INGMorel 1.2.0El indicador INGMorel 1.2.0 ha sido desarrollado por INGMorel para traders que buscan una herramienta avanzada, precisa y eficiente para identificar oportunidades de trading durante la sesión de Nueva York. Este indicador combina análisis técnico en múltiples marcos de tiempo (HMA en H1 y M15) junto con el potente filtro del RSI, para ofrecer señales claras sobre la tendencia del mercado.
Características destacadas:
Tendencia HMA H1 y HMA M15: Evalúa la tendencia en dos marcos de tiempo, HMA de 1 hora (H1) y HMA de 15 minutos (M15), asegurando que el trader esté alineado con la tendencia general del mercado.
Filtro RSI: El uso del RSI permite detectar condiciones de sobrecompra o sobreventa, añadiendo una capa adicional de confiabilidad a las señales de compra o venta.
Zona de Killzone (Sesión de NY): Las señales solo se muestran dentro de la Killzone (9:30 AM - 4:00 PM, hora de Nueva York), enfocándose en la parte más activa del mercado para aprovechar los movimientos clave.
Colores de Velas y Fibonacci: Cambia el color de las velas cuando ocurre una ruptura del HMA y marca los niveles clave de Fibonacci (0%, 50%, 100%) para ofrecer referencias visuales en el análisis de precios.
Beneficios para traders: El INGMorel 1.2.0 es ideal para traders que operan dentro de la Killzone de la sesión de Nueva York. Este indicador proporciona señales claras y visualizaciones útiles, como el cambio de color de las velas y las etiquetas de Fibonacci, que facilitan la toma de decisiones rápidas y bien fundamentadas.
Con la firma de INGMorel, esta herramienta ha sido creada para optimizar el análisis técnico, mejorar las estrategias de trading y maximizar las oportunidades de éxito en el mercado.
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[Sapphire] JetStream (SWMA + Laguerre Filter)A Dynamic Fusion of Sine Weighted Moving Average and Laguerre Filter
The JetStream Indicator is a versatile tool that combines the Sine Weighted Moving Average (SWMA) and the Laguerre Filter. This can be used to dynamically visualize price movements overtime.
Core Components:
Sine Weighted Moving Average (SWMA):
The SWMA applies sine-weighted coefficients to recent price values, producing a responsive moving average that adapts to market conditions.
The plotted SWMA line changes its color based on directional movement:
Cyan: Upward trend.
Gray: Downward trend.
The sensitivity of the SWMA is controlled via the SWMA Length input, allowing users to fine-tune its responsiveness to price changes.
Laguerre Filter:
The Laguerre Filter uses recursive smoothing techniques to extract meaningful trends while minimizing lag.
The filter line dynamically changes color:
Blue: Upward momentum.
White: Downward momentum.
The Laguerre Alpha parameter adjusts the filter's smoothing intensity, giving users control over its reaction to price fluctuations.
Bar Repainting:
The bar coloring feature adds another layer of visualization by dynamically altering bar colors based on the interaction between the SWMA and Laguerre Filter:
White: Both SWMA and Laguerre Filter are trending upward.
Teal: Both SWMA and Laguerre Filter are trending downward.
Cyan: Divergence between the two (one trending upward, the other downward).
9 and 21 EMA CrossoverIndicator using the popular 9 and 21 ema signal. Cross over indicate either long or short.
9 and 21 EMA CrossoverIndicator using the popular 9 and 21 ema signal. Cross over indicate either long or short.
Precision Combo Indicator with CrossesThe Precision Combo Indicator is a powerful tool designed to help traders identify high-probability buy and sell signals by combining three key technical indicators: Moving Averages (MA), Relative Strength Index (RSI), and MACD (Moving Average Convergence Divergence). It provides clear visual cues, including crossing lines and labels, to make trading decisions easier and more precise.
How It Works:
Moving Averages (MA):
The indicator plots two moving averages:
Fast MA (Blue Line): A shorter-term moving average (default: 9 periods).
Slow MA (Orange Line): A longer-term moving average (default: 21 periods).
When the Fast MA crosses above the Slow MA, it signals a potential uptrend.
When the Fast MA crosses below the Slow MA, it signals a potential downtrend.
RSI (Relative Strength Index):
The RSI is used to identify overbought (above 70) and oversold (below 30) conditions.
A buy signal is generated when the RSI exits the oversold zone (rises above 30).
A sell signal is generated when the RSI exits the overbought zone (falls below 70).
MACD (Moving Average Convergence Divergence):
The MACD consists of two lines:
MACD Line (Teal): The difference between two exponential moving averages.
Signal Line (Purple): A smoothed version of the MACD Line.
A buy signal is generated when the MACD Line crosses above the Signal Line.
A sell signal is generated when the MACD Line crosses below the Signal Line.
Combined Signals:
A buy signal is confirmed when:
Fast MA crosses above Slow MA.
RSI exits the oversold zone.
MACD Line crosses above the Signal Line.
A sell signal is confirmed when:
Fast MA crosses below Slow MA.
RSI exits the overbought zone.
MACD Line crosses below the Signal Line.
Visual Features:
Moving Averages:
The Fast MA (blue) and Slow MA (orange) are plotted as lines on the chart.
Crosses between the two MAs are marked with green (buy) or red (sell) labels.
MACD Lines:
The MACD Line (teal) and Signal Line (purple) are plotted as lines on the chart.
Crosses between the two MACD lines are marked with light green (buy) or dark red (sell) labels.
How to Use:
Add the Indicator:
Copy the script into the Pine Script Editor on TradingView.
Click "Add to Chart" to apply the indicator.
Interpret the Signals:
Look for green labels below the candles for buy signals.
Look for red labels above the candles for sell signals.
Confirm the signals by checking the crosses of the MA and MACD lines.
Adjust Parameters:
Customize the settings (e.g., MA lengths, RSI levels, MACD parameters) to fit your trading strategy.
Risk Management:
Always use stop-loss and take-profit levels to manage risk.
Example: Set a stop-loss at 2x ATR below the entry price for a long position.
Tips for Success:
Backtest: Test the indicator on historical data to evaluate its performance.
Combine with Other Tools: Use support/resistance levels or Fibonacci retracements for additional confirmation.
Be Patient: Wait for confirmed signals before entering a trade.
RSI Divergence Indicator + STOCHThe RSI Divergence Indicator + STOCH is a combined technical analysis tool that helps traders identify potential reversal points in the market by analyzing two key momentum indicators: the Relative Strength Index (RSI) and the Stochastic Oscillator (STOCH).
RSI Divergence: The RSI measures the speed and change of price movements, ranging from 0 to 100. Divergence occurs when the price of an asset moves in the opposite direction of the RSI, signaling a potential shift in market direction. For example, if the price makes a higher high, but the RSI forms a lower high, this indicates a bearish divergence and suggests that upward momentum may be weakening.
Stochastic Oscillator (STOCH): The Stochastic Oscillator compares an asset's closing price to its price range over a specified period. It provides signals of overbought or oversold conditions, typically using a scale of 0 to 100. When the Stochastic line crosses above 80, it signals overbought conditions, and below 20 signals oversold conditions.
Triple SMA IndicatorTriple SMA Indicator
The Triple SMA Indicator is a simple and effective tool for visualizing three customizable Simple Moving Averages (SMAs) on your chart. It’s ideal for traders looking to analyze short, medium, and long-term trends, with the flexibility to adjust SMA periods and colors to suit any trading strategy.
Features:
Customizable Periods: Define the fast, medium, and slow SMA periods to match your trading approach. Defaults are set to 10, 20, and 50.
Clear Visualization: SMAs are displayed in distinct colors (red, orange, green) for intuitive chart analysis.
Multi-Timeframe Adaptability: Calculate higher-timeframe SMAs (e.g., daily or weekly) on lower-timeframe charts for enhanced perspective.
How to Use:
Daily SMAs on Intraday Charts:
If you want to replicate daily SMAs on lower timeframes, adjust the SMA periods accordingly:
On a 1-hour chart (24 candles per day):
5-day SMA → 120 periods
20-day SMA → 480 periods
50-day SMA → 1200 periods
On a 30-minute chart (48 candles per day):
5-day SMA → 240 periods
20-day SMA → 960 periods
50-day SMA → 2400 periods
Trend Identification:
Use the fast SMA (e.g., 10-period) for short-term momentum.
The medium SMA (e.g., 20-period) highlights medium-term trends.
The slow SMA (e.g., 50-period) captures long-term market direction.
Dynamic Support and Resistance:
SMAs often act as dynamic levels of support or resistance, helping refine trade entries and exits.
Examples:
On a daily chart, use periods of 5, 20, and 50 to represent weekly, monthly, and quarterly trends.
On a 1-hour chart, set periods to 120, 480, and 1200 to observe equivalent daily trends.
This indicator is perfect for traders who need a simple but effective way to track trends, whether on intraday or higher timeframes. Configure it to your liking and start integrating it into your trading routine today!
EMA + BB + ST indicatorThe EMA + BB + ST Indicator is a versatile and compact trading tool designed for traders using free accounts with limited indicators. It combines three powerful technical analysis tools into one:
Exponential Moving Average (EMA): Tracks the trend and smooths price data, making it easier to identify market direction and potential reversals. Configurable to various timeframes for both short-term and long-term trend analysis.
Bollinger Bands (BB): Measures volatility and provides dynamic support and resistance levels. Useful for spotting overbought/oversold conditions and breakout opportunities.
SuperTrend (ST): A trend-following indicator that overlays the chart with buy/sell signals. It simplifies decision-making by highlighting clear trend reversals.
This single indicator offers a streamlined experience, helping traders:
Save indicator slots on free platforms like TradingView.
Gain comprehensive market insights from a single chart.
Easily customize inputs for EMA, BB, and ST to suit various strategies.
Ideal for swing, day, and long-term traders who want to maximize efficiency and performance on free accounts without sacrificing advanced functionality.
Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
BT Custom Moving Averages (410, 130, 150, 770 Days)Custom Moving Averages: This refers to a set of moving averages calculated over specific time periods, tailored to unique analytical needs. The moving averages in this case are based on the following day intervals:
410-Day Moving Average: Tracks the trend over a long-term period of 410 days.
130-Day Moving Average: Represents a medium-term trend, offering insight into shorter fluctuations compared to the 410-day average.
150-Day Moving Average: Similar to the 130-day average but slightly longer, providing a nuanced view of medium-term movements.
770-Day Moving Average: Captures ultra-long-term trends, smoothing out the effects of seasonal or cyclical variations.
These moving averages are customized to provide a comprehensive view of trends across multiple time horizons, often used for specialized analysis in fields like finance, trading, or data science.
EMA Trend Reversed for VIX (v6)This script is designed specifically for tracking trends in the Volatility Index (VIX), which often behaves inversely to equity markets. It uses three Exponential Moving Averages (EMAs) to identify trends and highlight crossovers that signify potential shifts in market sentiment.
Unlike traditional trend-following indicators, this script reverses the usual logic for VIX, marking uptrends (indicating rising volatility and potential market fear) in red and downtrends (indicating falling volatility and potential market stability) in green. This reversal aligns with the VIX's unique role as a "fear gauge" for the market.
Key Features:
EMA Visualization:
Plots three customizable EMAs on the chart: Fast EMA (default 150), Medium EMA (default 200), and Slow EMA (default 250).
The user can adjust EMA lengths via input settings.
Trend Highlighting:
Red fill: Indicates an uptrend in VIX (rising fear/volatility).
Green fill: Indicates a downtrend in VIX (falling fear/volatility).
Crossover Detection:
Marks points where the Fast EMA crosses above or below the Slow EMA.
Red Labels: Fast EMA crossing above Slow EMA (trend shifts upward).
Green Labels: Fast EMA crossing below Slow EMA (trend shifts downward).
Alerts:
Custom alerts for crossovers:
"Trend Crossed UP": Notifies when VIX enters an uptrend.
"Trend Crossed DOWN": Notifies when VIX enters a downtrend.
Alerts can be used to monitor market conditions without actively watching the chart.
Customization:
Flexible EMA settings for fine-tuning based on the user's trading style or market conditions.
Dynamic coloring to provide clear visual cues for trend direction.
Use Cases:
Risk Management: Use this script to monitor shifts in VIX trends as a signal to adjust portfolio risk exposure.
Market Sentiment Analysis: Identify periods of heightened or reduced market fear to guide broader trading strategies.
Technical Analysis: Combine with other indicators or tools to refine trade entry and exit decisions.
How to Use:
Apply this indicator to a VIX chart (or similar volatility instrument).
Watch for the red and green fills to monitor trend changes.
Enable alerts to receive notifications on significant crossovers.
Adjust EMA settings to suit your desired sensitivity.
Notes:
This script is optimized for the VIX but can be applied to other volatility-based instruments.
For best results, pair with additional indicators or analysis tools to confirm signals.
MA by Pranesh IVMA by Pranesh IV:
This is a Simple Moving Average Indicator with 5 different periods.
5-8-13 Koşullar ;
- Kapanış fiyatı 5 Günlük Basit ortalamanın üzerinde
- 5 Günlük Basit ortalama 8 Günlük Basit ortalamanın üzerinde
- 8 Günlük Basit ortalama 13 Günlük Basit ortalamanın üzerinde
Koşullar geçerli olduğunda yeşil sütun oluşur. Koşullar devam ettikçe sütun görünmeye devam eder.
5-8-13 Koşullar ;
- Kapanış fiyatı 5 Günlük Basit ortalamanın üzerinde
- 5 Günlük Basit ortalama 8 Günlük Basit ortalamanın üzerinde
- 8 Günlük Basit ortalama 13 Günlük Basit ortalamanın üzerinde
Koşullar geçerli olduğunda yeşil sütun oluşur. Koşullar devam ettikçe sütun görünmeye devam eder.
OHOL_VWAP_STIts all about OH and OL concept for Nifty Future.
1.When OH candle formed and breaks the high we can enter the position, candle should be below supertrend , moving average and vwap .
2..When OL candle formed and breaks the high we can enter the position, candle should be above supertrend , moving average and vwap .
Ichimoku + RSI + MACD Strategyیک اندیکاتور ترکیب ارس ای و مکدی و ایچو با سیگنال ورود نوشته شده با هوش مصنوعی
GOLDEN BOYDesenvolvido por Alex Reis
- Indicador de Reversão
- Confluência com a tendência e Canal TMA
- Níveis de Fibonacci
Tipo de Grafico : Range
Tempo do Gráfico: 10R/ 30R / 50R / 100R
Ativo : Gold
SOPR | RocheurIntroducing Rocheur’s SOPR Indicator
The Spent Output Profit Ratio (SOPR) indicator by Rocheur is a powerful tool designed for analyzing Bitcoin market dynamics using on-chain data. By leveraging SOPR data and smoothing it through short- and long-term moving averages, this indicator provides traders with valuable insights into market behavior, helping them identify trends, reversals, and potential trading opportunities.
Understanding SOPR and Its Role in Trading
SOPR is a metric derived from on-chain data that measures the profit or loss of spent outputs on the Bitcoin network. It reflects the behavior of market participants based on the price at which Bitcoin was last moved. When SOPR is above 1, it indicates that outputs are being spent at a profit. Conversely, values below 1 suggest that outputs are being spent at a loss.
Rocheur’s SOPR indicator enhances this raw data by incorporating short-term and long-term smoothed trends, allowing traders to observe shifts in market sentiment and momentum.
How It Works
Data Source: The indicator uses SOPR data from Glassnode’s BTC_SOPR metric, updated daily.
Short-Term Trend (STH SOPR):
A Double Exponential Moving Average (DEMA) is applied over a customizable short-term length (default: 150 days).
This reflects recent market participant behavior.
Long-Term Trend (1-Year SOPR):
A Weighted Moving Average (WMA) is applied over a customizable long-term length (default: 365 days).
This captures broader market trends and investor behavior.
Trend Comparison:
Bullish Market: When STH SOPR exceeds the 1-year SOPR, the market is considered bullish.
Bearish Market: When STH SOPR falls below the 1-year SOPR, the market is considered bearish.
Neutral Market: When the two values are equal, the market is neutral.
Visual Representation
The indicator provides a color-coded visual representation for easy trend identification:
Green Bars: Indicate a bullish market where STH SOPR is above the 1-year SOPR.
Red Bars: Represent a bearish market where STH SOPR is below the 1-year SOPR.
Gray Bars: Show a neutral market condition where STH SOPR equals the 1-year SOPR.
The dynamic bar coloring allows traders to quickly assess the prevailing market sentiment and adjust their strategies accordingly.
Customization & Parameters
The SOPR Indicator offers several customizable settings to adapt to different trading styles and preferences:
Short-Term Length: Default set to 150 days, defines the smoothing period for the STH SOPR .
Long-Term Length: Default set to 365 days, defines the smoothing period for the 1-year SOPR.
Color Modes: Choose from seven distinct color schemes to personalize the indicator’s appearance.
Final Note
Rocheur’s SOPR Indicator is a unique tool that combines on-chain data with technical analysis to provide actionable insights for Bitcoin traders. Its ability to blend short- and long-term trends with a visually intuitive interface makes it an invaluable resource for navigating market dynamics. As with all indicators, backtesting and integration into a comprehensive strategy are essential for optimizing performance.