Intrinsic Value Calculator - Earnings/Dividend Yield (%)
This Intrinsic Value Calculator is a stock valuation Calculator that uses proven and science-based valuation methods to automatically estimate the intrinsic value of stocks.
What Is Intrinsic Value?
Intrinsic value is a measure of what a company's stock is worth. Intrinsic value is different from the current market price of a stock. However, comparing it to that current price can give investors an idea of whether the stock is undervalued or overvalued.
How to Calculate Intrinsic Value
To calculate the intrinsic value of a stock, we use two valuation methods: Discounted Cash Flow (DCF) Valuation and Relative Valuation. We take the average of these two methods to estimate the intrinsic value as accurately as possible.
Using Discounted Cash Flow (DCF) analysis, cash flows are estimated based on how a business may perform in the future. Those cash flows are then discounted to today’s value to obtain the company's intrinsic value. The discount rate we used is a risk-free rate of return (Fixed Deposit Interest Rate).
While intrinsic valuation models see to value a business by looking only at the company on its own, relative valuation models seek to value a business by comparing the company to other Low-Risk investment opportunities, Fixed Deposit Return.
Line Graph : Earnings Yield vs Fixed Deposit Interest Rate vs Dividend Yield
Other than automatically estimating the intrinsic value of a stock, this script would plot the Earnings Yield, Fixed Deposit Interest, and Dividend Yield of a stock.
Investors should monitor Earnings Yield, Fixed Deposit Interest, and Dividend Yield of a stock for a few key reasons:
Earnings Yield:
Earnings Yield is a crucial metric that provides insight into a company's profitability. It is calculated by dividing the company's earnings per share (EPS) by the current stock price. A higher Earnings Yield indicates that the company is generating more profit for each dollar invested by shareholders. This metric is particularly useful when comparing a company's profitability against other investment options, such as fixed deposits, bonds, or other stocks.
Fixed Deposit Interest:
The Fixed Deposit Interest Rate, also known as the risk-free rate, is the return an investor can expect from investing in a risk-free asset such as a government bond or a fixed deposit. This rate serves as a benchmark for evaluating the returns offered by other investments, including stocks.
Dividend Yield:
Dividend Yield is a measure of the annual dividend income received by an investor relative to the stock price. It is calculated by dividing the annual dividend per share by the current stock price. Dividend-paying stocks often appeal to income-oriented investors seeking regular cash flow.
Monitoring these metrics can help investors make informed decisions about their investments, assess the relative attractiveness of different investment options, and manage their investment portfolios effectively.
Key Financial Ratio display
Key investment ratios play a crucial role in helping investors make informed investment decisions. By providing valuable insights into a company's financial health, ratios such as the Gross Margin, R&D Ratio, Net Margin, Return on Equity (ROE) Ratio allow investors to quickly assess a company's profitability, liquidity, and financial stability.
Gross margin is the percentage of a company's revenue that it retains after direct expenses, such as labor and materials, have been subtracted. Gross margin is an important profitability measure that looks at a company's gross profit compared to its revenue.
The Research & Development (R&D) to Sales Ratio is a measure to compare the effectiveness of R&D expenditures between companies in the same industry. It is calculated as R&D expenditure divided by Total Sales.
The net profit margin, or simply Net Margin , measures how much net income or profit is generated as a percentage of revenue. It is the ratio of net profits to revenues for a company or business segment.
The Return on Equity (ROE) Ratio is a measure of a company's profitability and efficiency in using its shareholders' investments to generate profits. It's calculated by dividing a company's net income by its shareholder's equity. This ratio is a reflection of how well a company is utilizing its shareholders' capital to generate returns.
The Operating Cash to Debt Ratio measures the percentage of a company's total debt that is covered by its operating cash flow for a given accounting period. If the company’s ratio were higher, it would indicate a strong fiscal position, considering its cash flow from operations is higher than its total debt.
Free Cash Flow Margin is a significant financial metric that measures a company's ability to generate cash from its operations after accounting for capital expenditures. It evaluates the percentage of free cash flow relative to total revenue. A high Free Cash Flow margin suggests that a company is efficient at converting its revenue into cash flow.
Z-VALUE
Neural Network Synthesis: Trend and Valuation [QuantraSystems]Neural Network Synthesis - Trend and Valuation
Introduction
The Neural Network Synthesis (𝓝𝓝𝒮𝔂𝓷𝓽𝓱) indicator is an innovative technical analysis tool which leverages neural network concepts to synthesize market trend and valuation insights.
This indicator uses a bespoke neural network model to process various technical indicator inputs, providing an improved view of market momentum and perceived value.
Legend
The main visual component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is the Neural Synthesis Line , which dynamically oscillates within the valuation chart, categorizing market conditions as both under or overvalued and trending up or down.
The synthesis line coloring can be set to trend analysis or valuation modes , which can be reflected in the bar coloring.
The sine wave valuation chart oscillates around a central, volatility normalized ‘fair value’ line, visually conveying the natural rhythm and cyclical nature of asset markets.
The positioning of the sine wave in relation to the central line can help traders to visualize transitions from one market phase to another - such as from an undervalued phase to fair value or an overvalued phase.
Case Study 1
The asset in question experiences a sharp, inefficient move upwards. Such movements suggest an overextension of price, and mean reversion is typically expected.
Here, a short position was initiated, but only after the Neural Synthesis line confirmed a negative trend - to mitigate the risk of shorting into a continuing uptrend.
Two take-profit levels were set:
The midline or ‘fair value’ line.
The lower boundary of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicators valuation chart.
Although mean-reversion trades are typically closed when price returns to the mean, under circumstances of extreme overextension price often overcorrects from an overbought condition to an oversold condition.
Case Study 2
In the above study, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is applied to the 1 Week Bitcoin chart in order to inform long term investment decisions.
Accumulation Zones - Investors can choose to dollar cost average (DCA) into long term positions when the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicates undervaluation
Distribution Zones - Conversely, when overvalued conditions are indicated, investors are able to incrementally sell holdings expecting the market peak to form around the distribution phase.
Note - It is prudent to pay close attention to any change in trend conditions when the market is in an accumulation/distribution phase, as this can increase the likelihood of a full-cycle market peak forming.
In summary, the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator is also an effective tool for long term investing, especially for assets like Bitcoin which exhibit prolonged bull and bear cycles.
Special Note
It is prudent to note that because markets often undergo phases of extreme speculation, an asset's price can remain over or undervalued for long periods of time, defying mean-reversion expectations. In these scenarios it is important to use other forms of analysis in confluence, such as the trending component of the 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator to help inform trading decisions.
A special feature of Quantra’s indicators is that they are probabilistically built - therefore they work well as confluence and can easily be stacked to increase signal accuracy.
Example Settings
As used above.
Swing Trading
Smooth Length = 150
Timeframe = 12h
Long Term Investing
Smooth Length = 30
Timeframe = 1W
Methodology
The 𝓝𝓝𝒮𝔂𝓷𝓽𝓱 indicator draws upon the foundational principles of Neural Networks, particularly the concept of using a network of ‘neurons’ (in this case, various technical indicators). It uses their outputs as features, preprocesses this input data, runs an activation function and in the following creates a dynamic output.
The following features/inputs are used as ‘neurons’:
Relative Strength Index (RSI)
Moving Average Convergence-Divergence (MACD)
Bollinger Bands
Stochastic Momentum
Average True Range (ATR)
These base indicators were chosen for their diverse methodologies for capturing market momentum, volatility and trend strength - mirroring how neurons in a Neural Network capture and process varied aspects of the input data.
Preprocessing:
Each technical indicator’s output is normalized to remove bias. Normalization is a standard practice to preprocess data for Neural Networks, to scale input data and allow the model to train more effectively.
Activation Function:
The hyperbolic tangent function serves as the activation function for the neurons. In general, for complete neural networks, activation functions introduce non-linear properties to the models and enable them to learn complex patterns. The tanh() function specifically maps the inputs to a range between -1 and 1.
Dynamic Smoothing:
The composite signal is dynamically smoothed using the Arnaud Legoux Moving Average, which adjusts faster to recent price changes - enhancing the indicator's responsiveness. It mimics the learning rate in neural networks - in this case for the output in a single layer approach - which controls how much new information influences the model, or in this case, our output.
Signal Processing:
The signal line also undergoes processing to adapt to the selected assets volatility. This step ensures the indicator’s flexibility across assets which exhibit different behaviors - similar to how a Neural Network adjusts to various data distributions.
Notes:
While the indicator synthesizes complex market information using methods inspired by neural networks, it is important to note that it does not engage in predictive modeling through the use of backpropagation. Instead, it applies methodologies of neural networks for real-time market analysis that is both dynamic and adaptable to changing market conditions.
LV Stock Valuation by Benjamin Graham's FormulaBenjamin Graham's stock valuation formula for growth companies is based on the principle that a stock is a part of a business, and that by analyzing the fundamentals of any company in the stock market, you should be able to derive its intrinsic value independent from its current stock price. Graham suggests that over the long-term, the stock price of a company and its intrinsic/fair value will converge towards each other until the stock price reflects the true value of the company. Finally, Graham recommends that after estimating the intrinsic value of a stock, investors should always purchase the stock with a "margin of safety," to protect oneself from assumptions and potential errors made in the valuation process.
Graham's stock valuation formula to calculate intrinsic value was originally shown in the 1962 edition of Security Analysis as follows:
V = EPS * (8.5 + 2g)
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company
g = reasonably expected annual growth rate (over the next 7-10 years)
In 1974, Graham revised this formula, as published in The Intelligent Investor, to include a discount rate (aka required rate of return). This was after he concluded that the greatest contributing to stock values and prices over the past decade had been due to interest rates.
Graham's current stock valuation formula is shown below:
V = (EPS * (8.5 + 2g) * Z) / Y
where:
V = intrinsic value per share (over the next 7-10 years)
EPS = diluted earnings per share (over the trailing twelve months (TTM))
8.5 = price-to-earnings (P/E) base for a no-growth company (you can change it manually)
g = reasonably expected annual growth rate (calculated by 5-Yr EPS CAGR%) (you can change year period)
Z = average yield of XXX Bonds (4.4 is default on Graham's formula)
Y = current yield of XXX Bonds
Current bond yield values (Z and Y) are selected as an example from Turkey. You need to change it according to the country of stocks.
Buy price (BP) = Intrinsic value per share * (1 - Margin of safety %)
Margin of safety = selected 20% (you need to change it to 0, if you don’t want to use margin of safety and to see intrinsic value)
Buy price > Current market price: Consider buying the stock, as the current market price appears to be undervalued.
Buy price < Current market price: Consider selling or not buying the stock, as the current market price appears to be overvalued.
Keep in mind that this buy/sell recommendation is purely based on Graham's stock valuation formula and the current market price, and ignores all other fundamental, news, and market factors investors should examine as well before making an investment decision.
Buy price is calculated for 5 different P/E values in the script.
1. with fixed P/E
2. with current P/E
3. with forward P/E
4. with sector P/E (optional)
5. with index P/E (optional)
You can also do calculations by using different growth rate by selecting that option.
Different type of moving averages is also included in the script as an option.
ROCE with 3-Year EMAThis Pine Script indicator, "3-Year EMA of Return on Capital Employed (ROCE)," is designed for investors and traders who incorporate both fundamental and technical analysis in their market approach. ROCE is a crucial metric for evaluating the efficiency and profitability of a company's capital employment. Our script enhances this analysis by overlaying a 3-year Exponential Moving Average (EMA) on the ROCE, allowing users to compare current performance against a longer-term trend.
Key Features:
ROCE Calculation: The script calculates the Return on Capital Employed (ROCE) using EBIT (Earnings Before Interest and Taxes) for the Trailing Twelve Months (TTM) and Capital Employed (Total Assets minus Short Term Debt) for the Fiscal Year (FY). This calculation provides a snapshot of how effectively a company is using its capital to generate profits.
3-Year EMA Overlay: The script features a 3-year EMA of the ROCE, providing a smoothed, long-term trend line. This EMA helps in identifying broader trends in a company's operational efficiency and profitability, making it easier to spot deviations from the historical norm.
Customizable for Different Data Frequencies: Whether your data is quarterly, monthly, or weekly, the script is adaptable. The length of the EMA is adjustable to suit the data frequency, ensuring accurate representation over a 3-year period.
Visualization: The ROCE and its 3-year EMA are plotted with distinct colors for easy comparison and analysis. This visual representation aids in quickly assessing the company's current performance against its historical trend.
Customization: Users can adjust the EMA length to match the frequency of their data (e.g., 12 for quarterly, 36 for monthly, 156 for weekly data).
Usage Tips:
Best used on companies with stable and consistent reporting.
Combine with other fundamental and technical indicators fo
r comprehensive analysis.
Disclaimer: This script is provided for informational and educational purposes only and should not be construed as investment advice.
MicroStrategy / Bitcoin Market Cap RatioThis indicator offers a unique analytical perspective by comparing the market capitalization of MicroStrategy (MSTR) with that of Bitcoin (BTC) . Designed for investors and analysts interested in the correlation between MicroStrategy's financial performance and the Bitcoin market, the script calculates and visualizes the ratio of MSTR's market capitalization to Bitcoin's market capitalization.
Key Features:
Start Date: The script considers data starting from July 28, 2020, aligning with MicroStrategy's initial announcement to invest in Bitcoin.
Data Sources: It retrieves real-time data for MSTR's total shares outstanding, MSTR's stock price, and BTC's market capitalization.
Market Cap Calculations: The script calculates MicroStrategy's market cap by multiplying its stock price with the total shares outstanding. It then forms a ratio of MSTR's market cap to BTC's market cap.
Bollinger Bands: To add a layer of analysis, the script includes Bollinger Bands around the ratio, with customizable parameters for length and multiplier. These bands can help identify overbought or oversold conditions in the relationship between MSTR's and BTC's market values.
The indicator plots the MSTR/BTC market cap ratio and the Bollinger Bands, providing a clear visual representation of the relationship between these two market values over time.
This indicator is ideal for users who are tracking the impact of Bitcoin's market movements on MicroStrategy's valuation or vice versa. It provides a novel way to visualize and analyze the interconnectedness of a leading cryptocurrency asset and a major corporate investor in the space.
Financials - Quick OverviewThis unique indicator is designed to provide traders and investors with a concise yet comprehensive view of a company's financial health and sector classification. It features an intuitive table displayed prominently on the chart, offering a blend of essential company information and key financial metrics. This tool is ideal for those looking to integrate fundamental analysis into their technical trading strategy.
Key Features:
Company Sector Information: Get a quick glimpse of the company's industry sector, aiding in understanding its market position and comparative performance within its industry.
Financial Overview: The table includes vital financial data such as Earnings and Sales, providing insights into the company's revenue and profitability.
Growth Metrics: Track both quarter-over-quarter (QoQ) and year-over-year (YoY) growth, offering a dynamic view of the company's performance over time.
Operating Margin Percentage (OPM%): Understand the efficiency of the company's operations with the OPM%, which indicates the proportion of revenue that remains after paying for variable costs of production.
Price-to-Earnings (PE) Ratio: Assess the company's stock value relative to its earnings, an essential metric for valuation and comparative analysis within the sector.
Usage: This indicator is particularly useful for investors and traders who incorporate fundamental analysis into their decision-making process. By providing key financial data directly on the chart, it allows for a more integrated approach to technical and fundamental analysis. The indicator is designed to be straightforward and easy to interpret, making it suitable for both seasoned investors and those new to financial analysis.
Free cash flow yieldThis script shows
- FCF Yield Net based on enterprise value. See reference: www.investopedia.com
- FCF Yield Diluted: which reduced CFC net by dilution amount.
- FCF % change.
This should give you a good overview on how well the company is at growing FCF and how efficiently they are creating FCF.
V Shape Rebound - Valuation / Undervalued ZoneThe Indicator is a tool designed to assist value investors(short, middle, long) in identifying potential undervalued market opportunities.
How to Use:
The valuation level and valuation method can be adapted to individual risk management and capital management.
Observe Bottom Price: Using the system's historical data and V-bounce indicator, observe if a company is at the bottom of the price to show that it is undervalued.
The valuation levels are categorized into deep undervalue, light undervalue, and bullish retracement levels, and deep and light undervalue are usually used as buy positions.
Real-time Alerts: Users can set up real-time alert functionality to ensure they do not miss potential undervalued investment opportunities.
Combined with FIE Indicator: The indicator can be used in conjunction with the Financial Fundamental Intelligent Evaluation(FIE) indicator to provide investors with more comprehensive and accurate decision-making support.
**There are 8 key elements that must be adhered to before investing,
healthy financial position,
stable profitability,
stable cash flow,
good management quality,
no suspicion of accounting fraud,
undervalued price,
positive industry position and
strong competitive advantage
**It is important to ensure that the FIE's main indices are high average score and low score volatility.
The main indices include:
Comprehensive,
Compressive Strength,
Borrowing Capability,
Profitability,
Liquidity,
Leverage or debt,
Secondary indices include:
Quality of Earning,
Receivability,
Auxiliary indices greater than score 30~50 can indicate that Profitability is very solid.
Example 01
NYSE:TPL
Example 02
NASDAQ:AMAT
Example 03
NASDAQ:NVDA
Example 04
NASDAQ:USLM
Example 05
NASDAQ:CPRT
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.
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.
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.
Fair Value by MMEnglish
IMPORTANT NOTICE
This indicator is used to find fair value based on historical data. Past growth data may not be sustainable, which will cause the price targets given by the indicator to be inaccurate. Any price on this indicator cannot be considered as investment advice. Trading decisions are the responsibility of the person using the indicator.
What is the Fair Value by MM indicator?
This is an indicator that tries to find the fair value of a stock by looking at its historical data and growth over a certain period of time. By analyzing a stock's historical growth data, it generates a fair value and potential price estimate.
The indicator presents the financial data of a stock with 3 different data sets.
1. Summary and Valuation
2. Average Quarterly Growth
3. Profit margins
** Number of Lookback Periods for Quarters **
The first input of the indicator is where you specify how many quarters back to value the stock. By default, it is based on the last 12 quarters, i.e. 3 years. Since there is not enough historical data for newly listed companies, you can change this figure according to the company you are analyzing.
** Show Summary **
The Indicator starts in this mode by default. This mode gives you data such as sales, EBITDA, EBIT, net profit and free cash flow in PER SHARE and TTM values. The reason for using per share values is that a company's price is per share, and it saves you time to look at all other metrics on a per share basis. For example, if a company with a share price of $10 has sales per share of $5, we can say that this company has generated half of its market capitalization in sales revenue in the last 1 year.
In the indicator's default mode (Show Summary);
1. Sales per share TTM (Red)
2. EBITDA per share TTM (Orange)
3. EBIT per share TTM (Yellow)
4. Net Income per share TTM (Blue)
5. Free Cash Flow per share TTM (Green)
6. Share close price (White)
7. Fair value of the share (Green if price is below fair value, Red if price is above fair value)
8. Price target for the next 12 months (Yellow)
** Show AVG Growth QoQ **
When this option is selected, you can see the average quarterly growth in sales, EBITDA, EBIT, net profit and free cash flow, respectively, over the period you have selected (e.g. the last 12 quarters). This data gives an idea about the company's growth and the pace of its growth.
** Show Profit Margins **
When this option is selected, you can see gross profit margin, EBITDA margin, EBIT margin, net profit margin and free cash flow margin data respectively. It provides a quick overview to determine whether the company is increasing revenue by narrowing profit margins or increasing both revenue growth and profit margins.
** Include Sales **
When this option is selected, sales revenues are included in the company's valuation.
** Include Ebitda **
When this option is selected, EBITDA is included in the valuation of the company.
** Include Ebit **
When this option is selected, EBIT is included in the valuation of the company.
** Include Net Profit **
When this option is selected, net profit is included in the valuation of the company.
** Include FCF **
When this option is selected, free cash flow is included in the valuation of the company.
By default, the valuation is based on sales, EBITDA and EBIT. Net profit and free cash flow can be optionally selected. Or the metrics you do not want can be excluded from the valuation calculation.
What do the colors mean?
** Red **
Represents the company's data related to the company's sales.
** Orange **
Represents the company's data related to the company's EBITDA.
** Yellow **
Represents the company's data related to the company's EBIT.
** Blue **
Represents the company's data related to the company's Net Income.
** Green **
Represents the company's data related to the company's Free Cash Flow.
Turkish
ÖNEMLİ UYARI
Bu indikatör geçmiş verileri baz alarak adil değer bulmaya yarar. Geçmişte oluşan büyüme verileri sürdürelebilir olmayabilir, bu da indikatörün verdiği fiyat hedeflerinin yanılmasına sebep olacaktır. Bu indikatör üzerinde yer alan herhangi bir fiyat, yatırım tavsiyesi kapsamında değerlendirilemez. Alım/satım kararları indikatörü kullanan kişinin sorumluluğundadır.
Fair Value by MM indikatörü nedir?
Bu bir hissenin belirli bir periyotu kapsayan geçmiş verilerine ve gelişimlerine bakarak adil değerini bulmaya çalışan bir indikatördür. Bir hissenin geçmiş büyüme verilerini analiz ederek adil değer ve potansiyel fiyat tahmini oluşturur.
İndikatör bir hissenin finansal datasını 3 farklı veri seti ile sunmaktadır.
1. Özet ve Değerleme
2. Ortalama Çeyreklik Büyümeler
3. Kar marjları
** Number of Lookback Periods for Quarters **
İndikatörün ilk input’u, hisseyi değerlemek için kaç çeyrek geriye bakacağınızı belirttiğiniz kısımdır. Varsayılan olarak son 12 çeyrek, yani 3 yılı baz alır. Yeni arz olmuş şirketlerde yeterli geçmiş veri bulunmadığı için bu rakamı incelediğiniz şirkete göre değiştirebilirsiniz.
** Show Summary **
İndikatör varsayılan olarak bu modda başlar. Bu mod, satışlar, favök, esas faaliyet karı, net kar ve serbest nakit akışı gibi verileri HİSSE BAŞINA ve YILLIKLANDIRILMIŞ değerleri ile size verir. Hisse başına değerlerin kullanılmasındaki sebep, bir şirketin fiyatı hisse başınadır, ve diğer tüm metriklere hisse başına bakmak size zaman kazandırır. Örneğin, hisse fiyatı $10 olan bir şirketin, hisse başına satışları $5 ise, bu şirket son 1 yılda piyasa değerinin yarısı kadar satış geliri elde etmiş diyebiliriz.
İndikatörün varsayılan modunda (Show Summary);
1. Hisse başına yıllıklandırılmış Satışlar (Kırmızı)
2. Hisse başına yıllıklandırılmış FAVÖK (Turuncu)
3. Hisse başına yıllıklandırılmış Esas Faaliyet Karı (Sarı)
4. Hisse başına yıllıklandırılmış Net Kar (Mavi)
5. Hisse başına yıllıklandırılmış Serbest Nakit Akışı (Yeşil)
6. Hisse kapanış fiyatı (Beyaz)
7. Hissenin adil değeri (Fiyat Adil değerin altında ise Yeşil, Üstünde ise Kırmızı)
8. Önümüzdeki 12 aylık fiyat hedefi (Sarı)
** Show AVG Growth QoQ **
Bu seçenek seçildiğinde, sırası ile satışlar, favök, esas faaliyet karı, net kar ve serbest nakit akışının, seçmiş olduğunuz periyotta (örneğin son 12 çeyrek), çeyreklik olarak ortalama % kaç büyüdüğünü görebilirsiniz. Bu veri, şirketin gelişimi ve gelişim hızı hakkında fikir vermektedir.
** Show Profit Margings **
Bu seçenek seçildiğinde, sırası ile brüt kar marjı, favök marjı, esas faaliyet kar marjı, net kar marjı ve serbest nakit akışı marjı verilerini görebilirsiniz. Şirketin karlılık marjlarını daraltarak mı gelirini arttırdığını yoksa hem gelir artışı hem de kar marjlarını arttırdığını tespit etmek için hızlı bir bakış sunar.
** Include Sales **
Bu seçenek seçildiğinde, şirketin değerlemesine satış gelirleri dahil edilir.
** Include Ebitda **
Bu seçenek seçildiğinde, şirketin değerlemesine favök dahil edilir.
** Include Ebit **
Bu seçenek seçildiğinde, şirketin değerlemesine esas faaliyet karları dahil edilir.
** Include Net Profit **
Bu seçenek seçildiğinde, şirketin değerlemesine net kar dahil edilir.
** Include FCF **
Bu seçenek seçildiğinde, şirketin değerlemesine serbest nakit akışı dahil edilir.
Varsayılan olarak, satışlar, favök ve esas faaliyet karı üzerinden değerleme yapılır. Net kar ve serbest nakit akışı isteğe göre seçilebilir. Ya da istemediğiniz metrikler değerleme hesaplamasından çıkarılabilir.
Renkler ne anlama geliyor?
** Kırmızı **
Şirketin satışları ile ilgili verilerini temsil eder.
** Turuncu **
Şirketin favök’ü ile ilgili verilerini temsil eder.
** Sarı **
Şirketin esas faaliyet karı ile ilgili verilerini temsil eder.
** Mavi **
Şirketin net karı ile ilgili verileri temsil eder.
** Yeşil **
Şirketin serbest nakit akışı ile ilgili verilerini temsil eder.
FVG w/ Fibs [QuantVue]The "FVG w/ Fibs" indicator is a trading tool designed to identify and visualize Fair Value Gaps (FVGs) while overlaying two Fibonacci retracement levels.
• Bullish FVG: Occurs when the low of the current bar is higher than the high of two bars ago, and the previous close is higher than the high of two bars ago.
• Bearish FVG: Occurs when the high of the current bar is lower than the low of two bars ago, and the previous close is lower than the low of two bars ago.
The indicator filters these gaps based on user-defined criteria such as the minimum percentage size of the gap.
Once identified, these FVGs are highlighted on the chart using customizable boxes and the 50% and 61.8% (default settings) Fibonacci retracement levels are calculated and drawn based on the size of the identified FVG.
• Dynamically updates and extends the boxes as the price evolves.
• Alerts / visual changes for FVGs that get filled.
• User option for fills by Wicks or Close
• User-customizable settings for box colors, styles, and Fibonacci level appearances
Give this indicator a BOOST and COMMENT your thoughts!
We hope you enjoy.
Cheers!
Inflation-adjusted performanceOVERVIEW
The Inflation-adjusted performance indicator plots an adjusted closing price for the asset
on the main chart by multiplying the asset price by an inflation factor which is derived from CPI-U. The indicator has a `lookback` length, which is used to lookup the CPI-U index value from `lookback` years ago.
The inflation adjusted price is then calculated as `inflationAdjustedPrice = CPIToday / CPIBackThen * currentPrice`
CONCEPTS
This can be a useful tool to assess how an asset has performed as a store of value and inflation hedge over a given period.
The following are the key concepts and user inputs for the oscillator:
Input: The user can specify the lookback period, in years, using the `lookback` attribute on the settings widget. Defult is 13.
CPI Data: The indicator uses CPI data from tradingview's BLS feed.
Inflation Factor: An inflation factor is calculated by dividing today's CPI by the CPI from the lookback period. This factor represents the increase in prices due to inflation over the lookback period.
Inflation-adjusted Price: The offer price of the asset from `lookback` years ago is adjusted for inflation using the calculated inflation factor. This adjusted price represents what the offer price would be today if it had kept up with inflation.
Earnings Yield SpreadThe Earnings Yield Spread might offer an investor some insight into areas of value.
Earnings yield is the ratio of Diluted earnings per share over the trailing twelve months (TTM) to the company’s share price. Earnings yield shows how much the company has earned per share as a percentage of its share price. It shows investors how much yield they are getting in earnings in return for owning the stock at its current share price. (Thank you, TradingView)
One might wonder how the earnings yield on their investment compares to the yield on a US 10 year treasury bond. The Earnings Yield Spread indicator will read above zero if the stock in question earnings yield is higher than US10Y and will read below zero if the stock in question earnings yield is lower than the US10Y.
Earnings yield is relative to the stock in question, so comparisons should be drawn to its own historical reading and not to other symbols.
P/E RatioPlots the P/E Ratio with highest, lowest and average, as well as two ranges, 25-20 & 20-0 considered as the regular P/E Range
Fundamental ScreenerThis indicator is designed to compare the year-over-year earnings and sales growth, as well as the P/E ratio of up to 10 stocks simultaneously .
This provides valuable insights into the fundamental performance of multiple stocks at the same time, allowing traders to quickly identify which stocks are outperforming or underperforming their peers.
The earnings and sales growth figures are calculated on a year-over-year basis , comparing the most recent quarter to the same quarter 1 year ago.
The P/E ratio is a valuation metric that measures a company's stock price relative to its trailing twelve months earnings per share.
By comparing these three key metrics across multiple stocks, traders can quickly identify which stock in a group has superior fundamentals.
Customization
Chose to compare 5 or 10 symbols
Table position, color, and size
Median Value TradedThe Median Value Traded script is an indicator that allows traders to visualize the median value traded for a particular asset. The median value traded is an important metric as it provides a clearer understanding of the trading activity for an asset, which can be used to inform trading strategies.
To use this script, simply add it to your chart and adjust the "Lookback Period" input as desired. The "Lookback Period" input determines the number of bars used in the median calculation, with a default value of 20.
The median value traded is calculated by taking the product of the volume and closing price for each bar in the lookback period, calculates the median value, and then divides by one million for easier readability.
The script also includes color inputs for the positive and negative columns, allowing traders to customize the appearance of the plot to their liking.
Overall, the Median Value Traded script is a useful tool for traders looking to gain a deeper understanding of trading activity for a particular asset.
Dividend Percentile RankWhat it does
The Indicator plots the percentile rank of the current dividend yield within the configured lookback timeframe. A percentile rank of 80 means that in 80% of the time within the lookback period the dividend yield was below the current yield. And in the remaining 20% of the time it was above the current yield. While a percentile rank of 0 means that the current dividend yield is below all historical dividend yields within the lookback timeframe.
You can configure three values:
1. Lookback Trading Days: This is the timeframe of past trading days that are used to calculate the percentile rank. The default value is 765 days (~3years) while one trading year is about 252 days.
2. Buy threshold in %: Configures the green zone of the Dividend Percentile Chart
3. Buy threshold in %: Configures the red zone of the Dividend Percentile Chart
How it works
First, the Dividend Yield is calculated. After that, the dividend Yield is used to calculate the percentage rank within the configured lookback period. The result is plotted depending on the configured threshold zones.
What you can use it for
The Dividend Percentile Rank is plotted as an oscillator that oscillates between 0 and 100.
High values, e.g. above 80, can be considered as a buy signal as the current dividend yield is high in comparison to past dividend yields.
Low values, e.g. below 20, can be considered as a sell signal as the current dividend yield is lower in comparison to past dividend yields.
(PS: Always take into consideration to evaluate the companies ability to continue paying dividends in the future. The yield alone is no guarantee for high returns)
Grenblatt Magic FormulaThe magic formula is an investing strategy created by Joel Greenblatt that focuses on finding the best price to buy certain companies in order to maximize returns. When Greenblatt coined the term magic formula investing, his portfolio had a return of 24% from 1998 to 2009.
This means that $10,000 invested at 24% for the period would have turned into just over $1 million. A fund based on the S&P 500 index for the same period would have turned that $10,000 into just under $75,000.1
Note
Bigger returns matter, especially over long periods, due to the power of compounding.
Others who ran their own experiments were not able to duplicate Greenblatt's high returns but still yielded positive results. As a result, investing experts agree that the strategy of magic formula investing outperforms the indexes. In most cases, though, it doesn't seem to beat indexes by as much as Greenblatt indicated when he introduced the concept in his book, The Little Book That Beats the Market.
There are two ratios in the magic formula. The first is the earnings yield: EBIT /EV. This is earnings before interest and taxes divided by enterprise value.A simpler and more common version of this ratio is earnings /price. Greenblatt prefers EBIT over earnings , because EBIT more accurately compares companies with different tax rates. EV is preferred to share price because EV also factors in the company's debt. Therefore, EBIT /EV provides a better picture of overall earnings than earnings /price.
The second ratio is return on capital, which is EBIT /(Net Fixed Assets + Working Capital)
The first ratio looks at earnings before interest and taxes compared to enterprise value. The second ratio focuses on the earnings relative to tangible assets. Many assets listed on the balance sheet depreciate over time as their usefulness is used up. These types of assets are called "fixed assets."
Net fixed assets are fixed assets minus all the accumulated depreciation and any liabilities associated with the asset. This gives a more accurate sense of the real value of a company's assets, compared to just looking at the total asset number on the balance sheet . Working capital is also part of this ratio and is current assets minus current liabilities. This gives a picture of whether the company is likely able to continue operations in the short term.
While the two ratios in the magic formula look small, they actually are computing a lot of data about the inner workings of a company, including:
Earnings
Interest
Tax rates
Equity price
Debt
Depreciation of assets
Current assets
Current liabilities
Overvalued/Undervalued OverlayThis indicator will tell you whether the security you are looking at is overvalued or undervalued using a company's total assets and their market cap. In theory, a company's total assets is everything that they own, which then should technically be how much the company is worth. Therefore, if the company's market cap is higher than their total assets, the indicator will read "Overvalued by X%". However, if the company's market cap is lower than their total assets, the indicator will read "Undervalued by X%". If you have any questions, feel free to let me know. Keep in mind that this indicator should be only used for long-term investing.
Valuation RainbowValuation Rainbow
© danny_peanuts
Stock value based on Book Value, Earnings, Dividends and Money Multiplier
SV = (BVPS + EPS + DPS) * MM
BVPS = Book Value Per Share
EPS = Earnings Per Share
DPS = Dividends Per Share
MM = Money Multiplier - Integer Number from 1,2,3, ... ,7
There are multiple ways of valuing the stock. Book value is traditionally used as the basic valuation since it's calculate the total asset value minus the liabilities of any company. There are valuation based on multiplication of book value, there are valuation based on multiplication of earnings, and valuation based on multiplication of dividends. Here I'm proposing valuation based on all of these combined. So this indicator is measuring stock value based on multiplication of book value plus earning plus dividend per share. Since the money supply could have an multiplication effect so does the stock value could have a multiplication effect. Also notes that some blue chips stock tends to value higher than startup stock due to money is not equally distributed. So for simplicity I will use simple integer number to represent this multiplication effect as rainbow color plots, thus it can be applied to any stock at any given countries. The higher the stock price on valuation bands the most expensive it is and the lower the price on valuation bands the cheaper it is.
