MVSF 6.0[ELPANO]The "MVSF 6.0 " indicator, which stands for Multi-Variable Strategy Framework, overlays on price charts to aid in trading decisions. It combines various moving averages and volume data to generate buy and sell signals based on predefined conditions.
Key features of the indicator include:
Moving Averages: It uses three exponential moving averages (EMAs) with lengths of 200, 100, and 50, and two simple moving averages (SMAs) with lengths of 14 and 9. These averages are combined into a single average line to detect trends.
Volume Analysis: The volume is assessed over a specified period (default is 2 bars) to determine its trend relative to its average, influencing the color and interpretation of signals.
Price Source and VWAP: Users can select the price (close, low, or high) used for calculations. The volume-weighted average price (VWAP) serves as a potential benchmark or condition in signal generation.
Signal Generation: Buy and sell signals are based on the relationship of the price to the average line and VWAP, the direction of the last candle, and the trend direction of the average line. These signals are visually represented on the chart.
Customization: Traders can toggle the visibility of signals, entry points, the average line, and even use these elements as conditions for filtering signals.
This script is designed to be flexible, allowing traders to modify settings according to their strategy needs. The description and implementation aim to provide clarity on how each component works together to assist in trading decisions, adhering to best practices for creating and publishing trading scripts.
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Der Indikator "MVSF 6.0 ", der für Multi-Variable Strategy Framework steht, wird über Preisdiagramme gelegt, um bei Handelsentscheidungen zu helfen. Er kombiniert verschiedene gleitende Durchschnitte und Volumendaten, um Kauf- und Verkaufssignale basierend auf vordefinierten Bedingungen zu generieren.
Wesentliche Merkmale des Indikators umfassen:
Gleitende Durchschnitte: Es werden drei exponentielle gleitende Durchschnitte (EMAs) mit Längen von 200, 100 und 50 sowie zwei einfache gleitende Durchschnitte (SMAs) mit Längen von 14 und 9 verwendet. Diese Durchschnitte werden zu einer einzelnen Durchschnittslinie kombiniert, um Trends zu erkennen.
Volumenanalyse: Das Volumen wird über einen festgelegten Zeitraum (standardmäßig 2 Balken) bewertet, um seinen Trend im Vergleich zum Durchschnitt zu bestimmen, was die Farbe und Interpretation der Signale beeinflusst.
Preisquelle und VWAP: Benutzer können den für Berechnungen verwendeten Preis (Schluss-, Tief- oder Hochkurs) auswählen. Der volumengewichtete Durchschnittspreis (VWAP) dient als mögliche Benchmark oder Bedingung bei der Generierung von Signalen.
Signalgenerierung: Kauf- und Verkaufssignale basieren auf dem Verhältnis des Preises zur Durchschnittslinie und zum VWAP, der Richtung der letzten Kerze und der Trendrichtung der Durchschnittslinie. Diese Signale werden visuell auf dem Diagramm dargestellt.
Anpassung: Händler können die Sichtbarkeit von Signalen, Einstiegspunkten, der Durchschnittslinie und sogar deren Verwendung als Bedingungen für die Filterung von Signalen ein- und ausschalten.
Dieses Skript ist so konzipiert, dass es flexibel ist und Händlern erlaubt, die Einstellungen gemäß ihren Strategiebedürfnissen zu modifizieren. Die Beschreibung und Implementierung zielen darauf ab, Klarheit darüber zu schaffen, wie jede Komponente zusammenarbeitet, um bei Handelsentscheidungen zu helfen, und halten sich an die besten Praktiken für die Erstellung und Veröffentlichung von Handelsskripten.
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Auto Volume Spread Analysis (VSA) [TANHEF]Auto Volume Spread Analysis (visible volume and spread bars auto-scaled): Understanding Market Intentions through the Interpretation of Volume and Price Movements.
All the sections below contain the same descriptions as my other indicator "Volume Spread Analysis" with the exception of 'Auto Scaling'.
█ Auto-Scaling
This indicator auto-scales spread bars to match the visible volume bars, unlike the previous "Volume Spread Analysis " version which limited the number of visible spread bars to a fixed count. The auto-scaling feature allows for easier navigation through historical data, enabling both more historical spread bars to be viewed and more historical VSA pattern labels being displayed without requiring using the bar replay tool. Please note that this indicator’s auto-scaling feature recalculates the visible bars on the chart, causing the indicator to reload whenever the chart is moved.
Auto-scaled spread bars have two display options (set via 'Spread Bars Method' setting):
Lines: a bar lookback limit of 500 bars.
Polylines: no bar lookback limit as only plotted on visible bars on chart, which uses multiple polylines are used.
█ Simple Explanation:
The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities.
█ Laws of Volume Spread Analysis (VSA):
The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws:
The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply.
The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend.
The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly.
█ Volume and Spread Analysis Bars:
Display: Volume and spread bars that consist of color coded levels, with the spread bars scaled to match the volume bars. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar.
Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends.
Low Level: Indicates reduced volatility and market interest.
Normal Level: Reflects typical market activity and volatility.
High Level: Indicates increased activity and volatility.
Ultra Level: Identifies extreme levels of activity and volatility.
This illustrates the appearance of Volume and Spread bars when scaled and plotted together:
█ Forecasting Capabilities:
Display: Forecasted volume and spread levels using predictive models.
Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear.
Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close.
Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion.
Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra).
The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels:
█ VSA Patterns:
Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data.
Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns.
Down Thrust
Selling Climax
No Effort ➤ Bearish Result
Bearish Effort ➤ No Result
Inverse Down Thrust
Failed Selling Climax
Bull Outside Reversal
End of Falling Market (Bag Holder)
Pseudo Down Thrust
No Supply
Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns.
Up Thrust
Buying Climax
No Effort ➤ Bullish Result
Bullish Effort ➤ No Result
Inverse Up Thrust
Failed Buying Climax
Bear Outside Reversal
End of Rising Market (Bag Seller)
Pseudo Up Thrust
No Demand
Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal.
Quiet Doji
Balanced Doji
Strong Doji
Quiet Spinning Top
Balanced Spinning Top
Strong Spinning Top
Quiet High Wave
Balanced High Wave
Strong High Wave
Consolidation
Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently.
Bull Pin Bar
Bear Pin Bar
Doji
Spinning Top
High Wave
Consolidation
This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern:
█ Alerts:
VSA Pattern Alerts: Notifications for identified VSA patterns at bar close.
Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra).
Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed.
█ Inputs and Settings:
Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels).
Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None).
Price Bar Colors: Options to color price bars based on VSA patterns and volume levels.
Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars.
Forecast: Configure forecast display and prediction details for volume and spread.
Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis.
Moving Average: Set volume and spread moving average settings.
VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral).
Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave).
Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars.
More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes.
Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels.
█ Usage:
The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Non-Sinusoidal Multi-Layered Moving Average OscillatorThis indicator utilizes multiple moving averages (MAs) of different lengths their difference and its rate of change to provide a comprehensive view of both short-term and long-term market trends. The output signal is characterized by its non-sinusoidal nature, offering distinct advantages in trend analysis and market forecasting.
Combining the difference between two moving averages with the ROC allows to assess not only the direction and strength of the trend but also the momentum behind it. Transforming these signal in to non-sinusoidal output enhances its utility.
The indicator allows traders to select any one or more of seven moving average options. Larger timeframes (e.g., MA89/MA144) provide a broader identification of the overall trend, helping to understand the general market direction. Smaller timeframes (e.g., MA5/MA8) are more sensitive to price changes and can indicate better entry and exit points, aiding in the identification of retracements and pullbacks. By combining multiple timeframes, traders can get a comprehensive view of the market, enabling more precise and informed trading decisions.
Key Features:
Multiple Moving Averages:
The indicator calculates several exponential moving averages (EMAs) based on different lengths: MA5, MA8, MA13, MA21, MA34, MA55, MA89, and MA144.
These MAs are further smoothed using a secondary exponential moving average, with the smoothing length customizable by the user.
Percentage Differences:
The indicator computes the percentage differences between successive MAs (e.g., (MA5 - MA8) / MA8 * 100). These differences highlight the relative movement of prices over different periods, providing insights into market momentum and trend strength.
Short-term MA differences (e.g., MA5/MA8) are more sensitive to recent price changes, making them useful for detecting quick market movements.
Long-term MA differences (e.g., MA89/MA144) smooth out short-term fluctuations, helping to identify major trends.
Rate of Change (ROC):
The indicator applies the Rate of Change (ROC) to the percentage differences of the MAs. ROC measures the speed at which the percentage differences are changing over time, providing an additional layer of trend analysis.
ROC helps in understanding the acceleration or deceleration of market trends, indicating the strength and potential reversals.
Transformations:
The percentage differences undergo a series of mathematical transformations (either inverse hyperbolic sine transformation or inverse fisher transformation) to refine the signal and enhance its interpretability. These transformations include adjustments to stabilize the values and highlight significant movements.
checkbox allows users to select which mathematical transformations to use.
Non-Sinusoidal Nature:
The output signal of this indicator is non-sinusoidal, characterized by abrupt changes and distinct patterns rather than smooth, wave-like oscillations.
The non-sinusoidal signal provides clearer demarcations of trend changes and is more responsive to sudden market shifts.
This nature reduces the lag typically associated with sinusoidal indicators, allowing for more timely and accurate trading decisions.
Customizable Options:
Users can select which MA pairs to include in the analysis using checkboxes. This flexibility allows the indicator to adapt to different trading strategies, whether focused on short-term movements or long-term trends.
Visual Representation:
The indicator plots the transformed values on a separate panel, making it easy for traders to visualize the trends and potential entry or exit points.
Usage Scenarios:
Short-Term Trading: By focusing on shorter MAs (e.g., MA5/MA8), traders can capture quick market movements and identify short-term trends.
Long-Term Analysis: Utilizing longer MAs (e.g., MA89/MA144) helps in identifying major market trends.
Combination of MAs: The ability to mix different MA lengths provides a balanced view, helping traders make decisions based on both immediate price actions and overall market direction.
Practical Benefits:
Early Signal Detection: The sensitivity of short-term MAs provides early signals for potential trend changes, assisting traders in timely decision-making.
Trend Confirmation: Long-term MAs offer stable trend confirmation, reducing the likelihood of false signals in volatile markets.
Noise Reduction: The mathematical transformations and ROC applied to the percentage differences help in filtering out market noise, focusing on meaningful price movements.
Improved Responsiveness: The non-sinusoidal nature of the signal allows the indicator to react more quickly to market changes, providing more accurate and timely trading signals.
Clearer Trend Demarcations: Non-sinusoidal signals make it easier to identify distinct phases of market trends, aiding in better interpretation and decision-making.
MA Optimizer Simplified [CHE]Introduction:
The MA Optimizer Simplified is a powerful tool for traders and analysts who want to compare and optimize various moving averages (MA). This tool is specifically designed to identify the best or worst performers among a variety of moving averages based on their cumulative performance.
Features and Benefits:
1. Versatility:
- Supports multiple types of moving averages, including:
- Simple Moving Average (SMA): A basic MA calculated by averaging the closing prices over a specified period.
- Exponential Moving Average (EMA): Gives more weight to recent prices, making it more responsive to new information.
- Weighted Moving Average (WMA): Assigns more weight to recent data, but in a linear fashion.
- Volume-Weighted Moving Average (VWMA): Averages prices based on volume, giving more importance to periods with higher trading volume.
- Hull Moving Average (HMA): Designed to reduce lag while improving smoothness.
- Smoothed Moving Average (SMMA or RMA): Averages prices over a longer period, providing a smoother line.
- Bollinger Bands: Uses SMA as a basis and adds upper and lower bands based on standard deviations.
- T3: A smoother and less lagging MA that reduces market noise.
- Allows users to easily switch between MA types and test different periods.
2. Performance Evaluation:
- Calculates the cumulative performance of up to ten different MAs.
- Automatically identifies the best or worst performer based on user selection (Best or Worst).
3. Crossover Detection:
- Detects crossovers of prices and MAs to measure performance.
- Provides clear visual signals when the price crosses a moving average.
4. Visual Representation:
- Plots the best MA indicator on the chart, dynamically changing its color based on price movement relative to the MA.
- Table functionality to display the performance of each MA, including the length and achieved performance in percentage.
5. Customizable Settings:
- Customizable settings for table size and position as well as colors for better visualization and user-friendliness.
- Flexibility in selecting the number of candles that must be above or below the MA before a signal is triggered.
Special Features:
1. T3 Indicator:
- The T3 indicator provides a smoother representation and reduces market noise, leading to more precise signals.
2. Crossover and Crossunder Logic:
- The script includes advanced logic for detecting crossover and crossunder events to identify accurate entry points.
3. Dynamic Color Change:
- The best MA indicator changes color based on the number of candles above or below the MA, helping to quickly recognize market sentiment.
4. Comprehensive Performance Analysis:
- The calculation of cumulative performance for each MA allows for detailed analysis and helps identify the most effective trading strategies.
Conclusion:
The MA Optimizer Simplified is an essential tool for any trader looking to analyze and optimize the performance of various moving averages. With its versatile features and user-friendly settings, it offers a comprehensive and efficient solution for technical analysis.
Best regards, Chervolino
Volume Spread Analysis [TANHEF]Volume Spread Analysis: Understanding Market Intentions through the Interpretation of Volume and Price Movements.
█ Simple Explanation:
The Volume Spread Analysis (VSA) indicator is a comprehensive tool that helps traders identify key market patterns and trends based on volume and spread data. This indicator highlights significant VSA patterns and provides insights into market behavior through color-coded volume/spread bars and identification of bars indicating strength, weakness, and neutrality between buyers and sellers. It also includes powerful volume and spread forecasting capabilities.
█ Laws of Volume Spread Analysis (VSA):
The origin of VSA begins with Richard Wyckoff, a pivotal figure in its development. Wyckoff made significant contributions to trading theory, including the formulation of three basic laws:
The Law of Supply and Demand: This fundamental law states that supply and demand balance each other over time. High demand and low supply lead to rising prices until demand falls to a level where supply can meet it. Conversely, low demand and high supply cause prices to fall until demand increases enough to absorb the excess supply.
The Law of Cause and Effect: This law assumes that a 'cause' will result in an 'effect' proportional to the 'cause'. A strong 'cause' will lead to a strong trend (effect), while a weak 'cause' will lead to a weak trend.
The Law of Effort vs. Result: This law asserts that the result should reflect the effort exerted. In trading terms, a large volume should result in a significant price move (spread). If the spread is small, the volume should also be small. Any deviation from this pattern is considered an anomaly.
█ Volume and Spread Analysis Bars:
Display: Volume and/or spread bars that consist of color coded levels. If both of these are displayed, the number of spread bars can be limited for visual appeal and understanding, with the spread bars scaled to match the volume bars. While automatic calculation of the number of visual bars for auto scaling is possible, it is avoided to prevent the indicator from reloading whenever the number of visual price bars on the chart is adjusted, ensuring uninterrupted analysis. A displayable table (Legend) of bar colors and levels can give context and clarify to each volume/spread bar.
Calculation: Levels are calculated using multipliers applied to moving averages to represent key levels based on historical data: low, normal, high, ultra. This method smooths out short-term fluctuations and focuses on longer-term trends.
Low Level: Indicates reduced volatility and market interest.
Normal Level: Reflects typical market activity and volatility.
High Level: Indicates increased activity and volatility.
Ultra Level: Identifies extreme levels of activity and volatility.
This illustrates the appearance of Volume and Spread bars when scaled and plotted together:
█ Forecasting Capabilities:
Display: Forecasted volume and spread levels using predictive models.
Calculation: Volume and Spread prediction calculations differ as volume is linear and spread is non-linear.
Volume Forecast (Linear Forecasting): Predicts future volume based on current volume rate and bar time till close.
Spread Forecast (Non-Linear Dynamic Forecasting): Predicts future spread using a dynamic multiplier, less near midpoint (consolidation) and more near low or high (trending), reflecting non-linear expansion.
Moving Averages: In forecasting, moving averages utilize forecasted levels instead of actual levels to ensure the correct level is forecasted (low, normal, high, or ultra).
The following compares forecasted volume with actual resulting volume, highlighting the power of early identifying increased volume through forecasted levels:
█ VSA Patterns:
Criteria and descriptions for each VSA pattern are available as tooltips beside them within the indicator’s settings. These tooltips provide explanations of potential developments based on the volume and spread data.
Signs of Strength (🟢): Patterns indicating strong buying pressure and potential market upturns.
Down Thrust
Selling Climax
No Effort → Bearish Result
Bearish Effort → No Result
Inverse Down Thrust
Failed Selling Climax
Bull Outside Reversal
End of Falling Market (Bag Holder)
Pseudo Down Thrust
No Supply
Signs of Weakness (🔴): Patterns indicating strong selling pressure and potential market downturns.
Up Thrust
Buying Climax
No Effort → Bullish Result
Bullish Effort → No Result
Inverse Up Thrust
Failed Buying Climax
Bear Outside Reversal
End of Rising Market (Bag Seller)
Pseudo Up Thrust
No Demand
Neutral Patterns (🔵): Patterns indicating market indecision and potential for continuation or reversal.
Quiet Doji
Balanced Doji
Strong Doji
Quiet Spinning Top
Balanced Spinning Top
Strong Spinning Top
Quiet High Wave
Balanced High Wave
Strong High Wave
Consolidation
Bar Patterns (🟡): Common candlestick patterns that offer insights into market sentiment. These are required in some VSA patterns and can also be displayed independently.
Bull Pin Bar
Bear Pin Bar
Doji
Spinning Top
High Wave
Consolidation
This demonstrates the acronym and descriptive options for displaying bar patterns, with the ability to hover over text to reveal the descriptive text along with what type of pattern:
█ Alerts:
VSA Pattern Alerts: Notifications for identified VSA patterns at bar close.
Volume and Spread Alerts: Alerts for confirmed and forecasted volume/spread levels (Low, High, Ultra).
Forecasted Volume and Spread Alerts: Alerts for forecasted volume/spread levels (High, Ultra) include a minimum percent time elapsed input to reduce false early signals by ensuring sufficient bar time has passed.
█ Inputs and Settings:
Display Volume and/or Spread: Choose between displaying volume bars, spread bars, or both with different lookback periods.
Indicator Bar Color: Select color schemes for bars (Normal, Detail, Levels).
Indicator Moving Average Color: Select schemes for bars (Fill, Lines, None).
Price Bar Colors: Options to color price bars based on VSA patterns and volume levels.
Legend: Display a table of bar colors and levels for context and clarity of volume/spread bars.
Forecast: Configure forecast display and prediction details for volume and spread.
Average Multipliers: Define multipliers for different levels (Low, High, Ultra) to refine the analysis.
Moving Average: Set volume and spread moving average settings.
VSA: Select the VSA patterns to be calculated and displayed (Strength, Weakness, Neutral).
Bar Patterns: Criteria for bar patterns used in VSA (Doji, Bull Pin Bar, Bear Pin Bar, Spinning Top, Consolidation, High Wave).
Colors: Set exact colors used for indicator bars, indicator moving averages, and price bars.
More Display Options: Specify how VSA pattern text is displayed (Acronym, Descriptive), positioning, and sizes.
Alerts: Configure alerts for VSA patterns, volume, and spread levels, including forecasted levels.
█ Usage:
The Volume Spread Analysis indicator is a helpful tool for leveraging volume spread analysis to make informed trading decisions. It offers comprehensive visual and textual cues on the chart, making it easier to identify market conditions, potential reversals, and continuations. Whether analyzing historical data or forecasting future trends, this indicator provides insights into the underlying factors driving market movements.
Predictive Channel SignalsThis script is a comprehensive tool designed to enhance trading strategies by utilizing predictive channels, multiple moving average types, and dynamic signal generation. The script is meticulously crafted for traders who seek to identify potential support and resistance levels, anticipate market reversals, and optimize entry and exit points through advanced technical analysis featuring with the help of codes provided by LuxAlgo.
Core Features:
Dynamic Predictive Channels: The script calculates predictive channels based on price movements and volatility, represented by adjustable factors for sensitivity and slope. These channels adapt to changing market conditions, providing real-time support and resistance levels.
Versatile Moving Averages: Users can select from a variety of moving average types, including SMA, EMA, SMMA (RMA), HullMA, WMA, VWMA, DEMA, and TEMA. This flexibility allows traders to tailor the analysis to their specific strategy and market view.
Signal Generation: The script generates buying and selling signals based on the interaction between moving averages and predictive channels. Signals are categorized into low, mid, and high tiers, indicating the strength and potential risk/reward of the trade opportunity.
Visual Cues and Customization: With an emphasis on usability, the script offers customizable color schemes for easy interpretation of bullish and bearish zones, moving averages, and trading signals. Traders can quickly identify market trends and reversal points at a glance.
Advanced Calculations: Utilizing calculations such as the Average True Range (ATR) for volatility assessment, the script ensures that signals are both sensitive to market dynamics and robust against false positives.
Ideal for Traders Who:
Prefer a technical analysis approach with a focus on moving averages and price channels.
Desire a customizable tool that can adapt to different trading styles and market conditions.
Seek to enhance their trading strategy with predictive insights and actionable signals.
Circle = Entry Point
End of polyline = Stop Loss
1 Circle = Low Strength
2 Circles = Mid Strength
3 Circles = High Strength
Liquidation Longs/Shorts [UAlgo]🔶Description:
The "Liquidation Longs/Shorts " indicator is designed to identify potential liquidation levels for long and short positions. It calculates the distance of the selected price source (close, high, low, or open) from two moving averages (MA) and plots the resulting values on the chart. When the price is at an extreme distance from the moving averages, it suggests a potential liquidation point for either long or short positions.
🔶Key Features:
Liquidation Calculations: The indicator calculates the distance of the selected price source from two moving averages: a simple moving average (SMA) and an exponential moving average (EMA) with customizable lengths.
Color Customization: Users can customize the colors of the plotted columns representing the distance from the moving averages for long and short liquidation levels.
Liquidation Circles: The indicator marks potential liquidation levels with small circles on the chart, with customizable colors for long and short liquidations.
Orange Circles -> Identifies Potential Short Liquidations
Aqua Circles -> Identifies Potential Long Liquidations
Example:
Adaptive Source Selection: Traders can select the price source (close, high, low, or open) for liquidation calculations, allowing flexibility based on their trading strategies.
Dynamic Threshold Calculation: The indicator dynamically adjusts the liquidation threshold based on the selected moving average lengths, providing adaptability to changing market conditions.
Disclaimer:
Use with Caution: This indicator is provided for educational purposes only and should not be considered as financial advice. Users should exercise caution and perform their own analysis before making trading decisions based on the indicator's signals.
Not Financial Advice: The information provided by this indicator does not constitute financial advice, and the creator (UAlgo) shall not be held responsible for any trading losses incurred as a result of using this indicator.
Backtesting Recommended: Traders are encouraged to backtest the indicator thoroughly on historical data before using it in live trading to assess its performance and suitability for their trading strategies.
Risk Management: Trading involves inherent risks, and users should implement proper risk management strategies, including but not limited to stop-loss orders and position sizing, to mitigate potential losses.
No Guarantees: The accuracy and reliability of the indicator's signals cannot be guaranteed, as they are based on historical price data and past performance may not be indicative of future results.
This indicator serves as a tool to assist traders in identifying potential liquidation levels, but it should be used in conjunction with other technical analysis tools and risk management practices for effective trading decision-making.
@tk · fractal emas█ OVERVIEW
This script is an indicator that plots short, medium and long moving averages for multiple fractals. This script was based on sharks EMAs by rlvs indicator, that plots multiple rays for each fractals into the chart. The main feature of this indicator is the customizability. The calculation itself is simple as moving average.
█ MOTIVATION
The trader can customize all aspects of the plotted data. The text size, extended line length, the moving average type — exponential, simple, etc... — the length of fractal rays, line style, line width and visibility. To keep minimalist, this indicator simplifies the logic of line colors based on the purpose of each moving averages. To prevent overnoise the chart with multiple lines with multiple colors for each fractal timefraes, the trader needs to keep in mind that the all lines with the "short" moving average color for example, will represents the short moving averages lines for all fractals. This logic is applied for medium and long moving averages either.
█ CONCEPT
The trading concept to use this indicator is to make entries on uptrend or downtrend pullbacks when the asset price reaches the short, medium or long moving averages price levels. But this strategy don't works alone. It needs to be aligned together with others indicators like RSI, Chart Patterns, Support and Resistance, and so on... Even more confluences that you have, bigger are your chances to increase the probability for a successful trade. So, don't use this indicator alone. Compose a trading strategy and use it to improve your analysis.
█ CUSTOMIZATION
This indicator allows the trader to customize the following settings:
GENERAL
Text size
Changes the font size of the labels to improve accessibility.
Type: string
Options: `tiny`, `small`, `normal`, `large`.
Default: `small`
SHORT
Type
Select the Short Moving Average calculation type.
Type: string
Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`.
Default: `EMA`
Length
Changes the base length for the Short Moving Average calculation.
Type: int
Default: 12
Source
Changes the base source for the Short Moving Average calculation.
Type: float
Default: close
Color
The base color that will represent the Short Moving Average.
Type: color
Default: color.rgb(255, 235, 59) (yellow)
Fractal Style
The fractal ray line style.
Type: string
Options: `dotted`, `dashed`, `solid`.
Default: `dotted`
Fractal Width
The fractal ray line width.
Type: string
Options: `1px`, `2px`, `3px`, `4px`.
Default: `1px`
Fractal Ray Length
The fractal ray line length.
Type: int
Default: 12
MEDIUM
Type
Select the Medium Moving Average calculation type.
Type: string
Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`.
Default: `EMA`
Length
Changes the base length for the Medium Moving Average calculation.
Type: int
Default: 26
Source
Changes the base source for the Medium Moving Average calculation.
Type: float
Default: close
Color
The base color that will represent the Short Moving Average.
Type: color
Default: color.rgb(0, 230, 118) (lime)
Fractal Style
The fractal ray line style.
Type: string
Options: `dotted`, `dashed`, `solid`.
Default: `dotted`
Fractal Width
The fractal ray line width.
Type: string
Options: `1px`, `2px`, `3px`, `4px`.
Default: `1px`
Fractal Ray Length
The fractal ray line length.
Type: int
Default: 12
LONG
Type
Select the Long Moving Average calculation type.
Type: string
Options: `EMA`, `SMA`, `HMA`, `VWMA`, `WMA`.
Default: `EMA`
Length
Changes the base length for the Long Moving Average calculation.
Type: int
Default: 200
Source
Changes the base source for the Long Moving Average calculation.
Type: float
Default: close
Color
The base color that will represent the Short Moving Average.
Type: color
Default: color.rgb(255, 82, 82) (red)
Fractal Style
The fractal ray line style.
Type: string
Options: `dotted`, `dashed`, `solid`.
Default: `dotted`
Fractal Width
The fractal ray line width.
Type: string
Options: `1px`, `2px`, `3px`, `4px`.
Default: `1px`
Fractal Ray Length
The fractal ray line length.
Type: int
Default: 12
VISIBILITY
Show Fractal Rays · (Short)
Shows short moving average fractal rays.
Type: bool
Default: true
Show Fractal Rays · (Medium)
Shows short moving average fractal rays.
Type: bool
Default: true
Show Fractal Rays · (Long)
Shows short moving average fractal rays.
Type: bool
Default: true
█ FUNCTIONS
The script contains the following functions:
`fn_labelizeTimeFrame`
Labelize timeframe period in minutes and hours.
Parameters:
tf: (string) Timeframe period to be labelized.
Returns: (string) Labelized timeframe string.
`fn_builtInLineStyle`
Converts simple string to built-in line style variable value.
Parameters:
lineStyle: (string) The line style simple string.
Returns: (string) Built-in line style string value.
`fn_builtInLineWidth`
Converts simple pixel string to line width number value.
Parameters:
lineWidth: (string) The line width pixel simple string.
Returns: (string) Built-in line width number value.
`fn_requestFractal`
Requests fractal data based on `period` given an expression.
Parameters:
period: (string) The period timeframe of fractal.
expression: (series float) The expression to retrieve data from fractal.
Returns: (mixed) A result determined by `expression`.
`fn_plotRay`
Plots line after chart bars.
Parameters:
y: (float) Y axis line position.
label: (string) Label to be ploted after line.
color: (color) Line and label color.
length: (int) Line length.
show: (bool) Flag to display the line. (default: `true`)
lineStyle: (string) Line style to be applied. (default: `line.style_dotted`)
lineWidth: (int) Line width. (default: `1`)
Returns: void
`fn_plotEmaRay`
Plots moving average line for a specific period.
Parameters:
period: (simple string) Period of fractal to retrieve
expression: (series float) The expression to retrieve data from fractal.
color: (color) Line and label color.
length: (int) Line length. (default: `12`)
show: (bool) Flag to display the line. (default: `true`)
lineStyle: (string) Line style to be applied. (default: `line.style_dotted`)
lineWidth: (string) Line width. (default: `1px`)
Returns: void
`fn_plotExtendedEmaRay`
Draws extended line for current timeframe moving average.
Parameters:
coordY: (float) Extended line Y axis position.
textValue: (simple string) Extended line label text.
textColor: (color) Extended line text color.
length: (int) Extended length. (default: `5`)
Returns: void
RSI-Volume Oscillator Quick Scalping By Akhilesh PatelTitle: RSI-Volume Oscillator Quick Scalping Indicator
Description:
The "RSI-Volume Oscillator Quick Scalping" is a powerful and versatile custom indicator designed for traders who engage in scalping strategies. This indicator combines the Relative Strength Index (RSI) with a Volume Oscillator to provide valuable insights into momentum and volume dynamics in the market. Traders can also select their preferred moving average types (SMA, EMA, or HMA) to further customize the indicator's behavior.
Key Features:
RSI and Volume Oscillator Fusion: The indicator blends the RSI and a custom Volume Oscillator to offer a comprehensive view of both price momentum and volume trends. This integration provides valuable signals for quick scalping opportunities.
Customizable Moving Averages: Traders can choose from three popular moving average types (SMA, EMA, or HMA) for further customization. This flexibility allows users to align the indicator with their preferred trading strategies.
Clear Visualization: The Combined RSI-Volume Oscillator is plotted as a solid blue line, while the three selected moving averages are represented by orange, purple, and green lines, respectively. The zero line, overbought, and oversold levels for RSI are also indicated for easy reference.
Quick Scalping Signals: The indicator helps traders spot potential buy and sell signals efficiently, making it ideal for quick scalping strategies in rapidly moving markets.
Usage Instructions:
Customize the indicator by selecting your preferred RSI length, Volume Oscillator length, and moving average type (SMA, EMA, or HMA).
Observe the Combined RSI-Volume Oscillator and moving averages for potential entry and exit points.
Look for crossovers between the Combined RSI-Volume Oscillator and the selected moving averages for buy and sell signals.
The overbought (70) and oversold (30) levels for RSI can be used to identify potential reversal points.
Important Note:
Test the indicator on historical data and demo accounts before using it in live trading to ensure it aligns with your trading strategy.
Understand that no indicator guarantees profits, and trading involves risk. Always use proper risk management and discipline when executing trades.
Overall, the "RSI-Volume Oscillator Quick Scalping" indicator is a valuable addition to any scalper's toolkit, providing comprehensive insights into momentum and volume dynamics to enhance trading decisions. Happy scalping!
Munich GuppyWELCOME to the Munich Guppy!
This is a simple moving average indicator that will help you determine the trend of your chart using historical moving averages.
The indicator consists of 3 EMA's and one ALMA moving average. Using these 4 moving averages I have programmed the relationship between the moving averages to color the background of your chart.
If your background is red, this means that the alma moving average has fallen below the EMA's (EMA1 and EMA 2) as well as (EMA 1 and EMA 2) are postured in a down trending/up trending fashion
For example, the 21EMA is greater than the 55EMA, this signals that the chart has been outperforming its intermediate averages. Now if the ALMA is below both the 21ema and 55ema, in this instance, your chart background will become green.
The ALMA has color options '+CoC' and '-Coc', this simply means if the candle closes below the alma, it will turn red, if closure above it will turn green.
EMA 3 which is default set to 200, has no affect on the color of the background.
Now I hope I have thoroughly explained the simplicity of this indicator, if you have any questions leave them below or private message me for any other requests,
Good Trading!
-CheatCode1
MTF MA Ribbon and Bands + BB, Gaussian F. and R. VWAP with StDev█ Multi Timeframe Moving Average Ribbon and Bands + Bollinger Bands, Gaussian Filter and Rolling Volume Weighted Average Price with Standard Deviation Bands
Up to 9 moving averages can be independently applied.
The length , type and timeframe of each moving average are configurable .
The lines, colors and background fill are customizable too.
This script can also display:
Moving Average Bands
Bollinger Bands
Gaussian Filter
Rolling VWAP and Standard Deviation Bands
Types of Moving Averages:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
Smoothed Moving Average (SMMA)
Weighted Moving Average (WMA)
Volume Weighted Moving Average (VWMA)
Least Squares Moving Average (LSMA)
Hull Moving Average (HMA)
Arnaud Legoux Moving Average (ALMA)
█ Moving Average
Moving Averages are price based, lagging (or reactive) indicators that display the average price of a security over a set period of time.
A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance.
█ Bollinger Bands
Bollinger Bands consist of a band of three lines which are plotted in relation to security prices.
The line in the middle is usually a Simple Moving Average (SMA) set to a period of 20 days (the type of trend line and period can be changed by the trader, a 20 day moving average is by far the most popular).
The SMA then serves as a base for the Upper and Lower Bands which are used as a way to measure volatility by observing the relationship between the Bands and price.
█ Gaussian Filter
Gaussian filter can be used for smoothing.
It rejects high frequencies (fast movements) better than an EMA and has lower lag.
A Gaussian filter is one whose transfer response is described by the familiar Gaussian bell-shaped curve.
In the case of low-pass filters, only the upper half of the curve describes the filter.
The use of gaussian filters is a move toward achieving the dual goal of reducing lag and reducing the lag of high-frequency components relative to the lag of lower-frequency components.
█ Rolling VWAP
The typical VWAP is designed to be used on intraday charts, as it resets at the beginning of the day.
Such VWAPs cannot be used on daily, weekly or monthly charts. Instead, this rolling VWAP uses a time period that automatically adjusts to the chart's timeframe.
You can thus use the rolling VWAP on any chart that includes volume information in its data feed.
Because the rolling VWAP uses a moving window, it does not exhibit the jumpiness of VWAP plots that reset.
Made with the help from scripts of: adam24x, VishvaP, loxx and pmk07.
{Gunzo} Heiken Ashi RibbonsHeiken Ashi Ribbons is a trend-following indicator which gives entry and exit points for short-term, medium-term and long term trading (using Exponential Moving Averages and Heiken Ashi formulas).
OVERVIEW :
The Heiken Ashi Ribbons indicator is composed of 3 moving average ribbons (slow, normal and fast) that are computed using the Heiken Ashi formulas. The 3 ribbons give a clear vision of the current trend as they use moving averages that smooth out the price and filter noise from short term fluctuations. In a simplified way, you can consider each ribbon as a moving average with a larger body size.
If the price is above the slow ribbon, we consider the asset as trending up in the short term (trending down otherwise). If the price is above the fast ribbon, we consider the asset as trending up in the long term (trending down otherwise).
CALCULATION :
First of all, to compute a ribbon for this indicator we calculate a moving average (EMA by default) for common sources (OHLC) :
EMA (open), EMA (high), EMA (low), EMA (close)
We then apply the Heiken Ashi formulas to the moving averages calculated previously.
HA (open) = HA (open) previous + HA (close) previous
HA (close) = ( EMA (open) + EMA (high) + EMA (low) + EMA (close) ) / 4
HA (high) = max( EMA (open), EMA (close), EMA (high) )
HA (low) = min ( EMA (open), EMA (close), EMA (low) )
The ribbon displayed (by default) on the chart is the area between HA (open) and HA (close).
SETTINGS :
1st Moving average length : Length of the slow moving average
2nd Moving average length : Length of the normal moving average
3rd Moving average length : Length of the fast moving average
Moving average method : Moving average calculation method (EMA : Exponential Moving Average, SMA : Simple Moving Average, WMA : Weighted Moving Average)
Ribbon type : standard ribbon uses the area between HA (open) and HA (close). Large ribbon uses the area between HA (low) and HA (high)
Display ribbon as candles : change the type of visualization between area and candles
Display short term buy/sell signals : Display short term buy/sell signals (crosses) when the fast moving average and normal moving average are crossing
Display long term buy/sell signals : Display long buy/sell signals (circles) when the fast moving average and slow moving average are crossing
Display ribbon trending up signals : Display ribbon direction change (triangle up) when the trend of the ribbon changes to trending up
Display ribbon trending down signals : Display ribbon direction change (triangle down) when the trend of the ribbon changes to trending down
VISUALIZATIONS :
This indicator has 2 possible visualizations :
Ribbons : the ribbons can be considered as enhanced moving averages for trading purposes. They represent the area between the Heiken Ashi of the moving average of the open and closing price. The color of the moving average line is green when the ribbon is trending up and red when the ribbon is trending down.
Signals : Various signals can be displayed at the bottom of the chart (Buy/Sell signals, Ribbon direction changes signals).
USAGE :
This indicator can be used in many strategies, just like when you are using multiple moving averages. You should test these strategies and use the one that best fits your trading style.
Strategy based on crossovers :
When the fast ribbon crosses above the normal ribbon, it is a short term buy signal (it is recommended to wait for a confirmation)
When the fast ribbon crosses under the normal ribbon, it is a short term sell signal (it is recommended to wait for a confirmation)
When the fast ribbon crosses above the slow ribbon, it is a long term buy signal
When the fast ribbon crosses over the slow ribbon, it is a long term buy signal
Strategy based on price position :
When the prices closes above the ribbon, it is a buy signal (long term if above slow ribbon, short term if above fast ribbon)
When the prices closes below the ribbon, it is a sell signal (long term if below slow ribbon, short term if below fast ribbon)
Strategy based on price bouncing :
When the price decreases and reaches the green long term ribbon, the price candles may not be able to cross the ribbon. If the price increases, we consider that move as a bounce on the ribbon, which is a buy signal
When the price increases and reaches a red long term ribbon, the price candles may not be able to cross the ribbon. If the price decreases, we consider that move as a bounce on the ribbon, which is a sell signal
Strategy based on ribbon direction :
When the direction of the ribbon changes, the trend of the asset is changing which may lead to a crossover to the next candles if the trend is continuing in that direction (it is recommended to validate the entry points with a second indicator as this strategy may have some false signals).
Red and Green Ignored Bar by Oliver VelezOn this occasion I present a script that detects Ignored Red Candles and Ignored Green Candles, basically it is a Price Action event that indicates a possible continuation of the current trend and gives the opportunity to climb it with a Very tight risk, before delving into detail I would like to leave this note:
Note: the detection of this event does not guarantee that the signal will be good, the trader must have the ability to determine its quality based on aspects such as trend, maturity, support / resistance levels, expansion / contraction of the market, risk / benefit, etc, if you do not have knowledge about this you should not use this indicator since using it without a robust trading plan and experience could cause you to partially or totally lose your money, if this is your case you should train before If you try to extract money from the market, this script was created to be another tool in your trading plan in order to configure the rules at your discretion, execute them consistently and have AUTOMATIC ALERTS when the event occurs, which is where I find more value because you can have many instruments waiting for the event to be generated, in the time frame you want and without having to observe the mer When the alert is generated, the Trader should evaluate the quality of the alert and define whether or not to execute it (higher timeframes, they can give you more time to execute the operation correctly).
Let's continue….
This event was created by Oliver Velez recognized trader / mentor of price action, the event has a very interesting particularity since it allows to take a position with a very limited risk in trend movements, this achieves favorable operations of good ratio and small losses when taking An adjusted risk, if the trade works, a good ratio is quickly achieved and we agree with a key point in the “Keep small losses and big profits” trading, this makes it easier to have a positive mathematical hope when your level of Success is not very high, so leave you in the field of profitability.
THE EVENT:
The event has a bullish configuration (Ignored Red Candle) and a bearish configuration (Ignored Green Candle), below I detail the “Hard” rules (later I explain why “Hard”):
1- Last 3 bars have to be GREEN-RED-GREEN (possible bullish configuration) or RED-GREEN-RED (possible bearish configuration), the first bar is called Control Bar, the second is called Ignored Bar and the third Signal Bar as shown in the following image:
2- Be in a trend determined by simple moving averages (Slow of 20 periods and Fast of 8 periods), as a general rule you can take the direction of MA20 but the Trader has to determine if there is a trend movement or not.
3- Control bar of good range, little tail and with a body greater than 55%.
4- Ignored bar preferably narrow range, little tail and that is located in the upper 1/3 of the control bar.
5- Signal bar cannot override the minimum of the ignored bar.
6- Activation / Confirmation of event by means of signal bar in overcoming the body of the ignored bar.
Some examples of ignored bars (with “Hard” and “Flexible” rules):
Features and configuration of the indicator:
To access the indicator settings, press the wheel next to the indicator name VVI_VRI "Configuration options".
- Operation mode (Filtering Type):
• Filtering Complete: all filters activated according to the configuration below.
• Without Filtering: all filters deactivated, all VRI / VVI are displayed without any selection criteria.
• Trend Filter only: shows only VRI / VVI that are in accordance with what is set in “Trend Settings”
- Configuration Moving Averages:
• See Slow Media: slow moving average display with direction detection and color change.
• See Fast Media: display of fast moving average with direction detection and color change.
• Type: possibility to choose the type of media: DEMA, EMA, HullMA, SMA, SSMA, SSMA, TEMA, TMA, VWMA, WMA, ZEMA)
• Period: number of previous bars.
• Source: possibility to choose the type of source, open, close, high, low, hl2 hlc3, ohlc4.
• Reaction: this configuration affects the color change before a change of direction, 1 being an immediate reaction and higher values, a more delayed reaction obtaining les false "changes of direction", a value of 3 filters the direction quite well.
- Trend Configuration
• Uptrend Condition P / VRI: possibility to select any of these conditions:
o Bullish MA direction
o Quick bullish MA direction
o Slow and fast bullish MA direction
o Price higher than slow MA
o Price higher than fast MA
o Price higher than slow and fast MA
o Price higher than slow MA and bullish direction
o Price higher than fast MA and bullish direction
o Price higher than slow, fast MA and bullish direction
o No condition
• Condition P / VVI bear trend: possibility of selecting any of these conditions:
o Slow bearish MA direction
o Fast bearish MA direction
o Slow and fast bearish MA direction
o Price less than slow MA
o Price less than fast MA
o Price less than slow and fast MA
o Price lower than slow MA and bearish direction
o Price less than fast MA and bearish direction
o Price less than slow, fast MA and bearish direction
o No condition
- Control bar configuration
• Minimum body percentage%: possibility to select what body percentage the bar must have.
• Paint control bar: when selected, paint the control bar.
• See control bar label: when selected, a label with the legend BC is plotted.
- Configuration bar ignored
• Above X% of the control bar: possibility to select above what percentage of the control bar the ignored bar must be located.
• Paint ignored bar: when selected, paint the ignored bar.
- Signal bar configuration
• You cannot override the minimum of the ignored bar: when selected, the condition is added that the signal bar cannot override the minimum of the ignored bar.
• Paint signal bar: when selected, paint the signal bar.
• See arrow: when selected it shows the direction arrow of the possible movement.
• See bear and arrow: when selected it shows bear and arrow label
• See bull and arrow: when selected it shows bull and arrow label
The following image shows the ignored bar and painted signal:
- Take profit / loss
The profit / loss taking varies depending on the trader and its risk / monetary plan, the proposal is a recommendation based on the nature of the event that is to have a small risk unit (stop below the minimum of the ignored bar), look for objectives in ratios greater than 2: 1 and eliminate the risk in 1: 1 by taking the stop to BE, all parameters are configurable and are the following:
• See recommended stop loss and take profit: trace the levels of Stop, BE, TP1 and TP2, as well as their prices to know them quickly based on the assumed risk
• To: select which event you want to draw the SL and TP (VRI, VVI)
• Extend stop loss line x bars: allows extending the stop line by x number of bars
• Extend take profit line x bars: allows extending the stop line by x number of bars
• Ratio to move to break even: allows you to select the minimum ratio to move stop to break even (default 1: 1)
• Take profit 1 ratio: allows you to select the ratio for take profit 1 (default 2: 1)
• Take profit 2 ratio: allows you to select the ratio for take profit 2 (default 4: 1)
- Alerts
• It is possible to configure the following alerts:
-VRI DETECTED
-VVI DETECTED
-VRI / VVI DETECTED
Final Notes:
- The term hard rules refers to the fact that an event is sought with the rules detailed above to obtain a high quality event but this brings 2 situations to consider, less
number of events and events that are generated in a strong impulse may be leaked, a very large control bar followed by an ignored narrow body away from moving averages, despite having a good chance of continuing, taking a stop very tight in a strong impulse you can touch it by the simple fact of the own volatility at that time.
- The setting of the parameters “Minimum body percentage% (control bar)”, “Above x% of the control bar (bar ignored)” and “Cannot override the minimum of the ignored bar” can bring large Benefits in terms of number of events and that can also be of high quality, feel free to find the best configuration for your instrument to operate.
- It is recommended to look for trending events, near moving averages and at an early stage of it.
- The display of several nearby VRIs or VVIs in an advanced trend may indicate a depletion of it.
- The alerts can be worked in 2 ways: at the closing of the candle (confirms event but the risk unit may be larger or smaller) or immediately the body of the ignored bar is exceeded, in case you are operating from the mobile and miss many events because of the short time I recommend that you operate in a superior time frame to have more time.
- The indicator is configured with “flexible” rules to have more events, but without any important criteria, each trader has to look for the best configuration that suits his instrument.
- It is recommended to partially close the operation based on the ratio and always keep a part of the position to apply manual trailing stop and try to maximize profits.
The code is open feel free to use and modify it, a mention in credits is appreciated.
If you liked this SCRIPT THUMB UP!
Greetings to all, I wish you much green!
Trend is your friendThis indicator evaluates the trend based on crosses of two McGinley moving averages. It paints candles accordingly (it does not repaint), so you can see what the indicator is saying more clearly and stay in your trade until you see a period of consolidation or a reversal. You can control how far away those moving averages need to be for you to consider it a trend. If this distance is not met candles color is not changed and it shows you that the market is in a period of consolidation. I also added visualization of RSI, so you can have an easier time finding appropriate profit targets. For stop loss I would recommend placing it a couple points above or below the previous high / low that is located above / below you final target for entry. You can also use a certain percentage that works for you. I tried adding a stop loss based on ATR, but I did not like the results. Using market structure is a better choice in my opinion.
Here is a basic trading strategy for the default settings:
Wait for the indicator to start printing a series of green or red candles. After that you can enter a long or a short around moving averages. Another valid place to entry is the specific RSI zone. If we are in an uptrend buying when RSI is oversold can be beneficial as you expect market to recover. I do not recommend changing RSI from 14. Vice versa for the downtrend. It gives you an edge as you know at what price RSI will be oversold and allows you to place trades in advance. Pretty neat! You need to realize that no indicator or strategy can give you an exact entry. There will always be some margin of error. What I wanted to say is that if there is a strong trend up and you buy around your key moving averages and when RSI is oversold you entered in good places and there is a pretty good chance you will make money.
Time frame settings:
If you want to use tighter stop losses I would recommend sticking to 15m. Do not go lower. It is not worth the stress. 1h and 4h seems to be very good as well, but expect your stop losses to be wider. What I personally tend to do is display 15m, 30m and 1h and compare it. Think of it as a short, mid and long term. That way you can see things little bit better.
Examples:
1H chart BTC
4h chart EUR / USD
1D chart NASDAQ
15m chart BTC (Daytrading)
That last chart shows that even if you were longing while the trend was about to change you still had a good chance to close it with a little profit and switch to short easily. The default settings is what has worked the best for me. Feel free to change them as you see fit and do not forget to let me know if you find something that works better :)
Notes:
Either disable wick display or change it to a neutral color like gray for both green and red candles. Unfortunately pine script does not allow wick painting, so if you have red / green wicks it will look terrible. If RSI visualization makes your candles look too small you can go to settings and disable the display of individual RSI levels. You will still be able to see the zones, but the scale won't be affected.
SuperSmoother MA OscillatorSuperSmoother MA Oscillator - Ehlers-Inspired Lag-Minimized Signal Framework
Overview
The SuperSmoother MA Oscillator is a crossover and momentum detection framework built on the pioneering work of John F. Ehlers, who introduced digital signal processing (DSP) concepts into technical analysis. Traditional moving averages such as SMA and EMA are prone to two persistent flaws: excessive lag, which delays recognition of trend shifts, and high-frequency noise, which produces unreliable whipsaw signals. Ehlers’ SuperSmoother filter was designed to specifically address these flaws by creating a low-pass filter with minimal lag and superior noise suppression, inspired by engineering methods used in communications and radar systems.
This oscillator extends Ehlers’ foundation by combining the SuperSmoother filter with multi-length moving average oscillation, ATR-based normalization, and dynamic color coding. The result is a tool that helps traders identify market momentum, detect reliable crossovers earlier than conventional methods, and contextualize volatility and phase shifts without being distracted by transient price noise.
Unlike conventional oscillators, which either oversimplify price structure or overload the chart with reactive signals, the SuperSmoother MA Oscillator is designed to balance responsiveness and stability. By preprocessing price data with the SuperSmoother filter, traders gain a signal framework that is clean, robust, and adaptable across assets and timeframes.
Theoretical Foundation
Traditional MA oscillators such as MACD or dual-EMA systems react to raw or lightly smoothed price inputs. While effective in some conditions, these signals are often distorted by high-frequency oscillations inherent in market data, leading to false crossovers and poor timing. The SuperSmoother approach modifies this dynamic: by attenuating unwanted frequencies, it preserves structural price movements while eliminating meaningless noise.
This is particularly useful for traders who need to distinguish between genuine market cycles and random short-term price flickers. In practical terms, the oscillator helps identify:
Early trend continuations (when fast averages break cleanly above/below slower averages).
Preemptive breakout setups (when compressed oscillator ranges expand).
Exhaustion phases (when oscillator swings flatten despite continued price movement).
Its multi-purpose design allows traders to apply it flexibly across scalping, day trading, swing setups, and longer-term trend positioning, without needing separate tools for each.
The oscillator’s visual system - fast/slow lines, dynamic coloration, and zero-line crossovers - is structured to provide trend clarity without hiding nuance. Strong green/red momentum confirms directional conviction, while neutral gray phases emphasize uncertainty or low conviction. This ensures traders can quickly gauge the market state without losing access to subtle structural signals.
How It Works
The SuperSmoother MA Oscillator builds signals through a layered process:
SuperSmoother Filtering (Ehlers’ Method)
At its core lies Ehlers’ two-pole recursive filter, mathematically engineered to suppress high-frequency components while introducing minimal lag. Compared to traditional EMA smoothing, the SuperSmoother achieves better spectral separation - it allows meaningful cyclical market structures to pass through, while eliminating erratic spikes and aliasing. This makes it a superior preprocessing stage for oscillator inputs.
Fast and Slow Line Construction
Within the oscillator framework, the filtered price series is used to build two internal moving averages: a fast line (short-term momentum) and a slow line (longer-term directional bias). These are not plotted directly on the chart - instead, their relationship is transformed into the oscillator values you see.
The interaction between these two internal averages - crossovers, separation, and compression - forms the backbone of trend detection:
Uptrend Signal : Fast MA rises above the slow MA with expanding distance, generating a positive oscillator swing.
Downtrend Signal : Fast MA falls below the slow MA with widening divergence, producing a negative oscillator swing.
Neutral/Transition : Lines compress, flattening the oscillator near zero and often preceding volatility expansion.
This design ensures traders receive the information content of dual-MA crossovers while keeping the chart visually clean and focused on the oscillator’s dynamics.
ATR-Based Normalization
Markets vary in volatility. To ensure the oscillator behaves consistently across assets, ATR (Average True Range) normalization scales outputs relative to prevailing volatility conditions. This prevents the oscillator from appearing overly sensitive in calm markets or too flat during high-volatility regimes.
Dynamic Color Coding
Color transitions reflect underlying market states:
Strong Green : Bullish alignment, momentum expanding.
Strong Red : Bearish alignment, momentum expanding.
These visual cues allow traders to quickly gauge trend direction and strength at a glance, with expanding colors indicating increasing conviction in the underlying momentum.
Interpretation
The oscillator offers a multi-dimensional view of price dynamics:
Trend Analysis : Fast/slow line alignment and zero-line interactions reveal trend direction and strength. Expansions indicate momentum building; contractions flag weakening conditions or potential reversals.
Momentum & Volatility : Rapid divergence between lines reflects increasing momentum. Compression highlights periods of reduced volatility and possible upcoming expansion.
Cycle Awareness : Because of Ehlers’ DSP foundation, the oscillator captures market cycles more cleanly than conventional MA systems, allowing traders to anticipate turning points before raw price action confirms them.
Divergence Detection : When oscillator momentum fades while price continues in the same direction, it signals exhaustion - a cue to tighten stops or anticipate reversals.
By focusing on filtered, volatility-adjusted signals, traders avoid overreacting to noise while gaining early access to structural changes in momentum.
Strategy Integration
The SuperSmoother MA Oscillator adapts across multiple trading approaches:
Trend Following
Enter when fast/slow alignment is strong and expanding:
A fast line crossing above the slow line with expanding green signals confirms bullish continuation.
Use ATR-normalized expansion to filter entries in line with prevailing volatility.
Breakout Trading
Periods of compression often precede breakouts:
A breakout occurs when fast lines diverge decisively from slow lines with renewed green/red strength.
Exhaustion and Reversals
Oscillator divergence signals weakening trends:
Flattening momentum while price continues trending may indicate overextension.
Traders can exit or hedge positions in anticipation of corrective phases.
Multi-Timeframe Confluence
Apply the oscillator on higher timeframes to confirm the directional bias.
Use lower timeframes for refined entries during compression → expansion transitions.
Technical Implementation Details
SuperSmoother Algorithm (Ehlers) : Recursive two-pole filter minimizes lag while removing high-frequency noise.
Oscillator Framework : Fast/slow MAs derived from filtered prices.
ATR Normalization : Ensures consistent amplitude across market regimes.
Dynamic Color Engine : Aligns visual cues with structural states (expansion and contraction).
Multi-Factor Analysis : Combines crossover logic, volatility context, and cycle detection for robust outputs.
This layered approach ensures the oscillator is highly responsive without overloading charts with noise.
Optimal Application Parameters
Asset-Specific Guidance:
Forex : Normalize with moderate ATR scaling; focus on slow-line confirmation.
Equities : Balance responsiveness with smoothing; useful for capturing sector rotations.
Cryptocurrency : Higher ATR multipliers recommended due to volatility.
Futures/Indices : Lower frequency settings highlight structural trends.
Timeframe Optimization:
Scalping (1-5min) : Higher sensitivity, prioritize fast-line signals.
Intraday (15m-1h) : Balance between fast/slow expansions.
Swing (4h-Daily) : Focus on slow-line momentum with fast-line timing.
Position (Daily-Weekly) : Slow lines dominate; fast lines highlight cycle shifts.
Performance Characteristics
High Effectiveness:
Trending environments with moderate-to-high volatility.
Assets with steady liquidity and clear cyclical structures.
Reduced Effectiveness:
Flat/choppy conditions with little directional bias.
Ultra-short timeframes (<1m), where noise dominates.
Integration Guidelines
Confluence : Combine with liquidity zones, order blocks, and volume-based indicators for confirmation.
Risk Management : Place stops beyond slow-line thresholds or ATR-defined zones.
Dynamic Trade Management : Use expansions/contractions to scale position sizes or tighten stops.
Multi-Timeframe Confirmation : Filter lower-timeframe entries with higher-timeframe momentum states.
Disclaimer
The SuperSmoother MA Oscillator is an advanced trend and momentum analysis tool, not a guaranteed profit system. Its effectiveness depends on proper parameter settings per asset and disciplined risk management. Traders should use it as part of a broader technical framework and not in isolation.
THF Crossover and Trend Signals Golden & Death Cross with VolumeScript Overview:
This Pine Script is designed to assist traders in identifying key buy/sell signals and major trend changes on the chart using Exponential Moving Averages (EMA) and Simple Moving Averages (SMA), as well as visualizing Golden Cross and Death Cross events. The script also includes a volume indicator to highlight the volume trading activity in relation to the price movements.
Key Features:
1. Moving Averages:
EMA 21: Exponential Moving Average over a 21-period, shown in green.
EMA 50: Exponential Moving Average over a 50-period, shown in yellow.
SMA 50: Simple Moving Average over a 50-period, shown in red.
SMA 200: Simple Moving Average over a 200-period, shown in blue.
2. Signals:
Buy Signal: Generated when EMA 21 crosses above SMA 50, indicating a potential upward trend. Displayed with a green label below the price bar.
Sell Signal: Generated when EMA 21 crosses below SMA 50, indicating a potential downward trend. Displayed with a red label above the price bar.
3. Golden Cross (Bullish Trend):
A Golden Cross occurs when EMA 50 crosses above SMA 200, which often signals the start of a long-term upward trend. The signal is displayed with a yellow label below the price bar.
4. Death Cross (Bearish Trend):
A Death Cross occurs when EMA 50 crosses below SMA 200, which often signals the start of a long-term downward trend. The signal is displayed with a blue label above the price bar.
5. Volume Indicator:
The volume is plotted as colored columns. Green indicates higher volume than the 20-period moving average, and red indicates lower volume.
A Volume Moving Average (SMA 20) is also plotted to compare volume changes over time.
How the Script Works:
1. The EMA and SMA lines are plotted on the chart, providing a visual representation of the short- and long-term trends.
2. Buy/Sell signals are triggered based on the crossover between EMA 21 and SMA 50, helping to identify potential entry and exit points.
3. The Golden Cross and Death Cross indicators highlight major trend reversals based on the crossover between EMA 50 and SMA 200, providing clear visual cues for long-term trend changes.
4. Volume is displayed alongside price movements, offering insight into the strength or weakness of a trend.
Key Customizations:
Moving Average Periods: Users can modify the lengths of the EMAs and SMAs for customized analysis.
Volume Moving Average Period: The script allows for adjustment of the volume moving average period to suit different market conditions.
Signal Visibility: The size and color of the buy, sell, Golden Cross, and Death Cross signals can be easily customized to make them more prominent on the chart.
Conclusion:
This script is ideal for traders looking to combine price action with volume analysis, using key technical indicators such as EMA, SMA, Golden Cross, and Death Cross to make informed decisions in trending markets.
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This explanation covers all aspects of the script and provides a clear understanding of its functionality, which is helpful for sharing the script or using it as an educational resource.
Uptrick: Fusion Trend Reversion SystemOverview
The Uptrick: Fusion Trend Reversion System is a multi-layered indicator designed to identify potential price reversals during intraday movement while keeping traders informed of the dominant short-term trend. It blends a composite fair value model with deviation logic and a refined momentum filter using the Relative Strength Index (RSI). This tool was created with scalpers and short-term traders in mind and is especially effective on lower timeframes such as 1-minute, 5-minute, and 15-minute charts where price dislocations and quick momentum shifts are frequent.
Introduction
This indicator is built around the fusion of two classic concepts in technical trading: identifying trend direction and spotting potential reversion points. These are often handled separately, but this system merges them into one process. It starts by computing a fair value price using five moving averages, each with its own mathematical structure and strengths. These include the exponential moving average (EMA), which gives more weight to recent data; the simple moving average (SMA), which gives equal weight to all periods; the weighted moving average (WMA), which progressively increases weight with recency; the Arnaud Legoux moving average (ALMA), known for smoothing without lag; and the volume-weighted average price (VWAP), which factors in volume at each price level.
All five are averaged into a single value — the raw fusion line. This fusion acts as a dynamically balanced centerline that adapts to price conditions with both smoothing and responsiveness. Two additional exponential moving averages are applied to the raw fusion line. One is slower, giving a stable trend reference, and the other is faster, used to define momentum and cloud behavior. These two lines — the fusion slow and fusion fast — form the backbone of trend and signal logic.
Purpose
This system is meant for traders who want to trade reversals without losing sight of the underlying directional bias. Many reversal indicators fail because they act too early or signal too frequently in choppy markets. This script filters out noise through two conditions: price deviation and RSI confirmation. Reversion trades are considered only when the price moves a significant distance from fair value and RSI suggests a legitimate shift in momentum. That filtering process gives the trader a cleaner, higher-quality signal and reduces false entries.
The indicator also visually supports the trader through colored bars, up/down labels, and a filled cloud between the fast and slow fusion lines. These features make the market context immediately visible: whether the trend is up or down, whether a reversal just occurred, and whether price is currently in a high-risk reversion zone.
Originality and Uniqueness
What makes this script different from most reversal systems is the way it combines layers of logic — not just to detect signals, but to qualify and structure them. Rather than relying on a single MA or a raw RSI level, it uses a five-MA fusion to create a baseline fair value that incorporates speed, stability, and volume-awareness.
On top of that, the system introduces a dual-smoothing mechanism. It doesn’t just smooth price once — it creates two layers: one to follow the general trend and another to track faster deviations. This structure lets the script distinguish between continuation moves and possible turning points more effectively than a single-line or single-metric system.
It also uses RSI in a more refined way. Instead of just checking if RSI is overbought or oversold, the script smooths RSI and requires directional confirmation. Beyond that, it includes signal memory. Once a signal is generated, a new one will not appear unless the RSI becomes even more extreme and curls back again. This memory-based gating reduces signal clutter and prevents repetition, a rare feature in similar scripts.
Why these indicators were merged
Each moving average in the fusion serves a specific role. EMA reacts quickly to recent price changes and is often favored in fast-trading strategies. SMA acts as a long-term filter and smooths erratic behavior. WMA blends responsiveness with smoothing in a more balanced way. ALMA focuses on minimizing lag without losing detail, which is helpful in fast markets. VWAP anchors price to real trade volume, giving a sense of where actual positioning is happening.
By combining all five, the script creates a fair value model that doesn’t lean too heavily on one logic type. This fusion is then smoothed into two separate EMAs: one slower (trend layer), one faster (signal layer). The difference between these forms the basis of the trend cloud, which can be toggled on or off visually.
RSI is then used to confirm whether price is reversing with enough force to warrant a trade. The RSI is calculated over a 14-period window and smoothed with a 7-period EMA. The reason for smoothing RSI is to cut down on noise and avoid reacting to short, insignificant spikes. A signal is only considered if price is stretched away from the trend line and the smoothed RSI is in a reversal state — below 30 and rising for bullish setups, above 70 and falling for bearish ones.
Calculations
The script follows this structure:
Calculate EMA, SMA, WMA, ALMA, and VWAP using the same base length
Average the five values to form the raw fusion line
Smooth the raw fusion line with an EMA using sens1 to create the fusion slow line
Smooth the raw fusion line with another EMA using sens2 to create the fusion fast line
If fusion slow is rising and price is above it, trend is bullish
If fusion slow is falling and price is below it, trend is bearish
Calculate RSI over 14 periods
Smooth RSI using a 7-period EMA
Determine deviation as the absolute difference between current price and fusion slow
A raw signal is flagged if deviation exceeds the threshold
A raw signal is flagged if RSI EMA is under 30 and rising (bullish setup)
A raw signal is flagged if RSI EMA is over 70 and falling (bearish setup)
A final signal is confirmed for a bullish setup if RSI EMA is lower than the last bullish signal’s RSI
A final signal is confirmed for a bearish setup if RSI EMA is higher than the last bearish signal’s RSI
Reset the bullish RSI memory if RSI EMA rises above 30
Reset the bearish RSI memory if RSI EMA falls below 70
Store last signal direction and use it for optional bar coloring
Draw the trend cloud between fusion fast and fusion slow using fill()
Show signal labels only if showSignals is enabled
Bar and candle colors reflect either trend slope or last signal direction depending on mode selected
How it works
Once the script is loaded, it builds a fusion line by averaging five different types of moving averages. That line is smoothed twice into a fast and slow version. These two fusion lines form the structure for identifying trend direction and signal areas.
Trend bias is defined by the slope of the slow line. If the slow line is rising and price is above it, the market is considered bullish. If the slow line is falling and price is below it, it’s considered bearish.
Meanwhile, the script monitors how far price has moved from that slow line. If price is stretched beyond a certain distance (set by the threshold), and RSI confirms that momentum is reversing, a raw reversion signal is created. But the script only allows that signal to show if RSI has moved further into oversold or overbought territory than it did at the last signal. This blocks repetitive, weak entries. The memory is cleared only if RSI exits the zone — above 30 for bullish, below 70 for bearish.
Once a signal is accepted, a label is drawn. If the signal toggle is off, no label will be shown regardless of conditions. Bar colors are controlled separately — you can color them based on trend slope or last signal, depending on your selected mode.
Inputs
You can adjust the following settings:
MA Length: Sets the period for all moving averages used in the fusion.
Show Reversion Signals: Turns on the plotting of “Up” and “Down” labels when a reversal is confirmed.
Bar Coloring: Enables or disables colored bars based on trend or signal direction.
Show Trend Cloud: Fills the space between the fusion fast and slow lines to reflect trend bias.
Bar Color Mode: Lets you choose whether bars follow trend logic or last signal direction.
Sens 1: Smoothing speed for the slow fusion line — higher values = slower trend.
Sens 2: Smoothing speed for the fast line — lower values = faster signal response.
Deviation Threshold: Minimum distance price must move from fair value to trigger a signal check.
Features
This indicator offers:
A composite fair value model using five moving average types.
Dual smoothing system with user-defined sensitivity.
Slope-based trend definition tied to price position.
Deviation-triggered signal logic filtered by RSI reversal.
RSI memory system that blocks repetitive signals and resets only when RSI exits overbought or oversold zones.
Real-time tracking of the last signal’s direction for optional bar coloring.
Up/Down labels at signal points, visible only when enabled.
Optional trend cloud between fusion layers, visualizing current market bias.
Full user control over smoothing, threshold, color modes, and visibility.
Conclusion
The Fusion Trend-Reversion System is a tool for short-term traders looking to fade price extremes without ignoring trend bias. It calculates fair value using five diverse moving averages, smooths this into two dynamic layers, and applies strict reversal logic based on RSI deviation and momentum strength. Signals are triggered only when price is stretched and momentum confirms it with increasingly strong behavior. This combination makes the tool suitable for scalping, intraday entries, and fast market environments where precision matters.
Disclaimer
This indicator is for informational and educational purposes only. It does not constitute financial advice. All trading involves risk, and no tool can predict market behavior with certainty. Use proper risk management and do your own research before making trading decisions.
RSI-GringoRSI-Gringo — Stochastic RSI with Advanced Smoothing Averages
Overview:
RSI-Gringo is an advanced technical indicator that combines the concept of the Stochastic RSI with multiple smoothing options using various moving averages. It is designed for traders seeking greater precision in momentum analysis, while offering the flexibility to select the type of moving average that best suits their trading style.
Disclaimer: This script is not investment advice. Its use is entirely at your own risk. My responsibility is to provide a fully functional indicator, but it is not my role to guide how to trade, adjust, or use this tool in any specific strategy.
The JMA (Jurik Moving Average) version used in this script is a custom implementation based on publicly shared code by TradingView users, and it is not the original licensed version from Jurik Research.
What This Indicator Does
RSI-Gringo applies the Stochastic Oscillator logic to the RSI itself (rather than price), helping to identify overbought and oversold conditions within the RSI. This often leads to more responsive and accurate momentum signals.
This indicator displays:
%K: the main Stochastic RSI line
%D: smoothed signal line of %K
Upper/Lower horizontal reference lines at 80 and 20
Features and Settings
Available smoothing methods (selectable from dropdown):
SMA — Simple Moving Average
SMMA — Smoothed Moving Average (equivalent to RMA)
EMA — Exponential Moving Average
WMA — Weighted Moving Average
HMA — Hull Moving Average (manually implemented)
JMA — Jurik Moving Average (custom approximation)
KAMA — Kaufman Adaptive Moving Average
T3 — Triple Smoothed Moving Average with adjustable hot factor
How to Adjust Advanced Averages
T3 – Triple Smoothed MA
Parameter: T3 Hot Factor
Valid range: 0.1 to 2.0
Tuning:
Lower values (e.g., 0.1) make it faster but noisier
Higher values (e.g., 2.0) make it smoother but slower
Balanced range: 0.7 to 1.0 (recommended)
JMA – Jurik Moving Average (Custom)
Parameters:
Phase: adjusts responsiveness and smoothness (-100 to 100)
Power: controls smoothing intensity (default: 1)
Tuning:
Phase = 0: neutral behavior
Phase > 0: more reactive
Phase < 0: smoother, more delayed
Power = 1: recommended default for most uses
Note: The JMA used here is not the proprietary version by Jurik Research, but an educational approximation available in the public domain on TradingView.
How to Use
Crossover Signals
Buy signal: %K crosses above %D from below the 20 line
Sell signal: %K crosses below %D from above the 80 line
Momentum Strength
%K and %D above 80: strong bullish momentum
%K and %D below 20: strong bearish momentum
With Trend Filters
Combine this indicator with trend-following tools (like moving averages on price)
Fast smoothing types (like EMA or HMA) are better for scalping and day trading
Slower types (like T3 or KAMA) are better for swing and long-term trading
Final Tips
Tweak RSI and smoothing periods depending on the time frame you're trading.
Try different combinations of moving averages to find what works best for your strategy.
This indicator is intended as a supporting tool for technical analysis — not a standalone decision-making system.
Functionally Weighted Moving AverageOVERVIEW
An anchor-able moving average that weights historical prices with mathematical curves (shaping functions) such as Smoothstep , Ease In / Out , or even a Cubic Bézier . This level of configurability lends itself to more versatile price modeling, over conventional moving averages.
SESSION ANCHORS
Aside from VWAP, conventional moving averages do not allow you to use the first bar of each session as an anchor. This can make averages less useful near the open when price is sufficiently different from yesterdays close. For example, in this screenshot the EMA (blue) lags behind the sessionally anchored FWMA (yellow) at the open, making it slower to indicate a pivot higher.
An incrementing length is what makes a moving average anchor-able. VWAP is designed to do this, indefinitely growing until a new anchor resets the average (which is why it doesn't have a length parameter). But conventional MA's are designed to have a set length (they do not increment). Combining these features, the FWMA treats the length like a maximum rather than a set length, incrementing up to it from the anchor (when enabled).
Quick aside: If you code and want to anchor a conventional MA, the length() function in my UtilityLibrary will help you do this.
Incrementing an averages length introduces near-anchor volatility. For this reason, the FWMA also includes an option to saturate the anchor with the source , making values near the anchor more resistant to change. The following screenshot illustrates how saturation affects the average near the anchor when disabled (aqua) and enabled (fuchsia).
AVERAGING MATH
While there's nothing special about the math, it's worth documenting exactly how the average is affected by the anchor.
Average = Dot Product / Sum of Weights
Dot Product
This is the sum of element-wise multiplication between the Price and Weight arrays.
Dot Product = Price1 × Weight1 + Price2 × Weight2 + Price3 × Weight3 ...
When the Price and Weight arrays are equally sized (aka. the length is no longer incrementing from the anchor), there's a 1-1 mapping between Price and Weight indices. Anchoring, however, purges historical data from the Price array, making it temporarily smaller. When this happens, a dot product is synthesized by linearly interpolating for proportional indices (rather than a 1-1 mapping) to maintain the intended shape of weights.
Synthetic Dot Product = FirstPrice × FirstWeight + ... MidPrice × MidWeight ... + LastPrice × LastWeight
Sum of Weights
Exactly what it sounds like, the sum of weights used by the dot product operation. The sum of used weights may be less than the sum of all weights when the dot product is synthesized.
Sum of Weights = Weight1 + Weight2 + Weight3 ...
CALCULATING WEIGHTS
Shaping functions are mathematical curves used for interpolation. They are what give the Functionally Weighted Moving Average its name, and define how each historical price in the look back period is weighted.
The included shaping functions are:
Linear (conventional WMA)
Smoothstep (S curve)
Ease In Out (adjustable S curve)
Ease In (first half of Ease In Out)
Ease Out (second half of Ease In Out)
Ease Out In (eases out and then back in)
Cubic Bézier (aka. any curve you want)
In the following screenshot, the only difference between the three FWMA's is the shaping function (Ease In, Ease In Out, and Ease Out) illustrating how different curves can influence the responsiveness of an average.
And here is the same example, but with anchor saturation disabled .
ADJUSTING WEIGHTS
Each function outputs a range of values between 0 and 1. While you can't expand or shrink the range, you can nudge it higher or lower using the Scalar . For example, setting the scalar to -0.2 remaps to , and +0.2 remaps to . The following screenshot illustrates how -0.2 (lightest blue) and +0.2 (darkest blue) affect the average.
Easing functions can be further adjusted with the Degree (how much the shaping function curves). There's an interactive example of this here and the following illustrates how a degrees 0, 1, and 20 (dark orange, orange, and light orange) affect the average.
This level of configurability completely changes how a moving average models price for a given length, making the FWMA extremely versatile.
INPUTS
You can configure:
Length (how many historical bars to average)
Source (the bar value to average)
Offset (horizontal offset of the plot)
Weight (the shaping function)
Scalar (how much to adjust each weight)
Degree (how much to ease in / out)
Bézier Points (controls shape of Bézier)
Divisor & Anchor parameters
Style of the plot
BUT ... WHY?
We use moving averages to anticipate trend initialization, continuation, and termination. For a given look back period (length) we want the average to represent the data as accurately and smoothly as possible. The better it does this, the better it is at modeling price.
In this screenshot, both the FWMA (yellow) and EMA (blue) have a length of 9. They are both smooth, but one of them more accurately models price.
You wouldn't necessarily want to trade with these FWMA parameters, but knowing it does a better job of modeling price allows you to confidently expand the model to larger timeframes for bigger moves. Here, both the FWMA (yellow) and EMA (blue) have a length of 195 (aka. 50% of NYSE market hours).
INSPIRATION
I predominantly trade ETF derivatives and hold the position that markets are chaotic, not random . The salient difference being that randomness is entirely unpredictable, and chaotic systems can be modeled. The kind of analysis I value requires a very good pricing model.
The term "model" sounds more intimidating than it is. Math terms do that sometimes. It's just a mathematical estimation . That's it. For example, a regression is an "average regressing" model (aka. mean reversion ), and LOWESS (Locally Weighted Scatterplot Smoothing) is a statistically rigorous local regression .
LOWESS is excellent for modeling data. Also, it's not practical for trading. It's computationally expensive and uses data to the right of the point it's averaging, which is impossible in realtime (everything to the right is in the future). But many techniques used within LOWESS are still valuable.
My goal was to create an efficient real time emulation of LOWESS. Specifically I wanted something that was weighted non-linearly, was efficient, left-side only, and data faithful. Incorporate trading paradigms (like anchoring) and you get a Functionally Weighted Moving Average.
The formulas for determining the weights in LOWESS are typically chosen just because they seem to work well. Meaning ... they can be anything, and there's no justification other than "looks about right". So having a variety of functions (aka. kernels) for the FWMA, and being able to slide the weight range higher or lower, allows you to also make it "look about right".
William Cleveland, prominent figure in statistics known for his contributions to LOWESS, preferred using a tri-cube weighting function. Using Weight = Ease Out In with the Degrees = 3 is comparable to this. Enjoy!
Kaito Box with RSI Div(Dynamic Adjustment + MA + Long)The script implements a dynamic trading strategy that combines box range detection, RSI divergence signals, and moving average trend analysis. It is designed for use on OKX Signal Bots and includes features for dynamic position scaling and partial position closing. Below is a summary of its key functionalities:
Key Features:
Box Range Detection:
The script identifies price ranges using the highest high and lowest low of a configurable boxLength period.
These levels are plotted on the chart to visualize the price range.
RSI Divergence Detection:
The script calculates RSI using a configurable rsiLength.
Detects bullish divergence when price makes a lower low, but RSI makes a higher low.
Detects bearish divergence when price makes a higher high, but RSI makes a lower high.
Includes separate left and right lookback periods (leftLookback, rightLookback) for precise local extrema detection.
Customizable Moving Averages:
Supports multiple types of Moving Averages (SMA, EMA, SMMA, WMA, VWMA).
Calculates and plots MA20, MA50, MA100, and MA200 on a user-defined timeframe (custom_timeframe).
Identifies uptrends and downtrends based on the alignment of the moving averages and price levels.
Dynamic Position Scaling:
Implements dynamic position sizing for long entries and partial position closing for exits.
The percentage of position size added or closed is based on the difference between the current price and the average position price (avgPrice), with configurable minimum thresholds (minEnterPercent, minExitPercent).
Signal Integration for OKX Bots:
Sends buy/sell signals to OKX Signal Bots using the configured signalToken.
Supports market or limit orders with configurable price offsets and investment types.
Trend-Based Signal Filtering:
Only triggers long signals during downtrends and short signals during uptrends, ensuring trades align with the overall market context.
Visual Annotations:
Plots bullish and bearish divergence signals on the chart.
Displays labels showing dynamic position size adjustments and current average price during trades.
How It Works:
Long Signals:
Triggered when the price breaches the lower box range, and a bullish RSI divergence is detected.
Additional filtering ensures long trades are executed only during downtrend conditions.
Dynamically adjusts the position size based on the price difference from the average entry price.
Short Signals:
Triggered when the price breaches the upper box range, and a bearish RSI divergence is detected.
Additional filtering ensures short trades are executed only during uptrend conditions.
Dynamically closes portions of the position based on price movement relative to the average entry price.
Alerts:
Generates actionable alerts formatted for OKX bots, including order type, signal token, and dynamically calculated position sizes.
Use Case:
This strategy is well-suited for automated trading on platforms like OKX, where it can:
Exploit price ranges and RSI divergences for precise entries and exits.
Dynamically manage position sizes to optimize risk-reward.
Adapt to different market conditions using configurable parameters like moving averages, divergence lookbacks, and trend filters.
This script provides a robust foundation for traders looking to automate their strategies while maintaining flexibility and control over their trading logic.
SL - 4 EMAs, 2 SMAs & Crossover SignalsThis TradingView Pine Script code is built for day traders, especially those trading crypto on a 1‑hour chart. In simple words, the script does the following:
Calculates Moving Averages:
It computes four exponential moving averages (EMAs) and two simple moving averages (SMAs) based on the closing price (or any price you select). Each moving average uses a different time period that you can adjust.
Plots Them on Your Chart:
The EMAs and SMAs are drawn on your chart in different colors and line thicknesses. This helps you quickly see the short-term and long-term trends.
Generates Buy and Sell Signals:
Buy Signal: When the fastest EMA (for example, a 10-period EMA) crosses above a slightly slower EMA (like a 21-period EMA) and the four EMAs are in a bullish order (meaning the fastest is above the next ones), the script will show a "BUY" label on the chart.
Sell Signal: When the fastest EMA crosses below the second fastest EMA and the four EMAs are lined up in a bearish order (the fastest is below the others), it displays a "SELL" label.
In essence, the code is designed to help you spot potential entry and exit points based on the relationships between multiple moving averages, which work as trend indicators. This makes it easier to decide when to trade on your 1‑hour crypto chart.
ST -Dashboard Volume MTF , [Sese04]User Guide: ST - Dashboard Volume MTF
Introduction
This script displays a multi-timeframe (MTF) volume dashboard, tracking buy and sell volumes and the moving averages of volume. It is designed for traders using ICT (Inner Circle Trader) and SMC (Smart Money Concepts) to quickly visualize market dynamics across multiple timeframes.
Settings and Features
📌 User Inputs
Customizable settings allow traders to adjust the dashboard display and volume moving averages.
Volume Display per Timeframe
show_vol_1m: Show volume for 1-minute chart.
show_vol_5m: Show volume for 5-minute chart.
show_vol_15m: Show volume for 15-minute chart.
show_vol_1h: Show volume for 1-hour chart.
show_vol_4h: Show volume for 4-hour chart.
show_vol_1d: Show volume for 1-day chart.
Volume Moving Average Settings
ma_length_short: Length of the short-term moving average (default 5 periods).
ma_length_long: Length of the long-term moving average (default 14 periods).
Dashboard Customization
dashboard_position: Dashboard position (Bottom Right, Bottom Left, Top Right, Top Left).
text_color: Text color for the dashboard.
text_size: Text size (small, normal, large).
How the Script Works
🔹 1. Calculating Buy and Sell Volume
The calculate_buy_sell function separates buy and sell volume based on the candle's open and close price:
If the closing price is higher than the opening price → Buy volume 📈.
If the closing price is lower or equal to the opening price → Sell volume 📉.
🔹 2. Retrieving Volume Data Across Multiple Timeframes
The function get_volumes collects buy and sell volume data for different timeframes using request.security().
The available timeframes are: 1m, 5m, 15m, 1h, 4h, and 1d.
🔹 3. Calculating Volume Moving Averages
The script uses ta.sma() to compute moving averages for volume trends:
ma_vol_short: Short-term moving average (e.g., 5 periods).
ma_vol_long: Long-term moving average (e.g., 14 periods).
🔹 4. Creating and Displaying the Dashboard
A table (table.new()) is generated at the last bar (barstate.islast) to display the volume data:
A title “📊 Volume Dashboard (Buy vs Sell)” in purple.
Column headers:
TIMEFRAME (e.g., 1M, 5M, 15M, 1H, 4H, 1D).
BUY VOLUME (dark blue).
SELL VOLUME (dark red).
Buy and Sell Volume values are displayed in their respective cells for easy reading.
How to Use This Script on TradingView?
Adding the Script
Open TradingView.
Go to Pine Editor and paste the script.
Click "Add to Chart".
Configuring the Settings
Open the indicator settings.
Enable/disable the desired timeframes.
Adjust the moving average lengths if necessary.
Interpreting the Data
Increasing buy volume across timeframes may indicate bullish momentum.
Rising sell volume suggests a bearish reversal.
Crossovers of volume moving averages can help detect market shifts.
Conclusion
This script is a powerful tool for analyzing volume dynamics across multiple timeframes. It provides a quick overview of the balance between buyers and sellers, essential for ICT scalping and liquidity-based trading.
🚀 Pro Tip: Combine this dashboard with other SMC indicators (engulfing candles, pivot points) to refine your trading decisions.
Moving Average Crossover StrategyCertainly! Below is an example of a professional trading strategy implemented in Pine Script for TradingView. This strategy is a simple moving average crossover strategy, which is a common approach used by many traders. It uses two moving averages (a short-term and a long-term) to generate buy and sell signals.
Input Parameters:
shortLength: The length of the short-term moving average.
longLength: The length of the long-term moving average.
Moving Averages:
shortMA: The short-term simple moving average (SMA).
longMA: The long-term simple moving average (SMA).
Conditions:
longCondition: A buy signal is generated when the short-term MA crosses above the long-term MA.
shortCondition: A sell signal is generated when the short-term MA crosses below the long-term MA.
Trade Execution:
The strategy enters a long position when the longCondition is met.
The strategy enters a short position when the shortCondition is met.
Plotting:
The moving averages are plotted on the chart.
Buy and sell signals are plotted as labels on the chart.
How to Use:
Copy the script into TradingView's Pine Script editor.
Adjust the shortLength and longLength parameters to fit your trading style.
Add the script to your chart and apply it to your desired timeframe.
Backtest the strategy to see how it performs on historical data.
This is a basic example, and professional traders often enhance such strategies with additional filters, risk management rules, and other indicators to improve performance.
