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ACCDv3# ACCDv3 - Accumulation/Distribution MACD with Divergence Detection ## Overview **ACCDv3** (Accumulation/Distribution MACD Version 3) is an advanced volume-weighted momentum indicator that combines the Accumulation/Distribution (A/D) line with MACD methodology and divergence detection. It helps identify trend strength, momentum shifts, and potential reversals by analyzing volume-weighted price movements. ## Key Features - **Volume-Weighted MACD**: Applies MACD calculation to volume-weighted A/D values for earlier, more reliable signals - **Divergence Detection**: Identifies when A/D trend diverges from MACD momentum - **Volume Strength Filtering**: Distinguishes high-volume confirmations from low-volume noise - **Color-Coded Histogram**: 4-color system showing momentum direction and volume strength - **Real-Time Alerts**: Background colors and alert conditions for bullish/bearish divergences ## Components ### 1. Accumulation/Distribution (A/D) Line The A/D line measures buying and selling pressure by comparing the close price to the trading range, weighted by volume: ``` A/D = Σ ((2 × Close - Low - High) / (High - Low)) × Volume ``` - **Rising A/D**: More accumulation (buying pressure) - **Falling A/D**: More distribution (selling pressure) - **Doji Handling**: When High = Low, contribution is zero (avoids division errors) ### 2. Volume-Weighted MACD Instead of simple EMAs, the indicator weights A/D values by volume: - **Fast Line** (default 12): `EMA(A/D × Volume, 12) / EMA(Volume, 12)` - **Slow Line** (default 26): `EMA(A/D × Volume, 26) / EMA(Volume, 26)` - **MACD Line**: Fast Line - Slow Line (green line) - **Signal Line** (default 9): EMA or SMA of MACD (orange line) - **Histogram**: MACD - Signal (color-coded columns) This volume-weighting ensures that periods with higher volume have greater influence on the indicator values. ### 3. Histogram Color System The histogram uses 4 distinct colors based on **direction** and **volume strength**: | Condition | Color | Meaning | |-----------|-------|---------| | Rising + High Volume | **Dark Green** (#1B5E20) | Strong bullish momentum with volume confirmation | | Rising + Low Volume | **Light Teal** (#26A69A) | Bullish momentum but weak volume (less reliable) | | Falling + High Volume | **Dark Red** (#B71C1C) | Strong bearish momentum with volume confirmation | | Falling + Low Volume | **Light Red/Pink** (#FFCDD2) | Bearish momentum but weak volume (less reliable) | Additional shading: - **Light Cyan** (#B2DFDB): Positive but not rising (momentum stalling) - **Bright Red** (#FF5252): Negative and accelerating down ### 4. Divergence Detection Divergence occurs when A/D trend and MACD momentum move in opposite directions: #### Bullish Divergence (Green Background) - **Condition**: A/D is trending up BUT MACD is negative and trending down - **Interpretation**: Accumulation increasing while momentum appears weak - **Signal**: Potential bullish reversal or continuation - **Action**: Look for entry opportunities or hold long positions #### Bearish Divergence (Red Background) - **Condition**: A/D is trending down BUT MACD is positive and trending up - **Interpretation**: Distribution increasing while momentum appears strong - **Signal**: Potential bearish reversal or weakening uptrend - **Action**: Consider exits, tighten stops, or prepare for reversal ## Parameters | Parameter | Default | Range | Description | |-----------|---------|-------|-------------| | **Fast Length** | 12 | 1-50 | Period for fast EMA (shorter = more sensitive) | | **Slow Length** | 26 | 1-100 | Period for slow EMA (longer = smoother) | | **Signal Smoothing** | 9 | 1-50 | Period for signal line (MACD smoothing) | | **Signal Line MA Type** | EMA | SMA/EMA | Moving average type for signal calculation | | **Volume MA Length** | 20 | 5-100 | Period for volume average (strength filter) | ## Usage Guide ### Reading the Indicator 1. **MACD Lines (Green & Orange)** - **Crossovers**: When green crosses above orange = bullish, below = bearish - **Distance**: Wider gap = stronger momentum - **Zero Line**: Above = bullish bias, below = bearish bias 2. **Histogram Colors** - Focus on **dark colors** (dark green/red) for high-confidence signals - Be cautious with **light colors** (teal/pink) - wait for volume confirmation - Watch for **rising red bars** (V-bottom pattern) = potential bullish reversal - Watch for **falling green bars** (Λ-top pattern) = potential bearish reversal 3. **Background Divergence Alerts** - **Green background**: Bullish divergence - consider long entries - **Red background**: Bearish divergence - consider exits or shorts - Best used in combination with price action and support/resistance levels ### Trading Strategies #### Trend Following 1. Wait for MACD to cross above zero line with dark green histogram 2. Enter long when histogram shows consecutive dark green bars 3. Exit when histogram turns light green or red appears #### Divergence Trading 1. Wait for background divergence alert (green or red) 2. Confirm with price action (support/resistance, candlestick patterns) 3. Enter on next dark-colored histogram bar in divergence direction 4. Set stops beyond recent swing high/low #### Volume Confirmation 1. Ignore signals during low-volume periods (light colors) 2. Take aggressive positions during high-volume confirmations (dark colors) 3. Use volume strength as position sizing guide (larger size on dark bars) ### Best Practices ✓ **Combine with price action**: Don't rely on indicator alone ✓ **Wait for dark colors**: High-volume bars are more reliable ✓ **Watch for divergences**: Early warning signs of reversals ✓ **Use multiple timeframes**: Confirm signals across 1m, 5m, 15m ✓ **Respect zero line**: Trading direction should align with MACD side ✗ **Don't chase light-colored signals**: Low volume = lower reliability ✗ **Don't ignore context**: Market structure and levels matter ✗ **Don't over-trade**: Wait for clear, high-volume setups ✗ **Don't ignore alerts**: Divergences are early warnings ## Technical Details ### Volume-Weighted Calculation Method Traditional MACD uses simple price EMAs. ACCDv3 weights each A/D value by its corresponding volume: ```pine // Volume-weighted fast EMA close_vol_fast = ta.ema(ad × volume, fast_length) vol_fast = ta.ema(volume, fast_length) vw_ad_fast = close_vol_fast / vol_fast // Same for slow EMA close_vol_slow = ta.ema(ad × volume, slow_length) vol_slow = ta.ema(volume, slow_length) vw_ad_slow = close_vol_slow / vol_slow // MACD is the difference macd = vw_ad_fast - vw_ad_slow ``` This ensures high-volume periods have proportionally more impact on the indicator. ### Volume Strength Filter Determines whether current volume is above or below average: ```pine vol_avg = ta.sma(volume, vol_length) vol_strength = volume > vol_avg ``` Used to select dark (high volume) vs light (low volume) histogram colors. ### Divergence Logic ```pine // A/D trending up if above its 5-period SMA ad_trend = ad > ta.sma(ad, 5) // MACD trending up if above zero macd_trend = macd > 0 // Divergence when trends oppose divergence = ad_trend != macd_trend // Specific conditions bullish_divergence = ad_trend and not macd_trend and macd < 0 bearish_divergence = not ad_trend and macd_trend and macd > 0 ``` ## Alerts The indicator includes built-in alert conditions: - **Bullish Divergence**: "Bullish Divergence: A/D trending up but MACD trending down" - **Bearish Divergence**: "Bearish Divergence: A/D trending down but MACD trending up" To enable: 1. Click "Create Alert" button in TradingView 2. Select "ACCDv3" as condition 3. Choose "Bullish Divergence" or "Bearish Divergence" 4. Configure notification method (popup, email, webhook, etc.) ## Comparison with Standard MACD | Feature | Standard MACD | ACCDv3 | |---------|---------------|---------| | **Input** | Close price | Accumulation/Distribution line | | **Weighting** | Simple EMA | Volume-weighted EMA | | **Divergence** | Price vs MACD | A/D vs MACD | | **Volume Analysis** | None | Built-in strength filter | | **Color System** | 2 colors (up/down) | 4+ colors (direction + volume) | | **Leading/Lagging** | Lagging | More leading (volume-weighted) | ## Example Scenarios ### Scenario 1: Strong Bullish Signal - **Chart**: MACD crosses above zero line - **Histogram**: Dark green bars (#1B5E20) appearing - **Volume**: Above 20-period average - **Action**: Enter long, strong momentum with volume confirmation ### Scenario 2: Weak Bearish Signal - **Chart**: MACD crosses below zero line - **Histogram**: Light pink bars (#FFCDD2) appearing - **Volume**: Below 20-period average - **Action**: Avoid shorting, low volume = unreliable signal ### Scenario 3: Bullish Divergence Reversal - **Chart**: Price making lower lows - **Indicator**: A/D line trending up, MACD negative - **Background**: Green shading appears - **Histogram**: Transitions from red to dark green - **Action**: Look for long entry on next dark green bar ### Scenario 4: V-Bottom Reversal - **Chart**: Downtrend in place - **Histogram**: Red bars start rising (becoming less negative) - **Pattern**: Forms "V" shape at bottom - **Confirmation**: Transitions to dark green bars - **Action**: Bullish reversal signal, consider long entry ## Timeframe Recommendations - **1-minute**: Scalping, very fast signals (noisy, use with caution) - **5-minute**: Intraday momentum trading (recommended) - **15-minute**: Swing entries, clearer trend signals - **1-hour+**: Position trading, major trend identification ## Limitations - **Requires volume data**: Will not work on instruments without volume - **Lag during consolidation**: MACD is inherently trend-following - **False signals in chop**: Sideways markets generate noise - **Not a standalone system**: Should be combined with price action and risk management ## Version History - **v3**: Removed traditional price MACD, using only volume-weighted A/D MACD with A/D divergence - **v2**: Added A/D divergence detection, volume strength filtering, enhanced histogram colors - **v1**: Basic MACD on A/D line with volume-weighted calculation ## Support & Further Reading For questions, updates, or to report issues, refer to the main project documentation or contact the developer. **Related Indicators in Suite:** - **VMACDv3**: Volume-weighted MACD on price (not A/D) - **RSIv2**: RSI with A/D divergence - **DMI**: Directional Movement Index with A/D divergence - **Elder Impulse**: Bar coloring system using volume-weighted MACD --- *This indicator is for educational purposes. Always practice proper risk management and never risk more than you can afford to lose.*
Pine Script® Indikator
von srinarayanant
6-9 session & levels6-9 Session & Levels - Customizable Range Analysis Indicator Description: This indicator provides comprehensive session-based range analysis designed for intraday traders. It calculates and displays key levels based on a customizable session period (default 6:00-9:00 AM ET). Core Features: Session Tracking Monitors user-defined session times with timezone support Displays session open, high, and low levels Highlights session range with optional box visualization Shows previous day RTH (Regular Trading Hours: 9:30 AM - 4:00 PM) levels Range Levels 25%, 50%, and 75% range levels within the session Range deviations at 0.5x, 1.0x, and 2.0x multiples Fibonacci extension levels (customizable, default 1.33x and 1.66x) Optional fill zones between Fibonacci levels Time Zone Highlighting Marks the 9:40-9:50 AM period as a potential reversal zone Vertical lines with shading to identify key time windows Statistical Analysis Calculates mean and median extension levels based on historical sessions Displays statistics table showing current range, average range, range difference, and z-score Customizable sample size (1-100 sessions) for statistical calculations Option to anchor extensions from either session open or high/low points Input Settings Explained: Session Settings Levels Session Time: Define your session window in HHMM-HHMM format (default: 0600-0900) Time Zone: Choose from UTC, America/New_York, America/Chicago, America/Los_Angeles, Europe/London, or Asia/Tokyo Anchor Settings Show Session Anchor: Toggle the session anchor line (marks session open price at 6:00 AM) Anchor Style/Color/Width: Customize appearance (Solid/Dashed/Dotted, color, 1-4 width) Show Anchor Label: Display price label for the anchor Session Open Line: Similar options for the session open reference line Range Box Settings Show Range Box: Display a shaded rectangle highlighting the session high-to-low range Range Box Color: Set the box background color and transparency Range Levels (25%/50%/75%) Show Range Levels: Toggle all three intermediate levels on/off Individual Level Styling: Each level (25%, 50%, 75%) has its own color, style, and width settings Show Range Level Labels: Display price labels for each level Range Deviations Show Range Deviations: Toggle deviation levels on/off 0.5x/1.0x/2.0x Settings: Each deviation multiplier can be customized with its own color, line style (Solid/Dashed/Dotted), and width Show Range Deviation Labels: Display labels showing the deviation price levels Previous Day RTH Levels Show Previous RTH Levels: Display yesterday's regular trading hours high and low RTH High/Low Styling: Separate color, style, and width settings for each level Show Previous RTH Labels: Toggle price labels for RTH levels Time Zones Show 9:40-9:50 AM Zone: Highlight this specific time period with vertical lines and shading Zone Color: Set the background fill color for the time zone Zone Label Color/Text: Customize the label appearance and text Fibonacci Extension Settings Show Fibonacci Extensions: Toggle Fib levels on/off Fib Extension Color/Style/Width: Customize line appearance Show Fib Extension Labels: Display price labels Fib Ext Level 1/2: Set custom multipliers (default 1.33 and 1.66, range 0-5 in 0.1 increments) Show Fibonacci Fills: Display shaded zones between Fib levels Fib Fill Color: Customize the fill color and transparency Session High/Low Settings Show Session High/Low Lines: Display the actual session extremes Style/Color/Width: Customize line appearance Show Labels: Toggle price labels for high/low levels Extension Stats Settings Show Statistical Levels on Chart: Display mean and median extension levels based on historical data Extension Anchor Point: Choose whether to anchor from "Open" or "High/Low" of the session Number of Sessions for Statistics: Set sample size (1-100, default 60) for calculating averages Mean/Median High Extension: Separate styling for each statistical level (color, style, width) Mean/Median Low Extension: Separate styling for downside statistical levels Tables Show Statistics Table: Display a summary table with current range, average range, difference, z-score, and sample size Table Position: Choose from 9 positions (Bottom/Middle/Top + Center/Left/Right) Table Text Size: Select from Auto, Tiny, Small, Normal, Large, or Huge Display Settings Projection Offset: Number of bars to extend lines forward (default 24) Label Size: Choose from Tiny, Small, Normal, or Large Price Decimal Precision: Set decimal places for price labels (0-6) How It Works: The indicator tracks the specified session period and calculates the session's open, high, low, and range. At the end of the session (9:00 AM by default), it projects all configured levels forward for the trading day. The statistical features analyze the last N sessions (you choose the number) to calculate typical extension behavior from either the session open or the session high/low points. The z-score calculation helps identify whether the current session's range is normal, expanded, or contracted compared to recent history, allowing traders to adjust expectations for the rest of the day. Use Case: This indicator helps traders identify key support and resistance levels based on early session price action, understand current range context relative to historical averages, and spot potential reversal zones during specific time periods. Note: This indicator is for informational purposes only and does not constitute investment advice. Always perform your own analysis before making trading decisions.
Pine Script® Indikator
von lucymatos
One for AllOne for All (OFA) - Complete ICT Analysis Suite Version 3.3.0 by theCodeman 📊 Overview One for All (OFA) is a comprehensive TradingView indicator designed for traders who follow Inner Circle Trader (ICT) concepts. This all-in-one tool combines essential ICT analysis features—sessions, kill zones, previous period levels, and higher timeframe candles with Fair Value Gaps (FVGs) and Volume Imbalances (VIs)—into a single, highly customizable indicator. Whether you're a beginner learning ICT concepts or an experienced trader refining your edge, OFA provides the visual structure needed for precise market analysis and execution. ✨ Key Features - 🏷️ Customizable Watermark**: Display your trading identity with customizable titles, subtitles, symbol info, and full style control - 🌍 Trading Sessions**: Visualize Asian, London, and New York sessions with high/low lines, range boxes, and open/close markers - 🎯 Kill Zones**: Highlight 5 critical ICT kill zones with precise timing and visual boxes - 📈 Previous Period H/L**: Track Daily, Weekly, and Monthly highs/lows with customizable styles and lookback periods - 🕐 Higher Timeframe Candles**: Display up to 5 HTF timeframes with OHLC trace lines, timers, and interval labels - 🔍 FVG & VI Detection**: Automatically detect and visualize Fair Value Gaps and Volume Imbalances on HTF candles - ⚙️ Universal Timezone Support**: Works globally with GMT-12 to GMT+14 timezone selection - 🎨 Full Customization**: Control colors, styles, visibility, and layout for every feature 🚀 How to Use Watermark Setup The watermark overlay helps you identify your charts and maintain focus on your trading principles: 1. Enable/disable watermark via "Show Watermark" toggle 2. Customize the title (default: "Name") to display your trading name or account identifier 3. Set up to 3 subtitles (default: "Patience", "Confidence", "Execution") as trading reminders 4. Choose position (9 locations available), size, color, and transparency 5. Toggle symbol and timeframe display as needed Use Case: Display your trading principles or account name for multi-monitor setups or content creation. Trading Sessions Analysis Sessions define market character and liquidity availability: 1. Enable "Show All Sessions" to visualize all three sessions 2. Adjust timezone to match your local market (default: UTC-5 for EST) 3. Customize session times if needed (defaults cover standard hours) 4. Enable session range boxes to see consolidation zones 5. Use session high/low lines to identify key levels for the current session 6. Enable open/close markers to track session transitions Use Case: Identify which session you're trading in, track session highs/lows for liquidity, and anticipate session transition volatility. Kill Zones Trading Kill zones are ICT's high-probability trading windows: 1. Enable individual kill zones or use "Show All Kill Zones" 2. **Asian Kill Zone** (2000-0000 GMT): Early positioning and smart money accumulation 3. **London Kill Zone** (0300-0500 GMT): European market opening volatility 4. **NY AM Kill Zone** (0930-1100 EST): Post-NYSE open expansion 5. **NY Lunch Kill Zone** (1200-1300 EST): Midday consolidation or manipulation 6. **NY PM Kill Zone** (1330-1600 EST): Afternoon positioning and closes 7. Customize colors and times to match your trading style 8. Set max days display to control historical visibility (default: 30 days) Use Case: Focus entries during high-probability windows. Watch for liquidity sweeps at kill zone openings and institutional positioning. Previous Period High/Low Levels Previous period levels act as magnetic price targets and support/resistance: 1. Enable Daily (PDH/PDL), Weekly (PWH/PWL), or Monthly (PMH/PML) levels individually 2. Set lookback period (how many previous periods to display) 3. Choose line style: Solid (current emphasis), Dashed (standard), or Dotted (subtle) 4. Customize colors per timeframe for visual hierarchy 5. Adjust line width (1-5) for visibility preference 6. Enable gradient effect to fade older periods 7. Position labels left or right based on chart layout 8. Customize label text for your preferred notation Use Case: Identify key levels where price is likely to react. Daily levels work on intraday timeframes, Weekly on daily charts, Monthly for swing trading. Higher Timeframe (HTF) Candles HTF candles reveal the larger market context while trading lower timeframes: 1. Enable up to 5 HTF slots simultaneously (default: 5m, 15m, 1H, 4H, Daily) 2. Choose display mode: "Below Chart" (stacked rows) or "Right Side" (compact column) 3. Customize timeframe, colors (bull/bear), and titles for each slot 4. **OHLC Trace Lines**: Visual lines connecting HTF candle levels to chart bars 5. **HTF Timer**: Countdown showing time remaining until HTF candle close 6. **Interval Labels**: Display day of week (Daily+) or time (intraday) on each candle 7. For Daily candles: Choose open time (Midnight, 8:30, 9:30) to match your market structure preference Use Case: Trade lower timeframes while respecting higher timeframe structure. Watch for HTF candle closes to confirm directional bias. FVG & VI Detection Fair Value Gaps and Volume Imbalances highlight inefficiencies that price often revisits: 1. **Fair Value Gaps (FVGs)**: Detected when HTF candle wicks don't overlap between 3 consecutive candles - Bullish FVG: Gap between candle 1 high and candle 3 low (green box by default) - Bearish FVG: Gap between candle 1 low and candle 3 high (red box by default) 2. **Volume Imbalances (VIs)**: Similar detection but focuses on body gaps - Bullish VI: Gap between candle 1 close and candle 3 open - Bearish VI: Gap between candle 1 open and candle 3 close 3. Enable FVG/VI detection per HTF slot individually 4. Customize colors and transparency for each imbalance type 5. Boxes appear on chart at formation and remain visible as retracement targets **Use Case**: Identify high-probability retracement zones. Price often returns to fill FVGs and VIs before continuing the trend. Use as entry zones or profit targets. 🎨 Customization OFA is built for flexibility. Every feature includes extensive customization options: Visual Customization - **Colors**: Independent color control for every element (sessions, kill zones, lines, labels, FVGs, VIs) - **Transparency**: Adjust box and label transparency (0-100%) for clean charts - **Line Styles**: Choose Solid, Dashed, or Dotted for previous period lines - **Sizes**: Control text size, line width, and box borders - **Positions**: Place watermark in 9 positions, labels left/right Layout Control - **HTF Display Mode**: "Below Chart" for detailed analysis, "Right Side" for space efficiency - **Drawing Limits**: Set max days for sessions/kill zones to manage chart clutter - **Lookback Periods**: Control how many previous periods to display (1-10) - **Gradient Effects**: Enable fading for older previous period lines Timing Adjustments - **Timezone**: Universal GMT offset selector (-12 to +14) for global markets - **Session Times**: Customize each session's start/end times - **Kill Zone Times**: Adjust kill zone windows to match your market's characteristics - **Daily Open**: Choose Midnight, 8:30, or 9:30 for Daily HTF candle open time 💡 Best Practices 1. Start Simple: Enable one feature at a time to learn how each element affects your analysis 2. Match Your Timeframe: Use Daily levels on intraday charts, Weekly on daily charts, HTF candles one or two levels above your trading timeframe 3. Kill Zone Focus: Concentrate your trading activity during kill zones for higher probability setups 4. HTF Confirmation: Wait for HTF candle closes before committing to directional bias 5. FVG/VI Entries: Look for price to return to unfilled FVGs/VIs for entry opportunities with favorable risk/reward 6. Customize Colors: Use a consistent color scheme that matches your chart theme and reduces visual fatigue 7. Reduce Clutter: Disable features you're not actively using in your current trading plan 8. Session Context: Understand which session controls the market—trade with session direction or anticipate reversals at session transitions ⚙️ Settings Guide OFA organizes settings into logical groups for easy navigation: - **═══ WATERMARK ═══**: Title, subtitles, position, style, symbol/timeframe display - **═══ SESSIONS ═══**: Enable/disable sessions, times, colors, high/low lines, boxes, markers - **═══ KILL ZONES ═══**: Individual kill zone toggles, times, colors, max days display - **═══ PREVIOUS H/L - DAILY ═══**: Daily high/low lines, style, color, lookback, labels - **═══ PREVIOUS H/L - WEEKLY ═══**: Weekly high/low lines, style, color, lookback, labels - **═══ PREVIOUS H/L - MONTHLY ═══**: Monthly high/low lines, style, color, lookback, labels - **═══ HTF CANDLES ═══**: Global display mode, layout settings - **═══ HTF SLOT 1-5 ═══**: Individual HTF configuration (timeframe, colors, title, FVG/VI detection, trace lines, timer, interval labels) Each setting includes tooltips explaining its function. Hover over any input for detailed guidance. 📝 Final Notes One for All (OFA) represents a complete ICT analysis toolkit in a single indicator. By combining watermark customization, session visualization, kill zone highlighting, previous period levels, and higher timeframe candles with FVG/VI detection, OFA eliminates the need for multiple indicators cluttering your chart. **Version**: 3.3.0 **Author**: theCodeman **Pine Script**: v6 **License**: Mozilla Public License 2.0 Start with default settings to learn the indicator's structure, then customize extensively to match your personal trading style. Remember: tools provide information, but your edge comes from disciplined execution of a proven strategy. Happy Trading! 📈
Pine Script® Indikator
von Arslan_cs
Scout Regiment - OBV# Scout Regiment - OBV Indicator ## English Documentation ### Overview Scout Regiment - OBV (On-Balance Volume) is an advanced momentum indicator that combines volume and price movement to identify the strength of buying and selling pressure. This indicator features an oscillator-based approach with divergence detection to help traders spot potential trend reversals and confirm price movements. ### What is OBV? On-Balance Volume (OBV) is a cumulative volume indicator that adds volume on up days and subtracts volume on down days: - **Rising OBV**: Accumulation (buying pressure) - **Falling OBV**: Distribution (selling pressure) - **OBV Oscillator**: The difference between OBV and its smoothed moving average, making divergences easier to spot ### Key Features #### 1. **OBV Oscillator Display** Instead of displaying raw OBV values, this indicator shows the oscillator (difference between OBV and its smoothed line): **Benefits:** - Easier to identify divergences - Clearer trend changes - More sensitive to momentum shifts - Zero line as reference point **Visual Elements:** - **Step Line**: Main OBV oscillator line - Green: Positive oscillator (accumulation) - Red: Negative oscillator (distribution) - **Histogram**: Visual representation of oscillator strength - Green bars: Above zero line - Red bars: Below zero line - **Zero Line**: White dotted horizontal line as reference #### 2. **Smoothing Options** Choose from multiple moving average types to smooth the OBV: - **None**: Raw OBV (most sensitive) - **SMA**: Simple Moving Average (equal weight) - **EMA**: Exponential Moving Average (recent price emphasis) - Default - **SMMA (RMA)**: Smoothed Moving Average (very smooth) - **WMA**: Weighted Moving Average (linear weight) - **VWMA**: Volume Weighted Moving Average (volume emphasis) **Default Settings:** - Type: EMA - Length: 21 periods - Best for: Most market conditions #### 3. **Multi-Timeframe Analysis** - Calculate OBV on any timeframe - View higher timeframe momentum on lower timeframe charts - Align trades with larger timeframe volume trends - Empty field = Current chart timeframe #### 4. **Visual Enhancements** **Background Color** - Light green: Positive oscillator (bullish volume pressure) - Light red: Negative oscillator (bearish volume pressure) - Optional display for cleaner charts **Crossover Labels** - "突破" (Breakout): When oscillator crosses above zero - "跌破" (Breakdown): When oscillator crosses below zero - Indicates potential trend changes - Can be toggled on/off #### 5. **Comprehensive Divergence Detection** The indicator automatically detects four types of divergences: **Regular Bullish Divergence (Yellow)** - **Price**: Makes lower lows - **OBV**: Makes higher lows - **Signal**: Potential upward reversal - **Label**: "看涨" (Bullish) - **Use**: Enter long positions **Regular Bearish Divergence (Blue)** - **Price**: Makes higher highs - **OBV**: Makes lower highs - **Signal**: Potential downward reversal - **Label**: "看跌" (Bearish) - **Use**: Enter short positions or exit longs **Hidden Bullish Divergence (Light Yellow)** - **Price**: Makes higher lows - **OBV**: Makes lower lows - **Signal**: Trend continuation (uptrend) - **Label**: "隐藏看涨" (Hidden Bullish) - **Use**: Add to long positions **Hidden Bearish Divergence (Light Blue)** - **Price**: Makes lower highs - **OBV**: Makes higher highs - **Signal**: Trend continuation (downtrend) - **Label**: "隐藏看跌" (Hidden Bearish) - **Use**: Add to short positions #### 6. **Customizable Divergence Detection** **Pivot Lookback Settings:** - **Left Lookback**: Bars to the left of pivot (default: 5) - **Right Lookback**: Bars to the right of pivot (default: 5) - Determines how "extreme" a point must be to qualify as a pivot **Range Settings:** - **Maximum Range**: Maximum bars between pivots (default: 60) - **Minimum Range**: Minimum bars between pivots (default: 5) - Filters out too-close or too-distant divergences **Display Options:** - Toggle regular divergences on/off - Toggle hidden divergences on/off - Toggle divergence labels on/off - Show only the divergences you need ### Configuration Settings #### Smoothing Settings - **Smoothing Type**: Choose MA type (None/SMA/EMA/SMMA/WMA/VWMA) - **Smoothing Length**: Number of periods for smoothing (default: 21) #### Calculation Settings - **Timeframe**: Select calculation timeframe (empty = current chart) #### Display Settings - **Show OBV Line**: Toggle step line display - **Show OBV Histogram**: Toggle histogram display - **Show Background Color**: Toggle background coloring - **Show Crossover Labels**: Toggle breakout/breakdown labels #### Divergence Settings - **Pivot Right Lookback**: Right bars for pivot detection (default: 5) - **Pivot Left Lookback**: Left bars for pivot detection (default: 5) - **Range Maximum**: Max bars between divergences (default: 60) - **Range Minimum**: Min bars between divergences (default: 5) - **Show Regular Divergences**: Enable/disable regular divergences - **Show Regular Labels**: Enable/disable regular divergence labels - **Show Hidden Divergences**: Enable/disable hidden divergences - **Show Hidden Labels**: Enable/disable hidden divergence labels ### How to Use #### For Trend Confirmation 1. **Identify Trend with Price** - Uptrend: Higher highs and higher lows - Downtrend: Lower highs and lower lows 2. **Confirm with OBV Oscillator** - Strong uptrend: OBV oscillator staying positive - Strong downtrend: OBV oscillator staying negative - Weak trend: OBV oscillator frequently crossing zero 3. **Volume Confirmation** - Trend with increasing OBV = Strong trend - Trend with decreasing OBV = Weak trend (watch for reversal) #### For Divergence Trading 1. **Enable Divergence Detection** - Start with regular divergences only - Add hidden divergences for trend continuation 2. **Wait for Divergence Signal** - Yellow label = Potential bullish reversal - Blue label = Potential bearish reversal 3. **Confirm with Price Action** - Wait for support/resistance break - Look for candlestick confirmation - Check higher timeframe alignment 4. **Enter Trade** - Enter after confirmation - Set stop loss beyond recent swing - Target based on previous swing or support/resistance #### For Breakout Trading 1. **Enable Crossover Labels** - Identify when oscillator crosses zero line 2. **Confirm Volume Strength** - Strong breakouts have large oscillator moves - Weak breakouts barely cross zero 3. **Trade Direction** - "突破" label = Enter long - "跌破" label = Enter short 4. **Manage Position** - Exit when oscillator crosses back - Use price structure for stops #### For Multi-Timeframe Analysis 1. **Set Higher Timeframe** - Example: On 15min chart, set timeframe to 1H or 4H 2. **Identify Higher Timeframe Trend** - Positive oscillator = Uptrend bias - Negative oscillator = Downtrend bias 3. **Trade with the Trend** - Only take long signals in uptrend - Only take short signals in downtrend 4. **Time Entries** - Use current timeframe for precise entry - Confirm with higher timeframe direction ### Trading Strategies #### Strategy 1: Regular Divergence Reversal **Setup:** 1. Price in strong trend (up or down) 2. Regular divergence appears 3. Price reaches support/resistance level **Entry:** - Bullish: After "看涨" label, when price breaks above recent high - Bearish: After "看跌" label, when price breaks below recent low **Stop Loss:** - Bullish: Below divergence low - Bearish: Above divergence high **Exit:** - Take profit at next major support/resistance - Or when opposite divergence appears **Best For:** Swing trading, reversal trading #### Strategy 2: Hidden Divergence Continuation **Setup:** 1. Clear trend established 2. Price pulls back (retracement) 3. Hidden divergence appears **Entry:** - Bullish: After "隐藏看涨" label, when price resumes uptrend - Bearish: After "隐藏看跌" label, when price resumes downtrend **Stop Loss:** - Behind the pullback swing point **Exit:** - Trail stop as trend continues - Exit on regular divergence (reversal signal) **Best For:** Trend following, adding to positions #### Strategy 3: Zero Line Crossover **Setup:** 1. Enable crossover labels 2. Oscillator crosses zero line 3. Confirm with price structure break **Entry:** - "突破" label = Buy signal - "跌破" label = Sell signal **Stop Loss:** - Below/above recent swing **Exit:** - When oscillator crosses back over zero - Or at predetermined target **Best For:** Momentum trading, quick trades #### Strategy 4: Multi-Timeframe Confluence **Setup:** 1. Set indicator to higher timeframe (e.g., 4H on 1H chart) 2. Wait for higher TF oscillator to be positive (uptrend) or negative (downtrend) 3. Look for entries on current timeframe aligned with higher TF **Entry:** - Long: When both timeframes show positive oscillator or bullish divergence - Short: When both timeframes show negative oscillator or bearish divergence **Stop Loss:** - Based on current timeframe structure **Exit:** - When higher timeframe oscillator turns negative (for longs) or positive (for shorts) **Best For:** Swing trading, high-probability setups ### Best Practices #### Volume Analysis 1. **Strong Moves Need Volume** - Price increase + Rising OBV = Healthy uptrend - Price increase + Falling OBV = Weak uptrend (warning) 2. **Watch for Confirmation** - New highs with new OBV highs = Confirmed - New highs without new OBV highs = Potential divergence 3. **Consider Context** - Low volume periods (Asian session, holidays) = Less reliable - High volume periods (News, London/NY overlap) = More reliable #### Divergence Trading Tips 1. **Not All Divergences Work** - Wait for price confirmation - Stronger in oversold/overbought areas - Better at support/resistance levels 2. **Multiple Divergences** - Multiple divergences on same trend = Stronger signal - Quick divergence failures = Ignore and wait for next 3. **Timeframe Matters** - Higher timeframe divergences = More reliable - Lower timeframe divergences = More frequent, less reliable #### Smoothing Selection 1. **No Smoothing (None)** - Most sensitive, more signals - More noise, more false signals - Best for: Scalping, very active trading 2. **EMA (Default)** - Balanced approach - Good for most strategies - Best for: Swing trading, day trading 3. **SMMA (RMA)** - Very smooth, fewer signals - Less responsive to sudden changes - Best for: Position trading, longer timeframes ### Indicator Combinations **With Moving Averages:** - Use EMAs for trend direction - OBV for volume confirmation - Enter when both align **With RSI:** - RSI for overbought/oversold - OBV for volume confirmation - Divergences on both = Stronger signal **With Price Action:** - Support/resistance for levels - OBV for strength confirmation - Breakouts with positive OBV = More likely to succeed **With Bias Indicator:** - Bias for price deviation - OBV for volume confirmation - Both showing divergence = High probability reversal ### Common Patterns 1. **Accumulation**: OBV rising while price consolidates (breakout likely) 2. **Distribution**: OBV falling while price consolidates (breakdown likely) 3. **Confirmation**: OBV and price both making new highs/lows (trend strong) 4. **Divergence**: OBV and price moving opposite directions (reversal warning) 5. **False Breakout**: Price breaks but OBV doesn't confirm (likely to fail) ### Performance Tips - Disable unused display features for faster loading - Start with regular divergences only, add hidden later - Use histogram for quick visual reference - Enable crossover labels for clear entry signals - Test different smoothing lengths for your market ### Alert Conditions The indicator includes alerts for: - Regular bullish divergence detected - Regular bearish divergence detected - Hidden bullish divergence detected - Hidden bearish divergence detected **How to Set Alerts:** 1. Click on the indicator name 2. Select "Add Alert" 3. Choose condition 4. Configure notification method --- ## 中文说明文档 ### 概述 Scout Regiment - OBV（能量潮）是一个高级动量指标，结合成交量和价格变动来识别买卖压力的强度。该指标采用振荡器方法并具有背离检测功能，帮助交易者发现潜在的趋势反转并确认价格走势。 ### 什么是OBV？ 能量潮（OBV）是一个累积成交量指标，在上涨日累加成交量，在下跌日减去成交量： - **上升的OBV**：积累（买入压力） - **下降的OBV**：派发（卖出压力） - **OBV振荡器**：OBV与其平滑移动平均线之间的差值，使背离更容易识别 ### 核心功能 #### 1. **OBV振荡器显示** 该指标不显示原始OBV值，而是显示振荡器（OBV与其平滑线之间的差值）： **优势：** - 更容易识别背离 - 趋势变化更清晰 - 对动量变化更敏感 - 零线作为参考点 **视觉元素：** - **阶梯线**：主OBV振荡器线 - 绿色：正振荡器（积累） - 红色：负振荡器（派发） - **柱状图**：振荡器强度的可视化表示 - 绿色柱：零线以上 - 红色柱：零线以下 - **零线**：白色虚线作为参考 #### 2. **平滑选项** 选择多种移动平均类型来平滑OBV： - **None**：原始OBV（最敏感） - **SMA**：简单移动平均（等权重） - **EMA**：指数移动平均（强调近期价格）- 默认 - **SMMA (RMA)**：平滑移动平均（非常平滑） - **WMA**：加权移动平均（线性权重） - **VWMA**：成交量加权移动平均（强调成交量） **默认设置：** - 类型：EMA - 长度：21周期 - 适合：大多数市场状况 #### 3. **多时间框架分析** - 在任何时间框架上计算OBV - 在低时间框架图表上查看高时间框架动量 - 使交易与更大时间框架的成交量趋势保持一致 - 空字段 = 当前图表时间框架 #### 4. **视觉增强** **背景颜色** - 浅绿色：正振荡器（看涨成交量压力） - 浅红色：负振荡器（看跌成交量压力） - 可选显示，图表更清爽 **穿越标签** - "突破"：振荡器向上穿越零线 - "跌破"：振荡器向下穿越零线 - 指示潜在趋势变化 - 可开关 #### 5. **全面的背离检测** 指标自动检测四种类型的背离： **常规看涨背离（黄色）** - **价格**：创新低 - **OBV**：创更高的低点 - **信号**：潜在向上反转 - **标签**："看涨" - **用途**：进入多头仓位 **常规看跌背离（蓝色）** - **价格**：创新高 - **OBV**：创更低的高点 - **信号**：潜在向下反转 - **标签**："看跌" - **用途**：进入空头仓位或退出多头 **隐藏看涨背离（浅黄色）** - **价格**：创更高的低点 - **OBV**：创更低的低点 - **信号**：趋势延续（上升趋势） - **标签**："隐藏看涨" - **用途**：加仓多头 **隐藏看跌背离（浅蓝色）** - **价格**：创更低的高点 - **OBV**：创更高的高点 - **信号**：趋势延续（下降趋势） - **标签**："隐藏看跌" - **用途**：加仓空头 #### 6. **可自定义的背离检测** **枢轴回溯设置：** - **左侧回溯**：枢轴点左侧K线数（默认：5） - **右侧回溯**：枢轴点右侧K线数（默认：5） - 决定一个点要多"极端"才能成为枢轴点 **范围设置：** - **最大范围**：枢轴点之间最大K线数（默认：60） - **最小范围**：枢轴点之间最小K线数（默认：5） - 过滤太近或太远的背离 **显示选项：** - 开关常规背离 - 开关隐藏背离 - 开关背离标签 - 只显示需要的背离 ### 配置设置 #### 平滑设置 - **平滑类型**：选择MA类型（None/SMA/EMA/SMMA/WMA/VWMA） - **平滑长度**：平滑周期数（默认：21） #### 计算设置 - **时间周期**：选择计算时间框架（空 = 当前图表） #### 显示设置 - **显示OBV点线**：切换阶梯线显示 - **显示OBV柱状图**：切换柱状图显示 - **显示背景颜色**：切换背景着色 - **显示突破标签**：切换突破/跌破标签 #### 背离设置 - **枢轴右侧回溯**：枢轴检测右侧K线数（默认：5） - **枢轴左侧回溯**：枢轴检测左侧K线数（默认：5） - **回看范围最大值**：背离之间最大K线数（默认：60） - **回看范围最小值**：背离之间最小K线数（默认：5） - **显示常规背离**：启用/禁用常规背离 - **显示常规背离标签**：启用/禁用常规背离标签 - **显示隐藏背离**：启用/禁用隐藏背离 - **显示隐藏背离标签**：启用/禁用隐藏背离标签 ### 使用方法 #### 趋势确认 1. **用价格识别趋势** - 上升趋势：更高的高点和更高的低点 - 下降趋势：更低的高点和更低的低点 2. **用OBV振荡器确认** - 强劲上升趋势：OBV振荡器保持正值 - 强劲下降趋势：OBV振荡器保持负值 - 弱势趋势：OBV振荡器频繁穿越零线 3. **成交量确认** - 趋势伴随上升的OBV = 强趋势 - 趋势伴随下降的OBV = 弱趋势（注意反转） #### 背离交易 1. **启用背离检测** - 先从常规背离开始 - 添加隐藏背离用于趋势延续 2. **等待背离信号** - 黄色标签 = 潜在看涨反转 - 蓝色标签 = 潜在看跌反转 3. **用价格行为确认** - 等待支撑/阻力突破 - 寻找K线确认 - 检查更高时间框架对齐 4. **进入交易** - 确认后进入 - 在近期波动之外设置止损 - 基于前一波动或支撑/阻力设定目标 #### 突破交易 1. **启用穿越标签** - 识别振荡器何时穿越零线 2. **确认成交量强度** - 强突破有大振荡器移动 - 弱突破勉强穿越零线 3. **交易方向** - "突破"标签 = 进入多头 - "跌破"标签 = 进入空头 4. **管理仓位** - 振荡器反向穿越时退出 - 使用价格结构设置止损 #### 多时间框架分析 1. **设置更高时间框架** - 例如：在15分钟图上，设置时间框架为1H或4H 2. **识别更高时间框架趋势** - 正振荡器 = 上升趋势偏向 - 负振荡器 = 下降趋势偏向 3. **顺趋势交易** - 仅在上升趋势中接受多头信号 - 仅在下降趋势中接受空头信号 4. **把握入场时机** - 使用当前时间框架进行精确进入 - 用更高时间框架方向确认 ### 交易策略 #### 策略1：常规背离反转 **设置：** 1. 价格处于强趋势（上涨或下跌） 2. 出现常规背离 3. 价格到达支撑/阻力水平 **入场：** - 看涨：在"看涨"标签后，价格突破近期高点时 - 看跌：在"看跌"标签后，价格跌破近期低点时 **止损：** - 看涨：背离低点之下 - 看跌：背离高点之上 **退出：** - 在下一个主要支撑/阻力获利 - 或出现相反背离时 **适合：**波段交易、反转交易 #### 策略2：隐藏背离延续 **设置：** 1. 建立明确趋势 2. 价格回调（回撤） 3. 出现隐藏背离 **入场：** - 看涨：在"隐藏看涨"标签后，价格恢复上升趋势时 - 看跌：在"隐藏看跌"标签后，价格恢复下降趋势时 **止损：** - 在回调波动点之后 **退出：** - 随着趋势延续移动止损 - 出现常规背离（反转信号）时退出 **适合：**趋势跟随、加仓 #### 策略3：零线穿越 **设置：** 1. 启用穿越标签 2. 振荡器穿越零线 3. 用价格结构突破确认 **入场：** - "突破"标签 = 买入信号 - "跌破"标签 = 卖出信号 **止损：** - 近期波动之下/之上 **退出：** - 振荡器反向穿越零线时 - 或在预定目标 **适合：**动量交易、快速交易 #### 策略4：多时间框架汇合 **设置：** 1. 设置指标到更高时间框架（例如，在1H图上设置4H） 2. 等待更高TF振荡器为正（上升趋势）或负（下降趋势） 3. 在当前时间框架上寻找与更高TF一致的入场机会 **入场：** - 多头：两个时间框架都显示正振荡器或看涨背离时 - 空头：两个时间框架都显示负振荡器或看跌背离时 **止损：** - 基于当前时间框架结构 **退出：** - 更高时间框架振荡器变为负（多头）或正（空头）时 **适合：**波段交易、高概率设置 ### 最佳实践 #### 成交量分析 1. **强势波动需要成交量** - 价格上涨 + 上升的OBV = 健康上升趋势 - 价格上涨 + 下降的OBV = 弱上升趋势（警告） 2. **注意确认** - 新高伴随新OBV高点 = 已确认 - 新高没有新OBV高点 = 潜在背离 3. **考虑背景** - 低成交量期（亚洲时段、假期）= 可靠性较低 - 高成交量期（新闻、伦敦/纽约重叠）= 更可靠 #### 背离交易技巧 1. **不是所有背离都有效** - 等待价格确认 - 在超卖/超买区域更强 - 在支撑/阻力水平更好 2. **多重背离** - 同一趋势上多个背离 = 更强信号 - 背离快速失败 = 忽略并等待下一个 3. **时间框架重要** - 更高时间框架背离 = 更可靠 - 更低时间框架背离 = 更频繁，可靠性较低 #### 平滑选择 1. **无平滑（None）** - 最敏感，更多信号 - 更多噪音，更多假信号 - 适合：剥头皮、非常活跃的交易 2. **EMA（默认）** - 平衡方法 - 适合大多数策略 - 适合：波段交易、日内交易 3. **SMMA (RMA)** - 非常平滑，更少信号 - 对突然变化响应较慢 - 适合：仓位交易、更长时间框架 ### 指标组合 **与移动平均线配合：** - 使用EMA确定趋势方向 - OBV确认成交量 - 两者一致时进入 **与RSI配合：** - RSI用于超买超卖 - OBV用于成交量确认 - 两者都背离 = 更强信号 **与价格行为配合：** - 支撑/阻力确定水平 - OBV确认强度 - 正OBV的突破 = 更可能成功 **与Bias指标配合：** - Bias用于价格偏离 - OBV用于成交量确认 - 两者都显示背离 = 高概率反转 ### 常见形态 1. **积累**：OBV上升而价格盘整（突破可能） 2. **派发**：OBV下降而价格盘整（跌破可能） 3. **确认**：OBV和价格都创新高/新低（趋势强劲） 4. **背离**：OBV和价格反向移动（反转警告） 5. **假突破**：价格突破但OBV不确认（可能失败） ### 性能提示 - 禁用未使用的显示功能以加快加载 - 先从常规背离开始，稍后添加隐藏背离 - 使用柱状图快速视觉参考 - 启用穿越标签以获得清晰的入场信号 - 为您的市场测试不同的平滑长度 ### 警报条件 指标包含以下警报： - 检测到常规看涨背离 - 检测到常规看跌背离 - 检测到隐藏看涨背离 - 检测到隐藏看跌背离 **如何设置警报：** 1. 点击指标名称 2. 选择"添加警报" 3. 选择条件 4. 配置通知方法 --- ## Technical Support For questions or issues, please refer to the TradingView community or contact the indicator creator. ## 技术支持 如有问题，请参考TradingView社区或联系指标创建者。
Pine Script® Indikator
von lwmxmpyp
Liquidity Void Zone Detector [PhenLabs]📊 Liquidity Void Zone Detector Version: PineScript™v6 📌 Description The Liquidity Void Zone Detector is a sophisticated technical indicator designed to identify and visualize areas where price moved with abnormally low volume or rapid momentum, creating "voids" in market liquidity. These zones represent areas where insufficient trading activity occurred during price movement, often acting as magnets for future price action as the market seeks to fill these gaps. Built on PineScript v6, this indicator employs a dual-detection methodology that analyzes both volume depletion patterns and price movement intensity relative to ATR. The revolutionary 3D visualization system uses three-layer polyline rendering with adaptive transparency and vertical offsets, creating genuine depth perception where low liquidity zones visually recede and high liquidity zones protrude forward. This makes critical market structure immediately apparent without cluttering your chart. 🚀 Points of Innovation Dual detection algorithm combining volume threshold analysis and ATR-normalized price movement sensitivity for comprehensive void identification Three-layer 3D visualization system with progressive transparency gradients (85%, 78%, 70%) and calculated vertical offsets for authentic depth perception Intelligent state machine logic that tracks consecutive void bars and only renders zones meeting minimum qualification requirements Dynamic strength scoring system (0-100 scale) that combines inverted volume ratios with movement intensity for accurate void characterization Adaptive ATR-based spacing calculation that automatically adjusts 3D layering depth to match instrument volatility Efficient memory management system supporting up to 100 simultaneous void visualizations with automatic array-based cleanup 🔧 Core Components Volume Analysis Engine: Calculates rolling volume averages and compares current bar volume against dynamic thresholds to detect abnormally thin trading conditions Price Movement Analyzer: Normalizes bar range against ATR to identify rapid price movements that indicate liquidity exhaustion regardless of instrument or timeframe Void Tracking State Machine: Maintains persistent tracking of void start bars, price boundaries, consecutive bar counts, and cumulative strength across multiple bars 3D Polyline Renderer: Generates three-layer rectangular polylines with precise timestamp-to-bar index conversion and progressive offset calculations Strength Calculation System: Combines volume component (inverted ratio capped at 100) with movement component (ATR intensity × 30) for comprehensive void scoring 🔥 Key Features Automatic Void Detection: Continuously scans price action for low volume conditions or rapid movements, triggering void tracking when thresholds are exceeded Real-Time Visualization: Creates 3D rectangular zones spanning from void initiation to termination, with color-coded depth indicating liquidity type Adjustable Sensitivity: Configure volume threshold multiplier (0.1-2.0x), price movement sensitivity (0.5-5.0x), and minimum qualifying bars (1-10) for customized detection Dual Color Coding: Separate visual treatment for low liquidity voids (receding red) and high liquidity zones (protruding green) based on 50-point strength threshold Optional Compact Labels: Toggle LV (Low Volume) or HV (High Volume) circular labels at void centers for quick identification without visual clutter Lookback Period Control: Adjust analysis window from 5 to 100 bars to match your trading timeframe and market volatility characteristics Memory-Efficient Design: Automatically manages polyline and label arrays, deleting oldest elements when user-defined maximum is reached Data Window Integration: Plots void detection binary, current strength score, and average volume for detailed analysis in TradingView's data window 🎨 Visualization Three-Layer Depth System: Each void is rendered as three stacked polylines with progressive transparency (85%, 78%, 70%) and calculated vertical offsets creating authentic 3D appearance Directional Depth Perception: Low liquidity zones recede with back layer most transparent; high liquidity zones protrude with front layer most transparent for instant visual differentiation Adaptive Offset Spacing: Vertical separation between layers calculated as ATR(14) × 0.001, ensuring consistent 3D effect across different instruments and volatility regimes Color Customization: Fully configurable base colors for both low liquidity zones (default: red with 80 transparency) and high liquidity zones (default: green with 80 transparency) Minimal Chart Clutter: Closed polylines with matching line and fill colors create clean rectangular zones without unnecessary borders or visual noise Background Highlight: Subtle yellow background (96% transparency) marks bars where void conditions are actively detected in real-time Compact Labeling: Optional tiny circular labels with 60% transparent backgrounds positioned at void center points for quick reference 📖 Usage Guidelines Detection Settings Lookback Period: Default: 10 | Range: 5-100 | Number of bars analyzed for volume averaging and void detection. Lower values increase sensitivity to recent changes; higher values smooth detection across longer timeframes. Adjust based on your trading timeframe: short-term traders use 5-15, swing traders use 20-50, position traders use 50-100. Volume Threshold: Default: 1.0 | Range: 0.1-2.0 (step 0.1) | Multiplier applied to average volume. Bars with volume below (average × threshold) trigger void conditions. Lower values detect only extreme volume depletion; higher values capture more moderate low-volume situations. Start with 1.0 and decrease to 0.5-0.7 for stricter detection. Price Movement Sensitivity: Default: 1.5 | Range: 0.5-5.0 (step 0.1) | Multiplier for ATR-normalized price movement detection. Values above this threshold indicate rapid price changes suggesting liquidity voids. Increase to 2.0-3.0 for volatile instruments; decrease to 0.8-1.2 for ranging or low-volatility conditions. Minimum Void Bars: Default: 10 | Range: 1-10 | Minimum consecutive bars exhibiting void conditions required before visualization is created. Filters out brief anomalies and ensures only sustained voids are displayed. Use 1-3 for scalping, 5-10 for intraday trading, 10+ for swing trading to match your time horizon. Visual Settings Low Liquidity Color: Default: Red (80% transparent) | Base color for zones where volume depletion or rapid movement indicates thin liquidity. These zones recede visually (back layer most transparent). Choose colors that contrast with your chart theme for optimal visibility. High Liquidity Color: Default: Green (80% transparent) | Base color for zones with relatively higher liquidity compared to void threshold. These zones protrude visually (front layer most transparent). Ensure clear differentiation from low liquidity color. Show Void Labels: Default: True | Toggle display of compact LV/HV labels at void centers. Disable for cleaner charts when trading; enable for analysis and review to quickly identify void types across your chart. Max Visible Voids: Default: 50 | Range: 10-100 | Maximum number of void visualizations kept on chart. Each void uses 3 polylines, so setting of 50 maintains 150 total polylines. Higher values preserve more history but may impact performance on lower-end systems. ✅ Best Use Cases Gap Fill Trading: Identify unfilled liquidity voids that price frequently returns to, providing high-probability retest and reversal opportunities when price approaches these zones Breakout Validation: Distinguish genuine breakouts through established liquidity from false breaks into void zones that lack sustainable volume support Support/Resistance Confluence: Layer void detection over key horizontal levels to validate structural integrity—levels within high liquidity zones are stronger than those in voids Trend Continuation: Monitor for new void formation in trend direction as potential continuation zones where price may accelerate due to reduced resistance Range Trading: Identify void zones within consolidation ranges that price tends to traverse quickly, helping to avoid getting caught in rapid moves through thin areas Entry Timing: Wait for price to reach void boundaries rather than entering mid-void, as voids tend to be traversed quickly with limited profit-taking opportunities ⚠️ Limitations Historical Pattern Indicator: Identifies past liquidity voids but cannot predict whether price will return to fill them or when filling might occur No Volume on Forex: Indicator uses tick volume for forex pairs, which approximates but doesn't represent true trading volume, potentially affecting detection accuracy Lagging Confirmation: Requires minimum consecutive bars (default 10) before void is visualized, meaning detection occurs after void formation begins Trending Market Behavior: Strong trends driven by fundamental catalysts may create voids that remain unfilled for extended periods or permanently Timeframe Dependency: Detection sensitivity varies significantly across timeframes; settings optimized for one timeframe may not perform well on others No Directional Bias: Indicator identifies liquidity characteristics but provides no predictive signal for price direction after void detection Performance Considerations: Higher max visible void settings combined with small minimum void bars can generate numerous visualizations impacting chart rendering speed 💡 What Makes This Unique Industry-First 3D Visualization: Unlike flat volume or liquidity indicators, the three-layer rendering with directional depth perception provides instant visual hierarchy of liquidity quality Dual-Mode Detection: Combines both volume-based and movement-based detection methodologies, capturing voids that single-approach indicators miss Intelligent Qualification System: State machine logic prevents premature visualization by requiring sustained void conditions, reducing false signals and chart clutter ATR-Normalized Analysis: All detection thresholds adapt to instrument volatility, ensuring consistent performance across stocks, forex, crypto, and futures without constant recalibration Transparency-Based Depth: Uses progressive transparency gradients rather than colors or patterns to create depth, maintaining visual clarity while conveying information hierarchy Comprehensive Strength Metrics: 0-100 void strength calculation considers both the degree of volume depletion and the magnitude of price movement for nuanced zone characterization 🔬 How It Works Phase 1: Real-Time Detection On each bar close, the indicator calculates average volume over the lookback period and compares current bar volume against the volume threshold multiplier Simultaneously measures current bar's high-low range and normalizes it against ATR, comparing the result to price movement sensitivity parameter If either volume falls below threshold OR movement exceeds sensitivity threshold, the bar is flagged as exhibiting void characteristics Phase 2: Void Tracking & Qualification When void conditions first appear, state machine initializes tracking variables: start bar index, initial top/bottom prices, consecutive bar counter, and cumulative strength accumulator Each subsequent bar with void conditions extends the tracking, updating price boundaries to envelope all bars and accumulating strength scores When void conditions cease, system checks if consecutive bar count meets minimum threshold; if yes, proceeds to visualization; if no, discards the tracking and resets Phase 3: 3D Visualization Construction Calculates average void strength by dividing cumulative strength by number of bars, then determines if void is low liquidity (>50 strength) or high liquidity (≤50 strength) Generates three polyline layers spanning from start bar to end bar and from top price to bottom price, each with calculated vertical offset based on ATR Applies progressive transparency (85%, 78%, 70%) with layer ordering creating recession effect for low liquidity zones and protrusion effect for high liquidity zones Creates optional center label and pushes all visual elements into arrays for memory management Phase 4: Memory Management & Display Continuously monitors polyline array size (each void creates 3 polylines); when total exceeds max visible voids × 3, deletes oldest polylines via array.shift() Similarly manages label array, removing oldest labels when count exceeds maximum to prevent memory accumulation over extended chart history Plots diagnostic data to TradingView’s data window (void detection binary, current strength, average volume) for detailed analysis without cluttering main chart 💡 Note: This indicator is designed to enhance your market structure analysis by revealing liquidity characteristics that aren’t visible through standard price and volume displays. For best results, combine void detection with your existing support/resistance analysis, trend identification, and risk management framework. Liquidity voids are descriptive of past market behavior and should inform positioning decisions rather than serve as standalone entry/exit signals. Experiment with detection parameters across different timeframes to find settings that align with your trading style and instrument characteristics.
Pine Script® Indikator
von PhenLabs
Hellenic EMA Matrix - PremiumHellenic EMA Matrix - Alpha Omega Premium Complete User Guide Table of Contents Introduction Indicator Philosophy Mathematical Constants EMA Types Settings Trading Signals Visualization Usage Strategies FAQ Introduction Hellenic EMA Matrix is a premium indicator based on mathematical constants of nature: Phi (Phi - Golden Ratio), Pi (Pi), e (Euler's number). The indicator uses these universal constants to create dynamic EMAs that adapt to the natural rhythms of the market. Key Features: 6 EMA types based on mathematical constants Premium visualization with Neon Glow and Gradient Clouds Automatic Fast/Mid/Slow EMA sorting STRONG signals for powerful trends Pulsing Ribbon Bar for instant trend assessment Works on all timeframes (M1 - MN) Indicator Philosophy Why Mathematical Constants? Traditional EMAs use arbitrary periods (9, 21, 50, 200). Hellenic Matrix goes further, using universal mathematical constants found in nature: Phi (1.618) - Golden Ratio: galaxy spirals, seashells, human body proportions Pi (3.14159) - Pi: circles, waves, cycles e (2.71828) - Natural logarithm base: exponential growth, radioactive decay Markets are also a natural system composed of millions of participants. Using mathematical constants allows tuning into the natural rhythms of market cycles. Mathematical Constants Phi (Phi) - Golden Ratio Phi = 1.618033988749895 Properties: Phi² = Phi + 1 = 2.618 Phi³ = 4.236 Phi⁴ = 6.854 Application: Ideal for trending movements and Fibonacci corrections Pi (Pi) - Pi Number Pi = 3.141592653589793 Properties: 2Pi = 6.283 (full circle) 3Pi = 9.425 4Pi = 12.566 Application: Excellent for cyclical markets and wave structures e (Euler) - Euler's Number e = 2.718281828459045 Properties: e² = 7.389 e³ = 20.085 e⁴ = 54.598 Application: Suitable for exponential movements and volatile markets EMA Types 1. Phi (Phi) - Golden Ratio EMA Description: EMA based on the golden ratio Period Formula: Period = Phi^n × Base Multiplier Parameters: Phi Power Level (1-8): Power of Phi Phi¹ = 1.618 → ~16 period (with Base=10) Phi² = 2.618 → ~26 period Phi³ = 4.236 → ~42 period (recommended) Phi⁴ = 6.854 → ~69 period Recommendations: Phi² or Phi³ for day trading Phi⁴ or Phi⁵ for swing trading Works excellently as Fast EMA 2. Pi (Pi) - Circular EMA Description: EMA based on Pi for cyclical movements Period Formula: Period = Pi × Multiple × Base Multiplier Parameters: Pi Multiple (1-10): Pi multiplier 1Pi = 3.14 → ~31 period (with Base=10) 2Pi = 6.28 → ~63 period (recommended) 3Pi = 9.42 → ~94 period Recommendations: 2Pi ideal as Mid or Slow EMA Excellently identifies cycles and waves Use on volatile markets (crypto, forex) 3. e (Euler) - Natural EMA Description: EMA based on natural logarithm Period Formula: Period = e^n × Base Multiplier Parameters: e Power Level (1-6): Power of e e¹ = 2.718 → ~27 period (with Base=10) e² = 7.389 → ~74 period (recommended) e³ = 20.085 → ~201 period Recommendations: e² works excellently as Slow EMA Ideal for stocks and indices Filters noise well on lower timeframes 4. Delta (Delta) - Adaptive EMA Description: Adaptive EMA that changes period based on volatility Period Formula: Period = Base Period × (1 + (Volatility - 1) × Factor) Parameters: Delta Base Period (5-200): Base period (default 20) Delta Volatility Sensitivity (0.5-5.0): Volatility sensitivity (default 2.0) How it works: During low volatility → period decreases → EMA reacts faster During high volatility → period increases → EMA smooths noise Recommendations: Works excellently on news and sharp movements Use as Fast EMA for quick adaptation Sensitivity 2.0-3.0 for crypto, 1.0-2.0 for stocks 5. Sigma (Sigma) - Composite EMA Description: Composite EMA combining multiple active EMAs Composition Methods: Weighted Average (default): Sigma = (Phi + Pi + e + Delta) / 4 Simple average of all active EMAs Geometric Mean: Sigma = fourth_root(Phi × Pi × e × Delta) Geometric mean (more conservative) Harmonic Mean: Sigma = 4 / (1/Phi + 1/Pi + 1/e + 1/Delta) Harmonic mean (more weight to smaller values) Recommendations: Enable for additional confirmation Use as Mid EMA Weighted Average - most universal method 6. Lambda (Lambda) - Wave EMA Description: Wave EMA with sinusoidal period modulation Period Formula: Period = Base Period × (1 + Amplitude × sin(2Pi × bar / Frequency)) Parameters: Lambda Base Period (10-200): Base period Lambda Wave Amplitude (0.1-2.0): Wave amplitude Lambda Wave Frequency (10-200): Wave frequency in bars How it works: Period pulsates sinusoidally Creates wave effect following market cycles Recommendations: Experimental EMA for advanced users Works well on cyclical markets Frequency = 50 for day trading, 100+ for swing Settings Matrix Core Settings Base Multiplier (1-100) Multiplies all EMA periods Base = 1: Very fast EMAs (Phi³ = 4, 2Pi = 6, e² = 7) Base = 10: Standard (Phi³ = 42, 2Pi = 63, e² = 74) Base = 20: Slow EMAs (Phi³ = 85, 2Pi = 126, e² = 148) Recommendations by timeframe: M1-M5: Base = 5-10 M15-H1: Base = 10-15 (recommended) H4-D1: Base = 15-25 W1-MN: Base = 25-50 Matrix Source Data source selection for EMA calculation: close - closing price (standard) open - opening price high - high low - low hl2 - (high + low) / 2 hlc3 - (high + low + close) / 3 ohlc4 - (open + high + low + close) / 4 When to change: hlc3 or ohlc4 for smoother signals high for aggressive longs low for aggressive shorts Manual EMA Selection Critically important setting! Determines which EMAs are used for signal generation. Use Manual Fast/Slow/Mid Selection Enabled (default): You select EMAs manually Disabled: Automatic selection by periods Fast EMA Fast EMA - reacts first to price changes Recommendations: Phi Golden (recommended) - universal choice Delta Adaptive - for volatile markets Must be fastest (smallest period) Slow EMA Slow EMA - determines main trend Recommendations: Pi Circular (recommended) - excellent trend filter e Natural - for smoother trend Must be slowest (largest period) Mid EMA Mid EMA - additional signal filter Recommendations: e Natural (recommended) - excellent middle level Pi Circular - alternative None - for more frequent signals (only 2 EMAs) IMPORTANT: The indicator automatically sorts selected EMAs by their actual periods: Fast = EMA with smallest period Mid = EMA with middle period Slow = EMA with largest period Therefore, you can select any combination - the indicator will arrange them correctly! Premium Visualization Neon Glow Enable Neon Glow for EMAs - adds glowing effect around EMA lines Glow Strength: Light - subtle glow Medium (recommended) - optimal balance Strong - bright glow (may be too bright) Effect: 2 glow layers around each EMA for 3D effect Gradient Clouds Enable Gradient Clouds - fills space between EMAs with gradient Parameters: Cloud Transparency (85-98): Cloud transparency 95-97 (recommended) Higher = more transparent Dynamic Cloud Intensity - automatically changes transparency based on EMA distance Cloud Colors: Phi-Pi Cloud: Blue - when Pi above Phi (bullish) Gold - when Phi above Pi (bearish) Pi-e Cloud: Green - when e above Pi (bullish) Blue - when Pi above e (bearish) 2 layers for volumetric effect Pulsing Ribbon Bar Enable Pulsing Indicator Bar - pulsing strip at bottom/top of chart Parameters: Ribbon Position: Top / Bottom (recommended) Pulse Speed: Slow / Medium (recommended) / Fast Symbols and colors: Green filled square - STRONG BULLISH Pink filled square - STRONG BEARISH Blue hollow square - Bullish (regular) Red hollow square - Bearish (regular) Purple rectangle - Neutral Effect: Pulsation with sinusoid for living market feel Signal Bar Highlights Enable Signal Bar Highlights - highlights bars with signals Parameters: Highlight Transparency (88-96): Highlight transparency Highlight Style: Light Fill (recommended) - bar background fill Thin Line - bar outline only Highlights: Golden Cross - green Death Cross - pink STRONG BUY - green STRONG SELL - pink Show Greek Labels Shows Greek alphabet letters on last bar: Phi - Phi EMA (gold) Pi - Pi EMA (blue) e - Euler EMA (green) Delta - Delta EMA (purple) Sigma - Sigma EMA (pink) When to use: For education or presentations Show Old Background Old background style (not recommended): Green background - STRONG BULLISH Pink background - STRONG BEARISH Blue background - Bullish Red background - Bearish Not recommended - use new Gradient Clouds and Pulsing Bar Info Table Show Info Table - table with indicator information Parameters: Position: Top Left / Top Right (recommended) / Bottom Left / Bottom Right Size: Tiny / Small (recommended) / Normal / Large Table contents: EMA list - periods and current values of all active EMAs Effects - active visual effects TREND - current trend state: STRONG UP - strong bullish STRONG DOWN - strong bearish Bullish - regular bullish Bearish - regular bearish Neutral - neutral Momentum % - percentage deviation of price from Fast EMA Setup - current Fast/Slow/Mid configuration Trading Signals Show Golden/Death Cross Golden Cross - Fast EMA crosses Slow EMA from below (bullish signal) Death Cross - Fast EMA crosses Slow EMA from above (bearish signal) Symbols: Yellow dot "GC" below - Golden Cross Dark red dot "DC" above - Death Cross Show STRONG Signals STRONG BUY and STRONG SELL - the most powerful indicator signals Conditions for STRONG BULLISH: EMA Alignment: Fast > Mid > Slow (all EMAs aligned) Trend: Fast > Slow (clear uptrend) Distance: EMAs separated by minimum 0.15% Price Position: Price above Fast EMA Fast Slope: Fast EMA rising Slow Slope: Slow EMA rising Mid Trending: Mid EMA also rising (if enabled) Conditions for STRONG BEARISH: Same but in reverse Visual display: Green label "STRONG BUY" below bar Pink label "STRONG SELL" above bar Difference from Golden/Death Cross: Golden/Death Cross = crossing moment (1 bar) STRONG signal = sustained trend (lasts several bars) IMPORTANT: After fixes, STRONG signals now: Work on all timeframes (M1 to MN) Don't break on small retracements Work with any Fast/Mid/Slow combination Automatically adapt thanks to EMA sorting Show Stop Loss/Take Profit Automatic SL/TP level calculation on STRONG signal Parameters: Stop Loss (ATR) (0.5-5.0): ATR multiplier for stop loss 1.5 (recommended) - standard 1.0 - tight stop 2.0-3.0 - wide stop Take Profit R:R (1.0-5.0): Risk/reward ratio 2.0 (recommended) - standard (risk 1.5 ATR, profit 3.0 ATR) 1.5 - conservative 3.0-5.0 - aggressive Formulas: LONG: Stop Loss = Entry - (ATR × Stop Loss ATR) Take Profit = Entry + (ATR × Stop Loss ATR × Take Profit R:R) SHORT: Stop Loss = Entry + (ATR × Stop Loss ATR) Take Profit = Entry - (ATR × Stop Loss ATR × Take Profit R:R) Visualization: Red X - Stop Loss Green X - Take Profit Levels remain active while STRONG signal persists Trading Signals Signal Types 1. Golden Cross Description: Fast EMA crosses Slow EMA from below Signal: Beginning of bullish trend How to trade: ENTRY: On bar close with Golden Cross STOP: Below local low or below Slow EMA TARGET: Next resistance level or 2:1 R:R Strengths: Simple and clear Works well on trending markets Clear entry point Weaknesses: Lags (signal after movement starts) Many false signals in ranging markets May be late on fast moves Optimal timeframes: H1, H4, D1 2. Death Cross Description: Fast EMA crosses Slow EMA from above Signal: Beginning of bearish trend How to trade: ENTRY: On bar close with Death Cross STOP: Above local high or above Slow EMA TARGET: Next support level or 2:1 R:R Application: Mirror of Golden Cross 3. STRONG BUY Description: All EMAs aligned + trend + all EMAs rising Signal: Powerful bullish trend How to trade: ENTRY: On bar close with STRONG BUY or on pullback to Fast EMA STOP: Below Fast EMA or automatic SL (if enabled) TARGET: Automatic TP (if enabled) or by levels TRAILING: Follow Fast EMA Entry strategies: Aggressive: Enter immediately on signal Conservative: Wait for pullback to Fast EMA, then enter on bounce Pyramiding: Add positions on pullbacks to Mid EMA Position management: Hold while STRONG signal active Exit on STRONG SELL or Death Cross appearance Move stop behind Fast EMA Strengths: Most reliable indicator signal Doesn't break on pullbacks Catches large moves Works on all timeframes Weaknesses: Appears less frequently than other signals Requires confirmation (multiple conditions) Optimal timeframes: All (M5 - D1) 4. STRONG SELL Description: All EMAs aligned down + downtrend + all EMAs falling Signal: Powerful bearish trend How to trade: Mirror of STRONG BUY Visual Signals Pulsing Ribbon Bar Quick market assessment at a glance: Symbol Color State Filled square Green STRONG BULLISH Filled square Pink STRONG BEARISH Hollow square Blue Bullish Hollow square Red Bearish Rectangle Purple Neutral Pulsation: Sinusoidal, creates living effect Signal Bar Highlights Bars with signals are highlighted: Green highlight: STRONG BUY or Golden Cross Pink highlight: STRONG SELL or Death Cross Gradient Clouds Colored space between EMAs shows trend strength: Wide clouds - strong trend Narrow clouds - weak trend or consolidation Color change - trend change Info Table Quick reference in corner: TREND: Current state (STRONG UP, Bullish, Neutral, Bearish, STRONG DOWN) Momentum %: Movement strength Effects: Active visual effects Setup: Fast/Slow/Mid configuration Usage Strategies Strategy 1: "Golden Trailing" Idea: Follow STRONG signals using Fast EMA as trailing stop Settings: Fast: Phi Golden (Phi³) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: Wait for STRONG BUY Enter on bar close or on pullback to Fast EMA Stop below Fast EMA Management: Hold position while STRONG signal active Move stop behind Fast EMA daily Exit on STRONG SELL or Death Cross Take Profit: Partially close at +2R Trail remainder until exit signal For whom: Swing traders, trend followers Pros: Catches large moves Simple rules Emotionally comfortable Cons: Requires patience Possible extended drawdowns on pullbacks Strategy 2: "Scalping Bounces" Idea: Scalp bounces from Fast EMA during STRONG trend Settings: Fast: Delta Adaptive (Base 15, Sensitivity 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base Multiplier: 5 Timeframe: M5, M15 Entry rules: STRONG signal must be active Wait for price pullback to Fast EMA Enter on bounce (candle closes above/below Fast EMA) Stop behind local extreme (15-20 pips) Take Profit: +1.5R or to Mid EMA Or to next level For whom: Active day traders Pros: Many signals Clear entry point Quick profits Cons: Requires constant monitoring Not all bounces work Requires discipline for frequent trading Strategy 3: "Triple Filter" Idea: Enter only when all 3 EMAs and price perfectly aligned Settings: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (3Pi) Base Multiplier: 15 Timeframe: H4, D1 Entry rules (LONG): STRONG BUY active Price above all three EMAs Fast > Mid > Slow (all aligned) All EMAs rising (slope up) Gradient Clouds wide and bright Entry: On bar close meeting all conditions Or on next pullback to Fast EMA Stop: Below Mid EMA or -1.5 ATR Take Profit: First target: +3R Second target: next major level Trailing: Mid EMA For whom: Conservative swing traders, investors Pros: Very reliable signals Minimum false entries Large profit potential Cons: Rare signals (2-5 per month) Requires patience Strategy 4: "Adaptive Scalper" Idea: Use only Delta Adaptive EMA for quick volatility reaction Settings: Fast: Delta Adaptive (Base 10, Sensitivity 3.0) Mid: None Slow: Delta Adaptive (Base 30, Sensitivity 2.0) Base Multiplier: 3 Timeframe: M1, M5 Feature: Two different Delta EMAs with different settings Entry rules: Golden Cross between two Delta EMAs Both Delta EMAs must be rising/falling Enter on next bar Stop: 10-15 pips or below Slow Delta EMA Take Profit: +1R to +2R Or Death Cross For whom: Scalpers on cryptocurrencies and forex Pros: Instant volatility adaptation Many signals on volatile markets Quick results Cons: Much noise on calm markets Requires fast execution High commissions may eat profits Strategy 5: "Cyclical Trader" Idea: Use Pi and Lambda for trading cyclical markets Settings: Fast: Pi Circular (1Pi) Mid: Lambda Wave (Base 30, Amplitude 0.5, Frequency 50) Slow: Pi Circular (3Pi) Base Multiplier: 10 Timeframe: H1, H4 Entry rules: STRONG signal active Lambda Wave EMA synchronized with trend Enter on bounce from Lambda Wave For whom: Traders of cyclical assets (some altcoins, commodities) Pros: Catches cyclical movements Lambda Wave provides additional entry points Cons: More complex to configure Not for all markets Lambda Wave may give false signals Strategy 6: "Multi-Timeframe Confirmation" Idea: Use multiple timeframes for confirmation Scheme: Higher TF (D1): Determine trend direction (STRONG signal) Middle TF (H4): Wait for STRONG signal in same direction Lower TF (M15): Look for entry point (Golden Cross or bounce from Fast EMA) Settings for all TFs: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base Multiplier: 10 Rules: All 3 TFs must show one trend Entry on lower TF Stop by lower TF Target by higher TF For whom: Serious traders and investors Pros: Maximum reliability Large profit targets Minimum false signals Cons: Rare setups Requires analysis of multiple charts Experience needed Practical Tips DOs Use STRONG signals as primary - they're most reliable Let signals develop - don't exit on first pullback Use trailing stop - follow Fast EMA Combine with levels - S/R, Fibonacci, volumes Test on demo before real Adjust Base Multiplier for your timeframe Enable visual effects - they help see the picture Use Info Table - quick situation assessment Watch Pulsing Bar - instant state indicator Trust auto-sorting of Fast/Mid/Slow DON'Ts Don't trade against STRONG signal - trend is your friend Don't ignore Mid EMA - it adds reliability Don't use too small Base Multiplier on higher TFs Don't enter on Golden Cross in range - check for trend Don't change settings during open position Don't forget risk management - 1-2% per trade Don't trade all signals in row - choose best ones Don't use indicator in isolation - combine with Price Action Don't set too tight stops - let trade breathe Don't over-optimize - simplicity = reliability Optimal Settings by Asset US Stocks (SPY, AAPL, TSLA) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 10-15 Timeframe: H4, D1 Features: Use on daily for swing STRONG signals very reliable Works well on trending stocks Forex (EUR/USD, GBP/USD) Recommendation: Fast: Delta Adaptive (Base 15, Sens 2.0) Mid: Phi Golden (Phi²) Slow: Pi Circular (2Pi) Base: 8-12 Timeframe: M15, H1, H4 Features: Delta Adaptive works excellently on news Many signals on M15-H1 Consider spreads Cryptocurrencies (BTC, ETH, altcoins) Recommendation: Fast: Delta Adaptive (Base 10, Sens 3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M5, M15, H1 Features: High volatility - adaptation needed STRONG signals can last days Be careful with scalping on M1-M5 Commodities (Gold, Oil) Recommendation: Fast: Pi Circular (1Pi) Mid: Phi Golden (Phi³) Slow: Pi Circular (3Pi) Base: 12-18 Timeframe: H4, D1 Features: Pi works excellently on cyclical commodities Gold responds especially well to Phi Oil volatile - use wide stops Indices (S&P500, Nasdaq, DAX) Recommendation: Fast: Phi Golden (Phi³) Mid: e Natural (e²) Slow: Pi Circular (2Pi) Base: 15-20 Timeframe: H4, D1, W1 Features: Very trending instruments STRONG signals last weeks Good for position trading Alerts The indicator supports 6 alert types: 1. Golden Cross Message: "Hellenic Matrix: GOLDEN CROSS - Fast EMA crossed above Slow EMA - Bullish trend starting!" When: Fast EMA crosses Slow EMA from below 2. Death Cross Message: "Hellenic Matrix: DEATH CROSS - Fast EMA crossed below Slow EMA - Bearish trend starting!" When: Fast EMA crosses Slow EMA from above 3. STRONG BULLISH Message: "Hellenic Matrix: STRONG BULLISH SIGNAL - All EMAs aligned for powerful uptrend!" When: All conditions for STRONG BUY met (first bar) 4. STRONG BEARISH Message: "Hellenic Matrix: STRONG BEARISH SIGNAL - All EMAs aligned for powerful downtrend!" When: All conditions for STRONG SELL met (first bar) 5. Bullish Ribbon Message: "Hellenic Matrix: BULLISH RIBBON - EMAs aligned for uptrend" When: EMAs aligned bullish + price above Fast EMA (less strict condition) 6. Bearish Ribbon Message: "Hellenic Matrix: BEARISH RIBBON - EMAs aligned for downtrend" When: EMAs aligned bearish + price below Fast EMA (less strict condition) How to Set Up Alerts: Open indicator on chart Click on three dots next to indicator name Select "Create Alert" In "Condition" field select needed alert: Golden Cross Death Cross STRONG BULLISH STRONG BEARISH Bullish Ribbon Bearish Ribbon Configure notification method: Pop-up in browser Email SMS (in Premium accounts) Push notifications in mobile app Webhook (for automation) Select frequency: Once Per Bar Close (recommended) - once on bar close Once Per Bar - during bar formation Only Once - only first time Click "Create" Tip: Create separate alerts for different timeframes and instruments FAQ 1. Why don't STRONG signals appear? Possible reasons: Incorrect Fast/Mid/Slow order Solution: Indicator automatically sorts EMAs by periods, but ensure selected EMAs have different periods Base Multiplier too large Solution: Reduce Base to 5-10 on lower timeframes Market in range Solution: STRONG signals appear only in trends - this is normal Too strict EMA settings Solution: Try classic combination: Phi³ / Pi×2 / e² with Base=10 Mid EMA too close to Fast or Slow Solution: Select Mid EMA with period between Fast and Slow 2. How often should STRONG signals appear? Normal frequency: M1-M5: 5-15 signals per day (very active markets) M15-H1: 2-8 signals per day H4: 3-10 signals per week D1: 2-5 signals per month W1: 2-6 signals per year If too many signals - market very volatile or Base too small If too few signals - market in range or Base too large 4. What are the best settings for beginners? Universal "out of the box" settings: Matrix Core: Base Multiplier: 10 Source: close Phi Golden: Enabled, Power = 3 Pi Circular: Enabled, Multiple = 2 e Natural: Enabled, Power = 2 Delta Adaptive: Enabled, Base = 20, Sensitivity = 2.0 Manual Selection: Fast: Phi Golden Mid: e Natural Slow: Pi Circular Visualization: Gradient Clouds: ON Neon Glow: ON (Medium) Pulsing Bar: ON (Medium) Signal Highlights: ON (Light Fill) Table: ON (Top Right, Small) Signals: Golden/Death Cross: ON STRONG Signals: ON Stop Loss: OFF (while learning) Timeframe for learning: H1 or H4 5. Can I use only one EMA? No, minimum 2 EMAs (Fast and Slow) for signal generation. Mid EMA is optional: With Mid EMA = more reliable but rarer signals Without Mid EMA = more signals but less strict filtering Recommendation: Start with 3 EMAs (Fast/Mid/Slow), then experiment 6. Does the indicator work on cryptocurrencies? Yes, works excellently! Especially good on: Bitcoin (BTC) Ethereum (ETH) Major altcoins (SOL, BNB, XRP) Recommended settings for crypto: Fast: Delta Adaptive (Base 10-15, Sensitivity 2.5-3.0) Mid: Pi Circular (2Pi) Slow: e Natural (e²) Base: 5-10 Timeframe: M15, H1, H4 Crypto market features: High volatility → use Delta Adaptive 24/7 trading → set alerts Sharp movements → wide stops 7. Can I trade only with this indicator? Technically yes, but NOT recommended. Best approach - combine with: Price Action - support/resistance levels, candle patterns Volume - movement strength confirmation Fibonacci - retracement and extension levels RSI/MACD - divergences and overbought/oversold Fundamental analysis - news, company reports Hellenic Matrix: Excellently determines trend and its strength Provides clear entry/exit points Doesn't consider fundamentals Doesn't see major levels 8. Why do Gradient Clouds change color? Color depends on EMA order: Phi-Pi Cloud: Blue - Pi EMA above Phi EMA (bullish alignment) Gold - Phi EMA above Pi EMA (bearish alignment) Pi-e Cloud: Green - e EMA above Pi EMA (bullish alignment) Blue - Pi EMA above e EMA (bearish alignment) Color change = EMA order change = possible trend change 9. What is Momentum % in the table? Momentum % = percentage deviation of price from Fast EMA Formula: Momentum = ((Close - Fast EMA) / Fast EMA) × 100 Interpretation: +0.5% to +2% - normal bullish momentum +2% to +5% - strong bullish momentum +5% and above - overheating (correction possible) -0.5% to -2% - normal bearish momentum -2% to -5% - strong bearish momentum -5% and below - oversold (bounce possible) Usage: Monitor momentum during STRONG signals Large momentum = don't enter (wait for pullback) Small momentum = good entry point 10. How to configure for scalping? Settings for scalping (M1-M5): Base Multiplier: 3-5 Source: close or hlc3 (smoother) Fast: Delta Adaptive (Base 8-12, Sensitivity 3.0) Mid: None (for more signals) Slow: Phi Golden (Phi²) or Pi Circular (1Pi) Visualization: - Gradient Clouds: ON (helps see strength) - Neon Glow: OFF (doesn't clutter chart) - Pulsing Bar: ON (quick assessment) - Signal Highlights: ON Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: ON (1.0-1.5 ATR, R:R 1.5-2.0) Scalping rules: Trade only STRONG signals Enter on bounce from Fast EMA Tight stops (10-20 pips) Quick take profit (+1R to +2R) Don't hold through news 11. How to configure for long-term investing? Settings for investing (D1-W1): Base Multiplier: 20-30 Source: close Fast: Phi Golden (Phi³ or Phi⁴) Mid: e Natural (e²) Slow: Pi Circular (3Pi or 4Pi) Visualization: - Gradient Clouds: ON - Neon Glow: ON (Medium) - Everything else - to taste Signals: - Golden/Death Cross: ON - STRONG Signals: ON - Stop Loss: OFF (use percentage stop) Investing rules: Enter only on STRONG signals Hold while STRONG active (weeks/months) Stop below Slow EMA or -10% Take profit: by company targets or +50-100% Ignore short-term pullbacks 12. What if indicator slows down chart? Indicator is optimized, but if it slows: Disable unnecessary visual effects: Neon Glow: OFF (saves 8 plots) Gradient Clouds: ON but low quality Lambda Wave EMA: OFF (if not using) Reduce number of active EMAs: Sigma Composite: OFF Lambda Wave: OFF Leave only Phi, Pi, e, Delta Simplify settings: Pulsing Bar: OFF Greek Labels: OFF Info Table: smaller size 13. Can I use on different timeframes simultaneously? Yes! Multi-timeframe analysis is very powerful: Classic scheme: Higher TF (D1, W1) - determine global trend Wait for STRONG signal This is our trading direction Middle TF (H4, H1) - look for confirmation STRONG signal in same direction Precise entry zone Lower TF (M15, M5) - entry point Golden Cross or bounce from Fast EMA Precise stop loss Example: W1: STRONG BUY active (global uptrend) H4: STRONG BUY appeared (confirmation) M15: Wait for Golden Cross or bounce from Fast EMA → ENTRY Advantages: Maximum reliability Clear timeframe hierarchy Large targets 14. How does indicator work on news? Delta Adaptive EMA adapts excellently to news: Before news: Low volatility → Delta EMA becomes fast → pulls to price During news: Sharp volatility spike → Delta EMA slows → filters noise After news: Volatility normalizes → Delta EMA returns to normal Recommendations: Don't trade at news release moment (spreads widen) Wait for STRONG signal after news (2-5 bars) Use Delta Adaptive as Fast EMA for quick reaction Widen stops by 50-100% during important news Advanced Techniques Technique 1: "Divergences with EMA" Idea: Look for discrepancies between price and Fast EMA Bullish divergence: Price makes lower low Fast EMA makes higher low = Possible reversal up Bearish divergence: Price makes higher high Fast EMA makes lower high = Possible reversal down How to trade: Find divergence Wait for STRONG signal in divergence direction Enter on confirmation Technique 2: "EMA Tunnel" Idea: Use space between Fast and Slow EMA as "tunnel" Rules: Wide tunnel - strong trend, hold position Narrow tunnel - weak trend or consolidation, caution Tunnel narrowing - trend weakening, prepare to exit Tunnel widening - trend strengthening, can add Visually: Gradient Clouds show this automatically! Trading: Enter on STRONG signal (tunnel starts widening) Hold while tunnel wide Exit when tunnel starts narrowing Technique 3: "Wave Analysis with Lambda" Idea: Lambda Wave EMA creates sinusoid matching market cycles Setup: Lambda Base Period: 30 Lambda Wave Amplitude: 0.5 Lambda Wave Frequency: 50 (adjusted to asset cycle) How to find correct Frequency: Look at historical cycles (distance between local highs) Average distance = your Frequency Example: if highs every 40-60 bars, set Frequency = 50 Trading: Enter when Lambda Wave at bottom of sinusoid (growth potential) Exit when Lambda Wave at top (fall potential) Combine with STRONG signals Technique 4: "Cluster Analysis" Idea: When all EMAs gather in narrow cluster = powerful breakout soon Cluster signs: All EMAs (Phi, Pi, e, Delta) within 0.5-1% of each other Gradient Clouds almost invisible Price jumping around all EMAs Trading: Identify cluster (all EMAs close) Determine breakout direction (where more volume, higher TFs direction) Wait for breakout and STRONG signal Enter on confirmation Target = cluster size × 3-5 This is very powerful technique for big moves! Technique 5: "Sigma as Dynamic Level" Idea: Sigma Composite EMA = average of all EMAs = magnetic level Usage: Enable Sigma Composite (Weighted Average) Sigma works as dynamic support/resistance Price often returns to Sigma before trend continuation Trading: In trend: Enter on bounces from Sigma In range: Fade moves from Sigma (trade return to Sigma) On breakout: Sigma becomes support/resistance Risk Management Basic Rules 1. Position Size Conservative: 1% of capital per trade Moderate: 2% of capital per trade (recommended) Aggressive: 3-5% (only for experienced) Calculation formula: Lot Size = (Capital × Risk%) / (Stop in pips × Pip value) 2. Risk/Reward Ratio Minimum: 1:1.5 Standard: 1:2 (recommended) Optimal: 1:3 Aggressive: 1:5+ 3. Maximum Drawdown Daily: -3% to -5% Weekly: -7% to -10% Monthly: -15% to -20% Upon reaching limit → STOP trading until end of period Position Management Strategies 1. Fixed Stop Method: Stop below/above Fast EMA or local extreme DON'T move stop against position Can move to breakeven For whom: Beginners, conservative traders 2. Trailing by Fast EMA Method: Each day (or bar) move stop to Fast EMA level Position closes when price breaks Fast EMA Advantages: Stay in trend as long as possible Automatically exit on reversal For whom: Trend followers, swing traders 3. Partial Exit Method: 50% of position close at +2R 50% hold with trailing by Mid EMA or Slow EMA Advantages: Lock profit Leave position for big move Psychologically comfortable For whom: Universal method (recommended) 4. Pyramiding Method: First entry on STRONG signal (50% of planned position) Add 25% on pullback to Fast EMA Add another 25% on pullback to Mid EMA Overall stop below Slow EMA Advantages: Average entry price Reduce risk Increase profit in strong trends Caution: Works only in trends In range leads to losses For whom: Experienced traders Trading Psychology Correct Mindset 1. Indicator is a tool, not holy grail Indicator shows probability, not guarantee There will be losing trades - this is normal Important is series statistics, not one trade 2. Trust the system If STRONG signal appeared - enter Don't search for "perfect" moment Follow trading plan 3. Patience STRONG signals don't appear every day Better miss signal than enter against trend Quality over quantity 4. Discipline Always set stop loss Don't move stop against position Don't increase risk after losses Beginner Mistakes 1. "I know better than indicator" Indicator says STRONG BUY, but you think "too high, will wait for pullback" Result: miss profitable move Solution: Trust signals or don't use indicator 2. "Will reverse now for sure" Trading against STRONG trend Result: stops, stops, stops Solution: Trend is your friend, trade with trend 3. "Will hold a bit more" Don't exit when STRONG signal disappears Greed eats profit Solution: If signal gone - exit! 4. "I'll recover" After losses double risk Result: huge losses Solution: Fixed % risk ALWAYS 5. "I don't like this signal" Skip signals because of "feeling" Result: inconsistency, no statistics Solution: Trade ALL signals or clearly define filters Trading Journal What to Record For each trade: 1. Entry/exit date and time 2. Instrument and timeframe 3. Signal type Golden Cross STRONG BUY STRONG SELL Death Cross 4. Indicator settings Fast/Mid/Slow EMA Base Multiplier Other parameters 5. Chart screenshot Entry moment Exit moment 6. Trade parameters Position size Stop loss Take Profit R:R 7. Result Profit/Loss in $ Profit/Loss in % Profit/Loss in R 8. Notes What was right What was wrong Emotions during trade Lessons Journal Analysis Analyze weekly: 1. Win Rate Win Rate = (Profitable trades / All trades) × 100% Good: 50-60% Excellent: 60-70% Exceptional: 70%+ 2. Average R Average R = Sum of all R / Number of trades Good: +0.5R Excellent: +1.0R Exceptional: +1.5R+ 3. Profit Factor Profit Factor = Total profit / Total losses Good: 1.5+ Excellent: 2.0+ Exceptional: 3.0+ 4. Maximum Drawdown Track consecutive losses If more than 5 in row - stop, check system 5. Best/Worst Trades What was common in best trades? (do more) What was common in worst trades? (avoid) Pre-Trade Checklist Technical Analysis STRONG signal active (BUY or SELL) All EMAs properly aligned (Fast > Mid > Slow or reverse) Price on correct side of Fast EMA Gradient Clouds confirm trend Pulsing Bar shows STRONG state Momentum % in normal range (not overheated) No close strong levels against direction Higher timeframe doesn't contradict Risk Management Position size calculated (1-2% risk) Stop loss set Take profit calculated (minimum 1:2) R:R satisfactory Daily/weekly risk limit not exceeded No other open correlated positions Fundamental Analysis No important news in coming hours Market session appropriate (liquidity) No contradicting fundamentals Understand why asset is moving Psychology Calm and thinking clearly No emotions from previous trades Ready to accept loss at stop Following trading plan Not revenging market for past losses If at least one point is NO - think twice before entering! Learning Roadmap Week 1: Familiarization Goals: Install and configure indicator Study all EMA types Understand visualization Tasks: Add indicator to chart Test all Fast/Mid/Slow settings Play with Base Multiplier on different timeframes Observe Gradient Clouds and Pulsing Bar Study Info Table Result: Comfort with indicator interface Week 2: Signals Goals: Learn to recognize all signal types Understand difference between Golden Cross and STRONG Tasks: Find 10 Golden Cross examples in history Find 10 STRONG BUY examples in history Compare their results (which worked better) Set up alerts Get 5 real alerts Result: Understanding signals Week 3: Demo Trading Goals: Start trading signals on demo account Gather statistics Tasks: Open demo account Trade ONLY STRONG signals Keep journal (minimum 20 trades) Don't change indicator settings Strictly follow stop losses Result: 20+ documented trades Week 4: Analysis Goals: Analyze demo trading results Optimize approach Tasks: Calculate win rate and average R Find patterns in profitable trades Find patterns in losing trades Adjust approach (not indicator!) Write trading plan Result: Trading plan on 1 page Month 2: Improvement Goals: Deepen understanding Add additional techniques Tasks: Study multi-timeframe analysis Test combinations with Price Action Try advanced techniques (divergences, tunnels) Continue demo trading (minimum 50 trades) Achieve stable profitability on demo Result: Win rate 55%+ and Profit Factor 1.5+ Month 3: Real Trading Goals: Transition to real account Maintain discipline Tasks: Open small real account Trade minimum lots Strictly follow trading plan DON'T increase risk Focus on process, not profit Result: Psychological comfort on real Month 4+: Scaling Goals: Increase account Become consistently profitable Tasks: With 60%+ win rate can increase risk to 2% Upon doubling account can add capital Continue keeping journal Periodically review and improve strategy Share experience with community Result: Stable profitability month after month Additional Resources Recommended Reading Technical Analysis: "Technical Analysis of Financial Markets" - John Murphy "Trading in the Zone" - Mark Douglas (psychology) "Market Wizards" - Jack Schwager (trader interviews) EMA and Moving Averages: "Moving Averages 101" - Steve Burns Articles on Investopedia about EMA Risk Management: "The Mathematics of Money Management" - Ralph Vince "Trade Your Way to Financial Freedom" - Van K. Tharp Trading Journals: Edgewonk (paid, very powerful) Tradervue (free version + premium) Excel/Google Sheets (free) Screeners: TradingView Stock Screener Finviz (stocks) CoinMarketCap (crypto) Conclusion Hellenic EMA Matrix is a powerful tool based on universal mathematical constants of nature. The indicator combines: Mathematical elegance - Phi, Pi, e instead of arbitrary numbers Premium visualization - Neon Glow, Gradient Clouds, Pulsing Bar Reliable signals - STRONG BUY/SELL work on all timeframes Flexibility - 6 EMA types, adaptation to any trading style Automation - auto-sorting EMAs, SL/TP calculation, alerts Key Success Principles: Simplicity - start with basic settings (Phi/Pi/e, Base=10) Discipline - follow STRONG signals strictly Patience - wait for quality setups Risk Management - 1-2% per trade, ALWAYS Journal - document every trade Learning - constantly improve skills Remember: Indicator shows probability, not guarantee Important is series statistics, not one trade Psychology more important than technique Quality more important than quantity Process more important than result Acknowledgments Thank you for using Hellenic EMA Matrix - Alpha Omega Premium! The indicator was created with love for mathematics, markets, and beautiful visualization. Wishing you profitable trading! Guide Version: 1.0 Date: 2025 Compatibility: Pine Script v6, TradingView "In the simplicity of mathematical constants lies the complexity of market movements"
Pine Script® Indikator
von Sesilya
SevenDayHighLowTableWithBoxes [CHE]SevenDayHighLowTableWithBoxes — Seven-day day-range boxes with a weekday-aware “ghost” projection and a compact table that tracks recent extremes and per-weekday hit rates. Summary This indicator visualizes each trading day as a colored box and annotates the final high and low with compact markers. It maintains a rolling seven-day view and a five-column table showing day name, high, low, range, and a per-weekday projection hit statistic. A dashed “ghost” box projects a typical range for the current weekday using a running average and an adjustable scaling factor. The script is written in Pine v6, runs on the main chart (overlay true), and emphasizes stable object handling and closed-bar finalization at day boundaries. Motivation: Why this design? Intraday traders often need fast context for where today’s price sits relative to recent daily extremes, without switching timeframes. A simple daily high/low overlay is informative but lacks structure, sizing context, and continuity. By grouping bars into local days (configurable UTC offset), drawing explicit boxes, and projecting a weekday-typical range, the chart becomes easier to scan. The compact table gives a quick audit trail of the latest seven days while tracking how often the weekday projection would have covered the realized range. What’s different vs. standard approaches? Reference baseline: Plain daily high/low lines or session boxes without context. Architecture differences: Weekday-tinted boxes and labels for today plus up to six prior days. Weekday average range drives a dashed projection (“ghost”) sized by a user-defined percentage. Per-weekday hit statistics recorded as hits over totals and displayed in the table. ATR-based vertical offsets keep labels readable. Live updates intraday; state is finalized at the local day switch. Practical effect: The chart shows where current price sits inside a known daily envelope, plus how “typical” the day’s movement is for this weekday, aiding expectations and planning. How it works (technical) The script computes a local daily timestamp using the user’s UTC offset. A day change finalizes the prior day, writes its high, low, start and end indices, and records the bar indices of the terminal high and low. For each weekday, it maintains a running average of realized ranges with a cap on the lookback count. The ghost projection length is the weekday average scaled by the user’s percentage setting. Anchor selection for the ghost uses the most recent extreme and the close relative to the intraday midpoint to choose a low-anchored or high-anchored box. A five-column table (Day, High, Low, Range, Ghost OK) is refreshed on the last bar. The “Ghost OK” column shows per-weekday cumulative hits over totals with a percentage, calculated before including the just-finished day. Object counts are bounded to seven days by pruning arrays and deleting old boxes and labels. Visual updates for historical objects occur on the last bar to minimize overhead. No `security()` calls are used. Parameter Guide UTC (+/−) — Controls local day boundaries — Default: minus five hours — Set to your venue’s local time. Session (for Time gate) — Session string — Default: full week — (Optional) computed internally; not applied to gating. Show 7-Day High/Low Table — Toggles the table — Default: true — Disable to reduce UI load. Show Day Boxes in Chart — Toggles day boxes — Default: true — Disable for a cleaner chart. Table Position — Nine-point anchor — Default: Middle Right — Move to avoid overlap. Table Background / Text Color / Min Cell Width — Styling controls — Defaults: gray background, white text, width twelve characters. Weekday Colors (Sun…Sat) — Row and box tints — Defaults: semi-transparent hues — Adjust for your theme. Triangle Transparency — Marker opacity — Default: zero — Increase to fade high/low dots. Day Label Transparency — Day name opacity — Default: zero — Increase to reduce emphasis. Box Border Width — Box stroke width — Default: one — Increase for stronger edges. Extend Boxes Right — Extend current box — Default: false — Useful for forward planning. Show Average Range Ghost Box — Dashed projection — Default: true — Disable if distracting. Ghost Border Color / Width — Ghost styling — Defaults: gray, width one. Ghost Length percent of AvgRange — Projection scale — Default: one hundred; bounds zero to five hundred — Lower to be conservative. Max History Days for Average — Cap per-weekday averaging — Default: two hundred fifty-two; bounds thirty to five hundred. ATR Length / Day Label ATR Multiplier / Triangle Up ATR Multiplier / Triangle Down ATR Multiplier — Offsets for label placement — Defaults: length one hundred; multipliers zero — Increase on dense instruments to prevent overlap. Reading & Interpretation Day boxes: The filled rectangle marks each day’s full high-low span; color encodes the weekday. Markers: Small dots near the terminal high and low highlight where the final extremes occurred. Ghost box: A dashed box sized by the weekday average range, anchored based on recent behavior. It is a typical span, not a target. Table: Row one shows “Today”. Rows below list up to six prior days. “Ghost OK” shows per-weekday cumulative hits over totals with a percentage, which reflects historical coverage quality for that weekday. Practical Workflows & Combinations Trend following: Use the current box plus recent boxes to read expansion or compression days; combine with basic structure such as higher-highs and higher-lows or lower-lows and lower-highs for confirmation. Exits and risk: When price nears the ghost boundary late in the session, consider managing exposure more conservatively. Multi-asset and multi-timeframe: Works on minute charts. As a starting point, use five to less than sixty minutes. For cross-checks, pair with a higher timeframe bias filter. Behavior, Constraints & Performance Repaint/confirmation: The indicator updates intraday; extremes and ghost position can move while the day is open. Values are finalized on the next local day start. HTF/security: None used; repaint risk is limited to live-bar movement. Resources: `max_bars_back` five thousand; arrays are pruned to seven days; the table and color sync run on the last bar; the live ghost updates only in real time. Known limits: Weekday averages can be unrepresentative during regime shifts, events, or gaps. Day boundaries depend on the UTC offset being set correctly. No alerts are included. The script displays warning labels when the timeframe is below five minutes or at sixty minutes and above. Sensible Defaults & Quick Tuning Start with the defaults. Ghost too aggressive: Lower the percent scale. Labels overlap: Increase ATR multipliers. Clutter or performance issues: Hide the table or boxes, or disable the ghost. Day boundary misaligned: Adjust the UTC offset to your market. What this indicator is—and isn’t This is a visualization and context layer for daily extremes and a weekday-based typical span. It does not predict direction, does not manage orders, and is not a complete trading system. Use it alongside market structure, risk controls, and position management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® Indikator
von chervolino
cd_correlation_analys_Cxcd_correlation_analys_Cx General: This indicator is designed for correlation analysis by classifying stocks (487 in total) and indices (14 in total) traded on Borsa İstanbul (BIST) on a sectoral basis. Tradingview's sector classifications (20) have been strictly adhered to for sector grouping. Depending on user preference, the analysis can be performed within sectors, between sectors, or manually (single asset). Let me express my gratitude to the code author, @fikira, beforehand; you will find the reason for my thanks in the context. Details: First, let's briefly mention how this indicator could have been prepared using the classic method before going into details. Classically, assets could be divided into groups of forty (40), and the analysis could be performed using the built-in function: ta.correlation(source1, source2, length) → series float. I chose sectoral classification because I believe there would be a higher probability of assets moving together, rather than using fixed-number classes. In this case, 21 arrays were formed with the following number of elements: (3, 11, 21, 60, 29, 20, 12, 3, 31, 5, 10, 11, 6, 48, 73, 62, 16, 19, 13, 34 and indices (14)). However, you might have noticed that some arrays have more than 40 elements. This is exactly where @Fikira's indicator came to the rescue. When I examined their excellent indicator, I saw that it could process 120 assets in a single operation. (I believe this was the first limit overrun; thanks again.) It was amazing to see that data for 3 pairs could be called in a single request using a special method. You can find the details here: When I adapted it for BIST, I found it sufficient to call data for 2 pairs instead of 3 in a single go. Since asset prices are regular and have 2 decimal places, I used a fixed multiplier of $10^8$ and a fixed decimal count of 2 in Fikira's formulas. With this method, the (high, low, open, close) values became accessible for each asset. The summary up to this point is that instead of the ready-made formula + groups of 40, I used variable-sized groups and the method I will detail now. Correlation/harmony/co-movement between assets provides advantages to market participants. Coherent assets are expected to rise or fall simultaneously. Therefore, to convert co-movement into a mathematical value, I defined the possible movements of the current candle relative to the previous candle bar over a certain period (user-defined). These are: Up := high > high and low > low Down := high < high and low < low Inside := high <= high and low >= low Outside := high >= high and low <= low and NOT Inside. Ignore := high = low = open = close If both assets performed the same movement, 1 was added to the tracking counter. If (Up-Up), (Down-Down), (Inside-Inside), or (Outside-Outside), then counter := counter + 1. If the period length is 100 and the counter is 75, it means there is 75% co-movement. Corr = counter / period ($75/100$) Average = ta.sma(Corr, 100) is obtained. The highest coefficients recorded in the array are presented to the user in a table. From the user menu options, the user can choose to compare: • With assets in its own sector • With assets in the selected sector • By activating the confirmation box and manually entering a single asset for comparison. Table display options can be adjusted from the Settings tab. In the attached examples: Results for AKBNK stock from the Finance sector compared with GARAN stock from the same sector: Timeframe: Daily, Period: 50 => Harmony 76% (They performed the same movement in 38 out of 50 bars) Comment: Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT). Looking at ASELS from the Electronic Technology sector over the last 30 daily candles, they performed the same movements by 40% with XU100, 73.3% (22/30) with XUTEK (Technology Index), and 86.9% according to the averages. Comment: It is more appropriate to follow ASELS stock with XUTEK (Technology index) instead of the general index (XU100). Opposite movements at swing high and low levels may indicate a change in the direction of the price flow (SMT). Again, when ASELS stock is taken on H1 instead of daily, and the length is 100 instead of 30, the harmony rate is seen to be 87%. Please share your thoughts and criticisms regarding the indicator, which I prepared with a bit of an educational purpose specifically for BIST. Happy trading.
Pine Script® Indikator
von cdikici71
2
Forecast PriceTime Oracle [CHE] Forecast PriceTime Oracle — Prioritizes quality over quantity by using Power Pivots via RSI %B metric to forecast future pivot highs/lows in price and time Summary This indicator identifies potential pivot highs and lows based on out-of-bounds conditions in a modified RSI %B metric, then projects future occurrences by estimating time intervals and price changes from historical medians. It provides visual forecasts via diagonal and horizontal lines, tracks achievement with color changes and symbols, and displays a dashboard for statistical overview including hit rates. Signals are robust due to median-based aggregation, which reduces outlier influence, and optional tolerance settings for near-misses, making it suitable for anticipating reversals in ranging or trending markets. Motivation: Why this design? Standard pivot detection often lags or generates false signals in volatile conditions, missing the timing of true extrema. This design leverages out-of-bounds excursions in RSI %B to capture "Power Pivots" early—focusing on quality over quantity by prioritizing significant extrema rather than every minor swing—then uses historical deltas in time and price to forecast the next ones, addressing the need for proactive rather than reactive analysis. It assumes that pivot spacing follows statistical patterns, allowing users to prepare entries or exits ahead of confirmation. What’s different vs. standard approaches? - Reference baseline: Diverges from traditional ta.pivothigh/low, which require fixed left/right lengths and confirm only after bars close, often too late for dynamic markets. - Architecture differences: - Detects extrema during OOB runs rather than post-bar symmetry. - Aggregates deltas via medians (or alternatives) over a user-defined history, capping arrays to manage resources. - Applies tolerance thresholds for hit detection, with options for percentage, absolute, or volatility-adjusted (ATR) flexibility. - Freezes achieved forecasts with visual states to avoid clutter. - Practical effect: Charts show proactive dashed projections instead of retrospective dots; the dashboard reveals evolving hit rates, helping users gauge reliability over time without manual calculation. How it works (technical) The indicator first computes a smoothed RSI over a specified length, then applies Bollinger Bands to derive %B, flagging out-of-bounds below zero or above one hundred as potential run starts. During these runs, it tracks the extreme high or low price and bar index. Upon exit from the OOB state, it confirms the Power Pivot at that extreme and records the time delta (bars since prior) and price change percentage to rolling arrays. For forecasts, it calculates the median (or selected statistic) of recent deltas, subtracts the confirmation delay (bars from apex to exit), and projects ahead by that adjusted amount. Price targets use the median change applied to the origin pivot value. Lines are drawn from the apex to the target bar and price, with a short horizontal at the endpoint. Arrays store up to five active forecasts, pruning oldest on overflow. Tolerance adjusts hit checks: for highs, if the high reaches or exceeds the target (adjusted by tolerance); for lows, if the low drops to or below. Once hit, the forecast freezes, changing colors and symbols, and extends the horizontal to the hit bar. Persistent variables maintain last pivot states across bars; arrays initialize empty and grow until capped at history length. Parameter Guide Source: Specifies the data input for the RSI computation, influencing how price action is captured. Default is close. For conservative signals in noisy environments, switch to high; using low boosts responsiveness but may increase false positives. RSI Length: Sets the smoothing period for the RSI calculation, with longer values helping to filter out whipsaws. Default is 32. Opt for shorter lengths like 14 to 21 on faster timeframes for quicker reactions, or extend to 50 or more in strong trends to enhance stability at the cost of some lag. BB Length: Defines the period for the Bollinger Bands applied to %B, directly affecting how often out-of-bounds conditions are triggered. Default is 20. Align it with the RSI length: shorter periods detect more potential runs but risk added noise, while longer ones provide better filtering yet might overlook emerging extrema. BB StdDev: Controls the multiplier for the standard deviation in the bands, where wider settings reduce false out-of-bounds alerts. Default is 2.0. Narrow it to 1.5 for highly volatile assets to catch more signals, or broaden to 2.5 or higher to emphasize only major movements. Show Price Forecast: Enables or disables the display of diagonal and target lines along with their updates. Default is true. Turn it off for simpler chart views, or keep it on to aid in trade planning. History Length: Determines the number of recent pivot samples used for median-based statistics, where more history leads to smoother but potentially less current estimates. Default is 50. Start with a minimum of 5 to build data; limit to 100 to 200 to prevent outdated regimes from skewing results. Max Lookahead: Limits the number of bars projected forward to avoid overly extended lines. Default is 500. Reduce to 100 to 200 for intraday focus, or increase for longer swing horizons. Stat Method: Selects the aggregation technique for time and price deltas: Median for robustness against outliers, Trimmed Mean (20%) for a balanced trim of extremes, or 75th Percentile for a conservative upward tilt. Default is Median. Use Median for even distributions; switch to Percentile when emphasizing potential upside in trending conditions. Tolerance Type: Chooses the approach for flexible hit detection: None for exact matches, Percentage for relative adjustments, Absolute for fixed point offsets, or ATR for scaling with volatility. Default is None. Begin with Percentage at 0.5 percent for currency pairs, or ATR for adapting to cryptocurrency swings. Tolerance %: Provides the relative buffer when using Percentage mode, forgiving small deviations. Default is 0.5. Set between 0.2 and 1.0 percent; higher values accommodate gaps but can overstate hit counts. Tolerance Points: Establishes a fixed offset in price units for Absolute mode. Default is 0.0010. Tailor to the asset, such as 0.0001 for forex pairs, and validate against past wick behavior. ATR Length: Specifies the period for the Average True Range in dynamic tolerance calculations. Default is 14. This is the standard setting; shorten to 10 to reflect more recent volatility. ATR Multiplier: Adjusts the ATR scale for tolerance width in ATR mode. Default is 0.5. Range from 0.3 for tighter precision to 0.8 for greater leniency. Dashboard Location: Positions the summary table on the chart. Default is Bottom Right. Consider Top Left for better visibility on mobile devices. Dashboard Size: Controls the text scaling for dashboard readability. Default is Normal. Choose Tiny for dense overlays or Large for detailed review sessions. Text/Frame Color: Sets the color scheme for dashboard text and borders. Default is gray. Align with your chart theme, opting for lighter shades on dark backgrounds. Reading & Interpretation Forecast lines appear as dashed diagonals from confirmed pivots to projected targets, with solid horizontals at endpoints marking price levels. Open targets show a target symbol (🎯); achieved ones switch to a trophy symbol (🏆) in gray, with lines fading to gray. The dashboard summarizes median time/price deltas, sample counts, and hit rates—rising rates indicate improving forecast alignment. Colors differentiate highs (red) from lows (lime); frozen states signal validated projections. Practical Workflows & Combinations - Trend following: Enter long on low forecast hits during uptrends (higher highs/lower lows structure); filter with EMA crossovers to ignore counter-trend signals. - Reversal setups: Short above high projections in overextended rallies; use volume spikes as confirmation to reduce false breaks. - Exits/Stops: Trail stops to prior pivot lows; conservative on low hit rates (below 50%), aggressive above 70% with tight tolerance. - Multi-TF: Apply on 1H for entries, 4H for time projections; combine with Ichimoku clouds for confluence on targets. - Risk management: Position size inversely to delta uncertainty (wider history = smaller bets); avoid low-liquidity sessions. Behavior, Constraints & Performance Confirmation occurs on OOB exit, so live-bar pivots may adjust until close, but projections update only on events to minimize repaint. No security or HTF calls, so no external lookahead issues. Arrays cap at history length with shifts; forecasts limited to five active, pruning FIFO. Loops iterate over small fixed sizes (e.g., up to 50 for stats), efficient on most hardware. Max lines/labels at 500 prevent overflow. Known limits: Sensitive to OOB parameter tuning—too tight misses runs; assumes stationary pivot stats, which may shift in regime changes like low vol. Gaps or holidays distort time deltas. Sensible Defaults & Quick Tuning Defaults suit forex/crypto on 1H–4H: RSI 32/BB 20 for balanced detection, Median stats over 50 samples, None tolerance for exactness. - Too many false runs: Increase BB StdDev to 2.5 or RSI Length to 50 for filtering. - Lagging forecasts: Shorten History Length to 20; switch to 75th Percentile for forward bias. - Missed near-hits: Enable Percentage tolerance at 0.3% to capture wicks without overcounting. - Cluttered charts: Reduce Max Lookahead to 200; disable dashboard on lower TFs. What this indicator is—and isn’t This is a forecasting visualization layer for pivot-based analysis, highlighting statistical projections from historical patterns. It is not a standalone system—pair with price action, volume, and risk rules. Not predictive of all turns; focuses on OOB-derived extrema, ignoring volume or news impacts. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Pine Script® Indikator
von chervolino
Luxy Momentum, Trend, Bias and Breakout Indicators V7 TABLE OF CONTENTS This is Version 7 (V7) - the latest and most optimized release. If you are using any older versions (V6, V5, V4, V3, etc.), it is highly recommended to replace them with V7. Why This Indicator is Different Who Should Use This Core Components Overview The UT Bot Trading System Understanding the Market Bias Table Candlestick Pattern Recognition Visual Tools and Features How to Use the Indicator Performance and Optimization FAQ --- ### CREDITS & ATTRIBUTION This indicator implements proven trading concepts using entirely original code developed specifically for this project. ### CONCEPTUAL FOUNDATIONS • UT Bot ATR Trailing System - Original concept by @QuantNomad: (search "UT-Bot-Strategy" - Our version is a complete reimplementation with significant enhancements: - Volume-weighted momentum adjustment - Composite stop loss from multiple S/R layers - Multi-filter confirmation system (swing, %, 2-bar, ZLSMA) - Full integration with multi-timeframe bias table - Visual audit trail with freeze-on-touch - NOTE: No code was copied - this is a complete reimplementation with enhancements. • Standard Technical Indicators (Public Domain Formulas): - Supertrend: ATR-based trend calculation with custom gradient fills - MACD: Gerald Appel's formula with separation filters - RSI: J. Welles Wilder's formula with pullback zone logic - ADX/DMI: Custom trend strength formula inspired by Wilder's directional movement concept, reimplemented with volume weighting and efficiency metrics - ZLSMA: Zero-lag formula enhanced with Hull MA and momentum prediction ### Custom Implementations - Trend Strength: Inspired by Wilder's ADX concept but using volume-weighted pressure calculation and efficiency metrics (not traditional +DI/-DI smoothing) - All code implementations are original ### ORIGINAL FEATURES (70%+ of codebase) - Multi-Timeframe Bias Table with live updates - Risk Management System (R-multiple TPs, freeze-on-touch) - Opening Range Breakout tracker with session management - Composite Stop Loss calculator using 6+ S/R layers - Performance optimization system (caching, conditional calcs) - VIX Fear Index integration - Previous Day High/Low auto-detection - Candlestick pattern recognition with interactive tooltips - Smart label and visual management - All UI/UX design and table architecture ### DEVELOPMENT PROCESS **AI Assistance:** This indicator was developed over 2+ months with AI assistance (ChatGPT/Claude) used for: - Writing Pine Script code based on design specifications - Optimizing performance and fixing bugs - Ensuring Pine Script v6 compliance - Generating documentation **Author's Role:** All trading concepts, system design, feature selection, integration logic, and strategic decisions are original work by the author. The AI was a coding tool, not the system designer. **Transparency:** We believe in full disclosure - this project demonstrates how AI can be used as a powerful development tool while maintaining creative and strategic ownership. --- 1. WHY THIS INDICATOR IS DIFFERENT Most traders use multiple separate indicators on their charts, leading to cluttered screens, conflicting signals, and analysis paralysis. The Suite solves this by integrating proven technical tools into a single, cohesive system. Key Advantages: All-in-One Design: Instead of loading 5-10 separate indicators, you get everything in one optimized script. This reduces chart clutter and improves TradingView performance. Multi-Timeframe Bias Table: Unlike standard indicators that only show the current timeframe, the Bias Table aggregates trend signals across multiple timeframes simultaneously. See at a glance whether 1m, 5m, 15m, 1h are aligned bullish or bearish - no more switching between charts. Smart Confirmations: The indicator doesn't just give signals - it shows you WHY. Every entry has multiple layers of confirmation (MA cross, MACD momentum, ADX strength, RSI pullback, volume, etc.) that you can toggle on/off. Dynamic Stop Loss System: Instead of static ATR stops, the SL is calculated from multiple support/resistance layers: UT trailing line, Supertrend, VWAP, swing structure, and MA levels. This creates more intelligent, price-action-aware stops. R-Multiple Take Profits: Built-in TP system calculates targets based on your initial risk (1R, 1.5R, 2R, 3R). Lines freeze when touched with visual checkmarks, giving you a clean audit trail of partial exits. Educational Tooltips Everywhere: Every single input has detailed tooltips explaining what it does, typical values, and how it impacts trading. You're not guessing - you're learning as you configure. Performance Optimized: Smart caching, conditional calculations, and modular design mean the indicator runs fast despite having 15+ features. Turn off what you don't use for even better performance. No Repainting: All signals respect bar close. Alerts fire correctly. What you see in history is what you would have gotten in real-time. What Makes It Unique: Integrated UT Bot + Bias Table: No other indicator combines UT Bot's ATR trailing system with a live multi-timeframe dashboard. You get precision entries with macro trend context. Candlestick Pattern Recognition with Interactive Tooltips: Patterns aren't just marked - hover over any emoji for a full explanation of what the pattern means and how to trade it. Opening Range Breakout Tracker: Built-in ORB system for intraday traders with customizable session times and real-time status updates in the Bias Table. Previous Day High/Low Auto-Detection: Automatically plots PDH/PDL on intraday charts with theme-aware colors. Updates daily without manual input. Dynamic Row Labels in Bias Table: The table shows your actual settings (e.g., "EMA 10 > SMA 20") not generic labels. You know exactly what's being evaluated. Modular Filter System: Instead of forcing a fixed methodology, the indicator lets you build your own strategy. Start with just UT Bot, add filters one at a time, test what works for your style. --- 2. WHO WHOULD USE THIS Designed For: Intermediate to Advanced Traders: You understand basic technical analysis (MAs, RSI, MACD) and want to combine multiple confirmations efficiently. This isn't a "one-click profit" system - it's a professional toolkit. Multi-Timeframe Traders: If you trade one asset but check multiple timeframes for confirmation (e.g., enter on 5m after checking 15m and 1h alignment), the Bias Table will save you hours every week. Trend Followers: The indicator excels at identifying and following trends using UT Bot, Supertrend, and MA systems. If you trade breakouts and pullbacks in trending markets, this is built for you. Intraday and Swing Traders: Works equally well on 5m-1h charts (day trading) and 4h-D charts (swing trading). Scalpers can use it too with appropriate settings adjustments. Discretionary Traders: This isn't a black-box system. You see all the components, understand the logic, and make final decisions. Perfect for traders who want tools, not automation. Works Across All Markets: Stocks (US, international) Cryptocurrency (24/7 markets supported) Forex pairs Indices (SPY, QQQ, etc.) Commodities NOT Ideal For : Complete Beginners: If you don't know what a moving average or RSI is, start with basics first. This indicator assumes foundational knowledge. Algo Traders Seeking Black Box: This is discretionary. Signals require context and confirmation. Not suitable for blind automated execution. Mean-Reversion Only Traders: The indicator is trend-following at its core. While VWAP bands support mean-reversion, the primary methodology is trend continuation. --- 3. CORE COMPONENTS OVERVIEW The indicator combines these proven systems: Trend Analysis: Moving Averages: Four customizable MAs (Fast, Medium, Medium-Long, Long) with six types to choose from (EMA, SMA, WMA, VWMA, RMA, HMA). Mix and match for your style. Supertrend: ATR-based trend indicator with unique gradient fill showing trend strength. One-sided ribbon visualization makes it easier to see momentum building or fading. ZLSMA : Zero-lag linear-regression smoothed moving average. Reduces lag compared to traditional MAs while maintaining smooth curves. Momentum & Filters: MACD: Standard MACD with separation filter to avoid weak crossovers. RSI: Pullback zone detection - only enter longs when RSI is in your defined "buy zone" and shorts in "sell zone". ADX/DMI: Trend strength measurement with directional filter. Ensures you only trade when there's actual momentum. Volume Filter: Relative volume confirmation - require above-average volume for entries. Donchian Breakout: Optional channel breakout requirement. Signal Systems: UT Bot: The primary signal generator. ATR trailing stop that adapts to volatility and gives clear entry/exit points. Base Signals: MA cross system with all the above filters applied. More conservative than UT Bot alone. Market Bias Table: Multi-timeframe dashboard showing trend alignment across 7 timeframes plus macro bias (3-day, weekly, monthly, quarterly, VIX). Candlestick Patterns: Six major reversal patterns auto-detected with interactive tooltips. ORB Tracker: Opening range high/low with breakout status (intraday only). PDH/PDL: Previous day levels plotted automatically on intraday charts. VWAP + Bands : Session-anchored VWAP with up to three standard deviation band pairs. --- 4. THE UT BOT TRADING SYSTEM The UT Bot is the heart of the indicator's signal generation. It's an advanced ATR trailing stop that adapts to market volatility. Why UT Bot is Superior to Fixed Stops: Traditional ATR stops use a fixed multiplier (e.g., "stop = entry - 2×ATR"). UT Bot is smarter: It TRAILS the stop as price moves in your favor It WIDENS during high volatility to avoid premature stops It TIGHTENS during consolidation to lock in profits It FLIPS when price breaks the trailing line, signaling reversals Visual Elements You'll See: Orange Trailing Line: The actual UT stop level that adapts bar-by-bar Buy/Sell Labels: Aqua triangle (long) or orange triangle (short) when the line flips ENTRY Line: Horizontal line at your entry price (optional, can be turned off) Suggested Stop Loss: A composite SL calculated from multiple support/resistance layers: - UT trailing line - Supertrend level - VWAP - Swing structure (recent lows/highs) - Long-term MA (200) - ATR-based floor Take Profit Lines: TP1, TP1.5, TP2, TP3 based on R-multiples. When price touches a TP, it's marked with a checkmark and the line freezes for audit trail purposes. Status Messages: "SL Touched ❌" or "SL Frozen" when the trade leg completes. How UT Bot Differs from Other ATR Systems: Multiple Filters Available: You can require 2-bar confirmation, minimum % price change, swing structure alignment, or ZLSMA directional filter. Most UT implementations have none of these. Smart SL Calculation: Instead of just using the UT line as your stop, the indicator suggests a better SL based on actual support/resistance. This prevents getting stopped out by wicks while keeping risk controlled. Visual Audit Trail: All SL/TP lines freeze when touched with clear markers. You can review your trades weeks later and see exactly where entries, stops, and targets were. Performance Options: "Draw UT visuals only on bar close" lets you reduce rendering load without affecting logic or alerts - critical for slower machines or 1m charts. Trading Logic: UT Bot flips direction (Buy or Sell signal appears) Check Bias Table for multi-timeframe confirmation Optional: Wait for Base signal or candlestick pattern Enter at signal bar close or next bar open Place stop at "Suggested Stop Loss" line Scale out at TP levels (TP1, TP2, TP3) Exit remaining position on opposite UT signal or stop hit --- 5. UNDERSTANDING THE MARKET BIAS TABLE This is the indicator's unique multi-timeframe intelligence layer. Instead of looking at one chart at a time, the table aggregates signals across seven timeframes plus macro trend bias. Why Multi-Timeframe Analysis Matters: Professional traders check higher and lower timeframes for context: Is the 1h uptrend aligning with my 5m entry? Are all short-term timeframes bullish or just one? Is the daily trend supportive or fighting me? Doing this manually means opening multiple charts, checking each indicator, and making mental notes. The Bias Table does it automatically in one glance. Table Structure: Header Row: On intraday charts: 1m, 5m, 15m, 30m, 1h, 2h, 4h (toggle which ones you want) On daily+ charts: D, W, M (automatic) Green dot next to title = live updating Headline Rows - Macro Bias: These show broad market direction over longer periods: 3 Day Bias: Trend over last 3 trading sessions (uses 1h data) Weekly Bias: Trend over last 5 trading sessions (uses 4h data) Monthly Bias: Trend over last 30 daily bars Quarterly Bias: Trend over last 13 weekly bars VIX Fear Index: Market regime based on VIX level - bullish when low, bearish when high Opening Range Breakout: Status of price vs. session open range (intraday only) These rows show text: "BULLISH", "BEARISH", or "NEUTRAL" Indicator Rows - Technical Signals: These evaluate your configured indicators across all active timeframes: Fast MA > Medium MA (shows your actual MA settings, e.g., "EMA 10 > SMA 20") Price > Long MA (e.g., "Price > SMA 200") Price > VWAP MACD > Signal Supertrend (up/down/neutral) ZLSMA Rising RSI In Zone ADX ≥ Minimum These rows show emojis: GREEB (bullish), RED (bearish), GRAY/YELLOW (neutral/NA) AVG Column: Shows percentage of active timeframes that are bullish for that row. This is the KEY metric: AVG > 70% = strong multi-timeframe bullish alignment AVG 40-60% = mixed/choppy, no clear trend AVG < 30% = strong multi-timeframe bearish alignment How to Use the Table: For a long trade: Check AVG column - want to see > 60% ideally Check headline bias rows - want to see BULLISH, not BEARISH Check VIX row - bullish market regime preferred Check ORB row (intraday) - want ABOVE for longs Scan indicator rows - more green = better confirmation For a short trade: Check AVG column - want to see < 40% ideally Check headline bias rows - want to see BEARISH, not BULLISH Check VIX row - bearish market regime preferred Check ORB row (intraday) - want BELOW for shorts Scan indicator rows - more red = better confirmation When AVG is 40-60%: Market is choppy, mixed signals. Either stay out or reduce position size significantly. These are low-probability environments. Unique Features: Dynamic Labels: Row names show your actual settings (e.g., "EMA 10 > SMA 20" not generic "Fast > Slow"). You know exactly what's being evaluated. Customizable Rows: Turn off rows you don't care about. Only show what matters to your strategy. Customizable Timeframes: On intraday charts, disable 1m or 4h if you don't trade them. Reduces calculation load by 20-40%. Automatic HTF Handling: On Daily/Weekly/Monthly charts, the table automatically switches to D/W/M columns. No configuration needed. Performance Smart: "Hide BIAS table on 1D or above" option completely skips all table calculations on higher timeframes if you only trade intraday. --- 6. CANDLESTICK PATTERN RECOGNITION The indicator automatically detects six major reversal patterns and marks them with emojis at the relevant bars. Why These Six Patterns: These are the most statistically significant reversal patterns according to trading literature: High win rate when appearing at support/resistance Clear visual structure (not subjective) Work across all timeframes and assets Studied extensively by institutions The Patterns: Bullish Patterns (appear at bottoms): Bullish Engulfing: Green candle completely engulfs prior red candle's body. Strong reversal signal. Hammer: Small body with long lower wick (at least 2× body size). Shows rejection of lower prices by buyers. Morning Star: Three-candle pattern (large red → small indecision → large green). Very strong bottom reversal. Bearish Patterns (appear at tops): Bearish Engulfing: Red candle completely engulfs prior green candle's body. Strong reversal signal. Shooting Star: Small body with long upper wick (at least 2× body size). Shows rejection of higher prices by sellers. Evening Star: Three-candle pattern (large green → small indecision → large red). Very strong top reversal. Interactive Tooltips: Unlike most pattern indicators that just draw shapes, this one is educational: Hover your mouse over any pattern emoji A tooltip appears explaining: what the pattern is, what it means, when it's most reliable, and how to trade it No need to memorize - learn as you trade Noise Filter: "Min candle body % to filter noise" setting prevents false signals: Patterns require minimum body size relative to price Filters out tiny candles that don't represent real buying/selling pressure Adjust based on asset volatility (higher % for crypto, lower for low-volatility stocks) How to Trade Patterns: Patterns are NOT standalone entry signals. Use them as: Confirmation: UT Bot gives signal + pattern appears = stronger entry Reversal Warning: In a trade, opposite pattern appears = consider tightening stop or taking profit Support/Resistance Validation: Pattern at key level (PDH, VWAP, MA 200) = level is being respected Best combined with: UT Bot or Base signal in same direction Bias Table alignment (AVG > 60% or < 40%) Appearance at obvious support/resistance --- 7. VISUAL TOOLS AND FEATURES VWAP (Volume Weighted Average Price): Session-anchored VWAP with standard deviation bands. Shows institutional "fair value" for the trading session. Anchor Options: Session, Day, Week, Month, Quarter, Year. Choose based on your trading timeframe. Bands: Up to three pairs (X1, X2, X3) showing statistical deviation. Price at outer bands often reverses. Auto-Hide on HTF: VWAP hides on Daily/Weekly/Monthly charts automatically unless you enable anchored mode. Use VWAP as: Directional bias (above = bullish, below = bearish) Mean reversion levels (outer bands) Support/resistance (the VWAP line itself) Previous Day High/Low: Automatically plots yesterday's high and low on intraday charts: Updates at start of each new trading day Theme-aware colors (dark text for light charts, light text for dark charts) Hidden automatically on Daily/Weekly/Monthly charts These levels are critical for intraday traders - institutions watch them closely as support/resistance. Opening Range Breakout (ORB): Tracks the high/low of the first 5, 15, 30, or 60 minutes of the trading session: Customizable session times (preset for NYSE, LSE, TSE, or custom) Shows current breakout status in Bias Table row (ABOVE, BELOW, INSIDE, BUILDING) Intraday only - auto-disabled on Daily+ charts ORB is a classic day trading strategy - breakout above opening range often leads to continuation. Extra Labels: Change from Open %: Shows how far price has moved from session open (intraday) or daily open (HTF). Green if positive, red if negative. ADX Badge: Small label at bottom of last bar showing current ADX value. Green when above your minimum threshold, red when below. RSI Badge: Small label at top of last bar showing current RSI value with zone status (buy zone, sell zone, or neutral). These labels provide quick at-a-glance confirmation without needing separate indicator windows. --- 8. HOW TO USE THE INDICATOR Step 1: Add to Chart Load the indicator on your chosen asset and timeframe First time: Everything is enabled by default - the chart will look busy Don't panic - you'll turn off what you don't need Step 2: Start Simple Turn OFF everything except: UT Bot labels (keep these ON) Bias Table (keep this ON) Moving Averages (Fast and Medium only) Suggested Stop Loss and Take Profits Hide everything else initially. Get comfortable with the basic UT Bot + Bias Table workflow first. Step 3: Learn the Core Workflow UT Bot gives a Buy or Sell signal Check Bias Table AVG column - do you have multi-timeframe alignment? If yes, enter the trade Place stop at Suggested Stop Loss line Scale out at TP levels Exit on opposite UT signal Trade this simple system for a week. Get a feel for signal frequency and win rate with your settings. Step 4: Add Filters Gradually If you're getting too many losing signals (whipsaws in choppy markets), add filters one at a time: Try: "Require 2-Bar Trend Confirmation" - wait for 2 bars to confirm direction Try: ADX filter with minimum threshold - only trade when trend strength is sufficient Try: RSI pullback filter - only enter on pullbacks, not chasing Try: Volume filter - require above-average volume Add one filter, test for a week, evaluate. Repeat. Step 5: Enable Advanced Features (Optional) Once you're profitable with the core system, add: Supertrend for additional trend confirmation Candlestick patterns for reversal warnings VWAP for institutional anchor reference ORB for intraday breakout context ZLSMA for low-lag trend following Step 6: Optimize Settings Every setting has a detailed tooltip explaining what it does and typical values. Hover over any input to read: What the parameter controls How it impacts trading Suggested ranges for scalping, day trading, and swing trading Start with defaults, then adjust based on your results and style. Step 7: Set Up Alerts Right-click chart → Add Alert → Condition: "Luxy Momentum v6" → Choose: "UT Bot — Buy" for long entries "UT Bot — Sell" for short entries "Base Long/Short" for filtered MA cross signals Optionally enable "Send real-time alert() on UT flip" in settings for immediate notifications. Common Workflow Variations: Conservative Trader: UT signal + Base signal + Candlestick pattern + Bias AVG > 70% Enter only at major support/resistance Wider UT sensitivity, multiple filters Aggressive Trader: UT signal + Bias AVG > 60% Enter immediately, no waiting Tighter UT sensitivity, minimal filters Swing Trader: Focus on Daily/Weekly Bias alignment Ignore intraday noise Use ORB and PDH/PDL less (or not at all) Wider stops, patient approach --- 9. PERFORMANCE AND OPTIMIZATION The indicator is optimized for speed, but with 15+ features running simultaneously, chart load time can add up. Here's how to keep it fast: Biggest Performance Gains: Disable Unused Timeframes: In "Time Frames" settings, turn OFF any timeframe you don't actively trade. Each disabled TF saves 10-15% calculation time. If you only day trade 5m, 15m, 1h, disable 1m, 2h, 4h. Hide Bias Table on Daily+: If you only trade intraday, enable "Hide BIAS table on 1D or above". This skips ALL table calculations on higher timeframes. Draw UT Visuals Only on Bar Close: Reduces intrabar rendering of SL/TP/Entry lines. Has ZERO impact on logic or alerts - purely visual optimization. Additional Optimizations: Turn off VWAP bands if you don't use them Disable candlestick patterns if you don't trade them Turn off Supertrend fill if you find it distracting (keep the line) Reduce "Limit to 10 bars" for SL/TP lines to minimize line objects Performance Features Built-In: Smart Caching: Higher timeframe data (3-day bias, weekly bias, etc.) updates once per day, not every bar Conditional Calculations: Volume filter only calculates when enabled. Swing filter only runs when enabled. Nothing computes if turned off. Modular Design: Every component is independent. Turn off what you don't need without breaking other features. Typical Load Times: 5m chart, all features ON, 7 timeframes: ~2-3 seconds 5m chart, core features only, 3 timeframes: ~1 second 1m chart, all features: ~4-5 seconds (many bars to calculate) If loading takes longer, you likely have too many indicators on the chart total (not just this one). --- 10. FAQ Q: How is this different from standard UT Bot indicators? A: Standard UT Bot (originally by @QuantNomad) is just the ATR trailing line and flip signals. This implementation adds: - Volume weighting and momentum adjustment to the trailing calculation - Multiple confirmation filters (swing, %, 2-bar, ZLSMA) - Smart composite stop loss system from multiple S/R layers - R-multiple take profit system with freeze-on-touch - Integration with multi-timeframe Bias Table - Visual audit trail with checkmarks Q: Can I use this for automated trading? A: The indicator is designed for discretionary trading. While it has clear signals and alerts, it's not a mechanical system. Context and judgment are required. Q: Does it repaint? A: No. All signals respect bar close. UT Bot logic runs intrabar but signals only trigger on confirmed bars. Alerts fire correctly with no lookahead. Q: Do I need to use all the features? A: Absolutely not. The indicator is modular. Many profitable traders use just UT Bot + Bias Table + Moving Averages. Start simple, add complexity only if needed. Q: How do I know which settings to use? A: Every single input has a detailed tooltip. Hover over any setting to see: What it does How it affects trading Typical values for scalping, day trading, swing trading Start with defaults, adjust gradually based on results. Q: Can I use this on crypto 24/7 markets? A: Yes. ORB will not work (no defined session), but everything else functions normally. Use "Day" anchor for VWAP instead of "Session". Q: The Bias Table is blank or not showing. A: Check: "Show Table" is ON Table position isn't overlapping another indicator's table (change position) At least one row is enabled "Hide BIAS table on 1D or above" is OFF (if on Daily+ chart) Q: Why are candlestick patterns not appearing? A: Patterns are relatively rare by design - they only appear at genuine reversal points. Check: Pattern toggles are ON "Min candle body %" isn't too high (try 0.05-0.10) You're looking at a chart with actual reversals (not strong trending market) Q: UT Bot is too sensitive/not sensitive enough. A: Adjust "Sensitivity (Key×ATR)". Lower number = tighter stop, more signals. Higher number = wider stop, fewer signals. Read the tooltip for guidance. Q: Can I get alerts for the Bias Table? A: The Bias Table is a dashboard for visual analysis, not a signal generator. Set alerts on UT Bot or Base signals, then manually check Bias Table for confirmation. Q: Does this work on stocks with low volume? A: Yes, but turn OFF the volume filter. Low volume stocks will never meet relative volume requirements. Q: How often should I check the Bias Table? A: Before every entry. It takes 2 seconds to glance at the AVG column and headline rows. This one check can save you from fighting the trend. Q: What if UT signal and Base signal disagree? A: UT Bot is more aggressive (ATR trailing). Base signals are more conservative (MA cross + filters). If they disagree, either: Wait for both to align (safest) Take the UT signal but with smaller size (aggressive) Skip the trade (conservative) There's no "right" answer - depends on your risk tolerance. --- FINAL NOTES The indicator gives you an edge. How you use that edge determines results. For questions, feedback, or support, comment on the indicator page or message the author. Happy Trading!
Pine Script® Indikator
von orenluxy
39
RSI Donchian Channel [DCAUT]█ RSI Donchian Channel 📊 ORIGINALITY & INNOVATION The RSI Donchian Channel represents an important synthesis of two complementary analytical frameworks: momentum oscillators and breakout detection systems. This indicator addresses a common limitation in traditional RSI analysis by replacing fixed overbought/oversold thresholds with adaptive zones derived from historical RSI extremes. Key Enhancement: Traditional RSI analysis relies on static threshold levels (typically 30/70), which may not adequately reflect changing market volatility regimes. This indicator adapts the reference zones dynamically based on the actual RSI behavior over the lookback period, helping traders identify meaningful momentum extremes relative to recent price action rather than arbitrary fixed levels. The implementation combines the proven momentum measurement capabilities of RSI with Donchian Channel's breakout detection methodology, creating a framework that identifies both momentum exhaustion points and potential continuation signals through the same analytical lens. 📐 MATHEMATICAL FOUNDATION Core Calculation Process: Step 1: RSI Calculation The Relative Strength Index measures momentum by comparing the magnitude of recent gains to recent losses: Calculate price changes between consecutive periods Separate positive changes (gains) from negative changes (losses) Apply selected smoothing method (RMA standard, also supports SMA, EMA, WMA) to both gain and loss series Compute Relative Strength (RS) as the ratio of smoothed gains to smoothed losses Transform RS into bounded 0-100 scale using the formula: RSI = 100 - (100 / (1 + RS)) Step 2: Donchian Channel Application The Donchian Channel identifies the highest and lowest RSI values within the specified lookback period: Upper Channel: Highest RSI value over the lookback period, represents the recent momentum peak Lower Channel: Lowest RSI value over the lookback period, represents the recent momentum trough Middle Channel (Basis): Average of upper and lower channels, serves as equilibrium reference Channel Width Dynamics: The distance between upper and lower channels reflects RSI volatility. Wide channels indicate high momentum variability, while narrow channels suggest momentum consolidation and potential breakout preparation. The indicator monitors channel width over a 100-period window to identify squeeze conditions that often precede significant momentum shifts. 📊 COMPREHENSIVE SIGNAL ANALYSIS Primary Signal Categories: Breakout Signals: Upper Breakout: RSI crosses above the upper channel, indicates momentum reaching new relative highs and potential trend continuation, particularly significant when accompanied by price confirmation Lower Breakout: RSI crosses below the lower channel, suggests momentum reaching new relative lows and potential trend exhaustion or reversal setup Breakout strength is enhanced when the channel is narrow prior to the breakout, indicating a transition from consolidation to directional movement Mean Reversion Signals: Upper Touch Without Breakout: RSI reaches the upper channel but fails to break through, may indicate momentum exhaustion and potential reversal opportunity Lower Touch Without Breakout: RSI reaches the lower channel without breakdown, suggests potential bounce as momentum reaches oversold extremes Return to Basis: RSI moving back toward the middle channel after touching extremes signals momentum normalization Trend Strength Assessment: Sustained Upper Channel Riding: RSI consistently remains near or above the upper channel during strong uptrends, indicates persistent bullish momentum Sustained Lower Channel Riding: RSI stays near or below the lower channel during strong downtrends, reflects persistent bearish pressure Basis Line Position: RSI position relative to the middle channel helps identify the prevailing momentum bias Channel Compression Patterns: Squeeze Detection: Channel width narrowing to 100-period lows indicates momentum consolidation, often precedes significant directional moves Expansion Phase: Channel widening after a squeeze confirms the initiation of a new momentum regime Persistent Narrow Channels: Extended periods of tight channels suggest market indecision and accumulation/distribution phases 🎯 STRATEGIC APPLICATIONS Trend Continuation Strategy: This approach focuses on identifying and trading momentum breakouts that confirm established trends: Identify the prevailing price trend using higher timeframe analysis or trend-following indicators Wait for RSI to break above the upper channel in uptrends (or below the lower channel in downtrends) Enter positions in the direction of the breakout when price action confirms the momentum shift Place protective stops below the recent swing low (long positions) or above swing high (short positions) Target profit levels based on prior swing extremes or use trailing stops to capture extended moves Exit when RSI crosses back through the basis line in the opposite direction Mean Reversion Strategy: This method capitalizes on momentum extremes and subsequent corrections toward equilibrium: Monitor for RSI reaching the upper or lower channel boundaries Look for rejection signals (price reversal patterns, volume divergence) when RSI touches the channels Enter counter-trend positions when RSI begins moving back toward the basis line Use the basis line as the initial profit target for mean reversion trades Implement tight stops beyond the channel extremes to limit risk on failed reversals Scale out of positions as RSI approaches the basis line and closes the position when RSI crosses the basis Breakout Preparation Strategy: This approach positions traders ahead of potential volatility expansion from consolidation phases: Identify squeeze conditions when channel width reaches 100-period lows Monitor price action for consolidation patterns (triangles, rectangles, flags) during the squeeze Prepare conditional orders for breakouts in both directions from the consolidation Enter positions when RSI breaks out of the narrow channel with expanding width Use the channel width expansion as a confirmation signal for the breakout's validity Manage risk with stops just inside the opposite channel boundary Multi-Timeframe Confluence Strategy: Combining RSI Donchian Channel analysis across multiple timeframes can improve signal reliability: Identify the primary trend direction using a higher timeframe RSI Donchian Channel (e.g., daily or weekly) Use a lower timeframe (e.g., 4-hour or hourly) to time precise entry points Enter long positions when both timeframes show RSI above their respective basis lines Enter short positions when both timeframes show RSI below their respective basis lines Avoid trades when timeframes provide conflicting signals (e.g., higher timeframe below basis, lower timeframe above) Exit when the higher timeframe RSI crosses its basis line in the opposite direction Risk Management Guidelines: Effective risk management is essential for all RSI Donchian Channel strategies: Position Sizing: Calculate position sizes based on the distance between entry point and stop loss, limiting risk to 1-2% of capital per trade Stop Loss Placement: For breakout trades, place stops just inside the opposite channel boundary; for mean reversion trades, use stops beyond the channel extremes Profit Targets: Use the basis line as a minimum target for mean reversion trades; for trend trades, target prior swing extremes or use trailing stops Channel Width Context: Increase position sizes during narrow channels (lower volatility) and reduce sizes during wide channels (higher volatility) Correlation Awareness: Monitor correlations between traded instruments to avoid over-concentration in similar setups 📋 DETAILED PARAMETER CONFIGURATION RSI Source: Defines the price data series used for RSI calculation: Close (Default): Standard choice providing end-of-period momentum assessment, suitable for most trading styles and timeframes High-Low Average (HL2): Reduces the impact of closing auction dynamics, useful for markets with significant end-of-day volatility High-Low-Close Average (HLC3): Provides a more balanced view incorporating the entire period's range Open-High-Low-Close Average (OHLC4): Offers the most comprehensive price representation, helpful for identifying overall period sentiment Strategy Consideration: Use Close for end-of-period signals, HL2 or HLC3 for intraday volatility reduction, OHLC4 for capturing full period dynamics RSI Length: Controls the number of periods used for RSI calculation: Short Periods (5-9): Highly responsive to recent price changes, produces more frequent signals with increased false signal risk, suitable for short-term trading and volatile markets Standard Period (14): Widely accepted default balancing responsiveness with stability, appropriate for swing trading and intermediate-term analysis Long Periods (21-28): Produces smoother RSI with fewer signals but more reliable trend identification, better for position trading and reducing noise in choppy markets Optimization Approach: Test different lengths against historical data for your specific market and timeframe, consider using longer periods in ranging markets and shorter periods in trending markets RSI MA Type: Determines the smoothing method applied to price changes in RSI calculation: RMA (Relative Moving Average - Default): Wilder's original smoothing method providing stable momentum measurement with gradual response to changes, maintains consistency with classical RSI interpretation SMA (Simple Moving Average): Treats all periods equally, responds more quickly to changes than RMA but may produce more whipsaws in volatile conditions EMA (Exponential Moving Average): Weights recent periods more heavily, increases responsiveness at the cost of potential noise, suitable for traders prioritizing early signal generation WMA (Weighted Moving Average): Applies linear weighting favoring recent data, offers a middle ground between SMA and EMA responsiveness Selection Guidance: Maintain RMA for consistency with traditional RSI analysis, use EMA or WMA for more responsive signals in fast-moving markets, apply SMA for maximum simplicity and transparency DC Length: Specifies the lookback period for Donchian Channel calculation on RSI values: Short Periods (10-14): Creates tight channels that adapt quickly to changing momentum conditions, generates more frequent trading signals but increases sensitivity to short-term RSI fluctuations Standard Period (20): Balances channel responsiveness with stability, aligns with traditional Bollinger Bands and moving average periods, suitable for most trading styles Long Periods (30-50): Produces wider, more stable channels that better represent sustained momentum extremes, reduces signal frequency while improving reliability, appropriate for position traders and higher timeframes Calibration Strategy: Match DC length to your trading timeframe (shorter for day trading, longer for swing trading), test channel width behavior during different market regimes, consider using adaptive periods that adjust to volatility conditions Market Adaptation: Use shorter DC lengths in trending markets to capture momentum shifts earlier, apply longer periods in ranging markets to filter noise and focus on significant extremes Parameter Combination Recommendations: Scalping/Day Trading: RSI Length 5-9, DC Length 10-14, EMA or WMA smoothing for maximum responsiveness Swing Trading: RSI Length 14, DC Length 20, RMA smoothing for balanced analysis (default configuration) Position Trading: RSI Length 21-28, DC Length 30-50, RMA or SMA smoothing for stable signals High Volatility Markets: Longer RSI periods (21+) with standard DC length (20) to reduce noise Low Volatility Markets: Standard RSI length (14) with shorter DC length (10-14) to capture subtle momentum shifts 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Adaptive Threshold Mechanism: Unlike traditional RSI analysis with fixed 30/70 thresholds, this indicator's Donchian Channel approach provides several improvements: Context-Aware Extremes: Overbought/oversold levels adjust automatically based on recent momentum behavior rather than arbitrary fixed values Volatility Adaptation: In low volatility periods, channels narrow to reflect tighter momentum ranges; in high volatility, channels widen appropriately Market Regime Recognition: The indicator implicitly adapts to different market conditions without manual threshold adjustments False Signal Reduction: Adaptive channels help reduce premature reversal signals that often occur with fixed thresholds during strong trends Signal Quality Characteristics: The indicator's dual-purpose design provides distinct advantages for different trading objectives: Breakout Trading: Channel boundaries offer clear, objective breakout levels that update dynamically, eliminating the ambiguity of when momentum becomes "too high" or "too low" Mean Reversion: The basis line provides a natural profit target for reversion trades, representing the midpoint of recent momentum extremes Trend Strength: Persistent channel boundary riding offers an objective measure of trend strength without additional indicators Consolidation Detection: Channel width analysis provides early warning of potential volatility expansion from compression phases Comparative Analysis: When compared to traditional RSI implementations and other momentum frameworks: vs. Fixed Threshold RSI: Provides market-adaptive reference levels rather than static values, helping to reduce false signals during trending markets where RSI can remain "overbought" or "oversold" for extended periods vs. RSI Bollinger Bands: Offers clearer breakout signals and more intuitive extreme identification through actual high/low boundaries rather than statistical standard deviations vs. Stochastic Oscillator: Maintains RSI's momentum measurement advantages (unbounded calculation avoiding scale compression) while adding the breakout detection capabilities of Donchian Channels vs. Standard Donchian Channels: Applies breakout methodology to momentum space rather than price, providing earlier signals of potential trend changes before price breakouts occur Performance Characteristics: The indicator exhibits specific behavioral patterns across different market conditions: Trending Markets: Excels at identifying momentum continuation through channel breakouts, RSI tends to ride one channel boundary during strong trends, providing trend confirmation Ranging Markets: Channel width narrows during consolidation, offering early preparation signals for potential breakout trading opportunities High Volatility: Channels widen to reflect increased momentum variability, automatically adjusting signal sensitivity to match market conditions Low Volatility: Channels contract, making the indicator more sensitive to subtle momentum shifts that may be significant in calm market environments Transition Periods: Channel squeezes often precede major trend changes, offering advance warning of potential regime shifts Limitations and Considerations: Users should be aware of certain operational characteristics: Lookback Dependency: Channel boundaries depend entirely on the lookback period, meaning the indicator has no predictive element beyond identifying current momentum relative to recent history Lag Characteristics: As with all moving average-based indicators, RSI calculation introduces lag, and channel boundaries update only as new extremes occur within the lookback window Range-Bound Sensitivity: In extremely tight ranges, channels may become very narrow, potentially generating excessive signals from minor momentum fluctuations Trending Persistence: During very strong trends, RSI may remain at channel extremes for extended periods, requiring patience for mean reversion setups or commitment to trend-following approaches No Absolute Levels: Unlike traditional RSI, this indicator provides no fixed reference points (like 50), making it less suitable for strategies that depend on absolute momentum readings USAGE NOTES This indicator is designed for technical analysis and educational purposes to help traders understand momentum dynamics and identify potential trading opportunities. The RSI Donchian Channel has limitations and should not be used as the sole basis for trading decisions. Important considerations: Performance varies significantly across different market conditions, timeframes, and instruments Historical signal patterns do not guarantee future results, as market behavior continuously evolves Effective use requires understanding of both RSI momentum principles and Donchian Channel breakout concepts Risk management practices (stop losses, position sizing, diversification) are essential for any trading application Consider combining with additional analytical tools such as volume analysis, price action patterns, or trend indicators for confirmation Backtest thoroughly on your specific instruments and timeframes before live trading implementation Be aware that optimization on historical data may lead to curve-fitting and poor forward performance The indicator performs best when used as part of a comprehensive trading methodology that incorporates multiple forms of market analysis, sound risk management, and realistic expectations about win rates and drawdowns.
Pine Script® Indikator
von DCAUT
MACD Enhanced [DCAUT]█ MACD Enhanced 📊 ORIGINALITY & INNOVATION The MACD Enhanced represents a significant improvement over traditional MACD implementations. While Gerald Appel's original MACD from the 1970s was limited to exponential moving averages (EMA), this enhanced version expands algorithmic options by supporting 21 different moving average calculations for both the main MACD line and signal line independently. This improvement addresses an important limitation of traditional MACD: the inability to adapt the indicator's mathematical foundation to different market conditions. By allowing traders to select from algorithms ranging from simple moving averages (SMA) for stability to advanced adaptive filters like Kalman Filter for noise reduction, this implementation changes MACD from a fixed-algorithm tool into a flexible instrument that can be adjusted for specific market environments and trading strategies. The enhanced histogram visualization system uses a four-color gradient that helps communicate momentum strength and direction more clearly than traditional single-color histograms. 📐 MATHEMATICAL FOUNDATION The core calculation maintains the proven MACD formula: Fast MA(source, fastLength) - Slow MA(source, slowLength), but extends it with algorithmic flexibility. The signal line applies the selected smoothing algorithm to the MACD line over the specified signal period, while the histogram represents the difference between MACD and signal lines. Available Algorithms: The implementation supports a comprehensive spectrum of technical analysis algorithms: Basic Averages: SMA (arithmetic mean), EMA (exponential weighting), RMA (Wilder's smoothing), WMA (linear weighting) Advanced Averages: HMA (Hull's low-lag), VWMA (volume-weighted), ALMA (Arnaud Legoux adaptive) Mathematical Filters: LSMA (least squares regression), DEMA (double exponential), TEMA (triple exponential), ZLEMA (zero-lag exponential) Adaptive Systems: T3 (Tillson T3), FRAMA (fractal adaptive), KAMA (Kaufman adaptive), MCGINLEY_DYNAMIC (reactive to volatility) Signal Processing: ULTIMATE_SMOOTHER (low-pass filter), LAGUERRE_FILTER (four-pole IIR), SUPER_SMOOTHER (two-pole Butterworth), KALMAN_FILTER (state-space estimation) Specialized: TMA (triangular moving average), LAGUERRE_BINOMIAL_FILTER (binomial smoothing) Each algorithm responds differently to price action, allowing traders to match the indicator's behavior to market characteristics: trending markets benefit from responsive algorithms like EMA or HMA, while ranging markets require stable algorithms like SMA or RMA. 📊 COMPREHENSIVE SIGNAL ANALYSIS Histogram Interpretation: Positive Values: Indicate bullish momentum when MACD line exceeds signal line, suggesting upward price pressure and potential buying opportunities Negative Values: Reflect bearish momentum when MACD line falls below signal line, indicating downward pressure and potential selling opportunities Zero Line Crosses: MACD crossing above zero suggests transition to bullish bias, while crossing below indicates bearish bias shift Momentum Changes: Rising histogram (regardless of positive/negative) signals accelerating momentum in the current direction, while declining histogram warns of momentum deceleration Advanced Signal Recognition: Divergences: Price making new highs/lows while MACD fails to confirm often precedes trend reversals Convergence Patterns: MACD line approaching signal line suggests impending crossover and potential trade setup Histogram Peaks: Extreme histogram values often mark momentum exhaustion points and potential reversal zones 🎯 STRATEGIC APPLICATIONS Comprehensive Trend Confirmation Strategies: Primary Trend Validation Protocol: Identify primary trend direction using higher timeframe (4H or Daily) MACD position relative to zero line Confirm trend strength by analyzing histogram progression: consistent expansion indicates strong momentum, contraction suggests weakening Use secondary confirmation from MACD line angle: steep angles (>45°) indicate strong trends, shallow angles suggest consolidation Validate with price structure: trending markets show consistent higher highs/higher lows (uptrend) or lower highs/lower lows (downtrend) Entry Timing Techniques: Pullback Entries in Uptrends: Wait for MACD histogram to decline toward zero line without crossing, then enter on histogram expansion with MACD line still above zero Breakout Confirmations: Use MACD line crossing above zero as confirmation of upward breakouts from consolidation patterns Continuation Signals: Look for MACD line re-acceleration (steepening angle) after brief consolidation periods as trend continuation signals Advanced Divergence Trading Systems: Regular Divergence Recognition: Bullish Regular Divergence: Price creates lower lows while MACD line forms higher lows. This pattern is traditionally considered a potential upward reversal signal, but should be combined with other confirmation signals Bearish Regular Divergence: Price makes higher highs while MACD shows lower highs. This pattern is traditionally considered a potential downward reversal signal, but trading decisions should incorporate proper risk management Hidden Divergence Strategies: Bullish Hidden Divergence: Price shows higher lows while MACD displays lower lows, indicating trend continuation potential. Use for adding to existing long positions during pullbacks Bearish Hidden Divergence: Price creates lower highs while MACD forms higher highs, suggesting downtrend continuation. Optimal for adding to short positions during bear market rallies Multi-Timeframe Coordination Framework: Three-Timeframe Analysis Structure: Primary Timeframe (Daily): Determine overall market bias and major trend direction. Only trade in alignment with daily MACD direction Secondary Timeframe (4H): Identify intermediate trend changes and major entry opportunities. Use for position sizing decisions Execution Timeframe (1H): Precise entry and exit timing. Look for MACD line crossovers that align with higher timeframe bias Timeframe Synchronization Rules: Daily MACD above zero + 4H MACD rising = Strong uptrend context for long positions Daily MACD below zero + 4H MACD declining = Strong downtrend context for short positions Conflicting signals between timeframes = Wait for alignment or use smaller position sizes 1H MACD signals only valid when aligned with both higher timeframes Algorithm Considerations by Market Type: Trending Markets: Responsive algorithms like EMA, HMA may be considered, but effectiveness should be tested for specific market conditions Volatile Markets: Noise-reducing algorithms like KALMAN_FILTER, SUPER_SMOOTHER may help reduce false signals, though results vary by market Range-Bound Markets: Stability-focused algorithms like SMA, RMA may provide smoother signals, but individual testing is required Short Timeframes: Low-lag algorithms like ZLEMA, T3 theoretically respond faster but may also increase noise Important Note: All algorithm choices and parameter settings should be thoroughly backtested and validated based on specific trading strategies, market conditions, and individual risk tolerance. Different market environments and trading styles may require different configuration approaches. 📋 DETAILED PARAMETER CONFIGURATION Comprehensive Source Selection Strategy: Price Source Analysis and Optimization: Close Price (Default): Most commonly used, reflects final market sentiment of each period. Best for end-of-day analysis, swing trading, daily/weekly timeframes. Advantages: widely accepted standard, good for backtesting comparisons. Disadvantages: ignores intraday price action, may miss important highs/lows HL2 (High+Low)/2: Midpoint of the trading range, reduces impact of opening gaps and closing spikes. Best for volatile markets, gap-prone assets, forex markets. Calculation impact: smoother MACD signals, reduced noise from price spikes. Optimal when asset shows frequent gaps, high volatility during specific sessions HLC3 (High+Low+Close)/3: Weighted average emphasizing the close while including range information. Best for balanced analysis, most asset classes, medium-term trading. Mathematical effect: 33% weight to high/low, 33% to close, provides compromise between close and HL2. Use when standard close is too noisy but HL2 is too smooth OHLC4 (Open+High+Low+Close)/4: True average of all price points, most comprehensive view. Best for complete price representation, algorithmic trading, statistical analysis. Considerations: includes opening sentiment, smoothest of all options but potentially less responsive. Optimal for markets with significant opening moves, comprehensive trend analysis Parameter Configuration Principles: Important Note: Different moving average algorithms have distinct mathematical characteristics and response patterns. The same parameter settings may produce vastly different results when using different algorithms. When switching algorithms, parameter settings should be re-evaluated and tested for appropriateness. Length Parameter Considerations: Fast Length (Default 12): Shorter periods provide faster response but may increase noise and false signals, longer periods offer more stable signals but slower response, different algorithms respond differently to the same parameters and may require adjustment Slow Length (Default 26): Should maintain a reasonable proportional relationship with fast length, different timeframes may require different parameter configurations, algorithm characteristics influence optimal length settings Signal Length (Default 9): Shorter lengths produce more frequent crossovers but may increase false signals, longer lengths provide better signal confirmation but slower response, should be adjusted based on trading style and chosen algorithm characteristics Comprehensive Algorithm Selection Framework: MACD Line Algorithm Decision Matrix: EMA (Standard Choice): Mathematical properties: exponential weighting, recent price emphasis. Best for general use, traditional MACD behavior, backtesting compatibility. Performance characteristics: good balance of speed and smoothness, widely understood behavior SMA (Stability Focus): Equal weighting of all periods, maximum smoothness. Best for ranging markets, noise reduction, conservative trading. Trade-offs: slower signal generation, reduced sensitivity to recent price changes HMA (Speed Optimized): Hull Moving Average, designed for reduced lag. Best for trending markets, quick reversals, active trading. Technical advantage: square root period weighting, faster trend detection. Caution: can be more sensitive to noise KAMA (Adaptive): Kaufman Adaptive MA, adjusts smoothing based on market efficiency. Best for varying market conditions, algorithmic trading. Mechanism: fast smoothing in trends, slow smoothing in sideways markets. Complexity: requires understanding of efficiency ratio Signal Line Algorithm Optimization Strategies: Matching Strategy: Use same algorithm for both MACD and signal lines. Benefits: consistent mathematical properties, predictable behavior. Best when backtesting historical strategies, maintaining traditional MACD characteristics Contrast Strategy: Use different algorithms for optimization. Common combinations: MACD=EMA, Signal=SMA for smoother crossovers, MACD=HMA, Signal=RMA for balanced speed/stability, Advanced: MACD=KAMA, Signal=T3 for adaptive behavior with smooth signals Market Regime Adaptation: Trending markets: both fast algorithms (EMA/HMA), Volatile markets: MACD=KALMAN_FILTER, Signal=SUPER_SMOOTHER, Range-bound: both slow algorithms (SMA/RMA) Parameter Sensitivity Considerations: Impact of Parameter Changes: Length Parameter Sensitivity: Small parameter adjustments can significantly affect signal timing, while larger adjustments may fundamentally change indicator behavior characteristics Algorithm Sensitivity: Different algorithms produce different signal characteristics. Thoroughly test the impact on your trading strategy before switching algorithms Combined Effects: Changing multiple parameters simultaneously can create unexpected effects. Recommendation: adjust parameters one at a time and thoroughly test each change 📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES Response Characteristics by Algorithm: Fastest Response: ZLEMA, HMA, T3 - minimal lag but higher noise Balanced Performance: EMA, DEMA, TEMA - good trade-off between speed and stability Highest Stability: SMA, RMA, TMA - reduced noise but increased lag Adaptive Behavior: KAMA, FRAMA, MCGINLEY_DYNAMIC - automatically adjust to market conditions Noise Filtering Capabilities: Advanced algorithms like KALMAN_FILTER and SUPER_SMOOTHER help reduce false signals compared to traditional EMA-based MACD. Noise-reducing algorithms can provide more stable signals in volatile market conditions, though results will vary based on market conditions and parameter settings. Market Condition Adaptability: Unlike fixed-algorithm MACD, this enhanced version allows real-time optimization. Trending markets benefit from responsive algorithms (EMA, HMA), while ranging markets perform better with stable algorithms (SMA, RMA). The ability to switch algorithms without changing indicators provides greater flexibility. Comparative Performance vs Traditional MACD: Algorithm Flexibility: 21 algorithms vs 1 fixed EMA Signal Quality: Reduced false signals through noise filtering algorithms Market Adaptability: Optimizable for any market condition vs fixed behavior Customization Options: Independent algorithm selection for MACD and signal lines vs forced matching Professional Features: Advanced color coding, multiple alert conditions, comprehensive parameter control USAGE NOTES This indicator is designed for technical analysis and educational purposes. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions. Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always combine with proper risk management and thorough strategy testing.
Pine Script® Indikator
von DCAUT
cd_VWAP_mtg_CxCd_VWAP_mtg_Cx Overview The most important condition for being successful and profitable in the market is to consistently follow the same rules without compromise, while the price constantly moves in countless different ways. Regardless of the concept or trading school, those who have rules win. In this indicator, we will define and use three main sections to set and apply our rules. The indicator uses the VWAP (Volume Weighted Average Price) — price weighted by volume. Two VWAPs can be displayed either by manually entering date and time, or by selecting from the menu. From the menu, you can select the following reference levels: • HTF Open: Opening candle of the higher timeframe • ATH / ATL: All-Time High / All-Time Low candles • PMH / PML, PWH / PWL, PDH / PDL, PH4H / PH4L: Previous Month, Week, Day, or H4 Highs/Lows • MH / ML, WH / WL, DH / DL, H4H / H4L: Current Month, Week, Day, or H4 Highs/Lows Additionally, it includes: • Mitigation / Order Block zones (local buyer-seller balance) across two timeframes. • Buy/Sell Side Liquidity levels (BSL / SSL) from the aligned higher timeframe (target levels). ________________________________________ Components and Usage 1 – VWAP Calculated using the classical method: • High + Volume for the upper value • Close + Volume for the middle value • Low + Volume for the lower value The VWAP is displayed as a colored band, where the coloring represents the bias. Let’s call this band FVB (Fair Value Band) for ease of explanation. The FVB represents the final line of defense, the buyer/seller boundary, and in technical terms, it can be viewed as premium/discount zones or support/resistance levels. Within this critical area, the strong side continues its move, while the weaker side is forced to retreat. But does the side that breaks beyond the band always keep going? We all know that’s not always the case — in different pairs and timeframes, price often violates both the upper and lower edges multiple times. To achieve more consistent analysis, we’ll define a new set of rules. ________________________________________ 2 – Mitigation / Order Blocks In trading literature, there are dozens of different definitions and uses of mitigation or order blocks. Here, we will interpret the candlesticks to create our own definition, and we’ll use the zones defined by candles that fit this pattern. For simplicity, let’s abbreviate mitigation as “mtg.” For a candle to be selected as an mtg, it must clearly show strength from one side (buyers or sellers) — which can also be observed visually on the chart. ________________________________________ Bullish mtg criteria: 1. The first candle must be bullish (close > open) → buyers are strong. 2. The next candle makes a new high (buyers push higher) but fails to close above and pulls back to close inside the previous range → sellers react. It also must not break the previous low → buyers defend. 3. In the following candle(s), as long as the first candle’s low is protected and the second candle’s high is broken, it indicates buyer strength → a bullish mtg is confirmed. When price returns to this zone later (gets mitigated), the expectation is that the zone holds and price pushes upward again. If the low is violated, the mtg becomes invalid. In technical terms: If the previous candle’s high is broken but no close occurs above it, the expectation is a reversal move that will retest its low. Question: What if the low is protected and in the next candle(s) a new high forms? Answer: → Bullish mtg. Bearish mtg (opposite) 3 – Buy/Sell Side Liquidity Levels With the help of the aligned higher timeframe (swing points), we will define our market structure framework and set our liquidity targets accordingly. Let’s put the pieces together. If we continue explaining from a trade-focused perspective, our first priority should be our bias — our projection or expectation of the market’s potential movement. We will determine this bias using the FVB. Since we know the band often gets violated on both sides, we want the price action to convince us of its strength. To do that, we’ll use the first candle that closes beyond the band. The distance from that candle’s high to low will be our threshold range Bullish level = high + (candle length × coefficient) Bearish level = low - (candle length × coefficient) When the price closes beyond this threshold, it demonstrates strength, and our bias will now align in that direction. How long will this bias remain valid? → Until a closing candle appears on the opposite side of the band. If a close occurs on the opposite side, then a new bias will only be confirmed once the new threshold level is broken. During the period in between, we have no bias. Let’s continue on the chart: Now that our bias has been established, where and how do we look for trade opportunities? There are two possible entry approaches: • Aggressive entry: Enter immediately with the breakout. • Conservative entry: Wait for a pullback and enter once a suitable structure forms. (The choice depends on the user’s preference.) At this stage, the user can apply their own entry model. Let’s give an example: Let’s assume we’re looking for setups using HTF sweep + LTF CISD confirmation. Once our bias turns bearish, we look for an HTF sweep forming on or near an FVB or mtg block, and then confirm the entry with a CISD signal. In summary: • FVB defines the bias, the entry zone, and the target zone. • Mtg blocks represent entry zones. • BSL / SSL levels suggest target zones. Overlapping FVB and mtg blocks are expected to be more effective. The indicator also provides an option for a second FVB. A band attached to a lower timeframe can be used as confirmation. • Main band: Bias + FVB • Extra band: Entry trigger confirmed by a close beyond it. Mtg blocks can provide trade entry opportunities, especially when the price is moving strongly in one direction (flow). Consecutive or complementary mtg blocks indicate that the price is decisive in one direction, while sometimes also showing areas where we should wait before entering. Mtg blocks that contain an FVG (Fair Value Gap) within their body are expected to be more effective. Settings: The default values are set to 1-3-5m, optimized for scalping trades. VWAP settings: Main VWAP (FVB): • Can be set by selecting a start time, manually entering date and time, or choosing a predefined level. Extra VWAP (FVB): • Set from the menu. If not needed, select “none.” • Visibility, color, and fill settings for VWAP are located here. • Threshold levels visibility and color options are also in this section. • The multiplier is used for calculating the threshold level. Important: • If the Extra VWAP is selected but not displayed, you need to increase the chart timeframe. o Example: If the chart is on 3m and you select WH from the extra options, it will not display correctly. • Upper limits for VWAP: o 1m and 3m charts: daily High/Low o 5m chart: weekly High/Low ________________________________________ Mtg Settings: • Visibility and color settings for blocks are configured here. • To display on a second timeframe, the box must be checked and the timeframe specified. • Optional display modes: “only active blocks,” “only last violated mtg,” or “all.” • For confirmation and removal criteria, choosing high/low or close determines the source used for mtg block formation and deletion conditions. BSL/SSL Settings: • Visibility, color, font size, and line style can be configured in this section. When “Auto” is selected, the aligned timeframe is determined automatically by the indicator, while in manual mode, the user defines the timeframe. Final Words: Simply opening trades every time the price touches the VWAP or mtg blocks will not make you a profitable trader. Searching for setups with similar structures while maintaining proper risk management will yield better results in the long run. I would be happy to hear your feedback and suggestions. Happy trading!
Pine Script® Indikator
von cdikici71
26
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break. What it does This tool plots three families of high-signal reference lines and keeps them tidy as price evolves: Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits. Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes. Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed). Why these levels matter Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity: Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view: Cleaner charts — Auto-remove broken lines so you focus on what still matters right now. What it plots (at a glance) Past Chosen Day High/Low for up to N prior weeks (your choice), extended right. Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension. Optional short labels (e.g., “Mon High”) or full labels (with week/month info). How breaks are detected & cleaned You control both the evidence and the timing of a “break”: Break uses — Choose Close (more conservative) or Wick (more sensitive). Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross. Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes. Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: ) Quick start Pick a Day of Week to Track (e.g., Monday). Set how many weeks back to show (e.g., 8–10). Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens). Decide if a break uses Close or Wick , and whether equality counts. Toggle Remove Broken Levels to keep the chart clean automatically. Tips by use-case Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See: Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim. Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example: Customization Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter). Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency. Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info). Color scheme — Separate colors for highs, lows, and each of D/W/M opens. Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible. What’s under the hood On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars. At each new day/week/month , it records the opening price and projects that line forward as well. Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on. Everything updates in real time; past levels don’t repaint after the session finishes. Recommended presets Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on. Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L. Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity. Reading the examples Broken lines disappear — decluttering in action: Macro outlook — monthly opens as cycle rails: Liquidity map — previous day highs + daily open: Final note These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Pine Script® Indikator
von BackQuant
6
Multi-Timeframe SMTSummery The Multi-Timeframe SMT indicator is designed to identify and visualize Higher Timeframe (HTF) data on a Lower Timeframe (LTF) chart, allowing traders to see the broader market context without changing their current chart's resolution. It accurately draws pivots and SMT divergences from higher timeframes on the corresponding candles of your current lower timeframe chart. Its core features include: Multi-Timeframe Analysis: Configure and monitor pivots on up to four independent timeframes, from intraday to monthly. Customizable Pivot Detection: Define the strength of pivots by adjusting the number of bars to the left and right. SMT Divergence: Automatically identifies bullish and bearish SMT divergences by comparing the price action of the main chart symbol with a chosen correlated asset. Early SMT Detection: A unique feature that monitors a lower "detection timeframe" to provide early warnings of potential SMT setups before they're confirmed on the main timeframe. Note that this early detection is only shown on timeframes equal to or lower than the "Detection timeframe" you have set. Visual Cues & Alerts: Clear on-chart labels, lines, and fully customizable alerts notify you of confirmed pivots and SMT divergences, ensuring you don't miss key opportunities. Important Nuance Regarding Pivot Label Display Due to a self-imposed limit within this script's drawing management logic, the indicator might quickly reach its drawing capacity if you enable pivot crosses for multiple timeframes simultaneously. When this internal drawing limit is exceeded, the script is designed to automatically remove the oldest drawings to make space for new ones. Therefore, to ensure optimal performance and visibility of the most recent and relevant pivots, it's highly recommended to only enable the "Show Pivot Crosses" option for one timeframe at a time. If you wish to view pivots for a different timeframe, simply disable the pivot crosses for the currently active timeframe and then enable them for your desired one. This approach prevents the rapid cycling and disappearance of pivot labels, providing a clearer and more stable visual experience. In-Depth Explanation of the Logic This script is built on two primary concepts: pivot points and Smart Money Technique (SMT) divergence. It systematically collects historical data on multiple timeframes, identifies pivots, and then compares them between two assets to find divergences. Pivot Point Identification A pivot is a turning point in the market. A pivot high is a candle that has a higher high than the candles to its immediate left and right. Conversely, a pivot low is a candle with a lower low than its neighbors. How it Works in the Script: The script tracks the highest high and lowest low for each period of the selected timeframe (e.g., for each 4-hour candle). When a new high-timeframe candle closes, it stores that high/low value and its bar index in an array. The checkForPivot() function then checks if a recently stored high or low qualifies as a pivot. Key Inputs: Left Strength (leftBars1): The number of candles to the left that must have a lower high (for a pivot high) or higher low (for a pivot low). Right Strength (rightBars1): The number of candles to the right that must meet the same criteria. For example, with Left Strength and Right Strength both set to 3, a pivot high is only confirmed when its high is greater than the highs of the 3 previous high-timeframe candles and the 3 subsequent high-timeframe candles. Increasing these values will identify more significant, longer-term pivots. Smart Money Technique (SMT) Divergence SMT Divergence is a concept popularized by The Inner Circle Trader (ICT). It occurs when two closely correlated assets fail to move in sync. For instance, if Asset A makes a higher high but Asset B fails to do so and instead makes a lower high, this creates a bearish SMT divergence. It suggests that the "smart money" may not be supporting the move in Asset A, signaling a potential reversal. Bearish SMT: Main asset makes a higher high, while the correlated asset makes a lower high. This is a potential sell signal. Bullish SMT: Main asset makes a lower low, while the correlated asset makes a higher low. This is a potential buy signal. How it Works in the Script: Data Request: For each timeframe, the script uses the request.security() function to fetch the high and low data for both the main chart symbol (syminfo.tickerid) and the chosen Comparison Asset. Pivot Comparison: When a new pivot is confirmed on the main asset, the script checks if a corresponding pivot also formed on the comparison asset at the same time. Divergence Check: It then compares the direction of the pivots. For a bearish SMT, it checks if the main asset's new pivot high is higher than its previous pivot high, while the comparison asset's new pivot high is lower than its previous one. The logic is reversed for bullish SMT. Visualization: If a divergence is found, the script draws a red (bearish) or green (bullish) line connecting the two pivots on your chart and places an "SMT" label. Early SMT Detection This is a proactive feature designed to give you a heads-up. Waiting for a 4-hour or daily pivot to form can take a long time. The early detection system looks for SMT divergences on a much smaller, user-defined Detection timeframe (e.g., 15-minute). How it Works in the Script: Awaiting Setup: After a primary pivot (Pivot A) is formed on the main timeframe (e.g., a Daily pivot high), the script begins monitoring. Intraday Monitoring: It then watches the Detection timeframe (e.g., 15-minute) for smaller intraday pivots. Potential Divergence: It looks for an intraday pivot that forms a divergence against the primary Pivot A. Watchline & Alert: When this "potential" divergence occurs, the script draws a dashed white line and triggers a "Potential SMT" alert. This isn't a confirmed SMT on the main timeframe yet, but it's a powerful early warning that one may be forming. Drawing & Object Management To keep the chart clean and prevent performance issues, the script manages its drawings (lines and labels) efficiently. It stores them in arrays and uses a drawing limit to automatically delete the oldest drawings as new ones are created, ensuring your TradingView remains responsive. How to Use the Indicator Configuration Enable Timeframes: Use the checkboxes (Enable Timeframe 1, Enable Timeframe 2, etc.) to activate the timeframes you want to monitor. It's often best to start with one or two to keep the chart clean. Select Timeframes: Choose the higher timeframes you want to analyze (e.g., 240 for 4-hour, D for Daily, W for Weekly). Set Pivot Strength: The default of 3 for Left/Right strength is a good starting point. Increase it to find more significant market structure points or decrease it for more frequent, shorter-term pivots. Configure SMT: Check Enable SMT for the timeframes where you want to detect divergence. Enter a Comparison Asset . This is crucial. Ensure the assets are correlated. To use the early warning system, check Enable early SMT detection and select an appropriate Detection timeframe (e.g., 15 or 60 minutes for a Daily analysis).
Pine Script® Indikator
von nickbonenkamp
3
Swing High/Low with Liquidity Sweeps🧠 Overview This indicator identifies swing highs and swing lows based on user-defined candle lengths and checks for liquidity sweeps—situations where the price breaks a previous swing level but then closes back inside, indicating a potential false breakout or stop hunt. It also supports visual labeling and alerts for these events. ⚙️ Inputs Swing Length (must be odd number ≥ 3): Determines how many candles are used to identify swing highs/lows. The central candle must be higher or lower than all neighbors within the range. Example: If swingLength = 5, the central candle must be higher/lower than the 2 candles on both sides. Sweep Lookback (bars): Defines how many bars to look back for possible liquidity sweeps. Show Swing Labels (checkbox): Optionally display labels on the chart when a swing high or low is detected. Show Sweep Labels (checkbox): Optionally display labels on the chart when a liquidity sweep occurs. 🕯️ Swing Detection Logic A Swing High is detected when the high of the central candle is greater than the highs of all candles around it (as per the defined length). A Swing Low is detected when the low of the central candle is lower than the lows of surrounding candles. Swing labels are placed slightly above (for highs) or below (for lows) the candle. 💧 Liquidity Sweep Logic A Sweep High is triggered if: The current high breaks above a previously detected swing high, And then the candle closes below that swing high, Within the configured lookback window. A Sweep Low is triggered if: The current low breaks below a previous swing low, And then closes above it, Within the lookback window. These are often seen as stop hunts or fake breakouts. 🔔 Alerts Sweep High Alert: Triggered when a sweep above a swing high occurs. Sweep Low Alert: Triggered when a sweep below a swing low occurs. You can use these to set up TradingView alerts to notify you of potential liquidity grabs. 📊 Use Cases Identifying market structure shifts. Spotting fake breakouts and potential reversals. Assisting in smart money concepts and liquidity-based trading. Supporting entry timing in trend continuation or reversal strategies.
Pine Script® Indikator
von TradePro1000
Initial balance - weeklyWeekly Initial Balance (IB) — Indicator Description The Weekly Initial Balance (IB) is the price range (High–Low) established during the week’s first trading session (most commonly Monday). You can measure it over the entire day or just the first X hours (e.g. 60 or 120 minutes). Once that session ends, the IB High and IB Low define the key levels where the initial weekly range formed. Why Measure the Weekly IB? Week-Opening Sentiment: Monday’s range often sets the tone for the rest of the week. Trading above the IB High signals bullish control; trading below the IB Low signals bearish control. Key Liquidity Zones: Large institutions tend to place orders around these extremes, so you’ll frequently see tests, breakouts, or rejections at these levels. Support & Resistance: The IB High and IB Low become natural barriers. Price will often return to them, bounce off them, or break through them—ideal spots for entries and exits. Volatility Forecast: The width of the IB (High minus Low) indicates whether to expect a volatile week (wide IB) or a quieter one (narrow IB). Significance of IB Levels Breakout: A clear break above the IB High (for longs) or below the IB Low (for shorts) can ignite a strong trending move. Fade: A rejection off the IB High/Low during low momentum (e.g. low volume or pin-bar formations) offers a high-probability reversal trade. Mid-Point: The 50% level of the IB range often “magnetizes” price back to it, providing entry points for continuation or reversal strategies. Three Core Monday IB Strategies A. Breakout (Open-Range Breakout) Entry: Wait for 1–2 candles (e.g. 5-minute) to close above IB High (long) or below IB Low (short). Stop-Loss: A few pips below IB High (long) or above IB Low (short). Profit-Target: 2–3× your risk (Reward:Risk ≥ 2:1). Best When: You spot a clear impulse—such as a strong pre-open volume spike or news-driven move. B. Fade (Reversal at Extremes) Entry: When price tests IB High but shows weakening momentum (shrinking volume, upper-wick candles), enter short; vice versa for IB Low and longs. Stop-Loss: Just beyond the IB extreme you’re fading. Profit-Target: Back toward the IB mid-point (50% level) or all the way to the opposite IB extreme. Best When: Monday’s action is range-bound and lacks a clear directional trend. C. Mid-Point Trading Entry: When price returns to the 50% level of the IB range. In an up-trend: buy if it bounces off mid-point back toward IB High. In a down-trend: sell if it reverses off mid-point back toward IB Low. Stop-Loss: Just below the nearest swing-low (for longs) or above the nearest swing-high (for shorts). Profit-Target: To the corresponding IB extreme (High or Low). Best When: You see a strong initial move away from the IB, followed by a pullback to the mid-point. Usage Steps Configure your session: Measure IB over your chosen Monday timeframe (whole day or first X hours). Choose your strategy: Align Breakout, Fade, or Mid-Point entries with the current market context (trend vs. range). Manage risk: Keep risk per trade ≤ 1% of account and maintain at least a 2:1 Reward:Risk ratio. Backtest & forward-test: Verify performance over multiple Mondays and in a paper-trading environment before going live.
Pine Script® Indikator
von Alpachino97
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.
Pine Script® Indikator
von CoffeeKiller
CYCLE BY RiotWolftradingDescription of the "CYCLE" Indicator The "CYCLE" indicator is a custom Pine Script v5 script for TradingView that visualizes cyclic patterns in price action, dividing the trading day into specific sessions and 90-minute quarters (Q1-Q4). It is designed to identify and display market phases (Accumulation, Manipulation, Distribution, and Continuation/Reversal) along with key support and resistance levels within those sessions. Additionally, it allows customization of boxes, lines, labels, and colors to suit user preferences. Main Features Cycle Phases: Accumulation (1900-0100): Represents the phase where large operators accumulate positions. Manipulation (0100-0700): Identifies potential manipulative moves to mislead retail traders. Distribution (0700-1300): The phase where large operators distribute their positions. Continuation/Reversal (1300-1900): Indicates whether the price continues the trend or reverses. 90-Minute Quarters (Q1-Q4): Divides each 6-hour cycle (360 minutes) into four 90-minute quarters (Q1: 00:00-01:30, Q2: 01:30-03:00, Q3: 03:00-04:30, Q4: 04:30-06:00 UTC). Each quarter is displayed with a colored box (Q1: light purple, Q2: light blue, Q3: light gray, Q4: light pink) and labels (defaulted to black). Support and Resistance Visualization: Draws boxes or lines (based on settings) showing the high and low levels of each session. Optionally displays accumulated volume at the highs and lows within the boxes. Daily Lines and Last 3 Boxes: How to Use the Indicator Step 1: Add the Indicator to TradingView Open TradingView and select the chart where you want to apply the indicator (e.g., UMG9OOR on a 5-minute timeframe, as shown in the screenshot). Go to the Pine Editor (at the bottom of the TradingView interface). Copy and paste the provided code. Click Compile and then Add to Chart. Step 2: Configure the Indicator Click on the indicator name on the chart ("CYCLE") and select Settings (or double-click the name). Adjust the options based on your needs: Cycle Phases: Enable/disable phases (Accumulation, Manipulation, Distribution, Continuation/Reversal) and adjust their time slots if needed. 90-Minute Quarters: Enable/disable quarters (Q1-Q4). Step 3: Interpret the Indicator Identify Cycle Phases: Observe the red boxes indicating the phases (Accumulation, Manipulation, etc.). The high and low levels within each phase are potential support/resistance zones. If volume is enabled, pay attention to the accumulated volume at highs and lows, as it may indicate the strength of those levels. Use the 90-Minute Quarters (Q1-Q4): The colored boxes (Q1-Q4) divide the day into 90-minute segments. Each quarter shows the price range (high and low) during that period. Use these boxes to identify price patterns within each quarter, such as breakouts or consolidations. The labels (Q1, Q2, etc.) help you track time and anticipate potential moves in the next quarter. Analyze Support and Resistance: The high and low levels of each phase/quarter act as support and resistance. Daily lines (if enabled) show key levels from the previous day, useful for planning entries/exits. The "last 3 boxes below price" (if enabled) highlight potential support levels the price might target. Avoid Manipulation: During the Manipulation phase (0100-0700), be cautious of sharp moves or false breakouts. Use the high/low levels of this phase to identify potential traps (as explained in your first question about manipulation candles). Step 4: Trading Strategy Entries and Exits: Support/Resistance: Use the high/low levels of phases and quarters to set entry or exit points. For example, if the price bounces off a Q1 support level, consider a buy. Breakouts: If the price breaks a high/low of a quarter (e.g., Q2), wait for confirmation to enter in the direction of the breakout. Volume: If accumulated volume is high near a key level, that level may be more significant. Risk Management: Place stop-loss orders below lows (for buys) or above highs (for sells) identified by the indicator. Avoid trading during the Manipulation phase unless you have a specific strategy to handle false breakouts. Time Context: Use the quarters (Q1-Q4) to plan your trades based on time. For example, if Q3 is typically volatile in your market, prepare for larger moves between 03:00-04:30 UTC. Step 5: Adjustments and Testing Test on Different Timeframes: The indicator is set for a 5-minute timeframe (as in the screenshot), but you can test it on other timeframes (e.g., 1-minute, 15-minute) by adjusting the time slots if needed. Adjust Colors and Styles: If the default colors are not visible on your chart, change them for better clarity. --- 📌 1. **Accumulation: Strong Institutional Activity** - During the **accumulation phase, we see **high volume: 82.773K, which suggests strong buying interest**, likely from institutional players. - This sets the base for the following upward move in price. --- 📌 2. **Manipulation: False Breakout with Lower Volume** - Later, there's a manipulation phase where price breaks above previous highs, but the volume (71.814K) is **lower than during accumulation**. - This implies that buyers are not as aggressive as before—no real demandbehind the breakout. - It’s likely a bull trap, where smart money is selling into the breakout to exit their positions. --- ### 📌 3. Distribution: Weakness and Lack of Demand - The market enters a distribution phase, and volume drops even further (only 7.914K). - Price struggles to go higher, and you start seeing rejections at the top. - This shows that demand is drying up, and smart money is offloading positions**—not accumulating anymore. --- ### 💡 Why Take the Short Here? - Volume is not increasing with new highs—showing weak demand**. - The manipulation volume is weaker than the accumulation volume, confirming the breakout was likely false. - Structure starts to break down (Q levels falling), which confirms weakness. - This creates a high-probability short setup: - **Entry:** after confirmation of distribution and structural breakdown. - **Stop loss:** above the manipulation high. - **Target:** down toward previous lows or value zones. --- ### ✅ Conclusion Since the manipulation volume failed to exceed the accumulation volume, the breakout lacked real strength. Combined with decreasing volume in the distribution phase, this indicates fading demand and supply taking control—which justifies entering a short position.
Pine Script® Indikator
von anarkiacapital
1
Highs & Lows - Multi TimeFrame### **📌 HL-MWD (Highs & Lows - Multi Timeframe Indicator) – Community Release** #### **🔹 Overview** The **HL-MWD Indicator** is a **multi-timeframe support & resistance tool** that plots **historical highs and lows** from **daily, weekly, and monthly timeframes** onto an intraday chart. It helps traders **identify key levels of support and resistance** that have influenced price action over different timeframes. This indicator is useful for **day traders, swing traders, and position traders** who rely on **multi-timeframe analysis** to spot critical price levels. --- ### **🔥 Key Features** ✅ **Plots Highs & Lows for Daily, Weekly, and Monthly Timeframes** ✅ **Customizable Lookback Periods for Each Timeframe** ✅ **Adjustable Line Colors, Styles (Solid, Dotted, Dashed), and Widths** ✅ **Extend Lines into the Future to Identify Key Price Levels** ✅ **Option to Display Price Labels for Each Level** ✅ **Gradient Option to Highlight Recent Highs & Lows (Disabled by Default)** ✅ **Compatible with Intraday, Daily, and Weekly Charts** --- ### **📈 How It Works** - **Daily Highs & Lows:** Captures the **highest and lowest prices** within the selected lookback period (default: **14 bars**). - **Weekly Highs & Lows:** Marks the **highest and lowest prices** within the chosen weekly lookback (default: **52 bars**). - **Monthly Highs & Lows:** Displays the **high and low points** from the monthly timeframe (default: **36 bars**). - **Extended Lines:** Project past highs and lows **into the future** to help identify **potential support & resistance zones**. --- ### **⚠️ TradingView Lookback Limitations** 🔹 **TradingView has a limit on how many historical bars can be accessed per timeframe**, which affects how far back the indicator can retrieve data. 🔹 **Intraday charts (e.g., 5m, 15m) have a limited number of past bars**, meaning: - **You won’t be able to view 36 months' worth of monthly levels** on a **5-minute chart**, because TradingView doesn’t store that much data in lower timeframes. - **If multiple timeframes (e.g., weekly + monthly) are enabled at the same time**, some historical data may **not be available on shorter timeframes**. 🔹 **Recommendation:** - If using **monthly lookbacks (36 months+), view them on a daily or higher timeframe**. - If using **weekly lookbacks (52 weeks+), higher intraday timeframes (e.g., 1-hour, 4-hour) are better suited**. - **Lower timeframes (1m, 5m, 15m) may miss some levels** if TradingView's bar limit is exceeded. --- ### **⚙️ Customization Options** | **Setting** | **Default Value** | **Description** | |------------------|----------------|----------------| | **Daily Lookback** | `14` | Number of bars used to calculate daily highs/lows. | | **Weekly Lookback** | `52` | Number of bars used to calculate weekly highs/lows. | | **Monthly Lookback** | `36` | Number of bars used to calculate monthly highs/lows. | | **Line Colors** | Daily: `Blue` Weekly: `Green` Monthly: `Red` | Customizable colors for each timeframe. | | **Line Style** | `Solid` | Options: Solid, Dashed, Dotted. | | **Line Width** | `1` | Thickness of the plotted lines. | | **Extend Line** | `1` | Controls how far the highs/lows extend into the future. | | **Display Price Labels** | `Enabled` | Shows price labels on each level. | --- ### **🛠️ How to Use It** - **Enable/disable different timeframes** based on your strategy. - **Customize colors, line styles, and widths** to match your charting style. - **Use extended lines to identify support & resistance zones.** - **Watch price reactions at these levels** for potential entries, exits, and stop-loss placements. --- ### **🚀 Final Thoughts** The **HL-MWD Indicator** is a **powerful multi-timeframe tool** that helps traders **visualize key support & resistance levels** from higher timeframes on an intraday chart. ⚠️ **However, TradingView’s lookback limits apply—so for longer-term levels, higher timeframes are recommended.** 📌 **Now published for the community!** Let me know if you need any last-minute tweaks! 🔥
Pine Script® Indikator
von Bucknut206
Previous Day High and Low Count with Probabilities Indicator Explanation This indicator displays the number of days on which the previous day's high or low prices were not reached and calculates probabilities for future price movements based on this information. It stores the high and low values of the last 45 days and checks daily whether these levels were touched. Based on the number of days without touching either the high or the low, the indicator calculates the probability of future price movements in either direction (Up or Down). The indicator offers customization options for label placement and color on the chart. The counts for the high and low touches, along with the calculated probabilities (in percentages), are displayed as labels on the chart. These labels can be shifted along the X-axis by up to 50 bars and can be customized in color and size. Additionally, the text for the labels can be freely chosen, giving the user improved flexibility and overview. In summary, this indicator helps to: - Track how often previous day's high and low levels were not reached. - Estimate probabilities for future price movements based on this information. - Customize the chart display for easier interpretation. Strategy Concept Probability and Touch Conditions: A long position is entered only if: The probability of reaching the high is at least 60%. The price has not touched the previous day’s high in the last three days. Similarly, for short positions: The probability of reaching the low is at least 60%. The price has not touched the previous day’s low in the last three days. Incremental Position Size Increase: On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened. On the 4th day, an additional position of 0.01 lots is added. On the 5th day, an extra position of 0.02 lots is opened. After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered. Trend Reversal Detection: The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened. Adjustments and Risk Management This strategy can be adjusted by modifying the probability values, the number of days without a high/low touch, and the lot sizes. Additionally, stop-loss and take-profit levels can be added to further control the risk and secure profits. Strategy Concept Probability and Touch Conditions: A long position is entered only if: The probability of reaching the high is at least 60%. The price has not touched the previous day’s high in the last three days. Similarly, for short positions: The probability of reaching the low is at least 60%. The price has not touched the previous day’s low in the last three days. Incremental Position Size Increase: On the 3rd consecutive day without a high/low touch and with the probability condition met, an initial position of 0.01 lots is opened. On the 4th day, an additional position of 0.01 lots is added. On the 5th day, an extra position of 0.02 lots is opened. After a two-day pause, the situation is re-evaluated, and if conditions are still met, a 0.04-lot position is considered. Trend Reversal Detection: The strategy also includes a simple trend reversal check. If the market shows clear reversal signals, no new positions will be opened. Risk Disclaimer The author of this strategy does not assume any liability for potential losses or gains that may arise from the use of this strategy. Trading involves significant risk, and it is important to only trade with capital that you can afford to lose. The strategy presented is for educational purposes only and should not be considered as financial advice. Always conduct your own research and consider seeking advice from a professional financial advisor before making any trading decisions.
Pine Script® Indikator
von morris220768
Nasan Hull-smoothed envelope The Nasan Hull-Smoothed Envelope indicator is a sophisticated overlay designed to track price movement within an adaptive "envelope." It dynamically adjusts to market volatility and trend strength, using a series of smoothing and volatility-correction techniques. Here's a detailed breakdown of its components, from the input settings to the calculated visual elements: Inputs look_back_length (500): Defines the lookback period for calculating intraday volatility (IDV), smoothing it over time. A higher value means the indicator considers a longer historical range for volatility calculations. sl (50): Sets the smoothing length for the Hull Moving Average (HMA). The HMA smooths various lines, creating a balance between sensitivity and stability in trend signals. mp (1.5): Multiplier for IDV, scaling the volatility impact on the envelope. A higher multiplier widens the envelope to accommodate higher volatility, while a lower one tightens it. p (0.625): Weight factor that determines the balance between extremes (highest high and lowest low) and averages (sma of high and sma of low) in the high/low calculations. A higher p gives more weight to extremes, making the envelope more responsive to abrupt market changes. Volatility Calculation (IDV) The Intraday Volatility (IDV) metric represents the average volatility per bar as an exponentially smoothed ratio of the high-low range to the close price. This is calculated over the look_back_length period, providing a base volatility value which is then scaled by mp. The IDV enables the envelope to dynamically widen or narrow with market volatility, making it sensitive to current market conditions. Composite High and Low Bands The high and low bands define the upper and lower bounds of the envelope. High Calculation a_high: Uses a multi-period approach to capture the highest highs over several intervals (5, 8, 13, 21, and 34 bars). Averaging these highs provides a more stable reference for the high end of the envelope, capturing both immediate and recent peak values. b_high: Computes the average of shorter simple moving averages (5, 8, and 13 bars) of the high prices, smoothing out fluctuations in the recent highs. This generates a balanced view of high price trends. high_c: Combines a_high and b_high using the weight p. This blend creates a composite high that balances between recent peaks and smoothed averages, making the upper envelope boundary adaptive to short-term price shifts. Low Calculation a_low and b_low: Similar to the high calculation, these capture extreme lows and smooth low values over the same intervals. This approach creates a stable and adaptive lower bound for the envelope. low_c: Combines a_low and b_low using the weight p, resulting in a composite low that adjusts to price fluctuations while maintaining a stable trend line. Volatility-Adjusted Bands The final composite high (c_high) and composite low (c_low) bands are adjusted using IDV, which accounts for intraday volatility. When volatility is high, the bands expand; when it’s low, they contract, providing a visual representation of volatility-adjusted price bounds. Basis Line The basis line is a Hull Moving Average (HMA) of the average of c_high and c_low. The HMA is known for its smoothness and responsiveness, making the basis line a central trend indicator. The color of the basis line changes: Green when the basis line is increasing. Red when the basis line is decreasing. This color-coded basis line serves as a quick visual reference for trend direction. Short-Term Trend Strength Block This component analyzes recent price action to assess short-term bullish and bearish momentum. Conditions (green, red, green1, red1): These are binary conditions that categorize price movements as bullish or bearish based on the close compared to the open and the close’s relationship with the exponential moving average (EMA). This separation helps capture different types of strength (above/below EMA) and different bullish or bearish patterns. Composite Trend Strength Values: Each of the bullish and bearish counts (above and below the EMA) is normalized, resulting in the following values: green_EMAup_a and red_EMAup_a for bullish and bearish strength above the EMA. green_EMAdown_a and red_EMAdown_a for bullish and bearish strength below the EMA. Trend Strength (t_s): This calculated metric combines the normalized trend strengths with extra weight to conditions above the EMA, giving more relevance to trends that have momentum behind them. Enhanced Trend Strength avg_movement: Calculates the average absolute price movement over the short_term_length, providing a measurement of recent price activity that scales with volatility. enhanced_t_s: Multiplies t_s by avg_movement, creating an enhanced trend strength value that reflects both directional strength and the magnitude of recent price movement. min and max: Minimum and maximum percentile thresholds, respectively, based on enhanced_t_s for controlling the color gradient in the fill area. Fill Area The fill area between plot_c_high and plot_c_low is color-coded based on the enhanced trend strength (enhanced_t_s): Gradient color transitions from blue to green based on the strength level, with blue representing weaker trends and green indicating stronger trends. This visual fill provides an at-a-glance assessment of trend strength across the envelope, with color shifts highlighting momentum shifts. Summary The indicator’s purpose is to offer an adaptive price envelope that reflects real-time market volatility and trend strength. Here’s what each component contributes: Basis Line: A trend-following line in the center that adjusts color based on trend direction. Envelope (c_high, c_low): Adapts to volatility by expanding and contracting based on IDV, giving traders a responsive view of expected price bounds. Fill Area: A color-gradient region representing trend strength within the envelope, helping traders easily identify momentum changes. Overall, this tool helps to identify trend direction, market volatility, and strength of price movements, allowing for more informed decisions based on visual cues around price boundaries and trend momentum.
Pine Script® Indikator
von federalTacos5392b
Price Action Smart Money Concepts [BigBeluga]THE SMART MONEY CONCEPTS Toolkit The Smart Money Concepts [ BigBeluga ] is a comprehensive toolkit built around the principles of "smart money" behavior, which refers to the actions and strategies of institutional investors. The Smart Money Concepts Toolkit brings together a suite of advanced indicators that are all interconnected and built around a unified concept: understanding and trading like institutional investors, or "smart money." These indicators are not just randomly chosen tools; they are features of a single overarching framework, which is why having them all in one place creates such a powerful system. This all-in-one toolkit provides the user with a unique experience by automating most of the basic and advanced concepts on the chart, saving them time and improving their trading ideas. Real-time market structure analysis simplifies complex trends by pinpointing key support, resistance, and breakout levels. Advanced order block analysis leverages detailed volume data to pinpoint high-demand zones, revealing internal market sentiment and predicting potential reversals. This analysis utilizes bid/ask zones to provide supply/demand insights, empowering informed trading decisions. Imbalance Concepts (FVG and Breakers) allows traders to identify potential market weaknesses and areas where price might be attracted to fill the gap, creating opportunities for entry and exit. Swing failure patterns help traders identify potential entry points and rejection zones based on price swings. Liquidity Concepts, our advanced liquidity algorithm, pinpoints high-impact events, allowing you to predict market shifts, strong price reactions, and potential stop-loss hunting zones. This gives traders an edge to make informed trading decisions based on liquidity dynamics. 🔵 FEATURES The indicator has quite a lot of features that are provided below: Swing market structure Internal market structure Mapping structure Adjustable market structure Strong/Weak H&L Sweep Volumetric Order block / Breakers Fair Value Gaps / Breakers (multi-timeframe) Swing Failure Patterns (multi-timeframe) Deviation area Equal H&L Liquidity Prints Buyside & Sellside Sweep Area Highs and Lows (multi-timeframe) 🔵 BASIC DEMONSTRATION OF ALL FEATURES 1. MARKET STRUCTURE The preceding image illustrates the market structure functionality within the Smart Money Concepts indicator. ➤ Solid lines: These represent the core indicator's internal structure, forming the foundation for most other components. They visually depict the overall market direction and identify major reversal points marked by significant price movements (denoted as 'x'). ➤ Internal Structure: These represent an alternative internal structure with the potential to drive more rapid market shifts. This is particularly relevant when a significant gap exists in the established swing structure, specifically between the Break of Structure (BOS) and the most recent Change of High/Low (CHoCH). Identifying these formations can offer opportunities for quicker entries and potential short-term reversals. ➤ Sweeps (x): These signify potential turning points in the market where liquidity is removed from the structure. This suggests a possible trend reversal and presents crucial entry opportunities. Sweeps are identified within both swing and internal structures, providing valuable insights for informed trading decisions. ➤ Mapping structure: A tool that automatically identifies and connects significant price highs and lows, creating a zig-zag pattern. It visualizes market structure, highlights trends, support/resistance levels, and potential breakouts. Helps traders quickly grasp price action patterns and make informed decisions. ➤ Color-coded candles based on market structure: These colors visually represent the underlying market structure, making it easier for traders to quickly identify trends. ➤ Extreme H&L: It visualizes market structure with extreme high and lows, which gives perspective for macro Market Structure. 2. VOLUMETRIC ORDER BLOCKS Order blocks are specific areas on a financial chart where significant buying or selling activity has occurred. These are not just simple zones; they contain valuable information about market dynamics. Within each of these order blocks, volume bars represent the actual buying and selling activity that took place. These volume bars offer deeper insights into the strength of the order block by showing how much buying or selling power is concentrated in that specific zone. Additionally, these order blocks can be transformed into Breaker Blocks. When an order block fails—meaning the price breaks through this zone without reversing—it becomes a breaker block. Breaker blocks are particularly useful for trading breakouts, as they signal that the market has shifted beyond a previously established zone, offering opportunities for traders to enter in the direction of the breakout. Here's a breakdown: ➤ Bear Order Blocks (Red): These are zones where a lot of selling happened. Traders see these areas as places where sellers were strong, pushing the price down. When the price returns to these zones, it might face resistance and drop again. ➤ Bull Order Blocks (Green): These are zones where a lot of buying happened. Traders see these areas as places where buyers were strong, pushing the price up. When the price returns to these zones, it might find support and rise again. These Order Blocks help traders identify potential areas for entering or exiting trades based on past market activity. The volume bars inside blocks show the amount of trading activity that occurred in these blocks, giving an idea of the strength of buying or selling pressure. ➤ Breaker Block: When an order block fails, meaning the price breaks through this zone without reversing, it becomes a breaker block. This indicates a significant shift in market liquidity and structure. ➤ A bearish breaker block occurs after a bullish order block fails. This typically happens when there's an upward trend, and a certain level that was expected to support the market's rise instead gives way, leading to a sharp decline. This decline indicates that sellers have overcome the buyers, absorbing liquidity and shifting the sentiment from bullish to bearish. Conversely, a bullish breaker block is formed from the failure of a bearish order block. In a downtrend, when a level that was expected to act as resistance is breached, and the price shoots up, it signifies that buyers have taken control, overpowering the sellers. 3. FAIR VALUE GAPS: A fair value gap (FVG), also referred to as an imbalance, is an essential concept in Smart Money trading. It highlights the supply and demand dynamics. This gap arises when there's a notable difference between the volume of buy and sell orders. FVGs can be found across various asset classes, including forex, commodities, stocks, and cryptocurrencies. FVGs in this toolkit have the ability to detect raids of FVG which helps to identify potential price reversals. Mitigation option helps to change from what source FVGs will be identified: Close, Wicks or AVG. 4. SWING FAILURE PATTERN (SFP): The Swing Failure Pattern is a liquidity engineering pattern, generally used to fill large orders. This means, the SFP generally occurs when larger players push the price into liquidity pockets with the sole objective of filling their own positions. SFP is a technical analysis tool designed to identify potential market reversals. It works by detecting instances where the price briefly breaks a previous high or low but fails to maintain that breakout, quickly reversing direction. How it works: Pattern Detection: The indicator scans for price movements that breach recent highs or lows. Reversal Confirmation: If the price quickly reverses after breaching these levels, it's identified as an SFP. ➤ SFP Display: Bullish SFP: Marked with a green symbol when price drops below a recent low before reversing upwards. Bearish SFP: Marked with a red symbol when price rises above a recent high before reversing downwards. ➤ Deviation Levels: After detecting an SFP, the indicator projects white lines showing potential price deviation: For bullish SFPs, the deviation line appears above the current price. For bearish SFPs, the deviation line appears below the current price. These deviation levels can serve as a potential trading opportunity or areas where the reversal might lose momentum. With Volume Threshold and Filtering of SFP traders can adjust their trading style: Volume Threshold: This setting allows traders to filter SFPs based on the volume of the reversal candle. By setting a higher volume threshold, traders can focus on potentially more significant reversals that are backed by higher trading activity. SFP Filtering: This feature enables traders to filter SFP detection. It includes parameters such as: 5. LIQUIDITY CONCEPTS: ➤ Equal Lows (EQL) and Equal Highs (EQH) are important concepts in liquidity-based trading. EQL: A series of two or more swing lows that occur at approximately the same price level. EQH: A series of two or more swing highs that occur at approximately the same price level. EQLs and EQHs are seen as potential liquidity pools where a large number of stop loss orders or limit orders may be clustered. They can be used as potential reverse points for trades. This multi-period feature allows traders to select less and more significant EQL and EQH: ➤ Liquidity wicks: Liquidity wicks are a minor representation of a stop-loss hunt during the retracement of a pivot point: ➤ Buy and Sell side liquidity: The buy side liquidity represents a concentration of potential buy orders below the current price level. When price moves into this area, it can lead to increased buying pressure due to the execution of these orders. The sell side liquidity indicates a pool of potential sell orders below the current price level. Price movement into this area can result in increased selling pressure as these orders are executed. ➤ Sweep Liquidation Zones: Sweep Liquidation Zones are crucial for understanding market structure and potential future price movements. They provide insights into areas where significant market participants have been forced out of their positions, potentially setting up new trading opportunities. 🔵 USAGE & EXAMPLES The core principle behind the success of this toolkit lies in identifying "confluence." This refers to the convergence of multiple trading indicators all signaling the same information at a specific point or area. By seeking such alignment, traders can significantly enhance the likelihood of successful trades. MS + OBs The chart illustrates a highly bullish setup where the price is rejecting from a bullish order block (POC), while simultaneously forming a bullish Swing Failure Pattern (SFP). This occurs after an internal structure change, marked by a bullish Change of Character (CHoCH). The price broke through a bearish order block, transforming it into a breaker block, further confirming the bullish momentum. The combination of these elements—bullish order blocks, SFP, and CHoCH—creates a powerful bullish signal, reinforcing the potential for upward movement in the market. SFP + Bear OB This chart above displays a bearish setup with a high probability of a price move lower. The price is currently rejecting from a bear order block, which represents a key resistance area where significant selling pressure has previously occurred. A Swing Failure Pattern (SFP) has also formed near this bear order block, indicating that the price briefly attempted to break above a recent high but failed to sustain that upward movement. This failure suggests that buyers are losing momentum, and the market could be preparing for a move to the downside. Additionally, we can toggle on the Deviation Area in the SFP section to highlight potential levels where price deviation might occur. These deviation areas represent zones where the price is likely to react after the Swing Failure Pattern: BUY – SELL sides + EQL The chart showcases a bullish setup with a high probability of price breaking out of the current sell-side resistance level. The market structure indicates a formation of Equal Lows (EQL), which often suggests a build-up of liquidity that could drive the price higher. The presence of strong buy-side pressure (69%), indicated by the green zone at the bottom, reinforces this bullish outlook. This area represents a key support zone where buyers are outpacing sellers, providing the foundation for a potential upward breakout. EQL + Bull ChoCh This chart illustrates a potential bullish setup, driven by the formation of Equal Lows (EQL) followed by a bullish Change of Character (CHoCH). The presence of Equal Lows often signals a liquidity build-up, which can lead to a reversal when combined with additional bullish signals. Liquidity grab + Bull ChoCh + FVGs This chart demonstrates a strong bullish scenario, where several important market dynamics are at play. The price begins its upward momentum from Liquidity grab following a bullish Change of Character (CHoCH), signaling the transition from a bearish phase to a bullish one. As the price progresses, it performs liquidity grabs, which serve to gather the necessary fuel for further movement. These liquidity grabs often occur before significant price surges, as large market participants exploit these areas to accumulate positions before pushing the price higher. The chart also highlights a market imbalance area, showing strong momentum as the price moves swiftly through this zone. In this examples, we see how the combination of multiple “smart money” tools helps identify a potential trade opportunities. This is just one of the many scenarios that traders can spot using this toolkit. Other combinations—such as order blocks, liquidity grabs, fair value gaps, and Swing Failure Patterns (SFPs)—can also be layered on top of these concepts to further refine your trading strategy. 🔵 SETTINGS Window: limit calculation period Swing: limit drawing function Mapping structure: show structural points Algorithmic Logic: (Extreme-Adjusted) Use max high/low or pivot point calculation Algorithmic loopback: pivot point look back Show Last: Amount of Order block to display Hide Overlap: hide overlapping order blocks Construction: Size of the order blocks Fair value gaps: Choose between normal FVG or Breaker FVG Mitigation: (close - wick - avg) point to mitigate the order block/imbalance SFP lookback: find a higher / lower point to improve accuracy Threshold: remove less relevant SFP Equal H&L: (short-mid-long term) display longer term Liquidity Prints: Shows wicks of candles where liquidity was grabbed Sweep Area: Identify Sweep Liquidation areas By combining these indicators in one toolkit, traders are equipped with a comprehensive suite of tools that address every angle of the Smart Money Concept. Instead of relying on disparate tools spread across various platforms, having them integrated into a single, cohesive system allows traders to easily see confluence and make more informed trading decisions.
Pine Script® Indikator
von BigBeluga
141