Intermarket Correlation Oscillator (ICO)The Intermarket Correlation Oscillator (ICO) is a TradingView indicator that helps traders analyze the relationship between two assets, such as stocks, indices, or cryptocurrencies, by measuring their price correlation. It displays this correlation as an oscillator ranging from -1 to +1, making it easy to spot whether the assets move together, oppositely, or independently. A value near +1 indicates strong positive correlation (assets move in the same direction), near -1 shows strong negative correlation (opposite movements), and near 0 suggests no correlation. This tool is ideal for confirming trends, spotting divergences, or identifying hedging opportunities across markets.
How It Works?
The ICO calculates the Pearson correlation coefficient between the chart’s primary asset (e.g., Apple stock) and a secondary asset you choose (e.g., SPY for the S&P 500) over a specified number of bars (default: 20). The oscillator is plotted in a separate pane below the chart, with key levels at +0.8 (overbought, strong positive correlation) and -0.8 (oversold, strong negative correlation). A midline at 0 helps gauge neutral correlation. When the oscillator crosses these levels or the midline, labels ("OB" for overbought, "OS" for oversold) and alerts notify you of significant shifts. Shaded zones highlight extreme correlations (red for overbought, green for oversold) if enabled.
Why Use the ICO?
Trend Confirmation: High positive correlation (e.g., SPY and QQQ both rising) confirms market trends.
Divergence Detection: Negative correlation (e.g., DXY rising while stocks fall) signals potential reversals.
Hedging: Identify negatively correlated assets to balance your portfolio.
Market Insights: Understand how assets like stocks, bonds, or crypto interact.
Easy Steps to Use the ICO in TradingView
Add the Indicator:
Open TradingView and load your chart (e.g., AAPL on a daily timeframe).
Go to the Pine Editor at the bottom of the TradingView window.
Copy and paste the ICO script provided earlier.
Click "Add to Chart" to display the oscillator below your price chart.
Configure Settings:
Click the gear icon next to the indicator’s name in the chart pane to open settings.
Secondary Symbol: Choose an asset to compare with your chart’s symbol (e.g., "SPY" for S&P 500, "DXY" for USD Index, or "BTCUSD" for Bitcoin). Default is SPY.
Correlation Lookback Period: Set the number of bars for calculation (default: 20). Use 10-14 for short-term trading or 50 for longer-term analysis.
Overbought/Oversold Levels: Adjust thresholds (default: +0.8 for overbought, -0.8 for oversold) to suit your strategy. Lower values (e.g., ±0.7) give more signals.
Show Midline/Zones: Check boxes to display the zero line and shaded overbought/oversold zones for visual clarity.
Interpret the Oscillator:
Above +0.8: Strong positive correlation (red zone). Assets move together.
Below -0.8: Strong negative correlation (green zone). Assets move oppositely.
Near 0: No clear relationship (midline reference).
Labels: "OB" or "OS" appears when crossing overbought/oversold levels, signaling potential correlation shifts.
Set Up Alerts:
Right-click the indicator, select "Add Alert."
Choose conditions like "Overbought Alert" (crossing above +0.8), "Oversold Alert" (crossing below -0.8), or zero-line crossings for bullish/bearish correlation shifts.
Configure notifications (e.g., email, SMS) to stay informed.
Apply to Trading:
Use positive correlation to confirm trades (e.g., buy AAPL if SPY is rising and correlation is high).
Spot divergences for reversals (e.g., stocks dropping while DXY rises with negative correlation).
Combine with other indicators like RSI or moving averages for stronger signals.
Tips for New Users
Start with related assets (e.g., SPY and QQQ for tech stocks) to see clear correlations.
Test on a demo account to understand signals before trading live.
Be aware that correlation is a lagging indicator; confirm signals with price action.
If the secondary symbol doesn’t load, ensure it’s valid on TradingView (e.g., use correct ticker format).
The ICO is a powerful, beginner-friendly tool to explore intermarket relationships, enhancing your trading decisions with clear visual cues and alerts.
Penunjuk dan strategi
14-Factor Bullish–Bearish Sentiment MeterTrend Meter
📊 14-Factor Bullish–Bearish Sentiment Meter
This advanced sentiment meter evaluates market direction strength every minute using 14 key confluence factors from price, volume, open interest, volatility, and macro inputs. It computes a score between 0 and 100 and visually classifies the market as:
🚀 Bullish (Score ≥ 71)
⚖️ Sideways/Neutral (Score between 31–70)
🔻 Bearish (Score ≤ 30)
✅ Key Factors Used:
Price Action Structure
Volume Strength
Open Interest with Price/Volume Action
Moving Averages (EMA 20/50 crossover)
RSI Momentum
VWAP Confluence
Gann Range Projection
Market Breadth (default placeholder)
Supertrend
DMI (Directional Movement Index)
Bollinger Band Volatility Width
India VIX Volatility Score
GIFT Nifty Change Detection
Previous Day Range Breakout Check
📈 Visual Features:
Chop Zone Line & Columns: Displays bullish, bearish, or neutral zones like broker platforms.
Score Smoothing: Smooths total sentiment score using a 5-period moving average.
Top-Right Status Table: Shows real-time classification, score, zone, and date.
Dynamic Label on Chart: Highlights current sentiment with color-coded tags.
Didi Index Pro – NNFX Trend Indicator [UTS]📈 Uber Didi Index Pro – NNFX Trend Indicator
A Top 100 NNFX-Compliant Trend Indicator – Refined for Rule-Based Traders
This enhanced Didi Index is a purpose-built trend indicator optimized for No Nonsense Forex (NNFX) systems. It reimagines the classic Brazilian Didi Index with powerful upgrades designed for serious, rules-based trading.
🔍 What Makes This Version Unique?
✅ NNFX-Adjusted Logic
• Removes short/fast MAs to reduce noise
• Designed to work only with long-period moving averages – as per VP’s recommendations
🔁 Inverted & Zero-Centered
• Deviations are plotted relative to the medium MA baseline at zero
• Inverted formula offers better signal clarity (e.g., rising above zero = uptrend)
🎛️ Customizable with 25+ Moving Average Types
• Choose SMA, EMA, WMA, VWMA, Hull, LSMA, and more
• Tune each line individually to match your system rules
📢 Alerts Built In
• Set alerts for crossovers, entering/exiting zones, or custom signal events
• Works as a primary confirmation, secondary confirmation or even exit indicator
🎯 Clean Signals, Fast Readability
• Removed the "Curta" and relies on the better "Longa" line relative to a zero centered "Media" line
• Great for confirming higher timeframe trends or filtering false entries
🕰️ History & Context
Originally developed by Brazilian trader Odir “Didi” Aguiar, the Didi Index compares short, medium, and long moving averages to spot market compression and expansions. This version repurposes the idea for trend-following, not mean reversion, and fully aligns with NNFX methodology.
📎 How to Use in NNFX Systems
Use this indicator as part of your C1 or C2 (confirmation) indicator:
When the Longa line is above zero → Bias = Long
When the Longa line is below zero → Bias = Short
Avoid trades when both lines are tightly compressed near zero
✅ Designed by traders who follow the rules.
✅ Built for traders who want clarity, consistency, and compliance.
🚀 Moving Averages
Trend-determining method offers 26 high quality Moving averages to choose.
"SMA", Simple Moving Average, R. H. Hooker, 1901
"EMA", Exponential Moving Average, P. N. Haurlan, early 1960s
"MDMA", McGinley Dynamic MA, John R. McGinley, 1990s
"DSEMA", Double Smoothed EMA, William Blau, year unknown
"DEMA", Double EMA, Patrick G. Mulloy, 1994
"TEMA", Triple EMA, Patrick G. Mulloy, 1994
"WMA", Weighted MA, Author and year unknown
"PWMA", Parabolic Weighted MA, Author and year unknown
"VWMA", Volume Weighted MA, Author and year unknown
"HULL", Hull MA, Alan Hull, 2005, year unknown
"TMA", Triangular MA, Author and year unknown
"B2P", Two Pole Ehlers Butterworth, John F. Ehlers, 2004
"S2P", Two Pole Ehlers Smoother, John F. Ehlers, year unknown
"S3P", Three Pole Ehlers Smoother, John F. Ehlers, year unknown
"SINE", Sine Weighted MA, Author and year unknown
"LINREG", Linear Regression Value (LSMA), Author and year unknown
"ILINREG", Integral of Linear Regression Slope, Author and year unknown
"NLMA", Non Lag MA, Author and year unknown
"ZLMA", Zero Lag MA, Author and year unknown
"KIJUN", Kijun-Sen Ichimoku, Goichi Hosoda, late 1930s
"SSM", Super Smoother, John F. Ehlers, year unknown
"ALMA", Arnaud Legoux MA, Arnaud Legoux, year unknown
"KAMA", Kaufman Adaptive MA, Perry J. Kaufman, 1998
"FRAMA", Fractal MA, John F. Ehlers, year unknown
"RMA", Running MA, J. Welles Wilder Jr., 1978
"JMA", Jurik Moving Average, Mark Jurik, year unknown
🚥 Signals
The indicator displays buy/sell signals, Beyond-ATR signals, and recommends when a pullback entry is possible.
Long Signal
Short Signal
📢 Alerts
Each chart signal can trigger an alert with the same name. To avoid multiple alerts being triggered within a single candle, it is recommended to wait for the candle to close and use the 'Once Per Bar Close' setting.
Long Signal
Short Signal
🗃️ About
Name: Uber Didi Index Pro – NNFX Trend Indicator
Created: 2025/06/20
PineScript: v6
Top-Center Range BoxTop-Center Range Box Indicator
This indicator calculates and displays:
The current bar’s range (High minus Low)
The average range over a specified number of previous bars
The percentage of the current range compared to that average
The result is shown in a floating label near the top of the chart.
VWVI - Volume Weighted Volatility Index# 📊 Complete VWVI Indicator User Guide (Current Version)
## 🔍 **I. Core Principles**
### **VWVI's Unique Value**
VWVI isn't a simple volatility indicator, but a **volume-confirmed volatility strength indicator**:
- **Problems with traditional volatility indicators**: ATR, Bollinger Bands, etc. only look at price movements while ignoring volume
- **VWVI advantage**: Only fluctuations accompanied by high volume are considered "true volatility"
- **Core logic**: Fluctuations driven by large capital are more important than retail noise
---
## 🎨 **II. Detailed Explanation of Current Version Visual Elements**
### **1. Main Line Color System (Most Important Signal)**
```
🟢 Green main line (VWVI > 60):
├─ Meaning: High volatility + high volume = true trend
├─ Market state: One-way market, breakout market, trend acceleration
├─ Trading opportunity: Trend following, momentum trading
└─ Duration: Typically lasts several cycles
🟠 Orange main line (40 ≤ VWVI ≤ 60):
├─ Meaning: Medium volatility or mismatched volume
├─ Market state: Transition phase, direction pending
├─ Trading strategy: Wait-and-see, await clear signals
└─ Note: High probability of false breakouts
🔴 Red main line (VWVI < 40):
├─ Meaning: Low volatility + low volume = consolidation
├─ Market state: Sideways, range-bound, shrinking volume
├─ Trading opportunity: Range trading, mean reversion
└─ Feature: Price oscillates between support/resistance
```
### **2. Reference Line System (Auxiliary Judgment)**
```
🟢 Trend threshold line (default 60):
├─ Function: Watershed for trend confirmation
├─ Breakout upward: Trend begins confirmation
├─ Break downward: Trend weakening or ending
└─ Adjustment suggestion: Can adjust based on market characteristics (50-70)
🔴 Range threshold line (default 40):
├─ Function: Confirmation line for range-bound markets
├─ Break downward: Range-bound market confirmed
├─ Breakout upward: Range may be ending
└─ Adjustment suggestion: Can adjust based on volatility (30-50)
⚫ Center line (50):
├─ Function: Market neutral reference
├─ Above: Trend characteristics
├─ Below: Range characteristics
└─ Meaning: Long-term equilibrium position
```
### **3. Background Coloring System (State Identification)**
```
🟢 Light green background:
├─ Trigger: VWVI > trend threshold
├─ Meaning: Trend confirmation period
├─ Trading suggestion: Trend following strategy
└─ Risk: Possible reversal at trend end
🔴 Light red background:
├─ Trigger: VWVI < range threshold
├─ Meaning: Range-bound confirmation period
├─ Trading suggestion: Range trading strategy
└─ Opportunity: Look for support/resistance levels
🟩 Green background flashing:
├─ Trigger: VWVI breaks through trend threshold
├─ Meaning: Trend signal generated
├─ Action: Consider establishing trend positions
└─ Confirmation: Needs other indicators
🟥 Red background flashing:
├─ Trigger: VWVI breaks below range threshold
├─ Meaning: Range signal generated
├─ Action: Consider range trading strategy
└─ Confirmation: Observe persistence
```
### **4. Information Panel (Upper Right Corner)**
```
📊 Real-time data display:
├─ VWVI value: Current indicator reading
├─ Current state: Trend/Range/Neutral
├─ Volume status: Above/Below 20-day average
├─ Volatility strength: High/Low volatility
├─ Trend threshold: Current setting
└─ Range threshold: Current setting
```
---
## 📈 **III. Specific Usage Methods**
### **A. Trend Following Strategy**
```
🎯 Entry timing:
✅ VWVI breaks above 60 from below (green background flashing)
✅ Main line turns green and continues rising
✅ Volume status shows "above average"
✅ Volatility strength shows "high volatility"
📍 Position management:
- Continue holding: VWVI remains above 60
- Reduce position warning: VWVI starts declining but still >50
- Stop loss exit: VWVI breaks below 50 or turns orange
⚠️ Risk control:
- False breakout: VWVI quickly falls back after breaking 60
- Trend end: VWVI oscillates at high levels
```
### **B. Range Trading Strategy**
```
🎯 Confirm range:
✅ VWVI breaks below 40 (red background flashing)
✅ Main line turns red and lingers at low levels
✅ Volume status shows "below average"
✅ Volatility strength shows "low volatility"
📍 Trading strategy:
- Upper range: Look for resistance to short
- Lower range: Look for support to long
- Stop loss: Breakout beyond range boundaries
- Profit target: Near range midpoint
⚠️ Notes:
- False breakouts may occur at range end
- Abnormal volume spikes may signal trend change
```
### **C. State Transition Strategy**
```
🔄 Range→Trend transition:
- Observe: VWVI rises from <40 to 40-60 range
- Prepare: Orange main line phase preparation
- Confirm: Consider entry when breaking 60
- Verify: Whether volume expands simultaneously
🔄 Trend→Range transition:
- Warning: VWVI declines from >60 to 40-60 range
- Reduce position: Gradually reduce in orange phase
- Confirm: Switch to range strategy when breaking 40
- Observe: Whether it's a trend pullback
```
---
## ⚠️ **IV. Common Mistakes and Precautions**
### **❌ Common Mistakes**
1. **Mistake 1: Using VWVI alone**
- ❌ Wrong: Making trading decisions based solely on VWVI
- ✅ Correct: Combine with price action, support/resistance, other indicators
2. **Mistake 2: Ignoring volume confirmation**
- ❌ Wrong: Only looking at VWVI values, ignoring volume status
- ✅ Correct: VWVI signal + volume confirmation = more reliable signal
3. **Mistake 3: Overtrading**
- ❌ Wrong: Trading every color change
- ✅ Correct: Wait for clear state transition signals
4. **Mistake 4: Fixed thresholds**
- ❌ Wrong: Using 60/40 thresholds for all markets
- ✅ Correct: Adjust parameters for different products
5. **Mistake 5: Ignoring background information**
- ❌ Wrong: Not considering market environment and fundamentals
- ✅ Correct: Combine with market cycles and important events
### **⚡ Special Situation Handling**
```
🚨 Abnormal signal identification:
- VWVI spikes sharply >80: May indicate sudden events
- VWVI remains <20 long-term: Extreme market contraction
- Frequent oscillation near thresholds: Market indecision
- Volume-VWVI divergence: Requires caution
🎯 Optimal usage environment:
✅ Suitable: Actively traded mainstream products
✅ Suitable: Markets with sufficient historical data
✅ Suitable: Exchanges with accurate volume data
❌ Not suitable: Extremely low liquidity products
❌ Not suitable: Heavily manipulated small coins
❌ Not suitable: Newly listed products (insufficient data)
```
### **🔧 Parameter Optimization Suggestions**
```
📊 Parameter suggestions for different markets:
- BTC/ETH major coins: Keep default 14/60/40
- Altcoins: Can adjust to 10/65/35 (more sensitive)
- Stock market: Can adjust to 20/55/45 (more stable)
- Forex market: Can adjust to 21/58/42 (follow tradition)
⏱️ Different timeframes:
- 1-minute: Not recommended (too noisy)
- 5-15 minutes: Short-term trading, can adjust sensitivity
- 1-4 hours: Medium-term trading, keep defaults
- Daily: Long-term analysis, can be more conservative
```
**Summary: VWVI is a powerful market state identification tool, but requires correct understanding of its meaning, combination with other analysis methods, and avoidance of overtrading to maximize effectiveness.**
# 📊 VWVI指标完全使用指南(当前版本)
## 🔍 **一、指标核心原理**
### **VWVI的独特价值**
VWVI不是简单的波动率指标,而是**成交量确认的波动强度指标**:
- **传统波动率指标问题**:ATR、布林带等只看价格波动,忽略了成交量
- **VWVI的优势**:只有伴随大成交量的波动才被认为是"真实波动"
- **核心逻辑**:大资金推动的波动比散户噪音更重要
---
## 🎨 **二、当前版本视觉元素详解**
### **1. 主线颜色系统(最重要的信号)**
```
🟢 绿色主线 (VWVI > 60):
├─ 含义:高波动 + 高成交量 = 真实趋势
├─ 市场状态:单边行情、突破行情、趋势加速
├─ 交易机会:趋势跟随、动量交易
└─ 持续时间:通常持续数个周期
🟠 橙色主线 (40 ≤ VWVI ≤ 60):
├─ 含义:中等波动或成交量不匹配
├─ 市场状态:过渡阶段、方向待定
├─ 交易策略:观望、等待明确信号
└─ 注意:假突破高发区域
🔴 红色主线 (VWVI < 40):
├─ 含义:低波动 + 低成交量 = 震荡整理
├─ 市场状态:横盘、区间震荡、成交萎缩
├─ 交易机会:区间交易、均值回归
└─ 特征:价格在支撑阻力间反复
```
### **2. 参考线系统(辅助判断)**
```
🟢 趋势阈值线 (默认60):
├─ 作用:趋势确认的分水岭
├─ 突破向上:趋势行情开始确认
├─ 跌破向下:趋势减弱或结束
└─ 调整建议:可根据市场特性调整(50-70)
🔴 震荡阈值线 (默认40):
├─ 作用:震荡行情的确认线
├─ 跌破向下:震荡行情确认
├─ 突破向上:震荡可能结束
└─ 调整建议:可根据波动性调整(30-50)
⚫ 中线 (50):
├─ 作用:市场中性参考
├─ 上方:偏向趋势特征
├─ 下方:偏向震荡特征
└─ 意义:长期均衡位置
```
### **3. 背景着色系统(状态识别)**
```
🟢 淡绿色背景:
├─ 触发:VWVI > 趋势阈值
├─ 含义:趋势行情确认期
├─ 交易建议:趋势跟随策略
└─ 风险:趋势末期可能反转
🔴 淡红色背景:
├─ 触发:VWVI < 震荡阈值
├─ 含义:震荡行情确认期
├─ 交易建议:区间交易策略
└─ 机会:寻找支撑阻力位
🟩 绿色背景闪烁:
├─ 触发:VWVI突破趋势阈值瞬间
├─ 含义:趋势信号产生
├─ 行动:考虑建立趋势仓位
└─ 确认:需结合其他指标
🟥 红色背景闪烁:
├─ 触发:VWVI跌破震荡阈值瞬间
├─ 含义:震荡信号产生
├─ 行动:考虑区间交易策略
└─ 确认:观察是否持续
```
### **4. 信息面板(右上角)**
```
📊 实时数据显示:
├─ VWVI数值:当前指标读数
├─ 当前状态:趋势/震荡/中性
├─ 成交量状态:高于/低于20日均值
├─ 波动强度:高波动/低波动
├─ 趋势阈值:当前设置值
└─ 震荡阈值:当前设置值
```
---
## 📈 **三、具体使用方法**
### **A. 趋势跟随策略**
```
🎯 入场时机:
✅ VWVI从下方突破60(绿色背景闪烁)
✅ 主线变为绿色且持续上升
✅ 成交量状态显示"高于均值"
✅ 波动强度显示"高波动"
📍 持仓管理:
- 继续持有:VWVI保持在60以上
- 减仓警告:VWVI开始下降但仍>50
- 止损离场:VWVI跌破50或变为橙色
⚠️ 风险控制:
- 假突破:VWVI突破60后快速回落
- 趋势末期:VWVI在高位震荡
```
### **B. 震荡交易策略**
```
🎯 确认震荡:
✅ VWVI跌破40(红色背景闪烁)
✅ 主线变为红色且在低位徘徊
✅ 成交量状态显示"低于均值"
✅ 波动强度显示"低波动"
📍 操作策略:
- 区间上沿:寻找阻力位做空
- 区间下沿:寻找支撑位做多
- 止损设置:突破区间边界
- 利润目标:区间中轴附近
⚠️ 注意事项:
- 震荡末期可能出现假突破
- 成交量异常放大需警惕变盘
```
### **C. 状态转换策略**
```
🔄 震荡→趋势转换:
- 观察:VWVI从<40上升至40-60区间
- 准备:橙色主线阶段做好准备
- 确认:突破60时考虑入场
- 验证:成交量是否同步放大
🔄 趋势→震荡转换:
- 警告:VWVI从>60下降至40-60区间
- 减仓:橙色主线阶段逐步减仓
- 确认:跌破40时转为震荡策略
- 观察:是否为趋势中的回调
```
---
## ⚠️ **四、使用误区与注意事项**
### **❌ 常见误区**
1. **误区一:单独使用VWVI**
- ❌ 错误:仅凭VWVI做交易决策
- ✅ 正确:结合价格行为、支撑阻力、其他指标
2. **误区二:忽略成交量确认**
- ❌ 错误:只看VWVI数值,不看成交量状态
- ✅ 正确:VWVI信号+成交量确认=更可靠信号
3. **误区三:频繁交易**
- ❌ 错误:每次颜色变化都交易
- ✅ 正确:等待明确的状态转换信号
4. **误区四:固定阈值**
- ❌ 错误:所有市场都用60/40阈值
- ✅ 正确:根据不同品种调整参数
5. **误区五:忽略背景信息**
- ❌ 错误:不看市场环境和基本面
- ✅ 正确:结合市场周期和重要事件
### **⚡ 特殊情况处理**
```
🚨 异常信号识别:
- VWVI急剧飙升>80:可能是突发事件
- VWVI长期<20:市场极度萎缩
- 频繁在阈值附近震荡:市场犹豫不决
- 成交量与VWVI背离:需谨慎对待
🎯 最佳使用环境:
✅ 适用:活跃交易的主流品种
✅ 适用:有足够历史数据的市场
✅ 适用:成交量数据准确的交易所
❌ 不适用:极低流动性品种
❌ 不适用:操纵严重的小币种
❌ 不适用:新上市品种(数据不足)
```
### **🔧 参数调优建议**
```
📊 不同市场的参数建议:
- BTC/ETH主流币:保持默认14/60/40
- 山寨币:可调整为10/65/35(更敏感)
- 股票市场:可调整为20/55/45(更稳定)
- 外汇市场:可调整为21/58/42(跟随传统)
⏱️ 不同时间周期:
- 1分钟:不建议使用(噪音太大)
- 5-15分钟:短线交易,参数可调敏感
- 1-4小时:中线交易,保持默认
- 日线:长线分析,可调保守
```
**总结:VWVI是一个强大的市场状态识别工具,但需要正确理解其含义,结合其他分析方法,避免过度交易,才能发挥最大效用。**
2 EMA + 2 SMA Signals with EMA Crossovers (1-Day Timeframe)Simple Ema or Sma allowing to choose custom intervals
Dynamic EMA Ribbon SystemThis Pine Script v6 indicator creates a multi-EMA ribbon that dynamically changes color based on market conditions. It includes 16 EMAs (21 to 66 in 3-period increments) and a thick 200 EMA for long-term trend reference. The indicator automatically detects bullish, bearish, and sideways markets, adjusting the EMA colors accordingly for clear visual interpretation.
Key Features
1. Multi-EMA Ribbon (21 to 66)
16 EMAs plotted distinctly (21, 24, 27, 30, 33, 36, 39, 42, 45, 48, 51, 54, 57, 60, 63, 66).
Each EMA is individually visible (not clubbed together).
Adjustable line thickness (1-3 pixels).
2. Dynamic Color System
Green EMAs:
Price is above all EMAs.
EMAs are stacked ascendingly (21 > 24 > 27 > ... > 66).
Red EMAs:
Price is below all EMAs.
EMAs are stacked descendingly (21 < 24 < 27 < ... < 66).
Gray EMAs:
Market is sideways (price range within threshold).
EMAs are not properly stacked (no clear trend).
3. 200 EMA Reference Line
Thick black line (3px width).
Broken line style for better visibility.
Trend confirmation:
"▲ Trend Start" label when price crosses above 200 EMA.
"▼ Trend End" label when price crosses below 200 EMA.
4. Market State Detection
Sideways Market Condition:
Detected when price range is < user-defined threshold (default: 1.5%).
Background turns light gray.
Trending Market Condition:
Bullish: Background turns light green.
Bearish: Background turns light red.
5. Visual Enhancements
Price Position Line:
Blue line showing recent price movement (last 20 bars).
Clear Labels:
Large "Trend Start" / "Trend End" alerts.
No Repainting:
Uses confirmed signals to avoid false alerts.
Input Parameters
Parameter Description Default Range
Show 200 EMA Toggles the 200 EMA reference line true true/false
EMA Line Thickness Adjusts thickness of EMAs (1-3px) 1 1-3
Sideways Threshold (%) Price range % to consider market sideways 1.5% 0.1-10%
Sideways Period Bars analyzed for sideways condition 20 5-100
How to Use in Trading
Bullish Market (Green EMAs)
Entry Signal:
Price above all EMAs + EMAs stacked upward.
Confirmation: Price crosses above 200 EMA ("▲ Trend Start").
Exit Signal:
EMAs turn red or price drops below key EMAs.
Bearish Market (Red EMAs)
Entry Signal:
Price below all EMAs + EMAs stacked downward.
Confirmation: Price crosses below 200 EMA ("▼ Trend End").
Exit Signal:
EMAs turn green or price rises above key EMAs.
Sideways Market (Gray EMAs)
Strategy:
Avoid trend trades.
Look for breakouts (price exits range with EMA color change).
Code Highlights
✔ Optimized Performance – Uses arrays for EMA calculations.
✔ No Repainting – Signals are confirmed before display.
✔ Professional Visuals – Clean labels, dynamic colors, and intuitive design.
Final Notes
This indicator is perfect for:
✅ Trend-following strategies (swing/day trading).
✅ Breakout confirmation (sideways → trending shifts).
✅ Multi-timeframe analysis (works on all timeframes).
Installation:
Copy the Pine Script code.
Paste into TradingView’s Pine Editor.
Apply to any chart.
Patrik BTC Exponential Model v.2A MULTI-ANCHOR EULER'S EXPONENTIAL REGRESSION MODEL v2.0
Implements Euler's exponential growth model: BTC(t) = a × e^(r × t)
Based on Euler's number (e ≈ 2.71828) for natural exponential growth
- a = Initial coefficient (y-intercept in log space)
- r = Growth rate (slope in log space)
- t = Years since anchor date
FEATURES:
- Exponential regression line with ±2 SD bands
- R-squared for model fit assessment
- Log/linear regression modes
- Real-time deviation tracking
- Customizable anchor date
- BUY/SELL SIGNALS: Background zones & bar colors
- Green = Buy (below trend), Red = Sell (above trend)
- Darker colors = Stronger signals (±2 SD)
IMPORTANT CAVEATS:
⚠️ ANCHOR BIAS: Selecting "best fit" dates introduces look-ahead bias
⚠️ NOT PREDICTIVE: High R² shows historical fit, not future reliability
⚠️ For analysis only - NOT investment advice
TIPS:
- Use log scale (right-click price axis → "Logarithmic")
- ±2σ bands ≈ 95% confidence assuming normal distribution
- Signals: Strong Buy <-2σ | Buy <-1σ | Neutral | Sell >+1σ | Strong Sell >+2σ
- Note @GallantCryptoYT has a much more sophisticated exit / entry
CREDITS:
@GallantCryptoYT (Patreon: Gallant Crypto)
Hidden Markov Model [Extension] | FractalystWhat's the indicator's purpose and functionality?
The Hidden Markov Model is specifically designed to integrate with the Quantify Trading Model framework, serving as a probabilistic market regime identification system for institutional trading analysis.
Hidden Markov Models are particularly well-suited for market regime detection because they can model the unobservable (hidden) state of the market, capture probabilistic transitions between different states, and account for observable market data that each state generates.
The indicator uses Hidden Markov Model mathematics to automatically detect distinct market regimes such as low-volatility bull markets, high-volatility bear markets, or range-bound consolidation periods.
This approach provides real-time regime probabilities without requiring optimization periods that can lead to overfitting, enabling systematic trading based on genuine probabilistic market structure.
How does this extension work with the Quantify Trading Model?
The Hidden Markov Model | Fractalyst serves as a probabilistic state estimation engine for systematic market analysis.
Instead of relying on traditional technical indicators, this system automatically identifies market regimes using forward algorithm implementation with three-state probability calculation (bullish/neutral/bearish), Viterbi decoding process for determining most likely regime sequence without repainting, online parameter learning with adaptive emission probabilities based on market observations, and multi-feature analysis combining normalized returns, volatility comprehensive regime assessment.
The indicator outputs regime probabilities and confidence levels that can be used for systematic trading decisions, portfolio allocation, or risk management protocols.
Why doesn't this use optimization periods like other indicators?
The Hidden Markov Model | Fractalyst deliberately avoids optimization periods to prevent overfitting bias that destroys out-of-sample performance.
The system uses a fixed mathematical framework based on Hidden Markov Model theory rather than optimized parameters, probabilistic state estimation using forward algorithm calculations that work across all market conditions, online learning methodology with adaptive parameter updates based on real-time market observations, and regime persistence modeling using fixed transition probabilities with 70% diagonal bias for realistic regime behavior.
This approach ensures the regime detection signals remain robust across different market cycles without the performance degradation typical of over-optimized traditional indicators.
Can this extension be used independently for discretionary trading?
No, the Hidden Markov Model | Fractalyst is specifically engineered for systematic implementation within institutional trading frameworks.
The indicator is designed to provide regime filtering for systematic trading algorithms and risk management systems, enable automated backtesting through mathematical regime identification without subjective interpretation, and support institutional-level analysis when combined with systematic entry/exit models.
Using this indicator independently would miss the primary value proposition of systematic regime-based strategy optimization that institutional frameworks provide.
How do I integrate this with the Quantify Trading Model?
Integration enables institutional-grade systematic trading through advanced machine learning and statistical validation:
- Add both HMM Extension and Quantify Trading Model to your chart
- Select HMM Extension as the bias source using input.source()
- Quantify automatically uses the extension's bias signals for entry/exit analysis
- The built-in machine learning algorithms score optimal entry and exit levels based on trend intensity, and market structure patterns identified by the extension
The extension handles all bias detection complexity while Quantify focuses on optimal trade timing, position sizing, and risk management along with PineConnector automation
What markets and assets does the indicator Extension work best on?
The Hidden Markov Model | Fractalyst performs optimally on markets with sufficient price movement since the system relies on statistical analysis of returns, volatility, and momentum patterns for regime identification.
Recommended asset classes include major forex pairs (EURUSD, GBPUSD, USDJPY) with high liquidity and clear regime transitions, stock index futures (ES, NQ, YM) providing consistent regime behavior patterns, individual equities (large-cap stocks with sufficient volatility for regime detection), cryptocurrency markets (BTC, ETH with pronounced regime characteristics), and commodity futures (GC, CL showing distinct market cycles and regime transitions).
These markets provide sufficient statistical variation in returns and volatility patterns, ensuring the HMM system's mathematical framework can effectively distinguish between bullish, neutral, and bearish regime states.
Any timeframe from 15-minute to daily charts provides sufficient data points for regime calculation, with higher timeframes (4H, Daily) typically showing more stable regime identification with fewer false transitions, while lower timeframes (30m, 1H) provide more responsive regime detection but may show increased noise.
Acceptable Timeframes and Portfolio Integration:
- Any timeframe that can be evaluated within Quantify Trading Model's backtesting engine is acceptable for live trading implementation.
Legal Disclaimers and Risk Acknowledgments
Trading Risk Disclosure
The HMM Extension is provided for informational, educational, and systematic bias detection purposes only and should not be construed as financial, investment, or trading advice. The extension provides institutional analysis but does not guarantee profitable outcomes, accurate bias predictions, or positive investment returns.
Trading systems utilizing bias detection algorithms carry substantial risks including but not limited to total capital loss, incorrect bias identification, market regime changes, and adverse conditions that may invalidate analysis. The extension's performance depends on accurate data, TradingView infrastructure stability, and proper integration with Quantify Trading Model, any of which may experience data errors, technical failures, or service interruptions that could affect bias detection accuracy.
System Dependency Acknowledgment
The extension requires continuous operation of multiple interconnected systems: TradingView charts and real-time data feeds, accurate reporting from exchanges, Quantify Trading Model integration, and stable platform connectivity. Any interruption or malfunction in these systems may result in incorrect bias signals, missed transitions, or unexpected analytical behavior.
Users acknowledge that neither Fractalyst nor the creator has control over third-party data providers, exchange reporting accuracy, or TradingView platform stability, and cannot guarantee data accuracy, service availability, or analytical performance. Market microstructure changes, reporting delays, exchange outages, and technical factors may significantly affect bias detection accuracy compared to theoretical or backtested performance.
Intellectual Property Protection
The HMM Extension, including all proprietary algorithms, classification methodologies, three-state bias detection systems, and integration protocols, constitutes the exclusive intellectual property of Fractalyst. Unauthorized reproduction, reverse engineering, modification, or commercial exploitation of these proprietary technologies is strictly prohibited and may result in legal action.
Liability Limitation
By utilizing this extension, users acknowledge and agree that they assume full responsibility and liability for all trading decisions, financial outcomes, and potential losses resulting from reliance on the extension's bias detection signals. Fractalyst shall not be liable for any unfavorable outcomes, financial losses, missed opportunities, or damages resulting from the development, use, malfunction, or performance of this extension.
Past performance of bias detection accuracy, classification effectiveness, or integration with Quantify Trading Model does not guarantee future results. Trading outcomes depend on numerous factors including market regime changes, pattern evolution, institutional behavior shifts, and proper system configuration, all of which are beyond the control of Fractalyst.
User Responsibility Statement
Users are solely responsible for understanding the risks associated with algorithmic bias detection, properly configuring system parameters, maintaining appropriate risk management protocols, and regularly monitoring extension performance. Users should thoroughly validate the extension's bias signals through comprehensive backtesting before live implementation and should never base trading decisions solely on automated bias detection.
This extension is designed to provide systematic institutional flow analysis but does not replace the need for proper market understanding, risk management discipline, and comprehensive trading methodology. Users should maintain active oversight of bias detection accuracy and be prepared to implement manual overrides when market conditions invalidate analysis assumptions.
Terms of Service Acceptance
Continued use of the HMM Extension constitutes acceptance of these terms, acknowledgment of associated risks, and agreement to respect all intellectual property protections. Users assume full responsibility for compliance with applicable laws and regulations governing automated trading system usage in their jurisdiction.
Inside Bars / Inside Mother Bars [jenaparadies]This script offers the following features:
highlight inside bars
highlight bars inside a mother bar
highlight the mother bar itself (optional)
No-gap candles (optional)
Redefines each candle’s opening price so that it matches the previous candle’s closing price. It is done for every candle on the chart, but particularly important if subsequent candles trade inside the gap and thus, are still considered inside bars.
Bitcoin Power Law Clock [LuxAlgo]The Bitcoin Power Law Clock is a unique representation of Bitcoin prices proposed by famous Bitcoin analyst and modeler Giovanni Santostasi.
It displays a clock-like figure with the Bitcoin price and average lines as spirals, as well as the 12, 3, 6, and 9 hour marks as key points in the cycle.
🔶 USAGE
Giovanni Santostasi, Ph.D., is the creator and discoverer of the Bitcoin Power Law Theory. He is passionate about Bitcoin and has 12 years of experience analyzing it and creating price models.
As we can see in the above chart, the tool is super intuitive. It displays a clock-like figure with the current Bitcoin price at 10:20 on a 12-hour scale.
This tool only works on the 1D INDEX:BTCUSD chart. The ticker and timeframe must be exact to ensure proper functionality.
According to the Bitcoin Power Law Theory, the key cycle points are marked at the extremes of the clock: 12, 3, 6, and 9 hours. According to the theory, the current Bitcoin prices are in a frenzied bull market on their way to the top of the cycle.
🔹 Enable/Disable Elements
All of the elements on the clock can be disabled. If you disable them all, only an empty space will remain.
The different charts above show various combinations. Traders can customize the tool to their needs.
🔹 Auto scale
The clock has an auto-scale feature that is enabled by default. Traders can adjust the size of the clock by disabling this feature and setting the size in the settings panel.
The image above shows different configurations of this feature.
🔶 SETTINGS
🔹 Price
Price: Enable/disable price spiral, select color, and enable/disable curved mode
Average: Enable/disable average spiral, select color, and enable/disable curved mode
🔹 Style
Auto scale: Enable/disable automatic scaling or set manual fixed scaling for the spirals
Lines width: Width of each spiral line
Text Size: Select text size for date tags and price scales
Prices: Enable/disable price scales on the x-axis
Handle: Enable/disable clock handle
Halvings: Enable/disable Halvings
Hours: Enable/disable hours and key cycle points
🔹 Time & Price Dashboard
Show Time & Price: Enable/disable time & price dashboard
Location: Dashboard location
Size: Dashboard size
Instrument Pair Reverse Candle AlertCompares price candles of two markets price candle divergence alert
LTP Risk CalculatorThis indicator is designed around the the LTP system of KCU to help students manage their accounts and protect against larger than expected losses by calculated position sizing based on the traders accepted risk. The trader can input 4 values for Risk, Delta, and Ask price and the indicator will calculate how many contracts the trader can enter the trade with.
This indicator can easily be used as part of the bell curve system by increasing or decreasing risk based on winning or losing the previous trade.
Easily view High, Low, Volume, AND Size (no more mental math!!) of the current forming candle as well as the previous candle to easily spot entry levels and stop losses.
Watch the current candle volume to predict how the candle will close in relation to the previous candle.
Enter each trade more confidently and with less stress, already knowing what you stand to lose before you enter the trade.
**DISCLAIMER**
This indicator is the most accurate if the PC is $1.00. This is a very accurate calculation but will have a margin of error because it cannot calculate things like IV, Theta, Slippage, manual execution of entry or exit, among other factors.
Multi-EMA with Daily EMA OverlayThe Multi-EMA with Daily EMA Overlay shows the 8,13,21,50,200 EMAs on the current timeframe. In addition shows the 50,200 Daily EMAs on every other timeframes.
SHA Multi Pivot Points -v1.0.0🔎Using Pivot Points in Trading
Traders use PPs to help determine predefined support and resistance levels to guide their trading strategies. In addition, traders identify potential price reversals, trend direction, and breakout opportunities:
Trend identification: PPs act as a reference level to gauge market sentiment. If the price opens above the PP and remains above it, traders interpret this as an uptrend. Conversely, if the price opens below the pivot point and stays below, it suggests a downtrend.
Support and resistance determination: Pivot levels are natural barriers where price reactions frequently occur. Traders may enter long positions near support levels, expecting a price bounce, or if the price approaches resistance levels, traders may consider shorting the asset.
Breakout trading: When the price breaks above resistance or support, it may indicate strong momentum for further movement.
Reversal identification: Traders also look for failed breakouts or price rejections at pivot levels to anticipate reversals.
Trading strategy combinations: Traders can improve accuracy by combining PPs with other technical analysis indicators.
1. Camarilla Pivot Points
📌 Overview:
Developed by Nick Scott in 1989, Camarilla Pivot Points are designed for short-term, intraday trading. Unlike traditional pivots, Camarilla levels are tighter and more responsive, making them useful in volatile markets.
📐 Key Levels:
It generates eight levels:
- Resistance: Initial Level (R1), Mid-range Level (R2), Sell Reversal Level (R3), Breakout Level (R4)
- Support: Initial Level (S1), Mid-range Level (S2), Buy Reversal Level (S3), Breakout Level (S4)
✅ How to Use:
- S1/R1 + RSI or volume divergence to confirm weak momentum and early reversals.
- S2/R2 with price action patterns to enter early on major moves before L3/H3 get tested.
- S3/R3: Mean-reversion zones → price often reverses.
- Break of S4/R4: Strong breakout → trend-following signal.
- Combine with volume or candlestick confirmation for entries.
🔹 2. Floor (Standard) Pivot Points
📌 Overview:
This is the most traditional pivot method, widely used by floor traders. It’s symmetrical and provides a clear central pivot point with equally spaced support and resistance levels.
📐 Key Levels:
- Povit Points : Average price (PPs)
- Resistance : First price ceiling (R1), Stronger ceiling (R2), Extreme resistance (R3)
- Support : First price floor (S1), Stronger floor (S2), Extreme support (S3)
✅ How to Use:
- Above PPs = bullish bias; Below PPs = bearish bias.
- S1/R1 are most used for intraday targets.
- S2–S3/R2–R3 indicate potential extreme moves.
- Often used in combination with momentum indicators.
🔹 3. Woodie Pivot Points
📌 Overview:
Woodie’s pivot formula gives double weight to the closing price, emphasizing the most recent session's sentiment.
📐 Key Levels:
- Povit Points : Weighted average (PPs)
- Resistance : First price ceiling (R1), Stronger resistance (R2)
- Support : First price floor (S1), Stronger support (S2)
✅ How to Use:
- Works best in fast-moving markets.
- PPs acts as a momentum-based balance level.
- Good for scalpers and momentum traders.
🔹 4. Fusion Pivot Points
📌 Overview:
This method differs significantly — it calculates only one support and one resistance level, adjusting based on the relationship between the open and close.
📐 Key Levels:
- Povit Points : Single directional (PPs)
- Resistance : Potential ceiling (R)
- Support : Potential floor (S)
✅ How to Use:
- Not symmetrical → more responsive to price behavior.
- Best for breakout or reversal strategies.
- Use when you're expecting directional momentum.
🔹 5. Classic Pivot Points (Traditional)
📌 Overview:
Also known as Standard or Traditional Pivot Points, this is the default method used by most charting platforms. It offers a balanced and simple framework.
📐 Key Levels:
- Povit Points : Central price level (PPs)
- Resistance : First ceiling (R1), Stronger resistance (R2), Extreme resistance (R3)
- Support : First floor (S1), Stronger floor (S2), Extreme support (S3)
✅ How to Use:
- PPs is the market’s equilibrium point.
- Helps define market structure, bias, and trade zones.
- Combine with order blocks, RSI, or MACD for confirmation.
📊 Summary Comparison :
1. Camarilla Pivot Points
- Focus : Mean Reversion & Breakouts
- Best Use : Scalping, Day Trading
2. Floor Pivot Points
- Focus : General Support/Resistance
- Best Use : Intraday, Swing
3. Woodie Pivot Points
- Focus : Recent Close Emphasis
- Best Use : Momentum Trading
4. Fusion Pivot Points
- Focus : Trend/Breakout
- Best Use : Directional Breakouts
5. Classic Povit Points
- Focus : Market Structure
- Best Use : General Use
⚠️ Disclaimer
The information and tools provided in this script are for educational and informational purposes only. They do not constitute financial advice, investment recommendations, or a solicitation to buy or sell any financial instrument.
Trading in the financial markets involves risk of loss and is not suitable for every investor. You are solely responsible for your trading decisions. Always do your own research, use proper risk management, and consult a licensed financial advisor before making any financial decisions.
BskLAB - Money Flow X🧠 BskLAB – Money Flow X | Usage Guide & Description
BskLAB - Money Flow X is a visual support tool designed to help traders observe market volume behavior, momentum, and potential reversal points through enhanced money flow logic. This script is especially helpful when used in combination with the BskLAB Signal Assistant to confirm volume-based entries or exits.
🔧 Preset Modes Overview
There are two main preset modes available, allowing users to view volume dynamics in different ways based on personal trading preferences:
📊 Mode 1: Money Flow (Enhanced MFI)
Based on the traditional Money Flow Index (MFI), enhanced to better suit real-time trading decisions.
Includes custom crossover levels and dynamic responsiveness to volume-pressure changes.
Features Divergence and Hidden Divergence detection, with visual cues:
✅ When a divergence or hidden divergence is detected, an arrow icon will appear directly on the chart:
Green arrow for Bullish Divergence
Red arrow for Bearish Divergence
Semi-transparent versions for hidden divergences
🔹 Use Case: Ideal for identifying potential turning points using volume pressure and divergence behavior.
🚀 Mode 2: Volume Momentum (BB-Based Histogram)
This mode uses a customized Bollinger Band (BB) logic, reinterpreted to highlight buying/selling momentum through histogram visualization.
Helps identify volume spikes, compression zones, and breakout strength.
Best used alongside the BSKLab Signal Assistant for signal confirmation.
🔹 Use Case: Validates breakout strength or confirms signals by showing real-time volume expansion/contraction.
⚙️ Adjustable Parameters
Both modes come with fully adjustable settings, allowing users to:
Modify sensitivity
Customize divergence display
Fine-tune volume thresholds to match their specific trading strategy
🧩 Summary
BskLAB - Money Flow X provides a dual-mode volume visualization solution:
One focused on intelligent money flow dynamics
The other on momentum strength through volume behavior
By combining visual cues, divergence signals, and volume histograms, traders gain a deeper understanding of market participation and potential turning points—a perfect complement to trend or reversal systems.
📌 Recommended for use together with BskLAB Signal Assistant for optimal trade filtering and volume confirmation.
Multi-EMA with Daily EMA(8,13,21,50,200) OverlayThis indicator shows the 8,13,21,50,200 EMAs on the current timeframe. Furthermore it shows the Daily 8,13,21,50,200 EMAs on every other timeframes.
BskLAB - Signals Assistant 🧠 BSKLab Signal Assistant – Usage Guide & Description
BSKLab Signal Assistant is a multi-strategy signal tool designed to support both trend-following and swing trading styles. The system integrates multiple components such as structure logic (BoS/CHoCH), zone filters, and customized overlays to provide clean, filtered buy/sell signals based on different market contexts.
🔧 Preset Modes Overview
The script includes three preset modes, each tailored for a specific trading style:
🌀 Mode 1: Swing
Focus: Reversal trading
Signals are generated at potential turning points in price.
Best used with Zone Style (dynamic support/resistance zones).
🔹 Entry condition: Only trade reversal signals that occur outside of the Zone Style area, avoiding ranging zones.
Ideal for swing traders aiming to enter before trend reversals.
📈 Mode 2: Following
Focus: Trend-following
Utilizes the Cloud (custom-enhanced Ichimoku system) to confirm trend direction.
Signals are only generated when the main trend is confirmed by the Cloud.
🔹 Entry condition: Signals appear only when price aligns with the dominant trend, filtered by Cloud Level 1–3 (adjustable strength).
Ideal for traders who prefer trading with strong momentum in the trend’s direction.
⚖️ Mode 3: Normal Swing
Focus: Balanced logic between swing and trend
Removes limitations from the other two modes.
Signals are based on Overbought/Oversold conditions.
🔹 Entry filter: Signals are further filtered using:
CHoCH / BoS structure shifts
Premium & Discount Zones (Smart Money Concept)
Example: Buy signals will only trigger inside Discount Zones, and Sell signals inside Premium Zones, confirming smart entry points.
📌 Key Components Explained
📍 Zone Style
A modified TMA-based dynamic support/resistance system, providing adaptable zones that help filter out low-probability trades.
→ Used best with Swing and Following modes.
☁️ Cloud (Ichimoku Enhancement)
A customized Ichimoku-based indicator optimized to define trend strength levels (1–3).
→ Used exclusively in Following mode to confirm trend alignment.
📉 CHoCH, BoS & FVG
These tools detect price structure shifts and Fair Value Gaps (FVG), inspired by Smart Money Concepts (SMC).
→ Help locate high-probability reversal/continuation zones.
💰 Premium & Discount Zones
These zones define "expensive to sell" and "cheap to buy" price levels.
→ Specifically used in Normal Swing Mode to validate whether a buy/sell signal appears in a favorable zone.
→ Example: A sell signal inside a Premium Zone increases win probability.
✅ Buy/Sell Signal Logic
Each mode has its own built-in logic to filter entries:
Swing Mode: Buy/Sell signals only occur outside the Zone Style to ensure trades align with clean reversal setups.
Following Mode: Signals only occur when price is aligned with the Cloud trend, ensuring entries match the main market momentum.
Normal Swing Mode: Signals are refined with OB/OS logic + structure + premium/discount filtering for balanced setups.
🧩 Summary
This system leverages a full suite of tools—price structure, dynamic zones, trend filters, and OB/OS signals—to produce high-confidence trading signals across various market conditions.
Traders can choose a mode that best matches their strategy while maintaining full visual clarity and logic consistency on chart.
Vegas-守真Vegas策略:指标只是辅助希望更多关注价格行为
Vegas strategy: Indicators are only supplementary; the focus should be more on price action.
VDR-PROVDR-PRO - Volume Weighted Average Price Dynamic Range
Advanced multi-timeframe VWAP indicator with intelligent range levels for precise trading decisions.
🎯 Key Features:
3 Independent Systems with configurable Average Daily/Weekly/Monthly Range calculations
VWAP Dismount Detection across multiple timeframes (Daily, Weekly, Monthly, Quarterly, Yearly)
Smart Level Synchronization - range levels automatically align with VWAP dismount points
Progressive Color System - automatic color coding for easy level identification
Intelligent Price Formatting - automatically adjusts decimal places based on symbol tick size
Dynamic Reference Points - use current price, manual price, or any VWAP dismount as central reference
📊 Perfect For:
Swing Trading - identify key support/resistance levels
Day Trading - precise entry/exit points based on volume-weighted levels
Range Trading - understand price distribution around volume-weighted averages
Multi-timeframe Analysis - combine different range calculations for comprehensive market view
⚙️ Customizable Settings:
Configure range periods (5-200 bars)
Adjust division factors (2-20x)
Set number of levels per system (2-15)
Choose from 12 different VWAP dismount references
Toggle progressive colors or use manual color schemes
🎨 Visual Excellence:
Clean, professional interface
Ghost-style labels with transparent backgrounds
Comprehensive range statistics table
Forex-friendly pip calculations
Transform your trading with precision VWAP-based range analysis. VDR-PRO combines volume analysis with dynamic range calculation for superior market insights.
Hello Traders Multi SMA Mon HLThis code will calculate the SMA averages as per various time frame and then plots them on chart and also will calculate the high and low of every month first day and then plots with horizontal line
Percent Change IndicatorThe Percent Change Indicator helps you see how much the price of an asset has changed over a specific number of bars (or candles) on the chart. You get to decide how many bars to look back — for example, the last 10 candles. The indicator takes the current closing price and compares it to the closing price from 10 bars ago, then calculates the percentage difference between the two.
If the price has increased, the indicator shows a positive value and displays it in green. If the price has dropped, the value is negative and shown in red. A horizontal zero line helps you quickly see whether the market is gaining or losing value over the selected period.
On your chart, this indicator appears as a line that moves up or down with the price trend. It updates in real time and works on all timeframes — so whether you're trading on the 1-minute chart or analyzing the daily chart, it always tells you how much the price has changed over the number of bars you chose.
This tool is especially useful for spotting trends, measuring price momentum, or identifying when the market is starting to reverse direction.
ATR Volatility BandsATR Volatility Bands is a simple and effective alternative to Bollinger Bands, using the Average True Range (ATR) instead of standard deviation to measure market volatility.
The indicator plots three lines:
A central moving average (SMA or EMA)
An upper band = MA + (ATR × multiplier)
A lower band = MA - (ATR × multiplier)
✅ Features:
Choose between EMA and SMA
Adjustable ATR and MA lengths
Customizable multiplier
🔍 How to use:
Breakouts: Price crossing above/below the bands may indicate strong momentum.
Squeeze Detection: Narrow bands can signal a period of low volatility — potential breakout setup.
Dynamic Support/Resistance: Use bands as zones for pullbacks and targets.
This tool helps traders better adapt to market conditions with volatility-aware levels.