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Smarter Money Concepts - Wyckoff Springs & Upthrusts [PhenLabs]📊Smarter Money Concepts - Wyckoff Springs & Upthrusts Version: PineScript™v6 📌Description Discover institutional manipulation in real-time with this advanced Wyckoff indicator that detects Springs (accumulation phases) and Upthrusts (distribution phases). It identifies when price tests support or resistance on high volume, followed by a strong recovery, signaling potential reversals where smart money accumulates or distributes positions. This tool solves the common problem of missing these subtle phase transitions, helping traders anticipate trend changes and avoid traps in volatile markets. By combining volume spike detection, ATR-normalized recovery strength, and a sigmoid probability model, it filters out weak signals and highlights only high-confidence setups. Whether you’re swing trading or day trading, this indicator provides clear visual cues to align with institutional flows, improving entry timing and risk management. 🚀Points of Innovation Sigmoid-based probability threshold for signal filtering, ensuring only statistically significant Wyckoff patterns trigger alerts ATR-normalized recovery measurement that adapts to market volatility, unlike static recovery checks in traditional indicators Customizable volume spike multiplier to distinguish institutional volume from retail noise Integrated dashboard legend with position and size options for personalized chart visualization Hidden probability plots for advanced users to analyze underlying math without chart clutter 🔧Core Components Support/Resistance Calculator: Scans a user-defined lookback period to establish dynamic levels for Spring and Upthrust detection Volume Spike Detector: Compares current volume to a 10-period SMA, multiplied by a configurable factor to identify significant surges Recovery Strength Analyzer: Uses ATR to measure price recovery after breaks, normalizing for different market conditions Probability Model: Applies sigmoid function to combine volume and recovery data, generating a confidence score for each potential signal 🔥Key Features Spring Detection: Spots accumulation when price dips below support but recovers strongly, helping traders enter longs at potential bottoms Upthrust Detection: Identifies distribution when price spikes above resistance but falls back, alerting to possible short opportunities at tops Customizable Inputs: Adjust lookback, volume multiplier, ATR period, and probability threshold to match your trading style and market Visual Signals: Clear + (green) and - (red) labels on charts for instant recognition of accumulation and distribution phases Alert System: Triggers notifications for signals and probability thresholds, keeping you informed without constant monitoring 🎨Visualization Spring Signal: Green upward label (+) below the bar, indicating strong recovery after support break for accumulation Upthrust Signal: Red downward label (-) above the bar, showing failed breakout above resistance for distribution Dashboard Legend: Customizable table explaining signals, positioned anywhere on the chart for quick reference 📖Usage Guidelines Core Settings Support/Resistance Lookback Default: 20 Range: 5-50 Description: Sets bars back for S/R levels; lower for recent sensitivity, higher for stable long-term zones – ideal for spotting Wyckoff phases Volume Spike Multiplier Default: 1.5 Range: 1.0-3.0 Description: Multiplies 10-period volume SMA; higher values filter to significant spikes, confirming institutional involvement in patterns ATR for Recovery Measurement Default: 5 Range: 2-20 Description: ATR period for recovery strength; shorter for volatile markets, longer for smoother analysis of post-break recoveries Phase Transition Probability Threshold Default: 0.9 Range: 0.5-0.99 Description: Minimum sigmoid probability for signals; higher for strict filtering, ensuring only high-confidence Wyckoff setups Display Settings Dashboard Position Default: Top Right Range: Various positions Description: Places legend table on chart; choose based on layout to avoid overlapping price action Dashboard Text Size Default: Normal Range: Auto to Huge Description: Adjusts legend text; larger for visibility, smaller for minimal space use ✅Best Use Cases Swing Trading: Identify Springs for long entries in downtrends turning to accumulation Day Trading: Catch Upthrusts for short scalps during intraday distribution at resistance Trend Reversal Confirmation: Use in conjunction with other indicators to validate phase shifts in ranging markets Volatility Plays: Spot signals in high-volume environments like news events for quick reversals ⚠️Limitations May produce false signals in low-volume or sideways markets where volume spikes are unreliable Depends on historical data, so performance varies in unprecedented market conditions or gaps Probability model is statistical, not predictive, and cannot account for external factors like news 💡What Makes This Unique Probability-Driven Filtering: Sigmoid model combines multiple factors for superior signal quality over basic Wyckoff detectors Adaptive Recovery: ATR normalization ensures reliability across assets and timeframes, unlike fixed-threshold tools User-Centric Design: Tooltips, customizable dashboard, and alerts make it accessible yet powerful for all trader levels 🔬How It Works Calculate S/R Levels: Uses the highest high and the lowest low over the lookback period to set dynamic zones Establishes baseline for detecting breaks in Wyckoff patterns Detect Breaks and Recovery: Checks for price breaking support/resistance, then recovering on volume Measures recovery strength via ATR for volatility adjustment Apply Probability Model: Combines volume spike and recovery into a sigmoid function for confidence score Triggers signal only if above threshold, plotting visuals and alerts 💡Note: For optimal results, combine with price action analysis and test settings on historical charts. Remember, Wyckoff patterns are most effective in trending markets – use lower probability thresholds for practice, then increase for live trading to focus on high-quality setups.
Indicatore Pine Script®
di PhenLabs
2
Dynamic Support and Resistance V2 | AnonycryptousThe Dynamic Support and Resistance V2 indicator, an easy tool to identify key support, resistance, trendline levels, pivot points and volume data. Pivot Points. Calculates support, resistance and trendline levels using pivot points, which are derived from the high, low, and close prices of previous trading periods. Customize the pivot calculation by using Close' or 'High/Low' and adjusting the lookback periods for both the left and right sides of the pivot calculation. Pivot points are crucial for forecasting potential market turning points, so it allows traders to adapt the indicator to different market conditions and timeframes. By using pivot points, traders can spot reversal and consolidation levels or trendlines early on, allowing them to react to them in time. Volume Levels. This option focuses on identifying support and resistance levels based on volume data, specifically the Point of Control. The POC is the highest traded volume price level during a time period. This POC calculation, allow traders to areas of significant trading levels as support or resistance zones. Volume-based levels gives insights into market sentiment and showes strong support and resistance based on trading volume. Traders can choose between pivot-based and volume-based levels or use both simultaneously, depending on their analysis. The indicator offers custom colors, so the trader can customize their visual analysis to their own style. It calculates the importance of each level based on the number of touches and the duration it holds. This indicator is intended for educational and informational purposes only and should not be considered financial advice. Trading involves significant risk, and you should consult with a financial advisor before making any trading decisions. The performance of this indicator is not guaranteed, and past results do not predict future performance. Use at your own risk.
Indicatore Pine Script®
di Anonycryptous
2
Nifty50 Swing Trading Super Indicator# 🚀 Nifty50 Swing Trading Super Indicator - Complete Guide **Created by:** Gaurav **Date:** August 8, 2025 **Version:** 1.0 - Optimized for Indian Markets --- ## 📋 Table of Contents 1. (#quick-start-guide) 2. (#indicator-overview) 3. (#installation-instructions) 4. (#parameter-settings) 5. (#signal-interpretation) 6. (#trading-strategy) 7. (#risk-management) 8. (#optimization-tips) 9. (#troubleshooting) --- ## 🎯 Quick Start Guide ### What You Get ✅ **2 Complete Pine Script Indicators:** - `swing_trading_super_indicator.pine` - Universal version for all markets - `nifty_optimized_super_indicator.pine` - Specifically optimized for Nifty50 & Indian stocks ✅ **Key Features:** - Multi-component signal confirmation system - Optimized for daily and 3-hour timeframes - Built-in risk management with dynamic stops and targets - Real-time signal strength monitoring - Gap analysis for Indian market characteristics ### Immediate Setup 1. Copy the Pine Script code from `nifty_optimized_super_indicator.pine` 2. Paste into TradingView Pine Editor 3. Add to chart on daily or 3-hour timeframe 4. Look for 🚀BUY and 🔻SELL signals 5. Use the information table for signal confirmation --- ## 🔍 Indicator Overview ### Core Components Integration **🎯 Range Filter (35% Weight)** - Primary trend identification using adaptive volatility filtering - Optimized sampling period: 21 bars for Indian market volatility - Enhanced range multiplier: 3.0 to handle market gaps - Provides trend direction and strength measurement **⚡ PMAX (30% Weight)** - Volatility-adjusted trend confirmation using ATR-based calculations - Dynamic multiplier adjustment based on market volatility - 14-period ATR with 2.5 multiplier for swing trading sensitivity - Offers trailing stop functionality **🏗️ Support/Resistance (20% Weight)** - Dynamic level identification using pivot point analysis - Tighter channel width (3%) for precise Indian market levels - Enhanced strength calculation with historical interaction weighting - Provides entry/exit timing and breakout signals **📊 EMA Alignment (15% Weight)** - Multi-timeframe moving average confirmation - Key EMAs: 9, 21, 50, 200 (popular in Indian markets) - Hierarchical alignment scoring for trend strength - Additional trend validation layer ### Advanced Features **🌅 Gap Analysis** - Automatic detection of significant price gaps (>2%) - Gap strength measurement and impact on signals - Specific optimization for Indian market overnight gaps - Visual gap markers on chart **⏰ Multi-Timeframe Integration** - Higher timeframe bias from daily/weekly data - Configurable daily bias weight (default 70%) - 3-hour confirmation for precise entry timing - Prevents counter-trend trades against major timeframe **🛡️ Risk Management** - Dynamic stop-loss calculation using multiple methods - Automatic profit target identification - Position sizing guidance based on signal strength - Anti-whipsaw logic to prevent false signals --- ## 📥 Installation Instructions ### Step 1: Access TradingView 1. Open TradingView.com 2. Navigate to Pine Editor (bottom panel) 3. Create a new indicator ### Step 2: Copy the Code **For Nifty50 & Indian Stocks (Recommended):** ```pinescript // Copy entire content from nifty_optimized_super_indicator.pine ``` **For Universal Use:** ```pinescript // Copy entire content from swing_trading_super_indicator.pine ``` ### Step 3: Configure and Apply 1. Click "Add to Chart" 2. Select daily or 3-hour timeframe 3. Adjust parameters if needed (defaults are optimized) 4. Enable alerts for signal notifications ### Step 4: Verify Installation - Check that all components are visible - Confirm information table appears in top-right - Test with known trending stocks for signal validation --- ## ⚙️ Parameter Settings ### 🎯 Range Filter Settings ``` Sampling Period: 21 (optimized for Indian market volatility) Range Multiplier: 3.0 (handles overnight gaps effectively) Source: Close (most reliable for swing trading) ``` ### ⚡ PMAX Settings ``` ATR Length: 14 (standard for daily/3H timeframes) ATR Multiplier: 2.5 (balanced for swing trading sensitivity) Moving Average Type: EMA (responsive to price changes) MA Length: 14 (matches ATR period for consistency) ``` ### 🏗️ Support/Resistance Settings ``` Pivot Period: 8 (shorter for Indian market dynamics) Channel Width: 3% (tighter for precise levels) Minimum Strength: 3 (higher quality levels only) Maximum Levels: 4 (focus on strongest levels) Lookback Period: 150 (sufficient historical data) ``` ### 🚀 Super Indicator Settings ``` Signal Sensitivity: 0.65 (balanced for swing trading) Trend Strength Requirement: 0.75 (high quality signals) Gap Threshold: 2.0% (significant gap detection) Daily Bias Weight: 0.7 (strong higher timeframe influence) ``` ### 🎨 Display Options ``` Show Range Filter: ✅ (trend visualization) Show PMAX: ✅ (trailing stops) Show S/R Levels: ✅ (key price levels) Show Key EMAs: ✅ (trend confirmation) Show Signals: ✅ (buy/sell alerts) Show Trend Background: ✅ (visual trend state) Show Gap Markers: ✅ (gap identification) ``` --- ## 📊 Signal Interpretation ### 🚀 BUY Signals **Requirements for BUY Signal:** - Price above Range Filter with upward trend - PMAX showing bullish direction (MA > PMAX line) - Support/resistance breakout or favorable positioning - EMA alignment supporting upward movement - Higher timeframe bias confirmation - Overall signal strength > 75% **Signal Strength Indicators:** - **90-100%:** Extremely strong - Maximum position size - **80-89%:** Very strong - Large position size - **75-79%:** Strong - Standard position size - **65-74%:** Moderate - Reduced position size - **<65%:** Weak - Wait for better opportunity ### 🔻 SELL Signals **Requirements for SELL Signal:** - Price below Range Filter with downward trend - PMAX showing bearish direction (MA < PMAX line) - Resistance breakdown or unfavorable positioning - EMA alignment supporting downward movement - Higher timeframe bias confirmation - Overall signal strength > 75% ### ⚖️ NEUTRAL Signals **Characteristics:** - Conflicting signals between components - Low overall signal strength (<65%) - Range-bound market conditions - Wait for clearer directional bias ### 📈 Information Table Guide **Component Status:** - **BULL/BEAR:** Current signal direction - **Strength %:** Component contribution strength - **Status:** Additional context (STRONG/WEAK/ACTIVE/etc.) **Overall Signal:** - **🚀 STRONG BUY:** All systems aligned bullish - **🔻 STRONG SELL:** All systems aligned bearish - **⚖️ NEUTRAL:** Mixed or weak signals --- ## 💼 Trading Strategy ### Daily Timeframe Strategy **Setup:** 1. Apply indicator to daily chart of Nifty50 or Indian stocks 2. Wait for 🚀BUY or 🔻SELL signal with >75% strength 3. Confirm higher timeframe bias alignment 4. Check for significant support/resistance levels **Entry:** - Enter on signal bar close or next bar open - Use 3-hour chart for precise entry timing - Avoid entries during major news events - Consider gap analysis for overnight positions **Position Sizing:** - **>90% Strength:** 3-4% of portfolio - **80-89% Strength:** 2-3% of portfolio - **75-79% Strength:** 1-2% of portfolio - **<75% Strength:** Avoid or minimal size ### 3-Hour Timeframe Strategy **Setup:** 1. Confirm daily timeframe bias first 2. Apply indicator to 3-hour chart 3. Look for signals aligned with daily trend 4. Use for entry/exit timing optimization **Entry Refinement:** - Wait for 3H signal confirmation - Enter on pullbacks to key levels - Use tighter stops for better risk/reward - Monitor intraday support/resistance ### Risk Management Rules **Stop Loss Placement:** 1. **Primary:** Use indicator's dynamic stop level 2. **Secondary:** Below/above nearest support/resistance 3. **Maximum:** 2-3% of portfolio per trade 4. **Trailing:** Move stops with PMAX line **Profit Taking:** 1. **Target 1:** First resistance/support level (50% position) 2. **Target 2:** Second resistance/support level (30% position) 3. **Runner:** Trail remaining 20% with PMAX **Position Management:** - Review positions at daily close - Adjust stops based on new signals - Exit if trend changes to opposite direction - Reduce size during high volatility periods --- ## 🎯 Optimization Tips ### For Nifty50 Trading - Use daily timeframe for primary signals - Monitor sector rotation impact - Consider index futures for better liquidity - Watch for RBI policy and global cues impact ### For Individual Stocks - Verify stock follows Nifty correlation - Check sector-specific news and events - Ensure adequate liquidity for position size - Monitor earnings calendar for volatility ### Market Condition Adaptations **Trending Markets:** - Increase position sizes for strong signals - Use wider stops to avoid whipsaws - Focus on trend continuation signals - Reduce counter-trend trading **Range-Bound Markets:** - Reduce position sizes - Use tighter stops and quicker profits - Focus on support/resistance bounces - Increase signal strength requirements **High Volatility Periods:** - Reduce overall exposure - Use smaller position sizes - Increase stop-loss distances - Wait for clearer signals ### Performance Monitoring - Track win rate and average profit/loss - Monitor signal quality over time - Adjust parameters based on market changes - Keep trading journal for pattern recognition --- ## 🔧 Troubleshooting ### Common Issues **Q: Signals appear too frequently** A: Increase "Trend Strength Requirement" to 0.8-0.9 **Q: Missing obvious trends** A: Decrease "Signal Sensitivity" to 0.5-0.6 **Q: Too many false signals** A: Enable "3H Confirmation" and increase strength requirements **Q: Indicator not loading** A: Check Pine Script version compatibility (requires v5) ### Parameter Adjustments **For More Sensitive Signals:** - Decrease Signal Sensitivity to 0.5-0.6 - Decrease Trend Strength Requirement to 0.6-0.7 - Increase Range Filter multiplier to 3.5-4.0 **For More Conservative Signals:** - Increase Signal Sensitivity to 0.7-0.8 - Increase Trend Strength Requirement to 0.8-0.9 - Enable all confirmation features ### Performance Issues - Reduce lookback periods if chart loads slowly - Disable some visual elements for better performance - Use on liquid stocks/indices for best results --- ## 📞 Support & Updates This super indicator combines the best of Range Filter, PMAX, and Support/Resistance analysis specifically optimized for Indian market swing trading. The multi-component approach significantly improves signal quality while the built-in risk management features help protect capital. **Remember:** No indicator is 100% accurate. Always combine with proper risk management, market analysis, and your trading experience for best results. **Happy Trading! 🚀**
Indicatore Pine Script®
di WinningTurtle
Candle Channel█ OVERVIEW The "Candle Channel" indicator is a versatile technical analysis tool that plots a price channel based on the Simple Moving Average (SMA) of candlestick midpoints. The channel bands, calculated based on candlestick volatility, form dynamic support and resistance levels that adapt to price movements. The script generates signals for reversals from the bands and SMA breakouts, making it useful for both short-term and long-term traders. By adjusting the SMA length, the channel can vary in nature—from a wide channel encapsulating price movement to narrower support/resistance or trend-following bands. The channel width can be further customized using a scaling parameter, allowing adaptation to different trading styles and markets. █ MECHANISM Band Calculation The indicator is based on the following calculations: Candlestick Midpoint: Calculated as the arithmetic average of the candle’s high and low prices: (high + low) / 2. Simple Moving Average (SMA): The average of candlestick midpoints over a specified length (default: 20 candles), forming the channel’s centerline. Average Candle Height: Calculated as the average difference between the high and low prices (high - low) over the same SMA length, serving as a measure of market volatility. Band Scaling: The user specifies a percentage of the average candle height (default: 200%), which is multiplied by the average height to create an offset. The upper band is SMA + offset, and the lower band is SMA - offset.Example: For an average candle height of 10 points and 200% scaling, the offset is 20 points, meaning the bands are ±20 points from the SMA. Channel Characteristics: The SMA length determines the channel’s dynamics. Shorter SMA values (10–30) create a wide channel that contains price movement, ideal for scalping or short-term trading. Longer SMA values (above 30, e.g., 50–100) transform the channel into narrower support/resistance or trend-following bands, suitable for longer-term analysis. Band scaling further adjusts the channel width to match market volatility. Signals Reversal from Bands: Signals are generated when the price closes outside the band (above the upper or below the lower) and then returns to the channel, indicating a potential trend reversal. SMA Breakout: Signals are generated when the price crosses the SMA upward (bullish signal) or downward (bearish signal), suggesting potential trend changes. Visualization Centerline: The SMA of candlestick midpoints, displayed as a thin line. Channel Bands: Upper and lower channel boundaries, with customizable colors. Fill: Options include a gradient (smooth color transition between bands) or solid color. The fill can also be disabled for greater clarity. █ FEATURES AND SETTINGS SMA Length: Determines the moving average period (default: 20). Values of 10–30 are suitable for a wide channel containing price movement, ideal for short-term timeframes. Longer values (e.g., 50–100) create narrower support/resistance or trend-following bands, better suited for higher timeframes. Band Scaling: Percentage of the average candle height (default: 200%). Adjusts the channel width to match market volatility—smaller values (e.g., 50–100%) for narrower bands, larger values (e.g., 200–300%) for wider channels. Fill Type: Gradient, solid, or no fill, allowing customization to user preferences. Colors: Options to change the colors of bands, fill, and signals for better readability. Signals: Options to enable/disable reversal signals from bands and SMA breakout signals. █ HOW TO USE Add the script to your chart in TradingView by clicking "Add to Chart" in the Pine Editor. Adjust input parameters in the script settings: SMA Length: Set to 10–30 for a wide channel containing price movement, suitable for scalping or short-term trading. Set above 30 (e.g., 50–100) for narrower support/resistance or trend-following bands. Band Scaling: Adjust the channel width to market volatility. Smaller values (50–100%) for tighter support/resistance bands, larger values (200–300%) for wider channels containing price movement. Fill Type and Colors: Choose a gradient for aesthetics or a solid fill for clarity. Analyze signals: Reversal Signals: Triangles above (bearish) or below (bullish) candles indicate potential reversal points. SMA Breakout Signals: Circles above (bearish) or below (bullish) candles indicate trend changes. Test the indicator on different instruments and timeframes to find optimal settings for your trading style. █ LIMITATIONS The indicator may generate false signals in highly volatile or consolidating markets. On low-liquidity charts (e.g., exotic currency pairs), the bands may be less reliable. Effectiveness depends on properly matching parameters to the market and timeframe.
Indicatore Pine Script®
di Uncle_the_shooter
Fractal Support and Resistance [BigBeluga]🔵 OVERVIEW The Fractal Support and Resistance indicator automatically identifies high-probability support and resistance zones based on repeated fractal touches. When a defined number of fractal highs or lows cluster around the same price zone, the indicator plots a clean horizontal level and shaded zone, helping traders visualize structurally important areas where price may react. 🔵 CONCEPTS Fractal Points: Swing highs and lows based on user-defined left and right range (length). A valid fractal forms only when the center candle is higher or lower than its neighbors. Zone Validation: A level is only confirmed when the price has printed the specified number of fractals (e.g., 3) within a narrow ATR-defined range. Dynamic Zone Calculation: The plotted level can be based on the average of clustered fractals or on the extreme value (min or max), depending on the user’s choice. Support/Resistance Zones: Once a zone is validated, a horizontal line and shaded box are drawn and automatically extended into the future until new valid clusters form. Auto-Clean & Reactivity: Each zone persists until replaced by a new fractal cluster, ensuring the chart remains uncluttered and adaptive. 🔵 FEATURES Detects swing fractals using adjustable left/right range. Confirms zones when a defined number of fractals occur near the same price. Plots horizontal level and shaded box for visual clarity. Choice between average or min/max logic for level calculation. Distinct color inputs for support (green) and resistance (orange) zones. Adaptive auto-extension keeps valid zones projected into the future. Displays optional triangle markers above/below bars where fractals form. Clean design optimized for structural S/R analysis. 🔵 HOW TO USE Use support zones (from low fractals) to look for potential long entries or bounce points . Use resistance zones (from high fractals) to look for short setups or rejections . Adjust the Fractals Qty to make zones more or less strict—e.g., 3 for higher reliability, 2 for quicker responsiveness. Combine with liquidity indicators or break/retest logic to validate zone strength. Toggle between average and min/max mode to fit your style (average for balance, extremes for aggression). 🔵 CONCLUSION Fractal Support and Resistance offers a robust way to identify hidden levels that the market respects repeatedly. By requiring multiple fractal confirmations within a zone, it filters out noise and highlights clean structural areas of interest. This tool is ideal for traders who want automatic, adaptive, and reliable S/R levels grounded in raw market structure.
Indicatore Pine Script®
di BigBeluga
5
Smart MTF S/R Levels[BullByte] Smart MTF S/R Levels Introduction & Motivation Support and Resistance (S/R) levels are the backbone of technical analysis. However, most traders face two major challenges: Manual S/R Marking: Drawing S/R levels by hand is time-consuming, subjective, and often inconsistent. Multi-Timeframe Blind Spots: Key S/R levels from higher or lower timeframes are often missed, leading to surprise reversals or missed opportunities. Smart MTF S/R Levels was created to solve these problems. It is a fully automated, multi-timeframe, multi-method S/R detection and visualization tool, designed to give traders a complete, objective, and actionable view of the market’s most important price zones. What Makes This Indicator Unique? Multi-Timeframe Analysis: Simultaneously analyzes up to three user-selected timeframes, ensuring you never miss a critical S/R level from any timeframe. Multi-Method Confluence: Integrates several respected S/R detection methods—Swings, Pivots, Fibonacci, Order Blocks, and Volume Profile—into a single, unified system. Zone Clustering: Automatically merges nearby levels into “zones” to reduce clutter and highlight areas of true market consensus. Confluence Scoring: Each zone is scored by the number of methods and timeframes in agreement, helping you instantly spot the most significant S/R areas. Reaction Counting: Tracks how many times price has recently interacted with each zone, providing a real-world measure of its importance. Customizable Dashboard: A real-time, on-chart table summarizes all key S/R zones, their origins, confluence, and proximity to price. Smart Alerts: Get notified when price approaches high-confluence zones, so you never miss a critical trading opportunity. Why Should a Trader Use This? Objectivity: Removes subjectivity from S/R analysis by using algorithmic detection and clustering. Efficiency: Saves hours of manual charting and reduces analysis fatigue. Comprehensiveness: Ensures you are always aware of the most relevant S/R zones, regardless of your trading timeframe. Actionability: The dashboard and alerts make it easy to act on the most important levels, improving trade timing and risk management. Adaptability: Works for all asset classes (stocks, forex, crypto, futures) and all trading styles (scalping, swing, position). The Gap This Indicator Fills Most S/R indicators focus on a single method or timeframe, leading to incomplete analysis. Manual S/R marking is error-prone and inconsistent. This indicator fills the gap by: Automating S/R detection across multiple timeframes and methods Objectively scoring and ranking zones by confluence and reaction Presenting all this information in a clear, actionable dashboard How Does It Work? (Technical Logic) 1. Level Detection For each selected timeframe, the script detects S/R levels using: SW (Swing High/Low): Recent price pivots where reversals occurred. Pivot: Classic floor trader pivots (P, S1, R1). Fib (Fibonacci): Key retracement levels (0.236, 0.382, 0.5, 0.618, 0.786) over the last 50 bars. Bull OB / Bear OB: Institutional price zones based on bullish/bearish engulfing patterns. VWAP / POC: Volume Weighted Average Price and Point of Control over the last 50 bars. 2. Level Clustering Levels within a user-defined % distance are merged into a single “zone.” Each zone records which methods and timeframes contributed to it. 3. Confluence & Reaction Scoring Confluence: The number of unique methods/timeframes in agreement for a zone. Reactions: The number of times price has touched or reversed at the zone in the recent past (user-defined lookback). 4. Filtering & Sorting Only zones within a user-defined % of the current price are shown (to focus on actionable areas). Zones can be sorted by confluence, reaction count, or proximity to price. 5. Visualization Zones: Shaded boxes on the chart (green for support, red for resistance, blue for mixed). Lines: Mark the exact level of each zone. Labels: Show level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Lists all nearby zones with full details. 6. Alerts Optional alerts trigger when price approaches a zone with confluence above a user-set threshold. Inputs & Customization (Explained for All Users) Show Timeframe 1/2/3: Enable/disable analysis for each timeframe (e.g., 15m, 30m, 1h). Show Swings/Pivots/Fibonacci/Order Blocks/Volume Profile: Select which S/R methods to include. Show levels within X% of price: Only display zones near the current price (default: 3%). How many swing highs/lows to show: Number of recent swings to include (default: 3). Cluster levels within X%: Merge levels close together into a single zone (default: 0.25%). Show Top N Zones: Limit the number of zones displayed (default: 8). Bars to check for reactions: How far back to count price reactions (default: 100). Sort Zones By: Choose how to rank zones in the dashboard (Confluence, Reactions, Distance). Alert if Confluence >=: Set the minimum confluence score for alerts (default: 3). Zone Box Width/Line Length/Label Offset: Control the appearance of zones and labels. Dashboard Size/Location: Customize the dashboard table. How to Read the Output Shaded Boxes: Represent S/R zones. The color indicates type (green = support, red = resistance, blue = mixed). Lines: Mark the precise level of each zone. Labels: Show the level, methods by timeframe (e.g., 15m (3 SW), 30m (1 VWAP)), and (if applicable) Fibonacci ratios. Dashboard Table: Columns include: Level: Price of the zone Methods (by TF): Which S/R methods and how many, per timeframe (see abbreviation key below) Type: Support, Resistance, or Mixed Confl.: Confluence score (higher = more significant) React.: Number of recent price reactions Dist %: Distance from current price (in %) Abbreviations Used SW = Swing High/Low (recent price pivots where reversals occurred) Fib = Fibonacci Level (key retracement levels such as 0.236, 0.382, 0.5, 0.618, 0.786) VWAP = Volume Weighted Average Price (price level weighted by volume) POC = Point of Control (price level with the highest traded volume) Bull OB = Bullish Order Block (institutional support zone from bullish price action) Bear OB = Bearish Order Block (institutional resistance zone from bearish price action) Pivot = Pivot Point (classic floor trader pivots: P, S1, R1) These abbreviations appear in the dashboard and chart labels for clarity. Example: How to Read the Dashboard and Labels (from the chart above) Suppose you are trading BTCUSDT on a 15-minute chart. The dashboard at the top right shows several S/R zones, each with a breakdown of which timeframes and methods contributed to their detection: Resistance zone at 119257.11: The dashboard shows: 5m (1 SW), 15m (2 SW), 1h (3 SW) This means the level 119257.11 was identified as a resistance zone by one swing high (SW) on the 5-minute timeframe, two swing highs on the 15-minute timeframe, and three swing highs on the 1-hour timeframe. The confluence score is 6 (total number of method/timeframe hits), and there has been 1 recent price reaction at this level. This suggests 119257.11 is a strong resistance zone, confirmed by multiple swing highs across all selected timeframes. Mixed zone at 118767.97: The dashboard shows: 5m (2 SW), 15m (2 SW) This means the level 118767.97 was identified by two swing points on both the 5-minute and 15-minute timeframes. The confluence score is 4, and there have been 19 recent price reactions at this level, indicating it is a highly reactive zone. Support zone at 117411.35: The dashboard shows: 5m (2 SW), 1h (2 SW) This means the level 117411.35 was identified as a support zone by two swing lows on the 5-minute timeframe and two swing lows on the 1-hour timeframe. The confluence score is 4, and there have been 2 recent price reactions at this level. Mixed zone at 118291.45: The dashboard shows: 15m (1 SW, 1 VWAP), 5m (1 VWAP), 1h (1 VWAP) This means the level 118291.45 was identified by a swing and VWAP on the 15-minute timeframe, and by VWAP on both the 5-minute and 1-hour timeframes. The confluence score is 4, and there have been 12 recent price reactions at this level. Support zone at 117103.10: The dashboard shows: 15m (1 SW), 1h (1 SW) This means the level 117103.10 was identified by a single swing low on both the 15-minute and 1-hour timeframes. The confluence score is 2, and there have been no recent price reactions at this level. Resistance zone at 117899.33: The dashboard shows: 5m (1 SW) This means the level 117899.33 was identified by a single swing high on the 5-minute timeframe. The confluence score is 1, and there have been no recent price reactions at this level. How to use this: Zones with higher confluence (more methods and timeframes in agreement) and more recent reactions are generally more significant. For example, the resistance at 119257.11 is much stronger than the resistance at 117899.33, and the mixed zone at 118767.97 has shown the most recent price reactions, making it a key area to watch for potential reversals or breakouts. Tip: “SW” stands for Swing High/Low, and “VWAP” stands for Volume Weighted Average Price. The format 15m (2 SW) means two swing points were detected on the 15-minute timeframe. Best Practices & Recommendations Use with Other Tools: This indicator is most powerful when combined with your own price action analysis and risk management. Adjust Settings: Experiment with timeframes, clustering, and methods to suit your trading style and the asset’s volatility. Watch for High Confluence: Zones with higher confluence and more reactions are generally more significant. Limitations No Future Prediction: The indicator does not predict future price movement; it highlights areas where price is statistically more likely to react. Not a Standalone System: Should be used as part of a broader trading plan. Historical Data: Reaction counts are based on historical price action and may not always repeat. Disclaimer This indicator is a technical analysis tool and does not constitute financial advice or a recommendation to buy or sell any asset. Trading involves risk, and past performance is not indicative of future results. Always use proper risk management and consult a financial advisor if needed.
Indicatore Pine Script®
di BullByte
12
DA Cloud - DynamicDA Cloud - Dynamic | Detailed Overview 🌟 What Makes This Indicator Special The DA Cloud - Dynamic is an advanced technical analysis tool that creates adaptive support and resistance zones that expand and contract based on market volatility. Unlike traditional static indicators, this cloud system "breathes" with the market, providing dynamic levels that adjust to changing market conditions. 📊 Core Components 1. Multi-Layered Cloud Structure Resistance Cloud (Red): Three dynamic resistance levels (RL1, RL2, RL3) with intermediate channels (RC1, RC2) Support Cloud (Green): Three dynamic support levels (SL1, SL2, SL3) with intermediate channels (SC1, SC2) Trend Cloud (Blue): Five trend lines (TU2, TU1, TM, TL1, TL2) that flow through the center Confirmation Line (Purple): A fast-reacting line that confirms trend changes 2. Forward Displacement Technology The entire cloud system is projected 21 bars into the future (Fibonacci number), allowing traders to see potential support and resistance levels before price reaches them. This predictive element is inspired by Ichimoku Cloud theory but enhanced with modern volatility dynamics. 🔬 How It Works (Without Revealing the Secret Sauce) Volatility-Responsive Design The indicator continuously measures market volatility across multiple timeframes During high volatility periods (like major breakouts), clouds expand dramatically During consolidation, clouds contract and tighten around price This creates a "breathing" effect that adapts to market conditions Multi-Timeframe Analysis Incorporates Fibonacci sequence periods (3, 13, 21, 34, 55) for calculations Blends short-term responsiveness with long-term stability Creates smooth, flowing lines that filter out market noise Dynamic Level Calculation Levels are not fixed percentages or static bands Each level adapts based on current market structure and volatility Channel lines (RC1, RC2, SC1, SC2) provide intermediate support/resistance 🎯 Key Features 1. Touch Point Detection Colored dots appear when price touches key levels Red dots = resistance touch Green dots = support touch Blue dots = trend median touch 2. Entry/Exit Signals "Cloud Entry" labels when confirmation line crosses above SL1 "Cloud Exit" labels when confirmation line crosses below RL1 Background color changes based on bullish/bearish bias 3. Information Table Real-time display of key levels (RL1, TM, SL1) Current bias indicator (BULLISH/BEARISH) Updates dynamically as market moves ⚙️ Customization Options Main Controls: Sensitivity (5-50): How responsive clouds are to price movements Smoothing (1-50): Controls the flow and smoothness of cloud lines Forward Displacement (0-50): How many bars to project the cloud forward Advanced Volatility Settings: Volatility Lookback (50-1000): Period for establishing volatility baseline Volatility Smoothing (1-50): Reduces spikes in volatility expansion Expansion Power (0.1-2.0): Controls how dramatically clouds expand Range Divisor (1.0-20.0): Master control for overall cloud width Level Spacing: Individual multipliers for each resistance and support level Allows fine-tuning of cloud structure to match different markets Trend Spacing: Separate controls for inner and outer trend bands Customize the trend cloud density 📈 Trading Applications 1. Trend Identification Price above TM (Trend Median) = Bullish bias Price below TM = Bearish bias Cloud color and width indicate trend strength 2. Support/Resistance Trading Use RL1/SL1 as primary targets and reversal zones RC1/RC2 and SC1/SC2 provide intermediate levels RL3/SL3 mark extreme levels often seen at major tops/bottoms 3. Volatility Analysis Expanding clouds signal increasing volatility and potential big moves Contracting clouds indicate consolidation and potential breakout setup Cloud width helps with position sizing and risk management 4. Multi-Timeframe Confirmation Works on all timeframes from 1-minute to monthly Higher timeframes show major market structure Lower timeframes provide precise entry/exit points 🎓 Best Practices Combine with Volume: High volume at cloud levels increases reliability Watch for Touch Clusters: Multiple touches at a level indicate strength Monitor Cloud Expansion: Sudden expansion often precedes major moves Use Multiple Timeframes: Confirm signals across different time periods Respect the Trend Median: This is often the most important level ⚡ Performance Notes Optimized for up to 2000 bars of historical data Smooth performance with 500+ lines and labels Works on all markets: Crypto, Forex, Stocks, Commodities 📝 Version Info Current Version: 1.0 Dynamic volatility expansion system Full customization suite Touch point detection Entry/exit signals Forward displacement projection
Indicatore Pine Script®
di albinomonkey
Support and Resistance Levels with BreaksThis indicator identifies dynamic support and resistance levels using pivot point analysis and provides clear trading signals when these levels are broken with volume confirmation. Enhanced version with improved signal clarity for better trading decisions. ## 🔧 Key Features ### Support & Resistance Detection - Automatically identifies key pivot high and low levels - Draws clear visual lines (red for resistance, blue for support) - Configurable sensitivity with left/right bar settings ### Enhanced Trading Signals - **BUY** signals when resistance is broken with volume confirmation - **SELL** signals when support is broken with volume confirmation - **Bull Wick** alerts for potential reversals at resistance - **Bear Wick** alerts for potential reversals at support ### Volume Confirmation - Built-in volume oscillator using 5 and 10-period EMAs - Filters out low-volume false breakouts - Adjustable volume threshold (default: 20%) ### Complete Alert System - Support Broken alerts - Resistance Broken alerts - Bull Wick reversal alerts - Bear Wick reversal alerts ## ⚙️ Settings - **Show Breaks**: Toggle signal display - **Left Bars**: Pivot detection lookback (default: 15) - **Right Bars**: Pivot detection lookforward (default: 15) - **Volume Threshold**: Minimum volume increase for valid signals (default: 20%) ## 📈 Best For - Swing trading strategies - Breakout confirmation - Support/resistance trading - Volume-based entry signals ## 🔍 How It Works 1. Identifies pivot highs/lows using configurable periods 2. Calculates volume oscillator for confirmation 3. Generates BUY signals on resistance breaks with volume 4. Generates SELL signals on support breaks with volume 5. Detects wick patterns for potential reversals ## 📋 Updates in This Version - Enhanced BUY/SELL signal clarity (replaced generic "B" labels) - Added Bull Wick and Bear Wick alert conditions - Updated to Pine Script v6 compatibility - Improved signal filtering and accuracy ## ⚠️ Disclaimer This indicator is for educational and informational purposes only. Always conduct your own analysis and risk management before making trading decisions. Past performance does not guarantee future results. --- **Original Script**: "Support and Resistance Levels with Breaks" by LuxAlgo **License**: CC BY-NC-SA 4.0 **Enhanced by**: profitgang **Version**: Pine Script v6
Indicatore Pine Script®
di profitgang
1
Range Breakout [sgbpulse]Range Breakout 1. Overview The "Range Breakout " indicator is a powerful tool designed to identify and visually display price ranges on your chart using pivot points. It dynamically draws two distinct boxes – an External Range and an Internal Range – helping traders pinpoint potential support and resistance zones. Beyond its visual representation, the indicator offers a comprehensive set of 12 unique breakout alerts, providing real-time notifications for significant price movements outside these defined ranges. Additionally, it integrates RSI and MFI metrics for momentum confirmation. 2. How It Works The indicator operates by identifying pivot points based on user-defined "left" and "right" bar lengths. A high pivot is a bar with a specified number of lower highs both to its left and right, and similarly for a low pivot. External Range: Calculated using longer pivot lengths (default: 15 bars left, 6 bars right). This range represents broader, more significant price consolidation areas. Internal Range: Calculated using shorter pivot lengths (default: 4 bars left, 3 bars right). This range captures tighter, more immediate price consolidations within the broader trend. The External Range will always be greater than or equal to the Internal Range, as it's based on a wider historical context. Both ranges are displayed as transparent boxes on your chart, dynamically adjusting as new pivots are formed. 3. Key Features and Settings Customizable Pivot Lengths: External Range (Left/Right Bars): Adjust sensitivity for identifying the broader price range. Longer lengths lead to more stable, but less frequent, range updates. Internal Range (Left/Right Bars): Adjust sensitivity for the tighter, more immediate price range. Tool Tips: Minimum 6 bars for the External Range, and minimum 2 bars for the Internal Range. Customizable Range Colors: Easily change the background colors of the External and Internal Range boxes to match your chart's aesthetic. Dynamic Range Display: The indicator automatically updates the range boxes as new pivot highs and lows are formed, always presenting the most current valid ranges. RSI / MFI Settings: Timeframe Source: Select the timeframe for RSI and MFI calculation. - Chart: Calculation based on the current chart timeframe. - Daily: Always calculated based on the daily ("D") timeframe, even if the chart is on a lower timeframe. RSI Length: Period length for RSI calculation (default: 14). RSI Overbought Level: Overbought level for RSI (default: 70.0). RSI Oversold Level: Oversold level for RSI (default: 30.0). MFI Length: Period length for MFI calculation (default: 14). MFI Overbought Level: Overbought level for MFI (default: 80.0). MFI Oversold Level: Oversold level for MFI (default: 20.0). 4. Synergy of Ranges & Breakout Strength The interaction between the External and Internal Ranges provides deep insights into price movement and breakout strength: Immediate Direction: The movement of the Internal Range (up or down) indicates the short-term directional bias within the broader framework of the External Range. Strength Confirmation: A breakout of the External Range, followed by a breakout of the Internal Range, confirms the strength of the move and increases confidence in the breakout. Strong Momentum ("Leaving" Ranges Behind): When price breaks out with exceptionally strong momentum, it continues to move aggressively and does not immediately form new pivots. In such situations, the existing ranges (External and Internal) remain in place while the candles "leave them behind." A "Full Candle" breakout, where the entire candle moves past both ranges, indicates a particularly powerful and decisive move. Momentum (RSI / MFI) as Confirmation: - RSI (Relative Strength Index): Measures the speed and change of price movements. Extreme values (above 70 or below 30) indicate overbought/oversold conditions respectively, confirming strong momentum in a breakout. - MFI (Money Flow Index): Similar to RSI but incorporates volume. Extreme values (above 80 or below 20) indicate strong money flow in/out, reinforcing breakout confirmation. - Importance of Confirmation: If a breakout occurs but momentum indicators do not confirm it (for example, an upside breakout while RSI is declining), this could signal weakness in the move and the risk of a false breakout (Fakeout). 5. Visuals The indicator provides clear visual representations on the chart: Range Boxes: Two dynamic boxes are drawn on the chart: one for the External Range and one for the Internal Range. These boxes update continuously, displaying the current range boundaries based on the latest pivots. They provide an immediate visual indication of support and resistance levels. RSI/MFI Status Labels: Small text labels appear to the right of the current bar, vertically centered. They display the status of RSI and MFI: RSI OB (Overbought), RSI OS (Oversold), MFI OB, MFI OS, along with the exact value. Important: The labels remain on the chart as long as the condition holds (indicator is above/below the level), unlike alerts which mark a singular crossover event. Plotting of Key Values: The indicator plots six invisible series on the chart, primarily to allow the user to view the exact numerical values of: - The upper and lower bounds of the External Range (External High, External Low). - The upper and lower bounds of the Internal Range (Internal High, Internal Low). - The calculated RSI and MFI values (RSI, MFI). These values are accessible for viewing through TradingView's Data Window and also via the Status Line when hovering over the relevant candle. This enables more precise quantitative analysis of range levels and momentum. 6. Comprehensive Breakout Alerts The "Range Breakout " indicator provides 12 distinct alert conditions for breakouts, allowing you to select the required level of confirmation for each alert. All alerts are triggered only upon a fully confirmed bar close (barstate.isconfirmed) to minimize false signals and ensure reliability. All breakout alerts are configured to detect a Crossover/Crossunder of the levels, meaning a specific event where the price moves from one side of the range to the other. External Range Breakout UP - Close: Price closes above the External Range. - Real Body: The entire "real body" of the candle (min of open/close prices) closes above the External Range. - Full Candle: The entire candle (the lowest point of the candle) closes above the External Range. External Range Breakout DOWN - Close: Price closes below the External Range. - Real Body: The entire "real body" of the candle (max of open/close prices) closes below the External Range. - Full Candle: The entire candle (the highest point of the candle) closes below the External Range. Internal Range Breakout UP - Close: Price closes above the Internal Range. - Real Body: The "real body" of the candle closes above the Internal Range. - Full Candle: The entire candle closes above the Internal Range. Internal Range Breakout DOWN - Close: Price closes below the Internal Range. - Real Body: The "real body" of the candle closes below the Internal Range. - Full Candle: The entire candle closes below the Internal Range. 7. Ideal Use Cases This indicator is ideal for traders who: Want to clearly identify and monitor price consolidation zones. Seek confirmation for breakout strategies across various timeframes. Require reliable and automated alerts for potential entry or exit points based on range expansion. 8. Complementary Indicator For even more comprehensive market analysis, we highly recommend using this indicator in conjunction with Market Structure Support & Resistance External/Internal & BoS . This powerful complementary indicator automatically and accurately identifies significant support and resistance levels by locating high and low pivot points, as well as key Pre-Market High/Low levels. Its strength lies in its dynamic adaptability to any timeframe and asset, providing precise and relevant real-time levels while maintaining a clean chart. It also identifies Break of Structure (BoS) to signal potential trend changes or continuations. Using both indicators together provides a robust framework for identifying defined ranges and potential trend shifts, enabling more informed trading decisions. View Market Structure Support & Resistance External/Internal & BoS Indicator 9. Important Note: Trading Risk This indicator is intended for educational and informational purposes only and does not constitute investment advice or a recommendation for trading in any form whatsoever. Trading in financial markets involves significant risk of capital loss. It is important to remember that past performance is not indicative of future results. All trading decisions are your sole responsibility. Never trade with money you cannot afford to lose.
Indicatore Pine Script®
di sgbpulse
Floor and Roof Indicator with SignalsFloor and Roof Indicator with Trading Signals A comprehensive support and resistance indicator that identifies premium and discount zones with automated signal generation. Key Features: Dynamic Support/Resistance Zones: Calculates floor (support) and roof (resistance) levels using price action and volatility Premium/Discount Zone Identification: Highlights areas where price may find resistance or support Customizable Signal Frequency: Control how often signals are displayed (every Nth occurrence) Visual Signal Table: Optional table showing the last 5 long and short signal prices Multiple Timeframe Compatibility: Works across all timeframes Technical Details: Uses ATR-based calculations for dynamic zone width adjustment Combines Bollinger Bands with highest/lowest price analysis Smoothing options for cleaner signal generation Fully customizable colors and display options How to Use: Floor Zones (Blue): Potential support areas where long positions may be considered Roof Zones (Pink): Potential resistance areas where short positions may be considered Signal Crosses: Visual markers when price interacts with key levels Signal Table: Track recent signal prices for analysis Settings: Length: Period for calculations (default: 200) Smooth: Smoothing factor for cleaner signals Zone Width: Adjust the thickness of support/resistance zones Signal Frequency: Control signal display frequency Visual Options: Customize colors and table position Alerts Available: Long signal alerts when price touches discount zones Short signal alerts when price reaches premium zones Educational Purpose: This indicator is designed to help traders identify potential support and resistance areas. Always combine with proper risk management and additional analysis. This description focuses on the technical aspects and educational value while avoiding any language that could be interpreted as financial advice or guaranteed profits.
Indicatore Pine Script®
di profitgang
1
Volume bar range# Volume Bar Range (VBR) Indicator ## Overview The Volume Bar Range indicator identifies key support and resistance levels based on high-volume price bars. It creates a visual range that represents significant price levels where the market has shown strong interest through volume confirmation. ## Features ### Visual Range Display - **Blue/Aqua Area**: Shows the price range of the highest volume bar within the lookback period - **Dynamic Color**: The fill color changes to indicate whether the range is stable (aqua) or newly updated (white) - **Boundary Lines**: Invisible white lines mark the upper and lower boundaries of the range ### Trading Signals - **BUY Signal**: Blue upward arrow appears when price breaks above the resistance level with volume confirmation - **SELL Signal**: Black downward arrow appears when price breaks below the support level with volume confirmation ## How to Use ### Setup 1. Apply the indicator to any chart 2. The indicator automatically identifies the highest volume bar in the last 55 periods 3. The price range of this high-volume bar becomes your support/resistance zone ### Trading Strategy - **Range Trading**: Trade within the identified support/resistance range - **Breakout Trading**: Enter positions when price breaks above resistance (BUY) or below support (SELL) - **Volume Confirmation**: Only take signals when current volume exceeds the 21-period average ### Signal Interpretation - **BUY Signal**: Price closes above the resistance level with above-average volume - **SELL Signal**: Price closes below the support level with above-average volume - **No Signal**: Price remains within the range or volume is insufficient ## Key Parameters - **Lookback Period**: 55 bars (automatically identifies the highest volume bar) - **Volume MA**: 21-period simple moving average for volume confirmation - **Signal Size**: Tiny markers to avoid chart clutter ## Best Practices - Use on multiple timeframes for confirmation - Combine with other technical indicators for stronger signals - Pay attention to the color changes in the range area - Consider market context and overall trend direction ## Ideal Markets - Works well on liquid markets with consistent volume patterns - Effective on stocks, forex, and crypto markets - Best suited for swing trading and medium-term analysis This indicator is particularly useful for traders who rely on volume analysis and want to identify key price levels where the market has shown significant interest.
Indicatore Pine Script®
di pandorid
2
IDKFAIDKFA - Advanced Order Blocks & Volume Profile with Market Structure Analysis Why IDKFA? Named after the legendary DOOM cheat code that gives players "all weapons and full ammo," IDKFA provides traders with a comprehensive arsenal of market analysis tools. Just as the cheat code arms players with everything needed for combat, this indicator equips traders with essential market structure tools: Order Blocks, Volume Profile, LVN/HVN areas, Fibonacci retracements, and intelligent buy/sell signals - all in one unified system. Core Features Order Blocks Detection Automatically identifies institutional order blocks using pivot high/low analysis Extends blocks dynamically until price interaction occurs Bullish blocks (demand zones) and bearish blocks (supply zones) Customizable opacity and extend functionality Advanced Volume Profile Real-time volume profile calculation for multiple session types Point of Control (POC), Value Area High (VAH), and Value Area Low (VAL) Mode 1: Side-by-side bull/bear volume display Mode 2: Overlapped volume display with percentage analysis Shows buying vs selling pressure at each price level LVN/HVN Area Detection Low Volume Nodes (LVN): Areas below VAL where price moves quickly High Volume Nodes (HVN): Areas above VAH with strong resistance NPOC (Naked Point of Control): Single print areas within Value Area Volume-based gradient coloring shows relative activity levels Smart Fibonacci Retracements Auto-detects trend direction for proper fibonacci orientation Dynamic color coding: Red levels in uptrends, Gold in downtrends Special 88.6% level turns lime green in downtrends Key levels: 23.6%, 38.2%, 50%, 61.8%, 65%, 78.6%, 88.6% Intelligent Signal System Works best on higher timeframes Identifies high-probability reversal setups at key levels Buy signals: Large bearish rejection followed by bullish reclaim Sell signals: Large bullish rejection followed by bearish breakdown Signals only trigger near significant support/resistance areas Signal Analysis & Usage Guidelines Buy Signal Mechanics The buy signal triggers when: Previous candle shows significant bearish movement (minimum ATR multiplier) Current candle reclaims a configurable percentage of the previous candle's range Price is near a key support level (order blocks, fibonacci, volume levels) Sell Signal Mechanics The sell signal triggers when: Previous candle shows significant bullish movement (minimum ATR multiplier) Current candle rejects below a configurable percentage of the previous candle's range Price is near a key resistance level (order blocks, fibonacci, volume levels) When to TAKE Signals High Probability Buy Signals: Signal appears AT or BELOW the VAL (Value Area Low) Signal occurs at bullish order block confluence Price is in LVN area below VAL (momentum acceleration zone) Signal aligns with fibonacci 61.8% or 78.6% support Multiple session POC levels provide support confluence Previous session's VAL acting as current support High Probability Sell Signals: Signal appears AT or ABOVE the VAH (Value Area High) Signal occurs at bearish order block confluence Price is in HVN area above VAH (heavy resistance zone) Signal aligns with fibonacci 61.8% or 78.6% resistance Multiple session POC levels provide resistance confluence Previous session's VAH acting as current resistance When to AVOID Signals Avoid Buy Signals When: Signal appears ABOVE the VAH (buying into resistance) Price is in HVN red zones (high volume resistance areas) No clear support structure below current price Volume profile shows heavy selling pressure (high bear percentages) Signal occurs during low-volume periods between major sessions Multiple bearish order blocks exist below current price Avoid Sell Signals When: Signal appears BELOW the VAL (selling into support) Price is in LVN green zones (momentum could continue) No clear resistance structure above current price Volume profile shows heavy buying pressure (high bull percentages) Signal occurs during Asian session ranges without clear direction Multiple bullish order blocks exist above current price Volume Profile Context for Signals Understanding Bull/Bear Percentages: 70%+ Bull dominance at a level = Strong support expected 70%+ Bear dominance at a level = Strong resistance expected 50/50 Split = Neutral zone, less predictable Use percentages to gauge conviction behind moves POC (Point of Control) Interactions: Signals above POC in uptrend = Higher probability Signals below POC in downtrend = Higher probability Signals against POC bias require extra confirmation POC often acts as magnetic level for price return Trading Strategies Strategy 1: VAL/VAH Bounce Strategy Wait for price to approach VAL (support) or VAH (resistance) Look for signal confirmation at these critical levels Enter with tight stops beyond the Value Area Target opposite boundary or next session's levels Strategy 2: Order Block + Volume Confluence Identify order block alignment with VAL/VAH Wait for signal within the confluence zone Enter on signal with stop beyond order block Use LVN areas as acceleration zones for targets Strategy 3: LVN/HVN Strategy LVN (Green) Areas: "Go Zones" - expect quick price movement through low volume HVN (Red) Areas: "Stop Zones" - expect resistance and potential reversals NPOC Areas: "Fill Zones" - price often returns to fill single print gaps Strategy 4: Multi-Session Analysis Use Daily/Weekly for major structure context Use 4H for intermediate levels Use 1H for precise entry timing Ensure all timeframes align before taking signals Strategy 5: Fibonacci + Volume Profile Buy signals at 61.8% or 78.6% fibonacci near VAL Sell signals at 61.8% or 78.6% fibonacci near VAH Use 88.6% level as final support/resistance before major moves 50% level often aligns with POC for confluence Signal Quality Assessment Grade A Signals (Highest Probability): Signal at VAL/VAH with order block confluence Fibonacci level alignment (61.8%, 78.6%) Volume profile shows 70%+ dominance in signal direction Multiple timeframe structure alignment Signal occurs during high-volume sessions (London/NY) Grade B Signals (Moderate Probability): Signal near POC with some confluence Fibonacci 50% or 38.2% alignment Mixed volume profile readings (50-70% dominance) Some timeframe alignment present Signal during overlap sessions Grade C Signals (Lower Probability): Signal with minimal confluence Weak fibonacci alignment or none Volume profile neutral or against signal Conflicting timeframe signals Signal during low-volume periods Risk Management Guidelines Position Sizing Based on Signal Quality: Grade A: Standard position size Grade B: Reduced position size (50-75%) Grade C: Minimal position size (25%) or skip entirely Stop Loss Placement: Beyond order block boundaries Outside Value Area (VAL/VAH) Below/above fibonacci confluence levels Account for session volatility ranges Profit Targets: First target: Opposite VAL/VAH boundary Second target: Next session's key levels Final target: Major order blocks or fibonacci extensions Credits & Attribution Original components derived from: Market Sessions & Volume Profile by © Leviathan (Mozilla Public License 2.0) Volume Profile elements inspired by @LonesomeTheBlue's volume profile script Pivot Order Blocks by TradingWolf / © MensaTrader (Mozilla Public License 2.0) Auto Fibonacci Retracement code (public domain) Significant enhancements and modifications include: Advanced LVN/HVN detection and visualization Bull/Bear percentage analysis for Mode 2/3 Comprehensive alert system with market context Integrated buy/sell signals at key levels Performance optimizations and extended session support Enhanced Mode 2/3 with percentage pressure analysis Important Disclaimers This indicator is a technical analysis tool designed for educational purposes. It does not provide financial advice, investment recommendations, or trading signals that guarantee profits. All trading involves substantial risk of loss, and past performance does not guarantee future results. Users should conduct their own research, understand the risks involved, and consider consulting with qualified financial advisors before making trading decisions. The signals and analysis provided are based on historical price patterns and volume data, which may not predict future market movements accurately. Best Practices Never trade signals blindly - always consider volume profile context Wait for confluence between multiple tools before entering Respect the Value Area - avoid buying above VAH or selling below VAL Use session context - Asian ranges vs London/NY breakouts Practice proper risk management - position size based on signal quality Understand the bigger picture - use multiple timeframes for context Remember: Like the IDKFA cheat code, having all the tools doesn't guarantee success. The key is learning to use them together effectively and understanding when NOT to take a signal is often more important than knowing when to take one.
Indicatore Pine Script®
di MessyJess
5
Future is hereOverview "Future is Here" is an original, multi-faceted Pine Script indicator designed to provide traders with a comprehensive toolset for identifying high-probability trading opportunities. By integrating volatility-based entry zones, trend-based price targets, momentum confirmation, dynamic support/resistance levels, and risk-reward ratio (RRR) calculations, this indicator offers a cohesive and actionable trading framework. Each feature is carefully designed to complement the others, ensuring a synergistic approach that enhances decision-making across various market conditions. This script is unique in its ability to combine these elements into a single, streamlined interface with clear visual cues and customizable alerts, making it suitable for both novice and experienced traders. Key Features and How They Work Together Volatility-Based Entry Zones Purpose: Identifies overbought and oversold conditions using a volatility-adjusted moving average, helping traders spot potential reversal zones. Mechanism: Utilizes a user-defined volatility length and multiplier to calculate dynamic overbought/oversold thresholds based on the standard deviation of price. Crossovers and crossunders of these levels trigger "Buy Zone" or "Sell Zone" labels. Synergy: These zones act as the foundation for entry signals, which are later confirmed by momentum and trend filters to reduce false signals. Trend-Based Price Targets Purpose: Projects potential price targets based on the prevailing trend, giving traders clear objectives for profit-taking. Mechanism: Combines a fast and slow moving average to determine trend direction, then calculates target prices using a multiplier of the price deviation from the slow MA. Labels display bullish or bearish targets when the fast MA crosses the slow MA. Synergy: Works in tandem with entry zones and momentum signals to align targets with market conditions, ensuring traders aim for realistic price levels supported by trend strength. Momentum Confirmation Purpose: Validates entry signals by assessing momentum strength, filtering out weak setups. Mechanism: Uses the momentum indicator to detect bullish or bearish momentum crossovers, labeling them as "Strong" or "Weak" based on a comparison with a smoothed momentum average. Synergy: Enhances the reliability of buy/sell signals by ensuring momentum aligns with volatility zones and trend direction, reducing the risk of premature entries. Dynamic Support/Resistance Levels Purpose: Highlights key price levels where the market is likely to react, aiding in trade planning and risk management. Mechanism: Detects pivot highs and lows over a user-defined lookback period, drawing horizontal lines for the most recent support and resistance levels (limited to two each for clarity). Labels mark these levels with price values. Synergy: Complements entry zones and price targets by providing context for potential reversal or continuation points, helping traders set logical stop-losses or take-profits. Buy/Sell Signals with Risk-Reward Ratios Purpose: Generates precise buy/sell signals with integrated take-profit (TP), stop-loss (SL), and RRR calculations for disciplined trading. Mechanism: Combines volatility zone crossovers, trend confirmation, and positive momentum to trigger signals. ATR-based TP and SL levels are calculated, and the RRR is displayed in labels for quick assessment. Synergy: This feature ties together all previous components, ensuring signals are only generated when volatility, trend, and momentum align, while providing clear risk-reward metrics for trade evaluation. Customizable Alerts Purpose: Enables traders to stay informed of trading opportunities without constant chart monitoring. Mechanism: Alert conditions are set for buy and sell signals, delivering notifications with the entry price for seamless integration into trading workflows. Synergy: Enhances usability by allowing traders to act on high-probability setups identified by the indicator’s combined logic. Originality "Future is Here" is an original creation that distinguishes itself through its holistic approach to technical analysis. Unlike single-purpose indicators, it integrates volatility, trend, momentum, and support/resistance into a unified system, reducing the need for multiple scripts. The inclusion of RRR calculations directly in signal labels is a unique feature that empowers traders to evaluate trade quality instantly. The script’s design emphasizes clarity and efficiency, with cooldowns to prevent label clutter and a limit on support/resistance lines to maintain chart readability. This combination of features, along with its customizable parameters, makes it a versatile and novel tool for traders seeking a robust, all-in-one solution. How to Use Setup: Add the indicator to your TradingView chart and adjust input parameters (e.g., Volatility Length, Trend Length, TP/SL Multipliers) to suit your trading style and timeframe. Interpretation: Look for "Buy Zone" or "Sell Zone" labels to identify potential entry points. Confirm entries with "Bull Mom" or "Bear Mom" labels and trend direction (Bull/Bear Target labels). Use Support/Resistance lines to set logical TP/SL levels or anticipate reversals. Evaluate Buy/Sell signals with TP, SL, and RRR for high-probability trades. Alerts: Set up alerts for Buy/Sell signals to receive real-time notifications. Customization: Fine-tune multipliers and lengths to adapt the indicator to different markets (e.g., stocks, forex, crypto) or timeframes.
Indicatore Pine Script®
di Trading_Indicator_Pro
15
Tensor Market Analysis Engine (TMAE)# Tensor Market Analysis Engine (TMAE) ## Advanced Multi-Dimensional Mathematical Analysis System *Where Quantum Mathematics Meets Market Structure* --- ## 🎓 THEORETICAL FOUNDATION The Tensor Market Analysis Engine represents a revolutionary synthesis of three cutting-edge mathematical frameworks that have never before been combined for comprehensive market analysis. This indicator transcends traditional technical analysis by implementing advanced mathematical concepts from quantum mechanics, information theory, and fractal geometry. ### 🌊 Multi-Dimensional Volatility with Jump Detection **Hawkes Process Implementation:** The TMAE employs a sophisticated Hawkes process approximation for detecting self-exciting market jumps. Unlike traditional volatility measures that treat price movements as independent events, the Hawkes process recognizes that market shocks cluster and exhibit memory effects. **Mathematical Foundation:** ``` Intensity λ(t) = μ + Σ α(t - Tᵢ) ``` Where market jumps at times Tᵢ increase the probability of future jumps through the decay function α, controlled by the Hawkes Decay parameter (0.5-0.99). **Mahalanobis Distance Calculation:** The engine calculates volatility jumps using multi-dimensional Mahalanobis distance across up to 5 volatility dimensions: - **Dimension 1:** Price volatility (standard deviation of returns) - **Dimension 2:** Volume volatility (normalized volume fluctuations) - **Dimension 3:** Range volatility (high-low spread variations) - **Dimension 4:** Correlation volatility (price-volume relationship changes) - **Dimension 5:** Microstructure volatility (intrabar positioning analysis) This creates a volatility state vector that captures market behavior impossible to detect with traditional single-dimensional approaches. ### 📐 Hurst Exponent Regime Detection **Fractal Market Hypothesis Integration:** The TMAE implements advanced Rescaled Range (R/S) analysis to calculate the Hurst exponent in real-time, providing dynamic regime classification: - **H > 0.6:** Trending (persistent) markets - momentum strategies optimal - **H < 0.4:** Mean-reverting (anti-persistent) markets - contrarian strategies optimal - **H ≈ 0.5:** Random walk markets - breakout strategies preferred **Adaptive R/S Analysis:** Unlike static implementations, the TMAE uses adaptive windowing that adjusts to market conditions: ``` H = log(R/S) / log(n) ``` Where R is the range of cumulative deviations and S is the standard deviation over period n. **Dynamic Regime Classification:** The system employs hysteresis to prevent regime flipping, requiring sustained Hurst values before regime changes are confirmed. This prevents false signals during transitional periods. ### 🔄 Transfer Entropy Analysis **Information Flow Quantification:** Transfer entropy measures the directional flow of information between price and volume, revealing lead-lag relationships that indicate future price movements: ``` TE(X→Y) = Σ p(yₜ₊₁, yₜ, xₜ) log ``` **Causality Detection:** - **Volume → Price:** Indicates accumulation/distribution phases - **Price → Volume:** Suggests retail participation or momentum chasing - **Balanced Flow:** Market equilibrium or transition periods The system analyzes multiple lag periods (2-20 bars) to capture both immediate and structural information flows. --- ## 🔧 COMPREHENSIVE INPUT SYSTEM ### Core Parameters Group **Primary Analysis Window (10-100, Default: 50)** The fundamental lookback period affecting all calculations. Optimization by timeframe: - **1-5 minute charts:** 20-30 (rapid adaptation to micro-movements) - **15 minute-1 hour:** 30-50 (balanced responsiveness and stability) - **4 hour-daily:** 50-100 (smooth signals, reduced noise) - **Asset-specific:** Cryptocurrency 20-35, Stocks 35-50, Forex 40-60 **Signal Sensitivity (0.1-2.0, Default: 0.7)** Master control affecting all threshold calculations: - **Conservative (0.3-0.6):** High-quality signals only, fewer false positives - **Balanced (0.7-1.0):** Optimal risk-reward ratio for most trading styles - **Aggressive (1.1-2.0):** Maximum signal frequency, requires careful filtering **Signal Generation Mode:** - **Aggressive:** Any component signals (highest frequency) - **Confluence:** 2+ components agree (balanced approach) - **Conservative:** All 3 components align (highest quality) ### Volatility Jump Detection Group **Volatility Dimensions (2-5, Default: 3)** Determines the mathematical space complexity: - **2D:** Price + Volume volatility (suitable for clean markets) - **3D:** + Range volatility (optimal for most conditions) - **4D:** + Correlation volatility (advanced multi-asset analysis) - **5D:** + Microstructure volatility (maximum sensitivity) **Jump Detection Threshold (1.5-4.0σ, Default: 3.0σ)** Standard deviations required for volatility jump classification: - **Cryptocurrency:** 2.0-2.5σ (naturally volatile) - **Stock Indices:** 2.5-3.0σ (moderate volatility) - **Forex Major Pairs:** 3.0-3.5σ (typically stable) - **Commodities:** 2.0-3.0σ (varies by commodity) **Jump Clustering Decay (0.5-0.99, Default: 0.85)** Hawkes process memory parameter: - **0.5-0.7:** Fast decay (jumps treated as independent) - **0.8-0.9:** Moderate clustering (realistic market behavior) - **0.95-0.99:** Strong clustering (crisis/event-driven markets) ### Hurst Exponent Analysis Group **Calculation Method Options:** - **Classic R/S:** Original Rescaled Range (fast, simple) - **Adaptive R/S:** Dynamic windowing (recommended for trading) - **DFA:** Detrended Fluctuation Analysis (best for noisy data) **Trending Threshold (0.55-0.8, Default: 0.60)** Hurst value defining persistent market behavior: - **0.55-0.60:** Weak trend persistence - **0.65-0.70:** Clear trending behavior - **0.75-0.80:** Strong momentum regimes **Mean Reversion Threshold (0.2-0.45, Default: 0.40)** Hurst value defining anti-persistent behavior: - **0.35-0.45:** Weak mean reversion - **0.25-0.35:** Clear ranging behavior - **0.15-0.25:** Strong reversion tendency ### Transfer Entropy Parameters Group **Information Flow Analysis:** - **Price-Volume:** Classic flow analysis for accumulation/distribution - **Price-Volatility:** Risk flow analysis for sentiment shifts - **Multi-Timeframe:** Cross-timeframe causality detection **Maximum Lag (2-20, Default: 5)** Causality detection window: - **2-5 bars:** Immediate causality (scalping) - **5-10 bars:** Short-term flow (day trading) - **10-20 bars:** Structural flow (swing trading) **Significance Threshold (0.05-0.3, Default: 0.15)** Minimum entropy for signal generation: - **0.05-0.10:** Detect subtle information flows - **0.10-0.20:** Clear causality only - **0.20-0.30:** Very strong flows only --- ## 🎨 ADVANCED VISUAL SYSTEM ### Tensor Volatility Field Visualization **Five-Layer Resonance Bands:** The tensor field creates dynamic support/resistance zones that expand and contract based on mathematical field strength: - **Core Layer (Purple):** Primary tensor field with highest intensity - **Layer 2 (Neutral):** Secondary mathematical resonance - **Layer 3 (Info Blue):** Tertiary harmonic frequencies - **Layer 4 (Warning Gold):** Outer field boundaries - **Layer 5 (Success Green):** Maximum field extension **Field Strength Calculation:** ``` Field Strength = min(3.0, Mahalanobis Distance × Tensor Intensity) ``` The field amplitude adjusts to ATR and mathematical distance, creating dynamic zones that respond to market volatility. **Radiation Line Network:** During active tensor states, the system projects directional radiation lines showing field energy distribution: - **8 Directional Rays:** Complete angular coverage - **Tapering Segments:** Progressive transparency for natural visual flow - **Pulse Effects:** Enhanced visualization during volatility jumps ### Dimensional Portal System **Portal Mathematics:** Dimensional portals visualize regime transitions using category theory principles: - **Green Portals (◉):** Trending regime detection (appear below price for support) - **Red Portals (◎):** Mean-reverting regime (appear above price for resistance) - **Yellow Portals (○):** Random walk regime (neutral positioning) **Tensor Trail Effects:** Each portal generates 8 trailing particles showing mathematical momentum: - **Large Particles (●):** Strong mathematical signal - **Medium Particles (◦):** Moderate signal strength - **Small Particles (·):** Weak signal continuation - **Micro Particles (˙):** Signal dissipation ### Information Flow Streams **Particle Stream Visualization:** Transfer entropy creates flowing particle streams indicating information direction: - **Upward Streams:** Volume leading price (accumulation phases) - **Downward Streams:** Price leading volume (distribution phases) - **Stream Density:** Proportional to information flow strength **15-Particle Evolution:** Each stream contains 15 particles with progressive sizing and transparency, creating natural flow visualization that makes information transfer immediately apparent. ### Fractal Matrix Grid System **Multi-Timeframe Fractal Levels:** The system calculates and displays fractal highs/lows across five Fibonacci periods: - **8-Period:** Short-term fractal structure - **13-Period:** Intermediate-term patterns - **21-Period:** Primary swing levels - **34-Period:** Major structural levels - **55-Period:** Long-term fractal boundaries **Triple-Layer Visualization:** Each fractal level uses three-layer rendering: - **Shadow Layer:** Widest, darkest foundation (width 5) - **Glow Layer:** Medium white core line (width 3) - **Tensor Layer:** Dotted mathematical overlay (width 1) **Intelligent Labeling System:** Smart spacing prevents label overlap using ATR-based minimum distances. Labels include: - **Fractal Period:** Time-based identification - **Topological Class:** Mathematical complexity rating (0, I, II, III) - **Price Level:** Exact fractal price - **Mahalanobis Distance:** Current mathematical field strength - **Hurst Exponent:** Current regime classification - **Anomaly Indicators:** Visual strength representations (○ ◐ ● ⚡) ### Wick Pressure Analysis **Rejection Level Mathematics:** The system analyzes candle wick patterns to project future pressure zones: - **Upper Wick Analysis:** Identifies selling pressure and resistance zones - **Lower Wick Analysis:** Identifies buying pressure and support zones - **Pressure Projection:** Extends lines forward based on mathematical probability **Multi-Layer Glow Effects:** Wick pressure lines use progressive transparency (1-8 layers) creating natural glow effects that make pressure zones immediately visible without cluttering the chart. ### Enhanced Regime Background **Dynamic Intensity Mapping:** Background colors reflect mathematical regime strength: - **Deep Transparency (98% alpha):** Subtle regime indication - **Pulse Intensity:** Based on regime strength calculation - **Color Coding:** Green (trending), Red (mean-reverting), Neutral (random) **Smoothing Integration:** Regime changes incorporate 10-bar smoothing to prevent background flicker while maintaining responsiveness to genuine regime shifts. ### Color Scheme System **Six Professional Themes:** - **Dark (Default):** Professional trading environment optimization - **Light:** High ambient light conditions - **Classic:** Traditional technical analysis appearance - **Neon:** High-contrast visibility for active trading - **Neutral:** Minimal distraction focus - **Bright:** Maximum visibility for complex setups Each theme maintains mathematical accuracy while optimizing visual clarity for different trading environments and personal preferences. --- ## 📊 INSTITUTIONAL-GRADE DASHBOARD ### Tensor Field Status Section **Field Strength Display:** Real-time Mahalanobis distance calculation with dynamic emoji indicators: - **⚡ (Lightning):** Extreme field strength (>1.5× threshold) - **● (Solid Circle):** Strong field activity (>1.0× threshold) - **○ (Open Circle):** Normal field state **Signal Quality Rating:** Democratic algorithm assessment: - **ELITE:** All 3 components aligned (highest probability) - **STRONG:** 2 components aligned (good probability) - **GOOD:** 1 component active (moderate probability) - **WEAK:** No clear component signals **Threshold and Anomaly Monitoring:** - **Threshold Display:** Current mathematical threshold setting - **Anomaly Level (0-100%):** Combined volatility and volume spike measurement - **>70%:** High anomaly (red warning) - **30-70%:** Moderate anomaly (orange caution) - **<30%:** Normal conditions (green confirmation) ### Tensor State Analysis Section **Mathematical State Classification:** - **↑ BULL (Tensor State +1):** Trending regime with bullish bias - **↓ BEAR (Tensor State -1):** Mean-reverting regime with bearish bias - **◈ SUPER (Tensor State 0):** Random walk regime (neutral) **Visual State Gauge:** Five-circle progression showing tensor field polarity: - **🟢🟢🟢⚪⚪:** Strong bullish mathematical alignment - **⚪⚪🟡⚪⚪:** Neutral/transitional state - **⚪⚪🔴🔴🔴:** Strong bearish mathematical alignment **Trend Direction and Phase Analysis:** - **📈 BULL / 📉 BEAR / ➡️ NEUTRAL:** Primary trend classification - **🌪️ CHAOS:** Extreme information flow (>2.0 flow strength) - **⚡ ACTIVE:** Strong information flow (1.0-2.0 flow strength) - **😴 CALM:** Low information flow (<1.0 flow strength) ### Trading Signals Section **Real-Time Signal Status:** - **🟢 ACTIVE / ⚪ INACTIVE:** Long signal availability - **🔴 ACTIVE / ⚪ INACTIVE:** Short signal availability - **Components (X/3):** Active algorithmic components - **Mode Display:** Current signal generation mode **Signal Strength Visualization:** Color-coded component count: - **Green:** 3/3 components (maximum confidence) - **Aqua:** 2/3 components (good confidence) - **Orange:** 1/3 components (moderate confidence) - **Gray:** 0/3 components (no signals) ### Performance Metrics Section **Win Rate Monitoring:** Estimated win rates based on signal quality with emoji indicators: - **🔥 (Fire):** ≥60% estimated win rate - **👍 (Thumbs Up):** 45-59% estimated win rate - **⚠️ (Warning):** <45% estimated win rate **Mathematical Metrics:** - **Hurst Exponent:** Real-time fractal dimension (0.000-1.000) - **Information Flow:** Volume/price leading indicators - **📊 VOL:** Volume leading price (accumulation/distribution) - **💰 PRICE:** Price leading volume (momentum/speculation) - **➖ NONE:** Balanced information flow - **Volatility Classification:** - **🔥 HIGH:** Above 1.5× jump threshold - **📊 NORM:** Normal volatility range - **😴 LOW:** Below 0.5× jump threshold ### Market Structure Section (Large Dashboard) **Regime Classification:** - **📈 TREND:** Hurst >0.6, momentum strategies optimal - **🔄 REVERT:** Hurst <0.4, contrarian strategies optimal - **🎲 RANDOM:** Hurst ≈0.5, breakout strategies preferred **Mathematical Field Analysis:** - **Dimensions:** Current volatility space complexity (2D-5D) - **Hawkes λ (Lambda):** Self-exciting jump intensity (0.00-1.00) - **Jump Status:** 🚨 JUMP (active) / ✅ NORM (normal) ### Settings Summary Section (Large Dashboard) **Active Configuration Display:** - **Sensitivity:** Current master sensitivity setting - **Lookback:** Primary analysis window - **Theme:** Active color scheme - **Method:** Hurst calculation method (Classic R/S, Adaptive R/S, DFA) **Dashboard Sizing Options:** - **Small:** Essential metrics only (mobile/small screens) - **Normal:** Balanced information density (standard desktop) - **Large:** Maximum detail (multi-monitor setups) **Position Options:** - **Top Right:** Standard placement (avoids price action) - **Top Left:** Wide chart optimization - **Bottom Right:** Recent price focus (scalping) - **Bottom Left:** Maximum price visibility (swing trading) --- ## 🎯 SIGNAL GENERATION LOGIC ### Multi-Component Convergence System **Component Signal Architecture:** The TMAE generates signals through sophisticated component analysis rather than simple threshold crossing: **Volatility Component:** - **Jump Detection:** Mahalanobis distance threshold breach - **Hawkes Intensity:** Self-exciting process activation (>0.2) - **Multi-dimensional:** Considers all volatility dimensions simultaneously **Hurst Regime Component:** - **Trending Markets:** Price above SMA-20 with positive momentum - **Mean-Reverting Markets:** Price at Bollinger Band extremes - **Random Markets:** Bollinger squeeze breakouts with directional confirmation **Transfer Entropy Component:** - **Volume Leadership:** Information flow from volume to price - **Volume Spike:** Volume 110%+ above 20-period average - **Flow Significance:** Above entropy threshold with directional bias ### Democratic Signal Weighting **Signal Mode Implementation:** - **Aggressive Mode:** Any single component triggers signal - **Confluence Mode:** Minimum 2 components must agree - **Conservative Mode:** All 3 components must align **Momentum Confirmation:** All signals require momentum confirmation: - **Long Signals:** RSI >50 AND price >EMA-9 - **Short Signals:** RSI <50 AND price 0.6):** - **Increase Sensitivity:** Catch momentum continuation - **Lower Mean Reversion Threshold:** Avoid counter-trend signals - **Emphasize Volume Leadership:** Institutional accumulation/distribution - **Tensor Field Focus:** Use expansion for trend continuation - **Signal Mode:** Aggressive or Confluence for trend following **Range-Bound Markets (Hurst <0.4):** - **Decrease Sensitivity:** Avoid false breakouts - **Lower Trending Threshold:** Quick regime recognition - **Focus on Price Leadership:** Retail sentiment extremes - **Fractal Grid Emphasis:** Support/resistance trading - **Signal Mode:** Conservative for high-probability reversals **Volatile Markets (High Jump Frequency):** - **Increase Hawkes Decay:** Recognize event clustering - **Higher Jump Threshold:** Avoid noise signals - **Maximum Dimensions:** Capture full volatility complexity - **Reduce Position Sizing:** Risk management adaptation - **Enhanced Visuals:** Maximum information for rapid decisions **Low Volatility Markets (Low Jump Frequency):** - **Decrease Jump Threshold:** Capture subtle movements - **Lower Hawkes Decay:** Treat moves as independent - **Reduce Dimensions:** Simplify analysis - **Increase Position Sizing:** Capitalize on compressed volatility - **Minimal Visuals:** Reduce distraction in quiet markets --- ## 🚀 ADVANCED TRADING STRATEGIES ### The Mathematical Convergence Method **Entry Protocol:** 1. **Fractal Grid Approach:** Monitor price approaching significant fractal levels 2. **Tensor Field Confirmation:** Verify field expansion supporting direction 3. **Portal Signal:** Wait for dimensional portal appearance 4. **ELITE/STRONG Quality:** Only trade highest quality mathematical signals 5. **Component Consensus:** Confirm 2+ components agree in Confluence mode **Example Implementation:** - Price approaching 21-period fractal high - Tensor field expanding upward (bullish mathematical alignment) - Green portal appears below price (trending regime confirmation) - ELITE quality signal with 3/3 components active - Enter long position with stop below fractal level **Risk Management:** - **Stop Placement:** Below/above fractal level that generated signal - **Position Sizing:** Based on Mahalanobis distance (higher distance = smaller size) - **Profit Targets:** Next fractal level or tensor field resistance ### The Regime Transition Strategy **Regime Change Detection:** 1. **Monitor Hurst Exponent:** Watch for persistent moves above/below thresholds 2. **Portal Color Change:** Regime transitions show different portal colors 3. **Background Intensity:** Increasing regime background intensity 4. **Mathematical Confirmation:** Wait for regime confirmation (hysteresis) **Trading Implementation:** - **Trending Transitions:** Trade momentum breakouts, follow trend - **Mean Reversion Transitions:** Trade range boundaries, fade extremes - **Random Transitions:** Trade breakouts with tight stops **Advanced Techniques:** - **Multi-Timeframe:** Confirm regime on higher timeframe - **Early Entry:** Enter on regime transition rather than confirmation - **Regime Strength:** Larger positions during strong regime signals ### The Information Flow Momentum Strategy **Flow Detection Protocol:** 1. **Monitor Transfer Entropy:** Watch for significant information flow shifts 2. **Volume Leadership:** Strong edge when volume leads price 3. **Flow Acceleration:** Increasing flow strength indicates momentum 4. **Directional Confirmation:** Ensure flow aligns with intended trade direction **Entry Signals:** - **Volume → Price Flow:** Enter during accumulation/distribution phases - **Price → Volume Flow:** Enter on momentum confirmation breaks - **Flow Reversal:** Counter-trend entries when flow reverses **Optimization:** - **Scalping:** Use immediate flow detection (2-5 bar lag) - **Swing Trading:** Use structural flow (10-20 bar lag) - **Multi-Asset:** Compare flow between correlated assets ### The Tensor Field Expansion Strategy **Field Mathematics:** The tensor field expansion indicates mathematical pressure building in market structure: **Expansion Phases:** 1. **Compression:** Field contracts, volatility decreases 2. **Tension Building:** Mathematical pressure accumulates 3. **Expansion:** Field expands rapidly with directional movement 4. **Resolution:** Field stabilizes at new equilibrium **Trading Applications:** - **Compression Trading:** Prepare for breakout during field contraction - **Expansion Following:** Trade direction of field expansion - **Reversion Trading:** Fade extreme field expansion - **Multi-Dimensional:** Consider all field layers for confirmation ### The Hawkes Process Event Strategy **Self-Exciting Jump Trading:** Understanding that market shocks cluster and create follow-on opportunities: **Jump Sequence Analysis:** 1. **Initial Jump:** First volatility jump detected 2. **Clustering Phase:** Hawkes intensity remains elevated 3. **Follow-On Opportunities:** Additional jumps more likely 4. **Decay Period:** Intensity gradually decreases **Implementation:** - **Jump Confirmation:** Wait for mathematical jump confirmation - **Direction Assessment:** Use other components for direction - **Clustering Trades:** Trade subsequent moves during high intensity - **Decay Exit:** Exit positions as Hawkes intensity decays ### The Fractal Confluence System **Multi-Timeframe Fractal Analysis:** Combining fractal levels across different periods for high-probability zones: **Confluence Zones:** - **Double Confluence:** 2 fractal levels align - **Triple Confluence:** 3+ fractal levels cluster - **Mathematical Confirmation:** Tensor field supports the level - **Information Flow:** Transfer entropy confirms direction **Trading Protocol:** 1. **Identify Confluence:** Find 2+ fractal levels within 1 ATR 2. **Mathematical Support:** Verify tensor field alignment 3. **Signal Quality:** Wait for STRONG or ELITE signal 4. **Risk Definition:** Use fractal level for stop placement 5. **Profit Targeting:** Next major fractal confluence zone --- ## ⚠️ COMPREHENSIVE RISK MANAGEMENT ### Mathematical Position Sizing **Mahalanobis Distance Integration:** Position size should inversely correlate with mathematical field strength: ``` Position Size = Base Size × (Threshold / Mahalanobis Distance) ``` **Risk Scaling Matrix:** - **Low Field Strength (<2.0):** Standard position sizing - **Moderate Field Strength (2.0-3.0):** 75% position sizing - **High Field Strength (3.0-4.0):** 50% position sizing - **Extreme Field Strength (>4.0):** 25% position sizing or no trade ### Signal Quality Risk Adjustment **Quality-Based Position Sizing:** - **ELITE Signals:** 100% of planned position size - **STRONG Signals:** 75% of planned position size - **GOOD Signals:** 50% of planned position size - **WEAK Signals:** No position or paper trading only **Component Agreement Scaling:** - **3/3 Components:** Full position size - **2/3 Components:** 75% position size - **1/3 Components:** 50% position size or skip trade ### Regime-Adaptive Risk Management **Trending Market Risk:** - **Wider Stops:** Allow for trend continuation - **Trend Following:** Trade with regime direction - **Higher Position Size:** Trend probability advantage - **Momentum Stops:** Trail stops based on momentum indicators **Mean-Reverting Market Risk:** - **Tighter Stops:** Quick exits on trend continuation - **Contrarian Positioning:** Trade against extremes - **Smaller Position Size:** Higher reversal failure rate - **Level-Based Stops:** Use fractal levels for stops **Random Market Risk:** - **Breakout Focus:** Trade only clear breakouts - **Tight Initial Stops:** Quick exit if breakout fails - **Reduced Frequency:** Skip marginal setups - **Range-Based Targets:** Profit targets at range boundaries ### Volatility-Adaptive Risk Controls **High Volatility Periods:** - **Reduced Position Size:** Account for wider price swings - **Wider Stops:** Avoid noise-based exits - **Lower Frequency:** Skip marginal setups - **Faster Exits:** Take profits more quickly **Low Volatility Periods:** - **Standard Position Size:** Normal risk parameters - **Tighter Stops:** Take advantage of compressed ranges - **Higher Frequency:** Trade more setups - **Extended Targets:** Allow for compressed volatility expansion ### Multi-Timeframe Risk Alignment **Higher Timeframe Trend:** - **With Trend:** Standard or increased position size - **Against Trend:** Reduced position size or skip - **Neutral Trend:** Standard position size with tight management **Risk Hierarchy:** 1. **Primary:** Current timeframe signal quality 2. **Secondary:** Higher timeframe trend alignment 3. **Tertiary:** Mathematical field strength 4. **Quaternary:** Market regime classification --- ## 📚 EDUCATIONAL VALUE AND MATHEMATICAL CONCEPTS ### Advanced Mathematical Concepts **Tensor Analysis in Markets:** The TMAE introduces traders to tensor analysis, a branch of mathematics typically reserved for physics and advanced engineering. Tensors provide a framework for understanding multi-dimensional market relationships that scalar and vector analysis cannot capture. **Information Theory Applications:** Transfer entropy implementation teaches traders about information flow in markets, a concept from information theory that quantifies directional causality between variables. This provides intuition about market microstructure and participant behavior. **Fractal Geometry in Trading:** The Hurst exponent calculation exposes traders to fractal geometry concepts, helping understand that markets exhibit self-similar patterns across multiple timeframes. This mathematical insight transforms how traders view market structure. **Stochastic Process Theory:** The Hawkes process implementation introduces concepts from stochastic process theory, specifically self-exciting point processes. This provides mathematical framework for understanding why market events cluster and exhibit memory effects. ### Learning Progressive Complexity **Beginner Mathematical Concepts:** - **Volatility Dimensions:** Understanding multi-dimensional analysis - **Regime Classification:** Learning market personality types - **Signal Democracy:** Algorithmic consensus building - **Visual Mathematics:** Interpreting mathematical concepts visually **Intermediate Mathematical Applications:** - **Mahalanobis Distance:** Statistical distance in multi-dimensional space - **Rescaled Range Analysis:** Fractal dimension measurement - **Information Entropy:** Quantifying uncertainty and causality - **Field Theory:** Understanding mathematical fields in market context **Advanced Mathematical Integration:** - **Tensor Field Dynamics:** Multi-dimensional market force analysis - **Stochastic Self-Excitation:** Event clustering and memory effects - **Categorical Composition:** Mathematical signal combination theory - **Topological Market Analysis:** Understanding market shape and connectivity ### Practical Mathematical Intuition **Developing Market Mathematics Intuition:** The TMAE serves as a bridge between abstract mathematical concepts and practical trading applications. Traders develop intuitive understanding of: - **How markets exhibit mathematical structure beneath apparent randomness** - **Why multi-dimensional analysis reveals patterns invisible to single-variable approaches** - **How information flows through markets in measurable, predictable ways** - **Why mathematical models provide probabilistic edges rather than certainties** --- ## 🔬 IMPLEMENTATION AND OPTIMIZATION ### Getting Started Protocol **Phase 1: Observation (Week 1)** 1. **Apply with defaults:** Use standard settings on your primary trading timeframe 2. **Study visual elements:** Learn to interpret tensor fields, portals, and streams 3. **Monitor dashboard:** Observe how metrics change with market conditions 4. **No trading:** Focus entirely on pattern recognition and understanding **Phase 2: Pattern Recognition (Week 2-3)** 1. **Identify signal patterns:** Note what market conditions produce different signal qualities 2. **Regime correlation:** Observe how Hurst regimes affect signal performance 3. **Visual confirmation:** Learn to read tensor field expansion and portal signals 4. **Component analysis:** Understand which components drive signals in different markets **Phase 3: Parameter Optimization (Week 4-5)** 1. **Asset-specific tuning:** Adjust parameters for your specific trading instrument 2. **Timeframe optimization:** Fine-tune for your preferred trading timeframe 3. **Sensitivity adjustment:** Balance signal frequency with quality 4. **Visual customization:** Optimize colors and intensity for your trading environment **Phase 4: Live Implementation (Week 6+)** 1. **Paper trading:** Test signals with hypothetical trades 2. **Small position sizing:** Begin with minimal risk during learning phase 3. **Performance tracking:** Monitor actual vs. expected signal performance 4. **Continuous optimization:** Refine settings based on real performance data ### Performance Monitoring System **Signal Quality Tracking:** - **ELITE Signal Win Rate:** Track highest quality signals separately - **Component Performance:** Monitor which components provide best signals - **Regime Performance:** Analyze performance across different market regimes - **Timeframe Analysis:** Compare performance across different session times **Mathematical Metric Correlation:** - **Field Strength vs. Performance:** Higher field strength should correlate with better performance - **Component Agreement vs. Win Rate:** More component agreement should improve win rates - **Regime Alignment vs. Success:** Trading with mathematical regime should outperform ### Continuous Optimization Process **Monthly Review Protocol:** 1. **Performance Analysis:** Review win rates, profit factors, and maximum drawdown 2. **Parameter Assessment:** Evaluate if current settings remain optimal 3. **Market Adaptation:** Adjust for changes in market character or volatility 4. **Component Weighting:** Consider if certain components should receive more/less emphasis **Quarterly Deep Analysis:** 1. **Mathematical Model Validation:** Verify that mathematical relationships remain valid 2. **Regime Distribution:** Analyze time spent in different market regimes 3. **Signal Evolution:** Track how signal characteristics change over time 4. **Correlation Analysis:** Monitor correlations between different mathematical components --- ## 🌟 UNIQUE INNOVATIONS AND CONTRIBUTIONS ### Revolutionary Mathematical Integration **First-Ever Implementations:** 1. **Multi-Dimensional Volatility Tensor:** First indicator to implement true tensor analysis for market volatility 2. **Real-Time Hawkes Process:** First trading implementation of self-exciting point processes 3. **Transfer Entropy Trading Signals:** First practical application of information theory for trade generation 4. **Democratic Component Voting:** First algorithmic consensus system for signal generation 5. **Fractal-Projected Signal Quality:** First system to predict signal quality at future price levels ### Advanced Visualization Innovations **Mathematical Visualization Breakthroughs:** - **Tensor Field Radiation:** Visual representation of mathematical field energy - **Dimensional Portal System:** Category theory visualization for regime transitions - **Information Flow Streams:** Real-time visual display of market information transfer - **Multi-Layer Fractal Grid:** Intelligent spacing and projection system - **Regime Intensity Mapping:** Dynamic background showing mathematical regime strength ### Practical Trading Innovations **Trading System Advances:** - **Quality-Weighted Signal Generation:** Signals rated by mathematical confidence - **Regime-Adaptive Strategy Selection:** Automatic strategy optimization based on market personality - **Anti-Spam Signal Protection:** Mathematical prevention of signal clustering - **Component Performance Tracking:** Real-time monitoring of algorithmic component success - **Field-Strength Position Sizing:** Mathematical volatility integration for risk management --- ## ⚖️ RESPONSIBLE USAGE AND LIMITATIONS ### Mathematical Model Limitations **Understanding Model Boundaries:** While the TMAE implements sophisticated mathematical concepts, traders must understand fundamental limitations: - **Markets Are Not Purely Mathematical:** Human psychology, news events, and fundamental factors create unpredictable elements - **Past Performance Limitations:** Mathematical relationships that worked historically may not persist indefinitely - **Model Risk:** Complex models can fail during unprecedented market conditions - **Overfitting Potential:** Highly optimized parameters may not generalize to future market conditions ### Proper Implementation Guidelines **Risk Management Requirements:** - **Never Risk More Than 2% Per Trade:** Regardless of signal quality - **Diversification Mandatory:** Don't rely solely on mathematical signals - **Position Sizing Discipline:** Use mathematical field strength for sizing, not confidence - **Stop Loss Non-Negotiable:** Every trade must have predefined risk parameters **Realistic Expectations:** - **Mathematical Edge, Not Certainty:** The indicator provides probabilistic advantages, not guaranteed outcomes - **Learning Curve Required:** Complex mathematical concepts require time to master - **Market Adaptation Necessary:** Parameters must evolve with changing market conditions - **Continuous Education Important:** Understanding underlying mathematics improves application ### Ethical Trading Considerations **Market Impact Awareness:** - **Information Asymmetry:** Advanced mathematical analysis may provide advantages over other market participants - **Position Size Responsibility:** Large positions based on mathematical signals can impact market structure - **Sharing Knowledge:** Consider educational contributions to trading community - **Fair Market Participation:** Use mathematical advantages responsibly within market framework ### Professional Development Path **Skill Development Sequence:** 1. **Basic Mathematical Literacy:** Understand fundamental concepts before advanced application 2. **Risk Management Mastery:** Develop disciplined risk control before relying on complex signals 3. **Market Psychology Understanding:** Combine mathematical analysis with behavioral market insights 4. **Continuous Learning:** Stay updated on mathematical finance developments and market evolution --- ## 🔮 CONCLUSION The Tensor Market Analysis Engine represents a quantum leap forward in technical analysis, successfully bridging the gap between advanced pure mathematics and practical trading applications. By integrating multi-dimensional volatility analysis, fractal market theory, and information flow dynamics, the TMAE reveals market structure invisible to conventional analysis while maintaining visual clarity and practical usability. ### Mathematical Innovation Legacy This indicator establishes new paradigms in technical analysis: - **Tensor analysis for market volatility understanding** - **Stochastic self-excitation for event clustering prediction** - **Information theory for causality-based trade generation** - **Democratic algorithmic consensus for signal quality enhancement** - **Mathematical field visualization for intuitive market understanding** ### Practical Trading Revolution Beyond mathematical innovation, the TMAE transforms practical trading: - **Quality-rated signals replace binary buy/sell decisions** - **Regime-adaptive strategies automatically optimize for market personality** - **Multi-dimensional risk management integrates mathematical volatility measures** - **Visual mathematical concepts make complex analysis immediately interpretable** - **Educational value creates lasting improvement in trading understanding** ### Future-Proof Design The mathematical foundations ensure lasting relevance: - **Universal mathematical principles transcend market evolution** - **Multi-dimensional analysis adapts to new market structures** - **Regime detection automatically adjusts to changing market personalities** - **Component democracy allows for future algorithmic additions** - **Mathematical visualization scales with increasing market complexity** ### Commitment to Excellence The TMAE represents more than an indicator—it embodies a philosophy of bringing rigorous mathematical analysis to trading while maintaining practical utility and visual elegance. Every component, from the multi-dimensional tensor fields to the democratic signal generation, reflects a commitment to mathematical accuracy, trading practicality, and educational value. ### Trading with Mathematical Precision In an era where markets grow increasingly complex and computational, the TMAE provides traders with mathematical tools previously available only to institutional quantitative research teams. Yet unlike academic mathematical models, the TMAE translates complex concepts into intuitive visual representations and practical trading signals. By combining the mathematical rigor of tensor analysis, the statistical power of multi-dimensional volatility modeling, and the information-theoretic insights of transfer entropy, traders gain unprecedented insight into market structure and dynamics. ### Final Perspective Markets, like nature, exhibit profound mathematical beauty beneath apparent chaos. The Tensor Market Analysis Engine serves as a mathematical lens that reveals this hidden order, transforming how traders perceive and interact with market structure. Through mathematical precision, visual elegance, and practical utility, the TMAE empowers traders to see beyond the noise and trade with the confidence that comes from understanding the mathematical principles governing market behavior. Trade with mathematical insight. Trade with the power of tensors. Trade with the TMAE. *"In mathematics, you don't understand things. You just get used to them." - John von Neumann* *With the TMAE, mathematical market understanding becomes not just possible, but intuitive.* — Dskyz, Trade with insight. Trade with anticipation.
Indicatore Pine Script®
di DskyzInvestments
15
Breakout Confirmation🔍 Indicator Name: Breakout Confirmation (Body + Volume) 📌 Purpose: This indicator is designed to detect high-probability breakout setups based on price structure and volume strength. It identifies moments when the market breaks through a key support or resistance level, confirmed by two consecutive strong candles with large real bodies and high volume. ⚙️ How It Works 1. Support and Resistance Detection The indicator uses pivot points to identify potential horizontal support and resistance levels. A pivot high or pivot low is considered valid if it stands out over a configurable number of candles (default: 50). Only the most recent valid support and resistance levels are tracked and displayed as horizontal lines on the chart. 2. Breakout Setup The breakout condition is defined as: First Candle (Breakout Candle): Large body (compared to the recent body average) High volume (compared to the recent volume average) Must close beyond a resistance or support level: Close above resistance (bullish breakout) Close below support (bearish breakout) Second Candle (Confirmation Candle): Also must have a large body and high volume Must continue in the direction of the breakout (i.e., higher close in bullish breakouts, lower close in bearish ones) 3. Signal Plotting If both candles meet the criteria, the indicator plots: A green triangle below the candle for bullish breakouts A red triangle above the candle for bearish breakouts 📈 How to Interpret the Signals ✅ Green triangle below a candle: Indicates a confirmed bullish breakout. The price has closed above a recent resistance level with strength. The trend may continue higher — possible entry for long positions. 🔻 Red triangle above a candle: Indicates a confirmed bearish breakout. The price has closed below a recent support level with strength. Potential signal to enter short or exit long positions. ⚠️ The plotted horizontal lines show the last key support and resistance levels. These are the zones being monitored for breakouts. 📊 How to Use It Timeframe: Works best on higher timeframes (1H, 4H, Daily), but can be tested on any chart. Entry: Consider entries after the second candle confirms the breakout. Stop Loss: For longs: Below the breakout candle or the broken resistance For shorts: Above the breakout candle or broken support Take Profit: Based on previous structure, risk:reward ratios, or using trailing stops. Filter with Trend or Other Indicators (optional): You can combine this with moving averages, RSI, or market structure for confluence. 🛠️ Customization Parameters lengthSR: How many candles to look back for identifying support/resistance pivots. volLength: Length of the moving average for volume and body size comparison. bodyMultiplier: Multiplier threshold to define a “large” body. volMultiplier: Multiplier threshold to define “high” volume. ✅ Ideal For: Price action traders Breakout traders Traders who use volume analysis Anyone looking to automate the detection of breakout + confirmation setups
Indicatore Pine Script®
di BullBearSR
Timeframe Resistance Evaluation And Detection - CoffeeKillerTREAD - Timeframe Resistance Evaluation And Detection Guide 🔔 Important Technical Limitation 🔔 **This indicator does NOT fetch true higher timeframe data.** Instead, it simulates higher timeframe levels by aggregating data from your current chart timeframe. This means: - Results will vary depending on what chart timeframe you're viewing - Levels may not match actual higher timeframe candle highs/lows - You might miss important wicks or gaps that occurred between chart timeframe bars - **Always verify levels against actual higher timeframe charts before trading** Welcome traders! This guide will walk you through the TREAD (Timeframe Resistance Evaluation And Detection) indicator, a multi-timeframe analysis tool developed by CoffeeKiller that identifies support and resistance confluence across different time periods.(I am 50+ year old trader and always thought I was bad a teaching and explaining so you get a AI guide. I personally use this on the 5 minute chart with the default settings, but to each there own and if you can improve the trend detection methods please DM me. I would like to see the code. Thanks) Core Components 1. Dual Timeframe Level Tracking - Short Timeframe Levels: Tracks opening price extremes within shorter periods - Long Timeframe Levels: Tracks actual high/low extremes within longer periods - Dynamic Reset Mechanism: Levels reset at the start of each new timeframe period - Momentum Detection: Identifies when levels change mid-period, indicating active price movement 2. Visual Zone System - High Zones: Areas between long timeframe highs and short timeframe highs - Low Zones: Areas between long timeframe lows and short timeframe lows - Fill Coloring: Dynamic colors based on whether levels are static or actively changing - Momentum Highlighting: Special colors when levels break during active periods 3. Customizable Display Options - Multiple Plot Styles: Line, circles, or cross markers - Flexible Timeframe Selection: Wide range of short and long timeframe combinations - Color Customization: Separate colors for each level type and momentum state - Toggle Controls: Show/hide different elements based on trading preference Main Features Timeframe Settings - Short Timeframe Options: 15m, 30m, 1h, 2h, 4h - Long Timeframe Options: 1h, 2h, 4h, 8h, 12h, 1D, 1W - Recommended Combinations: - Scalping: 15m/1h or 30m/2h - Day Trading: 30m/4h or 1h/4h - Swing Trading: 4h/1D or 1D/1W Display Configuration - Level Visibility: Toggle short/long timeframe levels independently - Fill Zone Control: Enable/disable colored zones between levels - Momentum Fills: Special highlighting for actively changing levels - Line Customization: Width, style, and color options for all elements Color System - Short TF High: Default red for resistance levels - Short TF Low: Default green for support levels - Long TF High: Transparent red for broader resistance context - Long TF Low: Transparent green for broader support context - Momentum Colors: Brighter colors when levels are actively changing Technical Implementation Details How Level Tracking Works The indicator uses a custom tracking function that: 1. Detects Timeframe Periods: Uses `time()` function to identify when new periods begin 2. Tracks Extremes: Monitors highest/lowest values within each period 3. Resets on New Periods: Clears tracking when timeframe periods change 4. Updates Mid-Period: Continues tracking if new extremes are reached The Timeframe Limitation Explained `pinescript // What the indicator does: short_tf_start = ta.change(time(short_timeframe)) != 0 // Detects 30m period start = track_highest(open, short_tf_start) // BUT uses chart TF opens! // What true multi-timeframe would be: // short_tf_high = request.security(syminfo.tickerid, short_timeframe, high) ` This means: - On a 5m chart with 30m/4h settings: Tracks 5m bar opens during 30m and 4h windows - On a 1m chart with same settings: Tracks 1m bar opens during 30m and 4h windows - Results will be different between chart timeframes - May miss important price action that occurred between your chart's bars Visual Elements 1. Level Lines - Short TF High: Upper resistance line from shorter timeframe analysis - Short TF Low: Lower support line from shorter timeframe analysis - Long TF High: Broader resistance context from longer timeframe - Long TF Low: Broader support context from longer timeframe 2. Zone Fills - High Zone: Area between long TF high and short TF high (potential resistance cluster) - Low Zone: Area between long TF low and short TF low (potential support cluster) - Regular Fill: Standard transparency when levels are static - Momentum Fill: Enhanced visibility when levels are actively changing 3. Dynamic Coloring - Static Periods: Normal colors when levels haven't changed recently - Active Periods: Momentum colors when levels are being tested/broken - Confluence Zones: Different intensities based on timeframe alignment Trading Applications 1. Support/Resistance Trading - Entry Points: Trade bounces from zone boundaries - Confluence Areas: Focus on areas where short and long TF levels cluster - Zone Breaks: Enter on confirmed breaks through entire zones - Multiple Timeframe Confirmation: Stronger signals when both timeframes align 2. Range Trading - Zone Boundaries: Use fill zones as range extremes - Mean Reversion: Trade back toward opposite zone when price reaches extremes - Breakout Preparation: Watch for momentum color changes indicating potential breakouts - Risk Management: Place stops outside the opposite zone 3. Trend Following - Direction Bias: Trade in direction of zone breaks - Pullback Entries: Enter on pullbacks to broken zones (now support/resistance) - Momentum Confirmation: Use momentum coloring to confirm trend strength - Multiple Timeframe Alignment: Strongest trends when both timeframes agree 4. Scalping Applications - Quick Bounces: Trade rapid moves between zone boundaries - Momentum Signals: Enter when momentum colors appear - Short-Term Targets: Use opposite zone as profit target - Tight Stops: Place stops just outside current zone Optimization Guide 1. Timeframe Selection For Different Trading Styles: - Scalping: 15m/1h - Quick levels, frequent updates - Day Trading: 30m/4h - Balanced view, good for intraday moves - Swing Trading: 4h/1D - Longer-term perspective, fewer false signals - Position Trading: 1D/1W - Major structural levels 2. Chart Timeframe Considerations **Important**: Your chart timeframe affects results - Lower Chart TF: More granular level tracking, but may be noisy - Higher Chart TF: Smoother levels, but may miss important price action - Recommended: Use chart timeframe 2-4x smaller than short indicator timeframe 3. Display Settings - Busy Charts: Disable fills, show only key levels - Clean Analysis: Enable all fills and momentum coloring - Multi-Monitor Setup: Use different color schemes for easy identification - Mobile Trading: Increase line width for visibility Best Practices 1. Level Verification - Always Cross-Check: Verify levels against actual higher timeframe charts - Multiple Timeframes: Check 2-3 different chart timeframes for consistency - Price Action Confirmation: Wait for candlestick confirmation at levels - Volume Analysis: Combine with volume for stronger confirmation 2. Risk Management - Stop Placement: Use zones rather than exact prices for stops - Position Sizing: Reduce size when zones are narrow (higher risk) - Multiple Targets: Scale out at different zone boundaries - False Break Protection: Allow for minor zone penetrations 3. Signal Quality Assessment - Momentum Colors: Higher probability when momentum coloring appears - Zone Width: Wider zones often provide stronger support/resistance - Historical Testing: Backtest on your preferred timeframe combinations - Market Conditions: Adjust sensitivity based on volatility Advanced Features 1. Momentum Detection System The indicator tracks when levels change mid-period: `pinescript short_high_changed = short_high != short_high and not short_tf_start ` This identifies: - Active level testing - Potential breakout situations - Increased market volatility - Trend acceleration points 2. Dynamic Color System Complex conditional logic determines fill colors: - Static Zones: Regular transparency for stable levels - Active Zones: Enhanced colors for changing levels - Mixed States: Different combinations based on user preferences - Custom Overrides: User can prioritize certain color schemes 3. Zone Interaction Analysis - Convergence: When short and long TF levels approach each other - Divergence: When timeframes show conflicting levels - Alignment: When both timeframes agree on direction - Transition: When one timeframe changes while other remains static Common Issues and Solutions 1. Inconsistent Levels Problem: Levels look different on various chart timeframes Solution: Always verify against actual higher timeframe charts 2. Missing Price Action Problem: Important wicks or gaps not reflected in levels Solution: Use chart timeframe closer to indicator's short timeframe setting 3. Too Many Signals Problem: Excessive level changes and momentum alerts Solution: Increase timeframe settings or reduce chart timeframe granularity 4. Lagging Signals Problem: Levels seem to update too slowly Solution: Decrease chart timeframe or use more sensitive timeframe combinations Recommended Setups Conservative Approach - Timeframes: 4h/1D - Chart: 1h - Display: Show fills only, no momentum coloring - Use: Swing trading, position management Aggressive Approach - Timeframes: 15m/1h - Chart: 5m - Display: All features enabled, momentum highlighting - Use: Scalping, quick reversal trades Balanced Approach - Timeframes: 30m/4h - Chart: 15m - Display: Selective fills, momentum on key levels - Use: Day trading, multi-session analysis Final Notes **Remember**: This indicator provides a synthetic view of multi-timeframe levels, not true higher timeframe data. While useful for identifying potential confluence areas, always verify important levels by checking actual higher timeframe charts. **Best Results When**: - Combined with actual multi-timeframe analysis - Used for confluence confirmation rather than primary signals - Applied with proper risk management - Verified against price action and volume **DISCLAIMER**: This indicator and its signals are intended solely for educational and informational purposes. The timeframe limitation means results may not reflect true higher timeframe levels. Always conduct your own analysis and verify levels independently before making trading decisions. Trading involves significant risk of loss.
Indicatore Pine Script®
di CoffeeKiller
MACD Support and Resistance [ChartPrime]⯁ OVERVIEW MACD Support and Resistance is a dynamic support/resistance mapping tool powered by MACD crossover logic. Each time the MACD line crosses the signal line, the indicator scans for recent price extremes and locks them in as potential support or resistance zones. These levels are automatically cleaned up if price breaks them, keeping the chart focused on active market structure. The system includes a built-in MACD display with visual markers, along with contextual highs and lows to help define the current environment. ⯁ MACD-BASED SUPPORT/RESISTANCE GENERATION The core logic uses the MACD oscillator crossover as a trigger event to generate structural levels: When MACD crosses above its signal line:   → The script scans the last 5 bars for the lowest low .   → A support level is plotted at that price. When MACD crosses below its signal line:   → The script scans the last 5 bars for the highest high .   → A resistance level is plotted at that price. These dynamic levels reflect where price recently reversed or paused, making them prime zones for reaction, continuation, or invalidation. ⯁ LEVEL MANAGEMENT AND VALIDATION To keep the chart clean and relevant: A maximum of 20 active levels are allowed at once. Older levels are automatically removed if the list exceeds the limit. If price closes below a support level or above a resistance level , the corresponding line is deleted. This ensures that only currently respected levels remain on the chart — a major advantage for active traders. ⯁ MACD VISUALIZATION + SIGNAL MARKERS A full MACD system is rendered on the lower panel for visual confirmation: The MACD line and Signal line are both plotted and color-coded dynamically. A filled area] highlights the spread between them to emphasize momentum strength. A diamond marker is drawn each time MACD crosses its signal line, alerting traders to potential trend shifts. These visuals make it easy to understand the timing of the support/resistance updates. ⯁ LOCAL EXTREME REFERENCE LINES To help contextualize current price position relative to recent market extremes: A Local High line is plotted based on the highest MACD value over the past 100 bars]. A Local Low line is plotted based on the lowest MACD value over the past 100 bars]. These levels are rendered lightly and serve as dynamic range boundaries. They assist traders in identifying overextended or compressed MACD behavior. ⯁ USAGE Use the generated S/R levels as breakout or reversal zones. Watch for MACD diamond markers to confirm the timing of new levels. Combine these reactive zones with other ChartPrime confluence tools for higher-confidence entries. Use the Local High/Low zones as a volatility envelope to guide risk and trend continuation potential. ⯁ CONCLUSION MACD Support and Resistance takes a classic momentum indicator and adds real-time structural awareness. By linking MACD crossover events to recent price extremes, it identifies the zones where market sentiment shifted — and continues to monitor their strength. Whether you're a breakout trader or looking to fade key reaction points, this tool delivers clean, actionable levels based on momentum and structure — not guesswork.
Indicatore Pine Script®
di ChartPrime
18
Support and Resistance MTFSupport and Resistance MTF Support and Resistance MTF is a powerful tool that automatically detects and visualizes key support and resistance levels based on pivot highs and lows, using a higher timeframe of your choice. It is designed for traders who focus on price action and market structure, and want an adaptive, clean, and customizable indicator that helps identify important market zones. The script uses configurable pivot logic to identify levels, with user-defined parameters for pivot strength and timeframe. Once a support or resistance level is detected, it is displayed on the chart either as a horizontal line, a shaded box, or both, depending on your display settings. You can fully customize the visual appearance including color, transparency, and line thickness. Levels are automatically extended into the future, and optionally into the past, to give better context. Each level is monitored for breakout behavior. If price breaks through a level, it can change its role — a former resistance may become support, and vice versa. After a certain number of breakouts (which you define), the level is considered invalid and is automatically removed from the chart. This helps to maintain a clean visual layout and ensures only relevant levels are shown. The indicator supports multi-timeframe analysis, allowing you to overlay higher-timeframe structure directly on your lower-timeframe trading chart. It is also compatible with Heikin Ashi candles internally for reference, without affecting your main chart type. Support and Resistance MTF is ideal for traders looking to align intraday setups with higher-timeframe zones, manage risk around structural levels, or simply highlight market turning points in a clear and automated way. Built with Pine Script v5 and optimized for performance, it is both powerful and lightweight. ⚙️ Input Parameters – Description [Time-Frame Defines the higher timeframe used for detecting support and resistance levels. For example, you can set this to 1h, 4h, or D to visualize significant levels from a broader market perspective on a lower-timeframe chart. Left / Right (Pivot Left / Pivot Right) These parameters control the sensitivity of the pivot detection. A pivot high/low is confirmed if it is higher/lower than the defined number of candles to its left and right. Higher values reduce noise but may miss smaller turning points. Extend Left When enabled, the drawn levels (lines and/or boxes) are extended to the left side of the chart, allowing you to see the historical alignment of these levels. Max Breaks Before Delete Defines how many times a level can be broken by price before it is removed from the chart. This helps to avoid clutter from outdated or invalidated levels and keeps your chart relevant to current price action. Draw Lines Only If enabled, the indicator will draw only horizontal lines for support and resistance zones, omitting the colored background boxes. Useful for a cleaner chart appearance. Line Width Broken Level Sets the thickness of the support/resistance lines. Thicker lines can emphasize key levels, especially after a breakout. Transparency Boxes Controls the transparency (0–100) of the background boxes representing the zones. A higher value makes the boxes more transparent, lower values make them more opaque. Transparency Lines Controls the transparency (0–100) of the horizontal support and resistance lines. This allows for visual fine-tuning based on chart background and personal preference. Support (Color, Group: Display) Lets you choose the color used for support zones and lines. By default, it's green, but you can change it to fit your theme or visual preference. Resistance (Color, Group: Display) Defines the color for resistance zones and lines. The default is red, but it can be customized freely.
Indicatore Pine Script®
di veegee82
2
Dual Stochastic Enhanced (with Presets giua64)Script Title: Dual Stochastic Enhanced (with Presets giua64) Overview: This indicator enhances the traditional Dual Stochastic strategy, aiming to provide more filtered and potentially reliable trading signals. By integrating dynamic overbought/oversold levels via Bollinger Bands on the slow stochastic, a trend filter based on a moving average, momentum confirmation via RSI, and user-friendly selectable presets, "Dual Stochastic Enhanced" seeks to offer a more robust approach to identifying potential entry points. Key Features: Dual Stochastics: Utilizes a slow stochastic (configurable, e.g., 14 periods) as a context filter and a fast stochastic (configurable, e.g., 5 periods) as a signal trigger. Bollinger Bands on Slow Stochastic: Instead of fixed overbought/oversold levels (80/20), Bollinger Bands are applied to the %K line of the slow stochastic. This creates dynamic zones that adapt to the stochastic's own volatility. Trend Filter: A moving average (configurable type and length, e.g., EMA 100 as seen in the example chart for general context) on the price helps filter signals, allowing only trades aligned with the prevailing trend. RSI Confirmation: An RSI oscillator (configurable length, e.g., 14 periods) is used to confirm momentum. Signals require the RSI to cross certain thresholds to validate the strength of the move. User Presets: Includes presets for "Scalping," "Intraday," and "Swing trading," which quickly set all key parameters to suit different styles and timeframes. A "Custom" option is also available for full manual configuration. Clear Visual Signals: Long (green) and Short (red) arrows appear on the chart when all entry conditions are met. Active Zone Highlighting: The background of the indicator panel changes color (green or red) when "active zone" conditions (a combination of stochastics, trend, and RSI) are favorable. Information Panel: A table in the top-right corner of the indicator panel displays the current status of the selected preset, trend filter, RSI value, and stochastic levels. Signal Logic: A LONG signal is generated when: The fast stochastic %K crosses above its %D line. The slow stochastic %K line is below its lower Bollinger Band (dynamic oversold condition). The fast stochastic %K line is also in a low area (e.g., <25) to confirm the trigger is not premature. The closing price is above the trend moving average (uptrend). The RSI is above its long confirmation level (e.g., >40), indicating sufficient bullish momentum. A SHORT signal is generated when: The fast stochastic %K crosses below its %D line. The slow stochastic %K line is above its upper Bollinger Band (dynamic overbought condition). The fast stochastic %K line is also in a high area (e.g., >75). The closing price is below the trend moving average (downtrend). The RSI is below its short confirmation level (e.g., <60), indicating sufficient bearish momentum. How to Use: Select a Preset suitable for your trading style and the timeframe you are analyzing (e.g., Scalping for M1-M15, Intraday for M5-H1, Swing for H4-D1). Alternatively, choose "Custom" and manually adjust all parameters (stochastic lengths, smoothing, Bollinger Bands, Moving Average, RSI, confirmation thresholds). Observe the Information Panel for a quick understanding of the current conditions. Evaluate the arrow signals, always considering the broader market context, price action, and any other confluences (supports/resistances, chart patterns). The background highlighting can help quickly identify periods where conditions are aligned for potential trades. Disclaimer: This script is provided for educational and informational purposes only. Trading involves significant risk, and past performance is not indicative of future results. Always thoroughly test any strategy or indicator on historical data and on a demo account before risking real capital. The author assumes no responsibility for any losses incurred from the use of this script. Author: giua64
Indicatore Pine Script®
di giua64
2
Gamma + Fibonacci EMA Bands# Gamma + Fibonacci EMA Bands ## Overview The Gamma + Fibonacci EMA Bands indicator combines two powerful analytical approaches: Gamma-weighted Exponential Moving Averages and Fibonacci sequence-based standard EMAs. This dual system creates a comprehensive "band" structure that helps identify trend direction, strength, and potential reversal zones with greater precision than single moving average systems. ## Features - **Gamma-weighted EMAs**: Three customizable Gamma EMAs (fast-responding) with adjustable gamma parameters - **Fibonacci Sequence EMAs**: Six standard EMAs based on the Fibonacci sequence (34, 55, 89, 144, 233, 377) - **Visual Band Structure**: Color-coded for instant visual analysis - **Trend Confirmation**: Multiple timeframe validation through varied moving average periods - **Support/Resistance Identification**: Natural price reaction zones highlighted by EMA confluences ## How It Works The indicator uses two complementary EMA systems: 1. **Gamma EMAs** (γ-EMAs) - These responsive moving averages use a direct gamma weighting factor (between 0-1) rather than a period length. Lower gamma values create smoother lines, while higher values create more responsive ones. These react quickly to price changes and serve as short-term trend indicators. 2. **Fibonacci EMAs** - These traditional EMAs use period lengths based on the Fibonacci sequence (34, 55, 89, 144, 233, 377). They provide longer-term trend context and naturally identify key support/resistance levels that align with market psychology. ## Interpretation ### Trend Direction - When price is above all bands: Strong bullish trend - When price is below all bands: Strong bearish trend - When price is between bands: Consolidation or trend transition ### Support/Resistance - Gamma EMAs (purple shades): Short-term dynamic support/resistance - Fibonacci EMAs (orange/red shades): Stronger, longer-term support/resistance ### Trend Strength - Wider band separation: Stronger trend momentum - Compressed bands: Consolidation or trend weakness ### Reversal Signals - Price breaking through multiple bands: Potential trend reversal - Gamma EMAs crossing Fibonacci EMAs: Changing momentum ## Settings - **Source**: Price data source (default: close) - **Gamma 1**: Fast γ-EMA value (default: 0.2) - **Gamma 2**: Medium γ-EMA value (default: 0.5) - **Gamma 3**: Slow γ-EMA value (default: 0.8) ## Notes This indicator works best on higher timeframes (1H+) and liquid markets. The Gamma-weighted EMAs provide faster signals while the Fibonacci sequence EMAs provide reliable support/resistance levels that often align with key market turning points. For optimal use, watch for price interaction with these bands and how the bands interact with each other to confirm trend changes before they become obvious to the majority of market participants.
Indicatore Pine Script®
di ky_yule1010
Volume Cluster Support & ResistanceVolume Cluster Support & Resistance This indicator identifies potential Support and Resistance (S/R) levels on the chart using Volume-Based Point of Control (POC) Clustering. It offers extensive customization for calculation parameters, display styles, and visualization options, including S/R zones, color gradients, and historical reaction markers. How It Works Volume Based S/R: Scans the specified Clustering Lookback period for "High Volume Bars", defined as bars where volume exceeds the average volume (over Volume Lookback Period) multiplied by the High Volume Threshold Multiplier. Calculates the Point of Control (POC) for each high-volume bar using hl2. Clusters these high-volume bar POCs: POCs within a proximity defined by Cluster Proximity (ATR) (Average True Range multiplier) are grouped together. Filters these clusters, requiring a Min Bars in Cluster to form a valid S/R zone. (Image showing the indicator being used on the Bitcoin 5min chart) The center price of valid clusters determines the S/R level. Clusters above the current price become potential Resistance, and those below become potential Support. Calculates the offset based on the most recent bar included in the cluster. Level Selection & Display: The indicator identifies multiple potential S/R levels. It then selects and displays the top Number of S/R Levels to Display support levels below the current price and resistance levels above the current price. (Image showing the indicator on the GBP/USD 5min chart) ATR Usage: The Average True Range (ta.atr(14)) is used in two key areas: Determining the proximity threshold for grouping POCs in the 'Volume Based' clustering (clusterProximityAtr). Calculating the width of the S/R zones when 'Use Zone Visualization' is enabled (zoneAtrMultiplier). Key Features & Components Dual Calculation Methods: Choose between Pivot-based S/R or Volume-based POC clustering. Volume Confirmation: Pivots require volume confirmation; Volume method directly analyzes high-volume bars. POC Clustering: Groups high-volume areas to identify significant price zones. Configurable Lookbacks: Adjust periods for volume averaging, pivot detection, and clustering analysis. Dynamic S/R Display: Shows a configurable number of the most relevant S/R levels relative to the current price. Optional Zone Visualization: Display levels as filled zones with configurable width (ATR-based), fill transparency, and border transparency. Includes a dashed center line. Optional Historical Reactions: Mark past price interactions (lows bouncing off support zones, highs rejecting from resistance zones) directly on the chart (Warning: Can significantly impact performance). Customizable Styling: Control line style (Solid, Dashed, Dotted), width, color (separate for Support & Resistance), and horizontal extension (None, Left, Right, Both). Price Labels: Toggle visibility of price labels next to each S/R level/zone. Visual Elements Explained S/R Lines/Zones: Plotted lines or filled zones representing calculated support and resistance levels. Color-coded for Support (default green) and Resistance (default magenta). Line/Zone Borders: Appearance controlled by Style settings (Style, Width, Extension). Can have a gradient color effect based on age if enabled. Zone Fills: Semi-transparent fills for zones (if enabled), with configurable transparency. Fill color matches the border color (including gradient effect if enabled). Zone Center Line: A thin, dashed line indicating the exact calculated S/R price within a zone. Price Labels: Text labels showing the exact price of the S/R level. Historical Reactions: Small dot markers appearing on historical bars where price potentially reacted to a displayed zone (only if Show Historical Reactions is enabled). Configuration Options Users can adjust the following parameters in the indicator settings: Calculation Method: Select "Pivot Based" or "Volume Based". Volume Zone Settings (Volume Based): Threshold multiplier, clustering lookback, cluster proximity (ATR), minimum bars per cluster. Display Options: Toggle S/R visibility, price tags, set the number of levels to show. Volume Settings: Volume lookback period, volume multiplier (for Pivot confirmation). Style Settings: Line style, width, extension, support/resistance text and line colors, enable gradient coloring, set gradient start/end colors. Zone Visualization: Enable/disable zones, set zone width (ATR multiplier), fill and border transparency, enable/disable historical reaction markers (performance warning). Interpretation Notes This indicator identifies potential areas of support and resistance based on historical price action and volume analysis. These levels are not guaranteed reversal points. The 'Volume Based' method focuses on areas where significant trading activity occurred, while the 'Pivot Based' method focuses on price turning points confirmed by volume. Use the displayed levels in conjunction with other technical analysis tools, price action patterns, and risk management strategies. Be mindful of the performance impact when enabling Show Historical Reactions, especially on longer timeframes or with large lookback periods. The default setting is false for optimal performance. The max_bars_back setting is optimized for performance; increasing it significantly may slow down chart loading. Risk Disclaimer Trading involves significant risk. This indicator is provided for analytical and educational purposes only and does not constitute financial advice or a trading recommendation. Past performance is not indicative of future results. Always use sound risk management practices and never trade with capital you cannot afford to lose.
Indicatore Pine Script®
di sizzlinsoft
1
OA - PowerZones Support And ResistancePowerZones - Dynamic Support/Resistance Identifier Overview PowerZones is an advanced technical analysis tool that automatically detects significant support and resistance zones using volume data and pivot points. This indicator pulls data from higher timeframes (weekly by default) to help you identify strong and meaningful levels that are filtered from short-term "noise." Features Multi-Timeframe Analysis: Create support/resistance levels from daily, weekly, or monthly data Volume Filtering: Detect high-volume pivot points to identify more reliable levels Dynamic Threshold: Volume filter that automatically adjusts to market conditions Visual Clarity: Support/resistance zones are displayed as boxes with adjustable transparency Optimal Level Selection: Filter out close levels to focus on the most significant support/resistance points Use Cases Entry/Exit Points: Identify trading opportunities at important support and resistance levels Stop-Loss Placement: Use natural support levels to set more effective stop-losses Target Setting: Use potential resistance levels as profit-taking targets Understanding Market Structure: Detect long-term support/resistance zones to better interpret price movement Input Parameters Lookback Period: The period used to determine pivot points Box Width : Adjusts the width of support/resistance zones Relative Volume Period: The period used for relative volume calculation Maximum Number of Boxes: Maximum number of support/resistance zones to display on the chart Box Transparency: Transparency value for the boxes Timeframe: Timeframe to use for support/resistance detection (Daily, Weekly, Monthly) How It Works PowerZones identifies pivot highs and lows in the selected timeframe. It filters these points using volume data to show only meaningful and strong levels. The indicator also consolidates nearby levels, allowing you to focus only on the most important zones on the chart. Best Practices Weekly timeframe setting is ideal for identifying long-term important support/resistance levels Working with weekly levels on a daily chart allows you to combine long-term levels with short-term trades ATR-based box width creates support/resistance zones that adapt to market volatility Use the indicator along with other technical indicators such as RSI, MACD, or moving averages to confirm trading signals Note: Like all technical indicators, this indicator does not guarantee 100% accuracy. Always apply risk management principles and use it in conjunction with other analysis methods to achieve the best results. If you like the PowerZones indicator, please show your support by giving it a star and leaving a comment!
Indicatore Pine Script®
di onurag
6
SMC+The "SMC+" indicator is a comprehensive tool designed to overlay key Smart Money Concepts (SMC) levels, support/resistance zones, order blocks (OB), fair value gaps (FVG), and trap detection on your TradingView chart. It aims to assist traders in identifying potential areas of interest based on price action, swing structures, and volume dynamics across multiple timeframes. This indicator is fully customizable, allowing users to adjust lookback periods, colors, opacity, and sensitivity to suit their trading style. Key Components and Functionality 1. Key Levels (Support and Resistance) This section plots horizontal lines representing support and resistance levels based on highs and lows over three distinct lookback periods, plus daily nearest levels. Short-Term Lookback Period (Default: 20 bars) Plots the highest high (short_high) and lowest low (short_low) over the specified period. Visualized as dotted lines with customizable colors (Short-Term Resistance Color, Short-Term Support Color) and opacity (Short-Term Resistance Opacity, Short-Term Support Opacity). Adjustment Tip: Increase the lookback (e.g., to 30-50) for less frequent but stronger levels on higher timeframes, or decrease (e.g., to 10-15) for scalping on lower timeframes. Long-Term Lookback Period (Default: 50 bars) Plots broader support (long_low) and resistance (long_high) levels using a solid line style. Customizable via Long-Term Resistance Color, Long-Term Support Color, and their respective opacity settings. Adjustment Tip: Extend to 100-200 bars for swing trading or major trend analysis on daily/weekly charts. Extra-Long Lookback Period (Default: 100 bars) Identifies significant historical highs (extra_long_high) and lows (extra_long_low) with dashed lines. Configurable with Extra-Long Resistance Color, Extra-Long Support Color, and opacity settings. Adjustment Tip: Use 200-500 bars for monthly charts to capture macro-level key zones. Daily Nearest Resistance and Support Levels Dynamically calculates the nearest resistance (daily_res_level) and support (daily_sup_level) based on the current day’s price action relative to historical highs and lows. Displayed with Daily Resistance Color and Daily Support Color (with opacity options). Adjustment Tip: Works best on intraday charts (e.g., 15m, 1h) to track daily pivots; combine with volume profile for confirmation. How It Works: These levels update dynamically as new highs/lows form, providing a visual guide to potential reversal or breakout zones. 2. SMC Inputs (Smart Money Concepts) This section identifies swing structures, order blocks, fair value gaps, and entry signals based on SMC principles. SMC Swing Lookback Period (Default: 12 bars) Defines the period for detecting swing highs (smc_swing_high) and lows (smc_swing_low). Adjustment Tip: Increase to 20-30 for smoother swings on higher timeframes; reduce to 5-10 for faster signals on lower timeframes. Minimum Swing Size (%) (Default: 0.5%) Filters out minor price movements to focus on significant swings. Adjustment Tip: Raise to 1-2% for volatile markets (e.g., crypto) to avoid noise; lower to 0.2-0.3% for forex pairs with tight ranges. Order Block Sensitivity (Default: 1.0) Scales the size of detected order blocks (OBs) for bullish reversal (smc_ob_bull), bearish reversal (smc_ob_bear), and continuation (smc_cont_ob). Visuals include customizable colors, opacity, border thickness, and blinking effects (e.g., SMC Bullish Reversal OB Color, SMC Bearish Reversal OB Blink Thickness). Adjustment Tip: Increase to 1.5-2.0 for wider OBs in choppy markets; keep at 1.0 for precision in trending conditions. Minimum FVG Size (%) (Default: 0.3%) Sets the minimum gap size for Fair Value Gaps (fvg_high, fvg_low), displayed as boxes with Fair Value Gap Color and FVG Opacity. Adjustment Tip: Increase to 0.5-1% for larger, more reliable gaps; decrease to 0.1-0.2% for scalping smaller inefficiencies. How It Works: Bullish Reversal OB: Detects a bearish candle followed by a bullish break, marking a potential demand zone. Bearish Reversal OB: Identifies a bullish candle followed by a bearish break, marking a supply zone. Continuation OB: Spots strong bullish momentum after a prior high, indicating a continuation zone. FVG: Highlights bullish gaps where price may retrace to fill. Entry Signals: Plots triangles (SMC Long Entry) when price retests an OB with a liquidity sweep or break of structure (BOS). 3. Trap Inputs This section detects potential bull and bear traps based on price action, volume, and key level rejections. Min Down Move for Bear Trap (%) (Default: 1.0%) Sets the minimum drop required after a bearish OB to qualify as a trap. Visualized with Bear Trap Color, Bear Trap Opacity, and blinking borders. Adjustment Tip: Increase to 2-3% for stronger traps in trending markets; lower to 0.5% for ranging conditions. Min Up Move for Bull Trap (%) (Default: 1.0%) Sets the minimum rise required after a bullish OB to flag a trap. Customizable with Bull Trap Color, Bull Trap Border Thickness, etc. Adjustment Tip: Adjust similarly to bear traps based on market volatility. Volume Lookback for Traps (Default: 5 bars) Compares current volume to a moving average (avg_volume) to filter low-volume traps. Adjustment Tip: Increase to 10-20 for confirmation on higher timeframes; reduce to 3 for intraday sensitivity. How It Works: Bear Trap: Triggers when price drops significantly after a bearish OB but reverses up with low volume or support rejection. Bull Trap: Activates when price rises after a bullish OB but fails with low volume or resistance rejection. Boxes highlight trap zones, resetting when price breaks out. 4. Visual Customization Line Width (Default: 2) Adjusts thickness of support/resistance lines. Tip: Increase to 3-4 for visibility on cluttered charts. Blink On (Default: Close) Sets whether OB/FVG borders blink based on Open or Close price interaction. Tip: Use "Open" for intraday precision; "Close" for confirmed reactions. Colors and Opacity: Each element (OBs, FVGs, traps, key levels) has customizable colors, opacity (0-100), border thickness (1-5 or 1-7), and blink effects for dynamic visualization. How to Use SMC+ Setup: Apply the indicator to any chart and adjust inputs based on your timeframe and market. Key Levels: Watch for price reactions at short, long, extra-long, or daily levels for potential reversals or breakouts. SMC Signals: Look for entry signals (triangles) near OBs or FVGs, confirmed by liquidity sweeps or BOS. Traps: Avoid false breakouts by monitoring trap boxes, especially near key levels with low volume. Notes: This indicator is a visual aid and does not guarantee trading success. Combine it with other analysis tools and risk management strategies. Performance may vary across markets and timeframes; test settings thoroughly before use. For optimal results, experiment with lookback periods and sensitivity settings to match your trading style. The default settings are optimal for 1 minute and 10 second time frames for small cap low float stocks. Continuation OB are Blue. Bullish Reversal OB color is Green Bearish Reversal OB color is Red FVG color is purple Bear Trap OB is red with a green border and often appears with a Bearish Reversal OB signaling caution to a short position. Bull trap OB is green with a Red border signaling caution to a long position. All active OB area are highlighted and solid in color while other non active OB area are dimmed. My personal favorite setups are when we have an active bullish reversal with an active FVG along with an active Continuation OB. Another personal favorite is the Bearish reversal OB signaling an end to a recent uptrend. The Trap OB detection are also a unique and Original helpful source of information. The OB have a white boarder by default that are colored black giving a simulated blinking effect when price is acting in that zone. The Trap OB border are colored with respect to direction of intended trap, all of which can be customized to personal style. All vaild OB zones are shown compact in size ,a unique and original view until its no longer valid.
Indicatore Pine Script®
di kwsatterfield1