MMRI Chart (Primary)The **Mannarino Market Risk Indicator (MMRI)** is a financial risk measurement tool created by financial strategist Gregory Mannarino. It’s designed to assess the risk level in the stock market and economy based on current bond market conditions and the strength of the U.S. dollar. The MMRI considers factors like the U.S. 10-Year Treasury Yield and the Dollar Index (DXY), which indicate investor confidence in government debt and the dollar's purchasing power, respectively.
The formula for MMRI uses the 10-Year Treasury Yield multiplied by the Dollar Index, divided by a constant (1.61) to normalize the risk measure. A higher MMRI score suggests increased market risk, while a lower score indicates more stability. Mannarino has set certain thresholds to interpret the MMRI score:
- **Below 100**: Low risk.
- **100–200**: Moderate risk.
- **200–300**: High risk.
- **Above 300**: Extreme risk, indicating market instability and potential downturns.
This tool aims to provide insight into economic conditions that may affect asset classes like stocks, bonds, and precious metals. Mannarino often updates MMRI scores and risk analyses in his public market updates.
Financial
PE Ratio Intrinsic ValueThe "Median PE Ratio and Intrinsic Value" indicator is designed for traders and investors who wish to evaluate the intrinsic value of a stock based on a comparative analysis of Price-to-Earnings (PE) ratios across multiple stocks. This tool not only provides insights into whether a stock is undervalued or overvalued but also allows you to visualize the intrinsic value directly on the chart.
Comparison Across Multiple Stocks:
This indicator calculates the PE ratio for up to five different stocks, allowing you to compare the target stock's valuation against four other same sector companies. By default, the stocks included are Apple (AAPL), Google (GOOG), Microsoft (MSFT), and Amazon (AMZN), but you can customize these symbols to fit your analysis needs.
Dynamic PE Ratio Calculation:
The indicator calculates the PE ratio for each stock by dividing the current price by the earnings per share (EPS). The EPS data is retrieved based on the selected period, which can be one of the following:
FY (Fiscal Year)
FH (Fiscal Half-Year)
FQ (Fiscal Quarter)
TTM (Trailing Twelve Months)
You can easily switch between these periods using the provided input options, enabling a more customized analysis based on your preferred financial timeframe.
Once the PE ratios for the selected stocks are computed, the indicator calculates the average PE ratio. The average value is a robust measure that reduces the influence of outliers and provides a balanced view of market valuation.
The intrinsic value of the stock on the chart is calculated by multiplying its EPS by the median PE ratio of the selected stocks. This gives you an estimate of what the stock should be worth if it were to trade at a fair valuation relative to the chosen peers.
The intrinsic value is plotted directly on the price chart as a step line with breaks. This step line style is chosen to represent changes in intrinsic value clearly, with breaks indicating periods where the calculated value is not valid (e.g., negative intrinsic value). Only positive intrinsic values are displayed, helping you focus on meaningful data.
You can easily customize the stocks analyzed by entering the ticker symbols of your choice. Additionally, the indicator allows you to adjust the timeframe for EPS data, giving you flexibility depending on whether you are focused on long-term trends or shorter financial periods.
How to Use:
Compare the current stock price to the plotted intrinsic value. If the current price is below the intrinsic value, the stock may be undervalued. Conversely, if the price is above the intrinsic value, the stock might be overvalued. By comparing your stock against major market players, you can gauge whether it's trading at a premium or discount relative to other key companies in the sector. Use the period selection (FY, FQ, TTM) to adapt your analysis to different market conditions or earnings cycles, giving you more control over your valuation assessment.
Ideal For:
Long-term Investors looking to assess the intrinsic value of a stock based on comparative analysis.
Fundamental Analysts who want to combine multiple stocks' PE ratios to estimate a fair valuation.
Value Investors interested in finding undervalued opportunities by comparing the market price to intrinsic value.
Financials ScoreThe Pine Script you've provided is designed to compute and display a "Financials Score" for a security based on several key financial metrics. This script is structured to run as an independent indicator on the TradingView platform, appearing in a separate pane rather than overlaying on the main price chart. Here's a breakdown of the script's components and functionality:
User Inputs
- **Period Selection**: Users can choose between 'FQ' (Financial Quarter) and 'FY' (Financial Year) to specify the period for which financial data should be considered.
- **Display Settings**: Allows customization of the table's appearance with inputs for text size, text color, data text color, and panel background color. These inputs help tailor the visual representation to the user's preferences.
- **Table Position**: Users can choose where to position any table within the indicator pane from several options like top left, top center, top right, etc.
- **Show Status Column**: A boolean input to decide whether to show an additional status column in any table outputs.
### Financial Metrics
The script retrieves various financial data points using the `request.financial` function. The data retrieved includes:
- **Operating Margin** (`opmar`)
- **Earnings Per Share (Basic)** (`eps`)
- **Price to Earnings Ratio** (`pe_ratio`)
- **Price to Book Ratio** (`pb_ratio`)
- **Debt to Equity Ratio** (`de_ratio`)
- **Return on Equity Adjusted to Book Value** (`roe_pb`)
- **Piotroski F-Score** (`fscore`)
### Scoring Logic
A scoring system is implemented where each financial metric contributes points to a total score based on specified conditions:
- **Operating Margin**: +20 points if greater than 20%.
- **EPS**: +20 points if greater than 0.
- **P/E Ratio**: +10 points if between 0 and 20.
- **P/B Ratio**: +10 points if less than 3.
- **D/E Ratio**: +10 points if less than 0.8.
- **ROE/PB Ratio**: +20 points if greater than 5.
- **F-Score**: +10 points if greater than 5.
The script uses ternary operators to conditionally add points to the `total_score` variable based on these criteria.
### Output
- **`plot` function**: The total score is plotted as a line graph in the indicator pane, allowing users to visually track the financial health score over time.
### Overall Functionality
This script is valuable for investors or traders who want to quickly assess the financial health of a company using key metrics and visualize this assessment directly within the TradingView interface. The score provides a simplified aggregate view that can aid in making investment decisions based on financial fundamentals.
Financial DeepeningFinancial Deepening is defined as increases in the ratio of a country's financial assets to its GDP. It has the effect of increasing liquidity. Having access to money can provide more opportunities for investment growth. If done properly financial deepening can increase the country's resilience and boost economic growth.
US Money Supply M2 / US GDP. (ratio)
Price RatiosJust a handy financial ratio bar where you can quickly view key price ratios.
Position, text size and color combinations can be set from input settings. Header is readjusted according to the table position chosen.
For example, if position selected as top-center or bottom-center or middle-center, orientation of the table will be horizantal and would display like this:
Otherwise, table will have vertical orientation like this:
You can also move it to new panel and use it along with other financials scripts such as:
Relative-Growth-Screen
Quality-Screen
With that, your screen would look something like this:
Financial Highlights [Fundamentals]█ OVERVIEW
This indicator plot basic key financial data to imitate the presentation format of several popular finance site, make it easier for a quick glance of overall company financial health without switching tabs for every single stocks.
█ Financial Data Available:
- Revenue & PAT (Profit after Tax)
- Net Profit Margin (%)
- Gross Profit Margin (%)
- Earnings Per Share (EPS)
- Dividend
█ Features:
- Toggle between Quarter/Annual Financial Data (Notes: For Dividends, it will always be plotted based on Annual data, at Financial Year ending period)
- Options to plot at either at Quarter/Yearly ending period OR Financial Data published date
█ Limitation
- The accuracy of the data subject to Tradingview's source, but from my observation it's accurate 95% of the time
- Recently published data might not be available immediately. e.g. MYX exchange tends to have 1-3 days lag
- More information on Tradingview's financial data can be read here -> www.tradingview.com
█ Disclaimer
Past performance is not an indicator of future results.
My opinions and research are my own and do not constitute financial advice in any way whatsoever.
Nothing published by me constitutes an investment recommendation, nor should any data or Content published by me be relied upon for any investment/trading activities.
I strongly recommends that you perform your own independent research and/or speak with a qualified investment professional before making any financial decisions.
Any ideas to further improve this indicator are welcome :)
FA Valuation DashboardSimple Financial Ratio for investor.
User can insert CAGR value for PEG ratio.
Statistical and Financial MetricsGood morning traders!
This time I want to share with you a little script that, thanks to the use of arrays, allows you to have interesting statistical and financial insights taken from the symbol on chart and compared to those of another symbol you desire (in this case the metrics taken from the perpetual future ETHUSDT are compared to those taken from the perpetual future BTCUSDT, used as a proxy for the direction of cryptocurrency market)
By enabling "prevent repainting", the data retrieved from the compared symbol won't be on real time but they will static since they will belong to the previous closed candle
Here are the metrics you can have by storing data from a variable period of candles (by default 51):
✓ Variance (of the symbol on chart in GREEN; of the compared symbol in WHITE)
✓ Standard Deviation (of the symbol on chart in OLIVE; of the compared symbol in SILVER)
✓ Yelds (of the symbol on chart in LIME; of the compared symbol in GRAY) → yelds are referred to the previous close, so they would be calculated as the the difference between the current close and the previous one all divided by the previous close
✓ Covariance of the two datasets (in BLUE)
✓ Correlation coefficient of the two datasets (in AQUA)
✓ β (in RED) → this insight is calculated in three alternative ways for educational purpose (don't worry, the output would be the same).
WHAT IS BETA (β)?
The BETA of an asset can be interpretated as the representation (in relative terms) of the systematic risk of an asset: in other terms, it allows you to understand how big is the risk (not eliminable with portfolio diversification) of an asset based on the volatilty of its yelds.
We say that this representation is made in relative terms since it is expressed according to the market portfolio: this portfolio is hypothetically the portfolio which maximizes the diversification effects in order to kill all the specific risk of that portfolio; in this way the standard deviation calculated from the yelds of this portfolio will represent just the not-eliminable risk (the systematic risk), without including the eliminable risk (the specific risk).
The BETA of an asset is calculated as the volatilty of this asset around the volatilty of the market portfolio: being more precise, it is the covariance between the yelds of the current asset and those of the market portfolio all divided by the variance of the yelds of market portfolio.
Covariance is calculated as the product between correlation coefficient, standard deviation of the first dataset and standard deviation of the second asset.
So, as the correlation coefficient and the standard deviation of the yelds of our asset increase (it means that the yelds of our asset are very similiar to those of th market portfolio in terms of sign and intensity and that the volatility of these yelds is quite high), the value of BETA increases as well
According to the Capital Asset Pricing Model (CAPM) promoted by William Sharpe (the guy of the "Sharpe Ratio") and Harry Markowitz, in efficient markets the yeld of an asset can be calculated as the sum between the risk-free interest rate and the risk premium. The risk premium of the specific asset would be the risk premium of the market portfolio multiplied with the value of beta. It is simple: if the volatility of the yelds of an asset around the yelds of market protfolio are particularly high, investors would ask for a higher risk premium that would be translated in a higher yeld.
In this way the expected yeld of an asset would be calculated from the linear expression of the "Security Market Line": r_i = r_f + β*(r_m-r_f)
where:
r_i = expected yeld of the asset
r_f = risk free interest rate
β = beta
r_m = yeld of market portfolio
I know that considering Bitcoin as a proxy of the market portfolio involved in the calculation of Beta would be an inaccuracy since it doesn't have the property of maximum diversification (since it is a single asset), but there's no doubt that it's tying the prices of altcoins (upward and downward) thanks to the relevance of its dominance in the capitalization of cryptocurrency market. So, in the lack of a good index of cryptocurrencies (as the FTSE MIB for the italian stock market), and as long the dominance of Bitcoin will persist with this intensity, we can use Bitcoin as a proxy of the market portfolio
EV/Ebitda RealEV/Ebitda ratio updated realtime with true value of market cap .
Market cap = last price * total number of shares
EV = market cap - debts + cash
This indicator, as opposed to the default one, uses last price information to calculate the market cap of the selected company/symbol.
The default TradingView ratio uses the last financial quarter information about market cap, which, tends to be obsolete in the day-by-day analysis.
