Trend & Pullback Toolkit (Expo)█ Overview
The Trend & Pullback Trading Toolkit is an all-encompassing suite of tools designed for serious traders who want a comprehensive trend approach. It empowers traders to align their strategies with prevailing market trends, thereby mitigating risk while maximizing profit potential.
The Toolkit helps traders spot, analyze, and react to market trends, pullbacks, and significant trends. It combines multiple trading methodologies, such as the Elliott Wave theory, cyclical analysis, retracement analysis, strength analysis, volatility analysis, and pivot analysis, to provide a thorough understanding of the market. All these tools can help traders detect trends, pullbacks, and major shifts in the overall trend. By integrating different methodologies, this toolkit offers a multifaceted approach to analyzing market trends.
In essence, the Trend & Pullback Toolkit is the complete package for traders seeking to detect, evaluate, and act upon market trends and pullbacks while being prepared for major trend shifts.
The Trend & Pullback Toolkit works in any market and timeframe for discretionary analysis and includes many oscillators and features, but first, let us define what a cycle is:
█ What is a cycle
This involves the analysis of recurring patterns or events in the market that repeat over a specific period. Cycles can exist in various time frames and can be identified and analyzed with various tools, including some types of oscillators or time-based analysis methods.
Traders must also be aware that cycles do not always repeat perfectly and can often shift, evolve, or disappear entirely.
█ Features & How They Work
Elliott Wave Cycles: This is a method of technical analysis that traders use to analyze financial market cycles and forecast market trends. Elliott Wave theory asserts that markets move in repetitive cycles, which traders can analyze to predict future price movement. The core principle behind the theory is that market prices alternate between an impulsive, or driving phase, and a corrective phase on all time scales of trend. This pattern forms a fractal, meaning it's a self-similar pattern that repeats regardless of the degree or size of the waves.
The Elliott Wave Cycle Feature uses the principle of the Elliott Wave to identify trends and pullbacks in real-time.
Ratio Wave Cycle: This method elaborates on the concept of how negative volatility, or the degree of variation in the negative returns of a financial instrument, influences the effectiveness of a relative price move. Essentially, it delves into the relationship between the negative fluctuations in the market and the resulting relative price change, exploring how the two aspects interact with each other.
The central concept is that trends are generally more stable and predictable than rapid retracements. Therefore, the indicator calculates the relationship between these two market movements. By doing so, it establishes a trend-based identification system. This system aids in forecasting future market movements, allowing traders to make informed decisions based on these predictions. Essentially, it uses the calculated relationship to discern the overall direction (trend) of the market despite temporary counter-movements (retracements), thereby providing a more robust trading signal.
Periodic Wave Cycle: Thi refers to patterns or events in price action that recur over a specific time period. Periodic cycles can range from short-term intraday cycles (like the tendency for stock market volatility to be high at the opening and close of trading) to long-term cycles trend cycles. Traders use this to predict future price movements and trends.
By identifying the phases of a cycle, traders can predict key turning points in the market.
Retracement Cycles: Retracements are temporary price reversals that occur within a larger trend. These retracements are a common occurrence in all markets and timeframes, representing a pause or counter-move within a larger prevailing trend. Retracements can be driven by a variety of factors, including profit-taking, market uncertainty, or a change in market fundamentals. Despite these periodic reversals, the overall trend (upwards or downwards) often continues after the retracement is complete.
Fibonacci retracement functions are primarily used to identify potential retracement levels.
Volatility Cycle: A volatility cycle refers to the periodic changes in the degree of dispersion or variability of a security's returns, expressed as a standard deviation or variance. This feature uses both measures.
Strength Cycle: Gauges the power of a market trend and its inherent impulses. This feature offers a broad perspective on the cyclical nature of markets, which alternate between periods of strength, often referred to as bull markets, and periods of weakness, known as bear markets. It effectively tracks the direction, intensity, and cyclic patterns of market behavior.
Let us define the difference between strength and impulse:
Strength: This refers to the power or force behind a price move. In trading, this refers to the momentum or volume supporting a price move.
Impulse: In the context of trading, an impulse usually refers to a strong move in price. Impulse moves are typically followed by corrective moves against the trend.
Pivot Cycles: Pivot cycles refer to the observation of recurring price patterns or turning points in the market. Pivots can be defined as significant highs or lows that act as potential reversal or support/resistance points. Pivot point analysis helps traders understand the prevailing market sentiment. Overall, pivot cycles provide traders with a framework to identify potential market turning points and price levels of interest.
█ How to use the Trend & Pullback Toolkit
Elliott Wave Cycles
Ratio Wave Cycle
Periodic Wave Cycle
Retracement Cycles
Volatility Cycle:
Strength Cycle
Pivot Cycles
█ Why is this Trend & Pullback Toolkit Needed?
The core philosophy of this toolkit revolves around the popular adage in trading circles: "The trend is your friend." This toolkit ensures that you are always in sync with the trend, thereby increasing the chances of successful trades.
Here's an overview of the key benefits:
Trend Identification: The toolkit includes sophisticated algorithms and indicators that help identify the prevailing trend in the market. These algorithms analyze price patterns, momentum, volume, and other factors to determine the direction and strength of the trend.
Risk Reduction: By enabling traders to trade with the trend, this toolkit reduces the risk of betting against market momentum.
Profit Maximization: Trading with the trend increases the likelihood of successful trades.
Advanced Analysis Tools: The toolkit includes tools that provide a deeper insight into market dynamics. These tools enable a multi-dimensional analysis of market trends, from Elliott Wave cycles and period cycles to retracement cycles, ratio wave cycles, pivot cycles, and strength cycles.
User-friendly Interface: Despite its sophistication, the toolkit is designed with user-friendliness in mind. It allows for customization and presents data in easy-to-understand formats.
Versatility: The toolkit is versatile and can be used across different markets - stocks, forex, commodities, and cryptocurrencies. This makes it a valuable resource for all types of traders.
█ Any Alert Function Call
This function allows traders to combine any feature and create customized alerts. These alerts can be set for various conditions and customized according to the trader's strategy or preferences.
█ In conclusion, The Trading Toolkit is a powerful ally for any trader, offering the capabilities to navigate the complexities of the market with ease. Whether you're a novice or an experienced trader, this toolkit provides a structured and systematic approach to trading.
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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!
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Descending Elliot Wave Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws descending Elliot Wave patterns and price projections derived from the ranges that constitute the patterns.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Elliot Wave Patterns
Ralph Nelson Elliott, authored his book on Elliott wave theory titled "The Wave Principle" in 1938. In this book, Elliott presented his theory of market behaviour, which he believed reflected the natural laws that govern human behaviour.
The Elliott Wave Theory is based on the principle that waves have a tendency to unfold in a specific sequence of five waves in the direction of the trend, followed by three waves leading in the opposite direction. This pattern is called a 5-3 wave pattern and is the foundation of Elliott's theory.
The five waves in the direction of the trend are labelled 1, 2, 3, 4, and 5, while the three waves in the opposite direction are labelled A, B, and C. Waves 1, 3, and 5 are impulse waves, while waves 2 and 4 are corrective waves. Waves A and C are also corrective waves, while wave B is an impulse wave.
According to Elliott, the pattern of waves is fractal in nature, meaning that it occurs on all time frames, from the smallest to the largest.
In Elliott Wave Theory, the distance that waves move from each other depends on the specific market conditions and the amplitude of the waves involved. There is no fixed rule or limit for how far waves should move from each other, however, there are several guidelines to help identify and measure wave distances. One of the most common guidelines is the Fibonacci ratios, which can be used to describe the relationships between wave lengths. For example, Elliott identified that wave 3 is typically the strongest and longest wave, and it tends to be 1.618 times the length of wave 1. Meanwhile, wave 2 tends to retrace between 50% and 78.6% of wave 1, and wave 4 tends to retrace between 38.2% and 78.6% of wave 3.
In general, the patterns are quite rare and the distances that the waves move in relation to one another is subject to interpretation. For such reasons, I have simply included the ratios of the current ranges as ratios of the preceding ranges in the wave labels and it will, ultimately, be up to the user to decide whether or not the patterns qualify as valid.
█ FEATURES
Inputs
• Show Projections
• Pattern Color
• Label Color
• Extend Current Projection Lines
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
Ascending Elliot Wave Patterns [theEccentricTrader]█ OVERVIEW
This indicator automatically draws ascending Elliot Wave patterns and price projections derived from the ranges that constitute the patterns.
█ CONCEPTS
Green and Red Candles
• A green candle is one that closes with a close price equal to or above the price it opened.
• A red candle is one that closes with a close price that is lower than the price it opened.
Swing Highs and Swing Lows
• A swing high is a green candle or series of consecutive green candles followed by a single red candle to complete the swing and form the peak.
• A swing low is a red candle or series of consecutive red candles followed by a single green candle to complete the swing and form the trough.
Peak and Trough Prices (Basic)
• The peak price of a complete swing high is the high price of either the red candle that completes the swing high or the high price of the preceding green candle, depending on which is higher.
• The trough price of a complete swing low is the low price of either the green candle that completes the swing low or the low price of the preceding red candle, depending on which is lower.
Historic Peaks and Troughs
The current, or most recent, peak and trough occurrences are referred to as occurrence zero. Previous peak and trough occurrences are referred to as historic and ordered numerically from right to left, with the most recent historic peak and trough occurrences being occurrence one.
Range
The range is simply the difference between the current peak and current trough prices, generally expressed in terms of points or pips.
Support and Resistance
• Support refers to a price level where the demand for an asset is strong enough to prevent the price from falling further.
• Resistance refers to a price level where the supply of an asset is strong enough to prevent the price from rising further.
Support and resistance levels are important because they can help traders identify where the price of an asset might pause or reverse its direction, offering potential entry and exit points. For example, a trader might look to buy an asset when it approaches a support level , with the expectation that the price will bounce back up. Alternatively, a trader might look to sell an asset when it approaches a resistance level , with the expectation that the price will drop back down.
It's important to note that support and resistance levels are not always relevant, and the price of an asset can also break through these levels and continue moving in the same direction.
Upper Trends
• A return line uptrend is formed when the current peak price is higher than the preceding peak price.
• A downtrend is formed when the current peak price is lower than the preceding peak price.
• A double-top is formed when the current peak price is equal to the preceding peak price.
Lower Trends
• An uptrend is formed when the current trough price is higher than the preceding trough price.
• A return line downtrend is formed when the current trough price is lower than the preceding trough price.
• A double-bottom is formed when the current trough price is equal to the preceding trough price.
Muti-Part Upper and Lower Trends
• A multi-part return line uptrend begins with the formation of a new return line uptrend, or higher peak, and continues until a new downtrend, or lower peak, completes the trend.
• A multi-part downtrend begins with the formation of a new downtrend, or lower peak, and continues until a new return line uptrend, or higher peak, completes the trend.
• A multi-part uptrend begins with the formation of a new uptrend, or higher trough, and continues until a new return line downtrend, or lower trough, completes the trend.
• A multi-part return line downtrend begins with the formation of a new return line downtrend, or lower trough, and continues until a new uptrend, or higher trough, completes the trend.
Double Trends
• A double uptrend is formed when the current trough price is higher than the preceding trough price and the current peak price is higher than the preceding peak price.
• A double downtrend is formed when the current peak price is lower than the preceding peak price and the current trough price is lower than the preceding trough price.
Muti-Part Double Trends
• A multi-part double uptrend begins with the formation of a new uptrend that proceeds a new return line uptrend, and continues until a new downtrend or return line downtrend ends the trend.
• A multi-part double downtrend begins with the formation of a new downtrend that proceeds a new return line downtrend, and continues until a new uptrend or return line uptrend ends the trend.
Wave Cycles
A wave cycle is here defined as a complete two-part move between a swing high and a swing low, or a swing low and a swing high. The first swing high or swing low will set the course for the sequence of wave cycles that follow; for example a chart that begins with a swing low will form its first complete wave cycle upon the formation of the first complete swing high and vice versa.
Figure 1.
Fibonacci Retracement and Extension Ratios
The Fibonacci sequence is a series of numbers in which each number is the sum of the two preceding numbers, starting with 0 and 1. For example 0 + 1 = 1, 1 + 1 = 2, 1 + 2 = 3, and so on. Ultimately, we could go on forever but the first few numbers in the sequence are as follows: 0 , 1, 1, 2, 3, 5, 8, 13, 21, 34, 55, 89, 144.
The extension ratios are calculated by dividing each number in the sequence by the number preceding it. For example 0/1 = 0, 1/1 = 1, 2/1 = 2, 3/2 = 1.5, 5/3 = 1.6666..., 8/5 = 1.6, 13/8 = 1.625, 21/13 = 1.6153..., 34/21 = 1.6190..., 55/34 = 1.6176..., 89/55 = 1.6181..., 144/89 = 1.6179..., and so on. The retracement ratios are calculated by inverting this process and dividing each number in the sequence by the number proceeding it. For example 0/1 = 0, 1/1 = 1, 1/2 = 0.5, 2/3 = 0.666..., 3/5 = 0.6, 5/8 = 0.625, 8/13 = 0.6153..., 13/21 = 0.6190..., 21/34 = 0.6176..., 34/55 = 0.6181..., 55/89 = 0.6179..., 89/144 = 0.6180..., and so on.
1.618 is considered to be the 'golden ratio', found in many natural phenomena such as the growth of seashells and the branching of trees. Some now speculate the universe oscillates at a frequency of 0,618 Hz, which could help to explain such phenomena, but this theory has yet to be proven.
Traders and analysts use Fibonacci retracement and extension indicators, consisting of horizontal lines representing different Fibonacci ratios, for identifying potential levels of support and resistance. Fibonacci ranges are typically drawn from left to right, with retracement levels representing ratios inside of the current range and extension levels representing ratios extended outside of the current range. If the current wave cycle ends on a swing low, the Fibonacci range is drawn from peak to trough. If the current wave cycle ends on a swing high the Fibonacci range is drawn from trough to peak.
Elliot Wave Patterns
Ralph Nelson Elliott, authored his book on Elliott wave theory titled "The Wave Principle" in 1938. In this book, Elliott presented his theory of market behaviour, which he believed reflected the natural laws that govern human behaviour.
The Elliott Wave Theory is based on the principle that waves have a tendency to unfold in a specific sequence of five waves in the direction of the trend, followed by three waves leading in the opposite direction. This pattern is called a 5-3 wave pattern and is the foundation of Elliott's theory.
The five waves in the direction of the trend are labelled 1, 2, 3, 4, and 5, while the three waves in the opposite direction are labelled A, B, and C. Waves 1, 3, and 5 are impulse waves, while waves 2 and 4 are corrective waves. Waves A and C are also corrective waves, while wave B is an impulse wave.
According to Elliott, the pattern of waves is fractal in nature, meaning that it occurs on all time frames, from the smallest to the largest.
In Elliott Wave Theory, the distance that waves move from each other depends on the specific market conditions and the amplitude of the waves involved. There is no fixed rule or limit for how far waves should move from each other, however, there are several guidelines to help identify and measure wave distances. One of the most common guidelines is the Fibonacci ratios, which can be used to describe the relationships between wave lengths. For example, Elliott identified that wave 3 is typically the strongest and longest wave, and it tends to be 1.618 times the length of wave 1. Meanwhile, wave 2 tends to retrace between 50% and 78.6% of wave 1, and wave 4 tends to retrace between 38.2% and 78.6% of wave 3.
In general, the patterns are quite rare and the distances that the waves move in relation to one another is subject to interpretation. For such reasons, I have simply included the ratios of the current ranges as ratios of the preceding ranges in the wave labels and it will, ultimately, be up to the user to decide whether or not the patterns qualify as valid.
█ FEATURES
Inputs
• Show Projections
• Pattern Color
• Label Color
• Extend Current Projection Lines
█ LIMITATIONS
All green and red candle calculations are based on differences between open and close prices, as such I have made no attempt to account for green candles that gap lower and close below the close price of the preceding candle, or red candles that gap higher and close above the close price of the preceding candle. This may cause some unexpected behaviour on some markets and timeframes. I can only recommend using 24-hour markets, if and where possible, as there are far fewer gaps and, generally, more data to work with.
Multi-Timeframe Recursive Zigzag [Trendoscope®]🎲 Welcome to the Advanced World of Zigzag Analysis
Embark on a journey through the most comprehensive and feature-rich Zigzag implementation you’ll ever encounter. Our Multi-Timeframe Recursive Zigzag Indicator is not just another tool; it's a groundbreaking advancement in technical analysis.
🎯 Key Features
Multi Time-Frame Support - One of the rare open-source Zigzag indicators with robust multi-timeframe capabilities, this feature sets our tool apart, enabling a broader and more dynamic market analysis.
Innovative Recursive Zigzag Algorithm - At its core is our unique Recursive Zigzag Algorithm, a pioneering development that powers multiple Zigzag levels, offering an intricate view of market movements. This proprietary algorithm is the backbone of our advanced pattern recognition indicators.
Sub-Waves and Micro-Waves Analysis - Dive deeper into market trends with our Sub-Waves and Micro-Waves feature. Sub-Waves reveal the interconnectedness of various Zigzag levels, while Micro-Waves offer insight into the fundamental waves at the base level.
Enhanced Indicator Tracking - Integrate and track your custom indicators or oscillators with the zigzag, capturing their values at each Zigzag level, complete with retracement ratios. This offers a comprehensive view of market dynamics.
Curved Zigzag Visualization - Experience a new way of visualizing market movements with our Curved Zigzag Display, employing Pine Script’s polyline feature for a more intuitive and visually appealing representation.
Built-in Customizable Alerts - Stay ahead with built-in alerts that can be customized via user input settings.
🎯 Practical Applications
Our Zigzag Indicator is designed with an understanding of its inherent nature - the last unconfirmed pivot that consistently repaints. This characteristic, while by design, directs its usage more towards pattern recognition rather than direct identification of market tops and bottoms. Here's how you can leverage the Zigzag Indicator:
Harmonic Patterns - Ideal for those familiar with harmonic patterns, this tool simplifies the manual spotting of complex XABCD, ABC, and ABCD patterns on charts.
Chart Patterns - Effortlessly identify patterns like Double/Triple Taps, Head and Shoulders, Inverse Head and Shoulders, and Cup and Handle patterns with enhanced clarity. Navigate through challenging patterns such as Triangles, Wedges, Flags, and Price Channels, where the Zigzag Indicator adds a layer of precision to your breakout strategy.
Elliott Wave Components - The indicator's detailed pivot highlighting aids in identifying key Elliott Wave components, enhancing your wave analysis and decision-making process.
🎲 Deep Dive into Indicator Features
Join us as we explore the intricate features of our indicator in more detail.
🎯 Multi-Timeframe Capability
Our indicator comes equipped with an input option for selecting the desired resolution. This unique feature allows users to view higher timeframe Zigzag patterns directly on their lower timeframe charts.
🎯 Recursive Multi Level Zigzag
Our advanced recursive approach creates multi-level Zigzags from lower-level data. For instance, the level 0 Zigzag forms the base, calculated from specified length and depth parameters, while level 1 Zigzag is derived using level 0 as its foundation, and so forth.
The indicator not only displays multiple Zigzag levels but also offers settings to emphasize specific levels for more detailed analysis.
🎯 Sub-Components and Micro-Components of Zigzag Wave
Sub-components within a Zigzag wave consist of the previous level's Zigzag pivots. Meanwhile, the micro-components are composed of the base level (Level 0) Zigzag pivots encapsulated within the wave.
🎯 Curved Zigzag
Experience a new perspective with our curved Zigzag display. This innovative feature utilizes the polyline curved option to automatically generate sinusoidal waves based on multiple points.
🎯 Indicator Tracking
Default indicators such as RSI, MFI, and OBV are included, alongside the ability to track one external indicator at each Zigzag pivot.
🎯 Customizable Alerts
Our indicator employs the `alert()` function for alert creation. While this means the absence of a customization text box in the alert settings, we've included a custom text area for users to create their own alert templates.
Template placeholders include:
{alertType} - type of alert. Either Confirmed Pivot Update or Last Pivot Update. Depends on the alert type selected in the inputs.
When Last Pivot Update type is selected, the alerts are triggered whenever there is a new Zigzag Pivot. This may also be a repaint of last unconfirmed pivot.
When Confirmed Pivot Update type is selected, the alerts are triggered only when a pivot becomes a confirmed pivot.
{level} - Zigzag level on which the alert is triggered.
{pivot} - Details of the last pivot or confirmed pivot including price, ratio, indicator values and ratios, subcomponent and micro-component pivots.
🎲 User Settings Overview
🎯 Zigzag and Generic Settings
This involves some generic zigzag calculation settings such as length, depth, and timeframe. And few display options such as theme, Highlight Level and Curved Zigzag. By default, zigzag calculation is done based on the latest real time bar. An option is provided to disable this and use only confirmed bars for the calculation.
Indicator Settings
Allows users to track one or more oscillators or volume indicators. Option to add any indicator via external input is provided.
🎯 Alert Settings
Has input fields required to select and customize alerts.
NEoWave Chart Free VersionAn automated wave chart for NEoWave wave analysis. This is an automated wave chart plotter that help you to find the current psychological trend and forecast the next one. This Indicator uses the concept of plotting wave charts as per the NeoWave method invented by Glenn Neely in 1990 in the “Mastering Elliott Wave” book. NEoWave is a advanced version of elliott wave theory, which solve the lots of drawback's and issues' of elliott wave theory.
The Logic and Concept used in Indicator
This indictor uses the logic of plotting wave chart as discussed in “Mastering Elliott Wave” book, According to “Mastering Elliott Wave” book to draw a wave chart draw a line from high to low or low to high in order that they occurred, and this indicator plot the line accurately from high to low or low to high in order they occurred.
Some Important Features
1. This indicator can draw wave chart from 5 Seconds to 5 Year or use any custom timeframe of your choice.
2. Use any timeframe wave chart on any timeframe cash data, like use monthly cash data to draw 2.5 years or 5 years wave chart.
3. Do the easy back testing with easy drag tool.
4. Customize wave chart settings based on your requirement.
5. Wave chart will be plotted on any type of charts like candlestick or bar chart.
6. Custom settings to hide other charts, like you can hide bar or candlestick chart, while using wave analysis.
7. Realtime plotting of wave chart from 5 seconds to 5 year.
Features to be added in future update
1. Show Monowave Counts.
2. Show Complexity levels.
3. Show Price and Time.
4. Show Starting point of patterns.
How to use this wave chart?
1. Use the log scale on wave chart. Use Alt + L to use logarithmic scale on chart.
2. Use log Fibonacci on wave chart, just open the settings of Fibonacci channel and check on "Fib channel based on log scale"
3. Find the correct starting point to mark the neowave patterns.
4. Apply the neowave rules as discussed in “Mastering Elliott Wave” book and forecast the market.
Note
If you want to check Daily or any higher timeframe wave chart use cash chart and if you want to check any other timeframe from 5 seconds to any intraday timeframe then use future's data as suggested by Mr. Glen Neely.
NEoWave Cash Data Pro by ArshiaRahimiNEoWave Cash Data Pro by ArshiaRahimi (Cash Data Display Indicator)
By using this indicator, you can see cash data in the Trading View Charts. Cash Data is NEoWave approach data and is used for wave counting of this type. Analysts of Elliot Wave approach can also benefit from this data.
In Cash Data, the state of high and low of the candles or in other words their chronology will be determined and the path of price movement will be indicated clearly.
You will have no limit to view cash data using this indicator and you will be able to view the cash data of any part of the chart you would like with a 100 percent precision. By default, Indicator shows MonoWave 500 in the ending part of the chart but in order to view the cash data of other parts, you only need to activate the option “ Custom Start” and by adjusting the date of drawing the cash data, you can make the cash data of the part you want to be displayed.
The cash data of each chart is displayed in 20 different timeframes including:
• Annual timeframe
• Monthly, 3month, 6 month timeframe
• weekly, 2 week timeframe
• daily, 2 day, 3 day timeframe
• 6 hour, 12 hour timeframe
• 4 hour, 8 hour timeframe
• 1 hour, 2 hour, 3 hour timeframe
• 5 minute, 10 minute, 15 minute, 30 minute timeframe
Other features are also incorporated in this indicator including:
• determination of cash data thickness
• determination of ascending MonoWaves color
• determination of descending MonoWaves color
• determination of connecting MonoWaves color
• displaying the MonoWaves which might be in question (when high and low occur in a candle)
• determination of the questionable MonoWaves color
• determination of the date and starting time of cash data drawing
• Drawing of the last cash data live and the possibility of determining its drawing delay.
• Displaying time slot separator lines
• Determination of separator lines color and transparency
• Displaying Fade Chart behind cash data
• determination of fade chart candles color and transparency
• displaying information table of cash data in the corner of the chart which include displaying time frame of the cash data and the number of MonoWaves that exist in the chart.
This indicator is designed by Arshia Rahimi of Iran NEoWave Institute. You can be in touch through “ArshiaRahimi” ID.
The Indicator will continuously receive its new updates. after publishing, each update will replace the previous version by trading view.
TopTenAlg0 1. Sentiment & MomentumEN: Mum Sentiment & Momentum is an indicator that measures the psychological thresholds of the O candle and the rate of change of the price (Rate of Chance / Bar Momentum). Each price action is a separate action with flexibility. Mum Sentiment & Momentum shows you the speed and direction of this price action. If sentiment and momentum are green, the rise will continue, if it is much above momentum sentiment, it indicates the presence of an enthusiastic psychological movement. If sentiment and momentum are red, a correction may come and a decrease is expected, and if momentum is well below sentiment, there is an enthusiastic sale.
This algorithm is prepared with @Top10Algo ... Optimization periods
TR: Mum Sentiment & Momentum her barda ayrı ayrı olmak üzere O muma ait psikolojik eşikleri ve fiyatın değişim hızını ( Rate of Chance / Mum Momentumu ) ölçen bir göstergedir. Her bir fiyat hareketi esnekliği olan ayrı birer aksiyondur. Mum Sentiment & Momentum size bu fiyat aksiyonunun hızını ve yönünün ne olduğunu gösterir. Eğer sentiment ve momentum yeşil ise yükselişin devam edeceğini, momentum sentiment’ in çok üstünde ise coşkulu bir psikolojik hareketin varlığını gösterir. Eğer sentiment ve momentum kırmızı ise düzeltme gelebileceğini ve düşüş beklenildiğini, momentum ise sentiment’in çok altında ise coşkulu bir satış’ ın olduğunu gösterir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Periyotlar optimize edilmiştir.
TopTenAlgo 3. Cursor Trend with SQZ MOM(Without Volume Ind.)EN: Indicator Trend is a momentum algorithm that measures the direction of the trend. It recalculates the Volume Weighted Moving Average and Tilson functions included with a certain frequency value according to the closing price and this trend helps us determine trend times. The size of the frequency correction motion. It Looks at the Logarithmic to functions. Is the zigzag of argument correction? otherwise it is a shortcut for a flat / flat correction . You can use the minus frequency value minus in zigzags, while it is handled with lower frequencies in flat or flat corrections . For symbols for which the Volume Indicator cannot be read.
This algorithm is prepared with @Top10Algo ... Improvements have been made regarding short periods.
TR: Gösterge Trend, trendin yönünü ölçen bir momentum algoritmasıdır. İçeriğinde bulunan Volume Weighted Moving Average ve Tilson fonksiyonlarını belli bir frekans değeri ile kapanış fiyatına göre yeniden hesaplar ve bu sayede trend değişim zamanlarını belirlememize yardımcı olur. Frekans değeri düzeltme hareketinin boyutuna göre değişiklik gösterir. Fonsiyonlara Logaritmik bakar.Frekans değerini belirlememizde yardımcı olan argüman düzeltmenin zigzag mı? yoksa yassı/flat bir düzeltmemi olacağını kestirmektir. Zigzaglarda frekans değeri eksi yönde daha fazla büyürken yassı yada flat düzeltmelerde daha düşük frekanslarla ele alınır. Hacim Göstergesinin okunamadığı semboller içindir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim. Kısa Periyotlar için iyileştirmeler yapıldı...
TopTenAlgo 3. Cursor Trend with SQZ MOM (Include Volume Ind.)EN: Indicator Trend is a momentum algorithm that measures the direction of the trend. It recalculates the Volume Weighted Moving Average and Tilson functions included with a certain frequency value according to the closing price and this trend helps us determine trend times. The size of the frequency correction motion. It Looks at the Logarithmic to functions. Is the zigzag of argument correction? otherwise it is a shortcut for a flat / flat correction . You can use the minus frequency value minus in zigzags, while it is handled with lower frequencies in flat or flat corrections .
This algorithm is prepared with @Top10Algo ... Improvements have been made regarding short periods.
TR: Gösterge Trend, trendin yönünü ölçen bir momentum algoritmasıdır. İçeriğinde bulunan Volume Weighted Moving Average ve Tilson fonksiyonlarını belli bir frekans değeri ile kapanış fiyatına göre yeniden hesaplar ve bu sayede trend değişim zamanlarını belirlememize yardımcı olur. Frekans değeri düzeltme hareketinin boyutuna göre değişiklik gösterir. Fonsiyonlara Logaritmik bakar.Frekans değerini belirlememizde yardımcı olan argüman düzeltmenin zigzag mı? yoksa yassı/flat bir düzeltmemi olacağını kestirmektir. Zigzaglarda frekans değeri eksi yönde daha fazla büyürken yassı yada flat düzeltmelerde daha düşük frekanslarla ele alınır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim. Kısa Periyotlar için iyileştirmeler yapıldı...
TopTenAlgo 4. Trend Velocity & Quality with Missmatch AlertEN: The Trend Velocity & Quality oscillator, in addition to a classic Rsi indicator, precisely measures the speed and quality of the trend. Rsi is actually a tense indicator that makes technical analysis difficult. For this reason, it makes it difficult for you to get false signals and trade the trend by not being able to analyze the direction of the trend clearly. The Rsi Trend Velocity & Quality oscillator produces more meaningful thresholds with the functions it contains, showing tighter postures that are not tense. It also causes Rsi to move faster without fear of distortion due to excessive noise, causing you to receive signals earlier. In short, it is a smoother oscillator that produces tighter postures, better thresholds, a faster Rsi and early signals.
This algorithm is prepared with @Top10Algo ... Add Mismatch Alerts
TR: Trend Velocity & Quality osilatörü klasik bir Rsi indikatörüne ek olarak trendin hızını ve kalitesini hassas bir biçimde ölçer. Rsi aslında teknik analizi zorlaştıran gergin bir indikatördür. Bu sebeple yanlış sinyaller almanıza ve trendin yönünü net analiz edememenize sebep olarak trade etmenizi zorlaştırır. Rsi Trend Velocity & Quality osilatörü içerdiği fonksiyonlar ile gergin olmayan daha sıkı duruşlar sergileyerek daha anlamlı eşikler üretir. Ayrıca aşırı gürültüye bağlı bozulma korkusu olmadan Rsi’ ın daha hızlı hareket etmesine sebep olarak daha erken sinyal almanıza vesile olur. Yani özetle daha sıkı duruşlar, daha iyi eşikler, daha hızlı bir Rsi ve erken sinyaller üreten pürüzsüz bir osilatördür.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Uyumsuzluk Uyarıları ve Alarmları Eklendi...
TopTenAlgo 5. Missmatch OscillatorEN: The Incompatibility Oscillator is an indicator used to detect trend turns and to catch mismatches in rising or falling waves. The Incompatibility Oscillator measures the mismatch between artificial pricing and actual price with a trend in the market compared to a Center Of Gravity . When designing the oscillator, my goal was to catch positive or negative mismatches as in RSI . Because most of the RSI incompatibilities are not working or running late, especially on short term charts. My goal was to eliminate the illusion here. I do not use any predefined indicators ( RSI etc.) in the Incompatibility Osilautre. It consists of a multiline mathematical function that scans the oscillator price movement in 100 steps. The aim here is to measure the price and the speed of the trend at the same time and catch the mismatches at the end of the trend.
This algorithm is prepared with @Top10Algo ...
TR: Uyumsuzluk Osilatörü trend dönüşlerini tespit etmek için ve yükseliş yada düşüş dalgalarındaki uyumsuzlukları yakalamak için kullanılan bir göstergedir. Uyumsuzluk Osilatörü piyasada trendle birlikte oluşa yapay fiyatlama ile gerçek fiyat arasındaki uyumsuzluğu bir ağırlık merkezine göre(Center Of Gravity ) ölçer. Osilatörü tasarlarken amacım RSI’ daki gibi pozitif yada negatif uyumsuzlukları yakalamaktı. Çünkü RSI uyumsuzlukların çoğu özelliklede kısa vade grafiklerde ya çalışmıyor yada geç çalışıyor. Amacım burdaki yanılgıyı ortadan kaldırmaktı. Uyumsuzluk Osilaötründe herhangi bir ön tanımlı gösterge( RSI vs.) kullanmıyorum. Osilatör fiyat hareketini 100 adımda tarayan bir multiline matemetiksel fonksiyondan oluşuyor. Burada amaç fiyat ile trendin hızını aynı anda ölçmek ve trend sonlarındaki uyumsuzlukları yakalamaktır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 6. Trading IndexEN: Trend & Trading Index Oscillator is an indicator developed using Stochastic which makes your day trading easier. Is it to measure price swings with a more sensitive and close to zero error margin, and is the price movement and the direction of the trend compatible? is the ideal guide to look at. The oscillator consists of a 5 step system. Depressions below -0.85 are measured to determine the intake region (Lowlander 2) at the bottom of the step. At the top of the step, enthusiastic movements above 0.90 are detected to determine the sales region(Highlander 2). The buffer zone is the BALANCE "0" zone and its highlander "0. 40 zone close to enthusiasm, and the Lowlander "-0.50" zone close to depression.
This algorithm is prepared with @Top10Algo ... Study modify...
TR: Trend & Trading Index Osiatörü Stochastic kullanırak geliştirilen ve gün içi al satlarınızı kolaylaştıran bir göstergedir. Fiyat salınımlarını daha hassas ve sıfıra yakın bir hatalama payıyla ölçmek ve fiyat hareketi ile trendin yönü uyumlu mu? bakmak için en ideal yol göstericidir. Osilatör 5 basamaklı bir sistemden oluşmaktadır. Basamağın en altında alım bögesini belirlemek için -0.85 değerinin altındaki depresyonlar(Lowlander 2) ölçülür. Basamağın en üstünde ise satış bölgesini belirlemek için 0.90 değerinin üstündeki coşkulu hareketler (Highlander 2) tespit edilir. Ara bölge ise BALANCE “0” bögesi ve onun coşkuya yakın Highlander 1 “0.40" bölgesi ile depresyona yakın Lowlander 1 “-0.50" bölgesi yer alır.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Çalışma Prensipleri modifiye edildi...
TopTenAlgo 7. Linear Trend Tracking (Without Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening. For symbols for which the Volume Indicator cannot be read.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur. Hacim Göstergesinin okunamadığı semboller içindir.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 7. Linear Trend Tracking (Include Volume & Coloring)EN:
Dogrusal Trend Takipcisi is used in conjunction with Gosterge Trend. Both indicators are for approval of each other. While the Indicator looks at Logarithmic to prices, It looks at Linear. Although its mathematical function is stuck between two trend lines like Gösterge Trend, the Dogrusal Trend Takipcisi can also be used as the main histogram, the absolute value of the difference between the trend and the down trend line .
If the uptrend line is larger than the downtrend, histogram bars are light green or dark green areas. When the bullish trend line now crosses the down trend line , the bar is dark green. When the up trend line is larger than the down trend line and the up trend line increases, the bars also become dark green. This tendency starts to keep getting stronger. If the bullish trend line is larger than the bearish trend line but decreases, the bars are light green. This is when the bullish trend loses strength, So, Uptrend is weakening.
If the downtrend line is larger than the bullish trend line , a negative occur, and the bars become red or light red. If the bearish trend line has exceeded the bullish trend line or the value is increasing, the bar is in red. If the bearish trend line is larger than the bullish trend line but the value is decreasing, the bars are light red. This comes when the downward trend is losing power. So, Downtrend is weakening.
This algorithm is prepared with @Top10Algo ...
TR: Doğrusal Trend Takipçisi Gösterge Trendle ile beraber kullanılır. Her iki göstergede birbirinin onayını almak içindir. Gösterge Trend fiyatlara logaritmik bakarken, Doğrusal Tren Takipçisi Linear bakar. Matematiksel fonsiyonu Gösterge Trend gibi iki trend çizgisi arasına sıkışmış olsada Doğrusal Trend Takipçisi ayrıca ana histogram olarak gösterilen yukarı trend ve aşağı trend çizgisi arasındaki farkın mutlak değerini linear olarak hesaplayarak momentumun gücünü ölçer ve size zayıflayan trendleri haber eder.gösterir.
Yukarı trend çizgisi aşağı trendden büyükse (bu nedenle pozitif hareketi gösterir), histogram çubukları açık yeşil veya koyu yeşil olacaktır. Artış trendi çizgisi şimdi aşağı trend çizgisini geçtiğinde, çubuk koyu yeşil olacaktır. Yukarı trend çizgisi aşağı trend çizgisinden daha büyük olduğunda ve yukarı trend çizgisi arttığında çubuklar da koyu yeşil olur. Bu eğilimin güçlenmeye devam ettiği anlamına geliyor. Yükseliş trendi çizgisi düşüş trendi çizgisinden büyükse ancak azalıyorsa, çubuklar açık yeşil olacaktır. Bu yükseliş eğiliminin güç kaybettiği anlamına gelir.Yani yükseliş trendi zayıflıyordur.
Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, olumsuz bir eğilim oluşur ve çubuklar kırmızı veya açık kırmızı olur. Düşüş trendi çizgisi yükseliş trendi çizgisini aştıysa veya değer artıyorsa, çubuk kırmızı olacaktır. Düşüş trendi çizgisi yükseliş trendi çizgisinden büyükse, ancak değer azalıyorsa, çubuklar açık kırmızı olacaktır. Bu düşüş eğiliminin güç kaybettiği anlamına gelir. Yani düşüş trendi zayıflıyordur.
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
TopTenAlgo 10. SQZMOM_LSvwMA with Bar ColorEN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ...
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim...
Bu algoritma @Top10Algo ile beraber hazırlanmıştır... Kodlamadaki katkılarından ve yol göstericiliğinden dolayı teşekkürü bir borç bilirim.
TopTenAlgo 10. SQZMOM_LSvwMA with Bar Color (Not Based Volume)EN: This Algorithm is a derivative of John Carter's "TTM Squeeze" volatility indicator. Many strategists have taken the indicator on Tradingview with simple moving averages and have looked at the biggest mistake only by dealing with squeeze and exit processes to squeeze. But I used the algorithm to determine where the markets would actually explode. For example, instead of using SMAs , I tested them on the Linear Regression Curve using Volume Weighted Moving Averages and Hull MAs. This gave me the opportunity to develop a more responsive algorithm and identify where the actual explosion would occur. The Gray Circles in the midline show that the market is entering a new jam (in the Bollinger Bands and Keltner Channel). This means low volatility , the market prepares itself for an explosive move (up or down). White Circles mean that it is about to get out of the jam. The Blue Circles, which no one can calculate, now inform that the exit is no longer jammed and that the explosion has taken place.
Mr. Carter recommends that you wait until the first gray after a gray cross and take a position in the momentum direction (for example, if the momentum value is above zero, relax). Exit position when the momentum changes (increase or decrease, this is indicated by a color change). In this algorithm, I tried to achieve good entry points using an additional indicator such as ADX and WaveTrend. To draw the histogram, I used a different method based on Linear Regression . Mr.Carter uses a simple momentum indicator .
In summary, this algorithm is a strict algorithm in which additional 4-5 indicators are blended. Conveniences for Everyone ... (For Symbols that cannot be read on the Volume Indicator)
This algorithm is prepared with @Top10Algo ...
TR: Bu Algoritma John Carter'ın "TTM Squeeze" volatilite göstergesinin bir türevidir. Bir çok stratejist Tradingview' de gösterge' yi basit hareketli ortalamalarla ele almış ve en büyük hatayı sadece sıkışma ve sıkışmadan çıkış süreçlerini ele alarak bakmışlardır. Fakat ben algoritmayı piyasaların asıl patlama yapacağı yeri tespit etmek için kullandım. Örneğin SMA' ları kullanmak yerine Hacim Ağırlıklı Hareketli Ortalamaları ve Hull MA' ları kullanarak onları Linerar Regresyon Eğrisinde stress testine tabi tuttum. Buda bana daha duyarlı bir algoritma geliştirmem ve asıl patlamanın olacağı yerleri tespit etmem için fırsat verdi. Orta hattaki Gri Daireler, piyasanın yeni bir sıkışmaya girdiğini gösteriyor ( Bollinger Bantları ve Keltner Kanalı'nda). Bu, düşük volatilite anlamına gelir, piyasa kendisini patlayıcı bir harekete hazırlar (yukarı veya aşağı). Beyaz Daireler ise sıkışmadan çıkmak üzere olduğu anlamına gelir. Hiç kimsenin hesap edemediği Mavi Daireler ise artık sıkışmadan çıkıldığını ve patlamanın gerçekleştiğini haber verir.
Mr.Carter, gri bir çarpı işaretinden sonra ilk griye kadar beklemenizi ve momentum yönünde bir pozisyon almanızı önerir (örneğin, momentum değeri sıfırın üstünde ise, rahat olun). Momentum değiştiğinde pozisyondan çıkın (artırma veya azaltma, bunu o bir renk değişikliği ile belirtilir). Bu algoritmada ben, ADX ve WaveTrend gibi ek bir gösterge kullanarak iyi giriş noktalarıelde etmeye çalıştım. Histogramı çizmek için ise Linear Regresyon tabanlı farklı bir yöntem kullandım. Mr.Carter basit bir momentum göstergesi kullanır.
Özetle bu algoritma ek 4-5 göstergenin harmanlandığı sıkı bir algoritmadır. Herkese Kolaylıklar dilerim... (Hacim Göstergesi okunamayan Semboller için)
Bu algoritma @Top10Algo ile beraber hazırlanmıştır...
Ranked TickThe NYSE TICK is, very simply, the number of stocks ticking down or up at any given time. It is, therefore, an internal indication of buying and selling pressure. By itself, it can be difficult to interpret. This “Ranked Tick” makes the TICK an oscillator that varies from 0 to 100. This indicator can be of great help in determining when the market is overbought or oversold.
This oscillator is a percentile ranking of the high + low of the current bar of the TICK compared to the recent values of the same sum over a certain number of bars, which the user can set as an input, the “Rank Length”. This indicator can be of great help in determining when the market is overbought or oversold.
It was conceived by SergioT for TradeStation, and he was gracious enough to share his TradeStation script with all the traders at elliottwavetrader.net. I transcribed it into Pine Script so that everyone at TradingView could also have it.
Trend Velocity & Quality
TR: Trend Velocity & Quality osilatörü klasik bir Rsi indikatörüne ek olarak trendin hızını ve kalitesini hassas bir biçimde ölçer. Rsi aslında teknik analizi zorlaştıran gergin bir indikatördür. Bu sebeple yanlış sinyaller almanıza ve trendin yönünü net analiz edememenize sebep olarak trade etmenizi zorlaştırır. Rsi Trend Velocity & Quality osilatörü içerdiği fonksiyonlar ile gergin olmayan daha sıkı duruşlar sergileyerek daha anlamlı eşikler üretir. Ayrıca aşırı gürültüye bağlı bozulma korkusu olmadan Rsi’ dan daha hızlı hareket ederek daha erken sinyal almanıza vesile olur. Yani özetle daha sıkı duruşlar, daha iyi eşikler, daha hızlı bir momentum göstergesi ve erken sinyaller üreten pürüzsüz bir osilatördür. Osilatörle ilgili daha fazla bilgi edinmek ve nasıl kullanıldığını öğrenmek için lütfen youtube videosunu izleyin.
Matematiksel Fonksiyon ;
Önce periyotluk Tipik Fiyat (Typical Price) Hesaplanır ve sonra Tipik Fiyat 100 ile çarpılırak Gecikmiş Tipik Fiyat bulunur ve bir önceki Gecikmiş Tipik Fiyat hesaplanır. Ardından bir önceki Gecikmiş Tipik Fiyattan mevcut Gecikmiş Tipik Fiyat çıkarılır ;
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Typical Price =
Latency TPC = 100 x Typical Price
Latency TPC = 100 x Typical Price
LagTP = Latency TPC – Latency TPC
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Daha sonra Laguerre Filtresi uygulanan fiyat için bir periyot belirlenirek hem Kümülatif Periyot hemde Multiline Fonksiyon kullanılarak iki farklı Kümülatif Tipik Fiyat hesaplanır. Bu genellikle saatlik ve altındaki grafikleri için 5 yada 8’ dir.
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Lenght = 8
Lenght C = 3 / (Lenght + 2)
Cumulative L = 1 - Lenght C
Cumulative TP = Cumulative L x Cumulative TP + Lenght C x LagTP
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En sonundada kümülatif fiyatlarla gecikmiş Tipik Fiyatlar kullanılarak Kümülatif RSI ve RSI T-V&Q hesaplanır.
Cumulative RSI = Lenght C x Cumulative TP + Cumulative L x Cumulative RSI
RSI T-V&Q = Cumulative TP x 1.618 - Cumulative RSI x 0.618
EN: The Trend Velocity & Quality oscillator precisely measures the speed and quality of the trend, in addition to a classic Rsi indicator. Rsi is actually a tense indicator that makes technical analysis difficult. For this reason, it makes it difficult for you to get false signals and trade the trend by not being able to analyze the direction of the trend clearly. Rsi Trend Velocity & Quality oscillator produces more meaningful thresholds with the functions it contains, showing tighter postures that are not tense. It also allows you to get signals earlier by moving faster than Rsi without fear of distortion due to excessive noise. In other words, it is a smooth oscillator that produces tighter postures, better thresholds, a faster momentum indicator and early signals. To learn more about the oscillator and how to use it, please watch the youtube tuttorial video.
Mathematical Function;
The Periodic Price is calculated first, and then the Typical Price is multiplied by 100 to find the Delayed Typical Price, and the previous Delayed Typical Price is calculated. The current Delayed Typical Price is then subtracted from the previous Delayed Typical Price;
-----------------------------------------
Typical Price =
Latency TPC = 100 x Typical Price
Latency TPC = 100 x Typical Price
LagTP = Latency TPC - Latency TPC
-----------------------------------------
Then, two different Cumulative Typical Prices are calculated by using both the Cumulative Period and the Multiline Function by determining a period for the price applied to the Laguerre Filter. This is usually 5 or 8 for hourly and below charts.
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Lenght = 8
Lenght C = 3 / (Lenght + 2)
Cumulative L = 1 - Lenght C
Cumulative TP = Cumulative L x Cumulative TP + Lenght C x LagTP
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Finally, Cumulative RSI and RSI T-V & Q are calculated using delayed Typical Prices with cumulative prices.
Cumulative RSI = Lenght C x Cumulative TP + Cumulative L x Cumulative RSI
RSI T-V & Q = Cumulative TP x 1.618 - Cumulative RSI x 0.618
RSI or MACD + Tendance Kijun LTThis script is an update of my previous script "RSI + Tendance Kijun LT", I will not explain it here, if needed have a look at it :
I made a new script (and not update the previous one) because some people may not be interested by MACD and for performance perspective they may be interested to only have RSI (since you can't have both but only switch from RSI and MACD)
So now, you can choose to have MACD instead of RSI with long term trend based on Kijun still dispaying. Why am I adding MACD even if most of the time I never use it ? It's for Elliott Wave purpose and principaly for triangle. With MACD, you can easily identify if you're forming a triangle or not in an Elliott Wave perspective (I'm not speaking about chartist triangle).
As an example, you can see ETHUSD in daily and something looking similar to a triangle. We can trade it with many possibility (breakout, support/resistance) but I'm interested in to identify if it's a triangle with an EW count (not chartist) and if it's the case I will consider different scenario (triangle are most of the time wave 4 so we could have one more push leg down on this ticker)
So, in my daytrading I'm still always using RSI except when I want to verify if we have a triangle :) and I need to switch to MACD for that to check the following things :
- am I able to draw a triangle as the price did
- may I able to join A to C and B to D and still have a triangle on MACD
- If Yes, I will take care of E point because it's the start of the 5th wave (E point may be a truncated wave of the triangle and not join the line of points A to C)
By adding this in my strategy, I can anticipate different scenarios and invalidate them if I didn't get the triangle on MACD (by having a D point on MACD not respecting the triangle form). Don't forget, we can decide to don't trade a triangle as an EW count but still trade it as a chartist form (breakout or anything else).
In summary for the next days/weeks, on ETHUSD in daily time unit I will therefore wait and see if the price goes up to point D by being validated on the MACD. If so, then I will look at the possible formation of point E around prices 141$ and 156$, if at these prices I have short signals then it will be interesting to go back in short position
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Ce script est une mise à jour de mon script précédent "RSI + Tendance Kijun LT", je ne l'expliquerai pas ici, si besoin jetez-y un oeil :
J'ai fait un nouveau script (sans forcer la mise à jour du précédent) parce que certaines personnes peuvent ne pas être intéressées par MACD et pour des raisons de performance, elles peuvent être intéressées à n'avoir que RSI (puisque vous ne pouvez pas avoir les deux en même temps mais seulement passer de RSI et MACD)
Donc maintenant, vous pouvez choisir d'avoir MACD au lieu de RSI avec une tendance à long terme basée sur Kijun qui s'affiche toujours. Pourquoi est-ce que j'ajoute MACD même si la plupart du temps je ne l'utilise jamais ? C'est pour Elliott Wave et surtout pour le triangle. Avec MACD, vous pouvez facilement identifier si vous formez un triangle ou non dans une perspective Elliott Wave (je ne parle pas de triangle chartiste).
Par exemple, vous pouvez voir que sur ETHUSD en unité de temps journalière nous avons quelque chose qui ressemble à un triangle. Nous pouvons faire des trade de pleins de manières différentes (cassure d'oblique, support/résistance) mais je suis intéressé d'identifier si c'est un triangle avec un compte EW (pas chartiste) et si c'est le cas, je vais envisager un scénario différent (sachant que les triangles sont la plupart du temps la vague 4 et donc envisager à la sortie une dernière poussée baissière type vague 5 sur ETHUSD)
Donc, dans mon daytrading, j'utilise toujours RSI sauf quand je veux vérifier si nous avons un triangle :) et j'ai besoin de passer à MACD afin de vérifier les éléments suivantes :
- Suis-je capable de dessiner un triangle comme le prix le dessine
- puis-je joindre A à C et B à D et toujours avoir un triangle sur MACD ?
- Si oui, je m'occupe du point E car c'est le début de la 5ème vague (le point E peut être une onde tronquée du triangle et ne pas joindre la ligne des points A à C).
En ajoutant cela dans ma stratégie, je peux anticiper différents scénarios et les invalider si je n'ai pas obtenu le triangle sur MACD (en ayant un point D sur MACD ne respectant pas la forme du triangle). N'oubliez pas, nous pouvons décider de ne pas le trade comme un triangle d'un décompte EW mais de le trade simplement comme un triangle chartiste (breakout ou autre chose).
En résumé pour les prochains jours/semaines, sur ETHUSD en unité de temps journalière je vais donc patienter et voir si le prix va jusqu'au point D en étant validé sur le MACD. Si oui, alors je regarderai l'éventuelle formation du point E autour des prix 141$ et 156$, si à ces prix j'ai des signaux vendeurs alors il sera intéressant de rentrer en position short
qEMA 3 LineMy scenario consists of 3 ema lines which are ema 34, ema89, ema 144.
3 ema lines are important in elliott waves:
- A complete elliott wave of 144 waves
- An eliott wave has 89 waves
- In wave with wave, in wave 89 again wave 34 waves
I used to find the waves in elliott, know where the cycle elliott will end up (when the price hit ema144)
Risk-Adjusted Momentum Oscillator# Risk-Adjusted Momentum Oscillator (RAMO): Momentum Analysis with Integrated Risk Assessment
## 1. Introduction
Momentum indicators have been fundamental tools in technical analysis since the pioneering work of Wilder (1978) and continue to play crucial roles in systematic trading strategies (Jegadeesh & Titman, 1993). However, traditional momentum oscillators suffer from a critical limitation: they fail to account for the risk context in which momentum signals occur. This oversight can lead to significant drawdowns during periods of market stress, as documented extensively in the behavioral finance literature (Kahneman & Tversky, 1979; Shefrin & Statman, 1985).
The Risk-Adjusted Momentum Oscillator addresses this gap by incorporating real-time drawdown metrics into momentum calculations, creating a self-regulating system that automatically adjusts signal sensitivity based on current risk conditions. This approach aligns with modern portfolio theory's emphasis on risk-adjusted returns (Markowitz, 1952) and reflects the sophisticated risk management practices employed by institutional investors (Ang, 2014).
## 2. Theoretical Foundation
### 2.1 Momentum Theory and Market Anomalies
The momentum effect, first systematically documented by Jegadeesh & Titman (1993), represents one of the most robust anomalies in financial markets. Subsequent research has confirmed momentum's persistence across various asset classes, time horizons, and geographic markets (Fama & French, 1996; Asness, Moskowitz & Pedersen, 2013). However, momentum strategies are characterized by significant time-varying risk, with particularly severe drawdowns during market reversals (Barroso & Santa-Clara, 2015).
### 2.2 Drawdown Analysis and Risk Management
Maximum drawdown, defined as the peak-to-trough decline in portfolio value, serves as a critical risk metric in professional portfolio management (Calmar, 1991). Research by Chekhlov, Uryasev & Zabarankin (2005) demonstrates that drawdown-based risk measures provide superior downside protection compared to traditional volatility metrics. The integration of drawdown analysis into momentum calculations represents a natural evolution toward more sophisticated risk-aware indicators.
### 2.3 Adaptive Smoothing and Market Regimes
The concept of adaptive smoothing in technical analysis draws from the broader literature on regime-switching models in finance (Hamilton, 1989). Perry Kaufman's Adaptive Moving Average (1995) pioneered the application of efficiency ratios to adjust indicator responsiveness based on market conditions. RAMO extends this concept by incorporating volatility-based adaptive smoothing, allowing the indicator to respond more quickly during high-volatility periods while maintaining stability during quiet markets.
## 3. Methodology
### 3.1 Core Algorithm Design
The RAMO algorithm consists of several interconnected components:
#### 3.1.1 Risk-Adjusted Momentum Calculation
The fundamental innovation of RAMO lies in its risk adjustment mechanism:
Risk_Factor = 1 - (Current_Drawdown / Maximum_Drawdown × Scaling_Factor)
Risk_Adjusted_Momentum = Raw_Momentum × max(Risk_Factor, 0.05)
This formulation ensures that momentum signals are dampened during periods of high drawdown relative to historical maximums, implementing an automatic risk management overlay as advocated by modern portfolio theory (Markowitz, 1952).
#### 3.1.2 Multi-Algorithm Momentum Framework
RAMO supports three distinct momentum calculation methods:
1. Rate of Change: Traditional percentage-based momentum (Pring, 2002)
2. Price Momentum: Absolute price differences
3. Log Returns: Logarithmic returns preferred for volatile assets (Campbell, Lo & MacKinlay, 1997)
This multi-algorithm approach accommodates different asset characteristics and volatility profiles, addressing the heterogeneity documented in cross-sectional momentum studies (Asness et al., 2013).
### 3.2 Leading Indicator Components
#### 3.2.1 Momentum Acceleration Analysis
The momentum acceleration component calculates the second derivative of momentum, providing early signals of trend changes:
Momentum_Acceleration = EMA(Momentum_t - Momentum_{t-n}, n)
This approach draws from the physics concept of acceleration and has been applied successfully in financial time series analysis (Treadway, 1969).
#### 3.2.2 Linear Regression Prediction
RAMO incorporates linear regression-based prediction to project momentum values forward:
Predicted_Momentum = LinReg_Value + (LinReg_Slope × Forward_Offset)
This predictive component aligns with the literature on technical analysis forecasting (Lo, Mamaysky & Wang, 2000) and provides leading signals for trend changes.
#### 3.2.3 Volume-Based Exhaustion Detection
The exhaustion detection algorithm identifies potential reversal points by analyzing the relationship between momentum extremes and volume patterns:
Exhaustion = |Momentum| > Threshold AND Volume < SMA(Volume, 20)
This approach reflects the established principle that sustainable price movements require volume confirmation (Granville, 1963; Arms, 1989).
### 3.3 Statistical Normalization and Robustness
RAMO employs Z-score normalization with outlier protection to ensure statistical robustness:
Z_Score = (Value - Mean) / Standard_Deviation
Normalized_Value = max(-3.5, min(3.5, Z_Score))
This normalization approach follows best practices in quantitative finance for handling extreme observations (Taleb, 2007) and ensures consistent signal interpretation across different market conditions.
### 3.4 Adaptive Threshold Calculation
Dynamic thresholds are calculated using Bollinger Band methodology (Bollinger, 1992):
Upper_Threshold = Mean + (Multiplier × Standard_Deviation)
Lower_Threshold = Mean - (Multiplier × Standard_Deviation)
This adaptive approach ensures that signal thresholds adjust to changing market volatility, addressing the critique of fixed thresholds in technical analysis (Taylor & Allen, 1992).
## 4. Implementation Details
### 4.1 Adaptive Smoothing Algorithm
The adaptive smoothing mechanism adjusts the exponential moving average alpha parameter based on market volatility:
Volatility_Percentile = Percentrank(Volatility, 100)
Adaptive_Alpha = Min_Alpha + ((Max_Alpha - Min_Alpha) × Volatility_Percentile / 100)
This approach ensures faster response during volatile periods while maintaining smoothness during stable conditions, implementing the adaptive efficiency concept pioneered by Kaufman (1995).
### 4.2 Risk Environment Classification
RAMO classifies market conditions into three risk environments:
- Low Risk: Current_DD < 30% × Max_DD
- Medium Risk: 30% × Max_DD ≤ Current_DD < 70% × Max_DD
- High Risk: Current_DD ≥ 70% × Max_DD
This classification system enables conditional signal generation, with long signals filtered during high-risk periods—a approach consistent with institutional risk management practices (Ang, 2014).
## 5. Signal Generation and Interpretation
### 5.1 Entry Signal Logic
RAMO generates enhanced entry signals through multiple confirmation layers:
1. Primary Signal: Crossover between indicator and signal line
2. Risk Filter: Confirmation of favorable risk environment for long positions
3. Leading Component: Early warning signals via acceleration analysis
4. Exhaustion Filter: Volume-based reversal detection
This multi-layered approach addresses the false signal problem common in traditional technical indicators (Brock, Lakonishok & LeBaron, 1992).
### 5.2 Divergence Analysis
RAMO incorporates both traditional and leading divergence detection:
- Traditional Divergence: Price and indicator divergence over 3-5 periods
- Slope Divergence: Momentum slope versus price direction
- Acceleration Divergence: Changes in momentum acceleration
This comprehensive divergence analysis framework draws from Elliott Wave theory (Prechter & Frost, 1978) and momentum divergence literature (Murphy, 1999).
## 6. Empirical Advantages and Applications
### 6.1 Risk-Adjusted Performance
The risk adjustment mechanism addresses the fundamental criticism of momentum strategies: their tendency to experience severe drawdowns during market reversals (Daniel & Moskowitz, 2016). By automatically reducing position sizing during high-drawdown periods, RAMO implements a form of dynamic hedging consistent with portfolio insurance concepts (Leland, 1980).
### 6.2 Regime Awareness
RAMO's adaptive components enable regime-aware signal generation, addressing the regime-switching behavior documented in financial markets (Hamilton, 1989; Guidolin, 2011). The indicator automatically adjusts its parameters based on market volatility and risk conditions, providing more reliable signals across different market environments.
### 6.3 Institutional Applications
The sophisticated risk management overlay makes RAMO particularly suitable for institutional applications where drawdown control is paramount. The indicator's design philosophy aligns with the risk budgeting approaches used by hedge funds and institutional investors (Roncalli, 2013).
## 7. Limitations and Future Research
### 7.1 Parameter Sensitivity
Like all technical indicators, RAMO's performance depends on parameter selection. While default parameters are optimized for broad market applications, asset-specific calibration may enhance performance. Future research should examine optimal parameter selection across different asset classes and market conditions.
### 7.2 Market Microstructure Considerations
RAMO's effectiveness may vary across different market microstructure environments. High-frequency trading and algorithmic market making have fundamentally altered market dynamics (Aldridge, 2013), potentially affecting momentum indicator performance.
### 7.3 Transaction Cost Integration
Future enhancements could incorporate transaction cost analysis to provide net-return-based signals, addressing the implementation shortfall documented in practical momentum strategy applications (Korajczyk & Sadka, 2004).
## References
Aldridge, I. (2013). *High-Frequency Trading: A Practical Guide to Algorithmic Strategies and Trading Systems*. 2nd ed. Hoboken, NJ: John Wiley & Sons.
Ang, A. (2014). *Asset Management: A Systematic Approach to Factor Investing*. New York: Oxford University Press.
Arms, R. W. (1989). *The Arms Index (TRIN): An Introduction to the Volume Analysis of Stock and Bond Markets*. Homewood, IL: Dow Jones-Irwin.
Asness, C. S., Moskowitz, T. J., & Pedersen, L. H. (2013). Value and momentum everywhere. *Journal of Finance*, 68(3), 929-985.
Barroso, P., & Santa-Clara, P. (2015). Momentum has its moments. *Journal of Financial Economics*, 116(1), 111-120.
Bollinger, J. (1992). *Bollinger on Bollinger Bands*. New York: McGraw-Hill.
Brock, W., Lakonishok, J., & LeBaron, B. (1992). Simple technical trading rules and the stochastic properties of stock returns. *Journal of Finance*, 47(5), 1731-1764.
Calmar, T. (1991). The Calmar ratio: A smoother tool. *Futures*, 20(1), 40.
Campbell, J. Y., Lo, A. W., & MacKinlay, A. C. (1997). *The Econometrics of Financial Markets*. Princeton, NJ: Princeton University Press.
Chekhlov, A., Uryasev, S., & Zabarankin, M. (2005). Drawdown measure in portfolio optimization. *International Journal of Theoretical and Applied Finance*, 8(1), 13-58.
Daniel, K., & Moskowitz, T. J. (2016). Momentum crashes. *Journal of Financial Economics*, 122(2), 221-247.
Fama, E. F., & French, K. R. (1996). Multifactor explanations of asset pricing anomalies. *Journal of Finance*, 51(1), 55-84.
Granville, J. E. (1963). *Granville's New Key to Stock Market Profits*. Englewood Cliffs, NJ: Prentice-Hall.
Guidolin, M. (2011). Markov switching models in empirical finance. In D. N. Drukker (Ed.), *Missing Data Methods: Time-Series Methods and Applications* (pp. 1-86). Bingley: Emerald Group Publishing.
Hamilton, J. D. (1989). A new approach to the economic analysis of nonstationary time series and the business cycle. *Econometrica*, 57(2), 357-384.
Jegadeesh, N., & Titman, S. (1993). Returns to buying winners and selling losers: Implications for stock market efficiency. *Journal of Finance*, 48(1), 65-91.
Kahneman, D., & Tversky, A. (1979). Prospect theory: An analysis of decision under risk. *Econometrica*, 47(2), 263-291.
Kaufman, P. J. (1995). *Smarter Trading: Improving Performance in Changing Markets*. New York: McGraw-Hill.
Korajczyk, R. A., & Sadka, R. (2004). Are momentum profits robust to trading costs? *Journal of Finance*, 59(3), 1039-1082.
Leland, H. E. (1980). Who should buy portfolio insurance? *Journal of Finance*, 35(2), 581-594.
Lo, A. W., Mamaysky, H., & Wang, J. (2000). Foundations of technical analysis: Computational algorithms, statistical inference, and empirical implementation. *Journal of Finance*, 55(4), 1705-1765.
Markowitz, H. (1952). Portfolio selection. *Journal of Finance*, 7(1), 77-91.
Murphy, J. J. (1999). *Technical Analysis of the Financial Markets: A Comprehensive Guide to Trading Methods and Applications*. New York: New York Institute of Finance.
Prechter, R. R., & Frost, A. J. (1978). *Elliott Wave Principle: Key to Market Behavior*. Gainesville, GA: New Classics Library.
Pring, M. J. (2002). *Technical Analysis Explained: The Successful Investor's Guide to Spotting Investment Trends and Turning Points*. 4th ed. New York: McGraw-Hill.
Roncalli, T. (2013). *Introduction to Risk Parity and Budgeting*. Boca Raton, FL: CRC Press.
Shefrin, H., & Statman, M. (1985). The disposition to sell winners too early and ride losers too long: Theory and evidence. *Journal of Finance*, 40(3), 777-790.
Taleb, N. N. (2007). *The Black Swan: The Impact of the Highly Improbable*. New York: Random House.
Taylor, M. P., & Allen, H. (1992). The use of technical analysis in the foreign exchange market. *Journal of International Money and Finance*, 11(3), 304-314.
Treadway, A. B. (1969). On rational entrepreneurial behavior and the demand for investment. *Review of Economic Studies*, 36(2), 227-239.
Wilder, J. W. (1978). *New Concepts in Technical Trading Systems*. Greensboro, NC: Trend Research.
NEoWave Chart Cash Data The NEoWave Chart Cash Data indicator is an efficient tool for generating wave charts or cash data based on the NeoWave method, benefiting not only NeoWave analysts but also Elliott Wave practitioners. This indicator produces cash data with exceptional precision.
Developed by Glenn Neely, NeoWave is considered a more complete, scientific, and innovative iteration of the Elliott Wave theory. This method relies on a specialized chart known as a "wave chart" or "cash data," which, when drawn manually by recording the highest and lowest prices in their order of occurrence, is a complex and time-consuming process. However, this indicator automatically and in real-time identifies the highest and lowest prices for any symbol and time frame, plotting them in sequence. For instance, in a daily time frame, it separates each month's data and prepares a "monthly cash data chart" for analysis using the NeoWave method.
Fully compatible with all account types, this tool enables the creation of cash data across various time frames (from minutes to years) and customizable scales. Its standout features include real-time updates, watermarking capabilities, display of useful data in tables, detection of suspicious monowaves (where the highest and lowest prices occur within the same candlestick), simultaneous display of two cash data charts with different time frames, and the ability to view cash data for any desired time period.
CASH DATA TIMEFRAMES
The core feature of this indicator is CASH DATA TIMEFRAMES, which generates and displays Cash Data based on your base timeframe. Here’s how it works:
.1 Minute ("1"): Cash Data: 5, 10, 15, 30, 60, 120, 180 minutes
.3 Minutes ("3"): Cash Data: 30, 60, 120, 180, 240 minutes
.5 Minutes ("5"): Cash Data: 30, 60, 120, 180, 240 minutes, 1 day (1D)
.15 Minutes ("15"): Cash Data: 120, 180, 240 minutes, 1 day (1D), 2 days (2D), 3 days (3D)
.30 Minutes ("30"): Cash Data: 180, 240 minutes, 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W)
.1 Hour ("60"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W)
.2 Hours ("120"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M)
.3 Hours ("180"): Cash Data: 1 day (1D), 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M)
.4 Hours ("240"): Cash Data: 2 days (2D), 3 days (3D), 1 week (1W), 2 weeks (2W), 1 month (1M), 2 months (2M)
.Daily ("D"): Cash Data: 1 week (1W), 2 weeks (2W), 1 month (1M), 2 months (2M), 3 months (3M), 6 months (6M), 12 months (12M)
.Weekly ("W"): Cash Data: 2 months (2M), 3 months (3M), 6 months (6M)
.Monthly ("M"): Cash Data: 6 months (6M), 12 months (12M)
Suspicious monowaves
Suspicious monowaves, visible in the "Inputs" section under the label "Sus Monowaves," are highlighted in red upon detection. This occurs when the highest and lowest prices within a given time period appear in a single candlestick. As illustrated, suspicious monowaves are marked with red squares, and the candlestick indicated by a red arrow is the trigger for identifying these monowaves.
In such instances, our indicator automatically plots the monowaves with high precision. This feature is tailored for users seeking cash data of the utmost accuracy. Whenever these monowaves appear on the chart, it is recommended that users examine the suspicious monowaves in a lower time frame for further analysis.
Other Cash Data TF
One of the key features of this indicator is the "Other Cash Data TF" option, which, when enabled, allows you to create two cash data charts with different time frames within your base time frame. This feature becomes particularly useful when, for example, your base time frame is daily, and you’ve identified a pattern like a zigzag in the monthly cash data. To confirm this pattern, you need to examine the internal waves A and C to determine whether they are impulsive. By activating this option and setting "Other TF" to a weekly time frame, you can easily analyze the internal waves of your chosen wave without altering the base time frame.
When this option is activated, a column is added to the table, indicating that the "Base TF" is daily, "Cash Data TF" is monthly, and "Other Cash Data TF" is weekly (as shown in the image below).
Other features of the indicator include:
.A Table providing useful information such as the symbol, base time frame, cash data time frame (Cash Data TF), number of monowaves, and live price.
.Customizable options for the table (including color, size, and column removal), watermark, cash data lines, suspicious monowaves, and more.
.A Time Separator that divides the chart into equal periods.
.The ability to add a watermark.
Supply & Demand Zones
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Supply and Demand Zones
This indicator displays valid Supply and Demand zones on any chart and timeframe, using dynamically updating visuals. Users can see the moment that zones become validated, used, and then invalidated during live sessions. It is sleek, lightweight, and offers a feature-rich settings panel that allows customization of how each element appears and functions. Zones can enhance the probability of successful trades by locating areas that are most likely to contain resting orders of Supply or Demand, which are needed for price reversals.
Disclaimer
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Like all indicators, this can be a valuable tool when incorporated into a comprehensive, risk-based trading system.
Supply and Demand is not the same thing as Support and Resistance.
Trading based on price hitting a zone without understanding which zones are of higher quality and which are of lower quality (only discernible with a trained human eye) will yield poor results.
Supply and Demand works well as a system and even better when added to an existing one. However, like all effective trading techniques, it requires diligent study, practice, and repetition to become proficient. This is an indicator for use with Supply and Demand concepts, not a replacement for learning them.
Features
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Once a valid candle sequence is confirmed, a box will appear that displays the zone over the precise zone range. At 50% zone penetration, a zone becomes used , and at 100% it becomes invalidated . Each of these zone classifications changes the behavior of the zone on the chart immediately. The settings panel offers custom colors for Supply , Demand , Used , and Invalidated zone types.
Borders : The subtle border colors can be changed or hidden.
Boxes or Bases : Advanced users can opt to hide zone boxes and instead display small, subtle tags over base candle groups. This allows for more customizable selection over what is displayed and how.
Max Zones and Hide Invalidated :
There are limitations on how many objects TradingView allows at once. Because of this, once zones go from used to invalidated , they are hidden (deleted) by default. This allows the zones index to be allocated to display more valid , usable zones instead. If a user prefers to keep invalidated zones visible, they can be enabled; however, this will result in showing more recent zones for fewer historical zones.
All zones share one pool, so if you allow fifty max zones, forty-five might be supply while five might be demand on a big sell-off trend. You will always see the most recent zones, regardless of type or status.
It’s up to you how much clutter you want on your screen and how much improved load time you want - but once loaded, zone creation and function are always instantaneous.
Load Time
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Load time refers to the time it takes from when you switch tickers or timeframes before the zones are displayed initially. There is zero lag in the dynamic function and minimal load time, regardless of settings. However, if you are a fine-tuner or multi-screener, the number of Max Zones displayed is the only major variable affecting load time.
I run everything at Max when I develop. When I trade, I run mine at 25 max zones because I change timeframes often and want a very quick display of zones when I do. I have invalidated hidden, and simply enable it if I want to check an old zone. This gives me more zones than I need and reduces the load time to right where I like it.
Thresholds
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It is recommended to leave these as the default.
Base Body Threshold : Determines the maximum ratio of a candle’s body to wick before invalidation. Default (50% or 0.5). A higher number loosens thresholds, resulting in more zones being displayed.
Unrequire 2nd FT if LO is Strong & Strength Multiplier :
The standard logic sequence requires two Follow-Through candles. Under some strong price movement, Leg-Out candles can make an explosive directional move from a base, making a convincing argument for supply and demand perfectly at work, if not for a single Follow-Through candle instead of two.
By enabling this feature, you can tell the script to ignore second Follow-Through candles, if and only if, the Leg-Out candle's range is (Strength) X the base range. exceeds the range of the Base by a factor of X (Strength). ie: At 5x, this would require a Leg-Out range to be 500% the range of the Base.
If enabled and the Leg-Out is not strong enough, the default logic kicks in, and a second follow-through candle will validate the zone as per usual. This loosens thresholds overall and should result in more zones.
Recommended Usage
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Form a thesis using your primary trend trading system (eg: Elliott Wave, Structure Reversal, TheStrat, et al) to identify locations of a pullback for a long or short entry.
Identify a pullback area using your system, then use this indicator to find a high-quality zone on your chosen timeframe.
Once located, draw your own channel over the indicator's zone box. Start on 1m, check for zones, 2m, 3m, and so on. When you see a zone you like, recreate it; thus, when finished, you can see every timeframe’s highest-quality zones that you created, regardless of what timeframe you switch to. Tip: Be selective
To make the process faster, save a channel design in settings for “Demand” and one for “Supply”, then you can quickly get through this process in less than a minute with practice.
Optional: Use additional methods (eg: Fibonacci retracements, Elliott Wave Theory, Anchored VWAPs) to find congruent confirmation.
Version 1.0
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No known bugs remain from the closed beta.
In Development
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Powerful combination zones occur when standard zone sequences are extended with additional levels of demand or supply by adding more conditionals to the state machine logic. Got this mostly working in a dev version and it adds minimal extra resources. Set aside to polish a clean standard 1.0 for release first, but now displaying these extended zones is my top priority for next version.
MTF support is essentially working in a dev copy, but adds resources. Not sure if it is in the spirit of price action being the primary focus of a chart for serious traders, rather than indicators. If there is demand for it, I'll consider it.
Additional Threshold Settings
Thanks!
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Thank you for your interest in my work. This was a personal passion project of mine, and I was delighted it turned out better than I hoped, so I decided to share it. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord.
@ ContrarianIRL
Open-source developer for over 25 years
Trend of Multiple Oscillator Dashboard ModifiedDescription: The "Trend of Multiple Oscillator Dashboard Modified" is a powerful Pine Script indicator that provides a dashboard view of various oscillator and trend-following indicators across multiple timeframes. This indicator helps traders to assess trend conditions comprehensively by integrating popular technical indicators, including MACD, EMA, Stochastic, Elliott Wave, DID (Curta, Media, Longa), Price Volume Trend (PVT), Kuskus Trend, and Wave Trend Oscillator. Each indicator’s trend signal (bullish, bearish, or neutral) is displayed in a color-coded dashboard, making it easy to spot the consensus or divergence in trends across different timeframes.
Key Features:
Multi-Timeframe Analysis: Displays trend signals across five predefined timeframes (1, 2, 3, 5, and 10 minutes) for each included indicator.
Customizable Inputs: Allows for customization of key parameters for each oscillator and trend-following indicator.
Trend Interpretation: Each indicator is visually represented with green (bullish), red (bearish), and yellow (neutral) trend markers, making trend identification intuitive and quick.
Trade Condition Controls: Input options for the number of positive and negative conditions needed to trigger entries and exits, allowing users to refine the decision-making criteria.
Delay Management: Options for re-entry conditions based on both price movement (in points) and the minimum number of candles since the last exit, giving users flexibility in managing trade entries.
Usage: This indicator is ideal for traders who rely on multiple oscillators and moving averages to gauge trend direction and strength across timeframes. The dashboard allows users to observe trends at a glance and make informed decisions based on the alignment of various trend indicators. It’s particularly useful in consolidating signals for strategies that require multiple conditions to align before entering or exiting trades.
Note: Ensure that you’re familiar with each oscillator’s functionality, as some indicators like Elliott Wave and Wave Trend are simplified for visual coherence in this dashboard.
Disclaimer: This script is intended for educational and informational purposes only. Use it with caution and adapt it to your specific trading plan.
Developer's Remark: "This indicator's comprehensive design allows traders to filter noise and identify the most robust trends effectively. Use it to visualize trends across timeframes, understand oscillator behavior, and enhance decision-making with a more strategic approach."
