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.
移動平均線
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.
Nifty scalping 3 minutesOverview:
The "Nifty Scalping 3 Minutes" strategy is a uniquely tailored trading system for Nifty Futures traders, with a clear focus on capital preservation, dynamic risk management, and high-probability trade entries. This strategy uses unique combination of standard technical indicators like Jurik Moving Average (JMA), Exponential Moving Average (EMA), and Bollinger Bands, but it truly stands out through its Price-Volume Spike Detection system—a unique mechanism designed to trigger trades only during periods of high momentum and market participation. The strategy also incorporates robust risk management, ensuring that traders minimize losses while maximizing profits. in complete back test range max drawdown is less than 1%
Scalping Approach and Requirements:
The strategy focuses on quick in and out trades, aiming to capture small, quick profits during periods of heightened market activity. For optimal performance, traders should have ₹2,00,000 or more in capital available per trade. The dynamic lot calculation and risk controls require this level of capital to function effectively.
Small, frequent trades are the focus, and the strategy is ideal for traders comfortable with high-frequency executions. Traders with insufficient capital or those not comfortable with frequent trades may find this strategy unsuitable.
Default Properties for Publication:
Initial Capital: ₹2,000,000
Lot Size: 25 contracts (adjusted dynamically based on available margin)
Stop-Loss: Risk per trade capped at 1% of equity.
Slippage and Commission: Realistic values are factored into the backtesting.
Key Feature: Price-Volume Spike Detection
1. Condition: Trades are executed only when there is a significant price spike confirmed by a volume spike. The candle width is calculated by multiplying the price change (difference between the candle's open and close) by the volume, and this result is compared to a 126-period average of both price and volume.
A trade is triggered when the current price-volume spike exceeds this average by a preset volume multiplier (default set at 3). This ensures that both the price change and volume are unusually strong compared to normal market behavior.
2. Reasoning: Many traders fail to incorporate the relationship between price movement and volume effectively. By using this Price-Volume Spike Detection mechanism, the strategy ensures that it only enters trades during periods of strong market momentum when both price and volume confirm a real market move, not just noise or small fluctuations.
The 126-period moving average of volume is chosen specifically because it represents a complete trading session on the 3-minute chart. This ensures that the volume spike is compared against a realistic baseline of daily activity, making the detection more robust and reliable.
The volume multiplier allows flexibility in determining the threshold for a significant spike, enabling users to fine-tune the strategy according to their risk tolerance and market conditions.
Trade Placement Logic:
1. Trend Confirmation with JMA and EMA:
Condition: The strategy will only consider entering a trade when JMA crosses above EMA for a long trade or JMA crosses below EMA for a short trade.
Reasoning: The JMA is used for its low lag and responsiveness, allowing it to capture early trends, while the EMA adds a level of confirmation by weighing recent price action more heavily. This dual confirmation ensures that trades are entered only when a solid trend is in place.
2. Bollinger Bands for Volatility Breakouts:
Condition: In addition to the JMA-EMA crossover, the price must break outside the Bollinger Bands—above the upper band for long trades, or below the lower band for short trades.
Reasoning: Bollinger Bands are a volatility indicator. By requiring a price breakout beyond the bands, the strategy ensures that trades are placed during periods of high volatility, avoiding low-momentum, sideways markets.
3. Volume and Price Confirmation (Price-Volume Spike Detection):
Condition: A trade is only triggered if the price-volume spike condition is met. This ensures that the market move is backed by strong volume and that the price change is significant relative to the recent average activity.
Reasoning: This condition filters out low-volume environments where price movements are more likely to reverse or stall. By waiting for a spike in both price and volume, the strategy ensures that it enters trades during high-momentum periods, where follow-through is more likely.
Exit Logic and Risk Management:
1. Stop-Loss (SL) Placement:
Condition: Upon entering a trade, an initial stop-loss is placed below the candle low for long trades or above the candle high for short trades. This is adjusted if the risk exceeds 1% of total capital.
Reasoning: The stop-loss is placed at a logical level that accounts for recent price action, ensuring that the trade is given room to develop while protecting capital from unexpected market reversals.
2. Profit Target and Partial Profit Booking:
Condition: The first profit target is set at 2.1x the initial risk for long trades, and 2.5x the initial risk for short trades.
Reasoning: The 2.1x risk-reward ratio for long trades provides a solid return while maintaining a conservative risk profile. For short trades, the strategy uses a higher 2.5x risk-reward ratio because market falls tend to be sharper and quicker than rises, allowing for larger profit targets to be reached more reliably.
Partial Profit Booking: Once the first target is hit, 60% of the position is closed to lock in profits. The remaining 40% is left to run with a trailing stop.
3. ATR-Based Trailing Stop:
Condition: Once the first target is hit, the ATR (Average True Range) trailing stop is applied to the remaining position. This dynamically adjusts the stop-loss as the trade moves in a favorable direction.
Reasoning: The trailing stop allows the trade to capture further gains if the trend continues, while protecting profits if the momentum weakens. The ATR ensures that the stop adjusts according to the market's current volatility, providing flexibility and protection.
4. Time-Based Exit:
Condition: If a trade is still open by 3:20 PM, it is automatically closed to avoid end-of-day volatility.
Reasoning: The time-based exit ensures that trades are not held into the often-volatile closing minutes of the market, reducing the risk of unexpected price swings.
Capital and Risk Management:
1. Lot Size Calculation:
Condition: The strategy calculates the number of lots dynamically based on the available margin. It uses only 10% of total equity for each trade, and ensures that the maximum risk per trade does not exceed 1% of total capital.
Reasoning: This ensures that traders are not over-leveraged and that the risk is controlled for each trade. Capital protection is at the core of the strategy, ensuring that even during adverse market conditions, the trader’s capital is preserved.
2. Stop-Loss Protection:
Condition: The stop-loss is designed to ensure that no more than 1% of capital is at risk in any trade.
Reasoning: By limiting risk exposure, the strategy focuses on long-term capital preservation while still allowing for profitable trades in favorable market conditions.
STBT/BTST Facilitation:
1. Feature: The strategy allows traders the option to hold positions overnight, facilitating STBT (Sell Today Buy Tomorrow) and BTST (Buy Today Sell Tomorrow) trades.
Reasoning: Backtests show that holding positions overnight when all trade conditions are still valid can lead to beneficial outcomes. This feature allows traders to take advantage of overnight market movements, providing flexibility beyond intraday trades.
Why This Strategy Stands Out:
Price-Volume Spike Detection: Unlike traditional strategies, this one uniquely focuses on Price-Volume Spike Detection to filter out low-probability trades. By ensuring that both price and volume spikes are present, the strategy guarantees that trades are placed only when there is significant market momentum.
Risk Management with Capital Protection: The strategy strictly limits the risk per trade to 1% of capital, ensuring long-term capital preservation. This is especially important for traders who wish to avoid large drawdowns and prefer a sustainable approach to trading.
2.5x Risk-Reward for Short Trades: Recognizing the sharpness of market declines, the strategy employs a 2.5x risk-reward ratio for short trades, maximizing profits during bearish trends.
Dynamic Exit Strategy: With partial profit booking and ATR-based trailing stops, the strategy is designed to capture gains efficiently while protecting capital through dynamic exit conditions.
Summary of Execution:
Entry: Triggered when JMA crosses EMA, combined with Bollinger Band breakouts and Price-Volume Spike Detection.
Capital Management: Trades are executed with 10% of available capital, and the risk per trade is capped at 1%.
Exit: Trades exit when stop-loss, ATR trailing stop, or time-based exit conditions are met.
Profit Booking: 60% of the position is closed at the first target, with the remainder trailed using an ATR-based stop.
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.
Dema Vstop | viResearchTitle: Dema Vstop | viResearch
Conceptual Foundation and Innovation
The "Dema Vstop" indicator combines the Double Exponential Moving Average (DEMA) with the Volatility Stop (Vstop) concept to improve trend-following and trend-reversal signals. This script provides a more responsive and dynamic approach to identifying trends and capturing market movements by integrating these two powerful tools. It is particularly effective for traders who seek a balance between smoothing out price action and quickly adapting to volatile changes in the market.
The DEMA smooths the price action more effectively than a traditional moving average, while the Vstop introduces a volatility-adjusted stop-loss mechanism, allowing traders to adapt to the market's changing conditions. The result is a robust system that captures both trend direction and potential reversal points with improved precision.
Technical Composition and Calculation
At the core of the "Dema Vstop" script are two primary components:
Double Exponential Moving Average (DEMA): This is used to smooth the source price over a user-defined period (dema_len), making it ideal for trend identification.
Volatility Stop (Vstop): The Vstop mechanism uses the Average True Range (ATR) to adjust stop-loss levels based on market volatility, allowing the indicator to account for changes in market conditions.
Key Calculations:
DEMA Calculation: Based on the selected length and source, the DEMA smooths the price data.
Vstop Calculation: The ATR (with customizable length) is used to adjust the stop distance, and the Vstop level is calculated based on whether the price is trending up or down.
Features and User Inputs
The "Dema Vstop" script offers a high degree of customization:
DEMA Length and Source: Control the smoothness of the DEMA and the price data being smoothed.
Vstop Length: Customize the length of the ATR calculation to control how reactive the Vstop is to price volatility.
Multiplier: Adjust the sensitivity of the Vstop to market volatility. A higher multiplier results in a wider stop, while a lower multiplier tightens the stop, making it more sensitive to price changes.
Practical Applications
The "Dema Vstop" is designed for traders looking for a hybrid trend-following system that is both smooth and responsive. It can be particularly useful for:
Identifying Trends: The combination of DEMA and Vstop makes trend-following easier, helping traders stay in profitable positions longer.
Volatility Protection: The Vstop dynamically adjusts based on market volatility, providing a built-in risk management tool that reduces exposure to volatile markets.
Reversals and Entries: The Vstop helps identify potential reversals by flipping its stop level when the trend direction changes, making it effective for signaling entries and exits with improved accuracy.
Advantages and Strategic Value
The key advantage of the "Dema Vstop" script lies in its ability to offer smoother trend detection through the DEMA while dynamically adapting to volatility using the Vstop. This combination reduces false signals, providing traders with a more stable and reliable tool for trend trading. Additionally, the customizable parameters allow traders to fine-tune the indicator to suit different trading styles and market conditions.
Alerts and Visual Cues
The script comes with built-in alert conditions that trigger when a trend shift is detected:
- Dema Vstop Long: Signals a potential upward trend.
- Dema Vstop Short: Signals a potential downward trend.
These alerts ensure that traders can stay informed about critical market changes without constantly monitoring the chart.
Summary and Usage Tips
The "Dema Vstop | viResearch" script is an innovative trend-following tool that combines the smoothness of DEMA with the adaptive qualities of Vstop. By offering a customizable and dynamic system, this indicator helps traders navigate the complexities of volatile markets while reducing noise and false signals. Incorporating this script into your trading strategy can improve trend analysis and increase the accuracy of entries and exits.
Note: Backtests are based on past results and are not indicative of future performance.
Kalman PSaR [BackQuant]Kalman PSaR
Overview and Innovation
The Kalman PSaR combines the well-known Parabolic SAR (PSaR) with the advanced smoothing capabilities of the Kalman Filter . This innovative tool aims to enhance the traditional PSaR by integrating Kalman filtering, which reduces noise and improves trend detection. The Kalman PSaR adapts dynamically to price movements, making it a highly effective indicator for spotting trend shifts while minimizing the impact of false signals caused by market volatility.
Please Find the Basic Kalman Here:
Kalman Filter Dynamics
The Kalman Filter is a powerful algorithm for estimating the true value of a system amidst noisy data. In the Kalman PSaR, this filter is applied to the high, low, and closing prices, resulting in a smoother and more accurate representation of price action. The filter’s parameters—process noise and measurement noise—are customizable, allowing traders to fine-tune the sensitivity of the indicator to market conditions. By reducing the impact of noise, the Kalman-filtered PSaR offers clearer signals for identifying trend reversals and continuations.
Enhanced PSaR Calculation
The traditional Parabolic SAR is a popular trend-following indicator that highlights potential entry and exit points based on price acceleration. In the Kalman PSaR, this calculation is enhanced by the Kalman-filtered prices, providing a smoother and more reliable signal. The indicator continuously updates based on the acceleration factor and max step values, while the Kalman filter ensures that sudden price spikes or market noise do not trigger false signals.
Min Step and Max Step: These settings control the sensitivity of the PSaR. The Min Step sets the initial acceleration factor, while the Max Step limits how fast the PSaR adapts to price changes, helping traders fine-tune the indicator’s responsiveness.
Optional Smoothing Techniques To further enhance the signal clarity, the Kalman PSaR includes an optional smoothing feature. Traders can choose from various smoothing methods, such as SMA, Hull, EMA, WMA, TEMA, and more, to reduce short-term fluctuations and emphasize the underlying trend. The smoothing period is customizable, allowing traders to adjust the indicator’s behavior according to their preferred trading style and timeframe.
Color-Coded Candle Painting The Kalman PSaR features color-coded candles that change according to the trend direction. When the price is above the PSaR, candles are painted green to indicate a long trend, and when the price is below the PSaR, candles are painted red to signal a short trend. This visual representation makes it easy to interpret market sentiment at a glance, improving decision-making speed during fast-moving markets.
Key Features and Customization
Kalman Filter Customization: The process noise and measurement noise parameters allow traders to adjust how aggressively the filter adapts to price changes, making it suitable for both volatile and stable markets.
Smoothing Options: A variety of moving average types, such as SMA, Hull, EMA, and more, can be applied to smooth the PSaR values, ensuring that the signal remains clear even in choppy markets.
Dynamic Trend Detection: The Kalman PSaR dynamically updates based on price movements, helping traders spot trend reversals early while filtering out false signals caused by short-term volatility.
Bar Coloring and PSaR Plotting: Traders can choose to color candles based on trend direction or plot the PSaR directly on the chart for additional visual clarity.
Practical Applications
Trend-Following Strategies: The Kalman PSaR excels in trend-following strategies by providing timely signals of trend changes. The dynamic nature of the indicator allows traders to capture significant price movements while avoiding market noise.
Reversal Identification: The indicator’s ability to filter out noise and provide smoother signals makes it ideal for identifying reversals in volatile markets.
Risk Management: By plotting clear stop levels based on the PSaR, traders can use this indicator to effectively manage risk, placing stop-loss orders at key points based on the trend direction.
Conclusion
The Kalman PSaR is a fusion of the classic Parabolic SAR and the Kalman filter, offering enhanced trend detection with reduced noise. Its customizable filtering and smoothing options, combined with dynamic trend-following capabilities, make it a versatile tool for traders seeking to improve their timing and signal accuracy. The adaptive nature of the Kalman filter, combined with the robust PSaR logic, helps traders stay on the right side of the market and manage risk more effectively.
Kalman Filter RoC with Adaptive Thresholds [BackQuant]Kalman Filter RoC with Adaptive Thresholds
Another Kalman Script !!
Please Find the Basic Kalman Here:
Overview and Purpose
The Kalman Filter RoC with Adaptive Thresholds is an advanced tool designed for traders seeking to refine their trend detection and momentum analysis. By combining the robustness of the Kalman filter with the Rate of Change (RoC) indicator, this tool offers a highly responsive and adaptive method to identify shifts in market trends. The inclusion of adaptive thresholding further enhances the indicator’s precision by dynamically adjusting to market volatility, providing traders with reliable entry and exit signals.
Kalman Filter Dynamics
The Kalman Filter is renowned for its ability to estimate the true state of a system amidst noisy data. In this indicator, the Kalman filter is applied to the price data to smooth out fluctuations and generate a more accurate representation of the underlying trend. This is particularly useful in volatile markets where noise can obscure the true direction of price movements. The Kalman filter adapts in real-time based on user-defined parameters, such as process noise and measurement noise, making it highly customizable for different market conditions.
Rate of Change (RoC) and Smoothing The Rate of Change (RoC) is a classic momentum indicator that measures the percentage change in price over a specific period. By integrating it with the Kalman-filtered price, the RoC becomes more responsive to genuine price trends while filtering out short-term noise. An optional smoothing feature using the ALMA (Arnaud Legoux Moving Average) further refines the signal, allowing traders to adjust the calculation length and smoothing factor (sigma) for even greater precision.
Adaptive Thresholds A key innovation in this indicator is the adaptive thresholding mechanism. Traditional RoC indicators rely on static thresholds to identify overbought or oversold conditions, but the Kalman Filter RoC adapts these thresholds dynamically. The adaptive thresholds are calculated based on the historical volatility of the filtered RoC values, allowing the indicator to adjust in response to changing market conditions. This feature reduces the risk of false signals in choppy or highly volatile markets.
Divergence Detection The Kalman Filter RoC also includes divergence detection, helping traders identify when the momentum of the RoC diverges from the price action. Divergences can often signal potential reversals or trend continuations, making them a valuable tool in any trader’s toolkit. Regular and hidden divergences are plotted directly on the chart, providing visual cues for traders to act upon.
Customization and Flexibility This indicator offers a wide range of customization options, making it suitable for various trading strategies and market conditions:
Process Noise & Measurement Noise: These parameters control how sensitive the Kalman filter is to price changes and help traders fine-tune the balance between noise reduction and signal responsiveness.
ALMA Smoothing: Traders can apply ALMA smoothing to the RoC signal to reduce short-term volatility and improve signal clarity.
Adaptive Threshold Calculation Period: The length of the lookback period for the adaptive thresholds can be adjusted, allowing traders to tailor the indicator to fit their specific trading style.
Practical Applications
Trend Detection: The Kalman-filtered RoC helps identify shifts in momentum, making it easier for traders to spot emerging trends early. The dynamic thresholding ensures that these signals are reliable, even in volatile markets.
Divergence Trading: Divergences between the RoC and price action are clear indicators of potential trend reversals. The visual plotting of divergences simplifies the process of identifying these opportunities.
Momentum Analysis: The combination of Kalman filtering and RoC provides a smoother, more accurate view of market momentum, helping traders stay on the right side of the market.
Conclusion
The Kalman Filter RoC is a powerful and adaptable tool that merges advanced filtering techniques with momentum analysis. Its real-time responsiveness and dynamic thresholding make it a highly effective indicator for identifying trends, managing risk, and capitalizing on divergence signals. Traders looking to enhance their trend-following or momentum strategies will find this indicator to be a valuable addition to their toolkit.
Thus following all of the key points here are some sample backtests on the 1D Chart
Disclaimer: Backtests are based off past results, and are not indicative of the future.
INDEX:BTCUSD
INDEX:ETHUSD
BINANCE:SOLUSD
Austin's Range Filter with Trade SignalsAustin’s Range Filter with Trade Signals
Description:
Austin’s Range Filter with Trade Signals is a versatile indicator that combines a custom range filter with dynamic buy and sell signals based on EMA crossovers. This indicator is designed to help traders easily identify trend reversals and optimal trade entry/exit points.
Key Features:
• Range Filter Calculation: The indicator calculates the highest and lowest price over a user-defined period, then multiplies the difference by a customizable multiplier to establish a dynamic range. A combined middle band (average of the upper and lower bounds) is plotted for a clearer visual representation of the price trend.
• Exponential Moving Average (EMA): A user-configurable EMA is added, which acts as the primary signal line. You can adjust the length of the EMA to suit your trading style.
• Buy and Sell Signals:
• Buy Signal: Triggered when the price crosses above the EMA, indicating a potential upward trend.
• Sell Signal: Triggered when the price crosses below the EMA, indicating a potential downward trend.
• Alerts: Custom alert conditions for buy and sell signals allow you to set up real-time notifications when the signal changes, so you never miss an opportunity.
• Customizable Display: You can toggle the visibility of the combined band (purple) and the EMA (blue) for a cleaner chart.
How It Works:
• Buy when the price crosses above the EMA.
• Sell when the price crosses below the EMA.
• Background colors indicate whether the current price is above or below the calculated range, helping you visually identify bullish and bearish conditions.
Customization Options:
• Range Filter Length: The lookback period for the highest/lowest price calculation.
• Range Multiplier: Adjusts the size of the range.
• EMA Length: Set the length of the EMA to fine-tune the signal sensitivity.
• Toggle Lines: Show or hide the combined band and EMA for more flexibility.
This indicator is suitable for a variety of markets including stocks, forex, and crypto, and can be applied to any timeframe. Use it as part of your technical analysis to spot market trends and improve your decision-making process.
How to Use:
1. Apply the indicator to your chart and adjust the settings to suit your strategy.
2. Set up alerts for buy and sell signals to receive real-time notifications.
3. Monitor the price relative to the range and EMA to better time your trades.
This indicator is perfect for traders looking for an intuitive yet powerful tool to enhance their trading strategies with automatic signals and alerts.
Dema Supertrend | viResearchDema Supertrend | viResearch
Conceptual Foundation and Innovation
The "Dema Supertrend" indicator by viResearch combines the benefits of the Double Exponential Moving Average (DEMA) with the popular Supertrend method to provide an advanced tool for trend detection and volatility management. By integrating DEMA into the Supertrend calculation, the indicator reduces lag while enhancing responsiveness to market changes. This results in more accurate trend identification and a refined method for capturing directional movements.
Technical Composition and Calculation
The "Dema Supertrend" builds on the core principles of the Supertrend indicator by incorporating DEMA for smoother and more responsive trend detection. The key innovation lies in replacing the raw price data with the DEMA-smoothed values, allowing traders to identify trends with reduced noise and enhanced precision.
DEMA and ATR-Based Supertrend Calculation:
DEMA Calculation (demalen): The Double Exponential Moving Average is applied to the price data (hlc3 by default) over a user-defined length, providing a smoothed representation of the market trend. DEMA minimizes lag compared to simple or exponential moving averages, allowing for more timely trend identification.
Supertrend Bands (u, l): The Supertrend upper and lower bands are calculated by adding or subtracting a multiple of the Average True Range (ATR) from the DEMA value. These bands dynamically adjust to market volatility, acting as support and resistance levels to guide trading decisions.
Trend Logic (L, S): The script determines whether the price is above or below the bands to signal an uptrend (L) or downtrend (S). Crosses above or below these bands trigger visual alerts and trend changes, with alerts built in for potential long or short positions.
Trend Continuation and Reversal:
The indicator ensures that once a trend is identified, it persists until clear reversal criteria are met. This is achieved through a comparison of the current and previous values of the Supertrend bands, reducing the occurrence of false signals in volatile markets.
Features and User Inputs
The "Dema Supertrend" script offers a range of customizable options, allowing traders to tailor the indicator to different market conditions and trading strategies:
Supertrend Length: The length of the Supertrend period can be adjusted, allowing traders to control the sensitivity of the trend detection.
Multiplier: The ATR multiplier adjusts the distance between the DEMA and the Supertrend bands. A higher multiplier reduces the frequency of trend changes, while a lower multiplier increases sensitivity to price movements.
DEMA Length: The length of the DEMA calculation can be customized to smooth price data over different timeframes, helping traders capture long-term trends or short-term movements more effectively.
Practical Applications
The "Dema Supertrend" is an ideal tool for traders who seek to follow trends while minimizing the impact of market noise. Its combination of DEMA and Supertrend provides a clear, dynamic view of the market's direction, making it especially effective in volatile environments.
Key Uses:
- Trend Following: The Dema Supertrend helps traders align their positions with the prevailing market trend by providing clear signals for uptrends and downtrends based on DEMA-smoothened price action.
- Volatility Management: The integration of ATR ensures that the Supertrend bands adapt to changes in market volatility, allowing traders to avoid entering trades during choppy, unpredictable price movements.
- Signal Confirmation: The script includes visual and alert-based signals for trend continuation and reversal, enabling traders to confirm entries and exits with greater accuracy.
Advantages and Strategic Value
The "Dema Supertrend" offers several strategic advantages:
- Reduced Lag: By integrating DEMA into the Supertrend calculation, the indicator responds more quickly to price changes, reducing the lag inherent in traditional moving averages.
- Noise Reduction: The use of DEMA filters out short-term fluctuations, providing a clearer signal for traders looking to capture significant market trends.
- Dynamic Adjustments: The combination of ATR and DEMA allows the indicator to adapt to both trending and ranging markets, making it suitable for a variety of trading strategies.
Summary and Usage Tips
The "Dema Supertrend" is a powerful tool for trend-following traders, offering a precise and adaptive method for identifying and confirming market direction. Traders can experiment with different settings for the Supertrend and DEMA lengths, as well as the ATR multiplier, to optimize the indicator for various trading environments. For best results, use the "Dema Supertrend" in conjunction with other technical analysis tools to confirm trends and manage risk. Whether you're seeking to capture long-term market moves or react to short-term volatility, the "Dema Supertrend" provides a reliable and flexible solution for your trading strategy.
Lsma | viResearchLsma | viResearch
Certainly! Here's the revised text:
Conceptual Foundation and Innovation
The "Lsma" (Least Squares Moving Average) indicator, developed by viResearch, offers a refined approach to trend detection by using linear regression to smooth price data. Unlike traditional moving averages, the Lsma reduces lag by fitting a linear regression line through the data points, providing a more responsive and accurate representation of price trends. This dynamic approach enables traders to capture market movements with greater precision, especially in fast-moving markets.
Technical Composition and Calculation
The "Lsma" indicator is based on the least squares method, a statistical analysis technique that minimizes the difference between observed and predicted values. By applying this method to price data, the Lsma indicator calculates a trend line that reduces the impact of random fluctuations.
Linear Regression Calculation:
Length (len_lsma): The Lsma is computed over a user-defined period, allowing traders to adjust the sensitivity of the indicator to market conditions. A longer period provides a smoother trend, while a shorter period makes the indicator more responsive to recent price changes.
Offset (off): The script includes an optional offset parameter, which shifts the trend line forward or backward, providing additional flexibility in visualizing market trends.
Source (src): The input source (default: close price) determines which price data the Lsma is applied to. This can be customized to suit various trading strategies.
Trend Identification:
Lsma Direction: The script compares the current Lsma value to its previous value to detect trend direction. If the Lsma is increasing and the price is above it, this signals an uptrend (L). Conversely, if the Lsma is decreasing and the price is below it, this signals a downtrend (S).
Entry Confirmation (en): The user can select an entry confirmation source to further validate potential trade signals. This ensures that traders are not solely reliant on the Lsma's trend direction but can also confirm signals with additional data points.
Features and User Inputs
The "Lsma" script offers several customizable options, making it adaptable to various trading styles and market conditions:
Lsma Length: Controls the period over which the Lsma is calculated. Traders can increase this value to smooth out short-term fluctuations or reduce it for faster trend detection.
Offset: Allows users to shift the Lsma plot, which can help in analyzing trends or refining entry and exit points.
Source and Entry Confirmation: The indicator can be applied to different data sources, and users can select a secondary confirmation source for more accurate signal generation.
Practical Applications
The "Lsma" indicator is a versatile tool, especially well-suited for traders seeking to capture trends with minimal lag. It is particularly effective in volatile markets where traditional moving averages may lag behind price action, leading to delayed signals.
Key Uses:
Trend Following: The Lsma provides a clear view of the market's direction, allowing traders to align their positions with the prevailing trend.
Signal Confirmation: The entry confirmation feature enhances the reliability of trend signals, reducing the likelihood of false entries in choppy markets.
Trade Timing: The customizable length and offset settings give traders flexibility in determining the optimal timing for entering and exiting trades.
Advantages and Strategic Value
The "Lsma" indicator offers several advantages over traditional moving averages:
Reduced Lag: By applying linear regression, the Lsma minimizes lag, providing more timely trend signals.
Customizability: The adjustable length, offset, and source inputs give traders the ability to fine-tune the indicator to their specific needs.
Trend Clarity: The indicator's design ensures that only significant trends are captured, filtering out short-term noise that can obscure the bigger picture.
Summary and Usage Tips
The "Lsma" indicator is an excellent tool for trend-following traders, offering a powerful blend of precision and adaptability. By using linear regression, it provides a more accurate and responsive measure of price trends, helping traders stay aligned with market direction. For best results, traders should experiment with different Lsma lengths and entry confirmation sources to tailor the indicator to their strategy. Whether used for identifying trend reversals or confirming trend strength, the "Lsma" indicator is a reliable and versatile solution for modern trading.
Tomorrow Floor Pivots with CPR By Nifty ZThe colors for resistance and support levels have been updated to gradient reds and greens for clearer distinction.
The CPR band uses light blue and purple to stand out more effectively.
Here's a detailed explanation of the user inputs and the typical use of **Floor Pivots for Tomorrow’s Market Range** in a trading context, focusing on support, resistance, and breakout scenarios:
The script allows traders to customize key parameters for their analysis:
1. Pivot Timeframe:
- Users can select different timeframes for calculating floor pivots, such as 1 hour, 4 hours, daily, weekly, monthly, etc.
- This is crucial because the timeframe selection influences the granularity of the support and resistance levels for the next trading day.
- For instance, selecting a **Daily** timeframe will calculate floor pivots for the next trading day, while selecting **Weekly** will give levels for the upcoming week.
2. Show Floor Pivots:
- Users can toggle the visibility of the calculated **Floor Pivots**, which include resistance levels (R1, R2, R3, R4) and support levels (S1, S2, S3, S4).
3. Show CPR (Central Pivot Range):
- CPR (Central Pivot Range) is a key area where the price tends to consolidate.
- The script allows users to enable or disable the visibility of CPR, which consists of the BC (Bottom Central Pivot) and TC (Top Central Pivot).
4. Show Labels:
- Users can choose whether or not to display labels indicating the **Pivot**, **Support**, and Resistance levels on the chart. This can be helpful for visual analysis when day trading.
Understanding Floor Pivots
The Floor Pivots (Pivot, Resistance, and Support levels) for tomorrow's market range are calculated based on today’s high, low, and close. These levels help traders anticipate how the market may behave in the upcoming session.
1. Pivot:
- The Pivot Point is a central level, calculated as the average of the high, low, and close. It’s considered a reference point that determines the market’s overall bias.
- If the price is trading **above the pivot**, it generally suggests a **bullish** sentiment for the day.
- If the price is trading **below the pivot**, it suggests a **bearish** sentiment.
2. Resistance Levels (R1, R2, R3, R4):
- R1 is often the first area where price may stall in an uptrend. It represents the first major resistance level.
- **R2**, **R3**, and **R4** mark additional levels of resistance, progressively further away from the current price. These are used to project potential upward targets.
- These resistance levels are areas where the price might encounter selling pressure, especially during day trading.
3. **Support Levels (S1, S2, S3, S4):**
- Similarly, **S1** is the first area where the price might find support in a downtrend.
- **S2**, **S3**, and **S4** provide deeper support levels where the price may bounce from.
- These support zones are used by day traders to anticipate where the price might reverse upward.
### **Role of Resistance and Support in Day Trading**
- **Resistance Levels (R1, R2, R3, R4)** indicate potential areas where price could **stall** during an uptrend. These levels are useful for **short-term traders** looking to set exit points or identify reversal zones.
- **Support Levels (S1, S2, S3, S4)** highlight areas where the price could **find support** and potentially **bounce** higher. These levels are particularly helpful for identifying buy zones in a downtrend.
- If a price **breaks out** above the resistance levels or **breaks down** below the support levels, it often signals a strong trend continuation.
### **Understanding the Central Pivot Range (CPR)**
The **CPR** is formed by two key levels:
- **BC (Bottom Central Pivot):** The midpoint of the day’s high and low.
- **TC (Top Central Pivot):** The difference between the pivot and BC.
The CPR acts as a region of **consolidation** or **indecision** where the market is likely to stay within a narrow range. The width of the CPR gives traders a sense of volatility:
- A **narrow CPR** often signals that a **breakout** is imminent.
- A **wider CPR** suggests that the market could remain range-bound.
### **Market Sentiment Based on Floor Pivots**
The relationship between **today’s** and **tomorrow’s pivots** is crucial in determining the market sentiment for the next day.
1. **Bullish Case (Higher Highs):**
- If **tomorrow's pivot** is higher than **today's pivot**, it indicates a **bullish sentiment**. This suggests that the market is likely to trend upward in the next session.
- In a **bullish overlapping pivot range**, if **Day 1 (today)** is higher than **Day 2 (tomorrow)**, traders expect continued upward momentum.
2. **Bearish Case (Lower Lows):**
- Conversely, if **tomorrow's pivot** is lower than **today's pivot**, it suggests a **bearish sentiment** and that the market could trend downward in the next session.
- In a **bearish overlapping pivot range**, if **Day 1 (today)** is lower than **Day 2 (tomorrow)**, traders expect continued downward pressure.
### **Breakout Scenarios**
A breakout occurs when the price **violates either the support or resistance levels** significantly, indicating that the price is moving in the direction of the breakout.
1. **Bullish Breakout:**
- If the price consistently stays **above the CPR** and **resistance levels (R1, R2)**, it indicates a strong **bullish breakout**.
- This is especially true when the **CPR is narrow** for both days, signaling a buildup in price action and a potential breakout to the upside.
2. **Bearish Breakout:**
- If the price breaks **below the CPR** and **support levels (S1, S2)**, it indicates a **bearish breakout**.
- A narrow CPR on **both days** suggests that a breakout to the downside could be imminent.
3. **Neutral or Ranging Days:**
- Sometimes, the CPR stays **unchanged** for 4-5 days, indicating a period of **consolidation** where the price is moving within a tight range. This often leads to a significant breakout once the consolidation ends.
Strategic Application of Floor Pivots for Tomorrow
Traders use floor pivots to plan their next-day trades by:
- **Aligning with Market Sentiment:** Based on whether tomorrow’s pivot is higher or lower than today’s, traders can align their trades in the direction of the market’s overall bias.
- **Identifying Entry and Exit Points:** Resistance and support levels provide well-defined areas to enter or exit trades, making pivots essential for day trading strategies.
- **Anticipating Breakouts:** Monitoring the width of the CPR and the relation between pivots helps traders anticipate potential breakouts, allowing them to react quickly to sudden price movements.
By effectively using these pivots and understanding their significance, traders can improve their decision-making for short-term trades in the stock or futures markets.
HMA Smoothed RSI [Pinescriptlabs]This indicator uses a modified version of the RSI (Relative Strength Index) weighted by volume. This means it not only takes into account the price but also the amount of volume supporting those price movements, making the indicator more sensitive to real market fluctuations.
Hull Moving Average (HMA) Applied to RSI: To smooth the volume-weighted RSI, a Hull Moving Average (HMA) is applied. The HMA is known for its ability to reduce market "noise" and quickly react to trend changes. This process helps better identify when an asset is overbought or oversold.
Overbought and Oversold Regions: The indicator sets clear overbought and oversold levels, which are adjustable. By default, the overbought level is set at 20 and the oversold level at -20, but you can customize these values. Additionally, there are extreme overbought and oversold levels to help identify more extreme market conditions where a price reversal is more likely.
Buy and Sell Signals:
Buy Signal: This is generated when the modified RSI crosses above the oversold level. This indicates that the price has dropped enough and may be about to rise.
Sell Signal: This occurs when the RSI crosses below the overbought level. This suggests that the price has risen too much and could be about to fall.
Dynamic Visualization and Colors: The indicator is displayed with different colors based on its behavior:
When the RSI is within normal levels, the color is neutral.
If it is above the overbought level, the color turns red (sell alert).
If it is below the oversold level, the color turns green (buy alert).
Alerts: This indicator also allows you to set up alerts. You will receive automatic notifications when buy or sell signals are generated, helping you make decisions without constantly monitoring the chart.
Español:
Este indicador utiliza una versión modificada del RSI (Índice de Fuerza Relativa), ponderado por volumen. Esto significa que no solo tiene en cuenta el precio, sino también la cantidad de volumen que respalda esos movimientos de precios, haciendo que el indicador sea más sensible a las fluctuaciones reales del mercado.
Media Móvil Hull (HMA) aplicada al RSI: Para suavizar el RSI ponderado por volumen, se le aplica una Media Móvil Hull (HMA). La HMA es conocida por su capacidad para reducir el "ruido" del mercado y reaccionar rápidamente a los cambios de tendencia. Este proceso ayuda a identificar mejor cuándo un activo está sobrecomprado o sobrevendido.
Regiones de sobrecompra y sobreventa: El indicador establece niveles claros de sobrecompra y sobreventa que son ajustables. Por defecto, el nivel de sobrecompra está en 20 y el de sobreventa en -20, pero puedes personalizar estos valores. Además, hay niveles extremos de sobrecompra y sobreventa que te ayudan a identificar condiciones más extremas del mercado, donde una reversión de precio es más probable.
Señales de compra y venta:
Señal de compra: Se genera cuando el RSI modificado cruza hacia arriba el nivel de sobreventa. Esto indica que el precio ha bajado lo suficiente y puede estar a punto de subir.
Señal de venta: Se produce cuando el RSI cruza hacia abajo el nivel de sobrecompra. Esto indica que el precio ha subido demasiado y podría estar a punto de bajar.
Visualización y colores dinámicos: El indicador se muestra con diferentes colores según su comportamiento:
Cuando el RSI está dentro de los niveles normales, el color es neutro.
Si está por encima del nivel de sobrecompra, el color se vuelve rojo (señal de alerta de venta).
Si está por debajo del nivel de sobreventa, el color se vuelve verde (señal de alerta de compra).
Alertas: Este indicador también te permite configurar alertas. Así, recibirás notificaciones automáticas cuando se generen señales de compra o venta, ayudándote a tomar decisiones sin estar constantemente monitoreando el gráfico.
Inverted SD Dema RSI | viResearchInverted SD Dema RSI | viResearch
The "Inverted SD Dema RSI" developed by viResearch introduces a new approach to trend analysis by combining the Double Exponential Moving Average (DEMA), Standard Deviation (SD), and Relative Strength Index (RSI). This unique indicator provides traders with a tool to capture market trends by integrating volatility-based thresholds. By using the smoothed DEMA along with standard deviation, the indicator offers improved responsiveness to price fluctuations, while RSI thresholds offer insight into overbought and oversold market conditions.
At the core of the "Inverted SD Dema RSI" is the combination of DEMA and standard deviation for a more nuanced view of market volatility. The use of RSI further aids in detecting price extremes and potential trend reversals.
DEMA Calculation (sublen): The Double Exponential Moving Average (DEMA) smoothes out price data over a user-defined period, reducing lag compared to traditional moving averages. This provides a clearer representation of the market's overall direction.
Standard Deviation Calculation (sublen_2): The standard deviation of the DEMA is used to define the upper (u) and lower (d) bands, highlighting areas where price volatility may signal a change in trend. These dynamic bands help traders gauge price volatility and potential breakouts or breakdowns.
RSI Calculation (len): The script applies the Relative Strength Index (RSI) to the smoothed DEMA values, allowing traders to detect momentum shifts based on a modified data set. This provides a more accurate reflection of market strength when combined with the DEMA.
Thresholds: The RSI is compared to user-defined thresholds (70 for overbought and 55 for oversold conditions). These thresholds help in identifying potential market reversals, especially when the price breaks outside of the calculated standard deviation bands.
Uptrend (L): An uptrend signal is generated when the RSI exceeds the upper threshold (70) and the price is not above the upper standard deviation band, indicating that there may be room for further price appreciation.
Downtrend (S): A downtrend signal occurs when the RSI falls below the lower threshold (55), indicating that the price may continue to decline.
The "Inverted SD Dema RSI" offers a wide range of customizable settings, allowing traders to adjust the indicator based on their trading style or market conditions.
DEMA Length (sublen): Controls the period used to smooth the price data, impacting the sensitivity of the DEMA to recent price movements.
Standard Deviation Length (sublen_2): Defines the length over which the standard deviation is calculated, helping traders control the width of the upper and lower bands.
RSI Length (len): Adjusts the period used for the RSI calculation, providing flexibility in determining overbought and oversold conditions.
RSI Thresholds: Traders can define their own levels for detecting trend reversals, with default values of 70 for an uptrend and 55 for a downtrend.
The "Inverted SD Dema RSI" is particularly well-suited for traders looking to capture trends while accounting for volatility and momentum. By using a smoothed DEMA as the foundation, it effectively filters out noise, making it ideal for detecting reliable trends in volatile markets.
Key Uses:
Trend Following: The indicator’s combination of DEMA, standard deviation, and RSI helps traders follow trends more effectively by reducing noise and identifying key momentum shifts.
Volatility Filtering: The use of standard deviation bands provides a dynamic measure of volatility, ensuring that traders are aware of potential breakouts or breakdowns in the market.
Momentum Detection: The inclusion of RSI ensures that the indicator is not only focused on trend direction but also on the strength of the underlying momentum, helping traders avoid entering trades during weak trends.
The "Inverted SD Dema RSI" provides several key advantages over traditional trend-following indicators:
Reduced Lag: The use of DEMA ensures faster trend detection, reducing the lag associated with simple moving averages.
Noise Reduction: The integration of standard deviation helps filter out irrelevant price movements, making it easier to identify significant trends.
Momentum Awareness: The addition of RSI provides valuable insight into the strength of trends, helping traders avoid false signals during periods of weak momentum.
The "Inverted SD Dema RSI" offers a powerful blend of trend-following and momentum detection, making it a versatile tool for modern traders. By integrating DEMA, standard deviation, and RSI, the indicator provides a comprehensive view of market trends and volatility. Traders are encouraged to experiment with different settings for the DEMA length, standard deviation, and RSI thresholds to fine-tune the indicator for their specific trading strategies. Whether used for trend confirmation, volatility assessment, or momentum analysis, the "Inverted SD Dema RSI" offers a valuable tool for traders seeking a comprehensive approach to market analysis.
Median Standard Deviation | viResearchMedian Standard Deviation | viResearch
The "Median Standard Deviation" indicator, developed by viResearch, introduces a unique combination of median smoothing and standard deviation to detect trends and volatility in market data. This tool provides traders with a stable and accurate measure of price trends by integrating median smoothing with a customized calculation of the standard deviation. This innovative approach allows for enhanced sensitivity to market fluctuations while filtering out short-term price noise.
Technical Composition and Calculation:
The "Median Standard Deviation" indicator incorporates median smoothing and dynamic standard deviation calculations to build upon traditional volatility measures.
Median Smoothing:
DEMA Calculation (len_dema): The script applies a Double Exponential Moving Average (DEMA) to smooth the price data over a user-defined period, reducing noise and helping traders focus on broader market trends.
Median Calculation (median_len): The smoothed DEMA data is further refined by calculating the 50th percentile (median) over a specified length, ensuring that the central tendency of price data is captured more accurately than with a simple moving average.
Volatility Measurement:
ATR Calculation (atr_len, atr_mul): The script incorporates the Average True Range (ATR) to measure market volatility. The user-defined ATR multiplier is applied to this value to calculate upper and lower trend bands around the median, providing a dynamic measure of potential price movement based on recent volatility.
Standard Deviation Analysis:
Standard Deviation Calculation (len_sd): The script calculates the standard deviation of the median over a user-defined length, providing another layer of volatility measurement. The upper and lower standard deviation bands (sdd, sdl) act as additional indicators of price extremes.
Trend Detection:
Trend Logic: The indicator uses the calculated bands to identify whether the price is moving within or outside the standard deviation and ATR bands. Crosses above or below these bands are used to signal potential uptrends or downtrends, offering traders a clear view of market direction.
Features and User Inputs:
The "Median Standard Deviation" script offers a variety of user inputs to customize the indicator to suit traders' styles and market conditions:
DEMA Length: Allows traders to adjust the sensitivity of the DEMA smoothing to control the amount of noise filtered from the price data.
Median Length: Users can define the length over which the median price is calculated, providing flexibility in capturing short-term or long-term trends.
ATR Length and Multiplier: These inputs let traders fine-tune the ATR calculation, affecting the size of the dynamic upper and lower bands.
Standard Deviation Length: Controls how the standard deviation is calculated, allowing for further customization in detecting price volatility.
Practical Applications:
The "Median Standard Deviation" indicator is particularly effective in volatile markets where price swings can lead to false signals using traditional methods. By combining median smoothing and standard deviation, this tool provides a more robust analysis of trends and price movements.
Key Uses:
Trend Following: The upper and lower bands provide clear signals for entering and exiting trades based on whether the price is moving outside the calculated ranges.
Volatility Detection: The integration of ATR and standard deviation bands allows traders to assess market volatility in real time, enabling more informed trading decisions.
Noise Reduction: The use of median smoothing ensures that short-term price fluctuations do not interfere with broader trend analysis, making this indicator ideal for traders looking to avoid whipsaws in volatile markets.
Advantages and Strategic Value:
The "Median Standard Deviation" indicator offers several key advantages:
Precision in Trend Detection: The combination of median smoothing and standard deviation allows traders to detect trends with greater accuracy, reducing the risk of false signals.
Customization: With several adjustable parameters, traders can fine-tune the indicator to suit different timeframes and trading strategies.
Volatility Sensitivity: By incorporating ATR and standard deviation, this indicator provides an adaptive measure of market volatility, ensuring that traders are always aware of potential price swings.
Summary and Usage Tips:
The "Median Standard Deviation" indicator is a powerful tool for traders looking to refine their analysis of market trends and volatility. Its combination of median smoothing and standard deviation provides a nuanced view of market movements, helping traders make better-informed decisions. It's recommended to experiment with the various input parameters to optimize the indicator for specific needs, whether used for trend detection, volatility analysis, or noise reduction. The "Median Standard Deviation" offers a reliable and adaptable solution for modern trading strategies.
Please keep in mind the following text: Backtests are based on past results and are not indicative of future performance.
