern (pin bar, engulfing, etc.)
• Enter long when price bounces from the OB zone
• Stop loss: Below the order block
• Target: Recent high or opposite order block
Best Scenarios:
• OB aligns with other support (trendline, fibonacci, round number)
• First touch of OB (unmitigated) has highest probability
• Occurs during high-volume sessions (London/NY)
• Trend is bullish on higher timeframe
Example Trade:
• Bullish OB forms at $50,000 (last red candle before rally)
• Price rallies to $52,000 then retraces
• Price drops back to $50,100 (touching OB)
• Bullish pin bar forms on the OB
• Enter long at $50,200, stop at $49,800
• Target: $52,000+ (previous high)
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🔴 Bearish Order Blocks Explained
How They Form:
1. Price is consolidating or rising
2. Institutions begin distributing (selling)
3. A strong bearish move erupts
4. The last bullish candle before this move = Bearish Order Block
5. This candle represents where institutions were selling aggressively
Why The Last Bullish Candle?
• Institutions absorbed all buying pressure at this level
• Their sell orders filled as price was rising
• When price returns, they defend this zone with more selling
• It becomes a supply zone / resistance level
Trading Bearish Order Blocks:
Setup:
• Wait for price to retrace back to bearish OB (red box)
• Look for rejection/reversal pattern (shooting star, bearish engulfing)
• Enter short when price rejects from the OB zone
• Stop loss: Above the order block
• Target: Recent low or opposite order block
Best Scenarios:
• OB aligns with other resistance (trendline, fibonacci, round number)
• First touch of OB (unmitigated) has highest probability
• Occurs during high-volume sessions (London/NY)
• Trend is bearish on higher timeframe
Example Trade:
• Bearish OB forms at $48,000 (last green candle before drop)
• Price drops to $46,000 then retraces
• Price rallies back to $47,900 (touching OB)
• Bearish engulfing forms at the OB
• Enter short at $47,800, stop at $48,200
• Target: $46,000- (previous low)
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📊 How To Use This Indicator
Strategy 1: Order Block Retest (Classic)
Best For: Swing trading, capturing reversals
Timeframes: 15min, 1H, 4H, Daily
Win Rate: 60-70% (first touch)
Entry Rules:
1. Identify unmitigated order block (bright color, not gray)
2. Wait for price to return to the OB zone
3. Look for price action confirmation:
• Bullish OB: Pin bar, bullish engulfing, hammer
• Bearish OB: Shooting star, bearish engulfing, doji
4. Enter in the direction of the OB
5. Stop loss: Beyond the opposite side of OB (20-30 pips)
6. Target: 2-3R or opposite OB
Example:
• Bullish OB at $100-$102
• Price drops to $101.50 (enters OB)
• Bullish pin bar forms with low at $100.80
• Enter long at $102 (OB high), stop at $99.50
• Risk: $2.50, Target: $107.50 (3R)
Strategy 2: Break & Retest
Best For: Trend trading, breakout confirmation
Timeframes: 5min, 15min, 1H
Win Rate: 65-75%
Entry Rules:
1. Price breaks through an order block
2. Wait for pullback to the broken OB
3. The OB now acts as support (if broken up) or resistance (if broken down)
4. Enter when price respects the flipped OB
5. Stop: Inside the OB zone
6. Target: Next OB or structure level
Why It Works: Broken OBs flip polarity - support becomes resistance and vice versa
Strategy 3: Multi-Timeframe Confirmation
Best For: High-probability setups
Timeframes: Combine 1H + 4H or 15min + 1H
Win Rate: 70-80%
Entry Rules:
1. Identify order block on higher timeframe (4H or Daily)
2. Switch to lower timeframe (1H or 15min)
3. Wait for lower TF order block to form within higher TF OB
4. Trade the lower TF OB in direction of higher TF OB
5. Stop: Below lower TF OB
6. Target: Edge of higher TF OB or beyond
Why It Works: Alignment across timeframes = institutional consensus
Strategy 4: Order Block to Order Block
Best For: Range trading, swing entries
Timeframes: 1H, 4H
Win Rate: 55-65%
Entry Rules:
1. Identify both bullish OB below and bearish OB above
2. Price is ranging between these OBs
3. Enter long at bullish OB, target bearish OB
4. Enter short at bearish OB, target bullish OB
5. Stop: Beyond the trading OB
6. Exit at opposite OB
Why It Works: Price moves from one institutional zone to another
Strategy 5: Mitigation Fade
Best For: Aggressive scalping
Timeframes: 5min, 15min
Win Rate: 50-60% (higher risk)
Entry Rules:
1. Price approaches an order block
2. Instead of bouncing, price breaks through (mitigates it)
3. Enter immediately in direction of breakout
4. Stop: Back inside the mitigated OB
5. Quick target: 1-1.5R
Why It Works: When OB fails, it often leads to strong continuation
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⚙️ Settings Explained
Core Settings
Auto-Adjust for Timeframe (Default: ON)
• Automatically optimizes detection for current chart timeframe
• 1min: 3 bars lookback
• 5min: 4 bars lookback
• 15min: 5 bars lookback
• 1H: 6 bars lookback
• 4H: 8 bars lookback
• Daily+: 10-12 bars lookback
• Recommended: Keep ON for best results
Manual Detection Length (Default: 5)
• Only used when Auto-Adjust is OFF
• Number of bars to look back for the "last opposite candle"
• Lower (2-4): More sensitive, more blocks, more noise
• Higher (6-10): Less sensitive, fewer blocks, higher quality
• Recommended: Use Auto-Adjust instead
Display Settings
Show Bullish/Bearish Order Blocks
• Toggle each type on/off independently
• Customize colors for each OB type
• Tip: Match colors to your chart theme
Max Order Blocks to Display (Default: 10)
• Limits how many OBs are shown at once
• Lower (5-8): Cleaner chart, only recent blocks
• Higher (15-30): More historical context
• Recommended: 8-12 for most trading
Show Order Block Labels (Default: ON)
• Displays "OB+" and "OB-" text on blocks
• Shows 🎯 on active (nearest) block
• Turn OFF for minimal chart appearance
• Recommended: Keep ON for clarity
Extend Blocks (bars) (Default: 50)
• How far to extend OB boxes to the right
• Lower (20-30): Shorter boxes, less clutter
• Higher (100+): Longer boxes, easier to see
• Blocks auto-extend until mitigated or limit reached
• Recommended: 40-60 bars
Filters
Block Strength Filter (Default: Medium)
• Controls how strong a move must be to create an OB
• Low: 0.5x ATR move required - Many blocks, more noise
• Medium: 1x ATR move required - Balanced quality/quantity
• High: 1.5x ATR move required - Only strongest institutional moves
• Recommended for beginners: High
• Recommended for experienced: Medium
• Recommended for scalpers: Low
Min Block Size % (Default: 0.1)
• Minimum size of OB as percentage of price
• Filters out tiny, insignificant blocks
• Crypto: 0.1-0.3%
• Forex: 0.05-0.15%
• Stocks: 0.1-0.5%
• Adjust based on instrument volatility
Advanced Settings
Show Mitigated Blocks (Default: OFF)
• When ON: Shows gray boxes for "used" order blocks
• When OFF: Blocks disappear after mitigation
• Use ON: For learning and analysis
• Use OFF: For clean, active trading
Highlight Active Block (Default: ON)
• Highlights the nearest order block to current price
• Active block shown with 🎯 emoji and brighter color
• Helps focus on most relevant trading opportunity
• Recommended: Keep ON
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📱 Info Panel Guide
Bullish OB Count
• Number of active (unmitigated) bullish order blocks
• Higher number = More support zones below price
• Multiple bullish OBs = Strong demand structure
Bearish OB Count
• Number of active (unmitigated) bearish order blocks
• Higher number = More resistance zones above price
• Multiple bearish OBs = Strong supply structure
Bias Indicator
• ⬆ Bullish: More bullish OBs than bearish (demand > supply)
• ⬇ Bearish: More bearish OBs than bullish (supply > demand)
• ↔ Neutral: Equal OBs on both sides
• Trade in direction of bias for higher probability
Near Indicator
• Shows which OB price is closest to
• Displays distance as percentage
• Example: "Bull OB 0.85%" = Bullish OB is 0.85% below current price
• Watch for "Near" alerts to time entries
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📱 Alert Setup
This indicator includes 4 alert types:
1. Price Entering Bullish OB
• Fires when price touches a bullish order block
• Action: Watch for bounce/reversal pattern
• High-probability long setup developing
2. Price Entering Bearish OB
• Fires when price touches a bearish order block
• Action: Watch for rejection/reversal pattern
• High-probability short setup developing
3. New Bullish OB Detected
• Fires when a new bullish order block forms
• Action: Mark the zone for future retest
• New demand zone identified
4. New Bearish OB Detected
• Fires when a new bearish order block forms
• Action: Mark the zone for future retest
• New supply zone identified
To Set Up Alerts:
1. Click "Alert" button (clock icon)
2. Select "Order Block Identifier"
3. Choose your alert condition
4. Configure notification method
5. Click "Create"
Pro Tip: Set "Price Entering" alerts to catch trading opportunities in real-time
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💎 Pro Tips & Best Practices
✅ DO:
• First touch is best - Unmitigated OBs have highest win rate (60-70%)
• Wait for confirmation - Don't buy/sell just because price touched OB
• Use multiple timeframes - Higher TF OBs are stronger than lower TF
• Combine with structure - OB + trendline/support = high probability
• Trade with the bias - More bullish OBs = favor longs
• Respect mitigation - Once OB is mitigated, it's less reliable
• Use proper stop loss - Always place stops beyond the OB zone
• Consider session timing - OBs work best during London/NY sessions
⚠️ DON'T:
• Don't blindly buy/sell at OBs - Wait for confirmation
• Don't ignore mitigation - Gray blocks are much weaker
• Don't trade every OB - Quality over quantity
• Don't fight strong trends - OBs can be run through in strong momentum
• Don't use alone - Combine with price action, support/resistance
• Don't expect 100% win rate - Even best OBs fail sometimes (30-40% of time)
• Don't overtrade - Wait for A+ setups with confluence
🎯 Best Timeframes By Trading Style:
• Scalpers: 1min, 5min (quick OB touches)
• Day Traders: 5min, 15min, 1H (balanced view)
• Swing Traders: 1H, 4H, Daily (major institutional zones)
• Position Traders: 4H, Daily, Weekly (strongest OBs)
🔥 Best Instruments:
• Excellent: Forex major pairs (EUR/USD, GBP/USD), BTC, ETH, ES, NQ
• Good: Gold, Oil, Major indices, Large-cap stocks
• Moderate: Altcoins, small-cap stocks (more noise)
• Avoid: Very low liquidity instruments (OBs less reliable)
⏰ Best Times To Trade OBs:
• London Session (03:00-12:00 EST): Highest OB respect rate
• NY Session (08:00-17:00 EST): Strong OB reactions
• London-NY Overlap (08:00-12:00 EST): Best probability
• Asian Session: Lower probability, wait for London
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🎓 Advanced Order Block Concepts
Order Block Flips (Polarity Change)
When price breaks through an OB and closes beyond it:
• Bullish OB that's broken becomes bearish (support becomes resistance)
• Bearish OB that's broken becomes bullish (resistance becomes support)
• Trading: Watch for retest of broken OB from opposite side
Order Block Refinement
When multiple OBs form at similar level:
• Later OB "refines" or "replaces" the earlier one
• Use the most recent OB as the active zone
• Older OBs become less relevant
Order Block Clusters
Multiple OBs stacked close together:
• Creates a "super zone" of institutional interest
• Higher probability of reversal
• Wider zone for entries (more room for confirmation)
Fair Value Gaps + Order Blocks
When OB aligns with Fair Value Gap:
• Extremely high probability setup
• Price is drawn to fill the gap AND test the OB
• Double confluence = institutional magnet
Order Block Mitigation Types
• Full Mitigation: Price fully enters and closes inside OB
• Partial Mitigation: Price wicks into OB but closes outside
• False Mitigation: Quick touch then immediate rejection
• Partial/false mitigation = OB still somewhat valid
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📈 Common Order Block Patterns
Pattern 1: The Perfect Retest
• OB forms during strong move
• Price continues 100-200+ pips
• Price retraces back to OB
• Clean bounce with confirmation candle
• Highest probability pattern
Pattern 2: The Double Tap
• Price tests OB, bounces weakly
• Price tests same OB again
• Second test produces stronger reaction
• Second touch often better entry
Pattern 3: The Fake-Out
• Price breaks through OB
• Immediately reverses back
• "Stop hunt" or liquidity grab
• Enter after price reclaims OB
Pattern 4: The Ladder
• Multiple OBs stacked like stairs
• Price steps from one OB to next
• Each OB provides support/resistance
• Trade OB-to-OB movements
Pattern 5: The Failed OB
• Price crashes through OB without pause
• OB completely invalidated
• Often signals strong momentum
• Don't fight it, trade the breakout
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🚀 What Makes This Different?
Unlike basic support/resistance indicators, Order Block Identifier:
• ICT Methodology - Based on proven institutional concepts
• Auto-Timeframe Optimization - Works perfectly on all timeframes
• ATR-Based Detection - Adapts to each instrument's volatility
• Mitigation Tracking - Knows when blocks are no longer valid
• Active Block Highlighting - Shows most relevant opportunity
• Smart Filtering - Only shows high-quality institutional zones
• Visual Clarity - Clean, professional appearance
• Real-Time Updates - Blocks update as price action develops
Based On Professional Concepts:
• ICT Smart Money Concepts (SMC)
• Institutional order flow analysis
• Market maker behavior patterns
• Supply and demand zone theory
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🙏 If You Find This Helpful
• ⭐ Leave your feedback
• 💬 Share your experience in the comments
• 🔔 Follow for updates and new tools
Questions about Order Blocks? Feel free to ask in the comments.
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Version History
• v1.0 - Initial release with auto-timeframe detection and ATR-based strength filtering
Analyse de la tendance
SMC N-Gram Probability Matrix [PhenLabs]📊 SMC N-Gram Probability Matrix
Version: PineScript™ v6
📌 Description
The SMC N-Gram Probability Matrix applies computational linguistics methodology to Smart Money Concepts trading. By treating SMC patterns as a discrete “alphabet” and analyzing their sequential relationships through N-gram modeling, this indicator calculates the statistical probability of which pattern will appear next based on historical transitions.
Traditional SMC analysis is reactive—traders identify patterns after they form and then anticipate the next move. This indicator inverts that approach by building a transition probability matrix from up to 5,000 bars of pattern history, enabling traders to see which SMC formations most frequently follow their current market sequence.
The indicator detects and classifies 11 distinct SMC patterns including Fair Value Gaps, Order Blocks, Liquidity Sweeps, Break of Structure, and Change of Character in both bullish and bearish variants, then tracks how these patterns transition from one to another over time.
🚀 Points of Innovation
First indicator to apply N-gram sequence modeling from computational linguistics to SMC pattern analysis
Dynamic transition matrix rebuilds every 50 bars for adaptive probability calculations
Supports bigram (2), trigram (3), and quadgram (4) sequence lengths for varying analysis depth
Priority-based pattern classification ensures higher-significance patterns (CHoCH, BOS) take precedence
Configurable minimum occurrence threshold filters out statistically insignificant predictions
Real-time probability visualization with graphical confidence bars
🔧 Core Components
Pattern Alphabet System: 11 discrete SMC patterns encoded as integers for efficient matrix indexing and transition tracking
Swing Point Detection: Uses ta.pivothigh/pivotlow with configurable sensitivity for non-repainting structure identification
Transition Count Matrix: Flattened array storing occurrence counts for all possible pattern sequence transitions
Context Encoder: Converts N-gram pattern sequences into unique integer IDs for matrix lookup
Probability Calculator: Transforms raw transition counts into percentage probabilities for each possible next pattern
🔥 Key Features
Multi-Pattern SMC Detection: Simultaneously identifies FVGs, Order Blocks, Liquidity Sweeps, BOS, and CHoCH formations
Adjustable N-Gram Length: Choose between 2-4 pattern sequences to balance specificity against sample size
Flexible Lookback Range: Analyze anywhere from 100 to 5,000 historical bars for matrix construction
Pattern Toggle Controls: Enable or disable individual SMC pattern types to customize analysis focus
Probability Threshold Filtering: Set minimum occurrence requirements to ensure prediction reliability
Alert Integration: Built-in alert conditions trigger when high-probability predictions emerge
🎨 Visualization
Probability Table: Displays current pattern, recent sequence, sample count, and top N predicted patterns with percentage probabilities
Graphical Probability Bars: Visual bar representation (█░) showing relative probability strength at a glance
Chart Pattern Markers: Color-coded labels placed directly on price bars identifying detected SMC formations
Pattern Short Codes: Compact notation (F+, F-, O+, O-, L↑, L↓, B+, B-, C+, C-) for quick pattern identification
Customizable Table Position: Place probability display in any corner of your chart
📖 Usage Guidelines
N-Gram Configuration
N-Gram Length: Default 2, Range 2-4. Lower values provide more samples but less specificity. Higher values capture complex sequences but require more historical data.
Matrix Lookback Bars: Default 500, Range 100-5000. More bars increase statistical significance but may include outdated market behavior.
Min Occurrences for Prediction: Default 2, Range 1-10. Higher values filter noise but may reduce prediction availability.
SMC Detection Settings
Swing Detection Length: Default 5, Range 2-20. Controls pivot sensitivity for structure analysis.
FVG Minimum Size: Default 0.1%, Range 0.01-2.0%. Filters insignificant gaps.
Order Block Lookback: Default 10, Range 3-30. Bars to search for OB formations.
Liquidity Sweep Threshold: Default 0.3%, Range 0.05-1.0%. Minimum wick extension beyond swing points.
Display Settings
Show Probability Table: Toggle the probability matrix display on/off.
Show Top N Probabilities: Default 5, Range 3-10. Number of predicted patterns to display.
Show SMC Markers: Toggle on-chart pattern labels.
✅ Best Use Cases
Anticipating continuation or reversal patterns after liquidity sweeps
Identifying high-probability BOS/CHoCH sequences for trend trading
Filtering FVG and Order Block signals based on historical follow-through rates
Building confluence by comparing predicted patterns with other technical analysis
Studying how SMC patterns typically sequence on specific instruments or timeframes
⚠️ Limitations
Predictions are based solely on historical pattern frequency and do not account for fundamental factors
Low sample counts produce unreliable probabilities—always check the Samples display
Market regime changes can invalidate historical transition patterns
The indicator requires sufficient historical data to build meaningful probability matrices
Pattern detection uses standardized parameters that may not capture all institutional activity
💡 What Makes This Unique
Linguistic Modeling Applied to Markets: Treats SMC patterns like words in a language, analyzing how they “flow” together
Quantified Pattern Relationships: Transforms subjective SMC analysis into objective probability percentages
Adaptive Learning: Matrix rebuilds periodically to incorporate recent pattern behavior
Comprehensive SMC Coverage: Tracks all major Smart Money Concepts in a unified probability framework
🔬 How It Works
1. Pattern Detection Phase
Each bar is analyzed for SMC formations using configurable detection parameters
A priority hierarchy assigns the most significant pattern when multiple detections occur
2. Sequence Encoding Phase
Detected patterns are stored in a rolling history buffer of recent classifications
The current N-gram context is encoded into a unique integer identifier
3. Matrix Construction Phase
Historical pattern sequences are iterated to count transition occurrences
Each context-to-next-pattern transition increments the appropriate matrix cell
4. Probability Calculation Phase
Current context ID retrieves corresponding transition counts from the matrix
Raw counts are converted to percentages based on total context occurrences
5. Visualization Phase
Probabilities are sorted and the top N predictions are displayed in the table
Chart markers identify the current detected pattern for visual reference
💡 Note:
This indicator performs best when used as a confluence tool alongside traditional SMC analysis. The probability predictions highlight statistically common pattern sequences but should not be used as standalone trading signals. Always verify predictions against price action context, higher timeframe structure, and your overall trading plan. Monitor the sample count to ensure predictions are based on adequate historical data.
Alphabet Long Trigger (Björn)Alphabet Trigger Dezember 2025:
Kurs 267–269 €
grüne Kerze mit höherem Tief
Volumen-Lebenszeichen
Nasdaq nicht im Abwärtsmodus
Alphabet Momentum Pullback Strategy — Brief Description
This strategy targets high-quality pullbacks within a confirmed uptrend and enters a long position only when price, structure, volume, and market context align.
A trade is triggered when:
Price enters the buy zone between €267–€269, signaling a controlled pullback.
The chart forms the first green candle with a higher low, indicating buyers are returning.
Volume shows a positive uptick (at least above the recent average), confirming real demand.
The Nasdaq is not falling, ensuring the broader tech market is stable and not in risk-off mode.
The strategy avoids entries triggered solely by price and waits for multi-factor confirmation, reducing false breakouts and momentum traps. It is designed for disciplined swing traders who prioritize trend alignment, volume confirmation, and market context before entering a position.
MTF 4h Structure + FVG (CORRECTED)This is a fully customizable Multi-Timeframe (MTF) indicator for SMC traders. It overlays true Higher Timeframe market structure onto your current chart. While it defaults to the 4-Hour (4h) structure, you can easily change this to 1h, Daily, or Weekly in the settings to suit your strategy.
Key Features:
1. Dynamic MTF Overlay: Select any Higher Timeframe (HTF) in the settings. The script calculates true pivots on that timeframe and projects them onto your chart without repainting issues.
2. Active Dealing Range: Automatically displays the Swing High and Swing Low of the selected HTF.
3. Equilibrium (EQ): Marks the 50% level of the range to help you identify Premium (Sell) vs. Discount (Buy) zones.
4. HTF Fair Value Gaps (FVG): Detects and draws unmitigated FVGs from your selected timeframe, acting as high-probability POIs.
Visuals & Logic:
- Green/Red: Signals CHoCH (Trend Reversals).
- Gray: Signals BOS (Trend Continuation) - keeping the chart clean.
- Smart Calculation: Calculates structure explicitly on the HTF data to prevent false signals on lower timeframes.
How to use:
1. Add to your chart (e.g., 5m or 15m).
2. Open Settings -> Select your desired "Higher Timeframe" (Default is 4h).
3. Trade in the direction of the HTF Trend (Labels) and look for entries within HTF FVGs in the correct Discount/Premium zone.
MirrorPip ST Rolling Reversal This Strategy is a mean reversal strategy that focus on high gamma scripts.
You can set a condition for a X% move in Y candles and when that conditon is met, it will wait for supertrend to reverse.
For aggressive traders we have also added Martingale feature in it.
+ martingale is arithmatic martingale
* martingale is geometric martingale.
we have also added options mode, just incase you wish to trade in options as both buyer and seller.
The option mode also gives you flexibility to be a choose dynamic ATM/ITM/OTM strikes.
0 = ATM
LESS THAN 0 = ITM
GREATER THAN 0 = OTM
Additonal advanced settings :
We have added an optional reference supertrend, where you can refer to other script and its supertrend direction as dual confirmation.
you can even set the reference chart with other time frame than of current chart.
Also while firing order, you can fire orders in LOTS/DOLLARS.
There is a smart dashboard that helps you see the live P/L as well.
Price Action Ultimate LITE by 🅰🅻🅿 🇹🇷📌 Price Action Ultimate LITE by 🅰🅻🅿 🇹🇷
— Clean, Visual, and Trader-Friendly Price Action Tool
Price Action Ultimate LITE is a simplified but highly functional introduction to our full PRO model.
It offers a clean visual framework for Order Blocks , Breaker Blocks , Risk/Reward zones , a Trend Ribbon , and a real-time Trade Manager — all without automation or strategy execution.
Designed for discretionary traders who want structure, clarity and visual confidence — not complexity.
🟪 1 — Core Visual Layout
i.imgur.com
This panel demonstrates the visual foundation of the LITE version.
Blocks, labels, the MA ribbon and the R/R box adapt to the selected Pastel or Light theme.
Minimal, clean, easy to read — built for long screen-time.
🟩 2 — Order Blocks (OB / BB / MB)
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Detected block types:
Bullish / Bearish Order Blocks
Breaker Blocks (failed OBs that reverse direction)
Mitigation Blocks (inefficiency retests)
Visual controls for each block:
Styles: Gradient / Solid / Outline / Glass
Opacity 0–100
Theme-adaptive colors
Blocks auto-extend and auto-clean when invalidated.
🟧 3 — MA Ribbon (Trend Guide)
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The MA Ribbon provides trend context only .
It does not auto-trade or make long/short decisions.
Features:
Fast & slow MA with adjustable type (SMA / EMA / WMA / VWMA / Hull)
Ribbon style + opacity control
Smooth theme-based transitions
Optional colored candles
Clear trend awareness while keeping full discretion.
🟥 4 — Risk Management & R/R Box
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This section includes a dynamic Risk/Reward Box showing:
Entry level
Stop level
Target level (based on R:R multiplier)
Real-time risk/reward shading
You control:
Risk Amount (USD) → defines 1R
Risk Multiplier (R:R)
Max Trade Duration (timeout)
Label visibility & offsets
Zone colors & transparency
Instant visual risk clarity — no manual calculations.
🟦 5 — Alert System
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Included alerts:
Entry Alert (OB/BB Break)
Stop Loss Hit
Take Profit Hit
Timeout Alert
PnL Alert (threshold-based, optional)
Entry alerts confirm on bar close.
Exit alerts trigger immediately.
Timeouts show a ⏰ label on chart.
🟨 6 — Trade Manager (Real-Time Dashboard)
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A lightweight panel updated every bar.
Displays:
Position (Long / Short / Inactive)
Entry, Stop, Target
Floating PnL (based on 1R)
Last 10 Trades PnL
R:R ratio
Status (Active / Timeout Soon / Inactive)
Entry reason
Bars active
Entry history
The Trade Manager is informational only — no automation.
🟫 7 — Final Overview
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A complete look at how the system behaves in live market conditions.
Blocks, Ribbon, R/R Box and Trade Manager all work together seamlessly.
📝 Important Notes
This is a closed-source protected script .
It does not place, close, or manage trades.
All signals are discretionary.
Use replay mode before trading live.
Not financial advice; markets carry risk.
🙏 Acknowledgements
Inspired by the price-action research found across TradingView, including the work of JustUncleL and EmreKb .
This script, however, is a fully independent implementation built from the ground up.
🚀 Who Is LITE For?
✔ Traders who want clean structural guidance
✔ OB / Breaker / Mitigation Block users
✔ R:R-based discretionary traders
✔ Traders preparing for the PRO edition
✔ Anyone wanting a lightweight, modern PA tool
🌟 Enjoy Price Action Ultimate LITE.
Trade cleaner. Trade clearer. Trade with structure.
🔵 About This LITE Version (Before the PRO Edition)
Price Action Ultimate LITE is intentionally built as a lightweight introduction to the concepts behind the upcoming PRO version.
Instead of overwhelming traders with automation, multi-TF engines or advanced filtering, LITE focuses on:
Core OB / BB / MB mechanics
Simplified trend guidance
Clear visual risk mapping
Essential alerts
Real-time trade monitoring
The purpose is simple:
Build confidence with the fundamentals before stepping into the advanced PRO environment.
LITE shares the same visual style and OB logic family as PRO, but without:
Multi-TF anchored blocks
Smart OB validation
Auto-management features
Multi-stage TP logic
Break-even or trailing engines
Strength filters
Liquidity-layer mapping
Advanced dashboards
Many traders prefer LITE for its clarity — structure without noise.
🟢 Who Should Use LITE?
Traders who want a calm, focused chart
Users preparing for the PRO version
Visual OB/BB practitioners
Discretionary traders wanting structure (not automation)
Anyone needing a clean, stable PA toolkit
🟡 Why LITE First?
Learn OB/BB structure
Develop consistent R:R habits
Improve timing with alerts
Build discipline via the Trade Manager
Strengthen intuition before automation
🟠 Final Note
LITE is not a restricted trial.
It is a complete, fully usable tool on its own —
but also a natural gateway into the more advanced PRO ecosystem.
VWAP-Anchored MACD [BOSWaves]VWAP-Anchored MACD - Volume-Weighted Momentum Mapping With Zero-Line Filtering
Overview
The VWAP-Anchored MACD delivers a refined momentum model built on volume-weighted price rather than raw closes, giving you a more grounded view of trend strength during sessions, weeks, or months.
Instead of tracking two EMAs of price like a standard MACD, this tool reconstructs the MACD engine using anchored VWAP as the core input. The result is a momentum structure that reacts to real liquidity flow, filters out weak crossovers near the zero line, and visualizes acceleration shifts with clear, high-contrast gradients.
This indicator acts as a precise momentum map that adapts in real time. You see how weighted price is accelerating, where valid crossovers form, and when trend conviction is strong enough to justify execution.
It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
Theoretical Foundation
Traditional MACD compares the difference between two exponential moving averages of price.
This variant replaces price with anchored VWAP, making the calculation sensitive to actual traded volume across your chosen period (Session, Week, or Month).
Three principles drive the logic:
Anchored VWAP Momentum : Price is weighted by volume and aggregated across the selected anchor. The fast and slow VWAP-EMAs then expose how liquidity-corrected momentum is expanding or contracting.
Zero-Line Distance Filtering : Crossover signals that occur too close to the zero line are removed. This eliminates the common MACD problem of generating weak, directionless signals in choppy phases.
Directional Visualization : MACD line, signal line, histogram, candle colors, and optional diamond markers all react to shifts in VWAP-momentum, giving you a clean structural read on market pressure.
Anchoring VWAP to session, weekly, or monthly resets creates a systematic framework for tracking how capital flow is driving momentum throughout each trading cycle.
How It Works
The core engine processes momentum through several mapped layers:
VWAP Aggregation : Price × volume is accumulated until the anchor resets. This creates a continuous, liquidity-corrected VWAP curve.
MACD Construction : Fast and slow VWAP-EMAs define the MACD line, while a smoothed signal line identifies edges where momentum shifts.
Zero-Line Distance Filter : MACD and signal must both exceed a threshold distance from zero for a crossover to count as valid. This prevents fake crossovers during compression.
Visual Momentum Layers : It uses gradient line coloring to show bullish or bearish momentum, histogram shading to highlight energy shifts, cross dots to mark valid crossovers, optional buy/sell diamonds for execution cues, and candle coloring to display trend strength at a glance.
This layered structure ensures you always know whether momentum is strengthening, fading, or transitioning.
Interpretation
You get a clean, structural understanding of VWAP-based momentum:
Bullish Phases : MACD > Signal, histogram expands, candles turn bullish, and crossovers occur above the threshold.
Bearish Phases : MACD < Signal, histogram drives lower, candles shift bearish, and downward crossovers trigger below the threshold.
Neutral/Compression : Both lines remain near the zero boundary, histogram flattens, and signals are suppressed to avoid noise.
This creates a more disciplined version of MACD momentum reading - less noise, more conviction, and better alignment with liquidity.
Strategy Integration
Trend Continuation : Use VWAP-MACD crossovers that occur far from the zero line as higher-conviction entries.
Zero-Line Rejection : Watch for histogram contractions near zero to anticipate flattening momentum and potential reversal setups.
Session/Week/Month Anchors : Session anchor works best for intraday flows. Weekly or monthly anchor structures create cleaner macro momentum reads for swing trading.
Signal-Only Execution : Optional buy/sell diamonds give you direct points to trigger trades without overanalyzing the chart.
This indicator slots cleanly into any momentum-following system and offers higher signal quality than classic MACD variants due to the volume-weighted core.
Technical Implementation Details
VWAP Reset Logic : Session (D), Week (W), or Month (M)
Dynamic Fast/Slow VWAP EMAs : Fully configurable lengths, smoothing and anchor settings
MACD/Signal Line Framework : Traditional structure with volume-anchored input
Zero-Line Filtering : Adjustable threshold for structural confirmation
Dual Visualization Layers : MACD body + histogram + crosses + candle coloring
Optimized Performance : Lightweight, fast rendering across all timeframes
Optimal Application Parameters
Timeframes:
1- 15 min : Short-term momentum scalping and rapid trend shifts
30- 240 min : Balanced momentum mapping with clear structural filtering
Daily : Macro VWAP regime identification
Suggested Configuration:
Fast Length : 12
Slow Length : 26
Signal Length : 9
Zero Threshold : 200 - 500 depending on asset range
These suggested parameters should be used as a baseline; their effectiveness depends on the asset volatility, liquidity, and preferred entry frequency, so fine-tuning is expected for optimal performance.
Performance Characteristics
High Effectiveness:
Assets with strong intraday or session-based volume cycles
Markets where volume-weighted momentum leads price swings
Trend environments with strong acceleration
Reduced Effectiveness:
Ultra-choppy markets hugging the VWAP axis
Sessions with abnormally low volume
Ranges where MACD naturally compresses
Disclaimer
The VWAP-Anchored MACD is a structural momentum tool designed to enhance directional clarity - not a guaranteed predictor. Performance depends on market regime, volatility, and disciplined execution. Use it alongside broader trend, volume, and structural analysis for optimal results.
Momentum Candle by DNDFXMomentum Candle v2 is a simple yet powerful indicator designed to detect strong momentum candles based on candle body size and the ratio between the body and total wick.
This indicator is ideal for traders who focus on:
Momentum trading
Breakout strategies
XAUUSD (Gold) scalping
Supply & Demand / Smart Money Concepts (SMC) confirmation
🔧 How the Indicator Works
The indicator analyzes each candle and classifies it as a Bullish Momentum or Bearish Momentum candle when these conditions are met:
✅ The candle body exceeds the minimum size
✅ The total wick is smaller compared to the body
✅ The Body-to-Wick ratio meets the strength filter
Visual signals include:
Green background for bullish momentum
Red background for bearish momentum
Up/Down triangle markers as entry guidance
⚙️ Customizable Parameters
Min Body Size (Points) – Sets the minimum candle body size
Min Body : Wick Ratio – Controls how dominant the body is compared to the wicks
All parameters can be optimized according to your trading style and timeframe.
✅ Best Use Cases
This indicator is useful for:
Breakout confirmation
Momentum validation
Filtering false breakouts
Scalping and intraday trading on XAUUSD
🧠 Trading Tips
For better accuracy, combine this indicator with:
Support & Resistance
Supply & Demand zones
Break of Structure (BOS) / CHoCH
Best performance on M5 – H1 timeframes.
⚠️ DISCLAIMER
This indicator is a supporting tool, not a guaranteed profit system. Always apply proper risk management. You are fully responsible for your trading decisions.
Affirmify AI — Entry PrecisionAffirmify AI — Entry Precision is a multi-factor directional model with entry-quality filter and ATR-based SL/TP, synced with the Affirmify core engine.
What is Affirmify AI — Entry Precision?
Affirmify AI — Entry Precision is the TradingView front-end of the Affirmify core model.
It combines:
multi-timeframe trend filters
momentum & volatility conditions
an entry-quality check (candle body vs ATR)
ATR-based SL/TP engine
The script is designed to mirror the logic of the Affirmify Python backend used on AffirmifyHub.com.
Core idea
1.Score (core direction):
Built from ADX, EMA trend, RSI zone, MACD histogram, DI+/DI- and ATR volatility penalty.
Score ≥ +2 → BUY bias
Score ≤ −2 → SELL bias
Between −1 and +1 → no clear direction.
2.Higher-timeframe (MTF) confirmation:
Same style of scoring on a higher TF (default 4H).
If MTF direction conflicts with the main timeframe, the script will show “MTF conflict / NO TRADE” and block signals.
3.Entry quality filter:
Checks if the candle body is large enough vs ATR (Min body size (x ATR)).
Output:
CONFIRMED – direction + volatility + body are aligned
WAIT FOR BETTER ENTRY – direction ok, but body is too small
NO QUALITY ENTRY – conditions are not met.
4.ATR-based SL/TP engine:
Internal engine (uses ATR × multiplier or minimal tick distance).
Values are shown on the panel only (no lines drawn on chart), so the chart stays clean.
Panel overview
The panel in the top-right shows:
Action – BUY / SELL / NO TRADE
Status – CONFIRMED / WAIT FOR BETTER ENTRY / NO SIGNAL / MTF conflict
Entry – last confirmed entry price
SL / TP – suggested ATR-based stop-loss and take-profit
Higher TF – higher timeframe filter state (ON/OFF and TF used)
Score – core multi-factor score on the current timeframe
Vol – “Normal volatility” or “Low volatility (ATR penalized)”
Inputs – quick guide
Trend & Filters
EMA Fast / Mid / Slow – EMAs used for trend & bias detection
ADX Length – period for ADX (trend strength)
RSI Length – period for RSI zone filter
ATR Length – ATR used for volatility & body/SL/TP logic
Low ATR threshold (% of price) – defines when the market is considered “low volatility”.
Higher timeframe confirmation
Use higher timeframe filter – enable / disable MTF confirmation
Higher TF – e.g. 240 (4H), 60 (1H), etc.
Entry Precision
Min body size (x ATR) – minimum body vs ATR required for a CONFIRMED entry.
SL / TP
Min SL = ATR x – minimal ATR distance for SL
Min TP = ATR x – minimal ATR distance for TP
Min SL in ticks / Min TP in ticks – hard floor, based on instrument tick size.
Visuals
Show info panel – show / hide the top-right dashboard
Show status badges – textual badges above the last candle
Draw ENTRY/SL/TP (panel only, legacy) – kept for compatibility; does not draw lines in this version.
Alerts
The script provides three alert conditions:
Affirmify: BUY confirmed
Triggered when BUY direction is aligned and entry quality is CONFIRMED (no MTF conflict).
Affirmify: SELL confirmed
Triggered when SELL direction is aligned and entry quality is CONFIRMED (no MTF conflict).
Affirmify: wait for better entry
Direction is valid, but candle body is not yet strong enough – potential setup forming.
You can connect these alerts to your own automation, bots or dashboards.
How to use it (typical workflow)
Select your symbol and timeframe (most users focus on 1H / 4H).
Wait for the panel to show a clear Action (BUY or SELL) with a solid Score (≥ +2 or ≤ −2).
Look for Status = CONFIRMED for actual entries.
Use the panel SL / TP values as a starting point for your own risk management.
Avoid trades when:
Status shows “NO SIGNAL” or “NO CLEAR DIRECTION”
MTF conflict is active
Volatility is extremely low for your style.
Access & subscription
This is an invite-only script connected to the AffirmifyHub ecosystem.
Access is managed via private subscription on AffirmifyHub.com.
After activation you will receive TradingView access to this indicator from the author account.
For questions about access, licensing or private use, please contact the author via TradingView DM or through AffirmifyHub.
Important notice
This tool does not guarantee profits and should never be used as a standalone decision engine.
Always combine it with:
your own price action reading
multi-timeframe context
strict position sizing and risk management.
Markets are risky – never trade money you cannot afford to lose.Multi-factor directional model with entry-quality filter and ATR-based SL/TP levels, synced with the Affirmify core Python engine.
Multi-MA + Trend StatusMulti-MA + Trend Status is a streamlined trend analysis tool designed to simplify market state identification using a robust Moving Average (MA) crossover logic. By analyzing the relationship between price and three key Moving Averages (Fast, Medium, and Slow), this indicator instantly classifies the market into one of 9 distinct trend phases, displayed as a clean, non-intrusive text overlay on your chart.
Created by ivanpsh (MIT License).
Key Features
9 Distinct Trend States: Automatically detects and displays specific market conditions:
🟢 Bullish Phases: Uptrend, Bullish Crossover, Fast Bullish Crossover, Bottom Bounce.
🔴 Bearish Phases: Downtrend, Bearish Crossover, Fast Bearish Crossover, Top Pullback, Dead Cat Bounce.
Visual Simplicity: Displays the current market status in a large, transparent text overlay (Bottom Right by default) that provides instant clarity without cluttering your analysis.
Multi-Timeframe (MTF) Support: Monitor the trend of a higher timeframe (e.g., Daily) while trading on a lower timeframe (e.g., 5-minute) without switching charts.
Fully Configurable MAs:
Types: Supports SMA, EMA, RMA (Wilder's), WMA, and VWMA.
Lengths: Fully adjustable lengths (Defaults: 20, 50, 250).
Source: Calculation source is customizable (Close, Open, High, Low, HL2, etc.).
Integrated MA Overlay: Optionally view the actual Moving Average lines on the chart.
Color Coded: Fast (Purple), Medium (Orange), and Slow (Red) for easy differentiation.
Toggle: Lines are visible by default but can be hidden instantly via settings.
How It Works
The indicator logic compares the current Price against three Moving Averages (Default: 20, 50, 250) to determine the market "Health":
Uptrend: Price > 20 > 50 > 250 (Strongest Bullish Signal)
Downtrend: Price < 20 < 50 < 250 (Strongest Bearish Signal)
Crossovers: Identifies early reversals when Fast/Medium MAs cross the Slow MA.
Bounces & Pullbacks: Identifies specific retracement patterns (e.g., "Bottom Bounce" or "Top Pullback") where price interacts with MAs in a counter-trend move.
Settings Guide
Indicator Timeframe: Select the timeframe used for calculations (Default: Chart).
MA Type: Choose the averaging method (Default: SMA).
Visuals: Customize text size, screen position, and opacity.
Show 'No Match' Text: By default, the text overlay hides if the market is choppy and fits none of the 9 specific states. You can enable this to see a "No Logic Match" status instead.
This script is open-source under the MIT license. Feel free to use, study, and modify it for your own trading systems.
Multi-TF Quarter & Session Candle Indicator-aamirlang [Beta]Key Features:
Quarter Identification: It detects 90-minute HTF candles on 5-minute charts and labels them as Q1, Q2, Q3, Q4 for clear session tracking.
Session Identification (Asia, London, NY, PM): Identifies sessions on 15-minute and 60-minute charts and labels them automatically. So that you can visually see whats happening on Higher TimeFrame.
CISD Detection: Highlights Critical Swing Directions to pinpoint potential market reversals.
Sweep Detection: Automatically draws sweeps to indicate price levels tested or broken.
Multi-Timeframe Support: Works seamlessly on 1m, 5m, 15m, 60m, Daily, Weekly, and Monthly charts.
How It Works:
If you do not see higher TF Candles please enable them from the Menu.
Detects and prints HTF candle and automatically detects Quarters and Sessions.
Automatically maps 5m to 90m (Quarter of a Session) HTF and labels Q1/Q2/Q3/Q4 to each candle so that you can visually see how a session is going on and what to expect in comming sessions.
Automatically detects a Session and labels sessions Asia/London/NY/PM.
When working in Higher TF other that 4H, It prints Daily candles by labeling them.
Other timeframes show normal candle time or standard D/W/M formatting.
CISD module identifies critical swing directions.
Sweeps are drawn automatically to highlight tested levels.
By using this Indicator:
Quickly identify session and quarter candles without manual calculations.
Detect intraday swing directions and potential reversal zones.
Visualize volatility for better risk management.
Perfect for intraday, swing, and long-term analysis.
Credits:
Credit to: @traderdaye for Quarterly theory.
and to all the beautiful people on Tradingview who contributed.
Note:
This is free and version so it may contain error or bugs please leave a comment for any bugs, suggestions and queries.
Enjoy Trading.
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
Custom 2nd Candle HMAIts a simple hull moving avg script which connects the 2nd candle of 47 min time frame and ignoring everything else. This is specifically for NIFTY only. Why 47 min?? it perfectly divides the day into 8 candles. Why 2nd candle?? this is my personal observation that it is the actual noise free candle in a day .
How to use it- plot it on 5 min chart or in 1 min chart ,use ur own moving avg on 5min chart and the crossover technique works fine.
VOLX+ VWAP Range BandsVOLX+ plots multiple VWAP-weighted high/low channels across different lookback periods to show how price behaves relative to short-term and long-term value zones.
Instead of using a single VWAP line, this tool creates four rolling VWAP envelopes:
Short-term range (fast reaction)
Mid-term range
Mid-mid range (transitional layer)
Long-term range (macro context)
Each band is computed as:
VWAP-High = SMA(high × volume, length) ÷ SMA(volume, length)
VWAP-Low = SMA(low × volume, length) ÷ SMA(volume, length)
This produces dynamic price channels that account for both price and traded volume, offering a clearer sense of where the market is accepting or rejecting value.
What It Shows
Four VWAP-weighted high/low bands
A short-term VWAP midline
Price line
Three SMAs for trend context
Optional visibility switches for each VWAP band
The filled regions between VWAP highs and lows create a layered “value map,” helping you interpret:
Trend continuation (price hugging outer VWAP bands)
Mean reversion (price returning toward inner bands)
Volatility contraction/expansion
Shifts in short-term vs long-term balance
🧠 How to Use
Use the short-term band for day-trading context or detecting short-term excess.
Use mid-term and mid-mid bands to confirm developing structure.
Use the long-term VWAP band to understand broader value zones.
Combine VWAP bands with SMAs and structure analysis for confluence.
This indicator is intended for price interpretation and analytical support.
✔ Does Not Repaint
The script uses rolling VWAP formulas and standard MAs; everything is stable and non-repainting.
Relative Value & Risk Analytics DashboardThis is your risk-adjusted alpha analysis tool - exactly what hedge fund and insurance company clients want to see.
Attractiveness Score | Composite score combining RV and Risk (0-100)
Relative Performance | vs Benchmark (SET/SPY), RS Ratio Trend, 52W Position, Spread Z-Score
Risk Metrics | Beta, Alpha, Sharpe, Sortino, Information Ratio, Volatility
Correlation | Benchmark Correlation, R-Squared, Regime Change Detection
Pair Trade | Peer Correlation, Pair Z-Score, Long/Short Signals
Factor Exposure | Momentum (1/3/6M), Mean Reversion Signal, Distance from SMA50
Drawdown | Current DD, Max DD, Recovery Needed, Ulcer Index, Calmar, VaR
Key Features:
Benchmark-Relative Analysis: Compare any stock vs SET Index or any other benchmark
Pair Trade Signals: Automatically generates long/short signals based on Z-score
Risk-Adjusted Returns: Sharpe, Sortino, Information Ratio - what your clients actually care about
Regime Change Detection: Alert when correlation dynamics shift
Drawdown Risk: VaR, Ulcer Index, Calmar Ratio for risk-conscious clients
Kinetic EMA & Volume with State EngineKinetic EMA & Volume with State Engine (EMVOL)
1. Introduction & Concept
The EMVOL indicator converts a dense family of EMA signals and volume flows into a compact “state engine”. Instead of looking at individual EMA lines or simple crossovers, the script treats each EMA as part of a kinetic vector field and classifies the market into interpretable states:
- Trend direction and strength (from a grid of prime‑period EMAs).
- Volume regime (expansion, contraction, climax, dry‑up).
- Order‑flow bias via delta (buy versus sell volume).
- A combined scenario label that summarises how these three layers interact.
The goal is educational: to help traders see that moving averages and volume become more meaningful when observed as a structure, not as isolated lines. EMVOL is therefore designed as a real‑time teaching tool, not as an automatic signal generator.
2. Volume Settings
Group: “Volume Settings”
A. Calculation Method
- Geometry (Source File) – Default mode.
Buy and sell volume are estimated from each candle’s geometry: the close is compared to the high/low range and the bar’s total volume is split proportionally between buyers and sellers. This approximation works on any TradingView plan and does not require lower‑timeframe data.
- Intrabar (Precise) – Reconstructs buy/sell volume using a lower timeframe via requestUpAndDownVolume(). The script asks TradingView for historical intrabar data (e.g., 15‑second bars) and builds buy/sell volume and delta from that stream. This mode can produce a more accurate view of order flow, but coverage is limited by your account’s history limits and the symbol’s available lower‑timeframe data.
B. Intrabar Resolution (If Precise)
- Intrabar Resolution (If Precise) – Selected only when the calculation method is “Intrabar (Precise)”. It defines which lower timeframe (for example 15S, 30S, 1m) is used to compute up/down volume. Smaller intrabar timeframes may give smoother and more granular deltas, but require more historical depth from the platform.
When “Intrabar (Precise)” is active, the dashboard’s extended section shows the resolution and the number of bars for which precise volume has been successfully retrieved, in the format:
- Mode: Intrabar (15S) – where N is the count of bars with valid high‑resolution volume data.
In Geometry mode this counter simply reflects the processed bars in the current session.
3. Kinetic Vector Settings
Group: “Kinetic Vector”
A. Vector Window
- Vector Window – Controls the temporal smoothing applied to the aggregated vectors (trend, volume, delta, etc.). Internally, each bar’s vector value is averaged with a simple moving window of this length.
- Shorter windows make the state engine more reactive and sensitive to local swings.
- Longer windows make the states more stable and better suited to higher‑timeframe structure.
B. Max Prime Period
- Max Prime Period – Sets the largest prime number used in the EMA grid. The engine builds a family of EMAs on prime lengths (2, 3, 5, 7, …) up to this limit and converts their slopes into angles.
- A higher limit increases the number of long‑horizon EMAs in the grid and makes the vectors sensitive to broader structure.
- A lower limit focuses the analysis on short- and medium‑term behaviour.
C. Price Source
- Price Source – The price series from which the kinetic EMA grid is built (e.g., Close, HLC3, OHLC4). Changing the source modifies the context that the state engine is reading but does not change the core logic.
4. State Engine Settings
Group: “State Engine Settings”
These inputs define how the continuous vectors are translated into discrete states.
A. Trend Thresholds
- Strong Trend Threshold – Value above which the trend vector is treated as “extreme bullish” and below which it is “extreme bearish”.
- Weak Trend Threshold – Inner boundary between neutral and directional conditions.
Roughly:
- |trend| < weak → Neutral trend state.
- weak < |trend| ≤ strong → Bullish/Bearish.
- |trend| > strong → Extreme Bullish/Extreme Bearish.
B. Volume Thresholds
- Volume Climax Threshold – Upper bound at which volume is considered “climax” (unusually expanded participation).
- Volume Expansion Threshold – Boundary for normal expansion versus contraction.
Conceptually:
- Volume above “expansion” indicates increasing activity.
- Volume near or above “climax” marks extreme participation.
- Negative values below the symmetric thresholds map to contraction and extreme dry‑up (liquidity vacuum) states.
C. Delta Thresholds
- Strong Delta Threshold – Cut‑off for extreme buying or selling dominance in delta.
- Weak Delta Threshold – Threshold for mild buy/sell bias versus neutral order flow.
Combined with the sign of the delta vector, these thresholds classify order flow as:
- Extreme Buy, Buy‑Dominant, Neutral, Sell‑Dominant, Extreme Sell.
D. State Hysteresis Bars
- State Hysteresis Bars – Minimum number of bars for which a new state must persist before the engine commits to the change. This prevents the dashboard from flickering during fast spikes and emphasises persistent market behaviour.
- Smaller values switch states quickly; larger values demand more confirmation.
5. Visual Interface
Group: “Visual Interface”
A. Ribbon Base Color
- Ribbon Base Color – Base hue for the multi‑layer EMA ribbon drawn around price. The script plots a dense grid of hidden EMAs and fills the gaps between them to form a semi‑transparent band. Narrow, overlapping bands hint at compression; wider separation hints at dispersion across EMA horizons.
B. Show Dashboard
- Show Dashboard – Toggles the on‑chart table which summarises the current state engine output. Disable this if you only want to keep the EMA ribbon and volume‑based structure on the price chart.
C. Color Theme
- Color Theme – Switch between a dark and light style for the dashboard background and text colours so that the table matches your chart theme.
D. Table Position
- Table Position – Places the dashboard at any corner or edge of the chart (Top / Middle / Bottom × Left / Centre / Right).
E. Table Size
- Table Size – Changes the dashboard’s text size (Tiny, Small, Normal, Large). Use a larger size on high‑resolution screens or when streaming.
F. Show Extended Info
- Show Extended Info – Adds diagnostic rows under the main state summary:
- Mode / Primes / Vector – Shows the current calculation mode (Geometry / Intrabar), the selected intrabar resolution and coverage in bars ( ), how many prime periods are active, and the vector window.
- Values – Displays the current aggregated vectors:
- P: price vector
- V: volume vector
- B: buy‑volume vector
- S: sell‑volume vector
- D: delta vector
Values are bounded between ‑1 and +1.
- Volume Stats – Prints the last bar’s raw buy volume, sell volume and delta as formatted numbers.
- Footer – A final row with the symbol and current time: #SYMBOL | HH:MM.
These extended rows are meant for inspecting how the engine is behaving under the hood while you scroll the chart and compare different assets or timeframes.
6. Language Settings
Group: “Language Settings”
- Select Language – Switches the entire dashboard between English and Turkish.
The underlying calculations and scenario logic are identical; only the labels, titles and comments in the table are translated.
7. Dashboard Structure & Reading Guide
The table summarises the current situation in a few rows:
1. System Header – Shows the script name and the active calculation method (“Geometry” or “Intrabar”).
2. Scenario Title – High‑level description of the current combined scenario (e.g., “Trending Buy Confirmed”, “Sideways Balanced”, “Bull Trap”, “Blow‑Off Top”). The background colour is derived from the scenario family (trending, compression, exhaustion, anomaly, etc.).
3. Bias / Trend Line – States the dominant trend bias derived from the trend vector (Extreme Bullish, Bullish, Neutral, Bearish, Extreme Bearish).
4. Signal / Consideration Line – A short sentence giving qualitative guidance about the current state (for example: continuation risk, exhaustion risk, trap‑like behaviour, or compression). This is deliberately phrased as a consideration, not as a direct trading signal.
5. Trend / Volume / Delta Rows – Three separate rows explain, in plain language, how the trend, volume regime and delta are classified at this bar.
6. Extended Info (optional) – Mode / primes / vector settings, current vector values, and last‑bar volume statistics, as described above.
Together, these rows are meant to be read as a narrative of what price, volume and order‑flow are doing, not as mechanical instructions.
8. State Taxonomy
The state engine organizes market behaviour in three stages.
8.1 Trend States (from the Price Vector)
- Extreme Bullish Trend – The prime‑grid price vector is strongly upward; most EMAs are aligned to the upside.
- Bullish Trend – Upward bias is present, but less extreme.
- Neutral Trend – EMAs are mixed or flat; price is effectively sideways relative to the grid.
- Bearish Trend – Downward bias, with the EMA grid sloping down.
- Extreme Bearish Trend – Strong downside alignment across the grid.
8.2 Volume Regime States (from the Volume Vector)
- Volume Climax (Buy‑Side) – Strong positive volume vector; participation is unusually high in the current direction.
- Volume Expansion – Activity above normal but below the climax threshold.
- Neutral Volume – No major expansion or contraction versus recent history.
- Volume Contraction – Activity is drying up compared with the past.
- Extreme Dry‑Up / Liquidity Vacuum – Very low participation; the market is thin and prone to slippage.
8.3 Delta Behaviour States (from the Delta Vector)
- Extreme Buy Delta – Buying pressure dominates strongly.
- Buy‑Dominant Delta – Buy volume exceeds sell volume, but not at an extreme.
- Neutral Delta – Buy and sell flows are roughly balanced.
- Sell‑Dominant Delta – Selling pressure dominates.
- Extreme Sell Delta – Aggressive, one‑sided selling.
8.4 Combined Scenario State s
EMVOL uses the three base states above to generate a single scenario label. These scenarios are designed to be read as context, not as entry or exit signals.
Trending Scenarios
1. Trending Buy Confirmed
- Bullish or extreme bullish trend, supported by expanding or climax volume and buy‑side delta.
- Educational idea: a healthy uptrend where both participation and order flow agree with the direction.
2. Trending Buy – Weak Volume
- Bullish trend, but volume is neutral, contracting or in dry‑up while delta is still buy‑side.
- Educational idea: price is advancing, yet participation is thinning; trend continuation becomes more fragile.
3. Trending Sell Confirmed
- Bearish or extreme bearish trend, with expanding or climax volume and sell‑side delta.
- Educational idea: strong downtrend with both volume and order‑flow confirmation.
4. Trending Sell – Weak Volume
- Bearish trend, but volume is neutral, contracting or very low while delta remains sell‑side.
- Educational idea: downside continues but with limited participation; vulnerable to short‑covering.
Sideways / Range Scenarios
5. Sideways Balanced
- Neutral trend, neutral delta, neutral volume.
- Classic range environment; low directional edge, suitable for observation and context rather than trend trading.
6. Sideways with Buy Pressure
- Neutral trend, but buy‑side delta is dominant or extreme.
- Range with latent accumulation: price may still appear sideways, but buyers are quietly more active.
7. Sideways with Sell Pressure
- Neutral trend with dominant or extreme sell‑side delta.
- Distribution‑like environment where price chops while sellers are gradually more aggressive.
Exhaustion & Volume Extremes
8. Exhaustion – Buy Risk
- Extreme bullish trend, volume climax and strong buy‑side delta.
- Educational idea: very strong up‑move where both participation and delta are already stretched; risk of exhaustion or blow‑off.
9. Exhaustion – Sell Risk
- Extreme bearish trend, volume dry‑up and strong sell‑side delta.
- Suggests one‑sided selling into increasingly thin liquidity.
10. Volume Climax (Buy)
- Neutral trend, neutral delta, but volume at climax levels.
- Often associated with a “big event” bar where participation spikes without a clear directional commitment.
11. Volume Climax (Sell / Dry‑Up)
- Neutral trend and neutral delta, while the volume vector indicates an extreme dry‑up.
- Highlights a stand‑still episode: very limited interest from both sides, increasing the sensitivity to future impulses.
Divergences
12. Divergence – Bullish Context
- Bullish or extreme bullish trend, but delta has faded back to neutral.
- Price trend continues while order‑flow conviction softens; can precede pauses or complex corrections.
13. Divergence – Bearish Context
- Bearish or extreme bearish trend with a neutral delta.
- Downtrend persists, but selling pressure no longer dominates as clearly.
Consolidation & Compression
14. Consolidation
- Default state when no specific pattern dominates and the market is broadly balanced.
- Educational use: treat this as a “no strong edge” label; focus on structure rather than direction.
15. Breakout Imminent
- Neutral trend with contracting volume.
- Compression phase where energy is building up; often precedes transitions into trending or shock scenarios.
Traps & Hidden Divergences
16. Bull Trap
- Bullish trend, with neutral or contracting volume and sell‑side delta.
- Price appears strong, but order‑flow shifts against it; often seen near fake breakouts or failing rallies.
17. Bear Trap
- Bearish trend, neutral or contracting volume, but buy‑side delta.
- Downtrend “looks” intact, while buyers become more aggressive underneath the surface.
18. Hidden Bullish Divergence
- Bullish trend, contracting volume, but strong buy‑side delta.
- Educational idea: price dips or slows while aggressive buyers step in, often inside an ongoing uptrend.
19. Hidden Bearish Divergence
- Bearish trend, volume expansion and strong sell‑side delta.
- Reinforced downside pressure even if price is temporarily retracing.
Reversal & Transition Patterns
20. Reversal to Bearish
- Neutral trend, volume climax and strong sell‑side delta.
- Suggests that heavy selling appears at the top of a move, turning a previously neutral or rising context into potential downside.
21. Reversal to Bullish
- Neutral trend, extreme volume dry‑up and strong buy‑side delta.
- Often associated with selling exhaustion where buyers start to take control.
22. Indecision Spike
- Neutral trend with extreme volume (climax or dry‑up) but neutral delta.
- Crowd participation changes sharply while order‑flow remains undecided; treat as an informational spike rather than a direction.
Extended Compression & Acceleration
23. Coiling Phase
- Neutral trend, contracting volume, and delta that is neutral or only mildly one‑sided.
- Extended compression where price, volume and delta all contract into a tightly coiled range, often preceding a strong move.
24. Bullish Acceleration
- Bullish trend with volume expansion and strong buy‑side delta.
- Uptrend not only continues but gains kinetic strength; educationally, this illustrates how trend, volume and delta align in the strongest phases of a move.
25. Bearish Acceleration
- Bearish trend with volume expansion and strong sell‑side delta.
- Mirror image of Bullish Acceleration on the downside.
Trend Exhaustion & Climax Reversal
26. Bull Exhaustion
- Bullish or extreme bullish trend, with contraction or dry‑up in volume and buy‑side or neutral delta.
- The move has already travelled far; participation fades while price is still elevated.
27. Bear Exhaustion
- Bearish or extreme bearish trend, with volume climax or contraction and sell‑side or neutral delta.
- Down‑move may be approaching a point where additional selling pressure has diminishing impact.
28. Blow‑Off Top
- Extreme bullish trend, volume climax and extreme buy delta all at once.
- Classic blow‑off behaviour: price, volume and order‑flow are simultaneously stretched in the same direction.
29. Selling Climax Reversal
- Extreme bearish trend with extreme volume dry‑up and extreme sell‑side delta.
- Marks a very aggressive capitulation phase that can precede major rebounds.
Advanced VSA / Anomaly Scenarios
30. Absorption
- Typically neutral trend with expanding or climax volume and extreme delta (either buy or sell).
- Educational focus: large participants are aggressively absorbing liquidity from the opposite side, while price remains relatively contained.
31. Distribution
- Scenario where volume remains elevated while directional conviction weakens and the trend slows.
- Represents potential “selling into strength” or “buying into weakness”, depending on the active side.
32. Liquidity Vacuum
- Combination of thin liquidity (extreme dry‑up) with a directional trend or strong delta.
- Highlights environments where even small orders can move price disproportionately.
33. Anomaly / Shock Event
- Triggered when the vector z‑scores detect rare combinations of price, volume and delta behaviour that deviate from their own historical distribution.
- Intended as a warning label for unusual events rather than a specific tradeable pattern.
9. Educational Usage Notes
- EMVOL does not produce mechanical “buy” or “sell” commands. Instead, it classes each bar into an interpretable state so that traders can study how trends, volume and order‑flow interact over time.
- A common exercise is to overlay your usual EMA crossovers, support/resistance or price patterns and observe which EMVOL scenarios appear around entries, exits, traps and climaxes.
- Because the vectors are normalized (bounded between ‑1 and +1) and then discretized, the same conceptual states can be compared across different symbols and timeframes.
10. Disclaimer & Educational Purpose
This indicator is provided strictly as an educational and analytical tool. Its purpose is to help visualise how price, volume and order‑flow interact; it is not designed to function as a stand‑alone trading system.
Please note:
1. No Automated Strategy – The script does not implement a complete trading strategy. Scenario labels and dashboard messages are descriptive and should not be followed as unconditional entry or exit signals.
2. No Financial Advice – All information produced by this indicator is general market analysis. It must not be interpreted as investment, financial or trading advice, or as a recommendation to buy or sell any instrument.
3. Risk Warning – Trading and investing involve substantial risk, including the risk of loss. Always perform your own analysis, use appropriate position sizing and risk management, and consult a qualified professional if needed. You are solely responsible for any decisions made using this tool.
4. Data Precision & Platform Limits – The “Intrabar (Precise)” mode depends on the availability of high‑resolution historical data at the chosen intrabar timeframe. If your TradingView plan or the symbol’s history does not provide sufficient depth, this mode may only partially cover the visible chart. In such cases, consider switching to “Geometry (Source File)” for a fully populated view.
TTM Squeeze Pro Enhanced v1.5.1 [pyrevo]# TTM Squeeze Pro Enhanced
**Version:** 1.5.1
**Author:** pyrevo
**License:** MPL 2.0
## Credits
This indicator is a collective work based on the contributions of the TradingView community:
* **John Carter**: Creator of the original TTM Squeeze and TTM Squeeze Pro concepts.
* **Lazybear**: Original interpretation of the TTM Squeeze (Squeeze Momentum Indicator).
* **Makit0**: Evolution of Lazybear's script to factor in TTM Squeeze Pro upgrades (Squeeze PRO Arrows).
* **marsrides**: Some aesthetics solutions.
* **Beardy_Fred**: The base code from which this enhanced version was derived.
## Overview
**TTM Squeeze Pro Enhanced** is a professional-grade momentum and volatility indicator designed to identify explosive breakout opportunities. It is a refined version of the community's collective works, with amendments primarily to the Squeeze Conditions and visual aesthetics to provide a clearer, more actionable reading of market state.
### The Concept
For those unfamiliar with the TTM Squeeze, it is a visual way of seeing how Bollinger Bands (standard deviations from a simple moving average) relate to Keltner Channels (average true range bands) compared with the momentum of the price action.
The concept is that as Bollinger Bands compress within Keltner Channels, price volatility decreases, giving way for a potential explosive price movement up or down.
### TTM Squeeze vs. TTM Squeeze Pro
* **Original TTM Squeeze:** Uses a 1.5 ATR Keltner Channel.
* **TTM Squeeze Pro (Enhanced):** Uses 1.0, 1.5, and 2.0 ATR Keltner Channels.
This helps differentiate between levels of squeeze (compression). The greater the compression (Bollinger Bands moving deeper into tighter Keltner Channels), the more potential for explosive moves.
## Indicator Analysis
### 1. Squeeze Detection (Dots)
The colored dots along the zero line represent the state of market volatility. This enhanced version uses a distinct color palette to indicate compression levels:
* **🔴 Red Dots (High Compression):** Extreme squeeze. One or both Bollinger Bands are inside the 1.0 ATR Keltner Channel.
* **🟠 Orange Dots (Medium Compression):** Significant squeeze. One or both BBs are inside the 1.5 ATR Keltner Channel.
* **⚪ Gray Dots (Low Compression):** Standard squeeze. One or both BBs are inside the 2.0 ATR Keltner Channel.
* **◽ Light Gray Dots (No Squeeze):** Volatility is normal or expanding. Squeeze has "fired".
### 2. Momentum (Histogram)
The histogram bars show price momentum relative to the squeeze:
* **Bright Green:** Positive, increasing momentum (Bullish).
* **Dark Green:** Positive, decreasing momentum (Bullish exhaustion).
* **Bright Red:** Negative, increasing momentum (Bearish).
* **Dark Red:** Negative, decreasing momentum (Bearish exhaustion).
### 3. Dual Momentum System
An optional secondary system to gauge trend strength:
* **Fast & Slow Momentum Lines:** Moving averages of the momentum to help identify crossovers.
* **Trend Crossovers:** Triangle markers indicate when fast momentum crosses slow momentum.
## Ideal Scenario
As the ticker enters the squeeze, **Gray dots** would warn of the beginning of a low compression squeeze. As the Bollinger bands continue to constrict, **Orange dots** would highlight a medium compression. As the price action and momentum continues to compress, a **Red dot** shows warning of high compression.
As price action leaves the squeeze, the coloring would reverse (Red → Orange → Gray → Light Gray). Any compression squeeze is considered "fired" at the first Light Gray dot that appears.
*Note: This is an ideal progression, however any type of squeeze sequence may appear at anytime.*
## Entry and Exit Guide
* **Entry:** John Carter recommends entering a position after at least 5 dots of compression (Gray/Orange/Red) or waiting for the first "No Squeeze" dot (Light Gray) to appear with confirming momentum.
* **Exit:** Exit on the second bar of decreasing momentum (Dark Green or Dark Red), or remain in the position after confirming a continuing trend through a separate indicator.
## Settings & Customization
* **Timeframe:** Built-in Multi-Timeframe (MTF) support allowing you to view higher-timeframe squeeze signals on lower-timeframe charts.
* **Appearance Modes:**
* **Default:** Standard enhanced palette.
* **Modern:** High-contrast palette (Teal/Red/Gold).
* **Classic MACD:** Traditional Blue/Orange line configuration.
* **Dashboard:** An on-chart table providing real-time data on squeeze status, momentum value, and trend strength.
KIMATIX S|R Zones Intra-SwingKIMATIX S|R Zones Intra-Swing is a higher-timeframe support–resistance engine designed to map the most important swing levels for intraday and swing traders.
The script scans Daily and 4H price action, detects wick-based swing highs and lows,
and converts them into clean S/R zones that project into the future.
Zones are color-coded by timeframe and by role (support or resistance),
giving you an instant visual map of where price is most likely to react.
When price breaks cleanly through a zone,
it dynamically flips (resistance → support or support → resistance),
so your levels always reflect the current market structure.
To avoid clutter, only the closest zones around current price are displayed – ideal for planning entries, targets, and stop placement.
Use it as a higher-timeframe roadmap and combine it with your intraday execution system for precise, high-confluence trades.
DWMY OHLCShows the prior D/W/M/Y OHLC levels with precise horizontal segments that update at each new session. Great for spotting reaction zones, sweeps, and bias shifts at important levels.
Monthly and Yearly levels are toggled off by default to avoid clutter, but can of course be toggled back on in the settings
KIMATIX S|R Zones ScalpKIMATIX S|R Zones Scalp is a multi-timeframe support–resistance engine built for intraday scalpers and day traders.
The script automatically detects swing highs/lows on higher timeframes and converts them into precise S/R zones that extend into the future.
Each zone is visualized as a clean price band, color-coded by timeframe (15m / 5m) and by role (support or resistance).
When price breaks decisively through a zone, that level dynamically flips from resistance to support (or vice versa), keeping the map always up to date.
To avoid chart clutter, only the closest zones around current price are displayed, giving you an ultra-clean “trade map” with the most actionable levels for entries, partials, and stops.
Perfect for scalping indices, futures, FX, and crypto.
Key Features
Automatic 15m and 5m support & resistance zone detection
Wick-based swing identification for precise levels
Dynamic role flip: resistance → support and support → resistance after breaks
Distance-based filtering: shows only the nearest zones around price
Adjustable zone width, lookback and projection length
Separate colors for HTF/LTF and for support vs. resistance
Works on any symbol and intraday timeframe
Use it as a standalone S/R map or as a confluence layer with orderflow, volume or trend tools.
Ghost Super EMAGhost Super EMA: Dynamic Dual-Filter Trend System
Indicator Overview
The GHOST SUPER EMA is a robust trend-following indicator designed to give traders a comprehensive view of trend direction, volatility, and bias. It achieves this by combining a unique mashup of two distinct Supertrend bands with a single Exponential Moving Average (EMA).
The result is a triple-layered visualization of the market's structure: the two Supertrend bands form a Dynamic Cloud for visual support/resistance, and the EMA provides a crucial speed confirmation filter.
Core Components & Technical Justification
The core of this indicator functions powerfully on the current chart timeframe when the Timeframe input is left blank. The components are combined to create a unique, layered filtration system:
Outer Supertrend (Factor 3.35): This is the Macro-Trend Boundary. Its higher factor creates a slower, wider band that acts as the primary threshold for trend direction, preventing noise-related whipsaws often seen with standard settings.
Inner Supertrend (Factor 1.67): This is the Volatility Boundary. Its lower factor makes it quicker and measures current market momentum. It provides an early alert for volatility contraction or expansion within the established macro-trend.
Supertrend Cloud: The visual area between the two Supertrend bands represents a Dynamic Support/Resistance Zone. The cloud's width reflects market volatility. Price trading within this zone signals potential consolidation or momentum loss. Its color is determined by the Close price relative to the Outer Supertrend.
EMA (Length 20): This is the Speed Confirmation Filter. A classic trend measurement, its color (Green/Red) serves as an independent velocity check, validating the primary trend signal from the Supertrend Cloud.
Trading Signals and Confirmation
A confirmed trading bias requires the simultaneous alignment of both the Cloud and the EMA:
🟢 Bullish Confirmation (Go Long): The Supertrend Cloud is Green (Price above Outer ST) AND the EMA is Green (Price above EMA).
🔴 Bearish Confirmation (Go Short): The Supertrend Cloud is Red (Price below Outer ST) AND the EMA is Red (Price below EMA).
Optional Advanced Filtering: Multi-Timeframe (MTF) Tool
The Timeframe input is optional and serves as an advanced filter for obtaining market context.
Function: By entering a Higher Timeframe (HTF) value (e.g., entering "4H" or "D"), the indicator uses the request.security() function to fetch all three components (Dual Supertrend and EMA) from that stable, larger timeframe.
Utility: This anchors trading decisions to the macro-trend, filtering out lower-timeframe noise and false signals. Traders can ensure their entries on a fast chart (e.g., 5-minute) are aligned with the dominant trend of the chosen higher timeframe (e.g., 1-hour). If the input is left blank, the indicator runs on the current chart's timeframe.
Customizable Settings
The following inputs are available for user configuration:
ATR Length: Period for Average True Range calculation (Default: 10).
Supertrend Factor 1: Factor for the Outer (Slow) Supertrend (Default: 3.35).
Supertrend Factor 2: Factor for the Inner (Fast) Supertrend (Default: 1.67).
EMA Length: Period for the Exponential Moving Average (Default: 20).
Timeframe: Optional MTF input. Leave blank for current chart timeframe (Default: "").
Disclaimer: Past performance is not indicative of future results. This indicator is a tool for technical analysis and should not be used as the sole basis for trading decisions.
5MA+スーパートレンド + Disparity Scalping (SIMPLE FILTER)5MA + ATR Trend Filter + Disparity Scalping
This indicator combines a five-EMA trend framework, an ATR-based trailing trend line, a volatility breakout detector, and an ultra-fast scalping module using RSI and custom momentum prediction.
It is designed for both trend continuation and rapid reversal trading.
🔹 Main Components
1️⃣ Five-EMA Trend Framework
Uses 9 / 20 / 50 / 100 / 200 EMAs
Identifies short-term and long-term market direction
Provides dynamic support and resistance
Helpful for determining breakout vs. pullback conditions
2️⃣ ATR-Based Trailing Trend Line
Uses ATR multiplier to build a trailing stop line
Color change indicates directional shift
Works as a trend filter or trailing stop reference
Helps avoid counter-trend trades during strong trends
3️⃣ High-Volatility Breakout Detector (Optimized for Fast Markets)
Uses ATR expansion, Bollinger band breakout, and volatility comparison (HV vs RV)
Detects sudden market acceleration
Generates breakout BUY/SELL signals when volatility pressure aligns with direction
Useful for explosive markets such as gold or crypto, but compatible with all assets
4️⃣ Ultra-Fast Disparity Scalper
Measures price distance from EMA5 and EMA10
Uses RSI for exhaustion filtering
Predicts momentum turns with a custom RVI-based algorithm
Generates early reversal BUY/SELL signals before full market reaction
Designed for scalping in high-speed environments
5️⃣ Simple Overheat Filter
Blocks trades in extremely overbought/oversold zones
Gray signals indicate low-quality trade setups to avoid
Helps remove “chasing” entries during excessive deviation
🎯 Best Use Cases
Scalping fast reversals
Entering trends after confirmed volatility breakouts
Filtering entries during extreme overbought/oversold phases
Combining EMA structure with breakout momentum
⚠️ Important Notice
This tool is designed to support decision making, not guarantee trade results.
For best performance, combine with:
Price action (market structure)
Volume/volatility context
Support and resistance analysis
🏷️ Short Description (for compact summary)
Five-EMA trend structure with ATR trailing filter, volatility breakout detection, and ultra-fast scalping using RSI + momentum prediction. Suitable for both rapid reversals and trend continuation setups.
MA Strategy: Dual Entry FilterConfigurable MA Dual-Filter Strategy
This strategy is an enhanced and highly configurable Moving Average (MA) Crossover system designed to mitigate false signals and align trades with the prevailing market trend. It is built to offer traders granular control over entry criteria, elevating it beyond basic, built-in MA crossover indicators.
Originality & Key Features
The script's originality and utility lie in the combination of its two primary, optional filtering mechanics:
Dual Entry Mode (Key Filter): Users can choose between two distinct methods for trade entry:
Crossover (Classic): Immediate entry when the price crosses the main MA.
Full Candle Confirmation (Unique Feature): This mode requires the entire candle body (open, high, low, and close) to be completely above or below the main MA after a crossover event to confirm the signal before entry. This strict confirmation helps to filter out weak crossovers, reducing whipsaws in choppy markets.
Optional Trend Filter: A second, slower MA (Trend Filter MA) can be activated. Trades are only permitted when the faster main MA is aligned with the slower Trend MA (i.e., long only if main MA > Trend MA), ensuring trades are executed with the established higher-timeframe direction.
How to Use the Strategy
The strategy logic is built on simple MA principles but utilizes Pine Script's switch function to allow users to select from six different MA types for both the main signal and the trend filter: SMA, EMA, WMA, HMA, VWMA, and RMA.
Core Logic:
Signal: A cross of the price over the Main MA (filtered by the chosen Entry Mode).
Directional Filter: The Trend Filter must confirm the direction (if enabled).
Exit: Trades are exited on the opposite price crossover of the Main MA.
Customizable Settings Include:
Main MA Type & Length (Default: 40 EMA): The primary signal generator.
Trend Filter MA Type & Length (Default: 70 EMA): The optional, slower trend bias.
Entry Mode: Switch between Crossover or Full Candle Confirmation.
Strategy Results and High-Risk Disclaimer
The default setting for trade size is set to 40% of equity for backtesting demonstration purposes only. This high value is used to generate a large and diverse sample size of trades for historical review on the chart.
This 40% value is NOT a recommended setting for live trading. Per TradingView guidelines, traders are strongly advised to change this input to a sustainable risk level, typically 5% to 10% of equity per trade. Past performance is not a guarantee of future results.






















