Black FridayDESCUENTOS hasta 80 %

Buscar en scripts para "tradingview+金龙指数"

Scout Regiment - D17# Scout Regiment - D17 Indicator ## English Documentation ### Overview Scout Regiment - D17 is a comprehensive TradingView indicator that combines multiple technical analysis tools into one powerful overlay indicator. It provides traders with market structure analysis, divergence detection, volume profiling, smart money concepts, and session analysis. ### Key Features #### 1. **EMA (Exponential Moving Averages)** - **Purpose**: Trend identification and dynamic support/resistance levels - **Configuration**: 13 customizable EMAs with adjustable periods - **Default Active EMAs**: EMA 3 (21), EMA 5 (55), EMA 7 (144), EMA 8 (233) - **Uses**: Identify trend direction, entry/exit points, and trend strength - **Color Coding**: Different colors for easy visual distinction #### 2. **TFMA (Timeframe Moving Averages)** - **Purpose**: Multi-timeframe trend analysis - **Features**: - 3 EMAs on higher timeframes - Dynamic labels showing trend direction - Price difference percentage display - Customizable timeframe settings - **Default Settings**: 21-period timeframe with lengths 55, 144, and 233 - **Benefits**: Align trades with higher timeframe trends #### 3. **DFMA (Daily Frame Moving Averages)** - **Purpose**: Daily timeframe perspective on any chart - **Features**: Similar to TFMA but specifically for daily analysis - **Default Timeframe**: 1D (Daily) - **Use Case**: Long-term trend confirmation and positioning #### 4. **PMA (Price Moving Averages)** - **Purpose**: Price channel analysis with filled areas - **Configuration**: 7 customizable moving averages with fill zones - **Default Lengths**: 12, 144, 169, 288, 338, 576, 676 - **Visual**: Color-filled zones between selected MAs for channel trading #### 5. **VWAP (Volume Weighted Average Price)** - **Purpose**: Institutional trading levels and fair value - **Features**: - Multiple anchor periods (Session, Week, Month, Quarter, Year, etc.) - Standard deviation bands - Corporate event anchoring (Earnings, Dividends, Splits) - **Use Case**: Identify institutional support/resistance and mean reversion opportunities #### 6. **Divergence Detector** - **Purpose**: Identify potential trend reversals - **Supported Indicators**: MACD, MACD Histogram, RSI, Stochastic, CCI, Williams %R, Bias, Momentum, OBV, SOBV, VWmacd, CMF, MFI, and external indicators - **Divergence Types**: - Regular Bullish/Bearish - Hidden Bullish/Bearish - **Features**: - Automatic divergence line drawing - Customizable detection parameters - Color-coded alerts #### 7. **Volume Profile & Node Detection** - **Purpose**: Identify key price levels based on volume distribution - **Features**: - Volume Profile with POC (Point of Control) - Value Area High (VAH) and Value Area Low (VAL) - Peak and trough volume node detection - Highest/lowest volume node highlighting - **Lookback**: Configurable (default 377 bars) - **Use Case**: Identify support/resistance zones and liquidity areas #### 8. **Smart Money Concepts** - **Purpose**: Track institutional trading patterns - **Features**: - Market Structure (BOS - Break of Structure, CHoCH - Change of Character) - Internal and Swing structures - Strong/Weak Highs and Lows - Equal Highs/Lows detection - Fair Value Gaps (FVG) - **Modes**: Historical or Present (latest only) - **Use Case**: Trade with institutional flow #### 9. **Trading Sessions** - **Purpose**: Analyze market behavior during different global sessions - **Available Sessions**: - Asian Session - Sydney, Tokyo, Shanghai, Hong Kong - European Session - London, New York, NYSE - **Features**: - Session boxes with high/low visualization - Real-time countdown timers - Volume and price change tracking - Information table with session statistics - **Customization**: Choose which sessions to display, colors, and box styles ### How to Use #### For Trend Following: 1. Enable EMAs 3, 5, 7, and 8 2. Use TFMA for higher timeframe confirmation 3. Look for price above/below key EMAs for trend direction 4. Use VWAP as additional confirmation #### For Reversal Trading: 1. Enable Divergence Detector with MACD Histogram and Bias 2. Look for divergences at key support/resistance levels 3. Confirm with Smart Money CHoCH signals 4. Use Volume Profile nodes as entry/exit targets #### For Intraday Trading: 1. Enable Trading Sessions 2. Focus on high-volume sessions (London, New York overlap) 3. Use session highs/lows as support/resistance 4. Trade Fair Value Gaps during active sessions #### For Swing Trading: 1. Use DFMA for daily trend 2. Enable PMA for channel identification 3. Look for price reactions at volume profile value areas 4. Confirm with swing structure breaks ### Best Practices 1. **Don't Overcrowd**: Enable only the components you need for your strategy 2. **Multi-Timeframe Analysis**: Always check higher timeframe TFMA/DFMA 3. **Confluence**: Look for multiple signals confirming the same direction 4. **Volume Confirmation**: Use Volume Profile to validate price action 5. **Session Awareness**: Be aware of which session is active for volatility expectations ### Performance Optimization - Disable unused features to improve chart loading speed - Use "Present Mode" for Smart Money Concepts if historical data isn't needed - Reduce Volume Profile lookback period on slower devices ### Alerts The indicator includes alert conditions for: - All divergence types (8 conditions) - Smart Money structure breaks (8 conditions) - Equal highs/lows detection - Fair Value Gaps formation --- ## 中文说明文档 ### 概述 Scout Regiment - D17 是一款综合性TradingView指标，将多个技术分析工具整合到一个强大的叠加指标中。它为交易者提供市场结构分析、背离检测、成交量分析、聪明钱概念和时区分析。 ### 核心功能 #### 1. **EMA（指数移动平均线）** - **用途**：趋势识别和动态支撑阻力位 - **配置**：13条可自定义周期的EMA - **默认启用**：EMA 3（21）、EMA 5（55）、EMA 7（144）、EMA 8（233） - **应用**：识别趋势方向、进出场点位和趋势强度 - **颜色编码**：不同颜色便于视觉区分 #### 2. **TFMA（时间框架移动平均线）** - **用途**：多时间框架趋势分析 - **特点**： - 3条更高时间框架的EMA - 显示趋势方向的动态标签 - 价格差异百分比显示 - 可自定义时间框架设置 - **默认设置**：21周期时间框架，长度为55、144和233 - **优势**：使交易与更高时间框架趋势保持一致 #### 3. **DFMA（日线框架移动平均线）** - **用途**：在任何图表上提供日线时间框架视角 - **特点**：与TFMA类似，但专门用于日线分析 - **默认时间框架**：1D（日线） - **使用场景**：长期趋势确认和定位 #### 4. **PMA（价格移动平均线）** - **用途**：价格通道分析与填充区域 - **配置**：7条可自定义的移动平均线，带填充区域 - **默认长度**：12、144、169、288、338、576、676 - **视觉效果**：选定MA之间的彩色填充区域，用于通道交易 #### 5. **VWAP（成交量加权平均价格）** - **用途**：机构交易水平和公允价值 - **特点**： - 多个锚定周期（交易日、周、月、季度、年等） - 标准差波段 - 企业事件锚定（财报、分红、拆股） - **使用场景**：识别机构支撑阻力和均值回归机会 #### 6. **背离检测器** - **用途**：识别潜在趋势反转 - **支持指标**：MACD、MACD柱状图、RSI、随机指标、CCI、威廉指标、乖离率、动量、OBV、SOBV、VWmacd、CMF、MFI及外部指标 - **背离类型**： - 常规看涨/看跌背离 - 隐藏看涨/看跌背离 - **特点**： - 自动绘制背离连线 - 可自定义检测参数 - 颜色编码警报 #### 7. **成交量分布与节点检测** - **用途**：基于成交量分布识别关键价格水平 - **特点**： - 成交量分布图与POC（控制点） - 价值区域高点（VAH）和低点（VAL） - 峰值和低谷成交量节点检测 - 最高/最低成交量节点突出显示 - **回溯期**：可配置（默认377根K线） - **使用场景**：识别支撑阻力区域和流动性区域 #### 8. **聪明钱概念** - **用途**：追踪机构交易模式 - **特点**： - 市场结构（BOS-突破结构、CHoCH-结构转变） - 内部和摆动结构 - 强/弱高低点 - 等高/等低检测 - 公允价值缺口（FVG） - **模式**：历史模式或当前模式（仅最新） - **使用场景**：跟随机构资金流动交易 #### 9. **交易时区** - **用途**：分析不同全球时段的市场行为 - **可用时段**： - 亚洲时段 - 悉尼、东京、上海、香港 - 欧洲时段 - 伦敦、纽约、纽交所 - **特点**： - 时段方框显示高低点 - 实时倒计时 - 成交量和价格变化追踪 - 时段统计信息表格 - **自定义**：选择显示哪些时段、颜色和方框样式 ### 使用方法 #### 趋势跟随策略： 1. 启用EMA 3、5、7和8 2. 使用TFMA进行更高时间框架确认 3. 观察价格在关键EMA上方/下方确定趋势方向 4. 使用VWAP作为额外确认 #### 反转交易策略： 1. 启用背离检测器（MACD柱状图和乖离率） 2. 在关键支撑阻力位寻找背离 3. 用聪明钱CHoCH信号确认 4. 使用成交量分布节点作为进出场目标 #### 日内交易策略： 1. 启用交易时区 2. 关注高成交量时段（伦敦、纽约重叠时段） 3. 使用时段高低点作为支撑阻力 4. 在活跃时段交易公允价值缺口 #### 波段交易策略： 1. 使用DFMA确定日线趋势 2. 启用PMA识别通道 3. 观察价格在成交量分布价值区域的反应 4. 用摆动结构突破确认 ### 最佳实践 1. **避免过度拥挤**：仅启用策略所需的组件 2. **多时间框架分析**：始终检查更高时间框架的TFMA/DFMA 3. **汇合点**：寻找多个信号确认同一方向 4. **成交量确认**：使用成交量分布验证价格行为 5. **时段意识**：了解当前活跃时段以预期波动性 ### 性能优化 - 禁用未使用的功能以提高图表加载速度 - 如果不需要历史数据，对聪明钱概念使用"当前模式" - 在较慢设备上减少成交量分布回溯期 ### 警报 指标包含以下警报条件： - 所有背离类型（8个条件） - 聪明钱结构突破（8个条件） - 等高/等低检测 - 公允价值缺口形成 --- ## 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。
Indicador Pine Script®
por lwmxmpyp
Scout Regiment - MACD# Scout Regiment - MACD Indicator ## English Documentation ### Overview Scout Regiment - MACD is an advanced implementation of the Moving Average Convergence Divergence indicator with enhanced features including dual divergence detection (histogram and MACD line), customizable moving average types, multi-timeframe analysis, and sophisticated visual elements. This indicator provides traders with comprehensive momentum analysis and high-probability reversal signals. ### What is MACD? MACD (Moving Average Convergence Divergence) is a trend-following momentum indicator that shows the relationship between two moving averages: - **MACD Line**: Difference between fast and slow EMAs - **Signal Line**: Moving average of the MACD line - **Histogram**: Difference between MACD line and signal line - **Purpose**: Identifies trend direction, momentum strength, and potential reversals ### Key Features #### 1. **Enhanced MACD Display** **Three Core Components:** **MACD Line** (Default: Blue/Orange, 2px) - Fast EMA (13) minus Slow EMA (34) - Shows momentum direction - Color changes based on position relative to signal line: - Blue: Above signal line (bullish) - Orange: Below signal line (bearish) - Can be toggled on/off **Signal Line** (Default: White/Blue with transparency, 2px) - EMA (9) of the MACD line - Serves as trigger line for crossover signals - Color varies based on settings - Essential for identifying entry/exit points **Histogram** (Default: 4-color gradient, 4px columns) - Difference between MACD and signal line - Visual representation of momentum strength - Advanced 4-color scheme: - **Dark Green (#26A69A)**: Positive and increasing (strong bullish) - **Light Green (#B2DFDB)**: Positive but decreasing (weakening bullish) - **Dark Red (#FF5252)**: Negative and decreasing (strong bearish) - **Light Red (#FFCDD2)**: Negative but increasing (weakening bearish) - Histogram tells the "story" of momentum changes #### 2. **Customizable Moving Average Types** **Oscillator MA Type** (MACD Line calculation): - **EMA** (Exponential) - Default, more responsive - **SMA** (Simple) - Smoother, less responsive **Signal Line MA Type**: - **EMA** (Exponential) - Default, faster signals - **SMA** (Simple) - Slower, fewer false signals **Flexibility**: Mix and match for different trading styles - EMA/EMA: Most responsive (day trading) - SMA/SMA: Smoothest (swing trading) - EMA/SMA or SMA/EMA: Balanced approaches #### 3. **Multi-Timeframe Capability** **Current Chart Period** (Default: Enabled) - Uses current timeframe automatically - Simplest option for most traders **Custom Timeframe Selection** - Calculate MACD on any timeframe - Display higher timeframe MACD on lower timeframe charts - Example: View 1H MACD on 15min chart - **Use Case**: Align lower timeframe trades with higher timeframe momentum #### 4. **Visual Enhancement Features** **Golden Cross / Death Cross Markers** - Circles mark crossover points - Color matches MACD line color - Clearly identifies entry/exit signals - Can be toggled on/off **Zero Line** (White, 2px solid) - Reference for positive/negative momentum - Critical level for trend identification - MACD above zero = Bullish bias - MACD below zero = Bearish bias **Color Transitions** - MACD line changes color at signal line crosses - Histogram shows momentum acceleration/deceleration - Provides early warning of trend changes #### 5. **Dual Divergence Detection System** This indicator features TWO separate divergence detection systems: **A. Histogram Divergence Detection** - **Purpose**: Earlier divergence signals (most sensitive) - **Detects**: Regular bullish and bearish divergences - **Label**: "H涨" (Histogram Up), "H跌" (Histogram Down) - **Special Feature**: Same-sign requirement option - Top divergence: Both histogram points must be positive - Bottom divergence: Both histogram points must be negative - Filters out less reliable divergences **B. MACD Line Divergence Detection** - **Purpose**: Stronger, more reliable divergences - **Detects**: Regular bullish and bearish divergences - **Label**: "M涨" (MACD Up), "M跌" (MACD Down) - **Use**: Confirmation of histogram divergences or standalone **Divergence Types Explained:** **Regular Bullish Divergence (Yellow)** - **Price**: Lower lows - **Indicator**: Higher lows (histogram OR MACD line) - **Signal**: Potential upward reversal - **Best**: Near support levels, oversold conditions - **Entry**: After price breaks above recent resistance **Regular Bearish Divergence (Blue)** - **Price**: Higher highs - **Indicator**: Lower highs (histogram OR MACD line) - **Signal**: Potential downward reversal - **Best**: Near resistance levels, overbought conditions - **Entry**: After price breaks below recent support #### 6. **Advanced Divergence Parameters** **Histogram Divergence Settings:** - **Price Reference**: Wicks (default) or Bodies - **Right Lookback**: Bars to right of pivot (default: 2) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between divergences (default: 60) - **Min Range**: Minimum bars between divergences (default: 5) - **Same Sign Requirement**: Ensures both histogram points have same sign - **Show Regular Divergence**: Toggle display - **Show Labels**: Toggle divergence labels **MACD Line Divergence Settings:** - **Price Reference**: Wicks (default) or Bodies - **Right Lookback**: Bars to right of pivot (default: 1) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between divergences (default: 60) - **Min Range**: Minimum bars between divergences (default: 5) - **Show Regular Divergence**: Toggle display - **Show Labels**: Toggle divergence labels **Independent Control**: Adjust histogram and MACD line divergences separately ### Configuration Settings #### MACD Basic Settings - **Fast EMA Period**: Fast moving average length (default: 13) - **Slow EMA Period**: Slow moving average length (default: 34) - **Signal Line Period**: Signal line length (default: 9) - **Use Current Chart Period**: Auto-adjust to current timeframe - **Select Period**: Choose custom timeframe - **Show MACD & Signal Lines**: Toggle lines display - **Show Cross Markers**: Toggle golden/death cross dots - **Show Histogram**: Toggle histogram display - **Show Crossover Color Change**: Enable MACD line color change - **Show Histogram Colors**: Enable 4-color histogram scheme - **Oscillator MA Type**: Choose SMA or EMA for MACD - **Signal Line MA Type**: Choose SMA or EMA for signal #### Histogram Divergence Settings - **Show Histogram Divergence**: Enable histogram divergence detection - **Price Reference**: Wicks or Bodies for price comparison - **Right/Left Lookback**: Pivot detection parameters - **Max/Min Range**: Distance constraints between pivots - **Show Regular Divergence**: Display histogram divergence lines - **Show Labels**: Display histogram divergence labels - **Require Same Sign**: Enforce histogram sign consistency #### MACD Line Divergence Settings - **Show MACD Line Divergence**: Enable MACD line divergence detection - **Price Reference**: Wicks or Bodies for price comparison - **Right/Left Lookback**: Pivot detection parameters - **Max/Min Range**: Distance constraints between pivots - **Show Regular Divergence**: Display MACD line divergence lines - **Show Labels**: Display MACD line divergence labels ### How to Use #### For Basic Trend Following 1. **Enable Core Components** - MACD line, signal line, and histogram - Enable cross markers 2. **Identify Trend** - MACD above zero = Uptrend - MACD below zero = Downtrend 3. **Watch for Crossovers** - Golden cross (MACD crosses above signal) = Buy signal - Death cross (MACD crosses below signal) = Sell signal 4. **Confirm with Histogram** - Increasing histogram = Strengthening trend - Decreasing histogram = Weakening trend #### For Divergence Trading 1. **Enable Both Divergence Systems** - Histogram divergence (early signals) - MACD line divergence (confirmation) 2. **Wait for Divergence Signals** - "H涨" or "H跌" = Early warning - "M涨" or "M跌" = Confirmation 3. **Best Divergences** - Both histogram AND MACD line showing divergence - Divergence at key support/resistance levels - Multiple divergences on same trend 4. **Entry Timing** - Wait for price structure break - Enter on pullback after confirmation - Use MACD crossover as trigger #### For Multi-Timeframe Analysis 1. **Set Higher Timeframe** - Example: 4H MACD on 1H chart - Uncheck "Use Current Chart Period" - Select desired timeframe 2. **Identify Higher TF Trend** - MACD position relative to zero - MACD vs signal line relationship 3. **Trade with HTF Direction** - Only take long signals if HTF MACD bullish - Only take short signals if HTF MACD bearish 4. **Use Current TF for Entries** - Higher TF for bias - Current TF for precise timing #### For Histogram Analysis 1. **Enable 4-Color Histogram** - Watch color transitions - Dark colors = Strong momentum - Light colors = Weakening momentum 2. **Momentum Stages** - Dark green → Light green = Bullish losing steam - Light red → Dark red = Bearish gaining strength 3. **Trade Transitions** - Light green to light red = Momentum shift (potential reversal) - Entry on confirmation crossover ### Trading Strategies #### Strategy 1: Classic MACD Crossover **Setup:** - Standard settings (13/34/9) - Enable MACD, signal line, and cross markers - Clear trend on higher timeframe **Entry:** - **Long**: Golden cross (circle marker) above zero line - **Short**: Death cross (circle marker) below zero line **Confirmation:** - Histogram color supporting direction - Volume increase helps **Stop Loss:** - Below recent swing low (long) - Above recent swing high (short) **Exit:** - Opposite crossover - MACD crosses zero line against position **Best For:** Trend following, clear trending markets #### Strategy 2: Zero Line Bounce **Setup:** - Enable all components - Established trend (MACD staying one side of zero) - Wait for pullback to zero line **Entry:** - **Long**: MACD touches zero from above, bounces up with golden cross - **Short**: MACD touches zero from below, bounces down with death cross **Confirmation:** - Histogram color change - Price at support/resistance **Stop Loss:** - Just beyond zero line (opposite side) **Exit:** - Target previous extreme - Or opposite crossover **Best For:** Trend continuation, strong markets #### Strategy 3: Dual Divergence Confirmation **Setup:** - Enable both histogram and MACD line divergences - Price at extreme (high/low) - Wait for divergence signals **Entry:** - **Long**: Both "H涨" AND "M涨" labels appear - **Short**: Both "H跌" AND "M跌" labels appear **Confirmation:** - Price breaks structure - Volume increase - Golden/death cross confirms **Stop Loss:** - Beyond divergence pivot point **Exit:** - MACD crosses zero line - Or opposite divergence appears **Best For:** Reversal trading, swing trading #### Strategy 4: Histogram Color Transition **Setup:** - Enable 4-color histogram - Focus on color changes - Price in trend **Entry:** - **Long**: Light red → Light green transition + golden cross - **Short**: Light green → Light red transition + death cross **Rationale:** - Light colors show momentum exhaustion - Color flip = momentum shift - Early entry before full trend reversal **Stop Loss:** - Recent swing point **Exit:** - Histogram color turns light against position - Or at predetermined target **Best For:** Scalping, day trading, early entries #### Strategy 5: Multi-Timeframe Momentum **Setup:** - Display higher timeframe MACD (e.g., 4H on 1H chart) - Current chart shows current momentum - Higher TF shows overall bias **Entry:** - **Long**: HTF MACD above zero + current TF golden cross - **Short**: HTF MACD below zero + current TF death cross **Confirmation:** - HTF histogram supporting direction - Both timeframes aligned **Stop Loss:** - Based on current timeframe structure **Exit:** - Current TF opposite crossover - Or HTF MACD momentum weakens **Best For:** Swing trading, high-probability setups #### Strategy 6: Histogram-Only Divergence Scout **Setup:** - Enable only histogram divergence - Use "same sign requirement" - Focus on early signals **Entry:** - **Long**: "H涨" label + price at support - **Short**: "H跌" label + price at resistance **Confirmation:** - Wait for MACD/signal crossover - Or price structure break **Advantage:** - Earliest divergence signals - Get in before crowd **Risk:** - More false signals than MACD line divergence - Requires strict confirmation **Stop Loss:** - Tight stop beyond entry bar **Exit:** - Quick targets (30-50% of expected move) - Or trail stop **Best For:** Active traders, scalpers seeking early entries ### Best Practices #### MACD Period Selection **Standard (13/34/9)** - Default - Balanced for most markets - Good for day trading and swing trading - Widely used, works with general market psychology **Faster (8/21/5 or 12/26/9)** - More responsive - More signals, more noise - Best for: Scalping, volatile markets - Risk: More false signals **Slower (21/55/13)** - Smoother signals - Fewer but stronger signals - Best for: Swing trading, position trading - Benefit: Higher reliability #### Histogram vs MACD Line Divergences **Histogram Divergence:** - ✅ Earlier signals - ✅ Catch moves before others - ❌ More false signals - ❌ Requires confirmation - **Best for**: Active traders, scalpers **MACD Line Divergence:** - ✅ More reliable - ✅ Stronger divergences - ❌ Later signals - ❌ May miss early moves - **Best for**: Swing traders, conservative traders **Both Together:** - ✅ Maximum confidence - ✅ Histogram for alert, MACD for confirmation - ✅ Highest probability setups - **Best for**: All traders seeking quality over quantity #### Same Sign Requirement Feature **Enabled (Recommended):** - Filters low-quality divergences - Top divergence: Both histogram points positive - Bottom divergence: Both histogram points negative - Results in fewer but more reliable signals **Disabled:** - More divergence signals - Includes zero-line crossing divergences - Higher false signal rate - Only for experienced traders #### Price Reference: Wicks vs Bodies **Wicks (Default):** - Uses high/low prices - Catches all extremes - More divergences detected - Best for: Most trading styles **Bodies:** - Uses open/close prices - Filters out spike movements - Fewer but cleaner divergences - Best for: Noisy markets, crypto #### Visual Settings Recommendations **For Beginners:** - Enable: MACD line, signal line, histogram - Enable: Cross markers - Enable: Histogram colors - Disable: Both divergence systems initially - Focus: Learn basic crossovers first **For Intermediate:** - All basic components - Add: Histogram divergence only - Use: Same sign requirement - Focus: Early reversal signals **For Advanced:** - All components - Both divergence systems - Custom parameters per market - Multi-timeframe analysis - Focus: High-probability confluence setups ### Indicator Combinations **With Moving Averages (EMAs):** - EMAs (21/55/144) show trend - MACD shows momentum - Enter when both align - Exit when MACD turns first **With RSI:** - RSI for overbought/oversold - MACD for momentum confirmation - Divergence on both = Extremely strong signal - RSI + MACD divergence = High probability trade **With Volume:** - Volume confirms MACD signals - Crossover + volume spike = Valid breakout - Divergence + volume divergence = Strong reversal **With Support/Resistance:** - S/R levels for entry/exit targets - MACD divergence at levels = Highest probability - MACD crossover at level = Strong confirmation **With Bias Indicator:** - Bias shows price deviation from EMA - MACD shows momentum - Both diverging = Powerful reversal signal - Bias extreme + MACD divergence = High conviction trade **With OBV:** - OBV shows volume trend - MACD shows price momentum - OBV + MACD divergence = Volume not supporting price - Strong reversal indication **With KSI (RSI/CCI):** - KSI for oscillator extremes - MACD for momentum direction - KSI extreme + MACD divergence = Reversal likely - All aligned = Maximum confidence ### Common MACD Patterns 1. **Bullish Cross Above Zero**: Strong uptrend continuation signal 2. **Bearish Cross Below Zero**: Strong downtrend continuation signal 3. **Zero Line Rejection**: Price respects zero as support/resistance 4. **Histogram Peak**: Momentum climax, watch for reversal 5. **Double Divergence**: Two divergences without reversal = Very strong signal when it finally reverses 6. **Histogram Convergence**: Histogram narrowing = Trend losing steam 7. **Signal Line Hug**: MACD stays close to signal = Consolidation, expect breakout ### Performance Tips - Start with default settings (13/34/9 EMA/EMA) - Test one divergence system at a time - Use same sign requirement initially - Enable cross markers for clear signals - Adjust lookback parameters per market volatility - Higher timeframe MACD more reliable than lower - Combine histogram early signal with MACD line confirmation - Don't trade every divergence - wait for best setups ### Alert Conditions While not explicitly coded, you can set custom alerts on: - MACD crossing above/below signal line - MACD crossing above/below zero line - Histogram crossing zero - When divergence labels appear (using visual alerts) --- ## 中文说明文档 ### 概述 Scout Regiment - MACD 是移动平均线收敛发散指标的高级实现版本，具有增强功能，包括双重背离检测（直方图和MACD线）、可自定义的移动平均类型、多时间框架分析和复杂的视觉元素。该指标为交易者提供全面的动量分析和高概率反转信号。 ### 什么是MACD？ MACD（移动平均线收敛发散）是一个趋势跟随动量指标，显示两条移动平均线之间的关系： - **MACD线**：快速和慢速EMA之间的差值 - **信号线**：MACD线的移动平均 - **直方图**：MACD线和信号线之间的差值 - **用途**：识别趋势方向、动量强度和潜在反转 ### 核心功能 #### 1. **增强的MACD显示** **三个核心组件：** **MACD线**（默认：蓝色/橙色，2像素） - 快速EMA（13）减去慢速EMA（34） - 显示动量方向 - 根据相对于信号线的位置改变颜色： - 蓝色：信号线上方（看涨） - 橙色：信号线下方（看跌） - 可开关显示 **信号线**（默认：白色/蓝色带透明度，2像素） - MACD线的EMA（9） - 作为交叉信号的触发线 - 颜色根据设置变化 - 识别进出场点的关键 **直方图**（默认：4色渐变，4像素柱） - MACD和信号线之间的差值 - 动量强度的视觉表示 - 高级4色方案： - **深绿色（#26A69A）**：正值且增加（强劲看涨） - **浅绿色（#B2DFDB）**：正值但减少（看涨减弱） - **深红色（#FF5252）**：负值且减少（强劲看跌） - **浅红色（#FFCDD2）**：负值但增加（看跌减弱） - 直方图讲述动量变化的"故事" #### 2. **可自定义的移动平均类型** **振荡器MA类型**（MACD线计算）： - **EMA**（指数）- 默认，反应更快 - **SMA**（简单）- 更平滑，反应较慢 **信号线MA类型**： - **EMA**（指数）- 默认，更快信号 - **SMA**（简单）- 更慢，假信号更少 **灵活性**：混合搭配以适应不同交易风格 - EMA/EMA：最灵敏（日内交易） - SMA/SMA：最平滑（波段交易） - EMA/SMA或SMA/EMA：平衡方法 #### 3. **多时间框架功能** **当前图表周期**（默认：启用） - 自动使用当前时间框架 - 大多数交易者的最简单选项 **自定义时间框架选择** - 在任何时间框架上计算MACD - 在低时间框架图表上显示高时间框架MACD - 示例：在15分钟图上查看1小时MACD - **使用场景**：使低时间框架交易与高时间框架动量保持一致 #### 4. **视觉增强功能** **金叉/死叉标记** - 圆点标记交叉点 - 颜色与MACD线颜色匹配 - 清晰识别进出场信号 - 可开关 **零线**（白色，2像素实线） - 正负动量的参考 - 趋势识别的关键水平 - MACD在零线上方 = 看涨偏向 - MACD在零线下方 = 看跌偏向 **颜色转换** - MACD线在信号线交叉处改变颜色 - 直方图显示动量加速/减速 - 提供趋势变化的早期警告 #### 5. **双重背离检测系统** 该指标具有两个独立的背离检测系统： **A. 直方图背离检测** - **用途**：更早的背离信号（最敏感） - **检测**：常规看涨和看跌背离 - **标签**："H涨"（直方图上涨）、"H跌"（直方图下跌） - **特殊功能**：同符号要求选项 - 顶背离：两个直方图点都必须为正 - 底背离：两个直方图点都必须为负 - 过滤不太可靠的背离 **B. MACD线背离检测** - **用途**：更强、更可靠的背离 - **检测**：常规看涨和看跌背离 - **标签**："M涨"（MACD上涨）、"M跌"（MACD下跌） - **用途**：确认直方图背离或独立使用 **背离类型说明：** **常规看涨背离（黄色）** - **价格**：更低的低点 - **指标**：更高的低点（直方图或MACD线） - **信号**：潜在向上反转 - **最佳**：在支撑水平附近、超卖状况 - **入场**：价格突破近期阻力后 **常规看跌背离（蓝色）** - **价格**：更高的高点 - **指标**：更低的高点（直方图或MACD线） - **信号**：潜在向下反转 - **最佳**：在阻力水平附近、超买状况 - **入场**：价格跌破近期支撑后 #### 6. **高级背离参数** **直方图背离设置：** - **价格参考**：影线（默认）或实体 - **右侧回溯**：枢轴点右侧K线数（默认：2） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：背离之间最大K线数（默认：60） - **最小范围**：背离之间最小K线数（默认：5） - **同符号要求**：确保两个直方图点符号相同 - **显示常规背离**：切换显示 - **显示标签**：切换背离标签 **MACD线背离设置：** - **价格参考**：影线（默认）或实体 - **右侧回溯**：枢轴点右侧K线数（默认：1） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **最大范围**：背离之间最大K线数（默认：60） - **最小范围**：背离之间最小K线数（默认：5） - **显示常规背离**：切换显示 - **显示标签**：切换背离标签 **独立控制**：分别调整直方图和MACD线背离 ### 配置设置 #### MACD基础设置 - **快速EMA周期**：快速移动平均长度（默认：13） - **慢速EMA周期**：慢速移动平均长度（默认：34） - **信号线周期**：信号线长度（默认：9） - **使用当前图表周期**：自动调整到当前时间框架 - **选择周期**：选择自定义时间框架 - **显示MACD线和信号线**：切换线条显示 - **显示金叉死叉圆点标记**：切换金叉/死叉圆点 - **显示直方图**：切换直方图显示 - **显示穿越变化MACD线**：启用MACD线颜色变化 - **显示直方图颜色**：启用4色直方图方案 - **振荡器MA类型**：为MACD选择SMA或EMA - **信号线MA类型**：为信号线选择SMA或EMA #### 直方图背离设置 - **显示直方图背离信号**：启用直方图背离检测 - **价格参考**：影线或实体用于价格比较 - **右侧/左侧回溯**：枢轴检测参数 - **最大/最小范围**：枢轴之间的距离约束 - **显示直方图常规背离**：显示直方图背离线 - **显示直方图常规背离标签**：显示直方图背离标签 - **要求背离点柱状图同符号**：强制直方图符号一致性 #### MACD线背离设置 - **显示MACD线背离信号**：启用MACD线背离检测 - **价格参考**：影线或实体用于价格比较 - **右侧/左侧回溯**：枢轴检测参数 - **最大/最小范围**：枢轴之间的距离约束 - **显示线常规背离**：显示MACD线背离线 - **显示线常规背离标签**：显示MACD线背离标签 ### 使用方法 #### 基础趋势跟随 1. **启用核心组件** - MACD线、信号线和直方图 - 启用交叉标记 2. **识别趋势** - MACD在零线上方 = 上升趋势 - MACD在零线下方 = 下降趋势 3. **观察交叉** - 金叉（MACD向上穿越信号线）= 买入信号 - 死叉（MACD向下穿越信号线）= 卖出信号 4. **用直方图确认** - 直方图增加 = 趋势加强 - 直方图减少 = 趋势减弱 #### 背离交易 1. **启用两个背离系统** - 直方图背离（早期信号） - MACD线背离（确认） 2. **等待背离信号** - "H涨"或"H跌" = 早期警告 - "M涨"或"M跌" = 确认 3. **最佳背离** - 直方图和MACD线都显示背离 - 在关键支撑/阻力水平的背离 - 同一趋势上多个背离 4. **入场时机** - 等待价格结构突破 - 确认后回调时进入 - 使用MACD交叉作为触发 #### 多时间框架分析 1. **设置更高时间框架** - 示例：在1小时图上显示4小时MACD - 取消勾选"使用当前图表周期" - 选择所需时间框架 2. **识别更高TF趋势** - MACD相对于零线的位置 - MACD与信号线的关系 3. **顺HTF方向交易** - 仅在HTF MACD看涨时接受多头信号 - 仅在HTF MACD看跌时接受空头信号 4. **使用当前TF入场** - 更高TF确定偏向 - 当前TF精确定时 #### 直方图分析 1. **启用4色直方图** - 观察颜色转换 - 深色 = 强动量 - 浅色 = 动量减弱 2. **动量阶段** - 深绿色→浅绿色 = 看涨失去动力 - 浅红色→深红色 = 看跌获得力量 3. **交易转换** - 浅绿色到浅红色 = 动量转变（潜在反转） - 确认交叉时入场 ### 交易策略 #### 策略1：经典MACD交叉 **设置：** - 标准设置（13/34/9） - 启用MACD、信号线和交叉标记 - 更高时间框架明确趋势 **入场：** - **多头**：零线上方金叉（圆点标记） - **空头**：零线下方死叉（圆点标记） **确认：** - 直方图颜色支持方向 - 成交量增加有帮助 **止损：** - 近期波动低点之下（多头） - 近期波动高点之上（空头） **离场：** - 相反交叉 - MACD反向穿越零线 **适合：**趋势跟随、明确趋势市场 #### 策略2：零线反弹 **设置：** - 启用所有组件 - 已建立趋势（MACD保持在零线一侧） - 等待回调至零线 **入场：** - **多头**：MACD从上方触及零线，向上反弹并金叉 - **空头**：MACD从下方触及零线，向下反弹并死叉 **确认：** - 直方图颜色变化 - 价格在支撑/阻力位 **止损：** - 零线对面一侧 **离场：** - 目标前一极值 - 或相反交叉 **适合：**趋势延续、强势市场 #### 策略3：双重背离确认 **设置：** - 启用直方图和MACD线背离 - 价格在极值（高点/低点） - 等待背离信号 **入场：** - **多头**："H涨"和"M涨"标签都出现 - **空头**："H跌"和"M跌"标签都出现 **确认：** - 价格突破结构 - 成交量增加 - 金叉/死叉确认 **止损：** - 背离枢轴点之外 **离场：** - MACD穿越零线 - 或出现相反背离 **适合：**反转交易、波段交易 #### 策略4：直方图颜色转换 **设置：** - 启用4色直方图 - 关注颜色变化 - 价格处于趋势 **入场：** - **多头**：浅红色→浅绿色转换 + 金叉 - **空头**：浅绿色→浅红色转换 + 死叉 **原理：** - 浅色显示动量衰竭 - 颜色翻转 = 动量转变 - 完全趋势反转前的早期入场 **止损：** - 近期波动点 **离场：** - 直方图颜色变为反向浅色 - 或预定目标 **适合：**剥头皮、日内交易、早期入场 #### 策略5：多时间框架动量 **设置：** - 显示更高时间框架MACD（例如，在1小时图上显示4小时） - 当前图表显示当前动量 - 更高TF显示整体偏向 **入场：** - **多头**：HTF MACD在零线上方 + 当前TF金叉 - **空头**：HTF MACD在零线下方 + 当前TF死叉 **确认：** - HTF直方图支持方向 - 两个时间框架对齐 **止损：** - 基于当前时间框架结构 **离场：** - 当前TF相反交叉 - 或HTF MACD动量减弱 **适合：**波段交易、高概率设置 #### 策略6：仅直方图背离侦察 **设置：** - 仅启用直方图背离 - 使用"同符号要求" - 关注早期信号 **入场：** - **多头**："H涨"标签 + 价格在支撑位 - **空头**："H跌"标签 + 价格在阻力位 **确认：** - 等待MACD/信号线交叉 - 或价格结构突破 **优势：** - 最早的背离信号 - 在大众之前进入 **风险：** - 比MACD线背离假信号更多 - 需要严格确认 **止损：** - 入场K线之外紧密止损 **离场：** - 快速目标（预期波动的30-50%） - 或移动止损 **适合：**活跃交易者、寻求早期入场的剥头皮交易者 ### 最佳实践 #### MACD周期选择 **标准（13/34/9）** - 默认 - 大多数市场的平衡 - 适合日内交易和波段交易 - 广泛使用，符合一般市场心理 **更快（8/21/5或12/26/9）** - 更灵敏 - 更多信号，更多噪音 - 最适合：剥头皮、波动市场 - 风险：更多假信号 **更慢（21/55/13）** - 更平滑的信号 - 信号较少但更强 - 最适合：波段交易、仓位交易 - 优势：更高可靠性 #### 直方图vs MACD线背离 **直方图背离：** - ✅ 更早信号 - ✅ 在其他人之前捕捉波动 - ❌ 更多假信号 - ❌ 需要确认 - **最适合**：活跃交易者、剥头皮交易者 **MACD线背离：** - ✅ 更可靠 - ✅ 更强的背离 - ❌ 信号较晚 - ❌ 可能错过早期波动 - **最适合**：波段交易者、保守交易者 **两者结合：** - ✅ 最大信心 - ✅ 直方图警报，MACD确认 - ✅ 最高概率设置 - **最适合**：所有寻求质量而非数量的交易者 #### 同符号要求功能 **启用（推荐）：** - 过滤低质量背离 - 顶背离：两个直方图点都为正 - 底背离：两个直方图点都为负 - 产生更少但更可靠的信号 **禁用：** - 更多背离信号 - 包括零线穿越背离 - 假信号率更高 - 仅适合有经验的交易者 #### 价格参考：影线vs实体 **影线（默认）：** - 使用最高/最低价 - 捕捉所有极值 - 检测到更多背离 - 最适合：大多数交易风格 **实体：** - 使用开盘/收盘价 - 过滤突刺波动 - 背离更少但更干净 - 最适合：噪音市场、加密货币 #### 视觉设置建议 **新手：** - 启用：MACD线、信号线、直方图 - 启用：交叉标记 - 启用：直方图颜色 - 禁用：初始禁用两个背离系统 - 重点：先学习基本交叉 **中级：** - 所有基本组件 - 添加：仅直方图背离 - 使用：同符号要求 - 重点：早期反转信号 **高级：** - 所有组件 - 两个背离系统 - 每个市场自定义参数 - 多时间框架分析 - 重点：高概率汇合设置 ### 指标组合 **与移动平均线（EMA）配合：** - EMA（21/55/144）显示趋势 - MACD显示动量 - 两者一致时进入 - MACD先转向时退出 **与RSI配合：** - RSI用于超买超卖 - MACD用于动量确认 - 两者都背离 = 极强信号 - RSI + MACD背离 = 高概率交易 **与成交量配合：** - 成交量确认MACD信号 - 交叉 + 成交量激增 = 有效突破 - 背离 + 成交量背离 = 强反转 **与支撑/阻力配合：** - 支撑阻力水平用于进出目标 - 水平处的MACD背离 = 最高概率 - 水平处的MACD交叉 = 强确认 **与Bias指标配合：** - Bias显示价格相对EMA的偏离 - MACD显示动量 - 两者都背离 = 强大反转信号 - Bias极值 + MACD背离 = 高信念交易 **与OBV配合：** - OBV显示成交量趋势 - MACD显示价格动量 - OBV + MACD背离 = 成交量不支持价格 - 强反转迹象 **与KSI（RSI/CCI）配合：** - KSI用于振荡器极值 - MACD用于动量方向 - KSI极值 + MACD背离 = 可能反转 - 全部对齐 = 最大信心 ### 常见MACD形态 1. **零线上方看涨交叉**：强上升趋势延续信号 2. **零线下方看跌交叉**：强下降趋势延续信号 3. **零线拒绝**：价格将零线作为支撑/阻力 4. **直方图峰值**：动量高潮，注意反转 5. **双重背离**：两次背离未反转 = 最终反转时非常强 6. **直方图收敛**：直方图变窄 = 趋势失去动力 7. **信号线紧贴**：MACD紧贴信号线 = 盘整，预期突破 ### 性能提示 - 从默认设置开始（13/34/9 EMA/EMA） - 一次测试一个背离系统 - 初始使用同符号要求 - 启用交叉标记以获得清晰信号 - 根据市场波动性调整回溯参数 - 更高时间框架MACD比更低的更可靠 - 结合直方图早期信号与MACD线确认 - 不要交易每个背离 - 等待最佳设置 ### 警报条件 虽然没有明确编码，但您可以设置自定义警报： - MACD向上/向下穿越信号线 - MACD向上/向下穿越零线 - 直方图穿越零线 - 背离标签出现时（使用视觉警报） --- ## 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。
Indicador Pine Script®
por lwmxmpyp
Scout Regiment - KSI# Scout Regiment - KSI Indicator ## English Documentation ### Overview Scout Regiment - KSI (Key Stochastic Indicators) is a comprehensive momentum oscillator that combines three powerful technical indicators - RSI, CCI, and Williams %R - into a single, unified display. This multi-indicator approach provides traders with diverse perspectives on market momentum, overbought/oversold conditions, and potential reversal points through advanced divergence detection. ### What is KSI? KSI stands for "Key Stochastic Indicators" - a composite momentum indicator that: - Displays multiple oscillators normalized to a 0-100 scale - Uses standardized bands (20/50/80) for consistent interpretation - Combines RSI for trend, CCI for cycle, and Williams %R for reversal detection - Provides enhanced divergence detection specifically for RSI ### Key Features #### 1. **Triple Oscillator System** **① RSI (Relative Strength Index)** - Primary Indicator - **Purpose**: Measures momentum and identifies overbought/oversold conditions - **Default Length**: 22 periods - **Display**: Blue line (2px) - **Key Levels**: - Above 50: Bullish momentum - Below 50: Bearish momentum - Above 80: Overbought - Below 20: Oversold - **Special Features**: - Background color indication (green/red) - Crossover labels at 50 level - Full divergence detection (4 types) **② CCI (Commodity Channel Index)** - Dual Period - **Purpose**: Identifies cyclical trends and extreme conditions - **Dual Display**: - CCI(33): Short-term cycle - Green line (1px) - CCI(77): Medium-term cycle - Orange line (1px) - **Default Source**: HLC3 (typical price) - **Normalized Scale**: Mapped from ±100 to 0-100 for consistency - **Interpretation**: - Above 80: Strong upward momentum - Below 20: Strong downward momentum - 50 level: Neutral - Divergence between periods: Trend change warning **③ Williams %R** - Optional - **Purpose**: Identifies overbought/oversold extremes - **Default Length**: 28 periods - **Display**: Magenta line (2px) - **Scale**: Inverted and normalized to 0-100 - **Best For**: Short-term reversal signals - **Default**: Disabled (enable when needed for extra confirmation) #### 2. **Standardized Band System** **Three-Level Structure:** - **Upper Band (80)**: Overbought zone - Strong momentum area - Watch for reversal signals - Divergences here are most reliable - **Middle Line (50)**: Equilibrium - Separates bullish/bearish zones - Crossovers indicate momentum shifts - Key decision level - **Lower Band (20)**: Oversold zone - Weak momentum area - Look for bounce signals - Divergences here signal potential reversals **Band Fill**: Dark background between 20-80 for visual clarity #### 3. **RSI Visual Enhancements** **Background Color Indication** - Green background: RSI above 50 (bullish bias) - Red background: RSI below 50 (bearish bias) - Optional display for cleaner charts - Helps identify overall momentum direction **Crossover Labels** - "突破" (Breakout): RSI crosses above 50 - "跌破" (Breakdown): RSI crosses below 50 - Marks momentum shift points - Can be toggled on/off #### 4. **Advanced RSI Divergence Detection** The indicator includes comprehensive divergence detection for RSI only (most reliable oscillator): **Regular Bullish Divergence (Yellow)** - **Price**: Lower lows - **RSI**: Higher lows - **Signal**: Potential upward reversal - **Label**: "涨" (Up) - **Most Common**: Near oversold levels (below 30) **Regular Bearish Divergence (Blue)** - **Price**: Higher highs - **RSI**: Lower highs - **Signal**: Potential downward reversal - **Label**: "跌" (Down) - **Most Common**: Near overbought levels (above 70) **Hidden Bullish Divergence (Light Yellow)** - **Price**: Higher lows - **RSI**: Lower lows - **Signal**: Uptrend continuation - **Label**: "隐涨" (Hidden Up) - **Use**: Add to existing longs **Hidden Bearish Divergence (Light Blue)** - **Price**: Lower highs - **RSI**: Higher highs - **Signal**: Downtrend continuation - **Label**: "隐跌" (Hidden Down) - **Use**: Add to existing shorts **Divergence Parameters** (Fully Customizable): - **Right Lookback**: Bars to right of pivot (default: 5) - **Left Lookback**: Bars to left of pivot (default: 5) - **Max Range**: Maximum bars between pivots (default: 60) - **Min Range**: Minimum bars between pivots (default: 5) ### Configuration Settings #### KSI Display Settings - **Show RSI**: Toggle RSI indicator - **Show CCI**: Toggle both CCI lines - **Show Williams %R**: Toggle Williams %R (optional) #### RSI Settings - **RSI Length**: Period for calculation (default: 22) - **Data Source**: Price source (default: close) - **Show Background**: Toggle green/red background - **Show Cross Labels**: Toggle 50-level crossover labels #### RSI Divergence Settings - **Right Lookback**: Pivot detection right side - **Left Lookback**: Pivot detection left side - **Max Range**: Maximum lookback distance - **Min Range**: Minimum lookback distance - **Show Regular Divergence**: Enable regular divergence lines - **Show Regular Labels**: Enable regular divergence labels - **Show Hidden Divergence**: Enable hidden divergence lines - **Show Hidden Labels**: Enable hidden divergence labels #### CCI Settings - **CCI Length**: Short-term period (default: 33) - **CCI Mid Length**: Medium-term period (default: 77) - **Data Source**: Price calculation (default: HLC3) - **Show CCI(33)**: Toggle short-term CCI - **Show CCI(77)**: Toggle medium-term CCI #### Williams %R Settings - **Length**: Calculation period (default: 28) - **Data Source**: Price source (default: close) ### How to Use #### For Basic Momentum Trading 1. **Enable RSI Only** (primary indicator) - Focus on 50-level crossovers - Enable crossover labels for signals 2. **Identify Momentum Direction** - RSI > 50 = Bullish momentum - RSI < 50 = Bearish momentum - Background color confirms direction 3. **Look for Extremes** - RSI > 80 = Overbought (consider selling) - RSI < 20 = Oversold (consider buying) 4. **Trade Setup** - Enter long when RSI crosses above 50 from oversold - Enter short when RSI crosses below 50 from overbought #### For Divergence Trading 1. **Enable RSI with Divergence Detection** - Turn on regular divergence - Optionally add hidden divergence 2. **Wait for Divergence Signal** - Yellow label = Bullish divergence - Blue label = Bearish divergence 3. **Confirm with Price Structure** - Wait for support/resistance break - Look for candlestick patterns - Check volume confirmation 4. **Enter Position** - Enter after confirmation - Stop beyond divergence pivot - Target next key level #### For Multi-Oscillator Confirmation 1. **Enable All Three Indicators** - RSI (momentum) - CCI dual (cycle analysis) - Williams %R (extremes) 2. **Look for Alignment** - All above 50 = Strong bullish - All below 50 = Strong bearish - Mixed signals = Consolidation 3. **Identify Extremes** - All indicators > 80 = Extreme overbought - All indicators < 20 = Extreme oversold 4. **Trade Reversals** - Enter counter-trend when all aligned at extremes - Confirm with divergence if available - Use tight stops #### For CCI Dual-Period Analysis 1. **Enable Both CCI Lines** - CCI(33) = Short-term - CCI(77) = Medium-term 2. **Watch for Crossovers** - Green crosses above orange = Bullish acceleration - Green crosses below orange = Bearish acceleration 3. **Analyze Divergence Between Periods** - Short-term rising, medium falling = Potential reversal - Both rising together = Strong trend 4. **Trade Accordingly** - Follow crossover direction - Exit when lines converge ### Trading Strategies #### Strategy 1: RSI 50-Level Crossover **Setup:** - Enable RSI with background and labels - Wait for clear trend - Look for retracement to 50 level **Entry:** - Long: "突破" label appears after pullback - Short: "跌破" label appears after bounce **Stop Loss:** - Long: Below recent swing low - Short: Above recent swing high **Exit:** - Opposite crossover label - Or predetermined target (2:1 risk-reward) **Best For:** Trend following, clear markets #### Strategy 2: RSI Divergence Reversal **Setup:** - Enable RSI with regular divergence - Wait for extreme levels (>70 or <30) - Look for divergence signal **Entry:** - Long: Yellow "涨" label at oversold level - Short: Blue "跌" label at overbought level **Confirmation:** - Wait for price to break structure - Check for volume increase - Look for candlestick reversal pattern **Stop Loss:** - Beyond divergence pivot point **Exit:** - Take partial profit at 50 level - Exit remainder at opposite extreme or divergence **Best For:** Swing trading, range-bound markets #### Strategy 3: Triple Oscillator Confluence **Setup:** - Enable all three indicators - Wait for all to reach extreme (>80 or <20) - Look for alignment **Entry:** - Long: All three below 20, first one crosses above 20 - Short: All three above 80, first one crosses below 80 **Confirmation:** - All indicators must align - Price at support/resistance - Volume spike helps **Stop Loss:** - Fixed percentage or ATR-based **Exit:** - When any indicator crosses 50 level - Or at predetermined target **Best For:** High-probability reversals, volatile markets #### Strategy 4: CCI Dual-Period System **Setup:** - Enable both CCI lines only - Disable RSI and Williams %R for clarity - Watch for crossovers **Entry:** - Long: CCI(33) crosses above CCI(77) below 50 line - Short: CCI(33) crosses below CCI(77) above 50 line **Confirmation:** - Both should be moving in entry direction - Price breaking key level helps **Stop Loss:** - When CCIs cross back in opposite direction **Exit:** - Both CCIs enter opposite extreme zone - Or trailing stop **Best For:** Catching trend continuations, momentum trading #### Strategy 5: Hidden Divergence Continuation **Setup:** - Enable RSI with hidden divergence - Confirm existing trend - Wait for pullback **Entry:** - Uptrend: "隐涨" label during pullback - Downtrend: "隐跌" label during bounce **Confirmation:** - Price holds key moving average - Trend structure intact **Stop Loss:** - Beyond pullback extreme **Exit:** - Regular divergence appears (reversal warning) - Or trend structure breaks **Best For:** Adding to positions, trend trading ### Best Practices #### Choosing Which Indicators to Display **For Beginners:** - Use RSI only - Enable background color and labels - Focus on 50-level crossovers - Simple and effective **For Intermediate Traders:** - RSI + Regular Divergence - Add CCI for confirmation - Use dual perspectives - Better accuracy **For Advanced Traders:** - All three indicators - Full divergence detection - Multi-timeframe analysis - Maximum information #### Oscillator Priority **Primary**: RSI (22) - Most reliable - Best divergence detection - Good for all timeframes - Use this as your main decision maker **Secondary**: CCI (33/77) - Adds cycle analysis - Great for confirmation - Dual-period crossovers valuable - Use to confirm RSI signals **Tertiary**: Williams %R (28) - Extreme readings useful - More volatile - Best for short-term - Use sparingly for extra confirmation #### Timeframe Considerations **Lower Timeframes (1m-15m):** - More signals, less reliable - Use tight divergence parameters - Focus on RSI crossovers - Quick entries and exits **Medium Timeframes (30m-4H):** - Balanced signal frequency - Default settings work well - Best for divergence trading - Swing trading optimal **Higher Timeframes (Daily+):** - Fewer but stronger signals - Widen divergence ranges - All indicators more reliable - Position trading best #### Divergence Trading Tips 1. **Wait for Confirmation** - Divergence alone isn't enough - Need price structure break - Volume helps validate 2. **Best at Extremes** - Divergences near 80/20 levels most reliable - Mid-level divergences often fail - Combine with support/resistance 3. **Multiple Divergences** - Second divergence stronger than first - Third divergence extremely powerful - Watch for "triple divergence" 4. **Timeframe Alignment** - Check higher timeframe for direction - Trade divergences in direction of larger trend - Counter-trend divergences riskier ### Indicator Combinations **With Moving Averages:** - Use EMAs (21/55/144) for trend - KSI for entry timing - Enter when both align **With Volume:** - Volume confirms breakouts - Divergence + volume divergence = Stronger - Low volume at extremes = Reversal likely **With Support/Resistance:** - Price levels for targets - KSI for entry timing - Divergences at levels = Highest probability **With Bias Indicator:** - Bias shows price deviation - KSI shows momentum - Both diverging = Strong reversal signal **With OBV Indicator:** - OBV shows volume trend - KSI shows price momentum - Volume/momentum divergence powerful ### Common Patterns 1. **Bullish Reversal**: All oscillators oversold + RSI bullish divergence 2. **Bearish Reversal**: All oscillators overbought + RSI bearish divergence 3. **Trend Acceleration**: RSI > 50, both CCIs rising, Williams %R not extreme 4. **Weakening Trend**: RSI declining while price rising (pre-divergence warning) 5. **Strong Trend**: All oscillators stay above/below 50 for extended period 6. **Consolidation**: Oscillators crossing 50 frequently without extremes 7. **Exhaustion**: Multiple oscillators at extreme + hidden divergence failure ### Performance Tips - Start simple: RSI only - Add indicators gradually as you learn - Disable unused features for cleaner charts - Use labels strategically (not always on) - Test different RSI lengths for your market - Adjust divergence parameters based on volatility ### Alert Conditions The indicator includes alerts for: - RSI crossing above 50 - RSI crossing below 50 - RSI regular bullish divergence - RSI regular bearish divergence - RSI hidden bullish divergence - RSI hidden bearish divergence --- ## 中文说明文档 ### 概述 Scout Regiment - KSI（关键随机指标）是一个综合性动量振荡器，将三个强大的技术指标 - RSI、CCI和威廉指标 - 组合到一个统一的显示中。这种多指标方法为交易者提供了市场动量、超买超卖状况和通过高级背离检测发现潜在反转点的多元视角。 ### 什么是KSI？ KSI代表"关键随机指标" - 一个综合动量指标： - 显示多个振荡器，标准化到0-100刻度 - 使用标准化波段（20/50/80）便于一致解读 - 结合RSI用于趋势、CCI用于周期、威廉指标用于反转检测 - 专门为RSI提供增强的背离检测 ### 核心功能 #### 1. **三重振荡器系统** **① RSI（相对强弱指数）** - 主要指标 - **用途**：测量动量并识别超买超卖状况 - **默认长度**：22周期 - **显示**：蓝色线（2像素） - **关键水平**： - 50以上：看涨动量 - 50以下：看跌动量 - 80以上：超买 - 20以下：超卖 - **特殊功能**： - 背景颜色指示（绿色/红色） - 50水平穿越标签 - 完整背离检测（4种类型） **② CCI（顺势指标）** - 双周期 - **用途**：识别周期性趋势和极端状况 - **双重显示**： - CCI(33)：短期周期 - 绿色线（1像素） - CCI(77)：中期周期 - 橙色线（1像素） - **默认数据源**：HLC3（典型价格） - **标准化刻度**：从±100映射到0-100以保持一致性 - **解读**： - 80以上：强劲上升动量 - 20以下：强劲下降动量 - 50水平：中性 - 周期间背离：趋势变化警告 **③ 威廉指标 %R** - 可选 - **用途**：识别超买超卖极值 - **默认长度**：28周期 - **显示**：洋红色线（2像素） - **刻度**：反转并标准化到0-100 - **最适合**：短期反转信号 - **默认**：禁用（需要额外确认时启用） #### 2. **标准化波段系统** **三层结构：** - **上轨（80）**：超买区域 - 强动量区域 - 注意反转信号 - 此处的背离最可靠 - **中线（50）**：均衡线 - 分隔看涨/看跌区域 - 穿越表示动量转变 - 关键决策水平 - **下轨（20）**：超卖区域 - 弱动量区域 - 寻找反弹信号 - 此处的背离预示潜在反转 **波段填充**：20-80之间的深色背景，增强视觉清晰度 #### 3. **RSI视觉增强** **背景颜色指示** - 绿色背景：RSI在50以上（看涨偏向） - 红色背景：RSI在50以下（看跌偏向） - 可选显示，图表更清爽 - 帮助识别整体动量方向 **穿越标签** - "突破"：RSI向上穿越50 - "跌破"：RSI向下穿越50 - 标记动量转变点 - 可开关 #### 4. **高级RSI背离检测** 指标仅为RSI（最可靠的振荡器）提供全面背离检测： **常规看涨背离（黄色）** - **价格**：更低的低点 - **RSI**：更高的低点 - **信号**：潜在向上反转 - **标签**："涨" - **最常见**：在超卖水平附近（30以下） **常规看跌背离（蓝色）** - **价格**：更高的高点 - **RSI**：更低的高点 - **信号**：潜在向下反转 - **标签**："跌" - **最常见**：在超买水平附近（70以上） **隐藏看涨背离（浅黄色）** - **价格**：更高的低点 - **RSI**：更低的低点 - **信号**：上升趋势延续 - **标签**："隐涨" - **用途**：加仓现有多头 **隐藏看跌背离（浅蓝色）** - **价格**：更低的高点 - **RSI**：更高的高点 - **信号**：下降趋势延续 - **标签**："隐跌" - **用途**：加仓现有空头 **背离参数**（完全可自定义）： - **右侧回溯**：枢轴点右侧K线数（默认：5） - **左侧回溯**：枢轴点左侧K线数（默认：5） - **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） ### 配置设置 #### KSI显示设置 - **显示RSI**：切换RSI指标 - **显示CCI**：切换两条CCI线 - **显示威廉指标 %R**：切换威廉指标（可选） #### RSI设置 - **RSI长度**：计算周期（默认：22） - **数据源**：价格源（默认：收盘价） - **显示背景**：切换绿色/红色背景 - **显示穿越标签**：切换50水平穿越标签 #### RSI背离设置 - **右侧回溯**：枢轴检测右侧 - **左侧回溯**：枢轴检测左侧 - **回溯范围最大值**：最大回溯距离 - **回溯范围最小值**：最小回溯距离 - **显示常规背离**：启用常规背离线 - **显示常规背离标签**：启用常规背离标签 - **显示隐藏背离**：启用隐藏背离线 - **显示隐藏背离标签**：启用隐藏背离标签 #### CCI设置 - **CCI长度**：短期周期（默认：33） - **CCI中期长度**：中期周期（默认：77） - **数据源**：价格计算（默认：HLC3） - **显示CCI(33)**：切换短期CCI - **显示CCI(77)**：切换中期CCI #### 威廉指标 %R 设置 - **长度**：计算周期（默认：28） - **数据源**：价格源（默认：收盘价） ### 使用方法 #### 基础动量交易 1. **仅启用RSI**（主要指标） - 关注50水平穿越 - 启用穿越标签获取信号 2. **识别动量方向** - RSI > 50 = 看涨动量 - RSI < 50 = 看跌动量 - 背景颜色确认方向 3. **寻找极值** - RSI > 80 = 超买（考虑卖出） - RSI < 20 = 超卖（考虑买入） 4. **交易设置** - RSI从超卖区向上穿越50时做多 - RSI从超买区向下穿越50时做空 #### 背离交易 1. **启用RSI和背离检测** - 打开常规背离 - 可选添加隐藏背离 2. **等待背离信号** - 黄色标签 = 看涨背离 - 蓝色标签 = 看跌背离 3. **用价格结构确认** - 等待支撑/阻力突破 - 寻找K线形态 - 检查成交量确认 4. **进入仓位** - 确认后进入 - 止损设在背离枢轴点之外 - 目标下一个关键水平 #### 多振荡器确认 1. **启用全部三个指标** - RSI（动量） - CCI双周期（周期分析） - 威廉指标 %R（极值） 2. **寻找一致性** - 全部在50以上 = 强劲看涨 - 全部在50以下 = 强劲看跌 - 信号混合 = 盘整 3. **识别极值** - 所有指标 > 80 = 极度超买 - 所有指标 < 20 = 极度超卖 4. **交易反转** - 所有指标在极值一致时逆势进入 - 可能的话用背离确认 - 使用紧密止损 #### CCI双周期分析 1. **启用两条CCI线** - CCI(33) = 短期 - CCI(77) = 中期 2. **观察穿越** - 绿色线穿越橙色线向上 = 看涨加速 - 绿色线穿越橙色线向下 = 看跌加速 3. **分析周期间背离** - 短期上升，中期下降 = 潜在反转 - 两者同时上升 = 强趋势 4. **相应交易** - 跟随穿越方向 - 线条汇合时退出 ### 交易策略 #### 策略1：RSI 50水平穿越 **设置：** - 启用RSI及背景和标签 - 等待明确趋势 - 寻找回调至50水平 **入场：** - 多头：回调后出现"突破"标签 - 空头：反弹后出现"跌破"标签 **止损：** - 多头：近期波动低点之下 - 空头：近期波动高点之上 **离场：** - 出现相反穿越标签 - 或预定目标（2:1风险收益比） **适合：**趋势跟随、明确市场 #### 策略2：RSI背离反转 **设置：** - 启用RSI和常规背离 - 等待极端水平（>70或<30） - 寻找背离信号 **入场：** - 多头：超卖水平出现黄色"涨"标签 - 空头：超买水平出现蓝色"跌"标签 **确认：** - 等待价格突破结构 - 检查成交量增加 - 寻找K线反转形态 **止损：** - 背离枢轴点之外 **离场：** - 在50水平部分获利 - 其余在相反极值或背离处离场 **适合：**波段交易、震荡市场 #### 策略3：三重振荡器汇合 **设置：** - 启用全部三个指标 - 等待全部达到极值（>80或<20） - 寻找一致性 **入场：** - 多头：三个全部低于20，第一个向上穿越20 - 空头：三个全部高于80，第一个向下穿越80 **确认：** - 所有指标必须一致 - 价格在支撑/阻力位 - 成交量激增有帮助 **止损：** - 固定百分比或基于ATR **离场：** - 任一指标穿越50水平时 - 或在预定目标 **适合：**高概率反转、波动市场 #### 策略4：CCI双周期系统 **设置：** - 仅启用两条CCI线 - 禁用RSI和威廉指标以保持清晰 - 观察穿越 **入场：** - 多头：CCI(33)在50线下方向上穿越CCI(77) - 空头：CCI(33)在50线上方向下穿越CCI(77) **确认：** - 两者都应朝入场方向移动 - 价格突破关键水平有帮助 **止损：** - CCI反向穿越时 **离场：** - 两条CCI进入相反极值区域 - 或移动止损 **适合：**捕捉趋势延续、动量交易 #### 策略5：隐藏背离延续 **设置：** - 启用RSI和隐藏背离 - 确认现有趋势 - 等待回调 **入场：** - 上升趋势：回调期间出现"隐涨"标签 - 下降趋势：反弹期间出现"隐跌"标签 **确认：** - 价格守住关键移动平均线 - 趋势结构完整 **止损：** - 回调极值之外 **离场：** - 出现常规背离（反转警告） - 或趋势结构破坏 **适合：**加仓、趋势交易 ### 最佳实践 #### 选择显示哪些指标 **新手：** - 仅使用RSI - 启用背景颜色和标签 - 关注50水平穿越 - 简单有效 **中级交易者：** - RSI + 常规背离 - 添加CCI确认 - 使用双重视角 - 更高准确度 **高级交易者：** - 全部三个指标 - 完整背离检测 - 多时间框架分析 - 信息最大化 #### 振荡器优先级 **主要**：RSI (22) - 最可靠 - 最佳背离检测 - 适用所有时间框架 - 用作主要决策依据 **次要**：CCI (33/77) - 添加周期分析 - 确认效果好 - 双周期穿越有价值 - 用于确认RSI信号 **第三**：威廉指标 %R (28) - 极值读数有用 - 更波动 - 最适合短期 - 谨慎使用以获额外确认 #### 时间框架考虑 **低时间框架（1分钟-15分钟）：** - 更多信号，可靠性较低 - 使用紧密背离参数 - 关注RSI穿越 - 快速进出 **中等时间框架（30分钟-4小时）：** - 信号频率平衡 - 默认设置效果好 - 最适合背离交易 - 波段交易最优 **高时间框架（日线+）：** - 信号较少但更强 - 扩大背离范围 - 所有指标更可靠 - 最适合仓位交易 #### 背离交易技巧 1. **等待确认** - 仅背离不够 - 需要价格结构突破 - 成交量帮助验证 2. **极值处最佳** - 80/20水平附近的背离最可靠 - 中间水平背离常失败 - 结合支撑/阻力 3. **多重背离** - 第二次背离强于第一次 - 第三次背离极其强大 - 注意"三重背离" 4. **时间框架对齐** - 检查更高时间框架方向 - 顺大趋势方向交易背离 - 逆势背离风险更大 ### 指标组合 **与移动平均线配合：** - 使用EMA（21/55/144）确定趋势 - KSI用于入场时机 - 两者一致时进入 **与成交量配合：** - 成交量确认突破 - 背离 + 成交量背离 = 更强 - 极值处低成交量 = 可能反转 **与支撑/阻力配合：** - 价格水平作为目标 - KSI用于入场时机 - 水平处的背离 = 最高概率 **与Bias指标配合：** - Bias显示价格偏离 - KSI显示动量 - 两者都背离 = 强反转信号 **与OBV指标配合：** - OBV显示成交量趋势 - KSI显示价格动量 - 成交量/动量背离强大 ### 常见形态 1. **看涨反转**：所有振荡器超卖 + RSI看涨背离 2. **看跌反转**：所有振荡器超买 + RSI看跌背离 3. **趋势加速**：RSI > 50，两条CCI上升，威廉指标不极端 4. **趋势减弱**：价格上升时RSI下降（背离前警告） 5. **强趋势**：所有振荡器长时间保持在50上方/下方 6. **盘整**：振荡器频繁穿越50无极值 7. **衰竭**：多个振荡器在极值 + 隐藏背离失败 ### 性能提示 - 从简单开始：仅RSI - 学习时逐渐添加指标 - 禁用未使用功能以保持图表清晰 - 策略性使用标签（不总是开启） - 为您的市场测试不同RSI长度 - 根据波动性调整背离参数 ### 警报条件 指标包含以下警报： - RSI向上穿越50 - RSI向下穿越50 - RSI常规看涨背离 - RSI常规看跌背离 - RSI隐藏看涨背离 - RSI隐藏看跌背离 --- ## 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。
Indicador Pine Script®
por lwmxmpyp
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。
Indicador Pine Script®
por lwmxmpyp
Scout Regiment - Bias# Scout Regiment - Bias Indicator ## English Documentation ### Overview Scout Regiment - Bias is a technical indicator that measures the deviation (bias) between the current price and exponential moving averages (EMAs). It helps traders identify overbought/oversold conditions, trend strength, and potential reversal points through divergence detection. ### What is Bias? Bias measures how far the price has moved away from a moving average, expressed as a percentage: - **Positive Bias**: Price is above the EMA (potential overbought) - **Negative Bias**: Price is below the EMA (potential oversold) - **Formula**: Bias = (Price - EMA) / EMA × 100 ### Key Features #### 1. **Triple EMA Bias Lines** The indicator calculates bias from three different EMAs: - **EMA 55 Bias** (Default: Green/Red, 1px line) - Short-term bias measurement - Quick response to price changes - Best for intraday and swing trading - **EMA 144 Bias** (Pink, 2px line) - Medium-term bias measurement - Balanced response to price movements - Ideal for swing trading - **EMA 233 Bias** (White, 2px line) - Long-term bias measurement - Slower response, more stable - Best for position trading **Color Coding:** - Green: Price above EMA (bullish) - Red: Price below EMA (bearish) #### 2. **Visual Components** **Histogram Display** - Shows EMA 55 bias as a histogram for easy visualization - Green bars: Price above EMA 55 - Red bars: Price below EMA 55 - Can be toggled on/off **Background Color** - Light green background: Bullish bias (price above EMA 55) - Light red background: Bearish bias (price below EMA 55) - Optional display for cleaner charts **Zero Line** - White horizontal line at 0% - Reference point for positive/negative bias - Crossovers indicate trend changes **Crossover Labels** - "突破" (Breakout): When bias crosses above zero - "跌破" (Breakdown): When bias crosses below zero - Can be enabled/disabled for clarity #### 3. **Divergence Detection** The indicator automatically detects regular divergences for all three bias lines: **Bullish Divergence (Yellow Labels)** - Price makes lower lows - Bias makes higher lows - Suggests potential upward reversal - Labels: "55涨", "144涨", "233涨" **Bearish Divergence (Blue Labels)** - Price makes higher highs - Bias makes lower highs - Suggests potential downward reversal - Labels: "55跌", "144跌", "233跌" **Divergence Parameters** (Customizable for each EMA): - Left Lookback: Bars to the left of pivot (default: 5) - Right Lookback: Bars to the right of pivot (default: 1) - Max Lookback Range: Maximum distance between pivots (default: 60) - Min Lookback Range: Minimum distance between pivots (default: 5) ### Configuration Settings #### Bias Settings - **EMA Periods**: Customize lengths for EMA 55, 144, and 233 - **Price Source**: Choose calculation source (default: close) - **Enable/Disable**: Toggle each bias line independently #### Display Settings - **Show Histogram**: Toggle histogram display - **Show Background Color**: Toggle background coloring - **Show Crossover Labels**: Toggle breakout/breakdown labels #### Divergence Settings (Per EMA) - Individual controls for EMA 55, 144, and 233 divergences - Customizable lookback parameters for precision tuning - Adjustable range settings for different market conditions ### How to Use #### For Trend Trading 1. **Identify Trend Direction** - Price above zero = Uptrend - Price below zero = Downtrend 2. **Confirm with Multiple Timeframes** - EMA 55: Short-term trend - EMA 144: Medium-term trend - EMA 233: Long-term trend 3. **Trade in Direction of Bias** - All three lines positive = Strong uptrend - All three lines negative = Strong downtrend #### For Mean Reversion Trading 1. **Identify Extremes** - High positive bias (>5-10%) = Overbought - High negative bias (<-5 to -10%) = Oversold 2. **Wait for Confirmation** - Look for bias to turn back toward zero - Watch for crossover labels 3. **Enter on Reversal** - Enter long when extreme negative bias starts rising - Enter short when extreme positive bias starts falling #### For Divergence Trading 1. **Spot Divergence Labels** - Yellow labels = Bullish divergence (potential buy) - Blue labels = Bearish divergence (potential sell) 2. **Confirm with Price Action** - Wait for price to confirm with structure break - Look for support/resistance reactions 3. **Use Multiple EMAs** - EMA 55 divergence: Quick reversals - EMA 144 divergence: Reliable signals - EMA 233 divergence: Major trend changes #### For Multi-Timeframe Analysis 1. **Check Long-term Bias** (EMA 233) - Determines overall market direction 2. **Find Medium-term Entry** (EMA 144) - Look for pullbacks in long-term trend 3. **Time Short-term Entry** (EMA 55) - Enter when short-term aligns with longer timeframes ### Trading Strategies #### Strategy 1: Triple Confirmation - Wait for all three bias lines to be positive (or negative) - Enter in direction of unanimous bias - Exit when any line crosses zero - Best for: Strong trending markets #### Strategy 2: Divergence Trading - Enable all divergence detection - Take trades only when divergence appears - Confirm with price structure - Best for: Range-bound and reversal setups #### Strategy 3: Zero Line Crossover - Enable crossover labels - Enter long on "突破" labels - Enter short on "跌破" labels - Use stop loss at recent swing points - Best for: Trend following #### Strategy 4: Extreme Reversion - Wait for bias to reach extremes (>10% or <-10%) - Enter counter-trend when bias reverses - Exit at zero line - Best for: Ranging markets ### Best Practices 1. **Combine with Price Action** - Don't trade bias alone - Confirm with support/resistance - Look for candlestick patterns 2. **Use Multiple Timeframes** - Check higher timeframe bias - Trade in direction of larger trend - Use lower timeframe for entry timing 3. **Manage Risk** - Set stop losses beyond recent swings - Don't fight extreme bias in strong trends - Reduce position size at extremes 4. **Customize for Your Market** - Volatile assets: Use wider ranges - Stable assets: Use tighter ranges - Adjust EMA periods for your timeframe 5. **Watch for False Signals** - Multiple small divergences = Less reliable - Divergences at extremes = More reliable - Confirm with other indicators ### Indicator Combinations **With Volume:** - High bias + Low volume = Weak move - High bias + High volume = Strong move **With Moving Averages:** - Check if price is above/below key EMAs - Bias confirms EMA trend strength **With RSI/MACD:** - Multiple indicator divergence = Stronger signal - Use bias for overbought/oversold confirmation ### Performance Tips - Disable unused features for faster loading - Use histogram for quick visual reference - Enable background color for trend clarity - Use divergence detection selectively ### Common Patterns 1. **Bias Expansion**: Bias increasing = Strong trend 2. **Bias Contraction**: Bias decreasing = Trend weakening 3. **Zero Line Bounce**: Price respects EMA as support/resistance 4. **Extreme Bias**: Over-extension, watch for reversal 5. **Divergence Cluster**: Multiple EMAs diverging = High probability reversal ### Alert Conditions You can set alerts for: - Bias crossing above/below zero - Extreme bias levels - Divergence detection - All three bias lines aligned --- ## 中文说明文档 ### 概述 Scout Regiment - Bias 是一个技术指标，用于测量当前价格与指数移动平均线（EMA）之间的偏离程度（乖离率）。它帮助交易者识别超买超卖状况、趋势强度，以及通过背离检测发现潜在的反转点。 ### 什么是乖离率？ 乖离率衡量价格偏离移动平均线的程度，以百分比表示： - **正乖离**：价格高于EMA（可能超买） - **负乖离**：价格低于EMA（可能超卖） - **计算公式**：乖离率 = (价格 - EMA) / EMA × 100 ### 核心功能 #### 1. **三重EMA乖离率线** 指标计算三条不同EMA的乖离率： - **EMA 55 乖离率**（默认：绿色/红色，1像素线） - 短期乖离测量 - 对价格变化反应快速 - 适合日内和波段交易 - **EMA 144 乖离率**（粉色，2像素线） - 中期乖离测量 - 对价格波动反应平衡 - 最适合波段交易 - **EMA 233 乖离率**（白色，2像素线） - 长期乖离测量 - 反应较慢，更稳定 - 适合仓位交易 **颜色编码：** - 绿色：价格高于EMA（看涨） - 红色：价格低于EMA（看跌） #### 2. **视觉组件** **柱状图显示** - 以柱状图形式显示EMA 55乖离率，便于可视化 - 绿色柱：价格高于EMA 55 - 红色柱：价格低于EMA 55 - 可开关显示 **背景颜色** - 浅绿色背景：看涨乖离（价格高于EMA 55） - 浅红色背景：看跌乖离（价格低于EMA 55） - 可选显示，图表更清爽 **零轴** - 零点位置的白色横线 - 正负乖离的参考点 - 穿越表示趋势变化 **穿越标签** - "突破"：乖离率向上穿越零轴 - "跌破"：乖离率向下穿越零轴 - 可启用/禁用以保持清晰 #### 3. **背离检测** 指标自动检测所有三条乖离率线的常规背离： **看涨背离（黄色标签）** - 价格创新低 - 乖离率创更高的低点 - 暗示潜在向上反转 - 标签："55涨"、"144涨"、"233涨" **看跌背离（蓝色标签）** - 价格创新高 - 乖离率创更低的高点 - 暗示潜在向下反转 - 标签："55跌"、"144跌"、"233跌" **背离参数**（每个EMA可自定义）： - 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：1） - 最大回溯范围：枢轴点之间最大距离（默认：60） - 最小回溯范围：枢轴点之间最小距离（默认：5） ### 配置设置 #### Bias设置 - **EMA周期**：自定义EMA 55、144和233的长度 - **价格源**：选择计算源（默认：收盘价） - **启用/禁用**：独立切换每条乖离率线 #### 显示设置 - **显示柱状图**：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（按EMA） - EMA 55、144和233背离的独立控制 - 可自定义回溯参数用于精确调整 - 可调整范围设置以适应不同市场状况 ### 使用方法 #### 趋势交易 1. **识别趋势方向** - 价格高于零 = 上升趋势 - 价格低于零 = 下降趋势 2. **多时间框架确认** - EMA 55：短期趋势 - EMA 144：中期趋势 - EMA 233：长期趋势 3. **顺乖离方向交易** - 三条线全部为正 = 强劲上升趋势 - 三条线全部为负 = 强劲下降趋势 #### 均值回归交易 1. **识别极值** - 高正乖离（>5-10%）= 超买 - 高负乖离（<-5至-10%）= 超卖 2. **等待确认** - 等待乖离率回归零轴 - 观察穿越标签 3. **在反转时进场** - 极端负乖离开始上升时做多 - 极端正乖离开始下降时做空 #### 背离交易 1. **发现背离标签** - 黄色标签 = 看涨背离（潜在买入） - 蓝色标签 = 看跌背离（潜在卖出） 2. **用价格行为确认** - 等待价格通过结构突破确认 - 观察支撑/阻力反应 3. **使用多个EMA** - EMA 55背离：快速反转 - EMA 144背离：可靠信号 - EMA 233背离：重大趋势变化 #### 多时间框架分析 1. **检查长期乖离**（EMA 233） - 确定整体市场方向 2. **寻找中期入场**（EMA 144） - 在长期趋势中寻找回调 3. **把握短期入场时机**（EMA 55） - 短期与长期时间框架一致时进场 ### 交易策略 #### 策略1：三重确认 - 等待三条乖离率线全部为正（或负） - 顺一致乖离方向入场 - 任一线穿越零轴时离场 - 适合：强趋势市场 #### 策略2：背离交易 - 启用所有背离检测 - 仅在出现背离时交易 - 用价格结构确认 - 适合：震荡和反转设置 #### 策略3：零轴穿越 - 启用穿越标签 - 在"突破"标签时做多 - 在"跌破"标签时做空 - 在近期波动点设置止损 - 适合：趋势跟随 #### 策略4：极值回归 - 等待乖离率达到极值（>10%或<-10%） - 乖离率反转时逆趋势入场 - 在零轴离场 - 适合：震荡市场 ### 最佳实践 1. **结合价格行为** - 不要单独使用乖离率交易 - 用支撑/阻力确认 - 寻找K线形态 2. **使用多时间框架** - 检查更高时间框架的乖离 - 顺大趋势方向交易 - 用低时间框架把握入场时机 3. **风险管理** - 在近期波动之外设置止损 - 不要在强趋势中对抗极端乖离 - 在极值处减少仓位 4. **针对您的市场定制** - 波动大的资产：使用更宽的范围 - 稳定的资产：使用更紧的范围 - 根据时间框架调整EMA周期 5. **警惕假信号** - 多个小背离 = 可靠性较低 - 极值处的背离 = 更可靠 - 用其他指标确认 ### 指标组合 **与成交量配合：** - 高乖离 + 低成交量 = 弱势波动 - 高乖离 + 高成交量 = 强势波动 **与移动平均线配合：** - 检查价格是否在关键EMA上方/下方 - 乖离率确认EMA趋势强度 **与RSI/MACD配合：** - 多指标背离 = 更强信号 - 使用乖离率确认超买超卖 ### 性能提示 - 禁用未使用的功能以加快加载 - 使用柱状图快速视觉参考 - 启用背景颜色以清晰显示趋势 - 有选择地使用背离检测 ### 常见形态 1. **乖离扩张**：乖离率增大 = 强趋势 2. **乖离收缩**：乖离率减小 = 趋势减弱 3. **零轴反弹**：价格将EMA作为支撑/阻力 4. **极端乖离**：过度延伸，注意反转 5. **背离集群**：多个EMA背离 = 高概率反转 ### 警报条件 您可以为以下情况设置警报： - 乖离率向上/向下穿越零轴 - 极端乖离水平 - 背离检测 - 三条乖离率线对齐 --- ## 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。
Indicador Pine Script®
por lwmxmpyp
CNN Fear and Greed StrategyAdaptation of the CNN Fear and Greed Index Indicator (Original by EdgeTools) The following changes have been implemented: Put/Call Ratio Data Source: The data source for the Put/Call Ratio has been updated. Bond Data Source: The data sources for the bond components (Safe Haven Demand and Junk Bond Demand) have been updated. Normalization Adjustment: The normalization method has been adjusted to allow the CNN Fear and Greed Index to display over a longer historical period, optimizing it for backtesting purposes. Style Modification: The display style has been modified for a simpler and cleaner appearance. Strategy Logic Addition: Added a new strategy entry condition: index >= 25 AND index crosses over its 5-period Simple Moving Average (SMA), and a corresponding exit condition of holding the position for 252 bars (days). CNN Fear & Greed Backtest Strategy (Adapted) This script is an adaptation of the popular CNN Fear & Greed Index, originally created by EdgeTools, with significant modifications to optimize it for long-term backtesting on the TradingView platform. The core function of the Fear & Greed Index is to measure the current emotional state of the stock market, ranging from 0 (Extreme Fear) to 100 (Extreme Greed). It operates on the principle that excessive fear drives prices too low (a potential buying opportunity), and excessive greed drives them too high (a potential selling opportunity). Key Components of the Index (7 Factors) The composite index is calculated as a weighted average of seven market indicators, each normalized to a score between 0 and 100: Market Momentum: S&P 500's current level vs. its 125-day Moving Average. Stock Price Strength: Stocks hitting 52-week highs vs. those hitting 52-week lows. Stock Price Breadth: Measured by the McClellan Volume Summation Index (or similar volume/breadth metric). Put/Call Ratio: The relationship between volume of put options (bearish bets) and call options (bullish bets). Market Volatility: The CBOE VIX Index relative to its 50-day Moving Average. Safe Haven Demand: The relative performance of stocks (S&P 500) vs. bonds. Junk Bond Demand: The spread between high-yield (junk) bonds and U.S. Treasury yields. Critical Adaptations for Backtesting To improve the index's utility for quantitative analysis, the following changes were made: Long-Term Normalization: The original normalization method (ta.stdev over a short LENGTH) has been replaced or adjusted to use longer historical data. This change ensures the index generates consistent and comparable sentiment scores across decades of market history, which is crucial for reliable backtesting results. Updated Data Sources: Specific ticker requests for the Put/Call Ratio and Bond components (Safe Haven and Junk Bond Demand) have been updated to use the most reliable and long-running data available on TradingView, reducing data gaps and improving chart continuity. Simplified Visuals: The chart display is streamlined, focusing only on the final Fear & Greed Index line and key threshold levels (25, 50, 75) for quick visual assessment. Integrated Trading Strategy This script also includes a simple, rules-based strategy designed to test the counter-trend philosophy of the index: Entry Logic (Long Position): A long position is initiated when the market shows increasing fear, specifically when the index score is less than or equal to the configurable FEAR_LEVEL (default 25) and the index crosses above its own short-term 5-period Simple Moving Average (SMA). This crossover acts as a confirmation that sentiment may be starting to turn around from peak fear. Exit Logic (Time-Based): All positions are subject to a time-based exit after holding for 252 trading days (approximately one year). This fixed holding period aims to capture the typical duration of a cyclical market recovery following a major panic event.
Estrategia Pine Script®
por rwanwan
DualTrend [CHE]DualTrend Indicator for TradingView Overview Introducing the DualTrend indicator, a powerful tool designed to enhance your trading strategies on TradingView. Inspired by the renowned HalfTrend Indicator developed by everget, DualTrend combines dual amplitude settings to provide clearer trend signals and more precise entry and exit points. Whether you're a beginner or an experienced trader, this indicator is crafted to assist you in making informed trading decisions with greater confidence. Key Features - Dual Amplitude Settings - Fast Amplitude: Configurable to quickly respond to market changes, ideal for short-term trading. - Slow Amplitude: Smoother and less sensitive, perfect for identifying long-term trends. - Channel Deviation Control - Customize the channel deviation to adjust the sensitivity of the trend lines based on market volatility. - Visual Trade Signals - Buy Signals: Indicated by green upward-pointing triangles below the price bars. - Sell Signals: Indicated by red downward-pointing triangles above the price bars. - Easily distinguishable signals to streamline your trading decisions. - Customizable Alerts - Set up alerts for buy and sell signals to stay informed in real-time, ensuring you never miss an opportunity. - Clear Trend Lines - Fast HalfTrend Line: Plotted in blue for quick trend identification. - Slow HalfTrend Line: Plotted in orange for long-term trend analysis. - User-Friendly Inputs - Adjustable parameters to tailor the indicator to your specific trading style and market conditions. How It Works The DualTrend indicator calculates two HalfTrend lines based on different amplitude settings—Fast and Slow. These lines represent potential support and resistance levels derived from the average true range (ATR) and simple moving averages (SMA). - Trend Detection: - When the Fast HalfTrend line crosses above the Slow HalfTrend line, a Buy Signal is generated. - Conversely, when the Fast HalfTrend line crosses below the Slow HalfTrend line, a Sell Signal is triggered. - Adaptive Channels: - The indicator dynamically adjusts the channels around the trend lines using ATR-based deviations, providing a responsive measure to market volatility. Why Choose DualTrend ? - Inspired by Excellence: Built upon the foundational principles of the HalfTrend Indicator by everget, DualTrend offers enhanced functionality and flexibility. - Versatile Application: Suitable for various financial instruments, including stocks, forex, commodities, and cryptocurrencies. - Educational Purpose: Designed to help traders understand and implement trend-following strategies effectively. Disclaimer 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. Installation & Usage 1. Add to TradingView: - Copy the provided Pine Script code. - Open TradingView and navigate to the Pine Script editor. - Paste the code and save the script as "DualTrend ". - Add the indicator to your chart. 2. Customize Settings: - Adjust the Fast Amplitude and Slow Amplitude to match your trading preferences. - Modify the Channel Deviation to control the sensitivity of the trend lines. - Toggle Show Arrows to display or hide buy/sell signals. 3. Set Up Alerts: - Configure alerts based on the buy and sell signals to receive real-time notifications. Conclusion Elevate your trading strategy with the DualTrend indicator. Leveraging the proven methodology of the HalfTrend Indicator by everget, this tool offers dual trend analysis, customizable settings, and clear visual signals to help you navigate the markets with precision. Whether you're aiming to capture short-term movements or identify long-term trends, DualTrend is your reliable companion on TradingView. Happy Trading! Best regards Chervolino This indicator is inspired by the well-known Everget HalfTrend:
Indicador Pine Script®
por chervolino
OSOM TrendHow to Use the OSOM Breakers Indicator The OSOM Breakers indicator is a customizable overlay tool for TradingView (Pine Script v5) that identifies market structure patterns, breakouts, breakers (order blocks), and price targets based on pivots, higher highs/lows (HH/LL), and breaks of structure (BoS/MSB). It helps visualize bullish/bearish trends, potential reversals, and target levels, with a focus on institutional "order blocks" (OB) for support/resistance. The indicator supports alerts indirectly through plotted events and is optimized for volatile markets like forex, crypto, or indices. 1. Adding the Indicator to Your Chart Open TradingView (tradingview.com) and load a chart for your desired asset. Click the "Indicators" button at the top. Search for "OSOM Breakers" (if community-shared) or add via Pine Editor: Open the Pine Editor tab at the bottom. Paste the provided code (from //@version=5 to the end). Click "Save" and name it (e.g., "OSOM Breakers"). Click "Add to Chart". The indicator overlays on your chart with defaults like dashed zigzag lines, HH/LL labels, and green/red colors for bull/bear elements. 2. Configuring Inputs Click the gear icon next to the indicator name in the legend to access settings. Inputs are grouped: Nephew_Sam Market Structure Settings: Pivot strength (default 5; higher for smoother, lower for sensitivity). Toggles for zigzag lines, BoS lines, HH/LL labels, and pattern matches. Nephew_Sam Bull/Bear Patterns: Pre-defined sequences (e.g., "LL,LH,LL,HH,HL" for bull patterns) with text labels (e.g., "BOS HL 1") and toggles. Customize up to 7 per direction for specific setups like BOS (break of structure) or MSS (market structure shift). Nephew_Sam Styles: Colors for HH/LL (green up, red down), labels, zigzag style (dashed/dotted), and width (1-4). Market Structure Break Targets Settings: Max duration (250 bars), calculation method (Percent or ATR), ATR multiplier (2.0). Enable/disable bull/bear MSB/BoS, set colors (green/red), and % targets (100% default). Breakers Settings: Max breaks (1; increase for stricter breaker confirmation), max duration (1000 bars). Colors for bullish MS (green), bull breaker (red), bearish MS (red), bear breaker (green). Defaults suit 15m-1h charts; reduce pivot strength for scalping (1m-5m) or increase for daily+. Test patterns on historical data to match your strategy. 3. Interpreting the Visuals and Signals Zigzag and HH/LL Labels: Dashed/dotted lines connect pivots; green for upswings, red for downswings (if enabled). Labels like "HH" (higher high), "LH" (lower high), "LL" (lower low), "HL" (higher low) appear at pivots. Green for bullish, red for bearish. Pattern Matches: Labels (e.g., "BOS HL 1") at pivots when sequences match user-defined bull/bear conditions. Up arrows for bull, down for bear. Use for spotting reversals or continuations (e.g., bull pattern after downtrend signals potential long). Market Structure Breaks (MSB/BoS): Solid lines: Green for bullish MSB/BoS (break above prior high), red for bearish (break below prior low). Labels: "MSB" or "MSS" (shift) at breaks, "BoS" for breaks of structure. Boxes: Translucent green/red "OB" (order block) boxes highlight ranges before breaks – potential support (post-bull break) or resistance (post-bear). Targets: Dotted horizontal/vertical lines extend from breaks to projected targets (percent of range or ATR-based). Active until hit or expired (after max duration). Green for bull targets (above), red for bear (below). Breakers: Dotted lines: Recent MSB/BoS levels that act as breakers (e.g., red dotted for bull breaker). Plotted shapes: "▲" (green below bar) for bull MSB breakout, "▼" (red above) for bear. Candle borders: Green for support events (price tests breaker from above), red for resistance (from below). Overall Direction: Tracks bullish (1) or bearish (-1) based on recent breaks; use for trend bias. 4. Trading Strategies Breakout Trading: Enter long on green "▲" (bull breakout) above MSB/BoS lines; short on red "▼" below. Target dotted lines (e.g., 100% of prior range). Order Block (OB) Plays: Buy at green OB boxes (support after bull break), sell at red (resistance after bear). Confirm with support/resistance events. Pattern-Based Reversals: Long on bull patterns (e.g., "BOS HL") after bearish structure; short on bear patterns. Filter with HH/LL (e.g., HH after LL signals uptrend). Trend Continuation: In bullish direction, stack longs on BoS breaks; use breakers as trailing stops. Risk Management: Stops below recent LL (longs) or above HH (shorts). Position size based on ATR (from targets). Avoid choppy markets by disabling patterns. Timeframes: Scalping (1m-15m with low pivot strength), swing (1h-4h), position (daily with higher strength). Combine with volume indicators for confirmation. 5. Alerts and Automation No built-in alertcondition(); set manual alerts in TradingView: Right-click chart > Add Alert > Condition (e.g., "OSOM Breakers - Bull MSB Breakout" crosses 1 for "▲"). Or alert on close crossing MSB/BoS lines (use indicator plots as conditions). For strategies: Convert to a strategy script by adding strategy() entries/exits based on breaks/patterns. 6. Tips and Best Practices Asset Suitability: Ideal for trending markets (e.g., BTC/USD, EUR/USD). Less effective in ranging; toggle off zigzag/boxes to reduce clutter. Performance: Limits (500 lines/boxes/labels) prevent overload; delete oldest automatically. Backtest on replay mode. Customization: Add custom patterns (e.g., for ICT/SMC concepts like fair value gaps). Match colors to your theme. Limitations: Relies on pivots – false signals in low-volatility; no volume integration (pair with another indicator). Targets are projections, not guarantees. Enhancements: Combine with OSOM Trend for volume confirmation. Practice on demo charts. This indicator provides a structured view of price action, emphasizing breaks and targets for systematic trading. Always validate with multiple timeframes and risk controls.
Indicador Pine Script®
por OSOM_
1
OSOM TrendHow to Use the OSOM Trend Indicator The OSOM Trend indicator is designed for use on TradingView charts. It provides trend identification, entry/exit signals, breakout detection, volume analysis, and market state insights. Below is a step-by-step guide to setting it up and using it effectively. 1. Adding the Indicator to Your Chart Open TradingView (tradingview.com) and load a chart for your desired asset (e.g., stock, crypto, forex). Click the "Indicators" button at the top of the chart. Search for "OSOM Trend" (if it's a community script, you may need to paste the Pine Script code into the Pine Editor). To add via Pine Editor: Click the Pine Editor tab at the bottom. Paste the provided code (from //@version=6 to the end). Click "Save" and name it (e.g., "OSOM Trend"). Click "Add to Chart". The indicator will overlay on your chart with default settings. 2. Configuring Inputs Once added, click the gear icon next to the indicator name in the chart legend to open settings. Inputs are grouped for ease: OSOM WV Settings: Adjust trend length (default 14 for sensitivity), smoothing (7), band width (0.8 ATR multiplier), ATR length (10). Toggle fast mode for minimal lag, signals, forecast, take-profits, and re-entries. Breakout Boxes Settings: Set pivot length (5), box widths (0.5 upper/lower via sliders), and colors. MMB Settings: Volume lookback (200), EMA smoothing (10). PVSRA Settings: Length (10), multipliers for climax/rising volumes (2.0/1.5). Optional symbol override (e.g., for aggregated BTC data). Vector Candle Zones: Toggle on/off, max zones (500), zone type (body/wicks), transparency (90). CVD Settings: Toggle long/short MAs (55/34 EMA), multipliers (1.5), lengths (40). Enable higher TF, volume integration, dynamic clouds, bar coloring, and status table. Start with defaults for most assets; reduce lengths for lower timeframes (e.g., 1m-15m) to increase responsiveness, or increase for higher TFs (e.g., daily) for smoother trends. Visual tweaks: Choose label size (small to reduce clutter), colors, and mode (Cloud for channels, Line Only for simplicity). 3. Interpreting the Visuals and Signals Trend Line and Bands/Cloud: Green (bullish) when price > upper band; red (bearish) when < lower band; gray (neutral). Cloud mode shows a filled channel; use for range visualization. Single Band highlights the active support/resistance. Buy/Sell Signals: Up arrow (↑) labels for buys (price crosses over upper band); down arrow (↓) for sells (crosses under lower band). If forecast enabled, labels show "count/avg" (e.g., "↑ 5/10") – current trend bars vs. smoothed historical average. Take-profit: "✖" labels when overextended (Z-score > threshold, RSI EMA slope reversal). Re-entries: "↻" labels on wick touches during trends (with cooldown to avoid spam). Breakout Boxes: Pink upper boxes (resistance) and green lower boxes (support) around pivots. Boxes display total volume and buy/sell % breakdown. Breakout signals: "BreakUp ⯁" or "BreakDn ⯁" labels/alerts when price crosses box edges – use for momentum trades. MMB (Market Maker Build): Green crosses below bars: Building long (accumulation). Red crosses above: Building short. Green X above: Closing long (distribution). Red X below: Closing short. Watch for clusters near support/resistance for institutional activity. PVSRA Candle Coloring: Overrides bar colors: Green/lime (bull climax), red (bear climax), blue (bull rising), violet/fuchsia (bear rising), gray (normal). Vector zones (translucent boxes) highlight high-volume areas as potential S/R. CVD (Cumulative Volume Delta): Bar colors: Blue (uptrend), red (downtrend) based on CVD vs. MAs. Status table (top-right): Checkmarks for Long/Short/Test/Sideways states. Long: CVD above both MAs (bullish confirmation). Short: Below both (bearish). Test: Near clouds (potential reversal). Sideways: Within parallels (range-bound). 4. Trading Strategies Trend Following: Enter long on buy signals in green trends; short on sell in red. Exit on opposite signals or take-profits. Use forecast for expected duration. Breakouts: Trade breakups from upper boxes (long) or breakdowns from lower (short). Confirm with volume % (e.g., high buy volume in upper box suggests strong breakout). Volume Confirmation: Align with MMB builds/closes and PVSRA climaxes for high-conviction entries. Avoid trades in sideways CVD states. Filters: Use RSI EMA slope in take-profits for overbought/oversold avoidance. Higher TF CVD for broader context. Timeframes: Versatile – scalping (1m-5m with fast mode), swing (1h-4h), position (daily+). Test on historical data. Risk Management: Set stops below lower band (longs) or above upper (shorts). Size positions based on ATR. 5. Alerts and Automation Set alerts via TradingView: Right-click chart > Add Alert > Condition (e.g., "Buy Signal" or "BreakUp"). Supported alerts: Buy/Sell, Take-Profit, BreakUp/Dn, MMB crosses, Vector patterns, CVD Long/Short entries. For scripting: Use alertcondition() calls in the code for custom notifications. 6. Tips and Best Practices Asset Suitability: Best on volume-rich assets (e.g., BTC/USD, stocks). For low-volume, disable CVD/MMB or use overrides. Performance: On busy charts, reduce max counts (labels/boxes) to avoid lag. Test fast mode for real-time trading. Backtesting: Use TradingView's replay or strategy tester (convert to strategy script by adding strategy() functions). Limitations: Not a standalone system – combine with fundamentals/news. Higher TF data may delay updates. Customization: Experiment with inputs; e.g., tighten bands (lower multiplier) for volatile markets. This indicator excels in providing multi-layered confirmation, reducing false signals through volume integration. Always practice on demo accounts before live trading.
Indicador Pine Script®
por OSOM_
Golden Cross Screener [Pineify]Golden Cross Screener Pineify – Multi-Symbol Trend Detection Screener for TradingView Discover the Golden Cross Screener Pineify for TradingView: a multi-symbol, multi-timeframe indicator for crypto and other assets. Customizable Golden Cross detection, robust algorithm, and intuitive screener design for smarter portfolio trend analysis. Key Features Multi-symbol screening across major cryptocurrencies or assets – BTCUSD, ETHUSD, XRPUSD, USDT, BNB, SOLUSD, DOGEUSD, TRXUSD (fully customizable). Multi-timeframe analysis (e.g., 1m, 5m, 10m, 30m), enabling robust trend detection from scalp to swing. Customizable Moving Average settings for both Fast and Slow MA (source and length). Efficient screener table, highlighting Golden Cross events and current asset trends in one panel. Visual cues for bullish, bearish, and cross states using intuitive color-coding and labels. Flexible symbol and timeframe inputs to tailor the screener to any portfolio or watchlist. How It Works The Golden Cross Screener Pineify leverages the classic Golden Cross methodology—a bullish trend signal triggered when a shorter-term moving average crosses above a longer-term moving average. To improve robustness, you are empowered to configure both Fast MA and Slow MA periods and sources, making the detection logic applicable to any symbol, timeframe, or asset class. Internally, the script runs dedicated calculations on each chosen symbol and timeframe, generating independent signals using exponential moving averages (EMA). Using the TradingView `request.security` function, it fetches and processes price data for up to eight portfolio assets on four timeframes, displaying the detected Golden Cross, Bullish, or Bearish states in a central screener table. Trading Ideas and Insights Spot emerging bullish or bearish trends across your favorite crypto pairs or trading assets in real time. Capture prime opportunities when multiple assets align with Golden Cross signals—ideal for portfolio rebalancing or rotational strategies. Analyze trend consistency by monitoring cross events at multiple timeframes for a given asset. Swiftly identify when short-term and long-term momentum diverge—flagging potential reversals or trend initiations. The Golden Cross Screener Pineify is not just a trend signal; it’s a holistic multi-asset scanner built for traders who know the power of combining technical breadth with agile timing. How Multiple Indicators Work Together This screener stands out with its modular approach: each asset/timeframe pair is monitored in isolation, yet displayed collectively for multidimensional market insight. Each symbol’s price action is processed through independently configured EMAs—Fast and Slow—whose crossovers are analyzed for directional bias. The implementation’s real innovation is in its screener table engine: it aggregates signals, synchronizes timeframes, and color-codes market states, allowing users to see confluences, divergences, and sector trends at a glance. Combining Golden Cross detection with customizable moving averages and flexible multi-timeframe, multi-symbol scanning means users can fine-tune sensitivity, focus on specific signals, and adapt screener logic for scalping, swing trading, or investing. Unique Aspects True multi-symbol screener within the TradingView indicator framework. Full customization of screener assets, timeframes, and moving averages. Advanced, efficient use of TradingView table for clear, actionable visualization. No dependency on standard, static MA settings—adjust everything to match your strategy. Big-picture and granular trend detection in one tool, designed for both active traders and portfolio managers. How to Use Add the Golden Cross Screener Pineify to your TradingView chart. Choose up to eight symbols—crypto, stock, forex, or custom assets. Set four timeframes for screening, from lower to higher intervals. Adjust moving average sources (price, close, etc.) and period lengths for both Fast and Slow MAs to suit your trading style. Interpret table cells: clear labels and color indicate Golden Cross (trend shift), Bullish (uptrend), Bearish (downtrend) states for each symbol/timeframe. React to signal alignments—deploy or rebalance positions, increase alert sensitivity, or backtest sequence confluences. Customization The indicator’s inputs panel gives full control: Select which symbols to screen, making it perfect for any asset watchlist. Pick the desired timeframes—mix daily, hourly, or minute-based intervals. Adjust Fast and Slow MA settings: switch source type, change period length, and fine-tune detection logic as needed. Style your screener table via TradingView settings (colors, font sizes, alignment). Every element is customizable—adapt the Golden Cross Screener Pineify for your specific portfolio, trading timeframe, and strategy focus. Conclusion The Golden Cross Screener Pineify elevates multi-symbol trend detection to a new level on TradingView. By combining configurable Golden Cross logic with a powerful screener engine, it serves both precision and broad market insight—crucial for agile traders and strategic portfolio managers. Whether you’re tracking crypto pairs, stocks, forex, or a mix, this tool transforms static trend analysis into an active, multi-dimensional trading edge.
Indicador Pine Script®
por Pineify
1
Gaussian Weighted Moving Average with Forecast [CHE]Presentation for TradingView: Gaussian Weighted Moving Average with Forecast Introduction Welcome to our presentation on the "Gaussian Weighted Moving Average with Forecast" (GWMA). This script, written in Pine Script™, offers an enhanced method for analyzing and predicting price movements on TradingView. The script combines Gaussian Weighted Moving Averages and polynomial regression to provide accurate and customizable forecasts. Overview Title: Gaussian Weighted Moving Average with Forecast Author: chervolino License: Mozilla Public License 2.0 Main Features 1. Gaussian Weighted Moving Average (GWMA): - Calculates a weighted moving average using a Gaussian weighting function. - Parameters for length and standard deviation allow fine-tuning of the smoothing effect. 2. Polynomial Regression with Forecast: - Creates a model to predict future price movements. - Adjustable length and degree of polynomial regression. - Option to extrapolate predictions and visualize them. 3. Visual Representation: - Uses lines and colors to depict trend changes. - Customizable colors for upward and downward trends. Input Parameters Length: Length of the moving average (default: 50) Standard Deviation: Standard deviation for Gaussian weighting (default: 10.0) Width: Width of the plotted lines (default: 1) Colors: Customizable colors for upward and downward trends Forecast Length: Length of the forecast period (default: 20) Extrapolate Length: Length of the extrapolation (default: 50) Polynomial Degree: Degree of the polynomial regression (default: 3) Lock Forecast: Option to lock and stabilize the forecast Core Algorithms 1. Gaussian Weight Calculation: gaussian_weight(x, std_dev) => 1 / (std_dev * math.sqrt(2 * math.pi)) * math.exp(-0.5 * math.pow(x / std_dev, 2)) 2. GWMA Calculation: calculate_gwma(length, std_dev) => // Algorithm to calculate the weighted moving average 3. Initialize Lines for Polynomial Regression: initialize_lines_array(extrapolate, length) => // Initialize array lines 4. Create Design Matrix for Polynomial Regression: get_design_matrix(length, degree) => // Create the design matrix 5. Calculate and Plot Polynomial Regression: calculate_polynomial_regression(src, length, degree, extrapolate, lines_arr, lock, width, upward_color, downward_color) => // Algorithm to calculate polynomial regression and plot the forecast Combining Indicators: Originality and Usefulness The combination of Gaussian Weighted Moving Average and polynomial regression provides traders with a robust tool for trend analysis and prediction. The GWMA smooths out price data while emphasizing recent prices, making it sensitive to short-term trends. Polynomial regression, on the other hand, offers a mathematical approach to model and forecast future prices based on historical data. By integrating these two methodologies, traders can achieve a more comprehensive view of market trends and potential future movements, making the tool highly valuable for decision-making. Explanation for Users Most TradingView users are not familiar with Pine Script, so a clear description is essential for understanding how to use the script. Gaussian Weighted Moving Average (GWMA): This indicator calculates a moving average using Gaussian weights, which gives more importance to recent prices. The length and standard deviation parameters allow users to control the sensitivity and smoothness of the average. Polynomial Regression with Forecast: This feature uses polynomial regression to model the price trend and predict future movements. Users can adjust the length of the historical data used, the degree of the polynomial, and the length of the forecast. The script plots these predictions, making it easier for traders to visualize potential future price paths. Visualization of Results 1. GWMA Plotting: plot(gaussian_ma_result, title="GWMA", color=line_color, linewidth=width_input) 2. Forecast Extrapolation: plot(forecast_val, 'Extrapolation', offset=extrapolate_setting, linewidth=width_input, style=plot.style_circles) Conclusion The "Gaussian Weighted Moving Average with Forecast" script provides a powerful tool for analyzing and predicting price movements on TradingView. By combining Gaussian weighting and polynomial regression, it offers a precise and customizable method for trend analysis and forecasting. Thank you for your attention! For any questions or further information, please feel free to reach out.
Indicador Pine Script®
por chervolino
Time-based Alerts for Trading Windows🌟 Time-based Alerts for Trading Windows 🌐📈 This is a re-uploaded script as the previous one got hidden. This Time-based Alerts for Trading Windows script is a highly customizable and reliable tool designed to assist traders in managing automated strategies or manually monitoring specific market conditions. Inspired by CrossTrade's Time-based Alert, this script is tailored for those who rely on precise time windows to trigger actions, such as sending webhook signals or managing Expert Advisors (EAs). Whether you are a scalper, day trader, or algorithmic trader, this script empowers you to stay on top of your trades with fully customizable time-based alerts. 🛠️ Customizable Time Alerts This indicator allows you to create up to 12 unique time windows by specifying the exact hour and minute for each alert. Each time window corresponds to an individual alert condition, making it perfect for managing trades during specific market sessions or key time periods. For example: Alert 1 can be set at 9:30 AM (market open). Alert 2 can be set at 3:55 PM (just before market close). Each alert can be toggled on or off in the indicator settings, allowing you to manage alerts without having to reconfigure your script. You can adjust the colours to fit any colour scheme you like! 🕒 Odd and Even Time Alerts The script comes with three built-in alert type categories: Odd Alerts (marked with a green triangle on the chart): These correspond to odd-numbered inputs like Alert 1, Alert 3, Alert 5, and so on. Even Alerts (marked with a red triangle on the chart): These correspond to even-numbered inputs like Alert 2, Alert 4, Alert 6, and so on. You can also customize all 12 alerts individually to include a custom alert message These alerts serve as a convenient way to differentiate between multiple trading strategies or market conditions. You can customize alert messages for odd and even alerts directly from TradingView’s alert panel. 🔗 Webhook Integration for Automation This script is fully compatible with webhook-based automation. By configuring your alerts in TradingView, you can send signals to trading bots, EAs, or any third-party system. For example, you can: Turn off an EA at a specific time (e.g., 3:55 PM EST). Send buy/sell signals to your bot during predefined trading windows. Simply use TradingView’s alert message editor to format webhook payloads for your automation system. 🌐 Timezone Flexibility Trading happens across multiple time zones, and this script accounts for that. You can toggle between: Eastern Time (New York): Ideal for most US-based markets. Central Time (Exchange): Useful for futures and commodities traders. This ensures your alerts are always in sync with your preferred time zone, eliminating confusion. 🎨 Visual Indicators The script plots visual markers directly on your chart to indicate active alerts: Up Facing Triangles: Represent odd-numbered alerts, providing a quick reference for these time windows. Down Facing Triangles: Represent even-numbered alerts, helping you track different strategies or conditions. These visual markers make it easy to see when alerts are triggered, even at a glance. 📈 Practical Use Case Let’s say you’re trading the USTEC index on a 1-minute chart. You want to: Turn off your trading bot at 16:55 EST to avoid after-market volatility. Trigger a re-entry signal at 17:30 EST to capture moves during the Asian session. Visually monitor these actions on your chart for easy reference. This script makes it possible with precision alerts and webhook integration. Simply configure the time windows in the settings and set up your alerts in TradingView. 🚨 How to Set Up Alerts Enable or Disable Alerts: Use the script’s settings to toggle specific alerts on or off as needed. Set Custom Time Windows: Define the hour and minute for each alert in the settings panel. Create Alerts in TradingView: Go to the TradingView alert panel. Select the condition (e.g., "Odd Time-based Alert (Green)" or "Even Time-based Alert (Red)"). Customize the alert message for webhook integration or personal notification. Choose the trigger type: Once Per Bar or Once Per Bar Close to keep the alert active. Integrate with Webhooks: Use the alert message field to format payloads for automation systems like MT4, MT5, or third-party bots. 📋 Key Notes Alerts can trigger indefinitely if set to "Once Per Bar" or "Once Per Bar Close". Always ensure the expiration date is set far in the future to avoid unexpected alert deactivation. Test webhook messages and alert configurations thoroughly before using them in live trading. This script is a powerful addition to your trading toolbox, offering precision, flexibility, and automation capabilities. Whether you’re turning off an EA, managing trades during market sessions, or automating strategies via webhooks, this script is here to support you. Start using the Time-based Alerts for Trading Windows today and trade with confidence! 🚀✨
Indicador Pine Script®
por xhmxdir
2
Multi-Symbol Volume Increase Screener [CHE] MultiSymbol Volume Increase Screener Designed for TradingView Presented by Chervolino Introduction Welcome to the presentation of the MultiSymbol Volume Increase Screener—a powerful tool designed to enhance your trading strategy on TradingView. Developed at the request of jscott143, this screener provides traders with realtime insights into significant volume movements across multiple symbols, enabling more informed and timely trading decisions. Purpose and Objectives Identify HighVolume Opportunities: Detect symbols experiencing a significant increase in volume compared to their historical average. Monitor Multiple Symbols Simultaneously: Efficiently track up to five symbols in one view. RealTime Alerts: Receive instant notifications when predefined volume conditions are met. Comprehensive Overview: Display volume data and percentage increases in an organized table for easy analysis. Key Features 1. MultiSymbol Monitoring Track up to five different symbols simultaneously. Customize the list of symbols based on your trading portfolio. 2. Volume Analysis Compare current candle volume against the average volume over a specified period. Calculate and display the percentage increase in volume. 3. RealTime Alerts Set a volume increase multiplier (e.g., 1.5x) to trigger alerts. Receive alerts via email, popup, or SMS when conditions are met. 4. UserFriendly Table Display View symbols, their current volume, and percentage increase in a clear, concise table. Colorcoded indicators highlight significant volume changes. 5. Customizable Parameters Adjust the average volume period to suit different trading strategies. Set your preferred volume increase multiplier for alerts. How It Works 1. User Inputs: Symbols Selection: Choose up to five symbols you wish to monitor. Average Volume Period: Define the number of bars over which the average volume is calculated (default is 20). Volume Increase Multiplier: Set the threshold for volume increase to trigger alerts (default is 1.5x). 2. Volume Calculation: The screener fetches the current volume and calculates the simple moving average (SMA) of volume over the defined period for each symbol. It then determines if the current volume exceeds the average volume by the specified multiplier. 3. Data Display: A table is generated on the chart displaying each symbol, its current volume, and the percentage increase. Green text indicates that the volume increase condition has been met. 4. Alert Generation: When a symbol's current volume surpasses the average volume by the set multiplier, an alert is triggered. Alerts are customizable and can be set to notify you through various channels. Benefits Enhanced DecisionMaking: Quickly identify highvolume trading opportunities across multiple assets. Time Efficiency: Monitor several symbols without the need to switch between charts. Proactive Trading: Stay informed with realtime alerts, allowing for timely trading actions. Customization: Tailor the screener settings to align with your unique trading strategies and preferences. Setup Instructions 1. Add the Screener to TradingView: Navigate to TradingView and open the Pine Editor. Add the MultiSymbol Volume Increase Screener indicator to your chart. Save and apply the indicator. 2. Configure User Inputs: Select up to five symbols you wish to monitor in the input fields "Symbol 1" to "Symbol 5". Adjust the "Average Volume Period" and "Volume Increase Multiplier" as needed. 3. Set Up Alerts: Click on the Alarm icon (🔔) in the TradingView toolbar. In the "Condition" dropdown, select the "MultiSymbol Volume Increase Screener". Choose the specific alert condition for each symbol (e.g., "Volume Increase Alert for Symbol 1"). Configure the alert actions (e.g., email, popup, SMS) and click "Create". Repeat this process for each symbol you wish to monitor. Visual Demonstration Table Display Example: | Symbol | Volume | % Increase | | AAPL | 150,000 | 50.00% | | MSFT | 120,000 | 20.00% | | GOOGL | 180,000 | 80.00% | | AMZN | 130,000 | 30.00% | | TSLA | 160,000 | 60.00% | Green Text: Indicates that the volume increase condition has been met for that symbol. Alert Notification Example: ``` 🚀 Symbol 1 shows a volume increase! ``` Note: Replace "Symbol 1" with the actual symbol as per your configuration. Customization Options Increase the Number of Symbols: While the current screener monitors five symbols, it can be extended to monitor more by adding additional input fields and corresponding calculations. However, be mindful of TradingView's Pine Script limitations and potential performance impacts. Adjust Volume Period and Multiplier: Tailor the "Average Volume Period" and "Volume Increase Multiplier" to align with your specific trading strategies and market conditions. Enhance Table Information: Incorporate additional data points such as current price, price change percentage, or other technical indicators to enrich your analysis. Benefits of Using the Screener Efficiency: Saves time by providing a consolidated view of multiple symbols' volume activity. Proactive Trading: Enables you to act swiftly on significant volume movements, which often precede price changes. DataDriven Decisions: Facilitates informed trading decisions based on realtime volume analysis. Customization: Offers flexibility to adapt the screener to various trading styles and preferences. Conclusion The MultiSymbol Volume Increase Screener is an invaluable tool for traders looking to capitalize on significant volume movements across multiple assets. Developed at the request of jscott143, this screener integrates seamlessly with TradingView, providing realtime insights and alerts to enhance your trading strategy. Q&A Feel free to ask any questions or request further customization to better suit your trading needs. Contact Information Created for: jscott143 Thank you for your attention!
Indicador Pine Script®
por chervolino
2
Entropy Indicator [CHE]Entropy in Technical Analysis Using TradingView Slide 1: Title Entropy in Technical Analysis Using TradingView Introduction to the concept of entropy Application in technical analysis Understanding the use of entropy as a market indicator Slide 2: What is Entropy? Definition and Origins: Entropy originates from thermodynamics and information theory. In thermodynamics, entropy describes the degree of disorder or randomness in a system. In information theory, entropy quantifies the uncertainty or unpredictability of information content. Mathematical Definition: Entropy measures the unpredictability of a system. The basic idea: Higher entropy means more randomness; lower entropy indicates more predictability. Formula: Entropy is calculated using the probabilities of different outcomes, based on how frequently certain price levels are reached. Slide 3: Entropy in Financial Markets Why Entropy Matters: Market Uncertainty: Entropy can measure the level of uncertainty or randomness in financial markets. Volatility Indicator: High entropy may indicate a volatile, unpredictable market, while low entropy suggests a stable, predictable market. Applications in Trading: Trend Analysis: Identifying periods of high entropy can help detect potential trend reversals or periods of market consolidation. Risk Management: Using entropy to adjust trading strategies based on the perceived level of market uncertainty. Slide 4: How Entropy is Calculated in Trading Step-by-Step Process: Data Collection: The first step is to gather the relevant price data over a specific period, such as 200 closing prices. This data forms the basis of the entropy calculation, representing the market's recent behavior. Defining Bins: The price range within the collected data is divided into a fixed number of bins or intervals. These bins represent different price levels. For instance, if you choose 5 bins, the price range will be split into 5 equal segments. Assigning Data to Bins: The next step is to assign each price within the data to one of these bins. This step helps in understanding how frequently the price falls within specific ranges, indicating the distribution of prices over the period. Calculating Probabilities: After assigning the data to bins, calculate the probability for each bin by dividing the number of data points in each bin by the total number of data points. These probabilities reflect how often prices fall into each range. Computing Entropy: Entropy is then calculated based on the distribution of these probabilities. The formula involves summing the products of each probability and the logarithm of that probability. This calculation tells us how evenly the prices are distributed across the bins. Interpretation for Traders: High entropy indicates that the prices are spread evenly across the bins, suggesting a highly random and uncertain market. Low entropy, on the other hand, shows that prices are concentrated in fewer bins, indicating more predictable and stable market conditions. Slide 5: Implementing and Using Entropy in TradingView How It Works in TradingView: Data Period: Typically, entropy is calculated over a specific number of bars (e.g., 200), representing recent market activity. The longer the period, the broader the market behavior considered. Bin Division: The price range during this period is divided into a set number of bins. These bins help to categorize price levels and assess how spread out the market’s activity is. Entropy Calculation: The indicator evaluates the spread of prices across these bins to determine the level of market disorder. This is visualized on the chart as an entropy line, helping traders to see fluctuations in market uncertainty. Practical Application: As a trader, you can use the entropy indicator to gauge when the market is in a state of high uncertainty (high entropy) or low uncertainty (low entropy). This insight can inform decisions on when to take riskier trades or when to stay conservative. Slide 6: Interpreting the Entropy Indicator High Entropy: Characteristics: Indicates a high level of market disorder, where price movements are more random and less predictable. Suggests volatile or unpredictable market conditions. Implications for Traders: During periods of high entropy, traders might need to exercise greater caution, reduce position sizes, or employ more defensive trading strategies. High entropy could signal potential trend reversals or significant market movements, making it a critical period to watch closely. Low Entropy: Characteristics: Suggests that the market is more predictable, with prices showing less variation and more consistent trends. Typically associated with trending markets where price movement is more orderly. Implications for Traders: In a low entropy environment, traders might favor trend-following strategies, as the market shows clearer directional movement. Low entropy can also suggest more reliable trading opportunities, where the risk of sudden, unpredictable price swings is reduced. Slide 7: Use Cases and Strategy Integration Practical Use Cases: Trend Reversals: Use entropy to identify potential points where a market may shift from trending to consolidating, or vice versa. A sudden increase in entropy might indicate the end of a stable trend and the start of a more volatile period. Volatility Detection: Detect periods of increased market volatility by observing spikes in entropy. These periods can be critical for adjusting your trading strategy, either by scaling back or by taking advantage of the increased movement. Strategy Integration: Risk Management: Incorporate entropy into your risk management strategy by adjusting position sizes, leverage, or stop-loss levels based on the current entropy reading. In high entropy conditions, it might be wise to take smaller, more conservative positions. Combining Indicators: Entropy can be effectively combined with other indicators, such as moving averages or RSI, to provide a more comprehensive view of market conditions. For example, using entropy alongside a trend indicator can help confirm whether a trend is strong and likely to continue, or if it's weakening and at risk of reversal. Slide 8: Advantages and Limitations of Entropy Advantages: Unique Perspective: Entropy offers a unique way to measure market uncertainty that complements traditional volatility measures. It provides traders with insights into the randomness and predictability of price movements, which can be crucial for strategic decision-making. Dynamic Analysis: Entropy adapts to changes in market conditions, offering real-time insights into the level of market disorder. This makes it a valuable tool for traders who need to stay responsive to the market's evolving dynamics. Limitations: Complex Interpretation: Unlike more straightforward indicators, entropy requires a deeper understanding to interpret correctly. Traders need to be familiar with how entropy levels relate to market behavior and what actions to take in response. Sensitivity to Parameters: The results can vary significantly depending on the number of bins and the data period chosen, requiring careful parameter selection. Traders may need to experiment with different settings to find the most informative configuration for their specific market or trading style. Slide 9: Conclusion Key Takeaways: Entropy as a Tool: Provides a unique perspective on market dynamics by measuring unpredictability. This can help traders better understand the nature of market conditions and tailor their strategies accordingly. Practical Application: Can enhance trading strategies, particularly in volatile markets, by helping to identify periods of high uncertainty and adjusting risk management practices. Further Exploration: Experimenting with different bin sizes and periods can help fine-tune the entropy indicator for specific markets and trading strategies. Traders are encouraged to combine entropy with other indicators to build a more robust trading framework. Final Thoughts: Entropy is a powerful concept that, when applied correctly, can offer valuable insights into market behavior. It should be used in conjunction with other tools and indicators to make informed trading decisions, particularly in markets where unpredictability plays a significant role. This presentation provides a comprehensive overview of entropy, its significance in financial markets, and how it can be practically applied as an indicator in TradingView. The focus is on how traders can use entropy to enhance their trading strategies and improve their understanding of market conditions. Best regards Chervolino
Indicador Pine Script®
por chervolino
4
MarkdownUtilsLibrary "MarkdownUtils" This library shows all of CommonMark's formatting elements that are currently (2024-03-30) available in Pine Script® and gives some hints on how to use them. The documentation will be in the tooltip of each of the following functions. It is also logged into Pine Logs by default if it is called. We can disable the logging by setting `pLog = false`. mediumMathematicalSpace()   Medium mathematical space that can be used in e.g. the library names like `Markdown Utils`.   Returns: The medium mathematical space character U+205F between those double quotes " ". zeroWidthSpace()   Zero-width space.   Returns: The zero-width character ​U+200B between those double quotes "​". stableSpace(pCount)   Consecutive space characters in Pine Script® are replaced by a single space character on output. Therefore we require a "stable" space to properly indent text e.g. in Pine Logs. To use it in code blocks of a description like this one, we have to copy the 2(!) characters between the following reverse brackets instead: # >​ < Those are the zero-width character ​U+200B and a space. Of course, this can also be used within a text to add some extra spaces.   Parameters:      pCount (simple int)   Returns: A zero-width space combined with a space character. headers(pLog)   Headers ``` # H1 ## H2 ### H3 #### H4 ##### H5 ###### H6 ``` ​ *results in* ​ # H1 ## H2 ### H3 #### H4 ##### H5 ###### H6 ​ *Best practices*: Add blank line before and after each header.   Parameters:      pLog (bool) paragrahps(pLog)   Paragraphs ``` First paragraph Second paragraph ``` ​ *results in* ​ First paragraph Second paragraph ​   Parameters:      pLog (bool) lineBreaks(pLog)   Line breaks ``` First row Second row ``` ​ *results in* ​ First row\ Second row   Parameters:      pLog (bool) emphasis(pLog)   Emphasis With surrounding `*` and `~` we can emphasize text as follows. All emphasis can be arbitrarily combined. ``` *Italics*, **Bold**, ***Bold italics***, ~~Scratch~~ ``` ​ *results in* ​ *Italics*, **Bold**, ***Bold italics***, ~~Scratch~~ ​   Parameters:      pLog (bool) blockquotes(pLog)   Blockquotes Lines starting with at least one `>` followed by a space and text build block quotes. ``` Text before blockquotes. > 1st main blockquote > > 1st main blockquote > >> 1st 1-nested blockquote > >>> 1st 2-nested blockquote > >>>> 1st 3-nested blockquote > >>>>> 1st 4-nested blockquote > >>>>>> 1st 5-nested blockquote > >>>>>>> 1st 6-nested blockquote > >>>>>>>> 1st 7-nested blockquote > > 2nd main blockquote, 1st paragraph, 1st row\ > 2nd main blockquote, 1st paragraph, 2nd row > > 2nd main blockquote, 2nd paragraph, 1st row\ > 2nd main blockquote, 2nd paragraph, 2nd row > >> 2nd nested blockquote, 1st paragraph, 1st row\ >> 2nd nested blockquote, 1st paragraph, 2nd row > >> 2nd nested blockquote, 2nd paragraph, 1st row\ >> 2nd nested blockquote, 2nd paragraph, 2nd row Text after blockquotes. ``` ​ *results in* ​ Text before blockquotes. > 1st main blockquote > >> 1st 1-nested blockquote > >>> 1st 2-nested blockquote > >>>> 1st 3-nested blockquote > >>>>> 1st 4-nested blockquote > >>>>>> 1st 5-nested blockquote > >>>>>>> 1st 6-nested blockquote > >>>>>>>> 1st 7-nested blockquote > > 2nd main blockquote, 1st paragraph, 1st row\ > 2nd main blockquote, 1st paragraph, 2nd row > > 2nd main blockquote, 2nd paragraph, 1st row\ > 2nd main blockquote, 2nd paragraph, 2nd row > >> 2nd nested blockquote, 1st paragraph, 1st row\ >> 2nd nested blockquote, 1st paragraph, 2nd row > >> 2nd nested blockquote, 2nd paragraph, 1st row\ >> 2nd nested blockquote, 2nd paragraph, 2nd row Text after blockquotes. ​ *Best practices*: Add blank line before and after each (nested) blockquote.   Parameters:      pLog (bool) lists(pLog)   Paragraphs #### Ordered lists The first line starting with a number combined with a delimiter `.` or `)` starts an ordered list. The list's numbering starts with the given number. All following lines that also start with whatever number and the same delimiter add items to the list. #### Unordered lists A line starting with a `-`, `*` or `+` becomes an unordered list item. All consecutive items with the same start symbol build a separate list. Therefore every list can only have a single symbol. #### General information To start a new list either use the other delimiter or add some non-list text between. List items in Pine Script® allow line breaks but cannot have paragraphs or blockquotes. Lists Pine Script® cannot be nested. ``` 1) 1st list, 1st item, 1st row\ ​ 1st list, 1st item, 2nd row 1) 1st list, 2nd item, 1st row\ ​ 1st list, 2nd item, 2nd row 1) 1st list, 2nd item, 1st row\ ​ 1st list, 2nd item, 2nd row 1. 2nd list, 1st item, 1st row\ ​ 2nd list, 1st item, 2nd row Intermediary text. 1. 3rd list Intermediary text (sorry, unfortunately without proper spacing). 8. 4th list, 8th item 8. 4th list, 9th item Intermediary text. - 1st list, 1st item - 1st list, 2nd item * 2nd list, 1st item * 2nd list, 2nd item Intermediary text. + 3rd list, 1st item + 3rd list, 2nd item ``` ​ *results in* ​ 1) 1st list, 1st item, 1st row\ 1st list, 1st item, 2nd row 1) 1st list, 2nd item, 1st row\ 1st list, 2nd item, 2nd row 1) 1st list, 2nd item, 1st row\ 1st list, 2nd item, 2nd row 1. 2nd list, 1st item, 1st row\ 2nd list, 1st item, 2nd row Intermediary text. 1. 3rd list Intermediary text (sorry, unfortunately without proper spacing). 8. 4th list, 8th item 8. 4th list, 9th item Intermediary text. - 1st list, 1st item - 1st list, 2nd item * 2nd list, 1st item * 2nd list, 2nd item Intermediary text. + 3rd list, 1st item + 3rd list, 2nd item ​   Parameters:      pLog (bool) code(pLog)   ### Code `` `Inline code` `` is formatted like this. To write above line we wrote `` `​` `Inline code` `​` ``. And to write that line we added another pair of `` `​` `` around that code and a zero-width space of function between the inner `` `​` ``. ### Code blocks can be formatted like that: ~~~ ``` export method codeBlock() => ​ ​ ​ ​ "code block" ``` ~~~ Or like that: ``` ~~~ export method codeBlock() => ​ ​ ​ ​ "code block" ~~~ ``` To write `​```​` within a code block we can either surround it with `~~~`. Or we "escape" those ​​`​```​` by only the zero-width space of function (stableSpace) in between. To escape \` within a text we use `` \` ``. ​   Parameters:      pLog (bool) horizontalRules(pLog)   Horizontal rules At least three connected `*`, `-` or `_` in a separate line build a horizontal rule. ``` Intermediary text. --- Intermediary text. *** Intermediary text. ___ Intermediary text. ``` ​ *results in* ​ Intermediary text. --- Intermediary text. *** Intermediary text. ___ Intermediary text. ​ *Best practices*: Add blank line before and after each horizontal rule.   Parameters:      pLog (bool) tables(pLog)   Tables A table consists of a single header line with columns separated by `|` and followed by a row of alignment indicators for either left (`---`, `:---`), centered (`:---:`) and right (`---:`) A table can contain several rows of data. The table can be written as follows but hasn't to be formatte like that. By adding (stableSpace) on the correct side of the header we could even adjust the spacing if we don't like it as it is. Only around the column separator we should only use a usual space on each side. ``` Header 1​ ​ ​ ​ ​ ​ ​ ​​ | Header 1​ ​​ |​ ​ Header 2​​​ ​ |​ ​ Header 3 --- | :--- | :----: | ---: Left (Default) | Left | Centered | Right Left (Default) | Left | Centered | Right ``` *results in* ​ Header 1​ ​ ​ ​ ​ ​ ​ ​​ | Header 1​ ​​ |​ ​ Header 2​​​ ​ |​ ​ Header 3 --- | :--- | :----: | ---: Left (Default) | Left | Centered | Right Left (Default) | Left | Centered | Right ​   Parameters:      pLog (bool) links(pLog)   ## Links. ### Inline-style ` (Here should be the link to the TradingView homepage)`\ results in (Here should be the link to the TradingView homepage) ` (Here should be the link to the TradingView homepage "Trading View tooltip")`\ results in (Here should be the link to the TradingView homepage "Trading View tooltip") ### Reference-style One can also collect all links e.g. at the end of a description and use a reference to that as follows. ` `\ results in . ` `\ results in . ` `\ results in . ` (../tradingview/scripts/readme)`\ results in (../tradingview/scripts/readme). ### URLs and email URLs are also identified by the protocol identifier, email addresses by `@`. They can also be surrounded by `<` and `>`. Input | Result --- | --- `Here should be the link to the TradingView homepage` | Here should be the link to the TradingView homepage `` | `support@tradingview.com` | support@tradingview.com `` | ## Images We can display gif, jp(e)g and png files in our documentation, if we add `!` before a link. ### Inline-style: `! (Here should be the link to the favicon of the TradingView homepage "Trading View icon")` results in ! (Here should be the link to the favicon of the TradingView homepage "Trading View icon")\ ### Reference-style: `! ` results in ! ## References for reference-style links Even though only the formatted references are visible here in the output, this text is also followed by the following references with links in the style ` : Referenced link` ``` : Here should be the link to the TradingView homepage "Trading view text-reference tooltip" : Here should be the link to the TradingView homepage "Trading view number-reference tooltip" : Here should be the link to the TradingView homepage "Trading view self-reference tooltip" : Here should be the link to the favicon of the TradingView homepage "Trading View icon (reference)" ``` : Here should be the link to the TradingView homepage "Trading view text-reference tooltip" : Here should be the link to the TradingView homepage "Trading view number-reference tooltip" : Here should be the link to the TradingView homepage "Trading view self-reference tooltip" : Here should be the link to the favicon of the TradingView homepage "Trading View icon (reference)"   Parameters:      pLog (bool) taskLists(pLog)   Task lists. Other Markdown implementations can also display task lists for list items like `- ` respective `- `. This can only be simulated by inline code `` ´ ` ``. Make sure to either add a line-break `\` at the end of the line or a new paragraph by a blank line. ### Task lists ` ` Finish library ` ` Finish library   Parameters:      pLog (bool) escapeMd(pLog)   Escaping Markdown syntax To write and display Markdown syntax in regular text, we have to escape it. This can be done by adding `\` before the Markdown syntax. If the Markdown syntax consists of more than one character in some cases also the character of function can be helpful if a command consists of more than one character if it is placed between the separate characters of the command.   Parameters:      pLog (bool) test()   Calls all functions of above script.
Biblioteca Pine Script®
por StepBuyStep
Supertrend Advance Pullback StrategyHandbook for the Supertrend Advance Strategy 1. Introduction Purpose of the Handbook: The main purpose of this handbook is to serve as a comprehensive guide for traders and investors who are looking to explore and harness the potential of the Supertrend Advance Strategy. In the rapidly changing financial market, having the right tools and strategies at one's disposal is crucial. Whether you're a beginner hoping to dive into the world of trading or a seasoned investor aiming to optimize and diversify your portfolio, this handbook offers the insights and methodologies you need. By the end of this guide, readers should have a clear understanding of how the Supertrend Advance Strategy works, its benefits, potential pitfalls, and practical application in various trading scenarios. Overview of the Supertrend Advance Pullback Strategy: At its core, the Supertrend Advance Strategy is an evolution of the popular Supertrend Indicator. Designed to generate buy and sell signals in trending markets, the Supertrend Indicator has been a favorite tool for many traders around the world. The Advance Strategy, however, builds upon this foundation by introducing enhanced mechanisms, filters, and methodologies to increase precision and reduce false signals. 1. Basic Concept: The Supertrend Advance Strategy relies on a combination of price action and volatility to determine the potential trend direction. By assessing the average true range (ATR) in conjunction with specific price points, this strategy aims to highlight the potential starting and ending points of market trends. 2. Methodology: Unlike the traditional Supertrend Indicator, which primarily focuses on closing prices and ATR, the Advance Strategy integrates other critical market variables, such as volume, momentum oscillators, and perhaps even fundamental data, to validate its signals. This multidimensional approach ensures that the generated signals are more reliable and are less prone to market noise. 3. Benefits: One of the main benefits of the Supertrend Advance Strategy is its ability to filter out false breakouts and minor price fluctuations, which can often lead to premature exits or entries in the market. By waiting for a confluence of factors to align, traders using this advanced strategy can increase their chances of entering or exiting trades at optimal points. 4. Practical Applications: The Supertrend Advance Strategy can be applied across various timeframes, from intraday trading to swing trading and even long-term investment scenarios. Furthermore, its flexible nature allows it to be tailored to different asset classes, be it stocks, commodities, forex, or cryptocurrencies. In the subsequent sections of this handbook, we will delve deeper into the intricacies of this strategy, offering step-by-step guidelines on its application, case studies, and tips for maximizing its efficacy in the volatile world of trading. As you journey through this handbook, we encourage you to approach the Supertrend Advance Strategy with an open mind, testing and tweaking it as per your personal trading style and risk appetite. The ultimate goal is not just to provide you with a new tool but to empower you with a holistic strategy that can enhance your trading endeavors. 2. Getting Started Navigating the financial markets can be a daunting task without the right tools. This section is dedicated to helping you set up the Supertrend Advance Strategy on one of the most popular charting platforms, TradingView. By following the steps below, you'll be able to integrate this strategy into your charts and start leveraging its insights in no time. Setting up on TradingView: TradingView is a web-based platform that offers a wide range of charting tools, social networking, and market data. Before you can apply the Supertrend Advance Strategy, you'll first need a TradingView account. If you haven't set one up yet, here's how: 1. Account Creation: • Visit TradingView's official website. • Click on the "Join for free" or "Sign up" button. • Follow the registration process, providing the necessary details and setting up your login credentials. 2. Navigating the Dashboard: • Once logged in, you'll be taken to your dashboard. Here, you'll see a variety of tools, including watchlists, alerts, and the main charting window. • To begin charting, type in the name or ticker of the asset you're interested in the search bar at the top. 3. Configuring Chart Settings: • Before integrating the Supertrend Advance Strategy, familiarize yourself with the chart settings. This can be accessed by clicking the 'gear' icon on the top right of the chart window. • Adjust the chart type, time intervals, and other display settings to your preference. Integrating the Strategy into a Chart: Now that you're set up on TradingView, it's time to integrate the Supertrend Advance Strategy. 1. Accessing the Pine Script Editor: • Located at the top-center of your screen, you'll find the "Pine Editor" tab. Click on it. • This is where custom strategies and indicators are scripted or imported. 2. Loading the Supertrend Advance Strategy Script: • Depending on whether you have the script or need to find it, there are two paths: • If you have the script: Copy the Supertrend Advance Strategy script, and then paste it into the Pine Editor. • If searching for the script: Click on the “Indicators” icon (looks like a flame) at the top of your screen, and then type “Supertrend Advance Strategy” in the search bar. If available, it will show up in the list. Simply click to add it to your chart. 3. Applying the Strategy: • After pasting or selecting the Supertrend Advance Strategy in the Pine Editor, click on the “Add to Chart” button located at the top of the editor. This will overlay the strategy onto your main chart window. 4. Configuring Strategy Settings: • Once the strategy is on your chart, you'll notice a small settings ('gear') icon next to its name in the top-left of the chart window. Click on this to access settings. • Here, you can adjust various parameters of the Supertrend Advance Strategy to better fit your trading style or the specific asset you're analyzing. 5. Interpreting Signals: • With the strategy applied, you'll now see buy/sell signals represented on your chart. Take time to familiarize yourself with how these look and behave over various timeframes and market conditions. 3. Strategy Overview What is the Supertrend Advance Strategy? The Supertrend Advance Strategy is a refined version of the classic Supertrend Indicator, which was developed to aid traders in spotting market trends. The strategy utilizes a combination of data points, including average true range (ATR) and price momentum, to generate buy and sell signals. In essence, the Supertrend Advance Strategy can be visualized as a line that moves with the price. When the price is above the Supertrend line, it indicates an uptrend and suggests a potential buy position. Conversely, when the price is below the Supertrend line, it hints at a downtrend, suggesting a potential selling point. Strategy Goals and Objectives: 1. Trend Identification: At the core of the Supertrend Advance Strategy is the goal to efficiently and consistently identify prevailing market trends. By recognizing these trends, traders can position themselves to capitalize on price movements in their favor. 2. Reducing Noise: Financial markets are often inundated with 'noise' - short-term price fluctuations that can mislead traders. The Supertrend Advance Strategy aims to filter out this noise, allowing for clearer decision-making. 3. Enhancing Risk Management: With clear buy and sell signals, traders can set more precise stop-loss and take-profit points. This leads to better risk management and potentially improved profitability. 4. Versatility: While primarily used for trend identification, the strategy can be integrated with other technical tools and indicators to create a comprehensive trading system. Type of Assets/Markets to Apply the Strategy: 1. Equities: The Supertrend Advance Strategy is highly popular among stock traders. Its ability to capture long-term trends makes it particularly useful for those trading individual stocks or equity indices. 2. Forex: Given the 24-hour nature of the Forex market and its propensity for trends, the Supertrend Advance Strategy is a valuable tool for currency traders. 3. Commodities: Whether it's gold, oil, or agricultural products, commodities often move in extended trends. The strategy can help in identifying and capitalizing on these movements. 4. Cryptocurrencies: The volatile nature of cryptocurrencies means they can have pronounced trends. The Supertrend Advance Strategy can aid crypto traders in navigating these often tumultuous waters. 5. Futures & Options: Traders and investors in derivative markets can utilize the strategy to make more informed decisions about contract entries and exits. It's important to note that while the Supertrend Advance Strategy can be applied across various assets and markets, its effectiveness might vary based on market conditions, timeframe, and the specific characteristics of the asset in question. As always, it's recommended to use the strategy in conjunction with other analytical tools and to backtest its effectiveness in specific scenarios before committing to trades. 4. Input Settings Understanding and correctly configuring input settings is crucial for optimizing the Supertrend Advance Strategy for any specific market or asset. These settings, when tweaked correctly, can drastically impact the strategy's performance. Grouping Inputs: Before diving into individual input settings, it's important to group similar inputs. Grouping can simplify the user interface, making it easier to adjust settings related to a specific function or indicator. Strategy Choice: This input allows traders to select from various strategies that incorporate the Supertrend indicator. Options might include "Supertrend with RSI," "Supertrend with MACD," etc. By choosing a strategy, the associated input settings for that strategy become available. Supertrend Settings: 1. Multiplier: Typically, a default value of 3 is used. This multiplier is used in the ATR calculation. Increasing it makes the Supertrend line further from prices, while decreasing it brings the line closer. 2. Period: The number of bars used in the ATR calculation. A common default is 7. EMA Settings (Exponential Moving Average): 1. Period: Defines the number of previous bars used to calculate the EMA. Common periods are 9, 21, 50, and 200. 2. Source: Allows traders to choose which price (Open, Close, High, Low) to use in the EMA calculation. RSI Settings (Relative Strength Index): 1. Length: Determines how many periods are used for RSI calculation. The standard setting is 14. 2. Overbought Level: The threshold at which the asset is considered overbought, typically set at 70. 3. Oversold Level: The threshold at which the asset is considered oversold, often at 30. MACD Settings (Moving Average Convergence Divergence): 1. Short Period: The shorter EMA, usually set to 12. 2. Long Period: The longer EMA, commonly set to 26. 3. Signal Period: Defines the EMA of the MACD line, typically set at 9. CCI Settings (Commodity Channel Index): 1. Period: The number of bars used in the CCI calculation, often set to 20. 2. Overbought Level: Typically set at +100, denoting overbought conditions. 3. Oversold Level: Usually set at -100, indicating oversold conditions. SL/TP Settings (Stop Loss/Take Profit): 1. SL Multiplier: Defines the multiplier for the average true range (ATR) to set the stop loss. 2. TP Multiplier: Defines the multiplier for the average true range (ATR) to set the take profit. Filtering Conditions: This section allows traders to set conditions to filter out certain signals. For example, one might only want to take buy signals when the RSI is below 30, ensuring they buy during oversold conditions. Trade Direction and Backtest Period: 1. Trade Direction: Allows traders to specify whether they want to take long trades, short trades, or both. 2. Backtest Period: Specifies the time range for backtesting the strategy. Traders can choose from options like 'Last 6 months,' 'Last 1 year,' etc. It's essential to remember that while default settings are provided for many of these tools, optimal settings can vary based on the market, timeframe, and trading style. Always backtest new settings on historical data to gauge their potential efficacy. 5. Understanding Strategy Conditions Developing an understanding of the conditions set within a trading strategy is essential for traders to maximize its potential. Here, we delve deep into the logic behind these conditions, using the Supertrend Advance Strategy as our focal point. Basic Logic Behind Conditions: Every strategy is built around a set of conditions that provide buy or sell signals. The conditions are based on mathematical or statistical methods and are rooted in the study of historical price data. The fundamental idea is to recognize patterns or behaviors that have been profitable in the past and might be profitable in the future. Buy and Sell Conditions: 1. Buy Conditions: Usually formulated around bullish signals or indicators suggesting upward price momentum. 2. Sell Conditions: Centered on bearish signals or indicators indicating downward price momentum. Simple Strategy: The simple strategy could involve using just the Supertrend indicator. Here: • Buy: When price closes above the Supertrend line. • Sell: When price closes below the Supertrend line. Pullback Strategy: This strategy capitalizes on price retracements: • Buy: When the price retraces to the Supertrend line after a bullish signal and is supported by another bullish indicator. • Sell: When the price retraces to the Supertrend line after a bearish signal and is confirmed by another bearish indicator. Indicators Used: EMA (Exponential Moving Average): • Logic: EMA gives more weight to recent prices, making it more responsive to current price movements. A shorter-period EMA crossing above a longer-period EMA can be a bullish sign, while the opposite is bearish. RSI (Relative Strength Index): • Logic: RSI measures the magnitude of recent price changes to analyze overbought or oversold conditions. Values above 70 are typically considered overbought, and values below 30 are considered oversold. MACD (Moving Average Convergence Divergence): • Logic: MACD assesses the relationship between two EMAs of a security’s price. The MACD line crossing above the signal line can be a bullish signal, while crossing below can be bearish. CCI (Commodity Channel Index): • Logic: CCI compares a security's average price change with its average price variation. A CCI value above +100 may mean the price is overbought, while below -100 might signify an oversold condition. And others... As the strategy expands or contracts, more indicators might be added or removed. The crucial point is to understand the core logic behind each, ensuring they align with the strategy's objectives. Logic Behind Each Indicator: 1. EMA: Emphasizes recent price movements; provides dynamic support and resistance levels. 2. RSI: Indicates overbought and oversold conditions based on recent price changes. 3. MACD: Showcases momentum and direction of a trend by comparing two EMAs. 4. CCI: Measures the difference between a security's price change and its average price change. Understanding strategy conditions is not just about knowing when to buy or sell but also about comprehending the underlying market dynamics that those conditions represent. As you familiarize yourself with each condition and indicator, you'll be better prepared to adapt and evolve with the ever-changing financial markets. 6. Trade Execution and Management Trade execution and management are crucial aspects of any trading strategy. Efficient execution can significantly impact profitability, while effective management can preserve capital during adverse market conditions. In this section, we'll explore the nuances of position entry, exit strategies, and various Stop Loss (SL) and Take Profit (TP) methodologies within the Supertrend Advance Strategy. Position Entry: Effective trade entry revolves around: 1. Timing: Enter at a point where the risk-reward ratio is favorable. This often corresponds to confirmatory signals from multiple indicators. 2. Volume Analysis: Ensure there's adequate volume to support the movement. Volume can validate the strength of a signal. 3. Confirmation: Use multiple indicators or chart patterns to confirm the entry point. For instance, a buy signal from the Supertrend indicator can be confirmed with a bullish MACD crossover. Position Exit Strategies: A successful exit strategy will lock in profits and minimize losses. Here are some strategies: 1. Fixed Time Exit: Exiting after a predetermined period. 2. Percentage-based Profit Target: Exiting after a certain percentage gain. 3. Indicator-based Exit: Exiting when an indicator gives an opposing signal. Percentage-based SL/TP: • Stop Loss (SL): Set a fixed percentage below the entry price to limit potential losses. • Example: A 2% SL on an entry at $100 would trigger a sell at $98. • Take Profit (TP): Set a fixed percentage above the entry price to lock in gains. • Example: A 5% TP on an entry at $100 would trigger a sell at $105. Supertrend-based SL/TP: • Stop Loss (SL): Position the SL at the Supertrend line. If the price breaches this line, it could indicate a trend reversal. • Take Profit (TP): One could set the TP at a point where the Supertrend line flattens or turns, indicating a possible slowdown in momentum. Swing high/low-based SL/TP: • Stop Loss (SL): For a long position, set the SL just below the recent swing low. For a short position, set it just above the recent swing high. • Take Profit (TP): For a long position, set the TP near a recent swing high or resistance. For a short position, near a swing low or support. And other methods... 1. Trailing Stop Loss: This dynamic SL adjusts with the price movement, locking in profits as the trade moves in your favor. 2. Multiple Take Profits: Divide the position into segments and set multiple TP levels, securing profits in stages. 3. Opposite Signal Exit: Exit when another reliable indicator gives an opposite signal. Trade execution and management are as much an art as they are a science. They require a blend of analytical skill, discipline, and intuition. Regularly reviewing and refining your strategies, especially in light of changing market conditions, is crucial to maintaining consistent trading performance. 7. Visual Representations Visual tools are essential for traders, as they simplify complex data into an easily interpretable format. Properly analyzing and understanding the plots on a chart can provide actionable insights and a more intuitive grasp of market conditions. In this section, we’ll delve into various visual representations used in the Supertrend Advance Strategy and their significance. Understanding Plots on the Chart: Charts are the primary visual aids for traders. The arrangement of data points, lines, and colors on them tell a story about the market's past, present, and potential future moves. 1. Data Points: These represent individual price actions over a specific timeframe. For instance, a daily chart will have data points showing the opening, closing, high, and low prices for each day. 2. Colors: Used to indicate the nature of price movement. Commonly, green is used for bullish (upward) moves and red for bearish (downward) moves. Trend Lines: Trend lines are straight lines drawn on a chart that connect a series of price points. Their significance: 1. Uptrend Line: Drawn along the lows, representing support. A break below might indicate a trend reversal. 2. Downtrend Line: Drawn along the highs, indicating resistance. A break above might suggest the start of a bullish trend. Filled Areas: These represent a range between two values on a chart, usually shaded or colored. For instance: 1. Bollinger Bands: The area between the upper and lower band is filled, giving a visual representation of volatility. 2. Volume Profile: Can show a filled area representing the amount of trading activity at different price levels. Stop Loss and Take Profit Lines: These are horizontal lines representing pre-determined exit points for trades. 1. Stop Loss Line: Indicates the level at which a trade will be automatically closed to limit losses. Positioned according to the trader's risk tolerance. 2. Take Profit Line: Denotes the target level to lock in profits. Set according to potential resistance (for long trades) or support (for short trades) or other technical factors. Trailing Stop Lines: A trailing stop is a dynamic form of stop loss that moves with the price. On a chart: 1. For Long Trades: Starts below the entry price and moves up with the price but remains static if the price falls, ensuring profits are locked in. 2. For Short Trades: Starts above the entry price and moves down with the price but remains static if the price rises. Visual representations offer traders a clear, organized view of market dynamics. Familiarity with these tools ensures that traders can quickly and accurately interpret chart data, leading to more informed decision-making. Always ensure that the visual aids used resonate with your trading style and strategy for the best results. 8. Backtesting Backtesting is a fundamental process in strategy development, enabling traders to evaluate the efficacy of their strategy using historical data. It provides a snapshot of how the strategy would have performed in past market conditions, offering insights into its potential strengths and vulnerabilities. In this section, we'll explore the intricacies of setting up and analyzing backtest results and the caveats one must be aware of. Setting Up Backtest Period: 1. Duration: Determine the timeframe for the backtest. It should be long enough to capture various market conditions (bullish, bearish, sideways). For instance, if you're testing a daily strategy, consider a period of several years. 2. Data Quality: Ensure the data source is reliable, offering high-resolution and clean data. This is vital to get accurate backtest results. 3. Segmentation: Instead of a continuous period, sometimes it's helpful to backtest over distinct market phases, like a particular bear or bull market, to see how the strategy holds up in different environments. Analyzing Backtest Results: 1. Performance Metrics: Examine metrics like the total return, annualized return, maximum drawdown, Sharpe ratio, and others to gauge the strategy's efficiency. 2. Win Rate: It's the ratio of winning trades to total trades. A high win rate doesn't always signify a good strategy; it should be evaluated in conjunction with other metrics. 3. Risk/Reward: Understand the average profit versus the average loss per trade. A strategy might have a low win rate but still be profitable if the average gain far exceeds the average loss. 4. Drawdown Analysis: Review the periods of losses the strategy could incur and how long it takes, on average, to recover. 9. Tips and Best Practices Successful trading requires more than just knowing how a strategy works. It necessitates an understanding of when to apply it, how to adjust it to varying market conditions, and the wisdom to recognize and avoid common pitfalls. This section offers insightful tips and best practices to enhance the application of the Supertrend Advance Strategy. When to Use the Strategy: 1. Market Conditions: Ideally, employ the Supertrend Advance Strategy during trending market conditions. This strategy thrives when there are clear upward or downward trends. It might be less effective during consolidative or sideways markets. 2. News Events: Be cautious around significant news events, as they can cause extreme volatility. It might be wise to avoid trading immediately before and after high-impact news. 3. Liquidity: Ensure you are trading in assets/markets with sufficient liquidity. High liquidity ensures that the price movements are more reflective of genuine market sentiment and not due to thin volume. Adjusting Settings for Different Markets/Timeframes: 1. Markets: Each market (stocks, forex, commodities) has its own characteristics. It's essential to adjust the strategy's parameters to align with the market's volatility and liquidity. 2. Timeframes: Shorter timeframes (like 1-minute or 5-minute charts) tend to have more noise. You might need to adjust the settings to filter out false signals. Conversely, for longer timeframes (like daily or weekly charts), you might need to be more responsive to genuine trend changes. 3. Customization: Regularly review and tweak the strategy's settings. Periodic adjustments can ensure the strategy remains optimized for the current market conditions. 10. Frequently Asked Questions (FAQs) Given the complexities and nuances of the Supertrend Advance Strategy, it's only natural for traders, both new and seasoned, to have questions. This section addresses some of the most commonly asked questions regarding the strategy. 1. What exactly is the Supertrend Advance Strategy? The Supertrend Advance Strategy is an evolved version of the traditional Supertrend indicator. It's designed to provide clearer buy and sell signals by incorporating additional indicators like EMA, RSI, MACD, CCI, etc. The strategy aims to capitalize on market trends while minimizing false signals. 2. Can I use the Supertrend Advance Strategy for all asset types? Yes, the strategy can be applied to various asset types like stocks, forex, commodities, and cryptocurrencies. However, it's crucial to adjust the settings accordingly to suit the specific characteristics and volatility of each asset type. 3. Is this strategy suitable for day trading? Absolutely! The Supertrend Advance Strategy can be adjusted to suit various timeframes, making it versatile for both day trading and long-term trading. Remember to fine-tune the settings to align with the timeframe you're trading on. 4. How do I deal with false signals? No strategy is immune to false signals. However, by combining the Supertrend with other indicators and adhering to strict risk management protocols, you can minimize the impact of false signals. Always use stop-loss orders and consider filtering trades with additional confirmation signals. 5. Do I need any prior trading experience to use this strategy? While the Supertrend Advance Strategy is designed to be user-friendly, having a foundational understanding of trading and market analysis can greatly enhance your ability to employ the strategy effectively. If you're a beginner, consider pairing the strategy with further education and practice on demo accounts. 6. How often should I review and adjust the strategy settings? There's no one-size-fits-all answer. Some traders adjust settings weekly, while others might do it monthly. The key is to remain responsive to changing market conditions. Regular backtesting can give insights into potential required adjustments. 7. Can the Supertrend Advance Strategy be automated? Yes, many traders use algorithmic trading platforms to automate their strategies, including the Supertrend Advance Strategy. However, always monitor automated systems regularly to ensure they're operating as intended. 8. Are there any markets or conditions where the strategy shouldn't be used? The strategy might generate more false signals in markets that are consolidative or range-bound. During significant news events or times of unexpected high volatility, it's advisable to tread with caution or stay out of the market. 9. How important is backtesting with this strategy? Backtesting is crucial as it allows traders to understand how the strategy would have performed in the past, offering insights into potential profitability and areas of improvement. Always backtest any new setting or tweak before applying it to live trades. 10. What if the strategy isn't working for me? No strategy guarantees consistent profits. If it's not working for you, consider reviewing your settings, seeking expert advice, or complementing the Supertrend Advance Strategy with other analysis methods. Remember, continuous learning and adaptation are the keys to trading success. Other comments Value of combining several indicators in this script and how they work together Diversification of Signals: Just as diversifying an investment portfolio can reduce risk, using multiple indicators can offer varied perspectives on potential price movements. Each indicator can capture a different facet of the market, ensuring that traders are not overly reliant on a single data point. Confirmation & Reduced False Signals: A common challenge with many indicators is the potential for false signals. By requiring confirmation from multiple indicators before acting, the chances of acting on a false signal can be significantly reduced. Flexibility Across Market Conditions: Different indicators might perform better under different market conditions. For example, while moving averages might excel in trending markets, oscillators like RSI might be more useful during sideways or range-bound conditions. A mashup strategy can potentially adapt better to varying market scenarios. Comprehensive Analysis: With multiple indicators, traders can gauge trend strength, momentum, volatility, and potential market reversals all at once, providing a holistic view of the market. How do the different indicators in the Supertrend Advance Strategy work together? Supertrend: This is primarily a trend-following indicator. It provides traders with buy and sell signals based on the volatility of the price. When combined with other indicators, it can filter out noise and give more weight to strong, confirmed trends. EMA (Exponential Moving Average): EMA gives more weight to recent price data. It can be used to identify the direction and strength of a trend. When the price is above the EMA, it's generally considered bullish, and vice versa. RSI (Relative Strength Index): An oscillator that measures the magnitude of recent price changes to evaluate overbought or oversold conditions. By cross-referencing with other indicators like EMA or MACD, traders can spot potential reversals or confirmations of a trend. MACD (Moving Average Convergence Divergence): This indicator identifies changes in the strength, direction, momentum, and duration of a trend in a stock's price. When the MACD line crosses above the signal line, it can be a bullish sign, and when it crosses below, it can be bearish. Pairing MACD with Supertrend can provide dual confirmation of a trend. CCI (Commodity Channel Index): Initially developed for commodities, CCI can indicate overbought or oversold conditions. It can be used in conjunction with other indicators to determine entry and exit points. In essence, the synergy of these indicators provides a balanced, comprehensive approach to trading. Each indicator offers its unique lens into market conditions, and when they align, it can be a powerful indication of a trading opportunity. This combination not only reduces the potential drawbacks of each individual indicator but leverages their strengths, aiming for more consistent and informed trading decisions. Backtesting and Default Settings • This indicator has been optimized to be applied for 1 hour-charts. However, the underlying principles of this strategy are supply and demand in the financial markets and the strategy can be applied to all timeframes. Daytraders can use the 1min- or 5min charts, swing-traders can use the daily charts. • This strategy has been designed to identify the most promising, highest probability entries and trades for each stock or other financial security. • The combination of the qualifiers results in a highly selective strategy which only considers the most promising swing-trading entries. As a result, you will normally only find a low number of trades for each stock or other financial security per year in case you apply this strategy for the daily charts. Shorter timeframes will result in a higher number of trades / year. • Consequently, traders need to apply this strategy for a full watchlist rather than just one financial security. • Default properties: RSI on (length 14, RSI buy level 50, sell level 50), EMA, RSI, MACD on, type of strategy pullback, SL/TP type: ATR (length 10, factor 3), trade direction both, quantity 5, take profit swing hl 5.1, highest / lowest lookback 2, enable ATR trail (ATR length 10, SL ATR multiplier 1.4, TP multiplier 2.1, lookback = 4, trade direction = both).
Estrategia Pine Script®
por JS_TechTrading
1
4C Volume w/ Relative Volume at TimeThis is a Volume indicator that also shows Relative Volume at Time (RVOL). The RVOL is easily visible as a background color, that changes between Low and High RVOL colors. The RVOL portion of the indicator is a modified version of the 'Relative Volume At Time' indicator by Tradingview (which has been the best/most accurate RVOL indicator i have seen yet on Tradingview, and seems to closely match the how the "Zanger Volume" indicator works). Elevated RVOL can be a very important criteria for trading , especially on lower time frames. This indicator can be used as a simple filter when looking at charts to determine whether it should be traded or not, based on the RVOL. Higher volume/participation relative to previous time periods can lead to better follow through of moves and price action, and can lead to trending conditions. Lower RVOL can lead to choppy market conditions, with lower participation and follow through on chart patterns. The RVOL portion of the indicator draws from the Tradingview 'Relative Volume At Time' indicator developed by authors @e2e4mfck and @LucF , for TradingView. This indicator takes the Past Volume mark and changes it into a background color. High RVOL = When the day's cumulative volume is greater than the Past Volume levels, then the background is painted Blue by default Low RVOL = When the day's cumulative volume is lower than the Past Volume levels, then the background is painted Purple by default See annotated examples in the chart Below, which compares/contrasts this new indicator with the RVOL indicator by Tradingview: Portions of the 'Relative Volume At Time' indictor code have been removed to clean up the script. Plans in the future are to remove more code were possible, to further refine the script and speed up the processing times for the indicator. If anyone is able to strip out more and keep it functioning the same, please let me know. Enjoy. Credit also goes to author @LazyBear . Portions of the Volume indicator is adapted from - HawkEye Volume Indicator
Indicador Pine Script®
por FourC
9
Monthly Strategy Performance TableWhat Is This? This script code adds a Monthly Strategy Performance Table to your Pine Script strategy scripts so you can see a month-by-month and year-by-year breakdown of your P&L as a percentage of your account balance. The table is based on realized equity rather than open equity, so it only updates the metrics when a trade is closed. That's why some numbers will not match the Strategy Tester metrics (such as max drawdown), as the Strategy Tester bases metrics like max drawdown on open trade equity and not realized equity (closed trades). The script is still a work-in-progress, so make sure to read the disclaimer below. But I think it's ready to release the code for others to play around with. How To Use It The script code includes one of my strategies as an example strategy. You need to replace my strategy code with your own. To do that just copy the source code below into a blank script, delete lines 11 -> 60 and paste your strategy code in there instead of mine. The script should work with most systems, but make sure to read the disclaimer below. It works best with a significant amount of historical data, so it may not work very effectively on intraday timeframes as there is a severe limitation of available bars on TradingView. I recommend using it on 4HR timeframes and above, as anything less will produce very little usable data. Having a premium TradingView plan will also help boost the number of available bars. You can hover your mouse over a table cell to get more information in the form of tooltips (such as the Long and Short win rate if you hover over your total return cell). Credit The code in this script is based on open-source code originally written by QuantNomad, I've made significant changes and additions to the original script but all credit for the idea and especially the display table code goes to them - I just built on top of it: Why Did I Make This? None of this is trading or investment advice, just my personal opinion based on my experience as a trader and systems developer these past 6+ years: The TradingView Strategy Tester is severely limited in some important ways. And unless you use complex Excel formulas on exported test data, you can't see a granular perspective of your system's historical performance. There is much more to creating profitable and tradeable systems than developing a strategy with a good win rate and a good return with a reasonable drawdown. Some additional questions we need to ask ourselves are: What did the system's worst drawdown look like? How long did it last? How often do drawdowns occur, and how quickly are they typically recovered? How often do we have a break-even or losing month or year? What is our expected compounded annual growth rate, and how does that growth rate compare to our max drawdown? And many more questions that are too long to list and take a lifetime of trading experience to answer. Without answering these kinds of questions, we run the risk of developing systems that look good on paper, but when it comes to live trading, we are uncomfortable or incapable of enduring the system's granular characteristics. This Monthly Performance Table script code is intended to help bridge some of that gap with the Strategy Tester's limited default performance data. Disclaimer I've done my best to ensure the numbers this code outputs are accurate, and according to my testing with my personal strategy scripts it appears to work fine. But there is always a good chance I've missed something, or that this code will not work with your particular system. The majority of my TradingView systems are extremely simple single-target systems that operate on a closed-candle basis to minimize many of the data reliability issues with the Strategy Tester, so I was unable to do much testing with multiple targets and pyramiding etc. I've included a Debug option in the script that will display important data and information on a label each time a trade is closed. I recommend using the Debug option to confirm that the numbers you see in the table are accurate and match what your strategy is actually doing. Always do your own due diligence, verify all claims as best you can, and never take anyone's word for anything. Take care, and best of luck with your trading :) Kind regards, Matt. PS. If you're interested in learning how this script works, I have a free hour-long video lesson breaking down the source code - just check out the links below this script or in my profile.
Estrategia Pine Script®
por ZenAndTheArtOfTrading
29
Inside Candle DivergenceStudy Material: Inside Candle Divergence Indicator (aiTrendview) 1. Introduction The Inside Candle Divergence Indicator is a custom tool built on TradingView using Pine Script. It is designed to help traders identify potential reversal points or trend continuations using a mix of candlestick analysis, RSI (Relative Strength Index), VWAP (Volume Weighted Average Price), Pivot Points, and Volume analytics. The tool also provides a dashboard table on the chart, summarizing all key values in a single glance for traders and analysts. This indicator is not just a signal generator but also an educational framework—explaining how different concepts in technical analysis combine to build a systematic approach for market entries and exits. ________________________________________ 2. Core Concepts Behind the Tool A. Inside Candle Pattern An Inside Candle forms when the current candle’s high is lower than or equal to the previous candle’s high, and the low is higher than or equal to the previous candle’s low. • This means the entire price action of the current candle is "inside" the range of the previous candle. • A bullish inside candle occurs when the close is higher than the open. • A bearish inside candle occurs when the close is lower than the open. This pattern shows market indecision but also sets up potential breakouts or trend reversals. ________________________________________ B. RSI (Relative Strength Index) The indicator calculates RSI using the formula from the ta.rsi() function in TradingView. RSI helps measure momentum in the market. • A low RSI (below 25) signals an oversold zone → possible buy. • A high RSI (above 75) signals an overbought zone → possible sell. By combining RSI with the Inside Candle, the indicator ensures that signals are triggered only when momentum and price patterns confirm each other. ________________________________________ C. Buy & Sell Signals • Buy Signal: Triggered when RSI < Buy Level (default 25) and a bullish inside candle forms. • Sell Signal: Triggered when RSI > Sell Level (default 75) and a bearish inside candle forms. When triggered, the chart displays a BUY (green label below candle) or SELL (red label above candle) marker. The indicator also saves the entry price and signal bar for future reference inside the dashboard. ________________________________________ D. VWAP (Volume Weighted Average Price) VWAP is calculated using the typical price (H+L+C)/3 and weighting it by volume. • VWAP shows the average trading price weighted by volume, widely used by institutions. • The tool calculates the distance of price from VWAP in % terms. • If price is far above VWAP, the market may be overheated (overbought). If far below, it may be undervalued (oversold). ________________________________________ E. Volume Analysis The tool splits volume into Buy Volume and Sell Volume: • Buy Volume: If close > open. • Sell Volume: If close ≤ open. • Cumulative totals are maintained, and percentages are calculated to show what proportion of total market volume is bullish vs bearish. • A progress bar style visual (using blocks █) shows the dominance of buyers or sellers. This allows traders to quickly measure whether buyers or sellers are controlling the market trend. ________________________________________ F. Daily Pivot Points Pivot Points are calculated using the previous day’s high, low, and close: • Pivot = (High + Low + Close) / 3 • R1, S1, R2, S2, R3, S3 levels are derived from this pivot. • These levels act as support and resistance zones. The script plots Pivot, R1, and S1 lines on the chart for easy reference. ________________________________________ G. Trend Direction The indicator checks where the price is compared to R1 and S1: • If price > R1 → Bullish Trend • If price < S1 → Bearish Trend • Otherwise → Neutral Trend The trend direction is displayed in the dashboard with arrows (↑, ↓, →). ________________________________________ H. Price Change Calculation The tool calculates: • Price Change = Current Close – Previous Close • Percentage Change = (Change / Previous Close) × 100 • Displays ▲ (green upward) or ▼ (red downward) with the exact percentage. This gives traders a quick snapshot of intraday price movement. ________________________________________ I. Dashboard Table One of the most powerful features is the real-time dashboard table shown on the chart. It contains: 1. Symbol & Price Info (Current ticker, price, change %) 2. RSI Reading (with color coding: green for oversold, red for overbought) 3. VWAP and Distance from VWAP 4. Volume Analysis with Progress Bar (Buy vs Sell %) 5. Pivot Levels (Pivot, R1, S1) 6. Trend Direction (Bullish, Bearish, Neutral) 7. Signal Status (Last Buy/Sell signal with entry price) This reduces the need for multiple indicators and gives traders a command-center view directly on the chart. ________________________________________ J. Alerts The tool generates alerts whenever a Buy or Sell condition is met. Traders can set up TradingView alerts to be notified instantly when: • Buy Signal Alert → RSI oversold + Bullish inside candle • Sell Signal Alert → RSI overbought + Bearish inside candle This ensures no opportunity is missed even if you’re not actively monitoring the chart. ________________________________________ K. Background Highlights The chart background also changes faintly (light green or light red) when a Buy or Sell condition is triggered. This gives traders visual confirmation along with signals and alerts. ________________________________________ 3. Practical Use of This Tool • Scalpers & Intraday Traders can use it for quick momentum-based entries. • Swing Traders can use the RSI + Inside Candle + Pivot Points to find medium-term reversals. • Analysts can use the dashboard for real-time summaries in reports. • Volume Analysis helps understand institutional activity. Remember: This is not a standalone holy grail. It must be used with proper risk management and confirmation from higher timeframes. ________________________________________ 4. Strict Disclaimer (aiTrendview) ⚠️ Disclaimer from aiTrendview: This indicator is designed for educational and analytical purposes only. It is not financial advice or a guaranteed trading strategy. Markets are inherently risky and unpredictable; past performance of indicators does not ensure future results. Trading involves risk of financial loss, and traders must use proper risk management, stop-loss, and independent judgment. aiTrendview strictly follows TradingView.com rules and compliance guidelines. Any misuse of this tool, its code, or analytical features for unauthorized commercial purposes, false promises, or misleading activities is strictly discouraged. The creators of this script and aiTrendview will not be responsible for any losses, damages, or misuse arising from its application. Always trade responsibly and only with money you can afford to lose. ________________________________________
Indicador Pine Script®
por aiTrendview-Charting-System
Next Candle Predictor with Auto HedgingThe "Next Candle Predictor with Auto Hedging" is a Pine Script indicator designed for use on TradingView. It combines predictive analysis and basic hedging techniques to assist traders in making informed decisions. Here's a detailed explanation suitable for public sharing on TradingView: Overview This script predicts the closing price of the next candle based on the current candle's open and close prices. It also includes an auto hedging feature that suggests potential hedging levels to mitigate risk based on the predicted price movement. The indicator is particularly useful for traders looking to enhance their trading strategies with predictive analytics. Key Features Next Candle Prediction: The indicator analyzes the current candle's data (open and close prices) to predict whether the next candle will close higher or lower. If the current candle is bullish (close > open), it predicts a higher close for the next candle. Conversely, if the candle is bearish, it predicts a lower close. Auto Hedging: The script calculates a hedging level based on the predicted close price. If the predicted close indicates a bullish move, the hedge level is set slightly below the predicted close, suggesting where a trader might consider placing a hedge. If the prediction indicates a bearish move, the hedge level is set above the predicted close. Elliott Wave Analysis: The script includes a basic implementation of identifying significant price movements, akin to Elliott Wave analysis, by detecting peaks and troughs over a specified number of bars (wave length). This can help traders identify potential trend reversals or continuations. How It Works Input Parameters: Users can customize the waveLength parameter, which determines how many bars back the script looks to identify significant highs and lows. Peak and Trough Detection: The script identifies the highest high and lowest low within the specified wave length, plotting these points on the chart for visual reference. Prediction Logic: The predicted close is calculated based on the current candle's behavior, allowing traders to anticipate price movements. Hedging Level Calculation: The script dynamically calculates a hedging level based on the predicted close, providing a visual cue for potential risk management strategies. Visual Representation The indicator plots: Elliott Wave Highs: Marked in green. Elliott Wave Lows: Marked in red. Predicted Close: Shown as a blue step line. Hedge Level: Displayed as an orange step line. Benefits Enhanced Decision-Making: By providing predictions and potential hedging levels, traders can make more informed decisions about entering or exiting positions. Risk Management: The auto hedging feature helps traders manage risk by suggesting levels where they might place hedges against adverse price movements. Customizable: The script allows for user-defined parameters, making it adaptable to different trading strategies and market conditions. Conclusion The "Next Candle Predictor with Auto Hedging" indicator is a powerful tool for traders seeking to enhance their trading strategies with predictive analytics and risk management techniques. By utilizing this indicator, traders can gain insights into potential price movements and make more informed trading decisions. Feel free to explore the script, customize it to fit your trading style, and engage with the TradingView community for further insights and improvements! Related
Indicador Pine Script®
por HackWarrior
1
[blackcat] L2 Double EMA Convergence and Diverence (DEMACD)Introduction: The " L2 Double EMA Convergence and Divergence (DEMACD)" is a custom technical indicator designed for use in TradingView. It's based on the concept of Double Exponential Moving Averages (DEMA) and incorporates elements from the well-known Moving Average Convergence Divergence (MACD). This guide aims to provide an understanding of its definition, history, calculation, operations, usage, input settings, and style. 1. Definition: The DEMACD indicator is designed to detect changes in price trends using a modified approach of the traditional MACD, with a focus on reducing lag. It does this by comparing two DEMAs of different lengths, providing traders with signals of converging and diverging trends. 2. History: The concept of DEMA was introduced by Patrick Mulloy in 1994 to reduce the lag inherent in traditional EMAs. MACD, developed by Gerald Appel in the 1970s, is a trend-following momentum indicator that shows the relationship between two moving averages of a security's price. The DEMACD combines the quick response feature of DEMA with the reliable trend analysis of MACD. 3. Calculation Method: DEMACD is calculated through several steps: Smoothed price S is first computed as (3 * close + high + low + open) / 6. DAYLINE is calculated as 2 * EMA(S, len_ema) - EMA(EMA(S, 5), len_ema). The mainTrendLine is the EMA of the EMA of the closing price over len_dema periods. DIF is the difference between the DAYLINE and mainTrendLine. DEA is the EMA of DIF over len_smooth periods. Finally, DEMACD is calculated as (DIF - DEA) * 2. 4. Basic Operations and Comparison with MACD: DEMACD's key feature is its reduced lag compared to the traditional MACD. While MACD uses EMA, DEMACD uses DEMA, providing a faster and more accurate response to price changes. This makes it particularly useful in volatile market conditions where traditional MACD may lag. 5. Usage: Similar to MACD, DEMACD is used for trend confirmation, crossover signals, and divergences: Trend confirmation is observed when the DIF line is above or below the DEA line. Crossover signals are generated when the DIF line crosses the DEA line. Divergences between the DEMACD and price action can signal potential trend reversals. 6. Input Settings: Users can configure the following settings in TradingView: len_ema: Length of the EMA for DAYLINE. len_dema: Length of the EMA for the main trend line. len_smooth: Smoothing length for DEA. Adjusting these settings allows traders to tailor the indicator to different trading styles and market conditions. 7. Style: The DEMACD in TradingView is represented with different colors and line thicknesses: DIF is plotted in red with a line thickness of 2. DEA is plotted in gray, also with a line thickness of 2. DEMACD histogram changes color based on its value relative to its previous value and zero. Conclusion: The " L2 Double EMA Convergence and Divergence (DEMACD)" is a versatile indicator that combines the rapid response of DEMA with the trend-following abilities of MACD. Its reduced lag makes it a valuable tool for traders looking for timely market signals. Proper understanding and application of its settings can enhance its effectiveness in various trading strategies.
Indicador Pine Script®
por blackcat1402
1