Scout Regiment - KSI# Scout Regiment - KSI Indicator
## English Documentation
### Overview
Scout Regiment - KSI (Key Stochastic Indicators) is a comprehensive momentum oscillator that combines three powerful technical indicators - RSI, CCI, and Williams %R - into a single, unified display. This multi-indicator approach provides traders with diverse perspectives on market momentum, overbought/oversold conditions, and potential reversal points through advanced divergence detection.
### What is KSI?
KSI stands for "Key Stochastic Indicators" - a composite momentum indicator that:
- Displays multiple oscillators normalized to a 0-100 scale
- Uses standardized bands (20/50/80) for consistent interpretation
- Combines RSI for trend, CCI for cycle, and Williams %R for reversal detection
- Provides enhanced divergence detection specifically for RSI
### Key Features
#### 1. **Triple Oscillator System**
**① RSI (Relative Strength Index)** - Primary Indicator
- **Purpose**: Measures momentum and identifies overbought/oversold conditions
- **Default Length**: 22 periods
- **Display**: Blue line (2px)
- **Key Levels**:
- Above 50: Bullish momentum
- Below 50: Bearish momentum
- Above 80: Overbought
- Below 20: Oversold
- **Special Features**:
- Background color indication (green/red)
- Crossover labels at 50 level
- Full divergence detection (4 types)
**② CCI (Commodity Channel Index)** - Dual Period
- **Purpose**: Identifies cyclical trends and extreme conditions
- **Dual Display**:
- CCI(33): Short-term cycle - Green line (1px)
- CCI(77): Medium-term cycle - Orange line (1px)
- **Default Source**: HLC3 (typical price)
- **Normalized Scale**: Mapped from ±100 to 0-100 for consistency
- **Interpretation**:
- Above 80: Strong upward momentum
- Below 20: Strong downward momentum
- 50 level: Neutral
- Divergence between periods: Trend change warning
**③ Williams %R** - Optional
- **Purpose**: Identifies overbought/oversold extremes
- **Default Length**: 28 periods
- **Display**: Magenta line (2px)
- **Scale**: Inverted and normalized to 0-100
- **Best For**: Short-term reversal signals
- **Default**: Disabled (enable when needed for extra confirmation)
#### 2. **Standardized Band System**
**Three-Level Structure:**
- **Upper Band (80)**: Overbought zone
- Strong momentum area
- Watch for reversal signals
- Divergences here are most reliable
- **Middle Line (50)**: Equilibrium
- Separates bullish/bearish zones
- Crossovers indicate momentum shifts
- Key decision level
- **Lower Band (20)**: Oversold zone
- Weak momentum area
- Look for bounce signals
- Divergences here signal potential reversals
**Band Fill**: Dark background between 20-80 for visual clarity
#### 3. **RSI Visual Enhancements**
**Background Color Indication**
- Green background: RSI above 50 (bullish bias)
- Red background: RSI below 50 (bearish bias)
- Optional display for cleaner charts
- Helps identify overall momentum direction
**Crossover Labels**
- "突破" (Breakout): RSI crosses above 50
- "跌破" (Breakdown): RSI crosses below 50
- Marks momentum shift points
- Can be toggled on/off
#### 4. **Advanced RSI Divergence Detection**
The indicator includes comprehensive divergence detection for RSI only (most reliable oscillator):
**Regular Bullish Divergence (Yellow)**
- **Price**: Lower lows
- **RSI**: Higher lows
- **Signal**: Potential upward reversal
- **Label**: "涨" (Up)
- **Most Common**: Near oversold levels (below 30)
**Regular Bearish Divergence (Blue)**
- **Price**: Higher highs
- **RSI**: Lower highs
- **Signal**: Potential downward reversal
- **Label**: "跌" (Down)
- **Most Common**: Near overbought levels (above 70)
**Hidden Bullish Divergence (Light Yellow)**
- **Price**: Higher lows
- **RSI**: Lower lows
- **Signal**: Uptrend continuation
- **Label**: "隐涨" (Hidden Up)
- **Use**: Add to existing longs
**Hidden Bearish Divergence (Light Blue)**
- **Price**: Lower highs
- **RSI**: Higher highs
- **Signal**: Downtrend continuation
- **Label**: "隐跌" (Hidden Down)
- **Use**: Add to existing shorts
**Divergence Parameters** (Fully Customizable):
- **Right Lookback**: Bars to right of pivot (default: 5)
- **Left Lookback**: Bars to left of pivot (default: 5)
- **Max Range**: Maximum bars between pivots (default: 60)
- **Min Range**: Minimum bars between pivots (default: 5)
### Configuration Settings
#### KSI Display Settings
- **Show RSI**: Toggle RSI indicator
- **Show CCI**: Toggle both CCI lines
- **Show Williams %R**: Toggle Williams %R (optional)
#### RSI Settings
- **RSI Length**: Period for calculation (default: 22)
- **Data Source**: Price source (default: close)
- **Show Background**: Toggle green/red background
- **Show Cross Labels**: Toggle 50-level crossover labels
#### RSI Divergence Settings
- **Right Lookback**: Pivot detection right side
- **Left Lookback**: Pivot detection left side
- **Max Range**: Maximum lookback distance
- **Min Range**: Minimum lookback distance
- **Show Regular Divergence**: Enable regular divergence lines
- **Show Regular Labels**: Enable regular divergence labels
- **Show Hidden Divergence**: Enable hidden divergence lines
- **Show Hidden Labels**: Enable hidden divergence labels
#### CCI Settings
- **CCI Length**: Short-term period (default: 33)
- **CCI Mid Length**: Medium-term period (default: 77)
- **Data Source**: Price calculation (default: HLC3)
- **Show CCI(33)**: Toggle short-term CCI
- **Show CCI(77)**: Toggle medium-term CCI
#### Williams %R Settings
- **Length**: Calculation period (default: 28)
- **Data Source**: Price source (default: close)
### How to Use
#### For Basic Momentum Trading
1. **Enable RSI Only** (primary indicator)
- Focus on 50-level crossovers
- Enable crossover labels for signals
2. **Identify Momentum Direction**
- RSI > 50 = Bullish momentum
- RSI < 50 = Bearish momentum
- Background color confirms direction
3. **Look for Extremes**
- RSI > 80 = Overbought (consider selling)
- RSI < 20 = Oversold (consider buying)
4. **Trade Setup**
- Enter long when RSI crosses above 50 from oversold
- Enter short when RSI crosses below 50 from overbought
#### For Divergence Trading
1. **Enable RSI with Divergence Detection**
- Turn on regular divergence
- Optionally add hidden divergence
2. **Wait for Divergence Signal**
- Yellow label = Bullish divergence
- Blue label = Bearish divergence
3. **Confirm with Price Structure**
- Wait for support/resistance break
- Look for candlestick patterns
- Check volume confirmation
4. **Enter Position**
- Enter after confirmation
- Stop beyond divergence pivot
- Target next key level
#### For Multi-Oscillator Confirmation
1. **Enable All Three Indicators**
- RSI (momentum)
- CCI dual (cycle analysis)
- Williams %R (extremes)
2. **Look for Alignment**
- All above 50 = Strong bullish
- All below 50 = Strong bearish
- Mixed signals = Consolidation
3. **Identify Extremes**
- All indicators > 80 = Extreme overbought
- All indicators < 20 = Extreme oversold
4. **Trade Reversals**
- Enter counter-trend when all aligned at extremes
- Confirm with divergence if available
- Use tight stops
#### For CCI Dual-Period Analysis
1. **Enable Both CCI Lines**
- CCI(33) = Short-term
- CCI(77) = Medium-term
2. **Watch for Crossovers**
- Green crosses above orange = Bullish acceleration
- Green crosses below orange = Bearish acceleration
3. **Analyze Divergence Between Periods**
- Short-term rising, medium falling = Potential reversal
- Both rising together = Strong trend
4. **Trade Accordingly**
- Follow crossover direction
- Exit when lines converge
### Trading Strategies
#### Strategy 1: RSI 50-Level Crossover
**Setup:**
- Enable RSI with background and labels
- Wait for clear trend
- Look for retracement to 50 level
**Entry:**
- Long: "突破" label appears after pullback
- Short: "跌破" label appears after bounce
**Stop Loss:**
- Long: Below recent swing low
- Short: Above recent swing high
**Exit:**
- Opposite crossover label
- Or predetermined target (2:1 risk-reward)
**Best For:** Trend following, clear markets
#### Strategy 2: RSI Divergence Reversal
**Setup:**
- Enable RSI with regular divergence
- Wait for extreme levels (>70 or <30)
- Look for divergence signal
**Entry:**
- Long: Yellow "涨" label at oversold level
- Short: Blue "跌" label at overbought level
**Confirmation:**
- Wait for price to break structure
- Check for volume increase
- Look for candlestick reversal pattern
**Stop Loss:**
- Beyond divergence pivot point
**Exit:**
- Take partial profit at 50 level
- Exit remainder at opposite extreme or divergence
**Best For:** Swing trading, range-bound markets
#### Strategy 3: Triple Oscillator Confluence
**Setup:**
- Enable all three indicators
- Wait for all to reach extreme (>80 or <20)
- Look for alignment
**Entry:**
- Long: All three below 20, first one crosses above 20
- Short: All three above 80, first one crosses below 80
**Confirmation:**
- All indicators must align
- Price at support/resistance
- Volume spike helps
**Stop Loss:**
- Fixed percentage or ATR-based
**Exit:**
- When any indicator crosses 50 level
- Or at predetermined target
**Best For:** High-probability reversals, volatile markets
#### Strategy 4: CCI Dual-Period System
**Setup:**
- Enable both CCI lines only
- Disable RSI and Williams %R for clarity
- Watch for crossovers
**Entry:**
- Long: CCI(33) crosses above CCI(77) below 50 line
- Short: CCI(33) crosses below CCI(77) above 50 line
**Confirmation:**
- Both should be moving in entry direction
- Price breaking key level helps
**Stop Loss:**
- When CCIs cross back in opposite direction
**Exit:**
- Both CCIs enter opposite extreme zone
- Or trailing stop
**Best For:** Catching trend continuations, momentum trading
#### Strategy 5: Hidden Divergence Continuation
**Setup:**
- Enable RSI with hidden divergence
- Confirm existing trend
- Wait for pullback
**Entry:**
- Uptrend: "隐涨" label during pullback
- Downtrend: "隐跌" label during bounce
**Confirmation:**
- Price holds key moving average
- Trend structure intact
**Stop Loss:**
- Beyond pullback extreme
**Exit:**
- Regular divergence appears (reversal warning)
- Or trend structure breaks
**Best For:** Adding to positions, trend trading
### Best Practices
#### Choosing Which Indicators to Display
**For Beginners:**
- Use RSI only
- Enable background color and labels
- Focus on 50-level crossovers
- Simple and effective
**For Intermediate Traders:**
- RSI + Regular Divergence
- Add CCI for confirmation
- Use dual perspectives
- Better accuracy
**For Advanced Traders:**
- All three indicators
- Full divergence detection
- Multi-timeframe analysis
- Maximum information
#### Oscillator Priority
**Primary**: RSI (22)
- Most reliable
- Best divergence detection
- Good for all timeframes
- Use this as your main decision maker
**Secondary**: CCI (33/77)
- Adds cycle analysis
- Great for confirmation
- Dual-period crossovers valuable
- Use to confirm RSI signals
**Tertiary**: Williams %R (28)
- Extreme readings useful
- More volatile
- Best for short-term
- Use sparingly for extra confirmation
#### Timeframe Considerations
**Lower Timeframes (1m-15m):**
- More signals, less reliable
- Use tight divergence parameters
- Focus on RSI crossovers
- Quick entries and exits
**Medium Timeframes (30m-4H):**
- Balanced signal frequency
- Default settings work well
- Best for divergence trading
- Swing trading optimal
**Higher Timeframes (Daily+):**
- Fewer but stronger signals
- Widen divergence ranges
- All indicators more reliable
- Position trading best
#### Divergence Trading Tips
1. **Wait for Confirmation**
- Divergence alone isn't enough
- Need price structure break
- Volume helps validate
2. **Best at Extremes**
- Divergences near 80/20 levels most reliable
- Mid-level divergences often fail
- Combine with support/resistance
3. **Multiple Divergences**
- Second divergence stronger than first
- Third divergence extremely powerful
- Watch for "triple divergence"
4. **Timeframe Alignment**
- Check higher timeframe for direction
- Trade divergences in direction of larger trend
- Counter-trend divergences riskier
### Indicator Combinations
**With Moving Averages:**
- Use EMAs (21/55/144) for trend
- KSI for entry timing
- Enter when both align
**With Volume:**
- Volume confirms breakouts
- Divergence + volume divergence = Stronger
- Low volume at extremes = Reversal likely
**With Support/Resistance:**
- Price levels for targets
- KSI for entry timing
- Divergences at levels = Highest probability
**With Bias Indicator:**
- Bias shows price deviation
- KSI shows momentum
- Both diverging = Strong reversal signal
**With OBV Indicator:**
- OBV shows volume trend
- KSI shows price momentum
- Volume/momentum divergence powerful
### Common Patterns
1. **Bullish Reversal**: All oscillators oversold + RSI bullish divergence
2. **Bearish Reversal**: All oscillators overbought + RSI bearish divergence
3. **Trend Acceleration**: RSI > 50, both CCIs rising, Williams %R not extreme
4. **Weakening Trend**: RSI declining while price rising (pre-divergence warning)
5. **Strong Trend**: All oscillators stay above/below 50 for extended period
6. **Consolidation**: Oscillators crossing 50 frequently without extremes
7. **Exhaustion**: Multiple oscillators at extreme + hidden divergence failure
### Performance Tips
- Start simple: RSI only
- Add indicators gradually as you learn
- Disable unused features for cleaner charts
- Use labels strategically (not always on)
- Test different RSI lengths for your market
- Adjust divergence parameters based on volatility
### Alert Conditions
The indicator includes alerts for:
- RSI crossing above 50
- RSI crossing below 50
- RSI regular bullish divergence
- RSI regular bearish divergence
- RSI hidden bullish divergence
- RSI hidden bearish divergence
---
## 中文说明文档
### 概述
Scout Regiment - KSI（关键随机指标）是一个综合性动量振荡器，将三个强大的技术指标 - RSI、CCI和威廉指标 - 组合到一个统一的显示中。这种多指标方法为交易者提供了市场动量、超买超卖状况和通过高级背离检测发现潜在反转点的多元视角。
### 什么是KSI？
KSI代表"关键随机指标" - 一个综合动量指标：
- 显示多个振荡器，标准化到0-100刻度
- 使用标准化波段（20/50/80）便于一致解读
- 结合RSI用于趋势、CCI用于周期、威廉指标用于反转检测
- 专门为RSI提供增强的背离检测
### 核心功能
#### 1. **三重振荡器系统**
**① RSI（相对强弱指数）** - 主要指标
- **用途**：测量动量并识别超买超卖状况
- **默认长度**：22周期
- **显示**：蓝色线（2像素）
- **关键水平**：
- 50以上：看涨动量
- 50以下：看跌动量
- 80以上：超买
- 20以下：超卖
- **特殊功能**：
- 背景颜色指示（绿色/红色）
- 50水平穿越标签
- 完整背离检测（4种类型）
**② CCI（顺势指标）** - 双周期
- **用途**：识别周期性趋势和极端状况
- **双重显示**：
- CCI(33)：短期周期 - 绿色线（1像素）
- CCI(77)：中期周期 - 橙色线（1像素）
- **默认数据源**：HLC3（典型价格）
- **标准化刻度**：从±100映射到0-100以保持一致性
- **解读**：
- 80以上：强劲上升动量
- 20以下：强劲下降动量
- 50水平：中性
- 周期间背离：趋势变化警告
**③ 威廉指标 %R** - 可选
- **用途**：识别超买超卖极值
- **默认长度**：28周期
- **显示**：洋红色线（2像素）
- **刻度**：反转并标准化到0-100
- **最适合**：短期反转信号
- **默认**：禁用（需要额外确认时启用）
#### 2. **标准化波段系统**
**三层结构：**
- **上轨（80）**：超买区域
- 强动量区域
- 注意反转信号
- 此处的背离最可靠
- **中线（50）**：均衡线
- 分隔看涨/看跌区域
- 穿越表示动量转变
- 关键决策水平
- **下轨（20）**：超卖区域
- 弱动量区域
- 寻找反弹信号
- 此处的背离预示潜在反转
**波段填充**：20-80之间的深色背景，增强视觉清晰度
#### 3. **RSI视觉增强**
**背景颜色指示**
- 绿色背景：RSI在50以上（看涨偏向）
- 红色背景：RSI在50以下（看跌偏向）
- 可选显示，图表更清爽
- 帮助识别整体动量方向
**穿越标签**
- "突破"：RSI向上穿越50
- "跌破"：RSI向下穿越50
- 标记动量转变点
- 可开关
#### 4. **高级RSI背离检测**
指标仅为RSI（最可靠的振荡器）提供全面背离检测：
**常规看涨背离（黄色）**
- **价格**：更低的低点
- **RSI**：更高的低点
- **信号**：潜在向上反转
- **标签**："涨"
- **最常见**：在超卖水平附近（30以下）
**常规看跌背离（蓝色）**
- **价格**：更高的高点
- **RSI**：更低的高点
- **信号**：潜在向下反转
- **标签**："跌"
- **最常见**：在超买水平附近（70以上）
**隐藏看涨背离（浅黄色）**
- **价格**：更高的低点
- **RSI**：更低的低点
- **信号**：上升趋势延续
- **标签**："隐涨"
- **用途**：加仓现有多头
**隐藏看跌背离（浅蓝色）**
- **价格**：更低的高点
- **RSI**：更高的高点
- **信号**：下降趋势延续
- **标签**："隐跌"
- **用途**：加仓现有空头
**背离参数**（完全可自定义）：
- **右侧回溯**：枢轴点右侧K线数（默认：5）
- **左侧回溯**：枢轴点左侧K线数（默认：5）
- **最大范围**：枢轴点之间最大K线数（默认：60）
- **最小范围**：枢轴点之间最小K线数（默认：5）
### 配置设置
#### KSI显示设置
- **显示RSI**：切换RSI指标
- **显示CCI**：切换两条CCI线
- **显示威廉指标 %R**：切换威廉指标（可选）
#### RSI设置
- **RSI长度**：计算周期（默认：22）
- **数据源**：价格源（默认：收盘价）
- **显示背景**：切换绿色/红色背景
- **显示穿越标签**：切换50水平穿越标签
#### RSI背离设置
- **右侧回溯**：枢轴检测右侧
- **左侧回溯**：枢轴检测左侧
- **回溯范围最大值**：最大回溯距离
- **回溯范围最小值**：最小回溯距离
- **显示常规背离**：启用常规背离线
- **显示常规背离标签**：启用常规背离标签
- **显示隐藏背离**：启用隐藏背离线
- **显示隐藏背离标签**：启用隐藏背离标签
#### CCI设置
- **CCI长度**：短期周期（默认：33）
- **CCI中期长度**：中期周期（默认：77）
- **数据源**：价格计算（默认：HLC3）
- **显示CCI(33)**：切换短期CCI
- **显示CCI(77)**：切换中期CCI
#### 威廉指标 %R 设置
- **长度**：计算周期（默认：28）
- **数据源**：价格源（默认：收盘价）
### 使用方法
#### 基础动量交易
1. **仅启用RSI**（主要指标）
- 关注50水平穿越
- 启用穿越标签获取信号
2. **识别动量方向**
- RSI > 50 = 看涨动量
- RSI < 50 = 看跌动量
- 背景颜色确认方向
3. **寻找极值**
- RSI > 80 = 超买（考虑卖出）
- RSI < 20 = 超卖（考虑买入）
4. **交易设置**
- RSI从超卖区向上穿越50时做多
- RSI从超买区向下穿越50时做空
#### 背离交易
1. **启用RSI和背离检测**
- 打开常规背离
- 可选添加隐藏背离
2. **等待背离信号**
- 黄色标签 = 看涨背离
- 蓝色标签 = 看跌背离
3. **用价格结构确认**
- 等待支撑/阻力突破
- 寻找K线形态
- 检查成交量确认
4. **进入仓位**
- 确认后进入
- 止损设在背离枢轴点之外
- 目标下一个关键水平
#### 多振荡器确认
1. **启用全部三个指标**
- RSI（动量）
- CCI双周期（周期分析）
- 威廉指标 %R（极值）
2. **寻找一致性**
- 全部在50以上 = 强劲看涨
- 全部在50以下 = 强劲看跌
- 信号混合 = 盘整
3. **识别极值**
- 所有指标 > 80 = 极度超买
- 所有指标 < 20 = 极度超卖
4. **交易反转**
- 所有指标在极值一致时逆势进入
- 可能的话用背离确认
- 使用紧密止损
#### CCI双周期分析
1. **启用两条CCI线**
- CCI(33) = 短期
- CCI(77) = 中期
2. **观察穿越**
- 绿色线穿越橙色线向上 = 看涨加速
- 绿色线穿越橙色线向下 = 看跌加速
3. **分析周期间背离**
- 短期上升，中期下降 = 潜在反转
- 两者同时上升 = 强趋势
4. **相应交易**
- 跟随穿越方向
- 线条汇合时退出
### 交易策略
#### 策略1：RSI 50水平穿越
**设置：**
- 启用RSI及背景和标签
- 等待明确趋势
- 寻找回调至50水平
**入场：**
- 多头：回调后出现"突破"标签
- 空头：反弹后出现"跌破"标签
**止损：**
- 多头：近期波动低点之下
- 空头：近期波动高点之上
**离场：**
- 出现相反穿越标签
- 或预定目标（2:1风险收益比）
**适合：**趋势跟随、明确市场
#### 策略2：RSI背离反转
**设置：**
- 启用RSI和常规背离
- 等待极端水平（>70或<30）
- 寻找背离信号
**入场：**
- 多头：超卖水平出现黄色"涨"标签
- 空头：超买水平出现蓝色"跌"标签
**确认：**
- 等待价格突破结构
- 检查成交量增加
- 寻找K线反转形态
**止损：**
- 背离枢轴点之外
**离场：**
- 在50水平部分获利
- 其余在相反极值或背离处离场
**适合：**波段交易、震荡市场
#### 策略3：三重振荡器汇合
**设置：**
- 启用全部三个指标
- 等待全部达到极值（>80或<20）
- 寻找一致性
**入场：**
- 多头：三个全部低于20，第一个向上穿越20
- 空头：三个全部高于80，第一个向下穿越80
**确认：**
- 所有指标必须一致
- 价格在支撑/阻力位
- 成交量激增有帮助
**止损：**
- 固定百分比或基于ATR
**离场：**
- 任一指标穿越50水平时
- 或在预定目标
**适合：**高概率反转、波动市场
#### 策略4：CCI双周期系统
**设置：**
- 仅启用两条CCI线
- 禁用RSI和威廉指标以保持清晰
- 观察穿越
**入场：**
- 多头：CCI(33)在50线下方向上穿越CCI(77)
- 空头：CCI(33)在50线上方向下穿越CCI(77)
**确认：**
- 两者都应朝入场方向移动
- 价格突破关键水平有帮助
**止损：**
- CCI反向穿越时
**离场：**
- 两条CCI进入相反极值区域
- 或移动止损
**适合：**捕捉趋势延续、动量交易
#### 策略5：隐藏背离延续
**设置：**
- 启用RSI和隐藏背离
- 确认现有趋势
- 等待回调
**入场：**
- 上升趋势：回调期间出现"隐涨"标签
- 下降趋势：反弹期间出现"隐跌"标签
**确认：**
- 价格守住关键移动平均线
- 趋势结构完整
**止损：**
- 回调极值之外
**离场：**
- 出现常规背离（反转警告）
- 或趋势结构破坏
**适合：**加仓、趋势交易
### 最佳实践
#### 选择显示哪些指标
**新手：**
- 仅使用RSI
- 启用背景颜色和标签
- 关注50水平穿越
- 简单有效
**中级交易者：**
- RSI + 常规背离
- 添加CCI确认
- 使用双重视角
- 更高准确度
**高级交易者：**
- 全部三个指标
- 完整背离检测
- 多时间框架分析
- 信息最大化
#### 振荡器优先级
**主要**：RSI (22)
- 最可靠
- 最佳背离检测
- 适用所有时间框架
- 用作主要决策依据
**次要**：CCI (33/77)
- 添加周期分析
- 确认效果好
- 双周期穿越有价值
- 用于确认RSI信号
**第三**：威廉指标 %R (28)
- 极值读数有用
- 更波动
- 最适合短期
- 谨慎使用以获额外确认
#### 时间框架考虑
**低时间框架（1分钟-15分钟）：**
- 更多信号，可靠性较低
- 使用紧密背离参数
- 关注RSI穿越
- 快速进出
**中等时间框架（30分钟-4小时）：**
- 信号频率平衡
- 默认设置效果好
- 最适合背离交易
- 波段交易最优
**高时间框架（日线+）：**
- 信号较少但更强
- 扩大背离范围
- 所有指标更可靠
- 最适合仓位交易
#### 背离交易技巧
1. **等待确认**
- 仅背离不够
- 需要价格结构突破
- 成交量帮助验证
2. **极值处最佳**
- 80/20水平附近的背离最可靠
- 中间水平背离常失败
- 结合支撑/阻力
3. **多重背离**
- 第二次背离强于第一次
- 第三次背离极其强大
- 注意"三重背离"
4. **时间框架对齐**
- 检查更高时间框架方向
- 顺大趋势方向交易背离
- 逆势背离风险更大
### 指标组合
**与移动平均线配合：**
- 使用EMA（21/55/144）确定趋势
- KSI用于入场时机
- 两者一致时进入
**与成交量配合：**
- 成交量确认突破
- 背离 + 成交量背离 = 更强
- 极值处低成交量 = 可能反转
**与支撑/阻力配合：**
- 价格水平作为目标
- KSI用于入场时机
- 水平处的背离 = 最高概率
**与Bias指标配合：**
- Bias显示价格偏离
- KSI显示动量
- 两者都背离 = 强反转信号
**与OBV指标配合：**
- OBV显示成交量趋势
- KSI显示价格动量
- 成交量/动量背离强大
### 常见形态
1. **看涨反转**：所有振荡器超卖 + RSI看涨背离
2. **看跌反转**：所有振荡器超买 + RSI看跌背离
3. **趋势加速**：RSI > 50，两条CCI上升，威廉指标不极端
4. **趋势减弱**：价格上升时RSI下降（背离前警告）
5. **强趋势**：所有振荡器长时间保持在50上方/下方
6. **盘整**：振荡器频繁穿越50无极值
7. **衰竭**：多个振荡器在极值 + 隐藏背离失败
### 性能提示
- 从简单开始：仅RSI
- 学习时逐渐添加指标
- 禁用未使用功能以保持图表清晰
- 策略性使用标签（不总是开启）
- 为您的市场测试不同RSI长度
- 根据波动性调整背离参数
### 警报条件
指标包含以下警报：
- RSI向上穿越50
- RSI向下穿越50
- RSI常规看涨背离
- RSI常规看跌背离
- RSI隐藏看涨背离
- RSI隐藏看跌背离
---
## Technical Support
For questions or issues, please refer to the TradingView community or contact the indicator creator.
## 技术支持
如有问题，请参考TradingView社区或联系指标创建者。
Search in scripts for "Trailing stop"
Scout Regiment - OBV# Scout Regiment - OBV Indicator
## English Documentation
### Overview
Scout Regiment - OBV (On-Balance Volume) is an advanced momentum indicator that combines volume and price movement to identify the strength of buying and selling pressure. This indicator features an oscillator-based approach with divergence detection to help traders spot potential trend reversals and confirm price movements.
### What is OBV?
On-Balance Volume (OBV) is a cumulative volume indicator that adds volume on up days and subtracts volume on down days:
- **Rising OBV**: Accumulation (buying pressure)
- **Falling OBV**: Distribution (selling pressure)
- **OBV Oscillator**: The difference between OBV and its smoothed moving average, making divergences easier to spot
### Key Features
#### 1. **OBV Oscillator Display**
Instead of displaying raw OBV values, this indicator shows the oscillator (difference between OBV and its smoothed line):
**Benefits:**
- Easier to identify divergences
- Clearer trend changes
- More sensitive to momentum shifts
- Zero line as reference point
**Visual Elements:**
- **Step Line**: Main OBV oscillator line
- Green: Positive oscillator (accumulation)
- Red: Negative oscillator (distribution)
- **Histogram**: Visual representation of oscillator strength
- Green bars: Above zero line
- Red bars: Below zero line
- **Zero Line**: White dotted horizontal line as reference
#### 2. **Smoothing Options**
Choose from multiple moving average types to smooth the OBV:
- **None**: Raw OBV (most sensitive)
- **SMA**: Simple Moving Average (equal weight)
- **EMA**: Exponential Moving Average (recent price emphasis) - Default
- **SMMA (RMA)**: Smoothed Moving Average (very smooth)
- **WMA**: Weighted Moving Average (linear weight)
- **VWMA**: Volume Weighted Moving Average (volume emphasis)
**Default Settings:**
- Type: EMA
- Length: 21 periods
- Best for: Most market conditions
#### 3. **Multi-Timeframe Analysis**
- Calculate OBV on any timeframe
- View higher timeframe momentum on lower timeframe charts
- Align trades with larger timeframe volume trends
- Empty field = Current chart timeframe
#### 4. **Visual Enhancements**
**Background Color**
- Light green: Positive oscillator (bullish volume pressure)
- Light red: Negative oscillator (bearish volume pressure)
- Optional display for cleaner charts
**Crossover Labels**
- "突破" (Breakout): When oscillator crosses above zero
- "跌破" (Breakdown): When oscillator crosses below zero
- Indicates potential trend changes
- Can be toggled on/off
#### 5. **Comprehensive Divergence Detection**
The indicator automatically detects four types of divergences:
**Regular Bullish Divergence (Yellow)**
- **Price**: Makes lower lows
- **OBV**: Makes higher lows
- **Signal**: Potential upward reversal
- **Label**: "看涨" (Bullish)
- **Use**: Enter long positions
**Regular Bearish Divergence (Blue)**
- **Price**: Makes higher highs
- **OBV**: Makes lower highs
- **Signal**: Potential downward reversal
- **Label**: "看跌" (Bearish)
- **Use**: Enter short positions or exit longs
**Hidden Bullish Divergence (Light Yellow)**
- **Price**: Makes higher lows
- **OBV**: Makes lower lows
- **Signal**: Trend continuation (uptrend)
- **Label**: "隐藏看涨" (Hidden Bullish)
- **Use**: Add to long positions
**Hidden Bearish Divergence (Light Blue)**
- **Price**: Makes lower highs
- **OBV**: Makes higher highs
- **Signal**: Trend continuation (downtrend)
- **Label**: "隐藏看跌" (Hidden Bearish)
- **Use**: Add to short positions
#### 6. **Customizable Divergence Detection**
**Pivot Lookback Settings:**
- **Left Lookback**: Bars to the left of pivot (default: 5)
- **Right Lookback**: Bars to the right of pivot (default: 5)
- Determines how "extreme" a point must be to qualify as a pivot
**Range Settings:**
- **Maximum Range**: Maximum bars between pivots (default: 60)
- **Minimum Range**: Minimum bars between pivots (default: 5)
- Filters out too-close or too-distant divergences
**Display Options:**
- Toggle regular divergences on/off
- Toggle hidden divergences on/off
- Toggle divergence labels on/off
- Show only the divergences you need
### Configuration Settings
#### Smoothing Settings
- **Smoothing Type**: Choose MA type (None/SMA/EMA/SMMA/WMA/VWMA)
- **Smoothing Length**: Number of periods for smoothing (default: 21)
#### Calculation Settings
- **Timeframe**: Select calculation timeframe (empty = current chart)
#### Display Settings
- **Show OBV Line**: Toggle step line display
- **Show OBV Histogram**: Toggle histogram display
- **Show Background Color**: Toggle background coloring
- **Show Crossover Labels**: Toggle breakout/breakdown labels
#### Divergence Settings
- **Pivot Right Lookback**: Right bars for pivot detection (default: 5)
- **Pivot Left Lookback**: Left bars for pivot detection (default: 5)
- **Range Maximum**: Max bars between divergences (default: 60)
- **Range Minimum**: Min bars between divergences (default: 5)
- **Show Regular Divergences**: Enable/disable regular divergences
- **Show Regular Labels**: Enable/disable regular divergence labels
- **Show Hidden Divergences**: Enable/disable hidden divergences
- **Show Hidden Labels**: Enable/disable hidden divergence labels
### How to Use
#### For Trend Confirmation
1. **Identify Trend with Price**
- Uptrend: Higher highs and higher lows
- Downtrend: Lower highs and lower lows
2. **Confirm with OBV Oscillator**
- Strong uptrend: OBV oscillator staying positive
- Strong downtrend: OBV oscillator staying negative
- Weak trend: OBV oscillator frequently crossing zero
3. **Volume Confirmation**
- Trend with increasing OBV = Strong trend
- Trend with decreasing OBV = Weak trend (watch for reversal)
#### For Divergence Trading
1. **Enable Divergence Detection**
- Start with regular divergences only
- Add hidden divergences for trend continuation
2. **Wait for Divergence Signal**
- Yellow label = Potential bullish reversal
- Blue label = Potential bearish reversal
3. **Confirm with Price Action**
- Wait for support/resistance break
- Look for candlestick confirmation
- Check higher timeframe alignment
4. **Enter Trade**
- Enter after confirmation
- Set stop loss beyond recent swing
- Target based on previous swing or support/resistance
#### For Breakout Trading
1. **Enable Crossover Labels**
- Identify when oscillator crosses zero line
2. **Confirm Volume Strength**
- Strong breakouts have large oscillator moves
- Weak breakouts barely cross zero
3. **Trade Direction**
- "突破" label = Enter long
- "跌破" label = Enter short
4. **Manage Position**
- Exit when oscillator crosses back
- Use price structure for stops
#### For Multi-Timeframe Analysis
1. **Set Higher Timeframe**
- Example: On 15min chart, set timeframe to 1H or 4H
2. **Identify Higher Timeframe Trend**
- Positive oscillator = Uptrend bias
- Negative oscillator = Downtrend bias
3. **Trade with the Trend**
- Only take long signals in uptrend
- Only take short signals in downtrend
4. **Time Entries**
- Use current timeframe for precise entry
- Confirm with higher timeframe direction
### Trading Strategies
#### Strategy 1: Regular Divergence Reversal
**Setup:**
1. Price in strong trend (up or down)
2. Regular divergence appears
3. Price reaches support/resistance level
**Entry:**
- Bullish: After "看涨" label, when price breaks above recent high
- Bearish: After "看跌" label, when price breaks below recent low
**Stop Loss:**
- Bullish: Below divergence low
- Bearish: Above divergence high
**Exit:**
- Take profit at next major support/resistance
- Or when opposite divergence appears
**Best For:** Swing trading, reversal trading
#### Strategy 2: Hidden Divergence Continuation
**Setup:**
1. Clear trend established
2. Price pulls back (retracement)
3. Hidden divergence appears
**Entry:**
- Bullish: After "隐藏看涨" label, when price resumes uptrend
- Bearish: After "隐藏看跌" label, when price resumes downtrend
**Stop Loss:**
- Behind the pullback swing point
**Exit:**
- Trail stop as trend continues
- Exit on regular divergence (reversal signal)
**Best For:** Trend following, adding to positions
#### Strategy 3: Zero Line Crossover
**Setup:**
1. Enable crossover labels
2. Oscillator crosses zero line
3. Confirm with price structure break
**Entry:**
- "突破" label = Buy signal
- "跌破" label = Sell signal
**Stop Loss:**
- Below/above recent swing
**Exit:**
- When oscillator crosses back over zero
- Or at predetermined target
**Best For:** Momentum trading, quick trades
#### Strategy 4: Multi-Timeframe Confluence
**Setup:**
1. Set indicator to higher timeframe (e.g., 4H on 1H chart)
2. Wait for higher TF oscillator to be positive (uptrend) or negative (downtrend)
3. Look for entries on current timeframe aligned with higher TF
**Entry:**
- Long: When both timeframes show positive oscillator or bullish divergence
- Short: When both timeframes show negative oscillator or bearish divergence
**Stop Loss:**
- Based on current timeframe structure
**Exit:**
- When higher timeframe oscillator turns negative (for longs) or positive (for shorts)
**Best For:** Swing trading, high-probability setups
### Best Practices
#### Volume Analysis
1. **Strong Moves Need Volume**
- Price increase + Rising OBV = Healthy uptrend
- Price increase + Falling OBV = Weak uptrend (warning)
2. **Watch for Confirmation**
- New highs with new OBV highs = Confirmed
- New highs without new OBV highs = Potential divergence
3. **Consider Context**
- Low volume periods (Asian session, holidays) = Less reliable
- High volume periods (News, London/NY overlap) = More reliable
#### Divergence Trading Tips
1. **Not All Divergences Work**
- Wait for price confirmation
- Stronger in oversold/overbought areas
- Better at support/resistance levels
2. **Multiple Divergences**
- Multiple divergences on same trend = Stronger signal
- Quick divergence failures = Ignore and wait for next
3. **Timeframe Matters**
- Higher timeframe divergences = More reliable
- Lower timeframe divergences = More frequent, less reliable
#### Smoothing Selection
1. **No Smoothing (None)**
- Most sensitive, more signals
- More noise, more false signals
- Best for: Scalping, very active trading
2. **EMA (Default)**
- Balanced approach
- Good for most strategies
- Best for: Swing trading, day trading
3. **SMMA (RMA)**
- Very smooth, fewer signals
- Less responsive to sudden changes
- Best for: Position trading, longer timeframes
### Indicator Combinations
**With Moving Averages:**
- Use EMAs for trend direction
- OBV for volume confirmation
- Enter when both align
**With RSI:**
- RSI for overbought/oversold
- OBV for volume confirmation
- Divergences on both = Stronger signal
**With Price Action:**
- Support/resistance for levels
- OBV for strength confirmation
- Breakouts with positive OBV = More likely to succeed
**With Bias Indicator:**
- Bias for price deviation
- OBV for volume confirmation
- Both showing divergence = High probability reversal
### Common Patterns
1. **Accumulation**: OBV rising while price consolidates (breakout likely)
2. **Distribution**: OBV falling while price consolidates (breakdown likely)
3. **Confirmation**: OBV and price both making new highs/lows (trend strong)
4. **Divergence**: OBV and price moving opposite directions (reversal warning)
5. **False Breakout**: Price breaks but OBV doesn't confirm (likely to fail)
### Performance Tips
- Disable unused display features for faster loading
- Start with regular divergences only, add hidden later
- Use histogram for quick visual reference
- Enable crossover labels for clear entry signals
- Test different smoothing lengths for your market
### Alert Conditions
The indicator includes alerts for:
- Regular bullish divergence detected
- Regular bearish divergence detected
- Hidden bullish divergence detected
- Hidden bearish divergence detected
**How to Set Alerts:**
1. Click on the indicator name
2. Select "Add Alert"
3. Choose condition
4. Configure notification method
---
## 中文说明文档
### 概述
Scout Regiment - OBV（能量潮）是一个高级动量指标，结合成交量和价格变动来识别买卖压力的强度。该指标采用振荡器方法并具有背离检测功能，帮助交易者发现潜在的趋势反转并确认价格走势。
### 什么是OBV？
能量潮（OBV）是一个累积成交量指标，在上涨日累加成交量，在下跌日减去成交量：
- **上升的OBV**：积累（买入压力）
- **下降的OBV**：派发（卖出压力）
- **OBV振荡器**：OBV与其平滑移动平均线之间的差值，使背离更容易识别
### 核心功能
#### 1. **OBV振荡器显示**
该指标不显示原始OBV值，而是显示振荡器（OBV与其平滑线之间的差值）：
**优势：**
- 更容易识别背离
- 趋势变化更清晰
- 对动量变化更敏感
- 零线作为参考点
**视觉元素：**
- **阶梯线**：主OBV振荡器线
- 绿色：正振荡器（积累）
- 红色：负振荡器（派发）
- **柱状图**：振荡器强度的可视化表示
- 绿色柱：零线以上
- 红色柱：零线以下
- **零线**：白色虚线作为参考
#### 2. **平滑选项**
选择多种移动平均类型来平滑OBV：
- **None**：原始OBV（最敏感）
- **SMA**：简单移动平均（等权重）
- **EMA**：指数移动平均（强调近期价格）- 默认
- **SMMA (RMA)**：平滑移动平均（非常平滑）
- **WMA**：加权移动平均（线性权重）
- **VWMA**：成交量加权移动平均（强调成交量）
**默认设置：**
- 类型：EMA
- 长度：21周期
- 适合：大多数市场状况
#### 3. **多时间框架分析**
- 在任何时间框架上计算OBV
- 在低时间框架图表上查看高时间框架动量
- 使交易与更大时间框架的成交量趋势保持一致
- 空字段 = 当前图表时间框架
#### 4. **视觉增强**
**背景颜色**
- 浅绿色：正振荡器（看涨成交量压力）
- 浅红色：负振荡器（看跌成交量压力）
- 可选显示，图表更清爽
**穿越标签**
- "突破"：振荡器向上穿越零线
- "跌破"：振荡器向下穿越零线
- 指示潜在趋势变化
- 可开关
#### 5. **全面的背离检测**
指标自动检测四种类型的背离：
**常规看涨背离（黄色）**
- **价格**：创新低
- **OBV**：创更高的低点
- **信号**：潜在向上反转
- **标签**："看涨"
- **用途**：进入多头仓位
**常规看跌背离（蓝色）**
- **价格**：创新高
- **OBV**：创更低的高点
- **信号**：潜在向下反转
- **标签**："看跌"
- **用途**：进入空头仓位或退出多头
**隐藏看涨背离（浅黄色）**
- **价格**：创更高的低点
- **OBV**：创更低的低点
- **信号**：趋势延续（上升趋势）
- **标签**："隐藏看涨"
- **用途**：加仓多头
**隐藏看跌背离（浅蓝色）**
- **价格**：创更低的高点
- **OBV**：创更高的高点
- **信号**：趋势延续（下降趋势）
- **标签**："隐藏看跌"
- **用途**：加仓空头
#### 6. **可自定义的背离检测**
**枢轴回溯设置：**
- **左侧回溯**：枢轴点左侧K线数（默认：5）
- **右侧回溯**：枢轴点右侧K线数（默认：5）
- 决定一个点要多"极端"才能成为枢轴点
**范围设置：**
- **最大范围**：枢轴点之间最大K线数（默认：60）
- **最小范围**：枢轴点之间最小K线数（默认：5）
- 过滤太近或太远的背离
**显示选项：**
- 开关常规背离
- 开关隐藏背离
- 开关背离标签
- 只显示需要的背离
### 配置设置
#### 平滑设置
- **平滑类型**：选择MA类型（None/SMA/EMA/SMMA/WMA/VWMA）
- **平滑长度**：平滑周期数（默认：21）
#### 计算设置
- **时间周期**：选择计算时间框架（空 = 当前图表）
#### 显示设置
- **显示OBV点线**：切换阶梯线显示
- **显示OBV柱状图**：切换柱状图显示
- **显示背景颜色**：切换背景着色
- **显示突破标签**：切换突破/跌破标签
#### 背离设置
- **枢轴右侧回溯**：枢轴检测右侧K线数（默认：5）
- **枢轴左侧回溯**：枢轴检测左侧K线数（默认：5）
- **回看范围最大值**：背离之间最大K线数（默认：60）
- **回看范围最小值**：背离之间最小K线数（默认：5）
- **显示常规背离**：启用/禁用常规背离
- **显示常规背离标签**：启用/禁用常规背离标签
- **显示隐藏背离**：启用/禁用隐藏背离
- **显示隐藏背离标签**：启用/禁用隐藏背离标签
### 使用方法
#### 趋势确认
1. **用价格识别趋势**
- 上升趋势：更高的高点和更高的低点
- 下降趋势：更低的高点和更低的低点
2. **用OBV振荡器确认**
- 强劲上升趋势：OBV振荡器保持正值
- 强劲下降趋势：OBV振荡器保持负值
- 弱势趋势：OBV振荡器频繁穿越零线
3. **成交量确认**
- 趋势伴随上升的OBV = 强趋势
- 趋势伴随下降的OBV = 弱趋势（注意反转）
#### 背离交易
1. **启用背离检测**
- 先从常规背离开始
- 添加隐藏背离用于趋势延续
2. **等待背离信号**
- 黄色标签 = 潜在看涨反转
- 蓝色标签 = 潜在看跌反转
3. **用价格行为确认**
- 等待支撑/阻力突破
- 寻找K线确认
- 检查更高时间框架对齐
4. **进入交易**
- 确认后进入
- 在近期波动之外设置止损
- 基于前一波动或支撑/阻力设定目标
#### 突破交易
1. **启用穿越标签**
- 识别振荡器何时穿越零线
2. **确认成交量强度**
- 强突破有大振荡器移动
- 弱突破勉强穿越零线
3. **交易方向**
- "突破"标签 = 进入多头
- "跌破"标签 = 进入空头
4. **管理仓位**
- 振荡器反向穿越时退出
- 使用价格结构设置止损
#### 多时间框架分析
1. **设置更高时间框架**
- 例如：在15分钟图上，设置时间框架为1H或4H
2. **识别更高时间框架趋势**
- 正振荡器 = 上升趋势偏向
- 负振荡器 = 下降趋势偏向
3. **顺趋势交易**
- 仅在上升趋势中接受多头信号
- 仅在下降趋势中接受空头信号
4. **把握入场时机**
- 使用当前时间框架进行精确进入
- 用更高时间框架方向确认
### 交易策略
#### 策略1：常规背离反转
**设置：**
1. 价格处于强趋势（上涨或下跌）
2. 出现常规背离
3. 价格到达支撑/阻力水平
**入场：**
- 看涨：在"看涨"标签后，价格突破近期高点时
- 看跌：在"看跌"标签后，价格跌破近期低点时
**止损：**
- 看涨：背离低点之下
- 看跌：背离高点之上
**退出：**
- 在下一个主要支撑/阻力获利
- 或出现相反背离时
**适合：**波段交易、反转交易
#### 策略2：隐藏背离延续
**设置：**
1. 建立明确趋势
2. 价格回调（回撤）
3. 出现隐藏背离
**入场：**
- 看涨：在"隐藏看涨"标签后，价格恢复上升趋势时
- 看跌：在"隐藏看跌"标签后，价格恢复下降趋势时
**止损：**
- 在回调波动点之后
**退出：**
- 随着趋势延续移动止损
- 出现常规背离（反转信号）时退出
**适合：**趋势跟随、加仓
#### 策略3：零线穿越
**设置：**
1. 启用穿越标签
2. 振荡器穿越零线
3. 用价格结构突破确认
**入场：**
- "突破"标签 = 买入信号
- "跌破"标签 = 卖出信号
**止损：**
- 近期波动之下/之上
**退出：**
- 振荡器反向穿越零线时
- 或在预定目标
**适合：**动量交易、快速交易
#### 策略4：多时间框架汇合
**设置：**
1. 设置指标到更高时间框架（例如，在1H图上设置4H）
2. 等待更高TF振荡器为正（上升趋势）或负（下降趋势）
3. 在当前时间框架上寻找与更高TF一致的入场机会
**入场：**
- 多头：两个时间框架都显示正振荡器或看涨背离时
- 空头：两个时间框架都显示负振荡器或看跌背离时
**止损：**
- 基于当前时间框架结构
**退出：**
- 更高时间框架振荡器变为负（多头）或正（空头）时
**适合：**波段交易、高概率设置
### 最佳实践
#### 成交量分析
1. **强势波动需要成交量**
- 价格上涨 + 上升的OBV = 健康上升趋势
- 价格上涨 + 下降的OBV = 弱上升趋势（警告）
2. **注意确认**
- 新高伴随新OBV高点 = 已确认
- 新高没有新OBV高点 = 潜在背离
3. **考虑背景**
- 低成交量期（亚洲时段、假期）= 可靠性较低
- 高成交量期（新闻、伦敦/纽约重叠）= 更可靠
#### 背离交易技巧
1. **不是所有背离都有效**
- 等待价格确认
- 在超卖/超买区域更强
- 在支撑/阻力水平更好
2. **多重背离**
- 同一趋势上多个背离 = 更强信号
- 背离快速失败 = 忽略并等待下一个
3. **时间框架重要**
- 更高时间框架背离 = 更可靠
- 更低时间框架背离 = 更频繁，可靠性较低
#### 平滑选择
1. **无平滑（None）**
- 最敏感，更多信号
- 更多噪音，更多假信号
- 适合：剥头皮、非常活跃的交易
2. **EMA（默认）**
- 平衡方法
- 适合大多数策略
- 适合：波段交易、日内交易
3. **SMMA (RMA)**
- 非常平滑，更少信号
- 对突然变化响应较慢
- 适合：仓位交易、更长时间框架
### 指标组合
**与移动平均线配合：**
- 使用EMA确定趋势方向
- OBV确认成交量
- 两者一致时进入
**与RSI配合：**
- RSI用于超买超卖
- OBV用于成交量确认
- 两者都背离 = 更强信号
**与价格行为配合：**
- 支撑/阻力确定水平
- OBV确认强度
- 正OBV的突破 = 更可能成功
**与Bias指标配合：**
- Bias用于价格偏离
- OBV用于成交量确认
- 两者都显示背离 = 高概率反转
### 常见形态
1. **积累**：OBV上升而价格盘整（突破可能）
2. **派发**：OBV下降而价格盘整（跌破可能）
3. **确认**：OBV和价格都创新高/新低（趋势强劲）
4. **背离**：OBV和价格反向移动（反转警告）
5. **假突破**：价格突破但OBV不确认（可能失败）
### 性能提示
- 禁用未使用的显示功能以加快加载
- 先从常规背离开始，稍后添加隐藏背离
- 使用柱状图快速视觉参考
- 启用穿越标签以获得清晰的入场信号
- 为您的市场测试不同的平滑长度
### 警报条件
指标包含以下警报：
- 检测到常规看涨背离
- 检测到常规看跌背离
- 检测到隐藏看涨背离
- 检测到隐藏看跌背离
**如何设置警报：**
1. 点击指标名称
2. 选择"添加警报"
3. 选择条件
4. 配置通知方法
---
## Technical Support
For questions or issues, please refer to the TradingView community or contact the indicator creator.
## 技术支持
如有问题，请参考TradingView社区或联系指标创建者。
Smart Trail Signals NO CONDITIONSSmart Trail Signals Indicator
Overview
This is a trend-following indicator that uses a dynamic trailing stop system to identify bullish and bearish trends. It adapts to market volatility using ATR (Average True Range) and provides visual signals when the trend direction changes.
Core Components
Smart Trail System:
Calculates dynamic support (trail_up) and resistance (trail_down) levels
Adjusts trail levels based on price movement and volatility
Maintains trend direction until price crosses the opposite trail level
Key Parameters:
Length (14): Period for ATR calculation
Multiplier (2.0): Distance of trail from price relative to ATR
Sensitivity (1-5): Fine-tunes how quickly the trail adapts to price changes
How It Works
Trend Detection: Monitors whether price is above the support trail (bullish) or below the resistance trail (bearish)
Trail Movement:
In uptrends: Support trail rises with price but never decreases
In downtrends: Resistance trail falls with price but never increases
Signals: Diamond shapes appear when trend flips:
Green diamond below bar = bullish trend change
Red diamond above bar = bearish trend change
Visual Aids:
Trail line changes color (lime for uptrend, red for downtrend)
Candles colored green (bullish), red (bearish), or gray (neutral)
Best Use Cases
Identifying trend reversals on any timeframe
Following strong directional moves
Setting dynamic stop-loss levels
Works 24/7 on all instruments (stocks, crypto, forex)
RetryClaude can make mistakes. Please double-check responses. Sonnet 4.5
MTF EMA Trading SystemHere's a comprehensive description and usage guide for publishing your MTF EMA Trading System indicator on TradingView:
MTF EMA Trading System - Pro Edition
📊 Indicator Overview
The MTF EMA Trading System is an advanced multi-timeframe exponential moving average indicator designed for traders seeking high-probability setups with multiple confirmations. Unlike simple EMA crossover systems, this indicator combines trend alignment, momentum, volume analysis, and previous day confluence to generate reliable long and short signals with optimal risk-reward ratios.
✨ Key Features
1. Multi-Timeframe EMA Analysis
Configure 5 independent EMAs (default: 9, 21, 50, 100, 200)
Each EMA can pull data from ANY timeframe (5m, 15m, 1H, 4H, 1D, etc.)
Color-coded lines with customizable widths
End-of-line labels showing EMA period and timeframe (e.g., "EMA200 ")
Perfect for analyzing higher timeframe trends on lower timeframe charts
2. Advanced Signal Generation (Beyond Simple Crosses)
The system requires MULTIPLE confirmations before generating a signal:
LONG Signals Require:
✅ Price action trigger (EMA cross, bounce from key EMA, or pullback setup)
✅ Bullish EMA alignment (EMAs in proper ascending order)
✅ Volume spike confirmation (configurable threshold)
✅ RSI momentum confirmation (bullish but not overbought)
✅ Sufficient EMA separation (avoids choppy/whipsaw conditions)
✅ Price above previous day's low (confluence with support)
SHORT Signals Require:
✅ Price action trigger (EMA cross, rejection from key EMA, or pullback setup)
✅ Bearish EMA alignment (EMAs in proper descending order)
✅ Volume spike confirmation
✅ RSI momentum confirmation (bearish but not oversold)
✅ Sufficient EMA separation
✅ Price below previous day's high (confluence with resistance)
3. Real-Time Dashboard
Displays critical market conditions at a glance:
Overall trend direction (Bullish/Bearish/Neutral)
Price position relative to all EMAs
Volume status (spike or normal)
RSI momentum reading
EMA confluence strength
EMA separation quality
Current ATR value
Previous day high/low levels
Current signal status (LONG/SHORT/WAIT)
Risk-reward ratio
4. Clean Visual Design
Large, clear trade signal markers (green triangles for LONG, red triangles for SHORT)
No chart clutter - only essential information displayed
Customizable signal sizes
Professional color-coded dashboard
5. Built-In Risk Management
ATR-based calculations for stop loss placement
1:2 risk-reward ratio by default
All levels displayed in dashboard for easy reference
🎯 How to Use This Indicator
Step 1: Initial Setup
Add the indicator to your TradingView chart
Configure your preferred timeframes for each EMA:
EMA 9: Leave blank (uses chart timeframe) - Fast reaction to price
EMA 21: Leave blank or set to 15m - Key pivot level
EMA 50: Set to 1H - Intermediate trend
EMA 100: Set to 4H - Major trend filter
EMA 200: Set to 1D - Overall market bias
Adjust signal settings based on your trading style:
Conservative: Keep all confirmations enabled
Aggressive: Disable volume or momentum requirements
Scalping: Reduce min EMA separation to 0.2-0.3%
Step 2: Reading the Dashboard
Before taking any trade, check the dashboard:
Trend: Only take LONG signals in bullish trends, SHORT signals in bearish trends
Position: Confirm price is on the correct side of EMAs
Volume: Green spike = strong confirmation
RSI: Avoid extremes (>70 or <30)
Confluence: "Strong" = high probability setup
Separation: "Good" = trending market, avoid "Low" separation
Step 3: Trade Entry
For LONG Trades:
Wait for green triangle to appear below price
Verify dashboard shows:
Bullish or Neutral trend
Volume spike (preferred)
RSI between 50-70
Good separation
Enter at market or on next bar
Set stop loss at: Entry - (ATR × 2)
Set target at: Entry + (ATR × 4)
For SHORT Trades:
Wait for red triangle to appear above price
Verify dashboard shows:
Bearish or Neutral trend
Volume spike (preferred)
RSI between 30-50
Good separation
Enter at market or on next bar
Set stop loss at: Entry + (ATR × 2)
Set target at: Entry - (ATR × 4)
Step 4: Trade Management
Use the ATR values from dashboard for position sizing
Trail stops using the fastest EMA (EMA 9) as price moves in your favor
Exit partial position at 1:1 risk-reward, let remainder run to target
Exit immediately if dashboard trend changes against your position
💡 Best Practices
Timeframe Recommendations:
Scalping: 1m-5m chart with 5m, 15m, 1H, 4H, 1D EMAs
Day Trading: 5m-15m chart with 15m, 1H, 4H, 1D EMAs
Swing Trading: 1H-4H chart with 4H, 1D, 1W EMAs
Position Trading: 1D chart with 1D, 1W, 1M EMAs
Market Conditions:
Best in: Trending markets with clear direction
Avoid: Tight consolidation, low volume periods, major news events
Filter trades: Only take signals aligned with higher timeframe trend
Risk Management:
Never risk more than 1-2% per trade
Use ATR from dashboard to calculate position size
Respect the stop loss levels
Don't force trades when dashboard shows weak conditions
⚙️ Customization Options
EMA Settings (for each of 5 EMAs):
Length (period)
Timeframe (multi-timeframe capability)
Color
Line width
Show/hide toggle
Signal Settings:
Volume confirmation (on/off)
Volume spike threshold (1.0-3.0x)
Momentum confirmation (on/off)
RSI overbought/oversold levels
Minimum EMA separation percentage
ATR period and stop multiplier
Display Settings:
Show/hide EMA labels
Show/hide trade signals
Signal marker size (tiny/small/normal/large)
Show/hide dashboard
🔔 Alert Setup
The indicator includes 4 alert conditions:
LONG Signal - Fires when all long confirmations are met
SHORT Signal - Fires when all short confirmations are met
Bullish Setup - Early warning when trend aligns bullish with volume
Bearish Setup - Early warning when trend aligns bearish with volume
To set up alerts:
Right-click on chart → Add Alert
Select "MTF EMA Trading System"
Choose your desired alert condition
Configure notification method (popup, email, SMS, webhook)
📈 Performance Tips
Increase Win Rate:
Only trade in direction of higher timeframe trend
Wait for volume spike confirmation
Avoid trades during first 30 minutes and last 15 minutes of session
Skip trades when separation is "Low"
Reduce False Signals:
Increase minimum EMA separation to 0.7-1.0%
Enable all confirmation requirements
Only trade when confluence shows "Strong"
Combine with support/resistance levels
Optimize for Your Market:
Stocks: Use 9, 21, 50, 100, 200 EMAs
Forex: Consider 8, 13, 21, 55, 89 EMAs (Fibonacci)
Crypto: May need wider ATR multiplier (2.5-3.0x) for volatility
⚠️ Important Notes
This indicator is designed to reduce false signals by requiring multiple confirmations
No indicator is 100% accurate - always use proper risk management
Backtesting recommended before live trading
Market conditions change - adjust settings as needed
Works best in liquid markets with clear price action
🎓 Conclusion
The MTF EMA Trading System transforms simple moving average analysis into a sophisticated, multi-confirmation trading strategy. By combining trend alignment, momentum, volume, and confluence, it helps traders identify high-probability setups while filtering out noise and false signals. The clean interface and comprehensive dashboard make it suitable for both beginners and experienced traders across all markets and timeframes.
TMB Invest - Smart Money Concept StrategyEnglish:
**Quick Overview**
The "TMB_SMC_Strategy_v1.1.3" combines a classic trend filter using two EMAs with contrarian RSI entries and simple SMC elements (Fair Value Gaps & Order Blocks). Stop-loss and take-profit orders are volatility-adaptive and controlled via the ATR. An integrated dashboard displays the setup status, stop-loss/take-profit levels, entry reference, and trend, RSI, and ATR values.
---
## Operating Principle
1. **Trend Filter:** A fast EMA (default 50) is compared to a slow EMA (default 200). Trading occurs only in the direction of the trend: long in uptrends, short in downtrends.
2. **Timing via RSI:** Contrarian entries within the trend. Go long when the RSI is below a buy level (default 40); Short when the RSI is above a sell level (standard 60).
3. **Structure Check (SMC Proxy):** An "FVG Touch" serves as additional confirmation that an inefficient price zone has been tested. Order blocks are visualized for guidance but are not a direct entry trigger.
4. **Risk Management via ATR:** Stop-loss and take-profit levels are set as multipliers of the current ATR (e.g., SL = 1×ATR, TP = 2×ATR). This allows target and risk distances to adjust to market volatility.
5. **Simple Position Logic:** Only one position is held at a time (no pyramiding). After entry, stop and limit orders (bracket exit) are automatically placed.
---
## Input Values
* **EMA Fast / EMA Slow:** Lengths of the moving averages for the trend filter.
* **RSI Length / Levels:** Length of the RSI as well as buy and sell thresholds (contra signals within the trend direction).
* **Take Profit (RR) / Stop Loss (RR):** ATR multipliers for TP and SL.
* **Show FVGs & Order Blocks:** Toggles the visual SMC elements (zones/boxes) on or off.
--
## Signals & Execution
* **Long Setup:** Uptrend (fast EMA above slow EMA) **and** RSI below the buy level **and** a current FVG signal in a bullish direction.
* **Short Setup:** Downtrend (fast EMA below slow EMA) **and** RSI above the sell level **and** a current FVG touch in a bearish direction.
* **Entry & Exit:** If the setup is met, the market is entered; stop-loss/take-profit orders are placed immediately according to ATR multiples.
--
## Visualization
* **EMAs:** The fast and slow EMAs are plotted to illustrate the trend.
* **FVGs:** Fair Value Gaps are drawn as semi-transparent boxes in the trend color and projected slightly into the future.
* **Order Blocks:** Potential order block zones from the previous candle are visually highlighted (for informational purposes only).
---
## Integrated Dashboard
A compact table dashboard (bottom left) displays:
* Current **Setup Status** (Long/Short active, Long/Short ready, No Setup),
* **Stop-Loss**, **Take-Profit**, and **Entry Reference**,
* **Trend Status** (Bull/Bear/Sideways),
* **RSI Value**, and **ATR Value**.
Active long/short positions are highlighted in color (green/red).
--
## Practical Guide
1. **Place on Chart** and select the desired timeframe.
2. **Calibrate Parameters** (EMA lengths, RSI levels, ATR multipliers) to match the market and timeframe.
3. **Backtest** across different market phases; prioritize robustness over maximum curve fit.
4. **Fine-Tuning:**
* Shorter EMAs are often useful intraday (e.g., 20/100 or 34/144).
* Adjust RSI levels to market characteristics (45/55 for aggressive trading, 30/70 for conservative trading).
* Increase or decrease ATR multipliers depending on volatility/trading style.
--
## Notes, Limitations & Extensions
* **FVG Definition:** The FVG detection used here is intentionally simplified. Those who prefer a more rigorous approach can switch to a 3-candle definition and fill levels.
* **Order Blocks:** These primarily serve as a guide. Integration into entry/exit logic (e.g., retests) is possible as an extension.
* **Backtest Realism:** Fills may differ from the displayed closing price. For greater accuracy, intrabar backtests or an entry indicator based on the average position price are conceivable.
* **Alerts:** Currently, no alert conditions are defined; these can be added for long/short setups and status messages.
* **Position Management:** By default, no scaling is performed. Partial sales, trailing stops, or multiple entries can be added.
---
## Purpose & Benefits
The strategy offers a clear, modular framework: trend filter (direction), RSI contra timing (entry), SMC proxy via FVG Touch (structure), and ATR-based exits (risk adaptation). This makes it robust, easy to understand, and highly extensible—both for discretionary traders who appreciate visual SMC elements and for systematic testers who prefer a clean, parameterizable foundation.
ATR x Trend x Volume SignalsATR x Trend x Volume Signals is a multi-factor indicator that combines volatility, trend, and volume analysis into one adaptive framework. It is designed for traders who use technical confluence and prefer clear, rule-based setups.
🎯 Purpose
This tool identifies high-probability market moments when volatility structure (ATR), momentum direction (CCI-based trend logic), and volume expansion all align. It helps filter out noise and focus on clean, actionable trade conditions.
⚙️ Structure
The indicator consists of three main analytical layers:
1️⃣ ATR Trailing Stop – calculates two adaptive ATR lines (fast and slow) that define volatility context, trend bias, and potential reversal points.
2️⃣ Trend Indicator (CCI + ATR) – uses a CCI-based logic combined with ATR smoothing to determine the dominant trend direction and reduce false flips.
3️⃣ Volume Analysis – evaluates volume deviations from their historical average using standard deviation. Bars are highlighted as medium, high, or extra-high volume depending on intensity.
💡 Signal Logic
A Buy Signal (green) appears when all of the following are true:
• The ATR (slow) line is green.
• The Trend Indicator is blue.
• A bullish candle closes above both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
A Sell Signal (red) appears when:
• The ATR (slow) line is red.
• The Trend Indicator is red.
• A bearish candle closes below both the ATR (slow) and the Trend Indicator.
• The candle shows medium, high, or extra-high volume.
Only one signal can appear per ATR trend phase. A new signal is generated only after the ATR direction changes.
❌ Exit Logic
Exit markers are shown when price crosses the slow ATR line. This behavior simulates a trailing stop exit. The exit is triggered one bar after entry to prevent same-bar exits.
⏰ Session Filter
Signals are generated only between the user-defined session start and end times (default: 14:00–18:00 chart time). This allows the trader to limit signal generation to active trading hours.
💬 Practical Use
It is recommended to trade with a fixed risk-reward ratio such as 1 : 1.5. Stop-loss placement should be beyond the slow ATR line and adjusted gradually as the trade develops.
For better confirmation, the Trend Indicator timeframe should be higher than the chart timeframe (for example: trading on 1 min → set Trend Indicator timeframe to 15 min; trading on 5 min → set to 1 hour).
🧠 Main Features
• Dual ATR volatility structure (fast and slow)
• CCI-based trend direction filtering
• Volume deviation heatmap logic
• Time-restricted signal generation
• Dynamic trailing-stop exit system
• Non-repainting logic
• Fully optimized for Pine Script v6
📊 Usage Tip
Best results are achieved when combining this indicator with additional technical context such as support-resistance, higher-timeframe confirmation, or market structure analysis.
📈 Credits
Inspired by:
• ATR Trailing Stop by Ceyhun
• Trend Magic by Kivanc Ozbilgic
• Heatmap Volume by xdecow
TrendShield Pro | DinkanWorldSmart Trailing Trend System Powered by EMA + ATR
TrendShield Pro is a powerful trend detection and trailing stop indicator designed for traders who rely on pure price movement and volatility tracking.
It dynamically adapts to market conditions using a combination of EMA (Exponential Moving Average) and ATR (Average True Range) to identify the active trend and place a visual trailing stop line.
🔍 How It Works
TrendShield Pro combines trend direction and volatility to create a self-adjusting trailing system:
EMA (Exponential Moving Average):
Smooths price fluctuations and identifies the overall market bias.
ATR (Average True Range):
Measures volatility to determine how far the trailing stop should follow the trend.
Dynamic Bands:
Two invisible thresholds are formed — up and down — around the EMA using the ATR and your chosen Factor value.
Trailing Logic:
When the EMA is rising, the Trailing Stop (TUp) locks in higher lows.
When the EMA is falling, the Trailing Stop (TDown) locks in lower highs.
The indicator switches trend automatically based on price crossing these trailing levels.
🧭 Visuals & Features
Green Trailing Line (Demand Trend): Indicates an active bullish trend.
Red Trailing Line (Supply Trend): Indicates an active bearish trend.
Arrow Signals:
🟢 Up Arrow → Bullish Trend Reversal
🔴 Down Arrow → Bearish Trend Reversal
Diamond Markers: Show points where the trailing line shifts, marking dynamic volatility changes.
⚙️ Inputs
Input Description
EMA Period Length of the Exponential Moving Average
ATR Period Period used for Average True Range calculation
Factor Multiplier for ATR-based volatility expansion
Uptrick: Volatility Adjusted TrailIntroduction
The "Uptrick: Volatility Adjusted Trail" is a dynamic trailing band indicator. It adapts in real time to changing market conditions by adjusting both to volatility and trend consistency. Inspired by Supertrend-style logic, it enhances traditional approaches by introducing adaptive mechanisms for more context-sensitive behavior in both trending and consolidating environments.
Overview
This indicator combines an exponential moving average (EMA) as its basis with an Average True Range (ATR)-derived multiplier that adjusts dynamically. Unlike fixed-multiplier tools, this indicator modifies its band distances in real time according to volatility expansion and trend persistence. The result is a trailing system that adapts to the prevailing market regime, providing traders with clearer signals for trend bias, stop placement, and potential momentum shifts.
Originality
The script’s originality lies in its multi-layered approach to trail calculation. It introduces a real-time ATR multiplier adjustment driven by two factors: a volatility expansion ratio and a trend persistence model. The expansion ratio compares the current ATR to its moving average, making the indicator more sensitive during volatile conditions and less sensitive during quieter periods. The trend persistence model assesses directional consistency to widen the bands during sustained trends. This dual adjustment method creates a system that evolves with market behavior, making it more responsive and adaptive than static-band or fixed-multiplier alternatives.
Components & Inspiration
This indicator was designed with specific components that work together:
Exponential Moving Average (EMA): Chosen as the central baseline because it responds faster to recent price changes than a simple moving average, providing a more current reference for trailing bands.
Average True Range (ATR): Used as the volatility measure because it accounts for both intraday and gap movement, making it a robust and widely accepted standard for market volatility.
Dynamic Multiplier: The multiplier is adjusted by both volatility expansion and trend persistence to produce bands that tighten during low volatility and widen during consistent trends. This combination was chosen to give the indicator the ability to self-regulate across different market regimes.
Trend Persistence Model: Integrated to assess directional consistency, ensuring the bands expand during strong trends, which can prevent premature stop-outs.
Flip Confirmation Logic: Added to filter out noise by requiring multiple bar closes beyond a band before confirming a state change, reducing false reversals.
For inspiration, the indicator draws on the core idea behind Supertrend—using a baseline and volatility-derived bands to define trailing stop levels. However, while Supertrend uses a fixed ATR multiplier, this indicator introduces a dynamic multiplier system and persistence weighting, making it more adaptive and suited for varying conditions.
Inputs and Parameters
Basis EMA Length
Defines the period for the EMA that serves as the core price reference.
ATR Length
Sets the lookback period for the Average True Range calculation used in band spacing.
Base ATR Mult
The base multiplier applied to ATR before adjustments. Forms the starting scale of the band offset.
Volatility Expansion Sensitivity
Controls how strongly the band spacing reacts to short-term volatility bursts. Higher values create more pronounced band expansions or contractions.
Trend Persistence Window
Determines how many bars are used to calculate directional trend consistency using a smoothed step function.
Persistence Impact
Scales how much influence the trend persistence has on band widening. Values range from 0 (no effect) to 1 (maximum effect).
Min Effective Mult
Sets the minimum value that the adjusted multiplier can reach. Prevents the bands from becoming too narrow.
Max Effective Mult
Sets the maximum value the adjusted multiplier can reach. Prevents the bands from over-expanding during high volatility.
Bars Above/Below to Confirm Flip
Number of consecutive bars required to close above or below the opposing trail before confirming a bullish or bearish flip. Helps reduce noise and false signals.
Show Flip Labels
Enables or disables the display of flip markers on the chart.
Label Size
Allows users to adjust the size of flip labels from Tiny to Huge.
Label ATR Offset
Adjusts the vertical placement of flip labels in relation to the trail using an ATR-based offset.
Features and Logic
EMA Basis: All calculations stem from an EMA that tracks the centerline of price action.
Dynamic ATR Multiplier: The ATR multiplier adjusts in real time based on volatility expansion and trend persistence.
Clamped Multiplier: The adjusted multiplier is limited between user-defined minimum and maximum values to keep the band scale practical.
Upper and Lower Bands: Bands are plotted above and below the EMA using the dynamic multiplier and ATR values.
Trailing Logic: The script uses Supertrend-style trailing logic, updating the active band in the current trend direction and resetting the opposite band.
Trend State Detection: A state variable tracks the current market regime (bullish, bearish, or neutral). Transitions are confirmed only after a user-specified number of bars close beyond the respective bands.
Visual Elements: Trail lines and fill zones are color-coded (bullish cyan, bearish magenta). Candlestick and bar colors match the trend state. Optional flip labels mark confirmed transitions.
Alerts: Built-in alert conditions allow users to receive real-time notifications for bullish or bearish flips.
Usage Guidelines
This indicator can be used for:
Defining context-aware dynamic stop levels that adjust with market behavior.
Identifying trend direction and reversal points based on adaptive logic.
Filtering entry or exit signals during trending vs. consolidating conditions.
Supplementing trade management strategies with responsive visual markers.
Entering long or short positions based on the appearance of flip labels and managing stop losses by following the adaptive trail.
Traders may tune the parameters to suit different trading styles or timeframes. For example, lower ATR and EMA values may suit intraday setups, while longer settings may benefit swing or positional trading.
Summary
The "Uptrick: Volatility Adjusted Trail" provides a flexible, adaptive trailing band system that accounts for both volatility and directional consistency. By combining an EMA baseline with a dynamic ATR multiplier influenced by volatility expansion and trend persistence, it creates a context-sensitive trailing system that aligns with changing market conditions. Customizable confirmation, flip labels, alerts, and dynamic visual cues make it a versatile tool for trend-following, breakout filtering, and trailing stop logic.
Disclaimer
This indicator is provided for educational and research purposes only. It does not constitute financial advice. Trading involves risk, and past performance does not guarantee future results. Always conduct your own analysis and risk management before making trading decisions.
Kalman Filter [DCAUT]█ Kalman Filter
📊 ORIGINALITY & INNOVATION
The Kalman Filter represents an important adaptation of aerospace signal processing technology to financial market analysis. Originally developed by Rudolf E. Kalman in 1960 for navigation and guidance systems, this implementation brings the algorithm's noise reduction capabilities to price trend analysis.
This implementation addresses a common challenge in technical analysis: the trade-off between smoothness and responsiveness. Traditional moving averages must choose between being smooth (with increased lag) or responsive (with increased noise). The Kalman Filter improves upon this limitation through its recursive estimation approach, which continuously balances historical trend information with current price data based on configurable noise parameters.
The key advancement lies in the algorithm's adaptive weighting mechanism. Rather than applying fixed weights to historical data like conventional moving averages, the Kalman Filter dynamically adjusts its trust between the predicted trend and observed prices. This allows it to provide smoother signals during stable periods while maintaining responsiveness during genuine trend changes, helping to reduce whipsaws in ranging markets while not missing significant price movements.
📐 MATHEMATICAL FOUNDATION
The Kalman Filter operates through a two-phase recursive process:
Prediction Phase:
The algorithm first predicts the next state based on the previous estimate:
State Prediction: Estimates the next value based on current trend
Error Covariance Prediction: Calculates uncertainty in the prediction
Update Phase:
Then updates the prediction based on new price observations:
Kalman Gain Calculation: Determines the weight given to new measurements
State Update: Combines prediction with observation based on calculated gain
Error Covariance Update: Adjusts uncertainty estimate for next iteration
Core Parameters:
Process Noise (Q): Represents uncertainty in the trend model itself. Higher values indicate the trend can change more rapidly, making the filter more responsive to price changes.
Measurement Noise (R): Represents uncertainty in price observations. Higher values indicate less trust in individual price points, resulting in smoother output.
Kalman Gain Formula:
The Kalman Gain determines how much weight to give new observations versus predictions:
K = P(k|k-1) / (P(k|k-1) + R)
Where:
K is the Kalman Gain (0 to 1)
P(k|k-1) is the predicted error covariance
R is the measurement noise parameter
When K approaches 1, the filter trusts new measurements more (responsive).
When K approaches 0, the filter trusts its prediction more (smooth).
This dynamic adjustment mechanism allows the filter to adapt to changing market conditions automatically, providing an advantage over fixed-weight moving averages.
📊 COMPREHENSIVE SIGNAL ANALYSIS
Visual Trend Indication:
The Kalman Filter line provides color-coded trend information:
Green Line: Indicates the filter value is rising, suggesting upward price momentum
Red Line: Indicates the filter value is falling, suggesting downward price momentum
Gray Line: Indicates sideways movement with no clear directional bias
Crossover Signals:
Price-filter crossovers generate trading signals:
Golden Cross: Price crosses above the Kalman Filter line, suggests potential bullish momentum development, may indicate a favorable environment for long positions, filter will naturally turn green as it adapts to price moving higher
Death Cross: Price crosses below the Kalman Filter line, suggests potential bearish momentum development, may indicate consideration for position reduction or shorts, filter will naturally turn red as it adapts to price moving lower
Trend Confirmation:
The filter serves as a dynamic trend baseline:
Price Consistently Above Filter: Confirms established uptrend
Price Consistently Below Filter: Confirms established downtrend
Frequent Crossovers: Suggests ranging or choppy market conditions
Signal Reliability Factors:
Signal quality varies based on market conditions:
Higher reliability in trending markets with sustained directional moves
Lower reliability in choppy, range-bound conditions with frequent reversals
Parameter adjustment can help adapt to different market volatility levels
🎯 STRATEGIC APPLICATIONS
Trend Following Strategy:
Use the Kalman Filter as a dynamic trend baseline:
Enter long positions when price crosses above the filter
Enter short positions when price crosses below the filter
Exit when price crosses back through the filter in the opposite direction
Monitor filter slope (color) for trend strength confirmation
Dynamic Support/Resistance:
The filter can act as a moving support or resistance level:
In uptrends: Filter often provides dynamic support for pullbacks
In downtrends: Filter often provides dynamic resistance for bounces
Price rejections from the filter can offer entry opportunities in trend direction
Filter breaches may signal potential trend reversals
Multi-Timeframe Analysis:
Combine Kalman Filters across different timeframes:
Higher timeframe filter identifies primary trend direction
Lower timeframe filter provides precise entry and exit timing
Trade only in direction of higher timeframe trend for better probability
Use lower timeframe crossovers for position entry/exit within major trend
Volatility-Adjusted Configuration:
Adapt parameters to match market conditions:
Low Volatility Markets (Forex majors, stable stocks): Use lower process noise for stability, use lower measurement noise for sensitivity
Medium Volatility Markets (Most equities): Process noise default (0.05) provides balanced performance, measurement noise default (1.0) for general-purpose filtering
High Volatility Markets (Cryptocurrencies, volatile stocks): Use higher process noise for responsiveness, use higher measurement noise for noise reduction
Risk Management Integration:
Use filter as a trailing stop-loss level in trending markets
Tighten stops when price moves significantly away from filter (overextension)
Wider stops in early trend formation when filter is just establishing direction
Consider position sizing based on distance between price and filter
📋 DETAILED PARAMETER CONFIGURATION
Source Selection:
Determines which price data feeds the algorithm:
OHLC4 (default): Uses average of open, high, low, close for balanced representation
Close: Focuses purely on closing prices for end-of-period analysis
HL2: Uses midpoint of high and low for range-based analysis
HLC3: Typical price, gives more weight to closing price
HLCC4: Weighted close price, emphasizes closing values
Process Noise (Q) - Adaptation Speed Control:
This parameter controls how quickly the filter adapts to changes:
Technical Meaning:
Represents uncertainty in the underlying trend model
Higher values allow the estimated trend to change more rapidly
Lower values assume the trend is more stable and slow-changing
Practical Impact:
Lower Values: Produces very smooth output with minimal noise, slower to respond to genuine trend changes, best for long-term trend identification, reduces false signals in choppy markets
Medium Values: Balanced responsiveness and smoothness, suitable for swing trading applications, default (0.05) works well for most markets
Higher Values: More responsive to price changes, may produce more false signals in ranging markets, better for short-term trading and day trading, captures trend changes earlier, adjust freely based on market characteristics
Measurement Noise (R) - Smoothing Control:
This parameter controls how much the filter trusts individual price observations:
Technical Meaning:
Represents uncertainty in price measurements
Higher values indicate less trust in individual price points
Lower values make each price observation more influential
Practical Impact:
Lower Values: More reactive to each price change, less smoothing with more noise in output, may produce choppy signals
Medium Values: Balanced smoothing and responsiveness, default (1.0) provides general-purpose filtering
Higher Values: Heavy smoothing for very noisy markets, reduces whipsaws significantly but increases lag in trend change detection, best for cryptocurrency and highly volatile assets, can use larger values for extreme smoothing
Parameter Interaction:
The ratio between Process Noise and Measurement Noise determines overall behavior:
High Q / Low R: Very responsive, minimal smoothing
Low Q / High R: Very smooth, maximum lag reduction
Balanced Q and R: Middle ground for most applications
Optimization Guidelines:
Start with default values (Q=0.05, R=1.0)
If too many false signals: Increase R or decrease Q
If missing trend changes: Decrease R or increase Q
Test across different market conditions before live use
Consider different settings for different timeframes
📈 PERFORMANCE ANALYSIS & COMPETITIVE ADVANTAGES
Comparison with Traditional Moving Averages:
Versus Simple Moving Average (SMA):
The Kalman Filter typically responds faster to genuine trend changes
Produces smoother output than SMA of comparable length
Better noise reduction in ranging markets
More configurable for different market conditions
Versus Exponential Moving Average (EMA):
Similar responsiveness but with better noise filtering
Less prone to whipsaws in choppy conditions
More adaptable through dual parameter control (Q and R)
Can be tuned to match or exceed EMA responsiveness while maintaining smoothness
Versus Hull Moving Average (HMA):
Different noise reduction approach (recursive estimation vs. weighted calculation)
Kalman Filter offers more intuitive parameter adjustment
Both reduce lag effectively, but through different mechanisms
Kalman Filter may handle sudden volatility changes more gracefully
Response Characteristics:
Lag Time: Moderate and configurable through parameter adjustment
Noise Reduction: Good to excellent, particularly in volatile conditions
Trend Detection: Effective across multiple timeframes
False Signal Rate: Typically lower than simple moving averages in ranging markets
Computational Efficiency: Efficient recursive calculation suitable for real-time use
Optimal Use Cases:
Markets with mixed trending and ranging periods
Assets with moderate to high volatility requiring noise filtering
Multi-timeframe analysis requiring consistent methodology
Systematic trading strategies needing reliable trend identification
Situations requiring balance between responsiveness and smoothness
Known Limitations:
Parameters require adjustment for different market volatility levels
May still produce false signals during extreme choppy conditions
No single parameter set works optimally for all market conditions
Requires complementary indicators for comprehensive analysis
Historical performance characteristics may not persist in changing market conditions
USAGE NOTES
This indicator is designed for technical analysis and educational purposes. The Kalman Filter's effectiveness varies with market conditions, tending to perform better in markets with clear trending phases interrupted by consolidation. Like all technical indicators, it has limitations and should not be used as the sole basis for trading decisions, but rather as part of a comprehensive trading approach.
Algorithm performance varies with market conditions, and past characteristics do not guarantee future results. Always test thoroughly with different parameter settings across various market conditions before using in live trading. No technical indicator can predict future price movements with certainty, and all trading involves risk of loss.
Signal Core Basic [NevoxCore]⯁ OVERVIEW
Signal Core Basic is a clean and functional ATR-based trailing stop with BUY/SELL signals.
It modernizes the classic "UT-style" concept with adaptive sensitivity, multi-source inputs (Close, Heikin-Ashi, ZLEMA, KAMA), and compact visuals.
The tool is designed for traders who want a clear, minimal, and reliable base indicator without repainting issues.
⯁ HOW IT WORKS
Calculates an ATR-based trailing stop (nLoss = Key × ATR).
Adaptive mode scales sensitivity depending on trend strength (trend/range detection).
Trailing stop flips when price crosses from one regime to the other.
BUY/SELL signals trigger only when confirmed and not blocked by cooldown.
Label ring-buffer ensures chart stays clean (max 50 labels).
Bar coloring optional (solid), auto-disabled when classic red/green colors are enabled.
⯁ KEY FEATURES
ATR-based trailing stop with adjustable sensitivity.
Adaptive key (trend/range aware).
Multiple compute sources: Close, Heikin-Ashi, ZLEMA, KAMA.
Global confirm-on-close switch (no repaint).
Early-flip protection (cooldown).
Compact BUY/SELL labels with auto-cleanup (max 50).
Optional solid bar coloring.
Alerts with ticker, timeframe, and price included.
⯁ SETTINGS (quick overview)
Visual: Classic Colors, Show Labels, Plot Trailing Stop, Barcolor ON/OFF.
Source & Sensitivity: Key Value, ATR Length, Compute Source.
Advanced: Adaptive Key toggle with min/max bounds.
Global: Confirm on bar close.
Extras: Cooldown protection (bars).
⯁ ALERTS (built-in)
Basic Long: BUY signal.
Basic Short: SELL signal.
Each alert includes {{ticker}} {{interval}} @ {{close}}.
⯁ HOW TO USE
Use as a trailing stop and regime filter.
Combine BUY/SELL signals with your strategy rules.
Enable cooldown for cleaner signals in choppy markets.
Try ZLEMA or Heikin-Ashi as compute source for smoother performance.
⯁ WHY IT’S DIFFERENT
Unlike generic UT-style scripts, Signal Core Basic adds adaptive sensitivity, multiple input sources, and strict non-repaint safety.
The visuals follow NevoxCore’s design standards: compact, minimal, and clean — ready for live trading with alerts.
⯁ DISCLAIMER
Backtest and paper-trade before using live. Not financial advice.
Performance depends on market, timeframe, and parameters.
RSI Momentum ScalperOverview
The "RSI Momentum Scalper" is a Pine Script v5 strategy crafted for trading highly volatile markets, with a special focus on newly listed cryptocurrencies. This strategy harnesses the Relative Strength Index (RSI) alongside volume analysis and momentum thresholds to pinpoint short-term trading opportunities. It supports both long and short trades, managed with customizable take profit, stop loss, and trailing stop levels, which are visually plotted on the chart for easy tracking.
Why I Created This Strategy
I developed the "RSI Momentum Scalper" because I was seeking a reliable trading strategy tailored to newly listed, highly volatile cryptocurrencies. These assets often experience rapid price fluctuations, rendering traditional strategies less effective. I aimed to create a tool that could exploit momentum and volume spikes while managing risk through adaptable exit parameters. This strategy is designed to address that need, offering a flexible approach for traders in dynamic crypto markets.
How It Works
The strategy utilizes RSI to identify momentum shifts, combined with volume confirmation, to trigger long or short entries. Trades are controlled with take profit, stop loss, and trailing stop levels, which adjust dynamically as the price moves in your favor. The trailing stop helps lock in profits, while the plotted exit levels provide clear visual cues for trade management.
Customizable Settings
The script is highly customizable, allowing you to adjust it to various market conditions and trading styles. Here’s a brief overview of the key settings:
Trade Mode: Select "Both," "Long Only," or "Short Only" to determine the trade direction.
(Default: Both)
RSI Length: Sets the lookback period for the RSI calculation (2 to 30).
(Default: 8)
A shorter length increases RSI sensitivity, suitable for volatile assets.
RSI Overbought: Defines the upper RSI threshold (60 to 99) for short entries.
(Default: 90)
Higher values signal stronger overbought conditions.
RSI Oversold: Defines the lower RSI threshold (1 to 40) for long entries.
(Default: 10)
Lower values indicate stronger oversold conditions.
RSI Momentum Threshold: Sets the minimum RSI momentum change (1 to 15) to trigger entries.
(Default: 14)
Adjusts the sensitivity to price momentum.
Volume Multiplier: Multiplies the volume moving average to filter high-volume bars (1.0 to 3.0).
(Default: 1)
Higher values require stronger volume confirmation.
Volume MA Length: Sets the lookback period for the volume moving average (5 to 50).
(Default: 13)
Influences the volume trend sensitivity.
Take Profit %: Sets the profit target as a percentage of the entry price (0.1 to 10.0).
(Default: 4.15)
Determines when to close a winning trade.
Stop Loss %: Sets the loss limit as a percentage of the entry price (0.1 to 6.0).
(Default: 1.85)
Protects against significant losses.
Trailing Stop %: Sets the trailing stop distance as a percentage (0.1 to 4.0).
(Default: 2.55)
Locks in profits as the price moves favorably.
Visual Features
Exit Levels: Take profit (green), fixed stop loss (red), and trailing stop (orange) levels are plotted when in a position.
Performance Table: Displays win rate, total trades, and net profit in the top-right corner.
How to Use
Add the strategy to your chart in TradingView.
Adjust the input settings based on the cryptocurrency and timeframe you’re trading.
Monitor the plotted exit levels for trade management.
Use the performance table to assess the strategy’s performance over time.
Notes
Test the strategy on a demo account or with historical data before live trading.
The strategy is optimized for short-term scalping; adjust settings for longer timeframes if needed.
Order Block Volumatic FVG StrategyInspired by: Volumatic Fair Value Gaps —
License: CC BY-NC-SA 4.0 (Creative Commons Attribution–NonCommercial–ShareAlike).
This script is a non-commercial derivative work that credits the original author and keeps the same license.
What this strategy does
This turns BigBeluga’s visual FVG concept into an entry/exit strategy. It scans bullish and bearish FVG boxes, measures how deep price has mitigated into a box (as a percentage), and opens a long/short when your mitigation threshold and filters are satisfied. Risk is managed with a fixed Stop Loss % and a Trailing Stop that activates only after a user-defined profit trigger.
Additions vs. the original indicator
✅ Strategy entries based on % mitigation into FVGs (long/short).
✅ Lower-TF volume split using upticks/downticks; fallback if LTF data is missing (distributes prior bar volume by close’s position in its H–L range) to avoid NaN/0.
✅ Per-FVG total volume filter (min/max) so you can skip weak boxes.
✅ Age filter (min bars since the FVG was created) to avoid fresh/immature boxes.
✅ Bull% / Bear% share filter (the 46%/53% numbers you see inside each FVG).
✅ Optional candle confirmation and cooldown between trades.
✅ Risk management: fixed SL % + Trailing Stop with a profit trigger (doesn’t trail until your trigger is reached).
✅ Pine v6 safety: no unsupported args, no indexof/clamp/when, reverse-index deletes, guards against zero/NaN.
How a trade is decided (logic overview)
Detect FVGs (same rules as the original visual logic).
For each FVG currently intersected by the bar, compute:
Mitigation % (how deep price has entered the box).
Bull%/Bear% split (internal volume share).
Total volume (printed on the box) from LTF aggregation or fallback.
Age (bars) since the box was created.
Apply your filters:
Mitigation ≥ Long/Short threshold.
Volume between your min and max (if enabled).
Age ≥ min bars (if enabled).
Bull% / Bear% within your limits (if enabled).
(Optional) the current candle must be in trade direction (confirm).
If multiple FVGs qualify on the same bar, the strategy uses the most recent one.
Enter long/short (no pyramiding).
Exit with:
Fixed Stop Loss %, and
Trailing Stop that only starts after price reaches your profit trigger %.
Input settings (quick guide)
Mitigation source: close or high/low. Use high/low for intrabar touches; close is stricter.
Mitigation % thresholds: minimal mitigation for Long and Short.
TOTAL Volume filter: skip FVGs with too little/too much total volume (per box).
Bull/Bear share filter: require, e.g., Long only if Bull% ≥ 50; avoid Short when Bull% is high (Short Bull% max).
Age filter (bars): e.g., ≥ 20–30 bars to avoid fresh boxes.
Confirm candle: require candle direction to match the trade.
Cooldown (bars): minimum bars between entries.
Risk:
Stop Loss % (fixed from entry price).
Activate trailing at +% profit (the trigger).
Trailing distance % (the trailing gap once active).
Lower-TF aggregation:
Auto: TF/Divisor → picks 1/3/5m automatically.
Fixed: choose 1/3/5/15m explicitly.
If LTF can’t be fetched, fallback allocates prior bar’s volume by its close position in the bar’s H–L.
Suggested starting presets (you should optimize per market)
Mitigation: 60–80% for both Long/Short.
Bull/Bear share:
Long: Bull% ≥ 50–70, Bear% ≤ 100.
Short: Bull% ≤ 60 (avoid shorting into strong support), Bear% ≥ 0–70 as you prefer.
Age: ≥ 20–30 bars.
Volume: pick a min that filters noise for your symbol/timeframe.
Risk: SL 4–6%, trailing trigger 1–2%, distance 1–2% (crypto example).
Set slippage/fees in Strategy Properties.
Notes, limitations & best practices
Data differences: The LTF split uses request.security_lower_tf. If the exchange/data feed has sparse LTF data, the fallback kicks in (it’s deliberate to avoid NaNs but is a heuristic).
Real-time vs backtest: The current bar can update until close; results on historical bars use closed data. Use “Bar Replay” to understand intrabar effects.
No pyramiding: Only one position at a time. Modify pyramiding in the header if you need scaling.
Assets: For spot/crypto, TradingView “volume” is exchange volume; in some markets it may be tick volume—interpret filters accordingly.
Risk disclosure: Past performance ≠ future results. Use appropriate position sizing and risk controls; this is not financial advice.
Credits
Visual FVG concept and original implementation: BigBeluga.
This derivative strategy adds entry/exit logic, volume/age/share filters, robust LTF handling, and risk management while preserving the original spirit.
License remains CC BY-NC-SA 4.0 (non-commercial, attribution required, share-alike).
AVGO Advanced Day Trading Strategy📈 Overview
The AVGO Advanced Day Trading Strategy is a comprehensive, multi-timeframe trading system designed for active day traders seeking consistent performance with robust risk management. Originally optimized for AVGO (Broadcom), this strategy adapts well to other liquid stocks and can be customized for various trading styles.
🎯 Key Features
Multiple Entry Methods
EMA Crossover: Classic trend-following signals using fast (9) and medium (16) EMAs
MACD + RSI Confluence: Momentum-based entries combining MACD crossovers with RSI positioning
Price Momentum: Consecutive price action patterns with EMA and RSI confirmation
Hybrid System: Advanced multi-trigger approach combining all methodologies
Advanced Technical Arsenal
When enabled, the strategy analyzes 8+ additional indicators for confluence:
Volume Price Trend (VPT): Measures volume-weighted price momentum
On-Balance Volume (OBV): Tracks cumulative volume flow
Accumulation/Distribution Line: Identifies institutional money flow
Williams %R: Momentum oscillator for entry timing
Rate of Change Suite: Multi-timeframe momentum analysis (5, 14, 18 periods)
Commodity Channel Index (CCI): Cyclical turning points
Average Directional Index (ADX): Trend strength measurement
Parabolic SAR: Dynamic support/resistance levels
🛡️ Risk Management System
Position Sizing
Risk-based position sizing (default 1% per trade)
Maximum position limits (default 25% of equity)
Daily loss limits with automatic position closure
Multiple Profit Targets
Target 1: 1.5% gain (50% position exit)
Target 2: 2.5% gain (30% position exit)
Target 3: 3.6% gain (20% position exit)
Configurable exit percentages and target levels
Stop Loss Protection
ATR-based or percentage-based stop losses
Optional trailing stops
Dynamic stop adjustment based on market volatility
📊 Technical Specifications
Primary Indicators
EMAs: 9 (Fast), 16 (Medium), 50 (Long)
VWAP: Volume-weighted average price filter
RSI: 6-period momentum oscillator
MACD: 8/13/5 configuration for faster signals
Volume Confirmation
Volume filter requiring 1.6x average volume
19-period volume moving average baseline
Optional volume confirmation bypass
Market Structure Analysis
Bollinger Bands (20-period, 2.0 multiplier)
Squeeze detection for breakout opportunities
Fractal and pivot point analysis
⏰ Trading Hours & Filters
Time Management
Configurable trading hours (default: 9:30 AM - 3:30 PM EST)
Weekend and holiday filtering
Session-based trade management
Market Condition Filters
Trend alignment requirements
VWAP positioning filters
Volatility-based entry conditions
📱 Visual Features
Information Dashboard
Real-time display of:
Current entry method and signals
Bullish/bearish signal counts
RSI and MACD status
Trend direction and strength
Position status and P&L
Volume and time filter status
Chart Visualization
EMA plots with customizable colors
Entry signal markers
Target and stop level lines
Background color coding for trends
Optional Bollinger Bands and SAR display
🔔 Alert System
Entry Alerts
Customizable alerts for long and short entries
Method-specific alert messages
Signal confluence notifications
Advanced Alerts
Strong confluence threshold alerts
Custom alert messages with signal counts
Risk management alerts
⚙️ Customization Options
Strategy Parameters
Enable/disable long or short trades
Adjustable risk parameters
Multiple entry method selection
Advanced indicator on/off toggle
Visual Customization
Color schemes for all indicators
Dashboard position and size options
Show/hide various chart elements
Background color preferences
📋 Default Settings
Initial Capital: $100,000
Commission: 0.1%
Default Position Size: 10% of equity
Risk Per Trade: 1.0%
RSI Length: 6 periods
MACD: 8/13/5 configuration
Stop Loss: 1.1% or ATR-based
🎯 Best Use Cases
Day Trading: Designed for intraday opportunities
Swing Trading: Adaptable for longer-term positions
Momentum Trading: Excellent for trending markets
Risk-Conscious Trading: Built-in risk management protocols
⚠️ Important Notes
Paper Trading Recommended: Test thoroughly before live trading
Market Conditions: Performance varies with market volatility
Customization: Adjust parameters based on your risk tolerance
Educational Purpose: Use as a learning tool and customize for your needs
🏆 Performance Features
Detailed performance metrics
Trade-by-trade analysis capability
Customizable risk/reward ratios
Comprehensive backtesting support
This strategy is for educational purposes. Past performance does not guarantee future results. Always practice proper risk management and consider your financial situation before trading.
EMA + VWMA + ATR Smoothed BuySell (merged) - TOM ZENG 202509Logic and Functionality Analysis
The script is divided into three main logical sections: EMA trend analysis, ATR-based signal generation, and VWMA smoothing.
1. EMA Trend Analysis (EMA Fan) 📈
This section uses a series of Exponential Moving Averages (EMAs) to identify trends. You've wisely chosen a set of EMA lengths (8, 21, 50, 200) that are commonly used in trading. These numbers are often derived from the Fibonacci sequence and are believed to offer a good balance of sensitivity to recent price action while still reflecting the underlying trend.
Purpose: The EMAs serve as dynamic support and resistance levels. When the price is above the EMAs and they are fanned out in ascending order (short-term EMA above long-term EMA), it indicates a strong uptrend. Conversely, a descending order indicates a downtrend.
Customization: The code allows you to easily adjust the EMA lengths in the inputs section, giving you control over the sensitivity of your trend analysis.
2. ATR Trailing Stop (Buy/Sell Signals) 🎯
This is the core of the indicator's signal-generating capability. It uses the Average True Range (ATR) to create a dynamic trailing stop line. The ATR measures volatility, so the stop line adjusts automatically to wider price swings.
Logic: The script uses a var float variable xATRTrailingStop to store the value of the stop line from the previous bar. The code then determines the current bar's stop line by comparing the current price to the previous bar's stop line and using math.max and math.min to smoothly move the line along with the trend.
Signal Generation: The pos variable tracks whether the trend is long (pos = 1) or short (pos = -1). The isLong and isShort variables act as a state machine, ensuring that the "Buy" and "Sell" signals are only triggered once at the exact point of a crossover, rather than on every subsequent bar.
Visuals & Alerts: The plotshape functions create labels directly on the chart, and the barcolor function changes the color of the candlesticks, providing a clear visual representation of the current trend state. The alertcondition functions are crucial for automation, allowing you to set up notifications for when a signal occurs.
3. VWMA and Combined Average 🌊
This section introduces a Volume-Weighted Moving Average (VWMA), which gives more weight to periods of high trading volume. This makes the VWMA more responsive to significant moves that are backed by strong institutional buying or selling.
Combined Logic: The avg1 variable creates a new line by averaging the VWMA and the xATRTrailingStop line. This is an innovative approach to blend two different types of analysis—volume-based trend and volatility-based risk management—into a single, smoothed line. It can act as an additional filter or a unique trading signal on its own.
Summary
Your code is a very effective and clean example of a multi-faceted indicator. It correctly implements a robust ATR trailing stop for signals while also providing valuable trend context through EMAs and volume analysis through VWMA. The combination of these elements makes it a powerful tool for a trader looking for a comprehensive view of the market.
RSI MA Cross + Divergence Signal (V2) Core Logic
RSI + Moving Average
The script calculates a standard RSI (default 14).
It then overlays a moving average (SMA/EMA/WMA, default 9).
When RSI crosses above its MA → bullish momentum.
When RSI crosses below its MA → bearish momentum.
Divergence Filter
Signals are only valid if there’s confirmed divergence:
Bullish divergence: Price makes a lower low, RSI makes a higher low.
Bearish divergence: Price makes a higher high, RSI makes a lower high.
Overbought / Oversold Filter
Optional extra:
Bullish signals only valid if RSI ≤ 30 (oversold).
Bearish signals only valid if RSI ≥ 70 (overbought).
This ensures signals happen in “stretched” conditions.
Risk & Trade Management
Entries taken only when all conditions align.
Exits can be managed with ATR stops, partial take-profits, breakeven moves, and trailing stops (we coded these in the strategy version).
Cooldown, session filters, and daily loss guard to keep risk tight.
🔹 Strengths
✅ High selectivity: Combining RSI cross + divergence + OB/OS means signals are rare but higher quality.
✅ Great at catching reversals: Divergence highlights where price may be running out of steam.
✅ Risk management baked in: ATR stops + partial exits smooth out equity curve.
✅ Works across markets: ES, FX, crypto — anywhere RSI divergences are respected.
✅ Flexible: You can loosen/tighten filters depending on aggressiveness.
🔹 Weaknesses
❌ Lag from pivots: Divergence only confirms after a few bars → you enter late sometimes.
❌ Choppy in ranges: In sideways markets, RSI divergences appear often and whipsaw.
❌ Filters reduce signals: With all filters ON (divergence + OB/OS + trend + session), signals can be very rare — may under-trade.
❌ Not standalone: Needs higher-timeframe context (trend, liquidity pools) to avoid counter-trend entries.
🔹 Best Ways to Trade It
Use Higher Timeframe Bias
Run the strategy on 15m/1H, but only trade in direction of higher timeframe trend (e.g., 4H EMA).
Example: If daily is bullish → only take bullish divergences.
Pair With Structure
Look for signals at key zones: HTF support/resistance, VWAP, or FVGs.
Divergence + RSI cross inside an FVG is a strong entry trigger.
Adjust OB/OS for Volatility
For crypto/FX: use 35/65 instead of 30/70 (markets trend harder).
For ES/S&P: 30/70 works fine.
Risk Management Is King
Use partial exits: take profit at 1R, trail rest.
Size by % of equity (we coded this into the strategy).
Avoid News Spikes
Divergences break down around CPI, NFP, Fed announcements — stay flat.
🔹 When It Shines
Trending markets that make extended pushes → clean divergences.
Reversal zones (oversold → bullish bounce, overbought → bearish fade).
Swing trading (15m–4H) — less noise than 1m/5m scalping.
🔹 When to Avoid
Low volatility chop → lots of false divergences.
During high-impact news → RSI swings wildly.
In strong one-way trends without pullbacks — divergence keeps calling tops/bottoms too early.
✅ Summary:
This is a reversal-focused RSI divergence strategy with strict filters. It’s powerful when combined with higher-timeframe bias + structure confluence, but weak if traded blindly in choppy or news-driven conditions. Best to treat it as a precision entry trigger, not a full system — layer it on top of your FVG/ORB framework for maximum edge.
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.
Hurst Exponent Adaptive Filter (HEAF) [PhenLabs]📊 PhenLabs - Hurst Exponent Adaptive Filter (HEAF)
Version: PineScript™ v6
📌 Description
The Hurst Exponent Adaptive Filter (HEAF) is an advanced Pine Script indicator designed to dynamically adjust moving average calculations based on real time market regimes detected through the Hurst Exponent. The intention behind the creation of this indicator was not a buy/sell indicator but rather a tool to help sharpen traders ability to distinguish regimes in the market mathematically rather than guessing. By analyzing price persistence, it identifies whether the market is trending, mean-reverting, or exhibiting random walk behavior, automatically adapting the MA length to provide more responsive alerts in volatile conditions and smoother outputs in stable ones. This helps traders avoid false signals in choppy markets and capitalize on strong trends, making it ideal for adaptive trading strategies across various timeframes and assets.
Unlike traditional moving averages, HEAF incorporates fractal dimension analysis via the Hurst Exponent to create a self-tuning filter that evolves with market conditions. Traders benefit from visual cues like color coded regimes, adaptive bands for volatility channels, and an information panel that suggests appropriate strategies, enhancing decision making without constant manual adjustments by the user.
🚀 Points of Innovation
Dynamic MA length adjustment using Hurst Exponent for regime-aware filtering, reducing lag in trends and noise in ranges.
Integrated market regime classification (trending, mean-reverting, random) with visual and alert-based notifications.
Customizable color themes and adaptive bands that incorporate ATR for volatility-adjusted channels.
Built-in information panel providing real-time strategy recommendations based on detected regimes.
Power sensitivity parameter to fine-tune adaptation aggressiveness, allowing personalization for different trading styles.
Support for multiple MA types (EMA, SMA, WMA) within an adaptive framework.
🔧 Core Components
Hurst Exponent Calculation: Computes the fractal dimension of price series over a user-defined lookback to detect market persistence or anti-persistence.
Adaptive Length Mechanism: Maps Hurst values to MA lengths between minimum and maximum bounds, using a power function for sensitivity control.
Moving Average Engine: Applies the chosen MA type (EMA, SMA, or WMA) to the adaptive length for the core filter line.
Adaptive Bands: Creates upper and lower channels using ATR multiplied by a band factor, scaled to the current adaptive length.
Regime Detection: Classifies market state with thresholds (e.g., >0.55 for trending) and triggers alerts on regime changes.
Visualization System: Includes gradient fills, regime-colored MA lines, and an info panel for at-a-glance insights.
🔥 Key Features
Regime-Adaptive Filtering: Automatically shortens MA in mean-reverting markets for quick responses and lengthens it in trends for smoother signals, helping traders stay aligned with market dynamics.
Custom Alerts: Notifies on regime shifts and band breakouts, enabling timely strategy adjustments like switching to trend-following in bullish regimes.
Visual Enhancements: Color-coded MA lines, gradient band fills, and an optional info panel that displays market state and trading tips, improving chart readability.
Flexible Settings: Adjustable lookback, min/max lengths, sensitivity power, MA type, and themes to suit various assets and timeframes.
Band Breakout Signals: Highlights potential overbought/oversold conditions via ATR-based channels, useful for entry/exit timing.
🎨 Visualization
Main Adaptive MA Line: Plotted with regime-based colors (e.g., green for trending) to visually indicate market state and filter position relative to price.
Adaptive Bands: Upper and lower lines with gradient fills between them, showing volatility channels that widen in random regimes and tighten in trends.
Price vs. MA Fills: Color-coded areas between price and MA (e.g., bullish green above MA in trending modes) for quick trend strength assessment.
Information Panel: Top-right table displaying current regime (e.g., "Trending Market") and strategy suggestions like "Follow trends" or "Trade ranges."
📖 Usage Guidelines
Core Settings
Hurst Lookback Period
Default: 100
Range: 20-500
Description: Sets the period for Hurst Exponent calculation; longer values provide more stable regime detection but may lag, while shorter ones are more responsive to recent changes.
Minimum MA Length
Default: 10
Range: 5-50
Description: Defines the shortest possible adaptive MA length, ideal for fast responses in mean-reverting conditions.
Maximum MA Length
Default: 200
Range: 50-500
Description: Sets the longest adaptive MA length for smoothing in strong trends; adjust based on asset volatility.
Sensitivity Power
Default: 2.0
Range: 1.0-5.0
Description: Controls how aggressively the length adapts to Hurst changes; higher values make it more sensitive to regime shifts.
MA Type
Default: EMA
Options: EMA, SMA, WMA
Description: Chooses the moving average calculation method; EMA is more responsive, while SMA/WMA offer different weighting.
🖼️ Visual Settings
Show Adaptive Bands
Default: True
Description: Toggles visibility of upper/lower bands for volatility channels.
Band Multiplier
Default: 1.5
Range: 0.5-3.0
Description: Scales band width using ATR; higher values create wider channels for conservative signals.
Show Information Panel
Default: True
Description: Displays regime info and strategy tips in a top-right panel.
MA Line Width
Default: 2
Range: 1-5
Description: Adjusts thickness of the main MA line for better visibility.
Color Theme
Default: Blue
Options: Blue, Classic, Dark Purple, Vibrant
Description: Selects color scheme for MA, bands, and fills to match user preferences.
🚨 Alert Settings
Enable Alerts
Default: True
Description: Activates notifications for regime changes and band breakouts.
✅ Best Use Cases
Trend-Following Strategies: In detected trending regimes, use the adaptive MA as a trailing stop or entry filter for momentum trades.
Range Trading: During mean-reverting periods, monitor band breakouts for buying dips or selling rallies within channels.
Risk Management in Random Markets: Reduce exposure when random walk is detected, using tight stops suggested in the info panel.
Multi-Timeframe Analysis: Apply on higher timeframes for regime confirmation, then drill down to lower ones for entries.
Volatility-Based Entries: Use upper/lower band crossovers as signals in adaptive channels for overbought/oversold trades.
⚠️ Limitations
Lagging in Transitions: Regime detection may delay during rapid market shifts, requiring confirmation from other tools.
Not a Standalone System: Best used in conjunction with other indicators; random regimes can lead to whipsaws if traded aggressively.
Parameter Sensitivity: Optimal settings vary by asset and timeframe, necessitating backtesting.
💡 What Makes This Unique
Hurst-Driven Adaptation: Unlike static MAs, it uses fractal analysis to self-tune, providing regime-specific filtering that's rare in standard indicators.
Integrated Strategy Guidance: The info panel offers actionable tips tied to regimes, bridging analysis and execution.
Multi-Regime Visualization: Combines adaptive bands, colored fills, and alerts in one tool for comprehensive market state awareness.
🔬 How It Works
Hurst Exponent Computation:
Calculates log returns over the lookback period to derive the rescaled range (R/S) ratio.
Normalizes to a 0-1 value, where >0.55 indicates trending, <0.45 mean-reverting, and in-between random.
Length Adaptation:
Maps normalized Hurst to an MA length via a power function, clamping between min and max.
Applies the selected MA type to close prices using this dynamic length.
Visualization and Signals:
Plots the MA with regime colors, adds ATR-based bands, and fills areas for trend strength.
Triggers alerts on regime changes or band crosses, with the info panel suggesting strategies like momentum riding in trends.
💡 Note:
For optimal results, backtest settings on your preferred assets and combine with volume or momentum indicators. Remember, no indicator guarantees profits—use with proper risk management. Access premium features and support at PhenLabs.
Time-Decaying Percentile Oscillator [BackQuant]Time-Decaying Percentile Oscillator
1. Big-picture idea
Traditional percentile or stochastic oscillators treat every bar in the look-back window as equally important. That is fine when markets are slow, but if volatility regime changes quickly yesterday’s print should matter more than last month’s. The Time-Decaying Percentile Oscillator attempts to fix that blind spot by assigning an adjustable weight to every past price before it is ranked. The result is a percentile score that “breathes” with market tempo much faster to flag new extremes yet still smooth enough to ignore random noise.
2. What the script actually does
Build a weight curve
• You pick a look-back length (default 28 bars).
• You decide whether weights fall Linearly , Exponentially , by Power-law or Logarithmically .
• A decay factor (lower = faster fade) shapes how quickly the oldest price loses influence.
• The array is normalised so all weights still sum to 1.
Rank prices by weighted mass
• Every close in the window is paired with its weight.
• The pairs are sorted from low to high.
• The cumulative weight is walked until it equals your chosen percentile level (default 50 = median).
• That price becomes the Time-Decayed Percentile .
Find dispersion with robust statistics
• Instead of a fragile standard deviation the script measures weighted Median-Absolute-Deviation about the new percentile.
• You multiply that deviation by the Deviation Multiplier slider (default 1.0) to get a non-parametric volatility band.
Build an adaptive channel
• Upper band = percentile + (multiplier × deviation)
• Lower band = percentile – (multiplier × deviation)
Normalise into a 0-100 oscillator
• The current close is mapped inside that band:
0 = lower band, 50 = centre, 100 = upper band.
• If the channel squeezes, tiny moves still travel the full scale; if volatility explodes, it automatically widens.
Optional smoothing
• A second-stage moving average (EMA, SMA, DEMA, TEMA, etc.) tames the jitter.
• Length 22 EMA by default—change it to tune reaction speed.
Threshold logic
• Upper Threshold 70 and Lower Threshold 30 separate standard overbought/oversold states.
• Extreme bands 85 and 15 paint background heat when aggressive fade or breakout trades might trigger.
Divergence engine
• Looks back twenty bars.
• Flags Bullish divergence when price makes a lower low but oscillator refuses to confirm (value < 40).
• Flags Bearish divergence when price prints a higher high but oscillator stalls (value > 60).
3. Component walk-through
• Source – Any price series. Close by default, switch to typical price or custom OHLC4 for futures spreads.
• Look-back Period – How many bars to rank. Short = faster, long = slower.
• Base Percentile Level – 50 shows relative position around the median; set to 25 / 75 for quartile tracking or 90 / 10 for extreme tails.
• Deviation Multiplier – Higher values widen the dynamic channel, lowering whipsaw but delaying signals.
• Decay Settings
– Type decides the curve shape. Exponential (default 1.16) mimics EMA logic.
– Factor < 1 shrinks influence faster; > 1 spreads influence flatter.
– Toggle Enable Time Decay off to compare with classic equal-weight stochastic.
• Smoothing Block – Choose one of seven MA flavours plus length.
• Thresholds – Overbought / Oversold / Extreme levels. Push them out when working on very mean-reverting assets like FX; pull them in for trend monsters like crypto.
• Display toggles – Show or hide threshold lines, extreme filler zones, bar colouring, divergence labels.
• Colours – Bullish green, bearish red, neutral grey. Every gradient step is automatically blended to generate a heat map across the 0-100 range.
4. How to read the chart
• Oscillator creeping above 70 = market auctioning near the top of its adaptive range.
• Fast poke above 85 with no follow-through = exhaustion fade candidate.
• Slow grind that lives above 70 for many bars = valid bullish trend, not a fade.
• Cross back through 50 shows balance has shifted; treat it like a micro trend change.
• Divergence arrows add extra confidence when you already see two-bar reversal candles at range extremes.
• Background shading (semi-transparent red / green) warns of extreme states and throttles your position size.
5. Practical trading playbook
Mean-reversion scalps
1. Wait for oscillator to reach your desired OB/ OS levels
2. Check the slope of the smoothing MA—if it is flattening the squeeze is mature.
3. Look for a one- or two-bar reversal pattern.
4. Enter against the move; first target = midline 50, second target = opposite threshold.
5. Stop loss just beyond the extreme band.
Trend continuation pullbacks
1. Identify a clean directional trend on the price chart.
2. During the trend, TDP will oscillate between midline and extreme of that side.
3. Buy dips when oscillator hits OS levels, and the same for OB levels & shorting
4. Exit when oscillator re-tags the same-side extreme or prints divergence.
Volatility regime filter
• Use the Enable Time Decay switch as a regime test.
• If equal-weight oscillator and decayed oscillator diverge widely, market is entering a new volatility regime—tighten stops and trade smaller.
Divergence confirmation for other indicators
• Pair TDP divergence arrows with MACD histogram or RSI to filter false positives.
• The weighted nature means TDP often spots divergence a bar or two earlier than standard RSI.
Swing breakout strategy
1. During consolidation, band width compresses and oscillator oscillates around 50.
2. Watch for sudden expansion where oscillator blasts through extreme bands and stays pinned.
3. Enter with momentum in breakout direction; trail stop behind upper or lower band as it re-expands.
6. Customising decay mathematics
Linear – Each older bar loses the same fixed amount of influence. Intuitive and stable; good for slow swing charts.
Exponential – Influence halves every “decay factor” steps. Mirrors EMA thinking and is fastest to react.
Power-law – Mid-history bars keep more authority than exponential but oldest data still fades. Handy for commodities where seasonality matters.
Logarithmic – The gentlest curve; weight drops sharply at first then levels off. Mimics how traders remember dramatic moves for weeks but forget ordinary noise quickly.
Turn decay off to verify the tool’s added value; most users never switch back.
7. Alert catalogue
• TD Overbought / TD Oversold – Cross of regular thresholds.
• TD Extreme OB / OS – Breach of danger zones.
• TD Bullish / Bearish Divergence – High-probability reversal watch.
• TD Midline Cross – Momentum shift that often precedes a window where trend-following systems perform.
8. Visual hygiene tips
• If you already plot price on a dark background pick Bullish Color and Bearish Color default; change to pastel tones for light themes.
• Hide threshold lines after you memorise the zones to declutter scalping layouts.
• Overlay mode set to false so the oscillator lives in its own panel; keep height about 30 % of screen for best resolution.
9. Final notes
Time-Decaying Percentile Oscillator marries robust statistical ranking, adaptive dispersion and decay-aware weighting into a simple oscillator. It respects both recent order-flow shocks and historical context, offers granular control over responsiveness and ships with divergence and alert plumbing out of the box. Bolt it onto your price action framework, trend-following system or volatility mean-reversion playbook and see how much sooner it recognises genuine extremes compared to legacy oscillators.
Backtest thoroughly, experiment with decay curves on each asset class and remember: in trading, timing beats timidity but patience beats impulse. May this tool help you find that edge.
BERLIN-MAX 1V.5BERLIN-MAX 1V.5 is a comprehensive trading indicator designed for TradingView that combines multiple advanced strategies and tools. It integrates EMA crossover signals, UT Bot logic with ATR-based trailing stops, customizable stop-loss and target multipliers per timeframe, Hull Moving Averages with color-coded trends, linear regression channels for support and resistance, and a multi-timeframe RSI and volume signal table. This script aims to provide clear entry and exit signals for scalping and swing trading, enhancing decision-making across different market conditions.
Drunken Bird Inspiration for the support and resistance plateau lines came from AnotherDAPTrader.
The TSL Drunken Bird is an enhanced technical analysis tool for swing traders on TradingView, based on the original Accurate Swing Trading System by ceyhun. It generates buy and sell signals when price crosses a dynamic Trailing Stop Loss (TSL) level derived from recent highs and lows. This version introduces plateau detection for support and resistance lines, dynamic label expiration to reduce clutter, customizable line styles and decay, and improved HTF confluence for trend-aligned trading. Visual elements include signal labels, horizontal lines, a colored TSL plot, and optional bar/background coloring. Alerts are available for buy/sell crossovers, making it suitable for assets like NASDAQ E-mini futures, stocks, forex, and more.
This script adapts and expands upon ceyhun's original codetradingview.com, adding significant features such as tolerance-based plateau identification for support/resistance, label management with timeframe-aware expiration (~7 days), cross-count decay for lines, and expanded customization options. Inspiration for the support and resistance plateau lines came from AnotherDAPTrader. Released under the Mozilla Public License 2.0.Key
Features
Swing Signals: "BUY" and "SELL" labels on price crossovers/crossunders of the TSL, with a user-defined lookback (default 3).
HTF Confluence: Filters signals based on higher timeframe trend (e.g., "EXIT LONG" instead of "SELL" if HTF is bullish); toggleable.
HTF Options: Select from 5m, 15m, 30m, 1h, 4h, Daily, Weekly, or Monthly.
Plateau Detection: Identifies flat highs/lows (with tolerance) for resistance/support lines, plotted as dotted/solid/dashed with customizable colors, thickness, and decay after crosses (default 2).
Horizontal Lines: Green (buy) and red (sell) lines at signal closes, extending right until crossed; toggle between short (no extension limit) or long visualization.
TSL Visualization: Colored line (green if close >= TSL, red otherwise) for dynamic levels.
Bar/Background Coloring: Optional green/red coloring based on price vs. TSL.
Label Expiration: All labels (signals and plateaus) auto-delete after ~7 days (timeframe-adjusted, default 1008 bars).
Alerts: Triggers for "Buy Signal" and "Sell Signal" on crossovers.
How to Use
Add to Chart: Paste the Pine Script into TradingView's editor and add to your chart.
Configure Settings:
Swing: Lookback for highs/lows (min 1).
Plateau Tolerance: Flatness allowance (default 0.0).
Use HTF Confluence: Enable for trend filtering.
Higher Time Frame: Choose timeframe string.
Barcolor/Bgcolor: Toggle coloring.
Show Plateau Lines: Enable support/resistance.
Line Styles/Colors/Thickness: Customize buy/sell and plateau visuals.
Plateau Line Decay: Crosses before stopping extension.
Label Expiration: Bars for auto-deletion (~7 days).
Interpret Elements:
Labels: "BUY"/"SELL" (green/red), "EXIT SHORT"/"EXIT LONG" (orange) on signals; "Res"/"Sup" on plateaus.
Lines: Extend right until conditions met (cross for buy/sell, decay threshold for plateaus).
TSL Plot: Monitors trend shifts.
Set Alerts: Use "Buy Signal" or "Sell Signal" conditions for notifications.
Testing: Apply to volatile assets; adjust Swing for signal frequency, tolerance for plateau sensitivity.
Ideal Use Cases
Swing trading on 1m–1h charts for entries/exits aligned with HTF trends.
Identifying support/resistance in ranging markets via plateaus.
Scalping with short lookbacks or longer swings with HTF enabled.
Manual or alert-based trading on futures, stocks, or forex.
Why It's Valuable
This indicator builds on ceyhun's core TSL logic with practical enhancements for modern trading: clutter reduction via expiration/decay, visual customization, and plateau-based S/R for better context. It promotes disciplined, trend-aware decisions while maintaining simplicity.
Note: Optimized for any timeframe/asset; test in demo. Not financial advice—use with risk management.
Expanded Cloud [LuxAlgo]The Expanded Cloud tool allows traders to identify and follow trends accurately. It is based on the well-known Donchian Channels, but with enhanced features.
It features a trailing cloud that expands with the price and a trading stats dashboard.
🔶 USAGE
The tool is super easy to use. Traders can identify bigger or smaller trends just by adjusting the length from the settings panel.
Trend identification is based on Donchian Channels. An uptrend is indicated when the cloud is located below the price, while a downtrend is indicated when the cloud is above it.
Dots signal the start of a new trend, and the width of the clouds identifies the strength of the price expansion. The wider the cloud, the bigger the move.
The expanded cloud, due to its visual, can also act as a trailing stop.
🔹 Trend Identification
As we can see in the chart above, different length values identify different trends on the same BTC daily chart. Larger values identify larger trends.
🔹 Cloud Expansion
From the settings panel, traders can adjust how the clouds expand based on the Expansion % parameter. It accepts values from 0 to 100, which controls how much of the expansion is taken into account. Higher values will make the cloud expand and get closer to the price faster.
When the cloud moves opposite to the direction of the indicated trend (e.g: the cloud decreases while being below the price), it is often indicative of the end of a retracement, and we can expect the price to move with the indicated trend.
The chart above shows the effect of different Expansion % values.
🔹 Dashboard
The trading statistics dashboard informs traders of key metrics derived from the tool. The following are notable:
PNL: Theoretical profit or loss from all trends identified by the tool in the right scale units.
EXPECT.: Expected value of each trade. It is derived from win rate and risk-to-reward metrics.
AVG: 1st TOUCH: The average number of bars from the beginning of a new trend until the price touches the cloud for the first time.
🔶 SETTINGS
Length: Length for trend detection
Expansion %: Percentage of price expansion for cloud formation
Source: Source of the data
🔹 Dashboard
Show Dashboard: Enable/disable the statistics dashboard
Location: Dashboard location
Size: Dashboard size
Breakout Confirmation🔍 Indicator Name: Breakout Confirmation (Body + Volume)
📌 Purpose:
This indicator is designed to detect high-probability breakout setups based on price structure and volume strength. It identifies moments when the market breaks through a key support or resistance level, confirmed by two consecutive strong candles with large real bodies and high volume.
⚙️ How It Works
1. Support and Resistance Detection
The indicator uses pivot points to identify potential horizontal support and resistance levels.
A pivot high or pivot low is considered valid if it stands out over a configurable number of candles (default: 50).
Only the most recent valid support and resistance levels are tracked and displayed as horizontal lines on the chart.
2. Breakout Setup
The breakout condition is defined as:
First Candle (Breakout Candle):
Large body (compared to the recent body average)
High volume (compared to the recent volume average)
Must close beyond a resistance or support level:
Close above resistance (bullish breakout)
Close below support (bearish breakout)
Second Candle (Confirmation Candle):
Also must have a large body and high volume
Must continue in the direction of the breakout (i.e., higher close in bullish breakouts, lower close in bearish ones)
3. Signal Plotting
If both candles meet the criteria, the indicator plots:
A green triangle below the candle for bullish breakouts
A red triangle above the candle for bearish breakouts
📈 How to Interpret the Signals
✅ Green triangle below a candle:
Indicates a confirmed bullish breakout.
The price has closed above a recent resistance level with strength.
The trend may continue higher — possible entry for long positions.
🔻 Red triangle above a candle:
Indicates a confirmed bearish breakout.
The price has closed below a recent support level with strength.
Potential signal to enter short or exit long positions.
⚠️ The plotted horizontal lines show the last key support and resistance levels. These are the zones being monitored for breakouts.
📊 How to Use It
Timeframe: Works best on higher timeframes (1H, 4H, Daily), but can be tested on any chart.
Entry: Consider entries after the second candle confirms the breakout.
Stop Loss:
For longs: Below the breakout candle or the broken resistance
For shorts: Above the breakout candle or broken support
Take Profit:
Based on previous structure, risk:reward ratios, or using trailing stops.
Filter with Trend or Other Indicators (optional):
You can combine this with moving averages, RSI, or market structure for confluence.
🛠️ Customization Parameters
lengthSR: How many candles to look back for identifying support/resistance pivots.
volLength: Length of the moving average for volume and body size comparison.
bodyMultiplier: Multiplier threshold to define a “large” body.
volMultiplier: Multiplier threshold to define “high” volume.
✅ Ideal For:
Price action traders
Breakout traders
Traders who use volume analysis
Anyone looking to automate the detection of breakout + confirmation setups
Livermore-Seykota Breakout StrategyStrategy Name: Livermore-Seykota Breakout Strategy
Objective: Execute breakout trades inspired by Jesse Livermore, filtered by trend confirmation (Ed Seykota) and risk-managed with ATR (Paul Tudor Jones style).
Entry Conditions:
Long Entry:
Close price breaks above recent pivot high.
Price is above main EMA (EMA50).
EMA20 > EMA200 (uptrend confirmation).
Current volume > 20-period SMA (volume confirmation).
Short Entry:
Close price breaks below recent pivot low.
Price is below main EMA (EMA50).
EMA20 < EMA200 (downtrend confirmation).
Current volume > 20-period SMA.
Exit Conditions:
Stop-loss: ATR × 3 from entry price.
Trailing stop: activated with offset of ATR × 2.
Strengths:
Trend-aligned entries with volume breakout confirmation.
Dynamic ATR-based risk management.
Inspired by principles of three legendary traders.
