📊 aiTrendview.com Volume Pressure Gauge + Volume %📊 Volume Pressure Gauge + Volume % Indicator Guide
This Pine Script TradingView indicator visualizes both volume pressure (the balance of buying vs. selling activity) and the current day's trading volume compared to a moving average. It's designed to give traders an at-a-glance understanding of whether buyers or sellers are dominating and whether today's volume is significant relative to history.
Key Segments of the Indicator
1. Inputs Section
• SMA Length for Volume Avg: Lets you set the period (default 20) for the Simple Moving Average (SMA) used to calculate average volume.
• Show Volume Pie / Gauge: Toggle the visible display of the volume gauge table.
• Table Position (X & Y): Customize where the indicator’s table appears on your chart for maximum visibility.
Advantage:
Personalization ensures the tool is flexible for different trading styles and chart setups.
2. Volume Data Calculations
• Daily Volume (volToday): Pulls the most recent daily trading volume of the security.
• X-day Average Volume (volAvg): Averages the daily volume over your chosen period (commonly 20 days).
• Volume Percentage (volPct): Shows today’s volume as a percent of the recent X-day average.
Advantage:
Spot unusual surges or drops in trading activity immediately, which can signal the start of strong trends or reversals.
3. Volume Pressure Calculation
• Buy Pressure: Volume allocated to upward price movement.
• Sell Pressure: Volume allocated to downward price movement.
• Percent Buy/Sell: Converts pressure values into easy-to-read percentages.
Advantage:
Quickly identifies who controls the current session (bulls or bears), even before price confirms direction.
4. Visual Gauge with Pseudo-Bars
• Progress Bars: Uses block characters to visually represent the proportion of buying or selling pressure out of 20 units (maximum).
• Sell Bar (red): Number of red blocks = % Sell Pressure.
• Buy Bar (green): Number of green blocks = % Buy Pressure.
Advantage:
Visual feedback is instantly graspable— a longer green bar means buyers dominate, red means sellers dominate, saving time on analysis.
5. Table Display with Progress
• Header: “📊 Volume Pressure”.
• Rows:
o Sell Pressure % and visual bar.
o Buy Pressure % and visual bar.
o Volume % vs. average.
Advantage:
Summarizes truly actionable data in one compressed table—no need to scan multiple chart overlays or indicators.
How This Indicator Helps Traders
• Spot Momentum Shifts: Volume pressure pivots can indicate trend reversals before price.
• Validate Breakouts: Unusually high volume with strong buy or sell pressure confirms breakout credibility.
• Avoid False Moves: Low volume or mixed pressure warns of unreliable price swings.
• Market Context: Know if a day's trading is typical, abnormally active, or sluggish.
Step-by-Step Instructions for New Traders
1. Add to Chart
• Open your TradingView chart.
• Paste or select the indicator code.
• Choose your preferred SMA length (20 is standard for most stocks).
2. Configure Display
• Decide where you want the gauge (e.g., bottom right).
• Ensure “Show Volume Pie / Gauge” is enabled.
3. Interpret the Data
• Sell/Buy Pressure: More red blocks = sellers leading; more green blocks = buyers leading.
• Volume %:
o If above 100%, today's volume exceeds the recent average (trend may be stronger).
o Green % → Volume surge; Orange % → Normal/subdued volume.
4. Make Trading Decisions
• Potential Buy: High buy pressure + above-average volume.
• Potential Sell/Short: High sell pressure + above-average volume.
• Wait or Avoid: Low volume, no clear pressure; consider sitting out until conviction improves.
5. Combine with Other Tools
• This is a volume-based confirmation tool—use with price action, support/resistance, or trend indicators for best results.
Practical Example
Row What It Shows How to Use
Sell: 70% ████████ Sellers have 70% of pressure Look for short opportunities
Buy: 30% ███ Buyers have 30% of pressure Caution on long entries
Volume %: 120% Volume surge (120% of the average) Move may have conviction
Tips for Beginners
• Don’t trade exclusively on one indicator—combine signals for more reliable setups.
• Start with longer-term charts while learning (daily or 4h bars).
• Observe several examples to recognize how volume pressure patterns precede strong moves.
• Always use a stop loss—no indicator guarantees success.
This tool provides clear, actionable volume insight for new and experienced traders alike, making complex underlying behaviour much more accessible.
指標和策略
aiTrendview.com Professional Technical Analysis Dashboard📊 Professional Technical Analysis Dashboard - Complete Guide
🎯 Overview
This is a comprehensive, institutional-grade technical analysis dashboard that combines multiple proven indicators into a single, visually stunning interface. It provides real-time market sentiment analysis through three critical categories: Summary, Oscillators, and Moving Averages, all displayed in a professional royal blue and white theme with intuitive progress indicators.
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🔬 Technical Foundation & Methodology
📈 Summary Section - The Master Signal
The Summary section is the crown jewel of this dashboard, combining all 16 individual indicators into one powerful, unified signal.
What It Does:
• Aggregates 16 Technical Indicators: Combines 8 oscillators + 8 moving averages
• Weighted Scoring System: Each indicator contributes equally to the final score
• Real-Time Analysis: Updates with every bar close for current market conditions
• Universal Compatibility: Works on any symbol (stocks, forex, crypto, commodities)
How It Works:
Summary Score = Oscillator Signals + Moving Average Signals
Range: -16 to +16
├── Strong Buy: +6 to +16 (Green)
├── Buy: +2 to +5 (Light Green)
├── Neutral: -1 to +1 (Gray)
├── Sell: -5 to -2 (Light Red)
└── Strong Sell: -16 to -6 (Red)
Trading Advantages:
✅ Quick Decision Making: One glance tells you market sentiment
✅ Reduces Analysis Paralysis: No need to check 16 indicators individually
✅ Higher Accuracy: Multiple confirmations reduce false signals
✅ Risk Management: Clear zones help position sizing decisions
✅ Time Efficient: Perfect for busy traders managing multiple positions
When To Use Summary:
• Entry Decisions: Strong Buy/Sell signals for new positions
• Portfolio Overview: Quick assessment of multiple holdings
• Risk Assessment: Understanding overall market bias
• Position Sizing: Stronger signals warrant larger positions
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⚡ Oscillators Section - Market Momentum Analysis
The Oscillators section focuses on momentum and overbought/oversold conditions, using 8 powerful momentum indicators.
Included Indicators & Their Purposes:
1. RSI (Relative Strength Index) - 14 Period
• Purpose: Identifies overbought (>70) and oversold (<30) conditions
• Trading Signal: RSI > 70 = Sell | RSI < 30 = Buy
• Best For: Mean reversion strategies, divergence analysis
2. Stochastic Oscillator - 14 Period
• Purpose: Compares closing price to price range over time
• Trading Signal: >80% = Overbought | <20% = Oversold
• Best For: Short-term swing trading, momentum confirmation
3. CCI (Commodity Channel Index) - 20 Period
• Purpose: Measures deviation from statistical mean
• Trading Signal: >100 = Sell | <-100 = Buy
• Best For: Cycle analysis, breakout confirmation
4. Williams %R - 14 Period
• Purpose: Momentum oscillator measuring closing vs. high-low range
• Trading Signal: >-20 = Overbought | <-80 = Oversold
• Best For: Timing entries in trending markets
5. MACD (Moving Average Convergence Divergence)
• Purpose: Trend-following momentum indicator
• Trading Signal: MACD Line > Signal Line = Buy | Below = Sell
• Best For: Trend identification, momentum shifts
6. Momentum - 10 Period
• Purpose: Rate of price change over specified period
• Trading Signal: Positive = Bullish | Negative = Bearish
• Best For: Early trend detection, momentum confirmation
7. ROC (Rate of Change) - 9 Period
• Purpose: Percentage change in price over time
• Trading Signal: >2% = Buy | <-2% = Sell
• Best For: Identifying acceleration in price movements
8. Bollinger Bands - 20 Period, 2 StdDev
• Purpose: Volatility-based support/resistance levels
• Trading Signal: Above Upper Band = Sell | Below Lower Band = Buy
• Best For: Volatility trading, mean reversion strategies
Oscillator Trading Advantages:
✅ Timing Precision: Excellent for entry/exit timing
✅ Overbought/Oversold Detection: Identifies potential reversals
✅ Divergence Analysis: Spots weakening trends early
✅ Short-Term Focus: Perfect for day trading and swing trading
✅ Momentum Confirmation: Validates trend strength
When Oscillators Are Most Effective:
• Range-Bound Markets: Excellent for buying dips, selling peaks
• Reversal Trading: High probability setups at extreme levels
• Momentum Trading: Confirming breakouts and trend acceleration
• Risk Management: Avoiding entries at poor risk/reward levels
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📊 Moving Averages Section - Trend Analysis
The Moving Averages section provides trend identification and direction, using 8 different moving averages across multiple timeframes.
Included Moving Averages:
Simple Moving Averages (SMA):
• SMA 10: Very short-term trend (2 weeks of daily data)
• SMA 20: Short-term trend (1 month of daily data)
• SMA 50: Medium-term trend (2.5 months of daily data)
• SMA 100: Long-term trend (5 months of daily data)
• SMA 200: Major trend (10 months of daily data)
Exponential Moving Averages (EMA):
• EMA 10: Responsive short-term trend
• EMA 20: Responsive medium-term trend
• EMA 50: Responsive long-term trend
Signal Logic:
Price vs Moving Average Analysis:
├── Strong Buy: Price > MA by 2%+ (Strong uptrend)
├── Buy: Price > MA by 0-2% (Mild uptrend)
├── Neutral: Price ≈ MA (Sideways/transition)
├── Sell: Price < MA by 0-2% (Mild downtrend)
└── Strong Sell: Price < MA by 2%+ (Strong downtrend)
Moving Average Trading Advantages:
✅ Trend Identification: Clear bullish/bearish bias
✅ Support/Resistance: MAs act as dynamic support/resistance
✅ Multi-Timeframe Analysis: Short to long-term perspectives
✅ Position Management: Trend following for position sizing
✅ Market Context: Understanding broader market direction
Strategic Applications:
• Trend Following: Buy above MAs, sell below MAs
• Support/Resistance Trading: MAs as dynamic levels
• Position Management: Trailing stops using moving averages
• Market Bias: Understanding institutional positioning
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🎯 Step-by-Step Trading Guide for New Traders
Phase 1: Dashboard Setup (5 Minutes)
Step 1: Installation
1. Copy the Pine Script code
2. Open TradingView Pine Editor
3. Paste code and click "Add to Chart"
4. The dashboard appears at bottom center
Step 2: Initial Configuration
1. Size Selection: Choose "Normal" for balanced view
2. Enable All Sections: Keep Summary, Oscillators, and MAs enabled
3. Progress Bars: Keep enabled for visual clarity
4. Timeframe: Start with "60" (1-hour analysis)
Step 3: Visual Verification
• Confirm dashboard shows at bottom center
• Verify all three sections are visible
• Check that progress bars are displaying
• Ensure colors are clear (green=bullish, red=bearish)
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Phase 2: Understanding the Signals (10 Minutes Practice)
Step 1: Summary Section Reading
Practice Exercise: Look at 5 different stocks and note:
• What color is the signal? (Green=Buy, Red=Sell, Gray=Neutral)
• What's the text saying? (Strong Buy, Buy, Neutral, Sell, Strong Sell)
• How filled is the progress bar? (More filled = stronger signal)
Example Reading:
SUMMARY: BUY (Green text)
Progress: ▰▰▰▰▰▰▱▱▱▱ (60% filled, positive)
BUY: 8 | NEUTRAL: 4 | SELL: 4
Interpretation: Moderately bullish, 8 indicators bullish vs 4 bearish
Step 2: Oscillator Analysis
Key Questions to Ask:
• Is the oscillator signal the same as summary?
• Are we in overbought territory (red signal)?
• Are we in oversold territory (green signal)?
• Is momentum building (progress bar filling)?
Trading Application:
• Green Oscillator + Green Summary = High probability buy
• Red Oscillator + Red Summary = High probability sell
• Conflicting signals = Wait for clarity
Step 3: Moving Average Confirmation
Trend Analysis Checklist:
• What's the MA signal? (Bullish/Bearish)
• Does it match the summary?
• How strong is the trend? (Progress bar intensity)
• Are we trading with or against the trend?
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Phase 3: Practical Trading Application (Real Trading)
Strategy 1: Conservative Confirmation Trading
Entry Rules (Low Risk):
1. All three sections must agree (Summary, Oscillators, MAs)
2. Signal strength >60% (progress bars more than half filled)
3. Wait for "Strong Buy" or "Strong Sell" signals only
4. Enter in direction of strongest signal
Example:
Summary: STRONG BUY (▰▰▰▰▰▰▰▰▱▱)
Oscillators: BUY (▰▰▰▰▰▱▱▱▱▱)
Moving Averages: STRONG BUY (▰▰▰▰▰▰▰▰▰▱)
Action: LONG position with high confidence
Strategy 2: Scalping with Oscillators
Entry Rules (Active Trading):
1. Focus primarily on Oscillator section
2. Look for oversold (strong green) for buys
3. Look for overbought (strong red) for sells
4. Use 5-15 minute timeframes
5. Quick exits when signal changes
Strategy 3: Trend Following with MAs
Entry Rules (Position Trading):
1. Moving Average section must be bullish for longs
2. Summary should confirm the trend
3. Use pullbacks in oscillators for entries
4. Hold positions while MAs remain favorable
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Phase 4: Risk Management Integration
Position Sizing Based on Signal Strength
Signal Strength Guide:
├── 90-100% filled bars: 3-5% of capital (very high confidence)
├── 70-89% filled bars: 2-3% of capital (high confidence)
├── 50-69% filled bars: 1-2% of capital (moderate confidence)
└── <50% filled bars: No position or paper trade only
Stop Loss Placement
• Oscillator Trades: 2-3% stops (short-term)
• Trend Following: 5-8% stops (give room for noise)
• Strong Signal Trades: Tighter stops (1-2%)
Take Profit Strategy
• First Target: When signal changes from Strong to Normal
• Second Target: When signal goes neutral
• Full Exit: When signal reverses completely
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🏆 Advanced Trading Applications
Multi-Timeframe Analysis
Professional Technique:
1. Daily Chart: Check overall trend (MAs section)
2. 1-Hour Chart: Find entry timing (Oscillators)
3. 15-Minute Chart: Precise entry execution
Divergence Trading
Advanced Setup:
• Price makes new highs but Oscillators show weakness
• Price makes new lows but Oscillators show strength
• High probability reversal signals
Market Correlation Analysis
Portfolio Management:
• Check dashboard on multiple correlated assets
• Look for broad market agreement or divergence
• Adjust position sizes based on correlation
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🚨 Common Mistakes to Avoid
Beginner Errors:
❌ Trading against all three signals (very low probability)
❌ Ignoring progress bar intensity (signal strength matters)
❌ Using wrong timeframe (scalping on daily signals)
❌ Over-leveraging on weak signals (<50% progress bars)
❌ Not waiting for confirmation (jumping on first green/red)
Proper Approach:
✅ Wait for alignment between sections
✅ Use signal strength for position sizing
✅ Match timeframe to trading style
✅ Start small while learning the system
✅ Keep trading journal of signal accuracy
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📊 Performance Optimization Tips
Best Timeframes for Different Strategies:
• Scalping: 5-15 minute analysis
• Day Trading: 15-60 minute analysis
• Swing Trading: 1-4 hour analysis
• Position Trading: Daily analysis
Market Condition Adaptation:
• Trending Markets: Focus on MA section, use oscillator pullbacks
• Range-Bound Markets: Focus on oscillator extremes
• High Volatility: Reduce position sizes, wait for stronger signals
• Low Volatility: Can take moderate signals with proper stops
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🎯 Success Metrics & Tracking
Key Performance Indicators:
• Signal Accuracy: Track win rate by signal strength
• Risk-Adjusted Returns: Profit per unit of risk taken
• Signal Consistency: How well signals align across sections
• Market Condition Performance: Which signals work best when
Recommended Practice Routine:
1. Daily Review: Check dashboard on 5-10 watchlist stocks
2. Signal Logging: Note signal strength and outcomes
3. Weekly Analysis: Review which signals performed best
4. Monthly Optimization: Adjust strategy based on performance data
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This Professional Technical Analysis Dashboard represents a complete trading solution that combines institutional-grade analysis with retail trader accessibility. By following this comprehensive guide, traders of all experience levels can harness the power of 16 technical indicators through one beautiful, intuitive interface. 🚀📈
Remember: Consistent profitability comes from disciplined application of proven systems, proper risk management, and continuous learning from market feedback.
High-Mid-Low 200 Day and Buy Levels and labels
Volume-Scaled PVR with Dynamic Buy Levels (ETF investing Visual Aid)
Description
This indicator is designed primarily for exchange-traded fund (ETF) traders and investors who seek a broad, visual tool to assist in identifying favorable buy and sell regions based on key price levels in relation to High and Lows of the ETF.
Key Features
Lookback Reference Levels:
Automatically identifies and plots key price levels within a user-defined lookback period:
Period High: Highest price in the lookback window.
Period Low: Lowest price in the lookback window.
Mid-Line: Midpoint between the period high and low.
Detailed Percentage Labels:
Displays percentage distances from the current price to the period high, period low, and their respective most recent occurrences, along with bar-counts for context, allowing quick assessment of price positioning relative to significant recent highs and lows.
Dynamic Buy-Level Lines for Multiple ETFs:
Supports a configurable list of ETF tickers with predefined buy price levels. When charting one of these ETFs, a horizontal line and label mark the specified buy price level, serving as a visual reminder or guide for entries.
Lightweight and Visual:
Designed to overlay directly on price charts with minimal clutter, providing clean and insightful visual references to inform buy-low and sell-high decisions.
How It Helps You
Offers broad, contextual cues to guide "buy low, sell high" strategies on ETFs by visualizing:
Where price currently stands within recent high/low ranges.
Specific buy price levels personalized for tracked ETFs as a check before committing.
Flexible lookback parameters allow tuning sensitivity to your preferred timeframes and trading style.
Usage Notes
Customize the list of ETFs and associated buy prices within the script via arrays to suit your watchlist. (Make a working copy to update Arrays, ensure pair matching).
Best applied on daily or higher timeframes for clearer trend dynamics.
This is a visual aid and should be combined with your own analysis and risk management techniques and other standard/established indicators.
RSI Long Only with Confirmed CrossbacksThis RSI-based long-only strategy aims to identify and trade potential reversals with confirmation to reduce false signals. It enters a long position only after the Relative Strength Index (RSI) first dips below a specified oversold threshold (default 44) and then crosses back above it, signaling a possible bullish reversal with momentum. The strategy avoids premature entries by requiring this two-step confirmation. Similarly, it exits the long position only after RSI first rises above the overbought threshold (default 70) and then crosses back below it, indicating a potential loss of bullish momentum. By waiting for RSI to travel beyond the thresholds and then revert, the strategy attempts to capture stronger and more reliable directional moves while filtering out temporary spikes.
Unified Signal EngineThis Pine Script titled "Unified Signal Engine" is a comprehensive multi-indicator trading tool designed to generate buy and sell signals based on the combined logic of five different technical indicators:
🔍 Core Components
PMO (Price Momentum Oscillator)
Uses double-smoothed rate of change to detect momentum shifts.
Buy signal: when PMO crosses above its signal line.
Average Force
Measures the strength of price movement within a range.
Buy signal: when the force is positive.
Dynamic Sentiment RSI
A sentiment-weighted RSI with smoothing and step rounding.
Buy signal: when sentiment RSI is above zero.
Adaptive Resonance Oscillator
Uses Hilbert Transform and adaptive RSI logic.
Buy signal: when RSI crossover occurs and RSI is above 50 (added filter for stronger confirmation).
Turbo Oscillator
Combines RSI, MFI, and Stochastic indicators with divergence detection and take-profit logic.
Buy signal: when oscillator conditions and reversal patterns align.
📈 Signal Logic
Buy Signal (long) is triggered when all selected indicators (based on user input toggles) align positively.
Sell Signal (short) is triggered when all selected indicators align negatively.
🔔 Alerts and Visuals
Plots triangle shapes below/above bars for buy/sell signals.
Alerts are configured for buy, sell, and combined conditions.
🧠 Customisation
Users can toggle each indicator on/off.
Includes smoothing, divergence detection, and visual styling options.
This script is ideal for traders looking to unify multiple momentum and sentiment indicators into a single decision engine, offering flexibility and layered confirmation for entries and exits.
Price discovery indicatorGives an ability to show places where price drops more than n percent in x candles. Use cases: see dips of btc, get a notification when a stablecoin goes crazy, validate that webhook integration works as expected using keep alive messages.
Features included:
- Price dip alerts. Create an alert that sends a notification every time price dips more than expected (yellow zone at the chart).
- Percentage drop threshold. Define how many percents price should drop to trigger an alert and to show a yellow zone.
- Candles length threshold. Define within how many candles this drop should happen. If price drops in 2% within 10 candles, but this option is 5 - the alert will not be triggered because price dropped not as fast as expected.
- Templates of messages on price dip and price recovery. Set your message that should be triggered with alert.
- Keep alive feature. Set to trigger keep alive alerts every period. Can be helpful if you don't check charts often - this feature will trigger alert every period with "hey, the integration is alive" message. I use it to validate on weekly basis that tradingview triggers my alerts (example: you created an alert with expiration date and forgot to recreate it), that webhook integration receives these alerts, that the integration sends these alerts to telegram. Example: I expect to see this message every monday's morning, otherwise something is broken and I have to check what is wrong with my alerting system.
EMA Strength V2This indicator plots a single Exponential Moving Average (EMA) line whose color changes based on a comparison with a second EMA. The user can customize both EMA lengths and choose separate price sources (like close, hlc3, etc.) for each EMA.
The line turns green when EMA 1 is greater than EMA 2, indicating bullish momentum, and red when EMA 1 is less than EMA 2, signaling potential bearishness. This dynamic coloring helps traders visually track trend strength and possible reversals.
The Scalper System XAUUnlock powerful breakout opportunities with this precision tool designed for professional traders.
This indicator combines breakout logic with a smart VWAP filter anchored to the New York session, ensuring only high-quality, directional trades are highlighted, I suggest to use only on GOLD timeframe 5 min.
📈 Features:
Breakout Signals: Detects price breakouts above/below key range levels based on a customizable lookback period.
Session-Aware VWAP Filter: Filters out low-probability trades by validating signal direction against the anchored VWAP starting from the New York open (9:30 AM EST).
Smart Signal Management: Prevents repeated signals in the same direction until a reversal is detected.
Visual Alerts: Clear BUY and SELL labels on the chart, no repainting, no ambiguity.
Multi-Timeframe Friendly: Optimized for scalping and intraday strategies (ideal on 3m or 5m timeframes).
🎯 Why use it?
This indicator is designed to keep you aligned with the institutional flow by using the VWAP as a dynamic support/resistance filter. It eliminates noise and focuses only on breakout setups that occur in the direction of session momentum, increasing your probability of success.
🛠 Settings:
Lookback Period: Define how many candles to scan for the range breakout.
VWAP Session Start: Fixed to New York session open to track real institutional volume-weighted average price.
💡 Ideal for:
Futures Traders (GC, NQ, ES)
Forex & Metals (XAUUSD)
Scalpers and Day Traders
Breakout and VWAP Strategy Followers
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Sblocca opportunità di breakout ad alta precisione con questo strumento pensato per trader professionisti.
L’indicatore combina la logica di breakout con un intelligente filtro VWAP ancorato all’apertura della sessione di New York, mostrando solo segnali di trading di alta qualità e direzionali, il mio consiglio è di usarlo solo sul GOLD indicativamente sui 5 minuti.
📈 Caratteristiche principali:
Segnali di Breakout: Rileva rotture al rialzo/ribasso sopra o sotto i livelli chiave, calcolati su un periodo di analisi personalizzabile.
Filtro VWAP basato sulla sessione: Esclude i trade a bassa probabilità, validando i segnali solo se in linea con la direzione del VWAP della sessione di New York (apertura 15:30 ora italiana).
Gestione Intelligente dei Segnali: Evita segnali ripetuti nella stessa direzione finché non si verifica un’inversione.
Avvisi Visivi: Etichette chiare di BUY e SELL sul grafico, senza repaint, zero ambiguità.
Ottimizzato per Multi-Timeframe: Funziona perfettamente per scalping e intraday (ideale su timeframe 3m o 5m).
🎯 Perché usarlo?
Questo indicatore ti mantiene allineato con il flusso istituzionale utilizzando il VWAP come supporto/resistenza dinamico. Elimina il rumore di fondo e si concentra solo su configurazioni di breakout che avvengono nella direzione della forza della sessione, aumentando la probabilità di successo.
🛠 Impostazioni personalizzabili:
Periodo di analisi: Imposta il numero di candele da analizzare per calcolare i livelli di breakout.
Inizio sessione VWAP: Fissato all'apertura della sessione di New York per tracciare il vero prezzo medio ponderato per volume istituzionale.
💡 Ideale per:
Trader su Futures (GC, NQ, ES)
Forex & Metalli (es. XAUUSD)
Scalper e Day Trader
Strategie basate su Breakout e VWAP
Stock Table📊 Professional Stock Market Table - Pine Script v5
🎯 Overview
This is a comprehensive, real-time stock monitoring table designed for TradingView that transforms your chart into a professional trading dashboard. Built with Pine Script v5, it displays live market data for up to 10 customizable securities in an organized, color-coded table format.
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🚀 Core Capabilities
📈 Real-Time Data Processing
• Live Price Feeds: Direct integration with TradingView's request.security() function
• Multi-Timeframe Support: Adapts to any chart timeframe automatically
• Instant Updates: Refreshes on every bar close with current market data
• Cross-Market Coverage: Supports stocks, forex, crypto, indices, commodities
• Data Accuracy: Uses lookahead=barmerge.lookahead_off for historical accuracy
🎨 Advanced Visual Customization
• 9 Strategic Positions: Place anywhere on chart (all corners, centers, middle positions)
• Dynamic Layout: 1-5 column configurations with auto-calculating rows
• 4 Size Options: Tiny, Small, Normal, Large text sizing
• Professional Color Scheme: Customizable background, headers, text colors
• Smart Color Coding: Green/red price change indicators with neutral states
📊 Intelligent Table Structure
• Auto-Responsive Design: Table dimensions adjust based on column count
• Professional Headers: Optional Symbol | Price | Change column headers
• Compact Data Display: Symbol name, current price, absolute & percentage change
• Clean Formatting: Precise decimal places, proper alignment, readable layout
• Error Handling: Handles null data, division by zero, invalid symbols gracefully
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🔧 Technical Specifications
Data Architecture
- Stock Data Arrays: Dynamic string and float arrays for efficient data management
- Security Requests: Individual request.security() calls for each symbol
- Real-time Processing: Uses barstate.islast for optimal performance
- Memory Management: Efficient array operations with proper cleanup
Performance Optimizations
• Conditional Rendering: Only processes data on the latest bar
• Efficient Memory Usage: Clears and rebuilds table data on each update
• Minimal Resource Impact: Lightweight code structure with no unnecessary loops
• Fast Execution: Direct data access without complex calculations
Symbol Processing
• Exchange Extraction: Automatically removes exchange prefixes (NASDAQ:, NYSE:)
• Clean Display Names: Shows only ticker symbols (AAPL, GOOGL, etc.)
• Flexible Input: Accepts any TradingView-supported symbol format
• Error Resilience: Continues operation even if some symbols fail
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🎛️ User Controls & Settings
Securities Configuration
• 10 Customizable Slots: Input any combination of stocks, ETFs, crypto, forex
• Global Market Support: Works with any TradingView-supported instrument
• Easy Symbol Changes: Simple dropdown interface for quick modifications
• Default Professional Portfolio: Pre-loaded with major tech and financial stocks
Layout Customization
Position Options:
├── Top: Left, Center, Right
├── Middle: Left, Center, Right
└── Bottom: Left, Center, Right
Column Configurations:
├── 1 Column: 10 rows (vertical list)
├── 2 Columns: 5 rows (balanced view)
├── 3 Columns: 4 rows (compact display)
├── 4 Columns: 3 rows (wide format)
└── 5 Columns: 2 rows (ultra-wide)
Visual Customization
• Background Control: Transparency settings (0-90%)
• Header Styling: Toggle headers with custom colors
• Text Appearance: Four size options with color controls
• Change Indicators: Separate colors for up/down movements
• Professional Theming: Dark theme optimized for trading environments
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💼 Professional Trading Advantages
Market Monitoring
✅ Multi-Asset Oversight: Monitor diverse portfolios in one view
✅ Quick Performance Scan: Instant visual identification of winners/losers
✅ Real-Time Alerts: Color changes provide immediate market feedback
✅ Space Efficient: Minimal chart real estate usage
✅ Always Visible: Persistent display regardless of chart zooming
Decision Making Support
✅ Comparative Analysis: Side-by-side performance comparison
✅ Trend Recognition: Immediate color-coded trend identification
✅ Portfolio Balance: Quick assessment of position performance
✅ Market Correlation: Observe sector movements simultaneously
✅ Risk Management: Rapid identification of adverse movements
Workflow Integration
✅ Chart Integration: Seamlessly blends with existing chart analysis
✅ Non-Intrusive: Doesn't interfere with technical analysis
✅ Customizable Placement: Adapts to any chart layout preference
✅ Professional Appearance: Suitable for client presentations
✅ Multi-Monitor Setup: Works perfectly on secondary displays
________________________________________
🔬 Technical Implementation Details
Pine Script Architecture
Data Flow:
Input Symbols → Security Requests → Data Processing → Table Creation → Visual Rendering
Key Functions:
├── get_name(): Symbol parsing and cleaning
├── get_table_position(): Dynamic positioning system
├── get_table_size(): Responsive sizing control
├── Array Management: Efficient data storage and retrieval
└── Table Operations: Creation, clearing, and population
Security & Reliability
• Error Handling: Comprehensive null checks and data validation
• Fallback Systems: Graceful degradation for missing data
• Performance Monitoring: Optimized for minimal CPU usage
• Memory Safety: Proper array cleanup and resource management
• Version Compatibility: Built for Pine Script v5 standards
Advanced Features
• Dynamic Calculations: Real-time percentage and absolute change computation
• Conditional Formatting: Context-aware color application
• Responsive Design: Auto-adjusting layout based on configuration
• Professional Typography: Optimized text sizing and spacing
• Cross-Platform Compatibility: Works on all TradingView platforms
________________________________________
📱 Use Cases & Applications
Day Trading
• Monitor watchlist stocks during active trading sessions
• Quick identification of breakout opportunities
• Real-time portfolio performance tracking
• Sector rotation analysis
Portfolio Management
• Long-term investment monitoring
• Diversification balance assessment
• Performance comparison across holdings
• Risk exposure evaluation
Market Analysis
• Sector strength comparison
• Market correlation studies
• Index component analysis
• Cross-asset performance review
Professional Trading
• Client portfolio dashboards
• Trading room displays
• Educational presentations
• Research and analysis support
________________________________________
🎯 Competitive Advantages
Versus Standard Watchlists
✅ Visual Integration: Embedded directly in charts
✅ Customizable Layout: Flexible positioning and sizing
✅ Professional Appearance: Trading-room quality display
✅ Real-Time Updates: Immediate price and change updates
Versus External Tools
✅ No Additional Software: Built into TradingView platform
✅ Synchronized Data: Uses same data source as charts
✅ Customizable Symbols: Not limited to pre-defined lists
✅ Cost Effective: No additional subscription fees
Versus Basic Pine Scripts
✅ Professional Quality: Production-ready code standards
✅ Error Resilience: Comprehensive error handling
✅ User-Friendly: Intuitive settings and controls
✅ Performance Optimized: Minimal resource consumption
________________________________________
🔧 Installation & Setup
Quick Start
1. Copy Pine Script code to TradingView Pine Editor
2. Add to chart - table appears with default settings
3. Customize symbols through indicator settings
4. Adjust position and appearance as needed
Optimization Tips
• Position table to avoid interfering with chart analysis
• Use 2-3 columns for optimal readability
• Choose contrasting colors for better visibility
• Regular symbol updates for current market focus
________________________________________
This Professional Stock Market Table represents a complete solution for serious traders and investors who demand real-time, customizable, and visually integrated market monitoring directly within their chart analysis workflow. 📊🚀
EMA StrengthThis indicator plots a single Exponential Moving Average (EMA) line whose color changes based on a comparison with a second EMA. The user can customize both EMA lengths and choose separate price sources (like close, hlc3, etc.) for each EMA.
The line turns green when EMA 1 is greater than EMA 2, indicating bullish momentum, and red when EMA 1 is less than EMA 2, signaling potential bearishness. This dynamic coloring helps traders visually track trend strength and possible reversals.
Bronx Key LevelsThis indicator plots crucial high and low price levels from various trading sessions (Asia, London, New York) and key historical periods (Previous Day, Week, and Month) directly onto your chart.
It is designed for traders who use key liquidity levels for their analysis. The script features real-time tracking of highs and lows as they form within active sessions and can display historical levels for a configurable number of past days.
Users have extensive control over the visual presentation, including the ability to set a global style for all lines or customize each level's color, width, and line style individually. For a cleaner chart, the script includes a feature to automatically merge labels that overlap at the same price level. Additionally, it provides optional session boxes to visually highlight the duration of each trading session.
The script is also equipped with a comprehensive alert system that can notify you whenever the price touches one of the enabled key levels.
Confirmed Entry Grid Pro//@version=5
indicator("Confirmed Entry Grid Pro", overlay=true)
// === المتوسطات ===
ma9 = ta.sma(close, 9)
ma21 = ta.sma(close, 21)
ma200 = ta.sma(close, 200)
// === الاتجاه ===
trendBull = close > ma200
trendBear = close < ma200
// === الزخم ===
rsi = ta.rsi(close, 14)
rsiBull = rsi > 50
rsiBear = rsi < 50
// === الحجم ===
volMA = ta.sma(volume, 20)
volHigh = volume > volMA
// === شموع ابتلاعية ===
bullEngulf = close > open and open < close and close > open
bearEngulf = close < open and open > close and close < open
// === بولنجر باند ===
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
upper = basis + 2 * dev
lower = basis - 2 * dev
bbBreakUp = close > upper
bbBreakDown = close < lower
// === دعم / مقاومة ديناميكية ===
support = ta.lowest(low, 20)
resistance = ta.highest(high, 20)
nearSupport = math.abs(close - support) / close < 0.015
nearResistance = math.abs(close - resistance) / close < 0.015
// === تقاطع المتوسطات ===
crossUp = ta.crossover(ma9, ma21)
crossDown = ta.crossunder(ma9, ma21)
// === ATR ===
atr = ta.atr(14)
atrActive = atr > ta.sma(atr, 14)
// === SMC: BOS + CHOCH ===
bosUp = high > high and low > low
bosDown = low < low and high < high
chochUp = close > high and close < high
chochDown = close < low and close > low
smcBuy = bosUp and chochUp
smcSell = bosDown and chochDown
// === مناطق السيولة ===
liqHigh = ta.highest(high, 30)
liqLow = ta.lowest(low, 30)
liquidityBuyZone = close < liqLow
liquiditySellZone = close > liqHigh
// === حساب النقاط لكل صفقة ===
buyScore = (trendBull ? 1 : 0) + (rsiBull ? 1 : 0) + (volHigh ? 1 : 0) + (bullEngulf ? 1 : 0) + (smcBuy ? 1 : 0) + (bbBreakUp ? 1 : 0) + (nearSupport ? 1 : 0) + (crossUp ? 1 : 0) + (atrActive ? 1 : 0) + (liquidityBuyZone ? 1 : 0)
sellScore = (trendBear ? 1 : 0) + (rsiBear ? 1 : 0) + (volHigh ? 1 : 0) + (bearEngulf ? 1 : 0) + (smcSell ? 1 : 0) + (bbBreakDown ? 1 : 0) + (nearResistance ? 1 : 0) + (crossDown ? 1 : 0) + (atrActive ? 1 : 0) + (liquiditySellZone ? 1 : 0)
// === شروط الإشارات مع منع التكرار خلال آخر 5 شموع ===
var int lastBuyBar = na
var int lastSellBar = na
canBuy = buyScore >= 5 and (na(lastBuyBar) or bar_index - lastBuyBar > 5)
canSell = sellScore >= 5 and (na(lastSellBar) or bar_index - lastSellBar > 5)
if canBuy
lastBuyBar := bar_index
if canSell
lastSellBar := bar_index
showBuy = canBuy
showSell = canSell
// === طول الخطوط ===
var int lineLen = 5
// === رسم الإشارات ===
plotshape(showBuy, title="BUY", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green)
plotshape(showSell, title="SELL", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red)
// === خطوط الصفقة ===
var line buyLines = array.new_line(0)
var line sellLines = array.new_line(0)
if (showBuy)
entry = low
label.new(bar_index, entry, "Entry " + str.tostring(entry, format.mintick), style=label.style_label_left, textcolor=color.white, size=size.normal)
tpLevels = array.new_float(5)
array.set(tpLevels, 0, 0.618)
array.set(tpLevels, 1, 1.0)
array.set(tpLevels, 2, 1.272)
array.set(tpLevels, 3, 1.618)
array.set(tpLevels, 4, 2.0)
slLevel = -0.618
for i = 0 to 4
fibLabel = "TP" + str.tostring(i + 1) + " - Fib " + str.tostring(array.get(tpLevels, i))
tp = entry + array.get(tpLevels, i) * atr
line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green)
label.new(bar_index + lineLen, tp, fibLabel + " (TP" + str.tostring(i + 1) + ") " + str.tostring(tp, format.mintick), style=label.style_label_right, textcolor=color.lime, size=size.normal)
array.push(buyLines, line)
sl = entry + slLevel * atr
slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red)
label.new(bar_index + lineLen, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, textcolor=color.red, size=size.normal)
array.push(buyLines, slLine)
if (showSell)
entry = high
label.new(bar_index, entry, "Entry " + str.tostring(entry, format.mintick), style=label.style_label_left, textcolor=color.white, size=size.normal)
tpLevels = array.new_float(5)
array.set(tpLevels, 0, -0.618)
array.set(tpLevels, 1, -1.0)
array.set(tpLevels, 2, -1.272)
array.set(tpLevels, 3, -1.618)
array.set(tpLevels, 4, -2.0)
slLevel = 0.618
for i = 0 to 4
fibLabel = "TP" + str.tostring(i + 1) + " - Fib " + str.tostring(math.abs(array.get(tpLevels, i)))
tp = entry + array.get(tpLevels, i) * atr
line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green)
label.new(bar_index + lineLen, tp, fibLabel + " (TP" + str.tostring(i + 1) + ") " + str.tostring(tp, format.mintick), style=label.style_label_right, textcolor=color.green, size=size.normal)
array.push(sellLines, line)
sl = entry + slLevel * atr
slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red)
label.new(bar_index + lineLen, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, textcolor=color.red, size=size.normal)
array.push(sellLines, slLine)
// === متابعة نتائج الصفقة ===
// تحقق نجاح الصفقة (وصل أول TP)
buyHitTP = showBuy and high >= low + 0.618 * atr
sellHitTP = showSell and low <= high - 0.618 * atr
// تحقق فشل الصفقة (ضرب SL)
buyHitSL = showBuy and low <= low - 0.618 * atr
sellHitSL = showSell and high >= high + 0.618 * atr
// رسم الإشارة
plotshape(buyHitTP, title="Buy Success", style=shape.labelup, location=location.abovebar, color=color.green, size=size.small)
plotshape(sellHitTP, title="Sell Success", style=shape.labelup, location=location.abovebar, color=color.green, size=size.small)
plotshape(buyHitSL, title="Buy Failed", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small)
plotshape(sellHitSL, title="Sell Failed", style=shape.labeldown, location=location.abovebar, color=color.red, size=size.small)
Momentum Candle ProjectionThis indicator projects future price momentum by calculating a directional vector from recent price movements. It uses a custom implementation of the atan2 function to create a vector average of the last N candles and visualizes this projection as a synthetic future candle.
🔍 What It Does:
✅ Tracks recent momentum using geometric vectors from price change.
✅ Projects a synthetic "momentum candle" one bar ahead, showing anticipated direction and magnitude.
✅ Optionally plots a secondary "future candle" based on a smoothed estimate of projected price vs. real current close.
⚙️ Settings:
Vector Lookback (bars): Controls how many bars are used to calculate the momentum vector.
Projection Length Multiplier: Adjusts how far forward the vector is projected based on its strength.
🟢 How To Use:
Use the lime/red projection candle to anticipate short-term directional bias.
Use the orange/maroon future candle to compare projected continuation vs. current closing price.
Spot early reversals, continuation zones, and momentum decay in real-time.
Anomalías en Rendimientos LogarítmicosLogarithmic Returns Anomalies
This indicator detects unusual or extreme movements in the logarithmic returns of price data, helping to identify atypical market events.
It calculates the moving average and standard deviation of logarithmic returns over a configurable period, and visually highlights when the return deviates significantly from the average using thresholds based on multiples of the standard deviation.
Features:
Identifies high and low anomalies in logarithmic returns.
Clear visualization with lines for the mean and upper/lower thresholds.
Circle markers highlight anomalies in a separate pane.
Customizable parameters to adjust indicator sensitivity.
Ideal for quantitative traders and technical analysts looking to spot sharp changes or unusual behavior in financial assets.
Confirmed Entry Grid Pro//@version=5
indicator("Confirmed Entry Grid Pro", overlay=true)
// === المتوسطات ===
ma9 = ta.sma(close, 9)
ma21 = ta.sma(close, 21)
ma200 = ta.sma(close, 200)
// === الاتجاه ===
trendBull = close > ma200
trendBear = close < ma200
// === الزخم ===
rsi = ta.rsi(close, 14)
rsiBull = rsi > 50
rsiBear = rsi < 50
// === الحجم ===
volMA = ta.sma(volume, 20)
volHigh = volume > volMA
// === شموع ابتلاعية ===
bullEngulf = close > open and open < close and close > open
bearEngulf = close < open and open > close and close < open
// === بولنجر باند ===
basis = ta.sma(close, 20)
dev = ta.stdev(close, 20)
upper = basis + 2 * dev
lower = basis - 2 * dev
bbBreakUp = close > upper
bbBreakDown = close < lower
// === دعم / مقاومة ديناميكية ===
support = ta.lowest(low, 20)
resistance = ta.highest(high, 20)
nearSupport = math.abs(close - support) / close < 0.015
nearResistance = math.abs(close - resistance) / close < 0.015
// === تقاطع المتوسطات ===
crossUp = ta.crossover(ma9, ma21)
crossDown = ta.crossunder(ma9, ma21)
// === ATR ===
atr = ta.atr(14)
atrActive = atr > ta.sma(atr, 14)
// === SMC: BOS + CHOCH ===
bosUp = high > high and low > low
bosDown = low < low and high < high
chochUp = close > high and close < high
chochDown = close < low and close > low
smcBuy = bosUp and chochUp
smcSell = bosDown and chochDown
// === مناطق السيولة ===
liqHigh = ta.highest(high, 30)
liqLow = ta.lowest(low, 30)
liquidityBuyZone = close < liqLow
liquiditySellZone = close > liqHigh
// === حساب النقاط لكل صفقة ===
buyScore = (trendBull ? 1 : 0) + (rsiBull ? 1 : 0) + (volHigh ? 1 : 0) + (bullEngulf ? 1 : 0) + (smcBuy ? 1 : 0) + (bbBreakUp ? 1 : 0) + (nearSupport ? 1 : 0) + (crossUp ? 1 : 0) + (atrActive ? 1 : 0) + (liquidityBuyZone ? 1 : 0)
sellScore = (trendBear ? 1 : 0) + (rsiBear ? 1 : 0) + (volHigh ? 1 : 0) + (bearEngulf ? 1 : 0) + (smcSell ? 1 : 0) + (bbBreakDown ? 1 : 0) + (nearResistance ? 1 : 0) + (crossDown ? 1 : 0) + (atrActive ? 1 : 0) + (liquiditySellZone ? 1 : 0)
// === شروط الإشارات مع منع التكرار خلال آخر 5 شموع ===
var int lastBuyBar = na
var int lastSellBar = na
canBuy = buyScore >= 5 and (na(lastBuyBar) or bar_index - lastBuyBar > 5)
canSell = sellScore >= 5 and (na(lastSellBar) or bar_index - lastSellBar > 5)
if canBuy
lastBuyBar := bar_index
if canSell
lastSellBar := bar_index
showBuy = canBuy
showSell = canSell
// === طول الخطوط ===
var int lineLen = 5
// === رسم الإشارات ===
plotshape(showBuy, title="BUY", location=location.belowbar, style=shape.triangleup, size=size.small, color=color.green)
plotshape(showSell, title="SELL", location=location.abovebar, style=shape.triangledown, size=size.small, color=color.red)
// === خطوط الصفقة ===
var line buyLines = array.new_line(0)
var line sellLines = array.new_line(0)
if (showBuy)
entry = low
tpLevels = array.new_float(5)
array.set(tpLevels, 0, 0.618)
array.set(tpLevels, 1, 1.0)
array.set(tpLevels, 2, 1.272)
array.set(tpLevels, 3, 1.618)
array.set(tpLevels, 4, 2.0)
slLevel = -0.618
for i = 0 to 4
tp = entry + array.get(tpLevels, i) * atr
line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green)
array.push(buyLines, line)
sl = entry + slLevel * atr
slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red)
array.push(buyLines, slLine)
if (showSell)
entry = high
tpLevels = array.new_float(5)
array.set(tpLevels, 0, -0.618)
array.set(tpLevels, 1, -1.0)
array.set(tpLevels, 2, -1.272)
array.set(tpLevels, 3, -1.618)
array.set(tpLevels, 4, -2.0)
slLevel = 0.618
for i = 0 to 4
tp = entry + array.get(tpLevels, i) * atr
line = line.new(bar_index, tp, bar_index + lineLen, tp, color=color.green)
array.push(sellLines, line)
sl = entry + slLevel * atr
slLine = line.new(bar_index, sl, bar_index + lineLen, sl, color=color.red)
array.push(sellLines, slLine)
// === نسبة المخاطرة ===
label.new(bar_index, showBuy ? low : na, "Risk: 38.2%", style=label.style_label_left, textcolor=color.white, size=size.tiny, color=color.gray)
label.new(bar_index, showSell ? high : na, "Risk: 38.2%", style=label.style_label_left, textcolor=color.white, size=size.tiny, color=color.gray)
Gold vs DXYThe 30-day rolling correlation between Gold (XAU/USD) and the US Dollar Index (DXY) shows how closely the two move together — or more often, in opposite directions — over the last 30 trading days. In most market environments, the relationship is pretty straightforward: when the dollar goes up, gold tends to go down, and vice versa. That’s because gold is priced in dollars, so a stronger dollar makes it more expensive for international buyers, which usually softens demand.
But it’s not always that simple. There are times when this inverse correlation breaks down. For example, if real yields (like the US 10-year yield minus inflation expectations) are rising, that can pressure gold even if the dollar is falling — because higher real returns elsewhere make gold less attractive. Another case is when other currencies, like the euro or yen, rally strongly on their own central bank decisions. This can pull DXY lower without necessarily signaling weakness in the U.S. economy — meaning gold might not benefit much.
There are also “risk-on” moments where investors rotate into equities or crypto, selling off both gold and the dollar in favor of yield or momentum. And during periods of crisis or uncertainty, both gold and the dollar can rise together as safe-haven assets, breaking the usual pattern entirely.
That’s why tracking the rolling correlation is helpful. It shows whether the historical relationship between gold and the dollar is still holding — or if we’re entering a different market regime. It’s not about predicting exact price moves, but about understanding the current backdrop. When gold and DXY are moving out of sync as expected, it can support your trade thesis. But when the correlation flattens or flips, it’s often a sign to dig deeper — macro forces may be shifting.
Capitalizedmoney HTF Structure + Trend// === How It Works ===
// This script detects swing highs and lows on a higher timeframe (HTF),
// draws trendlines between recent swing points,
// and identifies the overall HTF trend as Bullish, Bearish, or Neutral.
// A label updates every 10 bars, showing the current HTF trend direction.
// Useful for aligning lower timeframe trades with higher timeframe structure.
LCI108 beta 1.0Lci108 Beta 1.0
A comprehensive indicator that takes data from 7 different indicators from different timeframes
The ability to set alerts for tools and for the entire Watchlist
It often gives signals before the start of a strong trend
Комплексный индикатор берущий данные от 7 разных индикаторов с разных таймфреймов
Возможность настройки алертов по инструментам и по всему Watchlist
Очень часто дает сигналы перед началом сильного тренда
Telegram
@Lsi108
PF.MSThe Pressure & Flow Momentum Strategy (PF.MS) detects market pressure buildup through advanced candlestick analysis and captures momentum flow when conditions align, providing accurate buy and sell signals across cryptocurrencies and stocks—but even sophisticated strategies can be wrong when markets turn brutal without warning. The system reads real-time pressure dynamics (buying vs selling forces, wick patterns, volatility conditions) to identify when smart money is positioning, then captures the resulting momentum flow with precise entry and exit timing. While highly accurate at detecting pressure shifts and momentum changes, the strategy can still face losses during sudden news events or when market sentiment overrides technical patterns. The PF.MS combines intelligent pressure detection with momentum capture, trailing profit protection and strict stop losses
Liquidity Sweep & Encroachment [Clean Labels]It basically tries to track when a liquidity sweep has been detected based off of volume and volatility of candles. This indicator is in beta and works well with mostly 1-2 minute chart I still have to work on higher time frames.
Cross-Correlation Lead/Lag AnalyzerCross-Correlation Lead/Lag Analyzer (XCorr)
Discover which instrument moves first with advanced cross-correlation analysis.
This indicator analyzes the lead/lag relationship between any two financial instruments using rolling cross-correlation at multiple time offsets. Perfect for pairs trading, market timing, and understanding inter-market relationships.
Key Features:
Universal compatibility - Works with any two symbols (stocks, futures, forex, crypto, commodities)
Multi-timeframe analysis - Automatically adjusts lag periods based on your chart timeframe
Real-time correlation table - Shows current correlation values for all lag scenarios
Visual lead/lag detection - Color-coded plots make it easy to spot which instrument leads
Smart "Best" indicator - Automatically identifies the strongest relationship
How to Use:
Set your symbols in the indicator settings (default: NQ1! vs RTY1!)
Adjust correlation length (default: 20 periods for smooth but responsive analysis)
Watch the colored lines:
• Red/Orange: Symbol 2 leads Symbol 1 by 1-2 periods
• Blue: Instruments move simultaneously
• Green/Purple: Symbol 1 leads Symbol 2 by 1-2 periods
Check the table for exact correlation values and the "Best" relationship
Interpreting Results:
Correlation > 0.7: Strong positive relationship
Correlation 0.3-0.7: Moderate relationship
Correlation < 0.3: Weak/no relationship
Highest line indicates the optimal timing relationship
Popular Use Cases:
Index Futures : NQ vs ES, RTY vs IWM
Sector Rotation : XLF vs XLK, QQQ vs SPY
Commodities : GC vs SI, CL vs NG
Currency Pairs : EURUSD vs GBPUSD
Crypto : BTC vs ETH correlation analysis
Technical Notes:
Cross-correlation measures linear relationships between two time series at different time lags. This implementation uses Pearson correlation with adjustable periods, calculating correlations from -2 to +2 period offsets to detect leading/lagging behavior.
Perfect for quantitative analysts, pairs traders, and anyone studying inter-market relationships.
Bull-Bear Power Scalper Version 3.0Stochastic RSI EMA Scalper. Ideal for scalping high volatility crypto futures pairs. Uses ATR or percentage based SL.
