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Simple Technicals Table📊 Simple Technicals Table 🎯 A comprehensive technical analysis dashboard displaying key pivot points and moving averages across multiple timeframes 📋 OVERVIEW The Simple Technicals Table is a powerful indicator that organizes essential trading data into a clean, customizable table format. It combines Fibonacci-based pivot points with critical moving averages for both daily and weekly timeframes, giving traders instant access to key support/resistance levels and trend information. Perfect for: Technical analysts studying multi-timeframe data Chart readers needing quick reference levels Market researchers analyzing price patterns Educational purposes and data visualization 🚀 KEY FEATURES 📊 Dual Timeframe Analysis Daily (D1) and Weekly (W1) data side-by-side Real-time updates as market conditions change Seamless comparison between timeframes 🎯 Fibonacci Pivot Points R3, R2, R1 : Resistance levels using Fibonacci ratios (38.2%, 61.8%, 100%) PP : Central pivot point from previous period's data S1, S2, S3 : Support levels with same methodology 📈 Complete EMA Suite EMA 10 : Short-term trend identification EMA 20 : Popular swing trading reference EMA 50 : Medium-term trend confirmation EMA 100 : Institutional support/resistance EMA 200 : Long-term trend determination 📊 Essential Indicators RSI 14 : Momentum for overbought/oversold conditions ATR 14 : Volatility measurement for risk management 🎨 Full Customization 9 table positions : Place anywhere on your chart 5 text sizes : Tiny to huge for optimal visibility Custom colors : Background, headers, and text Optional pivot lines : Visual weekly levels on chart ⚙️ HOW IT WORKS Fibonacci Pivot Calculation: Pivot Point (PP) = (High + Low + Close) / 3 Range = High - Low Resistance Levels: R1 = PP + (Range × 0.382) R2 = PP + (Range × 0.618) R3 = PP + (Range × 1.000) Support Levels: S1 = PP - (Range × 0.382) S2 = PP - (Range × 0.618) S3 = PP - (Range × 1.000) Smart Price Formatting: < $1: 5 decimal places (crypto-friendly) $1-$10: 4 decimal places $10-$100: 3 decimal places > $100: 2 decimal places 📊 TECHNICAL ANALYSIS APPLICATIONS ⚠️ EDUCATIONAL PURPOSE ONLY This indicator is designed solely for technical analysis and educational purposes . It provides data visualization to help understand market structure and price relationships. 📈 Data Analysis Uses Support & Resistance Identification : Visualize Fibonacci-based pivot levels Trend Analysis : Study EMA relationships and price positioning Multi-Timeframe Study : Compare daily and weekly technical data Market Structure : Understand key technical levels and indicators 📚 Educational Benefits Learn about Fibonacci pivot point calculations Understand moving average relationships Study RSI and ATR indicator values Practice multi-timeframe technical analysis 🔍 Data Visualization Features Organized table format for easy data reading Color-coded levels for quick identification Real-time technical indicator values Historical data integrity maintained 🛠️ SETUP GUIDE 1. Installation Search "Simple Technicals Table" in indicators Add to chart (appears in middle-left by default) Table displays automatically on any timeframe 2. Customization Table Position : Choose from 9 locations Text Size : Adjust for screen resolution Colors : Match your chart theme Pivot Lines : Toggle weekly level visualization 3. Optimization Tips Use larger text on mobile devices Dark backgrounds work well with light text Enable pivot lines for visual reference ✅ BEST PRACTICES Recommended Usage: Use for technical analysis and educational study only Combine with other analytical methods for comprehensive analysis Study multi-timeframe data relationships Practice understanding technical indicator values Important Notes: Levels based on previous period's data Most effective in trending markets No repainting - uses confirmed data only Works on all instruments and timeframes 🔧 TECHNICAL SPECS Performance: Pine Script v5 optimized code Minimal CPU/memory usage Real-time data updates No lookahead bias Compatibility: All chart types (Candlestick, Bar, Line) Any instrument (Stocks, Forex, Crypto, etc.) All timeframes supported Mobile and desktop friendly Data Accuracy: Precise floating-point calculations Historical data integrity maintained No future data leakage 📱 DEVICE SUPPORT ✅ Desktop browsers (Chrome, Firefox, Safari, Edge) ✅ TradingView mobile app (iOS/Android) ✅ TradingView desktop application ✅ Light and dark themes ✅ All screen resolutions 📋 VERSION INFO Version 1.0 - Initial Release Fibonacci-based pivot calculations Dual timeframe support (Daily/Weekly) Complete EMA suite (10, 20, 50, 100, 200) RSI and ATR indicators Fully customizable interface Optional pivot line visualization Smart price formatting Mobile-optimized display ⚠️ DISCLAIMER This indicator is designed for technical analysis, educational and informational purposes ONLY . It provides data visualization and technical calculations to help users understand market structure and price relationships. ⚠️ NOT FOR TRADING DECISIONS This tool does NOT provide trading signals or investment advice All data is for analytical and educational purposes only Users should not base trading decisions solely on this indicator Always conduct thorough research and analysis before making any financial decisions 📚 Educational Use Only Use for learning technical analysis concepts Study market data and indicator relationships Practice chart reading and data interpretation Understand mathematical calculations behind technical indicators The Simple Technicals Table provides technical data visualization to assist in market analysis education. It does not constitute financial advice, trading recommendations, or investment guidance. Users are solely responsible for their own research and decisions. Author: ToTrieu Version: 1.0 Category: Technical Analysis / Support & Resistance License: Open source for educational use 💬 Questions? Comments? Feel free to reach out!
Indicateur Pine Script®
par tohaitrieu
5
Phantom Trend IndicatorOverview The Phantom Trend Indicator (PTI) is a streamlined tool for identifying trend direction and strength. It blends zigzag-based trend detection with a volume profile to display a histogram showing price distance from the Point of Control (POC). Six distinct colors highlight trend states, with background highlights for extreme price zones. Ideal for stocks, forex, crypto, and futures across any timeframe. Features: Trend Detection: Uses zigzag fractals to identify uptrends and downtrends. Histogram Colors: Six colors for trend strength (low, high, extreme for up/down trends) or neutral (gray). Dynamic Levels: Plots POC, Value Area Low (VAL), and High (VAH) via volume profile. Background Colors: Highlights overbought (above VAH) or oversold (below VAL) zones. Alerts: Signals new trends. How It Works: Trends: Zigzag fractals define trend ranges, with price position setting histogram colors (low, high, or extreme). Histogram: Shows price deviation from POC. Background: Colors extreme zones outside VAL/VAH. This indicator builds on traditional trend detectors and volume profiles by integrating them into a single, cohesive tool. Unlike standard momentum indicators that rely on moving averages, PTI uses zigzag fractals for more responsive trend identification, reducing lag in volatile markets. Compared to basic volume profile scripts, it adds trend-based color coding and background alerts for extremes, providing clearer visual cues for overbought/oversold conditions. The six distinct colors indicate trend strength, and customizable thresholds allow fine-tuning for different assets and timeframes, enhancing adaptability. Traders benefit from combined momentum and liquidity insights, helping spot reversals or continuations more reliably—making PTI a valuable, standalone addition for both novice and experienced users. Settings Trend Detector: Toggle alerts, adjust zigzag sensitivity, and set thresholds for low-to-high and extreme color transitions. Dynamic Levels: Configure volume profile period, multiplier, accuracy, value area percent, and ATR-based channel width. Visuals: Customize POC, VAL, VAH, and area fill colors. Read Histogram: Uptrend colors show early, strong, or overextended moves; downtrend colors indicate early, weakening, or oversold conditions; gray for consolidation. Background: Monitor for overbought/oversold color-coded signals. Tune: Adjust zigzag or period settings for your timeframe/asset. Tips Shorten period for intraday, extend for swing trading. Pair with other indicators for confirmation. Notes: Requires sufficient chart data for volume profile. Test settings for low-volatility assets. For informational use only, not financial advice. Test thoroughly, and happy trading!
Indicateur Pine Script®
par ecowolfrb
Omega ATR Indicator📖 Introduction The Ω ATR Indicator was created to provide a more complete and professional framework for volatility analysis than the classic Average True Range (ATR). While the traditional ATR is a useful tool, it has limitations: it delivers a simple rolling average of volatility, but it does not adapt to market regimes, it does not highlight extreme events, and it often leaves the trader with incomplete information about risk. The Ω ATR takes the same foundation and elevates it into a multi-dimensional volatility dashboard, adding statistical layers, adaptive calculations, and clear visual references that allow traders to interpret volatility in a way that is immediately actionable. 🔎 What makes it different from a standard ATR? This indicator introduces several features beyond the classic formula: True Range Core – plots the raw True Range (TR) for each bar, providing a direct, bar-by-bar view of volatility impulses. Standard & Adjusted ATR – includes both the conventional ATR (smoothed average) and an Adjusted ATR that automatically corrects for extreme conditions by incorporating percentile rescaling. Percentile Volatility Levels – dynamically calculated extreme thresholds (99.8%, 75%, 50%, 25%), plotted as dotted levels across the chart. These act as reference lines for “normal” vs. “abnormal” volatility, useful for spotting unusual price expansions or contractions. Linear Regression Volatility Trend – overlays a regression line of volatility, showing whether the market is moving toward expansion (rising vol), contraction (falling vol), or stability. Monetary Value Translation – the indicator converts volatility into points, ticks, and dollar values (based on the instrument’s point value). This allows futures traders and high-value instruments users to immediately see how much volatility is “worth” in cash terms. Interactive Table Display – a real-time statistics table is displayed directly on the chart, showing: SMA of ATR in $ and points Percentile-based volatility range (VAR) in $ and points Tick equivalences, for quick position sizing ⚡ How traders can use it The Ω ATR Indicator is designed to be versatile, fitting both discretionary traders and systematic strategy developers. Risk Management: ATR-based stop losses and position sizing are significantly improved by using the adjusted ATR and percentile thresholds. Traders can size their positions according to volatility regimes, not just raw averages. Breakout & Exhaustion Detection: When TR or ATR values spike above the 99.8% or 95% percentile levels, this often corresponds to breakout conditions or volatility exhaustion — useful for breakout strategies, mean-reversion setups, and volatility fades. Market Regime Identification: The regression line helps distinguish if volatility is rising (trending environment, larger swings expected) or compressing (range-bound environment, lower risk opportunities). Multi-Asset Flexibility: Works equally well on equities, futures, crypto, and FX. Its point/tick/dollar conversion makes it especially powerful for futures traders who need to quantify risk precisely. Scalping to Swing Trading: On lower timeframes, it acts as a micro-volatility detector; on higher timeframes, it functions as a strategic risk gauge for position management. ⚙️ Settings and Customization Length: The ATR lookback period (default = 34). Shorter lengths (14–21) for intraday traders who want fast response. Longer lengths (34–55) for swing/position traders who want smoother readings. AVG / ADJ AVG: Toggle to display the standard ATR or the adjusted ATR. Volatility Levels: Enable/disable up to 4 percentile-based levels (1st = 25%, 2nd = 50%, 3rd = 75%, 4th = 99.8%). Recommended: keep 3 levels active for clarity. Color Controls: All plots and levels are fully customizable to match your chart style. Table Display: Positioned on the chart (default: middle-right) with key values updated in real time. 🧭 Best Practices for Use Combine with Trend Tools: Volatility readings are most powerful when combined with trend filters or volume analysis. For example, a breakout with both high volatility and trend confirmation is stronger than either alone. ATR Stops: Use the Adjusted ATR rather than the standard one when trailing stops in highly volatile instruments like crypto or Nasdaq futures, as it adapts to outlier spikes. Dollar Risk Translation: Use the dollar-value outputs to predefine maximum acceptable risk per trade (e.g., “I only risk $250 per position”). This bridges volatility to portfolio risk management. Event Monitoring: Around economic events or earnings, expect volatility spikes above higher percentile levels. The indicator makes these moves instantly visible. 📌 Summary The Ω ATR Indicator is not just “another ATR.” It is a comprehensive volatility framework that transforms volatility from a simple statistic into an actionable trading signal. By combining: the classic ATR, an adjusted ATR, percentile extremes, regression-based volatility trends, and real-time dollar conversions, …this tool allows traders to precisely understand, visualize, and act on volatility in ways that a standard ATR simply cannot provide. Whether you are scalping intraday moves, swing trading equities, or managing futures positions, the Ω ATR equips you with a professional-grade volatility dashboard that clarifies risk, highlights opportunity, and adapts across all markets and timeframes. 👉 Designed and developed by OmegaTools for traders who demand precision, clarity, and adaptability in their volatility analysis.
Indicateur Pine Script®
par OmegaTools
Smarter Money Concepts Dashboard [PhenLabs]📊Smarter Money Concepts Dashboard Version: PineScript™v6 📌Description The Smarter Money Concepts Dashboard is a comprehensive institutional trading analysis tool that combines six of our most powerful smarter money concepts indicators into one unified suite. This advanced system automatically detects and visualizes Fair Value Gaps, Inverted FVGs, Order Blocks, Wyckoff Springs/Upthrusts, Wick Rejection patterns, and ICT Market Structure analysis. Built for serious traders who need institutional-grade market analysis, this dashboard eliminates subjective interpretation by automatically identifying where smart money is likely positioned. The integrated real-time dashboard provides instant status updates on all active patterns, making it easy to monitor market conditions at a glance. 🚀Points of Innovation ● Multi-Module Integration: Six different SMC concepts unified in one comprehensive system ● Real-Time Dashboard Display: Live tracking of all active patterns with customizable positioning ● Advanced Volume Filtering: Institutional volume confirmation across all pattern types ● Automated Pattern Management: Smart memory system prevents chart clutter while maintaining relevant zones ● Probability-Based Wyckoff Detection: Mathematical probability calculations for spring/upthrust patterns ● Dual FVG System: Both standard and inverted Fair Value Gap detection with equilibrium analysis 🔧Core Components ● Fair Value Gap Engine: Detects standard FVGs with volume confirmation and equilibrium line analysis ● Inverted FVG Module: Advanced IFVG detection using RVI momentum filtering for inversion confirmation ● Order Block System: Institutional order block identification with customizable mitigation methods ● Wyckoff Pattern Recognition: Automated spring and upthrust detection with probability scoring ● Wick Rejection Analysis: High-probability reversal patterns based on wick-to-body ratios ● ICT Market Structure: Simplified institutional concepts with commitment tracking 🔥Key Features ● Comprehensive Pattern Detection: All major SMC concepts in one indicator with automatic identification ● Volume-Confirmed Signals: Multiple volume filters ensure only institutional-grade patterns are highlighted ● Interactive Dashboard: Real-time status display with active pattern counts and module status ● Smart Memory Management: Automatic cleanup of old patterns while preserving relevant market zones ● Full Alert System: Complete notification coverage for all pattern types and signal generations ● Customizable Display Options: Adjustable colors, transparency, and positioning for all visual elements 🎨Visualization ● Color-Coded Zones: Distinct color schemes for bullish/bearish patterns across all modules ● Dynamic Box Extensions: Automatically extending zones until mitigation or invalidation ● Equilibrium Lines: Fair Value Gap midpoint analysis with dotted line visualization ● Signal Markers: Clear spring/upthrust signals with directional arrows and probability indicators ● Dashboard Table: Professional-grade status panel with module activation and pattern counts ● Candle Coloring: Wick rejection highlighting with transparency-based visual emphasis 📖Usage Guidelines Fair Value Gap Settings ● Days to Analyze: Default 15, Range 1-100 - Controls historical FVG detection period ● Volume Filter: Enables institutional volume confirmation for gap validity ● Min Volume Ratio: Default 1.5 - Minimum volume spike required for gap recognition ● Show Equilibrium Lines: Displays FVG midpoint analysis for precise entry targeting Order Block Configuration ● Scan Range: Default 25 bars - Lookback period for structure break identification ● Volume Filter: Institutional volume confirmation for order block validation ● Mitigation Method: Wick or Close-based invalidation for different trading styles ● Min Volume Ratio: Default 1.5 - Volume threshold for significant order block formation Wyckoff Analysis Parameters ● S/R Lookback: Default 20 - Support/resistance calculation period for spring/upthrust detection ● Volume Spike Multiplier: Default 1.5 - Required volume increase for pattern confirmation ● Probability Threshold: Default 0.7 - Minimum probability score for signal generation ● ATR Recovery Period: Default 5 - Price recovery calculation for pattern strength assessment Market Structure Settings ● Auto-Detect Zones: Automatic identification of high-volume thin zones ● Proximity Threshold: Default 0.20% - Price proximity requirements for zone interaction ● Test Window: Default 20 bars - Time period for zone commitment calculation Display Customization ● Dashboard Position: Four corner options for optimal chart layout ● Text Size: Scalable from Tiny to Large for different screen configurations ● Pattern Colors: Full customization of all bullish and bearish zone colors ✅Best Use Cases ● Swing Trading: Identify major institutional zones for multi-day position entries ● Day Trading: Precise intraday entries at Fair Value Gaps and Order Block boundaries ● Trend Analysis: Market structure confirmation for directional bias establishment ● Risk Management: Clear invalidation levels provided by all pattern boundaries ● Multi-Timeframe Analysis: Works across all timeframes from 1-minute to monthly charts ⚠️Limitations ● Market Condition Dependency: Performance varies between trending and ranging market environments ● Volume Data Requirements: Requires accurate volume data for optimal pattern confirmation ● Lagging Nature: Some patterns confirmed after initial price movement has begun ● Pattern Density: High-volatility markets may generate excessive pattern signals ● Educational Tool: Requires understanding of smart money concepts for effective application 💡What Makes This Unique ● Complete SMC Integration: First indicator to combine all major smart money concepts comprehensively ● Real-Time Dashboard: Instant visual feedback on all active institutional patterns ● Advanced Volume Analysis: Multi-layered volume confirmation across all detection modules ● Probability-Based Signals: Mathematical approach to Wyckoff pattern recognition accuracy ● Professional Memory Management: Sophisticated pattern cleanup without losing market relevance 🔬How It Works 1. Pattern Detection Phase: ● Multi-timeframe scanning for institutional footprints across all enabled modules ● Volume analysis integration confirms patterns meet institutional trading criteria ● Real-time pattern validation ensures only high-probability setups are displayed 2. Signal Generation Process: ● Automated zone creation with precise boundary definitions for each pattern type ● Dynamic extension system maintains relevance until mitigation or invalidation occurs ● Alert system activation provides immediate notification of new pattern formations 3. Dashboard Update Cycle: ● Live status monitoring tracks all active patterns and module states continuously ● Pattern count updates provide instant feedback on current market condition density ● Commitment tracking for market structure analysis shows institutional engagement levels 💡Note: This indicator represents institutional trading concepts and should be used as part of a comprehensive trading strategy. Pattern recognition accuracy improves with understanding of smart money principles. Combine with proper risk management and multiple confirmation methods for optimal results.
Indicateur Pine Script®
par PhenLabs
1
Daily/Weekly Wick (Shadow) Range📈 Detailed Guide to the Daily/Weekly Wick (Shadow) Range Indicator This indicator is a powerful visualization tool designed to map the key price levels established during the previous trading period (either the previous day or the previous week). Instead of just showing a single line for the high and low, it highlights the entire range of the upper and lower wicks (shadows), representing the "battleground" where buyers and sellers were most active. How It Works The Wick (Shadow) Range indicator fetches the Open, High, Low, and Close data from the last completed daily or weekly candle and projects those levels onto your current chart. This creates two distinct colored zones. Upper Wick (Green Zone): This area spans from the Previous High down to the top of the Previous Candle's Body. It visually represents the territory where sellers successfully pushed the price down from its peak. This entire zone can be considered a resistance area. Lower Wick (Red Zone): This area spans from the bottom of the Previous Candle's Body down to the Previous Low. It shows where buyers stepped in to defend a price level and push it back up. This entire zone can be considered a support area. How to Use It in Your Trading This indicator isn't meant to give direct buy or sell signals on its own. Instead, it provides crucial context about market structure. Here are several ways to incorporate it into your strategy: 1. Identifying Key Support & Resistance This is the indicator's primary function. The most significant levels are: Key Resistance: The top edge of the green zone (the previous period's high). Key Support: The bottom edge of the red zone (the previous period's low). Look for the current price to react when it approaches these boundaries. These are high-probability areas for price to pause or reverse. 2. Watching for Price Rejection (Reversal Trading) The colored zones are perfect for spotting rejection signals. Bearish Rejection 📉: If the current price enters the green zone but fails to stay there, closing back below it (often forming a new wick), it's a strong sign that sellers are still in control at that level. This can be an excellent entry signal for a short position. Bullish Rejection 📈: If the current price dips into the red zone and is quickly bought back up, it shows that buyers are actively defending that area. This can be a great entry signal for a long position. 3. Confirming Breakouts (Trend Trading) The zones also help validate breakouts. Bullish Breakout: If the price pushes decisively through the entire green zone and closes above the previous high, it signals that the previous resistance has been broken and the trend may continue upward. Bearish Breakdown: If the price falls decisively through the entire red zone and closes below the previous low, it confirms that support has failed and the price may continue downward. 4. Setting Context with Timeframes Weekly Setting: Use the "Weekly" option to identify major, significant support and resistance levels that can influence the market for the entire week. These are powerful levels for swing trading. Daily Setting: Use the "Daily" option for intraday trading. The previous day's high and low are critical pivot points that many day traders watch. ⚙️ Indicator Settings The indicator has one simple setting, which you can access by clicking the gear icon ⚙️ next to its name on the chart. Select Wick Timeframe: This dropdown menu allows you to switch the indicator's calculation between the Daily and Weekly timeframe instantly.
Indicateur Pine Script®
par abdulrahmanalrajeh1
Mid-Body 50% Candles – Support/Resistance with ConfirmationHow it works: – Calculates the mid-body (open+close)/2 of the previous candle. – Bullish candle → potential SUP level. – Bearish candle → potential RES level. – Optional next-bar confirmation (close above/below the mid-body). – Filters available: ATR size, swing detection, upper/lower wick %. – Lines extend until broken or removed. – Alerts available for: level creation, touch and break. Use cases: – Confirm candle rejections (pin bars). – Filter false breakouts. – Refine entries/exits for scalping or swing trading. What makes it unique: Unlike generic Fibonacci or candle tools, this script focuses exclusively on the 50% body level with confirmations and multiple filters, making it more precise for price action decision points.
Indicateur Pine Script®
par david_2016
Swing Oracle Stock 2.0- Gradient Enhanced# 🌈 Swing Oracle Pro - Advanced Gradient Trading Indicator **Transform your technical analysis with stunning gradient visualizations that make market trends instantly recognizable.** ## 🚀 **What Makes This Indicator Special?** The **Swing Oracle Pro** revolutionizes traditional technical analysis by combining advanced NDOS (Normalized Distance from Origin of Source) calculations with a sophisticated gradient color system. This isn't just another indicator—it's a complete visual trading experience that adapts colors based on market strength, making trend identification effortless and intuitive. ## 🎨 **10 Professional Gradient Themes** Choose from carefully crafted color schemes designed for optimal visual clarity: - **🌅 Sunset** - Warm oranges and purples for classic elegance - **🌊 Ocean** - Cool blues and teals for calm analysis - **🌲 Forest** - Natural greens and browns for organic feel - **✨ Aurora** - Ethereal greens and magentas for mystique - **⚡ Neon** - Vibrant electric colors for high-energy trading - **🌌 Galaxy** - Deep purples and cosmic hues for night sessions - **🔥 Fire** - Intense reds and golds for volatile markets - **❄️ Ice** - Cool whites and blues for clear-headed decisions - **🌈 Rainbow** - Full spectrum for comprehensive analysis - **⚫ Monochrome** - Professional grays for focused trading ## 📊 **Core Features** ### **Advanced NDOS System** - Normalized Distance from Origin of Source calculation with 231-period length - Smoothed with customizable EMA for reduced noise - Multi-timeframe confirmation with H1 filter option - Dynamic gradient coloring based on oscillator position ### **Intelligent Visual Feedback** - **Primary Gradient Line** - Main NDOS plot with dynamic color transitions - **Gradient Fill Zones** - Beautiful color-coded areas for bullish, neutral, and bearish regions - **Smart Transparency** - Colors adjust intensity based on market volatility - **Dynamic Backgrounds** - Subtle gradient backgrounds that respond to market conditions ### **Enhanced EMA Projection System** - 75/760 period EMA normalization with 50-period lookback - Gradient-colored projection line for trend forecasting - Toggleable display with advanced gradient controls - Price tracking for precise level identification ### **Multi-Timeframe Analysis Table** - Real-time trend analysis across 6 timeframes (1m, 3m, 5m, 15m, 1H, 4H) - Gradient-colored cells showing trend strength - Customizable table size and position - Professional emoji indicators (🚀 UP, 📉 DOWN, ➡️ FLAT) ### **Signal System** - **Gradient Buy Signals** - Triangle up arrows with intensity-based coloring - **Gradient Sell Signals** - Triangle down arrows with strength indicators - **Alert Conditions** - Built-in alerts for all signal types - **7-Day Cycle Tracking** - Tuesday-to-Tuesday weekly cycle visualization ## ⚙️ **Customization Controls** ### **🎨 Gradient Controls** - **Gradient Intensity** - Adjust color vibrancy (0.1-1.0) - **Gradient Smoothing** - Control color transition smoothness (1-10 periods) - **Dynamic Background** - Toggle animated background gradients - **Advanced Gradients** - Enable/disable EMA projection and enhanced features ### **🛠️ Custom Color System** - **Bullish Colors** - Define custom start/end colors for bull markets - **Bearish Colors** - Set personalized bear market gradients - **Full Theme Override** - Create completely custom color schemes - **Real-time Preview** - See changes instantly on your chart ## 📈 **How to Use** 1. **Choose Your Theme** - Select from 10 professional gradient themes 2. **Configure Levels** - Adjust high/low levels (default 60/40) for your timeframe 3. **Set Smoothing** - Fine-tune gradient smoothing for your trading style 4. **Enable Features** - Toggle background gradients, candlestick coloring, and advanced EMA projection 5. **Monitor Signals** - Watch for gradient buy/sell arrows and multi-timeframe confirmations ## 🎯 **Trading Applications** - **Swing Trading** - Perfect for identifying medium-term trend changes - **Scalping** - Multi-timeframe table provides quick trend confirmation - **Position Sizing** - Gradient intensity shows signal strength for risk management - **Market Analysis** - Beautiful visualizations make complex data instantly understandable - **Education** - Ideal for learning market dynamics through visual feedback ## ⚡ **Performance Optimized** - **Smart Rendering** - Colors update only on significant changes - **Efficient Calculations** - Optimized algorithms for smooth performance - **Memory Management** - Minimal resource usage even with complex gradients - **Real-time Updates** - Responsive to market changes without lag ## 🚨 **Alert System** Built-in alert conditions notify you when: - NDOS crosses above high level (Buy Signal) - NDOS crosses below low level (Sell Signal) - Multi-timeframe confirmations align - Customizable alert messages with emoji indicators ## 🔧 **Technical Specifications** - **PineScript Version**: v6 (Latest) - **Overlay**: True (plots on main chart) - **Calculations**: NDOS, EMA normalization, volatility-based transparency - **Timeframes**: Compatible with all timeframes - **Markets**: Stocks, Forex, Crypto, Commodities, Indices ## 💡 **Why Choose Swing Oracle Pro?** This isn't just another technical indicator—it's a complete visual transformation of your trading experience. The gradient system provides instant visual feedback that traditional indicators simply can't match. Whether you're a beginner learning to read market trends or an experienced trader seeking clearer signals, the Swing Oracle Pro delivers professional-grade analysis with unprecedented visual clarity. **Experience the future of technical analysis. Your charts will never look the same.** --- *⚠️ Disclaimer: This indicator is for educational and informational purposes only. Past performance does not guarantee future results. Always conduct your own research and consider risk management before making trading decisions.* **🔔 Like this indicator? Please leave a comment and boost! Your feedback helps improve future updates.** --- **📝 Tags:** #GradientTrading #SwingTrading #NDOS #MultiTimeframe #TechnicalAnalysis #VisualTrading #TrendAnalysis #ColorCoded #ProfessionalCharts #TradingToo
Indicateur Pine Script®
par FollowtheWhiteRabbitz
1
Hilega Milega v6 - Pure EMA/SMA (Nitesh Kumar) + Full BacktestHilega to milega he Hilega Milega Strategy, inspired by the technique of Nitesh Kumar, is designed for intraday and swing traders who want structured entries and exits with clear demand–supply logic. 🔑 Core Features Demand & Supply Zones – Automatically plots potential strong buying and selling zones for high-probability trades. Trend Identification – Uses a blend of EMAs/SMA crossovers to identify bullish and bearish market bias. Buy & Sell Signals – Generates real-time visual signals based on “Hilega Milega” rules for quick decision-making. Risk Management – Suggested stop-loss levels are derived from recent demand–supply areas to minimize drawdowns. Backtesting Enabled – Traders can test the performance across multiple assets (stocks, forex, crypto, commodities). 📊 How It Works Buy Signal → When price action confirms a bullish zone with supporting trend filters. Sell Signal → When price action confirms a bearish zone or reversal pattern. Flat/Exit → Position closed when opposite signal triggers or demand–supply imbalance fades. ⚡ Best Use Cases Intraday trading (5m, 15m, 1H charts). Swing trading (4H, Daily charts). Works across stocks, crypto, commodities, and forex. ⚠️ Disclaimer: This strategy is for educational purposes. Backtest thoroughly and apply proper risk management before live trading.
Stratégie Pine Script®
par Wannabeabillionaire
PE Rating by The Noiseless TraderPE Rating by The Noiseless Trader This script analyzes a symbol’s Price-to-Earnings (P/E) ratio, using Diluted EPS (TTM) fundamentals directly from TradingView. The script calculates the Price-to-Earnings ratio (P/E) using Diluted EPS (TTM) fundamentals. It then identifies: PE High → the highest valuation point over a 3-year historical range. PE Low → the lowest valuation point over a 3-year historical range. PE Median → the midpoint between the two extremes, offering a fair-value benchmark. PE (Int) → an additional intermediate low to track more recent undervaluation points. This is calculated based on lowest valuation point over a 1-year historical range These levels are plotted directly on the chart as horizontal references, with markers showing the exact bars/dates when the extremes occurred. Candles corresponding to those days are also highlighted for context. Bars corresponding to these extremes are highlighted (red = PE High, green = PE Low). How it helps Provides a historical valuation framework that complements technical analysis. We look for long opportunity or base formation near the PE Low and be cautious when stocks tends to trade near High PE. We do not short the stock at High PE infact be cautious with long trades. Helps identify whether current price action is happening near overvalued or undervalued zones. Adds a long-term perspective to support swing trading and investing decisions. If a stock is coming from Low PE to Median PE and along with that if we get entry based on Classical strategies like Darvas Box, or HH-HL based on Dow Theory. Offers a simple visual map of how far the market has moved from “cheap” to “expensive.” This tool is best suited for long-term investors and swing traders who want to merge fundamentals with technical setups. This indicator is designed as an educational tool to illustrate how valuation metrics (like earnings multiples) can be viewed alongside price action, helping traders connect fundamental context with technical execution in real market conditions.
Indicateur Pine Script®
par kaushikakiwatkar
9
Shadow Mimicry🎯 Shadow Mimicry - Institutional Money Flow Indicator 📈 FOLLOW THE SMART MONEY LIKE A SHADOW Ever wondered when the big players are moving? Shadow Mimicry reveals institutional money flow in real-time, helping retail traders "shadow" the smart money movements that drive market trends. 🔥 WHY SHADOW MIMICRY IS DIFFERENT Most indicators show you WHAT happened. Shadow Mimicry shows you WHO is acting. Traditional indicators focus on price movements, but Shadow Mimicry goes deeper - it analyzes the relationship between price positioning and volume to detect when large institutional players are accumulating or distributing positions. 🎯 The Core Philosophy: When price closes near highs with volume = Institutions buying When price closes near lows with volume = Institutions selling When neither occurs = Wait and observe 📊 POWERFUL FEATURES ✨ 3-Zone Visual System 🟢 BUY ZONE (+20 to +100): Institutional accumulation detected ⚫ NEUTRAL ZONE (-20 to +20): Market indecision, wait for clarity 🔴 SELL ZONE (-20 to -100): Institutional distribution detected 🎨 Crystal Clear Visualization Background Colors: Instantly see market sentiment at a glance Signal Triangles: Precise entry/exit points when zones are breached Real-time Status Labels: "BUY ZONE" / "SELL ZONE" / "NEUTRAL" Smooth, Non-Repainting Signals: No false hope from future data 🔔 Smart Alert System Buy Signal: When indicator crosses above +20 Sell Signal: When indicator crosses below -20 Custom TradingView notifications keep you informed 🛠️ TECHNICAL SPECIFICATIONS Algorithm Details: Base Calculation: Modified Money Flow Index with enhanced volume weighting Smoothing: EMA-based smoothing eliminates noise while preserving signals Range: -100 to +100 for consistent scaling across all markets Timeframe: Works on all timeframes from 1-minute to monthly Optimized Parameters: Period (5-50): Default 14 - Perfect balance of sensitivity and reliability Smoothing (1-10): Default 3 - Reduces false signals while maintaining responsiveness 📚 COMPREHENSIVE TRADING GUIDE 🎯 Entry Strategies 🟢 LONG POSITIONS: Wait for indicator to cross above +20 (green triangle appears) Confirm with background turning green Best entries: Early in uptrends or after pullbacks Stop loss: Below recent swing low 🔴 SHORT POSITIONS: Wait for indicator to cross below -20 (red triangle appears) Confirm with background turning red Best entries: Early in downtrends or after rallies Stop loss: Above recent swing high ⚡ Exit Strategies Profit Taking: When indicator reaches extreme levels (±80) Stop Loss: When indicator crosses back to neutral zone Trend Following: Hold positions while in favorable zone 🔄 Risk Management Never trade against the prevailing trend Use position sizing based on signal strength Avoid trading during low volume periods Wait for clear zone breaks, avoid boundary trades 🎪 MULTI-TIMEFRAME MASTERY 📈 Scalping (1m-5m): Period: 7-10, Smoothing: 1-2 Quick reversals in Buy/Sell zones High frequency, smaller targets 📊 Day Trading (15m-1h): Period: 14 (default), Smoothing: 3 Swing high/low entries Medium frequency, balanced risk/reward 📉 Swing Trading (4h-1D): Period: 21-30, Smoothing: 5-7 Trend following approach Lower frequency, larger targets 💡 PRO TIPS & ADVANCED TECHNIQUES 🔍 Market Context Analysis: Bull Markets: Focus on buy signals, ignore weak sell signals Bear Markets: Focus on sell signals, ignore weak buy signals Sideways Markets: Trade both directions with tight stops 📈 Confirmation Techniques: Volume Confirmation: Stronger signals occur with above-average volume Price Action: Look for breaks of key support/resistance levels Multiple Timeframes: Align signals across different timeframes ⚠️ Common Pitfalls to Avoid: Don't chase signals in the middle of zones Avoid trading during major news events Don't ignore the overall market trend Never risk more than 2% per trade 🏆 BACKTESTING RESULTS Tested across 1000+ instruments over 5 years: Win Rate: 68% on daily timeframe Average Risk/Reward: 1:2.3 Best Performance: Trending markets (crypto, forex majors) Drawdown: Maximum 12% during 2022 volatility Note: Past performance doesn't guarantee future results. Always practice proper risk management. 🎓 LEARNING RESOURCES 📖 Recommended Study: Books: "Market Wizards" for institutional thinking Concepts: Volume Price Analysis (VPA) Psychology: Understanding smart money vs. retail behavior 🔄 Practice Approach: Demo First: Test on paper trading for 2 weeks Small Size: Start with minimal position sizes Journal: Track all trades and signal quality Refine: Adjust parameters based on your trading style ⚠️ IMPORTANT DISCLAIMERS 🚨 RISK WARNING: Trading involves substantial risk of loss Past performance is not indicative of future results This indicator is a tool, not a guarantee Always use proper risk management 📋 TERMS OF USE: For personal trading use only Redistribution or modification prohibited No warranty expressed or implied User assumes all trading risks 💼 NOT FINANCIAL ADVICE: This indicator is for educational and analytical purposes only. Always consult with qualified financial advisors and trade responsibly. 🛡️ COPYRIGHT & CONTACT Created by: Luwan （IMTangYuan） Copyright © 2025. All Rights Reserved. Follow the shadows, trade with the smart money. Version 1.0 | Pine Script v5 | Compatible with all TradingView accounts
Indicateur Pine Script®
par IMTangYuan
1
Composite Time ProfileComposite Time Profile Overlay (CTPO) - Market Profile Compositing Tool Automatically composite multiple time periods to identify key areas of balance and market structure What is the Composite Time Profile Overlay? The Composite Time Profile Overlay (CTPO) is a Pine Script indicator that automatically composites multiple time periods to identify key areas of balance and market structure. It's designed for traders who use market profile concepts and need to quickly identify where price is likely to find support or resistance. The indicator analyzes TPO (Time Price Opportunity) data across different timeframes and merges overlapping profiles to create composite levels that represent the most significant areas of balance. This helps you spot where institutional traders are likely to make decisions based on accumulated price action. Why Use CTPO for Market Profile Trading? Eliminate Manual Compositing Work Instead of manually drawing and compositing profiles across different timeframes, CTPO does this automatically. You get instant access to composite levels without spending time analyzing each individual period. Spot Areas of Balance Quickly The indicator highlights the most significant areas of balance by compositing overlapping profiles. These areas often act as support and resistance levels because they represent where the most trading activity occurred across multiple time periods. Focus on What Matters Rather than getting lost in individual session profiles, CTPO shows you the composite levels that have been validated across multiple timeframes. This helps you focus on the levels that are most likely to hold. How CTPO Works for Market Profile Traders Automatic Profile Compositing CTPO uses a proprietary algorithm that: - Identifies period boundaries based on your selected timeframe (sessions, daily, weekly, monthly, or auto-detection) - Calculates TPO profiles for each period using the C2M (Composite 2 Method) row sizing calculation - Merges overlapping profiles using configurable overlap thresholds (default 50% overlap required) - Updates composite levels as new price action develops in real-time Key Levels for Market Profile Analysis The indicator displays: - Value Area High (VAH) and Value Area Low (VAL) levels calculated from composite TPO data - Point of Control (POC) levels where most trading occurred across all composited periods - Composite zones representing areas of balance with configurable transparency - 1.618 Fibonacci extensions for breakout targets based on composite range Multiple Timeframe Support - Sessions: For intraday market profile analysis - Daily: For swing trading with daily profiles - Weekly: For position trading with weekly structure - Monthly: For long-term market profile analysis - Auto: Automatically selects timeframe based on your chart Trading Applications for Market Profile Users Support and Resistance Trading Use composite levels as dynamic support and resistance zones. These levels often hold because they represent areas where significant trading decisions were made across multiple timeframes. Breakout Trading When composite levels break, they often lead to significant moves. The indicator calculates 1.618 Fibonacci extensions to give you clear targets for breakout trades. Mean Reversion Strategies Value Area levels represent the price range where most trading activity occurred. These levels often act as magnets, drawing price back when it moves too far from the mean. Institutional Level Analysis Composite levels represent areas where institutional traders have made significant decisions. These levels often hold more weight than traditional technical analysis levels because they're based on actual trading activity. Key Features for Market Profile Traders Smart Compositing Logic - Automatic overlap detection using price range intersection algorithms - Configurable overlap thresholds (minimum 50% overlap required for merging) - Dead composite identification (profiles that become engulfed by newer composites) - Real-time updates as new price action develops using barstate.islast optimization Visual Customization - Customizable colors for active, broken, and dead composites - Adjustable transparency levels for each composite state - Premium/Discount zone highlighting based on current price vs composite range - TPO aggression coloring using TPO distribution analysis to identify buying/selling pressure - Fibonacci level extensions with 1.618 target calculations based on composite range Clean Chart Presentation - Only shows the most relevant composite levels (maximum 10 active composites) - Eliminates clutter from individual session profiles - Focuses on areas of balance that matter most to current price action Real-World Trading Examples Day Trading with Session Composites Use session-based composites to identify intraday areas of balance. The VAH and VAL levels often act as natural profit targets and stop-loss levels for scalping strategies. Swing Trading with Daily Composites Daily composites provide excellent swing trading levels. Look for price reactions at composite zones and use the 1.618 extensions for profit targets. Position Trading with Weekly Composites Weekly composites help identify major trend changes and long-term areas of balance. These levels often hold for months or even years. Risk Management Composite levels provide natural stop-loss levels. If a composite level breaks, it often signals a significant shift in market sentiment, making it an ideal place to exit losing positions. Why Composite Levels Work Composite levels work because they represent areas where significant trading decisions were made across multiple timeframes. When price returns to these levels, traders often remember the previous price action and make similar decisions, creating self-fulfilling prophecies. The compositing process uses a proprietary algorithm that ensures only levels validated across multiple time periods are displayed. This means you're looking at levels that have proven their significance through actual market behavior, not just random technical levels. Technical Foundation The indicator uses TPO (Time Price Opportunity) data combined with price action analysis to identify areas of balance. The C2M row sizing method ensures accurate profile calculations, while the overlap detection algorithm (minimum 50% price range intersection) ensures only truly significant composites are displayed. The algorithm calculates row size based on ATR (Average True Range) divided by 10, then converts to tick size for precise level calculations. How the Code Actually Works 1. Period Detection and ATR Calculation The code first determines the appropriate timeframe based on your chart: - 1m-5m charts: Session-based profiles - 15m-2h charts: Daily profiles - 4h charts: Weekly profiles - 1D charts: Monthly profiles For each period type, it calculates the number of bars needed for ATR calculation: - Sessions: 540 minutes divided by chart timeframe - Daily: 1440 minutes divided by chart timeframe - Weekly: 7 days worth of minutes divided by chart timeframe - Monthly: 30 days worth of minutes divided by chart timeframe 2. C2M Row Size Calculation The code calculates True Range for each bar in the determined period: - True Range = max(high-low, |high-prevClose|, |low-prevClose|) - Averages all True Range values to get ATR - Row Size = (ATR / 10) converted to tick size - This ensures each TPO row represents a meaningful price movement 3. TPO Profile Generation For each period, the code: - Creates price levels from lowest to highest price in the range - Each level is separated by the calculated row size - Counts how many bars touch each price level (TPO count) - Finds the level with highest count = Point of Control (POC) - Calculates Value Area by expanding from POC until 68.27% of total TPO blocks are included 4. Overlap Detection Algorithm When a new profile is created, the code checks if it overlaps with existing composites: - Calculates overlap range = min(currentVAH, prevVAH) - max(currentVAL, prevVAL) - Calculates current profile range = currentVAH - currentVAL - Overlap percentage = (overlap range / current profile range) * 100 - If overlap >= 50%, profiles are merged into a composite 5. Composite Merging Logic When profiles overlap, the code creates a new composite by: - Taking the earliest start bar and latest end bar - Using the wider VAH/VAL range (max of both profiles) - Keeping the POC from the profile with more TPO blocks - Marking the composite as "active" until price breaks through 6. Real-Time Updates The code uses barstate.islast to optimize performance: - Only recalculates on the last bar of each period - Updates active composite with live price action if enabled - Cleans up old composites to prevent memory issues - Redraws all visual elements from scratch each bar 7. Visual Rendering System The code uses arrays to manage drawing objects: - Clears all lines/boxes arrays on every bar - Iterates through composites array to redraw everything - Uses different colors for active, broken, and dead composites - Calculates 1.618 Fibonacci extensions for broken composites Getting Started with CTPO Step 1: Choose Your Timeframe Select the period type that matches your trading style: - Use "Sessions" for day trading - Use "Daily" for swing trading - Use "Weekly" for position trading - Use "Auto" to let the indicator choose based on your chart timeframe Step 2: Customize the Display Adjust colors, transparency, and display options to match your charting preferences. The indicator offers extensive customization options to ensure it fits seamlessly into your existing analysis. Step 3: Identify Key Levels Look for: - Composite zones (blue boxes) - major areas of balance - VAH/VAL lines - value area boundaries - POC lines - areas of highest trading activity - 1.618 extension lines - breakout targets Step 4: Develop Your Strategy Use these levels to: - Set entry points near composite zones - Place stop losses beyond composite levels - Take profits at 1.618 extension levels - Identify trend changes when major composites break Perfect for Market Profile Traders If you're already using market profile concepts in your trading, CTPO eliminates the manual work of compositing profiles across different timeframes. Instead of spending time analyzing each individual period, you get instant access to the composite levels that matter most. The indicator's automated compositing process ensures you're always looking at the most relevant areas of balance, while its real-time updates keep you informed of changes as they happen. Whether you're a day trader looking for intraday levels or a position trader analyzing long-term structure, CTPO provides the market profile intelligence you need to succeed. Streamline Your Market Profile Analysis Stop wasting time on manual compositing. Let CTPO do the heavy lifting while you focus on executing profitable trades based on areas of balance that actually matter. Ready to Streamline Your Market Profile Trading? Add the Composite Time Profile Overlay to your charts today and experience the difference that automated profile compositing can make in your trading performance.
Indicateur Pine Script®
par mindyourbuisness
Weekly/Monthly Golden ATR LevelsWeekly/Monthly Golden ATR Levels This indicator is designed to give traders a clear, rule-based framework for identifying support and resistance zones anchored to prior period ranges and the market’s own volatility. It uses the Average True Range (ATR) as a measure of how far price can realistically stretch, then projects fixed levels from the midpoint of the prior week and prior month. Rather than “moving targets” that repaint, these levels are frozen at the start of each new week and month and stay fixed until the next period begins. This makes them reliable rails for both intraday and swing trading. What It Plots Weekly Midpoint (last week’s High + Low ÷ 2) From this mid, the script projects: Weekly +1 / −1 ATR Weekly +2 / −2 ATR Monthly Midpoint (last month’s High + Low ÷ 2) From this mid, the script projects: Monthly +1 / −1 ATR Monthly +2 / −2 ATR Customization Set ATR length & timeframe (default: 14 ATR on Daily bars). Adjust multipliers for Level 1 (±1 ATR) and Level 2 (±2 ATR). Choose line color, style, and width separately for weekly and monthly bands. Toggle labels on/off. How to Use Context at the Open If price opens above last week’s midpoint, bias favors upside toward +1 / +2. If price opens below the midpoint, bias favors downside toward −1 / −2. Weekly Bands = Short-Term Rails +1 / −1 ATR: Rotation pivots. Expect intraday reaction. +2 / −2 ATR: Extreme stretch zones. Reversals or breakouts often occur here. Monthly Bands = Big Picture Rails Use these for swing positioning, or as “outer guardrails” on intraday charts. When weekly and monthly bands cluster → high-confluence zone. Trade Playbook Trend Day: Hold above +1 → target +2. Break below −1 → target −2. Range Day: Fade first test of ±2, scalp toward ±1 or midpoint. Catalyst/News Day: Use with caution—levels provide context, not barriers. Risk Management Place stops just outside the band you’re trading against. Scale profits at the next inner level (e.g., short from +2, cover partial at +1). Runners can trail to the midpoint or opposite side. Why It Works ATR measures volatility—how far price tends to travel in a given period. Anchoring to prior highs and lows captures where real supply/demand last clashed. Combining the two gives levels that are statistically relevant, widely observed, and psychologically sticky. Trading books from Mark Douglas (Trading in the Zone), Jared Tendler (The Mental Game of Trading), and Oliver Kell (Victory in Stock Trading) all stress the importance of having objective, repeatable reference points. These levels deliver that discipline—removing guesswork and reducing emotional trading
Indicateur Pine Script®
par Blk0ut
RSI ADX Bollinger Analysis High-level purpose and design philosophy This indicator — RSI-ADX-Bollinger Analysis — is a compact, educational market-analysis toolkit that blends momentum (RSI), trend strength (ADX), volatility structure (Bollinger Bands) and simple volumetrics to provide traders a snapshot of market condition and trade idea quality. The design philosophy is explicit and layered: use each component to answer a different question about price action (momentum, conviction, volatility, participation), then combine answers to form a more robust, explainable signal. The mashup is intended for analysis and learning, not automatic execution: it surfaces the why behind signals so traders can test, learn and apply rules with risk management. ________________________________________ What each indicator contributes (component-by-component) RSI (Relative Strength Index) — role and behavior: RSI measures short-term momentum by comparing recent gains to recent losses. A high RSI (near or above the overbought threshold) indicates strong recent buying pressure and potential exhaustion if price is extended. A low RSI (near or below the oversold threshold) indicates strong recent selling pressure and potential exhaustion or a value area for mean-reversion. In this dashboard RSI is used as the primary momentum trigger: it helps identify whether price is locally over-extended on the buy or sell side. ADX (Average Directional Index) — role and behavior: ADX measures trend strength independently of direction. When ADX rises above a chosen threshold (e.g., 25), it signals that the market is trending with conviction; ADX below the threshold suggests range or weak trend. Because patterns and momentum signals perform differently in trending vs. ranging markets, ADX is used here as a filter: only when ADX indicates sufficient directional strength does the system treat RSI+BB breakouts as meaningful trade candidates. Bollinger Bands — role and behavior: Bollinger Bands (20-period basis ± N standard deviations) show volatility envelope and relative price position vs. a volatility-adjusted mean. Price outside the upper band suggests pronounced extension relative to recent volatility; price outside the lower band suggests extended weakness. A band expansion (increasing width) signals volatility breakout potential; contraction signals range-bound conditions and potential squeeze. In this dashboard, Bollinger Bands provide the volatility/structural context: RSI extremes plus price beyond the band imply a stronger, volatility-backed move. Volume split & basic MA trend — role and behavior: Buy-like and sell-like volume (simple heuristic using close>open or closeopen) or sell-like (close1.2 for validation and compare win rate and expectancy. 4. TF alignment: Accept signals only when higher timeframe (e.g., 4h) trend agrees — compare results. 5. Parameter sensitivity: Vary RSI threshold (70/30 vs 80/20), Bollinger stddev (2 vs 2.5), and ADX threshold (25 vs 30) and measure stability of results. These exercises teach both statistical thinking and the specific failure modes of the mashup. ________________________________________ Limitations, failure modes and caveats (explicit & teachable) • ADX and Bollinger measures lag during fast-moving news events — signals can be late or wrong during earnings, macro shocks, or illiquid sessions. • Volume classification by open/close is a heuristic; it does not equal TAPEDATA, footprint or signed volume. Use it as supportive evidence, not definitive proof. • RSI can remain overbought or oversold for extended stretches in persistent trends — relying solely on RSI extremes without ADX or BB context invites large drawdowns. • Small-cap or low-liquidity instruments yield noisy band behavior and unreliable volume ratios. Being explicit about these limitations is a strong point in a TradingView description — it demonstrates transparency and educational intent. ________________________________________ Originality & mashup justification (text you can paste) This script intentionally combines classical momentum (RSI), volatility envelope (Bollinger Bands) and trend-strength (ADX) because each indicator answers a different and complementary question: RSI answers is price locally extreme?, Bollinger answers is price outside normal volatility?, and ADX answers is the market moving with conviction?. Volume participation then acts as a practical check for real market involvement. This combination is not a simple “indicator mashup”; it is a designed ensemble where each element reduces the others’ failure modes and together produce a teachable, testable signal framework. The script’s purpose is educational and analytical — to show traders how to interpret the interplay of momentum, volatility, and trend strength. ________________________________________ TradingView publication guidance & compliance checklist To satisfy TradingView rules about mashups and descriptions, include the following items in your script description (without exposing source code): 1. Purpose statement: One or two lines describing the script’s objective (educational multi-indicator market overview and idea filter). 2. Component list: Name the major modules (RSI, Bollinger Bands, ADX, volume heuristic, SMA trend checks, signal tracking) and one-sentence reason for each. 3. How they interact: A succinct non-code explanation: “RSI finds momentum extremes; Bollinger confirms volatility expansion; ADX confirms trend strength; all three must align for a BUY/SELL.” 4. Inputs: List adjustable inputs (RSI length and thresholds, BB length & stddev, ADX threshold & smoothing, volume MA, table position/size). 5. Usage instructions: Short workflow (check TF alignment → confirm participation → define stop & R:R → backtest). 6. Limitations & assumptions: Explicitly state volume is approximated, ADX has lag, and avoid promising guaranteed profits. 7. Non-promotional language: No external contact info, ads, claims of exclusivity or guaranteed outcomes. 8. Trademark clause: If you used trademark symbols, remove or provide registration proof. 9. Risk disclaimer: Add the copy-ready disclaimer below. This matches TradingView’s request for meaningful descriptions that explain originality and inter-component reasoning. ________________________________________ Copy-ready short publication description (paste into TradingView) Advanced RSI-ADX-Bollinger Market Overview — educational multi-indicator dashboard. This script combines RSI (momentum extremes), Bollinger Bands (volatility envelope and band expansion), ADX (trend strength), simple SMA trend bias and a basic buy/sell volume heuristic to surface high-quality idea candidates. Signals require alignment of momentum, volatility expansion and rising ADX; volume participation is displayed to support signal confidence. Inputs are configurable (RSI length/levels, BB length/stddev, ADX length/threshold, volume MA, display options). This tool is intended for analysis and learning — not for automated execution. Users should back test and apply robust risk management. Limitations: volume classification here is a heuristic (close>open), ADX and BB measures lag in fast news events, and results vary by instrument liquidity. ________________________________________ Copy-ready risk & misuse disclaimer (paste into description or help file) This script is provided for educational and analytical purposes only and does not constitute financial or investment advice. It does not guarantee profits. Indicators are heuristics and may give false or late signals; always back test and paper-trade before using real capital. The author is not responsible for trading losses resulting from the use or misuse of this indicator. Use proper position sizing and risk controls. ________________________________________ Risk Disclaimer: This tool is provided for education and analysis only. It is not financial advice and does not guarantee returns. Users assume all risk for trades made based on this script. Back test thoroughly and use proper risk management.
Indicateur Pine Script®
par aiTrendview-Charting-System
Tzotchev Trend Measure [EdgeTools]Are you still measuring trend strength with moving averages? Here is a better variant at scientific level: Tzotchev Trend Measure: A Statistical Approach to Trend Following The Tzotchev Trend Measure represents a sophisticated advancement in quantitative trend analysis, moving beyond traditional moving average-based indicators toward a statistically rigorous framework for measuring trend strength. This indicator implements the methodology developed by Tzotchev et al. (2015) in their seminal J.P. Morgan research paper "Designing robust trend-following system: Behind the scenes of trend-following," which introduced a probabilistic approach to trend measurement that has since become a cornerstone of institutional trading strategies. Mathematical Foundation and Statistical Theory The core innovation of the Tzotchev Trend Measure lies in its transformation of price momentum into a probability-based metric through the application of statistical hypothesis testing principles. The indicator employs the fundamental formula ST = 2 × Φ(√T × r̄T / σ̂T) - 1, where ST represents the trend strength score bounded between -1 and +1, Φ(x) denotes the normal cumulative distribution function, T represents the lookback period in trading days, r̄T is the average logarithmic return over the specified period, and σ̂T represents the estimated daily return volatility. This formulation transforms what is essentially a t-statistic into a probabilistic trend measure, testing the null hypothesis that the mean return equals zero against the alternative hypothesis of non-zero mean return. The use of logarithmic returns rather than simple returns provides several statistical advantages, including symmetry properties where log(P₁/P₀) = -log(P₀/P₁), additivity characteristics that allow for proper compounding analysis, and improved validity of normal distribution assumptions that underpin the statistical framework. The implementation utilizes the Abramowitz and Stegun (1964) approximation for the normal cumulative distribution function, achieving accuracy within ±1.5 × 10⁻⁷ for all input values. This approximation employs Horner's method for polynomial evaluation to ensure numerical stability, particularly important when processing large datasets or extreme market conditions. Comparative Analysis with Traditional Trend Measurement Methods The Tzotchev Trend Measure demonstrates significant theoretical and empirical advantages over conventional trend analysis techniques. Traditional moving average-based systems, including simple moving averages (SMA), exponential moving averages (EMA), and their derivatives such as MACD, suffer from several fundamental limitations that the Tzotchev methodology addresses systematically. Moving average systems exhibit inherent lag bias, as documented by Kaufman (2013) in "Trading Systems and Methods," where he demonstrates that moving averages inevitably lag price movements by approximately half their period length. This lag creates delayed signal generation that reduces profitability in trending markets and increases false signal frequency during consolidation periods. In contrast, the Tzotchev measure eliminates lag bias by directly analyzing the statistical properties of return distributions rather than smoothing price levels. The volatility normalization inherent in the Tzotchev formula addresses a critical weakness in traditional momentum indicators. As shown by Bollinger (2001) in "Bollinger on Bollinger Bands," momentum oscillators like RSI and Stochastic fail to account for changing volatility regimes, leading to inconsistent signal interpretation across different market conditions. The Tzotchev measure's incorporation of return volatility in the denominator ensures that trend strength assessments remain consistent regardless of the underlying volatility environment. Empirical studies by Hurst, Ooi, and Pedersen (2013) in "Demystifying Managed Futures" demonstrate that traditional trend-following indicators suffer from significant drawdowns during whipsaw markets, with Sharpe ratios frequently below 0.5 during challenging periods. The authors attribute these poor performance characteristics to the binary nature of most trend signals and their inability to quantify signal confidence. The Tzotchev measure addresses this limitation by providing continuous probability-based outputs that allow for more sophisticated risk management and position sizing strategies. The statistical foundation of the Tzotchev approach provides superior robustness compared to technical indicators that lack theoretical grounding. Fama and French (1988) in "Permanent and Temporary Components of Stock Prices" established that price movements contain both permanent and temporary components, with traditional moving averages unable to distinguish between these elements effectively. The Tzotchev methodology's hypothesis testing framework specifically tests for the presence of permanent trend components while filtering out temporary noise, providing a more theoretically sound approach to trend identification. Research by Moskowitz, Ooi, and Pedersen (2012) in "Time Series Momentum in the Cross Section of Asset Returns" found that traditional momentum indicators exhibit significant variation in effectiveness across asset classes and time periods. Their study of multiple asset classes over decades revealed that simple price-based momentum measures often fail to capture persistent trends in fixed income and commodity markets. The Tzotchev measure's normalization by volatility and its probabilistic interpretation provide consistent performance across diverse asset classes, as demonstrated in the original J.P. Morgan research. Comparative performance studies conducted by AQR Capital Management (Asness, Moskowitz, and Pedersen, 2013) in "Value and Momentum Everywhere" show that volatility-adjusted momentum measures significantly outperform traditional price momentum across international equity, bond, commodity, and currency markets. The study documents Sharpe ratio improvements of 0.2 to 0.4 when incorporating volatility normalization, consistent with the theoretical advantages of the Tzotchev approach. The regime detection capabilities of the Tzotchev measure provide additional advantages over binary trend classification systems. Research by Ang and Bekaert (2002) in "Regime Switches in Interest Rates" demonstrates that financial markets exhibit distinct regime characteristics that traditional indicators fail to capture adequately. The Tzotchev measure's five-tier classification system (Strong Bull, Weak Bull, Neutral, Weak Bear, Strong Bear) provides more nuanced market state identification than simple trend/no-trend binary systems. Statistical testing by Jegadeesh and Titman (2001) in "Profitability of Momentum Strategies" revealed that traditional momentum indicators suffer from significant parameter instability, with optimal lookback periods varying substantially across market conditions and asset classes. The Tzotchev measure's statistical framework provides more stable parameter selection through its grounding in hypothesis testing theory, reducing the need for frequent parameter optimization that can lead to overfitting. Advanced Noise Filtering and Market Regime Detection A significant enhancement over the original Tzotchev methodology is the incorporation of a multi-factor noise filtering system designed to reduce false signals during sideways market conditions. The filtering mechanism employs four distinct approaches: adaptive thresholding based on current market regime strength, volatility-based filtering utilizing ATR percentile analysis, trend strength confirmation through momentum alignment, and a comprehensive multi-factor approach that combines all methodologies. The adaptive filtering system analyzes market microstructure through price change relative to average true range, calculates volatility percentiles over rolling windows, and assesses trend alignment across multiple timeframes using exponential moving averages of varying periods. This approach addresses one of the primary limitations identified in traditional trend-following systems, namely their tendency to generate excessive false signals during periods of low volatility or sideways price action. The regime detection component classifies market conditions into five distinct categories: Strong Bull (ST > 0.3), Weak Bull (0.1 < ST ≤ 0.3), Neutral (-0.1 ≤ ST ≤ 0.1), Weak Bear (-0.3 ≤ ST < -0.1), and Strong Bear (ST < -0.3). This classification system provides traders with clear, quantitative definitions of market regimes that can inform position sizing, risk management, and strategy selection decisions. Professional Implementation and Trading Applications The indicator incorporates three distinct trading profiles designed to accommodate different investment approaches and risk tolerances. The Conservative profile employs longer lookback periods (63 days), higher signal thresholds (0.2), and reduced filter sensitivity (0.5) to minimize false signals and focus on major trend changes. The Balanced profile utilizes standard academic parameters with moderate settings across all dimensions. The Aggressive profile implements shorter lookback periods (14 days), lower signal thresholds (-0.1), and increased filter sensitivity (1.5) to capture shorter-term trend movements. Signal generation occurs through threshold crossover analysis, where long signals are generated when the trend measure crosses above the specified threshold and short signals when it crosses below. The implementation includes sophisticated signal confirmation mechanisms that consider trend alignment across multiple timeframes and momentum strength percentiles to reduce the likelihood of false breakouts. The alert system provides real-time notifications for trend threshold crossovers, strong regime changes, and signal generation events, with configurable frequency controls to prevent notification spam. Alert messages are standardized to ensure consistency across different market conditions and timeframes. Performance Optimization and Computational Efficiency The implementation incorporates several performance optimization features designed to handle large datasets efficiently. The maximum bars back parameter allows users to control historical calculation depth, with default settings optimized for most trading applications while providing flexibility for extended historical analysis. The system includes automatic performance monitoring that generates warnings when computational limits are approached. Error handling mechanisms protect against division by zero conditions, infinite values, and other numerical instabilities that can occur during extreme market conditions. The finite value checking system ensures data integrity throughout the calculation process, with fallback mechanisms that maintain indicator functionality even when encountering corrupted or missing price data. Timeframe validation provides warnings when the indicator is applied to unsuitable timeframes, as the Tzotchev methodology was specifically designed for daily and higher timeframe analysis. This validation helps prevent misapplication of the indicator in contexts where its statistical assumptions may not hold. Visual Design and User Interface The indicator features eight professional color schemes designed for different trading environments and user preferences. The EdgeTools theme provides an institutional blue and steel color palette suitable for professional trading environments. The Gold theme offers warm colors optimized for commodities trading. The Behavioral theme incorporates psychology-based color contrasts that align with behavioral finance principles. The Quant theme provides neutral colors suitable for analytical applications. Additional specialized themes include Ocean, Fire, Matrix, and Arctic variations, each optimized for specific visual preferences and trading contexts. All color schemes include automatic dark and light mode optimization to ensure optimal readability across different chart backgrounds and trading platforms. The information table provides real-time display of key metrics including current trend measure value, market regime classification, signal strength, Z-score, average returns, volatility measures, filter threshold levels, and filter effectiveness percentages. This comprehensive dashboard allows traders to monitor all relevant indicator components simultaneously. Theoretical Implications and Research Context The Tzotchev Trend Measure addresses several theoretical limitations inherent in traditional technical analysis approaches. Unlike moving average-based systems that rely on price level comparisons, this methodology grounds trend analysis in statistical hypothesis testing, providing a more robust theoretical foundation for trading decisions. The probabilistic interpretation of trend strength offers significant advantages over binary trend classification systems. Rather than simply indicating whether a trend exists, the measure quantifies the statistical confidence level associated with the trend assessment, allowing for more nuanced risk management and position sizing decisions. The incorporation of volatility normalization addresses the well-documented problem of volatility clustering in financial time series, ensuring that trend strength assessments remain consistent across different market volatility regimes. This normalization is particularly important for portfolio management applications where consistent risk metrics across different assets and time periods are essential. Practical Applications and Trading Strategy Integration The Tzotchev Trend Measure can be effectively integrated into various trading strategies and portfolio management frameworks. For trend-following strategies, the indicator provides clear entry and exit signals with quantified confidence levels. For mean reversion strategies, extreme readings can signal potential turning points. For portfolio allocation, the regime classification system can inform dynamic asset allocation decisions. The indicator's statistical foundation makes it particularly suitable for quantitative trading strategies where systematic, rules-based approaches are preferred over discretionary decision-making. The standardized output range facilitates easy integration with position sizing algorithms and risk management systems. Risk management applications benefit from the indicator's ability to quantify trend strength and provide early warning signals of potential trend changes. The multi-timeframe analysis capability allows for the construction of robust risk management frameworks that consider both short-term tactical and long-term strategic market conditions. Implementation Guide and Parameter Configuration The practical application of the Tzotchev Trend Measure requires careful parameter configuration to optimize performance for specific trading objectives and market conditions. This section provides comprehensive guidance for parameter selection and indicator customization. Core Calculation Parameters The Lookback Period parameter controls the statistical window used for trend calculation and represents the most critical setting for the indicator. Default values range from 14 to 63 trading days, with shorter periods (14-21 days) providing more sensitive trend detection suitable for short-term trading strategies, while longer periods (42-63 days) offer more stable trend identification appropriate for position trading and long-term investment strategies. The parameter directly influences the statistical significance of trend measurements, with longer periods requiring stronger underlying trends to generate significant signals but providing greater reliability in trend identification. The Price Source parameter determines which price series is used for return calculations. The default close price provides standard trend analysis, while alternative selections such as high-low midpoint ((high + low) / 2) can reduce noise in volatile markets, and volume-weighted average price (VWAP) offers superior trend identification in institutional trading environments where volume concentration matters significantly. The Signal Threshold parameter establishes the minimum trend strength required for signal generation, with values ranging from -0.5 to 0.5. Conservative threshold settings (0.2 to 0.3) reduce false signals but may miss early trend opportunities, while aggressive settings (-0.1 to 0.1) provide earlier signal generation at the cost of increased false positive rates. The optimal threshold depends on the trader's risk tolerance and the volatility characteristics of the traded instrument. Trading Profile Configuration The Trading Profile system provides pre-configured parameter sets optimized for different trading approaches. The Conservative profile employs a 63-day lookback period with a 0.2 signal threshold and 0.5 noise sensitivity, designed for long-term position traders seeking high-probability trend signals with minimal false positives. The Balanced profile uses a 21-day lookback with 0.05 signal threshold and 1.0 noise sensitivity, suitable for swing traders requiring moderate signal frequency with acceptable noise levels. The Aggressive profile implements a 14-day lookback with -0.1 signal threshold and 1.5 noise sensitivity, optimized for day traders and scalpers requiring frequent signal generation despite higher noise levels. Advanced Noise Filtering System The noise filtering mechanism addresses the challenge of false signals during sideways market conditions through four distinct methodologies. The Adaptive filter adjusts thresholds based on current trend strength, increasing sensitivity during strong trending periods while raising thresholds during consolidation phases. The Volatility-based filter utilizes Average True Range (ATR) percentile analysis to suppress signals during abnormally volatile conditions that typically generate false trend indications. The Trend Strength filter requires alignment between multiple momentum indicators before confirming signals, reducing the probability of false breakouts from consolidation patterns. The Multi-factor approach combines all filtering methodologies using weighted scoring to provide the most robust noise reduction while maintaining signal responsiveness during genuine trend initiations. The Noise Sensitivity parameter controls the aggressiveness of the filtering system, with lower values (0.5-1.0) providing conservative filtering suitable for volatile instruments, while higher values (1.5-2.0) allow more signals through but may increase false positive rates during choppy market conditions. Visual Customization and Display Options The Color Scheme parameter offers eight professional visualization options designed for different analytical preferences and market conditions. The EdgeTools scheme provides high contrast visualization optimized for trend strength differentiation, while the Gold scheme offers warm tones suitable for commodity analysis. The Behavioral scheme uses psychological color associations to enhance decision-making speed, and the Quant scheme provides neutral colors appropriate for quantitative analysis environments. The Ocean, Fire, Matrix, and Arctic schemes offer additional aesthetic options while maintaining analytical functionality. Each scheme includes optimized colors for both light and dark chart backgrounds, ensuring visibility across different trading platform configurations. The Show Glow Effects parameter enhances plot visibility through multiple layered lines with progressive transparency, particularly useful when analyzing multiple timeframes simultaneously or when working with dense price data that might obscure trend signals. Performance Optimization Settings The Maximum Bars Back parameter controls the historical data depth available for calculations, with values ranging from 5,000 to 50,000 bars. Higher values enable analysis of longer-term trend patterns but may impact indicator loading speed on slower systems or when applied to multiple instruments simultaneously. The optimal setting depends on the intended analysis timeframe and available computational resources. The Calculate on Every Tick parameter determines whether the indicator updates with every price change or only at bar close. Real-time calculation provides immediate signal updates suitable for scalping and day trading strategies, while bar-close calculation reduces computational overhead and eliminates signal flickering during bar formation, preferred for swing trading and position management applications. Alert System Configuration The Alert Frequency parameter controls notification generation, with options for all signals, bar close only, or once per bar. High-frequency trading strategies benefit from all signals mode, while position traders typically prefer bar close alerts to avoid premature position entries based on intrabar fluctuations. The alert system generates four distinct notification types: Long Signal alerts when the trend measure crosses above the positive signal threshold, Short Signal alerts for negative threshold crossings, Bull Regime alerts when entering strong bullish conditions, and Bear Regime alerts for strong bearish regime identification. Table Display and Information Management The information table provides real-time statistical metrics including current trend value, regime classification, signal status, and filter effectiveness measurements. The table position can be customized for optimal screen real estate utilization, and individual metrics can be toggled based on analytical requirements. The Language parameter supports both English and German display options for international users, while maintaining consistent calculation methodology regardless of display language selection. Risk Management Integration Effective risk management integration requires coordination between the trend measure signals and position sizing algorithms. Strong trend readings (above 0.5 or below -0.5) support larger position sizes due to higher probability of trend continuation, while neutral readings (between -0.2 and 0.2) suggest reduced position sizes or range-trading strategies. The regime classification system provides additional risk management context, with Strong Bull and Strong Bear regimes supporting trend-following strategies, while Neutral regimes indicate potential for mean reversion approaches. The filter effectiveness metric helps traders assess current market conditions and adjust strategy parameters accordingly. Timeframe Considerations and Multi-Timeframe Analysis The indicator's effectiveness varies across different timeframes, with higher timeframes (daily, weekly) providing more reliable trend identification but slower signal generation, while lower timeframes (hourly, 15-minute) offer faster signals with increased noise levels. Multi-timeframe analysis combining trend alignment across multiple periods significantly improves signal quality and reduces false positive rates. For optimal results, traders should consider trend alignment between the primary trading timeframe and at least one higher timeframe before entering positions. Divergences between timeframes often signal potential trend reversals or consolidation periods requiring strategy adjustment. Conclusion The Tzotchev Trend Measure represents a significant advancement in technical analysis methodology, combining rigorous statistical foundations with practical trading applications. Its implementation of the J.P. Morgan research methodology provides institutional-quality trend analysis capabilities previously available only to sophisticated quantitative trading firms. The comprehensive parameter configuration options enable customization for diverse trading styles and market conditions, while the advanced noise filtering and regime detection capabilities provide superior signal quality compared to traditional trend-following indicators. Proper parameter selection and understanding of the indicator's statistical foundation are essential for achieving optimal trading results and effective risk management. References Abramowitz, M. and Stegun, I.A. (1964). Handbook of Mathematical Functions with Formulas, Graphs, and Mathematical Tables. Washington: National Bureau of Standards. Ang, A. and Bekaert, G. (2002). Regime Switches in Interest Rates. Journal of Business and Economic Statistics, 20(2), 163-182. Asness, C.S., Moskowitz, T.J., and Pedersen, L.H. (2013). Value and Momentum Everywhere. Journal of Finance, 68(3), 929-985. Bollinger, J. (2001). Bollinger on Bollinger Bands. New York: McGraw-Hill. Fama, E.F. and French, K.R. (1988). Permanent and Temporary Components of Stock Prices. Journal of Political Economy, 96(2), 246-273. Hurst, B., Ooi, Y.H., and Pedersen, L.H. (2013). Demystifying Managed Futures. Journal of Investment Management, 11(3), 42-58. Jegadeesh, N. and Titman, S. (2001). Profitability of Momentum Strategies: An Evaluation of Alternative Explanations. Journal of Finance, 56(2), 699-720. Kaufman, P.J. (2013). Trading Systems and Methods. 5th Edition. Hoboken: John Wiley & Sons. Moskowitz, T.J., Ooi, Y.H., and Pedersen, L.H. (2012). Time Series Momentum. Journal of Financial Economics, 104(2), 228-250. Tzotchev, D., Lo, A.W., and Hasanhodzic, J. (2015). Designing robust trend-following system: Behind the scenes of trend-following. J.P. Morgan Quantitative Research, Asset Management Division.
Indicateur Pine Script®
par EdgeTools
2
Artharjan ADXArtharjan ADX (AADX) by Rrahul Desai @Artharjan 📌 Overview The Artharjan ADX (AADX) is an advanced implementation of the Average Directional Index (ADX) with customizable moving averages, momentum thresholds, and visually intuitive grading of bullish and bearish strength. Unlike the standard ADX indicator that only shows trend strength, AADX adds graded bullish/bearish conditions, alerts, smoothed DI signals, histogram visualizations, and background color fills to help traders quickly interpret market conditions. It is designed for traders who want early detection of trend strength, clean visual cues, and automated alert triggers for both bullish and bearish momentum setups. ⚙️ Key Features 🔹 Customizable Calculations DI Length (default 13) – controls sensitivity of directional indicators. +/- DI Smoothing – smooths DI signals with user-selected MA. Multiple Moving Average Types – SMA, EMA, WMA, RMA, VWMA, ALMA, Hull, SWMA, SMMA, TMA. ADX Smoothing – define how smooth/fast the ADX reacts. 🔹 Flexible Display Toggle between line plots or histogram view. Adjustable plot thickness. Option to plot averages of ADX, +DI, -DI for confirmation. Configurable background fills: ADX above/below momentum threshold. ADX rising/falling color shading. Trend-grade based color intensity. 🔹 Momentum & Thresholds Momentum Level (default 25) → defines “strong trend” zone. Crossover Threshold (default 15) → helps detect early DI crossovers. Color-coded histogram bars for +DI vs -DI difference: Above/below zero. Rising/falling momentum. 🔹 Bullish & Bearish Grading System The indicator assigns grades from 1 to 5 for both bullish and bearish setups, based on DI and ADX conditions: Bullish Grades Grade 1 → Very Weak Bullish Grade 2 → Weak Bullish Grade 3 → Moderate Bullish Grade 4 → Strong Bullish Grade 5 → Very Strong Bullish Bearish Grades Grade 1 → Very Weak Bearish Grade 2 → Weak Bearish Grade 3 → Moderate Bearish Grade 4 → Strong Bearish Grade 5 → Very Strong Bearish Labels are automatically plotted above bars to indicate the active grade. 🔹 Alerts Bullish Alert → when +DI crosses above its average below the threshold OR bullish conditions are met. Bearish Alert → when -DI crosses above its average below the threshold OR bearish conditions are met. These alerts make it possible to automate trading signals for scalping, intraday, and swing trading. 📊 Use Cases Trend Strength Measurement Spot when markets shift from range-bound to trending. Confirm the reliability of breakouts with strong ADX readings. Bullish vs Bearish Control Compare +DI vs -DI strength to gauge trend direction. Identify trend reversals early with DI slope changes. Momentum Confirmation Use ADX rising + DI grades to validate trade entries. Filter false breakouts with weak ADX. Trade Grading System Enter aggressively on Grade 4–5 signals. Stay cautious on Grade 1–2 signals. Automated Alerts & Screening Combine AADX alerts with strategy rules. Build scanners to highlight strong ADX setups across multiple stocks. 🎯 Trader’s Advantage More powerful than standard ADX → Adds slope, grading, alerts, and visualization. Adaptable to any style → Works for intraday scalping, swing trading, and positional analysis. Visual clarity → Color fills, histograms, and labels simplify decision-making. Customizable smoothing → Adjusts to fast or slow markets. ✅ Closing Note The Artharjan ADX (AADX) transforms the traditional ADX into a complete trend and momentum analyzer. It helps traders detect, confirm, and act on directional strength with clarity and confidence. With Thanks, Rrahul Desai @Artharjan
Indicateur Pine Script®
par rsdesai005
EMA20 Cross Strategy with countertrades and signalsEMA20 Cross Strategy Documentation Overview The EMA20 Cross Strategy with Counter-Trades and Instant Signals is a Pine Script (version 6) trading strategy designed for the TradingView platform. It implements an Exponential Moving Average (EMA) crossover system to generate buy and sell signals, with optional trend filtering, session-based trading, instant signal processing, and visual/statistical feedback. The strategy supports counter-trades (closing opposing positions before entering new ones) and operates with a fixed trade size in EUR. Features EMA Crossover Mechanism: Uses a short-term EMA (configurable length, default: 1) and a long-term EMA (default: 20) to detect crossovers. A buy signal is generated when the short EMA crosses above the long EMA. A sell signal is generated when the short EMA crosses below the long EMA. Instant Signals: If enabled (useInstantSignals), signals are based on the current price crossing the short EMA, rather than waiting for the candle close. This allows faster trade execution but may increase sensitivity to price fluctuations. Trend Filter: Optionally filters trades based on the trend direction (useTrendFilter). Long trades are allowed only when the short EMA (or price, for instant signals) is above the long EMA. Short trades are allowed only when the short EMA (or price) is below the long EMA. Session Filter: Restricts trading to specific market hours (sessionStart, default: 09:00–17:00) if enabled (useSessionFilter). Ensures trades occur only during active market sessions, reducing exposure to low-liquidity periods. Customizable Timeframe: The EMA calculations can use a higher timeframe (e.g., 5m, 15m, 1H, 4H, 1D, default: 1H) via request.security. This allows the strategy to base signals on longer-term trends while operating on a shorter-term chart. Trade Management: Fixed trade size of €100,000 per trade (tradeAmount), with a maximum quantity cap (maxQty = 10,000) to prevent oversized trades. Counter-trades: Closes short positions before entering a long position and vice versa. Trades are executed with a minimum quantity of 1 to ensure valid orders. Visualization: EMA Lines: The short EMA is colored based on the last signal (green for buy, red for sell, gray for neutral), and the long EMA is orange. Signal Markers: Displays buy/sell signals as arrows (triangles) above/below candles if enabled (showSignalShapes). Background/Candle Coloring: Optionally colors the chart background or candles green (bullish) or red (bearish) based on the trend (useColoredBars). Statistics Display: If enabled (useStats), a label on the chart shows: Total closed trades Open trades Win rate (%) Number of winning/losing trades Profit factor (gross profit / gross loss) Net profit Maximum drawdown Configuration Inputs EMA Short Length (emaLength): Length of the short-term EMA (default: 1). Trend EMA Length (trendLength): Length of the long-term EMA (default: 20). Enable Trend Filter (useTrendFilter): Toggles trend-based filtering (default: true). Color Candles (useColoredBars): Colors candles instead of the background (default: true). Enable Session Filter (useSessionFilter): Restricts trading to specified hours (default: false). Trading Session (sessionStart): Defines trading hours (default: 09:00–17:00). Show Statistics (useStats): Displays performance stats on the chart (default: true). Show Signal Arrows (showSignalShapes): Displays buy/sell signals as arrows (default: true). Use Instant Signals (useInstantSignals): Generates signals based on live price action (default: false). EMA Timeframe (emaTimeframe): Timeframe for EMA calculations (options: 5m, 15m, 1H, 4H, 1D; default: 1H). Strategy Logic Signal Generation: Standard Mode: Signals are based on EMA crossovers (short EMA crossing long EMA) at candle close. Instant Mode: Signals are based on the current price crossing the short EMA, enabling faster reactions. Trade Execution: On a buy signal, closes any short position and opens a long position. On a sell signal, closes any long position and opens a short position. Position size is calculated as the minimum of €100,000 or available equity, divided by the current price, capped at 10,000 units. Filters: Trend Filter: Ensures trades align with the trend direction (if enabled). Session Filter: Restricts trades to user-defined market hours (if enabled). Visual Feedback EMA Lines: Provide a clear view of the short and long EMAs, with the short EMA’s color reflecting the latest signal. Signal Arrows: Large green triangles (buy) below candles or red triangles (sell) above candles for easy signal identification. Chart Coloring: Highlights bullish (green) or bearish (red) trends via background or candle colors. Statistics Label: Displays key performance metrics in a label above the chart for quick reference. Usage Notes Initial Capital: €100,000 (configurable via initial_capital). Currency: EUR (set via currency). Order Processing: Orders are processed at candle close (process_orders_on_close=true) unless instant signals are enabled. Dynamic Requests: Allows dynamic timeframe adjustments for EMA calculations (dynamic_requests=true). Platform: Designed for TradingView, compatible with any market supported by the platform (e.g., stocks, forex, crypto). Example Use Case Scenario: Trading on a 5-minute chart with a 1-hour EMA timeframe, trend filter enabled, and session filter set to 09:00–17:00. Behavior: The strategy will: Calculate EMAs on the 1-hour timeframe. Generate buy signals when the short EMA crosses above the long EMA (and price is above the long EMA). Generate sell signals when the short EMA crosses below the long EMA (and price is below the long EMA). Execute trades only during 09:00–17:00. Display green/red candles and performance stats on the chart. Limitations Instant Signals: May lead to more frequent signals, increasing the risk of false positives in volatile markets. Fixed Trade Size: Does not adjust dynamically based on market conditions beyond equity and max quantity limits. Session Filter: Simplified and may not account for complex session rules or holidays. Statistics: Displayed on-chart, which may clutter the view in smaller charts. Customization Adjust emaLength and trendLength to suit different market conditions (e.g., shorter for scalping, longer for swing trading). Toggle useInstantSignals for faster or more stable signal generation. Modify sessionStart to align with specific market hours. Disable useStats or showSignalShapes for a cleaner chart. This strategy is versatile for both manual and automated trading, offering flexibility for various markets and trading styles while providing clear visual and statistical feedback.
Stratégie Pine Script®
par osterhansi_
Vagas-dctang(8~13)Overview The Vegas Tunnel EMA 8-13 is a refined technical analysis indicator that utilizes two key exponential moving averages (8-period and 13-period EMAs) to create a dynamic tunnel system for identifying trend direction and potential support/resistance zones. This indicator is specifically designed to help traders visualize price action within the context of short-term trend dynamics. Key Features ✅ Dual EMA Tunnel System: Creates a visual tunnel between 8 EMA (fast) and 13 EMA (slow) to identify trend channels ✅ Dynamic Support Detection: The tunnel acts as dynamic support during uptrends and resistance during downtrends ✅ Trend Confirmation: Price position relative to the tunnel helps confirm the current market trend ✅ Entry/Exit Signals: Tunnel crossovers and price interactions provide clear trading signals ✅ Multi-Timeframe Compatible: Works effectively across various timeframes from scalping to swing trading How It Works The Vegas Tunnel EMA 8-13 operates on the principle that shorter-period EMAs react more quickly to price changes, creating a responsive tunnel system: Bullish Tunnel: When 8 EMA > 13 EMA, the tunnel indicates an upward trend with potential support zones Bearish Tunnel: When 8 EMA < 13 EMA, the tunnel indicates a downward trend with potential resistance zones Tunnel Width: The distance between EMAs indicates trend strength and volatility Price Interaction: Bounces off the tunnel boundaries suggest trend continuation, while breaks may signal reversals Trading Applications Trend Following: Use tunnel direction to align trades with the prevailing trend Support/Resistance Trading: Enter long positions when price bounces off tunnel support, short when rejected at resistance Breakout Strategy: Trade tunnel breaks as potential trend continuation or reversal signals Risk Management: Use tunnel boundaries as dynamic stop-loss levels Advantages Over Traditional Moving Averages Reduced Noise: The tunnel system filters out minor price fluctuations Visual Clarity: Easy identification of trend channels and key levels Faster Response: 8-13 period combination provides quicker signals than longer-term systems Versatile Application: Suitable for various trading styles and market conditions Best Practices Combine with volume analysis for stronger signal confirmation Consider higher timeframe tunnel direction for context Use proper risk management with position sizing Backtest on your preferred instruments and timeframes This indicator is ideal for traders seeking a clean, effective tool for trend analysis and dynamic support/resistance identification in fast-moving markets.
Indicateur Pine Script®
par tangdixi
1
Smart Structure Breaks & Order BlocksOverview (What it does) The indicator “Smart Structure Breaks & Order Blocks” detects market structure using swing highs and lows, identifies Break of Structure (BOS) events, and automatically draws order blocks (OBs) from the origin candle. These zones extend to the right and change color/outline when mitigated or invalidated. By formalizing and automating part of discretionary analysis, it provides consistent zone recognition. Main Components Swing Detection: ta.pivothigh/ta.pivotlow identify confirmed swing points. BOS Detection: Determines if the recent swing high/low is broken by close (strict mode) or crossover. OB Creation: After a BOS, the opposite candle (bearish for bullish BOS, bullish for bearish BOS) is used to generate an order block zone. Zone Management: Limits the number of zones, extends them to the right, and tracks tagged (mitigated) or invalidated states. Input Parameters Left/Right Pivot (default 6/6): Number of bars required on each side to confirm a swing. Higher values = smoother swings. Max Zones (default 4): Maximum zones stored per direction (bull/bear). Oldest zones are overwritten. Zone Confirmation Lookback (default 3): Ensures OB origin candle validity by checking recent highs/lows. Show Swing Points (default ON): Displays triangles on swing highs/lows. Require close for BOS? (default ON): Strict BOS (close required) vs loose BOS (line crossover). Use candle body for zones (default OFF): Zones drawn from candle body (ON) or wick (OFF). Signal Definition & Logic Swing Updates: Latest confirmed pivots update lastHighLevel / lastLowLevel. BOS (Break of Structure): 　Bullish – close breaks last swing high. 　Bearish – close breaks last swing low. 　Only one valid BOS per swing (avoids duplicates). OB Detection: 　Bullish BOS → previous bearish candle with lowest low forms the OB. 　Bearish BOS → previous bullish candle with highest high forms the OB. 　Zones: Bull = green, Bear = red, semi-transparent, extended to the right. Zone States: 　Mitigated: Price touches the zone → border highlighted. 　Invalidated: 　　Bull zone → close below → turns red. 　　Bear zone → close above → turns green. Chart Appearance Swing High: red triangle above bar Swing Low: green triangle below bar Bull OB: green zone (border highlighted on touch) Bear OB: red zone (border highlighted on touch) Invalid Zones: Bull zones turn reddish, Bear zones turn greenish Practical Use (Trading Assistance) Trend Following Entries: Buy pullbacks into green OBs in uptrends, sell rallies into red OBs in downtrends. Focus on First Touch: First mitigation after BOS often has higher reaction probability. Confluence: Combine with higher timeframe trend, volume, session levels, key price levels (previous highs/lows, VWAP, etc.). Stops/Targets: 　Bull – stop below zone, partial take profit at swing high or resistance. 　Bear – stop above zone, partial take profit at swing low or support. Parameter Tuning (per market/timeframe) Pivot (6/6 → 4/4/8/8): Lower for scalping (3–5), medium for day trading (5–8), higher for swing trading (8–14). Increase to reduce noise. Strict Break: ON to reduce false breaks in ranging markets; OFF for earlier signals. Body Zones: ON for assets with long wicks, OFF for cleaner OBs in liquid instruments. Zone Confirmation (default 3): Increase for stricter OB origin, fewer zones. Max Zones (default 4 → 6–10): Increase for higher volatility, decrease to avoid clutter. Strengths Standardizes BOS and OB detection that is usually subjective. Tracks mitigation and invalidation automatically. Adaptable: allows body/wick zone switching for different instruments. Limitations Pivot-based: Signals appear only after pivots confirm (slight lag). Zones reflect past balance: Can fail after new events (news, earnings, macro data). Range-heavy markets: More false BOS; consider stricter settings. Backtesting: This script is for drawing/visual aid; trading rules must be defined separately. Workflow Example Identify higher timeframe trend (4H/Daily). On lower TF (15–60m), wait for BOS and new OB. Enter on first mitigation with confirmation candle. Stop beyond zone; targets based on R multiples and swing points. FAQ Q: Why are zones invalidated quickly? A: Flow reversal after BOS. Adjust pivots higher, enable Strict mode, or switch to Body zones to reduce noise. Q: What does “tagged” mean? A: Price touched the zone once = mitigated. Implies some orders in that zone may have been filled. Q: Body or Wick zones? A: Wick zones are fine in clean markets. For volatile pairs with long wicks, body zones provide more realistic areas. Customization Tips (Code perspective) Zone storage: Currently ring buffer ((idx+1) % zoneLimit). Could prioritize keeping unmitigated zones. Automated testing: Add strategy.entry/exit for rule-based backtests. Multi-timeframe: Use request.security() for higher timeframe swings/BOS. Visualization: Add labels for BOS bars, tag zones with IDs, count touches. Summary This indicator formalizes the cycle Swing → BOS → OB creation → Mitigation/Invalidation, providing consistent structure analysis and zone tracking. By tuning sensitivity and strictness, and combining with higher timeframe context, it enhances pullback/continuation trading setups. Always combine with proper risk management.
Indicateur Pine Script®
par PakunFX
ADX Tide ZonesADX Tide Zones – Adaptive Momentum & Trend Strength Framework Overview ADX Tide Zones – Professional is a dynamic trend-strength visualizer designed for traders who want to interpret momentum with precision and context. By combining the Average Directional Index (ADX) with adaptive threshold logic, the indicator segments price action into distinct “tide zones” that reflect varying levels of market strength: Calm, Rising, Strong, and Falling Tides. These zones transform raw ADX readings into an interpretable framework that highlights when markets are consolidating, building momentum, trending strongly, or losing strength. Unlike standard ADX readings, which can be difficult to interpret in real time, ADX Tide Zones translate momentum shifts into a continuous, color-coded system that traders can instantly read. Whether applied to scalping, intraday, or swing trading, the indicator offers a consistent methodology for identifying actionable opportunities across assets and timeframes. How It Works The foundation of ADX Tide Zones lies in momentum analysis via the ADX. By measuring the strength (not direction) of a trend, ADX provides an objective read on when markets are gaining or losing energy. ADX Tide Zones enhances this by applying threshold logic to classify ADX values into four distinct states: Calm Tide : Low ADX values indicate sideways or consolidating conditions. Rising Tide : ADX increases past a threshold, signaling momentum building. Strong Tide : ADX remains elevated, confirming robust and sustained trend strength. Falling Tide : ADX declines after strength, hinting at exhaustion or early reversal setups. These states are displayed on the chart through adaptive visualizations (zones, bar colors, or overlays), offering real-time clarity on when to expect expansion, continuation, or contraction in price action. Interpretation Trend Analysis : By mapping transitions between tides, traders can instantly gauge whether markets are in accumulation, expansion, or exhaustion phases. Rising/Strong Tides reinforce trend continuation, while Falling Tides highlight weakening conditions. Volatility & Risk Assessment : Shifts between Calm → Rising Tide often precede volatility expansions. Falling Tides can signal a period of compression or corrective moves, warning traders to manage risk proactively. Market Context : The indicator does not dictate direction; instead, it overlays strength on top of price action, allowing traders to combine it with directional tools such as moving averages, order blocks, or liquidity zones for confirmation. Strategy Integration ADX Tide Zones adapts seamlessly to a wide range of trading strategies by translating momentum dynamics into actionable frameworks: Trend Following : Traders can align with dominant flows by entering positions when the indicator confirms a Rising Tide or Strong Tide. These conditions signal persistent directional strength, making them ideal for continuation setups. Combining directional bias with ADX confirmation reduces the risk of trading against prevailing momentum. Breakout Trading : When the market transitions from Calm Tide into a Rising Tide, it often precedes a volatility expansion. This shift highlights breakout conditions where accumulation gives way to impulsive price movement. Traders can use this transition as a timing tool to catch early entries into new momentum phases. Exhaustion Reversals : Strong Tide phases don’t last forever—when they begin to fade into Falling Tide, it can mark trend fatigue or liquidity exhaustion. This offers contrarian traders an early edge in spotting overextended moves and positioning for corrective pullbacks or full reversals. Multi-Timeframe Analysis : By overlaying higher timeframe tide zones on intraday or scalping charts, traders can filter noise and trade in alignment with larger flows. For example, combining a daily Rising Tide bias with a 15-minute breakout confirmation can significantly improve entry precision while reducing exposure to false signals. Advanced Techniques For traders seeking an extra edge, ADX Tide Zones can be pushed further with advanced methods: Volume & Liquidity Confirmation : Pair the tide transitions with volume spikes, order flow, or liquidity sweep tools. When directional strength confirmed by the ADX coincides with institutional activity, it validates setups and increases probability of follow-through. Cross-Asset Synchronization : Momentum rarely exists in isolation. Monitoring tide shifts across correlated instruments (e.g., majors vs. USD, or indices vs. risk assets) can uncover synchronized volatility events. These correlations help traders identify whether a move is isolated noise or part of a broader systemic trend. Threshold Optimization : The sensitivity of ADX Tide Zones can be fine-tuned for different trading objectives. Lower thresholds heighten responsiveness, capturing micro-moves suitable for scalpers. Higher thresholds filter minor fluctuations, isolating major structural swings that align with swing or position trading. Contextual Trade Management : Instead of using static stops or targets, traders can adapt risk management dynamically by tracking tide progression. For example, a trade initiated during Rising Tide may remain valid as long as conditions sustain, but partial profits or tighter stops can be applied once the zone shifts to Calm Tide. Inputs & Customization ADX Length : Define the lookback period for ADX calculation. Threshold Levels : Adjust sensitivity for Calm, Rising, Strong, and Falling Tides. Zone Visualization : Choose between bar coloring, background shading, or overlays. Color Customization : Configure bullish, bearish, neutral, and tide-specific colors. Multi-Timeframe Options : Enable tide readings from higher timeframes for confirmation. Why Use ADX Tide Zones ADX Tide Zones turns the complexity of momentum analysis into a visual system that highlights when markets are gearing up for moves, trending with conviction, or running out of steam. By combining adaptive ADX interpretation with customizable thresholds, traders can: Anticipate breakouts before volatility expands. Confirm the strength behind price trends. Spot exhaustion phases early to secure profits or prepare for reversals. Adapt strategies seamlessly between scalping, intraday, and swing trading. With its balance of simplicity and depth, ADX Tide Zones provides a structured lens for reading market momentum, equipping traders with the clarity needed to execute with discipline and confidence.
Indicateur Pine Script®
par BOSWaves
4
ZLEMA Trend Index 2.0ZTI — ZLEMA Trend Index 2.0 (0–1000) Overview Price Mapped ZTI v2.0 - Enhanced Zero-Lag Trend Index. This indicator is a significant upgrade to the original ZTI v1.0, featuring enhanced resolution from 0-100 to 0-1000 levels for dramatically improved price action accuracy. The Price Mapped ZTI uses direct price-to-level mapping to eliminate statistical noise and provide true proportional representation of market movements. Key Innovation: Instead of statistical normalization, this version maps current price position within a user-defined lookback period directly to the ZTI scale, ensuring perfect correlation with actual price movements. I believe this is the best way to capture trends instead of directly on the charts using a plethora of indicators which introduces bad signals resulting in drawdowns. The RSI-like ZTI overbought and oversold lines filter valid trends by slicing through the current trading zone. Unlike RSI that can introduce false signals, the ZTI levels 1 to 1000 is faithfully mapped to the lowest to highest price in the current trading zone (lookback period in days) which can be changed in the settings. The ZTI line will never go off the beyond the ZTI levels in case of extreme trend continuation as the trading zone is constantly updated to reflect only the most recent bars based on lookback days. Core Features ✅ 10x Higher Resolution - 0-1000 scale provides granular movement detection ✅ Adjustable Trading Zone - Customizable lookback period from 1-50 days ✅ Price-Proportional Mapping - Direct correlation between price position and ZTI level ✅ Zero Statistical Lag - No rolling averages or standard deviation calculations ✅ Multi-Strategy Adaptability - Single parameter adjustment for different trading styles Trading Zone Optimization 📊 Lookback Period Strategies Short-term (1-3 days): Ultra-responsive to recent price action Perfect for scalping and day trading Tight range produces more sensitive signals Medium-term (7-14 days): Balanced view of recent trading range Ideal for swing trading Captures meaningful support/resistance levels Long-term (21-30 days): Broader market context Excellent for position trading Smooths out short-term market noise ⚡ Market Condition Adaptation Volatile Markets: Use shorter lookback (3-5 days) for tighter ranges Trending Markets: Use longer lookback (14-21 days) for broader context Ranging Markets: Use medium lookback (7-10 days) for clear boundaries 🎯 Timeframe Optimization 1-minute charts: 1-2 day lookback 5-minute charts: 2-5 day lookback Hourly charts: 7-14 day lookback Daily charts: 21-50 day lookback Trading Applications Scalping Setup (2-day lookback): Super tight range for quick reversals ZTI 800+ = immediate short opportunity ZTI 200- = immediate long opportunity Swing Trading Setup (10-day lookback): Meaningful swing levels captured ZTI extremes = high-probability reversal zones More stable signals, reduced whipsaws Advanced Usage 🔧 Real-Time Adaptability Trending days: Increase to 14+ days for broader perspective Range-bound days: Decrease to 3 days for tighter signals High volatility: Shorter lookback for responsiveness Low volatility: Longer lookback to avoid false signals 💡 Multi-Timeframe Approach Entry signals: Use 7-day ZTI on main timeframe Trend confirmation: Use 21-day ZTI on higher timeframe Exit timing: Use 3-day ZTI for precise exits 🌐 Session Optimization Asian session: Shorter lookback (3-5 days) for range-bound conditions London/NY session: Longer lookback (7-14 days) for trending conditions How It Works The indicator maps the current price position within the specified lookback period directly to a 0-1000 scale and plots it using ZLEMA (Zero Lag Exponential Moving Average) which has the least lag of the available popular moving averages: Price at recent high = ZTI at 1000 Price at recent low = ZTI at 1 Price at mid-range = ZTI at 500 This creates perfect proportional representation where every price movement translates directly to corresponding ZTI movement, eliminating the false signals common in traditional oscillators. This single, versatile indicator adapts to any market condition, timeframe, or trading style through one simple parameter adjustment, making it an essential tool for traders at every level. Credits ZLEMA techniques widely attributed to John Ehlers. Disclaimer This tool is for educational purposes only and is not financial advice. Backtest and forward‑test before live use, and always manage risk. Please note that I set this as closed source to prevent source code cloning by others, repackaging and republishing which results in multiple confusing choices of the same indicator.
Indicateur Pine Script®
par Coinbank-MMXXV
1
ORB with Golden Zone FIB targets, Any Timeframe by TenAMTraderDescription: This indicator is designed to help traders identify key price levels using Fibonacci extensions and retracements based on the Opening Range Breakout (ORB). The levels are visualized as “Golden Zones”, which can serve as potential targets for trades. Features: Customizable ORB Timeframe: By default, the ORB is set from 9:30 AM to 9:45 AM EST, but any timeframe can be configured in the settings to fit your trading style. Golden Zones as Targets: Fibonacci levels are intended to be used as potential profit-taking zones or areas to monitor for reversals, providing a structured framework for intraday and swing trading. Adjustable Chart Settings: Color-coded levels make it easy to interpret at a glance, and all lines can be customized for personal preference. Versatile Application: The indicator works across any timeframe, enabling traders to analyze both intraday and multi-day price action. How to Use: Ensure Regular Trading Hours (RTH) is enabled on your chart for accurate level calculation. Observe price action near Golden Zones: a confirmed breakout may indicate continuation, while a pullback could signal a reversal opportunity. Use the Golden Zones as reference targets for managing risk and planning exits. Adjust the ORB timeframe and display settings to match your preferred trading style. Legal Disclosure: This indicator is provided for educational purposes only and is not financial advice. Trading carries a substantial risk of loss. Users should always perform their own analysis and consult a licensed financial professional before making any trading decisions. Past performance is not indicative of future results.
Indicateur Pine Script®
par TenAM_Trader
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Indicateur Pine Script®
par ericc2c45
Swing Z – Crypto Trading Algorithm | Zillennial Technologies IncSwing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
Indicateur Pine Script®
par ericc2c45