🔍 Kernel Market Dynamics🔍 Kernel Market Dynamics Pro - Advanced Distribution Divergence Detection System
OVERVIEW
Kernel Market Dynamics Pro (KMD Pro) is a revolutionary market regime detection system that employs Maximum Mean Discrepancy (MMD) - a cutting-edge statistical technique from machine learning - to identify when market behavior diverges from its recent historical distribution patterns. The system transforms complex statistical divergence analysis into actionable trading signals through kernel density estimation, regime classification algorithms, and multi-dimensional visualization frameworks that reveal hidden market transitions before traditional indicators can detect them.
WHAT MAKES IT ORIGINAL
While conventional indicators measure price or momentum divergence, KMD Pro analyzes distribution divergence - detecting when the statistical properties of market returns fundamentally shift from their baseline state. This approach, borrowed from high-frequency trading and quantitative finance, uses kernel methods to map market data into high-dimensional feature spaces where regime changes become mathematically detectable. The system is the first TradingView implementation to combine MMD with real-time regime visualization, making institutional-grade statistical arbitrage techniques accessible to retail traders.
HOW IT WORKS (Technical Methodology)
1. KERNEL DENSITY ESTIMATION ENGINE
Maximum Mean Discrepancy (MMD) Calculation:
The core innovation - measures distance between probability distributions:
• Maps return distributions to Reproducing Kernel Hilbert Space (RKHS)
• Computes empirical mean embeddings for reference and test windows
• Calculates supremum of mean differences across all RKHS functions
• MMD = ||μ_P - μ_Q||_H where H is the RKHS induced by kernel k
Three Kernel Functions Available:
RBF (Radial Basis Function) Kernel:
• k(x,y) = exp(-||x-y||²/2σ²)
• Gaussian kernel with smooth, infinite-dimensional feature mapping
• Bandwidth σ controls sensitivity (0.5-10.0 user configurable)
• Optimal for normally distributed returns
• Default choice providing balanced sensitivity
Laplacian Kernel:
• k(x,y) = exp(-|x-y|/σ)
• Exponential decay with heavier tails than RBF
• More sensitive to outliers and sudden moves
• Ideal for volatile, news-driven markets
• Faster regime shift detection at cost of more false positives
Cauchy Kernel:
• k(x,y) = 1/(1 + ||x-y||²/σ²)
• Heavy-tailed distribution from statistical physics
• Robust to extreme values and fat-tail events
• Best for cryptocurrency and emerging markets
• Most stable signals with fewer whipsaws
Implementation Details:
• Reference window: 30-300 bars of baseline distribution
• Test window: 10-100 bars of recent distribution
• Double-sum kernel matrix computation with O(m*n) complexity
• EMA smoothing (period 3) reduces noise in raw MMD
• Real-time updates every bar with incremental calculation
2. REGIME DETECTION FRAMEWORK
Three-State Regime Classification:
STABLE Regime (MMD < threshold):
• Market follows historical distribution patterns
• Mean-reverting behavior dominates
• Low probability of breakouts
• Reduced position sizing recommended
• Visual: Subtle background coloring
SHIFTING Regime (threshold < MMD < 2×threshold):
• Distribution divergence detected
• Transition period with directional bias emerging
• Optimal entry zone for trend-following
• Increased volatility expected
• Visual: Yellow/orange zone highlighting
EXTREME Regime (MMD > 2×threshold):
• Severe distribution anomaly
• Black swan or structural break potential
• Maximum caution required
• Consider hedging or exit
• Visual: Red/magenta warning zones
Adaptive Threshold System:
• Base threshold: 0.05-1.0 (default 0.15)
• Volatility adjustment: ±30% based on ATR ratio
• Regime persistence: 20-bar minimum for stability
• Cooldown periods prevent signal clustering
3. DIRECTIONAL BIAS DETERMINATION
Multi-Factor Direction Analysis:
Distribution Mean Comparison:
• Recent mean = SMA(normalized_returns, test_window)
• Reference mean = SMA(normalized_returns, reference_window)
• Direction = sign(recent_mean - reference_mean)
Momentum Confluence:
• Price momentum = close - close
• Volume momentum = volume/SMA(volume, reference_window)
• Weighted composite direction score
Trend Alignment:
• Fast EMA vs Slow EMA positioning
• Slope analysis of regression line
• Multi-timeframe bias confirmation (optional)
4. SIGNAL GENERATION ARCHITECTURE
Entry Signal Logic:
Stage 1 - Regime Shift Detection:
• MMD crosses above threshold
• Sustained for minimum 2 bars
• No signals within cooldown period
Stage 2 - Direction Confirmation:
• Distribution mean aligns with momentum
• Volume ratio > 1.0 (optional)
• Price above/below VWAP (optional)
Stage 3 - Risk Assessment:
• Calculate ATR-based stop distance
• Verify risk/reward ratio > 1.5
• Check for nearby support/resistance
Stage 4 - Signal Generation:
• Long: Regime shift + bullish direction
• Short: Regime shift + bearish direction
• Extreme: MMD > 2×threshold warning
5. PROBABILITY CLOUD VISUALIZATION
Adaptive Confidence Intervals:
• Standard deviation multiplier = 1 + MMD × 3
• Inner band: ±0.5 ATR × multiplier (68% probability)
• Outer band: ±1.0 ATR × multiplier (95% probability)
• Width expands with divergence magnitude
• Real-time adjustment every bar
Interpretation:
• Narrow cloud: Low uncertainty, stable regime
• Wide cloud: High uncertainty, shifting regime
• Asymmetric cloud: Directional bias present
6. MOMENTUM FLOW VECTORS
Three-Style Momentum Visualization:
Flow Arrows:
• Length proportional to momentum strength
• Width indicates confidence (1-3 pixels)
• Angle shows rate of change
• Frequency: Every 5 bars or on events
Gradient Bars:
• Vertical lines from price
• Height = momentum/ATR ratio
• Opacity based on strength
• Continuous flow indication
Momentum Ribbon:
• Envelope around price action
• Expands in momentum direction
• Color intensity shows strength
7. SIGNAL CONNECTION SYSTEM
Relationship Mapping:
• Links consecutive signals with lines
• Solid lines: Same direction (continuation)
• Dotted lines: Opposite direction (reversal)
• Maximum 10 connections maintained
• Distance limit: 100 bars
Purpose:
• Identifies signal clusters
• Shows trend development
• Reveals regime persistence
• Confirms directional bias
8. REGIME ZONE MAPPING
Unified Zone Visualization:
• Main zones: Full regime periods (entry to exit)
• Emphasis zones: Specific trigger points
• Historical memory: Last 20 regime shifts
• Color gradient based on intensity
• Border style indicates zone type
Zone Analytics:
• Duration tracking
• Maximum excursion
• Retest probability
• Support/resistance conversion
9. DYNAMIC RISK MANAGEMENT
ATR-Based Position Sizing:
• Stop loss: 1.0 × ATR from entry
• Target 1: 2.0 × ATR (2R)
• Target 2: 4.0 × ATR (4R)
• Volatility-adjusted scaling
Visual Target System:
• Entry pointer lines
• Target boxes with prices
• Stop boxes with invalidation
• Real-time P&L tracking
10. PROFESSIONAL DASHBOARD
Real-Time Metrics Display:
Primary Metrics:
• Current MMD value and threshold
• Risk level (MMD/threshold ratio)
• Velocity (rate of change)
• Acceleration (second derivative)
Signal Information:
• Active signal type and entry
• Stop loss and targets
• Current P&L percentage
• Bars since signal
Market Metrics:
• Directional bias (BULL/BEAR)
• Confidence percentage
• Win rate statistics
• Signal count tracking
Visual Design:
• Four position options
• Three size modes
• Five color themes
• Gauge visualizations
• Status banners
11. MMD INFO PANEL
Floating Statistics:
• Compact 3×4 table
• MMD vs threshold comparison
• Velocity with direction arrows
• Current bias indication
• Always-visible reference
FIVE COLOR THEMES
Quantum: Cyan/Magenta/Yellow - Modern, high contrast, optimal visibility
Matrix: Green/Red - Classic terminal aesthetic, traditional
Fire: Orange/Gold/Red - Warm spectrum, energetic feel
Aurora: Northern lights palette - Unique, beautiful gradients
Nebula: Deep space colors - Purple/Blue, futuristic
HOW TO USE
Step 1: Select Your Kernel
• RBF for normal markets (stocks, forex majors)
• Laplacian for volatile markets (small-caps, news-driven)
• Cauchy for fat-tail markets (crypto, emerging markets)
Step 2: Configure Bandwidth
• 0.5-2.0: Scalping (high sensitivity)
• 2.0-5.0: Day trading (balanced)
• 5.0-10.0: Swing trading (smooth signals)
Step 3: Set Analysis Windows
• Reference: 3-5× your holding period
• Test: Reference ÷ 3 approximately
• Adjust based on timeframe
Step 4: Calibrate Threshold
• Start with 0.15 default
• Increase if too many signals
• Decrease for earlier detection
Step 5: Enable Visuals
• Probability Cloud for volatility assessment
• Momentum Flow for direction confirmation
• Regime Zones for historical context
• Signal Connections for trend visualization
Step 6: Monitor Dashboard
• Check MMD vs threshold
• Verify regime state
• Confirm directional bias
• Review confidence metrics
Step 7: Execute Signals
• Wait for triangle markers
• Verify regime shift confirmed
• Check risk/reward setup
• Enter at close or next open
Step 8: Manage Position
• Place stop at calculated level
• Scale out at Target 1 (2R)
• Trail remainder to Target 2 (4R)
• Exit if regime reverses
OPTIMIZATION GUIDE
By Market Type:
Forex Majors:
• Kernel: RBF
• Bandwidth: 2.0-3.0
• Windows: 100/30
• Threshold: 0.15
Stock Indices:
• Kernel: RBF
• Bandwidth: 3.0-4.0
• Windows: 150/50
• Threshold: 0.20
Cryptocurrencies:
• Kernel: Cauchy
• Bandwidth: 2.5-3.5
• Windows: 100/30
• Threshold: 0.10-0.15
Commodities:
• Kernel: Laplacian
• Bandwidth: 2.0-3.0
• Windows: 200/60
• Threshold: 0.15-0.25
By Timeframe:
Scalping (1-5m):
• Test Window: 10-20
• Reference: 50-100
• Bandwidth: 1.0-2.0
• Cooldown: 5-10 bars
Day Trading (15m-1H):
• Test Window: 30-50
• Reference: 100-150
• Bandwidth: 2.0-3.0
• Cooldown: 10-20 bars
Swing Trading (4H-Daily):
• Test Window: 50-100
• Reference: 200-300
• Bandwidth: 3.0-5.0
• Cooldown: 20-50 bars
ADVANCED FEATURES
Multi-Timeframe Capability:
• HTF MMD calculation via security()
• Regime alignment across timeframes
• Fractal analysis support
Statistical Arbitrage Mode:
• Pair trading applications
• Spread divergence detection
• Cointegration breaks
Machine Learning Integration:
• Export signals for ML training
• Regime labels for classification
• Feature extraction support
PERFORMANCE METRICS
Computational Complexity:
• MMD calculation: O(m×n) where m,n are window sizes
• Memory usage: O(m+n) for kernel matrices
• Update frequency: Every bar (real-time)
• Optimization: Incremental updates where possible
Typical Signal Frequency:
• Conservative settings: 2-5 signals/week
• Balanced settings: 5-10 signals/week
• Aggressive settings: 10-20 signals/week
Win Rate Expectations:
• Trend following mode: 40-50% wins, 2:1 reward/risk
• Mean reversion mode: 60-70% wins, 1:1 reward/risk
• Depends heavily on market conditions
IMPORTANT DISCLAIMERS
• This indicator detects statistical divergence, not future price direction
• MMD measures distribution distance, not predictive probability
• Past regime shifts do not guarantee future performance
• Kernel methods are descriptive statistics, not AI predictions
• Requires minimum 100 bars historical data for stability
• Performance varies significantly across market conditions
• Not suitable for illiquid or heavily manipulated markets
• Always use proper risk management and position sizing
• Backtest thoroughly on your specific instruments
• This is an analysis tool, not a complete trading system
THEORETICAL FOUNDATION
The Maximum Mean Discrepancy was introduced by Gretton et al. (2012) as a kernel-based statistical test for comparing distributions. In financial markets, we adapt this technique to detect when return distributions shift, indicating potential regime changes. The mathematical rigor of MMD provides a robust, non-parametric approach to identifying market transitions without assuming specific distribution shapes.
SUPPORT & UPDATES
• Questions or configuration help via TradingView messaging
• Bug reports addressed within 48 hours
• Feature requests considered for monthly updates
• Video tutorials available on request
• Join our community for strategy discussions
FINAL NOTES
KMD Pro represents a paradigm shift in technical analysis - moving from price-based indicators to distribution-based detection. By measuring statistical divergence rather than price divergence, the system identifies regime changes that precede traditional breakouts. This anticipatory capability, combined with comprehensive visualization and risk management, provides traders with an institutional-grade toolkit for navigating modern market dynamics.
Remember: The edge comes not from the indicator alone, but from understanding when market distributions diverge from their normal state and positioning accordingly. Use KMD Pro as part of a complete trading strategy that includes fundamental analysis, risk management, and market context.
トレンド分析
Profitolio Swing Strategy V1.2Profitolio Swing Strategy V1.2 - User Guide
Overview
The Profitolio Swing Strategy (PSS V1.2) is a comprehensive swing trading indicator designed to identify high-probability trade setups by combining multiple technical analysis methods. This indicator helps traders capture medium-term price movements while managing risk effectively.
What This Indicator Does
This indicator analyzes market momentum and volatility to generate clear BUY and SELL signals. It uses a confluence approach, meaning signals only appear when multiple conditions align, reducing false signals and improving trade quality.
Key Features
Visual Components
1. Signal Markers
Green Triangle (BUY): Appears below candles when bullish conditions align
Red Triangle (SELL): Appears above candles when bearish conditions align
2. Reference Lines
Blue Line: 21-period Exponential Moving Average (EMA) - shows medium-term trend direction
Orange Circles: Volume Weighted Average Price (VWAP) - represents fair value based on price and volume
3. Stoploss Management
Red Horizontal Line: Active stoploss for long positions (appears after BUY signal)
Green Horizontal Line: Active stoploss for short positions (appears after SELL signal)
"SL HIT!" Label: Appears when price touches the stoploss level
4. Background Color
Light Green: Indicates overall bullish market condition
Light Red: Indicates overall bearish market condition
No Color: Neutral/mixed conditions
5. Dashboard (Top Right)
Shows the status of multiple trend variants and the final decision:
Individual variant status (Variant 1, 2, 3)
Overall decision (BULLISH/BEARISH/NEUTRAL)
Active stoploss value
Parameters Used
ATR-Based Calculations
The indicator uses different Average True Range (ATR) and multipliers which measures market volatility
Lower multipliers: More sensitive, faster signals
Higher multipliers: Less sensitive, more stable signals
Moving Averages
21 EMA: Helps identify the prevailing trend direction. Price above EMA suggests uptrend, below suggests downtrend
VWAP: Acts as dynamic support/resistance. Institutional traders often use this as a reference point
How to Use This Indicator
Step 1: Wait for Signal Confirmation
Do not trade when background is absent (neutral condition)
Look for BUY signal when background turns light green
Look for SELL signal when background turns light red
Step 2: Entry Rules
For Long Positions (BUY):
Wait for green triangle below candle
Confirm price is above the 21 EMA (blue line) for stronger probability
Enter at current market price or next candle open
For Short Positions (SELL):
Wait for red triangle above candle
Confirm price is below the 21 EMA (blue line) for stronger probability
Enter at current market price or next candle open
Step 3: Risk Management
Stoploss Placement:
For BUY trades: The indicator automatically marks a stoploss level (red line) based on recent price action
For SELL trades: The indicator automatically marks a stoploss level (green line) based on recent price action
These levels persist until hit or trend reverses
Exit Strategies:
Stoploss Exit: Exit when price hits the marked stoploss line (you'll see "SL HIT!" label)
Signal Reversal: Exit when opposite signal appears
Background Change: Consider exiting when background color disappears (trend weakening)
Step 4: Additional Confirmation
Use EMA & VWAP for Confluence:
Stronger BUY: When price is above both EMA and VWAP
Stronger SELL: When price is below both EMA and VWAP
Caution: When price is between EMA and VWAP (mixed signals)
Best Practices
✅ DO:
Use on higher timeframes (4H, Daily) for swing trading
Wait for clear signal confirmation
Respect the stoploss levels
Check dashboard for overall market condition
Use on trending markets for best results
❌ DON'T:
Trade during neutral/gray periods
Ignore stoploss levels
Trade against the background color
Use on very short timeframes (1min, 5min) - designed for swing trading
Enter trades when all three variants show mixed signals
Alert Setup
The indicator includes built-in alerts:
"All Bullish": Triggered on BUY signal
"All Bearish": Triggered on SELL signal
"Buy SL Hit": When long stoploss is touched
"Sell SL Hit": When short stoploss is touched
Timeframe Recommendations
Best: Daily, 4-Hour charts
Good: 1-Hour charts
Not Recommended: Below 1-Hour (too many false signals)
Understanding the Dashboard
The dashboard shows a breakdown of the decision-making process:
Variant 1, 2, 3: Individual component analysis
Decision: Final verdict (requires all variants to agree)
Active SL: Current stoploss level for open position
Risk Disclaimer
This indicator is a tool to assist in trading decisions. Always:
Use proper position sizing
Never risk more than 1-2% per trade
Combine with your own analysis
Practice on paper/demo accounts first
Past performance doesn't guarantee future results
Note: This indicator works best in trending markets and may generate fewer signals in ranging/choppy conditions. Patience is key to successful swing trading.
Market Profile based Support/ResistanceBrought to you by Stock Kaka - Your trading sidekick 🦜📈 - pay your visit at stockkaka.my.canva.site or find us on X #StockKaka
📊 What This Indicator Does
Ever wish the market would just tell you where the important levels are? Well, buckle up, because this indicator is like having a market whisperer on your chart!
Based on cutting-edge hierarchical market structure analysis (fancy words for "smart support and resistance"), this bad boy uses ATR-based Directional Change to identify turning points that actually matter. No more guessing where price might bounce or break—let the algorithm do the heavy lifting while you sip your coffee ☕
🎯 The Five Levels Explained (From Noisy to Mighty)
Think of these levels like a pyramid of importance. Level 0 is your chatty friend who notices everything, while Level 4 is the wise oracle who only speaks when it really matters.
Level 0: The Hyperactive Scout 🐿️
What it does: Catches every little zigzag in price using ATR confirmation
Significance: Very short-term, intraday noise
Best for: Scalpers who love action every few minutes
Trader Type: "I refresh my chart 100 times an hour"
Reliability: ⭐⭐ (It's enthusiastic but easily excitable)
Level 1: The Day Trader's Buddy 🎯
What it does: Filters Level 0 to show minor swing highs/lows
Significance: Intraday support/resistance, hourly structure
Best for: Day traders, scalpers looking for better entries
Trader Type: "I close all positions before dinner"
Reliability: ⭐⭐⭐ (Solid for quick moves)
Level 2: The Swing Trader's Sweet Spot 🎪
What it does: Identifies multi-day to weekly structure points
Significance: Intermediate support/resistance where battles happen
Best for: Swing traders, position traders
Trader Type: "I hold for days, not minutes"
Reliability: ⭐⭐⭐⭐ (Now we're talking real structure!)
Level 3: The Big Money Magnet 💰
What it does: Shows major market structure—where the whales play
Significance: Weekly to monthly levels, institutional zones
Best for: Position traders, trend followers
Trader Type: "I think in weeks and months, not hours"
Reliability: ⭐⭐⭐⭐⭐ (These levels have gravitational pull!)
Level 4: The Market Prophet 🔮
What it does: Reveals ultra-major turning points (think: quarterly/yearly pivots)
Significance: Long-term macro structure, investment-grade levels
Best for: Investors, long-term position traders
Trader Type: "Warren Buffett is my spirit animal"
Reliability: ⭐⭐⭐⭐⭐⭐ (When these break, market's rewrite the story)
⚙️ Parameter Setup Guide (The Secret Sauce)
The magic ingredient is the ATR Lookback Period—think of it as teaching the indicator your timeframe's "dialect." Here's your cheat sheet:
2-Minute Chart ⚡
ATR Lookback: 720 (24 hours of 2-min bars)
Who uses this: Crypto degens, futures scalpers, adrenaline junkies
Show Levels: L0, L1, L2 (L3+ won't budge much)
Pro Tip: Enable only L1 and L2 or your chart will look like spaghetti
5-Minute Chart 🏃
ATR Lookback: 288 (24 hours of 5-min bars)
Who uses this: Active day traders, news traders
Show Levels: L1, L2, L3
Pro Tip: L2 is your best friend here—perfect for intraday swings
15-Minute Chart 📈
ATR Lookback: 96 (24 hours of 15-min bars)
Who uses this: Swing traders, patient day traders
Show Levels: L1, L2, L3
Pro Tip: This is the "Goldilocks zone"—not too fast, not too slow
1-Hour Chart ⏰
ATR Lookback: 168 (1 week of hourly bars)
Who uses this: Swing traders, position traders
Show Levels: L2, L3, L4
Pro Tip: L3 levels here are like magnets for price action
Daily Chart 📅
ATR Lookback: 30 to 50 (1-2 months)
Who uses this: Investors, long-term traders, people with patience
Show Levels: L2, L3, L4
Pro Tip: L4 on dailies = "Don't fight this level, respect it"
🎨 How to Use This Thing
Add to Chart - Duh! 😄
Set Your ATR Lookback - Use the guide above (don't wing it!)
Enable Relevant Levels - Less is more! Turn off levels that just clutter
Watch the Magic - See horizontal lines appear at key S/R zones
Check the Table - Top-right corner shows current levels (fancy!)
Set Alerts - Get notified when price approaches or breaks levels
Trading Strategies 🎲
The Bounce Play:
Price approaches Level 2 or 3 support → Look for bullish reversal signals
Take profit at the next level resistance
Stop loss just below the support level
The Breakout Play:
Price breaks through Level 2/3 resistance with volume → Go long
Next level becomes your target
Failed breakout? Level becomes resistance again (classic fake-out)
The Confluence Play:
When Level 3 aligns with your favorite indicator (RSI oversold, moving average, Fibonacci) → Chef's kiss! 👨🍳💋
These multi-confirmation setups are where the money lives
🚨 Important Notes (Read This or Blame Yourself Later)
⚠️ This indicator REPAINTS on the current bar until an extreme is confirmed. That's not a bug, it's how directional change works. The past levels are solid as a rock, but the pending one is still... pending.
⚠️ More levels ≠ Better results. Showing all 5 levels is like having 5 GPS apps shouting directions at once. Pick 2-3 levels max.
⚠️ ATR Lookback matters! Wrong setting = garbage results. Use the guide above or experiment carefully.
⚠️ Volatile markets (crypto, meme stocks) work GREAT with this. Choppy, range-bound markets? Meh.
⚠️ Combine with other tools! This shows you WHERE, not WHEN. Use momentum indicators, volume, or your favorite chicken entrails for timing 🐔
🦜 Final Word from Stock Kaka
Remember: Indicators don't make money, traders do. This tool shows you where the market has historically respected structure. What you do with that info? That's on you, champ!
Use proper risk management, don't YOLO your rent money, and may your stops never get hunted 🎯
Trade smart, trade safe, and let Stock Kaka be your guide!
📝 Credits
Algorithm: neurotrader888 (Python implementation)
Pine Script Conversion: Your friendly neighborhood Stock Kaka team!!
Inspiration: Ginger chai, market inefficiencies, and a dash of chaos
📌 Tags
support-and-resistance market-structure atr directional-change multi-timeframe swing-trading day-trading levels hierarchical-analysis algo-trading
Multi-Moving Average (4x)Configurable moving average indicator where user can select up to 4 MA and configure SMA or EMA , color and width.
Advanced Liquidity Pools (Revention)Overview
This indicator provides a sophisticated visualization of potential Buy-Side Liquidity (BSL) and Sell-Side Liquidity (SSL) zones based on recent market structure swing points (pivots). It goes beyond simply plotting levels by incorporating a dynamic probability estimation to highlight the liquidity pool calculated as most likely to be targeted next. The goal is to offer traders a clearer view of potential stop-hunt zones and areas where market manipulation might occur.
Key Features
Dynamic Liquidity Boxes: Identifies BSL (above price) and SSL (below price) using pivot highs/lows and visualizes them as filled boxes extending into the future.
Hunt Odds Visualization: The color intensity and transparency of each box dynamically adjust based on a calculated "hunt odds" score. This score estimates the likelihood of the zone being targeted based on its age, current market volatility (ranging vs. trending), and the direction of the most recent liquidity sweep. Boxes with higher calculated odds appear more prominent.
Most Probable Target Highlight: The single BSL or SSL box with the highest calculated odds, adjusted for the last sweep direction, is highlighted with a distinct background color (default yellow), drawing attention to the area deemed most likely for the next liquidity grab.
Contextual Information: Optionally displays text directly on the highlighted box showing:
The calculated "Hunt Odds" percentage.
A Higher Timeframe (HTF) Alignment Score (0-4), indicating how many selected higher timeframes show a trend (based on EMA crossover) that aligns with the direction needed to reach the highlighted target.
How It Works
Pivot Detection: Identifies swing highs and lows based on the user-defined Pivot Lookback.
Zone Creation: Creates a box around each pivot, extending forward in time. The height is based on a multiple of the Average True Range (ATR).
Odds Calculation: For each active (non-mitigated) box, it calculates a "Hunt Odds" score using weighted factors:
Age: Older zones have lower odds.
Market Condition: Zones have higher odds during detected ranging periods.
Last Sweep: The zone opposite the most recently swept liquidity side receives higher odds.
Highlighting: Determines the highest-odds BSL and SSL, then selects the "most probable" target based primarily on the last_sweep_dir (prioritizing the opposite side) or secondarily on the highest overall odds.
HTF Alignment: Checks the trend direction (via EMA cross) on up to four user-selected higher timeframes and counts how many align with the direction towards the highlighted target.
Visualization: Updates the background color, border width, and text display for each box based on its odds and whether it's the highlighted target. Mitigated boxes are removed.
Disclaimer
The "Hunt Odds" percentage displayed is a speculative estimate derived solely from the indicator's internal logic and simplified market factors (age, range detection, last sweep). It is NOT a statistically validated probability of future price movement. Market dynamics are complex, and liquidity hunts are influenced by numerous factors not captured by this indicator. This tool should be used as a visual aid to supplement your own market analysis, confluence finding, and risk management strategies. Do not base trading decisions solely on the highlighted zone or the calculated odds.
Potential Use Cases
Identifying potential areas where stop-loss orders may be clustered.
Visualizing how market conditions (ranging) might increase the likelihood of stop hunts.
Gauging higher timeframe trend alignment towards key liquidity zones.
Serving as a component within a broader trading strategy focused on liquidity concepts and market manipulation patterns (e.g., waiting for rejection or acceptance at highlighted zones).
CandleFlow — Adaptive-Colored Bollinger BandsEN — What it is
Classic Bollinger Bands with adaptive color. Bands turn green when the basis slope is rising and red when it is falling. Same BB math; only visuals adapt. Two-state only.
Features
• Works on any timeframe; built with daily crypto in mind
• Inputs: Length 20, Multiplier 2.0, MA Type (SMA/EMA/WMA), Slope Length, Up/Down thresholds, Band fill
• Alerts: Trend state turns Up / turns Down
Notes
• Invite-only access. Source code not provided.
• No profit guarantee; this is not financial advice.
KR — 요약
표준 볼린저 계산은 그대로, 기준선이 상승하면 초록/하락하면 빨강으로 자동 색상 전환. 일봉 크립토에 최적화. 입력값(기간 20, 배수 2.0, MA 타입, 기울기 길이, 상/하 임계값, 밴드 채우기), 알림(상승/하락 전환) 제공. 초대전용, 코드 비공개. 수익 보장 없음.
Trademark
Bollinger Bands® is a registered trademark of John Bollinger. Not affiliated or endorsed.
PSP Table [Pogiest]General
Precision Swing Point (PSP) is a concept derived from Quarterly Theory concepts originating from ICT methodologies. The concept typically uses a 3-candle swing formation in which candle 2 has a divergence in the closing price with one asset compared to the other two assets in a correlated asset triad (i.e. one closes bullish and two closes bearish, vice-versa). The indicator is designed to track PSPs in real time as they are forming.
Note: Credit of concepts/ideas goes to TraderDaye.
In the image above, the higher timeframe candle overlay is displayed on the chart to be shown as an example with the indicator (table). Higher timeframe candles are not included as part of the indicator. This indicator is only comprised of the table shown.
Timeframe Column:
1. Displays up to four different timeframes to monitor.
Asset Columns:
1. Cells display “Bull” or “Bear” showing the current state of each candle and updates in real-time tick by tick.
C2 PSP Column:
1. “Inactive” indicates no divergence in all assets (i.e. all three assets in a triad are all printing bullish or bearish candles)
2. “Pending” indicates a potential divergence in candle 2’s closing price (i.e. one asset’s current state in candle 2 is bearish while the others are bullish, vice versa). This updates in real-time tick by tick and continues to monitor each candle as they form for a candle 2 divergence.
3. “Active” indicates a confirmed candle 2 divergence.
Note: Any historical PSPs will not be displayed in the table as this indicator only tracks PSPs in real time and continuously monitors for potential PSPs and confirmed PSPs.
Settings
1. Choose up to three different assets to monitor.
Note: If only two are selected, the indicator will only display the two selected and compare the two assets for divergences. If one is selected, a warning sign will be displayed to select at least two assets.
2. Choose up to four different timeframes. Option to deselect timeframes.
3. Toggle option to show/hide the table.
4. Adjust the table positioning to be displayed on the chart.
6. Option to change text size in the table cells. This will also increase/decrease the size of the table.
7. Table Color Customization gives you options to change the background colors of the cells including text color.
What makes this indicator unique:
1. Track current PSP status in real-time tick by tick as candles form in multiple timeframes.
2. Instead of switching through timeframes to check for PSPs, they are consolidated in one table.
Risk Disclaimer
This indicator is for educational and informational purposes only and does not constitute financial advice. All trading and investment decisions remain solely the responsibility of the user.
Trading involves a high degree of risk, and past performance is not indicative of future results.
Always conduct your own research and consult with a qualified financial professional before making any trading decisions.
By using this indicator, users acknowledge they understand these risks and accept full responsibility for their trading decisions and outcomes.
MoneyMaker - InvestMoneyMaker - Invest — FAST & SLOW Trend Oscillator
Overview
The INVEST indicator combines a dual-speed adaptive trend model that helps identify market strength, exhaustion, and turning zones.
FAST Line (Yellow): Reacts quickly to price, showing short-term momentum shifts.
SLOW Line (Green): Defines broader market structure and trend zones.
Background colors highlight the dominant market phase:
🔴 Red Zone: Strong uptrend phase.
🟩 Green Zone: Strong downtrend phase.
How It Works
When the SLOW line is above the 80-level, the market is in a strong uptrend.
When the SLOW line is below the 20-level, the market is in a strong downtrend.
FAST line movements within these zones help gauge potential short-term reversals or exhaustion points.
Usage
Designed for traders who want to visualize momentum phases and trend strength with clarity.
Note: This tool is not a buy/sell signal generator — it supports trend analysis, timing, and risk evaluation.
Access
This is an invite-only script. To request access, please contact the author through the TradingView message system.
Disclaimer
This script is for educational and analytical purposes only. It does not constitute financial advice or guarantee results.
The author is not a SEBI-registered advisor. Users are responsible for their own trading decisions and risk management.
Category: Trend Analysis
Tags: trend, oscillator, adaptive, fastslow, trading, analysis
Ultimate SMC Dashboard — Pro v2.1 (ICT/SMC)
🔍 1. General Objective of the Script
This script is a complete visual and algorithmic SMC (Smart Money Concepts) analysis system that:
* Automatically identifies market structures (BOS / CHoCH / Liquidity Grab).
* Detects and dynamically maintains Fair Value Gaps (FVG) according to ICT methodology .
* Draws and tracks the evolution of Order Blocks (OB) and Breaker Blocks (BRK) .
* Calculates MACD / Volume divergences .
* Analyzes trend, volume, and buyer/seller dominance .
* Displays a clear and dynamic dashboard directly on the chart.
* Builds the foundation for reversal / continuation probability models .
---
⚙️ 2. Input Parameters
The script is highly configurable. Inputs are organized by sections:
Structure (ICT)
* Pivot left/right (swing length) → determines the swing size for HH/LL detection.
* OB lookback → number of candles to look back for an Order Block after a BOS.
* Show BOS / CHoCH / Liquidity Grab → enables or disables structural elements.
Imbalances (FVG)
* Enables the display of Fair Value Gaps .
* Manages minimum size, transparency, and **dynamic reduction** when partially filled.
* Limits the maximum number of FVGs displayed simultaneously.
Order Blocks / Breakers
* Enables Order Blocks and Breaker Blocks .
* Defines their colors, opacity , and dynamic behavior .
* Automatically removes outdated OBs exceeding the maximum limit.
Signal & Probabilities
* Sets the lookback period for structure calculation.
* Calculates average volume (MA) to detect dominance and momentum.
* Defines the probability threshold for signals (not yet visible in this snippet).
RSI / EMA / Divergences / Sentiment
* Prepares additional indicator modules, such as:
* MACD divergence detection
* RSI / EMA visualization
* Market sentiment and funding metrics
---
🧠 3. Market Structure Logic (ICT Core)
a. Pivot Detection
Uses ta.pivothigh and ta.pivotlow to detect Higher Highs (HH) and Lower Lows (LL) .
b. Break of Structure (BOS)
A BOS occurs when price breaks a validated swing high or low:
* bullBOS → bullish break.
* bearBOS → bearish break.
c. Change of Character (CHoCH)
A CHoCH is detected when BOS direction changes (e.g., a bullish BOS followed by a bearish BOS).
d. Liquidity Grab
Detection of liquidity sweeps :
* grabUp : wick above the last high, closing below.
* grabDown : wick below the last low, closing above.
All these signals feed into the main trend bias (Bull / Bear / Flat).
---
🧱 4. Fair Value Gaps (FVG)
The FVG logic strictly follows ICT principles :
* Bullish FVG: if `low > high `
* Bearish FVG: if `high < low `
Each FVG becomes a dynamic box :
* Shrinks in real time as price partially fills it.
* Automatically deletes itself once fully closed.
* Color and opacity depend on direction (green = bullish, red = bearish).
This is one of the most complex parts of the code, managing:
* Arrays of box objects (`array`)
* Real-time updates for every candle
* Automatic cleanup to prevent chart overload
---
🧱 5. Order Blocks (OB) and Breaker Blocks
An Order Block is generated:
* After a BOS,
* By identifying the last candle opposite to the trend before the break.
Examples:
* Bullish BOS → Bullish OB = last red candle before the breakout.
* Bearish BOS → Bearish OB = last green candle before the breakdown.
Each OB:
* Is visualized as a colored rectangle (cyan or orange).
* Becomes inactive once mitigated (touched).
* Is removed and converted into a Breaker Block if invalidated (opposite side broken).
The system uses arrays similar to FVGs to maintain visual cleanliness and chart efficiency .
---
📊 6. Volume and Dominance
The script computes:
* A moving average (SMA) of volume.
* Whether the current volume is abnormally high or low .
* Whether candles are buyer- or seller-dominant .
Simplified display:
* 🔥 High Volume
* 📉 Low Volume
* 🟩 Buyers Dominant
* 🟥 Sellers Dominant
* ⚪️ Neutral
---
🧩 7. Textual Dashboard
Text variables such as:
* `struct_txt` → displays BOS, CHoCH, Grab info
* `fvg_txt` → “🟢 Open” or “🔴 Close”
* `ob_txt` → “🟩 Open” or “🟥 Close”
These feed a visual dashboard (not yet displayed in this excerpt), summarizing the entire market state in real time.
---
💡 8. Summary
The script:
* Observes market structure (ICT) .
* Automatically draws institutional imbalance and interest zones (OB, FVG).
* Dynamically manages their evolution.
* Provides visual structural, volume, and sentiment signals .
* Builds a complete foundation for a professional ICT/SMC dashboard .
Momentum Master v1Momentum Master v1 - Advanced Multi-Filter Confluence Trading System
### Technical Methodology
Multi-timeframe EMA crossover system with institutional flow analysis, proprietary Fair Value Gap (FVG) retracement detection, and Point of Control (POC) proximity filtering.
The script combines six distinct confirmation filters: 3/21 EMA crossover signals, RSI momentum analysis (14-period), proprietary FVG retracement algorithm with 200-bar lookback, multi-timeframe POC proximity calculation (Volume/Session/Daily/Weekly), institutional order block detection with retest confirmation, and adaptive ATR-based risk management.
### Unique Features
1. Proprietary FVG Retracement Algorithm - Institutional Flow Analysis
2. Multi-Timeframe POC Proximity Filtering - Key Level Analysis
3. Adaptive Confidence Scoring System - Dynamic Risk Management
### How It Works
Long entries require: Fast EMA (3) crosses above Slow EMA (21) + RSI < 70 + volume > 1.1x average + FVG retracement confirmation + POC proximity within 2.0x ATR + order block direction alignment.
Uses ATR-based stop loss placement with 1.0x multiplier. Take profit levels at 2:1, 4:1, 6:1, 8:1, 10:1, and 12:1 risk/reward ratios.
### Value Proposition
This script combines 6 different institutional flow analysis techniques that would require multiple free scripts to replicate. The proprietary FVG retracement algorithm, multi-timeframe POC analysis, and adaptive confidence scoring system are not available in any single free script.
### Use Cases
Best timeframes: 5-minute for scalping, 15-minute for swing trades
Suitable markets: Forex major pairs, Crypto, major indices
Market conditions: Trending markets with high volume sessions
### Access Instructions
To request access to this invite-only script:
Contact: with your TradingView username
Requirements: Include your TradingView username and brief trading experience
Process: I will review requests within 24 hours and grant access to qualified traders
2 days ago
Release Notes
Momentum Master v1 - Multi-Filter EMA Crossover with Institutional Flow Analysis
### Technical Methodology
The script uses a 3/21 EMA crossover system combined with six confirmation filters: RSI momentum analysis (14-period), proprietary Fair Value Gap (FVG) retracement detection with 200-bar lookback, multi-timeframe Point of Control (POC) proximity calculation, institutional order block detection with retest confirmation, volume analysis (1.1x average threshold), and adaptive ATR-based risk management (14-period ATR with 1.0x multiplier).
### Unique Features
1. Proprietary FVG Retracement Algorithm - Tracks whether price retraces into recent Fair Value Gaps before generating signals, using 200-bar lookback with 20% ATR tolerance for retest confirmation
2. Multi-Timeframe POC Analysis - Combines Volume Profile POC (30-bar), Session POC (previous session HLC/3), Daily POC (previous day HLC/3), and Weekly POC (previous week HLC/3) with 2.0x ATR proximity filtering
3. Adaptive Confidence Scoring - Proprietary algorithm scores signal confidence 0-100% based on filter confluence, adjusting stop loss distance (0.9x to 1.2x ATR) based on signal quality
### How It Works
Long entries require: Fast EMA (3) crosses above Slow EMA (21) + RSI < 70 + volume > 1.1x average + FVG retracement confirmation within 15 bars + POC proximity within 2.0x ATR + order block direction alignment. Optional filters include ADX > 20 for trending markets and divergence confirmation.
Exit strategy uses ATR-based stop loss (1.0x multiplier) with take profit levels at 2:1, 4:1, 6:1, 8:1, 10:1, and 12:1 risk/reward ratios. Multiple concurrent trades allowed with 5-bar cooldown between entries.
### Value Proposition
This script combines 6 different institutional flow analysis techniques that would require multiple free scripts to replicate. The proprietary FVG retracement algorithm, multi-timeframe POC analysis, and adaptive confidence scoring system are not available in any single free script. Most free scripts only provide basic EMA crossover signals without institutional context.
### Use Cases
Best timeframes: 5-minute for scalping, 15-minute for swing trades, 1-hour for position entries
Suitable markets: Forex major pairs (EUR/USD, GBP/USD), Crypto (BTC/USD, ETH/USD), major indices (S&P 500, NASDAQ)
Market conditions: Trending markets with ADX > 20, high volume sessions (London/NY overlap)
### Access Instructions
To request access to this invite-only script:
Contact: with your TradingView username
Requirements: Include your TradingView username and brief trading experience
Process: I will review requests within 24 hours and grant access to qualified traders
V2 SK Alpha SuiteYellow Diamond = Partial Entry
Green Diamond = Full Entry
Orange Diamond = Partial Take Profit
Red Diamond = Major Take Profit
Long Stop Loss Line hit (Purple Line) = Close Position
Demand Supply Zones with MTFDemand Supply Zones with Multi-Timeframe Analysis
Overview:
Advanced institutional demand/supply zone detector with multi-timeframe analysis, proximity alerts, and trend dashboards. Identifies high-probability reversal areas using intelligent base detection and breakout validation across 4 simultaneous timeframes.
Core Unique Features:
• 💎 Elite Base Factor: Auto-detects institutional base patterns using pre-breakout candle body ratio analysis (adjustable 0.1-2.0).
• 🌐 4-Timeframe Zone Detection: Simultaneous MTF zones with individual "👁️ Tested" toggles for granular control - unprecedented in demand/supply indicators.
• 🚨 Proximity Dashboard: Real-time distance tracking to nearest zones (current + all MTF). Visual "APPROACHING!" alerts when price within threshold %.
• 📊 Zone Analytics Dashboard: Live counters for active/tested zones per timeframe with date range display and MTF status tracking.
• 📈 Multi-Timeframe Trend Analysis: 4-TF trend direction
• 🎯 Advanced EMA System: 10 multi-timeframe EMA-20 lines + Golden/Death Cross alerts with customizable styling.
• 📅 Date Range Filter: Performance optimization with calendar-based zone limits (10-500 zones).
• 🧩 Gap Filling: Optional gap bridging between base and leg-out candles for continuous zones.
• 🔐 No Repainting: MTF zones created only on confirmed bars with lookahead bias disabled.
How It Works:
1. Base Detection: Identifies consolidation candles (1-4 consecutive) with customizable body % threshold. Elite mode auto-detects when pre-breakout candle is significantly smaller.
2. Leg-Out Validation: Confirms breakout strength of legout
3. Zone Extension: Projects zones forward (10-500 bars).Fresh zones (green/red) turn gray when tested.
4. MTF Integration: Detects zones from 4 higher timeframes with independent parameters. Each MTF has individual tested zone toggle.
5. Analytics: Proximity dashboard calculates real-time distance to nearest zones. Trend dashboard shows direction across 4 TFs.
Important Notes:
• Educational Purpose: This indicator is for analysis and learning only. Does not guarantee future results.
• Risk Management Required: Always use stop losses and proper position sizing.
• Chart Type: Use standard Candlestick charts. Non-standard charts (Heikin Ashi/Renko) not recommended for accurate zone detection.
• Timeframe Requirements: MTF zones appear only when viewing lower timeframe than selected MTF (e.g., view 1H chart to see Daily MTF zones).
• Performance: Enable Date Range Filter when using multiple MTF timeframes to reduce computational load.
• Past Performance Disclaimer: Historical accuracy does not guarantee future trading results.
⭐ If you find this indicator valuable, please like and share!
Minute/Hour Sum 3-6-9**Important:** Use Eastern Standard Time (EST) and apply this on the 1-minute timeframe. Check that the minute digits are summing correctly—for example, at 7:45 AM, the indicator should show “9” because 4+5=9. If sums aren’t correct, adjust the timezone offset until they align perfectly.
This Pine Script creates the "Minute/Hour Sum 3-6-9" timing indicator, highlighting candles where the digits of the current minute or hour (depending on the timeframe) add up to 3, 6, or 9—numbers popular in cyclical and vibrational timing concepts like the 3-6-9 pattern.
On intraday charts below 1 hour it sums the digits of the minute, such as 21 which becomes 2+1=3. On hourly or higher charts, it sums the digits of the hour, like 12 which becomes 1+2=3. The indicator plots a label “3,” “6,” or “9” above or below the candle depending on whether it is bearish or bullish. Sum numbers change with direction to visually signal sentiment. You can adjust the timezone offset to align with your local RTH or ICT timing.
In this rhythmic model, the “9” candle is often seen as the entry or decision candle. A “9” sum bar marks the completion of a short intraday cycle. Traders consider the “9” as a potential turning or breakout point a candle where price may reverse, accelerate, or confirm direction after the 3–6 build-up. Typically, traders wait for the “9” label to form, confirm direction, then enter on that candle or the following one.
W1 Keyzones Overlay (D1) by Delta 1 / Norman AXLRODW1 Keyzones Overlay (D1) — Description and User Guide
What it does:
This indicator projects weekly key zones (W1) onto your D1 chart. It detects confirmed weekly pivot highs and lows and derives resistance and support zones. Zones are intentionally invisible (no fill, no border). Instead, centered labels are shown at the current bar: “W1 Res” for weekly resistance and “W1 Sup” for weekly support. Two alerts are included: “Approach” (price approaches a zone within a set distance) and “Hit” (price is inside a zone).
Features:
Automatic W1 pivot high/low detection. Configurable zone width (percentage of pivot price). Centered labels placed at the zone midpoint and aligned to the current bar on the right. Invisible zones to keep the chart clean. Alerts for approach and hit. FX pip handling including the JPY 0.01 pip convention.
Inputs:
W1 Pivot Period (default 5): sensitivity of weekly pivot detection; higher values produce fewer, stronger zones.
Max Zones: maximum number of stored and visible zones.
Zone Width (% of price): for example 0.0025 equals 0.25% of price.
Show Labels: toggle to show or hide W1 Res/W1 Sup labels.
Colors: base colors for resistance and support labels (zones remain invisible).
Approach Distance (pips): distance to the top of a zone that triggers the Approach alert; pip size is handled automatically, JPY pairs use 0.01.
How to read it:
Focus on the labels. W1 Res marks an active weekly resistance zone. W1 Sup marks an active weekly support zone. Labels sit at the midpoint of each zone and at the current bar, so key levels are always visible on the right side of the chart. Zones are invisible by design; the internal zone width still governs the alert logic and whether price is considered “inside” the zone. Use the alerts as prompts: “Approach” is an early heads-up, “Hit” signals active interaction with the zone where you can look for confirmation via price action.
Typical use:
Set your directional bias on D1 by noting which weekly levels are nearby. Check confluence with your own levels, moving averages, structure, volume and the calendar. Consider playbook ideas such as rebounds at W1 Sup after confirmation, fades at W1 Res with protective stops, or break-and-retest setups after a clean break.
Best practices:
Use D1 for context and time entries on H1 or M15. Increase the pivot period if you see too many labels. Adjust zone width so it is neither too narrow (false touches) nor too wide (diluted signals). Set a larger approach distance for JPY pairs. Never use the tool in isolation; combine it with price action, regime (trend or range), volatility and event risk.
Alert setup (TradingView):
Create a new alert. In Condition, select this indicator. Choose either “Approach to W1 Keyzone” or “W1 Keyzone Hit.” Pick the frequency (once per bar or once per bar close). Optionally customize the message with symbol and plan. Save.
Notes and limits:
FX pip logic auto-detects JPY pairs (pip equals 0.01). Non-FX defaults to 1.0 for the pip unit. The indicator uses confirmed weekly pivots and does not look ahead; labels update each bar while zones remain stable. Very large Max Zones values over long histories may affect performance. Zones are intentionally invisible; reduce transparency or add border width in the code if you want visible boxes.
Example workflow:
On D1, locate nearby W1 Res or W1 Sup relative to current price. Check the calendar for risk events such as CPI, NFP or central bank decisions. Drop to H1 or M15 and wait for a trigger (rejection or break and retest). Place the stop beyond or behind the zone and plan risk-reward. Manage the trade with partials at the first structure level, move to break even after a retest, and let the remainder run.
FAQ:
Why do I only see labels? This is by design to keep charts clean. The logic still uses the zones internally.
Can I make zones visible? Yes. Reduce transparency and/or increase border width in the code or expose those as inputs.
How large should the approach distance be for JPY pairs? Typically larger than for non-JPY, for example 40 to 80 pips where one pip equals 0.01.
Disclaimer:
This is not financial advice. For educational purposes only. Always do your own research and use strict risk management.
Support / contact:
Questions or suggestions: (mailto:Delta1trading@protonmail.com).
CRT |TG|CRT |TG| - Central Range Theory Breakout Indicator
Hello Traders!
This indicator is built on the Central Range Theory (CRT) concept. It tracks the high/low levels from previous periods in volatile markets (Forex, Crypto, Stocks) and generates "sweep" signals when price breaks these levels (breakout). It's compatible with ICT (Inner Circle Trader) strategies and helps identify reversal or continuation setups.
Thanks to the original development team—we've just added timezone flexibility and user-friendly settings!
Key Features
Period Detection: Calculates period starts based on your selected timeframe (1 Hour or 4 Hour). At the start of each new period, it draws horizontal lines for the previous period's highest (CRH) and lowest (CRL) levels.
Breakout Detection: When price closes above CRH (upward breakout) or below CRL (downward breakout), it draws new levels based on the current bar's high/low ("15m H/L" labels).
Additionally, it adds a "Sweep" label on the breakout bar—to highlight liquidity sweeps (ideal for filtering false breakouts).
Visual Cleanliness: Lines extend rightward (30 bars ahead), labels are tiny, and the deletion mechanism keeps the chart uncluttered.
Timezone Support: Added popular named timezones for global users (DST handled automatically). Default is UTC—independent of your broker's time.
Usage Tips
Strategy Integration: Treat CRH/CRL as support/resistance. Use 15m H/L post-breakout for trailing stops. Filter with volume or RSI (add other indicators).
Test It: Backtest across timezones. High volatility in crypto (BTCUSDT) yields more signals; quieter forex hours reduce false ones.
Disclaimer: This indicator is for educational purposes. Always use risk management in live trading—past performance doesn't guarantee future results.
Axel Smart TrendAxel Smart Trend is a dynamic system for identifying and tracking market trends.
It combines ATR-based volatility analysis, EMA smoothing, and Fibonacci-anchored zones to show current trend direction and potential reversal areas.
Axel Smart Trend is a dynamic system for identifying and tracking market trends.
It combines ATR-based volatility analysis, EMA smoothing, and Fibonacci-anchored zones to display current trend direction and key reaction areas.
The indicator adapts to changing market volatility, automatically switching between bullish and bearish phases.
Colored clouds visualize the active trend and act as dynamic support and resistance zones during trend continuation.
Cross markers on the chart highlight moments when the price approaches important cloud levels. These crosses are not buy or sell signals, but rather a visual indication that the market has entered a zone of increased interest.
Main parameters:
The ATR period and multiplier define the sensitivity to volatility.
The EMA length controls the depth of trend smoothing.
Signal strength and cooldown settings adjust the precision and frequency of the markers.
Practical use:
Green crosses tend to appear near potential support areas, while red crosses form near resistance or overbought zones.
The clouds help assess trend strength and possible pullback levels.
Best suited for daily and weekly charts.
Disclaimer:
This indicator is intended for analytical and educational purposes only.
It does not provide financial advice or trading recommendations, and past performance does not guarantee future results.
構造型リバーサルThis indicator is currently published as a free protected script.
If there’s enough demand, I may release a paid invite-only version later.
# Structural Reversal Indicator
## Automatically Detect Trend Reversals Based on Dow Theory
### 🎯 Overview
The **Structural Reversal** indicator automatically tracks Dow Theory structure (HH/HL/LH/LL) and detects trend reversals when key support/resistance levels break. It visualizes pullbacks and swing highs/lows, providing objective entry and exit signals.
---
## 💡 What is Structural Reversal?
This indicator monitors the market structure according to Dow Theory:
- **HH (Higher High)** - New highs in uptrend
- **HL (Higher Low)** - Pullback in uptrend
- **LH (Lower High)** - Swing high in downtrend
- **LL (Lower Low)** - New lows in downtrend
When these structural levels break, the indicator signals a potential trend reversal.
---
## 📊 Two Key Signals
### 🔵 Low Reversal (Uptrend Failure)
- **Pattern**: HH → HL → HL break
- **Signal**: ▲ LOW marker appears when price breaks below the Higher Low
- **Meaning**: Uptrend has ended, potential bearish reversal
### 🔴 High Reversal (Downtrend Failure)
- **Pattern**: LL → LH → LH break
- **Signal**: ▼ HIGH marker appears when price breaks above the Lower High
- **Meaning**: Downtrend has ended, potential bullish reversal
---
## ✅ Key Features
### 1. True to Dow Theory
- Confirmed bar-based detection (no repaint)
- Dynamic tracking of high/low relationships
- Objective trend structure analysis
### 2. Defense Line Visualization
- **Uptrend**: Blue solid line marks the Higher Low (HL)
- **Downtrend**: Red solid line marks the Lower High (LH)
- Clear visual indication of critical support/resistance levels
### 3. Historical Line Memory
- Keep past defense lines visible
- Track where structure broke
- Multiple line history settings (0-20 lines)
---
## 🔥 Unique Feature: "Untested Line" Visualization
The most innovative aspect of this indicator is the **three-stage line display system**:
| Line Style | Status | Meaning |
|-----------|--------|---------|
| **Solid** | Currently Active | Current defense line to watch |
| **Dashed** | Untested | Price hasn't returned yet = **High probability of reaction** |
| **Dotted** | Tested | Price already reached once = Function completed |
### The Hypothesis
Many traders observe this phenomenon:
- When price returns to a broken level for the **first time**, it often reacts strongly
- However, on the **second visit and beyond**, the level rarely holds
**Dashed lines are key levels to watch!** When price returns to these untested lines, they may provide high-probability reversal opportunities.
---
## ⚙️ Settings
| Parameter | Description | Default | Recommended |
|-----------|-------------|---------|-------------|
| **Swing Length** | Pivot detection range | 5 | Short-term: 3 / Long-term: 7-10 |
| **Use Close** | Use closing price (true) or wick (false) | false | Close recommended (fewer false signals) |
| **Extend Lines** | Extend lines to the right | true | ON recommended |
| **Keep History Lines** | Number of historical lines to display | 3 | 3-5 for clarity |
| **Alert On** | Enable reversal alerts | true | ON recommended |
---
## 📚 Use Cases
### Case 1: Uptrend Entry
1. Price rising (blue solid defense line visible)
2. New pullback forms → blue solid line updates to new HL
3. Old defense line turns to dashed (untested status)
4. Price falls back to dashed line → watch for bounce!
5. If bounce occurs, dashed line changes to dotted
### Case 2: Trend Reversal Detection
1. During uptrend (blue solid line)
2. Price breaks below defense line
3. ▲ LOW marker appears (Low Reversal)
4. Trend shifts to downtrend (red solid line appears)
5. Consider closing longs or entering shorts
---
## 🎓 Best Practices
### ✅ Effective Use Cases
- **Swing Trading**: Daily/4H timeframe trend following
- **Pullback Trading**: Wait for price to return to defense lines
- **Stop Loss Placement**: Set stops just below/above defense lines
- **Scenario Adjustment**: Use ▲▼ markers to recognize trend shifts
### ⚠️ Important Notes
- **Not recommended as standalone**: Use with other indicators and market context
- **Less effective in ranging markets**: Works best in trending conditions
- **Backtest recommended**: Verify performance with your trading style
---
## 🌟 Summary
**Structural Reversal** faithfully implements Dow Theory to help you never miss important trend reversals.
The **"untested line" concept (dashed lines)** provides a novel approach to visualizing the "freshness" of support/resistance levels.
### Ideal For
- Traders who want to incorporate Dow Theory
- Those seeking objective entry/exit points
- Pullback and swing traders
- Anyone who wants to catch trend reversals early
---
## 📝 Technical Details
- **No Repaint**: All signals based on confirmed bars
- **Lightweight**: Optimized for performance
- **Customizable**: Flexible parameters for different trading styles
- **Alert Ready**: Built-in alert conditions for notifications
---
**Category**: Trend Analysis
**Tags**: #dowtheory #trend #reversal #structure #pivotpoints #supportresistance
Trendly Signals📈 Trendly Signals - Multi- Mode Signal Engine for Smarter Entries
This is my first attempt at creating an indicator to support newer traders - especially those who don’t have much screen time or charting experience - by offering clearer, easier-to-follow buy/sell signals. Trendly Signals is built on the solid foundation of Trend Indicator A- V2 by DZIV , which provided reliable trend visualization.
Trendly stands for Trend-Friendly - a name chosen to reflect its goal: making trend-based trading more approachable, intuitive, and practical. Built on the solid foundation of Trend Indicator A-V2 by DZIV (credited), Trendly Signals takes the original concept much further, transforming it into a full-featured signal engine designed for real- world trading decisions. It introduces actionable entry/exit signals, dynamic filtering, and user-friendly customization - features that aim to make trading more intuitive and practical for those who want clarity and confidence without spending hours on chart analysis.
🔍 Signal Modes Explained
You can choose between two main signal engines depending on your trading style:
🧠 Pulse Mode
• Uses raw trend flips to generate frequent signals
• Best suited for active traders who want more entries and faster feedback
🧘 Zen Mode
• Applies multiple filters (RSI, MACD slope, candle structure, and higher timeframe trend alignment)
• Designed for those who prefer fewer, higher-conviction trades
✨ One of the most powerful upgrades in Trendly Signals is the ability to view both Pulse and Zen modes together on the same chart.
This lets you compare aggressive vs conservative signals in real time - a feature not available in the original script and rarely found in other free-to-use indicators. It’s especially helpful for learning how different strategies behave under various market conditions.
🧭 Trade Mode (Experimental)
This optional feature spaces out signals based on your preferred trading style:
• Scalping: tighter spacing, more signals
• Swing: moderate spacing
• HODL: wider spacing, fewer signals
It also adjusts cooldown periods and minimum price movement thresholds to help reduce noise and avoid overtrading.
⚠️ Note: Trade Mode currently works only with Zen signals. Pulse signals are focused on raw trend flips and are not filtered through Trade Mode logic.
📊 Built- In Backtest Table
Want to see how it performs? The backtest table displays:
• Total trade count
• Win rate
• Signal engine used (Pulse or Zen)
This helps you quickly evaluate performance across different timeframes and modes - no external tools needed.
🎨 Customization Tips
Make the signals work for you:
1. Choose your mode: Pulse for frequent signals, Zen for filtered entries
2. Set your trading style: Trade Mode adapts signal spacing for scalping, swing, or long- term holding
3. Adjust filters: Use cooldown bars, minimum price movement, and signal repetition settings to fine- tune your entries
4. Pick your visuals: Choose between triangle or label styles, and customize signal colours for better clarity
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⚠️ Important Notes
• Chart Type: Standard candles are recommended for the most realistic signal behaviour, but the signals also work fine with other chart types like Heiken Ashi or Renko
• Clean Chart: For best results, apply Trendly Signals on a chart without overlapping indicators
• Credit: Original concept by DZIV (Trend Indicator A- V2) . This version builds on it with new logic, multi- mode signal engines, and adaptive filtering
Axel ATR FlowAxel ATR Flow is a dynamic, volatility-adaptive channel designed to visualize the natural rhythm of market movement.
The indicator builds its structure around the Average True Range (ATR) and a smooth central line — called the Flow — which acts as a flexible base.
As volatility increases, the channel expands; when the market calms down, it contracts.
This creates an adaptive envelope that helps traders see where price is likely to find balance, support, or exhaustion.
Unlike traditional static channels, Axel ATR Flow features real-time interpolation between closed and live data within the same higher-timeframe candle.
This means that even intraday, the indicator smoothly follows actual market movement, offering a realistic view of active volatility.
How it works
The system builds five key elements:
Central Flow Line — the main trend reference.
Main Trail — the primary volatility boundary and near-support zone.
Lower Trail — a deeper overshoot zone, often forming major accumulation areas.
An Upper Trail — the first resistance boundary.
An Upper2 Trail — the extreme resistance level, marking potential exhaustion.
The indicator adapts these levels dynamically using ATR calculations and smoothing filters (SMA or ZLEMA).
It can be locked to specific higher timeframes (Daily, Weekly, Monthly, 2D, 3D) while still reacting smoothly to current intraday price movement.
How to use it
• Trend direction:
The slope of the Flow Line represents the active trend.
When it’s rising, market flow is bullish; when falling, bearish pressure dominates.
• Support and resistance:
The Main and Lower Trails act as dynamic supports where price often bounces in an uptrend.
The Upper and Upper2 Trails mark zones where rallies typically slow down or reverse.
• Entries and exits:
— Buy setups often appear when price approaches or slightly dips below the Main or Lower Trail during an uptrend.
— Take-profit zones align with touches of the Upper or Upper2 Trails.
— In sideways markets, repeated touches at both extremes often precede breakout volatility.
• Volatility signals:
A wide channel means strong volatility — wait for stabilization or use smaller position sizes.
A narrow channel shows contraction — conditions are favorable for continuation trades after breakout.
Practical tips
• Combine Axel ATR Flow with oscillators such as RSI or Stoch RSI to confirm overbought or oversold conditions near outer bands.
• On higher timeframes, the indicator reveals the breathing pattern of the market — periods of compression followed by expansion.
• For spot trading or DCA strategies, entries near the Lower Trail during strong trends often provide excellent accumulation opportunities.
• Works effectively across markets: crypto, forex, indices, and commodities.
Summary
Axel ATR Flow unites precise volatility analysis with smooth visual representation of market structure.
It can be used as both a trend filter and an execution framework, identifying where price flow tends to stabilize or exhaust.
Part of the Axel Alts system, this indicator was engineered for traders who value clarity, adaptability, and realism in market analysis.
Buy Sell Signal — Coin Fix Pro V2.3This indicator is designed to detect trend reversals, momentum shifts, and volatility breakouts to generate precise buy and sell signals.
The core structure is based on a classic ZigZag signal engine, enhanced with modern alert logic to minimize false signals, especially at local tops and bottoms.
How It Works
It uses a combination of Depth, Deviation, and Backstep parameters:
Depth: Defines the minimum swing length required to identify a valid pivot.
Deviation: Sets the minimum price change needed to confirm a reversal.
Backstep: Prevents signal clutter and repaints by controlling bar lookback.
This tri-parameter logic helps eliminate most noise and gives more reliable reversal points.
Positive direction = SELL signal, Negative direction = BUY signal.
Signals can be confirmed at bar close, reducing repaint risk.
Technical Features
BUY/SELL signals generated on bar close
TradingView alertcondition() supported
Automatic trend reversal detection
Fully customizable label colors and sizes
Compatible with both manual and automated strategies
Disclaimer
This indicator is not financial advice. Trading in leveraged markets involves high risk.
All actions and results are the responsibility of the user.
License: CC BY-NC-SA 4.0
Original Algorithm: Yash N. Gode
Modified by: CoinFix (© 2025)
Overview
This indicator listens to direction changes provided by yashgode9/signalLib to display Buy/Sell labels on trend reversals. Visual labels are user-configurable, and alert conditions are tied to bar close by default to mitigate repaint effects from intrabar updates.
How It Works
signalLib.signalLib(low, high, DEPTH, DEVIATION, BACKSTEP) extracts swing-based direction.
On direction change:
direction < 0 ⇒ Buy label
direction > 0 ⇒ Sell label
Repaint: With repaint=true, labels may move before the bar closes. Alerts use barstate.isconfirmed (when enabled) to trigger only on bar close.
Inputs
signalLib Config
DEPTH_ENGINE (default 30): Swing depth; higher ⇒ fewer but stronger pivots.
DEVIATION_ENGINE (default 5): Minimum deviation; reduces noise.
BACKSTEP_ENGINE (default 5): Lookback bars to avoid duplicate swings.
Visibility & Styling
Toggle Buy/Sell labels independently.
Label size, transparency, and colors are customizable.
Alerts
Conditions:
BUY_SIGNAL → “BUY signal (CoinFix Pro Signal)”
SELL_SIGNAL → “SELL signal (CoinFix Pro Signal)”
Confirmation: When “alerts on bar close” is enabled, alerts fire only after bar close.
How to Use: Create an alert → Condition: This indicator → select the desired condition.
Tips
Higher timeframes yield fewer but cleaner signals.
Increasing DEPTH/DEVIATION/BACKSTEP reduces false triggers but increases lag.
You can hide labels and rely solely on alerts if preferred.
Limitations
Swing-based detection can still produce clustered signals in choppy ranges.
Visual repaint can occur intrabar; alert firing is protected by bar-close confirmation.
Credits / License / Disclaimer
Original concept & library: Yash Nandkumar Gode
Modified by: CoinFix (© 2025).
License: CC BY-NC-SA 4.0 — Non-commercial use, attribution required, share-alike.
Disclaimer: For educational/analytical purposes only; not financial advice. Trading involves risk; users are responsible for their decisions.
Multitime TrendThis indicator combines 3 of the most powerful components:
Component Timeframe Purpose
EMA Fast & Slow Current chart timeframe Defines the dynamic trend (faster reaction to trend shifts)
Tchimoku (Tenkan / Kijun) Current chart timeframe Identifies the current price equilibrium zone (mean reversion)
Multi-Timeframe Ichimoku H5 (5 minutes) & H1 (1 hour) Confirms higher timeframe trend to filter noise & avoid trading against major trend.
EMA Trend (Primary Direction)
ema_fast = EMA 34
ema_slow = EMA 72
If EMA 34 crosses above EMA 72 → Bullish Trend
If EMA 34 crosses below EMA 72 → Bearish Trend
EMA color changes automatically (lime = buy, red = sell).
Tchimoku Tenkan-Kijun (Mean Reversion Logic)
Not using full Ichimoku — only Tenkan + Kijun, enhanced with ATR
If Tenkan > Kijun → short-term momentum is bullish
If Tenkan < Kijun → short-term momentum is bearish
Both lines are plotted and color-filled to visualize which side has control
→ More sensitive than EMA → reacts faster to real-time market flow.
Higher Timeframe Confirmation (H5 + H1)
Using the same Tenkan/Kijun algorithm, but calculated from:
H5 (5-minute timeframe)
H1 (1-hour timeframe)
If both H5 & H1 show the same fill color (teal = bullish, red = bearish):
→ Higher timeframe MTF confluence is confirmed
→ Helps avoid entering against dominant macro trend even if current chart shows minor reversal.
Role of This Indicator
Acts as a trend filter & smart bias detector, helping you decide BEFORE entering a trade.
It does not auto-execute trades, but instantly tells you:
✅ Should I BUY?
✅ Should I SELL?
❌ Should I STAY OUT because higher timeframe is against me?
ZEN MTF Price ProjectionZEN MTF Price Projection
A lightweight, multi‑timeframe price projection that extends a ZigZag‑style path into the future. It chains six timeframes (1m → 5m → 15m → 1H → 4H → 1D) where each segment continues the previous one, creating a continuous forward path of arrows. The engine blends expected move and volatility to estimate the next leg for each TF. Calculations are proprietary and optimized for real‑time updates.
Caution
Treat the projection as a guide, not a guarantee. Avoid trading directly against higher‑TF segment direction.
Key features
MTF chained path: each TF continues the previous, producing a continuous forward “ZigZag‑style” projection.
Real‑time or timed updates: redraws every bar (Realtime) or every N minutes.
Visual arrows every N bars for readability; configurable segment length per TF.
Resource‑safe rendering with automatic cleanup.
Inputs (quick guide)
Bars per timeframe: number of bars each TF projects forward.
Arrow every N bars: density of arrows along each segment.
Update mode: Realtime or Every N minutes (default 1).
Colors: up/down palette for projected segments.
Alerts and workflow tips
Use Trading Panel alerts on color changes of the active segment (manual rule).
Combine with your execution playbook (e.g., candle confirmation, volume burst, or LTF pullback).
Best with liquid markets and regular sessions; widen SL on high‑volatility assets.
What this indicator is not
Not a crystal ball; it’s a probabilistic forward path based on proprietary MTF expectations and volatility scaling.
Not a replacement for risk management or market context.
Disclaimer
For educational purposes only. Past performance is not indicative of future results. Trade at your own risk.
Short TimeFrame MAs with momentum cloudsThis indicator displays multiple moving averages to help identify short- and mid-term trends.
It includes four SMAs (9, 50, 150, 200) and two EMAs (21, 55) with color changes showing bullish or bearish momentum.
The area between the EMAs is filled to highlight trend direction.
An optional smoothing layer lets you apply different MA types or Bollinger Bands for additional clarity.
It’s designed to give a clear visual of overall trend strength, direction, and volatility on any timeframe.
