อินดิเคเตอร์และกลยุทธ์
Volatility with Sigma BandsOverview
The Volatility Analysis with Sigma Bands indicator is a powerful and flexible tool designed for traders who want to gain deeper insights into market price fluctuations. It calculates historical volatility within a user-defined time range and displays ±1σ, ±2σ, and ±3σ standard deviation bands, helping traders identify potential support, resistance levels, and extreme price behaviors.
Key Features
Multiple Volatility Band Displays:
±1σ Range (Yellow line): Covers approximately 68% of price fluctuations.
±2σ Range (Blue line): Covers approximately 95% of price fluctuations.
±3σ Range (Fuchsia line): Covers approximately 99% of price fluctuations.
Dynamic Probability Mode:
Toggle between standard normal distribution probabilities (68.2%, 95.4%, 99.7%) and actual historical probability calculations, allowing for more accurate analysis tailored to varying market conditions.
Highly Customizable Label Display:
The label shows:
Real-time volatility
Annualized volatility
Current price
Price ranges for each σ level
Users can adjust the label’s position and horizontal offset to prevent it from overlapping key price areas.
Real-Time Calculation & Visualization:
The indicator updates in real-time based on the selected time range and current market data, making it suitable for day trading, swing trading, and long-term trend analysis.
Use Cases
Risk Management:
Understand the distribution probabilities of price within different standard deviation bands to set more effective stop-loss and take-profit levels.
Trend Confirmation:
Determine trend strength or spot potential reversals by observing whether the price breaks above or below ±1σ or ±2σ ranges.
Market Sentiment Analysis:
Price movement beyond the ±3σ range often indicates extreme market sentiment, providing potential reversal opportunities.
Backtesting and Historical Analysis:
Utilize the customizable time range feature to backtest volatility during various periods, providing valuable insights for strategy refinement.
The Volatility Analysis with Sigma Bands indicator is an essential tool for traders seeking to understand market volatility patterns. Whether you're a day trader looking for precise entry and exit points or a long-term investor analyzing market behavior, this indicator provides deep insights into volatility dynamics, helping you make more confident trading decisions.
Dashboard Table by KGHow It Works
The script calculates the required indicators (RSI, Volatility, Volume Average, Momentum).
It creates a table at the user-specified position with the specified text size.
The table is populated with the indicator values, and conditional formatting is applied based on predefined conditions.
The dashboard can be toggled on or off using the dashboard input.
Customization
Position: The user can choose where the table appears on the chart (e.g., Top-Left, Bottom-Right).
Text Size: The user can adjust the text size for better readability.
Indicators: The script can be extended to include additional indicators by modifying the calculations and adding more rows to the table.
Example Use Case
One can use this dashboard to quickly monitor key metrics like RSI, Volatility, Volume, and Momentum without cluttering the chart with multiple indicators.
The conditional formatting helps identify bullish or bearish conditions at a glance.Do your own research along with other indicators.
GMMA Long-Short SignalIntroduction
This indicator is based on multiple EMA (Exponential Moving Average) constructions, aiming to identify buy and sell signals in the market. It calculates different periods of EMA lines and generates trading signals based on the relationship between prices and these EMA lines. This indicator is suitable for the TradingView platform and supports real-time alerts and chart drawing.
Indicator Composition
EMA Lines
This indicator calculates the following periods of EMA lines:
Short-term EMA lines: 3, 5, 8, 10, 12, 15
Medium-term EMA lines: 30, 35, 40, 45, 50, 60
Long-term EMA lines: 120, 140, 160, 180, 200, 240
These EMA lines are drawn on the chart with different colors and line widths, making it convenient for users to observe.
Trading Signals
The indicator generates four types of trading signals:
Buy Signal 1 (Buy 1): Triggered when the price meets the conditions of the short-term EMA line and the K-line is a bullish line.
Buy Signal 2 (Buy 2): Triggered when the price meets the conditions of the medium-term EMA line and the K-line is a bullish line.
Buy Signal 2 (Buy 3): Triggered when the price meets the conditions of the long-term EMA line and the K-line is a bullish line.
Sell Signal 1 (Sell 1): Triggered when the price meets the conditions of the short-term EMA line and the K-line is a bearish line.
Sell Signal 2 (Sell 2): Triggered when the price meets the conditions of the medium-term EMA line and the K-line is a bearish line.
Sell Signal 2 (Sell 2): Triggered when the price meets the conditions of the long-term EMA line and the K-line is a bearish line.
My usage method
I tend to rely on buy and sell signals 1 and 2.
Signal 3 is slightly lagging when it appears under normal circumstances, and entering at this time requires taking on greater risk, but it can be used as a reference for partial profit-taking.
I speculate that signal 3 may be credible when trading in highly volatile crazy stocks(WSB, meme...etc), as their prices fluctuate greatly (this speculation has not been verified by me, please judge for yourself).
The short, medium, and long-term EMMA indicators can mutually serve as support or resistance levels, and I personally prefer to use the long-term (red) EMMA as the final resistance or support.
If you find that signals appear frequently and buy and sell signals intersect, it usually means that the market is in a consolidation phase (box adjustment). At this time, you can either wait patiently for a candlestick that can break through the box to make a decision, or you can switch to a higher time-level candlestick chart, such as when multiple signals appear continuously on the 5-minute chart, switch to the 15-minute chart.
The above is my insight into using this indicator, and if you have a better strategy, you are welcome to leave a message. I will update the indicator according to the situation.
Wish we can all harvest rich profits!!!!!
GM+For a Short Trade:
When a bullish candle (close > open) is larger than the previous candle and the MACD histogram for the past three bars is consecutively lower (suggesting weakening upward momentum), the script enters a short position.
For a Long Trade:
When a bearish candle (close < open) is larger (in body size) than the previous candle and the MACD histogram for the past three bars is consecutively higher (suggesting the downward move is losing strength), the script enters a long position.
Position Management:
There are no stop loss or take profit levels. The position is closed only when an opposite signal appears.
heikinashi Doji Candlesjust hekinashi Doji Candle and bullish candle / bearish candle plot
A bullish candle with a long upper wick is shown in green (indicating strength), while a bearish candle with a long lower wick is shown in red (indicating weakness). By default, this option is unchecked.
Previous candle break and close above bodyThis is a candlestick pattern indicator that tell you previous candle break and closing above the candle. It's mean if the price goes down and grab liquidity from previous candles low and go back to buying zone
Multi-Timeframe VWMA chartThis "Multi-Timeframe VWMA Indicator" is a powerful tool for traders seeking to analyze price action across multiple timeframes using the Volume Weighted Moving Average (VWMA). Built in Pine Script v6, it overlays a customizable VWMA on your chart while displaying a table that tracks how your chosen price source (e.g., close, open, high, low) interacts with the VWMA across eight timeframes: 1m, 3m, 5m, 15m, 1h, 4h, 1d, and 1w.
Key features include adjustable inputs: select your price source, set the VWMA length (default 20), pick the line color (default blue), adjust line width (default 2), and apply an offset (default 0, range -500 to 500) to shift the VWMA for precise alignment. The VWMA is plotted on the current chart timeframe, scaling naturally with price due to the overlay setting.
The table, positioned top-right, shows each timeframe’s status: an upward arrow (↑, green) if the source is above the VWMA, indicating bullish momentum, or a downward arrow (↓, red) if below, suggesting bearish pressure. Using request.security, it fetches data efficiently, making it ideal for multi-timeframe analysis. Perfect for traders wanting a clear, customizable view of VWMA-based trends.
DataDoodles SD + ProbabilityDataDoodles SD + Probability
Overview:
The “DataDoodles SD + Probability” indicator is designed to provide traders with a statistical edge by leveraging standard deviation and probability metrics. This advanced tool calculates the annualized standard deviation, Z-score, and probability of price movements, offering insights into potential market direction with customizable alert thresholds.
Key Features:
1. Annualized Standard Deviation (Volatility) Calculation:
• Uses a user-defined period to compute the rolling standard deviation of daily returns.
• Annualizes the volatility, giving a clear picture of expected price fluctuations.
2. Probability of Price Movement:
• Calculates the probability of price moving up or down using a corrected Z-Score.
• Displays the probability percentage for both upward and downward movements.
3. Dynamic Alerts:
• Configurable alerts for upward and downward price movement probabilities.
• Receive alerts when the probability exceeds user-defined thresholds.
4. Projections and Visuals:
• Plots projected high and low price levels based on annualized volatility.
• Displays Z-Score and probability metrics on the chart for quick reference.
5. Comprehensive Data Table:
• Bottom-center table displays key metrics:
• Daily Return
• Standard Deviation (SD)
• Annualized Standard Deviation (Yearly SD)
User Inputs:
• Annualization Period: Set the time frame for volatility annualization (Default: 252 days).
• SD Period: Define the rolling window for calculating standard deviation (Default: 252 days).
• Alert Probability Up/Down: Customize the probability thresholds for alerts (Default: 90%).
How It Works:
• Data Request and Calculation:
• Uses daily close prices to ensure consistent timeframe calculations.
• Calculates daily returns and annualizes the volatility using the square root of the time frame.
• Probability Computation:
• Employs a normal distribution CDF approximation to compute the probability of upward and downward price movements.
• Adjusts probabilities based on Z-Score to ensure accuracy.
• High and Low Projections:
• Utilizes the annualized volatility to estimate high and low price projections for the year.
• Visual Indicators and Alerts:
• Plots projected high (green) and low (red) levels on the chart.
• Displays Z-Score, probability percentages, and dynamically updates a statistics table.
Use Cases:
• Trend Analysis: Identify high-probability market movements using the probability metrics.
• Volatility Insights: Understand annualized volatility to gauge market risk and potential price ranges.
• Strategic Trading Decisions: Set alerts for high-probability scenarios to optimize entry and exit points.
Why Use “DataDoodles SD + Probability”?
This indicator provides a powerful combination of statistical analysis and visual representation. It empowers traders with:
• Quantitative Edge: By leveraging probability metrics and standard deviation, users can make informed trading decisions.
• Risk Management: Annualized volatility projections help in setting realistic stop-loss and take-profit levels.
• Actionable Alerts: Customizable probability alerts ensure users are notified of potential market moves, allowing proactive trading strategies.
Recommended Settings:
• Annualization Period: 252 (Ideal for daily data representing a trading year)
• SD Period: 252 (One trading year for consistent volatility calculations)
• Alert Probability: Set to 90% for conservative signals or lower for more frequent alerts.
Final Thoughts:
The “DataDoodles SD + Probability” indicator is a robust tool for traders looking to integrate statistical analysis into their trading strategies. It combines volatility measurement, probability calculations, and dynamic alerts to provide a comprehensive market overview.
Whether you’re a day trader or a long-term investor, this indicator can enhance your market insight and improve decision-making accuracy.
Disclaimer:
This indicator is a technical analysis tool designed for educational purposes. Past performance is not indicative of future results. Traders are encouraged to perform their own analysis and manage risk accordingly.
BSORBTC/SOL Oscillator Ratio
(tested data was at 4 hour intervals)
Above 0.5: The BTC/SOL ratio is increasing (BTC outpacing SOL). From our analysis, SOL rose only 37.4% of the time after this (34/91 cases), so it’s more likely to fall in the next 4 hour window.
Below 0.5: The ratio is decreasing (SOL outpacing BTC). SOL rose 81.9% of the time after this (149/182 cases), suggesting a likely SOL increase in next 4 hour window.
Near 0.5: Ratio stable, SOL’s direction less clear (48% up in our data).
Mean Reversion Channel - MRI Variant V6V6 from @fareidzulkifli
Description :
// Mean Reversion Channel objective, based on Mean Reversion theory (everything has a tendency to revert back to its mean), is to help visualizing:
// Inner Channel -> Dynamic Support and Resistance
// Outer Channel -> Overbought/Oversold Zone which may signal consolidation phase or potential reversal due to unsustainable move
// The concept of this indicator oriiginally derived from Keltner Channel (The Keltner Channel was first introduced by Chester Keltner in the 1960s. The original formula used simple moving averages (SMA) and the high-low price range to calculate the bands. In the 1980s, a new formula was introduced that used ATR.)
// Instead if using SMA/EMA, this indicator used SuperSmoother MA as it's mean with longer lookback period (default to 200) to get more stable channel line. i also added second level so the indicator will have inner and outer channel
// Details of each filtering type used for mean calculation can be read in Ehlers Technical Papers: "Swiss Army Knife Indicator" and/or his book "Cybernetics Analysis for Stock and Futures"
JF Crypto Scanner JF BETA📌 Descripción General
Crypto Scanner con Tabla es un indicador avanzado de análisis multi-activo que permite a los traders monitorear hasta 20 activos simultáneamente en una tabla interactiva. Utiliza la combinación de TRAMA (Adaptive Moving Trend) y Trendlines Automáticas para identificar tendencias y detectar rupturas clave en el mercado.
Este indicador resume un grupo de argumentos que se usan con el fin de ejecutar una estrategia, no es un indicador de señales sino de seguimiento.
El indicador muestra información clave de cada activo en una tabla visual, proporcionando:
✔️ Precio actual del activo
✔️ Condición de la tendencia (Alcista/Bajista)
✔️ Detección de rupturas de líneas de tendencia
✔️ Señales de entrada en LONG o SHORT
Este scanner es ideal para traders de criptomonedas y otros mercados que desean analizar múltiples activos en un solo gráfico sin cambiar constantemente de ventana .
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📊 ¿Cómo Funciona?
El indicador combina tres metodologías principales para proporcionar un análisis detallado:
1️⃣ TRAMA (Tendencia Adaptativa Móvil de Ruido)
- Un indicador de tendencia dinámico que suaviza los movimientos del precio.
- Si el precio está por encima de la TRAMA, se genera una señal alcista (▲) .
- Si el precio está por debajo, se genera una señal bajista (▼) .
2️⃣ Trendlines Automáticas (Líneas de Tendencia)
- Detecta puntos de pivote clave y genera líneas de tendencia dinámicas.
- Identifica si el activo ha realizado una ruptura alcista o bajista .
3️⃣ Rupturas de Trendlines (Breakouts)
- Si el precio rompe una línea de tendencia superior , se considera un breakout alcista (Bullish) .
- Si el precio rompe una línea de tendencia inferior , se considera un breakout bajista (Bearish) .
- Estas rupturas son clave para detectar posibles entradas en el mercado.
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📋 ¿Cómo Leer la Tabla del Scanner?
El indicador muestra una tabla con 5 columnas clave para cada activo:
🔹 Activo: Muestra el símbolo del activo analizado.
🔹 Precio: Último precio de cierre del activo.
🔹 Condición: Indica si el precio está sobre o bajo la TRAMA (▲/▼).
🔹 Señal: Indica si hay una posible entrada en LONG (verde) o SHORT (rojo) .
🔹 Ruptura TL: Muestra si el precio ha roto una línea de tendencia ( Bullish⬆️ o Bearish⬇️ ).
📌 Ejemplo:
| Activo | Precio | Condición | Señal | Ruptura TL |
|--------|--------|------------|------------|------------|
| BTCUSDT | 50,200 | ▲ (Verde) | LONG | ⬆️ Bullish |
| ETHUSDT | 3,700 | ▼ (Rojo) | Neutral | None |
| ADAUSDT | 1.50 | ▼ (Rojo) | SHORT | ⬇️ Bearish |
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⚙️ Configuración del Indicador
El usuario puede personalizar:
✅ Número de activos a analizar (hasta 20).
✅ Ubicación de la tabla en el gráfico .
✅ Aspectos visuales de la tabla y los colores de las señales .
🚀 Importante: Este indicador no permite modificar los cálculos internos, garantizando la consistencia de las señales en cada análisis.
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⚠️ Consideraciones y Advertencias
⚠️ Este indicador NO ejecuta órdenes automáticamente . Es una herramienta de análisis y debe ser utilizada junto con una estrategia de gestión de riesgos.
⚠️ No garantiza rentabilidad: Las señales deben ser confirmadas con análisis técnico adicional.
⚠️ Cumple con las reglas de TradingView: No utiliza gráficos prohibidos ni información engañosa.
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🎯 Conclusión
Crypto Scanner con Tabla (TRAMA + Trendlines) es una herramienta versátil y poderosa que permite analizar múltiples activos en tiempo real. Su combinación de TRAMA, trendlines automáticas y detección de rupturas lo convierte en un scanner ideal para traders que buscan oportunidades de trading en mercados dinámicos.
🔥 Úsalo para optimizar tu análisis y encontrar oportunidades de trading con mayor precisión! 🚀📊
Gaussian Channel + Stochastic RSI FilterFeatures
Gaussian Channel:
Uses a Gaussian filter to calculate the midline.
Calculates upper and lower bands based on a multiplier of the midline.
Stochastic RSI:
Filters trades by confirming oversold/overbought conditions.
Incorporates smoothing for %K and %D lines.
Entry/Exit Logic:
Long entries occur when the price crosses above the lower Gaussian band and Stochastic RSI is oversold.
Short entries occur when the price crosses below the upper Gaussian band and Stochastic RSI is overbought.
Exits are triggered when the price crosses the Gaussian midline or the Stochastic RSI reaches opposing levels.
BANKNIFTY Market Overview Table with Percentage ChangesTrack heavyweights of Banknifty, Inida VIX and Asian Markets
pruebGPTnubecurce medias moviles, utiliza una media movil exponencia y a dicha media se le calcula una suavizada, para dar señales de entrada en el mercado, funciona para diferentes tipos de activos.
BTC/SOL Ratio Oscillator(tested data was at 4 hour intervals)
Above 0.5: The BTC/SOL ratio is increasing (BTC outpacing SOL). From our analysis, SOL rose only 37.4% of the time after this (34/91 cases), so it’s less predictive here.
Below 0.5: The ratio is decreasing (SOL outpacing BTC). SOL rose 81.9% of the time after this (149/182 cases), suggesting a likely SOL increase.
Near 0.5: Ratio stable, SOL’s direction less clear (48% up in our data).
Bollinger Bands for STDDEV1,2,3Bollinger Bands with shaded areas representing different standard deviations. The shading becomes progressively darker as you move further away from the mean,
(StdDev 1):
These lines represent the Bollinger Bands at one standard deviation away from the moving average.
They indicate a relatively narrow range of expected price movement.
When prices move outside these bands, it can suggest a potential short-term overbought or oversold condition.
(StdDev 2):
Bollinger Bands at two standard deviations away from the moving average.
They indicate a wider range of expected price movement.
These bands are often used to identify more significant overbought or oversold conditions and potential trend reversals.
This is also the area that is shaded.
(StdDev 3):
Bollinger Bands at three standard deviations away from the moving average.
They indicate an even wider range of expected price movement.
Prices rarely reach these bands, and when they do, it can signal extreme market conditions or strong trends.
BTC Volume Ratio (Coinbase/Binance)观察USDT还是USD主导 #BTC 价格的指标:
红色:USDT主导
绿色:USD主导
蓝色曲线:当前BTCUSD 交易量与BTCUSDT 交易量的比率
红色曲线:蓝色线的ma20
Hammer and Shooting Star Alerts - FrmRisk2RichesThis custom Pine Script indicator helps traders identify potential reversal signals in the market by detecting the formation of Hammer and Shooting Star candlestick patterns on multiple timeframes. The indicator automatically analyzes the 1-minute, 5-minute, 15-minute, and 30-minute charts, alerting you when a Hammer or Shooting Star candle forms on any of these timeframes.
Cryptolabs Global Liquidity Cycle Momentum IndicatorCryptolabs Global Liquidity Cycle Momentum Indicator (LMI-BTC)
This open-source indicator combines global central bank liquidity data with Bitcoin price movements to identify medium- to long-term market cycles and momentum phases. It is designed for traders who want to incorporate macroeconomic factors into their Bitcoin analysis.
How It Works
The script calculates a Liquidity Index using balance sheet data from four central banks (USA: ECONOMICS:USCBBS, Japan: FRED:JPNASSETS, China: ECONOMICS:CNCBBS, EU: FRED:ECBASSETSW), augmented by the Dollar Index (TVC:DXY) and Chinese 10-year bond yields (TVC:CN10Y). This index is:
- Logarithmically scaled (math.log) to better represent large values like central bank balances and Bitcoin prices.
- Normalized over a 50-period range to balance fluctuations between minimum and maximum values.
- Compared to prior-year values, with the number of bars dynamically adjusted based on the timeframe (e.g., 252 for 1D, 52 for 1W), to compute percentage changes.
The liquidity change is analyzed using a Chande Momentum Oscillator (CMO) (period: 24) to measure momentum trends. A Weighted Moving Average (WMA) (period: 10) acts as a signal line. The Bitcoin price is also plotted logarithmically to highlight parallels with liquidity cycles.
Usage
Traders can use the indicator to:
- Identify global liquidity cycles influencing Bitcoin price trends, such as expansive or restrictive monetary policies.
- Detect momentum phases: Values above 50 suggest overbought conditions, below -50 indicate oversold conditions.
- Anticipate trend reversals by observing CMO crossovers with the signal line.
It performs best on higher timeframes like daily (1D) or weekly (1W) charts. The visualization includes:
- CMO line (green > 50, red < -50, blue neutral), signal line (white), Bitcoin price (gray).
- Horizontal lines at 50, 0, and -50 for improved readability.
Originality
This indicator stands out from other momentum tools like RSI or basic price analysis due to:
- Unique Data Integration: Combines four central bank datasets, DXY, and CN10Y as macroeconomic proxies for Bitcoin.
- Dynamic Prior-Year Analysis: Calculates liquidity changes relative to historical values, adjustable by timeframe.
- Logarithmic Normalization: Enhances visibility of extreme values, critical for cryptocurrencies and macro data.
This combination offers a rare perspective on the interplay between global liquidity and Bitcoin, unavailable in other open-source scripts.
Settings
- CMO Period: Default 24, adjustable for faster/slower signals.
- Signal WMA: Default 10, for smoothing the CMO line.
- Normalization Window: Default 50 periods, customizable.
Users can modify these parameters in the Pine Editor to tailor the indicator to their strategy.
Note
This script is designed for medium- to long-term analysis, not scalping. For optimal results, combine it with additional analyses (e.g., on-chain data, support/resistance levels). It does not guarantee profits but supports informed decisions based on macroeconomic trends.
Data Sources
- Bitcoin: INDEX:BTCUSD
- Liquidity: ECONOMICS:USCBBS, FRED:JPNASSETS, ECONOMICS:CNCBBS, FRED:ECBASSETSW
- Additional: TVC:DXY, TVC:CN10Y
ADX Meter OverlayThe ADX Meter Overlay is a trend strength visualization tool that colors candles based on the ADX (Average Directional Index). This indicator helps traders easily identify when the market is trending strongly versus when it is weak or ranging.
🔹 How It Works:
✔️ ADX Measures Trend Strength: The ADX does not indicate trend direction—only trend intensity.
✔️ Candle Colors Change Based on ADX:
Green candles = Strong Uptrend (ADX above threshold, bullish momentum).
Red candles = Strong Downtrend (ADX above threshold, bearish momentum).
Blue candles = Weak Uptrend / Choppy Market (ADX below threshold).
Orange candles = Weak Downtrend / Choppy Market (ADX below threshold).
✔️ Alerts when ADX Crosses Above/Below Threshold: Notifies traders when trend conditions change.
📊 Trading Strategy Based on ADX Meter
📌 Best Timeframes:
Scalping: 1M, 5M
Day Trading: 15M, 1H
Swing Trading: 4H, 1D
📌 Best Markets:
Forex, Crypto, Stocks, Commodities
✅ Entry Rules (Buying/Long Trade)
🔹 Look for Green Candles:
ADX above threshold (Strong Trend).
Price making higher highs & higher lows.
Combine with a 50 EMA or 200 EMA for confirmation.
❌ Exit Rules (Closing a Long Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses below 50 EMA → Trend is reversing, consider exiting.
📉 Entry Rules (Selling/Short Trade)
🔹 Look for Red Candles:
ADX above threshold (Strong Trend).
Price making lower highs & lower lows.
Combine with a Moving Average or RSI for extra confirmation.
❌ Exit Rules (Closing a Short Trade)
🔹 If ADX drops below threshold (candle turns blue/orange) → Exit or reduce position.
🔹 If price crosses above 50 EMA → Trend reversal likely, exit short.
📌 Why Use the ADX Meter?
✔️ Quickly spot strong trends vs weak/ranging markets.
✔️ Avoid false breakouts & low-momentum trades.
✔️ Works with any trading strategy – Combine with RSI, MACD, or Moving Averages.
🔥 Next Steps:
📌 Add the ADX Meter Overlay to your chart and test it on different assets & timeframes.
Multi-Timeframe 200 EMAMulti-Timeframe 200 EMA Indicator
Description:
This indicator plots the 200-period Exponential Moving Average (EMA) from multiple timeframes on a single chart. It allows traders to visualize key trend levels across different timeframes, helping with confluence, trend identification, and potential trade setups.
Key Features:
Multi-Timeframe EMAs: Displays the 200 EMA from the 2m, 5m, 15m, 30m, 1hr, and 4hr timeframes, regardless of the chart's current timeframe.
Dynamic Labeling: Each EMA is labeled with its respective timeframe (e.g., "2m", "1hr", "4hr") and the labels update in real-time, staying on the current EMA value.
Auto-Updating Labels: The labels move with the EMAs as new candles form, ensuring a clean and informative display. Old labels automatically disappear to prevent clutter.
Color-Coded EMAs: Each EMA has a unique color, making it easy to differentiate between timeframes.
How to Use This Indicator in Trading:
Trend Confirmation: If price stays above the higher timeframe 200 EMA (e.g., 1hr, 4hr), it suggests an uptrend; below it suggests a downtrend.
Support & Resistance Zones: The 200 EMA from larger timeframes often acts as strong dynamic support or resistance.
Multi-Timeframe Confluence: If multiple EMAs are aligned in the same direction, it strengthens the trend bias.
Reversal or Breakout Signals: When price crosses above or below a higher timeframe EMA, it could indicate a potential trend change or breakout opportunity.
Best Used For:
🔹 Scalpers & Day Traders: Helps identify intraday trends and key levels across multiple timeframes.
🔹 Swing Traders: Useful for aligning trade setups with higher timeframe trends.
🔹 Trend Followers: Provides confirmation of long-term trends using the 200 EMA.