ORB Sessions w/ MidlineORB Sessions with Midline – Customizable Opening Range Breakout Indicator
📌 Overview:
This indicator allows traders to visualize Opening Range Breakout (ORB) sessions with customizable high, low, and midline levels. It supports both predefined ORB sessions and user-defined custom sessions. The ORB levels update in real-time and are automatically hidden on higher timeframes.
🔹 Features:
✅ Predefined ORB Sessions – Toggle commonly used ORB periods to match your strategy.
✅ Custom ORB Sessions – Define up to three additional ORB sessions with custom start and end times.
✅ Live ORB Updates – ORB high, low, and midline update dynamically as bars close within the session.
✅ Customizable Colors & Labels – Set unique colors for high, midline, and low levels, and enable/disable price labels.
✅ Smart Timeframe Filtering – ORB lines automatically hide on higher timeframes when they exceed the ORB duration.
✅ Futures Market Adjustments – Automatically shifts ORB session times for NQ, ES, YM, RTY, and M2K to align with market hours.
🛠️ How to Use:
1️⃣ Enable ORB Sessions – Select which predefined sessions you want to track.
2️⃣ Customize Your Own ORBs – Define up to three custom ORB sessions with specific start and end times.
3️⃣ Adjust Visualization – Modify ORB colors and labels for better chart clarity.
4️⃣ Trade ORB Breakouts – Use these key levels to identify potential breakouts, reversals, and trend continuation setups.
趨勢分析
SENEE momentum indicator Ver#2Use the method of finding the difference between the current and previous closing prices and then sum the values in a given period.
In ver2, Demand and Supply zone and Greed and Fear zone have been added to help in decision making.
Good luck
ใช้หลักการหาส่วนต่างระหว่างราคาปิดปัจจุบันกับราคาปิดก่อนหน้า แล้วหาผลรวมในช่วงเวลาที่กำหนด
ในเวอร์ชัน 2 ได้เพิ่ม Demand & Supply zone และ Greed and Fear zone เข้ามาเพื่อช่วยในการตัดสินใจ
ขอให้โชคดี
Machine Learning + IchimokuIchimoku Cloud + Machine Learning Levels is an advanced indicator that merges a classic trend tool with machine-learned supply & demand zones. Combining the two can help traders identify trends and key price zones with greater confidence when both signals align!
How it Works
The Ichimoku Cloud component identifies the trend direction and momentum at a glance – it shows support/resistance areas via its cloud (Kumo) and signals potential trend changes when the Tenkan-sen and Kijun-sen lines cross. Meanwhile, the Machine Learning module analyzes historical price data to project potential support and resistance levels (displayed as horizontal lines) that the algorithm deems significant. By combining these, the script offers a two-layer confirmation: Ichimoku outlines the broader trend and equilibrium, while the ML levels pinpoint specific price levels where the price may react. For example, if price is above the Ichimoku Cloud (uptrend) and also near an ML-predicted support, the confluence of these signals strengthens the case for a bounce.
How to Use
Apply the indicator to a chart like any other TradingView script. It works on multiple asset classes (see supported list below). Once added:
Ichimoku Lines
Tenkan-sen (Blue): Short-term average reflecting recent highs/lows.
Kijun-sen (Red): Medium-term baseline for support/resistance.
Senkou Span A (Green) & Senkou Span B (Orange) form the “Cloud” (Kumo). Price above the Cloud often signals a bullish environment; price below it can signal a bearish environment.
Chikou Span (Purple): Plots current closing price shifted back, helping gauge momentum vs. past price.
ML-Predicted Support/Resistance Lines (Green/Red Horizontal Lines)
Green Horizontal Lines – Potential support zones.
Red Horizontal Lines – Potential resistance zones.
These dynamically adjust based on the specific asset and are updated as new historical data becomes available.
Password (for Advanced Features)
In the indicator’s Settings, there is an input field labeled “Password.” The password corresponds to the ticker(s) listed below.
Stocks
TSLA, NVDA, AAPL, AMZN, PLTR, AMD, META, MSFT, MSTR, GOOG, GME, COIN, NFLX, BABA, UBER, HOOD, NKE
Cryptocurrencies
ETH, BTC, SOL, BNB, XRP, ADA, DOT, DOGE, LTC, JUP, LINK, INJ, FET, SAND, HBAR, TRX, SHIB, UNI
(If you attach the indicator to any unlisted ticker, you will only see the Ichimoku Cloud.)
Why It’s Unique
This script is a fresh take on market analysis – it’s original in fusing Ichimoku’s visual trend mapping with machine learning. The Ichimoku framework provides time-proven trend insight, and the ML levels add forward-looking context specific to each asset. By uniting them, the indicator aims to filter out false signals and highlight high-probability zones. No repainting occurs: Ichimoku values are based on closed data, and ML levels are computed from historical patterns (they do not retroactively change).
Ichimoku Cloud + Machine Learning Levels offers an informative blend of old and new analysis techniques. It clearly shows where price is relative to trend (via Ichimoku) and where it might react in the future (via ML levels). Use it to gain a richer view of the market’s behavior. I hope this indicator provides valuable insights for your trading decisions. Happy trading!
Média Biweight de Tukey indicador "Média Biweight de Tukey" é uma média móvel robusta que utiliza a função Biweight de Tukey para suavizar a série de preços, minimizando a influência de outliers. Em vez de tratar todos os valores com a mesma importância, ele atribui pesos diferenciados a cada preço dentro do período definido, de modo que os pontos mais distantes do centro (valores extremos) têm menor influência no cálculo da média.
Principais Características
Robustez aos Outliers:
Utiliza uma função de peso baseada na distância dos preços em relação à média e ao desvio padrão. Valores que se afastam muito da média (acima de um limiar definido) recebem peso zero, reduzindo o impacto de movimentos bruscos e anômalos.
Parâmetros Ajustáveis:
O usuário pode definir o período de cálculo (por exemplo, 20 barras) e uma constante (c) que determina a sensibilidade do indicador aos outliers. Além disso, é possível escolher a fonte dos dados (como o preço de fechamento).
Cálculo Baseado em Valores Absolutos:
O indicador calcula a média simples e o desvio padrão dos preços dentro do período selecionado para estabelecer um ponto de referência.
Plotagem no Gráfico:
A média ponderada resultante é plotada sobre o gráfico dos candles. Como o indicador opera com valores absolutos de preço, ele permanece ancorado ao nível de preço, ou seja, mesmo que a escala dos candles seja modificada (dilatação ou contração), a linha da média mantém sua posição relativa ao preço e não se ajusta visualmente ao tamanho dos candles.
Aplicações
Esse indicador é útil para:
Suavizar a série de preços, ajudando a identificar tendências subjacentes.
Reduzir o ruído causado por flutuações abruptas e valores extremos.
Fornecer um suporte mais robusto para análise técnica, principalmente em mercados voláteis.
Em resumo, a "Média Biweight de Tukey" oferece uma alternativa mais resiliente às médias móveis tradicionais, focando em um cálculo que filtra distorções causadas por outliers e proporciona uma visão mais consistente da tendência de preço.
Multi Indicator Buy/Sell with BacktestThis backtest indicator allows you to configure up to 4 different indicators and set buy/sell levels for each one, then back test how well your strategy would have worked over a given time period.
Sessions pro v1 that visualizes multiple trading sessions on a chart. Here's a brief summary of its functionalities:
- **Session Visualization**: It defines up to four trading sessions (Session A, B, C, and D), which are customizable and correspond by default to major global markets:
- **Session A**: New York (`1300-2200` UTC)
- **Session B**: London (`0700-1600` UTC)
- **Session C**: Tokyo (`0000-0900` UTC)
- **Session D**: Sydney (`2100-0600` UTC)
- **Customization Options**:
- **Session Names**: Each session can be named as desired.
- **Time Ranges**: Custom time ranges can be set for each session.
- **Colors**: Users can choose specific colors for each session's visual elements.
- **Dashboard Display**:
- Shows a table on the chart indicating whether each session is currently active based on the real-time clock.
- The dashboard's position and size are customizable (e.g., Top Right, Bottom Center, Small, Large).
- Displays the status (`Active` or `Inactive`) for each session with color indicators (green for active, black for inactive).
**Purpose**:
This indicator helps traders:
- **Visual Analysis**: Easily see when major market sessions start and end.
- **Price Action**: Observe how prices move during different global trading hours.
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Daily Dividers
Core Functionality
Visual Separation of Days: Draws dashed vertical lines at the start of each trading day to clearly separate daily sessions.
Day Labels: Displays the name of the day (e.g., Monday, Tuesday) at the top of the chart for quick reference.
Purpose: Helps traders identify the beginning of new trading days and organize price action analysis by day.
Ideal for: Traders who need a clear visual structure for daily price movements.
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Daily and Weekly Change Tracking: 1D change / 1W change
Monitors and displays percentage changes in price for daily (1D) and weekly (1W) timeframes.
Color-Coded Visualization: Uses color coding to indicate positive (green) and negative (red) changes, enhancing quick visual analysis.
Historical Data Retrieval: Fetches past closing prices to calculate percentage changes, providing context for current price movements.
Dynamic Table Display: Presents changes in a structured table format, allowing for easy comparison across different symbols and timeframes.
//////////
Overbuy/Oversell Dashboard
Core Functionality
Aggregates 19 Technical Indicators: Combines signals to calculate Overbuy and Oversell conditions.
Real-Time Signal Counting: Displays the total number of Overbuy/Oversell signals in a clean, color-coded table.
Key Features:
Overbuy: Green highlight with total signals.
Oversell: Red highlight with total signals.
Purpose: Helps traders identify potential reversal points by showing the strength of conditions across multiple indicators.
Ideal for: Quick market sentiment analysis and confirming trend reversals.
//////////
Multi-Timeframe Trend Analysis:
Displays trends across various timeframes (1m, 3m, 5m, 15m, 30m, 1h, 2h, 4h, Daily, Weekly, Monthly).
User Customization: Users can choose which timeframes to display trends for, enhancing flexibility.
Real-Time Updates: Automatically updates trend status (Up/Down) based on the latest price movements.
Visual Dashboard: Presents trends in a table format for easy interpretation, with color-coded indicators for quick analysis.
//
**Warning:**
This indicator is a tool for market analysis and should **not be used alone** for trading decisions. Always combine its signals with other technical analysis methods, risk management strategies, and fundamental analysis to make informed and balanced trading choices.
Moving Average DifferenceThe indicator computes the difference between m-day MA and n-day MA. It can be used to tell the price trend.
Advanced Support and Resistance Levels[MAP]Advanced Support and Resistance Levels Indicator
Author
Developed by:
Overview
The "Advanced Support and Resistance Levels" indicator, created, is a sophisticated tool designed for TradingView's Pine Script v6 platform. It identifies and plots key support and resistance levels on a price chart, enhancing technical analysis by incorporating pivot strength, volume weighting, and level decay. The indicator overlays lines, zones, and labels on the chart, providing a visual representation of significant price levels where the market has historically reversed or consolidated.
Purpose
This indicator, authored by , aims to:
Detect significant pivot points (highs and lows) with customizable strength requirements.
Track and rank support/resistance levels based on their recency, volume, and number of touches.
Display these levels as lines and optional zones, with strength-based visual cues (e.g., line thickness and opacity).
Offer flexibility through user-configurable settings to adapt to different trading styles and market conditions.
Features
Pivot Detection:
Identifies high and low pivots using a strength parameter, requiring a specified number of bars on either side where no higher highs or lower lows occur.
Incorporates closing price checks and SMA-based trend confirmation to filter out noise and ensure pivots align with the broader market direction.
Level Management:
Maintains a dynamic array of levels with attributes: price, type (support/resistance), bars since last touch, strength, and volume.
Merges nearby levels within a tolerance percentage, updating prices with a strength-weighted average.
Prunes weaker or older levels when exceeding the maximum allowed, prioritizing those with higher calculated strength.
Strength Calculation:
Combines the number of touches (strength), volume (if enabled), and age decay (if enabled) into a single metric.
Volume weighting uses a logarithmic scale to emphasize high-volume pivots without over-amplifying extreme values.
Age decay reduces the importance of older levels over time, ensuring relevance to current price action.
Visualization:
Draws horizontal lines at each level, with thickness reflecting the number of touches (up to a user-defined maximum).
Optional price zones around levels, sized as a percentage of the price, to indicate areas of influence.
Labels display the level type (S for support, R for resistance), price, and strength score, with position (left or right) customizable.
Line opacity varies with strength, providing a visual hierarchy of level significance.
Plots small triangles at detected pivot points for reference.
Inputs
Lookback Period (lookback, default: 20): Number of bars to consider for trend confirmation via SMA. Range: 5–100.
Pivot Strength (strength, default: 2): Number of bars required on each side of a pivot to confirm it. Range: 1–10.
Price Tolerance % (tolerance, default: 0.5): Percentage range for merging similar levels. Range: 0.1–5.
Max Levels to Show (maxLevels, default: 10): Maximum number of levels displayed. Range: 2–50.
Zone Size % (zoneSizePercent, default: 0.1): Size of the S/R zone as a percentage of the price. Range: 0–1.
Line Width (lineWidth, default: 1): Maximum thickness of level lines. Range: 1–5.
Show Labels (showLabels, default: true): Toggle visibility of level labels.
Label Position (labelPos, default: "Right"): Position of labels ("Left" or "Right").
Level Strength Decay (levelDecay, default: true): Enable gradual reduction in strength for older levels.
Volume Weighting (volumeWeight, default: true): Incorporate volume into level strength calculations.
Support Color (supportColor, default: green): Color for support levels.
Resistance Color (resistColor, default: red): Color for resistance levels.
How It Works
Pivot Detection:
Checks for pivots only after enough bars (2 * strength) have passed.
A high pivot requires strength bars before and after with no higher highs or closes, and a short-term SMA above a long-term SMA.
A low pivot requires strength bars before and after with no lower lows or closes, and a short-term SMA below a long-term SMA.
Level Tracking:
New pivots create levels with initial strength and volume.
Existing levels within tolerance are updated: strength increases, volume takes the maximum value, and price adjusts via a weighted average.
Levels older than lookback * 4 bars with strength below 0.5 are removed.
If the number of levels exceeds maxLevels, the weakest (by calculated strength) are pruned using a selection sort algorithm.
Drawing:
Updates on the last confirmed bar or in real-time.
Lines extend lookback bars left and right from the current bar, with thickness based on touches.
Zones (if enabled) are drawn symmetrically around the level price.
Labels show detailed info, with opacity tied to strength.
Usage
Add to Chart: Apply the indicator to any TradingView chart via the Pine Script editor, as designed by .
Adjust Settings: Customize inputs to match your trading strategy (e.g., increase strength for stronger pivots, adjust tolerance for tighter level merging).
Interpret Levels: Focus on thicker, less transparent lines for stronger levels; use zones to identify potential reversal areas.
Combine with Other Tools: Pair with trend indicators or oscillators for confluence in trading decisions.
Notes
Performance: The indicator uses arrays and sorting, which may slow down on very long charts with many levels. Keep maxLevels reasonable for efficiency.
Accuracy: Enhanced by trend confirmation and volume weighting, making it more reliable than basic S/R indicators, thanks to 's design.
Limitations: Real-time updates may shift levels as new pivots form; historical levels are more stable.
Example Settings
For day trading: lookback=10, strength=1, tolerance=0.3, maxLevels=5.
For swing trading: lookback=50, strength=3, tolerance=0.7, maxLevels=10.
Credits
Author: – Creator of this advanced support and resistance tool, blending precision and customization for traders.
Market Participation Index [PhenLabs]📊 Market Participation Index
Version: PineScript™ v6
📌 Description
Market Participation Index is a well-evolved statistical oscillator that constantly learns to develop by adapting to changing market behavior through the intricate mathematical modeling process. MPI combines different statistical approaches and Bayes’ probability theory of analysis to provide extensive insight into market participation and building momentum. MPI combines diverse statistical thinking principles of physics and information and marries them for subtle changes to occur in markets, levels to become influential as important price targets, and pattern divergences to unveil before it is visible by analytical methods in an old-fashioned methodology.
🚀 Points of Innovation:
Automatic market condition detection system with intelligent preset selection
Multi-statistical approach combining classical and advanced metrics
Fractal-based divergence system with quality scoring
Adaptive threshold calculation using statistical properties of current market
🚨 Important🚨
The ‘Auto’ mode intelligently selects the optimal preset based on real-time market conditions, if the visualization does not appear to the best of your liking then select the option in parenthesis next to the auto mode on the label in the oscillator in the settings panel.
🔧 Core Components
Statistical Foundation: Multiple statistical measures combined with weighted approach
Market Condition Analysis: Real-time detection of market states (trending, ranging, volatile)
Change Point Detection: Bayesian analysis for finding significant market structure shifts
Divergence System: Fractal-based pattern detection with quality assessment
Adaptive Visualization: Dynamic color schemes with context-appropriate settings
🔥 Key Features
The indicator provides comprehensive market analysis through:
Multi-statistical Oscillator: Combines Z-score, MAD, and fractal dimensions
Advanced Statistical Components: Includes skewness, kurtosis, and entropy analysis
Auto-preset System: Automatically selects optimal settings for current conditions
Fractal Divergence Analysis: Detects and grades quality of divergence patterns
Adaptive Thresholds: Dynamically adjusts overbought/oversold levels
🎨 Visualization
Color-coded Oscillator: Gradient-filled oscillator line showing intensity
Divergence Markings: Clear visualization of bullish and bearish divergences
Threshold Lines: Dynamic or fixed overbought/oversold levels
Preset Information: On-chart display of current market conditions
Multiple Color Schemes: Modern, Classic, Monochrome, and Neon themes
Classic
Modern
Monochrome
Neon
📖 Usage Guidelines
The indicator offers several customization options:
Market Condition Settings:
Preset Mode: Choose between Auto-detection or specific market condition presets
Color Theme: Select visual theme matching your chart style
Divergence Labels: Choose whether or not you’d like to see the divergence
✅ Best Use Cases:
Identify potential market reversals through statistical divergences
Detect changes in market structure before price confirmation
Filter trades based on current market condition (trending vs. ranging)
Find optimal entry and exit points using adaptive thresholds
Monitor shifts in market participation and momentum
⚠️ Limitations
Requires sufficient historical data for accurate statistical analysis
Auto-detection may lag during rapid market condition changes
Advanced statistical calculations have higher computational requirements
Manual preset selection may be required in certain transitional markets
💡 What Makes This Unique
Statistical Depth: Goes beyond traditional indicators with advanced statistical measures
Adaptive Intelligence: Automatically adjusts to current market conditions
Bayesian Analysis: Identifies statistically significant change points in market structure
Multi-factor Approach: Combines multiple statistical dimensions for confirmation
Fractal Divergence System: More robust than traditional divergence detection methods
🔬 How It Works
The indicator processes market data through four main components:
Market Condition Analysis:
Evaluates trend strength, volatility, and price patterns
Automatically selects optimal preset parameters
Adapts sensitivity based on current conditions
Statistical Oscillator:
Combines multiple statistical measures with weights
Normalizes values to consistent scale
Applies adaptive smoothing
Advanced Statistical Analysis:
Calculates higher-order statistical moments
Applies information-theoretic measures
Detects distribution anomalies
Divergence Detection:
Uses fractal theory to identify pivot points
Detects and scores divergence quality
Filters signals based on current market phase
💡 Note:
The Market Participation Index performs optimally when used across multiple timeframes for confirmation. Its statistical foundation makes it particularly valuable during market transitions and periods of changing volatility, where traditional indicators often fail to provide clear signals.
EMA & RSI Trading StrategyIn this strategy EMA 50 crosses EMA 100 from below and the RSI is above 50. It gives us proper buy and short signals. It works better on daily time frame. Back test before applying.
Bollinger Bands MTF & Kalman Filter | Flux Charts📈 Multi-Timeframe Kalman Filtered Bollinger Bands Indicator
Introducing our MTF Kalman Filtered Bollinger Bands – a powerful multi-timeframe Bollinger Bands (BB) indicator enhanced with Kalman filtering for superior smoothing and trend analysis. This indicator dynamically adapts Bollinger Bands across multiple timeframes while incorporating volume-based gradient transparency to highlight significant price movements. This indicator is better optimized for lower timeframes.
❓ How to Interpret the Bands & Volume Gradient:
Our indicator combines Lower Timeframe (LTF) and Higher Timeframe (HTF) Bollinger Bands to provide a comprehensive trend analysis. It applies Kalman filtering to the LTF bands, ensuring smoother, noise-reduced signals. The color gradient and relative volume-based transparency offer deeper insights into price strength.
🔹 LTF Bollinger Bands: Shorter-period bands filtered with a Kalman smoothing algorithm, reducing lag and noise.
🔹 HTF Bollinger Bands: Traditional Bollinger Bands plotted on a higher timeframe, offering macro trend analysis.
🔹 Volume Gradient Transparency: The bands adjust their opacity based on relative buy/sell volume, allowing traders to assess momentum strength.
📌 How Does It Work?
1️⃣ Multi-Timeframe Bollinger Bands Calculation
The LTF BB uses Kalman filtering for a smoother price representation, helping to reduce false signals.
The HTF BB is EMA-smoothed for improved trend clarity.
2️⃣ Adaptive Gradient Transparency
The opacity of the fill color between the bands is determined by relative buy/sell volume.
Higher buy volume = stronger bullish signal (greener bands).
Higher sell volume = stronger bearish signal (redder bands).
3️⃣ Dynamic Trend Signals & Breakouts
Buy Signal: When price breaks below the HTF lower band and LTF bands start rising.
Sell Signal: When price breaks above the HTF upper band and LTF bands start falling.
⚙️ Settings & Customization:
🛠 LTF and HTF Bollinger Bands Settings:
Multiplier: The multiplier applied to the BB to determine the upper and lower bands
Length: Define the number of bars determines the BB calculations.
Custom Timeframe Selection: Choose from predefined options (e.g., 5m, 15m, 1H, 4H, etc).
🎨 Gradient & Transparency Settings:
Bullish/Bearish Color Options: Customize colors for uptrend and downtrend conditions.
Max & Min Opacity: Adjust the transparency levels based on volume intensity.
Solid vs. Gradient Mode: Choose between a gradient fill or a solid color mode for clarity.
📌 Recommended Settings for Optimal Use:
1️⃣ Timeframe Selection (LTF -> HTF):
1 min -> 5 min
2 min -> 5 min
3 min -> 15 min
5 min -> 15 min
15 min -> 1 hr
1 hr -> 4 hr
4 hr -> 1 day
2️⃣ Multiplier: Use 2.0 for LTF and 2.25 for HTF
3️⃣Length: Use a length of 20 - 30 bars
🚀 Why Use This Indicator?
✅ Multi-Timeframe Bollinger Bands with Kalman Filtering – Ideal for traders looking for reduced lag and clearer trend signals.
✅ Volume-Based Transparency – See momentum shifts instantly with adaptive opacity.
✅ Dynamic Buy & Sell Signals – Alerts based on price action + volume trends.
✅ Customizable for Any Strategy – Adjust colors, timeframes, and filtering options for personalized trading.
Correlation Table Small MonitorCorrelation table for small Monitor (separato in 2 Tabelle)
Uno strumento avanzato per l'analisi delle correlazioni in tempo reale
Funzionalità Principali:
1. **Monitoraggio Multi-Asset**
Analizza **32 coppie/strumenti** simultaneamente, includendo:
- Forex maggiori e incroci (EURUSD, GBPJPY, ecc.)
- Materie prime (Oro, Argento, Petrolio WTI e Brent)
- Coppie esotiche (NZDCAD, AUDNZD, ecc.)
2.Correlazione Dinamica
Calcola la correlazione rispetto allo strumento principale visualizzato sul grafico:
- Periodo regolabile (default: 50 candele)
- Formula matematica basata sulla covarianza
- Risultati in percentuale (-100% a +100%)
3. Visualizzazione Intuitiva
- Tabella verticale con codifica colore:
- **Verde**: Correlazione positiva (↑↑)
- **Rosso**: Correlazione negativa (↑↓)
- **Bianco**: Neutralità (-0.1 < correlazione < +0.1)
- Intensità del colore proporzionale alla forza della correlazione
4. Aggiornamento in Tempo Reale
- Dati sincronizzati con il timeframe selezionato
- Posizionamento non invasivo (angolo inferiore destro)
Componenti Tecnici:
- input Personalizzabili:
- Simboli modificabili direttamente dalle impostazioni
- Lunghezza periodo di correlazione regolabile
- Supporto per simboli personalizzati (es. CFD su materie prime)
- Logica di Calcolo:
```pinescript
correlation = covarianza / √(varianza1 * varianza2)
```
- Utilizza SMA per smoothing
- Normalizzazione statistica per risultati comparabili
Use Case Pratici:
1. Diversificazione del Portafoglio
Identifica asset non correlati per ridurre il rischio.
2. Conferma di Trend
Verifica co-movimenti con strumenti correlati (es. EURUSD e GBPUSD).
3. Hedging Strategico
Trova correlazioni inverse per operazioni di copertura (es. Oro vs USD).
4. Analisi Intermarket
Monitora relazioni tra valute e materie prime (es. CAD vs petrolio).
Personalizzazione:
- Aggiungi/rimuovi coppie modificando gli input `pair1`-`pair32`
- Modifica la soglia di neutralità (`neutral_threshold`)
- Regola l'opacità dei colori modificando `intensity`
Limitazioni:
- Dipendente dalla qualità dei dati del broker
- Le correlazioni storiche non garantiscono performance future
Ideale per: Swing trader, portafogli multi-asset, analisti macro. Offre una visione d'insieme rapida delle relazioni di mercato senza bisogno di multipli grafici aperti.
Consiglio:
In time frame inferiori a M15, si consiglia di aumentare i periodi per evitare un rumore statistico eccessivo. (Es. 80 - 100)
Correlation Table 4K Monitor - VerticalEcco una descrizione completa dello strumento creato con questo script Pine:
**Dynamic Correlation Table - Vertical**
*Uno strumento avanzato per l'analisi delle correlazioni in tempo reale su TradingView*
### **Funzionalità Principali:**
1. **Monitoraggio Multi-Asset**
Analizza **32 coppie/strumenti** simultaneamente, includendo:
- Forex maggiori e incroci (EURUSD, GBPJPY, ecc.)
- Materie prime (Oro, Argento, Petrolio WTI e Brent)
- Coppie esotiche (NZDCAD, AUDNZD, ecc.)
2. **Correlazione Dinamica**
Calcola la correlazione rispetto allo strumento principale visualizzato sul grafico:
- Periodo regolabile (default: 50 candele)
- Formula matematica basata sulla covarianza
- Risultati in percentuale (-100% a +100%)
3. **Visualizzazione Intuitiva**
- Tabella verticale con codifica colore:
- **Verde**: Correlazione positiva (↑↑)
- **Rosso**: Correlazione negativa (↑↓)
- **Bianco**: Neutralità (-0.1 < correlazione < +0.1)
- Intensità del colore proporzionale alla forza della correlazione
4. **Aggiornamento in Tempo Reale**
- Dati sincronizzati con il timeframe selezionato
- Posizionamento non invasivo (angolo inferiore destro)
### **Componenti Tecnici:**
- **Input Personalizzabili**:
- Simboli modificabili direttamente dalle impostazioni
- Lunghezza periodo di correlazione regolabile
- Supporto per simboli personalizzati (es. CFD su materie prime)
- **Logica di Calcolo**:
```pinescript
correlation = covarianza / √(varianza1 * varianza2)
```
- Utilizza SMA per smoothing
- Normalizzazione statistica per risultati comparabili
### **Use Case Pratici:**
1. **Diversificazione del Portafoglio**
Identifica asset non correlati per ridurre il rischio.
2. **Conferma di Trend**
Verifica co-movimenti con strumenti correlati (es. EURUSD e GBPUSD).
3. **Hedging Strategico**
Trova correlazioni inverse per operazioni di copertura (es. Oro vs USD).
4. **Analisi Intermarket**
Monitora relazioni tra valute e materie prime (es. CAD vs petrolio).
### **Personalizzazione:**
- Aggiungi/rimuovi coppie modificando gli input `pair1`-`pair32`
- Modifica la soglia di neutralità (`neutral_threshold`)
- Regola l'opacità dei colori modificando `intensity`
### **Limitazioni:**
- Dipendente dalla qualità dei dati del broker
- Non adatto a timeframe inferiori a 15 minuti (rumore statistico)
- Le correlazioni storiche non garantiscono performance future
**Ideale per**: Swing trader, portafogli multi-asset, analisti macro. Offre una visione d'insieme rapida delle relazioni di mercato senza bisogno di multipli grafici aperti.
6 feb
Note di rilascio
Correlation table for 4K Monitor
Uno strumento avanzato per l'analisi delle correlazioni in tempo reale
Funzionalità Principali:
1. **Monitoraggio Multi-Asset**
Analizza **32 coppie/strumenti** simultaneamente, includendo:
- Forex maggiori e incroci (EURUSD, GBPJPY, ecc.)
- Materie prime (Oro, Argento, Petrolio WTI e Brent)
- Coppie esotiche (NZDCAD, AUDNZD, ecc.)
2.Correlazione Dinamica
Calcola la correlazione rispetto allo strumento principale visualizzato sul grafico:
- Periodo regolabile (default: 50 candele)
- Formula matematica basata sulla covarianza
- Risultati in percentuale (-100% a +100%)
3. Visualizzazione Intuitiva
- Tabella verticale con codifica colore:
- **Verde**: Correlazione positiva (↑↑)
- **Rosso**: Correlazione negativa (↑↓)
- **Bianco**: Neutralità (-0.1 < correlazione < +0.1)
- Intensità del colore proporzionale alla forza della correlazione
4. Aggiornamento in Tempo Reale
- Dati sincronizzati con il timeframe selezionato
- Posizionamento non invasivo (angolo inferiore destro)
Componenti Tecnici:
- input Personalizzabili:
- Simboli modificabili direttamente dalle impostazioni
- Lunghezza periodo di correlazione regolabile
- Supporto per simboli personalizzati (es. CFD su materie prime)
- Logica di Calcolo:
```pinescript
correlation = covarianza / √(varianza1 * varianza2)
```
- Utilizza SMA per smoothing
- Normalizzazione statistica per risultati comparabili
Use Case Pratici:
1. Diversificazione del Portafoglio
Identifica asset non correlati per ridurre il rischio.
2. Conferma di Trend
Verifica co-movimenti con strumenti correlati (es. EURUSD e GBPUSD).
3. Hedging Strategico
Trova correlazioni inverse per operazioni di copertura (es. Oro vs USD).
4. Analisi Intermarket
Monitora relazioni tra valute e materie prime (es. CAD vs petrolio).
Personalizzazione:
- Aggiungi/rimuovi coppie modificando gli input `pair1`-`pair32`
- Modifica la soglia di neutralità (`neutral_threshold`)
- Regola l'opacità dei colori modificando `intensity`
Limitazioni:
- Dipendente dalla qualità dei dati del broker
- Le correlazioni storiche non garantiscono performance future
Ideale per: Swing trader, portafogli multi-asset, analisti macro. Offre una visione d'insieme rapida delle relazioni di mercato senza bisogno di multipli grafici aperti.
Consiglio:
In time frame inferiori a M15, si consiglia di aumentare i periodi per evitare un rumore statistico eccessivo. (Es. 80 - 100)
Multi Asset Similarity MatrixProvides a unique and visually stunning way to analyze the similarity between various stock market indices. This script uses a range of mathematical measures to calculate the correlation between different assets, such as indices, forex, crypto, etc..
Key Features:
Similarity Measures: The script offers a range of similarity measures to choose from, including SSD (Sum of Squared Differences), Euclidean Distance, Manhattan Distance, Minkowski Distance, Chebyshev Distance, Correlation Coefficient, Cosine Similarity, Camberra Index, Mean Absolute Error (MAE), Mean Squared Error (MSE), Lorentzian Function, Intersection, and Penrose Shape.
Asset Selection: Users can select the assets they want to analyze by entering a comma-separated list of tickers in the "Asset List" input field.
Color Gradient: The script uses a color gradient to represent the similarity values between each pair of indices, with red indicating low similarity and blue indicating high similarity.
How it Works:
The script calculates the source method (Returns or Volume Modified Returns) for each index using the sec function.
It then creates a matrix to hold the current values of each index over a specified window size (default is 10).
For each pair of indices, it applies the selected similarity measure using the select function and stores the result in a separate matrix.
The script calculates the maximum and minimum values of the similarity matrix to normalize the color gradient.
Finally, it creates a table with the index names as rows and columns, displaying the similarity values for each pair of indices using the calculated colors.
Visual Insights:
The indicator provides an intuitive way to visualize the relationships between different assets. By analyzing the color-coded tables, traders can gain insights into:
Which assets are highly correlated (blue) or uncorrelated (red)
The strength and direction of these correlations
Potential trading opportunities based on similarities and differences between assets
Overall, MASM is a powerful tool for market analysis and visualization, offering a unique perspective on the relationships between various assets.
~llama3
Günlük Alış ve Satış Sinyalleri (5 Günlük ve 22 Günlük)//@version=6
indicator('Günlük Alış ve Satış Sinyalleri (5 Günlük ve 22 Günlük)', overlay = true)
// 5 günlük ve 22 günlük hareketli ortalamaların hesaplanması
sma5 = ta.sma(close, 5) // 5 günlük SMA
sma22 = ta.sma(close, 22) // 22 günlük SMA
// Alış ve satış sinyalleri
longCondition = ta.crossover(sma5, sma22) // 5 günlük SMA'nın 22 günlük SMA'yı yukarıdan kesmesi
shortCondition = ta.crossunder(sma5, sma22) // 5 günlük SMA'nın 22 günlük SMA'yı aşağıdan kesmesi
// Sinyalleri grafikte gösterme
plotshape(longCondition, style = shape.labelup, location = location.belowbar, color = color.green, size = size.small, text = 'AL', offset = -1)
plotshape(shortCondition, style = shape.labeldown, location = location.abovebar, color = color.red, size = size.small, text = 'SAT', offset = -1)
// Hareketli ortalamaların grafikte gösterimi
plot(sma5, color = color.orange, title = '5 Günlük SMA', linewidth = 2)
plot(sma22, color = color.blue, title = '22 Günlük SMA', linewidth = 2)
// Fiyattan uzaklığı görselleştirmek için SMA'lar arası mesafenin gösterilmesi
fill(plot(sma5, color = color.orange, title = '5 Günlük SMA'), plot(sma22, color = color.blue, title = '22 Günlük SMA'), color = color.new(color.gray, 90), title = 'SMA Alanı')
Order Blocks-[B.Balaei]Order Blocks -
**Description:**
The Order Blocks - indicator is a powerful tool designed to identify and visualize Order Blocks on your chart. Order Blocks are key levels where significant buying or selling activity has occurred, often acting as support or resistance zones. This indicator supports multiple timeframes (MTF), allowing you to analyze Order Blocks from higher timeframes directly on your current chart.
**Key Features:**
1. **Multi-Timeframe Support**: Choose any timeframe (e.g., Daily, Weekly) to display Order Blocks from higher timeframes.
2. **Customizable Sensitivity**: Adjust the sensitivity to detect more or fewer Order Blocks based on market conditions.
3. **Bullish & Bearish Order Blocks**: Clearly distinguishes between bullish (green) and bearish (red) Order Blocks.
4. **Alerts**: Get notified when price enters a Bullish or Bearish Order Block zone.
5. **Customizable Colors**: Personalize the appearance of Order Blocks to match your chart style.
**How to Use:**
1. Add the indicator to your chart.
2. Select your desired timeframe from the "Multi-Timeframe" settings.
3. Adjust the sensitivity and colors as needed.
4. Watch for Order Blocks to form and use them as potential support/resistance levels.
**Ideal For:**
- Swing traders and position traders looking for key levels.
- Traders who use multi-timeframe analysis.
- Anyone interested in understanding market structure through Order Blocks.
**Note:**
This indicator is for educational and informational purposes only. Always conduct your own analysis before making trading decisions.
**Enjoy trading with Order Blocks - !**
Pearson Correlation Best MA [victhoreb]Pearson Correlation Best MA is an innovative indicator designed to dynamically select the moving average that best aligns with price action based on the Pearson correlation coefficient. Here’s what it does:
- Multiple MA Evaluation: The indicator computes eight different moving averages — SMA, EMA, DEMA, TEMA, LSMA, RMA, WMA, and VWMA — using a user-defined period.
- Correlation Analysis: For each moving average, it calculates the Pearson correlation with the price (using the average of high and low) over a specified correlation length, then identifies the one with the highest correlation.
- Optional Smoothing: Users can opt to further smooth the selected best moving average for an even more refined signal.
- Visual Cues: The indicator plots the “Best MA” on the chart, colors it based on its direction (bullish or bearish), and also displays the correlation value. Additionally, it can color the price candles to reflect the trend indicated by the best moving average.
- Customizability: All key parameters such as moving average length, correlation length, smoothing options, and color settings are fully customizable.
This tool helps traders by automatically adapting to market conditions—highlighting the moving average that is most in sync with current price trends, potentially improving trade timing and decision-making.
Candle Trend ConfirmationCandle Trend Confirmation Indicator
The "Candle Trend Confirmation" indicator This indicator leverages an Exponential Moving Average (EMA) to visually confirm market trends through dynamic coloring of the EMA line, a shading effect, and candle color changes. It aims to help traders quickly identify strong trends and consolidation phases, enhancing decision-making in various market conditions.
Key Features
Customizable EMA Period:
Traders can adjust the EMA period via an input parameter, with a default setting of 20 periods. This flexibility allows the indicator to adapt to different timeframes and trading strategies.
Pip Threshold for Trend Strength:
A user-defined pip threshold (default set to 0.02) determines the distance from the EMA required to classify a trend as "strong." This parameter can be fine-tuned to suit specific instruments, such as forex pairs, cryptocurrencies, or stocks, where pip values may differ.
Trend Detection Logic:
Strong Uptrend: The closing price must be above the EMA by at least the pip threshold (e.g., 2 pips) and show consistent upward movement over the last three bars (current close > previous close > close two bars ago).
Strong Downtrend: The closing price must be below the EMA by at least the pip threshold and exhibit consistent downward movement over the last three bars.
Consolidation: Any price action that doesn’t meet the strong trend criteria is classified as a consolidation phase.
Dynamic Coloring:
EMA Line: Displayed using the line.new function, the EMA changes color based on trend conditions: green for a strong uptrend, red for a strong downtrend, and purple for consolidation. The line is drawn only for the most recent bar to maintain chart clarity.
Candles: Candlestick colors mirror the trend state—green for strong uptrends, red for strong downtrends, and purple for consolidation—using the barcolor function, providing an immediate visual cue.
Shading Effect: Two dashed lines are drawn above and below the EMA (at half the pip threshold distance) to create a subtle shading zone. These lines adopt a semi-transparent version of the EMA’s color, enhancing the visual representation of the trend’s strength.
How It Works
The indicator calculates the EMA based on the closing price and compares the current price to this average. By incorporating a pip-based threshold and a three-bar confirmation, it filters out noise and highlights only significant trend movements. The use of line.new instead of plot ensures compatibility with certain TradingView environments and offers a lightweight way to render the EMA and shading lines on the chart.
Usage
Trend Identification: Green signals a strong bullish trend, ideal for potential long entries; red indicates a strong bearish trend, suitable for short opportunities; purple suggests a range-bound market, where caution or range-trading strategies may apply.
Customization: Adjust the EMA period and pip threshold in the indicator settings to match your trading style or the volatility of your chosen market. For example, forex traders might set the threshold to 0.0002 for 2 pips on EUR/USD, while crypto traders might use 2.0 for BTC/USD.
Visual Clarity: The combination of EMA coloring, shading, and candle highlights provides a comprehensive view of market dynamics at a glance.
Trend SCANThe visually important moving averages EMA5, EMA20, EMA144 and EMA169 are seen on the indicator.
However, the main purpose of the indicator is to combine the changes in the rsi, ema, volume, momentum and cci data on the stock and to display them in a label on the chart with a formula aimed at determining the stocks that are in an uptrend.
The group that the stock group is desired to be scanned from the indicator settings is selected and the scanning process is instantly visible on the label in the chart period or in the time interval selected outside the chart period.
The stock groups are grouped as BIST50, BIST100, Yildiz Pazar and Main Pazar. But these can be selected as desired.
Non-Repainting Renko Emulation Strategy [PineIndicators]Introduction: The Repainting Problem in Renko Strategies
Renko charts are widely used in technical analysis for their ability to filter out market noise and emphasize price trends. Unlike traditional candlestick charts, which are based on fixed time intervals, Renko charts construct bricks only when price moves by a predefined amount. This makes them useful for trend identification while reducing small fluctuations.
However, Renko-based trading strategies often fail in live trading due to a fundamental issue: repainting .
Why Do Renko Strategies Repaint?
Most trading platforms, including TradingView, generate Renko charts retrospectively based on historical price data. This leads to the following issues:
Renko bricks can change or disappear when new data arrives.
Backtesting results do not reflect real market conditions. Strategies may appear highly profitable in backtests because historical data is recalculated with hindsight.
Live trading produces different results than backtesting. Traders cannot know in advance whether a new Renko brick will form until price moves far enough.
Objective of the Renko Emulator
This script simulates Renko behavior on a standard time-based chart without repainting. Instead of using TradingView’s built-in Renko charting, which recalculates past bricks, this approach ensures that once a Renko brick is formed, it remains unchanged .
Key benefits:
No past bricks are recalculated or removed.
Trading strategies can execute reliably without false signals.
Renko-based logic can be applied on a time-based chart.
How the Renko Emulator Works
1. Parameter Configuration & Initialization
The script defines key user inputs and variables:
brickSize : Defines the Renko brick size in price points, adjustable by the user.
renkoPrice : Stores the closing price of the last completed Renko brick.
prevRenkoPrice : Stores the price level of the previous Renko brick.
brickDir : Tracks the direction of Renko bricks (1 = up, -1 = down).
newBrick : A boolean flag that indicates whether a new Renko brick has been formed.
brickStart : Stores the bar index at which the current Renko brick started.
2. Identifying Renko Brick Formation Without Repainting
To ensure that the strategy does not repaint, Renko calculations are performed only on confirmed bars.
The script calculates the difference between the current price and the last Renko brick level.
If the absolute price difference meets or exceeds the brick size, a new Renko brick is formed.
The new Renko price level is updated based on the number of bricks that would fit within the price movement.
The direction (brickDir) is updated , and a flag ( newBrick ) is set to indicate that a new brick has been formed.
3. Visualizing Renko Bricks on a Time-Based Chart
Since TradingView does not support live Renko charts without repainting, the script uses graphical elements to draw Renko-style bricks on a standard chart.
Each time a new Renko brick forms, a colored rectangle (box) is drawn:
Green boxes → Represent bullish Renko bricks.
Red boxes → Represent bearish Renko bricks.
This allows traders to see Renko-like formations on a time-based chart, while ensuring that past bricks do not change.
Trading Strategy Implementation
Since the Renko emulator provides a stable price structure, it is possible to apply a consistent trading strategy that would otherwise fail on a traditional Renko chart.
1. Entry Conditions
A long trade is entered when:
The previous Renko brick was bearish .
The new Renko brick confirms an upward trend .
There is no existing long position .
A short trade is entered when:
The previous Renko brick was bullish .
The new Renko brick confirms a downward trend .
There is no existing short position .
2. Exit Conditions
Trades are closed when a trend reversal is detected:
Long trades are closed when a new bearish brick forms.
Short trades are closed when a new bullish brick forms.
Key Characteristics of This Approach
1. No Historical Recalculation
Once a Renko brick forms, it remains fixed and does not change.
Past price action does not shift based on future data.
2. Trading Strategies Operate Consistently
Since the Renko structure is stable, strategies can execute without unexpected changes in signals.
Live trading results align more closely with backtesting performance.
3. Allows Renko Analysis Without Switching Chart Types
Traders can apply Renko logic without leaving a standard time-based chart.
This enables integration with indicators that normally cannot be used on traditional Renko charts.
Considerations When Using This Strategy
Trade execution may be delayed compared to standard Renko charts. Since new bricks are only confirmed on closed bars, entries may occur slightly later.
Brick size selection is important. A smaller brickSize results in more frequent trades, while a larger brickSize reduces signals.
Conclusion
This Renko Emulation Strategy provides a method for using Renko-based trading strategies on a time-based chart without repainting. By ensuring that bricks do not change once formed, it allows traders to use stable Renko logic while avoiding the issues associated with traditional Renko charts.
This approach enables accurate backtesting and reliable live execution, making it suitable for trend-following and swing trading strategies that rely on Renko price action.
TrendPredator FOTrendPredator Fakeout Highlighter (FO)
The TrendPredator Fakeout Highlighter is designed to enhance multi-timeframe trend analysis by identifying key market behaviors that indicate trend strength, weakness, and potential reversals. Inspired by Stacey Burke’s trading approach, this tool focuses on trend-following, momentum shifts, and trader traps, helping traders capitalize on high-probability setups.
At its core, this indicator highlights peak formations—anchor points where price often locks in trapped traders before making decisive moves. These principles align with George Douglas Taylor’s 3-day cycle and Steve Mauro’s BTMM method, making the FO Highlighter a powerful tool for reading market structure. As markets are fractal, this analysis works on any timeframe.
How It Works
The TrendPredator FO highlights key price action signals by coloring candles based on their bias state on the current timeframe.
It tracks four major elements:
Breakout/Breakdown Bars – Did the candle close in a breakout or breakdown relative to the last candle?
Fakeout Bars (Trend Close) – Did the candle break a prior high/low and close back inside, but still in line with the trend?
Fakeout Bars (Counter-Trend Close) – Did the candle break a prior high/low, close back inside, and against the trend?
Switch Bars – Did the candle lose/ reclaim the breakout/down level of the last bar that closed in breakout/down, signalling a possible trend shift?
Reading the Trend with TrendPredator FO
The annotations in this example are added manually for illustration.
- Breakouts → Strong Trend
Multiple candles closing in breakout signal a healthy and strong trend.
- Fakeouts (Trend Close) → First Signs of Weakness
Candles that break out but close back inside suggest a potential slowdown—especially near key levels.
- Fakeouts (Counter-Trend Close) → Stronger Reversal Signal
Closing against the trend strengthens the reversal signal.
- Switch Bars → Momentum Shift
A shift in trend is confirmed when price crosses back through the last closed breakout candles breakout level, trapping traders and fuelling a move in the opposite direction.
- Breakdowns → Trend Reversal Confirmed
Once price breaks away from the peak formation, closing in breakdown, the trend shift is validated.
Customization & Settings
- Toggle individual candle types on/off
- Customize colors for each signal
- Set the number of historical candles displayed
Example Use Cases
1. Weekly Template Analysis
The weekly template is a core concept in Stacey Burke’s trading style. FO highlights individual candle states. With this the state of the trend and the developing weekly template can be evaluated precisely. The analysis is done on the daily timeframe and we are looking especially for overextended situations within a week, after multiple breakouts and for peak formations signalling potential reversals. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration.
📈 Example: Weekly Template Analysis snapshot on daily timeframe
2. High Timeframe 5-Star Setup Analysis (Stacey Burke "ain't coming back" ACB Template)
This analysis identifies high-probability trade opportunities when daily breakout or down closes occur near key monthly levels mid-week, signalling overextensions and potentially large parabolic moves. Key signals for this are breakout or down closes occurring on a Wednesday. This is helpful for thesis generation before a session and also for backtesting. The annotations in this example are added manually for illustration. Also an indicator can bee seen on this chart shading every Wednesday to identify the signal.
📉 Example: High Timeframe Setup snapshot
3. Low Timeframe Entry Confirmation
FO helps confirm entry signals after a setup is identified, allowing traders to time their entries and exits more precisely. For this the highlighted Switch and/ or Fakeout bars can be highly valuable.
📊 Example (M15 Entry & Exit): Entry and Exit Confirmation snapshot
📊 Example (M5 Scale-In Strategy): Scaling Entries snapshot
The annotations in this examples are added manually for illustration.
Disclaimer
This indicator is for educational purposes only and does not guarantee profits.
None of the information provided shall be considered financial advice.
Users are fully responsible for their trading decisions and outcomes.
Triangular Hull Moving Average + Volatility [BigBeluga]This indicator combines the Triangular Hull Moving Average (THMA) with a volatility overlay to provide a smoother trend-following tool while dynamically visualizing market volatility.
🔵 Key Features:
THMA-Based Trend Detection: The indicator applies a Triangular Hull Moving Average (THMA) to smooth price data, reducing lag while maintaining responsiveness to trend changes.
// THMA
thma(_src, _length) =>
ta.wma(ta.wma(_src,_length / 3) * 3 - ta.wma(_src, _length / 2) - ta.wma(_src, _length), _length)
Dynamic Volatility Bands: When enabled, the indicator displays wicks extending from the THMA-based candles. These bands expand and contract based on price volatility.
Trend Reversal Signals The indicator marks trend shifts using triangle-shaped signals:
- Upward triangles appear when the THMA trend shifts to bullish.
- Downward triangles appear when the THMA trend shifts to bearish.
Customizable Settings: Users can adjust the THMA length, volatility calculation period, and colors for up/down trends to fit their trading style.
Informative Dashboard: The bottom-right corner displays the current trend direction and volatility percentage, helping traders quickly assess market conditions.
🔵 Usage:
Trend Trading: The colored candles indicate whether the market is trending up or down. Traders can follow the trend direction and use trend reversals for entry or exit points.
Volatility Monitoring: When the volatility feature is enabled, the expanding or contracting wicks help visualize market momentum and potential breakout strength.
Signal Confirmation: The triangle signals can be used to confirm potential entry points when the trend shifts.
This tool is ideal for traders who want a responsive moving average with volatility insights to enhance their trend-following strategies.
