Scale Ability [TrendX_]Scale Ability indicator can indicate a company’s potential for future growth and profitability.
A scalable company is one that can increase its revenue and market share without increasing its costs proportionally, which can benefit from economies of scale. Therefore, the high-scale ability can generate more value for its shareholders - which is important for investment decisions.
Scale Ability indicator consists of 3 financial components:
Cash Flow from Investing Activities to Total Assets Ratio (CFIA / TA)
Net Income to Total Debt Ratio (NI / TD)
Earnings Before Interest, Taxes, Depreciation and Amortization to Equity Ratio (EBITDA / E)
These measures can help investors assess how efficiently and effectively a company uses its resources to generate revenue and profit.
Note:
This can be customizable between Fiscal Quarter (FQ) and Fiscal Year (Fy)
This is suitable for companies in fast-growing industries.
FUNCTION
CFIA / TA Ratio
A company with a net income to total debt of 9% could indicate that it is investing in its assets to keep up with the market demand and the technological changes which can create competitive advantages.
NI/ TD Ratio
A company with a net income to total debt of 9% could show that it is profitable and has a strong financial position, which can easily cover its debt payments.
EBITDA / E Ratio
A company with a net income to total debt of 14% illustrates that it is generating a high return on its equity.
USAGE
Scale index division:
> 43 : Excellent
32 - 43 : Good
12 - 31 : Above Average
= 11 : Average
8 - 10 : Below Average
5 - 7 : Poor
< 4 : Very Poor
DISCLAIMER
This is only a rough estimate, and the actual ratio may differ significantly depending on the stage of the business cycle and the company’s strategy, and the comparison of each company and its peers.
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Fundamental Analysis
TASC 2023.12 Growth and Value Switching System█ OVERVIEW
This script implements a rotation system for trading value and growth ETFs, as developed by Markos Katsanos and detailed in the article titled 'Growth Or Value?' in TASC's December 2023 edition of Traders' Tips . The purpose of this script is to demonstrate how short-term momentum can be employed to track market trends and provide clarity on when to switch between value and growth.
█ CONCEPTS
The central concept of the presented rotation strategy is based on the observation that the stock market undergoes cycles favoring either growth or value stocks. Consequently, the script introduces a momentum trading system that is designed to switch between value and growth equities based on prevailing market conditions. Specifically tailored for long-term index investors, the system focuses on trading Vanguard's value and growth ETFs ( VTV and VUG ) on a weekly timeframe.
To identify the ETF likely to outperform, the script uses a custom relative strength indicator applied to both VTV and VUG in comparison with an index ( SPY ). To minimize risk and drawdowns during bear markets, when both value and growth experience downtrends, the script employs the author's custom volume flow indicator (VFI) and blocks trades when its reading indicates money outflow . Positions are closed if the relative strength of the current open trade ETF falls below that of the other ETF for two consecutive weeks and is also below its moving average. Additionally, the script implements a stop-loss when the ETF is trading below its 40-week moving average, but only during bear markets.
The script plots the relative strengths of the value and growth equities along with the signals triggered by the aforementioned rules. Information about the current readings of the relative strength and volume flow indicators, along with the current open position, is displayed in a table.
█ CALCULATIONS
The script uses the request.security() function to gather price data for both equities and the reference index. Custom relative strength and volume flow indicators are calculated based on the formulas presented in the original article. By default, the script employs the same parameters for these indicators as proposed in the original article for VTV and VUG on a weekly timeframe.
ETF Holdings and Sectors [SS]Made this fun little indicator.
It is another showcase one, just demonstrating the ETF library that contains the top 10 holdings of various US-based ETFs, as well as a breakdown by sector.
The indicator is defaulted to auto settings. This means it will automatically populate with ETF data when you are on that ETF chart. If you are on another chart, it will disappear for which no information is available, it will disappear. (Note, it is also programmed to recognize the leveraged share versions, such as TNA, TZA, SPXL, UPRO, etc.)
However, there is another cool little function it does, which is, it will search all available ETFs in the database to find if any of them hold the ticker you are on and, if so, what percentage of the ETF is invested in that particular ticker.
We can look at some examples:
MSFT:
NVDA:
BA:
AAPL:
JPM:
And if you are on a chart that is neither an ETF or is not found in any of the databases, the indicator disappears:
It made it so you could leave it running in the background and it would do its thing.
You can also choose to manually search through the available ETFs in the list.
Another function is, that when you are on the ETF itself, it will display the past 252 (1 trading year) day return. You can modify this to any amount of days you would like in the settings.
All of the settings are customizable. You can choose what you want and don't want to be plotted.
That's the indicator in a nutshull, just something fun and interesting to play around with.
Hope you enjoy!
Safe trades everyone and thanks for reading!
Leading Industry [TrendX__]Leading Industry indicator functions like an Industry-meter, a tool that measures the strength of different industries in a country or region.
It consists of the fields of Technology, Finance, Industrial, Energy, Real-estate, and Construction.
USAGE
The Industry-meter indicates which industry is the strongest by using an arrow that points to the field with the highest score.
The default fields are set for Vietnam’s industry, but the user can customize them according to their preferences and needs.
The Industry-meter is a useful way to visualize the economic landscape and identify the opportunities and challenges in various sectors.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur.
Therefore, one should always exercise caution and judgment when making decisions based on past performance.
News AlertIntention Of This Indicator
This indicator allows you to enter daily news release times, and it will warn you before and after that news release time ( to help you stay out of trading news )
This indicator is not intended to display news releases automatically. You must manually enter the time you wish to display news in the inputs
This indicator Draw / Displays the following
A line displaying where the news release is going to happen ( only according to your time input settings )
A box that surrounds the news release ( only according to your time input settings )
A table in the bottom right corner that shows you when there is Active News ( only according to your time input settings )
Inputs
Inputs to change the aesthetics ( colours etc. )
Numeric inputs to modify the placement News / Area
Toggles to activate or deactivate features
Disclaimer
This indicator does not guaranteed to work for every instrument ( always test before use! )
This indicator is not guaranteed to be accurate, or error free.
You must manually enter the news time inputs, this indicator does not automatically show you when there is a news release
Syminfo analysisAllows you to track analysts' recommendations by symbol (both current and selected in Symbol input)
The table in the upper right corner shows information on the symbol:
1. employees count
2. shareholders count
3. shares outstanding float
4. shares outstanding total
The chart in the lower left corner shows Analyst rating from past 3 months, equivalently shows the number of analysts who say:
1. Strong buy
2. Buy
3. Hold
4. Sell
5. Strong sell
The lines pointing to the right edge of the chart show analysts' price expectations for the year:
- max price
- average price
- current price
- min price
The area between current price and max price is filled with green color
The area between min price and current price is filled in red color
Stablecoin DominanceStablecoin Dominance Indicator
The Stablecoin Dominance Indicator is a powerful tool designed to analyze the relative dominance of stablecoins within the cryptocurrency market. It utilizes a combination of regression analysis and standard deviation to provide valuable insights into market sentiment and potential turning points. This indicator is particularly useful for traders and investors looking to make informed decisions in the dynamic world of cryptocurrencies.
How to Read the Indicator:
The Stablecoin Dominance Indicator comprises three key lines, each serving a specific purpose:
Middle Line (Regression Line):
The middle line represents the Regression Line of stablecoin dominance, acting as a baseline showing the average or mean dominance of stablecoins in the market.
When the stablecoin dominance hovers around this middle line, it suggests a relatively stable market sentiment with no extreme overbought or oversold conditions.
Upper Line (2 Standard Deviations Above Mean):
The upper line, positioned 2 standard deviations above the Regression Line, indicates a significant deviation from the mean.
When stablecoin dominance approaches or surpasses this upper line, it may imply that the cryptocurrency market is experiencing oversold conditions, potentially signaling a market bottom. This is an opportune time for traders to consider increasing their exposure to cryptocurrencies.
Lower Line (2 Standard Deviations Below Mean):
The lower line, positioned 2 standard deviations below the Regression Line, shows a significant deviation in the opposite direction, indicating overbought conditions.
When stablecoin dominance approaches or falls below this lower line, it suggests overbought conditions in the market, possibly indicating a market top. Traders may consider reducing their cryptocurrency holdings or taking profits during this phase.
It's important to note that the Stablecoin Dominance Indicator should be used in conjunction with other analysis tools and strategies.
By understanding and applying the insights provided by this indicator, traders and investors can make more informed decisions in the ever-changing cryptocurrency landscape, potentially enhancing their trading strategies and risk management practices.
(Log Regression code made by @rumpypumpydumpy)
stock-price-to-usdThese script give the local stock price in usd. nothing special. I m trying to learn pine script.
Global Leaders M2Introducing the Global Leaders M2 Indicator
The Global Leaders M2 indicator is a comprehensive tool designed to provide you with crucial insights into the money supply (M2) of the world's top 10 economic powerhouses. This powerful indicator offers a wealth of information to help you make informed decisions in the financial markets.
Key Features:
Multi-Country M2 Data: Access M2 data for the world's top 10 economic leaders, including China, the United States, Japan, Germany, the United Kingdom, France, Italy, Canada, Russia, and India.
Rate of Change Analysis: Understand the rate of change in M2 data for each country and the overall global aggregate, allowing you to gauge the momentum of monetary supply.
Customizable Display: Tailor your chart to display the data of specific countries, or focus on the total global M2 value based on your preferences.
Currency Selection: Choose your preferred currency for displaying the M2 data, making it easier to work with data in your currency of choice.
Interactive Overview Table: Get an overview of M2 data for each country and the global total in an interactive table, complete with color-coded indicators to help you quickly spot trends.
Precision and Clarity: The indicator provides precision to two decimal places and uses color coding to differentiate between positive and negative rate of change.
Whether you're a seasoned investor or a newcomer to the world of finance, the Global Leaders M2 indicator equips you with valuable data and insights to guide your financial decisions. Stay on top of global monetary supply trends, and trade with confidence using this user-friendly and informative tool.
CAPM Model with Returns TableThe given Pine Script is designed to implement the Capital Asset Pricing Model (CAPM) to calculate the expected return for a specified asset over various user-defined periods and compare it with the asset's historical mean return. The core features and functionalities of the script include:
Inputs:
Benchmark Symbol: Defaulted to "CRYPTOCAP:TOTAL". This serves as a comparison metric.
Risk-free Rate: Represents the return on an investment that is considered risk-free.
Benchmark Period: Used for plotting purposes. It doesn't affect table calculations.
Period Settings: Allows users to specify four different time periods for calculations.
Functionalities:
Computes daily returns for the benchmark and asset.
Calculates beta, which represents the volatility of the asset as compared to the volatility of the benchmark.
Uses CAPM to estimate expected returns over user-defined periods.
Generates a table displaying the expected return and asset's mean return for each period.
Provides implications based on the comparison between the expected returns and the asset's historical returns. This is showcased through a mutable label that is updated with each bar.
Visualization:
Plots expected return and asset's mean return over the benchmark period.
Provides a horizontal line to represent zero return.
Use Case:
This script can be helpful for traders or analysts looking to gauge the potential return of an asset compared to its historical performance using the CAPM. The implications provided by the script can serve as useful insights for making investment decisions. It's especially beneficial for those trading or analyzing assets in the cryptocurrency market, given the default benchmark setting.
Note: Before relying on this script for trading decisions, ensure a thorough understanding of its methodology and validate its assumptions against your research.
BETA Benchmark - Tables!The indicator measures and plots the average beta of the defined periods of the selected asset, benchmarked with TOTAL.
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
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.
Crypto USD Liquidity Delta [tedtalksmacro]Calculates and plots the week-on-week (WoW), month-on-month (MoM), quarter-on-quarter (QoQ), and year-on-year (YoY) percentage changes in the aggregate stablecoin liquidity. By comparing the current liquidity with its historical values at different intervals, the script provides insights into the short-term and long-term liquidity fluctuations. Each of these percentage changes is plotted with distinct colors, enabling traders to analyze and comprehend the rate of liquidity change over various time frames.
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
Drawdown Dynamics IndicatorDescription :
The Drawdown Dynamics Indicator is a straightforward tool that offers insights into three critical aspects of an asset’s financial performance: Total Max Drawdown, Rolling Period Max Drawdown, and Current Max Drawdown. Inside of the indicator, you can select to view either the rolling period max drawdown or the all-time max drawdown. This is represented by the gray line. The blue line represents the asset's current drawdown.
Rolling Period Max Drawdown is more about a snapshot view, highlighting the maximum loss from a peak to a trough for an adjustable rolling time frame. This is a feature not available with other indicators that exist on TradingView.
Total Max Drawdown gives a broad view, showcasing the all-time deepest decline in an asset’s value.
Current Max Drawdown offers a live update, focusing on the asset's present phase and how it's performing in real-time.
Practical Uses :
The utility of this indicator becomes evident when you start exploring the risks and performance metrics of assets. A notable use of this indicator is in comparing the drawdowns of a trading strategy against the inherent drawdowns of an asset. It helps in painting a clearer picture of risk and performance of both the asset and the strategy.
Risk Understanding : By comparing the strategy drawdown to the asset drawdown, traders get to understand if the risk they’re taking aligns with the asset’s natural risk behavior.
Evaluating Strategy’s Strength : If a strategy can weather the storms of the asset's natural drawdown phases and come out relatively unscathed, it can speak to its strength.
Performance Comparison : It also acts as a benchmark tool. Traders can pit different strategies against each other, using the asset’s drawdown as a baseline, to see which one manages risks better.
Disclaimer : This is not financial advice. Open-source scripts I publish in the community are largely meant to spark ideas that can be used as building blocks for part of a more robust trade management strategy. If you would like to implement a version of any script, I would recommend making significant additions/modifications to the strategy & risk management functions. If you don’t know how to program in Pine, then hire a Pine-coder. We can help!
ETHE Premium SmoothedThis script visualizes the "premium" or "deflection" between the price of Ethereum in a fund (ETHE) and the price of Ethereum itself. It's used to detect when the ETHE fund is trading at a significant premium or discount compared to the actual value of Ethereum it represents.
Components:
Two-Pole Smoothing Function: This function acts as a filter to smoothen data, specifically the calculated deflection. Using a combination of exponential math and trigonometry, the function reduces the noise from the raw deflection data, providing a clearer view of the trend.
ETH Per Share: A constant that represents the amount of Ethereum backing each share of ETHE.
Tickers: The script fetches data for two tickers:
ETHE ticker from OTC markets.
Ethereum's ticker from Coinbase.
Deflection Calculation: This represents the difference between the price of one share of ETHE and its actual value in Ethereum. This percentage gives an idea of how much more or less the ETHE is trading compared to its intrinsic Ethereum value.
Smoothing: The raw deflection data is then passed through the Two-Pole Smoothing function to produce the "smoothed" deflection curve.
Visuals:
A horizontal dashed red line at 0%, indicating the point where ETHE trades exactly at its intrinsic Ethereum value.
A plot of the smoothed deflection, with its color changing based on whether the value is above or below zero (green for above, red for below).
Usage:
Traders can use this script to identify potential buy or sell opportunities. For instance, if ETHE is trading at a significant discount (a negative deflection value), it might be an attractive buying opportunity, assuming the discrepancy will eventually correct itself. Conversely, if ETHE is trading at a significant premium (a positive deflection value), it might indicate a potential overvaluation.
Stablecoin Supply Ratio Oscillator
The Stablecoin Supply Ratio Oscillator (SSRO) is a cryptocurrency indicator designed for mean reversion analysis and sentiment assessment. It calculates the ratio of CRYPTO:BTCUSD 's market capitalization to the sum of stablecoins' market capitalization and z-scores the result, offering insights into market sentiment and potential turning points.
Methodology:
The SSRO is calculated as follows-
method ssro(float src, array stblsrc, int len) =>
float ssr = src / stblsrc.sum() // Source of the underlying divided by the sum of stablecoin sources
(ssr - ta.sma(ssr, len)) / ta.stdev(ssr, len) // Z-Score Transformed
This ratio is Z-Scored to provide a standardized measure, allowing users to identify periods of market fear or greed based on the allocation of capital between the underlying and Stablecoins ( CRYPTOCAP:USDT , CRYPTOCAP:USDC , CRYPTO:TUSD , CRYPTOCAP:BUSD , CRYPTOCAP:DAI , CRYPTOCAP:USDD , CRYPTOCAP:FRAX ). The z-scored values indicate potential areas of discount (buying opportunities) or premium (selling opportunities) relative to historical patterns.
Customization:
Underlying Asset: SSRO is customizable to different underlying assets, offering a versatile tool for various cryptocurrencies.
Calculation Length: Users can adjust the length of the calculation, tailoring the indicator to short or long-term analysis.
Visualization: SSRO can be displayed as candles, providing a visual representation of premium and discount areas.
Interpretation:
Market Sentiment: Lower SSRO values may indicate market fear, suggesting a preference for stablecoins as a relatively safer haven for capital. Conversely, higher values may suggest market greed, as more capital is allocated to the underlying asset.
Utility and Use Cases:
1. Mean Reversion Analysis: SSRO identifies potential mean reversion opportunities, guiding traders on optimal entry and exit points.
2. Sentiment Analysis: The indicator provides insights into market sentiment, aiding traders in understanding market dynamics.
3. Macro Analysis: The majority of cryptos follow \ correlate to CRYPTO:BTCUSD , Therefore by assessing premium and discount areas of CRYPTO:BTCUSD relative to the chosen underlying asset, users gain insights into potential market tops and bottoms.
4. Divergence Analysis: SSRO divergence from price trends can signal potential reversals, providing traders with additional confirmation for their decisions.
The Stablecoin Supply Ratio Oscillator is a valuable tool for cryptocurrency traders, offering a nuanced perspective on market sentiment and mean reversion opportunities. Its customization options and visual representation make it a versatile and powerful addition to the crypto analyst's toolkit.
Support Resistance with Touch HighlightDescription:
Support Resistance with Touch Highlight is a powerful technical analysis tool designed to help traders identify key support and resistance levels in the market. Unlike traditional support and resistance indicators, this indicator utilizes a unique approach by considering multiple periods simultaneously, enhancing its accuracy and reliability.
Key Features:
- **Multi-Period Analysis:** The indicator analyzes multiple user-defined periods, allowing for a comprehensive view of support and resistance levels.
- **Average Calculation:** It calculates the average of the highest and lowest prices within the specified periods, providing a balanced representation of support and resistance zones.
- **Dynamic Highlighting:** Bars touching the support or resistance lines are highlighted, aiding traders in spotting potential reversal points.
- **Alert System:** Set custom alerts to be notified when the price touches the support or resistance lines, enabling timely decision-making.
Why It's Superior:
1. **Accuracy Through Multiple Periods:** By considering multiple periods, the indicator provides a more accurate depiction of support and resistance levels, minimizing false signals.
2. **Dynamic Highlighting:** The indicator dynamically highlights relevant bars, making it easy for traders to identify significant price interactions with support and resistance zones.
3. **Customizable Alerts:** Tailor alerts to your trading strategy, ensuring you never miss crucial market movements.
How to Use:
- **Support Zones:** Prices often bounce off the support line. Look for buying opportunities when the price touches or approaches the green support line.
- **Resistance Zones:** Prices tend to reverse near the resistance line. Consider selling or tightening stops when the price touches or nears the red resistance line.
Disclaimer:
Trading involves risk, and past performance is not indicative of future results. Always perform your analysis and consider risk management strategies before making trading decisions.
Treasury Yields Heatmap [By MUQWISHI]▋ INTRODUCTION :
The “Treasury Yields Heatmap” generates a dynamic heat map table, showing treasury yield bond values corresponding with dates. In the last column, it presents the status of the yield curve, discerning whether it’s in a normal, flat, or inverted configuration, which determined by using Pearson's linear regression coefficient. This tool is built to offer traders essential insights for effectively tracking bond values and monitoring yield curve status, featuring the flexibility to input a starting period, timeframe, and select from a range of major countries' bond data.
_______________________
▋ OVERVIEW:
______________________
▋ YIELD CURVE:
It is determined through Pearson's linear regression coefficient and considered…
R ≥ 0.7 → Normal
0.7 > R ≥ 0.35 → Slight Normal
0.35 > R > -0.35 → Flat
-0.35 ≥ R > -0.7 → Slight Inverted
-0.7 ≥ R → Inverted
_______________________
▋ INDICATOR SETTINGS:
#Section One: Table Setting
#Section Two: Technical Setting
(1) Country: Select country’s treasury yields data
(2) Timeframe: Time interval.
(3) Fetch By:
(3A) Date: Retrieve data by beginning of date.
(3B) Period: Retrieve data by specifying the number of time series back.
Enjoy. Please let me know if you have any questions.
Thank you.
Bankruptcy Risk: Altman Z-Score, Zmijewski Score, Grover GThis custom indicator calculates three common bankruptcy risk scores:
Altman Z-Score
Zmijewski Score
Grover G-Score
Altman Z-Score
Companies are in healthy condition if the Z-Score > 2.6.
Companies are in vulnerable conditions and need improvement (grey area) if the score is between 1.1 - 2.6.
Companies have the potential to lead to serious bankruptcy if the Z-Score < 1.1.
Zmijewski Score
The company has the potential to go bankrupt if the value of X Score > 0.
The company is healthy if the value of X Score < 0.
Grover Model: G-Score
The company has the potential to go bankrupt if the G Score ≤ -0.02.
The company is in good health if the value of G Score ≥ 0.001.
The indicator pulls key financial metrics and calculates each score, then displays the results in a table with color-coding based on the level of bankruptcy risk.
Users can toggle between FQ and FY periods and view details on the underlying metrics. This provides an easy way to visualize bankruptcy risk for a company and compare across different scoring models.
Useful for fundamental analysis and assessing financial health.
The financial ratios and methodology are based on research described in
"Analysis of Bankruptcy Prediction Models in Determining Bankruptcy of Consumer Goods Companies in Indonesia" (Thomas et al., 2020).
FCF / FFO / CFOA and dividends per shareThe indicator shows the Free Cashflow, Funds From Operations or Cash From Operating Activities per share and you can compare it to the dividends per share. You can see at a glance whether the dividends could be paid by one of this KPI. Please use the 12M time unit for the best result.
[dharmatech] U.S. Treasury Yield CurveThis indicator displays the U.S. Treasury Securities Yield Curve.
This is a fork of the US Treasury Yield Curve indicator by @longflat. Thank you for sharing your work!
There are already so many yield curve indicators on TradingView.
What makes this one different?
Update to version 5 of Pine Script
Add RRP%
Add 4 month
Add 20 year
Show previous day's yield curve
Options for prior yield curves
The thick red line shows the latest yield curve.
The yellow line shows the yield curve 1 bar ago.
So, if your timeframe is set to 1 day, the yellow line will show yesterday's yield curve.
