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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®指標
由attasseril提供
Macro Alignment SummaryThis indicator provides a simple, color-coded summary of macro trend alignment across three benchmark assets. It calculates how many of the selected benchmarks are currently trading above a specified moving average (configurable type, length, and timeframe). The result is plotted as a score from 0 to 3: 🔴 0: No benchmarks aligned 🟠 1: Weak alignment 🟡 2: Partial alignment 🟢 3: Full macro alignment 🔧 Fully customizable: Choose any 3 benchmark symbols (e.g., BTC, ETH, QQQ) Select timeframe (e.g., daily, weekly) Pick MA type (SMA or EMA) and length (e.g., 21, 50, 200) Ideal for filtering trades based on broader market strength or for use in a macro trend dashboard alongside entry signals.
Pine Script®指標
由kondor_trades提供
Pullback Candle (Bullish & Bearish, No EMA)🔍 Purpose This indicator detects simple pullback reversal patterns based on price action and swing highs/lows — without any moving average or trend filters. It highlights: Bullish pullbacks (potential bounce/long setups) Bearish pullbacks (potential rejection/short setups) 📈 Bullish Pullback Criteria Three-bar pattern: Bar 3: Highest close Bar 2: Lower close Bar 1: Even lower close Current bar closes above previous bar (bullish reversal) One of the last two candles is the lowest low of the past 6 bars (swing low) 📍 Result: A small green cross is plotted below the bar, and the bar is colored green. 📉 Bearish Pullback Criteria Three-bar pattern: Bar 3: Lowest close Bar 2: Higher close Bar 1: Even higher close Current bar closes below previous bar (bearish reversal) One of the last two candles is the highest high of the past 10 bars (swing high) 📍 Result: A small red cross is plotted above the bar, and the bar is colored red. 🔔 Alerts One alert condition each for bullish and bearish pullback detection. Can be used to trigger TradingView alerts. 🛠️ Customization No inputs — fully automated logic Clean, minimal, and fast Can be extended with labels, alert sounds, or signals
Pine Script®指標
由najirshad7提供
LyroMAsLibrary "LyroMAs" Custom Dynamic MA's that allow a dynamic calculation beginning from the first bar\ use getDynamicLength(maxLength) =>\\tmath.min(maxLength, bar_index + 1) \as length SMA(sourceData, maxLength)   Dynamic SMA   Parameters:      sourceData (float)      maxLength (int) EMA(src, length)   Dynamic EMA   Parameters:      src (float)      length (int) DEMA(src, length)   Dynamic DEMA   Parameters:      src (float)      length (int) TEMA(src, length)   Dynamic TEMA   Parameters:      src (float)      length (int) WMA(src, length)   Dynamic WMA   Parameters:      src (float)      length (int) HMA(src, length)   Dynamic HMA   Parameters:      src (float)      length (int) VWMA(src, volsrc, length)   Dynamic VWMA   Parameters:      src (float)      volsrc (float)      length (int) SMMA(src, length)   Dynamic SMMA   Parameters:      src (float)      length (int) LSMA(src, length, offset)   Dynamic LSMA   Parameters:      src (float)      length (int)      offset (int) RMA(src, length)   Dynamic RMA   Parameters:      src (float)      length (int) ALMA(src, length, offset_sigma, sigma)   Dynamic ALMA   Parameters:      src (float)      length (int)      offset_sigma (float)      sigma (float) ZLSMA(src, length)   Dynamic Zlsma   Parameters:      src (float)      length (int) Thank you to @QuantraSystems for the dynamic codes.
Pine Script®腳本庫
由LyroRS提供
Volume with High/Low ColoringThe "Volume with High/Low Coloring" indicator is designed to help traders visually differentiate between high, low, and normal volume bars relative to recent historical averages. By applying dynamic color coding and customizable thresholds, this indicator enhances volume analysis and improves your ability to spot key moments of accumulation, distribution, or market inactivity. High Volume: A bar is marked as high volume when it exceeds the average by a customizable multiplier (default is 1.5×) . Low Volume: A bar is considered low volume when it falls below the average by another multiplier (default is 0.5×) . Normal Volume: All bars that fall between the high and low thresholds. Each category is displayed in a different user-selectable color, providing instant visual feedback for volume dynamics. Customizable Colors: High Volume: Light Green (default: semi-transparent green) Low Volume: Light Blue (default: semi-transparent blue) Normal Volume: Yellow (default: semi-transparent yellow) Average Volume Line: Gray (optional reference line)
Pine Script®指標
由bestindicatorsever提供
EMA50 Crossover Momentum Strategy v2I have observed such a phenomenon: when the stock price crosses EMA50 from a low point, its potential energy usually supports the stock price to continue to move to the same distance as before the crossing. For example, when the stock price is below EMA50, the lowest point is 5, and when it crosses the EMA50 of the previous trading day (because the EMA50 of the current trading day is changing, in order to simplify the calculation, take the EMA50 of the previous trading day), the price is 10, then the stock price is likely to continue to rise to 15.
Pine Script®指標
由rhotov提供
Parabolic Run Detector (With Weighted Caution)This indicator, Parabolic Run Detector (With Weighted Caution), is designed to help traders identify moments of strong directional movement (I call it a run) in asset prices, especially those that exhibit a parabolic character. It uses a combination of log-scale price slopes, RSI momentum, and Ichimoku cloud structure (via the very useful Tenkan-Kijun "clamp") to evaluate whether a price move has both strength and sustainability. When certain thresholds are met, it marks the beginning of a potential run with a green circle below the price chart, helping traders spot entries early in high-momentum conditions. In addition to identifying the start of a run, the indicator also looks for end-of-run caution signals. These are marked with orange circles, indicating potential exhaustion or overextension. The caution logic doesn’t require all conditions to trigger at once — instead, it uses a weighted scoring system based on RSI extension, slowing price momentum (second derivative), and the widening of the Ichimoku clamp. If these conditions cross a confidence threshold within a set number of bars after a run begins, the caution signal fires. This allows traders to stay alert to reversal or consolidation risks without being prematurely spooked by noise. So, choose to ignore them, but they are there for you to assess. You can fine-tune sensitivity with a set of adjustable parameters, including minimum slope values, RSI reversion awareness (bias weight), clamp thresholds, and spacing between signals. So play around to see what works best for you! For advanced users, the option to toggle between static or dynamically calculated RSI baselines and adapt Ichimoku settings for crypto vs. legacy markets adds another layer of contextual accuracy. Whether you're trading Bitcoin on a 4-hour chart or scanning equities on a daily timeframe, this tool helps bring clarity to trend acceleration and potential fatigue, all while minimizing visual clutter and giving you intuitive visual cues. Let me know what you think.
Pine Script®指標
由Powerslider提供
DCA Investment Tracker Pro [tradeviZion]DCA Investment Tracker Pro: Educational DCA Analysis Tool An educational indicator that helps analyze Dollar-Cost Averaging strategies by comparing actual performance with historical data calculations. --- 💡 Why I Created This Indicator As someone who practices Dollar-Cost Averaging, I was frustrated with constantly switching between spreadsheets, calculators, and charts just to understand how my investments were really performing. I wanted to see everything in one place - my actual performance, what I should expect based on historical data, and most importantly, visualize where my strategy could take me over the long term . What really motivated me was watching friends and family underestimate the incredible power of consistent investing. When Napoleon Bonaparte first learned about compound interest, he reportedly exclaimed "I wonder it has not swallowed the world" - and he was right! Yet most people can't visualize how their $500 monthly contributions today could become substantial wealth decades later. Traditional DCA tracking tools exist, but they share similar limitations: Require manual data entry and complex spreadsheets Use fixed assumptions that don't reflect real market behavior Can't show future projections overlaid on actual price charts Lose the visual context of what's happening in the market Make compound growth feel abstract rather than tangible I wanted to create something different - a tool that automatically analyzes real market history, detects volatility periods, and shows you both current performance AND educational projections based on historical patterns right on your TradingView charts. As Warren Buffett said: "Someone's sitting in the shade today because someone planted a tree a long time ago." This tool helps you visualize your financial tree growing over time. This isn't just another calculator - it's a visualization tool that makes the magic of compound growth impossible to ignore. --- 🎯 What This Indicator Does This educational indicator provides DCA analysis tools. Users can input investment scenarios to study: Theoretical Performance: Educational calculations based on historical return data Comparative Analysis: Study differences between actual and theoretical scenarios Historical Projections: Theoretical projections for educational analysis (not predictions) Performance Metrics: CAGR, ROI, and other analytical metrics for study Historical Analysis: Calculates historical return data for reference purposes --- 🚀 Key Features Volatility-Adjusted Historical Return Calculation Analyzes 3-20 years of actual price data for any symbol Automatically detects high-volatility stocks (meme stocks, growth stocks) Uses median returns for volatile stocks, standard CAGR for stable stocks Provides conservative estimates when extreme outlier years are detected Smart fallback to manual percentages when data insufficient Customizable Performance Dashboard Educational DCA performance analysis with compound growth calculations Customizable table sizing (Tiny to Huge text options) 9 positioning options (Top/Middle/Bottom + Left/Center/Right) Theme-adaptive colors (automatically adjusts to dark/light mode) Multiple display layout options Future Projection System Visual future growth projections Timeframe-aware calculations (Daily/Weekly/Monthly charts) 1-30 year projection options Shows projected portfolio value and total investment amounts Investment Insights Performance vs benchmark comparison ROI from initial investment tracking Monthly average return analysis Investment milestone alerts (25%, 50%, 100% gains) Contribution tracking and next milestone indicators --- 📊 Step-by-Step Setup Guide 1. Investment Settings 💰 Initial Investment: Enter your starting lump sum (e.g., $60,000) Monthly Contribution: Set your regular DCA amount (e.g., $500/month) Return Calculation: Choose "Auto (Stock History)" for real data or "Manual" for fixed % Historical Period: Select 3-20 years for auto calculations (default: 10 years) Start Year: When you began investing (e.g., 2020) Current Portfolio Value: Your actual portfolio worth today (e.g., $150,000) 2. Display Settings 📊 Table Sizes: Choose from Tiny, Small, Normal, Large, or Huge Table Positions: 9 options - Top/Middle/Bottom + Left/Center/Right Visibility Toggles: Show/hide Main Table and Stats Table independently 3. Future Projection 🔮 Enable Projections: Toggle on to see future growth visualization Projection Years: Set 1-30 years ahead for analysis Live Example - NASDAQ:META Analysis: Settings shown: $60K initial + $500/month + Auto calculation + 10-year history + 2020 start + $150K current value --- 🔬 Pine Script Code Examples Core DCA Calculations: // Calculate total invested over time months_elapsed = (year - start_year) * 12 + month - 1 total_invested = initial_investment + (monthly_contribution * months_elapsed) // Compound growth formula for initial investment theoretical_initial_growth = initial_investment * math.pow(1 + annual_return, years_elapsed) // Future Value of Annuity for monthly contributions monthly_rate = annual_return / 12 fv_contributions = monthly_contribution * ((math.pow(1 + monthly_rate, months_elapsed) - 1) / monthly_rate) // Total expected value theoretical_total = theoretical_initial_growth + fv_contributions Volatility Detection Logic: // Detect extreme years for volatility adjustment extreme_years = 0 for i = 1 to historical_years yearly_return = ((price_current / price_i_years_ago) - 1) * 100 if yearly_return > 100 or yearly_return < -50 extreme_years += 1 // Use median approach for high volatility stocks high_volatility = (extreme_years / historical_years) > 0.2 calculated_return = high_volatility ? median_of_returns : standard_cagr Performance Metrics: // Calculate key performance indicators absolute_gain = actual_value - total_invested total_return_pct = (absolute_gain / total_invested) * 100 roi_initial = ((actual_value - initial_investment) / initial_investment) * 100 cagr = (math.pow(actual_value / initial_investment, 1 / years_elapsed) - 1) * 100 --- 📊 Real-World Examples See the indicator in action across different investment types: Stable Index Investments: AMEX:SPY (SPDR S&P 500) - Shows steady compound growth with standard CAGR calculations Classic DCA success story: $60K initial + $500/month starting 2020. The indicator shows SPY's historical 10%+ returns, demonstrating how consistent broad market investing builds wealth over time. Notice the smooth theoretical growth line vs actual performance tracking. MIL:VUAA (Vanguard S&P 500 UCITS) - Shows both data limitation and solution approaches Data limitation example: VUAA shows "Manual (Auto Failed)" and "No Data" when default 10-year historical setting exceeds available data. The indicator gracefully falls back to manual percentage input while maintaining all DCA calculations and projections. MIL:VUAA (Vanguard S&P 500 UCITS) - European ETF with successful 5-year auto calculation Solution demonstration: By adjusting historical period to 5 years (matching available data), VUAA auto calculation works perfectly. Shows how users can optimize settings for newer assets. European market exposure with EUR denomination, demonstrating DCA effectiveness across different markets and currencies. NYSE:BRK.B (Berkshire Hathaway) - Quality value investment with Warren Buffett's proven track record Value investing approach: Berkshire Hathaway's legendary performance through DCA lens. The indicator demonstrates how quality companies compound wealth over decades. Lower volatility than tech stocks = standard CAGR calculations used. High-Volatility Growth Stocks: NASDAQ:NVDA (NVIDIA Corporation) - Demonstrates volatility-adjusted calculations for extreme price swings High-volatility example: NVIDIA's explosive AI boom creates extreme years that trigger volatility detection. The indicator automatically switches to "Median (High Vol): 50%" calculations for conservative projections, protecting against unrealistic future estimates based on outlier performance periods. NASDAQ:TSLA (Tesla) - Shows how 10-year analysis can stabilize volatile tech stocks Stable long-term growth: Despite Tesla's reputation for volatility, the 10-year historical analysis (34.8% CAGR) shows consistent enough performance that volatility detection doesn't trigger. Demonstrates how longer timeframes can smooth out extreme periods for more reliable projections. NASDAQ:META (Meta Platforms) - Shows stable tech stock analysis using standard CAGR calculations Tech stock with stable growth: Despite being a tech stock and experiencing the 2022 crash, META's 10-year history shows consistent enough performance (23.98% CAGR) that volatility detection doesn't trigger. The indicator uses standard CAGR calculations, demonstrating how not all tech stocks require conservative median adjustments. Notice how the indicator automatically detects high-volatility periods and switches to median-based calculations for more conservative projections, while stable investments use standard CAGR methods. --- 📈 Performance Metrics Explained Current Portfolio Value: Your actual investment worth today Expected Value: What you should have based on historical returns (Auto) or your target return (Manual) Total Invested: Your actual money invested (initial + all monthly contributions) Total Gains/Loss: Absolute dollar difference between current value and total invested Total Return %: Percentage gain/loss on your total invested amount ROI from Initial Investment: How your starting lump sum has performed CAGR: Compound Annual Growth Rate of your initial investment (Note: This shows initial investment performance, not full DCA strategy) vs Benchmark: How you're performing compared to the expected returns --- ⚠️ Important Notes & Limitations Data Requirements: Auto mode requires sufficient historical data (minimum 3 years recommended) CAGR Limitation: CAGR calculation is based on initial investment growth only, not the complete DCA strategy Projection Accuracy: Future projections are theoretical and based on historical returns - actual results may vary Timeframe Support: Works ONLY on Daily (1D), Weekly (1W), and Monthly (1M) charts - no other timeframes supported Update Frequency: Update "Current Portfolio Value" regularly for accurate tracking --- 📚 Educational Use & Disclaimer This analysis tool can be applied to various stock and ETF charts for educational study of DCA mathematical concepts and historical performance patterns. Study Examples: Can be used with symbols like AMEX:SPY , NASDAQ:QQQ , AMEX:VTI , NASDAQ:AAPL , NASDAQ:MSFT , NASDAQ:GOOGL , NASDAQ:AMZN , NASDAQ:TSLA , NASDAQ:NVDA for learning purposes. EDUCATIONAL DISCLAIMER: This indicator is a study tool for analyzing Dollar-Cost Averaging strategies. It does not provide investment advice, trading signals, or guarantees. All calculations are theoretical examples for educational purposes only. Past performance does not predict future results. Users should conduct their own research and consult qualified financial professionals before making any investment decisions. --- © 2025 TradeVizion. All rights reserved.
Pine Script®指標
由TradeVizion提供
2
📊 Trend Table (EMA20/50) PROThis script displays a color-coded trend dashboard based on the relationship between the EMA 20 and EMA 50 moving averages across multiple timeframes: 🕐 1m, 5m, 15m, 1h, 4h. 📌 Features: ✅ Green = Bullish Trend (EMA20 > EMA50) ✅ Red = Bearish Trend (EMA20 < EMA50) 🎨 Fully customizable text and background color 📍 Selectable table position (left / center / right, top / bottom) 🔁 Auto-refreshes every few bars for real-time accuracy 📈 Use Case: Perfect as a multi-timeframe trend dashboard for scalpers and swing traders – ideal for XAUUSD, US30, NAS100 and more. Helps you instantly assess trend alignment across key timeframes.
Pine Script®指標
由intensegraphicdesigner提供
Combined ATR Bands + VWAP + Moving Averages🔥 Ultimate Trading Combo: ATR Bands + VWAP + Moving Averages This comprehensive indicator combines three powerful technical analysis tools in one clean interface: 📊 Features: • ATR Bands - Dynamic support/resistance levels with step-line styling • VWAP - Volume Weighted Average Price with orange dotted visualization • Moving Averages - 50, 100, 200 periods with customizable colors ⚙️ Customizable Settings: Toggle each component on/off independently Adjustable ATR periods and multipliers Multiple VWAP anchor periods (Session, Week, Month, Quarter, Year) Configurable MA sources and periods Custom colors and transparency levels 🎯 Perfect For: Day traders seeking dynamic support/resistance Swing traders using multiple timeframe analysis Anyone wanting clean, professional chart visualization 💡 Created with AI assistance (Claude Sonnet 4) Open source - feel free to modify and improve! 🔥 المؤشر الشامل: نطاقات ATR + VWAP + المتوسطات المتحركة هذا المؤشر الشامل يجمع ثلاث أدوات تحليل فني قوية في واجهة واحدة نظيفة: 📊 المميزات: • نطاقات ATR - مستويات دعم ومقاومة ديناميكية بتصميم خطوط متدرجة • VWAP - متوسط السعر المرجح بالحجم مع عرض نقطي برتقالي • المتوسطات المتحركة - فترات 50، 100، 200 مع ألوان قابلة للتخصيص ⚙️ إعدادات قابلة للتخصيص: تشغيل/إيقاف كل مكون بشكل مستقل فترات ومضاعفات ATR قابلة للتعديل فترات ربط VWAP متعددة (جلسة، أسبوع، شهر، ربع، سنة) مصادر وفترات MA قابلة للتكوين ألوان مخصصة ومستويات شفافية 🎯 مثالي لـ: المتداولين اليوميين الباحثين عن دعم/مقاومة ديناميكية متداولي التأرجح باستخدام تحليل الإطارات الزمنية المتعددة أي شخص يريد عرض مخططات نظيف ومهني 💡 تم إنشاؤه بمساعدة الذكاء الاصطناعي (Claude Sonnet 4) مفتوح المصدر - لا تتردد في التعديل والتحسين! #ATR #VWAP #MovingAverages #TechnicalAnalysis #Support #Resistance #DayTrading #SwingTrading #OpenSource #AI #تحليل_فني #دعم_مقاومة #متوسطات_متحركة #تداول_يومي
Pine Script®指標
由Redtoura提供
Momentum Breakout Option Buyer🎯 What it does: MOMENTUM BREAKOUT FOR OPTION BUYER # Detects momentum breakout zones # Confirms breakout with volume and volatility # Gives Buy signal only when the move is strong and fast — perfect for option buyers 🔧 Core Components: # Supertrend – to define the trend # RSI + EMA crossover – confirms strength # Breakout candle + Volume spike # ATR filter – confirms volatility is high enough to justify option buying ✅ Entry Criteria (Call Option): # Price above Supertrend # RSI > 60 and RSI > RSI EMA # Volume > 1.5 × average volume # ATR (last 5 candles) > minimum threshold (e.g., 1%) ❌ Exit / Stop Loss: # RSI drops below 50 or # Supertrend flips or # Target hit (e.g., 1.5x risk)
Pine Script®指標
由abhishekacharya000提供
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®指標
由AlwwAl提供
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®指標
由Frey_Crypto提供
Cluster Proximity Table: Price, EMA20 & SMA200Spot significant confluence points at a glance! This script generates a dynamic table indicating if Price, its 20-period Exponential Moving Average (EMA20), and 200-period Simple Moving Average (SMA200) are tightly clustered across four different timeframes (5m, 15m, 1H, Daily). A green "✅ Yes" means all three are within a customizable percentage of each other, highlighting areas of potential support/resistance or market equilibrium.
Pine Script®指標
由boravelli.sreeharsha提供