Inizia

Bande e canali

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 ------------------------------------------------------------------------------------
Indicatore Pine Script®
di meddymarkusvanhala
Relative Imbalance Flow Tracker🚀 RIFT: Relative Imbalance Flow Tracker A totally unique RSI envelope system that uses dual moving averages and color-coded dominance to show potential reversal zones before they happen. No standard Bollinger Bands. No gray confusion. Just clean, smart, visual logic. 🧠 How It Works RSI is calculated and optionally smoothed (RMA/EMA/SMA/WMA). Two RSI-based MAs are plotted: - Fast MA (e.g. 16) = reactive - Slow MA (e.g. 32) = steady Each MA gets its own envelope based on a % distance. If fast envelope dominates (outside the slow one), it lights up. Otherwise, they fade and cancel each other visually. 🎨 Color Logic 🔴 Upper Band (Red) = Overbought danger zone When fast upper > slow upper, it's a warning flare. 🟢 Lower Band (Green) = Oversold bounce zone When fast lower < slow lower, bulls may step in. 🟠 RSI Line Orange = Mixed signals RSI is between the two MAs—no one's in control. 🟢 - RSI Line Green = RSI > both MAs = strong momentum 🔴 - RSI Line Red = RSI < both MAs = bearish pressure 🔍 How to Read It - Red Band + Green RSI = uptrend stalling - Green Band + Red RSI = selloff slowing - No Fill = Envelopes overlapping, no edge - RSI flips from green/red to orange = tug-of-war ⚙️ Why It’s Useful - Gives early reversal clues before RSI tags extreme levels. - Filters out fakeouts by showing when RSI can’t reach the “target zone.” - Dynamic: adapts with trend strength and volatility via envelope width. - Fully customizable: lengths, smoothing, envelope %, colors, fills. 💡 Quick Visual Tips 🔴 - Red Band visible but RSI stalls? = Likely reversal. 🟢 - Green Band shows up and RSI flips green? = Go time. 🟠 - RSI turns orange + no fills? = Sit out or scalp light.
Indicatore Pine Script®
di Sherlock_MacGyver
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Indicatore Pine Script®
di ysramylady
1
ATR Bands PRO + Sweep Label + Divergence [MASTER]🔰 ATR Bands PRO + Liquidity Sweep & Divergence (RSI/MACD) ## 🔰 ATR Bands PRO + Liquidity Sweep & Divergence A powerful institutional-grade toolkit that combines advanced ATR band visualization, customizable stop bands, dynamic grid lines, real-time liquidity sweep detection, and built-in swing-point divergence signals (RSI/MACD) – all fully adjustable. **Key Features:** - **Multi-Timeframe ATR Bands:** Visualize ATR-based bands from any higher timeframe, fully customizable in color, width, style, and extension. - **Smart Stops & Grid:** Add stop bands and dynamic ATR grid lines with user control over appearance and step. - **Liquidity Sweep Detection:** Instantly see “Bull Sweep” or “Bear Sweep” labels every time price touches high/low liquidity sweeps from your chosen timeframe. - **Divergence Alerts (RSI/MACD):** Detect bullish or bearish divergence at swing highs/lows (on the main timeframe) – complete with highly visible, color-customizable labels. - **Professional, Non-Cluttered Visuals:** All labels and lines are managed with smart array handling – zero repaint, zero overlay clutter. **How to Use:** 1. Choose your ATR “base” timeframe and customize band/stop/grid appearance. 2. Pick the Liquidity Sweep timeframe (e.g., H1, H4, D1) for institutional swing levels. 3. Enable divergence detection (RSI or MACD) to reveal hidden reversal signals at market pivots. 4. Adjust label offsets and colors for maximum clarity on your chart. **Perfect for:** - Liquidity-driven scalping, swing, and positional strategies. - Spotting liquidity grabs, institutional sweeps, and “trap” price action. - Fast visual confirmation of potential reversal zones using built-in divergence signals. - Traders who demand high-performance, flexible visuals without chart clutter. --- **Credit:** Original logic inspired by RunStrat, AlgoAlpha, and custom adaptations by MILO888. --- *For educational and professional use. Test on your own symbol/timeframe before live trading. Enjoy an edge!*
Indicatore Pine Script®
di MILO888
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)
Indicatore Pine Script®
di RonaldenEstervoorhout
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.
Indicatore Pine Script®
di FEloner
Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed✨ Advanced MACD Pro (WhiteStone_Ibrahim) - T3 Themed ✨ Take your MACD analysis to the next level with the Advanced MACD Pro - T3 Themed indicator by WhiteStone_Ibrahim! This isn't just another MACD; it's a comprehensive toolkit packed with advanced features, unique T3 integration, and extensive customization options to provide deeper market insights. Whether you're a seasoned trader or just starting, this indicator offers a versatile and powerful way to analyze momentum, identify trends, and spot potential reversals. Key Features: Core MACD Functionality: Classic MACD Line: Calculated from customizable Fast and Slow EMAs using your chosen source (Close, Open, HLC3, etc.). Standard Signal Line: EMA of the MACD line, with adjustable length. Dynamic MACD Line Coloring: Automatically changes color based on whether it's above or below the zero line (positive/negative). Zero Line: Clearly plotted for reference. Enhanced MACD Histogram: Sophisticated Color Coding: The histogram isn't just positive or negative. It intelligently colors based on momentum strength and direction: Strong Bullish: MACD above signal, histogram increasing. Weakening Bullish: MACD above signal, histogram decreasing. Strong Bearish: MACD below signal, histogram decreasing. Weakening Bearish: MACD below signal, histogram increasing. Neutral: Default color for other conditions. Optional Histogram Smoothing: Smooth out the histogram noise using one of five different moving average types: SMA, EMA, WMA, RMA, or the advanced T3 (Tilson T3). Customize smoothing length and T3 vFactor. 🌟 Unique T3 Integration (T3 Themed): Extra T3 Signal Line (on MACD): An additional, fast-reacting T3 moving average calculated directly from the MACD line. This provides an alternative and often quicker signal. Customizable T3 length and vFactor. Dynamic Coloring: The T3 Signal Line changes color (bullish/bearish) based on its crossover with the MACD line, offering clear visual cues. T3 is also available as a smoothing option for the main histogram (see above). 🔍 Disagreement & Divergence Detection: Bar/Price Disagreement Markers: Highlights instances where the price bar's direction (e.g., a bullish candle) contradicts the current MACD momentum (e.g., MACD below its signal line). Visual markers (circles) appear above/below bars to draw attention to these potential early warnings or confirmations. Histogram Color Change on Disagreement: Optionally, the histogram can adopt distinct alternative colors during these bar/price disagreements for even clearer visual alerts. Classic Bullish & Bearish Divergence Detection: Automatically identifies regular divergences between price action (Higher Highs/Lower Lows) and the MACD line (Lower Highs/Higher Lows). Customizable pivot lookback periods (left and right bars) for divergence sensitivity. Plots clear "Bull" and "Bear" labels on the price chart where divergences occur. 🎨 Extensive Customization & Visuals: Multiple Color Themes: Choose from pre-set themes like 'Dark Mode', 'Light Mode', 'Neon Night', or use 'Default (Current Settings)' to fine-tune every color yourself. Granular Control (Default Theme): Individually customize colors and thickness for: MACD Line (positive/negative) Standard Signal Line Extra T3 Signal Line (bullish/bearish) Histogram (all four momentum states + neutral) Disagreement Markers & Histogram Alt Colors Divergence Lines/Labels Zero Line Toggle Visibility: Easily show or hide the Standard Signal Line and the Extra T3 Signal Line as needed. 🔔 Comprehensive Alert System: Stay informed of key market events with a wide array of configurable alerts: MACD Line / Standard Signal Line Crossover Histogram / Zero Line Crossover MACD Line / Zero Line Crossover Bullish Divergence Detected Bearish Divergence Detected Bar/Price Disagreement (Bullish & Bearish) MACD Line / Extra T3 Signal Line Crossover Each alert can be individually enabled or disabled. The Advanced MACD Pro - T3 Themed indicator is designed to be your go-to tool for momentum analysis. Its rich feature set empowers you to tailor it to your specific trading style and gain a more nuanced understanding of market dynamics. Add it to your charts today and experience the difference! (Developed by WhiteStone_Ibrahim)
Indicatore Pine Script®
di WhiteStone_Ibrahim
AD Pro//@version=5 indicator("AD Pro", overlay=true) // === Inputs atrLen = input.int(14, "ATR Length") factor = input.float(0.7, "Factor") slMultiplier = input.float(2.0, "SL Multiplier") // Volatility Filter Input atrFilterStrength = input.float(1.0, "Volatility Threshold (x Avg ATR)", step=0.1, minval=0.1) // Min % Price Change Filter enableMinMove = input.bool(true, "Enable Min % Price Change Filter") lookbackBars = input.int(20, "Lookback Bars") minMovePct = input.float(0.005, "Min % Price Change", step=0.001, minval=0) // TP Buy colors tp1BuyColor = input.color(color.lime, "TP1 Buy Color") tp2BuyColor = input.color(color.green, "TP2 Buy Color") tp3BuyColor = input.color(color.teal, "TP3 Buy Color") // TP Sell colors tp1SellColor = input.color(color.fuchsia, "TP1 Sell Color") tp2SellColor = input.color(color.red, "TP2 Sell Color") tp3SellColor = input.color(color.maroon, "TP3 Sell Color") // SL colors slBuyColor = input.color(color.blue, "SL Buy Color") slSellColor = input.color(color.blue, "SL Sell Color") // === Indicator Calculations atr = ta.atr(atrLen) avgATR = ta.sma(atr, 50) atrCondition = atr > avgATR * atrFilterStrength priceChange = math.abs(close - close ) / close priceMoveOK = priceChange > minMovePct priceChangeCondition = not enableMinMove or priceMoveOK volatilityOK = atrCondition and priceChangeCondition // === UT Bot Logic src = close var float trailPrice = na var bool dirLong = true longStop = src - factor * atr shortStop = src + factor * atr if na(trailPrice) trailPrice := longStop dirLong := true else if dirLong trailPrice := math.max(trailPrice, longStop) dirLong := src > trailPrice else trailPrice := math.min(trailPrice, shortStop) dirLong := src > trailPrice rawBuy = dirLong and not dirLong rawSell = not dirLong and dirLong // Apply Volatility Filter buySignal = rawBuy and volatilityOK sellSignal = rawSell and volatilityOK // === Entry & Label Storage var float entryPrice = na var bool lastSignalIsBuy = na var label tp1Lbl = na var label tp2Lbl = na var label tp3Lbl = na var label slLbl = na var line tp1Line = na var line tp2Line = na var line tp3Line = na var line slLine = na if buySignal or sellSignal if not na(tp1Lbl) label.delete(tp1Lbl) if not na(tp2Lbl) label.delete(tp2Lbl) if not na(tp3Lbl) label.delete(tp3Lbl) if not na(slLbl) label.delete(slLbl) if not na(tp1Line) line.delete(tp1Line) if not na(tp2Line) line.delete(tp2Line) if not na(tp3Line) line.delete(tp3Line) if not na(slLine) line.delete(slLine) entryPrice := close lastSignalIsBuy := buySignal tp1 = entryPrice + (buySignal ? 1 : -1) * atr tp2 = entryPrice + (buySignal ? 2 : -2) * atr tp3 = entryPrice + (buySignal ? 3 : -3) * atr sl = entryPrice - (buySignal ? 1 : -1) * factor * atr * slMultiplier tp1Lbl := label.new(bar_index, tp1, "TP1 " + str.tostring(tp1, format.mintick), style=label.style_label_right, color=buySignal ? tp1BuyColor : tp1SellColor, textcolor=color.black) tp2Lbl := label.new(bar_index, tp2, "TP2 " + str.tostring(tp2, format.mintick), style=label.style_label_right, color=buySignal ? tp2BuyColor : tp2SellColor, textcolor=color.white) tp3Lbl := label.new(bar_index, tp3, "TP3 " + str.tostring(tp3, format.mintick), style=label.style_label_right, color=buySignal ? tp3BuyColor : tp3SellColor, textcolor=color.white) slLbl := label.new(bar_index, sl, "SL " + str.tostring(sl, format.mintick), style=label.style_label_right, color=buySignal ? slBuyColor : slSellColor, textcolor=color.white) tp1Line := line.new(bar_index, tp1, bar_index + 1, tp1, color=buySignal ? tp1BuyColor : tp1SellColor, style=line.style_dashed) tp2Line := line.new(bar_index, tp2, bar_index + 1, tp2, color=buySignal ? tp2BuyColor : tp2SellColor, style=line.style_dashed) tp3Line := line.new(bar_index, tp3, bar_index + 1, tp3, color=buySignal ? tp3BuyColor : tp3SellColor, style=line.style_dashed) slLine := line.new(bar_index, sl, bar_index + 1, sl, color=buySignal ? slBuyColor : slSellColor, style=line.style_dashed) // === Plot Signals plotshape(buySignal, title="Buy", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY") plotshape(sellSignal, title="Sell", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL") // === Alerts alertcondition(buySignal, title="Buy Alert", message="Buy Signal!") alertcondition(sellSignal, title="Sell Alert", message="Sell Signal!")
Indicatore Pine Script®
di ysramylady
Golden Key: Opening Channel DashboardGolden Key: Opening Channel Dashboard Complementary to the original Golden Key – The Frequency Upgrade of 10 Monday's 1H Avg Range + 30-Day Daily Range This indicator provides a structured dashboard to monitor the opening channel range and related metrics on 15m and 5m charts. Built to work alongside the Golden Key methodology, it focuses on pip precision, average volatility, and SL sizing. What It Does Detects first 4 candles of the session: 15m chart → first 4 Monday candles (1 hour) 5m chart → first 4 candles of each day (20 minutes) Calculates pip range of the opening move Stores and averages the last 10 such ranges Calculates daily range average over 10 or 30 days Generates SL size based on your multiplier setting Auto-adjusts for FX, JPY, and XAUUSD pip sizes Displays all values in a clean table in the top-right How to Use It Add to a 15m or 5m chart Compare the current opening range to the average Use the daily average to assess broader volatility Define SL size using the opening range x multiplier Customize display colors per table row About This Script This is not a visual box-style indicator. It is designed to complement the original “Golden Key – The Frequency” by focusing on metric output. It is also an upgraded version of the earlier "10 Monday’s 1H Avg Range" script, now supporting multi-timeframe logic and additional customization. Disclaimer This is a technical analysis tool. It does not provide trading advice. Use it in combination with your own research and strategy.
Indicatore Pine Script®
di bramirez37
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!
Indicatore Pine Script®
di AlwwAl
AWR_8DLRC1. Overview and Objective The AWR_8DLRC indicator is designed to display multiple dynamic channels directly on your chart (with the overlay enabled). It creates dynamic envelopes based on a regression-like approach combined with a volatility measure derived from the root mean square error (RMSE). These channels can help identify support and resistance areas, overbought/oversold conditions, or even potential trend reversals by providing several layers of analysis using different multipliers and timeframes. 2. Input Parameters Source and Multiplier The indicator uses the closing price (close) as its default data source. A floating-point parameter mult (default value: 3.0) is available. This multiplier is primarily used for channel 5, while other channels employ fixed multipliers (1, 2, or 3) to generate different sensitivity levels. Channel Lengths Several channels are calculated with distinct lookback lengths: Channel 5: Uses a length of 1000 periods (its plot is commented out in the code, so it is not displayed by default). Channel 6: Uses a length of 2000 periods. Channel 7: Uses a length of 3000 periods. Channel 8: Uses a length of 4000 periods. Custom Colors and Transparencies Each channel (or group of channels) can be customized with specific colors and transparency settings. For example, channel 6 uses a light yellow tone, channel 7 is red, and channel 8 is white. Additionally, specific fill colors are defined for the shaded areas between the upper and lower lines of some channels, enhancing visual clarity. 3. Channel Calculation Mechanism At the heart of the indicator is the function f_calcChannel(), which takes as input: A data source (_src), A period (_length), and A multiplier (_mult). The calculation process comprises several key steps: Moving Averages Calculation The function computes both a weighted moving average (WMA) and a simple moving average (SMA) over the defined length. Baseline Determination It then combines these averages into two values (A and B) using linear formulas (e.g., A = 4*b - 3*a and B = 3*a - 2*b). These values help to establish a baseline that represents the central trend during the lookback period. Slope and Deviation Calculation A slope (m) is calculated based on the difference between A and B. The function iterates over the period, measuring the squared deviation between the actual data point and a corresponding value on the regression line. The sum of these squared deviations is used to compute the RMSE. Defining Upper and Lower Bounds The RMSE is multiplied by the provided multiplier (_mult) and then added to or subtracted from the baseline B to create the upper and lower channel boundaries. This method produces an envelope that widens or narrows based on the volatility reflected by the RMSE. This process is repeated using different multipliers (1, 2, and 3) for channels 6, 7, and 8, providing multiple levels that offer deeper insights into market conditions. 4. Chart Visualization The indicator plots several lines and shaded regions: Channels 6, 7, and 8: For each of these channels, three levels are calculated: Levels with a multiplier of 1 (thin lines with a line width of 1), Levels with a multiplier of 2 (medium lines with a line width of 2), Levels with a multiplier of 3 (thick lines with a line width of 4). To further enhance visual interpretation, shaded areas (fills) are added between the upper and lower lines — notably for the level with multiplier 3. Channel 5: Although the calculations for channel 5 are included, its plot commands are commented out. This means it won’t display on the chart unless you uncomment the relevant lines by modifying the script. 5. Conditions and Alerts Beyond the visual channels, the indicator integrates several alert conditions and visual markers: Graphical Conditions: The script defines conditions checking whether the price (i.e., the source) is above or below specific channel levels, particularly the levels calculated with multipliers 2 and 3. “Mixed” conditions are also established to detect when the price is simultaneously above one set of levels and below another, aiming to highlight potential reversal areas. Automated Alerts: Alert conditions are programmed to notify you when the price crosses specific channel boundaries: Alerts for conditions such as “Upper Channels 2” or “Lower Channels 2” indicate when prices exceed or fall below the second level of the channels. Similarly, alerts for “Upper Channels 3” and “Lower Channels 3” correspond to the more extreme boundaries defined by the multiplier of 3. Visual Symbols: The indicator employs the plotchar() function to place symbols (like 🌙, ⚠️, 🪐, and ☢️) directly on the chart. These symbols make it easy to spot when the price meets these crucial levels. These alert features are especially valuable for traders who rely on real-time notifications to adjust positions or watch for potential trend shifts. 6. How to Use the Indicator Installation and Setup: Copy the provided code into your Pine Script editor on your charting platform (e.g., TradingView) and add the indicator to your chart. Customize the parameters according to your trading strategy: Channel Lengths: Modify the lookback periods to see how the envelope adapts. Colors and Transparencies: Adjust these to fit your display preferences. Multipliers: Experiment with the multipliers to observe how different settings affect the channel widths. Interpreting the Channels: The upper and lower bands represent dynamic thresholds that change with market volatility. A price that nears an upper boundary might indicate an overextended move upward, whereas a break beyond these dynamic boundaries could signal a potential trend reversal. Utilizing Alerts: Configure notifications based on the alert conditions so you can be alerted when the price moves beyond the defined channel levels. This can help trigger entry or exit signals, or simply keep you informed of significant price movements. Multi-Level Analysis: The strength of this indicator lies in its multi-level approach. With three defined levels for channels 6, 7, and 8, you gain a more nuanced view of market volatility and trend strength. For instance, a price crossing the level with a multiplier of 2 might indicate the start of a trend change, while a break of the level with multiplier 3 might confirm a strong trend movement. 7. In Summary The AWR_8DLRC indicator is a comprehensive tool for drawing dynamic channels based on a regression and RMSE-driven volatility measure. It offers: Multiple channel levels, each with different lookback periods and multipliers. Shaded regions between channel boundaries for rapid visual interpretation. Alert conditions to notify you immediately when the price hits critical levels. Visual markers directly on the chart to highlight key moments of price action. This indicator is particularly suited for technical traders seeking to dynamically identify support and resistance zones with a responsive alert system. Its customizable settings and rich array of signals provide an excellent framework to refine your trading decisions.
Indicatore Pine Script®
di AlwwAl
ETH Master Institutional IndicatorETH Master Institutional Indicator (1H) Summary: This strategy is a high-precision, professional-grade trading indicator for Ethereum (ETH), optimized specifically for the 1-hour timeframe. It is built to mirror the decision logic of institutional traders by combining multiple forms of market confirmation to filter out weak or false signals. How It Works: 1. **Trend Confirmation**: - Uses three Exponential Moving Averages (9, 21, 50) to confirm trend direction. - Buy signals require price to be above all three EMAs (strong uptrend), sell signals below all three (strong downtrend). 2. **Momentum Confirmation**: - MACD Line must be above Signal Line for buy signals (bullish momentum). - MACD Line must be below Signal Line for sell signals (bearish momentum). - Histogram must be positive for buys, negative for sells. 3. **RSI Filter**: - Buy signals require RSI > 55 (indicating upward strength). - Sell signals require RSI < 45 (indicating downward pressure). 4. **Volume Confirmation**: - Requires volume to be at least 10% greater than the 20-bar average, signaling institutional activity. 5. **Price Breakout/Breakdown**: - Buy signals only occur when price breaks above recent resistance. - Sell signals only occur when price breaks below recent support. 6. **Visuals**: - Smart Buy and Smart Sell markers are plotted on the chart when all conditions align. - EMA trend guides are also plotted (9 in yellow, 21 in orange, 50 in blue). 7. **Alerts**: - Alerts trigger when a qualified Smart Buy or Smart Sell signal appears, giving traders automated notifications. This strategy is designed for clarity, professional use, and adaptability, with a strong emphasis on confluence across multiple indicators before acting.
Indicatore Pine Script®
di metermanx
OpenAI Signal Generator - Enhanced Accuracy# AI-Powered Trading Signal Generator Guide ## Overview This is an advanced trading signal generator that combines multiple technical indicators using AI-enhanced logic to generate high-accuracy trading signals. The indicator uses a sophisticated combination of RSI, MACD, Bollinger Bands, EMAs, ADX, and volume analysis to provide reliable buy/sell signals with comprehensive market analysis. ## Key Features ### 1. Multi-Indicator Analysis - **RSI (Relative Strength Index)** - Length: 14 periods (default) - Overbought: 70 (default) - Oversold: 30 (default) - Used for identifying overbought/oversold conditions - **MACD (Moving Average Convergence Divergence)** - Fast Length: 12 (default) - Slow Length: 26 (default) - Signal Length: 9 (default) - Identifies trend direction and momentum - **Bollinger Bands** - Length: 20 periods (default) - Multiplier: 2.0 (default) - Measures volatility and potential reversal points - **EMAs (Exponential Moving Averages)** - Fast EMA: 9 periods (default) - Slow EMA: 21 periods (default) - Used for trend confirmation - **ADX (Average Directional Index)** - Length: 14 periods (default) - Threshold: 25 (default) - Measures trend strength - **Volume Analysis** - MA Length: 20 periods (default) - Threshold: 1.5x average (default) - Confirms signal strength ### 2. Advanced Features - **Customizable Signal Frequency** - Daily - Weekly - 4-Hour - Hourly - On Every Close - **Enhanced Filtering** - EMA crossover confirmation - ADX trend strength filter - Volume confirmation - ATR-based volatility filter - **Comprehensive Alert System** - JSON-formatted alerts - Detailed technical analysis - Multiple timeframe analysis - Customizable alert frequency ## How to Use ### 1. Initial Setup 1. Open TradingView and create a new chart 2. Select your preferred trading pair 3. Choose an appropriate timeframe 4. Apply the indicator to your chart ### 2. Configuration #### Basic Settings - **Signal Frequency**: Choose how often signals are generated - Daily: Signals at the start of each day - Weekly: Signals at the start of each week - 4-Hour: Signals every 4 hours - Hourly: Signals every hour - On Every Close: Signals on every candle close - **Enable Signals**: Toggle signal generation on/off - **Include Volume**: Toggle volume analysis on/off #### Technical Parameters ##### RSI Settings - Adjust `rsi_length` (default: 14) - Modify `rsi_overbought` (default: 70) - Modify `rsi_oversold` (default: 30) ##### EMA Settings - Fast EMA Length (default: 9) - Slow EMA Length (default: 21) ##### MACD Settings - Fast Length (default: 12) - Slow Length (default: 26) - Signal Length (default: 9) ##### Bollinger Bands - Length (default: 20) - Multiplier (default: 2.0) ##### Enhanced Filters - ADX Length (default: 14) - ADX Threshold (default: 25) - Volume MA Length (default: 20) - Volume Threshold (default: 1.5) - ATR Length (default: 14) - ATR Multiplier (default: 1.5) ### 3. Signal Interpretation #### Buy Signal Requirements 1. RSI crosses above oversold level (30) 2. Price below lower Bollinger Band 3. MACD histogram increasing 4. Fast EMA above Slow EMA 5. ADX above threshold (25) 6. Volume above threshold (if enabled) 7. Market volatility check (if enabled) #### Sell Signal Requirements 1. RSI crosses below overbought level (70) 2. Price above upper Bollinger Band 3. MACD histogram decreasing 4. Fast EMA below Slow EMA 5. ADX above threshold (25) 6. Volume above threshold (if enabled) 7. Market volatility check (if enabled) ### 4. Visual Indicators #### Chart Elements - **Moving Averages** - SMA (Blue line) - Fast EMA (Yellow line) - Slow EMA (Purple line) - **Bollinger Bands** - Upper Band (Green line) - Middle Band (Orange line) - Lower Band (Green line) - **Signal Markers** - Buy Signals: Green triangles below bars - Sell Signals: Red triangles above bars - **Background Colors** - Light green: Buy signal period - Light red: Sell signal period ### 5. Alert System #### Alert Types 1. **Signal Alerts** - Generated when buy/sell conditions are met - Includes comprehensive technical analysis - JSON-formatted for easy integration 2. **Frequency-Based Alerts** - Daily/Weekly/4-Hour/Hourly/Every Close - Includes current market conditions - Technical indicator values #### Alert Message Format ```json { "symbol": "TICKER", "side": "BUY/SELL/NONE", "rsi": "value", "macd": "value", "signal": "value", "adx": "value", "bb_upper": "value", "bb_middle": "value", "bb_lower": "value", "ema_fast": "value", "ema_slow": "value", "volume": "value", "vol_ma": "value", "atr": "value", "leverage": 10, "stop_loss_percent": 2, "take_profit_percent": 5 } ``` ## Best Practices ### 1. Signal Confirmation - Wait for multiple confirmations - Consider market conditions - Check volume confirmation - Verify trend strength with ADX ### 2. Risk Management - Use appropriate position sizing - Implement stop losses (default 2%) - Set take profit levels (default 5%) - Monitor market volatility ### 3. Optimization - Adjust parameters based on: - Trading pair volatility - Market conditions - Timeframe - Trading style ### 4. Common Mistakes to Avoid 1. Trading without volume confirmation 2. Ignoring ADX trend strength 3. Trading against the trend 4. Not considering market volatility 5. Overtrading on weak signals ## Performance Monitoring Regularly review: 1. Signal accuracy 2. Win rate 3. Average profit per trade 4. False signal frequency 5. Performance in different market conditions ## Disclaimer This indicator is for educational purposes only. Past performance is not indicative of future results. Always use proper risk management and trade responsibly. Trading involves significant risk of loss and is not suitable for all investors.
Indicatore Pine Script®
di Aigentswarmtrade
Veryfid Stacks------------------------------------------------------------------------------------ VERYFID STACKS - PARALLEL CHANNEL DETECTION SYSTEM TECHNICAL INDICATOR DOCUMENTATION ------------------------------------------------------------------------------------ Table of Contents: 1. Chart Mechanics Background 2. Parallel Channel Theory 3. Veryfid Stacks Components 3.1. Bottom Pivot Channel Detection 3.2. Top Pivot Channel Detection 3.3. Channel Validation System 3.4. Stacking Algorithm 3.5. Dynamic Extension Logic 3.6. Visual Enhancement Features 4. References & Further Reading ------------------------------------------------------------------------------------ 1. CHART MECHANICS BACKGROUND ------------------------------------------------------------------------------------ Creator: veryfid, a trading methodology developer specializing in geometric market analysis and electrical engineering principles applied to financial markets. Origins: Developed from the foundational principle that "every chart is just parallel lines within parallel lines," Chart Mechanics represents a systematic approach to identifying market structure through geometric relationships. Theoretical Foundation: Based on the concept that price action behaves according to parallel circuit principles, where market movements follow predictable geometric patterns that can be identified and exploited through proper channel analysis. Traditional Market Structure: Most traders focus on support and resistance levels without understanding the underlying parallel relationships that govern price movement. Chart Mechanics addresses this gap by providing a systematic method for identifying these parallel systems. Difference from Conventional Analysis: Unlike traditional trend line analysis that relies on subjective line drawing, Chart Mechanics uses objective pivot point connections to automaticaly identify parallel channel systems with mathematical precision. ------------------------------------------------------------------------------------ 2. PARALLEL CHANNEL THEORY ------------------------------------------------------------------------------------ Mathematical Foundation: Channels are constructed using validated pivot points that create parallel lines with consistent geometric relationships. The theory suggests that markets naturally move within these parallel systems, which can halve or double in width based on market conditions. Channel Behavior: Price tends to respect parallel boundaries, creating predictable support and resistance zones. When channels break, they often lead to the formation of new parallel systems at different angles or widths. Validation Requirements: Channels must demonstrate multiple connection points to be considered valid. This reduces false signals and ensures that only statistically significant patterns are identified for trading purposes. Stacking Principle: Multiple parallel channels can exist simultaneously at different levels, creating a comprehensive framework for understanding price targets and potential reversal zones. Technical Implementation: The system uses dual lookback periods to identify pivot points and applies geometric calculations to create parallel lines with proper slope and spacing relationships. ------------------------------------------------------------------------------------ 3. VERYFID STACKS COMPONENTS ------------------------------------------------------------------------------------ 3.1. BOTTOM PIVOT CHANNEL DETECTION ------------------------------------------------------------------------------------ Description: Automated identification of upward-trending parallel channels using bottom pivot connections to establish channel boundaries. Calculation: Analyzes pivot lows using configurable lookback periods (default 10, 50) to identify potential channel formation points. The system connects validated bottom pivots to create ascending parallel lines that define upward trending channels. Implementation Advantage: By focusing on bottom pivot connections, the bottom pivot channel detection provides more accurate identification of support levels and upward trending boundaries compared to traditional trend line methods. Validation Logic: Requires positive slope calculations and minimum bar differance between pivot points to ensure channel validity. Multiple connection points strengthen channel reliability. Interpretation: - Upper boundary serves as dynamic resistance - Lower boundary provides dynamic support - Channel median indicates neutral price zone - Multiple touches increase channel strength Trading Application: Use bottom pivot channels to identify potential buying opportunities near support boundaries and profit-taking zones near resistance levels. ------------------------------------------------------------------------------------ 3.2. TOP PIVOT CHANNEL DETECTION ------------------------------------------------------------------------------------ Description: Systematic identification of downward-trending parallel channels using top pivot connections to establish channel frameworks. Calculation: Utilizes pivot highs with independent lookback periods to identify top pivot channel formation. The algorithm connects validated top pivots to create parallel lines that define downward trending price movements. Technical Origin: Based on the principle that downward trending markets create predictable parallel support and resistance patterns that can be identified through top pivot analysis. Validation Requirements: Channels must demonstrate negative slope and meet minimum width calculations to qualify as valid top pivot patterns. Force mode override ensures both bottom pivot and top pivot channels display when conditions are met. Interpretation: - Lower boundary acts as dynamic support in downtrends - Upper boundary provides dynamic resistance - Median line indicates equilibrium pricing - Channel touches confirm pattern strength Trading Application: Top pivot channels help identify potential short-selling opportunities near resistance boundaries and covering zones near support levels. ------------------------------------------------------------------------------------ 3.3. CHANNEL VALIDATION SYSTEM ------------------------------------------------------------------------------------ Description: Mathematical verification process that ensures only statistically significant channel patterns are displayed to traders. Calculation: Uses connection point theory to validate channel formations. Requires multiple pivot touches on both channel boundaries before confirming pattern validity. The system also verifies proper slope relationships and channel width consistency. Research Base: Draws from geometric analysis principles and statistical validation methods to reduce false signals and improve trading accuracy. Implementation Features: - Minimum connection point requirements - Slope validation for trend direction - Width calculations for proportional spacing - Real-time status monitoring (ACTIVE/WAITING states) Interpretation: - ACTIVE status indicates validated channel with multiple touches - WAITING status shows potential channel formation requiring additional confirmation - Connection point dots highlight validation touches - Status table provides real-time channel health monitoring Trading Application: Only trade channels with ACTIVE status to ensure statistical significance and reduce false breakout risks. ------------------------------------------------------------------------------------ 3.4. STACKING ALGORITHM ------------------------------------------------------------------------------------ Description: Advanced feature that creates additional parallel channels above and below primary channels, providing extended price targets and support/resistance levels. Calculation: Uses proportional width-based spacing to create double and triple channel layers. New channels are positioned using calculated channel width as the spacing measurement, maintaining geometric relationships. Mathematical Implementation: Stacked channels maintain parallel relationships with the primary channel while extending price analysis to broader support and resistance zones. Directional control allows stacking upward or downward from primary lines. Technical Advantage: Provides traders with multiple price targets and extended analysis zones, improving position managment and profit-taking strategies. Interpretation: - Double channels create secondary support/resistance levels - Triple channels provide extended price targets - Stacked levels often act as significant reversal zones - Width-based spacing ensures proportional relationships Trading Application: Use stacked channels for scaling into positions, setting multiple profit targets, and identifying potential reversal zones beyond primary channel boundaries. ------------------------------------------------------------------------------------ 3.5. DYNAMIC EXTENSION LOGIC ------------------------------------------------------------------------------------ Description: Real-time line extension system that projects channel boundaries into future price action for forward-looking analysis. Calculation: Extends validated channels from earliest pivot points to future bars using geometric slope calculations. The system updates all lines on every bar to maintain accurate projections. Technical Foundation: Based on the principle that validated parallel channels tend to continue their geometric relationships until definitively broken by price action. Implementation Features: - Automatic line extension from historical pivots - Real-time updates on every bar - Future projection for forward analysis - Geometric slope preservation Interpretation: - Extended lines provide future support/resistance levels - Projections help identify potential price targets - Real-time updates ensure accuracy - Slope consistency maintains channel integrity Trading Application: Use extended channel lines to plan future trades, set price targets, and anticipate potential support/resistance encounters. ------------------------------------------------------------------------------------ 3.6. VISUAL ENHANCEMENT FEATURES ------------------------------------------------------------------------------------ Description: Comprehensive visual customization system designed to improve chart readability and enhance pattern recognition capabilities. Calculation: Implements customizable colors, transparency levels, and line styles to create clear visual distinction between different channel components and states. Design Features: - Customizable channel line colors and transparency - Median dashed lines for center identification - Pivot point validation markers - Real-time status table display - Line extension controls Interpretation: - Color coding distinguishes bottom pivot vs top pivot channels - Transparency levels prevent chart clutter - Dashed median lines highlight channel centers - Pivot markers confirm validation points - Status table provides quick channel health overview Trading Application: Visual enhancements improve pattern recognition speed and reduce analysis errors, particularly during fast-moving market conditions. ------------------------------------------------------------------------------------ 4. REFERENCES & FURTHER READING ------------------------------------------------------------------------------------ 1. veryfid. "Chart Mechanics Theory: Parallel Lines Within Parallel Lines." TradingView Educational Series. 2. Murphy, J. J. (1999). "Technical Analysis of the Financial Markets." New York Institute of Finance. 3. Andrews, A. (1964). "Action and Reaction in Technical Analysis." Original Andrews Pitchfork Research. 4. Bulkowski, T. N. (2005). "Encyclopedia of Chart Patterns." 2nd Edition, Wiley Trading. 5. Schwager, J. D. (1996). "Technical Analysis." Wiley Finance. ------------------------------------------------------------------------------------ END OF DOCUMENTATION ------------------------------------------------------------------------------------
Indicatore Pine Script®
di meddymarkusvanhala