[CryptoWho] Multi DivergencesThis script looks for divergences on up to six indicators, sums them up and draw a histogram below the chart.
You have several options to customize the output:
1. indicators: RSI, Stoch RSI, MACD, CCI, OBV, WaveTrend (LazyBear)
2. Divergences: Regular, hidden, both
3. Lookback period for divergences
BITSTAMP:BTCUSD
In den Scripts nach "RSI MACD" suchen
StochRSI + RSI + MACDStochasticRSI, RSI, and a MACD all in one.
StochRSI with an RSI overlay. Relatively, the Overbought and Oversold lines are set at 30.9 and 69.1, respectively
Down below, a Normalized MACD.
The MACD, in the settings, can be adjusted between Exponential(closest to normal MACD) or Smoothed (Less Noise).
Normalization can be adjusted as well.
Optionally, you can change the background color of the MACD area based on the direction the MACD line is heading.
RSI Crossover AlertRSI Crossover Alert Indicator - User Guide
The RSI Crossover Alert Indicator is a comprehensive technical analysis tool that detects multiple types of RSI crossovers and generates real-time alerts. It combines traditional RSI analysis with signal lines, divergence detection, and multi-level crossing alerts.
1. Multiple Crossover Detection
- RSI/Signal Line Cross: Signals a primary trend change.
- RSI/Second Signal Cross: Confirmation signals for stronger trends.
- Level Crossings: Crosses of Overbought 70, Oversold 30, and Midline 50.
- Divergence Detection: Hidden and regular divergences for reversal signals.
2. Alert Types
- Alert: RSI > Signal
Description: Bullish momentum is building.
Signal: Consider long positions.
- Alert: RSI < Signal
Description: Bearish momentum is building.
Signal: Consider short positions.
- Alert: RSI > 70
Description: Entering the overbought zone.
Signal: Prepare for a potential reversal.
- Alert: RSI < 30
Description: Entering the oversold zone.
Signal: Watch for a bounce opportunity.
- Alert: RSI crosses 50
Description: A shift in momentum.
Signal: Trend confirmation.
3. Visual Components
- Lines: RSI blue, Signal orange, Second Signal purple
- Histogram: Visualizes momentum by showing the difference between RSI and the Signal line.
- Background Zones: Red overbought, Green oversold
- Markers: Up/down triangles to indicate crossovers.
- Info Table: Real-time RSI values and status.
Strategy 1: Classic Crossover
- Entry Long: RSI crosses above the Signal Line AND RSI is below 50.
- Entry Short: RSI crosses below the Signal Line AND RSI is above 50.
- Take Profit: On the opposite signal.
- Stop Loss: At the recent swing high/low.
Strategy 2: Extreme Zone Reversal
- Entry Long: RSI is below 30 and crosses above the Signal Line.
- Entry Short: RSI is above 70 and crosses below the Signal Line.
- Risk Management: Higher win rate but fewer signals. Use a minimum 2:1 risk-reward ratio.
Strategy 3: Divergence Trading
- Setup: Enable divergence alerts and look for price/RSI divergence. Wait for an RSI crossover for confirmation.
- Entry: Enter on the crossover after the divergence appears. Place the stop loss beyond the starting point of the divergence.
Strategy 4: Multi-Timeframe Confirmation
1. Check the higher timeframe e.g. Daily to identify the main trend.
2. Use the current timeframe e.g. 4H/1H for your entry.
3. Only enter in the direction of the main trend.
4. Use the RSI crossover as the entry trigger.
Optimal Settings by Market
- Forex Major Pairs
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 70/30
- Crypto High Volatility
RSI Length: 10-12, Signal Length: 6-8, Overbought/Oversold: 75/25
- Stocks Trending
RSI Length: 14-21, Signal Length: 9-12, Overbought/Oversold: 70/30
- Commodities
RSI Length: 14, Signal Length: 9, Overbought/Oversold: 80/20
Risk Management Rules
1. Position Sizing: Never risk more than 1-2% on a single trade. Reduce size in ranging markets.
2. Stop Loss Placement: Place stops beyond the recent swing high/low for crossovers. Using an ATR-based stop is also effective.
3. Profit Taking: Take partial profits at a 1:1 risk-reward ratio. Switch to a trailing stop after reaching 2:1.
1. Filtering Signals
- Combine with volume indicators.
- Confirm the trend on a higher timeframe.
- Wait for candlestick pattern confirmation.
2. Avoid Common Mistakes
- Don't trade every single crossover.
- Avoid taking signals against a strong trend.
- Do not ignore risk management.
3. Market Conditions
- Trending Market: Focus on midline 50 crosses.
- Ranging Market: Look for reversals from overbought/oversold levels.
- Volatile Market: Widen the overbought/oversold levels.
- If you get too many false signals:
Increase the signal line period, add other confirmation indicators, or use a higher timeframe.
- If you are missing major moves:
Decrease the RSI length, shorten the signal line period, or check your alert settings.
Recommended Combinations
1. RSI + MACD: For dual momentum confirmation.
2. RSI + Bollinger Bands: For volatility-adjusted signals.
3. RSI + Volume: To confirm the strength of a signal.
4. RSI + Moving Averages: To use as a trend filter.
This indicator provides a comprehensive RSI analysis. Success depends on proper configuration, risk management, and combining signals with the overall market context. Start with the default settings, then optimize based on your trading style and market conditions.
Custom Strategy Builder Raad V1This indicator is an advanced trading strategy builder that combines multiple technical indicators and analysis tools into a single script. Below is a simplified breakdown of its key components and functionalities.
Key Features & Components
1. Core Indicators
Moving Averages (EMA, SMA, WMA, HMA, VWMA) – Multiple types with customizable lengths.
Range Filter – A volatility-based trend filter.
SuperTrend – A trend-following indicator using ATR.
Half Trend – Another trend-following indicator.
Ichimoku Cloud – A comprehensive trend and support/resistance system.
2. Trend Indicators
Bollinger Bands – Volatility-based price channels.
MACD – Moving Average Convergence Divergence for momentum.
Parabolic SAR – A trailing stop indicator for trend direction.
Donchian Channel – Identifies breakout levels based on recent highs/lows.
3. Momentum Indicators
RSI (Relative Strength Index) – Measures overbought/oversold conditions.
Stochastic Oscillator – Another momentum indicator for reversals.
CCI (Commodity Channel Index) – Detects cyclical trends.
Awesome Oscillator (AO) – A histogram-based momentum tool.
4. Additional Analysis Tools
Fibonacci Retracement – Key support/resistance levels based on Fibonacci ratios.
Pivot Points – Calculates intraday support/resistance levels.
Supply/Demand Zones – Highlights key accumulation/distribution areas.
Volume Analysis – Includes VWAP and volume-based signals.
5. Dashboard & Customization
Switch Board – Enables/disables indicators on the chart.
Signal Filters – Adjusts confirmation rules for entries/exits.
Visual Customization – Change colors, line styles, and sizes.
How It Works
Leading Indicator – The primary signal generator (e.g., Range Filter, RSI, MACD).
Confirmation Indicators – Additional filters to validate signals (e.g., EMA cross, volume, trend strength).
Signal Expiry – Defines how long a signal remains valid before resetting.
Dashboard Display – Shows active signals and market conditions.
Best Use Cases
✅ Multi-Indicator Strategies – Combines multiple signals into one system.
✅ Trend & Momentum Trading – Works well for swing and intraday trading.
✅ Customizable Alerts – Can trigger buy/sell signals based on user-defined rules.
This indicator is ideal for traders who want a fully customizable and multi-strategy approach without manually overlaying multiple indicators.
هذا المؤشر هو أداة متقدمة لبناء استراتيجيات التداول تحتوي على مجموعة كبيرة من المؤشرات الفنية وأدوات التحليل. إليك شرح مبسط لمكوناته الرئيسية:
المكونات الرئيسية:
1. المؤشرات الأساسية:
المتوسطات المتحركة (EMA, SMA, WMA, HMA, VWMA): تسمح باختيار أنواع مختلفة من المتوسطات المتحركة بأطوال مختلفة.
Range Filter: مرشح يعتمد على مدى السعر لتحديد الاتجاه.
SuperTrend: مؤشر اتجاهي يعتمد على ATR.
Half Trend: مؤشر اتجاهي آخر.
Ichimoku Cloud: نظام إيشيموكو الكلاسيكي.
2. مؤشرات الاتجاه:
Bollinger Bands: نطاقات بولينجر.
MACD: مؤشر تقارب وتباعد المتوسطات المتحركة.
Parabolic SAR: مؤشر SAR القطعي المكافئ.
Donchian Channel: قناة دونشيان لتحديد القمم والقيعان.
3. مؤشرات الزخم:
RSI: مؤشر القوة النسبية.
Stochastic: مؤشر ستوكاستيك.
CCI: مؤشر قناة السلع.
Awesome Oscillator: مؤشر الزخم.
4. أدوات التحليل الأخرى:
Fibonacci Retracement: مستويات فيبوناتشي للتصحيح.
Pivot Points: نقاط محورية.
Supply/Demand Zones: مناطق العرض والطلب.
Volume Analysis: تحليل الحجم.
5. لوحة التحكم:
تسمح بتفعيل/تعطيل المؤشرات المختلفة.
تخصيص ألوان وعرض الخطوط.
ضبط معايير الإشارات.
طريقة العمل:
يحدد المؤشر إشارات شراء/بيع بناءً على تقاطعات المؤشرات المختلفة.
يمكن استخدام مؤشر رئيسي (Leading Indicator) مع مؤشرات تأكيد (Confirmation Indicators).
يوفر خيارات لتخصيص فترة انتهاء صلاحية الإشارة وطريقة العرض.
الاستخدام:
للمتداولين المتقدمين الذين يرغبون في بناء استراتيجيات معقدة.
يمكن استخدامه للتحليل الفني متعدد الأطر الزمنية.
يوفر مرونة كبيرة في تخصيص المؤشرات حسب احتياجات المستخدم.
Multi Oscillator Divergence IndicatorTradingview Built-in Divergence Indicator with RSI is extended for Price Divergence with
- RSI
- MACD
- Sochastic
- Money Flow
- Demand Index
- Chaikin Money Flow
Thanks to tradingview for providing this unique indicator.
Indicators all in oneHello Everyone . Sometimes we need some indicators and each one needs seperated window. with this tool we can see indicators by choosing it from pull down menu, in the same window.
Currently you can choose RSI, MACD, Commodity Channel Index (CCI), Momentum, Stochastic, Stochastic RSI, Directional Movement Index (DMI), Chaikin Money Flow (CMF), On-Balance Volume (OBV), Average True Range (ATR), Volume Weigthed MACD (VWMACD).
some screen shots:
DMI:
MACD:
Stochastic RSI
Let me know if you need any other indicator in this tool.
Enjoy!
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。
Keltner Channel Enhanced [DCAUT]█ Keltner Channel Enhanced
📊 ORIGINALITY & INNOVATION
The Keltner Channel Enhanced represents an important advancement over standard Keltner Channel implementations by introducing dual flexibility in moving average selection for both the middle band and ATR calculation. While traditional Keltner Channels typically use EMA for the middle band and RMA (Wilder's smoothing) for ATR, this enhanced version provides access to 25+ moving average algorithms for both components, enabling traders to fine-tune the indicator's behavior to match specific market characteristics and trading approaches.
Key Advancements:
Dual MA Algorithm Flexibility: Independent selection of moving average types for middle band (25+ options) and ATR smoothing (25+ options), allowing optimization of both trend identification and volatility measurement separately
Enhanced Trend Sensitivity: Ability to use faster algorithms (HMA, T3) for middle band while maintaining stable volatility measurement with traditional ATR smoothing, or vice versa for different trading strategies
Adaptive Volatility Measurement: Choice of ATR smoothing algorithm affects channel responsiveness to volatility changes, from highly reactive (SMA, EMA) to smoothly adaptive (RMA, TEMA)
Comprehensive Alert System: Five distinct alert conditions covering breakouts, trend changes, and volatility expansion, enabling automated monitoring without constant chart observation
Multi-Timeframe Compatibility: Works effectively across all timeframes from intraday scalping to long-term position trading, with independent optimization of trend and volatility components
This implementation addresses key limitations of standard Keltner Channels: fixed EMA/RMA combination may not suit all market conditions or trading styles. By decoupling the trend component from volatility measurement and allowing independent algorithm selection, traders can create highly customized configurations for specific instruments and market phases.
📐 MATHEMATICAL FOUNDATION
Keltner Channel Enhanced uses a three-component calculation system that combines a flexible moving average middle band with ATR-based (Average True Range) upper and lower channels, creating volatility-adjusted trend-following bands.
Core Calculation Process:
1. Middle Band (Basis) Calculation:
The basis line is calculated using the selected moving average algorithm applied to the price source over the specified period:
basis = ma(source, length, maType)
Supported algorithms include EMA (standard choice, trend-biased), SMA (balanced and symmetric), HMA (reduced lag), WMA, VWMA, TEMA, T3, KAMA, and 17+ others.
2. Average True Range (ATR) Calculation:
ATR measures market volatility by calculating the average of true ranges over the specified period:
trueRange = max(high - low, abs(high - close ), abs(low - close ))
atrValue = ma(trueRange, atrLength, atrMaType)
ATR smoothing algorithm significantly affects channel behavior, with options including RMA (standard, very smooth), SMA (moderate smoothness), EMA (fast adaptation), TEMA (smooth yet responsive), and others.
3. Channel Calculation:
Upper and lower channels are positioned at specified multiples of ATR from the basis:
upperChannel = basis + (multiplier × atrValue)
lowerChannel = basis - (multiplier × atrValue)
Standard multiplier is 2.0, providing channels that dynamically adjust width based on market volatility.
Keltner Channel vs. Bollinger Bands - Key Differences:
While both indicators create volatility-based channels, they use fundamentally different volatility measures:
Keltner Channel (ATR-based):
Uses Average True Range to measure actual price movement volatility
Incorporates gaps and limit moves through true range calculation
More stable in trending markets, less prone to extreme compression
Better reflects intraday volatility and trading range
Typically fewer band touches, making touches more significant
More suitable for trend-following strategies
Bollinger Bands (Standard Deviation-based):
Uses statistical standard deviation to measure price dispersion
Based on closing prices only, doesn't account for intraday range
Can compress significantly during consolidation (squeeze patterns)
More touches in ranging markets
Better suited for mean-reversion strategies
Provides statistical probability framework (95% within 2 standard deviations)
Algorithm Combination Effects:
The interaction between middle band MA type and ATR MA type creates different indicator characteristics:
Trend-Focused Configuration (Fast MA + Slow ATR): Middle band uses HMA/EMA/T3, ATR uses RMA/TEMA, quick trend changes with stable channel width, suitable for trend-following
Volatility-Focused Configuration (Slow MA + Fast ATR): Middle band uses SMA/WMA, ATR uses EMA/SMA, stable trend with dynamic channel width, suitable for volatility trading
Balanced Configuration (Standard EMA/RMA): Classic Keltner Channel behavior, time-tested combination, suitable for general-purpose trend following
Adaptive Configuration (KAMA + KAMA): Self-adjusting indicator responding to efficiency ratio, suitable for markets with varying trend strength and volatility regimes
📊 COMPREHENSIVE SIGNAL ANALYSIS
Keltner Channel Enhanced provides multiple signal categories optimized for trend-following and breakout strategies.
Channel Position Signals:
Upper Channel Interaction:
Price Touching Upper Channel: Strong bullish momentum, price moving more than typical volatility range suggests, potential continuation signal in established uptrends
Price Breaking Above Upper Channel: Exceptional strength, price exceeding normal volatility expectations, consider adding to long positions or tightening trailing stops
Price Riding Upper Channel: Sustained strong uptrend, characteristic of powerful bull moves, stay with trend and avoid premature profit-taking
Price Rejection at Upper Channel: Momentum exhaustion signal, consider profit-taking on longs or waiting for pullback to middle band for reentry
Lower Channel Interaction:
Price Touching Lower Channel: Strong bearish momentum, price moving more than typical volatility range suggests, potential continuation signal in established downtrends
Price Breaking Below Lower Channel: Exceptional weakness, price exceeding normal volatility expectations, consider adding to short positions or protecting against further downside
Price Riding Lower Channel: Sustained strong downtrend, characteristic of powerful bear moves, stay with trend and avoid premature covering
Price Rejection at Lower Channel: Momentum exhaustion signal, consider covering shorts or waiting for bounce to middle band for reentry
Middle Band (Basis) Signals:
Trend Direction Confirmation:
Price Above Basis: Bullish trend bias, middle band acts as dynamic support in uptrends, consider long positions or holding existing longs
Price Below Basis: Bearish trend bias, middle band acts as dynamic resistance in downtrends, consider short positions or avoiding longs
Price Crossing Above Basis: Potential trend change from bearish to bullish, early signal to establish long positions
Price Crossing Below Basis: Potential trend change from bullish to bearish, early signal to establish short positions or exit longs
Pullback Trading Strategy:
Uptrend Pullback: Price pulls back from upper channel to middle band, finds support, and resumes upward, ideal long entry point
Downtrend Bounce: Price bounces from lower channel to middle band, meets resistance, and resumes downward, ideal short entry point
Basis Test: Strong trends often show price respecting the middle band as support/resistance on pullbacks
Failed Test: Price breaking through middle band against trend direction signals potential reversal
Volatility-Based Signals:
Narrow Channels (Low Volatility):
Consolidation Phase: Channels contract during periods of reduced volatility and directionless price action
Breakout Preparation: Narrow channels often precede significant directional moves as volatility cycles
Trading Approach: Reduce position sizes, wait for breakout confirmation, avoid range-bound strategies within channels
Breakout Direction: Monitor for price breaking decisively outside channel range with expanding width
Wide Channels (High Volatility):
Trending Phase: Channels expand during strong directional moves and increased volatility
Momentum Confirmation: Wide channels confirm genuine trend with substantial volatility backing
Trading Approach: Trend-following strategies excel, wider stops necessary, mean-reversion strategies risky
Exhaustion Signs: Extreme channel width (historical highs) may signal approaching consolidation or reversal
Advanced Pattern Recognition:
Channel Walking Pattern:
Upper Channel Walk: Price consistently touches or exceeds upper channel while staying above basis, very strong uptrend signal, hold longs aggressively
Lower Channel Walk: Price consistently touches or exceeds lower channel while staying below basis, very strong downtrend signal, hold shorts aggressively
Basis Support/Resistance: During channel walks, price typically uses middle band as support/resistance on minor pullbacks
Pattern Break: Price crossing basis during channel walk signals potential trend exhaustion
Squeeze and Release Pattern:
Squeeze Phase: Channels narrow significantly, price consolidates near middle band, volatility contracts
Direction Clues: Watch for price positioning relative to basis during squeeze (above = bullish bias, below = bearish bias)
Release Trigger: Price breaking outside narrow channel range with expanding width confirms breakout
Follow-Through: Measure squeeze height and project from breakout point for initial profit targets
Channel Expansion Pattern:
Breakout Confirmation: Rapid channel widening confirms volatility increase and genuine trend establishment
Entry Timing: Enter positions early in expansion phase before trend becomes overextended
Risk Management: Use channel width to size stops appropriately, wider channels require wider stops
Basis Bounce Pattern:
Clean Bounce: Price touches middle band and immediately reverses, confirms trend strength and entry opportunity
Multiple Bounces: Repeated basis bounces indicate strong, sustainable trend
Bounce Failure: Price penetrating basis signals weakening trend and potential reversal
Divergence Analysis:
Price/Channel Divergence: Price makes new high/low while staying within channel (not reaching outer band), suggests momentum weakening
Width/Price Divergence: Price breaks to new extremes but channel width contracts, suggests move lacks conviction
Reversal Signal: Divergences often precede trend reversals or significant consolidation periods
Multi-Timeframe Analysis:
Keltner Channels work particularly well in multi-timeframe trend-following approaches:
Three-Timeframe Alignment:
Higher Timeframe (Weekly/Daily): Identify major trend direction, note price position relative to basis and channels
Intermediate Timeframe (Daily/4H): Identify pullback opportunities within higher timeframe trend
Lower Timeframe (4H/1H): Time precise entries when price touches middle band or lower channel (in uptrends) with rejection
Optimal Entry Conditions:
Best Long Entries: Higher timeframe in uptrend (price above basis), intermediate timeframe pulls back to basis, lower timeframe shows rejection at middle band or lower channel
Best Short Entries: Higher timeframe in downtrend (price below basis), intermediate timeframe bounces to basis, lower timeframe shows rejection at middle band or upper channel
Risk Management: Use higher timeframe channel width to set position sizing, stops below/above higher timeframe channels
🎯 STRATEGIC APPLICATIONS
Keltner Channel Enhanced excels in trend-following and breakout strategies across different market conditions.
Trend Following Strategy:
Setup Requirements:
Identify established trend with price consistently on one side of basis line
Wait for pullback to middle band (basis) or brief penetration through it
Confirm trend resumption with price rejection at basis and move back toward outer channel
Enter in trend direction with stop beyond basis line
Entry Rules:
Uptrend Entry:
Price pulls back from upper channel to middle band, shows support at basis (bullish candlestick, momentum divergence)
Enter long on rejection/bounce from basis with stop 1-2 ATR below basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Downtrend Entry:
Price bounces from lower channel to middle band, shows resistance at basis (bearish candlestick, momentum divergence)
Enter short on rejection/reversal from basis with stop 1-2 ATR above basis
Aggressive: Enter on first touch; Conservative: Wait for confirmation candle
Trend Management:
Trailing Stop: Use basis line as dynamic trailing stop, exit if price closes beyond basis against position
Profit Taking: Take partial profits at opposite channel, move stops to basis
Position Additions: Add to winners on subsequent basis bounces if trend intact
Breakout Strategy:
Setup Requirements:
Identify consolidation period with contracting channel width
Monitor price action near middle band with reduced volatility
Wait for decisive breakout beyond channel range with expanding width
Enter in breakout direction after confirmation
Breakout Confirmation:
Price breaks clearly outside channel (upper for longs, lower for shorts), channel width begins expanding from contracted state
Volume increases significantly on breakout (if using volume analysis)
Price sustains outside channel for multiple bars without immediate reversal
Entry Approaches:
Aggressive: Enter on initial break with stop at opposite channel or basis, use smaller position size
Conservative: Wait for pullback to broken channel level, enter on rejection and resumption, tighter stop
Volatility-Based Position Sizing:
Adjust position sizing based on channel width (ATR-based volatility):
Wide Channels (High ATR): Reduce position size as stops must be wider, calculate position size using ATR-based risk calculation: Risk / (Stop Distance in ATR × ATR Value)
Narrow Channels (Low ATR): Increase position size as stops can be tighter, be cautious of impending volatility expansion
ATR-Based Risk Management: Use ATR-based risk calculations, position size = 0.01 × Capital / (2 × ATR), use multiples of ATR (1-2 ATR) for adaptive stops
Algorithm Selection Guidelines:
Different market conditions benefit from different algorithm combinations:
Strong Trending Markets: Middle band use EMA or HMA, ATR use RMA, capture trends quickly while maintaining stable channel width
Choppy/Ranging Markets: Middle band use SMA or WMA, ATR use SMA or WMA, avoid false trend signals while identifying genuine reversals
Volatile Markets: Middle band and ATR both use KAMA or FRAMA, self-adjusting to changing market conditions reduces manual optimization
Breakout Trading: Middle band use SMA, ATR use EMA or SMA, stable trend with dynamic channels highlights volatility expansion early
Scalping/Day Trading: Middle band use HMA or T3, ATR use EMA or TEMA, both components respond quickly
Position Trading: Middle band use EMA/TEMA/T3, ATR use RMA or TEMA, filter out noise for long-term trend-following
📋 DETAILED PARAMETER CONFIGURATION
Understanding and optimizing parameters is essential for adapting Keltner Channel Enhanced to specific trading approaches.
Source Parameter:
Close (Most Common): Uses closing price, reflects daily settlement, best for end-of-day analysis and position trading, standard choice
HL2 (Median Price): Smooths out closing bias, better represents full daily range in volatile markets, good for swing trading
HLC3 (Typical Price): Gives more weight to close while including full range, popular for intraday applications, slightly more responsive than HL2
OHLC4 (Average Price): Most comprehensive price representation, smoothest option, good for gap-prone markets or highly volatile instruments
Length Parameter:
Controls the lookback period for middle band (basis) calculation:
Short Periods (10-15): Very responsive to price changes, suitable for day trading and scalping, higher false signal rate
Standard Period (20 - Default): Represents approximately one month of trading, good balance between responsiveness and stability, suitable for swing and position trading
Medium Periods (30-50): Smoother trend identification, fewer false signals, better for position trading and longer holding periods
Long Periods (50+): Very smooth, identifies major trends only, minimal false signals but significant lag, suitable for long-term investment
Optimization by Timeframe: 1-15 minute charts use 10-20 period, 30-60 minute charts use 20-30 period, 4-hour to daily charts use 20-40 period, weekly charts use 20-30 weeks.
ATR Length Parameter:
Controls the lookback period for Average True Range calculation, affecting channel width:
Short ATR Periods (5-10): Very responsive to recent volatility changes, standard is 10 (Keltner's original specification), may be too reactive in whipsaw conditions
Standard ATR Period (10 - Default): Chester Keltner's original specification, good balance between responsiveness and stability, most widely used
Medium ATR Periods (14-20): Smoother channel width, ATR 14 aligns with Wilder's original ATR specification, good for position trading
Long ATR Periods (20+): Very smooth channel width, suitable for long-term trend-following
Length vs. ATR Length Relationship: Equal values (20/20) provide balanced responsiveness, longer ATR (20/14) gives more stable channel width, shorter ATR (20/10) is standard configuration, much shorter ATR (20/5) creates very dynamic channels.
Multiplier Parameter:
Controls channel width by setting ATR multiples:
Lower Values (1.0-1.5): Tighter channels with frequent price touches, more trading signals, higher false signal rate, better for range-bound and mean-reversion strategies
Standard Value (2.0 - Default): Chester Keltner's recommended setting, good balance between signal frequency and reliability, suitable for both trending and ranging strategies
Higher Values (2.5-3.0): Wider channels with less frequent touches, fewer but potentially higher-quality signals, better for strong trending markets
Market-Specific Optimization: High volatility markets (crypto, small-caps) use 2.5-3.0 multiplier, medium volatility markets (major forex, large-caps) use 2.0 multiplier, low volatility markets (bonds, utilities) use 1.5-2.0 multiplier.
MA Type Parameter (Middle Band):
Critical selection that determines trend identification characteristics:
EMA (Exponential Moving Average - Default): Standard Keltner Channel choice, Chester Keltner's original specification, emphasizes recent prices, faster response to trend changes, suitable for all timeframes
SMA (Simple Moving Average): Equal weighting of all data points, no directional bias, slower than EMA, better for ranging markets and mean-reversion
HMA (Hull Moving Average): Minimal lag with smooth output, excellent for fast trend identification, best for day trading and scalping
TEMA (Triple Exponential Moving Average): Advanced smoothing with reduced lag, responsive to trends while filtering noise, suitable for volatile markets
T3 (Tillson T3): Very smooth with minimal lag, excellent for established trend identification, suitable for position trading
KAMA (Kaufman Adaptive Moving Average): Automatically adjusts speed based on market efficiency, slow in ranging markets, fast in trends, suitable for markets with varying conditions
ATR MA Type Parameter:
Determines how Average True Range is smoothed, affecting channel width stability:
RMA (Wilder's Smoothing - Default): J. Welles Wilder's original ATR smoothing method, very smooth, slow to adapt to volatility changes, provides stable channel width
SMA (Simple Moving Average): Equal weighting, moderate smoothness, faster response to volatility changes than RMA, more dynamic channel width
EMA (Exponential Moving Average): Emphasizes recent volatility, quick adaptation to new volatility regimes, very responsive channel width changes
TEMA (Triple Exponential Moving Average): Smooth yet responsive, good balance for varying volatility, suitable for most trading styles
Parameter Combination Strategies:
Conservative Trend-Following: Length 30/ATR Length 20/Multiplier 2.5, MA Type EMA or TEMA/ATR MA Type RMA, smooth trend with stable wide channels, suitable for position trading
Standard Balanced Approach: Length 20/ATR Length 10/Multiplier 2.0, MA Type EMA/ATR MA Type RMA, classic Keltner Channel configuration, suitable for general purpose swing trading
Aggressive Day Trading: Length 10-15/ATR Length 5-7/Multiplier 1.5-2.0, MA Type HMA or EMA/ATR MA Type EMA or SMA, fast trend with dynamic channels, suitable for scalping and day trading
Breakout Specialist: Length 20-30/ATR Length 5-10/Multiplier 2.0, MA Type SMA or WMA/ATR MA Type EMA or SMA, stable trend with responsive channel width
Adaptive All-Conditions: Length 20/ATR Length 10/Multiplier 2.0, MA Type KAMA or FRAMA/ATR MA Type KAMA or TEMA, self-adjusting to market conditions
Offset Parameter:
Controls horizontal positioning of channels on chart. Positive values shift channels to the right (future) for visual projection, negative values shift left (past) for historical analysis, zero (default) aligns with current price bars for real-time signal analysis. Offset affects only visual display, not alert conditions or actual calculations.
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Keltner Channel Enhanced provides improvements over standard implementations while maintaining proven effectiveness.
Response Characteristics:
Standard EMA/RMA Configuration: Moderate trend lag (approximately 0.4 × length periods), smooth and stable channel width from RMA smoothing, good balance for most market conditions
Fast HMA/EMA Configuration: Approximately 60% reduction in trend lag compared to EMA, responsive channel width from EMA ATR smoothing, suitable for quick trend changes and breakouts
Adaptive KAMA/KAMA Configuration: Variable lag based on market efficiency, automatic adjustment to trending vs. ranging conditions, self-optimizing behavior reduces manual intervention
Comparison with Traditional Keltner Channels:
Enhanced Version Advantages:
Dual Algorithm Flexibility: Independent MA selection for trend and volatility vs. fixed EMA/RMA, separate tuning of trend responsiveness and channel stability
Market Adaptation: Choose configurations optimized for specific instruments and conditions, customize for scalping, swing, or position trading preferences
Comprehensive Alerts: Enhanced alert system including channel expansion detection
Traditional Version Advantages:
Simplicity: Fewer parameters, easier to understand and implement
Standardization: Fixed EMA/RMA combination ensures consistency across users
Research Base: Decades of backtesting and research on standard configuration
When to Use Enhanced Version: Trading multiple instruments with different characteristics, switching between trending and ranging markets, employing different strategies, algorithm-based trading systems requiring customization, seeking optimization for specific trading style and timeframe.
When to Use Standard Version: Beginning traders learning Keltner Channel concepts, following published research or trading systems, preferring simplicity and standardization, wanting to avoid optimization and curve-fitting risks.
Performance Across Market Conditions:
Strong Trending Markets: EMA or HMA basis with RMA or TEMA ATR smoothing provides quicker trend identification, pullbacks to basis offer excellent entry opportunities
Choppy/Ranging Markets: SMA or WMA basis with RMA ATR smoothing and lower multipliers, channel bounce strategies work well, avoid false breakouts
Volatile Markets: KAMA or FRAMA with EMA or TEMA, adaptive algorithms excel by automatic adjustment, wider multipliers (2.5-3.0) accommodate large price swings
Low Volatility/Consolidation: Channels narrow significantly indicating consolidation, algorithm choice less impactful, focus on detecting channel width contraction for breakout preparation
Keltner Channel vs. Bollinger Bands - Usage Comparison:
Favor Keltner Channels When: Trend-following is primary strategy, trading volatile instruments with gaps, want ATR-based volatility measurement, prefer fewer higher-quality channel touches, seeking stable channel width during trends.
Favor Bollinger Bands When: Mean-reversion is primary strategy, trading instruments with limited gaps, want statistical framework based on standard deviation, need squeeze patterns for breakout identification, prefer more frequent trading opportunities.
Use Both Together: Bollinger Band squeeze + Keltner Channel breakout is powerful combination, price outside Bollinger Bands but inside Keltner Channels indicates moderate signal, price outside both indicates very strong signal, Bollinger Bands for entries and Keltner Channels for trend confirmation.
Limitations and Considerations:
General Limitations:
Lagging Indicator: All moving averages lag price, even with reduced-lag algorithms
Trend-Dependent: Works best in trending markets, less effective in choppy conditions
No Direction Prediction: Indicates volatility and deviation, not future direction, requires confirmation
Enhanced Version Specific Considerations:
Optimization Risk: More parameters increase risk of curve-fitting historical data
Complexity: Additional choices may overwhelm beginning traders
Backtesting Challenges: Different algorithms produce different historical results
Mitigation Strategies:
Use Confirmation: Combine with momentum indicators (RSI, MACD), volume, or price action
Test Parameter Robustness: Ensure parameters work across range of values, not just optimized ones
Multi-Timeframe Analysis: Confirm signals across different timeframes
Proper Risk Management: Use appropriate position sizing and stops
Start Simple: Begin with standard EMA/RMA before exploring alternatives
Optimal Usage Recommendations:
For Maximum Effectiveness:
Start with standard EMA/RMA configuration to understand classic behavior
Experiment with alternatives on demo account or paper trading
Match algorithm combination to market condition and trading style
Use channel width analysis to identify market phases
Combine with complementary indicators for confirmation
Implement strict risk management using ATR-based position sizing
Focus on high-quality setups rather than trading every signal
Respect the trend: trade with basis direction for higher probability
Complementary Indicators:
RSI or Stochastic: Confirm momentum at channel extremes
MACD: Confirm trend direction and momentum shifts
Volume: Validate breakouts and trend strength
ADX: Measure trend strength, avoid Keltner signals in weak trends
Support/Resistance: Combine with traditional levels for high-probability setups
Bollinger Bands: Use together for enhanced breakout and volatility analysis
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. Keltner Channel Enhanced has limitations and should not be used as the sole basis for trading decisions. While the flexible moving average selection for both trend and volatility components provides valuable adaptability across different market conditions, algorithm performance varies with market conditions, and past characteristics do not guarantee future results.
Key considerations:
Always use multiple forms of analysis and confirmation before entering trades
Backtest any parameter combination thoroughly before live trading
Be aware that optimization can lead to curve-fitting if not done carefully
Start with standard EMA/RMA settings and adjust only when specific conditions warrant
Understand that no moving average algorithm can eliminate lag entirely
Consider market regime (trending, ranging, volatile) when selecting parameters
Use ATR-based position sizing and risk management on every trade
Keltner Channels work best in trending markets, less effective in choppy conditions
Respect the trend direction indicated by price position relative to basis line
The enhanced flexibility of dual algorithm selection provides powerful tools for adaptation but requires responsible use, thorough understanding of how different algorithms behave under various market conditions, and disciplined risk management.
Fibonacci Seviyeleri - ÖzelleştirilebilirFibonacci Levels & Technical Analysis Dashboard
Overview
This Pine Script indicator combines comprehensive Fibonacci level analysis with a technical indicators scoring system, presenting all information in a clean, dual-table layout directly on your TradingView chart.
Key Features
1. Fibonacci Levels Analysis
Daily Fibonacci Levels: Calculates and displays key Fibonacci retracement and extension levels based on the previous day's price range
Weekly Fibonacci Levels: Provides weekly Fibonacci levels for longer-term analysis
Monday Plan Option: Alternative weekly calculation starting from Monday's data
Real-time Updates: All levels update automatically at the start of each new period
2. Technical Indicators Scoring System
The indicator analyzes 7 major technical indicators and provides buy/sell signals:
RSI (Relative Strength Index): Momentum oscillator for overbought/oversold conditions
MACD: Trend-following momentum indicator
Stochastic: Momentum indicator comparing closing price to price range
CCI (Commodity Channel Index): Measures deviation from average price
DMI (Directional Movement Index): Trend strength indicator
OBV (On Balance Volume): Volume-based momentum indicator
Momentum: Rate of price change indicator
3. Visual Components
Chart Lines and Labels
Horizontal lines drawn at each Fibonacci level
Optional price labels showing exact level values
Customizable line styles (solid, dashed, dotted)
Adjustable line thickness and colors
Lines extend to the right for easy tracking
Dual Table Display
Left Table: Fibonacci levels with prices
Right Table: Technical indicators with signals and scoring
Tables can be positioned (top/middle/bottom and left/center/right)
Clean, professional appearance with customizable colors
How to Use
Basic Setup
Add the indicator to your chart
The default settings work well for most trading scenarios
Two tables will appear showing Fibonacci levels and technical signals
Customization Options
Fibonacci Settings
Show Daily/Weekly: Toggle which Fibonacci levels to display
Monday Plan: Enable for weekly levels based on Monday's data
Show Labels: Toggle price labels on chart
Line Styles: Choose between solid, dashed, or dotted lines
Colors: Customize colors for different level types
Technical Indicators
Adjust period settings for each indicator (RSI, MACD, etc.)
Fine-tune sensitivity for better signals on your specific instrument
Display Options
Table Position: Place tables where convenient on your chart
Show/Hide Elements: Toggle individual components as needed
Trading Applications
Fibonacci Level Trading
Support/Resistance: Use Fibonacci levels as potential support and resistance zones
Entry Points: Look for price reactions at key levels (0.236, 0.382, 0.618)
Target Setting: Use extension levels (1.618, 2.618) for profit targets
Stop Loss Placement: Place stops beyond key Fibonacci levels
Signal Interpretation
Strong Buy Signal: Score ≥ 4 (majority of indicators bullish)
Buy Signal: Score between 1 and 3 (lean bullish)
Neutral/Wait: Score = 0 (mixed signals)
Sell Signal: Score between -1 and -3 (lean bearish)
Strong Sell Signal: Score ≤ -4 (majority of indicators bearish)
Combined Analysis
Confluence Trading: Look for technical signals at Fibonacci levels
Confirmation: Use indicator signals to confirm Fibonacci level breaks
Risk Management: Use both systems to validate trade entries and exits
Best Practices
Multiple Timeframes: Compare daily and weekly Fibonacci levels for stronger zones
Volume Confirmation: Pay attention to OBV signals at key levels
Trend Alignment: Use DMI to confirm trend direction before trading levels
Patience: Wait for clear signals rather than forcing trades
Risk Management: Always use stop losses, especially when trading against the signal score
Tips for Optimal Use
Clean Charts: Hide elements you don't need to reduce clutter
Color Coding: Use contrasting colors for better visibility
Regular Monitoring: Check both tables at market open for daily planning
Backtesting: Test the indicator's signals on historical data before live trading
Combine with Price Action: Use candlestick patterns at Fibonacci levels for confirmation
Technical Notes
The indicator updates in real-time with price movements
Fibonacci calculations use traditional ratios (0.236, 0.382, 0.5, 0.618, etc.)
All technical indicators use standard calculation methods
The scoring system weights each indicator equally (1 point per indicator)
Historical levels remain visible for reference until new periods begin
Conclusion
This indicator provides a comprehensive trading dashboard combining classical Fibonacci analysis with modern technical indicators. It's designed for traders who want quick, actionable insights without switching between multiple indicators or performing manual calculations. The dual-table format keeps all essential information visible while maintaining a clean chart appearance.
Whether you're a day trader using daily Fibonacci levels or a swing trader focusing on weekly levels, this indicator adapts to your trading style while providing consistent, reliable technical analysis signals.
[CryptoWho] Master Divergences (6 indicators)Extensive divergence spotting script, including 6 different indicators.
You can choose between RSI, Stoch RSI, MACD, CCI, OBV and WaveTrend (LazyBear) and define your look back period as well as the candle source the indicator should work on.
BITSTAMP:BTCUSD
CEF (Chaos Theory Regime Oscillator)Chaos Theory Regime Oscillator
This script is open to the community.
What is it?
The CEF (Chaos Entropy Fusion) Oscillator is a next-generation "Regime Analysis" tool designed to replace traditional, static momentum indicators like RSI or MACD. Unlike standard oscillators that only look at price changes, CEF analyzes the "character" of the market using concepts from Chaos Theory and Information Theory.
It combines advanced mathematical engines (Hurst Exponent, Entropy, VHF) to determine whether a price movement is a real trend or just random noise. It uses a novel "Adaptive Normalization" technique to solve scaling problems common in advanced indicators, ensuring the oscillator remains sensitive yet stable across all assets (Crypto, Forex, Stocks).
What It Promises:
Intelligent Filtering: Filters out false signals in sideways (volatile) markets using the Hurst Base to measure trend continuity.
Dynamic Adaptation: Automatically adapts to volatility. Thanks to trend memory, it doesn't get stuck at the top during uptrends or at the bottom during downtrends.
No Repainting: All signals are confirmed at the close of the bar. They don't repaint or disappear.
What It Doesn't Promise:
Magic Wand: It's a powerful analytical tool, not a crystal ball. It determines the regime, but risk management is up to the investor.
Late-Free Holy Grail: It deliberately uses advanced correction algorithms (WMA/SMA) to provide stability and filter out noise. Speed is sacrificed for accuracy.
Which Concepts Are Used for Which Purpose?
CEF is built on proven mathematical concepts while creating a unique "Fusion" mechanism. These are not used in their standard forms, but are remixed to create a consensus engine:
Hurst Exponent: Used to measure the "memory" of the time series. Tells the oscillator whether there is a probability of the trend continuing or reversing to the mean.
Vertical Horizontal Filter (VHF): Determines whether the market is in a trend phase or a congestion phase.
Shannon Entropy: Measures the "irregularity" or "unpredictability" of market data to adjust signal sensitivity.
Adaptive Normalization (Key Innovation): Instead of fixed limits, the oscillator dynamically scales itself based on recent historical performance, solving the "flat line" problem seen in other advanced scripts.
Original Methodology and Community Contribution
This algorithm is a custom synthesis of public domain mathematical theories. The author's unique contribution lies in the "Adaptive Normalization Logic" and the custom weighting of Chaos components to filter momentum.
Why Public Domain? Standard indicators (RSI, MACD) were developed for the markets of the 1970s. Modern markets require modern mathematics. This script is presented to the community to demonstrate how Regime Analysis can improve trading decisions compared to static tools.
What Problems Does It Solve?
Problem 1: The "Stagnant Market" Trap
CEF Solution: While the RSI gives false signals in a sideways market, CEF's Hurst/VHF filter suppresses the signal, essentially making the histogram "off" (or weak) during noise.
Problem 2: The "Overbought" Fallacy
CEF Solution: In a strong trend (Pump/Dump), traditional oscillators get stuck at 100 or 0. CEF uses "Trend Memory" to understand that an overbought price is not a reversal signal but a sign of trend strength, and keeps the signal green/red instead of reversing it prematurely. Problem 3: Visual Confusion
CEF Solution: Instead of multiple lines, it presents a single, color-coded histogram featuring only prominent "Smart Circles" at high-probability reversal points.
Automation Ready: Custom Alerts
CEF is designed for both manual trading and automation.
Smart Buy/Sell Circles: Visual signals that only appear when trend filters are aligned with momentum reversals.
Deviation Labels: Automatically detects and labels structural divergences between price and entropy.
Disclaimer: This indicator is for educational purposes only. Past performance does not guarantee future results. Always practice appropriate risk management.
Thuận-Pro Full $$$📘 INDICATOR MANUAL: THUẬN-PRO FINAL
The Ultimate Price Action & Momentum System
1. OVERVIEW
Thuận-Pro Final is an all-in-one trading system designed for precision and safety. It combines Market Structure, Supply/Demand Zones, and Momentum Confluence to identify high-probability trade setups.
2. VISUAL FEATURES
Green Boxes (Support Zones): Strong buying areas.
Red Boxes (Resistance Zones): Strong selling areas.
"BUY" / "SELL" Labels: Instant signals generated when price tests a zone and confirms a rejection.
Purple Lines (Fibonacci Targets): Auto-generated profit targets (1.272, 1.618, 2.618) when price breaks the All-Time High (Blue Sky mode).
Bottom Pane:
RSI + MACD: Color-coded trend strength.
Volume + Yellow Line: Real-time volume analysis vs. EMA 21.
3. HOW TO TRADE (STRATEGY)
🟢 BUY SIGNAL (Long Setup)
Zone: Price drops into a Green Box (Support).
Reaction: Price touches the zone but CLOSES inside or above the box bottom (Valid Rejection/Spring).
Confirmation: A green "BUY" label appears below the candle.
Momentum (Optional): RSI is Oversold (≤ 35) and Volume bar is above the Yellow Line.
🔴 SELL SIGNAL (Short Setup)
Zone: Price rallies into a Red Box (Resistance).
Reaction: Price touches the zone but CLOSES inside or below the box top (Valid Rejection/Upthrust).
Confirmation: A red "SELL" label appears above the candle.
Momentum (Optional): RSI is Overbought (≥ 65) and Volume bar is above the Yellow Line.
4. SMART ALERTS
Set up alerts in TradingView to never miss a move:
Touch Support: Triggered when price tests a Green Zone.
Touch Resistance: Triggered when price tests a Red Zone.
Break High: Trend Reversal (Bearish ➔ Bullish).
Break Low: Trend Reversal (Bullish ➔ Bearish).
5. PRO TIPS
Safe Entry: The indicator filters out "Knife Catching." If a candle closes outside the box (breaking the zone), the signal will NOT appear.
Profit Taking: Use the Purple Fibonacci Lines (1.618) as your primary target when the market breaks new highs.
Stop Loss: Place SL slightly below the Green Box (for Buy) or above the Red Box (for Sell).
Developed by: Nguyen Duc Thuan
Thuận-Pro Full OptionThe Ultimate Price Action & Momentum System
1. OVERVIEW
Thuận-Pro Final is an all-in-one trading system designed for precision and safety. It combines Market Structure, Supply/Demand Zones, and Momentum Confluence to identify high-probability trade setups.
2. VISUAL FEATURES
Green Boxes (Support Zones): Strong buying areas.
Red Boxes (Resistance Zones): Strong selling areas.
"BUY" / "SELL" Labels: Instant signals generated when price tests a zone and confirms a rejection.
Purple Lines (Fibonacci Targets): Auto-generated profit targets (1.272, 1.618, 2.618) when price breaks the All-Time High (Blue Sky mode).
Bottom Pane:
RSI + MACD: Color-coded trend strength.
Volume + Yellow Line: Real-time volume analysis
3. HOW TO TRADE (STRATEGY)
🟢 BUY SIGNAL (Long Setup)
Zone: Price drops into a Green Box (Support).
Reaction: Price touches the zone but CLOSES inside or above the box bottom (Valid Rejection/Spring).
Confirmation: A green "BUY" label appears below the candle.
Momentum (Optional): RSI is Oversold (≤ 35) and Volume bar is above the Yellow Line.
🔴 SELL SIGNAL (Short Setup)
Zone: Price rallies into a Red Box (Resistance).
Reaction: Price touches the zone but CLOSES inside or below the box top (Valid Rejection/Upthrust).
Confirmation: A red "SELL" label appears above the candle.
Momentum (Optional): RSI is Overbought (≥ 65) and Volume bar is above the Yellow Line.
4. SMART ALERTS
Set up alerts in TradingView to never miss a move:
Touch Support: Triggered when price tests a Green Zone.
Touch Resistance: Triggered when price tests a Red Zone.
Break High: Trend Reversal (Bearish ➔ Bullish).
Break Low: Trend Reversal (Bullish ➔ Bearish).
5. PRO TIPS
Safe Entry: The indicator filters out "Knife Catching." If a candle closes outside the box (breaking the zone), the signal will NOT appear.
Profit Taking: Use the Purple Fibonacci Lines (1.618) as your primary target when the market breaks new highs.
Stop Loss: Place SL slightly below the Green Box (for Buy) or above the Red Box (for Sell).
Developed by: Nguyen Duc Thuan
Dual Keltner ChannelsDual Keltner Channels (DKC) Indicator 📊
🔹 About This Indicator
This indicator is an enhanced version of the original Keltner Channel available in TradingView. The Keltner Channel was initially designed as a volatility-based envelope around a moving average, helping traders identify trends, breakouts, and potential reversal zones.
💡 Original Creator: The Keltner Channel concept is based on the work of Chester W. Keltner and was later implemented in various trading platforms, including TradingView’s built-in Keltner Channel indicator.
This script builds upon the TradingView version of the Keltner Channel, adding:
✅ Dual Keltner Bands (Inner & Outer) for better trend and volatility analysis.
✅ Customizable Moving Averages (EMA/SMA) for flexibility.
✅ Multiple Band Calculation Methods (ATR, True Range, Range) for improved accuracy.
✅ Shaded Zones Between the Bands for enhanced visual clarity.
⚡ Credit: This indicator is an enhancement of the original Keltner Channel Indicator in TradingView. All improvements and modifications are made to provide deeper market insights while maintaining the core principles of the original Keltner concept.
🔹 Overview
The Dual Keltner Channels (DKC) indicator overlays two Keltner Channels on the price chart, helping traders spot trends, breakouts, and reversals with greater precision.
Inner Keltner Band (Multiplier 1): Captures normal price movements.
Outer Keltner Band (Multiplier 2): Highlights extreme price movements and potential breakouts.
🔹 Features & Inputs
📌 Main Inputs:
Keltner Channel Length: Defines the lookback period for the moving average calculation.
Source Price: Selects the price type (close, open, high, low) to calculate the bands.
Exponential Moving Average (EMA) Option: Choose between Exponential (EMA) or Simple (SMA) as the basis for calculations.
Bands Style: Selects how the volatility is measured:
Average True Range (ATR) (default)
True Range (TR)
Range (High - Low)
ATR Length: Determines the length of ATR calculations.
Enable Multiplier 1 & 2: Toggle to display/hide inner (multiplier 1) and outer (multiplier 2) bands.
📌 Keltner Channels Calculation:
Moving Average (MA): Uses either EMA or SMA for the midline.
Volatility Band Calculation:
Upper Band 1 (Inner Band): MA + (Multiplier 1 × Volatility Measure)
Lower Band 1 (Inner Band): MA - (Multiplier 1 × Volatility Measure)
Upper Band 2 (Outer Band): MA + (Multiplier 2 × Volatility Measure)
Lower Band 2 (Outer Band): MA - (Multiplier 2 × Volatility Measure)
📌 Visuals & Plotting:
Inner Bands (Multiplier 1): Blue upper & lower lines.
Outer Bands (Multiplier 2): Darker blue upper & lower lines.
Basis Line: White moving average.
Shaded Areas:
Between Upper 1 & Upper 2 (Light Brown Area): Identifies the upper Keltner region.
Between Lower 1 & Lower 2 (Light Brown Area): Identifies the lower Keltner region.
🔹 How to Use the Dual Keltner Channels Indicator
✅ 1. Trend Identification
Price above the upper outer band (Multiplier 2): Strong uptrend – potential continuation.
Price below the lower outer band (Multiplier 2): Strong downtrend – potential continuation.
Price within the inner bands (Multiplier 1): Sideways market – possible consolidation.
✅ 2. Breakout Trading
Break above outer upper band: Indicates a bullish breakout – consider long trades.
Break below outer lower band: Indicates a bearish breakdown – consider short trades.
✅ 3. Overbought & Oversold Conditions
Price touching/exceeding outer bands (Multiplier 2): Potential reversal zones.
Reversal confirmation: Look for candlestick patterns (e.g., Doji, Engulfing) or divergence signals.
✅ 4. Pullback & Entry Zones
Price bouncing from inner bands (Multiplier 1): Good re-entry point in trend direction.
Inner band as support/resistance: Helps in setting stop-loss and profit targets.
🔹 Effective Trading Strategies Using DKC
📌 1. Trend Following Strategy (Using Moving Average & Bands)
✅ Look for price staying above/below the basis line (MA) within the outer bands.
✅ Use pullbacks to the inner bands as re-entry points for trend continuation.
✅ Confirm trend strength with momentum indicators like RSI, MACD.
📌 2. Breakout Trading Strategy
✅ Identify a tight consolidation phase within the inner Keltner bands.
✅ Wait for a strong breakout beyond the outer bands.
✅ Enter long/short trades based on breakout direction.
✅ Place stop-loss at the previous inner band to manage risk.
📌 3. Reversal Strategy (Mean Reversion)
✅ When price extends beyond the outer band (Multiplier 2), look for reversal signals (candlestick patterns, RSI divergence).
✅ Enter counter-trend trades with tight stop-loss beyond the band.
✅ Target the moving average (basis line) as take-profit.
🔹 Final Thoughts 💡
The Dual Keltner Channels (DKC) is a powerful upgrade to the standard Keltner Channel, providing:
✅ Greater clarity on trend strength
✅ More precise breakout & reversal signals
✅ Better visual insights for dynamic market conditions
📌 Best Used With: RSI, MACD, Volume Profile, Price Action Signals.
📌 Works on: Stocks, Forex, Crypto, Commodities, Indices.
SMI Ergodic Indicator + OscillatorThis indicator is one that I came across a while ago. The main way this indicator works is a lot like the True Strength Index except it also adds a signal line. I like to think of it as a faster MACD that gives you a chance to lag a little less behind the MACD. This of course comes with the additional risk of fake-outs being prevalent. The signal line in the indicator allows you to use the EMA in the indicator itself and adds another indicator that it's either going to do a reversal or confirm trend.
In the indicator I created it has the Oversold and Overbought areas highlighted to show the oscillators function as kind of an RSI + MACD indicator. There is also added crossing alerts in the form of circles (or whatever you want to change it to) indicating a cross of the SMI line and the Signal EMA line. This is usually the point where you want to make an entrance or exit point. The Overbought and Oversold zones are adjustable to wherever you as a trader feel comfortable having them be.
I also combined bother the SMI and Signal line with the SMI Oscillator adding a histogram.
Money Machine God MAThis is intended for cryptocurrencies.
Top Down
BB, RSI, MACD
The dark green nand pink are bollinger bands. When the green line (RSI) crosses them becareful. When the green line crosses the red line then you have a buy signal. The white line is the MACD. A sell signal is when the green line is below the white line. You can use this for exploding coins at 1 and 3 minutes.
MA
These are moving averages, 7 21 77 and 231. When the green line is above the white, orange, and red then you have a buy signal. The green line is the most important. You can get a buy signal once green is above red for shorter plays.
Ichimoku
Cyan line above orange line also known as TK cross is a buy signal. Cloud breakout is when the price is above the cloud. The 20 60 120 30 allows for less false positives.
Ichimoku on steroids
Once the cyan line crosses the middle cyan line or the 0 value, then that is a buy signal.
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。
chanlun缠论 - 笔与中枢Overview
The Chanlun (缠论) Strokes & Central Zones indicator is an advanced technical analysis tool based on Chinese Chan Theory (Chanlun Theory). It automatically identifies market structure through "strokes" (笔) and "central hubs" (中枢), providing traders with a systematic framework for understanding price movements, trend structure, and potential reversal zones.
Theoretical Foundation
Chan Theory is a sophisticated price action methodology that breaks down market movements into hierarchical structures:
Local Extremes: Swing highs and lows identified through lookback periods
Strokes (笔): Valid price movements between opposite extremes that meet specific criteria
Central Hubs (中枢): Consolidation zones formed by overlapping strokes, representing key support/resistance areas
Key Components
1. Local Extreme Detection
Identifies swing highs and lows using a configurable lookback period (default: 5 bars)
Only considers extremes within the specified calculation range
Forms the foundation for stroke construction
2. Stroke (笔) Identification
The indicator applies a multi-stage filtering process to identify valid strokes:
Stage 1 - Extreme Consolidation:
Merges consecutive extremes of the same type (high or low)
Keeps only the most extreme value (highest high or lowest low)
Stage 2 - Stroke Validation:
Ensures minimum bar gap between strokes (default: 4 bars)
Alternative validation: 2+ bars with >1% price change
Eliminates noise and insignificant price movements
Color Coding:
White Lines: Regular up/down strokes
Yellow Lines: Strokes that form part of a central hub
Customizable width and colors for different stroke types
3. Central Hub (中枢) Formation
A central hub forms when at least 3 consecutive strokes have overlapping price ranges:
Formation Rules:
Stroke 1:
Stroke 2:
Stroke 3:
Hub Upper = MIN(High1, High2, High3)
Hub Lower = MAX(Low1, Low2, Low3)
Valid if: Hub Upper > Hub Lower
Hub Extension:
Subsequent strokes that overlap with the hub extend it
Hub ends when a stroke no longer overlaps
Creates rectangular zones on the chart
Visual Representation:
Green rectangular boxes: Mark the time and price range of each central hub
Dashed extension lines: Show the latest hub boundaries extending to the right
Price labels on axis: Display exact hub upper and lower boundary values
4. Extreme Point Markers (Optional)
Red markers for tops (▼)
Green markers for bottoms (▲)
Marks every validated stroke extreme point
Useful for detailed structure analysis
5. Information Table (Optional)
Displays real-time statistics:
Symbol name
Current timeframe
Lookback period setting
Minimum gap setting
Total stroke count
Parameter Settings
Performance Settings
Max Bars to Calculate (3600): Limits historical calculation to improve performance
Local Extreme Lookback Period (5): Bars used to identify swing highs/lows
Min Gap Bars (4): Minimum bars required between valid strokes
Display Settings
Show Strokes: Toggle stroke line visibility
Show Central Hub: Toggle hub box visibility
Show Hub Extension Lines: Toggle dashed boundary lines
Show Extreme Point Marks: Toggle top/bottom markers
Show Info Table: Toggle statistics table
Color Settings
Full customization of:
Up/down stroke colors and widths
Hub stroke colors and widths
Hub border and background colors
Extension line colors
Trading Applications
Trend Structure Analysis
Uptrend: Series of higher highs and higher lows connected by strokes
Downtrend: Series of lower highs and lower lows connected by strokes
Consolidation: Formation of central hubs indicating range-bound movement
Support and Resistance Identification
Central Hub Zones: Act as strong support/resistance areas
Hub Upper Boundary: Resistance level in consolidation, support after breakout
Hub Lower Boundary: Support level in consolidation, resistance after breakdown
Price tends to react at these levels due to market structure memory
Breakout Trading
Bullish Breakout: Price closes above hub upper boundary
Previous resistance becomes support
Entry on retest of upper boundary
Stop loss below hub zone
Bearish Breakdown: Price closes below hub lower boundary
Previous support becomes resistance
Entry on retest of lower boundary
Stop loss above hub zone
Reversal Detection
Hub Formation After Trend: Signals potential trend exhaustion
Multiple Hub Levels: Create probability zones for reversals
Stroke Count: Excessive strokes within hub suggest weakening momentum
Position Management
Use hub boundaries for stop loss placement
Scale out positions at hub edges
Re-enter on retests of broken hub levels
Interpretation Guide
Strong Trending Market
Long, clear strokes with minimal overlap
Few or no central hubs forming
Strokes consistently in same direction
Wide spacing between extremes
Consolidating Market
Multiple central hubs forming
Short, overlapping strokes
Yellow hub strokes dominate the chart
Narrow price range
Trend Transition
Hub formation after extended trend
Stroke direction changes frequently
Hub boundaries being tested repeatedly
Potential reversal zone
Advanced Usage Techniques
Multi-Timeframe Analysis
Higher Timeframe: Identify major hub zones for overall market structure
Lower Timeframe: Find precise entry points within larger structure
Alignment: Trade when lower timeframe strokes align with higher timeframe hub breaks
Hub Quality Assessment
Wide Hubs: Strong consolidation, higher probability support/resistance
Narrow Hubs: Weak consolidation, may break easily
Extended Hubs: More strokes = stronger zone
Isolated Hubs: Single hub = potential pivot point
Stroke Analysis
Stroke Length: Longer strokes = stronger momentum
Stroke Speed: Fewer bars per stroke = explosive moves
Stroke Clustering: Many short strokes = indecision
Best Practices
Parameter Optimization
Adjust lookback period based on timeframe and volatility
Lower periods (3-4): More strokes, more noise, faster signals
Higher periods (7-10): Fewer strokes, cleaner structure, slower signals
Confirmation Strategy
Don't trade on strokes alone
Combine with volume analysis
Use candlestick patterns at hub boundaries
Wait for breakout confirmation
Risk Management
Always place stops outside hub zones
Use hub width to size positions (wider hub = smaller position)
Exit if price re-enters broken hub from wrong direction
Avoid Common Pitfalls
Don't trade within central hubs (range-bound, unpredictable)
Don't ignore higher timeframe hub structures
Don't chase strokes after they've extended far from hub
Don't trust single-stroke hubs (need 3+ strokes for validity)
Performance Considerations
Max Bars Limit: Set to 3600 to balance detail with performance
Safe Distance Calculation: Only draws objects within 2000 bars of current price
Object Cleanup: Automatically removes old drawing objects to prevent memory issues
Efficient Arrays: Uses indexed arrays for fast lookup and processing
Ideal Market Conditions
Best Performance:
Liquid markets with clear structure (major forex pairs, indices, large-cap stocks)
Trending markets with periodic consolidations
Medium to high volatility for clear stroke formation
Less Effective:
Extremely choppy, directionless markets
Very low timeframes (< 5 minutes) with excessive noise
Illiquid instruments with erratic price action
Integration with Other Indicators
Complementary Tools:
Volume Profile: Confirm hub significance with volume nodes
Moving Averages: Use for trend bias within stroke structure
RSI/MACD: Momentum confirmation at hub boundaries
Fibonacci Retracements: Hub levels often align with Fib levels
Advantages
✓ Objective Structure: Removes subjectivity from market structure analysis
✓ Visual Clarity: Color-coded strokes and clear hub zones
✓ Multi-Timeframe Applicable: Works on all timeframes from minutes to months
✓ Complete Framework: Provides entry, exit, and risk management levels
✓ Theoretical Foundation: Based on proven Chan Theory methodology
✓ Customizable: Extensive parameter and visual customization options
Limitations
⚠ Learning Curve: Requires understanding of Chan Theory principles
⚠ Lag Factor: Strokes confirm after price movements complete
⚠ Parameter Sensitivity: Different settings produce significantly different results
⚠ Choppy Market Struggles: Can generate excessive hubs in range-bound conditions
⚠ Computation Intensive: May slow down on lower-end systems with max bars setting
Optimization Tips
Timeframe Selection
Scalping: 5-15 minute charts, lookback period 3-4
Day Trading: 15-60 minute charts, lookback period 4-5
Swing Trading: 4-hour to daily charts, lookback period 5-7
Position Trading: Daily to weekly charts, lookback period 7-10
Volatility Adjustment
High volatility: Increase minimum gap bars to reduce noise
Low volatility: Decrease lookback period to capture smaller moves
Visual Optimization
Use contrasting colors for different market conditions
Adjust line widths based on chart resolution
Toggle markers off for cleaner appearance once familiar with structure
Quick Start Guide
For Beginners:
Start with default settings (5 lookback, 4 min gap)
Enable "Show Info Table" to track stroke count
Focus on identifying clear hub formations
Practice waiting for price to break hub boundaries before trading
For Advanced Users:
Optimize lookback and gap parameters for your instrument
Use hub strokes (yellow) to identify key consolidation zones
Combine with multiple timeframes for confirmation
Develop entry rules based on hub breakout/retest patterns
This indicator provides a complete structural framework for understanding market behavior through the lens of Chan Theory, offering traders a systematic approach to identifying high-probability trading opportunities.
Clock&Flow – Market Pulse IndicatorClock&Flow – Market Pulse Indicator
1) General Purpose
The Market Pulse Indicator is designed to visualize the strength and direction of market flow in a clear, intuitive way.
Unlike common volume or momentum indicators, it blends three essential dimensions — price velocity, normalized volume, and volatility (ATR) — to highlight when market pressure is truly meaningful.
It helps identify genuine liquidity inflows/outflows, potential exhaustion zones, and moments of compression or expansion within the price structure.
2) Data Sources
All data is directly taken from the current chart’s feed on TradingView:
Price (close): to measure relative price change.
Volume: to detect the intensity of market participation (normalized to average).
ATR (Average True Range): to evaluate volatility relative to price levels.
No external data or off-platform sources are used.
3) Logic and Calculation Steps
Price Velocity: calculates the percentage change between the current close and the close N bars ago.
priceChange = (close - close ) / close
Normalized Volume: compares current volume to its moving average over the same period.
volNorm = volume / sma(volume, length)
Normalized Volatility: ATR divided by price to adjust for instrument scale.
atrNorm = atr(length) / close
Combination : multiplies the three components into one raw value that represents market pulse intensity.
rawPulse = priceChange * volNorm * (1 + atrNorm)
Smoothing: a moving average (smoothLen) is applied to create a cleaner and more readable oscillator line.
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parameters (Default Settings)
length (20): analysis period for price change, volume, and ATR.
smoothLen (5): smoothing factor; higher values reduce noise.
multiplier (100): scales the output for readability; adjust to fit chart scale.
5) How to Read the Indicator
Market Pulse > 0 (green): net inflow of liquidity; buying pressure dominates.
Market Pulse < 0 (red): net outflow of liquidity; selling pressure dominates.
Near 0: neutral phase; market balance or consolidation.
Sudden peaks: strong bursts of flow — often coincide with news releases or session overlaps.
Confirmations: use as a second-level filter before entering trades or to confirm momentum behind a breakout.
6) Divergences
Divergences between price and Market Pulse are key signals of weakening flow strength:
Bullish divergence: price forms lower lows while Market Pulse forms higher lows → selling pressure is fading; potential reversal or bounce.
Bearish divergence: price forms higher highs while Market Pulse fails to confirm → buying momentum is losing strength; potential correction ahead.
For reliability, look for divergences on higher timeframes (H4, Daily).
On lower timeframes, treat them as early warnings.
7) Typical Use Cases
Breakout confirmation: price breaks resistance with a rising Market Pulse → confirms genuine participation.
False signal filter: price breaks a level but Market Pulse remains flat/negative → likely fake breakout.
Pullback entry: after a breakout, wait for a short retracement and a new positive pulse → safer entry point.
Exit signal: if you’re long and Market Pulse suddenly turns negative with strong volume → consider partial exit or tighter stops.
8) Recommended Timeframes
Intraday / Scalping: 5–30 min charts with length 10–14, smoothLen 3–5.
Swing trading: 1h–4h charts with length 20–50.
Position trading: Daily charts with larger length (50–100) for smoother data.
Always optimize parameters to the specific asset — there are no universal settings.
9) Limitations
This indicator is not a trading system — it’s a decision-support tool.
Results depend on the quality of the volume data available for the symbol.
Performance and sensitivity are influenced by length, smoothing, and multiplier values — always test before live trading.
Use alongside sound risk and money management.
10) Disclaimer
This script is provided for educational purposes only and does not constitute financial advice.
Trading and investing involve significant risk, including the potential loss of capital.
Always test indicators in simulation environments and make independent decisions based on your own analysis and risk tolerance.
Italiano
1) Scopo generale
Flow Pulse è un oscillatore pensato per visualizzare la forza e la direzione del flusso di mercato in modo immediato. Non è un semplice indicatore di volume né una copia di RSI/MACD: combina tre dimensioni fondamentali — variazione di prezzo, volume normalizzato e volatilità — per mettere in evidenza i momenti in cui la pressione dei partecipanti è realmente significativa.
È ideale per identificare: entrate guidate da flussi reali, potenziali esaurimenti, momenti di compressione/espansione del movimento e segnali di conferma per breakout o rimbalzi.
2) Dati utilizzati
L’indicatore usa esclusivamente dati disponibili sulla piattaforma TradingView del grafico corrente:
price (close) — per calcolare la variazione percentuale del prezzo;
volume per misurare l’intensità degli scambi (normalizzato su media);
ATR (Average True Range) — per normalizzare la volatilità rispetto al prezzo;
Tutti i feed (prezzo e volume) sono quelli forniti dall’exchange/fornitore dati collegato al simbolo sul grafico.
3) Logica e passaggi di calcolo
Velocità del prezzo: calcolo della variazione percentuale tra la chiusura corrente e la chiusura N barre fa:
priceChange = (close - close ) / close
— misura la direzione e magnitudine del movimento in termine relativo.
Volume normalizzato: rapporto tra il volume corrente e la media mobile semplice del volume su length barre:
volNorm = volume / sma(volume, length)
— evidenzia volumi anomali rispetto alla media.
Volatilità normalizzata (ATR): rapporto ATR/close per rendere la volatilità comparabile across price levels:
atrNorm = atr(length) / close
Combinazione: il prodotto di questi fattori (con un piccolo offset su ATR) genera un valore grezzo:
rawPulse = priceChange * volNorm * (1 + atrNorm)
— se priceChange e volNorm sono positivi e l’ATR è presente, il rawPulse sarà significativamente positivo.
Smoothing: media mobile semplice (SMA) applicata al rawPulse e moltiplicazione per un fattore scalare (multiplier) per portare il range su livelli leggibili:
flowPulse = sma(rawPulse * multiplier, smoothLen)
4) Parametri esposti (default consigliati)
length (periodo analisi) — default 20: influenza calcolo Δ% e media volumi; allunga la finestra storica.
smoothLen (smussamento) — default 5: smoothing del segnale per ridurre rumore.
multiplier — default 100: fattore di scala per rendere l’oscillatore più leggibile.
5) Interpretazione pratica dei valori
FlowPulse > 0 (verde): predominanza di flusso d’ingresso — pressione d’acquisto. Maggiore il valore, più forte la convinzione (volume + movimento + volatilità).
FlowPulse < 0 (rosso): predominanza di flusso in uscita — pressione di vendita.
Vicino a 0: assenza di flussi netti chiari; mercato piatto o bilanciato.
Picchi repentini: indicano accelerate di flusso — spesso coincidono con rotture, open/close session, news.
Sostegno al trade: usa FlowPulse come conferma prima di entrare su breakout o come avviso di attenzione su esaurimenti.
6) Divergenze (come leggerle)
Le divergenze tra prezzo e FlowPulse sono segnali importanti:
Divergenza rialzista (bullish divergence): prezzo fa nuovi minimi mentre FlowPulse non fa nuovi minimi (o forma minimo relativo più alto) → indica che la spinta di vendita non è supportata da volume/volatilità, possibile inversione/rimbalzo.
Divergenza ribassista (bearish divergence): prezzo fa nuovi massimi mentre FlowPulse non li conferma (o forma massimo relativo più basso) → la spinta d’acquisto è “debole”, possibile esaurimento e inversione.
Note pratiche: cercare divergenze su timeframe maggiori (H4, D) per maggiore attendibilità; sui timeframe minori prendere solo come early warning.
7) Esempi d’uso operativo
Conferma breakout: prezzo rompe resistenza + FlowPulse positivo e crescente → breakout più probabile e con volumi reali.
Filtro per falsi segnali: prezzo rompe ma FlowPulse è piatto/negativo → alto rischio di false breakout.
Entrata per pullback: dopo breakout, attendere un pullback con FlowPulse che torna positivo → ingresso più prudente.
Gestione delle uscite: se sei long e FlowPulse improvvisamente si inverte in negativo su volumi elevati → considerare riduzione posizione o stop.
8) Timeframe consigliati
Intraday / Scalping: M5–M30 con length ridotto (es. 10–14) e smoothLen piccolo.
Swing trading: H1–H4 con length 20–50.
Position trading: D1 con length maggiore per filtrare rumore.
Testa i parametri sul tuo asset e timeframe; nessun parametro è universale.
9) Limitazioni e avvertenze
L’indicatore non è un sistema di trading completo: è un tool di informazione e timing.
Dipende dalla qualità dei dati di volume del simbolo: su alcuni titoli/mercati (es. alcuni ETF, Forex su certi broker) il volume può essere parziale o non rappresentativo.
I valori di margine/multiplier e smoothing influenzano sensibilmente sensibilità e falsi segnali: backtest e ottimizzazione sono raccomandati.
Non usare il solo FlowPulse per entrare su leva elevata senza gestione del rischio12) Disclaimer da inserire
Disclaimer: Questo indicatore è fornito solo a scopo didattico e non costituisce consulenza finanziaria. L’uso comporta rischi: valuta sempre la gestione del rischio e testa su conto demo prima dell’applicazione in reale.
Volume-Weighted RSI & Multi-Normalized MACD### Description for Publishing: Volume-Weighted RSI & Multi-Normalized MACD
**Overview**
The "Volume-Weighted RSI & Multi-Normalized MACD" indicator is a powerful and versatile tool designed for traders seeking enhanced momentum and trend analysis. Combining a volume-weighted Relative Strength Index (VW-RSI) with a customizable Moving Average Convergence Divergence (MACD) featuring multiple normalization methods, this indicator provides deep insights into market dynamics. It supports multi-timeframe (MTF) analysis and includes an optional stepped plotting mode for discrete signal visualization, making it ideal for both trend-following and mean-reversion strategies across various markets (stocks, forex, crypto, etc.).
**Key Features**
1. **Volume-Weighted RSI (VW-RSI)**:
- A modified RSI that incorporates trading volume for greater sensitivity to market activity.
- Normalized to a user-defined range (default: -50 to +50) for consistent analysis.
- Optional smoothing with multiple moving average types (SMA, EMA, WMA, VWMA, SMMA, or SMA with Bollinger Bands) to reduce noise and highlight trends.
- Overbought (+20) and oversold (-20) levels for quick reference.
2. **Multi-Normalized MACD**:
- Offers six normalization methods for MACD, allowing traders to tailor the output to their strategy:
- Normalized Volume Weighted MACD (unbounded).
- Min-Max Normalization (bounded).
- Volatility Normalization (unbounded, volatility-adjusted).
- Volatility Normalization with Min-Max (bounded).
- Hyperbolic Tangent Normalization (bounded).
- Arctangent Normalization (bounded).
- Min-Max with Smoothing (bounded).
- All bounded methods scale to the user-defined range (default: -50 to +50), ensuring comparability with VW-RSI.
- Dynamic color changes for MACD line (lime/red) and histogram (aqua/blue/red/maroon) based on momentum and signal line crosses.
3. **Stepped Plotting Mode**:
- Optional mode to plot RSI and MACD as discrete, stepped lines, reducing noise by only updating when values change significantly (configurable thresholds).
- Ideal for traders focusing on clear, actionable signal changes.
4. **Multi-Timeframe Support**:
- Configurable timeframe input (default: chart timeframe) for analyzing RSI and MACD on higher or lower timeframes, enhancing cross-timeframe strategies.
5. **Customizable Display**:
- Toggle options to show/hide MACD line, signal line, histogram, and cross dots.
- Bollinger Bands for RSI smoothing (optional) with adjustable standard deviation multiplier.
- Clear visual cues with horizontal lines for overbought/oversold levels, midline, and MACD bounds.
**Usage Instructions**
1. **Add to Chart**: Apply the indicator to any symbol (e.g., BTCUSD, SPY) on any timeframe (1H, 1D, etc.).
2. **Configure Settings**:
- **General**: Adjust `Lower Bound` (-50 default) and `Upper Bound` (+50 default) for the output range. Set `Timeframe` for MTF analysis. Enable `Stepped?` for discrete plotting.
- **RSI**: Choose `Price Source` (default: ohlc4), `RSI Length` (default: 9), and smoothing options (e.g., EMA, Bollinger Bands). Adjust `RSI Diff Threshold` for stepped mode.
- **MACD**: Select `Price Source`, `Fast Length` (9), `Slow Length` (21), `Signal Length` (9), and a normalization method (default: Volatility Min-Max). Adjust `MACD Diff Threshold` for stepped mode.
- **Display Options**: Toggle MACD components and histogram colors for clarity.
3. **Interpretation**:
- **VW-RSI**: Watch for crosses above +20 (overbought) or below -20 (oversold) for potential reversals. Use smoothed RSI or Bollinger Bands for trend confirmation.
- **MACD**: Look for MACD/Signal line crosses (dots indicate crossings) and histogram changes for momentum shifts. Bounded normalizations align with RSI for unified analysis.
- **Stepped Mode**: Focus on significant changes in RSI/MACD for clearer signals.
4. **Companion Overlay**: For visualization on the main price chart, use the companion script "VW-RSI & MACD Price Overlay" (available separately, requires this script to be published). It plots RSI and MACD as price-scaled echo lines, with toggles to show/hide and customizable scaling (high/low or ATR).
**Who Is This For?**
- **Trend Traders**: Use MACD normalizations and MTF to identify momentum shifts across timeframes.
- **Mean-Reversion Traders**: Leverage VW-RSI’s overbought/oversold signals for entry/exit points.
- **Technical Analysts**: Customize normalization and smoothing to match specific market conditions.
- **All Markets**: Works on stocks, forex, cryptocurrencies, and more, with any timeframe.
**Notes**
- Unbounded MACD normalizations (`enable_nvw`, `enable_vol`) may produce values outside -50/+50, suitable for volatility-focused strategies.
- For price chart overlay, publish this script and use its ID in the companion script’s `request.security` call.
- Adjust scaling inputs in the companion script for optimal visualization on volatile or stable assets.
**Author’s Note**
Developed by NEPOLIX, this indicator combines volume-weighted precision with flexible normalization for robust technical analysis. Feedback and suggestions are welcome to enhance future versions!
MACD OB-OS SLOcryptoMACD OB-OS SLOcrypto
Description:
Uncover hidden opportunities within market trends using the RSI-MACD Trend Pullback Indicator. Crafted to aid traders in identifying potential pullbacks within established trends, this indicator combines the strength of the Relative Strength Index (RSI) and the Moving Average Convergence Divergence (MACD).
Key Features:
RSI Component:
The RSI, a momentum oscillator, is employed to spot potential pullbacks within an existing trend. In an uptrend, observe the RSI crossing below the oversold level (e.g., 30). This suggests a temporary weakening of the trend, presenting an opportunity for a pullback.
MACD Component:
The MACD, derived from moving averages, complements the RSI signals. In an uptrend, traders monitor the MACD crossing below the oversold level, aligning with the RSI signal. This convergence indicates a potential pullback within the ongoing trend.
How to Use:
Uptrend (Pullback Opportunity):
As the market displays a clear uptrend, observe the RSI for a crossover below the oversold level (e.g., 30).
Confirm the pullback signal with the MACD crossing below the oversold level.
Consider entering buy positions, leveraging the pullback within the overall uptrend.
Downtrend (Pullback Opportunity):
In a downtrend, watch for the RSI to cross above the overbought level (e.g., 70).
Confirm the pullback signal with the MACD crossing above the overbought level.
This alignment signals a potential pullback within the prevailing downtrend, offering a chance to enter short positions.
Risk Management:
Implement effective risk management strategies, including the use of stop-loss orders, to safeguard trades.
Use additional analysis and combine indicators for a well-rounded trading strategy.
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Description:
The MACD OB-OS SLOcrypto indicator combines two popular technical analysis tools, the Smooth RSI (Relative Strength Index) and the MACD (Moving Average Convergence Divergence), to provide a comprehensive view of potential market trends and reversal points.
Components:
Smooth RSI:
Parameters: Length (14), Fast Length (5), Slow Length (10), Smoothing (15)
The Smooth RSI is a modified version of the Relative Strength Index (RSI), a momentum oscillator that measures the speed and change of price movements. It is smoothed using a combination of fast and slow moving averages.
MACD Using RSI as the Source:
Parameters: Fast Length (12), Slow Length (26), Signal Smoothing (9)
The MACD is calculated using the RSI as the source. It employs user-defined fast and slow lengths and a signal line for smoothing. The MACD values are then scaled and adjusted to start from 50, allowing for better visualization.
Additional Features:
Overbought and Oversold Levels: The indicator marks overbought (80) and oversold (20) levels for the RSI, providing potential reversal points.
Dynamic Moving Average Types: Users can choose from various moving average types (SMA, EMA, WMA, VWMA, HMA) for both the RSI and MACD calculations.
Adjustable Parameters: Users can customize parameters such as MACD multiplication factor, overbought/oversold levels, and moving average types to suit their trading preferences.
Usage:
Trend Identification: The MACD component helps identify potential trend changes and crossovers, while the Smooth RSI provides insights into overbought and oversold conditions.
Reversal Signals: Traders may look for signals when the MACD crosses above the overbought level or below the oversold level, potentially indicating reversal points.
Note: Always consider multiple indicators and market conditions before making trading decisions. This indicator serves as a tool for technical analysis and should be used in conjunction with other methods.
GKD-C Super 6x [Loxx]Giga Kaleidoscope GKD-C Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity is a Confirmation module included in Loxx's "Giga Kaleidoscope Modularized Trading System".
█ Giga Kaleidoscope Modularized Trading System
What is Loxx's "Giga Kaleidoscope Modularized Trading System"?
The Giga Kaleidoscope Modularized Trading System is a trading system built on the philosophy of the NNFX (No Nonsense Forex) algorithmic trading.
What is the NNFX algorithmic trading strategy?
The NNFX (No-Nonsense Forex) trading system is a comprehensive approach to Forex trading that is designed to simplify the process and remove the confusion and complexity that often surrounds trading. The system was developed by a Forex trader who goes by the pseudonym "VP" and has gained a significant following in the Forex community.
The NNFX trading system is based on a set of rules and guidelines that help traders make objective and informed decisions. These rules cover all aspects of trading, including market analysis, trade entry, stop loss placement, and trade management.
Here are the main components of the NNFX trading system:
1. Trading Philosophy: The NNFX trading system is based on the idea that successful trading requires a comprehensive understanding of the market, objective analysis, and strict risk management. The system aims to remove subjective elements from trading and focuses on objective rules and guidelines.
2. Technical Analysis: The NNFX trading system relies heavily on technical analysis and uses a range of indicators to identify high-probability trading opportunities. The system uses a combination of trend-following and mean-reverting strategies to identify trades.
3. Market Structure: The NNFX trading system emphasizes the importance of understanding the market structure, including price action, support and resistance levels, and market cycles. The system uses a range of tools to identify the market structure, including trend lines, channels, and moving averages.
4. Trade Entry: The NNFX trading system has strict rules for trade entry. The system uses a combination of technical indicators to identify high-probability trades, and traders must meet specific criteria to enter a trade.
5. Stop Loss Placement: The NNFX trading system places a significant emphasis on risk management and requires traders to place a stop loss order on every trade. The system uses a combination of technical analysis and market structure to determine the appropriate stop loss level.
6. Trade Management: The NNFX trading system has specific rules for managing open trades. The system aims to minimize risk and maximize profit by using a combination of trailing stops, take profit levels, and position sizing.
Overall, the NNFX trading system is designed to be a straightforward and easy-to-follow approach to Forex trading that can be applied by traders of all skill levels.
Core components of an NNFX algorithmic trading strategy
The NNFX algorithm is built on the principles of trend, momentum, and volatility. There are six core components in the NNFX trading algorithm:
1. Volatility - price volatility; e.g., Average True Range, True Range Double, Close-to-Close, etc.
2. Baseline - a moving average to identify price trend
3. Confirmation 1 - a technical indicator used to identify trends
4. Confirmation 2 - a technical indicator used to identify trends
5. Continuation - a technical indicator used to identify trends
6. Volatility/Volume - a technical indicator used to identify volatility/volume breakouts/breakdown
7. Exit - a technical indicator used to determine when a trend is exhausted
What is Volatility in the NNFX trading system?
In the NNFX (No Nonsense Forex) trading system, ATR (Average True Range) is typically used to measure the volatility of an asset. It is used as a part of the system to help determine the appropriate stop loss and take profit levels for a trade. ATR is calculated by taking the average of the true range values over a specified period.
True range is calculated as the maximum of the following values:
-Current high minus the current low
-Absolute value of the current high minus the previous close
-Absolute value of the current low minus the previous close
ATR is a dynamic indicator that changes with changes in volatility. As volatility increases, the value of ATR increases, and as volatility decreases, the value of ATR decreases. By using ATR in NNFX system, traders can adjust their stop loss and take profit levels according to the volatility of the asset being traded. This helps to ensure that the trade is given enough room to move, while also minimizing potential losses.
Other types of volatility include True Range Double (TRD), Close-to-Close, and Garman-Klass
What is a Baseline indicator?
The baseline is essentially a moving average, and is used to determine the overall direction of the market.
The baseline in the NNFX system is used to filter out trades that are not in line with the long-term trend of the market. The baseline is plotted on the chart along with other indicators, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR).
Trades are only taken when the price is in the same direction as the baseline. For example, if the baseline is sloping upwards, only long trades are taken, and if the baseline is sloping downwards, only short trades are taken. This approach helps to ensure that trades are in line with the overall trend of the market, and reduces the risk of entering trades that are likely to fail.
By using a baseline in the NNFX system, traders can have a clear reference point for determining the overall trend of the market, and can make more informed trading decisions. The baseline helps to filter out noise and false signals, and ensures that trades are taken in the direction of the long-term trend.
What is a Confirmation indicator?
Confirmation indicators are technical indicators that are used to confirm the signals generated by primary indicators. Primary indicators are the core indicators used in the NNFX system, such as the Average True Range (ATR), the Moving Average (MA), and the Relative Strength Index (RSI).
The purpose of the confirmation indicators is to reduce false signals and improve the accuracy of the trading system. They are designed to confirm the signals generated by the primary indicators by providing additional information about the strength and direction of the trend.
Some examples of confirmation indicators that may be used in the NNFX system include the Bollinger Bands, the MACD (Moving Average Convergence Divergence), and the MACD Oscillator. These indicators can provide information about the volatility, momentum, and trend strength of the market, and can be used to confirm the signals generated by the primary indicators.
In the NNFX system, confirmation indicators are used in combination with primary indicators and other filters to create a trading system that is robust and reliable. By using multiple indicators to confirm trading signals, the system aims to reduce the risk of false signals and improve the overall profitability of the trades.
What is a Continuation indicator?
In the NNFX (No Nonsense Forex) trading system, a continuation indicator is a technical indicator that is used to confirm a current trend and predict that the trend is likely to continue in the same direction. A continuation indicator is typically used in conjunction with other indicators in the system, such as a baseline indicator, to provide a comprehensive trading strategy.
What is a Volatility/Volume indicator?
Volume indicators, such as the On Balance Volume (OBV), the Chaikin Money Flow (CMF), or the Volume Price Trend (VPT), are used to measure the amount of buying and selling activity in a market. They are based on the trading volume of the market, and can provide information about the strength of the trend. In the NNFX system, volume indicators are used to confirm trading signals generated by the Moving Average and the Relative Strength Index. Volatility indicators include Average Direction Index, Waddah Attar, and Volatility Ratio. In the NNFX trading system, volatility is a proxy for volume and vice versa.
By using volume indicators as confirmation tools, the NNFX trading system aims to reduce the risk of false signals and improve the overall profitability of trades. These indicators can provide additional information about the market that is not captured by the primary indicators, and can help traders to make more informed trading decisions. In addition, volume indicators can be used to identify potential changes in market trends and to confirm the strength of price movements.
What is an Exit indicator?
The exit indicator is used in conjunction with other indicators in the system, such as the Moving Average (MA), the Relative Strength Index (RSI), and the Average True Range (ATR), to provide a comprehensive trading strategy.
The exit indicator in the NNFX system can be any technical indicator that is deemed effective at identifying optimal exit points. Examples of exit indicators that are commonly used include the Parabolic SAR, the Average Directional Index (ADX), and the Chandelier Exit.
The purpose of the exit indicator is to identify when a trend is likely to reverse or when the market conditions have changed, signaling the need to exit a trade. By using an exit indicator, traders can manage their risk and prevent significant losses.
In the NNFX system, the exit indicator is used in conjunction with a stop loss and a take profit order to maximize profits and minimize losses. The stop loss order is used to limit the amount of loss that can be incurred if the trade goes against the trader, while the take profit order is used to lock in profits when the trade is moving in the trader's favor.
Overall, the use of an exit indicator in the NNFX trading system is an important component of a comprehensive trading strategy. It allows traders to manage their risk effectively and improve the profitability of their trades by exiting at the right time.
How does Loxx's GKD (Giga Kaleidoscope Modularized Trading System) implement the NNFX algorithm outlined above?
Loxx's GKD v1.0 system has five types of modules (indicators/strategies). These modules are:
1. GKD-BT - Backtesting module (Volatility, Number 1 in the NNFX algorithm)
2. GKD-B - Baseline module (Baseline and Volatility/Volume, Numbers 1 and 2 in the NNFX algorithm)
3. GKD-C - Confirmation 1/2 and Continuation module (Confirmation 1/2 and Continuation, Numbers 3, 4, and 5 in the NNFX algorithm)
4. GKD-V - Volatility/Volume module (Confirmation 1/2, Number 6 in the NNFX algorithm)
5. GKD-E - Exit module (Exit, Number 7 in the NNFX algorithm)
(additional module types will added in future releases)
Each module interacts with every module by passing data between modules. Data is passed between each module as described below:
GKD-B => GKD-V => GKD-C(1) => GKD-C(2) => GKD-C(Continuation) => GKD-E => GKD-BT
That is, the Baseline indicator passes its data to Volatility/Volume. The Volatility/Volume indicator passes its values to the Confirmation 1 indicator. The Confirmation 1 indicator passes its values to the Confirmation 2 indicator. The Confirmation 2 indicator passes its values to the Continuation indicator. The Continuation indicator passes its values to the Exit indicator, and finally, the Exit indicator passes its values to the Backtest strategy.
This chaining of indicators requires that each module conform to Loxx's GKD protocol, therefore allowing for the testing of every possible combination of technical indicators that make up the six components of the NNFX algorithm.
What does the application of the GKD trading system look like?
Example trading system:
Backtest: Strategy with 1-3 take profits, trailing stop loss, multiple types of PnL volatility, and 2 backtesting styles
Baseline: Hull Moving Average
Volatility/Volume: Hurst Exponent
Confirmation 1: Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity as shown on the chart above
Confirmation 2: Williams Percent Range
Continuation: Fisher Transform
Exit: Rex Oscillator
Each GKD indicator is denoted with a module identifier of either: GKD-BT, GKD-B, GKD-C, GKD-V, or GKD-E. This allows traders to understand to which module each indicator belongs and where each indicator fits into the GKD protocol chain.
Giga Kaleidoscope Modularized Trading System Signals (based on the NNFX algorithm)
Standard Entry
1. GKD-C Confirmation 1 Signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
6. GKD-C Confirmation 1 signal was less than 7 candles prior
Continuation Entry
1. Standard Entry, Baseline Entry, or Pullback; entry triggered previously
2. GKD-B Baseline hasn't crossed since entry signal trigger
3. GKD-C Confirmation Continuation Indicator signals
4. GKD-C Confirmation 1 agrees
5. GKD-B Baseline agrees
6. GKD-C Confirmation 2 agrees
1-Candle Rule Standard Entry
1. GKD-C Confirmation 1 signal
2. GKD-B Baseline agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume agrees
1-Candle Rule Baseline Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
4. GKD-C Confirmation 1 signal was less than 7 candles prior
Next Candle:
1. Price retraced (Long: close < close or Short: close > close )
2. GKD-B Baseline agrees
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
PullBack Entry
1. GKD-B Baseline signal
2. GKD-C Confirmation 1 agrees
3. Price is beyond 1.0x Volatility of Baseline
Next Candle:
1. Price is within a range of 0.2x Volatility and 1.0x Volatility of the Goldie Locks Mean
3. GKD-C Confirmation 1 agrees
4. GKD-C Confirmation 2 agrees
5. GKD-V Volatility/Volume Agrees
█ GKD-C Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity
What is MACD?
MACD stands for Moving Average Convergence Divergence. It is a technical indicator used in financial analysis to track the trend and momentum of a security or market index. The MACD indicator consists of two lines, a faster-moving average called the MACD line, and a slower-moving average called the signal line.
The MACD line is calculated by subtracting the 26-period exponential moving average (EMA) from the 12-period EMA. The signal line is a 9-period EMA of the MACD line. The MACD line oscillates above and below the zero line, which represents the equilibrium point between the bullish and bearish forces.
Traders use the MACD indicator to identify changes in trend and momentum. When the MACD line crosses above the signal line, it is considered a bullish signal, indicating that the momentum is shifting towards the upside. Conversely, when the MACD line crosses below the signal line, it is considered a bearish signal, indicating that the momentum is shifting towards the downside.
The MACD indicator can also be used to identify divergences between the MACD line and the price action. A bullish divergence occurs when the price is making lower lows, but the MACD line is making higher lows. This could indicate that the downward momentum is weakening, and a potential trend reversal could be imminent. A bearish divergence occurs when the price is making higher highs, but the MACD line is making lower highs, indicating that the upward momentum is weakening, and a potential trend reversal could be imminent.
Overall, the MACD indicator is a versatile tool that can be used in conjunction with other technical indicators and chart patterns to make informed trading decisions.
What is CCI?
The Commodity Channel Index ( CCI ) is a technical analysis indicator that was developed by Donald Lambert in 1980. It's primarily used to identify overbought and oversold conditions in the market, as well as trend direction and potential price reversals.
The CCI is calculated by taking the difference between the typical price (the average of the high, low, and close prices) and a moving average of the typical price over a certain period of time. This difference is then divided by a factor based on the average deviation of the typical price from the moving average.
The formula for the CCI is:
CCI = (Typical Price - 20-period SMA of Typical Price) / (0.015 x Mean Deviation)
Where:
Typical Price = (High + Low + Close) / 3
SMA = Simple Moving Average
Mean Deviation = Average of the absolute value of the difference between the Typical Price and the SMA over the last 20 periods.
The CCI is usually displayed as a line chart that oscillates around a centerline of zero. Readings above zero indicate that the typical price is above the moving average, while readings below zero indicate that the typical price is below the moving average.
Traders typically use the CCI to identify overbought and oversold conditions in the market. When the CCI rises above a certain level (e.g., +100), it's considered overbought, indicating that the price may be due for a correction or reversal. When the CCI falls below a certain level (e.g., -100), it's considered oversold, indicating that the price may be due for a bounce or reversal.
The CCI can also be used to identify potential trend reversals. When the CCI crosses above or below the zero line, it can signal a potential change in trend. For example, if the CCI crosses above the zero line, it could indicate that a bullish trend is emerging, while a cross below the zero line could indicate that a bearish trend is emerging.
Overall, the Commodity Channel Index is a useful technical analysis tool for identifying overbought and oversold conditions, as well as potential trend reversals in the market. However, like all technical indicators, it should be used in conjunction with other forms of analysis and risk management techniques to make informed trading decisions.
What is RSI?
The RSI, or Relative Strength Index, is a popular technical analysis tool used to measure the strength of a security's price action and identify potential trend reversals. It was developed by J. Welles Wilder and is based on the concept that price action tends to follow a momentum pattern.
The RSI is calculated based on the average gain and loss of a security's price over a specified period, usually 14 periods. It oscillates between 0 and 100 and is represented as a single line on a chart.
The RSI is calculated as follows:
RS = Average Gain / Average Loss
RSI = 100 - (100 / (1 + RS))
Where the Average Gain is the sum of all gains divided by the number of periods, and the Average Loss is the sum of all losses divided by the number of periods.
The RSI is used to identify overbought and oversold conditions in a security or market index. When the RSI rises above 70, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the RSI falls below 30, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the RSI to identify potential trend reversals. When the RSI forms a divergent pattern with the price action, it could indicate that the security is losing momentum and may be reversing to the upside or downside.
Overall, the RSI is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Stochastic?
The stochastic oscillator is a momentum indicator used in technical analysis to measure the current closing price of a security or market index relative to its price range over a specified period. The indicator consists of two lines, the %K line and the %D line, which oscillate between 0 and 100.
The %K line is calculated as follows:
%K = 100 x (Closing Price - Lowest Low) / (Highest High - Lowest Low)
Where:
Closing Price is the most recent closing price of the security.
Lowest Low is the lowest low of the security over a specified period (usually 14 periods).
Highest High is the highest high of the security over the same specified period.
The %D line is a 3-period simple moving average of the %K line. The %D line is slower than the %K line and is used to smooth out the volatility of the %K line.
The stochastic oscillator is used to identify overbought and oversold conditions in a security or market index. When the %K line rises above 80, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the %K line falls below 20, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the stochastic oscillator to identify bullish and bearish divergences between the %K line and the price action. A bullish divergence occurs when the %K line is making higher lows while the price action is making lower lows, indicating that the momentum is shifting towards the upside. A bearish divergence occurs when the %K line is making lower highs while the price action is making higher highs, indicating that the momentum is shifting towards the downside.
Overall, the stochastic oscillator is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Loxxer?
The Loxxer Index is a technical indicator used in financial analysis to identify potential trend reversals and overbought/oversold conditions in a security or market index. It was developed by Loxx and is also known as the Loxx Indicator.
The Loxxer Index is calculated based on the high, low, and closing prices of a security over a specified period. It measures the demand for the security by comparing the current high and low prices with the previous high and low prices. The indicator oscillates between 0 and 1 and is represented as a single line on a chart.
The Loxxer Index is calculated as follows:
LoxxMax = Current High - Previous High
LoxxMin = Previous Low - Current Low
If LoxxMax is greater than LoxxMin, then the Loxxer Index is calculated as follows:
Loxxer = LoxxMax / (LoxxMax + Current Close - Previous Close)
If LoxxMax is less than or equal to LoxxMin, then the Loxxer Index is calculated as follows:
Loxxer = 0
The Loxxer Index is used to identify overbought and oversold conditions in a security or market index. When the Loxxer Index rises above 0.7, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the Loxxer Index falls below 0.3, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the Loxxer Index to identify potential trend reversals. When the Loxxer Index forms a higher low while the price action forms a lower low, it could indicate that the security is losing momentum and may be reversing to the upside. Conversely, when the Loxxer Index forms a lower high while the price action forms a higher high, it could indicate that the security is losing momentum and may be reversing to the downside.
Overall, the Loxxer Index is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Velocity?
The Velocity Indicator is a technical analysis tool used to measure the speed and momentum of price movements in a security or market index. It is a type of oscillator that is used to identify potential trend reversals and overbought/oversold conditions.
The Velocity Indicator is calculated based on the difference between the current price and the price from a specified number of periods ago. It measures the rate of change of the price movement over time and is represented as a single line on a chart.
The Velocity Indicator is calculated as follows:
Velocity = (Current Price - Price from N periods ago) / Price from N periods ago x 100
Where N is the number of periods used in the calculation.
The Velocity Indicator is used to identify overbought and oversold conditions in a security or market index. When the Velocity Indicator rises above 1, it is considered overbought, indicating that the security may be overvalued and due for a price correction. Conversely, when the Velocity Indicator falls below -1, it is considered oversold, indicating that the security may be undervalued and due for a price rebound.
Traders can also use the Velocity Indicator to identify potential trend reversals. When the Velocity Indicator crosses above its moving average, it could indicate that the security is gaining momentum and may be reversing to the upside. Conversely, when the Velocity Indicator crosses below its moving average, it could indicate that the security is losing momentum and may be reversing to the downside.
Overall, the Velocity Indicator is a useful tool for traders to identify potential buy and sell signals, as well as to confirm trends and reversals. However, it should not be used in isolation, and traders should consider using other technical indicators and fundamental analysis to make informed trading decisions.
What is Super 6x: RSI, MACD, Stochastic, Loxxer, CCI, & Velocity?
Super 6x combines all 6 indicators into one signal, long or short
Requirements
Inputs
Confirmation 1 and Solo Confirmation: GKD-V Volatility / Volume indicator
Confirmation 2: GKD-C Confirmation indicator
Outputs
Confirmation 2 and Solo Confirmation Complex: GKD-E Exit indicator
Confirmation 1: GKD-C Confirmation indicator
Continuation: GKD-E Exit indicator
Solo Confirmation Simple: GKD-BT Backtest strategy
Additional features will be added in future releases.
