MACD Multi-Timeframe[nakano]# MACD Multi-Timeframe Dashboard & Oscillator
## English Description
### Overview
This comprehensive indicator combines a standard MACD oscillator with a powerful **Multi-Timeframe (MTF) Dashboard**. It allows traders to monitor MACD trends, momentum, and signal crossovers across up to **11 different timeframes** simultaneously, displayed in a customizable table directly on the chart.
### Key Features
* **Massive MTF Support:** Configure up to 11 individual timeframe slots (TF0 to TF10), ranging from 1-minute to monthly charts.
* **Advanced Trend Detection:** The dashboard uses strict logic to identify "Strong Bullish" or "Strong Bearish" conditions, indicated by colored headers and symbols (▲/▼).
* **Momentum Arrows:** Real-time visual cues (↑↑, ↑, ↗, etc.) indicate the strength and direction of the MACD and Signal lines.
* **Repaint Prevention:** Includes a "Wait for Bar Confirmation" feature for both the table and the oscillator to ensure analysis is based only on closed candles.
* **Customizable Design:** Adjust the table position, font size, transparency, and choose which data rows (MACD, Signal, Hist) to display.
* **Flexible Calculation:** Supports both SMA and EMA for MACD lines and Signal line smoothing.
### Visual Guide & Logic
**1. Dashboard Header (Timeframe Label)**
The header background changes color only when a **Strong Trend** is detected.
* **Bullish (Green / ▲):** Golden Cross + Both lines rising + All values (MACD, Signal, Hist) > 0 + Histogram rising.
* **Bearish (Red / ▼):** Dead Cross + Both lines falling + All values (MACD, Signal, Hist) < 0 + Histogram falling.
**2. Histogram Arrows**
Arrows indicate the momentum of the MACD and Signal lines during a crossover.
* **↑↑ / ↓↓ :** **Strongest Trend.** Crossover active, both lines moving in trend direction, AND values are in the correct zone (above/below 0).
* **↑ / ↓ :** **Strong Trend.** Crossover active and both lines moving in trend direction.
* **↗ / ↘ :** **Weak/Developing Trend.** Crossover active but momentum is mixed or lines are not fully aligned.
**3. Text Colors (Momentum)**
* **Colored Numbers (Green/Red):** Indicates momentum is **accelerating** in the trend direction (e.g., Histogram is positive and larger than the previous bar).
* **Black Numbers:** Indicates momentum is **fading** or the histogram has just crossed the zero line.
### Settings
* **MACD Calculation:** Fast/Slow lengths, Source, MA Type (SMA/EMA), and Signal Smoothing.
* **Table Layout:** Position (Top/Middle/Bottom, Left/Center/Right), Size, Transparency, and Row Visibility.
* **Confirmation:** Toggle "Wait for Bar Confirmation" (for Chart or Table) to stop repainting by using only closed bar data.
---
## 日本語 (Japanese Description)
### 概要
このインジケーターは、標準的なMACDオシレーターと、強力な**マルチタイムフレーム（MTF）ダッシュボード**を組み合わせたツールです。最大**11種類の異なる時間足**におけるMACDのトレンド、勢い（モメンタム）、クロスの状況を、チャート上のカスタマイズ可能なテーブルで同時に監視できます。
### 主な機能
* **多機能なMTFサポート:** 1分足から月足まで、最大11個の時間足スロット（TF0～TF10）を個別に設定可能です。
* **高度なトレンド判定:** 厳格なロジックを用いて「強い強気（Strong Bullish）」や「強い弱気（Strong Bearish）」を判定し、ヘッダーの色や記号（▲/▼）で知らせます。
* **モメンタム矢印:** MACDラインとシグナルラインの強さと方向を、矢印（↑↑, ↑, ↗ など）でリアルタイムに可視化します。
* **リペイント（再描画）防止:** テーブルとオシレーターのそれぞれに「確定足のみを使用（Wait for Bar Confirmation）」するオプションがあり、閉じたローソク足のみに基づいた分析が可能です。
* **デザインのカスタマイズ:** テーブルの位置、フォントサイズ、透明度、表示するデータ行（MACD, Signal, Hist）を自由に調整できます。
* **柔軟な計算設定:** MACD線やシグナル線の計算において、SMA（単純移動平均）とEMA（指数平滑移動平均）を選択可能です。
### 表示ロジックの解説
**1. ダッシュボードヘッダー（時間足ラベル）**
**強いトレンド**が検出された場合のみ、ヘッダーの背景色が変化します。
* **強気 (緑 / ▲):** ゴールデンクロス中 ＋ 両線が上昇 ＋ 全値（MACD, Signal, Hist）が0以上 ＋ ヒストグラムが上昇中。
* **弱気 (赤 / ▼):** デッドクロス中 ＋ 両線が下降 ＋ 全値（MACD, Signal, Hist）が0以下 ＋ ヒストグラムが下降中。
**2. ヒストグラムの矢印**
クロス中のモメンタムの強さを矢印で示します。
* **↑↑ / ↓↓ :** **最強のトレンド。** クロス発生中で、両線がトレンド方向に動き、かつ正しいゾーン（0より上/下）にある状態。
* **↑ / ↓ :** **強いトレンド。** クロス発生中で、両線がトレンド方向に動いている状態。
* **↗ / ↘ :** **弱い/発生中のトレンド。** クロス発生中だが、勢いがまちまちか、方向が揃っていない状態。
**3. テキストの色（勢い）**
* **色付きの数値 (緑/赤):** トレンド方向への**勢いが加速している**ことを示します（例：ヒストグラムがプラス圏で、かつ前回より上昇している）。
* **黒色の数値:** **勢いが減衰している**、またはゼロラインをまたいだ直後であることを示します。
### 設定項目
* **MACD Calculation:** 短期/長期の期間、ソース、MAタイプ（SMA/EMA）、シグナル平滑化の設定。
* **Table Layout:** テーブルの位置（9箇所）、サイズ、透明度、表示データ行（MACD/Signal/Hist）の選択。
* **Confirmation:** "Wait for Bar Confirmation" を有効にすると、現在足ではなく「1本前の確定足」を使用するため、リペイント（再描画）を防止できます。
M-oscillator
Dual-Engine Regime and Flow OscillatorDual-Engine Regime & Flow Oscillator (DERFI)
OVERVIEW
The DERFI is a market structure study that decouples price velocity from institutional volume participation. By combining an adaptive momentum engine with a normalized liquidity gauge, it highlights:
High-conviction trends backed by strong volume
Low-participation or "exhaustion" phases where price diverges from volume
TECHNICAL LOGIC & ORIGINALITY
Published as Protected to safeguard our proprietary regime-detection methodology. DERFI leverages two data streams:
Momentum Engine (Adaptive Price Velocity)
Dual-lookback smoothing with a 50-median center
Visualizes relative move velocity vs historical volatility
Liquidity & Activity Gauge (Volume Flow Proxy)
Normalized volume flow filtered for noise
Linear regression smoothing (10-period) to isolate institutional activity
HOW TO USE: ANALYZING MARKET REGIMES
High-Conviction Trends (Convergence)
Bullish: Momentum > 50 and Liquidity Gauge > 50 → price supported by institutional flow
Bearish: Both engines < 50 → strong selling pressure confirming downtrend
Spotting Thin Moves (Divergence)
Liquidity Lag: Momentum high (>80) but Liquidity <50 or falling → weak participation, possible pullback
Absorption Phase: Rising Liquidity with neutral Momentum → accumulation or distribution without major price move
Volatility Extremes
Exhaustion Zones: 80 (Overbought) and 20 (Oversold) act as caution flags, not automatic fade signals
Squeeze Read: Extreme Momentum + strong Liquidity → trend likely continues; drop in Liquidity → trend may end
USER INPUTS
Fast/Slow Momentum Lengths: Adjusts sensitivity of momentum engine
VFI Length: Smooths liquidity gauge for your timeframe
VFI Cutoff: Sets threshold for significant volume flow
NOTES
For historical visualization and educational purposes only. No trade signals, alerts, or financial advice. All calculations are proprietary and protected to maintain GammaBulldog research integrity.
Beast Mode - Flux OscillatorBeast Mode – Flux Oscillator (BM-FLUX) is a momentum + volatility-compression oscillator designed to help traders visualize (1) directional momentum shifts and (2) “pressure build-up” periods where volatility contracts and expansion risk increases. It combines a MACD-style momentum core with a Bollinger Bands vs. Keltner Channels squeeze filter, displayed in a clean oscillator pane (overlay=false).
---
What makes it useful/original:
1) You can switch the smoothing method between EMA and VWMA. When VWMA is enabled, the fast/slow averages are volume-weighted, which can help emphasize momentum moves that occur on higher participation.
2) It includes built-in volatility squeeze context by detecting when Bollinger Bands are inside Keltner Channels and marking those compression periods on the zero line, helping you interpret momentum signals differently during contraction vs. expansion regimes.
---
How it works (overview):
Momentum core:
- The script calculates a fast MA and slow MA from close (EMA or VWMA depending on the “Weight with Volume?” setting).
- The Fast Flux (MACD line) is: fast_ma − slow_ma
- The Slow Flux (signal line) is: EMA(macd_line, Signal Length)
- The Flux Histogram is: macd_line − signal_line
Squeeze detection:
- Bollinger Bands are calculated using BB Length and BB Mult.
- Keltner Channels are built using the same basis and a True Range average over KC Length scaled by KC Mult.
- A squeeze is active when the Bollinger Bands are fully inside the Keltner Channels.
---
How to read it:
Histogram colors (direction + acceleration):
- Bright green = above zero and rising (bullish momentum strengthening)
- Dark green = above zero but falling (bullish momentum weakening)
- Bright red = below zero and falling (bearish momentum strengthening)
- Dark red = below zero but rising (bearish momentum weakening)
Lines:
- Teal line = MACD line (Fast Flux)
- Orange line = Signal line (Slow Flux)
Squeeze dots:
- A white dot on the zero line indicates “Squeeze Active” (volatility compression).
---
Alerts:
- Flux Cross UP: MACD crosses above signal (momentum turns bullish)
- Flux Cross DOWN: MACD crosses below signal (momentum turns bearish)
- Squeeze Active: volatility compression detected (BB inside KC)
Alerts are informational conditions and do not guarantee outcomes.
---
Limitations / notes:
- This is an indicator (not a strategy) and does not provide backtest results.
- Like most momentum tools it can whipsaw in ranging markets.
- Squeeze conditions highlight volatility compression but do not predict direction by themselves.
- Always use proper risk management and confirm signals with your broader trading plan.
Auto Option Screener Pro Multi-Symbol Technical Dashboard# **Auto Option Screener Pro – Multi-Symbol Technical Dashboard**
**Real-time options screening with 15+ indicators, custom filters, and institutional-grade analytics**
***
## 📊 **What This Indicator Does**
**Auto Option Screener Pro** is a comprehensive **multi-symbol technical analysis dashboard** designed specifically for **NSE options traders**. It simultaneously monitors **30 symbols** (calls/puts) and displays real-time data for **15+ professional indicators** in a sortable, filterable table format.
Instead of flipping between charts, you get **instant visibility** across your entire watchlist: momentum, trend strength, volatility, volume analysis, and gap detection—all in one screen.
***
## 🎯 **Key Features**
### **Multi-Symbol Monitoring**
- Track **30 symbols simultaneously** (calls + puts)
- Toggle symbols on/off with checkboxes
- Optimized for **NSE options** (but works with any symbol)
- Lightweight code using matrix operations for speed
### **15+ Built-In Indicators**
- **RSI** (Relative Strength Index) – Overbought/oversold detection
- **TSI** (True Strength Index) – Double-smoothed momentum
- **ADX** (Average Directional Index) – Trend strength measurement
- **SuperTrend** – Trend-following with ATR-based stops
- **MACD** – Crossover and momentum signals
- **CMF** (Chaikin Money Flow) – Institutional money flow tracker
- **OBV** (On-Balance Volume) – Volume-price relationship
- **BB Power** (Bull/Bear Power) – Elder Ray indicator
- **Choppiness Index** – Trend vs. chop detection
- **∆VWAP** – Deviation from VWAP (value/trading)
- **Relative Volume** – Surge detection vs. average
- **RDX Score** – Custom ADX+RSI combo score (-5 to +5)
- **ATR Volatility** – Volatility ranking (Low/Medium/High)
- **Gap Detection** – Gap Up/Down with percentage
- **Price Change** – Real-time premium movement
### **Smart Filtering System**
- Filter any column by **custom range** (e.g., RSI 30-70, ADX > 25)
- **Column-specific thresholds** for each indicator
- **Toggle filters on/off** with one click
- Example: Show only options where RSI < 35 AND ADX > 30
### **Visual Intelligence**
- **Color-coded cells**: Green (bullish), Red (bearish), Gray (neutral)
- **ATR Volatility labels**: Lo/Md/Hi with color coding
- **Gap detection**: UP/DN/NO with directional colors
- **RDX Score**: -5 to +5 visual scoring system
- **Compact dashboard**: 18 columns × 40 rows maximum
### **Customizable Dashboard**
- **9 position options**: Top/Bottom/Middle + Left/Center/Right
- **Adjustable font sizes**: Small, Normal, Large, Huge
- **Theme-aware**: Works on dark/light TradingView themes
- **Auto-clearing**: Refreshes every bar for accuracy
---
## ⚙️ **How to Set Up**
### **Step 1: Add Your Symbols**
1. Click **Settings** (gear icon) on the indicator
2. Scroll to **Symbols** section
3. **Enable/disable symbols** using checkboxes (u01-u30)
4. **Replace default symbols** with your preferred options:
- Format: `NSE:SYMBOLYYMMDDCPRICE`
- Example: `NSE:NIFTY251230C25900`
### **Step 2: Configure Filters (Optional)**
1. Go to **Filter** section
2. **Enable filter** by checking "Filter" box
3. Select **Column** to filter (Price, RSI, TSI, ADX, SuperTrend, etc.)
4. Set **From** and **To** values
5. Only symbols meeting criteria will display
### **Step 3: Adjust Indicator Settings**
- **RSI Length**: Default 14 (overbought 65, oversold 35)
- **TSI Lengths**: Long 25, Short 13 (thresholds ±25)
- **ADX Smoothing**: Default 14 (threshold 30)
- **SuperTrend**: ATR 10, Factor 3.0
- **CMF**: Length 20 (thresholds ±0.3)
- **Choppiness**: Period 14 (trending <38.2, choppy >61.8)
- **RDX ADX**: Length 14, Threshold 14
- **ATR Volatility**: Period 14 (High >1.5%, Medium >1.0%)
### **Step 4: Position Dashboard**
- Choose **Dashboard Position** from dropdown
- Recommended: **Top right** or **Top left** for minimal chart overlap
- Adjust **font size** for readability
### **Step 5: Set Alerts (Optional)**
- Create alerts for individual symbols
- Use **combined conditions** from the dashboard
- Example: Alert when RDX Score = 5 AND ADX > 30
***
## 📈 **Indicator Guide**
### **Column Explanations**
| Column | What It Shows | How to Read |
|--------|---------------|-------------|
| **NnSexOpt** | Symbol name | Gray background |
| **Price** | Current premium | Always shown |
| **RSI** | Momentum (0-100) | >65 green (OB), <35 red (OS) |
| **TSI** | True strength | >25 red (OB), <-25 green (OS) |
| **ADX** | Trend strength | >30 green (strong trend) |
| **Sptrd** | SuperTrend | "Up" green, "Down" red |
| **MACD** | MACD trend | 1=uptrend green, -1=downtrend red |
| **CMF** | Money flow | >0.3 green, <-0.3 red |
| **OBV** | On-Balance Volume (Cr) | Positive/negative flow |
| **OHL** | Open=High/Low | "OH" red (bearish), "OL" green (bullish) |
| **BB+** | Bull Power | Positive green, negative red |
| **Chop** | Choppiness Index | <38.2 green (trending), >61.8 red (chop) |
| **∆VWAP** | VWAP deviation | Above green, below red |
| **RVol** | Relative volume | >1.5 green (surge) |
| **RDX** | ADX+RSI score | -5 to +5, color-coded |
| **ATR%** | Volatility % | Actual percentage value |
| **Vol** | Volatility label | Lo/Md/Hi with color |
| **Gap** | Gap type/size | UP/DN green/red + % |
***
## 🎨 **Color Coding**
- **Green Cells**: Bullish signals (overbought, uptrend, positive flow)
- **Red Cells**: Bearish signals (oversold, downtrend, negative flow)
- **Gray Cells**: Neutral or no signal
- **White Text**: All values for readability
- **Gray Header**: Row separators for scannability
---
## 🔧 **Advanced Usage Tips**
### **Finding High-Probability Setups**
1. **Bullish Combo**: RDX > 0 + ADX > 30 + ∆VWAP > 0 + CMF > 0.3
2. **Bearish Combo**: RDX < 0 + ADX > 30 + ∆VWAP < 0 + CMF < -0.3
3. **Momentum Surge**: RSI crossing 50 + RVol > 1.5 + ATR Volatility = Hi
4. **Trend Confirmation**: ADX > 30 + Chop < 38.2 + SuperTrend = Up
### **Avoiding False Signals**
- **Choppy Markets**: Skip when Chop > 61.8
- **Low Volume**: Ignore if RVol < 1.0
- **Weak Trend**: ADX < 20 = no trend, avoid directional trades
### **Options-Specific Strategies**
- **Premium Buyers**: Look for low RVol + RDX turning positive
- **Premium Sellers**: Target high RVol + Chop > 61.8 (rangebound)
- **Expiry Day**: Focus on Gap column + ∆VWAP for mean reversion
---
## ⚡ **Performance Notes**
- **Optimized for 30 symbols**: Uses matrix operations for speed
- **Updates on bar close**: Minimal repainting
- **Works on any timeframe**: 1m to 1D
- **NSE options tested**: Compatible with Indian options format
- **RAM usage**: ~50MB for 30 symbols on 1m chart
---
## 🎯 **Supported Instruments**
**Primary Use Case:**
- **NSE Options**: NIFTY, BANKNIFTY, FINNIFTY, MIDCPNIFTY, stock options
**Also Works With:**
- **Equity cash**: NSE, BSE stocks
- **Futures**: NIFTY, BANKNIFTY futures
- **Global instruments**: Any TradingView-supported symbol
***
## ⚠️ **Disclaimer & Risk Warning**
**IMPORTANT**: This indicator is for **educational and informational purposes only**.
- Options trading involves **substantial risk of loss**
- Past performance does not guarantee future results
- **Test thoroughly** on paper trading before live use
- Verify **liquidity and spreads** before trading
- **No signals are guaranteed**—use with proper risk management
- Creator is **not responsible** for any trading losses
**Always consult a financial advisor** before making trading decisions.
***
## 📝 **Version History**
**v1.0 (Current)**
- Initial release
- 30-symbol multi-screener
- 15+ indicators integration
- Custom filter system
- Gap detection
- ATR volatility labeling
- RDX scoring system
***
## 💬 **Feedback & Support**
Found this screener helpful? Please:
- ⭐ **Leave a rating** on TradingView
- 💬 **Share your strategies** in comments
- 📊 **Post chart ideas** using this indicator
- 🔔 **Follow for updates**
**Questions?** Drop a comment below—I'll help you optimize your settings!
***
**Tags**: Options Screener, NSE Options, Multi-Symbol, Technical Analysis, RSI, ADX, SuperTrend, MACD, CMF, VWAP, Volatility, Gap Detection, RDX Score, Intraday Trading, Options Trading
***
**Legal**: This tool does not constitute financial advice. All trading decisions are your responsibility. Always use risk capital you can afford to lose.
Gamma Conviction OscillatorGamma Conviction Oscillator
OVERVIEW
The Gamma Conviction Oscillator is a specialized momentum study that integrates volume-weighted price change with a dynamic volatility-adjustment engine. Unlike traditional oscillators, it scales its sensitivity based on current market ATR, allowing the tool to stay responsive during low-volatility drifts and stabilize during high-volatility expansions.
THE MATH BEHIND THE "CONVICTION"
Volatility-Adjusted Sensitivity: The script utilizes a normalized ATR ratio to calculate a 'Dynamic Adjustment Factor.' This ensures that overbought/oversold thresholds are not static but react to the current market regime.
Volume-Weighted Basis: Momentum is calculated using the product of price-change and volume, ensuring that "Conviction" is only displayed when there is actual participation behind the move.
Trend-Alignment Filter: The coloring engine uses a long-term moving average anchor to determine the 'Context.' Conviction is categorized as 'Trend-Aligned' or 'Counter-Trend' based on the price relation to this long-term anchor.
HOW TO USE
Observe the Oscillator Color:
Bright Lime / Bright Red: High-momentum extremes aligned with the long-term trend. Indicates areas where price movement has strong participation and trend confirmation.
Teal / Maroon: Counter-trend momentum extremes, highlighting potential areas for trend testing or mean-reversion.
Assess Overbought and Oversold Zones:
The dynamic overbought (OB) and oversold (OS) levels adjust based on current market volatility. Readings outside these zones indicate stronger-than-normal conviction.
Consider Trend Context:
Compare the oscillator reading to the long-term trend (based on the selected moving average). Alignment with the trend reinforces trend strength; divergence may indicate temporary pullbacks or consolidation.
Adjust Inputs for Your Trading Timeframe:
Base Oscillator Length: Shorter values make the oscillator more responsive to intraday momentum; longer values smooth for swing analysis.
Volatility Smoothing Length: Controls sensitivity to ATR fluctuations; higher values reduce noise in volatile markets.
Dynamic Sensitivity Factor: Fine-tunes how strongly volatility influences the oscillator scale.
Use as an Educational Guide:
This tool is a visualization of historical and current momentum. Use it to study how momentum builds, fades, or reverses. It does not generate trade signals and is for educational and informational purposes only.
NOTES
All calculations are proprietary and protected to preserve the underlying logic. This script is intended purely as an educational visualization tool.
MacroTide Elasticity SystemThe MacroTide Elasticity System is a professional-grade technical analysis tool designed to identify potential trend exhaustions and reversals by modeling price action as an elastic band stretched from a volume-weighted baseline. Unlike standard oscillators (like RSI) that only look at price changes, MacroTide integrates Volume, Price Range, and Volatility to gauge the "energy" behind a move.
1. Concepts and Methodology
The core concept is Mean Reversion based on Volume-Weighted Elasticity. Markets tend to snap back to a value consensus (mean) after over-extension.
Volume-Weighted Baseline: We use a Volume Weighted Moving Average (VWMA) rather than a simple SMA. This ensures that heavy-volume trading days pull the baseline closer to price, while low-volume drift allows the baseline to lag, accurately representing the "true" average cost.
Elasticity Physics: The oscillator calculates how far price has deviated from this VWMA baseline, measured in standard deviations. This creates a normalized "Elasticity Score" (0-100).
High Score (>80): Price is over-extended to the upside (Overbought) relative to volume support.
Low Score (<20): Price is over-extended to the downside (Oversold).
Institutional Absorption (Churn): The script detects specific bar anomalies where Volume is High but Price Range is Low. This pattern often indicates "Churn"—where institutions are absorbing supply or unloading positions without moving the price significantly.
2. Key Features
MacroTrend Detection: Visualizes the market's stretch limits.
Divergence Scanner: Automatically detects and labels Regular Bullish and Bearish divergences. This occurs when price makes a new extreme, but the Elasticity Oscillator fails to confirm it, signaling waning momentum.
Absorption Events: Highlights yellow "sun" markers on the oscillator when high-volume churn is detected, often preceding a breakout or reversal.
Dynamic Coloring: Candles and oscillator lines change color based on the slope of the elasticity (Green for rising momentum, Red for falling).
3. How to Use
Trend Reversals: Look for the oscillator to enter the Overbought (80) or Oversold (20) zones. A reversal signal (triangle marker) is generated when the oscillator crosses back out of these zones, indicating the "snap back" effect has begun.
Divergence Confirmation: Use the "DIV" labels as early warning signs. A Bullish Divergence in an oversold zone is a high-probability setup for a long entry.
Filtering Trends: The center line (50) acts as a trend filter. Above 50 indicates bullish bias; below 50 indicates bearish bias.
4. Settings & Customisation
Lookback Period: Default is 21 (Swing). Increase to 50 or 100 for Macro/Long-term analysis.
StdDev Multiplier: Adjusts the sensitivity of the bands. Higher values (e.g., 2.5 or 3.0) are better for volatile assets like Crypto.
Absorption Volume Factor: Threshold for detecting churn. Default is 1.5x average volume.
Disclaimer: This tool is for informational purposes only. Past performance (divergences/signals) does not guarantee future results. Always manage risk effectively.
Valuation Multi-Asset [MTF]Description This indicator is a specialized Intermarket Analysis tool designed to determine the relative valuation of an asset by comparing its performance against key global benchmarks (Currency, Commodities, Bonds, and Sector ETFs).
Unlike standard oscillators (like RSI) that only look at the asset's own price, this script calculates a Relative Value Index.
Underlying Concepts & Methodology The script operates on the principle of asset correlation and mean reversion ratios. The calculation logic follows these steps:
Ratio Calculation: It computes the price ratio between the Chart Asset and a Benchmark Asset (e.g., Symbol / DXY).
Smoothing: It applies a double smoothing method using Exponential Moving Averages (EMAs) to filter out short-term noise from the ratio.
Historical Normalization: Based on valuation theories (inspired by concepts like Larry Williams' valuation window), the script normalizes the smoothed ratio over a user-defined lookback period (default is 3 years/156 weeks). This ranks the current relative value between 0 and 100.
Key Features
Multi-Benchmark Comparison: Automatically compares the asset against the Dollar Index (DXY), Gold (GC1!), Bonds (ZB1!), and Sector ETFs.
MTF Dashboard: Includes a Multi-Timeframe table to see valuation status across Daily, Weekly, and Monthly views simultaneously.
ETF Reference: A built-in reference table to help you quickly find the correct Sector ETF for stock correlation.
How to Use
Undervalued Zone (< 15): When the line turns Green (or enters the bottom zone), the asset is historically cheap relative to the benchmark. This often indicates a potential accumulation or reversal point.
Overvalued Zone (> 85): When the line turns Red (or enters the top zone), the asset is historically expensive relative to the benchmark, suggesting potential distribution.
Divergences: Watch for divergences between the asset price and the Valuation Index (e.g., Price makes a new high, but the Valuation Index against Gold makes a lower high).
Settings
You can toggle individual benchmark lines (Asset 1 to 4).
Adjust the "Lookback Period" to change the historical normalization window.
Customize the Overbought/Oversold thresholds.
To comply with House Rules regarding non-English UI, here is the translation of the script's settings menu:
1. Seleção de Ativos (Asset Selection)
Usar Timeframe Personalizado = Use Custom Timeframe
Mostrar Ativo = Show Asset
Símbolo = Symbol
2. Tabela de Referência de ETFs (ETF Reference Table)
Posição da Tabela = Table Position
Categoria = Category (Sectors, Metals, Energy, Grains, Softs, Livestock)
3. Parâmetros do Índice (Index Parameters)
Comprimento EMA = EMA Length
Comprimento R do VIndex = VIndex Lookback Period
4. Níveis de Valuation (Valuation Levels)
Sobrevaloração = Overvaluation
Subvaloração = Undervaluation
Nível Neutro = Neutral Level
5. Configurações de Tabela (Table Settings)
Tamanho do Texto = Text Size
Tema = Theme (Dark/Light)
Usar Cores Personalizadas = Use Custom Colors
Mostrar Setas de Momentum = Show Momentum Arrows
6. Análise Multi-Timeframe (MTF Analysis)
Mostrar Colunas = Show Columns
Descrição Este indicador é uma ferramenta de Análise Intermercado projetada para determinar o "Valuation" (valor relativo) de um ativo comparando seu desempenho com benchmarks globais (Dólar, Ouro, Títulos e ETFs Setoriais).
Conceitos e Metodologia O script opera com base no princípio de correlação de ativos e reversão à média de ratios. A lógica de cálculo:
Cálculo da Razão: Calcula a divisão de preço entre o Ativo do Gráfico e o Benchmark (ex: Ativo / DXY).
Suavização: Aplica Médias Móveis Exponenciais (EMAs) para filtrar o ruído.
Normalização Histórica: Baseado em teorias de valuation (inspirado no método de "Valuation Index" de Larry Williams), o script normaliza esse ratio dentro de uma janela histórica (padrão de 3 anos/156 semanas), classificando o valor atual entre 0 e 100.
Como Usar
Zona Subvalorizada (< 15): Quando a linha fica Verde, o ativo está historicamente barato em relação ao benchmark.
Zona Sobrevalorizada (> 85): Quando a linha fica Vermelha, o ativo está historicamente caro em relação ao benchmark.
BTC - BEAM: Adaptive Multiple (Open-Source)Title: BTC - BEAM: Adaptive Multiple Cycle Oscillator | RM
Overview & Philosophy
The BTC - BEAM (Bitcoin Economics Adaptive Multiple) is a premier macro-valuation tool designed to identify the "Logarithmic Pulse" of Bitcoin's 4-year cycles. Unlike standard oscillators that lose relevance as the network grows, BEAM uses an adaptive baseline that tracks Bitcoin’s fundamental growth curve with precision.
It identifies the harmonic distance between the current price and its multi-year mean, helping you spot the rare windows of deep capitulation and terminal euphoria.
Methodology
This edition is a hardened, gap-proof and Open-Source implementation of the canonical BEAM model.
1. The 1400-Day Anchor (200 Weeks):
The model is anchored to a 1400-day Simple Moving Average. On the Weekly chart, this aligns with the legendary 200-week moving average—the historical "floor" of the Bitcoin network. It represents one full halving cycle of data.
2. Daily-Lock Architecture:
Even when viewed on the 1W chart, the script performs its calculations using Daily data. This ensures that the oscillator captures the exact peak day of a cycle, providing a "high-resolution" signal within a "low-noise" weekly environment.
3. Logarithmic Normalization:
We calculate the natural logarithm of the price-to-mean relationship, scaled by a factor of 2.5: Score = ln(Price / 1400d MA) / 2.5 This creates a standardized "Multiple" that remains comparable across all Bitcoin eras.
How to Read the Chart (1W Context)
🟧 The BEAM Line (Orange): Tracks the "macro heat" of the market. On the 1W chart, look for the slope of this line to identify cycle acceleration.
🔴 The Cycle Ceiling (Score > 1.0): Historical Cycle Tops. When the weekly candle sustains in this zone, the market has reached a state of unsustainable mania. Every major blow-off top has been captured in this red corridor.
🟢 The Cycle Floor (Score < 0.1): Generational Accumulation. On the 1W chart, these zones appear as extended "green troughs." These are the only times in history where Bitcoin is fundamentally "too cheap" relative to its 4-year trend.
The Status Dashboard
The bottom-right monitor provides immediate cycle classification:
• BEAM Score: The exact logarithmic multiple.
• Cycle Regime: ACCUMULATION , NEUTRAL , or OVERHEATED .
Credits
BitcoinEcon: For the original concept of the BEAM adaptive model.
⚠️ RECOMMENDATION: While this indicator captures daily data, it is strongly recommended to be viewed on the Weekly (1W) Timeframe. The 1W chart filters market noise and perfectly reveals the long-term "Cycle Narrative."
Disclaimer
This script is for research and educational purposes only. Macro indicators provide structural context; they are not crystal balls. Always manage your risk according to your personal financial plan.
Tags
bitcoin, btc, beam, macro, cycle, halving, log-growth, valuation, on-chain, Rob Maths
ITCP ATR BB RSI Stoch SignalsThis indicator generates BUY/SELL signals when price stretches outside Bollinger Bands during elevated volatility, confirmed by RSI, a Stochastic crossover, and a volume filter. To reduce counter-trend entries, it applies a macro trend filter using the Daily SMA 200: it looks for longs only above the SMA 200 and shorts only below it.
It tends to perform best in Forex, especially on liquid pairs, because market conditions (liquidity, continuous sessions, and relatively stable spreads on major pairs) often suit this confirmation-based approach. That said, it can be adapted to other markets (indices, commodities, or crypto) by tuning parameters such as Bollinger length/deviation, RSI/Stoch thresholds, and ATR settings (multipliers/factors) to fit the asset’s volatility.
It also plots ATR-based stop-loss reference levels (configurable smoothing) and includes webhook-ready alerts with a JSON payload (action, symbol, price, stop_loss, time, and interval) for external automation. The goal is to support rules-based execution and reduce impulsive trades: if conditions don’t align, there’s no signal.
If you manage to improve it, discover better settings, or build a more robust solution inspired by this, I’d really appreciate it if you share it back (even if it’s just feedback or an idea). I’m open to collaborating and iterating together to create stronger versions over time.
Composite Fear & Greed IndexComposite Fear & Greed Index
This is an advanced, professional-grade sentiment analysis engine designed to quantify market psychology. Unlike standard oscillators that rely on a single metric, this script uses a weighted composite of four distinct technical components to generate a holistic "Fear & Greed" score.
It includes Multi-Timeframe (MTF) capabilities, proprietary FOMO/Panic detection logic, and Zero-Lag trend analysis.
1. Unique Mathematical Methodology
This script is not a simple overlay of existing indicators. It uses a Composite Normalization Engine to blend four distinct metrics into a single, bounded 0-100 oscillator.
The "Mashup" Problem Solved: Standard indicators like MACD are "unbounded" (they can go to infinity), while RSI is "bounded" (0-100). You cannot simply average them.
Our Solution: This script calculates the Z-Score of the MACD histogram relative to its historical deviation and normalizes it into a 0-100 percentile. This allows for a mathematically valid combination with RSI and Bollinger Bands.
The Component Logic:
Momentum (RSI): (Weight: 30%) Pure price velocity.
Volatility (Bollinger %B): (Weight: 25%) Relative position within volatility bands.
Trend Strength (Normalized MACD): (Weight: 25%) Uses the custom Z-Score logic described above.
Trend Integrity (ZLEMA): (Weight: 20%) We replaced the standard SMA with a custom Zero-Lag Exponential Moving Average (ZLEMA) algorithm. This removes the "lag" associated with traditional sentiment analysis, allowing the index to react to crypto volatility in real-time.
The Calculation: These raw values are weighted and smoothed to produce the final Index Value.
Greater than 80: Extreme Greed (High risk of reversal)
Less than 20: Extreme Fear (Potential accumulation zone)
2. Unique Features
A. FOMO & Panic Event Detection The script does not just track price; it tracks behavior.
FOMO (Fear Of Missing Out): Triggered when Price breaks the Upper Bollinger Band + RSI is Overbought + Volume spikes > 2.5x the average. This often marks local tops.
PANIC: Triggered when Price drops significantly in one bar + Volume spikes > 3.0x the average + RSI is Oversold. This often marks capitulation bottoms.
B. Divergence Detection The script automatically detects and plots Regular Bullish and Bearish divergences between Price and the Sentiment Index.
Bullish Divergence: Price makes a Lower Low, but Sentiment makes a Higher Low (indicating waning selling pressure).
Bearish Divergence: Price makes a Higher High, but Sentiment makes a Lower High (indicating waning buying pressure). Note: The script plots these signals precisely on the indicator line corresponding to the pivot point.
C. Multi-Timeframe (MTF) Engine Users can view the "Daily" sentiment score while trading on a 5-minute or 15-minute chart. This allows scalpers to align their trades with the higher-timeframe market psychology.
3. Usage Guide
Step 1: Trend Alignment Look at the dashboard or the main line color. Green indicates Greed/Uptrend, Red indicates Fear/Downtrend.
Step 2: Extremes
Sell/Take Profit: When the Index crosses 80 (Extreme Greed) or a "FOMO" triangle appears.
Buy/Long: When the Index crosses 20 (Extreme Fear) or a "PANIC" triangle appears.
Step 3: Confirmation Use the Divergence Dots as confirmation. A "Panic" signal followed by a "Bullish Divergence" dot is a high-probability reversal setup.
Settings
Timeframe: Select the MTF resolution (default is Chart).
Weights: You can adjust the influence of RSI, MACD, BB, or Trend to fit your specific asset class.
Visuals: Fully customizable colors, table position, and toggle switches for shapes/backgrounds.
Disclaimer: This script is for informational purposes only and does not constitute financial advice.
Scanner Pro MTF v9.3Manual Script Trading Scanner Pro MTF v9.3
How to Interpret Your New Tool
• Total Alignment (The Holy Grail): When you see the chart turn green (LONG) from 15m to D1, it's a high-probability signal that the cycle's bottom has been confirmed.
• Inside Bars (Yellow Dots): When they appear near a support level, they indicate indecision. If the next candle breaks upwards with high volume ('V' on the chart), it's your entry confirmation.
Here's an explanation of the symbols:
1. The Fuchsia Diamond (The "Little Squares")
This symbol represents a Squeeze (Volatility Compression).
• What it means: It appears when the Bollinger Bands move inside the Keltner Channels.
• Interpretation: It indicates that the market is in a period of extreme calm or accumulation. Historically, after a "Squeeze," an explosive price movement occurs.
• Use in your Roadmap: If Bitcoin reaches $59,000 and these fuchsia diamonds start appearing, get ready: the market is building energy for the next big surge.
2. The White "V" (Unusual Volume)
This signal appears at the top of the chart when there is a spike in volume.
• What it means: It is activated when the volume of the current candle is 50% higher than the average of the last 20 candles (volume > ta.sma(volume, 20) * 1.5).
• Interpretation: It confirms the intention. A breakout from support or resistance with a "V" is much more reliable than one without volume.
• Use in your Roadmap: If you see a strong green candle bouncing off a support level with a "V" above it, it's a sign that institutions ("Smart Money") are buying.
3. The Yellow Circle (Inside Bar)
This symbol appears above candles that are "trapped" within the range of the previous candle.
• What it means: The high of the candle is lower than the previous one, and its low is higher than the previous one.
• Interpretation: It is a sign of pause and indecision. The market is compressing the price into a narrow range.
• Strategy: Often, the price breaks out strongly after an Inside Bar. It's like a spring being compressed.
________________________________________
Trading Summary:
• Ideal Buy Signal: Price near support + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bullish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to LONG (Green).
• Ideal Sell Signal: Price near resistance + Fuchsia Diamond (Squeeze) + Yellow Circle (Inside Bar) + Bearish breakout with a "V" (Volume).
• Confirmation: All of the above occurs while the chart in row D1 or H4 changes to SHORT (Red).
CandelaCharts - Composite Pressure Index 📝 Overview
The CandelaCharts – Composite Pressure Index (CPI) is a multi-factor oscillator that blends RSI , Money Flow Index (MFI) , and Chaikin Money Flow (CMF) into a single, stretchable “pressure” line. Instead of looking at three separate indicators, CPI compresses price momentum and volume flow into one normalized curve around 0 , then amplifies extremes using a rolling z-score .
The result is a dynamic gauge of buying vs. selling pressure that can travel beyond ±1 during strong regime shifts, helping you spot exhaustion, climaxes, and trend-strength phases more intuitively.
📦 Features
Composite pressure engine – Combines RSI, MFI, and CMF into a single normalized oscillator around 0, giving you a unified view of market pressure.
Custom weighting of components – Independently weight RSI, MFI, and CMF to prioritize pure price momentum or volume-driven signals.
Rolling z-score stretch – Uses a configurable z-score window to “stretch” the composite values, letting the line exceed ±1 during extremes instead of staying capped.
Adaptive amplitude control – An amplitude (gain) factor lets you scale how aggressive or subtle the CPI swings appear.
EMA smoothing – Optional smoothing removes noise while preserving the timing of swings and reversals.
Visual pressure band – Zero, +1, and -1 reference lines with a shaded band make it easy to see when pressure is “normal” vs. extended.
Dynamic color gradients – Warm/orange tones above 0 for bullish pressure and cool/blue tones below 0 for bearish pressure, with saturation increasing as pressure intensifies.
NA-safe statistics – Custom mean and standard deviation routines ensure stable behavior from the start of the chart and during partial history.
⚙️ Settings
RSI Length : Lookback length for RSI . Higher values smooth the RSI component; lower values make it more reactive to short-term price momentum.
MFI Length : Lookback length for the manual Money Flow Index . Adjust this to control how sensitive CPI is to price–volume interaction.
CMF Length : Lookback length for Chaikin Money Flow . This defines the window used to assess accumulation/distribution through volume flow.
RSI Weight : Relative importance of RSI within the composite. Increasing this emphasizes pure price momentum in the CPI.
MFI Weight : Relative importance of MFI. Higher values strengthen the influence of volume-weighted price moves.
CMF Weight : Relative importance of CMF. Raising this highlights accumulation/distribution as a driver of the pressure index.
Smoothing : EMA length applied to the stretched CPI line. A value of 1 effectively disables smoothing, while higher values reduce noise at the cost of a slight lag.
Z-score Window : Rolling window used to compute the mean and standard deviation of the raw composite. This defines the statistical context for what counts as “extreme”. Shorter windows adapt faster; longer windows give a more stable regime.
Amplitude : Gain factor applied to the z-scored composite. Values above 1.0 exaggerate swings and make extremes more visually pronounced; values below 1.0 compress them.
⚡️ Showcase
Composite Pressure Index
Mean Line
Divergences
📒 Usage
1. Identify directional pressure regimes
Use 0 as the key balance line:
CPI > 0 → Net bullish pressure (buyers in control).
CPI < 0 → Net bearish pressure (sellers in control).
You can treat prolonged stays above or below 0 as confirmations of trend direction, especially when price structure agrees.
2. Read statistical extremes instead of fixed levels
Because CPI is stretched via a z-score , values beyond ±1 typically represent statistically meaningful extremes within your chosen window:
CPI > +1 → Overextended bullish pressure / potential euphoria.
CPI < -1 → Overextended bearish pressure / potential capitulation.
These zones are not automatic reversal signals, but they highlight areas where monitoring for exhaustion, blow-offs, or risk-reward shifts can be beneficial.
3. Spot divergences with price
Classic divergence logic applies particularly well when pressure is composite:
Bearish divergence – Price makes higher highs, but CPI makes lower highs or fails to confirm.
Bullish divergence – Price makes lower lows, but CPI makes higher lows or shows less downside extension.
These patterns can be integrated with support/resistance, liquidity levels, and other CandelaCharts tools.
4. Tune the weights to your strategy
Adjust the three weights to match your focus:
Higher RSI weight → More sensitivity to pure price momentum (good for breakout or trend-following systems).
Higher MFI weight → Greater emphasis on price–volume interaction (ideal for spotting volume-confirmed moves).
Higher CMF weight → Stronger focus on accumulation/distribution (helpful for swing and position traders).
5. Integrate with existing setups
The CPI is designed to sit comfortably below price:
Use it as a “context” oscillator underneath your main price-action and liquidity models.
Combine CPI extremes and divergences with key levels, range models, or order flow signals for higher-confluence entries.
🚨 Alerts
The indicator does not provide any alerts!
⚠️ Disclaimer
Trading involves significant risk, and many participants may incur losses. The content on this site is not intended as financial advice and should not be interpreted as such. Decisions to buy, sell, hold, or trade securities, commodities, or other financial instruments carry inherent risks and are best made with guidance from qualified financial professionals. Past performance is not indicative of future results.
Session Volume Profile - Asia London NYSession Volume Profile – Asia, London, NY
Description
OVERVIEW
Session Volume Profile is a technical analysis indicator designed to visualize how volume is distributed during the three primary global trading sessions: Asia, London, and New York. The script separates intraday volume data into time-defined sessions to help traders observe where trading activity concentrated and how value areas evolve as liquidity transitions between regions.
This indicator is intended for market structure and contextual analysis, not signal generation.
TECHNICAL OUTPUT
For each enabled session, the indicator calculates and displays:
Point of Control (POC)
The price level with the highest traded volume during the session.
Value Area High / Low (VAH / VAL)
The price range containing a user-defined percentage of total session volume (commonly 70%).
Session Volume Histogram
A horizontal volume-at-price visualization showing relative participation across price levels, highlighting high- and low-volume areas.
CALCULATION FRAMEWORK
Session Segmentation
Sessions are identified using exchange-based time boundaries. Each session is processed independently to prevent overlap and ensure clean separation of volume data.
Volume Binning
Intraday volume is allocated into discrete price buckets using an array-based structure. The resolution of these buckets is controlled by the Histogram Density input.
Value Area Expansion
The script identifies the session’s POC and expands outward in both directions until the selected percentage of total volume is reached, defining the Value Area High and Low.
HOW TO USE
Session Context
Observe how price reacts to prior-session POC and value areas when a new session begins.
Customization Controls
Individual sessions can be enabled or disabled, and visual opacity can be adjusted to maintain clarity on lower timeframes.
Session Awareness
An optional countdown timer displays remaining session time to help traders stay aware of upcoming liquidity transitions.
DESIGN NOTES
This indicator visualizes historical volume distribution only. It does not identify specific participants or predict future price behavior. All calculations are derived exclusively from price and volume data available on the chart.
DISCLAIMER
This script is provided for educational and analytical purposes only. It does not generate trade signals, alerts, or financial advice. Historical volume distributions do not guarantee future market behavior.
Dark Pool Pulse - Volume Pressure OscillatorDark Pool Pulse – Volume Pressure Oscillator
Description
OVERVIEW
Dark Pool Pulse is a protected technical analysis oscillator designed to visualize changes in directional volume pressure over time. The indicator transforms cumulative buying and selling activity into a normalized oscillator to help traders contextualize periods of relative market stability versus expansion.
The script is intended as a market condition visualization tool, not a signal generator.
CORE CONCEPT
The indicator evaluates the balance between buying and selling volume by tracking cumulative directional pressure. This pressure is used as a proxy for broader liquidity behavior, allowing traders to assess whether price action is occurring in a relatively stable environment or during periods of accelerating participation.
Rather than focusing on individual candles, the oscillator emphasizes persistence of volume imbalance across a rolling window.
CALCULATION FRAMEWORK
Directional Volume Pressure
The script measures the difference between buying and selling volume on each bar and accumulates this value over time to form a Net Pressure series.
Normalization Process
To make pressure comparable across symbols and timeframes, the cumulative series is normalized using a dynamic lookback window. This process scales the output to a bounded range between 0 and 100.
Oscillator Construction
The normalized pressure value is plotted as a single oscillator, allowing traders to observe shifts in participation intensity rather than raw volume magnitude.
INTERPRETING THE OSCILLATOR
60–100: Relative Stability
Indicates sustained volume balance and slower pressure changes, often associated with consolidation or mean-reverting conditions.
0–40: Relative Expansion
Indicates persistent directional pressure, often associated with momentum-driven or higher-volatility environments.
These zones are contextual references, not predictive thresholds.
DESIGN INTENT & LIMITATIONS
Dark Pool Pulse does not identify specific participants, venues, or transactions. It does not measure actual dark pool activity and should not be interpreted as such. All calculations are derived solely from publicly available price and volume data.
The script does not generate trade signals, alerts, or execution guidance.
SOURCE & DISCLAIMER
Published as a protected script to preserve the specific normalization techniques used in the pressure calculations.
This indicator is provided for educational and analytical purposes only and should be used alongside other forms of technical analysis.
Volatility State Index [Interakktive]The Volatility State Index (VSI) classifies market volatility into three behavioral states: Expansion, Decay, and Transition. It answers one question visually: Is volatility supporting price movement, withdrawing, or unstable?
Unlike traditional volatility indicators that show levels or bands, VSI diagnoses the current volatility regime so traders can adapt their approach accordingly.
█ WHAT IT DOES
• Classifies volatility into three states: Expansion (teal), Decay (grey), Transition (amber)
• Measures volatility momentum as a percentage rate-of-change
• Applies stability filtering to detect unstable/choppy conditions
• Uses persistence logic to prevent state flickering
• Exports state data for use in alerts and strategies
█ WHAT IT DOES NOT DO
• NO buy/sell signals
• NO entry/exit recommendations
• NO alerts (v1 is diagnostic only)
• NO performance claims
This is a volatility diagnostic tool, not a trading system.
█ HOW IT WORKS
The VSI processes volatility through a five-stage pipeline:
STAGE 1 — Base Volatility
Calculates ATR as the foundation for volatility measurement.
STAGE 2 — Smoothing
Applies EMA smoothing to reduce noise in the volatility series.
STAGE 3 — Volatility Momentum
Computes the percentage rate-of-change of smoothed volatility:
Volatility Momentum (%) = ((Current ATR - Previous ATR) / Previous ATR) × 100
Positive values indicate expanding volatility; negative values indicate contracting volatility.
STAGE 4 — Stability Filter
Tracks how frequently volatility momentum changes direction. Frequent sign changes indicate unstable, choppy conditions.
Stability Score = 1 - (Average Flip Rate)
Low stability forces the Transition state regardless of momentum level.
STAGE 5 — State Classification
Combines momentum thresholds and stability to determine the final state:
• Expansion: Momentum ≥ +5% (default threshold)
• Decay: Momentum ≤ -5% (default threshold)
• Transition: Between thresholds OR low stability
A persistence filter requires states to hold for multiple bars before confirming, preventing visual noise.
█ INTERPRETATION
EXPANSION (Teal)
Volatility is increasing in a sustained way. Price moves are becoming larger.
What it suggests:
• Breakouts are more likely to follow through
• Stops may need wider placement
• Trend-following approaches tend to work better
• Mean-reversion weakens
DECAY (Grey)
Volatility is decreasing. Price is compressing into tighter ranges.
What it suggests:
• Breakouts are more likely to fail
• Ranges tend to hold
• Trend-following underperforms
• Mean-reversion strengthens
TRANSITION (Amber)
Volatility behavior is unclear or unstable. This is NOT neutral — it is uncertainty.
What it suggests:
• Mixed signals — one bar huge, next bar dead
• Higher whipsaw risk
• Reduced conviction in either direction
• Consider waiting for clarity
The key insight: Amber is a warning, not a middle ground. It appears when volatility cannot decide what it wants to do.
█ VISUAL DESIGN
The indicator uses a state-first histogram design:
• Histogram height shows volatility momentum percentage
• Histogram color shows the classified state
• Zero line provides visual anchor
• Optional momentum line for confirmation
• Optional background tint (default OFF for clean charts)
The visual hierarchy prioritizes instant state recognition. A trader should understand the volatility environment in under one second without reading numbers.
█ INPUTS
Core Settings
• ATR Length: Base volatility measurement period (default: 14)
• Smoothing Length: EMA smoothing applied to ATR (default: 10)
• Momentum Length: Rate-of-change lookback (default: 10)
State Classification
• Expansion Threshold (%): Momentum above this = Expansion (default: 5.0)
• Decay Threshold (%): Momentum below this = Decay (default: -5.0)
• Persistence Bars: Bars required to confirm state change (default: 3)
• Stability Lookback: Window for stability calculation (default: 20)
• Stability Threshold: Below this = forced Transition (default: 0.5)
Visual Settings
• Show State Histogram: Toggle main display (default: ON)
• Show Momentum Line: Thin confirmation line (default: OFF)
• Show Zero Line: Baseline reference (default: ON)
• Show Background Tint: Subtle state coloring (default: OFF)
█ DATA WINDOW EXPORTS
When enabled, the following values are exported:
• ATR (Raw)
• ATR (Smoothed)
• Volatility Momentum (%)
• Stability Score (0-1)
• State (-1/0/1): Decay = -1, Transition = 0, Expansion = 1
• Is Expansion (0/1)
• Is Decay (0/1)
• Is Transition (0/1)
These exports allow VSI to be used as a filter in Pine Script strategies or alert conditions.
█ ORIGINALITY
While ATR and volatility indicators are common, VSI is original because it:
1. Classifies volatility into behavioral states rather than showing raw levels
2. Applies momentum analysis to volatility itself (rate-of-change of ATR)
3. Uses stability filtering to detect genuinely unstable conditions
4. Implements persistence logic to prevent state flickering
5. Provides a state-first visual design optimized for instant recognition
VSI is state-first: it classifies volatility regimes (Expansion/Decay/Transition) rather than plotting volatility level alone, using momentum and stability to reduce false regime reads.
This is not a modified ATR or Bollinger Band — it is a volatility regime classifier.
█ SUITABLE MARKETS
Works on: Stocks, Futures, Forex, Crypto
Timeframes: All timeframes — state classification adapts accordingly
Best on: Instruments with consistent volatility patterns
█ RELATED
• Market Efficiency Ratio — measures price path efficiency
• Effort-Result Divergence — compares volume effort to price result
█ DISCLAIMER
This indicator is for educational purposes only. It does not constitute financial advice. Past performance does not guarantee future results. Always conduct your own analysis before making trading decisions.
JMA Cluster Entries with Market Structure [WavesUnchained]JMA Cluster Entries with Market Structure
Overview
JMA Cluster Entries with Market Structure combines multi-timeframe JMA (Jurik Moving Average) cluster analysis with advanced market structure detection (Wyckoff methodology, Smart Money Concepts) to identify high-probability momentum and structure-based entries. The indicator provides multi-layered signal validation for comprehensive market analysis.
Key Features
JMA Cluster Analysis
• 10 Adaptive Moving Averages (20, 50, 100, 150, 200, 250, 300, 400, 500, 600 periods)
• JMA technology provides smooth, responsive trend detection with minimal lag
• Cluster scoring system (0-100%) measures trend alignment strength
• Optional visualization - lines can be hidden for clean charts
Wyckoff Market Structure Detection
• Selling Climax (SC) : High-volume panic selling at support (bullish reversal)
• Spring : False breakdown below support with reversal (bullish continuation)
• Buying Climax (BC) : High-volume buying exhaustion at resistance (bearish reversal)
• Upthrust (UT) : False breakout above resistance with rejection (bearish continuation)
• Timeframe-optimized lookback periods : Automatically adjusts pivot detection window based on chart timeframe (15M/1H/4H/Daily/Weekly)
• Dual-mode pivots: Entry signals use live-ready detection; visualization can use historical-perfect mode for clean charts
Multi-Signal Entry Engine
Three independent signal classes with quality tiers:
1. MOMENTUM (M) : Cluster flip + slope confirmation + ATR filter
2. EXHAUSTION (E) : Mean reversion at statistical extremes + volume surge
3. STRUCTURE (S) : Wyckoff patterns + Smart Money confluence + absorption detection
Each signal includes quality rating (50-100%) and cooldown management to prevent overtrading.
Smart Money Concepts (Optional)
• Order Blocks (OB) : Last candle before strong impulsive moves
• Fair Value Gaps (FVG) : Price imbalances / liquidity voids
• Breaker Blocks : Failed order blocks that flip polarity
• Configurable lookback and visualization
Comprehensive Visualization
• Signal Labels : Color-coded entry markers (green/red) with quality indicators
• Pivot Markers : Optional swing high/low visualization with S/R boxes
• ZigZag Lines : Connect confirmed major pivots for structure clarity (visual reference only, not used for entry signals)
• Retest Signals : Alerts when price revisits key S/R levels
• Statistical Bands : Deviation zones for mean reversion trading
• Wyckoff Annotations : Event labels, S/R lines, trading range boxes, phase indicators
Note: Wyckoff entry signals use independent live-ready pivot detection for immediate confirmation, while ZigZag pivots provide delayed but precise swing structure for visual reference and post-trade analysis.
Advanced Configuration
• Trend Filters : Minimum slope, score jump, ATR distance filters
• Signal Cooldown : Prevent entry spam with configurable bar spacing
• Pivot Reset Options : Control cooldown behavior on new pivots
• Detection Profiles : Conservative / Balanced / Sensitive presets for Wyckoff
• Oscillator Filters : Optional RSI/WaveTrend confirmation for pivots
TradingView Alerts
• "Entry Long" : Fires on high-quality bullish entry signals (Trend mode)
• "Entry Short" : Fires on high-quality bearish entry signals (Trend mode)
• "Alert Long" : Early warning for potential bullish setups (pre-entry confirmation)
• "Alert Short" : Early warning for potential bearish setups (pre-entry confirmation)
• Compatible with alert automation and webhooks
Trading Modes
Trend Mode (Default)
• Combines all signal types for comprehensive trend following
• Entry signals: High-quality entries after confirmation
• Alert signals: Early warnings before full entry conditions met
• Includes Wyckoff structure detection and cluster alignment
Reversion Mode
• Mean reversion trading at statistical extremes
• Requires price at 2σ+ deviation bands
• Volume surge confirmation
• Return to mean zone triggers entries
Recommended Settings by Timeframe
15M - Intraday Scalping
• Pivot Lookback: 20 (5-10 hour window)
• Signal Cooldown: 10-20 bars
• Best for quick reversals and structure breaks
1H - Day Trading
• Pivot Lookback: 30 (1.25 day window)
• Signal Cooldown: 15-25 bars
• Highest volume quality (avg 2.3x RelVol)
4H - Swing Trading (Optimal)
• Pivot Lookback: 30 (5 day window)
• Signal Cooldown: 20-30 bars
• 6.2% event rate, proven performance
• Recommended for most traders
Daily - Position Trading
• Pivot Lookback: 10 (20 day window)
• Signal Cooldown: 5-10 bars
• Ultra-conservative, major structures only
How to Use
1. Enable JMA Lines initially to understand cluster behavior
2. Watch for Signal Labels : Green (Long), Red (Short)
3. Check Signal Quality : Labels show M/E/S class and 50-100% rating
4. Confirm with Wyckoff : SC/Spring for longs, BC/UT for shorts
5. Set TradingView Alerts : Use "Signal Long" and "Signal Short" alerts
6. Optional : Enable S/R boxes and pivot markers for structure context
Input Groups
• Basic Settings: Source, JMA phase/power, mode selection
• Logging: Enable CSV logs for backtesting analysis
• Cluster Scoring: Threshold and calculation settings
• Trend Filters: Slope, score jump, ATR, cooldown management
• Reversion Settings: Extreme/return thresholds, deviation bands
• Pivot Detection: Lookback, size filters, oscillator confirmation
• Wyckoff Settings: Profile selection, lookback per timeframe, visualization
• Smart Money: Order blocks, FVG, breaker block settings
• JMA Configuration: Enable/disable individual moving averages
Performance Notes
• 4H Timeframe : 145 Wyckoff events (6.16% rate), 78.7% win rate in backtests
• 1H Timeframe : 84 events (1.86% rate), 2.33x average RelVol
• 15M Timeframe : 83 events (1.87% rate), balanced event distribution
• Daily Timeframe : 7 events (1.54% rate), ultra-selective
Educational Value
This indicator demonstrates:
• Integration of classical Wyckoff methodology with modern technical analysis
• Multi-timeframe consensus building for signal validation
• Smart Money Concepts and institutional order flow analysis
• Statistical mean reversion combined with momentum/structure
• Modular code architecture for maintainability
Disclaimer
This indicator is for educational and informational purposes only. It does not constitute financial advice. Always practice proper risk management and test strategies thoroughly before live trading. Past performance does not guarantee future results.
Credits
• Jurik Moving Average (JMA) : Adapted from Everget's implementation
• Wyckoff Methodology : Based on Richard Wyckoff's market analysis principles
• Smart Money Concepts : Inspired by institutional trading concepts
• Developed by : WavesUnchained
---
Version : 2.1.0
Pine Script : v6
Compatibility : TradingView Free/Pro/Premium
Luis-Enrico Valuation ToolThe valuation tool evaluates the relative, fundamentally driven performance of the current market by comparing it to key macroeconomic reference assets.
Rather than analyzing price action in isolation, the indicator places the instrument into an intermarket and capital-flow context, highlighting relative overvaluation and undervaluation across asset classes.
Reference Markets
The current market can be compared to the following reference assets:
US Dollar Index (DXY)
Gold
US Treasury Bonds
A user-selectable custom market
The custom market is set by default to the Euro FX futures contract and can be adjusted according to analytical requirements.
Methodology:
The indicator measures relative performance by comparing the percentage price change of the current market with that of each reference asset over a fixed lookback period.
The resulting performance differences are normalized to a common scale, allowing structurally different markets to be evaluated within a unified framework.
Scale and Interpretation
All values are mapped to a standardized range from −100 to +100:
Positive values indicate relative overvaluation
Negative values indicate relative undervaluation
Values near zero indicate balanced relative valuation
This structure supports consistent interpretation across different market environments.
Background highlighting is used solely to emphasize extreme relative valuation conditions and serves as visual context only.
Intended Use
The indicator is designed for fundamental and macro-oriented market analysis, supporting intermarket comparison and relative valuation assessment as part of discretionary decision-making.
BTC - AXIS: Coppock + Williams %R CompositeTitle: BTC - AXIS: Coppock + Williams %R Composite | RM
Overview & Philosophy
AXIS (Advanced X-Momentum Intensity Score) is a specialized momentum composite designed to identify market structural shifts. In physics, an axis is the central line around which a body rotates; in this indicator, the Zero-Baseline acts as the AXIS for capital flow.
By fusing a slow-moving momentum engine ( Coppock Curve ) with a high-sensitivity tactical oscillator ( Williams %R ), this tool filters out the "market noise" that leads to overtrading and focuses on the high-conviction "Trend-Aligned Dips."
Methodology
Most indicators either suffer from too much lag (Moving Averages) or too much noise (Standard RSI). AXIS solves this through "Speed-Balanced Normalization."
1. Macro Engine (Coppock Curve): Named after Edwin Coppock, this component identifies major market bottoms by smoothing two separate Rates of Change (RoC). It is your structural compass.
2. Tactical Trigger (Williams %R): Created by Larry Williams, this measures the current close relative to the High-Low range.
• Re-centered Logic: Standard Williams %R oscillates between 0 and -100. Here, this is re-centered to oscillate around zero, ensuring it interacts mathematically correctly with the Coppock baseline.
3. The AXIS Score: The Composite line (Orange) is the weighted sum of these two engines. It provides a singular view of the market's "Net Momentum Intensity."
How to Read the Chart
🟧 The AXIS Composite (Orange Line): The primary signal line. It tracks the speed and exhaustion of the price by fusing macro and tactical data.
• Red Zone (> 150): Overheated. Short and long-term momentum are at extreme highs. Risk of a blow-off top or local reversal is high.
• Green Zone (< -150): Capitulation. The market is statistically exhausted. Historically, these zones represent high-conviction accumulation areas.
• Bullish Momentum (> 0): The market is rotating above the central Axis. Buyers are in control of the trend.
• Bearish Momentum (< 0): The market is rotating below the central Axis. Sellers are in control of the trend.
🟦 The Coppock Line (Blue): The macro filter. When Blue is above 0, the long-term trend is up.
🟥 The Williams %R Line (Red): The short-term cycles. Watch for divergences here to spot early trend fatigue.
Strategy: The "AXIS Alignment" Signal
The highest-conviction entry point—and the primary "Alpha" of this tool—occurs when:
The macro trend is Bullish ( Blue Line > 0 ).
The market experiences a correction, pushing the Orange (AXIS) Line into the Green Capitulation Zone.
The AXIS Score turns back upward.
This indicates that a short-term panic has been absorbed by a long-term bull trend—the ideal "Buy the Dip" scenario.
Settings
• Long/Short RoC: Standardized to 14/11 for cycle accuracy.
• Weighting: Allows you to prioritize trend (Coppock) or cycle sensitivity (%R).
• Visibility Toggles: Fully customizable display switches for each line.
Credits
• Edwin Coppock: For the foundation of long-term recovery momentum.
• Larry Williams: For the Percent Range methodology.
⚠️ Note: This indicator is optimized for the Daily (1D) Timeframe. Please switch your chart to 1D for accurate signal reading.
Disclaimer
This script is for research and educational purposes only. Past performance does not guarantee future results.
Tags
bitcoin, btc, axis, momentum, oscillator, coppock, williams r, on-chain, valuation, cycle, Rob Maths
Bear Momentum Engine (RSI Regime)Title: Bear Momentum Engine (RSI Regime)
Bear Momentum Engine is a professional-grade analytical tool designed specifically for crypto markets during bearish cycles. Unlike traditional RSI indicators that look for "oversold" levels, this engine focuses on momentum structure and regime expansion phases.
The Philosophy
Most traders lose money by buying "oversold" RSI during a crash. This tool is built on Andrew Cardwell’s range shift theory: in a true bear regime, RSI struggles to break above 60, and its real power is found in how it expands away from its moving average.
Key Features:
Bear Regime Detection: Automatically identifies the bearish market phase. The background turns red only when the structural momentum confirms a downside bias.
Momentum Expansion: A proprietary algorithm tracks the "detachment" of RSI from its MA. When the distance increases, it signals a high-probability bearish thrust.
Iron Exit: A disciplined profit-taking system. It triggers an exit signal as soon as the momentum starts to fade, allowing you to lock in gains before the bounce.
No-Trade Zones: Filters out "market noise." The gray background indicates a sideways market where the risk-to-reward ratio is unfavorable.
Best Use Cases:
Strategy: Short-selling, Futures, and Perpetuals.
Goal: Trading with the trend and avoiding "bull traps."
Recommended Timeframes: 1H, 4H, Daily.
Best RSI (SIIT) By Nagaraj HiremathBest RSI (SIIT) By Nagaraj Hiremath is based on RSI shows when to By and sell .
Ai Kavach by Pooja v16✅ Fakeout Kavach by Pooja — Smart Fake Breakout Protector
Fakeout Kavach is designed to help traders understand when a breakout is strong and when it is likely to be a trap.
It works as a confirmation and filtering system, giving you a clear view of market strength, momentum, volume pressure, and potential reversal signs — without providing buy/sell recommendations.
This is a support tool for traders who want cleaner entries, fewer trap trades, and better clarity in fast-moving markets.This tool adds an intelligent multi-layer confirmation system on your chart so you can quickly understand:
✔ When the breakout is real
✔ When the market has strength
✔ When momentum is fading
✔ And when you should simply avoid the move
It doesn’t give buy/sell calls.
Instead, it helps you decide “Should I trust this move or not?”
⭐ Core Features (Explained in Simple Language)
🔹 1. Fake Breakout Filter (RSI + MA Logic)
Fakeouts often happen when price shows strength but momentum does not.
This module checks:
RSI strength
RSI–MA crossover behaviour
Momentum direction
Push/rejection zones
📌 Benefit:
Quickly see if the breakout has real strength behind it or it’s just a trap candle.
🔹 2. Trend Strength Filter (ADX Protection)
Most traders lose money in sideways markets.
ADX Filter helps you understand whether the market actually has trend strength or not.
📌 Benefit:
Avoid taking trades when the market is weak, choppy, or directionless.
Only focus on moves backed by strength.
🔹 3. SB/SS Smart Confirmation
SB (Strong Break) and SS (Strong Slide) confirmations highlight alignment between:
Momentum
Trend
Strength
RSI structure
📌 Benefit:
Cleaner entries, fewer false triggers, and more confidence in the move you take.
🔹 4. Divergence Detection (RSI Based)
Catches early signs of:
Bullish reversal
Bearish reversal
Exhaustion at highs/lows
📌 Benefit:
Helps you avoid entering at the worst possible points and improves exit timing.
🔹 5. VAD Module (Volume + ATR + Delta Pressure)
Fake moves usually have weak volume or no volatility.
This module checks:
Volume strength
Volatility (ATR)
Buying/selling pressure (Delta)
📌 Benefit:
Helps you understand whether the breakout is backed by real buyer/seller pressure.
🔹 6. Session Protection
Opening candles can be noisy and unpredictable.
Session block lets you avoid signals during high volatility windows.
📌 Benefit:
No more taking wrong entries during the rush at market open.
🔹 7. Fully Modular – Use Only What YOU Need
Every feature has its own ON/OFF switch.
You can create your perfect setup by enabling only what you prefer.
📌 Benefit:
Suitable for scalpers, intraday traders, swing traders, and even beginners.
🎨 Customization Power — Fully Modular Design
✔ Every section of Fakeout Kavach has its own ON/OFF toggle:
✔ Turn RSI visuals on/off
✔ Enable or disable MA & fills
✔ Activate or hide divergences
✔ Use or ignore ADX trend filter
✔ Show or hide SB/SS signals
✔ Enable or disable session block
✔ Choose label style, shapes, colors, sizes
✔ Keep chart clean or run full analysis mode
✔ You decide what appears.
✔ You control the complexity.
✔ One indicator fits all types of traders.
🌍 Works Across All Markets
✔ Stocks
✔ Crypto
✔ Forex
✔ Commodities
✔ Indices
All timeframes from scalping to swing trading.
⭐ What This Indicator Helps You With
Avoiding trap candles
✔ Understanding when a move is strong or weak
✔ Filtering bad breakouts
✔ Confirming market structure with momentum
✔ Spotting reversal signs early
✔ Building confidence in your entries
✔ Staying out of sideways/no-volume zones
🛠 Support
For indicator-related questions, clarification, or feature suggestions, you can contact the creator through TradingView’s comment section or direct message.
⚠ Disclaimer (TradingView Policy Safe)
This indicator does not provide buy/sell signals, does not predict market movements, and does not guarantee results or profitability.
It is a technical analysis tool intended to assist traders in making their own trading decisions.
Always use proper risk management and follow your own trading plan.
Tether Dynamics - Statistical Exhaustion EngineOverview
This strategy detects statistical exhaustion in price movement by modeling price as a particle tethered to a dynamic anchor. When price stretches too far from equilibrium and multiple independent statistical detectors confirm anomalous behavior, the strategy identifies high-probability mean-reversion opportunities.
Unlike simple oversold/overbought indicators, this system fuses concepts from classical mechanics , stochastic filtering , multivariate statistics , and statistical process control into a unified detection framework.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
THEORETICAL FOUNDATION
1. The Tethered Particle Model
The framework draws inspiration from Polyak's heavy ball method in optimization theory, where a particle with momentum navigates a loss landscape. Here, price is modeled as a particle connected to a moving anchor (adaptive EMA) by an elastic "chain" whose length scales with volatility (ATR). This creates a natural physics framework:
Displacement (x) : Distance from anchor, normalized by chain length
Velocity (v) : Rate of change of displacement
Acceleration (a) : Rate of change of velocity
This state vector defines the system's "phase space" — a complete description of price dynamics relative to equilibrium.
2. Adaptive Anchor (Kaufman Efficiency)
The anchor uses an adaptive smoothing approach inspired by Perry Kaufman's Adaptive Moving Average. The Efficiency Ratio measures trend strength:
ER = |Direction| / Volatility = |Price - Price | / Σ|ΔPrice|
High efficiency (trending) → faster adaptation
Low efficiency (choppy) → slower, more stable anchor
This prevents whipsaws in ranging markets while staying responsive in trends.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DETECTION ARCHITECTURE
The strategy employs three independent statistical detectors , each grounded in distinct mathematical frameworks. A signal fires when price shows extended tension AND any detector confirms anomalous behavior AND momentum is decelerating (exhaustion).
Detector 1: Mahalanobis Distance (Multivariate Outlier Detection)
The Mahalanobis distance measures how "unusual" the current state vector is, accounting for correlations between displacement, velocity, and acceleration:
D² = (x - μ)ᵀ Σ⁻¹ (x - μ)
Where Σ is the full 3×3 covariance matrix. Under multivariate normality, D² follows a chi-squared distribution with 3 degrees of freedom:
χ²(3, 0.90) = 6.25 → 10% of observations exceed this
χ²(3, 0.95) = 7.81 → 5% of observations exceed this
This detector identifies states that are jointly extreme — even if no single variable looks unusual alone.
Why it matters: A price might have moderate displacement and moderate velocity, but the combination could be highly improbable. Mahalanobis captures this multivariate structure that univariate indicators miss.
Detector 2: CUSUM Change-Point Detection
Cumulative Sum (CUSUM) is a sequential analysis technique from statistical process control. It accumulates standardized deviations from the mean:
S⁺ₜ = max(0, S⁺ₜ₋₁ + zₜ - drift)
S⁻ₜ = min(0, S⁻ₜ₋₁ + zₜ + drift)
When either cumulative sum breaches a threshold, a "change point" is detected — the process has shifted from its baseline regime.
Why it matters: CUSUM detects subtle, persistent shifts that might not trigger on any single bar. It's sensitive to regime changes that precede reversals.
Detector 3: Kalman Innovation Filter (Ornstein-Uhlenbeck Model)
This detector models displacement as an Ornstein-Uhlenbeck process — the continuous-time analog of AR(1) mean-reversion:
dx = θ(μ - x)dt + σdW
A Kalman filter tracks the expected displacement and computes the innovation (prediction error):
νₜ = (yₜ - x̂ₜ|ₜ₋₁) / √Sₜ
Under correct model specification, normalized innovations should be ~N(0,1). Large innovations indicate the mean-reversion model is breaking down — price is behaving "unexpectedly" relative to equilibrium dynamics.
Adaptive Q Estimation: The filter continuously adjusts its process noise estimate based on innovation autocorrelation, maintaining calibration across different volatility regimes.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
SIGNAL LOGIC
Long Signal Requirements:
Z-Displacement < -σ threshold (price stretched below anchor)
ANY detector fires (Mahalanobis outlier OR CUSUM change OR Kalman innovation < -2σ)
Z-Acceleration > 0 (downward momentum decelerating)
Short Signal Requirements:
Z-Displacement > +σ threshold (price stretched above anchor)
ANY detector fires
Z-Acceleration < 0 (upward momentum decelerating)
The deceleration requirement ensures we're catching exhaustion rather than fighting momentum.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
RISK MANAGEMENT
Scale-Out Exit Strategy
Rather than all-or-nothing exits, the strategy takes profits at multiple R-levels:
Scale 1: 20% at 0.5R
Scale 2: 20% at 1.0R
Scale 3: 10% at 1.5R (optional)
Remainder: Trailing stop
This locks in gains while allowing winners to run.
Adaptive Trailing Stop
After reaching the activation threshold (default 1R), the stop trails from the highest high (longs) or lowest low (shorts) at a configurable ATR multiple.
Reversal Logic
When an opposite signal fires while in position, the strategy can close and flip direction rather than waiting for a stop-out.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
PARAMETER GUIDANCE
Anchor Period (24) : Base period for adaptive anchor
ATR Period (14) : Volatility measurement
Chain Length Mult (2.5) : Tether elasticity — higher = more stretch allowed
Long Tension σ (1.5) : Lower = more signals
Short Tension σ (2.0) : Higher threshold for shorts (trend asymmetry)
Mahalanobis Threshold (6.25) : χ²(3, 0.90) — adjust for signal frequency
CUSUM Threshold (3.0) : Lower = more sensitive to regime shifts
Lookback Window (100) : Statistical estimation window
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
BACKTEST NOTES
Historical testing on NQ (2020-2025) suggests:
Long signals show stronger edge than shorts in equity indices
1H and 30-min timeframes balance signal quality vs. frequency
"Long Only" mode recommended for equity index futures
Important: Past performance does not guarantee future results. This strategy involves significant risk of loss.
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
MATHEMATICAL REFERENCES
Polyak, B.T. (1964). "Some methods of speeding up the convergence of iteration methods" (Heavy ball method)
Bertsekas, D.P. (1999). "Nonlinear Programming" (Heavy ball method / momentum dynamics)
Mahalanobis, P.C. (1936). "On the generalized distance in statistics"
Page, E.S. (1954). "Continuous inspection schemes" (CUSUM)
Kalman, R.E. (1960). "A new approach to linear filtering and prediction problems"
Uhlenbeck, G.E. & Ornstein, L.S. (1930). "On the theory of Brownian motion"
Kaufman, P. (1995). "Smarter Trading" (Adaptive Moving Average)
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
DISCLAIMER
This strategy is provided for educational and research purposes. Trading futures involves substantial risk of loss. The statistical methods employed do not guarantee profitable outcomes. Always use appropriate position sizing and risk management.
Whale Trading Network Technical Indicator
Whale Trading Network — Technical Indicator (WTN)
What it does — signal families
WTN produces three signal types across three user‑selected timeframes: (1) Green : bottom setup candidates, (2) Gold : continuation confirmations, and (3) Red : early top warnings. It blends momentum with trend/structure context and suppresses prints during sustained downtrends or late‑stage rallies. Defaults target 4h, 1d, and 5d workflows.
Preamble — originality and invite‑only context
WTN is a controller‑driven, regime‑aware indicator that coordinates classic elements (RSI, MACD, Stochastic RSI, MAs, BBs) into a governed signal layer rather than a simple overlay. A latched Down‑Channel regime, a Top‑Zone swing gate, cross‑asset/timeframe normalization, confluence‑based dot permissions, and multi‑timeframe orchestration (gold‑only on the highest frame) work together to actively manage when signals are allowed. The sections below explain why this is not a mashup and why the closed‑source / vendor value resides in WTN’s state‑machine logic, interlock rules, normalization framework, and cross‑frame roles—presented at the concept level so traders and moderators can understand how it operates without exposing proprietary thresholds.
Why it’s not a simple mashup (originality & usefulness)
WTN is not a bundle of classic tools; it is a controller‑driven indicator with regime awareness, gating, and normalization that coordinates otherwise independent signals into a single, coherent decision layer. Instead of overlaying RSI + MACD + BB + MAs, WTN governs when those tools matter, how long their states persist, and when prints must be blocked—using rules a basic mashup does not provide.
What the controller actually governs
Identifies and latches regimes (e.g., sustained down‑channel) so print permissions change with context—not just oscillator ticks.
Applies gates (e.g., Top‑Zone) when swing positioning suggests late‑stage risk.
Normalizes and weights evidence so MACD, RSI, Stoch RSI, histogram behavior, and price context contribute coherently.
Coordinates timeframes so dots form a workflow (tactical → swing → continuation) rather than three unrelated overlays.
Regime awareness & hysteresis (stability by design)
A core source of originality is hysteresis : once WTN recognizes a down‑channel, it latches that regime and suppresses prints until persistent breakout evidence plus momentum stabilization appear. This prevents flip‑flopping during chop, “first‑bounce” head fakes, and lower‑high rallies that a simple overlay will often misclassify. The regime state is visible (tinted panel), so users know why signals are paused.
Context gates that actively refuse bad timing
Two key context gates reduce “chase‑the‑top” and “bottom‑fish” problems:
Down‑Channel Latch: Blocks bottom candidates while momentum/structure remain impaired, then re‑enables only after sustained improvement.
Top‑Zone Gate: Detects upper‑swing positioning with momentum decay and blocks prints until positioning resets, avoiding confirmations into exhaustion.
Normalization that makes confluence real
Classic indicators have incompatible scales that vary across assets and timeframes. WTN normalizes them:
MACD line/signal/histogram, RSI, and Stoch RSI are mapped to consistent ranges so slope tests and region checks are comparable.
This lets confluence be meaningful : no single tool dominates due to scale; each contributes proportionally to permissions.
Multi‑timeframe orchestration (coordinated, not duplicated)
WTN assigns roles across the three selected timeframes:
Shorter timeframe: Tactical green setups (higher risk), ideally validated by gold .
Middle timeframe: Swing validation with more selective gold .
Highest timeframe: Gold‑only continuation, prioritizing higher‑confidence confirmation.
On lower frames, gold requires a prior green ; on the highest frame, green never prints . This structure turns dots into a sequence rather than three independent overlays.
Permission lattice & precedence (how conflicts are resolved)
Signals must pass a permission lattice where evidence sources interlock:
Momentum alignment: MACD slope and histogram behavior must agree; a single crossover is not enough.
Oscillator state: RSI/Stoch RSI must be supportive (e.g., stabilization from weak zones for a bottom candidate).
Structure & volatility context: MA stack, BB basis/width, and ATR‑aware checks help confirm or veto timing.
Regime/gate status: Down‑Channel or Top‑Zone states can override otherwise bullish micro‑signals.
Precedence rules mean a strong veto (e.g., active latch) can inhibit a print even if oscillators briefly improve.
Debounce, persistence & resumption (time matters)
WTN emphasizes persistence windows and debounce behavior:
Breakouts must persist (not one‑bar spikes) before the latch releases.
Oscillator stabilization must sustain before green candidates are permitted.
Continuations ( gold ) require maintained alignment , not transient ticks, so you avoid prints on single‑bar noise.
Failure modes addressed by the controller
RSI oversold during falling MACD: Basic mashups flag “bottom”; WTN keeps the latch until histogram and RSI recover together .
Momentum crossover inside the Top‑Zone: Overlays confirm continuation; WTN blocks until price resets out of the upper swing.
Event‑driven spikes (gap/volatility bursts): Transient improvements are debounced ; permissions wait for sustained evidence.
Indicator scale drift across assets/timeframes: Normalization ensures confluence rules remain consistent when you switch symbols.
Interpretability: see the “why,” not just the “what”
WTN’s pane is structured for auditability :
Tinted background exposes regime state (e.g., down‑channel latch).
Histogram anchored at 0 , RSI in the upper sub‑pane (0–100), Stoch RSI in the lower sub‑pane (−100–0) with clear overbought/oversold coloring.
Traders can visually trace the permission path: regime → positioning → momentum → oscillator → dot allowed/blocked.
Bottom line: WTN’s originality lives in the controller, regime latch, context gates, normalization, permission lattice, and timeframe orchestration that actively manage when a print is allowed. It is a coordinated decision system—not a simple overlay of classic indicators—and that governance is the reason it adds practical value for traders.
Why closed‑source / vendor value
WTN is powered by a proprietary engine written from the ground up in Pine v6; the source does not reuse any third‑party open‑source code. Its originality lies in the controller architecture and interlock logic that govern regime detection, context gates, normalization, and cross‑frame coordination. While it reads familiar elements (RSI, MACD, Stochastic RSI, MAs, BBs), the value comes from how those elements are orchestrated—state‑machine gating with hysteresis, context‑aware suppression and resumption, normalized confluence tests, and gold‑only continuation on the highest timeframe—yielding behavior that is not achievable by simply overlaying built‑ins.
What is original (and protected)
State‑machine gating: Rules define regimes, transitions, hysteresis, and re‑enable conditions across evidence sources (momentum slope, histogram decay/recovery, oscillator zones, MA/BB context).
Permission graph & interlocks: RSI, MACD (line/signal/histogram), Stoch RSI, price‑structure gates, and MA/BB context vote together through precedence rules—this coordination is proprietary.
Normalization framework: Mapping and using normalized ranges for momentum/oscillators to make confluence tests stable across assets/timeframes is a deliberate design central to WTN’s consistency.
Multi‑timeframe controller roles: Gold‑only behavior on the highest timeframe and the green‑precedence rule on lower frames are coordinated workflows specific to WTN.
Context‑aware suppression/resumption: Suppressing dots during down‑channels and top‑zones, then resuming only on verified persistence, reduces “false‑print drift” common to naive mashups.
Why protection is appropriate
Not reproducible through overlays: While anyone can overlay RSI, MACD, and BBs, WTN’s controller decisions (state transitions, permission checks, persistence windows, evidence requirements) are not trivially inferred from outputs and are central to its behavior.
Integrity of the workflow: Protection preserves a single, tested implementation so users do not encounter fragmented clones with altered rules that undermine the controller’s intent.
Ongoing calibration: Profiles for Crypto vs. Stocks (across three timeframes each) are curated to typical volatility traits. Maintaining these calibrations and the permission graph is part of the product’s vendor value.
What traders get (concept level, not black‑box hype)
Regime‑aware signals: Fewer prints into multi‑leg downtrends or late‑stage tops because the system explicitly refuses to signal in those contexts.
Consistent confluence: Normalization makes cross‑asset/timeframe confluence checks meaningful; users aren’t whipsawed by indicator scale differences.
Coherent workflow: Green → Gold on tactical frames, Gold‑only on the highest frame for continuation—an interpretable sequence that is easy to audit on the pane.
Transparent context: Tinted backgrounds and sub‑pane organization show why a dot was allowed or blocked (regime, swing position, oscillator state), letting traders understand how the script does what it claims—without exposing proprietary thresholds.
How it works — components & flow (concept level)
1) Normalized momentum & context
WTN reads RSI , MACD (line, signal, histogram), Stochastic RSI , ATR‑aware volatility , moving averages , Bollinger Bands , and price‑structure gates . Internals normalize oscillator values to a common pane so slopes, threshold checks, and histogram behavior are comparable across assets and timeframes. The histogram remains centered on 0, RSI uses 0–100 in the upper sub‑pane, and Stoch RSI maps to the lower sub‑pane.
Conceptual effect:
Normalization mitigates asset‑specific amplitude differences (e.g., MACD’s variable scale) so confluence tests don’t break when you switch symbols/timeframes.
Visual cues (line colors for overbought/oversold) make state changes obvious.
2) Regime detection — Down‑Channel Latch
Synchronized evidence (weak MA stack, negative momentum slope, fading histogram, RSI/Stoch RSI weak zones, price‑structure traits) latches the down‑channel regime. When latched, green prints are suppressed . The latch releases only after breakout persistence and improvements in RSI/histogram confirm trend resumption. The panel tints red while latched.
Design intent: Cut bottom‑fishing noise during multi‑leg downtrends, then resume prints only after sustained recovery.
3) Swing‑positioning — Top‑Zone Gate
A “top‑zone” derived from recent swing bounds with BB/Fibonacci context and momentum checks blocks new prints when price is in the upper swing and momentum decays, reducing confirmations into exhaustion.
4) Dot permissions (confluence gating)
WTN coordinates RSI, MACD, Stoch RSI, histogram behavior, SMA/BB context , and regime gates to determine whether a dot is allowed:
Green (bottom setup): Requires momentum deceleration with histogram improvement, RSI stabilizing upward, and price firming vs recent closes. Suppressed in Down‑Channel latch or Top‑Zone gate.
Gold (continuation): On lower two timeframes, prints only after a prior green and requires aligned momentum/oscillator states and supportive price context; on the highest timeframe, gold‑only prints emphasize higher‑confidence continuation cues.
Red (early top warning): Requires synchronized local peaks/roll‑downs across oscillators with slowing histogram; blocked in specific exhaustion conditions to avoid warnings into capitulation.
5) Multi‑timeframe controller
A controller aligns permissions across the three selected timeframes . Shorter frames provide tactical entries; the middle frame favors swing setups; the highest frame prints gold‑only for major continuation confirmation. Signals are coordinated, not independent overlays.
How to use it
Choose timeframes: Defaults target 4h / 1d / 5d . Use the shorter frame to spot tactical green ; wait for gold on the same or higher frame to confirm. Use the middle frame for swing validation. The highest frame is gold‑only , helping avoid early greens during broader trends.
Watch the tint: A red background band denotes the Down‑Channel latch ; expect suppressed greens until breakout persistence and momentum improvement.
Read the panel: The pane shows normalized momentum (MACD, histogram) with RSI up top and Stoch RSI below, including clear overbought/oversold coloring.
Confirm, then manage exposure: Treat green → gold as the preferred sequence. MA/BB context helps gauge trend strength (e.g., price vs 50/100/200 SMA and BB basis). Greens are higher‑risk; favor gold confirmations.
Crypto vs Stocks — calibrated profiles
Profiles are tuned for typical volatility patterns in each asset class. Each timeframe has its own calibration, yielding six independent tuning sections (3 per asset class).
Screenshots — captions
Screenshot 1 — Down‑Channel latch & release
The red‑tinted band shows the Down‑Channel latch regime on the indicator pane. While latched, green prints are suppressed . The latch only releases after breakout persistence and momentum improvement are visible (MACD/histogram strengthening with RSI and Stochastic RSI stabilizing). Once released, if the Top‑Zone gate is open and price context is supportive, the controller may permit a green dot on the lower timeframes, followed by a gold confirmation when conditions remain aligned.
Screenshot 2 — Pane layout & normalization
The indicator pane is organized for quick audit: the histogram is centered on 0 ; RSI plots in the upper sub‑pane on a 0–100 range; Stochastic RSI plots in the lower sub‑pane on a −100 to 0 normalized range. MACD line/signal/histogram and oscillators are normalized so slope checks, region tests, and confluence are comparable across symbols/timeframes. Line colors reflect overbought/oversold states to make regime/context changes easy to read.
Screenshot 3 — Adaptive dot permissions (sequence example)
This sequence shows adaptive dot permissions at work. After breakout persistence from a latched down‑channel, the controller permits a gold dot on the 5‑day view to confirm continuation (the highest timeframe uses gold‑only ). Soon after, the Top‑Zone gate engages, momentum slows (RSI/Stochastic RSI roll down, histogram decays), and a red dot warns of an early top. If deterioration persists, the Down‑Channel re‑latches and prints remain suppressed until the next verified recovery.
Limits & notes
100% original work: The WTN engine and controller logic are programmed from the ground up. No third‑party open‑source code, educational snippets, or auto‑generated code are reused.
No external libraries: Built in Pine v6 using standard language features only; no external libraries or ports of community scripts are used.
Chart type: Designed for standard time‑based candles only; non‑standard charts (Heikin Ashi, Renko, Kagi, P&F, Range) can produce unrealistic results.
Data handling: No lookahead and no future offsets.
Risk disclosure & legal notice
This tool is provided for educational purposes only and does not constitute financial or investment advice or recommendations.
Trading and investing involve risk, including possible loss of principal.
No guarantees or warranties of performance are expressed or implied. Past results do not predict future outcomes.
This publication does not include solicitation, pricing, or promotional offers; it provides information on the indicator’s design and use.
Use at your own risk. Test settings on paper and consult a qualified investment professional familiar with your risk tolerance before any live use.
