Leading Economic Indicator (LEI)The Leading Economic Indicator (LEI) is a groundbreaking technical indicator designed to serve as a comprehensive measure of the prevailing direction of economic trends in the United States. This unique index combines two key economic indicators: the Composite Leading Indicator (CLI) from the Organization for Economic Co-operation and Development (OECD) and the Purchasing Managers' Index (PMI) from the Institute for Supply Management (ISM).
The OECD Composite Leading Indicator (CLI) is a globally recognized indicator that assesses the future direction of economic trends by analyzing various leading economic factors. The ISM PMI, on the other hand, provides insights into the business activities of both the manufacturing and services sectors. LEI merges these critical indicators into a single, holistic indicator that empowers traders and investors to grasp the broader economic outlook and the performance of essential economic sectors simultaneously.
By taking into account the CLI and PMI, LEI offers a distinctive perspective, enabling a more accurate assessment of the potential direction of US financial markets.
Usage:
To utilize LEI effectively, it is recommended to apply it on a monthly timeframe (TF Monthly). This extended timeframe is particularly beneficial for investors with a medium to long-term horizon. By focusing on longer-term trends and market stability, LEI becomes an invaluable tool in your investment strategy.
One of the primary applications of LEI is to gauge the risk of market corrections in US financial markets, including the S&P 500, Nasdaq, and Dow Jones indices. Analysts often observe the crossing of the 5-period Simple Moving Average (SMA) with the 10-period SMA. When the 5-period SMA falls below the 10-period SMA, it serves as a potential warning signal for an impending market correction. This feature provides traders with an opportunity to exercise caution and make well-informed investment decisions.
LEI, with its unique blend of the OECD CLI and ISM PMI, provides a reliable tool for assessing the US economic climate, identifying trends, and making informed decisions in the financial markets. It stands as a reference indicator, capturing the essence of economic trends and providing valuable insights to traders and investors.
Sources:
- OECD Composite Leading Indicator (CLI): www.data.oecd.org
- Purchasing Managers' Index: ISM Report on Business (PMI) www.ismworld.org
週期
Purchasing Managers Index (PMI)The Purchasing Managers Index (PMI) is a widely recognized economic indicator that provides crucial insights into the health and performance of an economy's manufacturing and services sectors. This index is a vital tool for anticipating economic developments and trends, offering an early warning system for changes in these sectors.
The PMI is calculated based on surveys conducted among purchasing managers in various businesses and organizations. These managers are asked about their perceptions of current business conditions and their expectations for future economic activity within their sectors. The responses are then compiled and used to calculate the PMI value.
A PMI value above 50 typically indicates that the manufacturing or services sector is expanding, suggesting a positive economic outlook. Conversely, a PMI value below 50 suggests contraction, which may be an early indication of economic challenges or a potential recession.
In summary, the Purchasing Managers Index (PMI) is an essential economic indicator that assesses the health of manufacturing and services sectors by surveying purchasing managers' opinions. It serves as an early warning system for changes in economic activity and is a valuable tool for forecasting economic trends and potential crises.
This code combines the Purchasing Managers Index (PMI) data with two Simple Moving Averages (SMA) and some visual elements.
Let's break down how this indicator works:
1. Loading PMI Data:
The indicator loads data for the "USBCOI" symbol, which represents the PMI data. It fetches the monthly closing prices of this symbol.
2. Calculating Moving Averages:
Two Simple Moving Averages (SMAs) are calculated based on the PMI data. The first SMA, sma_usbcoi, has a length defined by the input parameter (default: 2). The second SMA, sma2_usbcoi, has a different length defined by the second input parameter (default: 14).
3. Color Coding and Thresholds:
The line color of the PMI plot is determined based on the value of the PMI. If the PMI is above 52, the color is teal; if it's below 48, the color is red; otherwise, it's gray. These threshold values are often used to identify specific conditions in the PMI data.
4. Crossing Indicator:
A key feature of this indicator is to determine if the PMI crosses the first SMA (sma_usbcoi) from top to bottom while also being above the value of 52. This is indicated by the crossedUp variable. This condition suggests a specific situation where the PMI crosses a short-term moving average while indicating strength (above 52).
5. Visual Elements:
A "💀" skull emoji is defined as skullEmoji.
The PMI is plotted on the chart with color coding based on its value, as described earlier.
The two SMAs are also plotted on the chart.
When the crossedUp condition is met (PMI crosses the first SMA from top to bottom while above 52), a skull emoji (indicating potential danger) is plotted at the top of the indicator window.
US Composite Leading Indicator (CLI)The US Composite Leading Indicator (CLI), normalized for the United States, closely mirrors the Conference Board "Leading Economic Index" (LEI). It offers unique insights into economic and financial dynamics.
The Composite Leading Indicator (CLI) is an economic tool designed to anticipate economic developments. It is created by aggregating and normalizing a wide range of economic and financial data from various sources.
The normalized data is then aggregated, and a composite indicator is calculated by taking a weighted average of individual indicators.
The CLI is used to provide early insights into the state of the economy and to anticipate future economic trends. It is particularly valuable for predicting economic downturns, including recessions.
The CLI is an essential tool for economists, governments, businesses, and investors seeking to understand economic trends and make informed decisions.
Key Features:
1. Early Warning: Just like its counterpart, the CLI indicator excels at offering early warnings about significant economic events, particularly economic crises. This makes it an indispensable asset for analysts and investors.
2. Recession Indicators: The moving average serves as an early warning system for potential economic recessions. When it crosses the indicator line from the bottom to the top while surpassing a predefined threshold (e.g., 101), it signals a potential crisis.
3. Market Impact: The CLI indicator provides valuable insights into the performance of financial markets, offering cues about indices such as the S&P 500, Nasdaq, Dow Jones, and more.
Why It Matters:
Understanding the US Composite Leading Indicator (CLI) indicator, normalized for the United States, is crucial for anticipating economic shifts and preparing for changes in financial markets. By analyzing a diverse array of economic factors, it provides a holistic view of economic well-being. Whether you're an investor or economist, this indicator can be an invaluable resource for staying informed about market trends and major economic developments.
Source:
www.data.oecd.org
New Tradability by hajiIntroduction:
The New Tradability Indicator is a state-of-the-art, meticulously coded tool designed for traders on TradingView. Crafted with precision and an in-depth understanding of market dynamics, this indicator offers a comprehensive insight into market tradability across various time frames. By leveraging the core metrics of Trend Area and Quality, it aims to empower traders with the right information to make informed decisions, mitigate FOMO, and maximize profitability.
Core Features:
Three-tiered Time Frame Analysis:
Macro Time Frame: This captures the overarching market movement by analyzing long-term trends. It gives a bird's-eye view of the market's direction and momentum, ideal for position and swing traders.
Normal Time Frame: This is aligned with the current chart time frame. It offers real-time insights for those who trade more frequently, such as day traders or those who base their decisions on hourly or daily charts.
Micro Time Frame: Tailored for scalpers and short-term traders, this captures the minutiae of market fluctuations by focusing on smaller time frames.
Dual-metric Analysis:
Trend Area: This metric delves deep into the market's current trend strength. Whether bullish or bearish, it provides a quantified representation of the trend's vigor and possible continuation. A higher percentage indicates a more pronounced trend, offering traders clarity on potential breakout or reversal scenarios.
Quality: Designed to combat one of the trader's arch-nemeses, FOMO (Fear of Missing Out), this metric evaluates the aptness of entering a trade. A high-quality score signifies a ripe opportunity, suggesting that it's an optimal time to enter the market. Conversely, a low-quality score can act as a warning sign, indicating that the prime entry point might have passed, thus cautioning traders against making hasty decisions.
Tradability Bar: The culmination of the indicator's insights is reflected in the Tradability Bar. This holistic bar synthesizes data from all metrics and time frames to present traders with a singular, easy-to-read percentage. The higher the percentage, the more favorable the market conditions are deemed for trading.
Usage Guidelines:
For optimal results, traders are advised to:
Use the Tradability Bar as an initial reference point. A high percentage suggests promising trading conditions.
Dive deeper by analyzing individual metrics (Trend Area & Quality) and respective time frames to validate or refine their trading strategies.
Always consider external market news, events, and other technical analysis tools in conjunction with this indicator for a more rounded decision-making process.
Conclusion:
The New Tradability Indicator for TradingView stands as a beacon for traders navigating the tumultuous seas of the financial markets. By distilling complex market dynamics into actionable insights, it seeks to be an indispensable ally in a trader's journey towards consistent profitability. Whether you're a seasoned trader or just starting out, this tool is tailored to provide clarity, confidence, and a competitive edge in the trading arena. Welcome to the future of informed trading.
Old Tradability by Kiersten & HajiIntroduction:
The "Old Tradability" is a meticulously crafted indicator designed exclusively for TradingView users. It brings together the power of various well-respected indicators, offering traders a comprehensive tool to gauge market conditions and make informed decisions. Whether you're a novice trader looking for a reliable indicator or a seasoned professional seeking to add another layer to your analytical toolbox, Old Tradability is tailored to provide actionable insights.
Core Features:
Dual Level Analysis:
Long-Term Trend Analysis: At its core, Old Tradability emphasizes the identification of prevailing long-term market trends. To achieve this, it leverages the capabilities of some of the most recognized indicators in the trading world, such as:
MACD (Moving Average Convergence Divergence): Known for its reliability in spotting trend changes and momentum.
MFI (Money Flow Index): A valuable tool to evaluate the flow of money into and out of an asset, often used to predict overbought or oversold conditions.
Heikin Ashi: A unique form of candlestick charting that filters market noise, helping traders understand the market sentiment and trend direction more clearly.
Short-Term Analysis Using MinMax Normalization: The indicator doesn't stop at just identifying the long-term trend. Recognizing the importance of short-term price movements, Old Tradability applies MinMax Normalization on shorter time frames. This technique adjusts the scale of data, making it easier to spot potential reversals or continuation patterns.
Strategic Trading Recommendations:
The principle is simple yet effective. When the long-term trend is bullish and the short-term analysis places the asset in the bottom 20%, it presents a potential buying opportunity. Conversely, if the long-term trend is bearish and the short-term places the asset in the top 20%, traders might consider it as a selling signal.
Integrated Risk Management Alerts:
One of the standout features of Old Tradability is its built-in risk management system. This feature ensures that traders are not only informed about potential trade setups but also about the inherent risks associated.
The system sends out timely alerts for what it deems as "perfect setups," allowing traders to act swiftly and decisively. This minimizes the chance of missing out on lucrative trades while also providing an extra layer of security by notifying users about unfavorable conditions.
Conclusion:
The Old Tradability Indicator is more than just a tool; it's a comprehensive trading companion. Its dual-level analysis ensures that traders have a holistic view of the market, while its integrated risk management alerts keep them one step ahead. If you're looking for a dependable, detailed, and actionable indicator on TradingView, Old Tradability might just be the perfect addition to your trading strategy. Happy trading!
Session highlighter [Digit23]This Pine Script indicator, crafted by Digit23, serves as a session highlighter to enrich your TradingView trading experience. It offers a visual representation of a specified trading session, aiding traders in identifying and concentrating on pivotal time intervals.
Key Features:
User-Defined Session: Tailor the trading session by setting specific start and end times, allowing traders to align the indicator with their preferred timeframes.
Day of Week Filter: Optionally, refine the highlighted session by selecting a specific day of the week, providing flexibility to accommodate diverse trading strategies.
Visual Clarity: The indicator employs a customizable background color during the defined trading session, ensuring quick recognition and differentiation of the highlighted timeframe.
How to Use:
Session Configuration: Adjust the start and end times to define your preferred trading session.
Day of Week Filter (Optional): Fine-tune the indicator by specifying a particular day of the week to apply the session highlight.
Visual Enhancement: The indicator visually highlights the specified trading session, offering a clear and intuitive representation on your TradingView chart.
Compatibility:
This indicator seamlessly integrates with all markets and timeframes available on TradingView, providing versatility for traders across different instruments.
Note:
Use this indicator alongside other technical analysis tools for a comprehensive trading strategy.
This indicator is shared for educational and informational purposes only. Trading involves risk, and it's crucial to conduct thorough research and analysis before making trading decisions.
Disclaimer: This script is provided for educational and informational purposes only. Trading involves risk, and it is essential to conduct thorough research and analysis before making trading decisions.
IPDA Standard Deviations [DexterLab x TFO x toodegrees]> Introduction and Acknowledgements
The IPDA Standard Deviations tool encompasses the Time and price relationship as studied by @TraderDext3r .
I am not the creator of this Theory, and I do not hold the answers to all the questions you may have; I suggest you to study it from Dexter's tweets, videos, and material.
This tool was born from a collaboration between @TraderDext3r, @tradeforopp and I, with the objective of bringing a comprehensive IPDA Standard Deviations tool to Tradingview.
> Tool Description
This is purely a graphical aid for traders to be able to quickly determine Fractal IPDA Time Windows, and trace the potential Standard Deviations of the moves at their respective high and low extremes.
The disruptive value of this tool is that it allows traders to save Time by automatically adapting the Time Windows based on the current chart's Timeframe, as well as providing customizations to filter and focus on the appropriate Standard Deviations.
> IPDA Standard Deviations by TraderDext3r
The underlying idea is based on the Interbank Price Delivery Algorithm's lookback windows on the daily chart as taught by the Inner Circle Trader:
IPDA looks at the past three months of price action to determine how to deliver price in the future.
Additionally, the ICT concept of projecting specific manipulation moves prior to large displacement upwards/downwards is used to navigate and interpret the priorly mentioned displacement move. We pay attention to specific Standard Deviations based on the current environment and overall narrative.
Dexter being one of the most prominent Inner Circle Trader students, harnessed the fractal nature of price to derive fractal IPDA Lookback Time Windows for lower Timeframes, and studied the behaviour of price at specific Deviations.
For Example:
The -1 to -2 area can initiate an algorithmic retracement before continuation.
The -2 to -2.5 area can initiate an algorithmic retracement before continuation, or a Smart Money Reversal.
The -4 area should be seen as the ultimate objective, or the level at which the displacement will slow down.
Given that these ideas stem from ICT's concepts themselves, they are to be used hand in hand with all other ICT Concepts (PD Array Matrix, PO3, Institutional Price Levels, ...).
> Fractal IPDA Time Windows
The IPDA Lookbacks Types identified by Dexter are as follows:
Monthly – 1D Chart: one widow per Month, highlighting the past three Months.
Weekly – 4H to 8H Chart: one window per Week, highlighting the past three Weeks.
Daily – 15m to 1H Chart: one window per Day, highlighting the past three Days.
Intraday – 1m to 5m Chart: one window per 4 Hours highlighting the past 12 Hours.
Inside these three respective Time Windows, the extreme High and Low will be identified, as well as the prior opposing short term market structure point. These represent the anchors for the Standard Deviation Projections.
> Tool Settings
The User is able to plot any type of Standard Deviation they want by inputting them in the settings, in their own line of the text box. They will always be plotted from the Time Windows extremes.
As previously mentioned, the User is also able to define their own Timeframe intervals for the respective IPDA Lookback Types. The specific Timeframes on which the different Lookback Types are plotted are edge-inclusive. In case of an overlap, the higher Timeframe Lookback will be prioritized.
Finally the User is able to filter and remove Standard Deviations in two ways:
"Remove Once Invalidated" will automatically delete a Deviation once its outer anchor extreme is traded through.
Manual Toggles will allow to remove the Upward or Downward Deviation of each Time Window at the discretion of the User.
Major shoutout to Dexter and TFO for their Time, it was a pleasure to collaborate and create this tool with them.
GLGT!
Astro: Planetary Aspects v2.0I have updated the excellent script originally written by @BarefootJoey with additional functionality as listed below the script's original description:
@BarefootJoey:
In astrology, planetary aspects refer to the angles formed between two or more planets in a horoscope or birth chart. These angles are created by the positions of the planets in the sky and are thought to represent a particular energy or influence that can impact events on Earth.
The most common planetary aspects are the conjunction (when two planets are in the same position in the zodiac), the opposition (when two planets are direct across from each other in the zodiac), the trine (when two planets are 120 degrees apart in the zodiac), and the square (when two planets are 90 degrees apart in the zodiac).
This oscillator plots the current geocentric/heliocentric aspect for up to two planets and features a customizable precision of degree (up to +/- 15 degrees) for each aspect.
Additional functionality added in by @Yevolution:
1. Overlay the indicator plot on top of the main chart, with the indicator's scale placed on the left - I found it easier to spot price reactions at a given planetary aspect vs seeing the plot in a separate frame
2. Add options to plot a vertical bar for every occurrence of chosen aspects
The script source code has remained open and additional comments have been added by me to explain the changes where relevant.
When I get some more spare time I will add a function to enable future planetary aspect events to also be displayed on the chart to make forecasting using this data easier.
Highlight Day of WeekA simple indicator that highlights certain days of the week by changing the background color of the chart to a specified color. Each day can be highlighted its own respective color.
This can be used to visually search for patterns based on day of the week.
Seasonality and Presidential cycleAn incredibly useful indicator that shows seasonality and presidential cycles by indices, stocks and industries. Just type in a ticker and trade according to seasonal patterns
Blue line - seasonality excluding presidential cycles
Green line - seasonality taking into account presidential cycles
*Seasonal patterns over the last 10 years
This indicator uses the request.seed() function.
Requests data from a GitHub repository maintained by our team and returns it as a series.
Pine Seeds is a service to import custom data and access it via TradingView.
Use TradingView as frontend and use a GitHub repository as backend.
github.com
...
Rus: Невероятно полезный индикатор, который показывает сезонность и президентские циклы по индексам, акциям и отраслям. Просто вбейте тикер и торгуйте согласно сезонным паттернам
Синяя линия - сезонность без учета президентских циклов
Зеленая линия - сезонность с учетом президентских циклов
*Сезонные паттерны за последние 10 лет
SMC Indicator With WebhookThis indicator includes
- Liquidity sweeps
- FVG
- MSS
- Sessions
The alert system is set up for Discord webhooks. Discord webhook can be set up by creating a webhook in your Discord server then pasting the webhook url into the webhook url input box for the alert you create on the indicator.
You can create different alerts for different timeframes and symbols. E.g. HTF liquidity sweeps and LTF MSS.
Weekly Map By BTweekly map
This indicator draws the Low and High of the weekly candle and divides it into the required percentages
Z ScoreWhat Is Z-Score?
Z-score is a statistical measurement that describes a value's relationship to the mean of a group of values. Z-score is measured in terms of standard deviations from the mean. If a Z-score is 0, it indicates that the data point's score is identical to the mean score. A Z-score of 1.0 would indicate a value that is one standard deviation from the mean. Z-scores may be positive or negative, with a positive value indicating the score is above the mean and a negative score indicating it is below the mean.
CBOE Volatility Index
VIX is the ticker symbol and the popular name for the Chicago Board Options Exchange's CBOE Volatility Index, a popular measure of the stock market's expectation of volatility based on S&P 500 index options. It is calculated and disseminated on a real-time basis by the CBOE, and is often referred to as the fear index or fear gauge. To summarize, VIX is a volatility index derived from S&P 500 options for the 30 days following the measurement date, with the price of each option representing the market's expectation of 30-day forward-looking volatility. The resulting VIX index formulation provides a measure of expected market volatility on which expectations of further stock market volatility in the near future might be based
Z Scores of VIX
When the Z-scored VIX indicator exceeds the +2 standard deviation mark, the system forecasts mean reversion and decreasing volatility and the possibility of an upward trend in S&P500.
When the Z-scored VIX indicator falls below -2 standard deviations, the system predicts future increasing volatility and the possibility of a downward trend in S&P500.
Recession Indicator (Unemployment Rate)Unemployment rate
percentage of unemployed individuals in an economy among individuals currently in the labour force. It is calcuated as Unemployed IndividualsTotal Labour Force × 100 where unemployed individuals are those who are currently not working but are actively seeking work.
The unemployment rate is one of the primary economic indicators used to measure the health of an economy. It tends to fluctuate with the business cycle, increasing during recessions and decreasing during expansions. It is among the indicators most commonly watched by policy makers, investors, and the general public.
Policy makers and central banks consider how much the unemployment rate has increased during a particular recession to gauge the recession’s impact on the economy and to decide how to tailor fiscal and monetary policies to mitigate its adverse effects. In addition, central banks carefully try to predict the future trend of the unemployment rate to devise long-term strategies to lower it.
This indicator is a representation of yearly rate of change of Unemployment rate. Historically (not always) when ROC(Yearly) of Unemployment rate crossover zero line was a signal of recession or economic contraction.
[blackcat] L3 SuperJThe SuperJ indicator is a powerful tool that utilizes VWMA (Volume Weighted Moving Average) and ALMA (Arnaud Legoux Moving Average) to filter and enhance the KDJ indicator, resulting in a smoother J line and the creation of the SuperJ indicator. By incorporating TVMA (Triggered Volume Moving Average), the SuperJ indicator can generate trigger signals that can form bullish and bearish crossovers with the J line, creating an oscillating pattern.
The combination of VWMA and ALMA helps to remove noise from the market and provides clearer trading signals. This is particularly useful when the market is highly volatile or the trend is ambiguous. The oscillations of the J line can help traders identify the true trend and avoid being misled by false signals.
Furthermore, by considering the values and trends of the J line in conjunction with other technical analysis tools, traders can make more accurate assessments of market trends and price movements. For example, when combined with moving averages, the SuperJ indicator can enhance the ability to identify price reversal points.
The SuperJ indicator also offers benefits in assessing overbought and oversold conditions in the market. By observing the values and trends of the J line, traders can more accurately evaluate market sentiment and strength. When the J line is above 80, it may indicate an overly optimistic market with a risk of overbought conditions. Conversely, when the J line is below 20, it may indicate an overly pessimistic market with an opportunity for oversold conditions. These signals can assist traders in determining when to buy or sell.
In summary, the SuperJ indicator, derived from the combination of VWMA, ALMA, and TVMA, provides traders with a valuable tool for identifying overbought and oversold conditions, predicting price reversals, and generating high-quality trading signals. Its application as a "buy low, sell high" strategy element is highly effective in maximizing trading opportunities and optimizing profitability.
90 Minute Cycles90m cycles for 7:30-9, 9-10:30, 10:30-12
This indicator shows the 90 minute cycles for 7:30am-9am, 9am-10:30am and 10:30am-12pm New York time.
Stocks Seasonality GaugeThe Stocks Seasonality Gauge (SSG) Indicator is meticulously engineered to assist traders in discerning the historical and current performance trends of a particular stock, leveraging a blend of historical data analysis and Exponential Moving Average (EMA) computations. Through the lens of seasonality and recent price movements, this indicator provides a rich tableau of insights to anticipate potential future performance based on past behaviors.
Key Features:
Historical Performance Analysis:
The SSG assesses the historical performance of a stock, focusing on monthly returns over a specified number of lookback years. It calculates the average performance of the current month over these years, as well as the average monthly performance for the current year to date.
Recent Price Movement Evaluation:
Delves into the recent price movements by calculating the percentage price change over specific periods (21 days and 7 days), offering a glimpse into the short-term momentum of the stock.
Exponential Moving Average (EMA) Integration:
An EMA is constructed based on the recent price changes, providing a smoothed outlook on the stock's current month's performance. This EMA can be customized through the input parameter for its length, allowing for adaptation to various trading scenarios.
Visualization:
The indicator plots three crucial lines:
The average performance of the current month over the lookback years.
The average monthly performance for the current year to date.
The EMA of the current month's performance.
A horizontal line at 0% change is also plotted as a reference point to easily gauge positive or negative performances.
User-Defined Inputs:
Traders can define the number of lookback years and the EMA length for the current month's performance, offering a degree of customization to suit individual preferences and trading strategies.
Plotting:
The visualization is designed to provide a clear, color-coded representation of the historical and current performance metrics, aiding in the rapid assimilation of information and decision-making.
The Stocks Seasonality Gauge (SSG) is a sophisticated indicator for traders keen on harnessing the power of historical performance and recent price momentum to make informed trading decisions. Its blend of seasonality analysis and EMA application makes it a robust tool for anticipating potential market behaviors and aligning trading strategies accordingly.
Correlational cyclesCorrelation is a statistical measure that expresses the extent to which two variables are linearly related (meaning they change together at a constant rate). It's a common tool for describing simple relationships without making a statement about cause and effect.
This script allows the user to input a multiplier to reverse the symbol input. This enables the user to look at a correlation measure between VIX and QQQ and the same time.. And get a better of understanding of what is not alligning and what is. the peaks in correlations usually signal a coming volatile period.
Yearly and 12-Week Percentage Difference with EMAThe indicator "Yearly and 12-Week Percentage Difference with EMA" is designed to display the annual and 12-week difference in the percentage variability of asset prices, as well as their exponential moving averages (EMA) on the TradingView chart.
EMA Period (EMA Period): This is a configurable parameter that allows you to select a period for calculating the EMA.
Yearly % Difference (Annual percentage difference): This indicator shows the percentage difference between the current price and the asset price a year ago on weekly bars. The graph is displayed in blue.
12-Week % Difference (12 weeks difference as a percentage): This indicator shows the percentage difference between the current price and the asset price 12 weeks ago on weekly bars. The graph is displayed in green.
Zero Line (Zero Line): This black line on the chart shows the zero level.
EMA of Yearly % Difference (EMA of annual percentage difference): This line represents the exponential moving average (EMA) of the annual percentage difference. The graph is displayed in red.
EMA of 12-Week % Difference (EMA of the difference over 12 weeks as a percentage): This line represents the exponential moving average (EMA) of the difference over 12 weeks as a percentage. The graph is displayed in orange.
Use this indicator to analyze the percentage variability of asset prices on an annual and 12-week basis, as well as to track their EMA, which can help in making trading decisions.
Русская версия \\\\\
Индикатор "Разница в процентах за год и за 12 недель с EMA" предназначен для отображения цены от год к году, и за 12 недель процентной изменчивости цен актива, а также их экспоненциальных скользящих средних (EMA) на графике TradingView.
- EMA Period (Период EMA): Это настраиваемый параметр, который позволяет выбрать период для расчета EMA.
- Yearly % Difference (Годовая разница в процентах): Этот индикатор показывает процентную разницу между текущей ценой и ценой актива год назад на недельных барах. График отображается синим цветом.
- 12-Week % Difference (Разница за 12 недель в процентах): Этот индикатор показывает процентную разницу между текущей ценой и ценой актива 12 недель назад на недельных барах. График отображается зеленым цветом.
- Zero Line (Линия нуля): Эта черная линия на графике показывает нулевой уровень.
- EMA of Yearly % Difference (EMA годовой разницы в процентах): Эта линия представляет собой экспоненциальное скользящее среднее (EMA) годовой разницы в процентах. График отображается красным цветом.
- EMA of 12-Week % Difference (EMA разницы за 12 недель в процентах): Эта линия представляет собой экспоненциальное скользящее среднее (EMA) разницы за 12 недель в процентах. График отображается оранжевым цветом.
Используйте этот индикатор для анализа процентной изменчивости цен актива на годовой и 12-недельной основе, а также для отслеживания их EMA, что может помочь в принятии торговых решений.
Triple Ehlers Market StateClear trend identification is an important aspect of finding the right side to trade, another is getting the best buying/selling price on a pullback, retracement or reversal. Triple Ehlers Market State can do both.
Three is always better
Ehlers’ original formulation produces bullish, bearish and trendless signals. The indicator presented here gate stages three correlation cycles of adjustable lengths and degree thresholds, displaying a more refined view of bullish, bearish and trendless markets, in a compact and novel way.
Stick with the default settings, or experiment with the cycle period and threshold angle of each cycle, then choose whether ‘Recent trend weighting’ is included in candle colouring.
John Ehlers is a highly respected trading maths head who may need no introduction here. His idea for Market State was published in TASC June 2020 Traders Tips. The awesome interpretation of Ehlers’ work on which Triple Ehlers Market State’s correlation cycle calculations are based can be found at:
DISCLAIMER: None of this is financial advice.
PA-Adaptive Hull Parabolic [Loxx]The PA-Adaptive Hull Parabolic is not your typical trading indicator. It synthesizes the computational brilliance of two famed technicians: John Ehlers and John Hull. Let's demystify its sophistication.
█ Ehlers' Phase Accumulation
John Ehlers is well-known in the trading community for his digital signal processing approach to market data. One of his standout techniques is phase accumulation. This method identifies the dominant cycle in the market by accumulating the phases of individual cycles. By doing so, it "adapts" to real-time market conditions.
Here's the brilliance of phase accumulation in this code
The indicator doesn't merely use a static look-back period. Instead, it dynamically determines the dominant market cycle through phase accumulation.
The calcComp function, rooted in Ehlers' methodology, provides a complex computation using a digital signal processing approach to filter out market noise and pinpoint the current cycle's frequency.
By measuring and adapting to the instantaneous period of the market, it ensures that the indicator remains relevant, especially in non-stationary market conditions.
Hull's Moving Average
John Hull introduced the Hull Moving Average (HMA) aiming to reduce lag and improve smoothing. The HMA's essence lies in its weighted average computation, prioritizing more recent prices.
This code takes an adaptive twist on the HMA
Instead of a fixed period, the HMA uses the dominant cycle length derived from Ehlers' phase accumulation. This makes the HMA not just fast and smooth, but also adaptive to the dominant market rhythm.
The intricate iLwmp function in the script provides this adaptive HMA computation. It's a weighted moving average, but its length isn't static; it's based on the previously determined dominant market cycle.
█ Trading Insights
The indicator paints the bars to represent the immediate trend: green for bullish and red for bearish.
Entry points, both long ("L") and short ("S"), are presented visually. These are derived from crossovers of the adaptive HMA, a clear indication of a potential shift in the trend.
Additionally, alert conditions are set, ready to notify a trader when these crossovers occur, ensuring real-time actionable insights.
█ Conclusion
The PA-Adaptive Hull Parabolic is a masterclass in advanced technical indicator design. By marrying John Ehlers' adaptive phase accumulation with John Hull's HMA, it creates a dynamic, responsive, and precise tool for traders. It's not just about capturing the trend; it's about understanding the very rhythm of the market.
Supertrend x4 w/ Cloud FillSuperTrend is one of the most common ATR based trailing stop indicators.
The average true range (ATR) plays an important role in 'Supertrend' as the indicator uses ATR to calculate its value. The ATR indicator signals the degree of price volatility. In this version you can change the ATR calculation method from the settings. Default method is RMA, when the alternative method is SMA.
The indicator is easy to use and gives an accurate reading about an ongoing trend. It is constructed with two parameters, namely period and multiplier.
The implementation of 4 supertrends and cloud fills allows for a better overall picture of the higher and lower timeframe trend one is trading a particular security in.
The default values used while constructing a supertrend indicator is 10 for average true range or trading period.
The key aspect what differentiates this indicator is the Multiplier. The multiplier is based on how much bigger of a range you want to capture. In our case by default, it starts with 2.636 and 3.336 for Set 1 & Set 2 respectively giving a narrow band range or Short Term (ST) timeframe visual. On the other hand, the multipliers for Set 3 & Set 4 goes up to 9.736 and 8.536 for the multiplier respectively giving a large band range or Long Term (LT) timeframe visual.
A ‘Supertrend’ indicator can be used on equities, futures or forex, or even crypto markets and also on minutes, hourly, daily, and weekly charts as well, but generally, it fails in a sideways-moving market. That's why with this implementation it enables one to stay out of the market if they choose to do so when the market is ranging.
This Supertrend indicator is modelled around trends and areas of interest versus buy and sell signals. Therefore, to better understand this indicator, one must calibrate it to one's need first, which means day trader (shorter timeframe) vs swing trader (longer time frame), and then understand how it can be utilized to improve your entries, exits, risk and position sizing.
Example:
In this chart shown above using SPX500:OANDA, 15R Time Frame, we can see that there is at any give time 1 to 4 clouds/bands of Supertrends. These four are called Set 1, Set 2, Set 3 and Set 4 in the indicator. Set's 1 & 2 are considered short term, whereas Set's 3 & 4 are considered long term. The term short and long are subjective based on one's trading style. For instance, if a person is a 1min chart trader, which would be short term, to get an idea of the trend you would have to look at a longer time frame like a 5min for instance. Similarly, in this cases the timeframes = Multiplier value that you set.
Optional Ideas:
+ Apply some basic EMA/SMA indicator script of your choice for easier understanding of the trend or to allow smooth transition to using this indicator.
+ Split the chart into two vertical layouts and applying this same script coupled with xdecow's 2 WWV candle painting script on both the layouts. Now you can use the left side of the chart to show all bearish move candles only (make the bullish candles transparent) and do the opposite for the right side of the chart. This way you enhance focus to just stick to one side at a given time.
Credits:
This indicator is a derivative of the fine work done originally by KivancOzbilgic
Here is the source to his original indicator: ).
Disclaimer:
This indicator and tip is for educational and entertainment purposes only. This not does constitute to financial advice of any sort.
ATR Multiples PlottedInspired by @jeffsuntrading and @Fred6724 's ATR% multiple from 50-MA .
There are no catch-all values, however a high of 6 and a low of -4 generally has been valuable to me. I tend to look at the historical highs and lows of the indicator, and adjust the Value High and Value Low accordingly to get an idea when profit-taking may be sensible.
The essence is the difference between price and the selected moving average, measured in ATRs.
