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Bollinger Band Screener [Pineify]Multi-Symbol Bollinger Band Screener Pineify – Advanced Multi-Timeframe Market Analysis Unlock the power of rapid, multi-asset scanning with this original TradingView Pine Script. Expose trends, volatility, and reversals across your favorite tickers—all in a single, customizable dashboard. Key Features Screens up to 8 symbols simultaneously with individual controls. Covers 4 distinct timeframes per symbol for robust, multi-timeframe analysis. Integrates advanced Bollinger Band logic, adaptable with 11+ moving average types (SMA, EMA, RMA, HMA, WMA, VWMA, TMA, VAR, WWMA, ZLEMA, and TSF). Visualizes precise state changes: Open/Parallel Uptrends & Downtrends, Consolidation, Breakouts, and more. Highly interactive table view for instant signal interpretation and actionable alerts. Flexible to any market: crypto, stocks, forex, indices, and commodities. How It Works For each chosen symbol and timeframe, the script calculates Bollinger Bands using your specified source, length, standard deviation, and moving average method. Real-time state recognition assigns one of several states (Open Rising, Open Falling, Parallel Rising, Parallel Falling), painting the table with unique color codes. State detection is rigorously defined: e.g., “Open Rising” is set when both bands and the basis rise, indicating strong up momentum. All bands, signals, and strategies dynamically update as new bars print or user inputs change. Trading Ideas and Insights Identify volatility expansions and compressions instantly, spotting breakouts and breakdowns before they play out. Spot multi-timeframe confluences—when trends align across several TFs, conviction increases for potential trades. Trade reversals or continuations based on unique Bollinger Band patterns, such as squeeze-break or persistent parallel moves. Harness this tool for scalping, swing trading, or systematic portfolio screens—your logic, your edge! How Multiple Indicators Work Together This screener’s core strength is its integration of multiple moving average types into Bollinger Band construction, not just standard SMA. Each average adapts the bands’ responsiveness to trend and noise, so traders can select the underlying logic that matches their market environment (e.g., HMA for fast moves or ZLEMA for smoothed lag). Overlaying 4 timeframes per symbol ensures trends, reversals, and volatility shifts never slip past your radar. When all MAs and bands synchronize across symbols and TFs, it becomes easy to separate real opportunity from market noise. Unique Aspects Perhaps the most flexible Bollinger Band screener for TradingView—choose from over 10 moving average methods. Powerful multi-timeframe and multi-asset design, rare among Pine scripts. Immediate visual clarity with color-coded table cells indicating band state—no need for guesswork or chart clutter. Custom configuration for each asset and time slice to suit any trading style. How to Use Add the script to your TradingView chart. Use the user-friendly input settings to specify up to 8 symbols and 4 timeframes each. Customize the Bollinger Band parameters: source (price type), band length, standard deviation, and type of moving average. Interpret the dashboard: Color codes and “state” abbreviations show you instantly which symbols and timeframes are trending, consolidating, or breaking out. Take trades according to your strategy, using the screener as a confirmation or primary scan tool. Customization Fully customize: symbols, timeframes, source, band length, standard deviation multiplier, and moving average type. Supports intricate watchlists—anything TradingView allows, this script tracks. Adapt for cryptos, equities, forex, or derivatives by changing symbol inputs. Conclusion The Multi-Symbol Bollinger Band Screener “Pineify” is a comprehensive, SEO-optimized Pine Script tool to supercharge your market scanning, trend spotting, and decision-making on TradingView. Whether you trade crypto, stocks, or forex—its fast, intuitive, multi-timeframe dashboard gives you the informational edge to stay ahead of the market. Try it now to streamline your trading workflow and see all the bands, all the trends, all the time!

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Triple SuperTrend + RSI + Fib BB Triple SuperTrend + RSI + Fibonacci Bollinger Bands Strategy 📊 Overview This advanced trading strategy combines the power of three SuperTrend indicators with RSI confirmation and Fibonacci Bollinger Bands to generate high-probability trade signals. The strategy is designed to capture strong trending moves while filtering out false signals through multi-indicator confluence. 🔧 Core Components Three SuperTrend Indicators The strategy uses three SuperTrend indicators with progressively longer periods and multipliers: SuperTrend 1: 10-period ATR, 1.0 multiplier (fastest, most sensitive) SuperTrend 2: 11-period ATR, 2.0 multiplier (medium sensitivity) SuperTrend 3: 12-period ATR, 3.0 multiplier (slowest, most stable) This layered approach ensures that all three timeframe perspectives align before generating a signal, significantly reducing false entries. RSI Confirmation (7-period) The Relative Strength Index acts as a momentum filter: Long signals require RSI > 50 (bullish momentum) Short signals require RSI < 50 (bearish momentum) This prevents entries during weak or divergent price action. Fibonacci Bollinger Bands (200, 2.618) Uses a 200-period Simple Moving Average with 2.618 standard deviation bands (Fibonacci ratio). These bands serve dual purposes: Visual representation of price extremes Automatic exit trigger when price reaches overextended levels 📈 Entry Logic LONG Entry (BUY Signal) A LONG position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn green (bullish) RSI(7) is above 50 This is the first bar where all conditions align (no repainting) SHORT Entry (SELL Signal) A SHORT position is opened when ALL of the following conditions are met simultaneously: All three SuperTrend indicators turn red (bearish) RSI(7) is below 50 This is the first bar where all conditions align (no repainting) 🚪 Exit Logic Positions are automatically closed when ANY of these conditions occur: SuperTrend Color Change: Any one of the three SuperTrend indicators changes direction Fibonacci BB Touch: Price reaches or exceeds the upper or lower Fibonacci Bollinger Band (2.618 standard deviations) This dual-exit approach protects profits by: Exiting quickly when trend momentum shifts (SuperTrend change) Taking profits at statistical price extremes (Fib BB touch) 🎨 Visual Features Signal Arrows Green Up Arrow (BUY): Appears below the bar when long entry conditions are met Red Down Arrow (SELL): Appears above the bar when short entry conditions are met Yellow Down Arrow (EXIT): Appears above the bar when exit conditions are met Background Coloring Light Green Tint: All three SuperTrends are bullish (uptrend environment) Light Red Tint: All three SuperTrends are bearish (downtrend environment) SuperTrend Lines Three colored lines plotted with varying opacity: Solid line (ST1): Most responsive to price changes Semi-transparent (ST2): Medium-term trend Most transparent (ST3): Long-term trend structure Dashboard Real-time information panel showing: Individual SuperTrend status (UP/DOWN) Current RSI value and color-coded status Current position (LONG/SHORT/FLAT) Net Profit/Loss ⚙️ Customizable Parameters SuperTrend Settings ATR periods for each SuperTrend (default: 10, 11, 12) Multipliers for each SuperTrend (default: 1.0, 2.0, 3.0) RSI Settings RSI length (default: 7) RSI source (default: close) Fibonacci Bollinger Bands BB length (default: 200) BB multiplier (default: 2.618) Strategy Options Enable/disable long trades Enable/disable short trades Initial capital Position sizing Commission settings 💡 Strategy Philosophy This strategy is built on the principle of confluence trading - waiting for multiple independent indicators to align before taking a position. By requiring three SuperTrend indicators AND RSI confirmation, the strategy filters out the majority of low-probability setups. The multi-timeframe SuperTrend approach ensures that short-term, medium-term, and longer-term trends are all in agreement, which typically occurs during strong, sustainable price moves. The exit strategy is equally important, using both trend-following logic (SuperTrend changes) and mean-reversion logic (Fibonacci BB touches) to adapt to different market conditions. 📊 Best Use Cases Trending Markets: Works best in markets with clear directional bias Higher Timeframes: Designed for 15-minute to daily charts Volatile Assets: SuperTrend indicators excel in assets with clear trends Swing Trading: Hold times typically range from hours to days ⚠️ Important Notes No Repainting: All signals are confirmed and will not change on historical bars One Signal Per Setup: The strategy prevents duplicate signals on consecutive bars Exit Protection: Always exits before potentially taking an opposite position Visual Clarity: All three SuperTrend lines are visible simultaneously for transparency 🎯 Recommended Settings While default parameters are optimized for general use, consider: Crypto/Volatile Markets: May benefit from slightly higher multipliers Forex: Default settings work well for major pairs Stocks: Consider longer BB periods (250-300) for daily charts Lower Timeframes: Reduce all periods proportionally for scalping 📝 Alerts Built-in alert conditions for: BUY signal triggered SELL signal triggered EXIT signal triggered Set up notifications to never miss a trade opportunity! Disclaimer: This strategy is for educational and informational purposes only. Past performance does not guarantee future results. Always backtest thoroughly and practice proper risk management before live trading.

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Luxy Momentum, Trend, Bias and Breakout Indicators V7 TABLE OF CONTENTS This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7. Why This Indicator is Different Who Should Use This Core Components Overview The UT Bot Trading System Understanding the Market Bias Table Candlestick Pattern Recognition Visual Tools and Features How to Use the Indicator Performance and Optimization FAQ --- ### CREDITS & ATTRIBUTION This indicator implements proven trading concepts using entirely original code developed specifically for this project. ### CONCEPTUAL FOUNDATIONS • UT Bot ATR Trailing System - Original concept by @QuantNomad: (search "UT-Bot-Strategy" - Our version is a complete reimplementation with significant enhancements: - Volume-weighted momentum adjustment - Composite stop loss from multiple S/R layers - Multi-filter confirmation system (swing, %, 2-bar, ZLSMA) - Full integration with multi-timeframe bias table - Visual audit trail with freeze-on-touch - NOTE: No code was copied - this is a complete reimplementation with enhancements. • Standard Technical Indicators (Public Domain Formulas): - Supertrend: ATR-based trend calculation with custom gradient fills - MACD: Gerald Appel's formula with separation filters - RSI: J. Welles Wilder's formula with pullback zone logic - ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics - ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction ### Custom Implementations - Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing) - All code implementations are original ### ORIGINAL FEATURES (70%+ of codebase) - Multi-Timeframe Bias Table with live updates - Risk Management System (R-multiple TPs, freeze-on-touch) - Opening Range Breakout tracker with session management - Composite Stop Loss calculator using 6+ S/R layers - Performance optimization system (caching, conditional calcs) - VIX Fear Index integration - Previous Day High/Low auto-detection - Candlestick pattern recognition with interactive tooltips - Smart label and visual management - All UI/UX design and table architecture ### DEVELOPMENT PROCESS **AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for: - Writing Pine Script code based on design specifications - Optimizing performance and fixing bugs - Ensuring Pine Script v6 compliance - Generating documentation **Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer. **Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership. --- 1. WHY THIS INDICATOR IS DIFFERENT Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system. Key Advantages: All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance. Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts. Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off. Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops. R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits. Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure. Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance. No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time. What Makes It Unique: Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context. Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it. Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table. Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input. Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated. Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style. --- 2. WHO WHOULD USE THIS Designed For: Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit. Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week. Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you. Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments. Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation. Works Across All Markets: Stocks (US, international) Cryptocurrency (24/7 markets supported) Forex pairs Indices (SPY, QQQ, etc.) Commodities NOT Ideal For : Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge. Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution. Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation. --- 3. CORE COMPONENTS OVERVIEW The indicator combines these proven systems: Trend Analysis: Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style. Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading. ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves. Momentum & Filters: MACD: Standard MACD with separation filter to avoid weak crossovers. RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone". ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum. Volume Filter: Relative volume confirmation - require above-average volume for entries. Donchian Breakout: Optional channel breakout requirement. Signal Systems: UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points. Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone. Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX). Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips. ORB Tracker: Opening range high/low with breakout status (intraday only). PDH/PDL: Previous day levels plotted automatically on intraday charts. VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs. --- 4. THE UT BOT TRADING SYSTEM The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility. Why UT Bot is Superior to Fixed Stops: Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter: It TRAILS the stop as price moves in your favor It WIDENS during high volatility to avoid premature stops It TIGHTENS during consolidation to lock in profits It FLIPS when price breaks the trailing line, signaling reversals Visual Elements You'll See: Orange Trailing Line: The actual UT stop level that adapts bar-by-bar Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips ENTRY Line: Horizontal line at your entry price (optional, can be turned off) Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers: - UT trailing line - Supertrend level - VWAP - Swing structure (recent lows/highs) - Long-term MA (200) - ATR-based floor Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes. Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes. How UT Bot Differs from Other ATR Systems: Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these. Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled. Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were. Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts. Trading Logic: UT Bot flips direction (Buy or Sell signal appears) Check Bias Table for multi-timeframe confirmation Optional: Wait for Base signal or candlestick pattern Enter at signal bar close or next bar open Place stop at "Suggested Stop Loss" line Scale out at TP levels (TP1, TP2, TP3) Exit remaining position on opposite UT signal or stop hit --- 5. UNDERSTANDING THE MARKET BIAS TABLE This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias. Why Multi-Timeframe Analysis Matters: Professional traders check higher and lower timeframes for context: Is the 1h uptrend aligning with my 5m entry? Are all short-term timeframes bullish or just one? Is the daily trend supportive or fighting me? Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance. Table Structure: Header Row: On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want) On daily+ charts: D, W, M (automatic) Green dot next to title = live updating Headline Rows - Macro Bias: These show broad market direction over longer periods: 3 Day Bias: Trend over last 3 trading sessions (uses 1h data) Weekly Bias: Trend over last 5 trading sessions (uses 4h data) Monthly Bias: Trend over last 30 daily bars Quarterly Bias: Trend over last 13 weekly bars VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high Opening Range Breakout: Status of price vs. session open range (intraday only) These rows show text: "BULLISH", "BEARISH", or "NEUTRAL" Indicator Rows - Technical Signals: These evaluate your configured indicators across all active timeframes: Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20") Price > Long MA (e.g., "Price > SMA 200") Price > VWAP MACD > Signal Supertrend (up/down/neutral) ZLSMA Rising RSI In Zone ADX ≥ Minimum These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA) AVG Column: Shows percentage of active timeframes that are bullish for that row. This is the KEY metric: AVG > 70% = strong multi-timeframe bullish alignment AVG 40-60% = mixed/choppy, no clear trend AVG < 30% = strong multi-timeframe bearish alignment How to Use the Table: For a long trade: Check AVG column - want to see > 60% ideally Check headline bias rows - want to see BULLISH, not BEARISH Check VIX row - bullish market regime preferred Check ORB row (intraday) - want ABOVE for longs Scan indicator rows - more green = better confirmation For a short trade: Check AVG column - want to see < 40% ideally Check headline bias rows - want to see BEARISH, not BULLISH Check VIX row - bearish market regime preferred Check ORB row (intraday) - want BELOW for shorts Scan indicator rows - more red = better confirmation When AVG is 40-60%: Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments. Unique Features: Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated. Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy. Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%. Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed. Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday. --- 6. CANDLESTICK PATTERN RECOGNITION The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars. Why These Six Patterns: These are the most statistically significant reversal patterns according to trading literature: High win rate when appearing at support/resistance Clear visual structure (not subjective) Work across all timeframes and assets Studied extensively by institutions The Patterns: Bullish Patterns (appear at bottoms): Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal. Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers. Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal. Bearish Patterns (appear at tops): Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal. Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers. Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal. Interactive Tooltips: Unlike most pattern indicators that just draw shapes, this one is educational: Hover your mouse over any pattern emoji A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it No need to memorize - learn as you trade Noise Filter: "Min candle body % to filter noise" setting prevents false signals: Patterns require minimum body size relative to price Filters out tiny candles that don't represent real buying/selling pressure Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks) How to Trade Patterns: Patterns are NOT standalone entry signals. Use them as: Confirmation: UT Bot gives signal + pattern appears = stronger entry Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected Best combined with: UT Bot or Base signal in same direction Bias Table alignment (AVG > 60% or < 40%) Appearance at obvious support/resistance --- 7. VISUAL TOOLS AND FEATURES VWAP (Volume Weighted Average Price): Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session. Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe. Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses. Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode. Use VWAP as: Directional bias (above = bullish, below = bearish) Mean reversion levels (outer bands) Support/resistance (the VWAP line itself) Previous Day High/Low: Automatically plots yesterday's high and low on intraday charts: Updates at start of each new trading day Theme-aware colors (dark text for light charts, light text for dark charts) Hidden automatically on Daily/Weekly/Monthly charts These levels are critical for intraday traders - institutions watch them closely as support/resistance. Opening Range Breakout (ORB): Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session: Customizable session times (preset for NYSE, LSE, TSE, or custom) Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING) Intraday only - auto-disabled on Daily+ charts ORB is a classic day trading strategy - breakout above opening range often leads to continuation. Extra Labels: Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative. ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below. RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral). These labels provide quick at-a-glance confirmation without needing separate indicator windows. --- 8. HOW TO USE THE INDICATOR Step 1: Add to Chart Load the indicator on your chosen asset and timeframe First time: Everything is enabled by default - the chart will look busy Don't panic - you'll turn off what you don't need Step 2: Start Simple Turn OFF everything except: UT Bot labels (keep these ON) Bias Table (keep this ON) Moving Averages (Fast and Medium only) Suggested Stop Loss and Take Profits Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first. Step 3: Learn the Core Workflow UT Bot gives a Buy or Sell signal Check Bias Table AVG column - do you have multi-timeframe alignment? If yes, enter the trade Place stop at Suggested Stop Loss line Scale out at TP levels Exit on opposite UT signal Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings. Step 4: Add Filters Gradually If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time: Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction Try: ADX filter with minimum threshold - only trade when trend strength is sufficient Try: RSI pullback filter - only enter on pullbacks, not chasing Try: Volume filter - require above-average volume Add one filter, test for a week, evaluate. Repeat. Step 5: Enable Advanced Features (Optional) Once you're profitable with the core system, add: Supertrend for additional trend confirmation Candlestick patterns for reversal warnings VWAP for institutional anchor reference ORB for intraday breakout context ZLSMA for low-lag trend following Step 6: Optimize Settings Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read: What the parameter controls How it impacts trading Suggested ranges for scalping, day trading, and swing trading Start with defaults, then adjust based on your results and style. Step 7: Set Up Alerts Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose: "UT Bot — Buy" for long entries "UT Bot — Sell" for short entries "Base Long/Short" for filtered MA cross signals Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications. Common Workflow Variations: Conservative Trader: UT signal + Base signal + Candlestick pattern + Bias AVG > 70% Enter only at major support/resistance Wider UT sensitivity, multiple filters Aggressive Trader: UT signal + Bias AVG > 60% Enter immediately, no waiting Tighter UT sensitivity, minimal filters Swing Trader: Focus on Daily/Weekly Bias alignment Ignore intraday noise Use ORB and PDH/PDL less (or not at all) Wider stops, patient approach --- 9. PERFORMANCE AND OPTIMIZATION The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast: Biggest Performance Gains: Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h. Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes. Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization. Additional Optimizations: Turn off VWAP bands if you don't use them Disable candlestick patterns if you don't trade them Turn off Supertrend fill if you find it distracting (keep the line) Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects Performance Features Built-In: Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off. Modular Design: Every component is independent. Turn off what you don't need without breaking other features. Typical Load Times: 5m chart, all features ON, 7 timeframes: ~2-3 seconds 5m chart, core features only, 3 timeframes: ~1 second 1m chart, all features: ~4-5 seconds (many bars to calculate) If loading takes longer, you likely have too many indicators on the chart total (not just this one). --- 10. FAQ Q: How is this different from standard UT Bot indicators? A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds: - Volume weighting and momentum adjustment to the trailing calculation - Multiple confirmation filters (swing, %, 2-bar, ZLSMA) - Smart composite stop loss system from multiple S/R layers - R-multiple take profit system with freeze-on-touch - Integration with multi-timeframe Bias Table - Visual audit trail with checkmarks Q: Can I use this for automated trading? A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required. Q: Does it repaint? A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead. Q: Do I need to use all the features? A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed. Q: How do I know which settings to use? A: Every single input has a detailed tooltip. Hover over any setting to see: What it does How it affects trading Typical values for scalping, day trading, swing trading Start with defaults, adjust gradually based on results. Q: Can I use this on crypto 24/7 markets? A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session". Q: The Bias Table is blank or not showing. A: Check: "Show Table" is ON Table position isn't overlapping another indicator's table (change position) At least one row is enabled "Hide BIAS table on 1D or above" is OFF (if on Daily+ chart) Q: Why are candlestick patterns not appearing? A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check: Pattern toggles are ON "Min candle body %" isn't too high (try 0.05-0.10) You're looking at a chart with actual reversals (not strong trending market) Q: UT Bot is too sensitive/not sensitive enough. A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance. Q: Can I get alerts for the Bias Table? A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation. Q: Does this work on stocks with low volume? A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements. Q: How often should I check the Bias Table? A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend. Q: What if UT signal and Base signal disagree? A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either: Wait for both to align (safest) Take the UT signal but with smaller size (aggressive) Skip the trade (conservative) There's no "right" answer - depends on your risk tolerance. --- FINAL NOTES The indicator gives you an edge. How you use that edge determines results. For questions, feedback, or support, comment on the indicator page or message the author. Happy Trading!

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Multiple Symbol Trend Screener [Pineify]Multiple Symbol Trend Screener Pineify – Ultimate Multi-Indicator Scanner for TradingView Empower your trading with deep market insights across multiple symbols using this feature-rich Pine Script screener. The Multiple Symbol Trend Screener Pineify enables traders to monitor and compare trends, reversals, and consolidations in real-time across the biggest equity symbols on TradingView, through a synergistic blend of popular technical indicators. Key Features Monitor up to 15 symbols and their trends simultaneously Integrates 7 professional-grade indicators: MA Distance, Aroon, Parabolic SAR (PSAR), ADX, Supertrend, Keltner Channel, and BBTrend Color-coded table display for instant visual assessment Customizable lookback periods, indicator types, and calculation methods SEO optimized for multi-symbol trend detection, screener, and advanced TradingView indicator How It Works This indicator leverages TradingView’s Pine Script v6 and request.security() to process multiple symbols across selected timeframes. Data populates a dynamic table, updating each cell based on the calculated value of every underlying indicator. MA Distance highlights deviation from moving averages; Aroon flags emerging trend strength; PSAR marks potential trend reversals; ADX assesses trend momentum; Supertrend detects bullish/bearish phases; Keltner Channel and BBTrend offer volatility and power insights. Set up your preferred symbols and timeframes Each indicator runs its calculation per symbol using its parameter group All results are displayed in a table for a comprehensive dashboard view Trading Ideas and Insights Traders can use this screener for cross-market comparison, directional bias, entry/exit filtering, and comprehensive trend evaluation. The screener is excellent for swing trading, day trading, and portfolio tracking. It enables confirmation across multiple frameworks — for example, spotting momentum with ADX before confirming direction with Supertrend and PSAR. Identify correlated movements or divergences across selected assets Spot synchronized trend changes for basket trading ideas Filter symbols by volatility, strength, or trend status for precise trade selection How Multiple Indicators Work Together The screener’s edge lies in its intelligent correlation of popular indicators. MA Distance measures the proximity to chosen moving averages, ideal for spotting overbought/oversold conditions. Aroon reveals the strength of new price trends, PSAR indicates reversal signals, and ADX quantifies the momentum of these trends. Supertrend provides a directional phase, while Keltner Channel & BBTrend analyze volatility shifts and band compressions. This amalgamation allows for a robust, multi-dimensional market snapshot, capturing details missed by single-indicator tools. By displaying all key metrics side-by-side, the screener enables holistic decision-making, revealing confluence zones and contradiction areas across multiple tickers and timeframes. Unique Aspects Original implementation combining seven independent trend and momentum indicators for each symbol Rich customization for symbols, timeframes, and all indicator parameters Intuitive color-coding for quick reading of bullish/bearish/neutral signals Comprehensive dashboard for instant actionable insights How to Use Load the indicator onto your TradingView chart Go to the script’s settings and input your preferred symbols and relevant timeframes Set your desired parameters for each indicator group: Moving Average type, Aroon length, PSAR values, ADX smoothing, etc. Observe the results in the top-right table, then use it to filter candidates and validate trade setups The screener is suitable for all timeframes and asset classes available on TradingView. Make sure your chart’s timeframe matches the one used in the scanner for optimal accuracy. Customization Choose up to 15 symbols to monitor in a single dashboard Customize lookback periods, indicator types, colors, and display settings Configure alerting options and thresholds for advanced trade automation Conclusion The Multiple Symbol Trend Screener Pineify sets a new standard for multi-asset screening on TradingView. By elegantly merging seven proven technical indicators, the screener delivers powerful trend detection, reversal analysis, and volatility monitoring — all in one dashboard. Take your trading to new heights with in-depth, customizable market surveillance.

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Strategy with Reference Lines 📊 Strategy with Reference Lines Description: This strategy uses a contrarian approach based on the analysis of the previous candle to identify entry and exit points. The strategy draws horizontal reference lines at important levels of the previous candle and generates buy/sell signals based on the candle's direction. Key Features: 🔹 Multi-Timeframe Analysis: Configurable for 1H, 2H, 3H, 4H, 6H, 12H, and 1D 🔹 Reference Lines: High, low, close, and midpoint (50%) of the previous candle 🔹 Visual Signals: Labels with prices and actions (BUY/SELL/TP) 🔹 Optional Trading: Enable/disable automatic order execution 🔹 Complete System: Automatic entry, Take Profit, and Stop Loss 🔹 Alerts: Notifications when a new candle is detected Strategy Logic: When the previous candle is POSITIVE: Signal: 🔴 SELL at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🔴 High of the previous candle When the previous candle is NEGATIVE: Signal: 🟢 BUY at the previous candle's close Take Profit: 🎯 Midpoint (50%) of the previous candle Stop Loss: 🟢 Low of the previous candle Visual Elements: Green Line: High of the previous candle (when positive) Red Line: Low of the previous candle (when negative) Yellow Line: Close of the previous candle (always present) Blue Line: Midpoint (50%) of the previous candle (always present) Labels: Prices and actions with emojis for easy identification Settings: Timeframe: Default 4H (configurable) Auto Trading: Disabled by default (safety) Alerts: Include entry prices, TP, and SL Recommended Usage: ✅ Visual Analysis: Use with trading disabled for analysis ✅ Backtesting: Enable trading to test historically ✅ Swing Trading: Ideal for 4H or higher timeframes ✅ Risk Management: Automatic SL and TP for protection Risk Disclaimer: This strategy is for educational and analysis purposes only. Always test in a simulation environment before using with real capital. Trading involves significant risks and may result in losses.

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RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.

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Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced 📊 ORIGINALITY & INNOVATION The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches. Key Advancements: Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA) Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases. 📐 MATHEMATICAL FOUNDATION Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands. Core Calculation Process: 1. Middle Band (Basis) Calculation: The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period: basis = ma(source, length, maType) Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others. 2. Average True Range (ATR) Calculation: ATR measures market volatility by calculating the average of true ranges over the specified period: trueRange = max(high - low, abs(high - close ), abs(low - close )) atrValue = ma(trueRange, atrLength, atrMaType) ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others. 3. Channel Calculation: Upper and lower channels are positioned at specified multiples of ATR from the basis: upperChannel = basis + (multiplier × atrValue) lowerChannel = basis - (multiplier × atrValue) Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility. Keltner Channel vs. Bollinger Bands - Key Differences: While both indicators create volatility-based channels, they use fundamentally different volatility measures: Keltner Channel (ATR-based): Uses Average True Range to measure actual price movement volatility Incorporates gaps and limit moves through true range calculation More stable in trending markets, less prone to extreme compression Better reflects intraday volatility and trading range Typically fewer band touches, making touches more significant More suitable for trend-following strategies Bollinger Bands (Standard Deviation-based): Uses statistical standard deviation to measure price dispersion Based on closing prices only, doesn't account for intraday range Can compress significantly during consolidation (squeeze patterns) More touches in ranging markets Better suited for mean-reversion strategies Provides statistical probability framework (95% within 2 standard deviations) Algorithm Combination Effects: The interaction between middle band MA type and ATR MA type creates different indicator characteristics: Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes 📊 COMPREHENSIVE SIGNAL ANALYSIS Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies. Channel Position Signals: Upper Channel Interaction: Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry Lower Channel Interaction: Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry Middle Band (Basis) Signals: Trend Direction Confirmation: Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs Pullback Trading Strategy: Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks Failed Test: Price breaking through middle band against trend direction signals potential reversal Volatility-Based Signals: Narrow Channels (Low Volatility): Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width Wide Channels (High Volatility): Trending Phase: Channels expand during strong directional moves and increased volatility Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal Advanced Pattern Recognition: Channel Walking Pattern: Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion Squeeze and Release Pattern: Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias) Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout Follow-Through: Measure squeeze height and project from breakout point for initial profit targets Channel Expansion Pattern: Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment Entry Timing: Enter positions early in expansion phase before trend becomes overextended Risk Management: Use channel width to size stops appropriately, wider channels require wider stops Basis Bounce Pattern: Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend Bounce Failure: Price penetrating basis signals weakening trend and potential reversal Divergence Analysis: Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction Reversal Signal: Divergences often precede trend reversals or significant consolidation periods Multi-Timeframe Analysis: Keltner Channels work particularly well in multi-timeframe trend-following approaches: Three-Timeframe Alignment: Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection Optimal Entry Conditions: Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels 🎯 STRATEGIC APPLICATIONS Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions. Trend Following Strategy: Setup Requirements: Identify established trend with price consistently on one side of basis line Wait for pullback to middle band (basis) or brief penetration through it Confirm trend resumption with price rejection at basis and move back toward outer channel Enter in trend direction with stop beyond basis line Entry Rules: Uptrend Entry: Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence) Enter long on rejection/bounce from basis with stop 1-2 ATR below basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Downtrend Entry: Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence) Enter short on rejection/reversal from basis with stop 1-2 ATR above basis Aggressive: Enter on first touch; Conservative: Wait for confirmation candle Trend Management: Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position Profit Taking: Take partial profits at opposite channel, move stops to basis Position Additions: Add to winners on subsequent basis bounces if trend intact Breakout Strategy: Setup Requirements: Identify consolidation period with contracting channel width Monitor price action near middle band with reduced volatility Wait for decisive breakout beyond channel range with expanding width Enter in breakout direction after confirmation Breakout Confirmation: Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state Volume increases significantly on breakout (if using volume analysis) Price sustains outside channel for multiple bars without immediate reversal Entry Approaches: Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop Volatility-Based Position Sizing: Adjust position sizing based on channel width (ATR-based volatility): Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value) Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops Algorithm Selection Guidelines: Different market conditions benefit from different algorithm combinations: Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following 📋 DETAILED PARAMETER CONFIGURATION Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches. Source Parameter: Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2 OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments Length Parameter: Controls the lookback period for middle band (basis) calculation: Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks. ATR Length Parameter: Controls the lookback period for Average True Range calculation, affecting channel width: Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels. Multiplier Parameter: Controls channel width by setting ATR multiples: Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier. MA Type Parameter (Middle Band): Critical selection that determines trend identification characteristics: EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions ATR MA Type Parameter: Determines how Average True Range is smoothed, affecting channel width stability: RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles Parameter Combination Strategies: Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions Offset Parameter: Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations. 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness. Response Characteristics: Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention Comparison with Traditional Keltner Channels: Enhanced Version Advantages: Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences Comprehensive Alerts: Enhanced alert system including channel expansion detection Traditional Version Advantages: Simplicity: Fewer parameters, easier to understand and implement Standardization: Fixed EMA/RMA combination ensures consistency across users Research Base: Decades of backtesting and research on standard configuration When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe. When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks. Performance Across Market Conditions: Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation Keltner Channel vs. Bollinger Bands - Usage Comparison: Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends. Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities. Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation. Limitations and Considerations: General Limitations: Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms Trend-Dependent: Works best in trending markets, less effective in choppy conditions No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation Enhanced Version Specific Considerations: Optimization Risk: More parameters increase risk of curve-fitting historical data Complexity: Additional choices may overwhelm beginning traders Backtesting Challenges: Different algorithms produce different historical results Mitigation Strategies: Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones Multi-Timeframe Analysis: Confirm signals across different timeframes Proper Risk Management: Use appropriate position sizing and stops Start Simple: Begin with standard EMA/RMA before exploring alternatives Optimal Usage Recommendations: For Maximum Effectiveness: Start with standard EMA/RMA configuration to understand classic behavior Experiment with alternatives on demo account or paper trading Match algorithm combination to market condition and trading style Use channel width analysis to identify market phases Combine with complementary indicators for confirmation Implement strict risk management using ATR-based position sizing Focus on high-quality setups rather than trading every signal Respect the trend: trade with basis direction for higher probability Complementary Indicators: RSI or Stochastic: Confirm momentum at channel extremes MACD: Confirm trend direction and momentum shifts Volume: Validate breakouts and trend strength ADX: Measure trend strength, avoid Keltner signals in weak trends Support/Resistance: Combine with traditional levels for high-probability setups Bollinger Bands: Use together for enhanced breakout and volatility analysis USAGE NOTES This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Key considerations: Always use multiple forms of analysis and confirmation before entering trades Backtest any parameter combination thoroughly before live trading Be aware that optimization can lead to curve-fitting if not done carefully Start with standard EMA/RMA settings and adjust only when specific conditions warrant Understand that no moving average algorithm can eliminate lag entirely Consider market regime (trending, ranging, volatile) when selecting parameters Use ATR-based position sizing and risk management on every trade Keltner Channels work best in trending markets, less effective in choppy conditions Respect the trend direction indicated by price position relative to basis line The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.

Chỉ báo Pine Script®

Ichimoku Screener [Pineify]Advanced Multi-Timeframe Ichimoku Screener - Complete Market Analysis Tool This sophisticated Ichimoku Screener represents a comprehensive approach to multi-timeframe market analysis, combining four distinct Ichimoku-based indicators into a unified screening system. Unlike traditional single-symbol indicators, this screener provides simultaneous analysis across multiple assets and timeframes, enabling traders to identify optimal trading opportunities with enhanced precision and efficiency. Key Features Multi-asset screening capability for up to 10 symbols simultaneously Four customizable timeframes per symbol for comprehensive analysis Four integrated Ichimoku-based indicators working in harmony Real-time visual feedback with color-coded signals Customizable Ichimoku parameters for personalized analysis Clean, organized table display for easy interpretation Automated signal strength assessment and timing How It Works The screener employs the traditional Ichimoku Kinko Hyo methodology, utilizing five core components: Conversion Line (Tenkan-sen), Base Line (Kijun-sen), Leading Span A (Senkou Span A), Leading Span B (Senkou Span B), and displacement calculations. Each component is mathematically calculated using specific period lengths: Conversion Line = (Highest High + Lowest Low) / 2 over conversion period Base Line = (Highest High + Lowest Low) / 2 over base period Leading Span A = (Conversion Line + Base Line) / 2 Leading Span B = (Highest High + Lowest Low) / 2 over lagging span period The screener processes these calculations across multiple securities simultaneously using TradingView's security() function, enabling real-time cross-asset analysis. The system tracks state changes using barssince() functions to provide precise timing information for each signal type. Trading Ideas and Insights This screener excels in identifying momentum convergence patterns where multiple Ichimoku components align across different timeframes. The most powerful signals occur when: Cloud color aligns with price position relative to the cloud Conversion Line crosses above/below Base Line in the same direction as cloud bias Multiple timeframes show consistent directional bias Entry signals appear with minimal bars since formation (indicating fresh momentum) For trend following strategies , focus on symbols where the cloud maintains consistent color across higher timeframes while showing recent entry signals on lower timeframes. For reversal opportunities , identify assets where cloud color changes coincide with price re-entering the cloud after extended periods above or below. The screener particularly excels in cryptocurrency and forex markets where momentum shifts can be dramatic and sustained. By monitoring multiple timeframes simultaneously, traders can identify when short-term signals align with longer-term trends, significantly improving trade success probability. How Multiple Indicators Work Together The four integrated indicators create a comprehensive analytical framework through synergistic interaction: Ichimoku Cloud (IchiCld) establishes the primary trend bias by comparing Leading Span A with Leading Span B. When Span A > Span B, the cloud displays bullish characteristics; when Span A < Span B, bearish characteristics emerge. The indicator tracks duration since the last cloud color change, providing momentum persistence insight. Ichimoku Lagging Cloud (IchiLagCld) determines price position relative to the displaced cloud formation. This indicator identifies whether current price action occurs above, below, or within the cloud structure, revealing support/resistance dynamics and trend confirmation signals. Conversion vs Base (IchiC>Base) monitors the relationship between short-term (Conversion Line) and medium-term (Base Line) momentum. Crossovers in this relationship often precede significant price movements and provide early trend change warnings. Ichimoku Entry (IchiEnt) synthesizes all components into actionable signals by requiring alignment between cloud bias, price position, and conversion/base relationship. This multi-factor confirmation approach significantly reduces false signals while maintaining sensitivity to genuine momentum shifts. The mathematical foundation ensures that each indicator contributes unique information while maintaining logical consistency. The system's strength lies in requiring multiple confirmations before generating entry signals, following Ichimoku's original philosophy of comprehensive market analysis. Unique Aspects This implementation distinguishes itself through several innovative features: Advanced State Tracking : Unlike standard Ichimoku indicators that show current values, this screener tracks duration since state changes , providing crucial timing information for signal freshness and momentum strength assessment. Multi-Asset Efficiency : The screener eliminates the need to manually check multiple charts by presenting comparative analysis across assets and timeframes in a single view, dramatically improving analytical efficiency. Customizable Visual Feedback : The color-coding system adapts to different signal types and strengths, with recent signals receiving enhanced visual prominence to draw attention to fresh opportunities. Professional Table Architecture : The organized display accommodates up to 40 symbol-timeframe combinations (10 symbols × 4 timeframes), with intelligent pagination for optimal screen utilization. Signal Correlation Analysis : By displaying multiple timeframes for each symbol, traders can quickly identify timeframe confluence and divergence patterns that would otherwise require extensive manual analysis. How to Use Symbol Configuration : Enter up to 10 symbols in the Symbol input group. Use full exchange:ticker format for optimal compatibility (e.g., "BINANCE:BTCUSDT"). Timeframe Selection : Configure four timeframes in ascending order for logical analysis progression. Recommended combinations include 1m/5m/15m/1h for intraday analysis or 1h/4h/1D/1W for swing trading. Ichimoku Parameters : Adjust the four core parameters based on your trading style: Conversion Line Length (default: 9) - Controls short-term momentum sensitivity Base Line Length (default: 26) - Determines medium-term trend identification Leading Span B Length (default: 52) - Sets long-term trend calculation period Displacement (default: 26) - Controls forward projection of cloud structure Signal Interpretation : Green backgrounds indicate bullish conditions Red backgrounds indicate bearish conditions Numerical values show bars since last state change "L:" prefix indicates long entry signals "S:" prefix indicates short entry signals "N/A" indicates neutral/transitional states Trading Workflow : Scan for symbols showing consistent signals across multiple timeframes, prioritize fresh signals (low bar counts), and use individual charts for precise entry timing and risk management. Customization The screener accommodates various trading approaches through parameter adjustment: Scalping Configuration : Use shorter periods (Conversion: 5, Base: 13, Span B: 26) with 1m/3m/5m/15m timeframes for high-frequency opportunities. Swing Trading Setup : Employ standard parameters with 4h/1D/3D/1W timeframes for position trading across days or weeks. Cryptocurrency Optimization : Given crypto's 24/7 nature, consider using 4h/8h/1D/3D combinations for optimal signal timing. Symbol selection can focus on correlated assets (e.g., major cryptocurrencies) for sector analysis or diverse assets for portfolio opportunity identification. The flexible timeframe configuration allows adaptation to any market's characteristic volatility and trading patterns. Conclusion This Advanced Multi-Timeframe Ichimoku Screener transforms traditional single-chart analysis into a comprehensive market monitoring system. By integrating multiple Ichimoku components across various timeframes and assets, it provides traders with unprecedented analytical efficiency and signal reliability. The mathematical rigor of traditional Ichimoku analysis combines with modern Pine Script capabilities to deliver a professional-grade screening tool. Whether used for identifying trend continuation opportunities, spotting potential reversals, or conducting broad market analysis, this screener offers the analytical depth and practical functionality required for serious trading applications. The system's emphasis on signal confluence across multiple timeframes and indicators significantly improves trade selection quality while reducing analysis time. For traders seeking to leverage Ichimoku's proven methodology across multiple markets simultaneously, this screener represents an essential analytical upgrade to traditional single-symbol approaches.

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Alt buy signal 1H Entry + 4H Confirm (MACD + Stoch RSI + HMA)This indicator is a multi-timeframe (MTF) analysis tool designed for the ALT trading , capturing entry signals on the 1-hour (1H) timeframe and confirming trends on the 4-hour (4H) timeframe. It combines MACD, Stoch RSI, and Hull Moving Average (HMA) to identify precise buy opportunities, particularly at reversal points after a downtrend or during trend shifts. It visually marks both past and current BUY signals for easy reference. Key Features: 1H Entry Signal (Early Ping): Triggers on a MACD golden cross (below 0) combined with a Stoch RSI oversold cross (below 20), offering an initial buy opportunity. 4H Trend Confirmation (Entry Ready): Validates the trend with a 4H MACD histogram rising (in negative territory) or a golden cross, plus a Stoch RSI turn-up (above 30). Past BUY Display: Labels past data points where these conditions were met as "1H BUY" or "FULL BUY," facilitating backtesting. HMA Filter: Optional HMA(16) to confirm price breakouts, enhancing trend validation. Purpose: Ideal for short-term scalping and swing trading. Supports a two-step strategy: initial partial entry on 1H signals, followed by additional entry on 4H confirmation. Usage Instructions Installation: Add the indicator to an IMX/USDT 1H chart on TradingView. Signal Interpretation: lime "1H BUY": 1H conditions met, consider initial entry (stop-loss: 3-5% below recent low). green "FULL BUY": 1H+4H conditions met, confirm trend for additional entry (take-profit: 10% below recent swing high). Customization: Adjust TF (1H/4H), MACD/Stoch RSI parameters, and HMA usage via the input settings. Alert Setup: Enable alerts for "ENTRY READY" (1H+4H) or "EARLY PING" (1H only) conditions. Advantages Accuracy: Reduces false signals by combining MACD golden cross below 0 with Stoch RSI oversold conditions. Dual Confirmation: 1H for quick timing and 4H for trend validation, improving risk management. Visualization: Past BUY points enable easy backtesting and pattern recognition. Flexibility: 4H confirmation mode adjustable (histogram rise or golden cross). Limitations Timeframe Dependency: Optimized for 1H charts; may not work on other timeframes. Market Conditions: Potential whipsaws in sideways markets; additional filters (e.g., RSI > 50) recommended. Manual Management: Stop-loss and take-profit require user discretion.

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Candle Opens by HAZED 🎯 Candle Opens by HAZED - Multi-Timeframe Open Levels Indicator 📊 Overview This powerful indicator displays multiple timeframe opening prices on your chart, providing crucial reference levels that institutional traders and algorithms frequently monitor. Track up to 7 different timeframe opens simultaneously, from 1-hour to yearly, with advanced visualization features including dynamic coloring, heatmap analysis, and real-time status tracking. ✨ Key Features 📈 Multi-Timeframe Support: - 1H, 4H, Daily, Weekly, Monthly, Quarterly, and Yearly opens - Each timeframe can be individually enabled/disabled - Automatic visibility adjustment based on chart timeframe 🎨 Dynamic Visual System: - Smart Color Coding: Lines automatically change color based on price position (green above, red below) - Customizable Styling: Adjust line thickness, transparency, and colors - Intelligent Line Positioning: Choose between equal-length or staggered lines for better visibility - Enhanced Labels: Display timeframe only or include price with colored background 🌈 Advanced Heatmap: - Background coloring shows overall market sentiment across all timeframes - Gradient or solid color modes - Instantly see when multiple timeframes align bullish or bearish 📊 Status Table Dashboard: - Real-time overview of all active opens - Shows current price position relative to each open - Simplified view when all timeframes align - Customizable position and font style ⚙️ Professional Tools: - Alert system for new open levels - Extended hours session support - Price discovery mode for EOD/intraday discrepancies - Left/right line extensions for enhanced visibility 💡 Trading Applications Support & Resistance: Opening prices act as natural support/resistance levels. Price often reacts at these levels, providing entry/exit opportunities. Trend Confirmation: When price is above multiple opens (especially higher timeframes), it confirms bullish momentum. The opposite indicates bearish pressure. Mean Reversion: Price tends to revert to significant opens, particularly daily and weekly levels. Use these as targets for counter-trend trades. Breakout Trading: Monitor when price breaks above/below clustered opens for potential continuation moves. Risk Management: Use opens as logical stop-loss levels or position sizing references based on distance from key opens. 🔧 Indicator Settings Timeframes Section: - Toggle each timeframe on/off - Customize individual colors Visual Style Section: - Dynamic Colors: Auto-color based on price position - Line Thickness: 1-4 pixels - Transparency: 0-80% - Extension Length: How far lines extend right - Label Style: Plain or enhanced with price Heatmap Section: - Enable/disable background coloring - Adjust transparency - Choose gradient or solid zones Status Table Section: - Position on chart - Font selection Advanced Section: - Enable alerts for new opens - Price discovery mode - Extended hours inclusion ]📈 Best Practices 1. Timeframe Selection: - For intraday: Focus on 1H, 4H, and Daily - For swing trading: Daily, Weekly, Monthly - For position trading: Monthly, Quarterly, Yearly 2. Color Coding: - Enable dynamic colors for instant sentiment reading - Use heatmap for overall market bias 3. Confluence Zones: - Pay special attention when multiple opens cluster - These zones often produce stronger reactions 4. Alignment Signals: - When all timeframes show same color = strong trend - Mixed colors = potential consolidation or reversal zone 🎯 Pro Tips - Volume Confirmation: Combine with volume indicators to confirm reactions at open levels - Multiple Instruments: Compare opens across correlated assets for divergences - News Events: Opens often act as magnets after major news releases - Options Trading: Weekly and monthly opens align with options expiry levels - Algorithmic Levels: Many algorithms use these opens for entries/exits 🔄 Updates in Version 8.3 - Added 1H and 4H timeframe support - Enhanced dynamic color system - Implemented heatmap visualization - Added real-time status table - Optimized performance for smoother operation - Improved label styling options - Better yearly timeframe detection ⚡ Performance Optimizations This indicator uses advanced Pine Script v6 features for optimal performance: - Efficient object reuse instead of recreation - Smart calculation loops - Minimal repainting - Optimized for real-time updates 📝 Notes - Works on all markets (stocks, forex, crypto, futures) - Best on timeframes lower than the opens you're tracking - Lines automatically hide when their timeframe is lower than chart timeframe - Past opens are not displayed (indicator shows current opens only) 🙏 Credits & Support Created by HAZED | Version 8.3 Optimized for TradingView Pine Script v6 For questions, suggestions, or bug reports, please comment below. If you find this indicator useful, please consider leaving a like and a follow! Remember: No indicator is perfect. Always use proper risk management and combine multiple confirmation signals in your trading decisions.

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bởi hazedoptions

VWAP Momentum Oscillator How It Works Core Calculation Method The oscillator combines four key market measurements into a single, normalized reading: 1. Price-VWAP Deviation: `(Close - VWAP) / VWAP × 100` 2. VWAP-MA Momentum: `(VWAP - MovingAverage) / MovingAverage × 100` 3. Anchored VWAP Strength: Average of high/low anchor deviations from rolling VWAP 4. Range Position: `(Close - PeriodLow) / (PeriodHigh - PeriodLow) × 100 - 50` Dynamic Signal Line The signal line uses an EMA that automatically adjusts its length based on your chart timeframe: - Futures: Always covers 23 hours of trading (1,380 minutes) - Stocks: Always covers 6.5 hours of trading (390 minutes) - Examples: 276 periods on 5-min futures chart, 1,380 periods on 1-min futures chart Trading Signals 🟢 Buy Signals - Condition: Main oscillator crosses above signal line while below zero - Logic: Momentum turning bullish from oversold conditions - Visual: Green "BUY" label below price action 🔴 Sell Signals - Condition: Main oscillator crosses below signal line while above zero - Logic: Momentum turning bearish from overbought conditions - Visual: Red "SELL" label above price action ⚠️ Extreme Warnings - Extreme Overbought: Red triangle when oscillator crosses above +4.0 - Extreme Oversold: Green triangle when oscillator crosses below -4.0 - Purpose: Risk management alerts, not entry/exit signals Oscillator Zones Interpretation Guide - Above +2.0: Strong bullish momentum zone (green background) - 0 to +2.0: Mild bullish territory - 0 to -2.0: Mild bearish territory - Below -2.0: Strong bearish momentum zone (red background) - Above +4.0: Extreme overbought (caution advised) - Below -4.0: Extreme oversold (potential reversal zone) Customization Options Moving Average Settings - EMA/SMA Toggle: Choose between exponential or simple moving average - Color Customization: Adjust MA line color and width Visual Controls - Bullish/Bearish Colors: Customize momentum zone colors - Signal Line: Toggle visibility and adjust color - Line Widths: Control thickness of all plot lines Anchor Modes - NY Session Only: Anchors reset at NY market open (9:30 AM ET) - 24H NY Day: Anchors reset at NY calendar day change (midnight ET) Best Practices Timeframe Selection - Scalping: 1-5 minute charts for quick momentum changes - Day Trading: 5-15 minute charts for clearer trend signals - Swing Trading: 1-4 hour charts for major momentum shifts Signal Confirmation - Wait for crossovers: Don't trade on oscillator position alone - Respect extreme levels: Exercise caution above +4 or below -4 - Use with price action: Combine with support/resistance levels Risk Management - Extreme zones: Reduce position size when oscillator is extended - Failed signals: Exit quickly if momentum doesn't follow through - Market context: Consider overall trend direction and market volatility Technical Specifications Calculation Components - Base Length: 1,380 periods (futures) / 390 periods (stocks) - Signal Line: Dynamic EMA covering one full trading day - Smoothing: 3-period SMA on raw oscillator (adjustable) - Update Frequency: Real-time on every price tick Performance Notes - Resource Efficient: Optimized calculations minimize CPU usage - Memory Friendly: Uses incremental VWAP calculations - Fast Loading: Minimal historical data requirements Version History & Development This oscillator evolved from advanced VWAP overlay strategies, transforming complex multi-line analysis into a single, actionable momentum gauge. The indicator maintains the sophistication of institutional VWAP analysis while providing the clarity needed for retail trading decisions. Core Philosophy Traditional VWAP indicators show where price is relative to volume-weighted averages, but they don't quantify momentum or provide clear entry/exit signals. This oscillator solves that problem by normalizing all VWAP relationships into a single, bounded indicator that works consistently across all timeframes and asset classes. --- Open Source License: This indicator is provided free for the TradingView community. Feel free to modify and enhance according to your trading needs.

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bởi PrestigeWorldwideTradingCo

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BOCS Adaptive BOCS Adaptive Strategy - Automated Volatility Breakout System WHAT THIS STRATEGY DOES: This is an automated trading strategy that detects consolidation patterns through volatility analysis and executes trades when price breaks out of these channels. Take-profit and stop-loss levels are calculated dynamically using Average True Range (ATR) to adapt to current market volatility. The strategy closes positions partially at the first profit target and exits the remainder at the second target or stop loss. TECHNICAL METHODOLOGY: Price Normalization Process: The strategy begins by normalizing price to create a consistent measurement scale. It calculates the highest high and lowest low over a user-defined lookback period (default 100 bars). The current close price is then normalized using the formula: (close - lowest_low) / (highest_high - lowest_low). This produces values between 0 and 1, allowing volatility analysis to work consistently across different instruments and price levels. Volatility Detection: A 14-period standard deviation is applied to the normalized price series. Standard deviation measures how much prices deviate from their average - higher values indicate volatility expansion, lower values indicate consolidation. The strategy uses ta.highestbars() and ta.lowestbars() functions to track when volatility reaches peaks and troughs over the detection length period (default 14 bars). Channel Formation Logic: When volatility crosses from a high level to a low level, this signals the beginning of a consolidation phase. The strategy records this moment using ta.crossover(upper, lower) and begins tracking the highest and lowest prices during the consolidation. These become the channel boundaries. The duration between the crossover and current bar must exceed 10 bars minimum to avoid false channels from brief volatility spikes. Channels are drawn using box objects with the recorded high/low boundaries. Breakout Signal Generation: Two detection modes are available: Strong Closes Mode (default): Breakout occurs when the candle body midpoint math.avg(close, open) exceeds the channel boundary. This filters out wick-only breaks. Any Touch Mode: Breakout occurs when the close price exceeds the boundary. When price closes above the upper channel boundary, a bullish breakout signal generates. When price closes below the lower boundary, a bearish breakout signal generates. The channel is then removed from the chart. ATR-Based Risk Management: The strategy uses request.security() to fetch ATR values from a specified timeframe, which can differ from the chart timeframe. For example, on a 5-minute chart, you can use 1-minute ATR for more responsive calculations. The ATR is calculated using ta.atr(length) with a user-defined period (default 14). Exit levels are calculated at the moment of breakout: Long Entry Price = Upper channel boundary Long TP1 = Entry + (ATR × TP1 Multiplier) Long TP2 = Entry + (ATR × TP2 Multiplier) Long SL = Entry - (ATR × SL Multiplier) For short trades, the calculation inverts: Short Entry Price = Lower channel boundary Short TP1 = Entry - (ATR × TP1 Multiplier) Short TP2 = Entry - (ATR × TP2 Multiplier) Short SL = Entry + (ATR × SL Multiplier) Trade Execution Logic: When a breakout occurs, the strategy checks if trading hours filter is satisfied (if enabled) and if position size equals zero (no existing position). If volume confirmation is enabled, it also verifies that current volume exceeds 1.2 times the 20-period simple moving average. If all conditions are met: strategy.entry() opens a position using the user-defined number of contracts strategy.exit() immediately places a stop loss order The code monitors price against TP1 and TP2 levels on each bar When price reaches TP1, strategy.close() closes the specified number of contracts (e.g., if you enter with 3 contracts and set TP1 close to 1, it closes 1 contract). When price reaches TP2, it closes all remaining contracts. If stop loss is hit first, the entire position exits via the strategy.exit() order. Volume Analysis System: The strategy uses ta.requestUpAndDownVolume(timeframe) to fetch up volume, down volume, and volume delta from a specified timeframe. Three display modes are available: Volume Mode: Shows total volume as bars scaled relative to the 20-period average Comparison Mode: Shows up volume and down volume as separate bars above/below the channel midline Delta Mode: Shows net volume delta (up volume - down volume) as bars, positive values above midline, negative below The volume confirmation logic compares breakout bar volume to the 20-period SMA. If volume ÷ average > 1.2, the breakout is classified as "confirmed." When volume confirmation is enabled in settings, only confirmed breakouts generate trades. INPUT PARAMETERS: Strategy Settings: Number of Contracts: Fixed quantity to trade per signal (1-1000) Require Volume Confirmation: Toggle to only trade signals with volume >120% of average TP1 Close Contracts: Exact number of contracts to close at first target (1-1000) Use Trading Hours Filter: Toggle to restrict trading to specified session Trading Hours: Session input in HHMM-HHMM format (e.g., "0930-1600") Main Settings: Normalization Length: Lookback bars for high/low calculation (1-500, default 100) Box Detection Length: Period for volatility peak/trough detection (1-100, default 14) Strong Closes Only: Toggle between body midpoint vs close price for breakout detection Nested Channels: Allow multiple overlapping channels vs single channel at a time ATR TP/SL Settings: ATR Timeframe: Source timeframe for ATR calculation (1, 5, 15, 60, etc.) ATR Length: Smoothing period for ATR (1-100, default 14) Take Profit 1 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 2.0) Take Profit 2 Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 3.0) Stop Loss Multiplier: Distance from entry as multiple of ATR (0.1-10.0, default 1.0) Enable Take Profit 2: Toggle second profit target on/off VISUAL INDICATORS: Channel boxes with semi-transparent fill showing consolidation zones Green/red colored zones at channel boundaries indicating breakout areas Volume bars displayed within channels using selected mode TP/SL lines with labels showing both price level and distance in points Entry signals marked with up/down triangles at breakout price Strategy status table showing position, contracts, P&L, ATR values, and volume confirmation status HOW TO USE: For 2-Minute Scalping: Set ATR Timeframe to "1" (1-minute), ATR Length to 12, TP1 Multiplier to 2.0, TP2 Multiplier to 3.0, SL Multiplier to 1.5. Enable volume confirmation and strong closes only. Use trading hours filter to avoid low-volume periods. For 5-15 Minute Day Trading: Set ATR Timeframe to match chart or use 5-minute, ATR Length to 14, TP1 Multiplier to 2.0, TP2 Multiplier to 3.5, SL Multiplier to 1.2. Volume confirmation recommended but optional. For Hourly+ Swing Trading: Set ATR Timeframe to 15-30 minute, ATR Length to 14-21, TP1 Multiplier to 2.5, TP2 Multiplier to 4.0, SL Multiplier to 1.5. Volume confirmation optional, nested channels can be enabled for multiple setups. BACKTEST CONSIDERATIONS: Strategy performs best during trending or volatility expansion phases Consolidation-heavy or choppy markets produce more false signals Shorter timeframes require wider stop loss multipliers due to noise Commission and slippage significantly impact performance on sub-5-minute charts Volume confirmation generally improves win rate but reduces trade frequency ATR multipliers should be optimized for specific instrument characteristics COMPATIBLE MARKETS: Works on any instrument with price and volume data including forex pairs, stock indices, individual stocks, cryptocurrency, commodities, and futures contracts. Requires TradingView data feed that includes volume for volume confirmation features to function. KNOWN LIMITATIONS: Stop losses execute via strategy.exit() and may not fill at exact levels during gaps or extreme volatility request.security() on lower timeframes requires higher-tier TradingView subscription False breakouts inherent to breakout strategies cannot be completely eliminated Performance varies significantly based on market regime (trending vs ranging) Partial closing logic requires sufficient position size relative to TP1 close contracts setting RISK DISCLOSURE: Trading involves substantial risk of loss. Past performance of this or any strategy does not guarantee future results. This strategy is provided for educational purposes and automated backtesting. Thoroughly test on historical data and paper trade before risking real capital. Market conditions change and strategies that worked historically may fail in the future. Use appropriate position sizing and never risk more than you can afford to lose. Consider consulting a licensed financial advisor before making trading decisions. ACKNOWLEDGMENT & CREDITS: This strategy is built upon the channel detection methodology created by AlgoAlpha in the "Smart Money Breakout Channels" indicator. Full credit and appreciation to AlgoAlpha for pioneering the normalized volatility approach to identifying consolidation patterns and sharing this innovative technique with the TradingView community. The enhancements added to the original concept include automated trade execution, multi-timeframe ATR-based risk management, partial position closing by contract count, volume confirmation filtering, and real-time position monitoring.

Chỉ báo Pine Script®

bởi TradeManager_PRO

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AVGO Advanced Day Trading Strategy 📈 Overview The AVGO Advanced Day Trading Strategy is a comprehensive, multi-timeframe trading system designed for active day traders seeking consistent performance with robust risk management. Originally optimized for AVGO (Broadcom), this strategy adapts well to other liquid stocks and can be customized for various trading styles. 🎯 Key Features Multiple Entry Methods EMA Crossover: Classic trend-following signals using fast (9) and medium (16) EMAs MACD + RSI Confluence: Momentum-based entries combining MACD crossovers with RSI positioning Price Momentum: Consecutive price action patterns with EMA and RSI confirmation Hybrid System: Advanced multi-trigger approach combining all methodologies Advanced Technical Arsenal When enabled, the strategy analyzes 8+ additional indicators for confluence: Volume Price Trend (VPT): Measures volume-weighted price momentum On-Balance Volume (OBV): Tracks cumulative volume flow Accumulation/Distribution Line: Identifies institutional money flow Williams %R: Momentum oscillator for entry timing Rate of Change Suite: Multi-timeframe momentum analysis (5, 14, 18 periods) Commodity Channel Index (CCI): Cyclical turning points Average Directional Index (ADX): Trend strength measurement Parabolic SAR: Dynamic support/resistance levels 🛡️ Risk Management System Position Sizing Risk-based position sizing (default 1% per trade) Maximum position limits (default 25% of equity) Daily loss limits with automatic position closure Multiple Profit Targets Target 1: 1.5% gain (50% position exit) Target 2: 2.5% gain (30% position exit) Target 3: 3.6% gain (20% position exit) Configurable exit percentages and target levels Stop Loss Protection ATR-based or percentage-based stop losses Optional trailing stops Dynamic stop adjustment based on market volatility 📊 Technical Specifications Primary Indicators EMAs: 9 (Fast), 16 (Medium), 50 (Long) VWAP: Volume-weighted average price filter RSI: 6-period momentum oscillator MACD: 8/13/5 configuration for faster signals Volume Confirmation Volume filter requiring 1.6x average volume 19-period volume moving average baseline Optional volume confirmation bypass Market Structure Analysis Bollinger Bands (20-period, 2.0 multiplier) Squeeze detection for breakout opportunities Fractal and pivot point analysis ⏰ Trading Hours & Filters Time Management Configurable trading hours (default: 9:30 AM - 3:30 PM EST) Weekend and holiday filtering Session-based trade management Market Condition Filters Trend alignment requirements VWAP positioning filters Volatility-based entry conditions 📱 Visual Features Information Dashboard Real-time display of: Current entry method and signals Bullish/bearish signal counts RSI and MACD status Trend direction and strength Position status and P&L Volume and time filter status Chart Visualization EMA plots with customizable colors Entry signal markers Target and stop level lines Background color coding for trends Optional Bollinger Bands and SAR display 🔔 Alert System Entry Alerts Customizable alerts for long and short entries Method-specific alert messages Signal confluence notifications Advanced Alerts Strong confluence threshold alerts Custom alert messages with signal counts Risk management alerts ⚙️ Customization Options Strategy Parameters Enable/disable long or short trades Adjustable risk parameters Multiple entry method selection Advanced indicator on/off toggle Visual Customization Color schemes for all indicators Dashboard position and size options Show/hide various chart elements Background color preferences 📋 Default Settings Initial Capital: $100,000 Commission: 0.1% Default Position Size: 10% of equity Risk Per Trade: 1.0% RSI Length: 6 periods MACD: 8/13/5 configuration Stop Loss: 1.1% or ATR-based 🎯 Best Use Cases Day Trading: Designed for intraday opportunities Swing Trading: Adaptable for longer-term positions Momentum Trading: Excellent for trending markets Risk-Conscious Trading: Built-in risk management protocols ⚠️ Important Notes Paper Trading Recommended: Test thoroughly before live trading Market Conditions: Performance varies with market volatility Customization: Adjust parameters based on your risk tolerance Educational Purpose: Use as a learning tool and customize for your needs 🏆 Performance Features Detailed performance metrics Trade-by-trade analysis capability Customizable risk/reward ratios Comprehensive backtesting support This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and consider your financial situation before trading.

Chiến lược Pine Script®

Fiery River ### Description of the "Fiery River" (FR) Indicator **Overview of the Indicator** "Fiery River" (abbreviated as FR) is a technical indicator for TradingView, written in Pine Script version 6. It's designed for traders who incorporate Fibonacci levels with moving averages to analyze support and resistance zones. The indicator dynamically plots levels based on a selected moving average (MA) and Fibonacci multipliers, displaying them on the current timeframe and an additional secondary timeframe. This helps visualize potential reversal or continuation points, making analysis more comprehensive. The name "Fiery River" evokes a "fiery" flow of levels that "stream" across the chart, adapting to price movements. 🔥 **Key Features** - **Level Construction**: The indicator calculates a moving average (EMA, SMA, WMA, RMA, or HMA) from the closing price and multiplies it by specified Fibonacci coefficients (0.618, 0.5, 0.382, 0.27, 0.18 for "long" levels and 1.618, 1.5, 1.382 for "short" levels). This creates 10 lines: 5 for the current timeframe (fully visible) and 5 for the secondary timeframe (with semi-transparency for distinction). - **Color Scheme**: Levels are colored in gray, red, orange, and green, with additional "short" variants for extensions. - **Fills**: Green fills are added between level pairs to highlight areas of interest, making the chart more visually intuitive. - **Alerts**: Automatic notifications when the price touches levels (e.g., "Price touches Red line"), helping you stay on top of key moments. - **Multi-Timeframe Support**: Incorporates a secondary timeframe (e.g., daily if the main is hourly) for comparing levels across different scales. **How to Use** 1. Add the indicator to your chart in TradingView. 2. Customize settings in the panel: Select MA type, period (default 89), secondary timeframe, and Fibonacci coefficients. 3. Analyze levels as potential entry/exit points: Gray and red for stronger zones, green for weaker ones. Use fills to identify ranges. 4. Enable alerts for real-time signals. It's ideal for strategies based on Fibonacci and trends, but always combine with other tools for confirmation. 📈 **Advantages and Limitations** - **Pros**: Highly customizable, visually clear, supports multiple MA types and timeframes. Great for scalping and swing trading. - **Cons**: Can create a lot of lines on the chart, potentially overwhelming if not managed. May require testing for optimal settings on volatile assets. If you need any adjustments, more details, or help with the code, just let me know! 😊

Chỉ báo Pine Script®

Advanced Trading System - [WOLONG X DBG]Advanced Multi-Timeframe Trading System Overview This technical analysis indicator combines multiple established methodologies to provide traders with market insights across various timeframes. The system integrates SuperTrend analysis, moving average clouds, MACD-based candle coloring, RSI analysis, and multi-timeframe trend detection to suggest potential entry and exit opportunities for both swing and day trading approaches. Methodology The indicator employs a multi-layered analytical approach based on established technical analysis principles: Core Signal Generation SuperTrend Engine: Utilizes adaptive SuperTrend calculations with customizable sensitivity (1-20) combined with SMA confirmation filters to identify potential trend changes and continuations Braid Filter System: Implements moving average filtering using multiple MA types (McGinley Dynamic, EMA, DEMA, TEMA, Hull, Jurik, FRAMA) with percentage-based strength filtering to help reduce false signals Multi-Timeframe Analysis: Analyzes trend conditions across 10 different timeframes (1-minute to Daily) using EMA-based trend detection for broader market context Advanced Features MACD Candle Coloring: Applies dynamic 4-level candle coloring system based on MACD histogram momentum and signal line relationships for visual trend strength assessment RSI Analysis: Identifies potential reversal areas using RSI oversold/overbought conditions with SuperTrend confirmation Take Profit Analysis: Features dual-mode TP detection using statistical slope analysis and Parabolic SAR integration for exit timing analysis Key Components Signal Types Primary Signals: Green ▲ for potential long entries, Red ▼ for potential short entries with trend and SMA alignment Reversal Signals: Small circular indicators for RSI-based counter-trend possibilities Take Profit Markers: X-cross symbols indicating statistical TP analysis zones Pullback Signals: Purple arrows for potential trend continuation entries using Parabolic SAR Visual Elements 8-Layer MA Cloud: Customizable moving average cloud system with 3 color themes for trend visualization Real-Time Dashboard: Multi-timeframe trend analysis table showing bullish/bearish status across all timeframes Dynamic Candle Colors: 4-intensity MACD-based coloring system (ranging from light to strong trend colors) Entry/SL/TP Labels: Automatic calculation and display of suggested entry points, stop losses, and multiple take profit levels Usage Instructions Basic Configuration Sensitivity Setting: Start with default value 6 Increase (7-15) for more frequent signals in volatile markets Decrease (3-5) for higher quality signals in trending markets MA Filter Type: McGinley Dynamic recommended for smoother signals Filter Strength: Set to 80% for balanced filtering, adjust based on market conditions Signal Interpretation Long Entry: Green ▲ suggests when price crosses above SuperTrend with bullish SMA alignment Short Entry: Red ▼ suggests when price crosses below SuperTrend with bearish SMA alignment Reversal Opportunities: Small circles indicate RSI-based counter-trend analysis Take Profit Zones: X-crosses mark statistical TP areas based on slope analysis Dashboard Analysis Green Cells: Bullish trend detected on that timeframe Red Cells: Bearish trend detected on that timeframe Multi-Timeframe Confluence: Look for alignment across multiple timeframes for stronger signal confirmation Risk Management Features Automatic Calculations ATR-Based Stop Loss: Dynamic stop loss calculation using ATR multiplier (default 1.9x) Multiple Take Profit Levels: Three TP targets with 1:1, 1:2, and 1:3 risk-reward ratios Position Sizing Guidance: Entry labels display suggested price levels for order placement Confirmation Requirements Trend Alignment: Requires SuperTrend and SMA confirmation before signal generation Filter Validation: Braid filter must show sufficient strength before signals activate Multi-Timeframe Context: Dashboard provides broader market context for decision making Optimal Settings Timeframe Recommendations Scalping: 1M-5M charts with sensitivity 8-12 Day Trading: 15M-1H charts with sensitivity 6-8 Swing Trading: 4H-Daily charts with sensitivity 4-6 Market Conditions Trending Markets: Reduce sensitivity, increase filter strength Ranging Markets: Increase sensitivity, enable reversal signals High Volatility: Adjust ATR risk factor to 2.0-2.5 Advanced Features Customization Options MA Cloud Periods: 8 customizable periods for cloud layers (default: 2,6,11,18,21,24,28,34) Color Themes: Three professional color schemes plus transparent option Dashboard Position: 9 positioning options with 4 size settings Signal Filtering: Individual toggle controls for each signal type Technical Specifications Moving Average Types: 21 different MA calculations including advanced types (Jurik, FRAMA, VIDA, CMA) Pullback Detection: Parabolic SAR with customizable start, increment, and maximum values Statistical Analysis: Linear regression slope calculation for trend-based TP analysis Important Limitations Lagging Nature: Some signals may appear after potential entry points due to confirmation requirements Ranging Markets: May produce false signals during extended sideways price action High Volatility: Requires parameter adjustment during news events or unusual market conditions Computational Load: Multiple timeframe analysis may impact performance on slower devices No Guarantee: All signals are suggestions based on technical analysis and may be incorrect Educational Disclaimers This indicator is designed for educational and analytical purposes only. It represents a technical analysis tool based on mathematical calculations of historical price data and should not be considered as financial advice or trading recommendations. Risk Warning: Trading involves substantial risk of loss and is not suitable for all investors. Past performance of any trading system or methodology is not necessarily indicative of future results. The high degree of leverage can work against you as well as for you. Important Notes: Always conduct your own analysis before making trading decisions Use appropriate position sizing and risk management strategies Never risk more than you can afford to lose Consider your investment objectives, experience level, and risk tolerance Seek advice from qualified financial professionals when needed Performance Disclaimer: Backtesting results do not guarantee future performance. Market conditions change constantly, and what worked in the past may not work in the future. Always paper trade new strategies before risking real capital.

Chỉ báo Pine Script®

bởi ionmarpie

[delta2win] ShockSentinel Early Warnings 🚀 ShockSentinel Early Warnings — Advanced Multi-Symbol Shock Detection System 📊 UNIQUE METHODOLOGY: This indicator implements a proprietary concordance-based shock detection system that goes beyond simple price movement analysis. Unlike basic pump/dump detectors, it uses a sophisticated multi-symbol correlation algorithm to validate signals across multiple assets simultaneously, significantly reducing false positives while maintaining sensitivity to genuine market shocks. 🔬 TECHNICAL APPROACH: • Adaptive Threshold System: Automatically adjusts detection sensitivity based on timeframe using proprietary scaling algorithms: - 1m: 0.5% threshold (ultra-sensitive for scalping) - 3m: 1.0% threshold (high-frequency trading) - 5m: 2.0% threshold (short-term momentum) - 15m: 3.0% threshold (intraday swings) - 1h: 6.0% threshold (daily moves) - 4h+: 10.0% threshold (swing trading) • Dual Detection Modes: - Percent Mode: Calculates maximum percentage change within configurable lookback window (1-6 bars) using the formula: max(|(close - close ) / close * 100|) for i = 1 to window - ATR-Normalized Mode: Uses Average True Range for volatility-adjusted detection across different market regimes: max(|close - close | / ATR) for i = 1 to window • Concordance Algorithm: Proprietary multi-symbol validation system that requires minimum correlation count across up to 4 additional symbols, ensuring signals are validated by market-wide participation rather than isolated price movements • Non-Repainting Architecture: Optional bar-close confirmation prevents false signals from intraday noise while maintaining real-time alert capability for immediate response 🎯 MATHEMATICAL FOUNDATION: The core algorithm implements a sliding window maximum change detection: Percent Change Calculation: For each bar, the system calculates the maximum absolute percentage change over the specified window: - PctChange = (close - close ) / close * 100 - MaxPct = max(|PctChange |) for i = 1 to window - Signal triggers when MaxPct >= threshold ATR-Normalized Calculation: For volatility-adjusted detection: - ATRChange = (close - close ) / ATR - MaxATR = max(|ATRChange |) for i = 1 to window - Signal triggers when MaxATR >= ATR_multiplier Concordance Validation: - Requires minimum N symbols showing same directional movement - Validates signal strength through market participation - Reduces false signals from isolated price movements - Improves signal quality through correlation analysis ⚙️ ADVANCED FEATURES: • Preset System: 7 pre-configured strategies with optimized parameters: - Scalp (Ultra-Fast): 0.6x scaling, 2-bar window, real-time alerts - Aggressive: 0.7x scaling, 2-bar window, real-time alerts - Balanced: 1.0x scaling, 3-bar window, confirmed signals - Conservative: 1.3x scaling, 4-bar window, confirmed signals - Volatility-Adaptive: ATR mode, 7-period ATR, 2.5x multiplier - Momentum (Intraday): ATR mode, 10-period ATR, 2.0x multiplier - Swing (Slow): ATR mode, 14-period ATR, 2.8x multiplier • Real-time vs Confirmed: Choose between immediate alerts or bar-close confirmation • Visual Analytics: Integrated signal history table with concordance gauges and performance metrics • Professional Alerts: Multi-format alert system (Compact, Extended, Plain, CSV) with Telegram integration and customizable messaging 💡 UNIQUE VALUE PROPOSITION: Unlike simple price change detectors, this system provides: 1. Multi-Symbol Validation: Validates signals across multiple correlated assets, ensuring market-wide participation 2. Adaptive Thresholds: Automatically adjusts sensitivity based on timeframe and market conditions 3. Dual Signal Types: Provides both real-time and confirmed signal options for different trading styles 4. Comprehensive Analytics: Includes signal history, concordance gauges, and performance tracking 5. Advanced Concordance: Uses sophisticated correlation algorithms for signal validation 6. Professional Integration: Built-in Telegram support with customizable message formats 🔧 USAGE INSTRUCTIONS: 1. Select Preset: Choose appropriate strategy for your trading style and timeframe 2. Configure Symbols: Add up to 4 additional symbols for concordance validation 3. Set Concordance: Adjust minimum count (higher = more selective, lower = more sensitive) 4. Choose Mode: Select between real-time or confirmed signals based on your risk tolerance 5. Enable Alerts: Configure notification preferences and message formats 6. Monitor Performance: Use integrated tables to track signal quality and concordance 📈 PERFORMANCE CHARACTERISTICS: • Optimized for Crypto: Designed specifically for high-volatility cryptocurrency markets • Multi-Timeframe: Effective across all timeframes from 1-minute to 4-hour charts • False Signal Reduction: Multi-symbol validation significantly reduces false positives • Flexible Sensitivity: Adjustable thresholds allow customization for different market conditions • Real-time Capability: Provides immediate alerts for fast-moving markets • Confirmation Option: Bar-close confirmation for conservative trading approaches ⚠️ TECHNICAL CONSIDERATIONS: • Real-time Mode: May generate multiple alerts per bar; use cooldown settings to manage frequency • Data Dependencies: Concordance requires data availability for all configured symbols • Market Regimes: ATR mode provides better performance in varying volatility conditions • Signal Quality: Higher concordance requirements reduce false signals but may miss opportunities • Latency: request.security calls depend on data provider latency and availability 🎯 TARGET MARKETS: • Cryptocurrency Trading: High-volatility crypto markets with frequent shock events • Scalping: Short-term trading strategies requiring immediate signal detection • Swing Trading: Medium-term strategies benefiting from confirmed signals • Portfolio Management: Multi-asset correlation analysis for risk management • Algorithmic Trading: Systematic strategies requiring reliable signal validation 📊 SIGNAL INTERPRETATION: • Green Arrows (Pump): Upward price shock with sufficient concordance • Red Arrows (Dump): Downward price shock with sufficient concordance • Large Markers: Confirmed signals with high concordance • Small Markers: Early signals with lower concordance • Background Colors: Visual intensity based on concordance strength • Tables: Historical signal tracking with performance metrics

Chỉ báo Pine Script®

bởi delta2win

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HeatCandle HeatCandle - AOC Indicator ✨ Features 📊 Heat-Map Candles: Colors candles based on the price’s deviation from a Triangular Moving Average (TMA), creating a heat-map effect to visualize price zones. 📏 Zone-Based Coloring: Assigns colors to 20 distinct zones (Z0 to Z19) based on the percentage distance from the TMA, with customizable thresholds. ⚙️ Timeframe-Specific Zones: Tailored zone thresholds for 1-minute, 5-minute, 15-minute, 30-minute, 1-hour, and 4-hour timeframes for precise analysis. 🎨 Customizable Visuals: Gradient color scheme from deep blue (oversold) to red (overbought) for intuitive price movement interpretation. 🛠️ Adjustable Parameters: Configure TMA length and threshold multiplier to fine-tune sensitivity. 🛠️ How to Use Add to Chart: Apply the "HeatCandle - AOC" indicator on TradingView. Configure Inputs: TMA Length: Set the period for the Triangular Moving Average (default: 150). Threshold Multiplier: Adjust the multiplier to scale zone sensitivity (default: 1.0). Analyze: Observe colored candles on the chart, where colors indicate the price’s deviation from the TMA: Dark blue (Z0) indicates strong oversold conditions. Red (Z19) signals strong overbought conditions. Track Trends: Use the color zones to identify potential reversals, breakouts, or trend strength based on price distance from the TMA. 🎯 Why Use It? Visual Clarity: The heat-map candle coloring simplifies identifying overbought/oversold conditions at a glance. Timeframe Flexibility: Zone thresholds adapt to the selected timeframe, ensuring relevance across short and long-term trading. Customizable Sensitivity: Adjust TMA length and multiplier to match your trading style or market conditions. Versatile Analysis: Ideal for scalping, swing trading, or trend analysis when combined with other indicators. 📝 Notes Ensure sufficient historical data for accurate TMA calculations, especially with longer lengths. The indicator is most effective on volatile markets where price deviations are significant. Pair with momentum indicators (e.g., RSI, MACD) or support/resistance levels for enhanced trading strategies. Happy trading! 🚀📈

Chỉ báo Pine Script®

bởi AlchimistOfCrypto

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Multiple Colored Moving Averages MULTIPLE COLORED MOVING AVERAGES - USER GUIDE DISCLAIMER ---------- Both the code and this documentation were created heavily using artificial intelligence. I'm lazy... This indicator was inspired by repo32's "Moving Average Colored EMA/SMA" indicator. * What is this indicator? ----------------------- This is a TradingView indicator that displays up to 4 different moving averages on your chart simultaneously. Each moving average can be customized with different calculation methods, colors, and filtering options. Why would I use multiple moving averages? ----------------------------------------- - See trend direction across different timeframes at once - Identify support and resistance levels - Spot crossover signals between fast and slow MAs - Reduce false signals with filtering options - Compare how different MA types react to price action What moving average types are available? ---------------------------------------- 11 different types: - SMA: Simple average, equal weight to all periods - EMA: Exponential, more weight to recent prices - WMA: Weighted, linear weighting toward recent data - RMA: Running average, smooth like EMA - DEMA: Double exponential, reduced lag - TEMA: Triple exponential, even less lag - HMA: Hull, fast and smooth combination - VWMA: Volume weighted, includes volume data - LSMA: Least squares, based on linear regression - TMA: Triangular, double-smoothed - ZLEMA: Zero lag exponential, compensated for lag How do I set up the indicator? ------------------------------ Each MA has these settings: - Enable/Disable: Turn each MA on or off - Type: Choose from the 11 calculation methods - Length: Number of periods (21, 50, 100, 200 are common) - Smoothing: 0-10 levels of extra smoothing - Noise Filter: 0-5% to ignore small changes - Colors: Bullish (rising) and bearish (falling) colors - Line Width: 1-5 pixels thickness What does the smoothing feature do? ----------------------------------- Smoothing applies extra calculations to make the moving average line smoother. Higher levels reduce noise but make the MA respond slower to price changes. Use higher smoothing in choppy markets, lower smoothing in trending markets. What is the noise filter? -------------------------- The noise filter ignores small percentage changes in the moving average. For example, a 0.3% filter will ignore any MA movement smaller than 0.3%. This helps eliminate false signals from minor price fluctuations. When should I use this indicator? --------------------------------- - Trend analysis: See if market is going up, down, or sideways - Entry timing: Look for price bounces off MA levels - Exit signals: Watch for MA slope changes or crossovers - Support/resistance: MAs often act as dynamic levels - Multi-timeframe analysis: Use different lengths for different perspectives What are some good settings to start with? ------------------------------------------- Conservative approach: - MA 1: EMA 21 (short-term trend) - MA 2: SMA 50 (medium-term trend) - MA 3: SMA 200 (long-term trend) - Low noise filtering (0.1-0.3%) Active trading: - MA 1: HMA 9 (very responsive) - MA 2: EMA 21 (short-term) - MA 3: EMA 50 (medium-term) - Minimal or no smoothing How do I interpret the colors? ------------------------------ Each MA changes color based on its direction: - Bullish color: MA is rising (upward trend) - Bearish color: MA is falling (downward trend) - Gray: MA is flat or unchanged What should I look for in crossovers? ------------------------------------- - Golden Cross: Fast MA crosses above slow MA (bullish signal) - Death Cross: Fast MA crosses below slow MA (bearish signal) - Multiple crossovers in same direction can confirm trend changes - Wait for clear separation between MAs after crossover How do I use MAs for support and resistance? --------------------------------------------- - In uptrends: MAs often provide support when price pulls back - In downtrends: MAs may act as resistance on rallies - Multiple MAs create support/resistance zones - Stronger levels where multiple MAs cluster together Can I use this with other indicators? ------------------------------------- Yes, it works well with: - Volume indicators for confirmation - RSI or MACD for timing entries - Bollinger Bands for volatility context - Price action patterns for setup confirmation What if I get too many signals? ------------------------------- - Increase smoothing levels - Raise noise filter percentages - Use longer MA periods - Focus on major crossovers only - Wait for multiple MA confirmation What if signals are too slow? ----------------------------- - Reduce smoothing to 0 - Lower noise filter values - Switch to faster MA types (HMA, ZLEMA, DEMA) - Use shorter periods - Focus on the fastest MA only Which MA types work best in different markets? ---------------------------------------------- Trending markets: EMA, DEMA, TEMA (responsive to trends) Choppy markets: SMA, TMA, HMA with smoothing (less whipsaws) High volatility: Use higher smoothing and noise filtering Low volatility: Use minimal filtering for better responsiveness Do I need all the advanced features? ------------------------------------ No. Start with basic settings: - Choose MA type and length - Set colors you prefer - Leave smoothing at 0 - Leave noise filter at 0 Add complexity only if needed to improve signal quality. How do I know if my settings are working? ----------------------------------------- - Backtest on historical data - Paper trade the signals first - Adjust based on market conditions - Keep a trading journal to track performance - Be willing to modify settings as markets change Can I save different configurations? ------------------------------------ Yes, save different indicator templates in TradingView for: - Different trading styles (scalping, swing trading) - Different market conditions (trending, ranging) - Different instruments (stocks, forex, crypto)

Chỉ báo Pine Script®

Multiplied and Divided Moving Average ### Multiplied and Divided Moving Average Indicator **Description**: The "Multiplied and Divided Moving Average" indicator is a customizable tool for TradingView users, designed to create dynamic bands around a user-selected moving average (MA). It calculates a moving average (SMA, EMA, WMA, VWMA, or RMA) and generates a user-defined number of lines above and below it by multiplying and dividing the MA by linearly spaced factors. These bands serve as potential support and resistance levels, aiding in trend identification, mean reversion strategies, or breakout detection. Optional Buy/Sell labels appear when the price crosses below the divided MAs (Buy) or above the multiplied MAs (Sell), providing clear visual cues for trading opportunities. **Key Features**: - **Flexible MA Types**: Choose from Simple (SMA), Exponential (EMA), Weighted (WMA), Volume-Weighted (VWMA), or Running (RMA) moving averages. - **Customizable Bands**: Set the number of lines (0–10) above and below the MA, allowing tailored analysis for any market or timeframe. - **Dynamic Factors**: Bands are created using factors that scale linearly from 1 to a user-defined maximum (default: 5.0), creating intuitive overbought/oversold zones. - **Buy/Sell Signals**: Optional labels highlight potential entry (Buy) and exit (Sell) points when the price crosses the bands. - **Clear Visuals**: The main MA is plotted in blue, with green (multiplied) and red (divided) lines using graduated transparency for easy differentiation. **Inputs**: - **MA Type**: Select the moving average type (default: SMA). - **MA Length**: Set the MA period (default: 14). - **Number of Lines Above/Below**: Choose how many bands to plot above and below the MA (default: 4, range: 0–10). - **Max Factor**: Define the largest multiplier/divisor for the outermost bands (default: 5.0). - **Source**: Select the price data for the MA (default: close). - **Show Buy/Sell Labels**: Enable or disable Buy/Sell labels (default: true). **How It Works**: 1. Calculates the chosen moving average based on user inputs. 2. Creates up to 10 lines above the MA (e.g., MA × 2, ×3, ×4, ×5 for `numLines=4`, `maxFactor=5`) and 10 below (e.g., MA ÷ 2, ÷3, ÷4, ÷5). 3. Plots the main MA in blue, multiplied lines in green, and divided lines in red, with transparency increasing for outer bands. 4. If enabled, displays "Buy" labels when the price crosses below any divided MA and "Sell" labels when it crosses above any multiplied MA, positioned at the outermost band. **Use Cases**: - **Trend Analysis**: Use the bands as dynamic support/resistance to confirm trend direction or reversals. - **Mean Reversion**: Identify overbought (near multiplied MAs) or oversold (near divided MAs) conditions. - **Breakout Trading**: Monitor price crossovers of the outermost bands for potential breakout signals. - **Signal Confirmation**: Use Buy/Sell labels for swing trading or to complement other indicators. **How to Use**: 1. Copy the script into TradingView’s Pine Editor. 2. Compile and apply it to your chart (e.g., stocks, forex, crypto). 3. Adjust inputs like `numLines`, `maxFactor`, or `maType` to fit your strategy. 4. Enable `Show Buy/Sell Labels` to visualize trading signals. 5. Test on various timeframes (e.g., 1H, 4H, 1D) and assets to optimize settings. **Example Settings**: - **Swing Trading**: Use `numLines=3`, `maxFactor=4`, `maType=EMA`, `maLength=20` on a 4-hour chart. - **Intraday**: Try `numLines=2`, `maxFactor=3`, `maType=SMA`, `maLength=10` on a 15-minute chart. **Notes**: - **Performance**: Supports up to 20 bands (10 above, 10 below), staying within TradingView’s 64-plot limit. - **False Signals**: In choppy markets, frequent crossovers may occur. Combine with trend filters (e.g., ADX, higher-timeframe MA) to reduce noise. - **Enhancements**: Add alerts via TradingView’s alert system for Buy/Sell signals, or experiment with different `maxFactor` values for volatility. **Limitations**: - Bands are reactive, as they’re based on a moving average, so confirm signals with other indicators. - High `numLines` values may clutter the chart; use 2–4 for clarity. - Signals may lag in fast-moving markets due to the MA’s smoothing effect. This indicator is perfect for traders seeking a customizable, visually clear tool to enhance technical analysis on TradingView. For support, feature requests (e.g., alerts, custom colors), or community discussion, visit TradingView’s forums or contact the script author.

Chỉ báo Pine Script®

APC Companion – Volume Accumulation/Distribution Indicator Description (TradingView – Open Source) APC Companion – Volume Accumulation/Distribution Filter (Designed to work standalone or together with the APC Compass) What this indicator does The APC Companion measures whether markets are under Accumulation (buying pressure) or Distribution (selling pressure) by combining: Chaikin A/D slope – volume flow into price moves On-Balance Volume momentum – confirms trend strength VWAP spread – price vs. fair value by traded volume CLV × Volume Z-Score – detects intrabar absorption / selling pressure VWMA vs. EMA100 – confirms whether weighted volume supports price action The result is a single Acc/Dist Score (−5 … +5) and a Coherence % showing how many signals agree. How to interpret Score ≥ +3 & Coherence ≥ 60% → Accumulation (green) → market supported by buyers Score ≤ −3 & Coherence ≥ 60% → Distribution (red) → market pressured by sellers Anything in between = neutral (no strong bias) Using with APC Compass Long trades: Only take Compass Long signals when Companion shows Accumulation. Short trades: Only take Compass Short signals when Companion shows Distribution. Neutral Companion: Skip or reduce size if there is no confirmation. This filter greatly reduces false signals and improves trade quality. Best practice Swing trading: 4H / 1D charts, lenZ 40–80, lenSlope 14–20 Intraday: 5m–30m charts, lenZ 20–30, lenSlope 10–14 Position sizing: Increase with higher Coherence %, reduce when below 60% Exits: Reduce or close if Score drops back to neutral or flips opposite Disclaimer This script is published open source for educational purposes only. It is not financial advice. Test thoroughly before using in live trading.

Chỉ báo Pine Script®

[blackcat] L2 Trend Linearity OVERVIEW The L2 Trend Linearity indicator is a sophisticated market analysis tool designed to help traders identify and visualize market trend linearity by analyzing price action relative to dynamic support and resistance zones. This powerful Pine Script indicator utilizes the Arnaud Legoux Moving Average (ALMA) algorithm to calculate weighted price calculations and generate dynamic support/resistance zones that adapt to changing market conditions. By visualizing market zones through colored candles and histograms, the indicator provides clear visual cues about market momentum and potential trading opportunities. The script generates buy/sell signals based on zone crossovers, making it an invaluable tool for both technical analysis and automated trading strategies. Whether you're a day trader, swing trader, or algorithmic trader, this indicator can help you identify market regimes, support/resistance levels, and potential entry/exit points with greater precision. FEATURES Dynamic Support/Resistance Zones: Calculates dynamic support (bear market zone) and resistance (bull market zone) using weighted price calculations and ALMA smoothing Visual Market Representation: Color-coded candles and histograms provide immediate visual feedback about market conditions Smart Signal Generation: Automatic buy/sell signals generated from zone crossovers with clear visual indicators Customizable Parameters: Four different ALMA smoothing parameters for various timeframes and trading styles Multi-Timeframe Compatibility: Works across different timeframes from 1-minute to weekly charts Real-time Analysis: Provides instant feedback on market momentum and trend direction Clear Visual Cues: Green candles indicate bullish momentum, red candles indicate bearish momentum, and white candles indicate neutral conditions Histogram Visualization: Blue histogram shows bear market zone (below support), aqua histogram shows bull market zone (above resistance) Signal Labels: "B" labels mark buy signals (price crosses above resistance), "S" labels mark sell signals (price crosses below support) Overlay Functionality: Works as an overlay indicator without cluttering the chart with unnecessary elements Highly Customizable: All parameters can be adjusted to suit different trading strategies and market conditions HOW TO USE Add the Indicator to Your Chart Open TradingView and navigate to your desired trading instrument Click on "Indicators" in the top menu and select "New" Search for "L2 Trend Linearity" or paste the Pine Script code Click "Add to Chart" to apply the indicator Configure the Parameters ALMA Length Short: Set the short-term smoothing parameter (default: 3). Lower values provide more responsive signals but may generate more false signals ALMA Length Medium: Set the medium-term smoothing parameter (default: 5). This provides a balance between responsiveness and stability ALMA Length Long: Set the long-term smoothing parameter (default: 13). Higher values provide more stable signals but with less responsiveness ALMA Length Very Long: Set the very long-term smoothing parameter (default: 21). This provides the most stable support/resistance levels Understand the Visual Elements Green Candles: Indicate bullish momentum when price is above the bear market zone (support) Red Candles: Indicate bearish momentum when price is below the bull market zone (resistance) White Candles: Indicate neutral market conditions when price is between support and resistance zones Blue Histogram: Shows bear market zone when price is below support level Aqua Histogram: Shows bull market zone when price is above resistance level "B" Labels: Mark buy signals when price crosses above resistance "S" Labels: Mark sell signals when price crosses below support Identify Market Regimes Bullish Regime: Price consistently above resistance zone with green candles and aqua histogram Bearish Regime: Price consistently below support zone with red candles and blue histogram Neutral Regime: Price oscillating between support and resistance zones with white candles Generate Trading Signals Buy Signals: Look for price crossing above the bull market zone (resistance) with confirmation from green candles Sell Signals: Look for price crossing below the bear market zone (support) with confirmation from red candles Confirmation: Always wait for confirmation from candle color changes before entering trades Optimize for Different Timeframes Scalping: Use shorter ALMA lengths (3-5) for 1-5 minute charts Day Trading: Use medium ALMA lengths (5-13) for 15-60 minute charts Swing Trading: Use longer ALMA lengths (13-21) for 1-4 hour charts Position Trading: Use very long ALMA lengths (21+) for daily and weekly charts LIMITATIONS Whipsaw Markets: The indicator may generate false signals in choppy, sideways markets where price oscillates rapidly between support and resistance Lagging Nature: Like all moving average-based indicators, there is inherent lag in the calculations, which may result in delayed signals Not a Standalone Tool: This indicator should be used in conjunction with other technical analysis tools and risk management strategies Market Structure Dependency: Performance may vary depending on market structure and volatility conditions Parameter Sensitivity: Different markets may require different parameter settings for optimal performance No Volume Integration: The indicator does not incorporate volume data, which could provide additional confirmation signals Limited Backtesting: Pine Script limitations may restrict comprehensive backtesting capabilities Not Suitable for All Instruments: May perform differently on stocks, forex, crypto, and futures markets Requires Confirmation: Signals should always be confirmed with other indicators or price action analysis Not Predictive: The indicator identifies current market conditions but does not predict future price movements NOTES ALMA Algorithm: The indicator uses the Arnaud Legoux Moving Average (ALMA) algorithm, which is known for its excellent smoothing capabilities and reduced lag compared to traditional moving averages Weighted Price Calculations: The bear market zone uses (2low + close) / 3, while the bull market zone uses (high + 2close) / 3, providing more weight to recent price action Dynamic Zones: The support and resistance zones are dynamic and adapt to changing market conditions, making them more responsive than static levels Color Psychology: The color scheme follows traditional trading psychology - green for bullish, red for bearish, and white for neutral Signal Timing: The signals are generated on the close of each bar, ensuring they are based on complete price action Label Positioning: Buy signals appear below the bar (red "B" label), while sell signals appear above the bar (green "S" label) Multiple Timeframes: The indicator can be applied to multiple timeframes simultaneously for comprehensive analysis Risk Management: Always use proper risk management techniques when trading based on indicator signals Market Context: Consider the overall market context and trend direction when interpreting signals Confirmation: Look for confirmation from other indicators or price action patterns before entering trades Practice: Test the indicator on historical data before using it in live trading Customization: Feel free to experiment with different parameter combinations to find what works best for your trading style THANKS Special thanks to the TradingView community and the Pine Script developers for creating such a powerful and flexible platform for technical analysis. This indicator builds upon the foundation of the ALMA algorithm and various moving average techniques developed by technical analysis pioneers. The concept of dynamic support and resistance zones has been refined over decades of market analysis, and this script represents a modern implementation of these timeless principles. We acknowledge the contributions of all traders and developers who have contributed to the evolution of technical analysis and continue to push the boundaries of what's possible with algorithmic trading tools.

Chỉ báo Pine Script®

bởi blackcat1402

Laguerre-Kalman Adaptive Filter | AlphaNatt Laguerre-Kalman Adaptive Filter |AlphaNatt A sophisticated trend-following indicator that combines Laguerre polynomial filtering with Kalman optimal estimation to create an ultra-smooth, low-lag trend line with exceptional noise reduction capabilities. "The perfect trend line adapts to market conditions while filtering out noise - this indicator achieves both through advanced mathematical techniques rarely seen in retail trading." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎯 KEY FEATURES Dual-Filter Architecture: Combines two powerful filtering methods for superior performance Adaptive Volatility Adjustment: Automatically adapts to market conditions Minimal Lag: Laguerre polynomials provide faster response than traditional moving averages Optimal Noise Reduction: Kalman filtering removes market noise while preserving trend Clean Visual Design: Color-coded trend visualization (cyan/pink) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 THE MATHEMATICS 1. Laguerre Filter Component The Laguerre filter uses a cascade of four all-pass filters with a single gamma parameter: 4th order IIR (Infinite Impulse Response) filter Single parameter (gamma) controls all filter characteristics Provides smoother output than EMA with similar lag Based on Laguerre polynomials from quantum mechanics 2. Kalman Filter Component Implements a simplified Kalman filter for optimal estimation: Prediction-correction algorithm from aerospace engineering Dynamically adjusts based on estimation error Provides mathematically optimal estimate of true price trend Reduces noise while maintaining responsiveness 3. Adaptive Mechanism Monitors market volatility in real-time Adjusts filter parameters based on current conditions More responsive in trending markets More stable in ranging markets ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚙️ INDICATOR SETTINGS Laguerre Gamma (0.1-0.99): Controls filter smoothness. Higher = smoother but more lag Adaptive Period (5-100): Lookback for volatility calculation Kalman Noise Reduction (0.1-2.0): Higher = more noise filtering Trend Threshold (0.0001-0.01): Minimum change to register trend shift Recommended Settings: Scalping: Gamma: 0.6, Period: 10, Noise: 0.3 Day Trading: Gamma: 0.8, Period: 20, Noise: 0.5 (default) Swing Trading: Gamma: 0.9, Period: 30, Noise: 0.8 Position Trading: Gamma: 0.95, Period: 50, Noise: 1.2 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📈 TRADING SIGNALS Primary Signals: Cyan Line: Bullish trend - price above filter and filter ascending Pink Line: Bearish trend - price below filter or filter descending Color Change: Potential trend reversal point Entry Strategies: Trend Continuation: Enter on pullback to filter line in trending market Trend Reversal: Enter on color change with volume confirmation Breakout: Enter when price crosses filter with momentum Exit Strategies: Exit long when line turns from cyan to pink Exit short when line turns from pink to cyan Use filter as trailing stop in strong trends ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✨ ADVANTAGES OVER TRADITIONAL INDICATORS Vs. Moving Averages: Significantly less lag while maintaining smoothness Adaptive to market conditions Better noise filtering Vs. Standard Filters: Dual-filter approach provides optimal estimation Mathematical foundation from signal processing Self-adjusting parameters Vs. Other Trend Indicators: Cleaner signals with fewer whipsaws Works across all timeframes No repainting or lookahead bias ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 MATHEMATICAL BACKGROUND The Laguerre filter was developed by John Ehlers, applying Laguerre polynomials (used in quantum mechanics) to financial markets. These polynomials provide an elegant solution to the lag-smoothness tradeoff that plagues traditional moving averages. The Kalman filter, developed by Rudolf Kalman in 1960, is used in everything from GPS systems to spacecraft navigation. It provides the mathematically optimal estimate of a system's state given noisy measurements. By combining these two approaches, this indicator achieves what neither can alone: a smooth, responsive trend line that adapts to market conditions while filtering out noise. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💡 TIPS FOR BEST RESULTS Confirm with Volume: Strong trends should have increasing volume Multiple Timeframes: Use higher timeframe for trend, lower for entry Combine with Momentum: RSI or MACD can confirm filter signals Market Conditions: Adjust noise parameter based on market volatility Backtesting: Always test settings on your specific instrument ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ⚠️ IMPORTANT NOTES No indicator is perfect - always use proper risk management Best suited for trending markets May produce false signals in choppy/ranging conditions Not financial advice - for educational purposes only ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🚀 CONCLUSION The Laguerre-Kalman Adaptive Filter represents a significant advancement in technical analysis, bringing institutional-grade mathematical techniques to retail traders. Its unique combination of polynomial filtering and optimal estimation provides a clean, reliable trend-following tool that adapts to changing market conditions. Whether you're scalping on the 1-minute chart or position trading on the daily, this indicator provides clear, actionable signals with minimal false positives. "In the world of technical analysis, the edge comes from using better mathematics. This indicator delivers that edge." ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Developed by AlphaNatt | Professional Quantitative Trading Tools Version: 1.0 Last Updated: 2025 Pine Script: v6 License: Open Source Not financial advice. Always DYOR

Chỉ báo Pine Script®

bởi AlphaNatt

Extreme Zone Volume Profile Extreme Zone Volume Profile (EZVP) Originality & Innovation The Extreme Zone Volume Profile (EZVP) revolutionizes traditional volume profile analysis by applying statistical zone classification to volume distribution. Unlike standard volume profiles that display raw volume data, EZVP segments the price range into statistically meaningful zones based on percentile thresholds, allowing traders to instantly identify where volume concentration suggests strong support/resistance versus areas of potential breakout. Technical Methodology Core Algorithm: Distributes volume across user-defined bins (20-200) over a lookback period Calculates volume-weighted price levels for each bin Applies percentile-based zone classification to the price range (not volume ranking) Zone B (extreme zones): Outer percentile tails representing potential rejection areas Zone A (significant zones): Secondary percentile bands indicating strong interest levels Center Zone: Bulk trading range where most price discovery occurs Mathematical Foundation: The script uses price-range percentiles rather than volume percentiles. If the total price range is divided into 100%, Zone B captures the extreme price tails (default 2.5% each end ≈ 2 standard deviations), Zone A captures the next significant bands (default 14% each ≈ 1 standard deviation), leaving the center for normal distribution trading. Key Calculations: POC (Point of Control): Price level with maximum volume accumulation Volume-weighted mean price: Total volume × price / total volume Median price: Geometric center of the price range Rightward-projected bars: Volume bars extend forward from current time to avoid historical chart clutter Trading Applications Zone Interpretation: Zone B (Red/Green): Extreme price levels where volume suggests strong rejection potential. Price reaching these zones often indicates overextension and possible reversal points. Zone A (Orange/Teal): Significant support/resistance areas with substantial volume interest. These levels often act as intermediate targets or consolidation zones. Center (Gray): Fair value area where most trading occurs. Price tends to return to this range during normal market conditions. Strategic Usage: Reversal Trading: Look for rejection signals when price enters Zone B areas Breakout Confirmation: Volume expansion beyond Zone B boundaries suggests genuine breakouts Support/Resistance: Zone A boundaries often provide reliable entry/exit levels Mean Reversion: Price tends to gravitate toward the volume-weighted mean and POC lines Unique Value Proposition EZVP addresses three key limitations of traditional volume profiles: Visual Clarity: Standard profiles can be cluttered and difficult to interpret quickly. EZVP's color-coded zones provide instant visual feedback about price significance. Statistical Framework: Rather than relying on subjective interpretation of volume nodes, EZVP applies objective percentile-based classification, making support/resistance identification more systematic. Forward-Looking Display: Rightward-projecting bars keep historical price action clean while maintaining current market structure visibility. Configuration Guide Lookback Period (10-1000): Controls the historical depth of volume calculation. Shorter periods for intraday scalping, longer for swing trading. Number of Bins (20-200): Resolution of volume distribution. Higher values provide more granular analysis but may create noise on lower timeframes. Zone Percentages: Zone B: Extreme threshold (default 2.5% = ~2σ statistical significance) Zone A: Significant threshold (default 14% = ~1σ statistical significance) Visual Controls: Toggle individual elements (POC, median, mean, zone lines) to customize display complexity for your trading style. Technical Requirements Pine Script v6 compatible Maximum bars back: 5000 (ensures sufficient historical data) Maximum boxes: 500 (supports high-resolution bin counts) Maximum lines: 50 (accommodates all zone and reference lines) This indicator synthesizes volume profile theory with statistical zone analysis, providing a quantitative framework for identifying high-probability support/resistance levels based on volume distribution patterns rather than arbitrary price levels.

Chỉ báo Pine Script®

bởi NateRichmond

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Chọn dữ liệu thị trường được cung cấp bởi ICE Data Services.Chọn dữ liệu tham chiếu được cung cấp bởi FactSet. Bản quyền © 2025 FactSet Research Systems Inc.Bản quyền © 2025, American Bankers Association. Cơ sở dữ liệu CUSIP được cung cấp bởi FactSet Research Systems Inc. Bảo lưu mọi quyền.Các hồ sơ nộp SEC và tài liệu khác được cung cấp bởi Quartr.© 2025 TradingView, Inc.

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