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Moving Averages

Levels Of Interest------------------------------------------------------------------------------------ LEVELS OF INTEREST (LOI) TRADING INDICATOR GUIDE ------------------------------------------------------------------------------------ Table of Contents: 1. Indicator Overview & Core Functionality 2. VWAP Foundation & Historical Context 3. Multi-Timeframe VWAP Analysis 4. Moving Average Integration System 5. Trend Direction Signal Detection 6. Visual Design & Display Features 7. Custom Level Integration 8. Repaint Protection Technology 9. Practical Trading Applications 10. Setup & Configuration Recommendations ------------------------------------------------------------------------------------ 1. INDICATOR OVERVIEW & CORE FUNCTIONALITY ------------------------------------------------------------------------------------ The LOI indicator combines multiple VWAP calculations with moving averages across different timeframes. It's designed to show where institutional money is flowing and help identify key support and resistance levels that actually matter in today's markets. Primary Functions: - Multi-timeframe VWAP analysis (Daily, Weekly, Monthly, Yearly) - Advanced moving average integration (EMA, SMA, HMA) - Real-time trend direction detection - Institutional flow analysis - Dynamic support/resistance identification Target Users: Day traders, swing traders, position traders, and institutional analysts seeking comprehensive market structure analysis. ------------------------------------------------------------------------------------ 2. VWAP FOUNDATION & HISTORICAL CONTEXT ------------------------------------------------------------------------------------ Historical Development: VWAP started in the 1980s when big institutional traders needed a way to measure if they were getting good fills on their massive orders. Unlike regular price averages, VWAP weighs each price by the volume traded at that level. This makes it incredibly useful because it shows you where most of the real money changed hands. Mathematical Foundation: The basic math is simple: you take each price, multiply it by the volume at that price, add them all up, then divide by total volume. What you get is the true "average" price that reflects actual trading activity, not just random price movements. Formula: VWAP = Σ(Price × Volume) / Σ(Volume) Where typical price = (High + Low + Close) / 3 Institutional Behavior Patterns: - When price trades above VWAP, institutions often look to sell - When it's below, they're usually buying - Creates natural support and resistance that you can actually trade against - Serves as benchmark for execution quality assessment ------------------------------------------------------------------------------------ 3. MULTI-TIMEFRAME VWAP ANALYSIS ------------------------------------------------------------------------------------ Core Innovation: Here's where LOI gets interesting. Instead of just showing daily VWAP like most indicators, it displays four different timeframes simultaneously: **Daily VWAP Implementation**: - Resets every morning at market open - Provides clearest picture of intraday institutional sentiment - Primary tool for day trading strategies - Most responsive to immediate market conditions **Weekly VWAP System**: - Resets each Monday (or first trading day) - Smooths out daily noise and volatility - Perfect for swing trades lasting several days to weeks - Captures weekly institutional positioning **Monthly VWAP Analysis**: - Resets at beginning of each calendar month - Captures bigger institutional rebalancing at month-end - Fund managers often operate on monthly mandates - Significant weight in intermediate-term analysis **Yearly VWAP Perspective**: - Resets annually for full-year institutional view - Shows long-term institutional positioning - Where pension funds and sovereign wealth funds operate - Critical for major trend identification Confluence Zone Theory: The magic happens when multiple VWAP levels cluster together. These confluence zones often become major turning points because different types of institutional money all see value at the same price. ------------------------------------------------------------------------------------ 4. MOVING AVERAGE INTEGRATION SYSTEM ------------------------------------------------------------------------------------ Multi-Type Implementation: The indicator includes three types of moving averages, each with its own personality and application: **Exponential Moving Averages (EMAs)**: - React quickly to recent price changes - Displayed as solid lines for easy identification - Optimal performance in trending market conditions - Higher sensitivity to current price action **Simple Moving Averages (SMAs)**: - Treat all historical data points equally - Appear as dashed lines in visual display - Slower response but more reliable in choppy conditions - Traditional approach favored by institutional traders **Hull Moving Averages (HMAs)**: - Newest addition to the system (dotted line display) - Created by Alan Hull in 2005 - Solves classic moving average dilemma: speed vs. accuracy - Manages to be both responsive and smooth simultaneously Technical Innovation: Alan Hull's solution addresses the fundamental problem where moving averages are either too slow (missing moves) or too fast (generating false signals). HMAs achieve optimal balance through weighted calculation methodology. Period Configuration: - 5-period: Short-term momentum assessment - 50-period: Intermediate trend identification - 200-period: Long-term directional confirmation ------------------------------------------------------------------------------------ 5. TREND DIRECTION SIGNAL DETECTION ------------------------------------------------------------------------------------ Real-Time Momentum Analysis: One of LOI's best features is its real-time trend detection system. Next to each moving average, visual symbols provide immediate trend assessment: Symbol System: - ▲ Rising average (bullish momentum confirmation) - ▼ Falling average (bearish momentum indication) - ► Flat average (consolidation or indecision period) Update Frequency: These signals update in real-time with each new price tick and function across all configured timeframes. Traders can quickly scan daily and weekly trends to assess alignment or conflicting signals. Multi-Timeframe Trend Analysis: - Simultaneous daily and weekly trend comparison - Immediate identification of trend alignment - Early warning system for potential reversals - Momentum confirmation for entry decisions ------------------------------------------------------------------------------------ 6. VISUAL DESIGN & DISPLAY FEATURES ------------------------------------------------------------------------------------ Color Psychology Framework: The color scheme isn't random but based on psychological associations and trading conventions: - **Blue Tones**: Institutional neutrality (VWAP levels) - **Green Spectrum**: Growth and stability (weekly timeframes) - **Purple Range**: Longer-term sophistication (monthly analysis) - **Orange Hues**: Importance and attention (yearly perspective) - **Red Tones**: User-defined significance (custom levels) Adaptive Display Technology: The indicator automatically adjusts decimal places based on the instrument you're trading. High-priced stocks show 2 decimals, while penny stocks might show 8. This keeps the display incredibly clean regardless of what you're analyzing - no cluttered charts or overwhelming information overload. Smart Labeling System: Advanced positioning algorithm automatically spaces all elements to prevent overlap, even during extreme zoom levels or multiple timeframe analysis. Every level stays clearly readable without any visual chaos disrupting your analysis. ------------------------------------------------------------------------------------ 7. CUSTOM LEVEL INTEGRATION ------------------------------------------------------------------------------------ User-Defined Level System: Beyond the calculated VWAP and moving average levels, traders can add custom horizontal lines at any price point for personalized analysis. Strategic Applications: - **Psychological Levels**: Round numbers, previous significant highs/lows - **Technical Levels**: Fibonacci retracements, pivot points - **Fundamental Targets**: Analyst price targets, earnings estimates - **Risk Management**: Stop-loss and take-profit zones Integration Features: - Seamless incorporation with smart labeling system - Custom color selection for visual organization - Extension capabilities across all chart timeframes - Maintains display clarity with existing indicators ------------------------------------------------------------------------------------ 8. REPAINT PROTECTION TECHNOLOGY ------------------------------------------------------------------------------------ Critical Trading Feature: This addresses one of the most significant issues in live trading applications. Most multi-timeframe indicators "repaint," meaning they display different signals when viewing historical data versus real-time analysis. Protection Benefits: - Ensures every displayed signal could have been traded when it appeared - Eliminates discrepancies between historical and live analysis - Provides realistic performance expectations - Maintains signal integrity across chart refreshes Configuration Options: - **Protection Enabled**: Default setting for live trading - **Protection Disabled**: Available for backtesting analysis - User-selectable toggle based on analysis requirements - Applies to all multi-timeframe calculations Implementation Note: With protection enabled, signals may appear one bar later than without protection, but this ensures all signals represent actionable opportunities that could have been executed in real-time market conditions. ------------------------------------------------------------------------------------ 9. PRACTICAL TRADING APPLICATIONS ------------------------------------------------------------------------------------ **Day Trading Strategy**: Focus on daily VWAP with 5-period moving averages. Look for bounces off VWAP or breaks through it with volume. Short-term momentum signals provide entry and exit timing. **Swing Trading Approach**: Weekly VWAP becomes your primary anchor point, with 50-period averages showing intermediate trends. Position sizing based on weekly VWAP distance. **Position Trading Method**: Monthly and yearly VWAP provide broad market context, while 200-period averages confirm long-term directional bias. Suitable for multi-week to multi-month holdings. **Multi-Timeframe Confluence Strategy**: The highest-probability setups occur when daily, weekly, and monthly VWAPs cluster together, especially when multiple moving averages confirm the same direction. These represent institutional consensus zones. Risk Management Integration: - VWAP levels serve as dynamic stop-loss references - Multiple timeframe confirmation reduces false signals - Institutional flow analysis improves position sizing decisions - Trend direction signals optimize entry and exit timing ------------------------------------------------------------------------------------ 10. SETUP & CONFIGURATION RECOMMENDATIONS ------------------------------------------------------------------------------------ Initial Configuration: Start with default settings and adjust based on individual trading style and market focus. Short-term traders should emphasize daily and weekly timeframes, while longer-term investors benefit from monthly and yearly level analysis. Transparency Optimization: The transparency settings allow clear price action visibility while maintaining level reference points. Most traders find 70-80% transparency optimal - it provides a clean, unobstructed view of price movement while maintaining all critical reference levels needed for analysis. Integration Strategy: Remember that no indicator functions effectively in isolation. LOI provides excellent context for institutional flow and trend direction analysis, but should be combined with complementary analysis tools for optimal results. Performance Considerations: - Multiple timeframe calculations may impact chart loading speed - Adjust displayed timeframes based on trading frequency - Customize color schemes for different market sessions - Regular review and adjustment of custom levels ------------------------------------------------------------------------------------ FINAL ANALYSIS ------------------------------------------------------------------------------------ Competitive Advantage: What makes LOI different is its focus on where real money actually trades. By combining volume-weighted calculations with multiple timeframes and trend detection, it cuts through market noise to show you what institutions are really doing. Key Success Factor: Understanding that different timeframes serve different purposes is essential. Use them together to build a complete picture of market structure, then execute trades accordingly. The integration of institutional flow analysis with technical trend detection creates a comprehensive trading tool that addresses both short-term tactical decisions and longer-term strategic positioning. ------------------------------------------------------------------------------------ END OF DOCUMENTATION ------------------------------------------------------------------------------------
Pine Script® indicator
by meddymarkusvanhala
RONALD SMA BUY and SELL Indicator//@version=6 indicator('RONALD SMA BUY and SELL Indicator', overlay=true, max_labels_count=500) // 1. Instellingen met standaardwaarden fastLength = input.int(3, 'Fast SMA Lengte', minval=1, tooltip='Kortere periode voor snellere SMA') slowLength = input.int(40, 'Slow SMA Lengte', minval=1, tooltip='Langere periode voor tragere SMA') signalColor = input.color(color.yellow, 'Signaalkleur', tooltip='Kleur voor alle signalen') // 2. SMA berekeningen fastSMA = ta.sma(close, fastLength) slowSMA = ta.sma(close, slowLength) // 3. Plot SMA lijnen plot(fastSMA, 'Fast SMA', color.new(color.blue, 0), 2) plot(slowSMA, 'Slow SMA', color.new(color.red, 0), 2) // 4. Signaal detectie bullish = ta.crossover(fastSMA, slowSMA) bearish = ta.crossunder(fastSMA, slowSMA) // 5. Geavanceerde label positioning yPosBuy = low - (ta.tr(true) * 0.5) yPosSell = high + (ta.tr(true) * 0.5) // 6. Dynamische labels met vingers if bullish label.new( bar_index, yPosBuy, text='BUY', color=signalColor, style=label.style_label_up, textcolor=color.white, yloc=yloc.price, size=size.normal) if bearish label.new( bar_index, yPosSell, text='SELL', color=signalColor, style=label.style_label_down, textcolor=color.white, yloc=yloc.price, size=size.normal) // 7. Alternatieve plotshapes (optioneel) plotshape(bullish, style=shape.triangleup, location=location.belowbar, color=signalColor, size=size.small) plotshape(bearish, style=shape.triangledown, location=location.abovebar, color=signalColor, size=size.small) useTrendFilter = input(true, "Gebruik Trendfilter") trendLength = input(50, "Trend SMA Lengte") trendSMA = ta.sma(close, trendLength)
Pine Script® indicator
by RonaldenEstervoorhout
(Mustang Algo) Stochastic RSI + Triple EMAStochastic RSI + Triple EMA (StochTEMA) Overview The Stochastic RSI + Triple EMA indicator combines the Stochastic RSI oscillator with a Triple Exponential Moving Average (TEMA) overlay to generate clear buy and sell signals on the price chart. By measuring RSI overbought/oversold conditions and confirming trend direction with TEMA, this tool helps traders identify high-probability entries and exits while filtering out noise in choppy markets. Key Features Stochastic RSI Calculation Computes a standard RSI over a user-defined period (default 50). Applies a Stochastic oscillator to the RSI values over a second user-defined period (default 50). Smooths the %K line by taking an SMA over a third input (default 3), and %D is an SMA of %K over another input (default 3). Defines oversold when both %K and %D are below 20, and overbought when both are above 80. Triple EMA (TEMA) Calculates three successive EMAs on the closing price with the same length (default 9). Combines them using TEMA = 3×(EMA1 – EMA2) + EMA3, producing a fast-reacting trend line. Bullish trend is identified when price > TEMA and TEMA is rising; bearish trend when price < TEMA and TEMA is falling; neutral/flat when TEMA change is minimal. Signal Logic Strong Buy: Previous bar’s Stoch RSI was oversold (both %K and %D < 20), %K crosses above %D, and TEMA is in a bullish trend. Medium Buy: %K crosses above %D (without requiring oversold), TEMA is bullish, and previous %K < 50. Weak Buy: Previous bar’s %K and %D were oversold, %K crosses above %D, TEMA is flat or bullish (not bearish). Strong Sell: Previous bar’s Stoch RSI was overbought (both %K and %D > 80), %K crosses below %D, and TEMA is bearish. Medium Sell: %K crosses below %D (without requiring overbought), TEMA is bearish, and previous %K > 50. Weak Sell: Previous bar’s %K and %D were overbought, %K crosses below %D, TEMA is flat or bearish (not bullish). Visual Elements on Chart TEMA Line: Plotted in cyan (#00BCD4) with a medium-thick line for clear trend visualization. Buy/Sell Markers: BUY STRONG: Lime label below the candle BUY MEDIUM: Green triangle below the candle BUY WEAK: Semi-transparent green circle below the candle SELL STRONG: Red label above the candle SELL MEDIUM: Orange triangle above the candle SELL WEAK: Semi-transparent orange circle above the candle Candle & Background Coloring: When a strong buy or sell signal occurs, the candle body is tinted (semi-transparent lime/red) and the chart background briefly flashes light green (buy) or light red (sell). Dynamic Support/Resistance: On a strong buy signal, a green dot is plotted under that bar’s low as a temporary support marker. On a strong sell signal, a red dot is plotted above that bar’s high as a temporary resistance marker. Alerts Strong Buy Alert: Triggered when Stoch RSI is oversold, %K crosses above %D, and TEMA is bullish. Strong Sell Alert: Triggered when Stoch RSI is overbought, %K crosses below %D, and TEMA is bearish. General Buy Alert: Triggered on any bullish crossover (%K > %D) when TEMA is not bearish. General Sell Alert: Triggered on any bearish crossover (%K < %D) when TEMA is not bullish. Inputs Stochastic RSI Settings (group “Stochastic RSI”): K (smoothK): Period length for smoothing the %K line (default 3, minimum 1) D (smoothD): Period length for smoothing the %D line (default 3, minimum 1) RSI Length (lengthRSI): Number of bars used for the RSI calculation (default 50, minimum 1) Stochastic Length (lengthStoch): Number of bars for the Stochastic oscillator applied to RSI (default 50, minimum 1) RSI Source (src): Price source for the RSI (default = close) TEMA Settings (group “Triple EMA”): TEMA Length (lengthTEMA): Number of bars used for each of the three EMAs (default 9, minimum 1) How to Use Add the Script Copy and paste the indicator code into TradingView’s Pine Editor (version 6). Save the script and add it to your chart as “Stochastic RSI + Triple EMA (StochTEMA).” Adjust Inputs Choose shorter lengths for lower timeframes (e.g., intraday scalping) and longer lengths for higher timeframes (e.g., swing trading). Fine-tune the Stochastic RSI parameters (K, D, RSI Length, Stochastic Length) to suit the volatility of the instrument. Modify TEMA Length if you prefer a faster or slower moving average response. Interpret Signals Primary Entries/Exits: Focus on “BUY STRONG” and “SELL STRONG” signals, as they require both oversold/overbought conditions and a confirming TEMA trend. Confirmation Signals: Use “BUY MEDIUM”/“BUY WEAK” to confirm or add to an existing position when the market is trending. Similarly, “SELL MEDIUM”/“SELL WEAK” can be used to scale out or confirm bearish momentum. Support/Resistance Dots: These help identify recent swing lows (green dots) and swing highs (red dots) that were tagged by strong signals—useful to place stop-loss or profit-target orders. Set Alerts Open the Alerts menu (bell icon) in TradingView, choose this script, and select the desired alert condition (e.g., “BUY Signal Strong”). Configure notifications (popup, email, webhook) according to your trading workflow. Notes & Best Practices Filtering False Signals: By combining Stoch RSI crossovers with TEMA trend confirmation, most false breakouts during choppy price action are filtered out. Timeframe Selection: This indicator works on all timeframes, but shorter timeframes may generate frequent signals—consider higher-timeframe confirmation when trading lower timeframes. Risk Management: Always use proper position sizing and stop-loss placement. An “oversold” or “overbought” reading can remain extended for some time in strong trends. Backtesting/Optimization: Before live trading, backtest different parameter combinations on historical data to find the optimal balance between sensitivity and reliability for your chosen instrument. No Guarantee of Profits: As with any technical indicator, past performance does not guarantee future results. Use in conjunction with other forms of analysis (volume, price patterns, fundamentals). Author: Your Name or Username Version: 1.0 (Pine Script v6) Published: June 2025 Feel free to customize input values and visual preferences. If you find bugs or have suggestions for improvements, open an issue or leave a comment below. Trade responsibly!
Pine Script® indicator
by MustangAlgo
Mean Absolute Deviation Trend | Lyro RSMean Absolute Deviation Trend Introduction Mean Absolute Deviation (MAD) Trend is a precision tool designed to capture directional bias using the Mean Absolute Deviation from a dynamic moving average. It identifies trend shifts by measuring average volatility around price, highlighting bullish and bearish phases through adaptive bands. Signal Insight The 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 plots a dynamic bands around a user-defined moving average, using Mean Absolute Deviation (MAD) to reflect volatility-adjusted boundaries. A bullish signal is generated when price breaks above the upper MAD band—indicating positive momentum and potential trend continuation to the upside. A bearish signal occurs when price falls below the lower MAD band—signaling increased downside pressure and possible trend continuation to the downside. This approach gives traders a volatility-sensitive trend filter that can enhance signal quality across different market environments. Real-World Example 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 delivers a clear and timely long signal, capturing a +22.90% move. Upon exit, it seamlessly flips to a short position, securing an additional +13.34% —demonstrating its strength in both trending directions. Framework The 𝓜𝓐𝓓 𝓣𝓻𝓮𝓷𝓭 indicator identifies directional shifts by measuring price deviation from a dynamic moving average. At its core, it calculates the Mean Absolute Deviation (MAD) of price around a user-selected moving average. The indicator builds adaptive upper and lower bands by multiplying the MAD value above and below the moving average. When price crosses above the upper band, it triggers a bullish signal. When price crosses below the lower band, it signals bearish momentum which gives a bearish signal. This method provides an elegant balance between volatility sensitivity and trend clarity, adapting in real-time to changing market behavior. The moving average type and band sensitivity can be tuned to fit various strategies—from scalping to swing trading. Recommended Settings Long-Term Investing: 1D, EMA, 40, 2 Mid-Term Investing: 1D, Default Settings Swing Trading: 4h, EMA, 20, 2.5 Day/Intraday Trading: 15mins, 25, 2.5 ⚠️ WARNING ⚠️: THIS INDICATOR, OR ANY OTHER WE (LYRO RS) PUBLISH, IS NOT FINANCIAL OR INVESTMENT ADVICE. EVERY INDICATOR SHOULD BE COMBINED WITH PRICE ACTION, FUNDAMENTALS, OTHER TECHNICAL ANALYSIS TOOLS & PROPER RISK. MANAGEMENT.
Pine Script® indicator
by LyroRS
EMA Pullback System 1:5 RRR [SL]EMA Trend Pullback System (1:5 RRR) Summary: This indicator is designed to identify high-probability pullback opportunities along the main trend, providing trade signals that target a high 1:5 Risk/Reward Ratio. It is a trend-following strategy built for patient traders who wait for optimal setups. Strategy Logic: The system is based on three Exponential Moving Averages (EMAs): 21, 50, and 200. BUY Signal: Trend (Uptrend): The price must be above the 200 EMA. Pullback: The price must pull back into the "Dynamic Support Zone" between the 21 EMA and 50 EMA. Confirmation: A strong Bullish Confirmation Candle (e.g., Bullish Engulfing) must form within this zone. SELL Signal: Trend (Downtrend): The price must be below the 200 EMA. Pullback: The price must rally back into the "Dynamic Resistance Zone" between the 21 EMA and 50 EMA. Confirmation: A strong Bearish Confirmation Candle (e.g., Bearish Engulfing) must form within this zone. Key Features: Clearly plots the 21, 50, and 200 EMAs on the chart. Displays BUY and SELL labels when the rules are met. Automatically calculates and plots Stop Loss (SL) and Take Profit (TP) levels for each signal. The Risk/Reward Ratio for the Take Profit level is customizable in the settings (Default: 1:5). How to Use: Best suited for higher timeframes like H1 and H4. It is crucial to wait for the signal candle to close before considering an entry. While this is an automated tool, for best results, combine its signals with your own analysis of Price Action and Market Structure. Disclaimer: This is an educational tool and not financial advice. Trading involves substantial risk. Always use proper risk management. It is essential to backtest any strategy before deploying it with real capital.
Pine Script® indicator
by FEloner
Momentum Contour Pulse [ApexLegion]🌊 Momentum Contour Pulse *Advanced Multi-Layer Momentum Visualization with High-Precision Trend Reversal Detection* 📖 **OVERVIEW** The **Momentum Contour Pulse** is a sophisticated momentum analysis tool that combines topographic-style visualization with precision trend reversal signals. This indicator creates dynamic "contour maps" of market momentum, similar to elevation maps, where color intensity and gradient effects reveal the strength and direction of underlying market forces. **Key Innovation:** Unlike traditional momentum indicators that show simple lines or histograms, this system renders momentum as flowing, gradient-based bands that expand and contract with market volatility, providing an intuitive visual representation of market energy. ✨ **KEY FEATURES** 🎨 **Dynamic Contour Visualization** - **20-Level Gradient System**: Creates smooth topographic-style momentum bands - **Adaptive Color Intensity**: Glow effects strengthen with momentum conviction - **Dual-Color Zones**: Cyan for bullish momentum, Purple for bearish momentum - **Fade Effects**: Smooth visual transitions during momentum changes ⚡ **Precision Pulse Signals** - **🟢 Bull Pulse**: Triggered at trend reversal to upward momentum + maximum intensity - **🔴 Bear Pulse**: Triggered at trend reversal to downward momentum + maximum intensity - **Professional Glow Effects**: Multi-layer plotshape rendering for premium visual quality - **ATR-Based Positioning**: Signals placed at precise reversal points with volatility-adjusted spacing 🔧 **Advanced Technical Engine** - **ATG Filter System**: Proprietary dual-timeframe EMA flow analysis with angular separation - **Adaptive Volatility Bands**: Dynamic expansion/contraction based on market conditions - **Multi-Condition Confirmation**: Combines trend detection, breakout analysis, and momentum strength - **Intensity Filtering**: Only top 25% intensity signals qualify for pulse alerts 🚀 **HOW TO USE** ### **For Visual Analysis:** 1. **Contour Reading**: Brighter bands = stronger momentum, darker bands = weaker momentum 2. **Direction Assessment**: Cyan glow = bullish bias, Purple glow = bearish bias 3. **Momentum Tracking**: Watch band intensity changes to gauge momentum shifts **For Flow Analysis:** 1. **🟢 Bull Pulse**: Monitor for upside pressure when pulse appears at support levels 2. **🔴 Bear Pulse**: Observe downside flow when pulse appears at resistance levels 3. **Confirmation**: Validate momentum expansion with other technical analysis for optimal engagement zones **For Educational Purpose:** 1. Enable **"Show Debug Table"** to see all internal calculations 2. Enable **"Show Debug Lines"** to visualize trend zones and breakout levels 3. Study how momentum intensity correlates with price movements ⚙️ **CONFIGURATION GUIDE** **ATG Filter Settings** 🎯 - **Short-Term Flow Length (21)**: Controls fast EMA sensitivity - **Long-Term Flow Length (55)**: Controls slow EMA baseline - **Volatility Expansion Multiplier (1.75)**: Adjusts breakout zone sensitivity - **Trend Angle Threshold (25°)**: Sets minimum slope requirement for trend detection **Visual Customization** 🎨 - **Upper Band Color**: Customize bullish momentum color (default: Cyan) - **Lower Band Color**: Customize bearish momentum color (default: Purple) - **Base Glow Intensity (3.0)**: Controls overall visual brightness - **Momentum Boost Multiplier (1.3)**: Amplifies visual response to strong moves **Learning Tools** 🔧 - **Show Debug Table**: Reveals all calculation steps and decision logic - **Show Debug Lines**: Displays trend zones and breakout thresholds - **Intensity Smoothing Period (8)**: Controls signal responsiveness vs stability 📚 **EDUCATIONAL VALUE** This indicator serves as an excellent learning tool for understanding: **Momentum Analysis Concepts:** - How dual-timeframe EMA analysis reveals trend structure - The relationship between volatility and trend confirmation - Angular measurement techniques for trend strength assessment **Advanced Pine Script Techniques:** - Multi-level gradient rendering using fill() functions - Dynamic color saturation based on calculated intensity - Sophisticated fade effect systems using historical arrays - Professional signal visualization with multi-layer plotshape **Market Psychology:** - How momentum builds and dissipates in trending markets - Visual representation of market conviction through color intensity - The relationship between breakout patterns and momentum confirmation ⚠️ **IMPORTANT NOTES** **Analysis Guidelines:** - Use on multiple timeframes for comprehensive momentum assessment - Combine with support/resistance levels for enhanced flow initiation accuracy - Consider overall market context when interpreting directional moves **Important Notes:** - Disable debug features for optimal chart performance - Default settings are optimized for most market conditions **Signal Interpretation:** - Pulse signals indicate potential flow reversal points, not guaranteed outcomes - Higher intensity signals generally show better momentum expansion reliability - Always practice proper risk management regardless of directional move strength ⚠️ **Limitations** 1. **Backtesting Limitations** This indicator is not a strategy and cannot perform official backtesting on TradingView's engine. Pulse signals are visual cues only, not verified historical trades. 2. **Regression Band and ATG Filter Inherent Lag** Linear regression bands are calculated from past data, creating natural lag. The dual-timeframe EMA analysis (21/55) also requires sufficient data for trend establishment. 3. **High Intensity Threshold May Miss Signals** The 75% intensity requirement filters for premium signals but may miss moderate opportunities. In low-volatility periods, pulse signals may become infrequent. 4. **Single Indicator Dependency Risk** Momentum Contour Pulse works best when combined with support/resistance analysis. Relying solely on pulse signals without market context may reduce effectiveness. 5. **Parameter Sensitivity** Modifying ATG filter settings or intensity thresholds should be done carefully. Excessive sensitivity may produce false signals; excessive filtering may miss valid setups. 🎓 **TECHNICAL METHODOLOGY** The indicator employs a sophisticated multi-step process: 1. **Flow Analysis**: Calculates dual-timeframe EMA separation and converts to angular measurements 2. **Threshold Adaptation**: Dynamically adjusts trend strength requirements based on historical volatility 3. **Breakout Detection**: Identifies price movements beyond adaptive volatility bands 4. **Intensity Calculation**: Normalizes momentum strength to 0-1 range with smoothing 5. **Visual Rendering**: Applies 20-level gradient system with dynamic transparency 6. **Signal Generation**: Filters for trend changes meeting maximum intensity criteria **Core Algorithm:** flowSeparation = math.atan(flowFast_ATG - flowSlow_ATG) * 180 / math.pi - Converts dual-timeframe EMA separation into precise angular momentum measurement, enabling topographic-style visualization of market flow intensity. ! (i.imgur.com) 🎨 **Visual Features Showcase** **Multi-Layer Contour Visualization in Action** **Dynamic Gradient Bands:** Watch how the 20-level gradient system creates topographic-style momentum maps. The **emerald upper contours** represent bullish flow zones, while **violet lower contours** indicate bearish pressure areas. Notice how band intensity **glows brighter** during strong momentum phases and **fades** during consolidation. **Precision Pulse Signal:** The **🟢 green pulse** (left side) demonstrates perfect trend reversal detection at the momentum flow initiation point. The multi-layer glow effect creates professional-grade signal visualization that stands out without cluttering the chart. **Adaptive Band Expansion:** Observe how contour bands dynamically **expand during volatility** and **contract during calm periods**, automatically adjusting to market conditions using ATR-based calculations. 📊 **What You're Seeing:** • **Emerald Glow Zones** → Bullish momentum dominance • **Violet Flow Areas** → Bearish pressure regions • **Gradient Intensity** → Real-time momentum strength • **Pulse Signals** → High-conviction reversal points • **Smooth Transitions** → Advanced fade effect system ✅ Usage Disclaimer Momentum Contour Pulse is a visual analytics tool designed for educational and informational purposes only. It is not financial advice, nor should its signals be interpreted as trading recommendations. Users are solely responsible for their own trading decisions. Always practice appropriate risk management and consult with a licensed financial professional when necessary. The creator of this tool assumes no liability for any financial losses resulting from its use.
Pine Script® indicator
by ApexLegion
FX 2025 - Triple EMA Entrada y Cierre ÚnicaCruce de emas 9/21/50, se recomienda combinar con los indicadores de volumen y macd EMA 9: Represents very short-term price movement. EMA 21: Smoother and shows short-term trend. EMA 50: Reflects the medium-term trend. Common signals: Bullish crossover: When the EMA 9 crosses above the EMA 21 (and preferably also the EMA 50), it’s seen as a buy signal. Bearish crossover: When the EMA 9 crosses below the EMA 21 or 50, it may signal a sell or correction.
Pine Script® indicator
by DOLLARDRUM
RS Triple MA Confluence Signal (Lower Pane)This indicator outputs a binary signal (1 or 0) based on triple moving average confluence of an asset’s relative strength vs a benchmark (e.g., SPY, BTC, etc). ✅ A value of 1 indicates full confluence, where the asset's relative strength is above three customizable moving averages (short, medium, and long). ❌ A value of 0 indicates confluence is off. This version is designed to be used in a lower pane for: Quick visual scanning Dashboard-style layouts Systematic filtering or alerting Pairs perfectly with the main overlay tool: 👉 Relative Strength Triple MA Confluence Use that version for candle coloring and price-level signals, and this version for clean signal tracking and screening support.
Pine Script® indicator
by kondor_trades
Daily 10, 50, 150, 200 DMAIrrespective of the Chart, i.e be it weekly or monthly DMA will be displayed on Daily Values. Do note that On a weekly chart, this gives you the DMA value from only one daily candle per week, usually Friday’s close. So if a DMA crossover (say, 10-DMA crossing 50-DMA) actually happens on Wednesday, you won’t see that reflected until Friday's value is displayed on the weekly chart. That causes crossover dates to appear wrong or delayed.
Pine Script® indicator
by attasseril
Double EMA + Ma Pullback by vimel🧠 Combined Double EMA + MA Pullback Strategy This indicator merges two popular trend-following and pullback trading concepts into a single, powerful tool: 🔹 1. Double EMA Pullback Logic Uses two EMAs (default 20 & 50) to define trend direction. Buy Signal: Triggered when price crosses above the shorter EMA and is above the longer EMA. Sell Signal: Triggered when price crosses below the shorter EMA and is below the longer EMA. Ideal for momentum-based trend continuation setups. 🔸 2. MA Cloud Pullback Strategy Uses three EMAs to form a dynamic cloud zone. Cloud Buy: Price dips into the cloud (pullback) and breaks out upward with bullish momentum. Cloud Sell: Price rallies into the cloud and breaks down with bearish momentum. Additional filters: Candle body % strength (momentum validation). Historical interaction with cloud (bar_limit lookback). Designed to catch pullbacks within strong trends. 📈 Visuals EMA lines and dynamic cloud with color fill. Clear Buy and Sell markers for both systems: D Buy / D Sell: Double EMA Pullback. Buy / Sell: MA Cloud Pullback. ⚙️ Inputs Fully customizable EMA lengths and sources. Toggle each EMA independently. Adjust candle strength % and backstep limit for fine-tuning entries. 📣 Ideal For Trend traders who want both momentum and pullback confirmation. Works well in strong directional markets (crypto, forex, indices). Can be combined with volume or higher timeframe filters for added precision.
Pine Script® indicator
by vinothsridharpj
MA Cross MTF Alert (Miu)This script extends the classic moving average crossover strategy with support for up to 8 user-defined symbols across 4 custom timeframes, combined with a visual and alert system designed for traders who monitor multiple assets simultaneously. Unlike traditional MA crossover tools, this script enables traders to receive real-time alerts for crossovers across multiple assets and timeframes, even when the script is not actively displayed on the chart — ideal for passive monitoring in multi-asset strategies. What it does: This script calculates two customizable moving averages (SMA or EMA) for each selected symbol and timeframe. It then tracks crossover events: - Bullish crossover when the fast MA crosses above the slow MA - Bearish crossunder when the fast MA crosses below the slow MA On the chart, it also displays the crossover signals for the current symbol and timeframe using color-coded cross icons. Key features: - Select SMA or EMA type for both moving averages - Customize MA lengths and colors - Works with any asset and timeframe - Alerts include symbol and timeframe info for easy identification How to use: 1) Add the indicator to your chart. 2) Choose the moving average type and lengths. 3) Enable/disable any of the 8 symbols and 4 timeframes. 4) Set up TradingView alerts by clicking “Create Alert” and selecting one of the alert() calls. 5) You will receive a message like: BTC (1h) | MA Crossover ▲ or ETH (15m) | MA Crossunder ▼ Technical note: This script uses request.security() to retrieve moving average values from up to 8 different symbols and 4 different timeframes in real time. Feel free to leave your feedback or suggestions in the comments section below. Enjoy!
Pine Script® indicator
by fabianomiu
Pierre's H4 EMA/MA Compression Strategy (BTC)Pierre's logic and trading strategy from the X post and its related threads. The post focuses on Bitcoin (BTC) price action on a 4-hour (H4) chart, using Exponential Moving Averages (EMAs) and Moving Averages (MAs) to identify a potential "EMA/MA compression" scenario, which is a key part of his analysis. Summary of Pierre's Logic Pierre is analyzing Bitcoin's price movement on the H4 timeframe, focusing on a technical pattern he calls "EMA/MA compression." This concept is central to his analysis and involves the interaction of key moving averages (H4 100 MA, H4 200 EMA, and H4 300 MA) to predict price behavior. Here's the breakdown of his logic: EMA/MA Compression Concept: Pierre describes "EMA/MA compression" as a scenario where the price consolidates around key moving averages, leading to a tightening of volatility before a breakout or breakdown. In this case, the H4 100 MA, H4 200 EMA, and H4 300 MA are the critical levels to watch. These moving averages act as dynamic support/resistance levels, and their behavior (break, hold, or flip) dictates the trend direction. He notes that this compression often follows a cycle: EMA/MA compression → Trend → Gap Fills → Repeat. This cycle suggests that after a compression phase, the price tends to trend, fill any price gaps, and then return to another compression phase. Key Levels and Conditions for a Bullish Scenario: H4 100 MA: Must break or flip to the upside. A break above this level signals bullish momentum, while a failure to hold above it (a "flip") invalidates the bullish case. H4 200 EMA: Acts as an "intermediary" level that must hold during pullbacks. If this level holds, it supports the bullish structure. H4 300 MA: A critical support level. It must hold to keep the bullish scenario intact. If the price loses this level (and it flips to resistance), the bullish outlook is invalidated. Pierre mentions that after the price breaks the H4 100 MA, it should aim to fill gaps between 109.5 and 110.5 (likely in thousands, so $109,500–$110,500). If the H4 200 EMA holds, the price might pull back to the H4 300 MA, where it could consolidate further before continuing the trend. Invalidation Scenarios: The bullish scenario is invalidated if: The H4 100 MA is broken and flips to resistance (i.e., price closes below it after initially breaking above). The H4 300 MA is lost and flips to resistance (i.e., price closes below it and fails to reclaim it). Current Market Context: Pierre notes a "nice bounce" in BTC's price, bringing it back into the compression zone. The price is currently fighting a key area on lower timeframes (LTF), likely referring to shorter timeframes like H1 or M15. He mentions that all gaps have been filled for now (referencing the cycle of gap fills), which aligns with his expectation of reduced volatility as the price enters another compression phase. Historical Context and Consistency: Pierre has been tracking this scenario since the H4 100 MA break, as shared in his group @TheHavenCrypto . He references notes from Monday (likely June 2, 2025, as the post is from June 6), indicating that his analysis has been consistent over the week. In a follow-up post, he reflects on a recent trade where he took partial profits on the bounce but couldn’t fully capitalize on the move due to being on his phone and managing only a fraction of his intended position size near the H4 300 MA (for BTC) and H4 200 EMA (for ETH). Pierre's Trading Strategy Based on the post and its context, Pierre’s trading strategy revolves around the EMA/MA compression framework. Here’s how he approaches trades: Setup Identification: Pierre identifies setups using the H4 timeframe, focusing on the interaction of the H4 100 MA, H4 200 EMA, and H4 300 MA. He looks for a "compression" phase where the price consolidates around these moving averages, signaling a potential breakout or breakdown. In this case, the price breaking the H4 100 MA to the upside was his initial signal for a bullish setup. Entry Points: Pierre likely entered a long position (buy) near the H4 300 MA or H4 200 EMA during the recent bounce, as he mentions taking partial profits on the move. He prefers entering after a pullback to these key levels (e.g., H4 200 EMA or H4 300 MA) as long as they hold as support. For example, in Thread 1 (Post 1930270942871118081), he shares a chart showing a long entry near the H4 300 MA with an upside target near 110,000–111,000. Target Setting: His primary target after the H4 100 MA break is to fill gaps between $109,500 and $110,500. If the price reaches these levels and the H4 200 EMA holds, he expects a potential pullback to the H4 300 MA, followed by another leg up (as part of the trend phase in his cycle). Risk Management: Pierre sets clear invalidation levels: A close below the H4 100 MA after breaking above it. A close below the H4 300 MA with a failure to reclaim it. He takes partial profits on bounces, as seen in his follow-up post where he mentions securing gains but not fully capitalizing on the move due to limited position size. Position Sizing and Execution: Pierre mentions being limited by trading from his phone, which restricted his position size. This suggests he typically scales into trades with a planned size but adjusts based on execution conditions. He also notes going "AFK for the weekend" after taking profits, indicating a disciplined approach to stepping away from the market when not actively monitoring. Cycle-Based Trading: His strategy follows the cycle of EMA/MA compression → Trend → Gap Fills → Repeat. After the gaps are filled, he expects volatility to tighten (another compression phase), which could set up the next trade. Key Takeaways for Traders Focus on Key Levels: Pierre’s strategy hinges on the H4 100 MA, H4 200 EMA, and H4 300 MA. These levels are used to confirm trends, identify entries, and set invalidation points. Patience for Compression: He waits for the price to enter a compression phase (tight consolidation around MAs) before expecting a breakout or breakdown. Gap-Filling as a Target: Pierre uses price gaps (e.g., $109,500–$110,500) as targets, aligning with the market’s tendency to fill these gaps (as noted in the related web result from investing.com about CME gaps). Risk Management: He has clear invalidation rules and takes partial profits to lock in gains while letting the trade play out. Cycle Awareness: His trades are part of a broader cycle (compression → trend → gap fill → repeat), which helps him anticipate market behavior. Additional Context from Related Threads Thread 1 (June 4–June 6): Pierre’s earlier posts (e.g., Post 1930270942871118081) show historical examples of EMA/MA compression leading to trends and gap fills, reinforcing his current analysis. He also shares a chart with a potential upside target of $110,000–$111,000 if the H4 300 MA holds. Thread 2 (June 3): Pierre mentions a Daily (D1) timeframe analysis where the D1 100 MA and D1 200 EMA align with range lows, suggesting a potential "wet dream swing long opportunity" if the price holds these levels. This indicates he’s also considering higher timeframes for confirmation. Thread 3 (May 27): Pierre’s earlier analysis highlights similar concepts (e.g., H4 100 MA break, H4 200 EMA hold), showing consistency in his approach over time. Conclusion Pierre’s logic is rooted in technical analysis, specifically the interaction of moving averages on the H4 timeframe to identify "EMA/MA compression" setups. His strategy involves buying on pullbacks to key support levels (H4 200 EMA, H4 300 MA) after a breakout (H4 100 MA), targeting gap fills ($109,500–$110,500), and managing risk with clear invalidation levels. He follows a cyclical approach to trading, expecting periods of compression, trending, and gap-filling to repeat, which guides his entries, exits, and overall market outlook.
Pine Script® strategy
by AAAAAA2020
Relative Strength Triple MA ConfluenceThis tool highlights moments of strong outperformance based on three customizable moving averages of an asset's relative strength vs a benchmark (SPY, BTC, etc). ✅ Green candles + triangle-up icon appear when relative strength is above all 3 MAs (short, medium, long) ❌ Red triangle-down appears when full confluence is lost 🔧 Fully customizable MA types (EMA or SMA), lengths, and benchmark Ideal for traders seeking high-conviction confirmation based on stacked RS strength.
Pine Script® indicator
by kondor_trades
3-SMA/EMA Ribbon### 3-MA Ribbon (EMA / SMA Switchable) **What it is** The 3-MA Ribbon overlays three configurable moving averages (Fast, Mid, Slow) and colours the space between them to show both *trend strength* and *trend clarity* at a glance. A single dropdown lets you choose whether those MAs are **EMAs** (react faster) or **SMAs** (smoother). --- #### How the colour logic works | MA order (Fast > Mid > Slow) | Ribbon | Meaning | | ---------------------------- | --------------------------------------------------------------------------------------------------------------------------------------------------------------- | -------------------- | | **Fast > Mid > Slow** | **Vivid Green** | Strong bullish stack | | **Fast < Mid < Slow** | **Vivid Red** | Strong bearish stack | | Any other order | Upper gap is soft green/red if the *upper* MA is above/below the *lower* one; lower gap is evaluated separately. Mixed colours = indecision / transition phase. | | Opacity is lower (more solid) when the stack is perfect, higher (more transparent) when it’s mixed, so you instantly see how clean the trend structure is. --- #### Visual cues * **Fast MA** – dotted line (circles) * **Mid MA** – dashed-look (crosses) * **Slow MA** – solid line All three line colours are separately customisable and are chosen to stay readable over both red and green fills. Tiny ▲/▼ markers optionally call out the exact bar where a full bullish or bearish stack first appears. --- #### Inputs * **Moving-average type** – *EMA* or *SMA* * **Fast / Mid / Slow lengths** – default 21 / 50 / 200 * **Ribbon colours** – bullish, bearish, neutral * **Opacity (stacked / mixed)** – adjust how strong the fills appear * **Line colours** – fast, mid, slow --- #### Typical uses 1. **Trend confirmation** – Trade only when the ribbon is vivid green (long) or red (short) to filter whipsaws. 2. **Early warning** – Mixed fills flag potential transitions before a full MA cross completes. 3. **Dynamic S/R** – Each MA can act as a moving support or resistance level. 4. **Multi-time-frame stacking** – Apply the ribbon to higher TFs (e.g., 4 h) while trading lower ones for structural bias. --- #### Tips * Short-term traders might prefer 9-21-55 lengths; long-term swing traders often use 20-50-200. * If price chops sideways, the gaps will flip soft green/red frequently—treat this as a signal to stay patient. * Combine with volume or momentum oscillators for added confirmation. --- > **Disclaimer:** This script is for educational purposes only and should not be taken as financial advice. Always test thoroughly in a demo environment and use proper risk management.
Pine Script® indicator
by Frey_Crypto
3x MTF EMA + VWAP + Daily CPR3x MTF EMA + VWAP + Daily CPR A Complete Trend & Structure Toolkit for Informed Decisions This all-in-one indicator blends the power of multi-timeframe analysis, volume-weighted price action, and daily structure zones to give you high-confidence entries and real-time market context. 📌 Key Features: ✅ 3x Multi-Timeframe EMAs Plot up to three EMAs from any timeframe (e.g., 15m, 1H, Daily) on your current chart. Each EMA comes with: Custom length Custom source (close, hl2, etc.) Independent timeframe Color and visibility toggles Use them for dynamic support/resistance, trend direction, and confluence zones. ✅ VWAP (Volume-Weighted Average Price) Industry-standard intraday VWAP to track the true average traded price. Essential for: Volume-weighted mean reversion Institutional support/resistance Intraday directional bias Auto-hides on higher timeframes for precision. ✅ Daily CPR (Central Pivot Range) Maps out key market structure levels for the day: Central Pivot (P) Top Central (TC) Bottom Central (BC) Widely used by pros for reversal zones, trend continuation, and opening range setups. 🎯 Why Use This Script? Whether you're scalping intraday or swinging higher timeframes, this indicator gives you: Instant clarity on market structure High-probability trend confluence Reliable institutional price zones Perfect for SMC, ICT, VWAP traders, or anyone seeking an edge with precision levels. ⚙️ Fully Customizable Toggle visibility for each layer (EMA, VWAP, CPR) Adjust EMA sources, lengths, timeframes Lightweight & optimized for performance [/
Pine Script® indicator
by olast1211
AWR Pearsons R & LR Oscillator MTF1. Overview This indicator is designed to analyze the correlation between a price series (or any custom indicator) and the bar index using Pearson’s correlation coefficient. It performs multiple linear regressions over shifted periods and then aggregates these results to create an oscillator. In addition, it integrates a multi-timeframe (MTF) analysis by retrieving the same calculations on 3 different time intervals, providing a more comprehensive view of the trend evolution. 2. User Parameters The indicator offers several configurable parameters that allow the user to adjust both the calculations and the display: Source (Linear Regression): The data source on which the regressions are applied (by default, the closing price). Number of Linear Regressions (numOfLinReg): Allows choosing the number of correlation calculations (up to 10) to be carried out on different shifted periods. Start Period (startPeriod) and Period Increment (periodIncrement): These parameters define the reference window for each regression. The calculation starts with a base period and then increases with each regression by a fixed increment, creating several time windows to assess the relationship between price evolution and time progression. Deviation (def_deviation): Although defined, this parameter is intended to control the sensitivity of the calculations. It can be used in further developments of the indicator. For Multi Time Frames analysis, three additional timeframes are provided through inputs in addition of the current period: Sum up : Timeframe 1 = current Timeframe 2 = 30-minute (default settings) Timeframe 3 = 1-hour (default settings) Timeframe 4 = 4-hour (default settings) These different timeframes allow you to obtain consistent or divergent signals over multiple resolutions, thereby enhancing the confidence of trading decisions. 3. Calculation Logic At the core of the indicator is the f_calcConditions() function, which performs several essential tasks: Calculating Pearson's Coefficients For each linear regression, the script uses ta.correlation() to measure the correlation between the chosen source (for example, the closing price) and the chronological index (bar_index). Up to 10 coefficients are computed over shifted windows, providing an evolving view of the linear relationship over different intervals. Averaging the Results Once the coefficients are calculated, they are stored in an array and averaged to produce a global correlation value called avgPR_local. Applying Moving Averages The resulting average is then smoothed using several moving averages (SMA): A short-term SMA (period of 14), An intermediate SMA (period of 100), A long-term SMA (period of 400). These moving averages help to highlight the underlying trend of the oscillator by indicating the direction in which the correlation is moving. Defining Trading Conditions Based on avgPR_local and its associated SMAs, multiple conditions are set to generate buy or sell signals: Simple SMA Conditions : Small signal : Light blue below bar signal : When the averaged coefficients lie between -1 and -0.63, are above the short-term SMA (14 periods), and are increasing, it may indicate a bullish dynamic (buy signal). Orange above bar signal : Conversely, when the value is higher (between 0.63 and 1) and below its SMA (14 periods), and are decreasing the trend is considered bearish (sell signal). Medium signal : Dark green signal When the averaged coefficients lie between -1 and -0.45, are above the short-term SMA (14 periods), and are increasing, and also the average 100 is increasing. It may indicate a bullish dynamic (buy signal). Light red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 is decreasing. It may indicate a bearish dynamic(sell signal). Light green signal : When the averaged coefficients lie between -1 and -0.15, are above the short-term SMA (14 periods), and are increasing, and also the average 100 & 400 is increasing . It may indicate a bullish dynamic (buy signal). Dark red signal : Conversely, when the value is higher (between 0.45 and 1) and below its SMA (14 periods), the trend and are decreasing, and also the average 100 & 400 is decreasing. It may indicate a bearish dynamic(sell signal). These additional conditions further refine the signals by verifying the consistency of the movement over longer periods. They check that the trends from the respective averages (intermediate and long-term) are in line with the direction indicated by the initial moving average. These conditions are designed to capture moments when the oscillator's dynamics change, which can be interpreted as opportunities to enter or exit a trade. 4. Multi-Timeframes and Display One of the main strengths of this indicator is its multi-timeframe approach. This offers several advantages: Comparative Analysis: Compare short-term dynamics with broader trends. Enhanced Signal Reliability: A signal confirmed across multiple timeframes has a higher probability of success. To visually highlight these signals on the chart, the indicator uses the plotchar() function with distinct symbols for each timeframe: Current Timeframe: Signals are represented by the character "1" 30-Minute Timeframe: Displayed with the character "2". 1-Hour Timeframe: Displayed with the character "3". 4-Hour Timeframe: Displayed with the character "4". The colors used are various shades of green for buy signals and shades of red/orange for sell signals, making it easy to distinguish between the different alerts. 5. Integrated Alerts To avoid missing any trading opportunities, the indicator includes an alert condition via the alertcondition() function. This alert is triggered if any buy or sell signal is generated on any of the analyzed timeframes. The message "MTF valide" indicates that multiple timeframes are confirming the signal, enabling more informed decision-making. 6. How to Use This Indicator Installation and Configuration: Copy the script into the TradingView Pine Script editor and add it to your chart. The default parameters can be tuned according to market behavior or personal preferences regarding sensitivity and responsiveness. Interpreting the Signals: Watch for the symbols on the chart corresponding to each timeframe. A buy signal appears as a specific symbol below the bar (indicating a bullish condition based on a rising or less negative correlation), while a sell signal appears above the bar. Multi-Timeframe Analysis: By comparing signals across timeframes, you can filter out false signals. For example, if the short-term timeframe shows a buy signal but the 4-hour timeframe indicates a bearish trend, you may need to reassess your position. Adjusting the Settings: Depending on the asset type or market volatility, you might need to tweak the periods (startPeriod, periodIncrement) or the number of linear regressions to generate signals that better align with the price dynamics. Using Alerts: Activate the built-in alert feature so that TradingView notifies you as soon as a multi-timeframe signal is detected. This ensures you stay informed even if you are not continuously monitoring the chart. In Conclusion The AWR Pearsons R & LR Oscillator MTF is a powerful tool for traders seeking a detailed understanding of market trends by combining statistical rigor (via Pearson's correlation coefficient) with a multi-timeframe approach. It is capable of generating clear entry and exit signals, visualized with specific symbols and colors depending on the timeframe. By adjusting the parameters to match your trading strategy and leveraging the alert system, you now have a robust instrument for making well-informed market decisions. Feel free to dive deeper into each component and experiment with different configurations to see how the oscillator integrates with your overall technical analysis strategy. Enjoy exploring its potential and refining your trading approach!
Pine Script® indicator
by AlwwAl