Adaptive Trend [StabTrading]The Adaptive Trend is a versatile tool designed to help traders stay in trades longer by adapting to real-time market conditions. Based on the Exponential Moving Average (EMA) trend, this indicator automatically adjusts its values according to the flow of money, making it a fully automated and responsive trend-following tool. Traders can use this adaptive trend to maintain positions longer and identify optimal entry and exit points before the trend fully reverses.
💡 Features
EMA-Based Trend - The Adaptive Trend Indicator is grounded in the EMA, providing a reliable foundation for tracking market trends.
Adaptive Values - The indicator’s values change dynamically based on money flow, allowing it to adjust to market conditions automatically.
Designed for Longer Trades - This tool is specifically designed to keep traders in trades for extended periods, maximizing potential profits.
Automated Algorithm - The fully automated nature of this indicator ensures that it adapts without manual intervention, making it user-friendly and efficient.
Pre-Trend Flip Signals - Traders can utilize this indicator to spot entry and exit points before a trend reversal, offering a strategic advantage in trade timing.
📈 How to Use the Adaptive Trend Indicator
The Adaptive Trend Indicator is designed to help traders identify potential entry and exit points by observing the relationship between price and the trend line. Generally, the price should follow the trend line's momentum. However, when the price deviates from the trend line, this indicates a divergence in momentum, signalling a potential trading opportunity.
Monitor the Trend Line - Pay attention to the color and flatness of the trend line. A blue trend line indicates bullish momentum, while a yellow trend line signals bearish momentum. When the trend line starts to flatten, it suggests that the current momentum is weakening. This is the time to watch for price deviations from the trend line as potential trade signals.
🛠️ Usage/Practice
As the downward trend begins to lose momentum, the trend line flattens and shows early signs of money flow moving up. This flattening indicates a potential shift in market sentiment, suggesting that a reversal may be on the horizon.
The trend line changes to blue, indicating a bullish shift in momentum. Since the price is close to the trend line, this serves as a strong confirmation to enter a long trade. The proximity to the trend line offers a favourable risk-to-reward ratio.
The trend line begins to level out, signalling a potential slowdown in momentum. Notice how the price starts to deviate from the trend line. As price rises above the trend line, this presents an opportunity to take partial profits or initiate a covered sell position.
The price briefly dips below the blue trend line, and the trend itself remains flat, indicating the bullish trend’s resilience. As the trend line stays blue, this suggests that the upward momentum remains intact, and the dip may be temporary, offering another potential entry point.
Despite the trend line flattening, the price continues to respect the trend, suggesting that the uptrend has not exhausted itself. This continuation implies that the bullish trend is still likely to persist.
The trend line flips, signalling a clear end to the previous upward trend. This flip is a strong indication that the bullish momentum has been fully exhausted, and a reversal may be in progress. Notice how the price has respected the trend line as it flips.
The trend line has shifted to yellow, signalling downward price action. As the trend begins to flatten and shows signs of moving upward again, traders should wait for the price to cross above the trend line. This crossing could indicate a safer entry point for a sell trade, as the market may still be in a bearish phase.
The price drops sharply below the trend line, but the trend itself remains relatively stable, suggesting that the downward momentum may not be as strong as the price action suggests. This discrepancy signals an opportune moment to take profits and potentially enter a buy position.
The price is not aligning with the trend line, suggesting the market may be trending sideways. The trend currently shows bullish momentum, but it lacks strong upward acceleration, and the price is significantly above the trend line. This weakening momentum indicates a potential area to consider a sell trade. Similar to point 8, the lack of acceleration and the distance from the trend line suggest that the upward movement may be losing strength.
While the trend remains in a downward (yellow) phase, it begins to rise without flipping to blue. This suggests that upward momentum is weak. As the price significantly deviates above the trend line, traders might consider entering a new sell trade, as the upward movement within a downward trend could indicate a temporary correction rather than a full reversal.
🔶 Conclusion
The Adaptive Trend allows traders to maintain their positions longer while providing strategic entry and exit points before trends fully reverse. As part of a comprehensive trading system, this indicator is particularly valuable for those looking to capitalize on subtle shifts in market momentum. By following its guidelines and signals, traders can better align their strategies with market dynamics.
Moving Averages
Swiss Knife [MERT]Introduction
The Swiss Knife indicator is a comprehensive trading tool designed to provide a multi-dimensional analysis of the market. By integrating a wide array of technical indicators across multiple timeframes, it offers traders a holistic view of market sentiment, momentum, and potential reversal points. This indicator is particularly useful for traders looking to combine trend analysis, momentum indicators, volume data, and price action into a single, easy-to-read format.
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Key Features
Multi-Timeframe Analysis : Evaluates indicators on Daily , 4-Hour , 1-Hour , and 15-Minute timeframes.
Comprehensive Indicator Suite : Incorporates MACD , Awesome Oscillator (AO) , Parabolic SAR , SuperTrend , DPO , RSI , Stochastic Oscillator , Bollinger Bands , Ichimoku Cloud , Chande Momentum Oscillator (CMO) , Donchian Channels , ADX , volume-based momentum indicators, Fractals , and divergence detection.
Market Sentiment Scoring : Aggregates signals from multiple indicators to provide an overall sentiment score.
Visual Aids : Displays EMA lines, trendlines, divergence signals, and a sentiment table directly on the chart.
Super Trend Reversal Signals : Identifies potential market reversal points by assessing the momentum of automated trading bots.
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Explanation of Each Indicator
Moving Average Convergence Divergence (MACD)
- Purpose : Measures the relationship between two moving averages of price.
- Interpretation : A positive histogram suggests bullish momentum; a negative histogram indicates bearish momentum.
Awesome Oscillator (AO)
- Purpose : Gauges market momentum by comparing recent market movements to historic ones.
- Interpretation : Above zero indicates bullish momentum; below zero indicates bearish momentum.
Parabolic SAR (SAR)
- Purpose : Identifies potential reversal points in price direction.
- Interpretation : Dots below price suggest an uptrend; dots above price suggest a downtrend.
SuperTrend
- Purpose : Determines the prevailing market trend.
- Interpretation : Provides buy or sell signals based on price movements relative to the SuperTrend line.
Detrended Price Oscillator (DPO)
- Purpose : Removes trend from price to identify cycles.
- Interpretation : Values above zero suggest price is above the moving average; values below zero indicate it is below.
Relative Strength Index (RSI)
- Purpose : Measures the speed and change of price movements.
- Interpretation : Values above 50 indicate bullish momentum; values below 50 indicate bearish momentum.
Stochastic Oscillator
- Purpose : Compares a particular closing price to a range of its prices over a certain period.
- Interpretation : Values above 50 indicate bullish conditions; values below 50 indicate bearish conditions.
Bollinger Bands (BB)
- Purpose : Measures market volatility and provides relative price levels.
- Interpretation : Price above the middle band suggests bullishness; below the middle band suggests bearishness.
Ichimoku Cloud
- Purpose : Provides support and resistance levels, trend direction, and momentum.
- Interpretation : Bullish signals when price is above the cloud; bearish signals when price is below the cloud.
Chande Momentum Oscillator (CMO)
- Purpose : Measures momentum on both up and down days.
- Interpretation : Values above 50 indicate strong upward momentum; values below -50 indicate strong downward momentum.
Donchian Channels
- Purpose : Identifies volatility and potential breakouts.
- Interpretation : Price above the upper band suggests bullish breakout; below the lower band suggests bearish breakout.
Average Directional Index (ADX)
- Purpose : Measures the strength of a trend.
- Interpretation : DI+ above DI- indicates bullish trend; DI- above DI+ indicates bearish trend.
Volume Momentum Indicators (VolMom, CumVolMom, POCMom)
- Purpose : Analyze volume to assess buying and selling pressure.
- Interpretation : Positive values suggest bullish volume momentum; negative values indicate bearish volume momentum.
Fractals
- Purpose : Identify potential reversal points in the market.
- Interpretation : Up fractals may indicate a future downtrend; down fractals may indicate a future uptrend.
Divergence Detection
- Purpose : Identifies divergences between price and various indicators (RSI, MACD, Stochastic, OBV, MFI, A/D Line).
- Interpretation : Bullish divergences suggest potential upward reversal; bearish divergences suggest potential downward reversal.
- Note : This functionality utilizes the library from Divergence Indicator .
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Coloring Scheme
Background Color
- Purpose : Reflects the overall market sentiment by combining sentiment scores from all indicators across different timeframes.
- Interpretation :
- Green Shades : Indicate bullish market sentiment.
- Red Shades : Indicate bearish market sentiment.
- Intensity : The strength of the color corresponds to the strength of the sentiment score.
Sentiment Table
- Purpose : Displays the status of each indicator across different timeframes.
- Interpretation :
- Green Cell : The indicator suggests a bullish signal.
- Red Cell : The indicator suggests a bearish signal.
- Percentage Score : Indicates the overall bullish or bearish sentiment on that timeframe.
Exponential Moving Averages (EMAs)
- Purpose : Provide dynamic support and resistance levels.
- Colors :
- EMA 10 : Lime
- EMA 20 : Yellow
- EMA 50 : Orange
- EMA 100 : Red
- EMA 200 : Purple
Trendlines
- Purpose : Visual representation of support and resistance levels based on pivot points.
- Interpretation :
- Upward Trendlines : Colored green , indicating support levels.
- Downward Trendlines : Colored red , indicating resistance levels.
- Note : Trendlines are drawn using the library from Simple Trendlines .
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Utility of Market Sentiment
The indicator aggregates signals from multiple technical indicators across various timeframes to compute an overall market sentiment score . This comprehensive approach helps traders understand the prevailing market conditions by:
Confirming Trends : Multiple indicators pointing in the same direction can confirm the strength of a trend.
Identifying Reversals : Divergences and fractals can signal potential turning points.
Timeframe Alignment : Aligning signals across different timeframes can enhance the probability of successful trades.
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Divergences
Divergence occurs when the price of an asset moves in the opposite direction of a technical indicator, suggesting a potential reversal.
- Bullish Divergence : Price makes a lower low, but the indicator makes a higher low.
- Bearish Divergence : Price makes a higher high, but the indicator makes a lower high.
The indicator detects divergences for:
RSI
MACD
Stochastic Oscillator
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution Line (A/D Line)
By identifying these divergences, traders can spot early signs of trend reversals and adjust their strategies accordingly.
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Trendlines
Trendlines are essential tools for identifying support and resistance levels. The indicator automatically draws trendlines based on pivot points:
- Upward Trendlines (Support) : Connect higher lows, indicating an uptrend.
- Downward Trendlines (Resistance) : Connect lower highs, indicating a downtrend.
These trendlines help traders visualize the trend direction and potential breakout or reversal points.
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Super Trend Reversals (ST Reversal)
The core idea behind the Super Trend Reversals indicator is to assess the momentum of automated trading bots (often referred to as 'Supertrend bots') that enter the market during critical turning points. Specifically, the indicator is tuned to identify when the market is nearing bottoms or peaks, just before it shifts direction based on the triggered Supertrend signals. This approach helps traders:
Engage Early : Enter the market as reversal momentum builds up.
Optimize Entries and Exits : Enter under favorable conditions and exit before momentum wanes.
By capturing these reversal points, traders can enhance their trading performance.
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Conclusion
The Swiss Knife indicator serves as a versatile tool that combines multiple technical analysis methods into a single, comprehensive indicator. By assessing various aspects of the market—including trend direction, momentum, volume, and price action—it provides traders with valuable insights to make informed trading decisions.
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Citations
- Divergence Detection Library : Divergence Indicator by DevLucem
- Trendline Drawing Library : Simple Trendlines by HoanGhetti
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Note : This indicator is intended for informational purposes and should be used in conjunction with other analysis techniques. Always perform due diligence before making trading decisions.
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Reflected ema Difference (RED) This script, titled "Reflected EMA Difference (RED)," is based on the logic of evaluating the percentage of convergence and divergence between two moving averages, specifically the Hull Moving Averages (HMA), to make price-related decisions. The Hull Moving Average, created by Alan Hull, is used as the foundation of this strategy, offering a faster and more accurate way to analyze market trends. In this script, the concept is employed to measure and reflect price variations.
Script Functionality Overview:
Hull Moving Averages (HMA): The script utilizes two HMAs, one short-term and one long-term. The main idea is to compute the Delta Difference between these two moving averages, which represents how much they are converging or diverging from each other. This difference is key to identifying potential market trend changes.
Reflected HMA Value: Using the Delta Difference between the HMAs, the value of the short-term HMA is reflected, creating a visual reference point that helps traders see the relationship between price and HMAs on the chart.
Percentage Change Index: The second key parameter is the percentage change index. This determines when a trend is reversing, allowing buy or sell orders to be established based on significant changes in the relationship between the HMAs and the price.
Delta Multiplier: The script comes with a default Delta multiplier of 2 for calculating the difference between HMAs, allowing traders to adjust the sensitivity of the analysis based on the time frame being analyzed.
Trend Reversal Signals: When the price crosses the thresholds defined by the percentage change index, buy or sell signals are triggered, based on the detection of a potential trend reversal.
Visual Cues with Boxes: Boxes are drawn on the chart when the HullMA crosses the reflected HMA value, providing a visual aid to identify critical moments where risk should be evaluated.
Alerts for Receiving Signals:
This script allows you to set up buy and sell alerts via TradingView's alert system. These alerts are triggered when trend changes are detected based on the conditions coded in the script. Traders can receive instant notifications, allowing them to make decisions without needing to constantly monitor the chart.
Additional Considerations:
The percentage change parameter is adjustable and should be configured based on the time frame you are trading on. For longer time frames, it's advisable to use a larger percentage change to avoid false signals.
The use of Hull Moving Averages (HMA) provides a faster and more reactive approach to trend evaluation compared to other moving averages, making it a powerful tool for traders seeking quick reversal signals.
This approach combines the power of Hull Moving Averages with an alert system to improve the trader’s response to trend changes.
Spanish
Este script, titulado "Reflected EMA Difference (RED)", está fundamentado en la lógica de evaluar el porcentaje de acercamiento y distancia entre dos medias móviles, específicamente las medias móviles de Hull (HMA), para tomar decisiones sobre el valor del precio. El creador de la media móvil de Hull, Alan Hull, diseñó este indicador para ofrecer una forma más rápida y precisa de analizar tendencias de mercado, y en este script se utiliza su concepto como base para medir y reflejar las variaciones de precio.
Descripción del funcionamiento:
Medias Móviles de Hull (HMA): Se utilizan dos HMAs, una de corto plazo y otra de largo plazo. La idea principal es calcular la diferencia Delta entre estas dos medias móviles, que representa cuánto se están alejando o acercando entre sí. Esta diferencia es clave para identificar cambios potenciales en la tendencia del mercado.
Valor Reflejado de la HMA: Con la diferencia Delta calculada entre las HMAs, se refleja el valor de la HMA corta, creando un punto de referencia visual que ayuda a los traders a observar la relación entre el precio y las HMAs en el gráfico.
Índice de Cambio de Porcentaje: El segundo parámetro clave del script es el índice de cambio porcentual. Este define el momento en que una tendencia está revirtiendo, permitiendo establecer órdenes de compra o venta en función de un cambio significativo en la relación entre las HMAs y el precio.
Multiplicador Delta: El script tiene un multiplicador predeterminado de 2 para el cálculo de la diferencia Delta, lo que permite ajustar la sensibilidad del análisis según la temporalidad del gráfico.
Señales de Reversión de Tendencia: Cuando el precio cruza los límites definidos por el índice de cambio porcentual, se emiten señales para comprar o vender, basadas en la detección de una posible reversión de tendencia.
Visualización con Cajas: Se dibujan cajas en el gráfico cuando el indicador HullMA cruza el valor reflejado de la HMA, ayudando a identificar visualmente los momentos críticos en los que se debe evaluar el riesgo de las operaciones.
Alertas para Recibir Señales:
Este script permite configurar alertas de compra y venta desde el apartado de alertas de TradingView. Estas alertas se activan cuando se detectan cambios de tendencia en función de las condiciones establecidas en el código. El trader puede recibir notificaciones instantáneas, lo que facilita la toma de decisiones sin necesidad de estar constantemente observando el gráfico.
Consideraciones adicionales:
El porcentaje de cambio es un parámetro ajustable y debe configurarse según la temporalidad que se esté operando. En temporalidades más largas, es recomendable usar un porcentaje de cambio mayor para evitar señales falsas.
La utilización de las medias móviles de Hull (HMA) proporciona un enfoque más rápido y reactivo para evaluar tendencias en comparación con otras medias móviles, lo que lo convierte en una herramienta poderosa para traders que buscan señales rápidas de reversión.
Este enfoque combina la potencia de las medias móviles de Hull con un sistema de alertas que mejora la reactividad a cambios de tendencia.
Ultra Moving AverageThe Ultra Moving Average is a versatile technical indicator that combines various types of moving averages to analyze trends, providing multi-timeframe insights for traders. It offers four customizable moving averages and a trend strength table for enhanced decision-making.
Introduction
The Ultra Moving Average indicator is a powerful tool designed to help traders track market trends by offering a combination of four distinct moving averages. With flexible customization options, users can apply different types of moving averages like SMA, EMA, TEMA, and many more, across various timeframes. Additionally, it provides trend strength analysis through an intuitive visual table, helping traders quickly identify market conditions.
Detailed Description
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Moving Averages
Each of the four moving averages is independently configurable. You can select the timeframe, type, length, color, and width to match your trading strategy.
The types of moving averages range from traditional ones like the Simple Moving Average (SMA) to advanced ones like the Double Expotential Moving Average (DEMA) or the Triple Exponential Moving Average (TEMA) or the Recursive Moving Average (RMA) or the Weigthend Moving Average (WMA) or the Volume Weigthend Moving Average (VWMA) or Hull Moving Average (HMA).
Very Special ones are the Triple Weigthend Moving Average (TWMA) wich created RedKTrader .
I created the Multi Weigthend Moving Average (MWMA) wich is a simple signal line to the TWMA.
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Trend Visualization
The indicator uses color-coding to visually represent whether the price is in an uptrend or downtrend. Bullish trends are highlighted in one color, while bearish trends appear in another, making it easy to interpret.
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Trend Strength Table
One of the unique features of the Ultra Moving Average is the trend strength table at the bottom of the chart. This table breaks down the strength of the fast, mid, and slow moving averages, displaying them as percentages. It also shows the overall "trend power," which helps assess how strong or weak the current trend is.
You have the option to calculate trends using live data or the previous bar's data, offering flexibility in how the indicator reacts to market changes. This can help traders make more responsive decisions based on real-time trends.
The table displays trend strength across three timeframes Fast, Mid, and Slow by calculating the percentage difference between the price and each of the moving averages (MA1, MA3, MA4).
The Power row shows the average of these percentages, representing overall trend strength.
The percentages are calculated relative to their maximum values in history (limited by TradingView subscription), providing insight into the trend's strength for each timeframe.
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Overall, the Ultra Moving Average indicator is a comprehensive tool that combines multiple moving average types and advanced trend analysis, helping traders identify market direction and strength at a glance. With its intuitive visualization and flexible settings, it's suited for both beginner and experienced traders.
Special Thanks
I use the TWMA-Function created from RedKTrader to smooth the values.
Special thanks to him for creating and sharing this function!
Multi-Timeframe RSI and MACD Table with SignalsMulti-Timeframe RSI and MACD Table
This indicator provides a comprehensive overview of market momentum and trend direction across multiple timeframes using the RSI (Relative Strength Index) and MACD (Moving Average Convergence Divergence) indicators. It displays a table on the chart, allowing you to monitor these key technical indicators across different timeframes in a visually intuitive way.
What is RSI (Relative Strength Index)?
RSI is a momentum oscillator that measures the speed and change of price movements, ranging from 0 to 100. It helps traders identify whether an asset is overbought or oversold:
RSI ≥ 70: Indicates that the asset might be overbought and a reversal or pullback may occur.
RSI ≤ 30: Indicates that the asset might be oversold, signaling a potential rebound or buying opportunity.
RSI around 50: Suggests neutral momentum, with no strong directional bias.
In this indicator, RSI values are calculated and displayed for multiple timeframes to help traders assess momentum across different periods.
What is MACD (Moving Average Convergence Divergence)?
MACD is a trend-following indicator that shows the relationship between two moving averages of a price, typically the 12-period EMA and the 26-period EMA:
MACD Line: The difference between the 12-period EMA and the 26-period EMA.
Signal Line: A 9-period EMA of the MACD Line.
MACD Histogram: The difference between the MACD Line and the Signal Line, showing the strength of the momentum.
MACD is used to identify changes in the strength, direction, and momentum of an asset's price. When the MACD line crosses the signal line, it generates a buy or sell signal:
Bullish Crossover: When the MACD line crosses above the signal line, it indicates upward momentum.
Bearish Crossunder: When the MACD line crosses below the signal line, it signals downward momentum.
Key Features of the Indicator:
Multi-Timeframe Monitoring: This indicator displays RSI and MACD values for several different timeframes (e.g., 5 min, 15 min, 1 hr, 4 hr, 1 day). It allows traders to quickly see how the market behaves across multiple periods.
Bullish/Bearish Background Colors:
Green Background: Indicates a bullish trend. RSI is above 50 and the MACD line is above the signal line, signaling upward momentum.
Red Background: Indicates a bearish trend. RSI is below 50 and the MACD line is below the signal line, signaling downward momentum.
Signal Arrows:
Bullish Signal (▲): This arrow appears when the MACD line crosses above the signal line, indicating a possible bullish momentum shift.
Bearish Signal (▼): This arrow appears when the MACD line crosses below the signal line, indicating a possible bearish momentum shift.
How to Use This Indicator:
Monitor the Signal Arrows for Early Alerts:
Bullish Signal (▲): When an upward arrow appears, it means that the MACD line has just crossed above the signal line, indicating a potential bullish setup. This can serve as an early alert of rising momentum.
Bearish Signal (▼): When a downward arrow appears, it means that the MACD line has just crossed below the signal line, signaling a potential bearish setup.
The arrows provide an early signal of momentum shifts, but they are not enough to confirm a trend on their own.
Wait for Background Color Change for Full Confirmation:
Green Background: A green background across timeframes confirms a bullish trend. This happens when RSI is above 50 (indicating upward momentum) and the MACD line is above the signal line (confirming the bullish trend). Wait for this background color to change to green for full confirmation of a bullish setup.
Red Background: A red background signals a bearish trend. This indicates RSI is below 50 (showing downward momentum) and the MACD line is below the signal line, confirming the bearish trend.
In short:
The signal arrows act as an early alert for potential changes in momentum.
The background color change provides full confirmation of a bullish or bearish trend, aligning both RSI and MACD.
Bullish Setup:
To confirm a bullish setup, look for the green background. A green background means that both RSI and MACD are aligned in a bullish condition. This shows that the asset has upward momentum and a positive trend.
Bearish Setup:
To confirm a bearish setup, look for a red background. This means that both RSI and MACD are aligned in a bearish condition, indicating downward momentum and a negative trend.
Example Usage:
Use the signal arrows as an alert to watch for potential changes in trend. When an arrow appears, it's a good indication to start paying attention.
Use the background color for confirmation of the trend. For a more confident trade, wait for the background to turn green (for bullish) or red (for bearish) before entering or exiting a trade.
Perfect for Trend and Momentum Traders:
This indicator is ideal for traders who want a quick, visual overview of market conditions across multiple timeframes. By focusing on RSI for momentum and MACD for trend direction, it provides a comprehensive snapshot of market trends, allowing traders to make better-informed decisions.
Multiple Bollinger Bands + Volatility [AlgoTraderPro]This indicator helps traders visualize price ranges and volatility changes. Designed to assist in identifying potential consolidation zones, the indicator uses multiple layers of Bollinger Bands combined with volatility-based shading. This can help traders spot periods of reduced price movement, which are often followed by breakouts or trend reversals.
█ FEATURES
Multiple Bollinger Bands: Displays up to seven bands with customizable standard deviations, providing a layered view of price range activity.
Volatility Measurement: Tracks changes in Bollinger Band width to display volatility percentage and direction (increasing, decreasing, or neutral).
Volatility Shading: Uses color-coded shading between the outermost bands to indicate changes in volatility, helping to visualize potential consolidation zones.
Customizable Inputs: Modify lookback periods, moving average lengths, and standard deviations for each band to tailor the analysis to your strategy.
Volatility Table: Displays a table on the chart showing real-time volatility data and direction for quick reference.
█ HOW TO USE
Add the Indicator: Apply it to your TradingView chart.
Adjust Settings: Customize the Bollinger Bands’ parameters to suit your trading timeframe and strategy.
Analyze Consolidation Zones: Use the multiple bands and volatility shading to identify areas of reduced price activity, signaling potential breakouts.
Monitor Volatility: Refer to the volatility table to track real-time shifts in market volatility.
Use in Different Markets: Adapt the settings for various assets and timeframes to assess market conditions effectively.
█ NOTES
• The indicator is useful in consolidating markets where price movement is limited, offering insights into potential breakout areas.
• Adjust the settings based on asset and market conditions for optimal results.
Varanormal Mac N Cheez Strategy v1Mac N Cheez Strategy (Set a $200 Take profit Manually)
It's super cheesy. Strategy does the following:
Here's a detailed explanation of what the entire script does, including its key components, functionality, and purpose.
1. Strategy Setup and Input Parameters:
Strategy Name: The script is named "NQ Futures $200/day Strategy" and is set as an overlay, meaning all elements (like moving averages and signals) are plotted on the price chart.
Input Parameters:
fastLength: This sets the length of the fast moving average. The user can adjust this value, and it defaults to 9.
slowLength: This sets the length of the slow moving average. The user can adjust this value, and it defaults to 21.
dailyTarget: The daily profit target, which defaults to $200. If set to 0, this disables the daily profit target.
stopLossAmount: The fixed stop-loss amount per trade, defaulting to $100. This value is used to calculate how much you're willing to lose on a single trade.
trailOffset: This value sets the distance for a trailing stop. It helps protect profits by automatically adjusting the stop-loss as the price moves in your favor.
2. Calculating the Moving Averages:
fastMA: The fast moving average is calculated using the ta.sma() function on the close price with a period length of fastLength. The ta.sma() function calculates the simple moving average.
slowMA: The slow moving average is also calculated using ta.sma() but with the slowLength period.
These moving averages are used to determine trend direction and identify entry points.
3. Buy and Sell Signal Conditions:
longCondition: This is the buy condition. It occurs when the fast moving average crosses above the slow moving average. The script uses ta.crossover() to detect this crossover event.
shortCondition: This is the sell condition. It occurs when the fast moving average crosses below the slow moving average. The script uses ta.crossunder() to detect this crossunder event.
4. Executing Buy and Sell Orders:
Buy Orders: When the longCondition is true (i.e., fast MA crosses above slow MA), the script enters a long position using strategy.entry("Buy", strategy.long).
Sell Orders: When the shortCondition is true (i.e., fast MA crosses below slow MA), the script enters a short position using strategy.entry("Sell", strategy.short).
5. Setting Stop Loss and Trailing Stop:
Stop-Loss for Long Positions: The stop-loss is calculated as the entry price minus the stopLossAmount. If the price falls below this level, the trade is exited automatically.
Stop-Loss for Short Positions: The stop-loss is calculated as the entry price plus the stopLossAmount. If the price rises above this level, the short trade is exited.
Trailing Stop: The trail_offset dynamically adjusts the stop-loss as the price moves in favor of the trade, locking in profits while still allowing room for market fluctuations.
6. Conditional Daily Profit Target:
The script includes a daily profit target that automatically closes all trades once the total profit for the day reaches or exceeds the dailyTarget.
Conditional Logic:
If the dailyTarget is greater than 0, the strategy checks whether the strategy.netprofit (total profit for the day) has reached or exceeded the target.
If the strategy.netprofit >= dailyTarget, the script calls strategy.close_all(), closing all open trades for the day and stopping further trading.
If dailyTarget is set to 0, this logic is skipped, and the script continues trading without a daily profit target.
7. Plotting Moving Averages:
plot(fastMA): This plots the fast moving average as a blue line on the price chart.
plot(slowMA): This plots the slow moving average as a red line on the price chart. These help visualize the crossover points and the trend direction on the chart.
8. Plotting Buy and Sell Signals:
plotshape(): The script uses plotshape() to add visual markers when buy or sell conditions are met:
"Long Signal": When a buy condition (longCondition) is met, a green marker is plotted below the price bar with the label "Long".
"Short Signal": When a sell condition (shortCondition) is met, a red marker is plotted above the price bar with the label "Short".
These markers help traders quickly see when buy or sell signals occurred on the chart.
In addition, triangle markers are plotted:
Green Triangle: Indicates where a buy entry occurred.
Red Triangle: Indicates where a sell entry occurred.
Summary of What the Script Does:
Inputs: The script allows the user to adjust moving average lengths, daily profit targets, stop-loss amounts, and trailing stop offsets.
Signals: It generates buy and sell signals based on the crossovers of the fast and slow moving averages.
Order Execution: It executes long positions on buy signals and short positions on sell signals.
Stop-Loss and Trailing Stop: It sets dynamic stop-losses and uses a trailing stop to protect profits.
Daily Profit Target: The strategy stops trading for the day once the net profit reaches the daily target (unless the target is disabled by setting it to 0).
Visual Markers: It plots moving averages and buy/sell signals directly on the main price chart to aid in visual analysis.
This script is designed to trade based on moving average crossovers, with robust risk management features like stop-loss and trailing stops, along with an optional daily profit target to limit daily trading activity. Let me know if you need further clarification or want to adjust any specific part of the script!
Trading TP SL### Detailed Explanation of the "Trading TP SL" Indicator:
#### 1. **Main Purpose of the Indicator**:
This Pine Script strategy is designed to automate trading decisions by using predefined Take Profit (TP) and Stop Loss (SL) levels for both buy and sell orders. It allows for visual representation of these levels on the chart through lines and labels.
---
#### 2. **Key Variables**:
- **Candle_length**: Specifies the number of candles used for calculating the Simple Moving Average (SMA).
- **Quantity_of_deals**: Defines the number of consecutive price conditions needed to trigger a trade.
- **SLbuy and SLsell**: Inputs for setting the stop loss level for buy and sell trades.
- **TPbuy1 - TPbuy4 and TPsell1 - TPsell4**: Inputs for specifying up to four take profit levels for buy and sell trades.
- **show_SL_buy and show_TP1_buy (and others)**: These options control whether the lines and labels for the specified levels are shown on the chart.
---
#### 3. **Buy Logic**:
- The script calculates the Simple Moving Average (SMA) using the number of candles specified by **Candle_length**.
- A condition is checked to see if the current price is above the SMA (**bcond = price > ma**).
- If this condition holds true for a number of candles equal to **Quantity_of_deals**, a buy trade is triggered with the command: `strategy.entry("BUY", strategy.long)`.
- The stop loss and take profit levels are calculated based on user inputs (in ticks).
##### Example:
- If the price is above the 50-period SMA, and this happens for 30 consecutive candles, a buy order will be triggered, with the corresponding SL and TP levels plotted on the chart.
---
#### 4. **Sell Logic**:
- The opposite logic applies for sell trades. If the price is below the SMA (**scond = price < ma**) for a number of candles equal to **Quantity_of_deals**, a sell trade is triggered using: `strategy.entry("SELL", strategy.short)`.
- Stop loss and take profit levels are calculated and displayed in the same way as for buy trades.
---
#### 5. **Displaying Lines and Labels**:
- Lines and labels are drawn on the chart to represent the SL and TP levels using the `line.new` and `label.new` functions.
- The visibility of these lines and labels is controlled by options like **show_SL_buy**, **show_TP1_buy**, **show_SL_sell**, etc.
##### Example:
- If **show_SL_buy** is enabled, a red line and label for the buy stop loss will appear on the chart, labeled "SL".
- The same applies for the take profit levels (TP1, TP2, etc.) and the sell orders.
---
#### 6. **Color Customization**:
- The script allows for customization of colors for different components:
- **SL_1**: The color of the buy stop loss line (red).
- **TP_1**: The color of the first take profit line for buy orders (green).
- **short1**: The color of the sell order line.
---
### Advantages:
- Full control over profit and stop loss levels.
- Flexibility to define the number of conditions required to trigger a trade.
- Options to show or hide levels on the chart, providing visual clarity.
---
### Conclusion:
This strategy is built around using the Simple Moving Average (SMA) to identify entry signals for both buy and sell trades. The stop loss and take profit levels are user-defined, with significant flexibility to customize and visualize them on the chart.
### شرح تفصيلي لمؤشر "Trading TP SL" المكتوب بلغة Pine Script:
#### 1. **الهدف الأساسي للمؤشر**:
المؤشر مصمم كاستراتيجية تداول مبنية على أوامر الشراء والبيع مع إعدادات خاصة بأهداف الربح (TP) ومستويات إيقاف الخسارة (SL). يتم تحديد هذه المستويات بشكل يدوي عن طريق المدخلات، مع إمكانية إظهار الخطوط والملصقات على الرسم البياني لتوضيح تلك المستويات.
---
#### 2. **المتغيرات الأساسية**:
- **Candle_length**: عدد الشموع المستخدمة لحساب المتوسط المتحرك البسيط (SMA).
- **Quantity_of_deals**: عدد الصفقات المطلوبة قبل تفعيل إشارة الدخول.
- **SLbuy و SLsell**: مستوى إيقاف الخسارة للشراء والبيع.
- **TPbuy1 - TPbuy4 و TPsell1 - TPsell4**: مستويات الربح المستهدفة (TP) للشراء والبيع.
- **show_SL_buy و show_TP1_buy (وما إلى ذلك)**: هذه الخيارات تظهر أو تخفي الخطوط والملصقات على الرسم البياني لكل مستوى من المستويات المحددة.
---
#### 3. **المنطق وراء الشراء**:
- يتم حساب المتوسط المتحرك البسيط (SMA) باستخدام الشموع المحددة في المتغير **Candle_length**.
- يتم التأكد مما إذا كان السعر الحالي أعلى من هذا المتوسط المتحرك البسيط (**bcond = price > ma**).
- إذا تحقق هذا الشرط لعدد من الشموع يساوي **Quantity_of_deals**، يتم تفعيل صفقة شراء باستخدام أمر: `strategy.entry("BUY", strategy.long)`.
- يتم حساب مستويات إيقاف الخسارة وأهداف الربح بناءً على القيمة المدخلة من المستخدم (القيمة بالنقاط).
##### مثال:
- إذا كان السعر الحالي أكبر من المتوسط المتحرك لمدة 50 شمعة، وحدث ذلك على التوالي لـ 30 شمعة، سيتم تفعيل صفقة شراء مع مستويات إيقاف الخسارة وأهداف الربح المعروضة على الرسم البياني.
---
#### 4. **المنطق وراء البيع**:
- يحدث العكس في حالة البيع. إذا كان السعر أقل من المتوسط المتحرك البسيط (**scond = price < ma**) وتحقق هذا الشرط لعدد من الشموع يساوي **Quantity_of_deals**، يتم تفعيل صفقة بيع باستخدام أمر: `strategy.entry("SELL", strategy.short)`.
- يتم حساب مستويات إيقاف الخسارة وأهداف الربح وفقًا للقيم المدخلة من المستخدم، وتظهر هذه المستويات على الرسم البياني.
---
#### 5. **إظهار الخطوط والملصقات**:
- يتم رسم الخطوط والملصقات على الرسم البياني لإيضاح المستويات (SL و TP) باستخدام دوال `line.new` و `label.new`.
- يمكنك التحكم في إظهار أو إخفاء هذه الخطوط والملصقات عن طريق الخيارات **show_SL_buy**, **show_TP1_buy**, **show_SL_sell**, إلخ.
##### مثال:
- إذا تم تفعيل خيار **show_SL_buy**، سيظهر خط إيقاف الخسارة للشراء على الرسم البياني بلون أحمر مع ملصق يُظهر "SL".
- يتم تكرار نفس الشيء لأهداف الربح (TP1, TP2, إلخ) وخطوط البيع.
---
#### 6. **ألوان المكونات**:
- الألوان لكل مستوى يمكن تخصيصها. على سبيل المثال:
- **SL_1**: لون إيقاف الخسارة للشراء (أحمر).
- **TP_1**: لون هدف الربح الأول للشراء (أخضر).
- **short1**: لون صفقة البيع.
---
### المزايا:
- التحكم الكامل في مستويات الربح والخسارة.
- إمكانية تخصيص عدد الصفقات المطلوبة لتفعيل إشارة الدخول.
- إظهار أو إخفاء المستويات على الرسم البياني وفقًا لرغبة المستخدم.
---
### الخلاصة:
هذه الاستراتيجية تعتمد على المتوسط المتحرك البسيط (SMA) لعدد معين من الشموع كإشارة دخول، سواء للشراء أو البيع. يتم تعيين مستويات الربح والخسارة يدويًا، مع توفير مرونة عالية في إظهار الخطوط والملصقات على الرسم البياني.
Bidirectional Trend Reversal StrategyBidirectional Trend Reversal Strategy
This strategy aims to identify potential trend reversals and execute trades accordingly, focusing on both long and short positions. It uses a crossover of the Simple Moving Average (SMA) with price action as a key signal. When the price crosses above the SMA and the previous period was bearish (closed lower than it opened), the script opens a long position ("o-Long"). The exit ("e-Long") occurs when the target or stop-loss levels are hit, which are dynamically set using the ATR (Average True Range).
For short trades, when the price crosses below the SMA and the previous period was bullish (closed higher than it opened), the script opens a short position ("o-Short"). The exit ("e-Short") follows the same ATR-based logic for stop-loss and take-profit.
All settings, including SMA and ATR parameters, are fully customizable, allowing users to adapt the strategy to different market conditions and personal trading preferences.
This approach provides a systematic way to capture trend reversals and manage trades with clear entry and exit signals based on market momentum and volatility.
Example Setup:
Market: Forex
Pair: USD/GBP
Order size: 100,000 Contracts (1 Lot)
Timeframe: 15 minutes
SMA: 93
ATR Length: 15
Stop-Loss (ATR Multiplier): 7
Take-Profit Multiplier: 2
Experiment with different settings to achieve the best results for your trading style and market conditions.
Bull Bear Power With EMA FilterDescription of Indicator:
This Pine Script indicator colors price bars based on the open price in relation to custom moving averages (EMA/SMA), Bull/Bear Power (BBPower), and an optional VWAP filter. The bar colors help identify bullish and bearish conditions with added visual cues for price positioning relative to VWAP.
Key Features:
Customizable Moving Averages (EMA/SMA):
The user can select between EMA or SMA for both short-term and long-term moving averages.
Default moving averages are set to 5 (short-term) and 9 (long-term) but can be adjusted by the user.
Bullish Condition (Blue or Purple Bars):
A bar is colored blue if the following conditions are met:
The open price is above both the short-term and long-term moving averages.
The short-term moving average (MA 1) is above the long-term moving average (MA 2).
BBPower (open price minus the 13-period EMA) is positive, indicating bullish strength.
If the VWAP filter is enabled and the price opens below VWAP, the bullish bars will turn purple.
Bearish Condition (Yellow or Orange Bars):
A bar is colored yellow if the following conditions are met:
The open price is below both the short-term and long-term moving averages.
The short-term moving average (MA 1) is below the long-term moving average (MA 2).
BBPower is negative or zero, indicating bearish market conditions.
If the VWAP filter is enabled and the price opens above VWAP, the bearish bars will turn orange.
VWAP Filter (Optional):
An optional filter allows the user to add VWAP (Volume-Weighted Average Price) to the bar coloring logic.
When the VWAP filter is enabled, it provides additional information about price positioning relative to VWAP, turning bullish bars purple and bearish bars orange depending on whether the price opens above or below VWAP.
Usage:
Bullish Trend: Look for blue or purple bars to identify potential bullish momentum.
Bearish Trend: Look for yellow or orange bars to spot bearish conditions in the market.
The indicator allows users to customize the length and type of moving averages (EMA or SMA), as well as decide whether to apply the VWAP filter.
This indicator provides traders with clear visual signals to quickly assess the strength of bullish or bearish conditions based on the price's position relative to custom moving averages, BBPower, and VWAP, helping with trend identification and potential trade setups.
Hull MA with Alerts and LabelsThis script is designed to help traders visually track market trends using various types of moving averages (MAs) and to receive alerts when certain conditions are met. Here’s a detailed breakdown of how the script works:
1. User Inputs and Customization:
MA Length: Traders can define the length of the moving average (default is 100).
Confirmation Candles: The trader can specify how many candles must confirm a trend before the script triggers a signal (default is 1).
MA Variation: The trader can choose between different moving average types: Simple Moving Average (SMA), Exponential Moving Average (EMA), Weighted Moving Average (WMA), or Hull Moving Average (HMA).
Source: Traders select the price source for the moving average calculation (e.g., close price).
Ribbon Transparency: Allows control over the transparency level of the ribbon plotted between the moving averages.
Bullish/Bearish Ribbon Colors: The user can choose the colors for bullish and bearish trends.
2. Moving Average Calculations:
The script provides multiple options for calculating moving averages:
SMA (Simple Moving Average)
EMA (Exponential Moving Average)
WMA (Weighted Moving Average)
HMA (Hull Moving Average)
For the Hull Moving Average (HMA), it uses a specific formula that smoothens the movement and reduces lag, which is helpful for more reactive trend detection.
3. Plotting Moving Averages and Trend Ribbon:
The script calculates two key moving averages:
MHULL: The main moving average, selected based on the user’s chosen MA variation and source.
SHULL: A shifted version of the MHULL to help compare trends (shifted by 2 bars).
These two moving averages are plotted on the chart for visualization. MHULL is plotted in green (or another color if changed), while SHULL is plotted in red. A ribbon is drawn between MHULL and SHULL to indicate trends visually. The ribbon changes color depending on whether the trend is bullish (MHULL > SHULL) or bearish (MHULL < SHULL). The ribbon’s transparency can be adjusted for visual clarity.
4. Trend Detection:
Bullish Trend: The script checks if the price has closed above MHULL for the defined number of confirmation candles. If confirmed, a bullish trend is detected.
Bearish Trend: Similarly, the script checks if the price has closed below SHULL for the confirmation period, indicating a bearish trend.
The script tracks whether the market is in a bullish or bearish trend and prevents repeated signals by remembering the current trend state.
5. Alerts and Labels:
Bullish Alerts and Labels: When a confirmed bullish trend is detected (i.e., price closes above MHULL for the entire confirmation period and MHULL > SHULL), the script triggers an alert notifying the trader of the bullish condition. A "BULLISH" label is placed on the chart near the low of the candle where the trend was confirmed.
Bearish Alerts and Labels: If a confirmed bearish trend is detected (i.e., price closes below SHULL for the confirmation period and MHULL < SHULL), the script triggers an alert for the bearish condition. A "BEARISH" label is placed on the chart near the high of the candle where the trend was confirmed.
These alerts and labels help traders act quickly on trend changes and align their trading strategy with market conditions.
6. Practical Use for Traders:
For traders, this script offers:
Customizability : It allows traders to define the length and type of moving averages, choose price sources, and control how signals are confirmed.
Visual Trend Representation : The plotted MA lines and colored ribbons help traders easily see market direction.
Early Warnings : With alerts and labels, the script gives traders early signals when trends are shifting, allowing them to adjust positions accordingly.
Trend Confirmation : The script waits for a user-defined number of confirmation candles before signaling a new trend, reducing false signals.
Overall, the script helps traders automate their strategy by tracking moving averages and alerting them when key trend conditions are met.
Pink's Daily SMA Script🚗 This script provides a customizable overlay of seven simple moving averages (SMAs) on the chart. Users can control the display of each SMA by toggling them on or off. The lengths of these SMAs are adjustable, allowing for tailored analysis based on individual preferences.
📊 The script calculates daily SMA values using the request.security() function and plots them as horizontal lines on the chart. These SMAs are updated once per day, typically at the start of the pre-market session (9:00 AM in the "America/New_York" timezone). The script resets the SMA values at the start of each new day, ensuring fresh data for daily analysis.
🕒 In addition to the SMAs, the script includes an optional feature that highlights specific time ranges on the chart: from 11:00 AM to 11:05 AM and from 1:00 PM to 1:30 PM (based on the "America/New_York" timezone). Users can toggle these background highlights on or off, providing visual cues for key times during the trading day. The 11:00 AM window is highlighted in gray, while the 1:00 PM window is highlighted in blue.
🔖 The SMAs are labeled on the right side of the chart, with only one label visible at a time for each SMA. These labels display the length of the respective SMA, and their colors match the lines drawn on the chart, helping to distinguish between the different SMAs.
Special thanks to Pinks333 (www.tradingview.com)
Who provided the logic for the script and was willing to share her logic and open source the script.
Dynamic ConfluenceThe Dynamic MA Confluence Indicator is a powerful tool designed to simplify your trading experience by automatically identifying the most influential moving average (MA) lengths on your chart. Whether you're using Simple Moving Averages (SMA) or Exponential Moving Averages (EMA), this indicator helps you pinpoint the MA length that holds the greatest confluence, allowing you to make informed trading decisions with ease.
How It Works:
This indicator analyzes a wide range of moving averages, from short-term to long-term, to determine which ones are closest to each other. By setting a "Proximity Percentage," you can control how close these MAs need to be to be considered as having confluence. The indicator then calculates the average of these close MAs to establish a dynamic support or resistance level on your chart.
Why Use This Indicator?
Automatic Optimization: Unsure of which MA length to apply? The indicator automatically highlights the MA length with the most confluence, giving you a clear edge in identifying significant market levels.
Adaptability: Choose between SMA and EMA to suit your trading strategy and market conditions.
Enhanced Decision-Making: By focusing on the MA length with the greatest influence, you can better anticipate market movements and adjust your strategies accordingly.
Customizable Sensitivity: Adjust the Proximity Percentage to fine-tune the indicator's sensitivity, ensuring it aligns with your trading preferences.
Key Feature:
Current Key Confluence MA Length: Displayed in an optional table, this feature shows the MA length that currently has the most impact on the confluence level, providing you with actionable insights at a glance.
Whether you're a seasoned trader or just starting, the Dynamic MA Confluence Indicator offers a streamlined approach to understanding market dynamics, helping you trade smarter and with more confidence. This presentation text is designed to clearly communicate the purpose, functionality, and benefits of the indicator, making it easy for users to understand its value and how it can enhance their trading strategies.
The Dynamic MA Confluence Indicator is a tool designed to assist traders in analyzing market trends. It should not be considered as financial advice or a guarantee of future performance. Trading involves significant risk, and it is possible to lose more than your initial investment. Users should conduct their own research and consider their financial situation before making trading decisions. Always consult with a financial advisor if you are unsure about any trading strategies or decisions. This disclaimer is intended to remind users of the inherent risks in trading and the importance of conducting their own due diligence.
Hedge Fund D. Multiple | viResearchHedge Fund D. Multiple | viResearch
Conceptual Foundation and Innovation
The "Hedge Fund D. Multiple" indicator from viResearch is designed as a comprehensive tool for trend analysis and volatility synchronization across multiple market components. Central to this tool is the D. Multiple, a unique multiplier that simultaneously controls various moving averages, smoothing factors, and volatility measures, ensuring all components remain synchronized. By adjusting this single multiplier, traders can modify the indicator’s sensitivity and adaptability across different market conditions. This cohesive control system streamlines market analysis, making the tool highly effective in professional settings, such as hedge fund environments where swift adjustments are essential.
This indicator was developed as part of a final project study during my time working at a hedge fund, where precision, flexibility, and the ability to control multiple variables in sync were key. The D. Multiple provides a streamlined mechanism to harmonize various elements, allowing for precise yet adaptable market analysis.
Technical Composition and Calculation
The "Hedge Fund D. Multiple" script utilizes the D. Multiple to influence the behavior of several key components, including the Double Hull Moving Average (DHMA), Double Exponential Moving Average (DEMA), standard deviation, and percentile-based median. By applying the D. Multiple across these components, the script ensures that their calculations and sensitivities are synchronized, creating a unified approach to market trend and volatility analysis.
The DHMA and DEMA, which filter market noise while responding quickly to price changes, are both smoothed using lengths dictated by the D. Multiple. The DEMA's smoothing is further applied to generate a dynamic median based on percentiles, providing a clearer central value from which trend deviations are measured. This dynamic median helps traders spot significant price movements that deviate from normal market behavior, aiding in identifying trend reversals.
The D. Multiple also governs the length of the standard deviation calculations, ensuring that the volatility measurements adjust in step with the trend detection methods. This ensures that the volatility-adjusted boundaries reflect real-time market conditions, providing clear thresholds for price action. The D. Multiple controls all of these elements in sync, ensuring the system operates cohesively across trend, volatility, and smoothing components.
Features and User Inputs
The "Hedge Fund D. Multiple" script is built around the D. Multiple input, which allows traders to control the sensitivity of all components at once. By adjusting this multiplier, users can modify the behavior of the DHMA, DEMA, standard deviation ranges, and percentile-based calculations. Additionally, the script provides custom thresholds for defining trend detection and volatility boundaries, enabling traders to tailor the indicator to their specific trading strategies and market conditions.
Practical Applications
The "Hedge Fund D. Multiple" indicator is particularly valuable for professional traders and hedge fund managers who require an efficient yet powerful tool for analyzing market trends and volatility. The D. Multiple simplifies the process of adjusting multiple parameters simultaneously, giving traders greater control over their analysis. This makes the indicator especially effective for:
Adjusting Sensitivity to Market Conditions: The D. Multiple allows traders to fine-tune the entire system’s sensitivity with a single input, enabling them to switch between short-term and long-term analysis easily.
Trend Detection and Reversal Signals: The dynamic median and volatility-adjusted boundaries help provide clear signals when the market is overbought or oversold, improving the accuracy of trend reversal detection.
Managing Volatility in Sync: The D. Multiple controls the volatility measurements and ensures they are synchronized with the trend detection methods, giving traders a clearer view of the market’s risk profile and helping them time their entries and exits more effectively.
Advantages and Strategic Value
The "Hedge Fund D. Multiple" script offers significant advantages by integrating multiple layers of analysis into a single, adaptable tool. The D. Multiple reduces the complexity of adjusting various moving averages, smoothing processes, and volatility measures, offering traders increased precision and control. This synchronization of components makes the indicator a versatile tool that reacts cohesively to market conditions. Developed during a hedge fund project, this tool reflects the adaptability and precision required in professional trading environments. The ability to control multiple components through a single multiplier makes this script particularly effective for hedge fund managers and professional traders looking for a sophisticated yet manageable system for market analysis.
Alerts and Visual Cues
The script includes built-in alert conditions that notify traders when significant trend shifts occur. The "Hedge Fund D. Multiple Long" alert is triggered when an uptrend is detected, while the "Hedge Fund D. Multiple Short" alert signals a potential downtrend. Visual cues, including color changes and shaded volatility zones on the chart, help traders quickly assess market conditions and make timely decisions.
Summary and Usage Tips
The "Hedge Fund D. Multiple | viResearch" indicator provides a streamlined solution for market analysis by integrating trend detection, volatility management, and dynamic smoothing through the use of the D. Multiple. By incorporating this script into your trading strategy, you can adjust multiple components simultaneously, improving your ability to detect trend reversals and manage risk effectively. The "Hedge Fund D. Multiple" offers a powerful, customizable tool that is particularly suited to professional traders who need precision and adaptability in volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Kenji Indicator Version 2.0KenJi Indicator Version 2.0
Indicator Class : Average analysis/trend following
Trading type : Any
Time frame : Any
Purpose : Trend-based trading
Level of aggressiveness : Flexible
Introduction
The basic rule of trading is as follows: "trend is your friend." Means, it is extremely important to follow the current market sentiments rather than resisting them. Following this principle allows a trader to feel as comfortable as possible during the trading: positions typically are in a profit zone and there is no psychological pressure of a negative financial result that often leads to hasty position closures.
Despite the advantages of trend-following strategies, many traders struggle to accurately identify the prevailing trend and market sentiments, resulting in bad trading decisions and, consequently, unfavorable trading outcomes.
To address these challenges, streamline the analysis process, and enhance the overall quality of trading decisions, our team of analysts has developed The KenJi Indicator Version 2.0.
About the KenJi Indicator Version 2.0
The KenJi Indicator Version 2.0 offers a novel approach to traditional average-based analysis. Many conventional strategies relying on averages tend to generate numerous false signals, especially in “flat” markets where frequent crossovers and shifts in direction are common. This reduces the overall effectiveness of average analysis.
The KenJi Indicator Version 2.0 addresses these issues by incorporating a unique algorithm, which combines correlation and moving average analysis to avoid the pitfalls of traditional methods. It accurately identifies market conditions—indicated by colors: red for a downtrend, blue for an uptrend, and green for a “flat” market—thereby improving the quality of signals and helping traders manage trends more effectively.
The KenJi Indicator Version 2.0 indicator not only identifies optimal entry points but also assists in timing exits for profit-taking. Moreover, it assesses the aggressiveness of signals, making it suitable for both novice and experienced traders.
Trading Rules
Using the KenJi Indicator Version 2.0 is straightforward. When the price enters the buy or sell zone—represented by a blue or red area between the fast and slow averages—it generates a signal to enter a position. This position remains active until the market condition changes (such as a shift from a downtrend to “flat”) or until a close signal appears, indicated by a significant divergence shown by a blue or red cross.
Indicator Structure
The KenJi Indicator Version 2.0 consists of colored zones, level lines and stop crosses:
Trend Zones : These are color-coded (blue, red, or green) to highlight trend conditions and entry points.
Level Lines : The lines indicate the nearest support/resistance lines (red for resistance, blue for support). Available for 4H time-frame and below
Stop Crosses : Blue or Red crosses are displayed on the Chart to show the moments of extreme price divergence from the current trend. A good moment to fix profits.
For ease of use, the indicator shows buy and sell signals directly on the chart.
Signal Types:
Standard : Uses the basic lot size for trades.
Aggressive : Uses double the standard lot size for higher risk/reward trades.
Profit zones are marked by blue/red x-crosses: red x-crosses indicate "sell" take-profit zones, while blue x-crosses indicate "buy" take-profit zones.
Alerts and Notifications
The indicator includes built-in alerts and notifications, ensuring traders don’t miss any "buy" or "sell" signals.
Input Parameters
The KenJi Indicator Version 2.0 offers several input parameters for customization:
Slow Average Period : Defines the period for the slow average. Longer periods provide a more stable, conservative response to price changes.
Fast Average Period : Defines the period for the fast average. Similar to the slow average, a longer period provides more conservative signals.
Correlation Period : Used to calculate the Pearson correlation coefficient and estimate the relationship between the fast and slow averages, improving trend identification.
Divergence Sensitivity : Determines the placement of take-profit zones, with higher values increasing the distance of these zones.
Access to the KenJi Indicator Version 2.0
For more information or to request access to the Kenji 2.0 Indicator, please send inquiries via private messages.
PATTERNPULSE / Stttrading F.VelazquezPATTERNPULSE
Discover a powerful tool for market analysis with the Velas Engulfing + RSI Indicator. Crafted by Stttrading Franco Velazquez, this indicator seamlessly blends engulfing candle patterns with the precision of the RSI filter. What sets it apart is its unique approach – signals are exclusively generated when the RSI reaches overbought or oversold conditions, providing a distinctive edge over conventional engulfing candle indicators.
Key Features :
Engulfing Candle Patterns: Identify both bullish and bearish engulfing candle formations.
RSI Integration: Harness the strength of the RSI indicator to evaluate market momentum and potential reversals.
Visual Signals: Enjoy clear and intuitive signals directly on your chart for seamless decision-making.
Configurable Alerts: Tailor the indicator to your preferences with customizable alerts for timely notifications.
Usage Instructions:
Engulfing Candles:
Visualize bullish and bearish candles through green and red triangles, respectively.
Capitalize on buying opportunities when bullish candles emerge and consider selling when bearish candles unfold.
RSI Indicator:
Leverage the RSI indicator to gauge overbought and oversold market conditions.
Fine-tune RSI levels based on your trading strategy and risk tolerance.
Alert System:
Set up alerts to stay informed about crucial market movements, ensuring you never miss a trading opportunity.
Custom Configuration:
RSI Source: Customize the data source for RSI calculations to suit your analysis.
RSI Length: Define the length of the RSI period for precise adjustments.
RSI Overbought and Oversold Levels: Tailor the overbought and oversold RSI thresholds to align with your trading preferences.
Important Note: Always conduct thorough analysis and implement proper risk management before executing trades.
Volume Profile in PatternPulse:
In the paid version of the PatternPulse indicator, an advanced Volume Profile tool is included, offering a detailed view of how volume is distributed across different price levels over a specific period. Here's how it works:
Show Volume Profile: You can toggle the display of the volume profile on the chart using the Show VP option.
Depth and Number of Bars Configuration: The tool allows you to adjust the Volume Profile Lookback Depth, which defines how many periods back will be analyzed to calculate the volume profile. You can also set the number of bars (VP Number of Bars) to be displayed on the chart, as well as the bar length and width to customize its appearance.
Delta Type: You can choose from different delta types for the volume profile: Bullish, Bearish, or Both. This enables you to focus on volumes associated with bullish price movements, bearish movements, or both.
Point of Control (POC): The tool also offers an option to extend the Point of Control (POC) line on the volume profile. The POC represents the price level with the highest traded volume during the analyzed period.
Customizable Colors: You can customize the colors of the volume profile bars and the Point of Control (POC) to match your visual preferences.
How to Use It:
The volume profile helps identify price levels where significant volume has been traded, which can be crucial for determining key support and resistance levels in the market. Adjust the parameters to fit your needs for a clear and precise visualization that supports your technical analysis.
Info Box in PatternPulse
In the paid version of PatternPulse, you'll find an info box that provides a comprehensive view of various market aspects. Here's how it works:
General Information: At the top of the info box, you'll see the title "PATTERNPULSEVIP® Info. BOX" in grey with orange text. This title helps you identify that you are viewing the information section.
CCL Dollar: The info box displays the value of the CCL (Contado con Liquidación) dollar for Argentina, which is an important reference for investors in that market.
Indices and Metals: This section includes information on the US Dollar Index (DXY), the Euro Index (EXY), as well as the prices of gold and silver.
Crypto Dominance: Here, you'll see the dominance of Bitcoin (BTC) and Ethereum (ETH) in the cryptocurrency market, helping you understand the influence of these cryptocurrencies on the global market.
MACD: The info box shows the current MACD (Moving Average Convergence Divergence) trend. The trend can be bullish or bearish, providing additional insight into market direction.
RSI: The current RSI (Relative Strength Index) value is also displayed. If the RSI indicates overbought conditions (above 75), the info box will turn teal with white text. If it indicates oversold conditions (below 25), the info box will turn maroon with white text.
Customization: You can adjust the horizontal offset of the info box from the chart and change the style and color of the text to suit your visual preferences.
This info box provides key data at a glance, making it easier to make informed decisions in your technical analysis. Adjust the settings according to your needs to get the most relevant information for your trading strategy.
Bollinger Bands in PatternPulse
In the paid version of PatternPulse, we’ve added the Bollinger Bands (BB) indicator to help you analyze market volatility and trends. Here’s a breakdown of how to use it:
1. Display Options:
Show BB: You can toggle the visibility of the Bollinger Bands on your chart using the "Show BB" option.
2. Configuration:
Length: Adjust the length of the moving average used to calculate the Bollinger Bands. The default is set to 20 periods, but you can modify it to fit your trading strategy.
Source: Choose the data source for the Bollinger Bands calculation, with the default being the closing price.
Standard Deviation: Set the number of standard deviations away from the moving average for the upper and lower bands. The default is 2.0, which is commonly used.
3. Plotting:
Basis: The middle line (basis) of the Bollinger Bands is plotted, which is a simple moving average (SMA) of the specified length.
Upper and Lower Bands: The upper and lower bands are plotted based on the standard deviation from the basis line.
Offset: Adjust the horizontal position of the bands on your chart to better align with your analysis needs.
4. Visualization:
Color: The Bollinger Bands and their background fill are color-coded for easy interpretation. The default colors are shades of blue, but you can customize them if needed.
These Bollinger Bands will help you to visualize price volatility and identify potential market opportunities based on how the price interacts with these bands. Adjust the settings according to your trading preferences to get the most out of this feature.
Parabolic SAR in PatternPulse
In the advanced version of PatternPulse, we've added the Parabolic SAR (PSAR) to help you identify potential trend changes in the market. Here's how this tool works:
1. Activating the Indicator:
Show PSAR: You can toggle the visibility of the Parabolic SAR using the "Show PSAR" option. This controls whether the indicator is displayed on your chart.
2. PSAR Settings:
Start: Adjust the initial value for the PSAR calculation. This value sets the starting point for the acceleration of the indicator.
Increment: Defines the rate at which the PSAR increases. This value increases the acceleration parameter with each new high or low.
Maximum Value: Sets the upper limit for the acceleration parameter. This prevents the indicator from moving too quickly in high-volatility conditions.
3. Visualization:
Color of the Dots: The PSAR dots are displayed in teal if the indicator is below the closing price, indicating a bullish trend. They are shown in maroon if the indicator is above the closing price, indicating a bearish trend.
How to Use It: The Parabolic SAR is useful for identifying potential reversal points in the market. When the indicator switches position relative to the price, it can signal a potential trend change. Use this indicator in conjunction with other analysis tools to make more informed trading decisions.
User Explanation EMAs
This part of the indicator utilizes Exponential Moving Averages (EMAs) to help you identify trends and potential entry or exit points in the market. Here’s how they work and how you can customize them:
What are EMAs?
Exponential Moving Averages (EMAs) are indicators that smooth out historical prices to identify the direction of the trend. Unlike Simple Moving Averages, EMAs give more weight to recent prices, making them more responsive to current price changes.
How Each EMA Works:
1° EMA (Adjustable Length):
Purpose: The first EMA provides a short-term view and can help identify recent movements and potential quick trend changes.
Customization: You can adjust the length of this EMA (number of periods) using the "1° EMA length" option.
2° EMA (Adjustable Length):
Purpose: The second EMA acts as a smoother filter, helping to confirm or discredit signals from the first EMA.
Customization: Adjust its length with "2° EMA length".
3° EMA (Adjustable Length):
Purpose: The third EMA provides a longer-term view, helping to identify mid-term trends and significant turning points.
Customization: Modify its length via "3° EMA length".
4° EMA (Adjustable Length):
Purpose: The fourth EMA represents the long-term trend, offering a perspective on the market’s overall direction.
Customization: Change its length using "4° EMA length".
Customizable Colors:
You can choose the colors for each EMA through the provided color options. This allows you to distinguish each EMA on your chart easily and customize its appearance according to your preferences.
EMA Crosses:
Small Crosses (1° and 2° EMAs):
Functionality: When the 1° EMA crosses above the 2° EMA, it may signal a buy (bullish cross). When it crosses below, it may signal a sell (bearish cross).
Visualization: You can enable or disable the display of these small crosses.
Large Crosses (3° and 4° EMAs):
Functionality: Crosses between the 3° and 4° EMAs help identify more significant trend changes. A bullish cross may indicate an uptrend, while a bearish cross may signal a downtrend.
Visualization: You can also enable or disable these large crosses on your chart.
How to Use This Information:
Trend Identification: EMAs help you see whether the market is in an uptrend or downtrend, and crosses between them can indicate potential trading opportunities.
Entry/Exit Signals: Crosses between EMAs can signal optimal times to enter or exit a position.
This set of EMAs provides you with a clear view of different time frames in the market, allowing you to make more informed trading decisions based on the current trend and price changes.
Support and Resistance
Support and Resistance levels are essential tools in technical analysis, helping traders identify key price levels where the market might reverse or pause. This feature of the indicator provides visual markers for these levels and tracks how the price interacts with them.
Parameters:
Lookback Range: Defines the number of bars to look back when identifying pivot points. A larger value considers more historical data.
Bars Since Breakout: Determines how many bars should have passed since a breakout to detect a potential retest.
Retest Detection Limiter: Limits the number of bars actively checked for confirming a retest after a breakout.
Breakouts and Retests: Options to enable or disable detection for breakouts and retests.
Repainting: Controls how the indicator updates based on different criteria such as candle confirmation or high/low values. This affects how often and in what way the indicator adjusts its markings.
Pivot Points:
Pivot Low and High: The indicator identifies key support (pivot lows) and resistance (pivot highs) points based on the historical price action within the defined lookback range.
Boxes and Labels:
Drawing Boxes: Visual boxes are drawn to represent support and resistance levels. These boxes adjust dynamically with price changes and can extend based on user settings.
Breakout Labels: Labels are created when a breakout occurs, marking the point where the price crosses these support or resistance levels.
Retest Labels: When a potential retest is detected, the indicator can label it to signal areas where the price might test the broken support or resistance.
Customization Options:
Box and Label Styling: Users can customize the style, color, and size of the boxes and labels representing support and resistance.
Text Color Override: Option to change the color of text labels independently from the default color settings.
Key Benefits:
Visual Clarity: Easily identify important levels on the chart.
Dynamic Updates: Levels adjust as new price data comes in, providing relevant and up-to-date information.
Customization: Tailor the appearance and behavior of the support and resistance markings to fit your trading style.
This feature enhances your chart analysis by clearly marking critical levels and events, making it easier to spot potential trading opportunities.
Explanation of the Simple Moving Averages (SMA) Functionality
Simple Moving Averages (SMAs) are technical analysis tools used to smooth out price data and identify market trends. This part of the code allows you to add two SMAs to the chart with customizable settings.
Configuration Parameters:
Show SMA 1 and SMA 2: Enables or disables the display of each moving average. You can choose to show SMA 1, SMA 2, or both on your chart.
SMA Length: Defines the number of periods used to calculate each SMA. For example, a length of 14 for SMA 1 and 50 for SMA 2. A longer length smooths the line more, while a shorter length follows price movements more closely.
SMA Source: Sets which price data (e.g., closing price) is used to calculate the SMA.
Color and Width of SMA: Allows you to customize the color and width of each SMA line to fit your visual preference or to clearly distinguish between different SMAs on the chart.
SMA Style: Provides options to change the line style of the SMA to solid, dashed, or dotted, so you can personalize the appearance according to your analysis style.
SMA Calculation:
Calculation: The SMA is calculated by averaging the closing prices (or selected source) over the specified number of periods. This helps to smooth out daily price fluctuations and reveals the overall trend.
Visualization:
Plot for SMA 1 and SMA 2: Draws the SMA lines on the chart according to the specified settings. If you choose to hide an SMA, it will not appear on the chart.
Line Style: The line is drawn according to the selected style (solid, dashed, or dotted), and you can adjust the thickness and color to suit your visual needs.
Key Benefits:
Trend Clarity: SMAs help smooth out price movement and allow you to see the general trend in the market.
Customization: You can adjust the length, color, thickness, and style of the lines to fit your analysis and visual preferences.
Facilitates Analysis: SMAs can be used to identify crossings and important trading signals, such as when a short-term SMA crosses above or below a longer-term SMA.
This functionality provides you with powerful tools to adjust and customize how moving averages are presented on your charts, making it easier to identify trends and signals in the market.
Thank you for exploring the features of our indicator! We hope you find the customization options and tools provided, including the Simple Moving Averages, valuable for your trading analysis. If you have any questions or need further assistance, please feel free to reach out.
We invite you to try out the complete PatternPulse indicator to experience its full range of functionalities and see how it can enhance your trading strategies. Your feedback is always appreciated!
Happy trading!
Stochastic RSI Strategy with Inverted Trend LogicOverview:
The Stochastic RSI Strategy with Inverted Trend Logic is a custom-built Pine Script indicator that leverages the Stochastic RSI and a 200-period moving average to generate precise buy and sell signals. It is specifically designed for traders looking to capture opportunities during short-term market movements while factoring in broader trend conditions.
Key Components:
Stochastic RSI:
Stochastic RSI is a momentum indicator that applies stochastic calculations to the standard Relative Strength Index (RSI), rather than price data. This makes it particularly sensitive to market momentum changes, which is essential for timing entries and exits.
K Line and D Line: The indicator calculates and smooths both the K and D lines to capture momentum shifts more accurately.
200-Period Moving Average:
The 200-period Simple Moving Average (SMA) is used as a trend filter.
If the price is above the 200-period SMA, the trend is considered bullish.
If the price is below the 200-period SMA, the trend is considered bearish.
Inverted Trading Logic:
The trading logic is inverted from traditional strategies:
Long trades are executed only when the market is in a bearish trend (price below the 200-period moving average).
Short trades are executed only when the market is in a bullish trend (price above the 200-period moving average).
This inversion allows traders to take advantage of potential trend reversals by entering positions in the opposite direction of the prevailing trend.
Trading Rules:
Long Trade Conditions (Buy Signal):
The Stochastic RSI K line must be below 5 for 4 consecutive candles (oversold condition).
The price must be below the 200-period SMA (indicating a bearish trend).
Once these conditions are met, the indicator will generate a buy signal on the close of the 4th candle.
Exit Condition: The long position is exited when the Stochastic RSI K line crosses above 50 (neutral level).
Short Trade Conditions (Sell Signal):
The Stochastic RSI K line must be above 95 for 4 consecutive candles (overbought condition).
The price must be above the 200-period SMA (indicating a bullish trend).
Once these conditions are met, the indicator will generate a sell signal on the close of the 4th candle.
Exit Condition: The short position is exited when the Stochastic RSI K line crosses below 50.
Visual Signals on the Chart:
Buy Signal:
A green triangle below the bar is displayed on the chart when a buy condition is met, indicating a potential long trade opportunity.
The text "BUY" is displayed for further clarity.
Sell Signal:
A red triangle above the bar is displayed on the chart when a sell condition is met, indicating a potential short trade opportunity.
The text "SELL" is displayed for further clarity.
How to Use the Indicator:
Attach the Indicator: Apply the indicator to your desired chart (works on any time frame, but is optimized for short- to medium-term trading).
Monitor Signals: Watch for buy and sell signals on the chart:
Buy Signal: Enter long positions when a green triangle appears below the candle.
Sell Signal: Enter short positions when a red triangle appears above the candle.
Exit Positions: Exit long positions when the Stochastic RSI crosses above the 50 level, and exit short positions when the Stochastic RSI crosses below the 50 level.
Indicator Display:
Stochastic RSI: A visual representation of the Stochastic RSI (K and D lines) is plotted below the price chart, with overbought (100), midpoint (50), and oversold (0) levels clearly marked.
200-period SMA: The 200-period moving average is plotted on the price chart, giving a clear indication of the broader trend direction (orange line).
Key Benefits:
Reversal Opportunities: This strategy allows traders to capture reversal trades by using an inverted logic where longs are taken in bearish conditions and shorts are taken in bullish conditions. This can help capitalize on potential trend exhaustion and reversals.
Clear and Simple Rules: The use of Stochastic RSI and the 200-period moving average ensures the strategy remains simple yet effective, making it easy for traders to follow.
Visual Alerts: The indicator provides clear buy and sell signals, making it easy for traders to spot trading opportunities in real-time without needing to monitor multiple conditions manually.
Limitations and Considerations:
Trend Changes: Since the strategy is designed to work during trend reversals, it might not perform as well during strong, prolonged trends where price continues moving in one direction without significant pullbacks.
Time Frame Suitability: While the indicator works on any time frame, shorter time frames may result in more frequent signals and higher trade frequency, whereas higher time frames will provide fewer but potentially stronger signals.
Conclusion:
The Stochastic RSI Strategy with Inverted Trend Logic is a powerful tool for traders looking to capture market reversals by entering trades against the prevailing trend direction based on momentum exhaustion. Its simple and clear logic, combined with easy-to-understand visual signals, makes it a versatile indicator for both novice and experienced traders.
Smoothed Wma Z-score | viResearchSmoothed Wma Z-score | viResearch
Conceptual Foundation and Innovation
The "Smoothed Wma Z-score" indicator from viResearch integrates the Weighted Moving Average (WMA) with Z-score analysis, providing traders with a precise tool for identifying market extremes and potential reversions. The WMA gives more weight to recent data, making it highly responsive to short-term price fluctuations, while the Z-score standardizes this price action relative to its historical mean and volatility. By smoothing the WMA and applying Z-score analysis, this indicator helps traders detect when the market is either overbought or oversold, offering actionable signals for mean reversion or trend continuation strategies.
The combination of WMA smoothing and Z-score analysis allows traders to better evaluate the strength of market trends while pinpointing moments when price may be stretched beyond its typical range.
Technical Composition and Calculation
The "Smoothed Wma Z-score" script consists of two primary components: the Weighted Moving Average (WMA) and the Z-score. The WMA is calculated using a user-defined period, applying more weight to recent price data to provide a smoothed representation of the price trend. The Z-score is then derived by measuring how far the current WMA deviates from its historical mean, normalized by its standard deviation over a specified lookback period. This calculation gives a standardized measure of price extremes, allowing traders to determine whether the current price is statistically far from its norm.
The script compares the Z-score with customizable threshold levels to generate buy and sell signals. A Z-score exceeding the upper threshold suggests potential overbought conditions, while a Z-score below the lower threshold may indicate oversold conditions. Additionally, the script highlights areas where price is in the "mean reversion zone," helping traders anticipate when price might revert back to its average.
Features and User Inputs
The "Smoothed Wma Z-score" script offers several customizable inputs, enabling traders to tailor the indicator to their specific trading strategies. The WMA Length determines the sensitivity of the WMA to price changes, while the Lookback Period controls the range over which the mean and standard deviation of the WMA are calculated for the Z-score. Traders can also adjust the thresholds to define the sensitivity of overbought and oversold conditions. Furthermore, the script includes alert conditions that notify traders when trend shifts occur, allowing for timely responses to market movements.
Practical Applications
The "Smoothed Wma Z-score" indicator is designed for traders who focus on identifying price extremes and potential mean reversion opportunities. By combining WMA smoothing with Z-score analysis, this tool can be particularly effective for detecting points of overextension in the market, where a reversion to the mean is likely. The indicator is valuable for traders who seek to capitalize on:
Detecting Overbought and Oversold Conditions: The Z-score measures how far the price has deviated from its norm, allowing traders to identify overbought or oversold conditions with precision. Timing Market Reversals: The indicator provides early signals of potential market reversals by highlighting when the price has moved too far away from its average, helping traders anticipate reversion opportunities. Improving Trend Continuation Strategies: The WMA’s responsiveness to recent price changes, combined with the Z-score’s ability to measure deviations, offers traders a clearer understanding of whether a trend is likely to continue or if it’s overextended.
Advantages and Strategic Value
The "Smoothed Wma Z-score" script provides significant value by integrating WMA smoothing with Z-score analysis, delivering a powerful combination for traders seeking to identify extreme price movements. The ability to smooth price data while detecting statistically significant deviations ensures that traders are better equipped to spot reversals or continuation signals. This dual approach helps reduce noise in price data while offering a robust method for timing entries and exits, making the "Smoothed Wma Z-score" a versatile tool for both mean reversion and trend-following strategies.
Alerts and Visual Cues
The script includes alert conditions that notify traders when key thresholds are crossed. The "Smoothed Wma Z-score Long" alert is triggered when the Z-score moves above the upper threshold, signaling potential overbought conditions. The "Smoothed Wma Z-score Short" alert is activated when the Z-score drops below the lower threshold, indicating possible oversold conditions. Visual cues, such as color changes in the Z-score plot and highlighted mean reversion zones, help traders quickly identify critical market conditions and make timely decisions.
Summary and Usage Tips
The "Smoothed Wma Z-score | viResearch" indicator provides traders with a powerful tool for analyzing price extremes and identifying mean reversion opportunities. By incorporating this script into your trading strategy, you can improve your ability to spot overbought and oversold conditions, timing market reversals with greater accuracy. The "Smoothed Wma Z-score" is a reliable and customizable solution for traders focused on both mean reversion and trend-following strategies in volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Pseudo-Renko Stabilized (Val)█ CALCULATE PSEUDO-RENKO VALUE
Calculates and returns the Pseudo-Renko Stabilized value (or close price) based on a given input value, along with the direction of the current Renko brick. This function adapts the traditional Renko brick size dynamically based on the volatility of the input value using a combination of SMA and EMA calculations. The calculated price represents the closing price of the most recent Pseudo-Renko brick, while the direction indicates the trend ( 1 for uptrend, -1 for downtrend).
Parameters:
* `val` :
* Type: ` float `
* Description: The input value upon which the Pseudo-Renko calculations are performed. You can use any price series or custom value as input.
* `sensitivity` :
* Type: ` float `
* Default Value: ` 1.0 `
* Description: Controls the sensitivity of the brick size to the volatility of the `val`. Higher values lead to larger bricks, resulting in a smoother Renko chart. Lower values produce smaller bricks, leading to a more reactive chart.
* Possible Values: Any positive float.
* `length` :
* Type: ` int `
* Default Value: ` 7 `
* Description: The length used for calculating the EMA and SMA in the dynamic brick size calculation. It influences how quickly the brick size adapts to changing volatility of the `val`.
* Possible Values: Any positive integer.
Return Values:
* `lastRenkoClose` :
* Type: ` float `
* Description: The closing price of the last completed Pseudo-Renko brick based on the `val`.
* `renkoDirection` :
* Type: ` int `
* Description: The direction of the current Pseudo-Renko brick based on the `val`:
* ` 1 `: Uptrend
* ` -1 `: Downtrend
* ` 0 `: No change (initially, or no brick change since the previous bar)
Example Usage:
//@version=5
indicator("Pseudo-Renko Stabilized (Val)", overlay=true)
// Get user inputs
sensitivityInput = input.float(0.1, "Sensitivity",0.01,step=0.01)
lengthInput = input.int(5, "Length",2)
// Example usage with the 'close' price as the input value
= pseudo_renko(math.avg(close,open), sensitivityInput, lengthInput)
// Plot the Renko close price
plot(renkoClose, "Renko Close", renkoDirection>0?color.aqua:color.orange,2)
// You can also use other values as input, such as:
// = pseudo_renko(high, sensitivityInput, lengthInput)
// = pseudo_renko(low, sensitivityInput, lengthInput)
This example demonstrates how to use the `pseudo_renko` function within an indicator. It takes user inputs for `sensitivity` and `length`, then calculates the Pseudo-Renko values using the average of the `close` and `open` prices as the `val`. The resulting `renkoClose` price is plotted on the chart, with a color change based on the `renkoDirection`. It also illustrates how you can use other values, like `high` and `low`, as input to the function.
Note: The Pseudo-Renko algorithm is based on adapting the Renko brick size dynamically based on the input `val`. This provides more flexibility compared to the normal, but is experimental. The `sensitivity` and `length` parameters, along with the choice of the `val`, offer further customization to tune the algorithm's behavior to your preference and trading style.
Dema EFI Volume | viResearchDema EFI Volume | viResearch
Conceptual Foundation and Innovation
The "Dema EFI Volume" indicator from viResearch integrates the Double Exponential Moving Average (DEMA) with the Elder Force Index (EFI), providing a dynamic approach to analyzing both price trends and volume strength. The DEMA is applied to smooth out price fluctuations while minimizing lag, which enhances the ability to detect trend direction. The EFI, developed by Dr. Alexander Elder, measures the power behind price movements by incorporating both price change and volume. This indicator, when combined with DEMA smoothing, gives traders a more accurate understanding of whether the current price movements are supported by significant volume, helping them make more informed trading decisions. The combination of DEMA and EFI allows traders to track trend strength while assessing the market’s volume dynamics, offering a more reliable method for identifying potential trend continuations or reversals.
Technical Composition and Calculation
The "Dema EFI Volume" script consists of two key components: the Double Exponential Moving Average (DEMA) and the Elder Force Index (EFI). The DEMA is applied to the selected source price over a user-defined length, providing a smoothed representation of price movements while reducing the noise that can occur with traditional moving averages. The EFI is calculated by multiplying the change in the DEMA by the volume over a user-defined period, which indicates whether the price movement is being driven by strong or weak volume. The script monitors the EFI values and volume data to generate trend signals. If the EFI is positive and volume increases, this indicates bullish pressure, while a negative EFI with decreasing volume suggests bearish conditions. The combination of these signals helps traders determine whether a price move is backed by sufficient volume, making it easier to identify trend continuations or potential reversals.
Features and User Inputs
The "Dema EFI Volume" script offers several customizable inputs, allowing traders to adapt the indicator to their specific strategies. The DEMA Length controls the smoothing applied to the price data, while the EFI Length defines the period over which the force index is calculated. Additionally, traders can set alert conditions for when a bullish or bearish EFI signal occurs, enabling them to react quickly to changing market conditions.
Practical Applications
The "Dema EFI Volume" indicator is designed for traders who want to combine price trend analysis with volume dynamics in a single tool. This makes it particularly effective for identifying trend continuations, as rising volume alongside a positive EFI suggests that the market move is supported by strong momentum. Conversely, decreasing volume and a negative EFI may indicate a weakening trend, giving traders early warning of potential reversals. The combination of DEMA and EFI also makes this indicator valuable for detecting trend strength by measuring whether price movements are backed by strong volume, confirming trend reversals by comparing price changes with volume activity, and improving trade entries and exits by analyzing both price and volume for more robust signals.
Advantages and Strategic Value
The "Dema EFI Volume" script offers significant advantages by combining the DEMA’s smoothing power with the EFI’s volume analysis. This integration allows traders to filter out noise in price data while ensuring that trend signals are backed by meaningful volume. The result is a more reliable tool for trend-following and reversal detection, making it easier for traders to stay aligned with strong market moves while avoiding false signals caused by low-volume fluctuations. The dual focus on price and volume makes the "Dema EFI Volume" an ideal tool for traders who value a comprehensive approach to market analysis.
Alerts and Visual Cues
The script includes alert conditions that notify traders when a significant EFI signal occurs. The "EFI Volume Long" alert is triggered when the EFI is positive and volume increases, indicating a potential upward trend. The "EFI Volume Short" alert signals a possible downward trend when the EFI turns negative and volume decreases. Visual cues, such as the color and direction of the plotted EFI line, help traders quickly identify trend shifts and make timely decisions.
Summary and Usage Tips
The "Dema EFI Volume | viResearch" indicator provides traders with a powerful tool for analyzing both price trends and volume strength. By incorporating this script into your trading strategy, you can improve your ability to detect trend continuations and reversals, making more informed decisions based on a combination of price movement and volume dynamics. Whether you are focused on identifying trend strength or looking for early reversal signals, the "Dema EFI Volume" offers a reliable and customizable solution for traders of all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Sinc Bollinger BandsKaiser Windowed Sinc Bollinger Bands Indicator
The Kaiser Windowed Sinc Bollinger Bands indicator combines the advanced filtering capabilities of the Kaiser Windowed Sinc Moving Average with the volatility measurement of Bollinger Bands. This indicator represents a sophisticated approach to trend identification and volatility analysis in financial markets.
Core Components
At the heart of this indicator is the Kaiser Windowed Sinc Moving Average, which utilizes the sinc function as an ideal low-pass filter, windowed by the Kaiser function. This combination allows for precise control over the frequency response of the moving average, effectively separating trend from noise in price data.
The sinc function, representing an ideal low-pass filter, provides the foundation for the moving average calculation. By using the sinc function, analysts can independently control two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). The number of samples influences the filter's accuracy and steepness, allowing for a more precise approximation of the ideal low-pass filter without altering its fundamental frequency response characteristics.
The Kaiser window is applied to the sinc function to create a practical, finite-length filter while minimizing unwanted oscillations in the frequency domain. The alpha parameter of the Kaiser window allows users to fine-tune the trade-off between the main-lobe width and side-lobe levels in the frequency response.
Bollinger Bands Implementation
Building upon the Kaiser Windowed Sinc Moving Average, this indicator adds Bollinger Bands to provide a measure of price volatility. The bands are calculated by adding and subtracting a multiple of the standard deviation from the moving average.
Advanced Centered Standard Deviation Calculation
A unique feature of this indicator is its specialized standard deviation calculation for the centered mode. This method employs the Kaiser window to create a smooth deviation that serves as an highly effective envelope, even though it's always based on past data.
The centered standard deviation calculation works as follows:
It determines the effective sample size of the Kaiser window.
The window size is then adjusted to reflect the target sample size.
The source data is offset in the calculation to allow for proper centering.
This approach results in a highly accurate and smooth volatility estimation. The centered standard deviation provides a more refined and responsive measure of price volatility compared to traditional methods, particularly useful for historical analysis and backtesting.
Operational Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function and a traditional standard deviation calculation. This mode is suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function and the specialized Kaiser window-based standard deviation calculation. While this mode introduces a delay, it offers the most accurate trend and volatility identification for historical analysis.
Customizable Parameters
The Kaiser Windowed Sinc Bollinger Bands indicator provides several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Number of Samples: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Standard Deviation Length: Determines the period over which volatility is calculated.
Multiplier: Sets the number of standard deviations used for the Bollinger Bands.
Centered Alpha: Specific to the centered mode, this parameter affects the Kaiser window used in the specialized standard deviation calculation.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength for the moving average line.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the Bollinger Bands, aiding in volatility visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Bollinger Bands indicator is particularly useful for:
Precise trend identification with reduced noise influence
Advanced volatility analysis, especially in the centered mode
Identifying potential overbought and oversold conditions
Recognizing periods of price consolidation and potential breakouts
Compared to traditional Bollinger Bands, this indicator offers superior frequency response characteristics in its moving average and a more refined volatility measurement, especially in centered mode. These features allow for a more nuanced analysis of price trends and volatility patterns across various market conditions and timeframes.
Conclusion
The Kaiser Windowed Sinc Bollinger Bands indicator represents a significant advancement in technical analysis tools. By combining the ideal low-pass filter characteristics of the sinc function, the practical benefits of Kaiser windowing, and an innovative approach to volatility measurement, this indicator provides traders and analysts with a sophisticated instrument for examining price trends and market volatility.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing and statistical techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing, statistics, and financial markets.
Related:
Sinc MAKaiser Windowed Sinc Moving Average Indicator
The Kaiser Windowed Sinc Moving Average is an advanced technical indicator that combines the sinc function with the Kaiser window to create a highly customizable finite impulse response (FIR) filter for financial time series analysis.
Sinc Function: The Ideal Low-Pass Filter
At the core of this indicator is the sinc function, which represents the impulse response of an ideal low-pass filter. In signal processing and technical analysis, the sinc function is crucial because it allows for the creation of filters with precise frequency cutoff characteristics. When applied to financial data, this means the ability to separate long-term trends from short-term fluctuations with remarkable accuracy.
The primary advantage of using a sinc-based filter is the independent control over two critical parameters: the cutoff frequency and the number of samples used. The cutoff frequency, analogous to the "length" in traditional moving averages, determines which price movements are considered significant (low frequency) and which are treated as noise (high frequency). By adjusting the cutoff, analysts can fine-tune the filter to respond to specific market cycles or timeframes of interest.
The number of samples used in the filter doesn't affect the cutoff frequency but instead influences the filter's accuracy and steepness. Increasing the sample size results in a better approximation of the ideal low-pass filter, leading to sharper transitions between passed and attenuated frequencies. This allows for more precise trend identification and noise reduction without changing the fundamental frequency response characteristics.
Kaiser Window: Optimizing the Sinc Filter
While the sinc function provides excellent frequency domain characteristics, it has infinite length in the time domain, which is impractical for real-world applications. This is where the Kaiser window comes into play. By applying the Kaiser window to the sinc function, we create a finite-length filter that approximates the ideal response while minimizing unwanted oscillations (known as the Gibbs phenomenon) in the frequency domain.
The Kaiser window introduces an additional parameter, alpha, which controls the trade-off between the main-lobe width and side-lobe levels in the frequency response. This parameter allows users to fine-tune the filter's behavior, balancing between sharp cutoffs and minimal ripple effects.
Customizable Parameters
The Kaiser Windowed Sinc Moving Average offers several key parameters for customization:
Cutoff: Controls the filter's cutoff frequency, determining the divide between trends and noise.
Length: Sets the number of samples used in the FIR filter calculation, affecting the filter's accuracy and computational complexity.
Alpha: Influences the shape of the Kaiser window, allowing for fine-tuning of the filter's frequency response characteristics.
Centered and Non-Centered Modes
The indicator provides two operational modes:
Non-Centered (Real-time) Mode: Uses half of the windowed sinc function, suitable for real-time analysis and current market conditions.
Centered Mode: Utilizes the full windowed sinc function, resulting in a zero-phase filter. This mode introduces a delay but offers the most accurate trend identification for historical analysis.
Visualization Features
To enhance the analytical value of the indicator, several visualization options are included:
Gradient Coloring: Offers a range of color schemes to represent trend direction and strength.
Glow Effect: An optional visual enhancement for improved line visibility.
Background Fill: Highlights the area between the moving average and price, aiding in trend visualization.
Applications in Technical Analysis
The Kaiser Windowed Sinc Moving Average is particularly useful for precise trend identification, cycle analysis, and noise reduction in financial time series. Its ability to create custom low-pass filters with independent control over cutoff and filter accuracy makes it a powerful tool for analyzing various market conditions and timeframes.
Compared to traditional moving averages, this indicator offers superior frequency response characteristics and reduced lag in trend identification when properly tuned. It provides greater flexibility in filter design, allowing analysts to create moving averages tailored to specific trading strategies or market behaviors.
Conclusion
The Kaiser Windowed Sinc Moving Average represents an advanced approach to price smoothing and trend identification in technical analysis. By making the ideal low-pass filter characteristics of the sinc function practically applicable through Kaiser windowing, this indicator provides traders and analysts with a sophisticated tool for examining price trends and cycles.
Its implementation in Pine Script contributes to the TradingView community by making advanced signal processing techniques accessible for experimentation and further development in technical analysis. This indicator serves not only as a practical tool for market analysis but also as an educational resource for those interested in the intersection of signal processing and financial markets.
Related script:
Sma Standard Deviation | viResearchSma Standard Deviation | viResearch
Conceptual Foundation and Innovation
The "Sma Standard Deviation" indicator from viResearch combines the benefits of Simple Moving Average (SMA) smoothing with Standard Deviation (SD) analysis, offering traders a powerful tool for understanding price trends and volatility. The SMA provides a straightforward approach to trend detection by calculating the average price over a defined period, while the SD component adds insight into the market's volatility by measuring the variation of prices around the SMA. This combination helps traders identify whether the price is moving within a typical range or deviating significantly, which can signal potential trend shifts or periods of increased volatility. By using both SMA and SD together, this indicator enhances the trader's ability to detect not only the trend direction but also how strongly the market is deviating from that trend, offering more informed decision-making.
Technical Composition and Calculation
The "Sma Standard Deviation" script uses two key elements: the Simple Moving Average (SMA) and Standard Deviation (SD). The SMA is calculated over a user-defined length and represents the smoothed average price over this period. The script also incorporates DEMA smoothing applied to different price sources, providing further refinement to the trend analysis. The SD is calculated by measuring the deviation of the price from the SMA over a separate user-defined length, showing how volatile the price is relative to its average. The script generates upper and lower SD boundaries by adding and subtracting the SD from the SMA, creating a volatility-adjusted range for the price. This allows traders to visualize whether the price is moving within expected bounds or breaking out of its typical range. The script monitors crossovers between the DEMA, SMA, and SD boundaries, generating trend signals based on these interactions.
Features and User Inputs
The "Sma Standard Deviation" script offers several customizable inputs, allowing traders to adjust the indicator to their specific strategies. The SMA Length controls the period for which the moving average is calculated, while the SD Length defines how long the period is for measuring price deviation. Additionally, the DEMA smoothing length can be adjusted for both the trend and standard deviation calculations, giving traders control over how responsive or smooth they want the indicator to be. The script also includes alert conditions that notify traders when trend shifts occur, either to the upside or downside.
Practical Applications
The "Sma Standard Deviation" indicator is designed for traders who want to analyze both market trends and volatility in a unified tool. The combination of the SMA and SD helps traders identify potential trend reversals, as large deviations from the SMA can indicate periods of increased volatility that precede significant price moves. This makes the indicator particularly effective for identifying trend reversals, managing volatility, and improving trend-following strategies. By analyzing when the price moves outside the volatility-adjusted range defined by the SD, traders can detect early signals of potential trend reversals. The SD component helps traders understand how volatile the market is relative to its average price, allowing for more informed decisions in both trending and volatile market conditions. The dual use of DEMA and SMA smoothing allows for a clearer trend signal, helping traders stay aligned with the prevailing market direction while managing the noise caused by short-term volatility.
Advantages and Strategic Value
The "Sma Standard Deviation" script offers significant value by integrating both trend detection and volatility analysis into a single tool. The use of SMA for smoothing price trends, combined with the SD for assessing price volatility, provides a more comprehensive view of the market. This dual approach helps traders filter out false signals caused by short-term fluctuations while identifying potential trend changes driven by increased volatility. This makes the "Sma Standard Deviation" indicator ideal for traders seeking a balance between trend-following and volatility management.
Alerts and Visual Cues
The script includes alert conditions that notify traders when significant trend shifts occur based on price crossovers with the SMA and SD boundaries. The "Sma Standard Deviation Long" alert is triggered when the price crosses above the upper volatility boundary, indicating a potential upward trend. Conversely, the "Sma Standard Deviation Short" alert signals a possible downward trend when the price crosses below the lower boundary. Visual cues, such as changes in the color of the SMA line, help traders quickly identify trend shifts and act accordingly.
Summary and Usage Tips
The "Sma Standard Deviation | viResearch" indicator provides traders with a robust tool for analyzing market trends and volatility. By combining the benefits of SMA smoothing with SD analysis, this script offers a comprehensive approach to detecting trend changes and managing risk. Incorporating this indicator into your trading strategy can help improve your ability to spot trend reversals, understand market volatility, and stay aligned with the broader market direction. The "Sma Standard Deviation" is a reliable and customizable solution for traders looking to enhance their technical analysis in both trending and volatile markets.
Note: Backtests are based on past results and are not indicative of future performance.
