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.
Moving Averages
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.
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.
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.
Lsma ATR | viResearchLsma ATR | viResearch
Conceptual Foundation and Innovation
The "Lsma ATR" indicator from viResearch combines the power of the Least Squares Moving Average (LSMA) with the Average True Range (ATR) to offer traders a dynamic approach to trend analysis and volatility management. The LSMA is highly regarded for its ability to fit a linear regression line to price data, providing a smooth and precise trend line with minimal lag. When paired with the ATR, which measures market volatility, this indicator not only tracks trend direction but also adapts to changes in volatility. The integration of both elements allows traders to identify potential trend reversals and assess the strength of trends in the context of market volatility. This combination makes the "Lsma ATR" a versatile tool for following trends while managing risk, as it responds quickly to changes in price direction while accounting for shifts in market volatility.
Technical Composition and Calculation
The "Lsma ATR" script consists of two primary components: the Least Squares Moving Average (LSMA) and the Average True Range (ATR). The LSMA is calculated over a user-defined length, providing a smoothed representation of the market trend based on linear regression. The ATR, also user-defined, is used to measure market volatility by calculating the average range between high and low prices over a specified period. By adding and subtracting the ATR from the LSMA, the indicator creates upper and lower boundaries that help define the market's current volatility-adjusted range. The script monitors for price crossovers with these boundaries to generate trend signals. When the price crosses above the upper boundary, it signals a potential upward trend. Conversely, when the price crosses below the lower boundary, it signals a possible downward trend. These boundaries dynamically adjust based on volatility, providing more accurate signals as market conditions change.
Features and User Inputs
The "Lsma ATR" script offers several customizable inputs, allowing traders to fine-tune the indicator to their trading preferences. The LSMA Length controls the lookback period for the LSMA, determining how smooth or responsive the trend line is. The ATR Length defines the period used for calculating the average volatility, affecting the width of the volatility-adjusted range. Additionally, the indicator includes alert conditions that notify traders when a trend shift occurs, either to the upside or downside.
Practical Applications
The "Lsma ATR" indicator is designed for traders who want to follow market trends while accounting for changes in volatility. The LSMA provides a clear, smoothed trend line that helps identify the direction of the market, while the ATR adjusts the boundaries based on the current volatility level. This combination makes the indicator particularly effective for detecting trend reversals, as the LSMA tracks the overall trend direction and price crossovers with the ATR boundaries provide early signals of potential trend changes. It also helps manage risk by understanding market volatility, allowing traders to adjust their strategies based on the strength of price movements. The indicator improves trend-following strategies by combining LSMA’s trend detection with ATR’s volatility adjustment, offering a nuanced approach in various market conditions.
Advantages and Strategic Value
The "Lsma ATR" script offers significant value by integrating the precision of the LSMA with the adaptability of the ATR. This dual approach allows traders to reduce noise in price data while responding to changes in volatility, leading to more accurate trend signals. The volatility-adjusted boundaries provide a dynamic range that helps traders avoid false signals and stay aligned with stronger trends. This makes the "Lsma ATR" an ideal tool for traders seeking to enhance their trend-following strategies while accounting for market volatility.
Alerts and Visual Cues
The script includes alert conditions that notify traders when the price crosses the ATR boundaries, signaling a potential trend change. The "Lsma ATR Long" alert is triggered when the price crosses above the upper boundary, indicating a potential upward trend, while the "Lsma ATR 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 LSMA line and shaded areas between the ATR boundaries, help traders quickly identify these trend shifts.
Summary and Usage Tips
The "Lsma ATR | viResearch" indicator combines the smoothing benefits of the LSMA with the volatility sensitivity of the ATR, providing traders with a robust tool for trend detection and volatility management. By incorporating this script into your trading strategy, you can improve your ability to detect trend reversals, confirm trend direction, and manage risk by adjusting to market volatility. The "Lsma ATR" offers a reliable and customizable solution for traders looking to enhance their technical analysis in both trending and volatile market environments.
Note: Backtests are based on past results and are not indicative of future performance.
Rational Qaudratic Kernel Elder Force Index Introduction:
The Rational Quadratic Kernel Elder Force Index is a versatile and mathematically sophisticated technical indicator that enhances the traditional Elder Force Index (EFI) by applying a rational quadratic kernel smoothing technique. This advanced regression method is designed to provide traders with a more adaptive and accurate tool for measuring the strength behind price movements, incorporating the influence of volume. This indicator does not predict future price movements, but it offers a clearer view of market dynamics through its advanced smoothing mechanism.
Key Features:
Elder Force Index Foundation:
The core of this indicator is built on the Elder Force Index, a popular tool developed by Dr. Alexander Elder. The EFI is a momentum indicator that calculates the strength of price movements by combining both price change and volume.
Rational Quadratic Kernel Smoothing: The indicator incorporates a rational quadratic kernel for smoothing, providing traders with a more refined view of price action trends. This kernel is highly adjustable based on user inputs, allowing for flexible tuning to suit individual strategies.
Adaptive Time Frame Weighting:
Through the adjustable parameter Relative Weighting (r), traders can modify the influence of different time frames. Lower values give more weight to longer time frames, while higher values make the behavior resemble that of a Gaussian kernel.
Dynamic Visualization:
The indicator visually displays the smoothed force index as a color-coded line. It dynamically changes color based on market conditions—green when the smoothed force index is positive and red when it is negative—providing a clear and easy-to-read signal for traders.
How It Works:
The Elder Force Index is calculated by multiplying the price change between two bars with the volume of the current bar.
A rational quadratic kernel regression is applied to this raw EFI data. The smoothing process provides a more stable and reliable signal by reducing noise, particularly in volatile markets.
The user-defined parameters, such as the length of the smoothing window and the relative weighting factor, allow traders to customize the indicator to suit their specific trading style or asset class.
User Inputs:
Length:
Sets the smoothing window for the kernel regression. A longer length results in more significant smoothing.
Relative Weighting (r):
Controls the influence of different time frames in the smoothing process. A smaller value emphasizes longer-term data, while a higher value makes it behave more like a traditional Gaussian kernel.
Source:
Select the price source (default is the closing price) for the calculations.
LRS-Strategy: 200-EMA Buffer & Long/Short Signals LRS-Strategy: 200-EMA Buffer & Long/Short Signals
This indicator is designed to help traders implement the Leveraged Return Strategy (LRS) using the 200-day Exponential Moving Average (EMA) as a key trend-following signal. The indicator offers clear long and short signals by analyzing the price movements relative to the 200-day EMA, enhanced by customizable buffer zones for increased precision.
Key Features:
200-Day EMA: The main trend indicator. When the price is above the 200-day EMA, the market is considered in an uptrend, and when it is below, it indicates a downtrend.
Customizable Buffer Zones: Users can define a percentage buffer around the 200-day EMA (default is 3%). The upper and lower buffer zones help filter out noise and prevent premature signals.
Precise Long/Short Signals:
Long Signal: Triggered when the price moves from below the lower buffer zone, crosses the 200-day EMA, and then breaks above the upper buffer zone.
Short Signal: Triggered when the price moves from above the upper buffer zone, crosses the 200-day EMA, and then breaks below the lower buffer zone.
Alternating Signals: Ensures that a new signal (long or short) is only generated after the opposite signal has been triggered, preventing multiple signals of the same type without a reversal.
Clear Visual Aids: The indicator displays the 200-day EMA and buffer zones on the chart, along with buy (long) and sell (short) signals. This makes it easy to track trends and time entries/exits.
How to Use:
Long Entry: Look for the price to move below the lower buffer, cross the 200-day EMA from below, and then break out of the upper buffer to confirm a long signal.
Short Entry: Look for the price to move above the upper buffer, cross below the 200-day EMA, and then break below the lower buffer to confirm a short signal.
This indicator is perfect for traders who prefer a structured, trend-following approach, using clear rules to minimize noise and identify meaningful long or short opportunities.
200 MAPD - Relative Price with candlesticks and divergenceThis is a MAPD (moving average percent difference) indicator that plots the results in candlestick format and with an option to show divergencies of a specific look back period. It's built with 200 moving average, which cannot be adjusted. A divergence is when the actual asset price moves in the opposite direction than the MAPD.
MAPD measures the percent difference of the asset price from the moving average, in this case, 200 moving average.
MAPD is my favorite indicator because it's an leading indicator, capable of predicting upcoming directions pretty accurately if you learn how to use it and how it works on your specific asset. With candlesticks instead of line you can also apply your own price action techniques.
I created this to be somewhat of a substitute for the actual price of the asset, meaning that price action analysis should be applied on this indicator and asset price is used as a secondary to spot divergencies.
The chart showing on this description is my own discretionary plotting of technical aspects. Divergencies will be enabled per default, but my preference is to have them off and plot my own analysis. And turn them on to get an overview from time to time. You can also change the look back period for the divergencies as you like.
I would say it works best from 1 hour to 1 day, maybe 1 week if you're bottom fishing in a big bear trend.
If you try it out and like it i would love to hear how you find it useful in the comments, will be helpful for me and others :)
Deviation Adjusted MA Overview
The Deviation Adjusted MA is a custom indicator that enhances traditional moving average techniques by introducing a volatility-based adjustment. This adjustment is implemented by incorporating the standard deviation of price data, making the moving average more adaptive to market conditions. The key feature is the combination of a customizable moving average (MA) type and the application of deviation percentage to modify its responsiveness. Additionally, a smoothing layer is applied to reduce noise, improving signal clarity.
Key Components
Customizable Moving Averages
The script allows the user to select from four different types of moving averages:
Simple Moving Average (SMA): A basic average of the closing prices over a specified period.
Exponential Moving Average (EMA): Gives more weight to recent prices, making it more responsive to recent price changes.
Weighted Moving Average (WMA): Weights prices differently, favoring more recent ones but in a linear progression.
Volume-Weighted Moving Average (VWMA): Adjusts the average by trading volume, placing more weight on high-volume periods.
Standard Deviation Calculation
The script calculates the standard deviation of the closing prices over the selected maLength period.
Standard deviation measures the dispersion or volatility of price movements, giving a sense of market volatility.
Deviation Percentage and Adjustment
Deviation Percentage is calculated by dividing the standard deviation by the base moving average and multiplying by 100 to express it as a percentage.
The base moving average is adjusted by this deviation percentage, making the indicator responsive to changes in volatility. The result is a more dynamic moving average that adapts to market conditions.
The parameter devMultiplier is available to scale this adjustment, allowing further fine-tuning of sensitivity.
Smoothing the Adjusted Moving Average
After adjusting the moving average based on deviation, the script applies an additional Exponential Moving Average (EMA) with a length defined by the smoothingLength input.
This EMA serves as a smoothing filter to reduce the noise that could arise from the raw adjustments of the moving average. The smoothing makes trend recognition more consistent and removes short-term fluctuations that could otherwise distort the signal.
Use cases
The Deviation Adjusted MA indicator serves as a dynamic alternative to traditional moving averages by adjusting its sensitivity based on volatility. The script offers extensive customization options through the selection of moving average type and the parameters controlling smoothing and deviation adjustments.
By applying these adjustments and smoothing, the script enables users to better track trends and price movements, while providing a visual cue for changes in market sentiment.
Ewma | viResearchEwma | viResearch
Conceptual Foundation and Innovation
The "Ewma" indicator from viResearch combines the benefits of the Exponentially Weighted Moving Average (EWMA) with the Weighted Moving Average (WMA) to offer traders a more responsive and precise method for trend-following. The EWMA applies greater weight to recent price data, allowing the indicator to adapt quickly to market changes while filtering out short-term fluctuations. By incorporating both EWMA and WMA, this script provides a smoother and more accurate representation of market trends, making it ideal for identifying potential trend shifts and improving trade timing.
This dual-layer smoothing process enables traders to follow market trends with greater accuracy and sensitivity, allowing them to respond quickly to price movements while minimizing the impact of market noise.
Technical Composition and Calculation
The "Ewma" script uses a combination of WMA and EWMA to smooth out price data. First, a WMA is applied to the selected source price over a user-defined length. This WMA is then used as the input for calculating the EWMA, further smoothing the trend and reducing lag. The EWMA is calculated over the same user-defined length, ensuring consistency between the two smoothing processes. This layered approach helps generate more reliable signals for trend changes, as it reduces the influence of short-term price volatility while maintaining responsiveness to significant price movements.
The script monitors whether the current EWMA value is higher or lower than the previous value, generating a trend signal based on this comparison. If the EWMA is higher than the previous bar, it signals a potential upward trend, while a lower EWMA indicates a possible downward trend.
Features and User Inputs
The "Ewma" script offers several customizable inputs, allowing traders to fine-tune the indicator to suit their trading strategies. The Length input controls the period over which both the WMA and EWMA are calculated, affecting how responsive or smooth the indicator is. Additionally, the script includes built-in alert conditions, notifying traders when a trend shift occurs, either to the upside or downside.
Practical Applications
The "Ewma" indicator is designed for traders who want to capture market trends more accurately while reducing the noise from short-term price fluctuations. The dual smoothing of the EWMA helps traders identify potential trend reversals with greater clarity, allowing for earlier and more informed trade entries and exits. By smoothing price data while maintaining responsiveness, the "Ewma" indicator enhances traditional trend-following methods, making it easier to stay aligned with longer-term market trends. The adjustable length setting allows traders to adapt the indicator to various market conditions, whether they prefer faster signals for short-term trading or slower, smoother signals for long-term trend analysis.
Advantages and Strategic Value
The "Ewma" script offers a significant advantage by combining the WMA with the EWMA, delivering a smoother and more responsive trend indicator. This combination helps traders reduce the impact of short-term volatility while maintaining the ability to react quickly to significant price changes. By offering an adaptable and reliable method for trend-following, the "Ewma" indicator helps traders optimize their market positioning and improve the accuracy of their trading strategies.
Alerts and Visual Cues
The script includes alert conditions that notify traders when a significant trend change occurs. The "Ewma Long" alert is triggered when the EWMA crosses above its previous value, indicating a potential upward trend. The "Ewma Short" alert signals a possible downward trend when the EWMA crosses below its previous value. Visual cues, such as changes in the EWMA line color, provide traders with clear and actionable information in real time.
Summary and Usage Tips
The "Ewma | viResearch" indicator provides traders with a powerful tool for trend analysis by combining the benefits of WMA and EWMA smoothing. By incorporating this script into your trading strategy, you can improve your ability to detect trend shifts, confirm trend direction, and reduce noise from short-term price fluctuations. Whether you’re focused on short-term market moves or long-term trends, the "Ewma" indicator offers a reliable and customizable solution for traders at all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Dema DMI | viResearchDema DMI | viResearch
Conceptual Foundation and Innovation
The "Dema DMI" indicator integrates the Double Exponential Moving Average (DEMA) with the Directional Movement Index (DMI), creating a more responsive and precise trend-following system. The DEMA is used to smooth price data while minimizing lag, making it highly effective for trend detection. The DMI, on the other hand, measures the strength and direction of a trend by analyzing positive and negative directional movements. By combining these two elements, the "Dema DMI" offers traders a powerful tool for identifying trend changes and evaluating the strength of ongoing trends. This combination helps filter out noise in price data while maintaining sensitivity to market movements, providing better trend signals and decision-making opportunities.
Technical Composition and Calculation
The "Dema DMI" script uses two main components: the Double Exponential Moving Average (DEMA) and the Directional Movement Index (DMI). The DEMA is applied to both the high and low prices, creating smoothed versions of these prices based on a user-defined length. The DMI is then calculated by comparing changes in the smoothed high and low prices to measure directional movement. Positive directional movement (DM+) and negative directional movement (DM−) are calculated by evaluating whether the price is trending upward or downward, and the Average Directional Index (ADX) is computed to measure the strength of the trend. The ADX is smoothed to provide a more stable signal of trend strength.
Features and User Inputs
The "Dema DMI" script provides several customizable inputs, enabling traders to tailor the indicator to their strategies. The DEMA Length controls the period over which the DEMA is calculated for both high and low prices. The DMI Length sets the window for calculating directional movement, while the ADX Smoothing Length determines how smooth the ADX line appears, making it easier to assess whether a trend is strengthening or weakening. The script also includes customizable bar colors and alert conditions, providing traders with clear visual cues and notifications when a trend change occurs.
Practical Applications
The "Dema DMI" indicator is designed for traders looking to assess trend strength and direction more effectively. The DEMA smooths price movements, while the DMI highlights shifts in directional movement, providing early signals of potential trend reversals. The ADX helps gauge whether a trend is gaining momentum, allowing traders to improve the timing of trade entries and exits. Additionally, the customizable inputs make the indicator adaptable to different market conditions, ensuring its usefulness in both trending and ranging environments.
Advantages and Strategic Value
The "Dema DMI" script offers significant value by merging the smoothing effects of DEMA with the directional analysis of the DMI. This combination reduces the lag commonly associated with trend-following indicators, providing more timely and accurate trend signals. The ADX further enhances the indicator’s utility by measuring the strength of the trend, helping traders filter out weak signals and stay aligned with stronger trends. This makes the "Dema DMI" an ideal tool for traders seeking to improve their trend-following strategies and optimize their market positioning.
Alerts and Visual Cues
The script includes alert conditions that notify traders when a significant trend change occurs. The "Dema DMI Long" alert is triggered when the indicator detects an upward trend, while the "Dema DMI Short" alert signals a potential downward trend. Visual cues, such as changes in the bar color and the difference between positive and negative directional movement, help traders quickly identify trend shifts and act accordingly.
Summary and Usage Tips
The "Dema DMI | viResearch" indicator combines the smoothing benefits of the DEMA with the directional analysis of the DMI, providing traders with a reliable tool for detecting trend changes and confirming trend strength. By incorporating this script into your trading strategy, you can improve your ability to detect early trend reversals, confirm trend direction, and reduce noise in price data. The "Dema DMI" is a flexible and adaptable solution for traders looking to enhance their technical analysis in various market conditions.
Note: Backtests are based on past results and are not indicative of future performance.
Dema AFR | viResearchDema AFR | viResearch
Conceptual Foundation and Innovation
The "Dema AFR" indicator combines the Double Exponential Moving Average (DEMA) with an Average True Range (ATR)-based adaptive factor to create a responsive and adaptable trend-following system. The DEMA is known for its ability to smooth price data while reducing lag, making it highly effective for trend detection. By incorporating the ATR as a volatility factor, this indicator adapts dynamically to market conditions, allowing traders to capture trends while accounting for changes in volatility. The result is the Adaptive Factor Range (AFR), which provides clear signals for potential trend shifts and helps manage risk through its adaptive nature. This combination of DEMA smoothing and an ATR-based factor enables traders to follow trends more effectively while maintaining sensitivity to changing market conditions.
Technical Composition and Calculation
The "Dema AFR" script consists of two main components: the Double Exponential Moving Average (DEMA) and the Adaptive Factor Range (AFR). The DEMA is calculated over a user-defined length, smoothing out price fluctuations while reducing lag compared to traditional moving averages. The ATR is used to create a dynamic factor that adjusts the AFR based on market volatility. The factor is calculated by multiplying the ATR by a user-defined factor value, which scales the ATR to define upper and lower bounds for the AFR. The Adaptive Factor Range is derived from the DEMA, with upper and lower bounds set by adding or subtracting the ATR-based factor from the DEMA. When the price moves outside these bounds, the AFR is adjusted, and signals are generated. If the lower bound is exceeded, the AFR adjusts upward, while exceeding the upper bound causes the AFR to adjust downward. This dynamic adjustment helps the indicator stay responsive to market movements.
Features and User Inputs
The "Dema AFR" script provides several customizable inputs, allowing traders to tailor the indicator to their strategies. The DEMA Length controls the smoothing period for the DEMA, while the ATR Period defines the window for calculating the Average True Range. The ATR Factor determines the scale of the adaptive factor, controlling how much the AFR adjusts to volatility. Additionally, customizable bar colors and alert conditions allow traders to visualize the trend direction and receive notifications when key trend shifts occur.
Practical Applications
The "Dema AFR" indicator is designed for traders who want to capture trends while adapting to market volatility. The adaptive nature of the AFR makes it responsive to trend changes, providing early signals of potential trend reversals as the AFR adjusts to market movements. By incorporating ATR into the AFR calculation, the indicator adjusts to changing volatility, helping traders manage risk by staying aligned with market conditions. The AFR also helps confirm whether a price move is supported by momentum, improving the accuracy of trade entries and exits.
Advantages and Strategic Value
The "Dema AFR" script offers a significant advantage by combining the smoothness of the DEMA with the adaptability of the ATR-based factor. This dynamic combination allows the indicator to adjust to market conditions, providing more reliable trend signals in both trending and volatile markets. The adaptive nature of the AFR reduces the risk of false signals and helps traders stay on the right side of the trend while managing risk through volatility-adjusted ranges.
Alerts and Visual Cues
The script includes alert conditions that notify traders of key trend changes. The "Dema AFR Long" alert is triggered when the AFR indicates a potential upward trend, while the "Dema AFR Short" alert signals a potential downward trend. Visual cues such as color changes in the bar chart help traders quickly identify shifts in trend direction, allowing them to make informed decisions in real time.
Summary and Usage Tips
The "Dema AFR | viResearch" indicator provides traders with a powerful tool for trend analysis by combining DEMA smoothing with an ATR-based adaptive factor. This script helps traders stay aligned with trends while accounting for market volatility, improving their ability to detect trend reversals and manage risk. By incorporating this indicator into your trading strategy, you can make more informed decisions, whether in trending or volatile market environments. The "Dema AFR" offers a reliable and flexible solution for traders at all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Dema Ema Crossover | viResearchDema Ema Crossover | viResearch
Conceptual Foundation and Innovation
The "Dema Ema Crossover" indicator combines the strengths of the Double Exponential Moving Average (DEMA) with an Exponential Moving Average (EMA) crossover strategy. The DEMA is well-known for its ability to reduce lag compared to standard moving averages, offering smoother trend-following signals. In this script, the DEMA is used as the foundation, with two EMAs applied on top of it to further refine the trend detection and crossover points. This combination provides traders with a robust tool for identifying trend shifts and potential entry or exit points.
By leveraging the faster responsiveness of the DEMA and using EMA crossovers, the "Dema Ema Crossover" indicator helps traders detect and act on trend reversals more efficiently, making it a powerful solution for capturing both short- and long-term market movements.
Technical Composition and Calculation
The "Dema Ema Crossover" script consists of three main components: the Double Exponential Moving Average (DEMA), the fast EMA, and the slow EMA. The DEMA is calculated based on the selected length and source price, providing a smooth representation of market trends. Two EMAs are then applied to the DEMA, with one being faster (shorter period) and the other slower (longer period). The crossover between these two EMAs generates the signals for trend changes.
For the DEMA, the calculation uses the ta.dema function, which reduces lag while maintaining smoothness in the moving average. The fast and slow EMAs are calculated using the ta.ema function, with the fast EMA responding more quickly to price changes, while the slow EMA captures broader trends. The crossover between these two EMAs is used to generate buy and sell signals based on the direction of the crossover.
Features and User Inputs
The "Dema Ema Crossover" script offers several customizable inputs that allow traders to tailor the indicator to their trading strategies. The DEMA Length controls how smooth the DEMA is, with a longer length creating a slower-moving average and a shorter length providing a more responsive one. The Fast EMA Length and Slow EMA Length are also customizable, allowing traders to adjust the sensitivity of the crossover signals based on their market outlook and preferred trading timeframe.
Practical Applications
The "Dema Ema Crossover" indicator is designed for traders looking for a reliable crossover strategy that combines the responsiveness of the DEMA with the precision of EMA crossovers. This tool is particularly effective for:
Identifying Trend Reversals: The crossover between the fast and slow EMAs applied to the DEMA provides early signals of potential trend reversals, allowing traders to position themselves in the market more effectively. Confirming Trend Direction: The combined effect of the DEMA and EMA crossovers helps confirm the strength of a trend, improving decision-making around trade entries and exits. Adapting to Different Market Conditions: The customizable parameters allow traders to adjust the sensitivity of the crossover signals, making the indicator suitable for both fast-moving markets and slower, trending environments.
Advantages and Strategic Value
The "Dema Ema Crossover" script offers a significant advantage by combining the smoothness of the DEMA with the accuracy of EMA crossovers. The DEMA’s ability to reduce lag while maintaining responsiveness makes it ideal for trend-following strategies, while the crossover between the fast and slow EMAs provides precise entry and exit points. This combination reduces false signals and helps traders adapt to changing market conditions, resulting in a more reliable and efficient trend-following system.
Alerts and Visual Cues
The script includes alert conditions to notify traders of key crossover events. The "Dema Ema Crossover Long" alert is triggered when the fast EMA crosses above the slow EMA, signaling a potential upward trend. Conversely, the "Dema Ema Crossover Short" alert signals a possible downward trend when the fast EMA crosses below the slow EMA. Visual cues such as colored fills between the two EMAs highlight these crossover points on the chart, helping traders quickly identify trend shifts.
Summary and Usage Tips
The "Dema Ema Crossover | viResearch" indicator provides traders with a powerful combination of the DEMA and EMA crossovers, offering a smooth yet responsive tool for detecting trend reversals and confirming trend direction. By incorporating this script into your trading strategy, you can improve your ability to capture trend changes with greater accuracy, reducing the impact of market noise. Whether you are focused on short-term market moves or long-term trends, the "Dema Ema Crossover" indicator offers a flexible and reliable solution for traders at all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Hull For Loop | viResearchHull For Loop | viResearch
Conceptual Foundation and Innovation
The "Hull For Loop" indicator brings together the smoothness and responsiveness of the Hull Moving Average (HMA) with a dynamic loop-based scoring system. The HMA is known for its ability to reduce lag while maintaining smooth trend representation, making it a popular choice for traders looking for a responsive and reliable moving average. By incorporating a for loop system that compares current and past HMA values over a user-defined range, the "Hull For Loop" script generates a score that allows traders to detect potential trend changes and assess the strength of ongoing trends. This combination of the HMA and a loop-based evaluation system provides traders with a powerful tool for understanding market momentum and making informed trading decisions.
Technical Composition and Calculation
The "Hull For Loop" script consists of two key elements: the Hull Moving Average (HMA) and the For Loop Scoring System. The HMA is calculated using a weighted moving average (WMA) of the price data, adjusted to reduce lag and provide a smoother trend line. The for loop compares the current HMA to past values over a customizable range, generating a score based on whether the current HMA is higher or lower than previous values.
For the Hull Moving Average, the calculation involves applying a WMA to the source price over the selected length. The result is then used in a secondary WMA calculation to further smooth the output and reduce lag. The For Loop Scoring System evaluates the HMA over a defined range (from and to) by adding or subtracting from the score depending on whether the current HMA is higher or lower than past values. This final score reflects the overall trend strength and direction.
Features and User Inputs
The "Hull For Loop" script offers several customizable inputs, allowing traders to tailor the indicator to their strategies. The Hull Length controls the period over which the HMA is calculated, affecting how quickly the indicator responds to price changes. The Loop Range (From and To) defines the range over which the for loop compares past HMA values, offering flexibility in assessing trend strength over different timeframes. Additionally, customizable thresholds allow traders to define when the score signals an uptrend or downtrend, providing control over the indicator's sensitivity to market conditions.
Practical Applications
The "Hull For Loop" indicator is designed for traders looking to capitalize on the smooth trend representation of the HMA while gaining insights into market momentum through a loop-based scoring system. This tool is particularly effective for identifying trend reversals, as the for loop scoring system provides early signals of potential trend reversals by comparing the current HMA to past values, giving traders an advantage in volatile markets. By analyzing the HMA across a range of past values, the indicator helps confirm whether trends are gaining or losing strength, improving trade entry and exit points. The customizable parameters allow traders to adjust the indicator to different market conditions, making it suitable for both short-term and long-term strategies.
Advantages and Strategic Value
The "Hull For Loop" script provides a significant advantage by combining the smoothness of the HMA with a dynamic scoring system. The HMA's ability to reduce lag while providing a clear trend signal makes it ideal for trend-following strategies, while the loop-based scoring system adds a layer of analysis that helps reduce false signals. This combination results in a reliable tool for identifying and confirming trends, allowing traders to adapt more effectively to changing market conditions.
Alerts and Visual Cues
The script includes alert conditions to notify traders of key trend changes. The "Hull For Loop Long" alert is triggered when the score crosses the upper threshold, signaling a potential upward trend. Conversely, the "Hull For Loop Short" alert signals a possible downward trend when the score crosses below the lower threshold. Visual cues, such as changes in the background color, highlight these trend shifts on the chart, helping traders quickly identify potential market reversals.
Summary and Usage Tips
The "Hull For Loop | viResearch" indicator offers traders a robust tool for trend analysis by combining the benefits of the Hull Moving Average with a dynamic loop-based scoring system. By incorporating this script into your trading strategy, you can improve your ability to detect and confirm trends with greater accuracy, reducing the impact of market noise. Whether you are focused on identifying early trend reversals or confirming ongoing trends, the "Hull For Loop" provides a reliable and customizable solution for traders of all levels.
Note: Backtests are based on past results and are not indicative of future performance.
Mode For Loop | viResearchMode For Loop | viResearch
Conceptual Foundation and Innovation
The "Mode For Loop" indicator introduces a novel approach to market analysis by incorporating the mode calculation into a dynamic scoring system. The mode, which represents the most frequent price over a specified period, provides a robust measure of price centrality that can filter out random fluctuations and offer a clear picture of market trends. Combined with a loop-based evaluation system, this indicator generates a score that helps traders identify potential trend reversals and the strength of ongoing trends. By comparing the current mode with past values over a defined range, the "Mode For Loop" script offers traders a comprehensive tool for understanding market momentum and trend dynamics.
Technical Composition and Calculation
The "Mode For Loop" script consists of two key elements: Mode Calculation and the For Loop Scoring System. The mode represents the most frequent price point within a user-defined length. This value is calculated from the selected source price (e.g., close) and provides a smoothed central price that reflects market consensus over the period. The for loop compares the current mode to historical mode values over a customizable range. The score is calculated by evaluating whether the current mode is higher or lower than past values. A positive score indicates upward momentum, while a negative score suggests downward momentum.
For the Mode Calculation, the mode is determined using the ta.mode function, which identifies the most common price over the selected length. The loop iterates over the defined range (from and to), comparing the current mode to historical values. The score is updated by adding or subtracting based on whether the current mode is greater than or less than the past values, resulting in a total score that reflects the trend direction.
Features and User Inputs
The "Mode For Loop" script offers multiple customizable inputs, allowing traders to fine-tune the indicator to suit their strategies. The Mode Length defines the period over which the mode is calculated, controlling how the indicator smooths out price fluctuations and identifies central price trends. The Loop Range (From and To) allows users to set the range over which the mode is compared to previous values, offering flexibility in assessing trend strength over different time horizons. Customizable thresholds determine when the score signals an uptrend or downtrend, allowing traders to adjust the indicator’s sensitivity to market conditions.
Practical Applications
The "Mode For Loop" indicator is designed for traders who want to leverage the mode’s ability to filter out noise and focus on the most frequent price points. This tool can be particularly effective for detecting trend reversals, as the loop-based scoring system provides early signals of potential reversals by comparing the current mode with past values. This helps traders act before significant market shifts occur. The indicator also excels at confirming trend strength. By analyzing the mode across a range of past values, it offers a clearer view of the strength and sustainability of trends, improving trade entry and exit points. The customizable parameters enable traders to adapt the indicator to various market conditions, making it suitable for both short-term and long-term trading strategies.
Advantages and Strategic Value
The key advantage of the "Mode For Loop" script is its ability to provide a more stable and central measure of price trends using the mode calculation, while also applying a dynamic scoring system for enhanced trend detection. This combination offers traders a more reliable tool for reducing false signals and improving the accuracy of trend-following strategies. The mode’s focus on the most frequent price makes it a robust choice for understanding true market behavior, while the loop-based evaluation ensures that trends are analyzed comprehensively.
Alerts and Visual Cues
The script includes alert conditions to notify traders of key trend signals. The "Mode For Loop Long" alert signals a potential upward trend when the score exceeds the upper threshold, while the "Mode For Loop Short" alert indicates a possible downward trend when the score falls below the lower threshold. The indicator also includes visual cues, with background colors changing when the score crosses key levels, helping traders quickly identify potential shifts in market direction.
Summary and Usage Tips
The "Mode For Loop | viResearch" indicator offers a powerful combination of mode-based price smoothing and dynamic trend scoring, giving traders a detailed and responsive tool for trend analysis. By incorporating this script into your trading system, you can improve your ability to detect and confirm trends while minimizing the impact of market noise. Whether you're focused on capturing early trend reversals or confirming ongoing trends, this indicator provides a reliable and flexible solution.
Note: Backtests are based on past results and are not indicative of future performance.
Kaiser Window MAKaiser Window Moving Average Indicator
The Kaiser Window Moving Average is a technical indicator that implements the Kaiser window function in the context of a moving average. This indicator serves as an example of applying the Kaiser window and the modified Bessel function of the first kind in technical analysis, providing an open-source implementation of these functions in the TradingView Pine Script ecosystem.
Key Components
Kaiser Window Implementation
This indicator incorporates the Kaiser window, a parameterized window function with certain frequency response characteristics. By making this implementation available in Pine Script, it allows for exploration and experimentation with the Kaiser window in the context of financial time series analysis.
Modified Bessel Function of the First Kind
The indicator includes an implementation of the modified Bessel function of the first kind, which is integral to the Kaiser window calculation. This mathematical function is now accessible within TradingView, potentially useful for other custom indicators or studies.
Customizable Alpha Parameter
The indicator features an adjustable alpha parameter, which directly influences the shape of the Kaiser window. This parameter allows for experimentation with the indicator's behavior:
Lower alpha values: The indicator's behavior approaches that of a Simple Moving Average (SMA)
Moderate alpha values: The behavior becomes more similar to a Weighted Moving Average (WMA)
Higher alpha values: Increases the weight of more recent data points
In signal processing terms, the alpha parameter affects the trade-off between main-lobe width and side lobe level in the frequency domain.
Centered and Non-Centered Modes
The indicator offers two operational modes:
Non-Centered (Real-time) Mode: Uses half of the Kaiser window, starting from the peak. This mode operates similarly to traditional moving averages, suitable for real-time analysis.
Centered Mode: Utilizes the full Kaiser window, resulting in a phase-correct filter. This mode introduces a delay equal to half the window size, with the plot automatically offset to align with the correct time points.
Visualization Options
The indicator includes several visualization features to aid in analysis:
Gradient Coloring: Offers three gradient options:
• Three-color gradient: Includes a neutral color
• Two-color gradient: Traditional up/down color scheme
• Solid color: For a uniform appearance
Glow Effect: An optional visual enhancement for the moving average line.
Background Fill: An option to fill the area between the moving average and the price.
Use Cases
The Kaiser Window Moving Average can be applied similarly to other moving averages. Its primary value lies in providing an example implementation of the Kaiser window and modified Bessel function in TradingView. It serves as a starting point for traders and analysts interested in exploring these mathematical concepts in the context of technical analysis.
Conclusion
The Kaiser Window Moving Average indicator demonstrates the application of the Kaiser window function in a moving average calculation. By providing open-source implementations of the Kaiser window and the modified Bessel function of the first kind, this indicator contributes to the expansion of available mathematical tools in the TradingView Pine Script environment, potentially facilitating further experimentation and development in technical analysis.
Harmonic Trend Pulse1. Overview
The Harmonic Trend Pulse Indicator is a technical analysis tool designed for use on price charts. It combines elements of trend detection and harmonic moving averages to provide users with visual insights into market dynamics. The indicator is adaptable to different market conditions and is structured to aid in understanding price movements without making predictions.
2. Key Parameters
The indicator's performance relies on three adjustable settings:
Length: Defines the lookback period used to calculate the midpoint of price movements based on the highest and lowest points within the selected range.
Center: A smoothing parameter that affects how sensitive the trendline is to changes in the market. Higher values lead to a smoother trendline, while lower values make it more reactive.
HMA Length: This is the length for calculating the Harmonic Moving Average (HMA), which is a weighted moving average that helps filter out noise from price data, offering a cleaner view of the underlying trend.
3. Indicator Calculation
The indicator works as follows:
Midpoint Calculation: It first calculates the midpoint of the price using the highest high and lowest low over the given Length. This midpoint is then smoothed using an Exponential Moving Average (EMA) based on the Center value.
Harmonic Moving Average (HMA):
The HMA is calculated by first applying a Weighted Moving Average (WMA) over half the HMA Length and the full HMA Length.
It then computes the final trendline using the HMA formula, which smooths out short-term price fluctuations to provide a more accurate representation of the trend.
4. Visual Interpretation
The indicator plots the HMA trendline on the chart, with its color changing based on the market's direction:
Green Line: Indicates an upward trend when the current HMA value is higher than the previous bar's HMA.
Red Line: Indicates a downward trend when the current HMA value is lower than the previous bar's HMA.
This color-coded visual allows traders to quickly identify the current market trend and assess its strength.
5. Key Benefits
Clear Trend Detection: The combination of trend logic and the harmonic moving average helps users spot market direction changes quickly.
Noise Reduction: The Harmonic Moving Average (HMA) filters out short-term price fluctuations, making it easier to observe the overall trend.
Customizable Parameters: Traders can adjust the Length, Center, and HMA Length settings to tailor the indicator's sensitivity to their preferred trading style.
6. Conclusion
The Harmonic Trend Pulse Indicator provides a flexible and effective tool for tracking market trends. By using a combination of advanced moving averages and trend detection techniques, it offers traders valuable insights into the price dynamics of various assets. Its simple yet powerful visualization helps traders make informed decisions based on current market conditions.
Lsma For Loop | viResearchLsma For Loop | viResearch
Conceptual Foundation and Innovation
The "Lsma For Loop" indicator offers a unique combination of the Least Squares Moving Average (LSMA) with a dynamic scoring system based on a loop function. By comparing the current LSMA value with historical values over a user-defined range, this indicator generates a detailed score that helps detect trend strength and potential reversals. This approach provides traders with a more nuanced analysis of price action, allowing them to identify trends earlier and with more accuracy.
The LSMA, which minimizes lag compared to traditional moving averages, is ideal for detecting trends as it provides a smooth and quick-to-respond line. When combined with the loop-based scoring system, traders can benefit from a powerful tool for analyzing market momentum and capturing profitable trends.
Technical Composition and Calculation
The "Lsma For Loop" script features two essential components:
Least Squares Moving Average (LSMA): The LSMA is calculated over a user-defined length using a linear regression model. It provides a smooth line that follows price trends more closely, reducing the noise that is often present in simple moving averages.
For Loop Scoring System: This system evaluates the LSMA over a range of previous values, generating a score based on whether the current LSMA is higher or lower than its previous values within the specified range. The resulting score reflects the strength of the trend, with higher scores indicating a stronger uptrend and lower scores signaling a downtrend.
Key Calculations:
LSMA Calculation: The LSMA is derived from the closing price over the selected period (len), providing a smooth moving average that fits the price data closely.
For Loop Scoring:
The loop iterates over a range of previous LSMA values, comparing the current LSMA to each past value.
If the current LSMA is higher than a previous value, a positive score is added; if it is lower, a negative score is added. The sum of these comparisons forms the overall score.
Features and User Inputs
The "Lsma For Loop" script offers a range of customization options, allowing traders to tailor the indicator to their specific trading strategies and market conditions:
LSMA Length: Adjust the length of the LSMA, controlling the smoothness of the indicator and how quickly it reacts to price changes.
Loop Range (From and To): Define the range over which the for loop evaluates LSMA values. This provides flexibility in assessing momentum over different timeframes.
Thresholds: Customizable threshold levels are used to define when the score indicates an uptrend or downtrend. This allows traders to fine-tune the sensitivity of the indicator to market movements.
Practical Applications
The "Lsma For Loop" is a versatile tool for traders who want to leverage the advantages of LSMA smoothing while gaining a more detailed view of trend strength. This indicator is particularly useful for:
Identifying Trend Reversals: The loop-based scoring system provides an early indication of potential trend reversals, allowing traders to react before major market movements.
Confirming Trend Strength: By evaluating the LSMA against a range of previous values, the script helps confirm whether a trend is strengthening or weakening.
Enhanced Market Positioning: The customizable range and thresholds enable traders to adapt the script to different market conditions, whether they are day trading or swing trading.
Advantages and Strategic Value
The primary advantage of the "Lsma For Loop" script lies in its ability to provide a more granular analysis of LSMA behavior through the use of the for loop. This dynamic approach reduces the likelihood of false signals and offers greater accuracy in detecting trends. The indicator’s versatility makes it a valuable tool for both short-term and long-term trading strategies.
Alerts and Visual Cues
The script includes built-in alert conditions to notify traders of key trend changes:
Lsma For Loop Long: Indicates a potential upward trend when the score exceeds the upper threshold.
Lsma For Loop Short: Signals a potential downward trend when the score falls below the lower threshold.
Additionally, visual cues such as background color changes highlight when the score crosses certain key levels, providing an easy-to-read representation of market trends directly on the chart.
Summary and Usage Tips
The "Lsma For Loop | viResearch" indicator provides traders with a powerful tool that combines LSMA smoothing with a dynamic loop-based scoring system for trend detection. Incorporating this script into your trading strategy can help improve trend identification and enhance decision-making around entries and exits. Whether you are trading in trending markets or looking for early reversal signals, this script offers a reliable and flexible solution.
Note: Backtests are based on past results and are not indicative of future performance.
