Moving AveragesWhile this "Moving Averages" indicator may not revolutionize technical analysis, it certainly offers a valuable and efficient solution for traders seeking to streamline their chart analysis process. This all-in-one tool addresses a common frustration among traders: the need to constantly search for and compare different types and lengths of moving averages.
Key Features
The indicator allows for the configuration of up to 5 moving averages simultaneously, providing a comprehensive view of price trends. Users can choose from 7 types of moving averages for each line, including SMA, EMA, WMA, VWMA, HMA, SMMA, and TMA. This variety ensures that traders can apply their preferred moving average types without the need for multiple indicators.
Each moving average can be fully customized in terms of length, color, line style, and thickness, allowing for clear visual differentiation. However, what sets this indicator apart is its "Smart Opacity" feature. When activated, this option dynamically adjusts the transparency of the moving average lines based on their direction, with ascending lines appearing more opaque and descending lines more transparent. This subtle yet effective visual cue aids in quickly identifying trend changes and potential trading signals.
Advantages
The primary benefit of this indicator lies in its convenience. By consolidating multiple moving averages into a single, customizable tool, it saves traders valuable time and reduces chart clutter. The Smart Opacity feature, while not groundbreaking, does offer an intuitive way to visualize trend strength and direction at a glance.
Moreover, the indicator's flexibility makes it suitable for various trading styles and experience levels. Whether you're a novice trader learning to interpret basic trend signals or an experienced analyst fine-tuning a complex strategy, this tool can adapt to your needs.
In conclusion, while this "Moving Averages" indicator may not be a game-changer in the world of technical analysis, it represents a thoughtful refinement of a fundamental trading tool. By focusing on user convenience and visual clarity, it offers a practical solution for traders looking to optimize their chart analysis process and make more informed trading decisions.
HMA
HMA Fibonacci Rainbow Waves[FibonacciFlux]HMA Fibonacci Rainbow Waves
Overview
The HMA Fibonacci Rainbow Waves script is designed for traders who strive for simplicity in their trading strategies while navigating the complexities of chart analysis. By utilizing the Hull Moving Average (HMA) for smoothing, this indicator provides a refined view of price action. However, over-smoothing can sometimes filter out essential market noise. To address this, the indicator incorporates a unique approach by applying Fibonacci weighting to seven HMA200 calculations. This enables traders to capture noise while effectively following market trends.
BTCUSDT 4hour
Key Features
1. Hull Moving Average (HMA)
- The HMA is known for its responsiveness and ability to filter out noise, providing a clear view of the underlying trend.
- The indicator balances smoothness with responsiveness, making it suitable for various trading styles, from day trading to swing trading and scalping.
2. Fibonacci Weighting
- By applying Fibonacci numbers to the HMA calculations, the indicator enhances its ability to adapt to market dynamics.
- This unique approach allows traders to maintain clarity while accommodating fluctuations in price action, ensuring they do not miss critical entry points.
3. Multi-Timeframe Functionality
- The HMA Fibonacci Rainbow Waves indicator operates effectively across multiple timeframes, including daily, 4-hour, 5-minute, and 1-minute charts.
- This adaptability makes it a valuable tool for traders, regardless of their preferred trading style, facilitating seamless transitions between different market conditions.
4. Noise Capture and Trend Following
- The indicator is designed to capture essential market movements while filtering out excessive noise.
- It helps traders follow trends without being overwhelmed by market fluctuations, allowing them to act on advantageous entry conditions that might otherwise be obscured.
Signal Generation and Alerts
- The indicator generates buy and sell signals based on the relationship between the HMAs, providing clear entry and exit points.
- Customizable alerts keep traders informed of significant changes in market conditions, enabling timely decisions that reflect the nuances of market behavior.
BTCUSDT 15min
Benefits
1. Simplified Trading Approach
- Traders can focus on core market movements without being distracted by excessive noise, enhancing decision-making efficiency and minimizing emotional trading.
2. Flexibility Across Timeframes
- The ability to function across different timeframes allows traders to apply the same principles in various trading scenarios, from quick scalps to strategic swing trades.
3. Enhanced Market Insights
- The combination of HMA smoothing and Fibonacci weighting offers a comprehensive view of market trends, aiding traders in identifying potential opportunities, including those that institutional investors might exploit.
4. Resolving Complexity with Simplicity
- This indicator elegantly bridges the gap between simplicity and complexity, providing a single tool that addresses the inherent contradictions in trading psychology. It allows traders to simplify their strategies while still capturing the dynamic nature of the market.
BTCUSDT 1min
Conclusion
The HMA Fibonacci Rainbow Waves script is a powerful tool for traders seeking to streamline their analysis while effectively capturing market dynamics. By integrating advanced smoothing techniques with Fibonacci weighting, this indicator empowers traders to follow market trends confidently across various timeframes. Its design makes it an essential asset for both novice and experienced traders alike, offering insights that can reveal entry points often missed by traditional indicators.
Open Source Collaboration
This script is released as an open-source project on TradingView, inviting the global trading community to contribute and enhance its functionality. By collaborating on this project, traders can help improve its capabilities, ensuring it remains a valuable resource for market participants around the world.
Important Note
As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
Multi-Average Trend Indicator (MATI)[FibonacciFlux]Multi-Average Trend Indicator (MATI)
Overview
The Multi-Average Trend Indicator (MATI) is a versatile technical analysis tool designed for traders who aim to enhance their market insights and streamline their decision-making processes across various timeframes. By integrating multiple advanced moving averages, this indicator serves as a robust framework for identifying market trends, making it suitable for different trading styles—from scalping to swing trading.
MATI 4-hourly support/resistance
MATI 1-hourly support/resistance
MATI 15 minutes support/resistance
MATI 1 minutes support/resistance
Key Features
1. Diverse Moving Averages
- COVWMA (Coefficient of Variation Weighted Moving Average) :
- Provides insights into price volatility, helping traders identify the strength of trends in fast-moving markets, particularly useful for 1-minute scalping .
- DEMA (Double Exponential Moving Average) :
- Minimizes lag and quickly responds to price changes, making it ideal for capturing short-term price movements during volatile trading sessions .
- EMA (Exponential Moving Average) :
- Focuses on recent price action to indicate the prevailing trend, vital for day traders looking to enter positions based on current momentum.
- KAMA (Kaufman's Adaptive Moving Average) :
- Adapts to market volatility, smoothing out price action and reducing false signals, which is crucial for 4-hour day trading strategies.
- SMA (Simple Moving Average) :
- Provides a foundational view of the market trend, useful for swing traders looking at overall price direction over longer periods.
- VIDYA (Variable Index Dynamic Average) :
- Adjusts based on market conditions, offering a dynamic perspective that can help traders capture emerging trends.
2. Combined Moving Average
- The MATI's combined moving average synthesizes all individual moving averages into a single line, providing a clear and concise summary of market direction. This feature is especially useful for identifying trend continuations or reversals across various timeframes .
3. Dynamic Color Coding
- Each moving average is visually represented with color coding:
- Green indicates bullish conditions, while Red suggests bearish trends.
- This visual feedback allows traders to quickly assess market sentiment, facilitating faster decision-making.
4. Signal Generation and Alerts
- The indicator generates buy signals when the combined moving average crosses above its previous value, indicating a potential upward trend—ideal for quick entries in scalping.
- Conversely, sell signals are triggered when the combined moving average crosses below its previous value, useful for exiting positions or entering short trades.
Insights and Applications
1. Scalping on 1-Minute Charts
- The MATI excels in fast-paced environments, allowing scalpers to identify quick entry and exit points based on short-term trends. With dynamic signals and alerts, traders can react swiftly to price movements, maximizing profit potential in brief price fluctuations.
2. Day Trading on 4-Hour Charts
- For day traders, the MATI provides essential insights into intraday trends. By analyzing the combined moving average and its relation to individual moving averages, traders can make informed decisions on when to enter or exit positions, capitalizing on daily price swings.
3. Swing Trading on Daily Charts
- The MATI also serves as a valuable tool for swing traders. By evaluating longer-term trends through the combined moving average, traders can identify potential swing points and adjust their strategies accordingly. The flexibility of adjusting the lengths of the moving averages allows for tailored approaches based on market volatility.
Benefits
1. Clarity and Insight
- The combination of diverse moving averages offers a clear visual representation of market trends, aiding traders in making informed decisions across multiple timeframes.
2. Flexibility and Customization
- With adjustable parameters, traders can adapt the MATI to their specific strategies, making it suitable for various market conditions and trading styles.
3. Real-Time Alerts and Efficiency
- Built-in alerts minimize response times, allowing traders to capitalize on opportunities as they arise, regardless of their trading style.
Conclusion
The Multi-Average Trend Indicator (MATI) is an essential tool for traders seeking to enhance their technical analysis capabilities. By seamlessly integrating multiple moving averages with dynamic color coding and real-time alerts, this indicator provides a comprehensive approach to understanding market trends. Its versatility makes it an invaluable asset for scalpers, day traders, and swing traders alike.
Important Note
As with any trading tool, thorough analysis and risk management are crucial when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for market fluctuations.
Adaptive Fibonacci Trend Ribbon[FibonacciFlux]Adaptive Fibonacci Trend Ribbon (FibonacciFlux)
Overview
The Adaptive Fibonacci Trend Ribbon is a versatile technical analysis tool designed for traders who want to leverage the power of multiple moving averages while integrating Fibonacci numbers. This indicator provides a dynamic visual representation of market trends, enhancing decision-making processes in trading.
Key Features
1. Multi-Moving Averages
- The indicator calculates eight different moving averages based on user-defined periods, including Fibonacci numbers such as 5, 8, 13, 21, 34, 55, 89, and 144.
- Traders can choose from various moving average types, including EMA, HMA, WMA, VWMA, ALMA, SMA, RMA, and TMA , allowing for tailored analysis based on market conditions.
2. Trend Detection
- Each moving average is color-coded based on its trend direction, with green indicating an upward trend and red indicating a downward trend.
- This visual clarity helps traders quickly assess market sentiment and make informed decisions.
3. Fill Areas for Enhanced Insight
- The indicator features fill areas between the moving averages, which dynamically change color according to their relative positions.
- This provides a clear visual cue of trend strength and potential reversal points, allowing traders to identify key areas of interest.
4. Customizable Inputs
- Users can easily adjust the source data, moving average lengths, and ALMA parameters (offset and sigma) to fit their trading strategies.
- This flexibility ensures that traders can adapt the tool to various market conditions and personal preferences.
Insights and Applications
1. Fibonacci Integration
- By incorporating Fibonacci numbers into the moving average periods, this indicator allows traders to align their strategies with key levels of support and resistance.
- This can enhance the accuracy of entry and exit points, particularly in trending markets.
2. Trend Continuation and Reversal Analysis
- The adaptive nature of the moving averages provides insights into potential trend continuations or reversals.
- Traders can use the indicator to identify when to enter or exit positions based on the interaction between the moving averages.
3. Visual Clarity for Quick Decisions
- The color-coded moving averages and fill areas offer immediate visual feedback on market conditions, helping traders react swiftly to changing dynamics.
- This is especially useful in fast-moving markets where timely decisions are critical.
Conclusion
The Adaptive Fibonacci Trend Ribbon is an essential tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with Fibonacci integration and dynamic visual cues, this indicator offers a robust framework for understanding market trends. Its flexibility and clarity make it an invaluable asset for both novice and experienced traders alike.
Open Source Contribution
This indicator is open source, inviting contributions and improvements from the trading community. Feel free to fork, enhance, and share your insights with the world, helping to foster a collaborative environment for traders everywhere.
MTF EHMA & HMA Insights [FibonacciFlux]MTF EHMA & HMA Insights
Overview
The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a powerful technical analysis tool designed for traders seeking to enhance their market insights and decision-making processes. By integrating two advanced moving averages—Exponential Hull Moving Average (EHMA) and Hull Moving Average (HMA)—along with a dynamic midline, this indicator provides a comprehensive view of market trends across multiple timeframes.
Key Features
1. Dual Moving Averages
- Exponential Hull Moving Average (EHMA) :
- Offers a rapid response to price changes, making it particularly useful for identifying short-term trends.
- Utilizes a unique calculation method that reduces lag, allowing traders to react quickly to market movements.
- Hull Moving Average (HMA) :
- Known for its smoothness and ability to filter out noise, the HMA presents a clear picture of the underlying trend.
- The HMA is specifically designed to achieve a balance between responsiveness and smoothness, enabling traders to make informed decisions.
2. Midline Calculation
- Dynamic Midline (m) :
- The midline is calculated as the average of EHMA and HMA, providing a neutral reference point for evaluating price movements.
- It visually represents market sentiment; a rising midline suggests bullish conditions, while a declining midline indicates bearish trends.
3. Visual Components
- Fill Areas :
- Color-coded fills between the EHMA and HMA enhance visual clarity by indicating the relative position of these moving averages.
- The fill color dynamically changes based on the relationship between the two averages (green for EHMA below HMA and red for EHMA above HMA), allowing traders to quickly assess market conditions.
4. Signal Generation and Alerts
- Buy/Sell Signals :
- The indicator generates buy signals when the midline crosses above its previous value, indicating a potential upward trend.
- Conversely, sell signals are triggered when the midline crosses below its previous value, suggesting a possible downward movement.
- Alert Conditions :
- Built-in alerts notify traders in real-time when significant changes occur, allowing them to act swiftly on potential trading opportunities.
- Customizable alert messages ensure traders receive relevant information tailored to their strategies.
Technical Details
Input Parameters
- Timeframe Settings :
- Traders can customize the timeframes for both EHMA and HMA, enabling them to adapt the indicator to different trading styles and market conditions.
- Length Settings :
- Adjustable lengths for both moving averages impact their sensitivity, allowing traders to optimize their performance based on volatility and market dynamics.
Plotting and Visualization
- Plotting :
- The script plots the EHMA, HMA, and midline directly on the chart for easy visualization.
- Signal labels (BUY and SELL) are displayed prominently, helping traders to identify potential entry and exit points without ambiguity.
Benefits
1. Clarity and Insight
- The combination of EHMA, HMA, and midline provides a clear and concise visual representation of market trends, aiding traders in making informed decisions.
2. Flexibility
- Customizable parameters allow traders to tailor the indicator to their specific needs, making it suitable for various market conditions and trading styles.
3. Efficiency
- Real-time alerts and visual signals minimize response times, enabling traders to capitalize on opportunities as they arise.
4. Enhanced Trading Conditions
- When utilizing the Fibonacci number 144 on a daily chart, the indicator facilitates optimal trading conditions:
- "The entry was made before the bubble began, using 144 as the Fibonacci variable."
- "The exit occurred right before the bubble burst, or alternatively, a short position was initiated."
- "When the next bubble started, a long entry was made again."
- "Despite some lag, the position was exited and a long entry was made."
- "The exit or short entry took place at the second double top peak."
- "A short position was already established before the double top formation occurred."
- On a 4-hour chart, traders can effectively set stop losses at HMA levels, achieving a risk-reward ratio between 4 and 8.
- Additionally, analyzing the 15-minute chart with a multi-timeframe approach allows for more precise entry points.
Conclusion
The Multi-Timeframe EHMA, HMA, and Midline with Fill script is a robust tool for traders looking to enhance their technical analysis capabilities. By combining multiple moving averages with a dynamic midline and alert system, this indicator offers a comprehensive approach to understanding market trends. Its flexibility, clarity, and efficiency make it an invaluable asset for both novice and experienced traders alike.
Important Note
As with any trading tool, it is crucial to conduct thorough analysis and risk management when using this indicator. Past performance does not guarantee future results, and traders should always be prepared for potential market fluctuations.
HMA Z-Score Probability Indicator by Erika BarkerThis indicator is a modified version of SteverSteves's original work, enhanced by Erika Barker. It visually represents asset price movements in terms of standard deviations from a Hull Moving Average (HMA), commonly known as a Z-Score.
Key Features:
Z-Score Calculation: Measures how many standard deviations the current price is from its HMA.
Hull Moving Average (HMA): This moving average provides a more responsive baseline for Z-Score calculations.
Flexible Display: Offers both area and candlestick visualization options for the Z-Score.
Probability Zones: Color-coded areas showing the statistical likelihood of prices based on their Z-Score.
Dynamic Price Level Labels: Displays actual price levels corresponding to Z-Score values.
Z-Table: An optional table showing the probability of occurrence for different Z-Score ranges.
Standard Deviation Lines: Horizontal lines at each standard deviation level for easy reference.
How It Works:
The indicator calculates the Z-Score by comparing the current price to its HMA and dividing by the standard deviation. This Z-Score is then plotted on a separate pane below the main chart.
Green areas/candles: Indicate prices above the HMA (positive Z-Score)
Red areas/candles: Indicate prices below the HMA (negative Z-Score)
Color-coded zones:
Green: Within 1 standard deviation (high probability)
Yellow: Between 1 and 2 standard deviations (medium probability)
Red: Beyond 2 standard deviations (low probability)
The HMA line (white) shows the trend of the Z-Score itself, offering insight into whether the asset is becoming more or less volatile over time.
Customization Options:
Adjust lookback periods for Z-Score and HMA calculations
Toggle between area and candlestick display
Show/hide probability fills, Z-Table, HMA line, and standard deviation bands
Customize text color and decimal rounding for price levels
Interpretation:
This indicator helps traders identify potential overbought or oversold conditions based on statistical probabilities. Extreme Z-Score values (beyond ±2 or ±3) often suggest a higher likelihood of mean reversion, while consistent Z-Scores in one direction may indicate a strong trend.
By combining the Z-Score with the HMA and probability zones, traders can gain a nuanced understanding of price movements relative to recent trends and their statistical significance.
Moving Average Z-Score Suite [BackQuant]Moving Average Z-Score Suite
1. What is this indicator
The Moving Average Z-Score Suite is a versatile indicator designed to help traders identify and capitalize on market trends by utilizing a variety of moving averages. This indicator transforms selected moving averages into a Z-Score oscillator, providing clear signals for potential buy and sell opportunities. The indicator includes options to choose from eleven different moving average types, each offering unique benefits and characteristics. It also provides additional features such as standard deviation levels, extreme levels, and divergence detection, enhancing its utility in various market conditions.
2. What is a Z-Score
A Z-Score is a statistical measurement that describes a value's relationship to the mean of a group of values. It is measured in terms of standard deviations from the mean. For instance, a Z-Score of 1.0 means the value is one standard deviation above the mean, while a Z-Score of -1.0 indicates it is one standard deviation below the mean. In the context of financial markets, Z-Scores can be used to identify overbought or oversold conditions by determining how far a particular value (such as a moving average) deviates from its historical mean.
3. What moving averages can be used
The Moving Average Z-Score Suite allows users to select from the following eleven moving averages:
Simple Moving Average (SMA)
Hull Moving Average (HMA)
Exponential Moving Average (EMA)
Weighted Moving Average (WMA)
Double Exponential Moving Average (DEMA)
Running Moving Average (RMA)
Linear Regression Curve (LINREG) (This script can be found standalone )
Triple Exponential Moving Average (TEMA)
Arnaud Legoux Moving Average (ALMA)
Kalman Hull Moving Average (KHMA)
T3 Moving Average
Each of these moving averages has distinct properties and reacts differently to price changes, allowing traders to select the one that best fits their trading style and market conditions.
4. Why Turning a Moving Average into a Z-Score is Innovative and Its Benefits
Transforming a moving average into a Z-Score is an innovative approach because it normalizes the moving average values, making them more comparable across different periods and instruments. This normalization process helps in identifying extreme price movements and mean-reversion opportunities more effectively. By converting the moving average into a Z-Score, traders can better gauge the relative strength or weakness of a trend and detect potential reversals. This method enhances the traditional moving average analysis by adding a statistical perspective, providing clearer and more objective trading signals.
5. How It Can Be Used in the Context of a Trading System
In a trading system, it can be used to generate buy and sell signals based on the Z-Score values. When the Z-Score crosses above zero, it indicates a potential buying opportunity, suggesting that the price is above its mean and possibly trending upward. Conversely, a Z-Score crossing below zero signals a potential selling opportunity, indicating that the price is below its mean and might be trending downward. Additionally, the indicator's ability to show standard deviation levels and extreme levels helps traders set profit targets and stop-loss levels, improving risk management and trade planning.
6. How It Can Be Used for Trend Following
For trend-following strategies, it can be particularly useful. The Z-Score oscillator helps traders identify the strength and direction of a trend. By monitoring the Z-Score and its rate of change, traders can confirm the persistence of a trend and make informed decisions to enter or exit trades. The indicator's divergence detection feature further enhances trend-following by identifying potential reversals before they occur, allowing traders to capitalize on trend shifts. By providing a clear and quantifiable measure of trend strength, this indicator supports disciplined and systematic trend-following strategies.
No backtests for this indicator due to the many options and ways it can be used,
Enjoy
Dynamic Trailing (Zeiierman)█ Overview
The Dynamic Trailing (Zeiierman) indicator enhances the traditional SuperTrend approach by providing a more nuanced, adaptable tool for trend analysis and market volatility assessment. It combines techniques to identify dynamic support and resistance levels, trend directions, and market volatility. By integrating the Average True Range (ATR) with a unique multiplier system and smoothing mechanisms, this indicator offers a nuanced approach to trend-following strategies, making it a valuable asset for traders looking to leverage SuperTrend methodologies with additional insights into market dynamics.
█ How It Works
At its core, this indicator builds on the traditional SuperTrend formula by utilizing a modified ATR calculation to define the deviation for dynamic support and resistance levels. These levels are dynamically adjusted based on market volatility. The innovation lies in the addition of the Hull Moving Average (HMA) and the Triple Exponential Moving Average (TEMA) for an enhanced smoothing effect, making the indicator's trend signals more reliable and less prone to market noise. The trend direction is determined by comparing the closing price with the dynamic levels, facilitating clear bullish or bearish signals.
The indicator incorporates a 'Supertrend' function, which uses the dynamic levels and the price’s position relative to them to determine the trend direction. This determination is visualized through color-coded lines and a cloud zone, which expands or contracts based on the ATR and a user-defined width setting, illustrating the market's volatility and trend strength.
ATR Calculation: Utilizes the Average True Range (ATR) to measure market volatility. The ATR is a cornerstone of this indicator, helping to dynamically adjust the support and resistance levels according to the market’s changing conditions.
Supertrend Calculation: Implements a supertrend formula that combines the ATR with user-defined multipliers to plot potential trend directions. This feature helps in identifying whether the market is in an uptrend or downtrend, offering visual cues for potential reversals.
TEMA Calculation: Employs the Triple Exponential Moving Average (TEMA) through a Hull Moving Average (HMA) calculation to smooth out price data. This smoothing process helps in reducing market noise and makes the trend direction clearer.
Dynamic Support and Resistance: Calculates dynamic support and resistance levels by applying a deviation (derived from the ATR and user-defined multiplier) to the smoothed price data. These levels adapt to market conditions, providing areas where price might experience support or resistance.
Trend and Cloud Calculation: Determines the overall trend direction and plots a 'Cloud' zone around it, which adjusts in width based on the ATR and a user-defined cloud width setting. This cloud acts as a visual buffer, indicating the strength and stability of the current trend.
█ How to Use
Trend Identification: The primary function of this indicator is to help traders quickly identify the prevailing market trend. A change in the color of the dynamic trailing line or its position relative to the price can signal potential trend reversals.
Dynamic Support and Resistance: Unlike static levels, the dynamic levels adjust with market conditions, providing current areas where the price might experience support or resistance.
Dynamic Support
Dynamic Resistance
█ Settings
Mult (Multiplier): Adjusts the multiplier for the ATR calculation, affecting the deviation distance for support and resistance levels. Higher values decrease sensitivity and vice versa.
Len (Length): Sets the period for the HMA in the TEMA calculation, influencing the indicator's responsiveness to price changes.
Smoothness: Determines the smoothness of the dynamic support and resistance lines by setting the SMA length. Higher values result in smoother lines.
Cloud Width : Modifies the width of the cloud, providing a visual representation of market volatility.
Color Settings (upcol and dncol): Allows users to customize the colors of the indicator's lines and cloud, aiding in visual trend identification.
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Disclaimer
The information contained in my Scripts/Indicators/Ideas/Algos/Systems does not constitute financial advice or a solicitation to buy or sell any securities of any type. I will not accept liability for any loss or damage, including without limitation any loss of profit, which may arise directly or indirectly from the use of or reliance on such information.
All investments involve risk, and the past performance of a security, industry, sector, market, financial product, trading strategy, backtest, or individual's trading does not guarantee future results or returns. Investors are fully responsible for any investment decisions they make. Such decisions should be based solely on an evaluation of their financial circumstances, investment objectives, risk tolerance, and liquidity needs.
My Scripts/Indicators/Ideas/Algos/Systems are only for educational purposes!
PA-Adaptive Hull Parabolic [Loxx]The PA-Adaptive Hull Parabolic is not your typical trading indicator. It synthesizes the computational brilliance of two famed technicians: John Ehlers and John Hull. Let's demystify its sophistication.
█ Ehlers' Phase Accumulation
John Ehlers is well-known in the trading community for his digital signal processing approach to market data. One of his standout techniques is phase accumulation. This method identifies the dominant cycle in the market by accumulating the phases of individual cycles. By doing so, it "adapts" to real-time market conditions.
Here's the brilliance of phase accumulation in this code
The indicator doesn't merely use a static look-back period. Instead, it dynamically determines the dominant market cycle through phase accumulation.
The calcComp function, rooted in Ehlers' methodology, provides a complex computation using a digital signal processing approach to filter out market noise and pinpoint the current cycle's frequency.
By measuring and adapting to the instantaneous period of the market, it ensures that the indicator remains relevant, especially in non-stationary market conditions.
Hull's Moving Average
John Hull introduced the Hull Moving Average (HMA) aiming to reduce lag and improve smoothing. The HMA's essence lies in its weighted average computation, prioritizing more recent prices.
This code takes an adaptive twist on the HMA
Instead of a fixed period, the HMA uses the dominant cycle length derived from Ehlers' phase accumulation. This makes the HMA not just fast and smooth, but also adaptive to the dominant market rhythm.
The intricate iLwmp function in the script provides this adaptive HMA computation. It's a weighted moving average, but its length isn't static; it's based on the previously determined dominant market cycle.
█ Trading Insights
The indicator paints the bars to represent the immediate trend: green for bullish and red for bearish.
Entry points, both long ("L") and short ("S"), are presented visually. These are derived from crossovers of the adaptive HMA, a clear indication of a potential shift in the trend.
Additionally, alert conditions are set, ready to notify a trader when these crossovers occur, ensuring real-time actionable insights.
█ Conclusion
The PA-Adaptive Hull Parabolic is a masterclass in advanced technical indicator design. By marrying John Ehlers' adaptive phase accumulation with John Hull's HMA, it creates a dynamic, responsive, and precise tool for traders. It's not just about capturing the trend; it's about understanding the very rhythm of the market.
MultiMovesCombines 3 different moving averages together with the linear regression. The moving averages are the HMA, EMA, and SMA. The script makes use of two different lengths to allow the end user to utilize common crossovers in order to determine entry into a trade. The edge of each "cloud" is where each of the moving averages actually are. The bar color is the average of the shorter length combined moving averages.
-The Hull Moving Average (HMA), developed by Alan Hull, is an extremely fast and smooth moving average. In fact, the HMA almost eliminates lag altogether and manages to improve smoothing at the same time. A longer period HMA may be used to identify trend.
-The exponential moving average (EMA) is a technical chart indicator that tracks the price of an investment (like a stock or commodity) over time. The EMA is a type of weighted moving average (WMA) that gives more weighting or importance to recent price data.
-A simple moving average (SMA) is an arithmetic moving average calculated by adding recent prices and then dividing that figure by the number of time periods in the calculation average.
-The Linear Regression Indicator plots the ending value of a Linear Regression Line for a specified number of bars; showing, statistically, where the price is expected to be. Instead of plotting an average of past price action, it is plotting where a Linear Regression Line would expect the price to be, making the Linear Regression Indicator more responsive than a moving average.
The lighter colors = default 50 MA
The darker colors = default 200 MA
Moving Averages SuiteThe Moving Averages Suite is a powerful technical analysis tool that provides traders with unparalleled control over five different moving averages and two special moving average indexes. This suite is designed to provide traders with a comprehensive understanding of market trends and help them make more informed trading decisions.
By default, the Moving Averages Suite displays two special moving average indexes that are made from the moving averages within the suite. These special moving average indexes are specially weighted indexes that are designed to provide a more accurate representation of market trends. The first index is the Moving Average Directional Index (MADI), which measures the strength of the trend in the market. The second index is the Moving Average Oscillator Index (MAOI), which measures the momentum of the trend in the market.
In addition to these special indexes, traders can enable five different moving averages within the suite. These moving averages include the TEMA, HMA, EMA, VWMA, and SMA. Each moving average has a specific purpose and is used to provide traders with a unique perspective on market trends.
The Triple Exponential Moving Average (TEMA) is designed to reduce the lag time associated with traditional moving averages. This moving average places more weight on recent price data, providing traders with a more accurate representation of current market trends.
The Hull Moving Average (HMA) is another moving average that is designed to reduce lag time. This moving average uses weighted averages to provide traders with a more accurate representation of market trends.
The Exponential Moving Average (EMA) is a popular moving average that is used to identify trends in the market. This moving average places more weight on recent price data, providing traders with a more accurate representation of current market trends.
The Volume Weighted Moving Average (VWMA) is another moving average that is used to identify trends in the market. This moving average places more weight on periods of high volume, providing traders with a more accurate representation of market trends during high volume periods.
The Simple Moving Average (SMA) is a widely used moving average that provides traders with a simple and easy-to-understand representation of market trends.
The Moving Averages Suite is a powerful technical analysis tool that provides traders with unparalleled control over five different moving averages and two special moving average indexes. Each moving average within the suite is designed to provide traders with a unique perspective on market trends, allowing them to make more informed trading decisions. Traders who are looking to gain a comprehensive understanding of market trends should consider using the Moving Averages Suite in their trading strategies.
Indicatore volatilità v5 con segnali------------- INGLESE -------------
This indicator uses an exponential moving average (HMA) of the length specified by the user to calculate market volatility. Volatility is calculated by multiplying the Average True Range (ATR) by the simple moving average (SMA) of the volume.
The code uses colors to display market conditions. If the closing price is above the HMA, the columns turn green. If the closing price is below the HMA, the columns turn red. If volatility is below the SMA of volatility multiplied by the user-specified sideways volatility threshold, the columns turn orange.
In addition, the code uses the Rate of Change (ROC) to generate buy and sell signals. If the ROC is positive and the columns are green, a buy signal is generated and the columns turn black. If the ROC is negative and the columns are red, a sell signal is generated and the columns turn purple.
In summary, this indicator uses colors to display market conditions and help the user enter and exit the market based on volatility.
If you like this indicator give me a boost and leave a comment!! Thank you!
------------- ITALIANO -------------
Questo indicatore utilizza una media mobile esponenziale (HMA) della lunghezza specificata dall’utente per calcolare la volatilità del mercato. La volatilità viene calcolata moltiplicando l’Average True Range (ATR) per la media mobile semplice (SMA) del volume.
Il codice utilizza i colori per visualizzare le condizioni di mercato. Se il prezzo di chiusura è superiore all’HMA, le colonne diventano verdi. Se il prezzo di chiusura è inferiore all’HMA, le colonne diventano rosse. Se la volatilità è inferiore alla SMA della volatilità moltiplicata per la soglia di volatilità laterale specificata dall’utente, le colonne diventano arancioni.
Inoltre, il codice utilizza il Rate of Change (ROC) per generare segnali di acquisto e vendita. Se il ROC è positivo e le colonne sono verdi, viene generato un segnale di acquisto e le colonne diventano nere. Se il ROC è negativo e le colonne sono rosse, viene generato un segnale di vendita e le colonne diventano viola.
In sintesi, questo indicatore utilizza i colori per visualizzare le condizioni di mercato e aiutare l’utente a entrare e uscire dal mercato in base alla volatilità.
Se ti piace questo indicatore mettimi un boost e lascia un commento!! Grazie!
Moonhub IndexMoonhub Index combines several popular technical indicators to create an aggregated index that aims to give a clearer overall picture of the market. The index takes into account the current market condition (trending, ranging, or volatile) to adjust its calculations accordingly.
The indicators used in this composite index are:
Hull Moving Average (HMA)
Fisher Transform (FT)
Williams Alligator
Moving Average Convergence Divergence (MACD)
Average True Range (ATR)
On-Balance Volume (OBV)
Money Flow Index (MFI)
Accumulation/Distribution (AD)
Pivot Points
True Strength Index (TSI)
Volume-Weighted Average Price (VWAP)
The script calculates the values of each indicator and then normalizes and weighs them according to predefined weights. The composite index is formed by summing the weighted values of each indicator. The final Moon Index is plotted on the chart, along with several other related lines like the exponential moving averages (EMA) and simple moving averages (SMA) of the index.
This custom index can be used by traders to get a more comprehensive view of the market and make better-informed trading decisions based on the combined insights of multiple indicators.
Multiple Moving Average ToolkitFeatures Overview:
Multiple Moving Averages: The script allows you to plot up to five different Moving Averages (MAs) on your chart at the same time. You can choose the type of MA (EMA, SMA, HMA, WMA, DEMA, VWMA, VWAP) and the length of each one.
Color Ribbon: You can turn the MAs into a color ribbon by selecting the "Turn into Color Ribbon?" option. This will make the area between the MAs colored and can help you identify trends more easily.
MA Value Table: You can draw a table on your chart that displays the current values of each MA, whether the trend is bullish or bearish along with the length of the MAs. The current ATR value is also shown in the last cell of the table. You can choose the location of the table (Top Left, Top Right, Bottom Left, Bottom Right) and the transparency of the background color.
Crosses: The script can detect when two MAs cross over each other (1st MA crosses 5th MA and vice versa), indicating a potential trend reversal. It will plot crosses on the chart at the point of the crossover and give an alert if the "Bullish Cross Detected" or "Bearish Cross Detected" condition is met.
How to use:
Once the script is added to your chart, you can customize the settings to fit your preferences. You can choose the type and length of each MA, whether to turn them into a color ribbon, whether to plot crosses, and whether to draw the MA Value Table.
The MA Value Table can be moved to a different location on the chart by selecting the "Location of Table" option and choosing Top Left, Top Right, Bottom Left, or Bottom Right.
Watch for MA crossovers and alerts to identify potential trend reversals. The script can help you identify bullish and bearish trends by color-coding the area between the MAs and displaying the current values of each MA in the table.
Breakdown of the script:
User Inputs
The first section of the script defines several user inputs that allows you to customize the indicator. These include options for turning the MAs into a color ribbon, plotting crosses when there is a bullish or bearish cross of the MAs, drawing a table of the MA values, and setting the transparency of the ribbon. You can also select the location of the MA value table and customize the settings for each individual MA.
Moving Average Calculation
The script defines a function called "getMA" that calculates the moving average for a given type and length. The function uses a switch statement to determine which type of moving average to use, such as an exponential moving average (EMA), simple moving average (SMA), Hull moving average (HMA), weighted moving average (WMA), double exponential moving average (DEMA), volume-weighted moving average (VWMA), or volume-weighted average price (VWAP).
The script then calls this function to calculate the values of up to five different MAs, depending on the user input. The ATR (average true range) is also calculated using the TA library.
Color Filter and Cross Detection
The script sets a color filter based on the relationship between the MAs. If the shorter-term MAs are above the longer-term MAs, the filter is set to green to indicate a bullish trend, and if the shorter-term MAs are below the longer-term MAs, the filter is set to red to indicate a bearish trend. You can adjust the transparency of the ribbon to make it more or less visible.
The script also detects when there is a bullish or bearish cross of the MAs and can generate alerts to notify you.
MA Plotting
The script plots up to five MAs on the chart, depending on the user input. The MAs are plotted as lines with different colors and thicknesses, and you can choose to turn them into a color ribbon if desired.
Cross Plotting
The script plots crosses on the chart when there is a bullish or bearish cross of the MAs. The crosses are plotted as X shapes at the location of the cross and are color-coded to indicate the direction of the cross.
MA Value Table
Finally, the script draws a table of the MA values on the chart, displaying the values of each MA as well as the current trend and the ATR. You can customize the location of the table, and the table is colored to match the color filter of the MAs.
Feel free to message me or comment on the post with any questions or issues!
Much more to come!
Thanks for reading, enjoy!
KST con HMA---------- ENGLISH DESCRIPTION ----------
The indicator created is called "KST with HMA" and is used to measure the impulse of an asset's price.
The code begins by defining four variables representing ROC (Rate of Change) period lengths for calculating the KST (Know Sure Thing) and a variable for the length of the HMA (Hull Moving Average).
Next, an HMA function is defined to calculate the Hull Moving Average, a type of weighted moving average that adjusts for price volatility.
ROC values are then calculated for the four periods defined above and KST values are calculated as a weighted sum of the ROC values. These values are then normalized with the HMA and the standard deviation of the HMA is calculated. The normalized value is finally plotted with three different color lines: black for values greater than 1, red for values less than -1, and green for values between -1 and 1.
Finally, a black dashed line is plotted to represent the zero line. The green line indicates a phase of market uncertainty or lateralization, while the indicator can be used to identify buy points above zero and sell points below zero.
---------- ITALIAN DESCRIPTION ----------
L'indicatore creato è chiamato "KST con HMA" e viene utilizzato per misurare l'impulso del prezzo di un asset.
Il codice inizia definendo quattro variabili che rappresentano le lunghezze dei periodi di ROC (Rate of Change) per il calcolo del KST (Know Sure Thing) e una variabile per la lunghezza dell'HMA (Hull Moving Average).
Successivamente viene definita una funzione HMA per il calcolo della Hull Moving Average, un tipo di media mobile ponderata che si adatta alla volatilità del prezzo.
Vengono poi calcolati i valori ROC per i quattro periodi definiti in precedenza e calcolati i valori KST come somma ponderata dei valori ROC. Questi valori vengono poi normalizzati con l'HMA e viene calcolata la deviazione standard dell'HMA. Il valore normalizzato viene infine plottato con tre diverse linee di colore: nero per valori superiori a 1, rosso per valori inferiori a -1 e verde per valori tra -1 e 1.
Infine, viene plottata una linea tratteggiata nera per rappresentare la linea zero. La linea verde indica una fase di incertezza o lateralizzazione del mercato, mentre l'indicatore può essere utilizzato per individuare punti di acquisto sopra lo zero e di vendita al di sotto dello zero.
Moving Average Lab - by InFinitoThe Moving Average Lab allows to create any possible combination of up to 3 given MAs. It is meant to help you find the perfect MA that fits your style, strategy and market type.
This script allows to average, weight, double and triple multiple types and lengths of Moving Averages
Currently supported MA types are:
SMA
EMA
VWMA
WMA
SMMA (RMA)
HMA
LSMA
DEMA
TEMA
Features:
- Double or Triple any type of Moving Average using the same logic used for calculating DEMAs and TEMAs:
In the following example you can see a normal, double and triple 200 VWMA
- Average 2 or 3 different types and lengths of Moving Average:
In the example you can see the average between a Double LSMA and a SMA
- Weight each MA manually:
The example shows the average of an HMA and a VWMA with the HMA having a weight of 2 and the VWMA having a weight of 1
- Average up to 3 personalized MAs:
The example shows the average of an EMA + a Double WMA + a Triple SMA with a 3:2:1 weighting
- Average different Moving Averages with different length each:
The example shows the average of an 800 SMA + a 400 VWMA + a 200 EMA
HMA Breakout Buy/Sell indicator for Scalping & Intraday - ShyamHi All,
This is a very simple indicator which provides the buy signal, when the moving average lines turns Green and sell signal, when the moving average signal turns red. This can be used for both intraday and scalping method with different timeframes. But best time frame is 5 minutes.
Buy Signal >>> Line turns GREEN (Use trailing SL to cover maximum profit)
Sell Signal >>> Line turns RED (Use trailing SL to cover maximum profit)
No trade >>> Line turns GRAY
Best timeframe >>> 5 minutes
Thanks,
Shyam
Combined Moving Averages + Squeeze & Volume Spike SignalsThis is a set of 4 combined moving averages. Each moving average is a combination of an EMA, SMA, HMA, RMA, WMA and VWMA with the same length as set in your input settings. All 6 of them are added together and then divided by 6 for an average of all of them. This is based on the theory that most traders use their own preference of moving averages, so combining them all should give us a better idea of where price should actually react since we are using the average of what most traders are using on their charts. It also smooths the moving averages out as well so you get a much easier to read moving average than any of them on their own which should help you hold positions longer and time your entries better.
The default lengths used for this indicator are as follows: 10, 50, 100 and 500. These lengths can be updated in the settings. The 10 and 500 will change colors when the individual moving average is less than or greater than its previous value. Price above or below the moving average does not affect the colors. The 50 and 100 are colored based on whether the 50 is greater/less than the 100.
The two middle length moving averages by default are the 50 and 100. This has been turned into a cloud because it is the area where price typically bounces, since tons of traders use the 50 and 100 moving averages. This should be your long/short zone when price is trending.
Each moving average can be set to use a different source such as close, open, high, low, ohlc4, etc. You can also adjust the length of each moving average. Default settings work well, but feel free to customize them to your liking. You can also change the colors of the lines in the settings.
Beware that changing the lengths of MA #2 and MA #3 will change the signals, squeezes and the cloud.
VOLUME SPIKES
The cloud will change to a brighter color when a volume spike is detected. When a major volume spike is detected, it will turn very bright colored green/red according to the direction of the cloud. This notifies you of volume spikes so you have a better idea of how strong the trend is. If the cloud is a dark green/red then that means that volume is less than or equal to the recent median volume.
SIGNALS
There are also signals that will be given when the current candle is in the cloud, the candle is going in the same direction as the cloud, the MA #2 and MA #3 is going in the same direction and a volume spike is detected. These help you identify good entries when markets are trending. Be cautious of these signals when the trend is sideways and not clearly moving in one direction. The signals can be turned on or off in the settings.
SQUEEZE
Many times when moving averages squeeze together, a big move happens shortly after. Because of this I added a yellow background color when a squeeze is detected. It looks at the median value difference of the MA #2 and MA #3 and if the current value difference is less than the median multiplied by the multiplier in the settings then it will change the background color to notify you. The default value of the multiplier is .6, meaning the squeeze signal will only show if the current value difference of the cloud is less than .6 of the median difference. The multiplier can be adjusted in the settings to suit your preferences. Lower values will only show tighter squeezes.
MARKETS
This indicator can be used on all markets including stocks, crypto, futures and forex.
TIMEFRAMES
This indicator can be used on all timeframes.
PAIRINGS
We recommend pairing this combined moving average with Trend Friend Swing Trade And Scalp Signals for extra confluence. Look for price to bounce in the cloud with good volume and a confirming signal from Trend Friend for highly probable moves.
Trend Slope Meter - KaspricciTrend Slope Meter
This indicator measures the slope of the trend defined by a moving average or an external source. The slope is calculated by the change of price in ticks for a defined number of bars divided by the number of bars.
Settings
Source - Default: close price. Used to calculate the moving average as basis for slope measurement. Can be an external source of a different indicator as well. In case you select an external source, you can disable the moving average calculation.
Moving Average Settings
Type - Default: EMA. Type of moving average calculation. All provided out of the box by TradingView.
Length - Default: 50. Length used to calculate moving average.
Slope Settings
Length - Default: 50. Length used to calculate slope.
HMA Slope OscillatorA Hull Moving Average (HMA) slope oscillator. It uses a HMA slope to identify up/down trends. Usage is simple: adjust the HMA and signal length according to your needs. Long orders start when the bar changes from under (the zero line) to over the zero line. You can also spot "early" long entries when the bar moves close to the zero line. Short orders should be placed when a red bar appears after blue bars (top of the mountain).
"Play" with the length to find the best settings for your trading strategy.
** I have not added alerts. If you need alerts just let me know and I will be happy to update this indicator.
SUPER MULTI MOVING AVERAGE [Gabbo]this indicator serves to differentiate the classic Moving Average with a different style
There are 3 Moving Average editable with the Source, length, timeframe and styles. the styles are:
SMA = Simple moving average
EMA = Exponential moving average
WMA = Weighted moving average
RMA = Rolling moving average
HMA = Hull moving average
JMA = Jurik moving average
DEMA = Double exponential moving average
TEMA = Triple exponential moving average
LSMA = Least squares moving average
VWMA = Volume-weighted moving average
SMMA = Moving average Smoothed
KAMA = Kaufman Moving Average Adaptive
ALMA = Arnaud Legoux moving average
FRAMA = Fractal Adaptive moving average
VIDYA = Variable Index Dynamic Average
There are also Inputs that are valid only for some styles such as:
JMA = "Phase" and "Power"
ALMA = "Offset" and "Sigma"
FRAMA = "Lower shift ( FC )" and "Upper shift ( SC )"
VIDYA = "Fixed CMO Lenght (9)?" and "Calculation Method: CMO/StDev?"
The "Ema Fill" input is used to decide the type of Moving Average long or short, the choices are:
Fast/Slow = Long = maFast >= maSlow --- Short maSlow > maFast
Fast = Long = maFast >= close ------ Short maFast < close
Slow = Long = maSlow >= close ------ Short maSlow < close
NA = No fill
If they also select the input "USE Ema Conf ???" the calculations for Moving Average Long and Short become like this:
Fast/Slow = Long = maFast >= maSlow and maConf >= maFast --- Short maSlow > maFast and maSlow > maFast
Fast = Long = maFast >= close and maConf >= maFast ------ Short maFast < close and maFast > maConf
Slow = Long = maSlow >= close and maConf >= maSlow ------ Short maSlow < close and maSlow > maConf
NA = No fill
selecting the input "TABLE ???" a table with 8 boxes will appear and each will be of a different color, based on the Moving Average Long and Short of the 8 different Timeframes.
the "Neutral Position" input is used to calculate the Moving Average Neutral, Long and Short
Long = maFast- maSlow >= upBar and maFast >= maFamaSlow
Short = maFast- maSlow <= -lowBar and maSlow > maFast
Neutral = maFast >= maSlow and maFast- maSlow < upBar OR maSlow > maFast and maFast- maSlow > -lowBar
Hull Butterfly Oscillator [LuxAlgo]The Hull Butterfly Oscillator (HBO) is an oscillator constructed from the difference between a regular Hull Moving Average (HMA) and another with coefficients flipped horizontally.
Levels are obtained from cumulative means of the absolute value of the oscillator. These are used to return dots indicating potential reversal points.
Settings
Length: Number of past price inputs processed by the oscillator.
Levels Multiplier: Determine how far the levels are from 0.
Src: Input source of the indicator.
Usage
The oscillator can be used like most available oscillators. The sign of the HBO allows determining the current trend direction, while divergences with price might indicate potential reversals.
The displayed levels can additionally indicate whether the market is overbought or oversold. When the direction of the oscillator changes while being above the upper or lower level a red dot (if above upper level) or green dot (if under lower level) will be displayed, indicating a potential reversal.
Details
The name of the indicator is directly derived behind the coefficients used for its calculation. Displaying regular Hull coefficients alongside those flipped horizontally slightly resemble a butterfly, the difference between these sets of coefficients allows obtaining the HBO.
This operation allows to obtain a more structured impulse response, potentially giving less undesired performances on the frequency domain compared to simpler operation involving subtracting the HMA to a SMA, EMA or WMA.
Fibonacci MAsIt's a pretty simple script. Idea is to compute MAs with the length of Fibonacci numbers and then compute an average of them all.
In the script, you can choose the type of MAs and how many Fibonacci numbers to use for it.
You can also adjust the length of these MAs manually and choose the color of every one of them.
Thanks to @MUQWISHI for helping me code it.
Disclaimer
Please remember that past performance may not be indicative of future results.
Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting.
This post and the script don’t provide any financial advice.
