Rule of 40The rule of 40 is a popular metric for measuring the quality of SaaS companies. It measures growth and profitability. Companies are considered good if this sum is above 40.
It is the sum of the year over year sales growth and profit margin.
Rule of 40 = YoY sales growth + profit margin
Fundamental Analysis
Cobra's CryptoMarket VisualizerCobra's Crypto Market Screener is designed to provide a comprehensive overview of the top 40 marketcap cryptocurrencies in a table\heatmap format. This indicator incorporates essential metrics such as Beta, Alpha, Sharpe Ratio, Sortino Ratio, Omega Ratio, Z-Score, and Average Daily Range (ADR). The table utilizes cell coloring resembling a heatmap, allowing for quick visual analysis and comparison of multiple cryptocurrencies.
The indicator also includes a shortened explanation tooltip of each metric when hovering over it's respected cell. I shall elaborate on each here for anyone interested.
Metric Descriptions:
1. Beta: measures the sensitivity of an asset's returns to the overall market returns. It indicates how much the asset's price is likely to move in relation to a benchmark index. A beta of 1 suggests the asset moves in line with the market, while a beta greater than 1 implies the asset is more volatile, and a beta less than 1 suggests lower volatility.
2. Alpha: is a measure of the excess return generated by an investment compared to its expected return, given its risk (as indicated by its beta). It assesses the performance of an investment after adjusting for market risk. Positive alpha indicates outperformance, while negative alpha suggests underperformance.
3. Sharpe Ratio: measures the risk-adjusted return of an investment or portfolio. It evaluates the excess return earned per unit of risk taken. A higher Sharpe ratio indicates better risk-adjusted performance, as it reflects a higher return for each unit of volatility or risk.
4. Sortino Ratio: is a risk-adjusted measure similar to the Sharpe ratio but focuses only on downside risk. It considers the excess return per unit of downside volatility. The Sortino ratio emphasizes the risk associated with below-target returns and is particularly useful for assessing investments with asymmetric risk profiles.
5. Omega Ratio: measures the ratio of the cumulative average positive returns to the cumulative average negative returns. It assesses the reward-to-risk ratio by considering both upside and downside performance. A higher Omega ratio indicates a higher reward relative to the risk taken.
6. Z-Score: is a statistical measure that represents the number of standard deviations a data point is from the mean of a dataset. In finance, the Z-score is commonly used to assess the financial health or risk of a company. It quantifies the distance of a company's financial ratios from the average and provides insight into its relative position.
7. Average Daily Range: ADR represents the average range of price movement of an asset during a trading day. It measures the average difference between the high and low prices over a specific period. Traders use ADR to gauge the potential price range within which an asset might fluctuate during a typical trading session.
Utility:
Comprehensive Overview: The indicator allows for monitoring up to 40 cryptocurrencies simultaneously, providing a consolidated view of essential metrics in a single table.
Efficient Comparison: The heatmap-like coloring of the cells enables easy visual comparison of different cryptocurrencies, helping identify relative strengths and weaknesses.
Risk Assessment: Metrics such as Beta, Alpha, Sharpe Ratio, Sortino Ratio, and Omega Ratio offer insights into the risk associated with each cryptocurrency, aiding risk assessment and portfolio management decisions.
Performance Evaluation: The Alpha, Sharpe Ratio, and Sortino Ratio provide measures of a cryptocurrency's performance adjusted for risk. This helps assess investment performance over time and across different assets.
Market Analysis: By considering the Z-Score and Average Daily Range (ADR), traders can evaluate the financial health and potential price volatility of cryptocurrencies, aiding in trade selection and risk management.
Features:
Reference period optimization, alpha and ADR in particular
Source calculation
Table sizing and positioning options to fit the user's screen size.
Tooltips
Important Notes -
1. The Sharpe, Sortino and Omega ratios cell coloring threshold might be subjective, I did the best I can to gauge the median value of each to provide more accurate coloring sentiment, it may change in the future.
The median values are : Sharpe -1, Sortino - 1.5, Omega - 20.
2. Limitations - Some cryptos have a Z-Score value of NaN due to their short lifetime, I tried to overcome this issue as with the rest of the metrics as best I can. Moreover, it limits the time horizon for replay mode to somewhere around Q3 of 2021 and that's with using the split option of the top half, to remain with the older cryptos.
3. For the beginner Pine enthusiasts, I recommend scimming through the script as it serves as a prime example of using key features, to name a few : Arrays, User Defined Functions, User Defined Types, For loops, Switches and Tables.
4. Beta and Alpha's benchmark instrument is BTC, due to cryptos volatility I saw no reason to use SPY or any other asset for that matter.
Financial Radar Chart by zdmreRadar chart is often used when you want to display data across several unique dimensions. Although there are exceptions, these dimensions are usually quantitative, and typically range from zero to a maximum value. Each dimension’s range is normalized to one another, so that when we draw our spider chart, the length of a line from zero to a dimension’s maximum value will be the similar for every dimension.
This Charts are useful for seeing which variables are scoring high or low within a dataset, making them ideal for displaying performance.
How is the score formed?
Debt Paying Ability
if Debt_to_Equity < %10 : 100
elif < 20% : 90
elif < 30% : 80
elif < 40% : 70
elif < 50% : 60
elif < 60% : 50
elif < 70% : 40
elif < 80% : 30
elif < 90% : 20
elif < 100% : 10
else: 0
ROIC
if Return_on_Invested_Capital > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
ROE
if Return_on_Equity > %50 : 100
elif > 40% : 90
elif > 30% : 80
elif > 20% : 70
elif > 10% : 50
elif > 5% : 20
else: 0
Operating Ability
if Operating_Margin > %50 : 100
elif > 30% : 90
elif > 20% : 80
elif > 15% : 60
elif > 10% : 40
elif > 0 : 20
else: 0
EV/EBITDA
if Enterprise_Value_to_EBITDA < 3 : 100
elif < 5 : 80
elif < 7 : 70
elif < 8 : 60
elif < 10 : 40
elif < 12 : 20
else: 0
FREE CASH Ability
if Price_to_Free_Cash_Flow < 5 : 100
elif < 7 : 90
elif < 10 : 80
elif < 16 : 60
elif < 18 : 50
elif < 20 : 40
elif < 22 : 30
elif < 30 : 20
elif < 40 : 15
elif < 50 : 10
elif < 60 : 5
else: 0
GROWTH Ability
if Revenue_One_Year_Growth > %20 : 100
elif > 16% : 90
elif > 14% : 80
elif > 12% : 70
elif > 10% : 50
elif > 7% : 40
elif > 4% : 30
elif > 2% : 20
elif > 0 : 10
else: 0
Top12/Bottom88 Weighted Ratio I multiplied the price of each of the top QQQ holdings by their percentage weight, and the bottom 88 holdings for a total of 100. I divide the top 12 weighted price by the bottom 88 weighted price. So I can see when money is flowing in and out of the megacaps. It needs to be updated every quarter, which I may need to do now....
Custom Group Financials [Technimentals]This script allows the user to build custom groups and combine the same financial data from 40 different symbols simultaneously and plot it data as a total or as an average.
By default, the top 40 symbols in the QQQ are used. Between them they account for the majority of the index. This is a good workaround for the lack of ETF financial data in TradingView.
This functions much like any other financial indicator. You choose the financial data and period:
FY = Financial Year
FQ = Financial Quarter
TTM = Trailing Twelve Months
Bare in mind that some data only exists in FY data.
Thanks to @LucF for writing most of this code!
Enjoy!
Joel Greenblatt Magic FormulaJoel Greenblatt Magic Formula. I always wanted to make this.
The Indicator shows 3 values.
ROC,EY,SUM.
ROC= Return On Capital.
EY=Earnings Yield
SUM= Addition of Two.
Formula:
ROC=EBIT / (Net Working Capital + Net Fixed Assets).
EY = EBIT / Enterprise value
Enterprise Value=(Market value of equity + Net Interest-bearing debt)
To implement the strategy, investors start by identifying a universe of stocks, typically large-cap or mid-cap companies that trade on a major stock exchange. Next, they rank the stocks based on their ROC and EY. The companies with the best combination of these two metrics are considered the best investments (based on this ranking).
For example, a stock that ranks 10th on EY and 99th on ROIC gets a value of 109. The two ranks are simply added together and all stocks are ranked on the sum of the two ranks. The stocks with the lowest values are best.
All credits to "The Little Book That Beats The Market" by Joel Greenblatt
The Magic Formula strategy is a stock selection method popularized by Joel Greenblatt’s book The Little Book That Beats the Market.
It involves ranking companies based on Two factors:
A high return on capital and A high Earnings Yield.
The companies with the best combination of these two metrics are considered the best investments. The strategy aims to find undervalued companies with strong financials that have the potential for high returns over the long term.
DOTS [CHE]This indicator is a must-have for every trader as it provides a practical tool to quickly evaluate the current price of a security. Designed specifically for manual trading, this indicator is based on "The Forbidden RSI " indicator and provides an easy way to identify overbought and oversold conditions in the market. By using this indicator, traders can make informed decisions about when to enter or exit a trade, maximizing their potential profits and minimizing their risks. Its simple yet effective design makes it an ideal choice for traders of all experience levels. Whether you are a seasoned professional or just starting out, this indicator can help you take your trading to the next level.
Description:
This is a Pine Script code designed to create an indicator that identifies overbought and oversold conditions in a security. The code first defines a function named "func" that takes three arguments - "close", "length", and "tr". It then calculates a value "k" based on the "close" and "length" arguments using this function.
The code then checks if "k" is greater than a variable named "OverBought" and assigns the resulting Boolean value to "OverboughtCond". It also checks if "k" is less than a variable named "OverSold" and assigns the resulting Boolean value to "OversoldCond".
The code then plots a small circle above the bar if "OverboughtCond" is true and below the bar if "OversoldCond" is true. The circles are colored green for "Overbought" and red for "Oversold". The code also creates a label with the name "Overbought" above the bar and a label with the name "Oversold" below the bar if the respective conditions are met.
Finally, the code sets up alert conditions for both the "Overbought" and "Oversold" cases, with a custom message that includes the name of the security, the current price, and the indicator's name.
I've tested the script for weeks and I hope it brings you as much success as it did me
best regards
Chervolino
Reversal Points [CC]This original script was created based on a suggestion from @kerpiciwuasile. My original Reversal Points script was removed because I modeled it after an indicator by Demark, but this script will have no such issues. Reversal points are an exciting concept for me because it is such a useful tool when placing trades. This is my first attempt at a new overall layout for my script and I included a bunch of customization so let me know what you think.
My script works by finding lows that are surrounded by bars that have higher lows and highs that are surrounded by lower highs. I use this logic to find short term lows or highs and I use the same concept to find mid-term lows or highs but a mid-term high is a short term high surrounded by lower short term highs and a mid-term low is a short term low surrounded by higher short term lows. And of course this means that long term highs or lows use the same logic to find highs or lows that are surrounded by mid-term highs or lows. I would recommend to buy at the long term low points or sell at the long term high points.
Keep in mind of course that short term highs and lows are very common and reversal points will get rarer as you look for longer term reversal points. I would recommend to experiment and see which reversal points work best for you and of course, know that there is no magical formula to use for all stocks.
Also there are a few scenarios where you want to enable or disable the inside bar setting. You would want to ignore inside bars if the market is currently very volatile or if you are using this indicator on a crypto chart. This is not an exact science but more of a recommendation, so feel free to experiment with it.
Reversal points are crucial for traders as they signal a potential change in the market trend, providing opportunities for entry or exit.
In summary, this code snippet is a powerful tool for traders to detect and visualize reversal points on a trading chart, providing valuable insights into potential trend changes and facilitating more informed trading decisions.
Let me know if you would like me to publish other scripts or if you want me to do something custom for you!
Stock Comparison to S&P 500This indicator, "Stock Comparison to S&P 500," is designed to help traders compare the financial health and valuation of a chosen stock to the S&P 500 index. It compares several key financial metrics of the stock to the corresponding metrics of the S&P 500, including earnings growth, price-to-earnings ratio, price-to-book ratio, and price-to-sales ratio.
The indicator calculates the differences between each metric of the selected stock and the S&P 500, and then weights them using a formula that takes into account the importance of each metric. The resulting value represents the overall comparison between the stock and the S&P 500.
The indicator also displays the differences between the individual metrics in separate plots, allowing traders to see how each metric contributes to the overall comparison. Additionally, it colors the plots green if the selected stock is performing better than the S&P 500 in a particular metric and red if it's performing worse.
Traders can use this indicator to gain insight into the relative financial health and valuation of a selected stock compared to the S&P 500 index, which can help inform their trading decisions.
BTCUSD Price prediction based on central bank liquidityIn recent months the idea that Bitcoin prices are increasingly linked to liquidity provided by central banks has gained strength. Multiple opinion leaders in the bitcoin space have shared their thoughts to explain why this is happening and why it makes sense. Some of these people I'm talking about are Preston Pysh, Dr. Jeff Ross, Steven McClurg, Lynn Alden among others.
The reality is that the correlation between market liquidity, measured as Assets held by the Federal Reserve, Bank of Japan and European Central bank, and Bitcoin prices is high. This made me wonder whether a regression between "market liquidity" and BTCUSD prices made sense in order to understand where Bitcoin prices are in relation to the liquidity in the market. After several trials I ended up fitting a polynomial regression of degree 5 between Market Liquidity and BTCUSD prices since 2013. This regression resulted in r-squared value of 90.93%. I initially visualized the results in python notebooks but then I thought it would be cool to be able to see them in real-time in tradingview.
That's where this script comes handy...
This script takes the coefficients and intercept from the polynomial regression I built and applies them to the "market_liquidity" index. In addition, it adds upper and lower bound lines to the prediction based on a 95% confidence interval. As you will see, particularly since 2020, the price of bitcoin has rarely been above or below the lines representing the 95% confidence interval. When price has actually crossed these lines it's been in moments where Bitcoin was highly overbought or oversold. Therefore this indicator could be used to understand when it's a good moment to enter or exit the market based on central bank fundamentals.
Here's the detailed step-by-step description of what the script does
1) It defines the coefficients obtained from running the regression betweeen "market liquidity" and BTCUSD. Market liquidity is defined as:
Market liquidity = FRED:WALCL + FX_IDX:JPYUSD*FRED:JPNASSETS + FX:EURUSD*FRED:ECBASSETSW - FRED:RRPONTSYD - FRED:WTREGEN
2) It defines a scale factor. The reason for this is that coefficients from the regression are very small numbers, given the huge numbers of the value of assets held by central banks. Pinescript doesn't support numbers with many decimals and rounds them to 0, so the coefficients had to be scaled up in order to be able to calculate the regression results.
3) It calculates market liquity with the formula defined above. Market liquidity is calculated in US Dollars.
4) It calculates the predicted BTCUSD price based on the coefficients and the market liquidity values.
5) It scales down the values by the same factor used to scale the coefficients up
6) It defines the standard deviation of the "potential_btcusd_price_scaled" and the actual BTCUSD prices.
7) It defines upper and lower bounds to the BTCUSD price prediction using a z-score of 1.96, which is equivalent to 95% confidence interval.
8) Lastly it plots the BTCUSD price prediction (orange) and the upper (red) and lower(green) confidence intervals.
The script can be updated as the correlation of BTCUSD to central bank assets changes (the slope values can be updated).
How to use it:
When actual BTCUSD price (blue line in the chart) crosses over the red line (upper bound) or crosses under the green line (lower bound) it should be taken as a sign that the price of BTCUSD may be overvalued or undervalued based on the value of assets held by major central banks.
Global LiquidityThe "Global Liquidity" script is an indicator that calculates and displays the global liquidity value using a formula that takes into account the money supply of several major economies. The script utilizes data from various sources, such as the Federal Reserve Economic Data (FRED), Economics, and FX_IDC.
The indicator plots the global liquidity value as a candlestick chart and breaks it down into two categories: the Euro-Atlantic region (West) and the rest of the world (East). The values are denominated both in inflation-adjusted dollars and in trillions of dollars. The script also calculates the spread between the Euro-Atlantic region and the rest of the world.
Traders and investors can use this indicator to gauge the overall liquidity of the global economy and to identify potential investment opportunities or risks. By breaking down the liquidity value into different regions, traders can also gain insights into regional economic trends and dynamics.
Note that this script is subject to the terms of the Mozilla Public License 2.0 and was created by rodopacapital.
Ema Short Long Indicator[CHE]█ CONCEPTS
This Pine Script is an EMA Short Long indicator that displays the crossing EMA lines on the chart. The indicator uses three exponential moving averages (EMAs) to generate the buy and sell signals. The EMA lines are plotted as green (uptrend) and red (downtrend) lines. When the green line is above the white signal line, the indicator generates a buy signal, when the green line is below the white signal line, the indicator generates a sell signal. Arrows are also displayed marking the buy and sell signals. There is also an option to allow indicator repainting or not. Finally, users can also set alerts to be alerted to potential trading opportunities.
Note: please do not disable "time frame gaps". Allows to calculate the indicator on a Timeframe (TF) different from that of the chart Time window. The TF should ideally be higher than the charts to provide a broader perspective than
the TF of the chart. Using TFs lower than the chart's will deliver fragmentary results, since only the last value of intrabar is displayed (multiple values cannot be displayed for a single chart bar). The Gaps setting determines the behavior when the TF is higher than the TF of the chart. If 'gaps' is checked, higher TF values only come in and are interconnected on the diagram when the higher TF completed. This has the advantage of avoidance Real-time epainting. If Gaps is not enabled, Gaps are filled with the last higher TF value calculated, which will not produce a repaint Values on historical bars but repaint values realtime.
█ HOW TO USE IT
Load the indicator on an active chart (see the Help Center if you don't know how).
Time period
By default, the script uses an auto-stepping mechanism to adjust the time period of its moving window to the chart's timeframe. The following table shows chart timeframes and the corresponding time period used by the script. When the chart's timeframe is less than or equal to the timeframe in the first column, the second column's time period is used to calculate the Ema Short Long Indicator :
Chart Time
timeframe period
1min 🠆 1H
5min 🠆 4H
1H 🠆 1D
4H 🠆 3D
12H 🠆 1W
1D 🠆 1M
1W 🠆 3M
█ DESCRIPTION
The script begins by setting up the chart indicator with a short title, "ESLI", and enabling it as an overlay. It then initializes several variables for time conversions, to be used later in the script.
The timeStep_translate() function converts the timeframe of the chart into a string representing a larger time interval, based on the number of seconds in the timeframe. The resulting string is used to label the horizontal axis of the chart.
Next, the script defines several input variables that can be modified by the user. These include the colors of the EMA lines and the signals, whether or not the indicator is allowed to repaint (i.e. update past values based on future data), and the number of periods used to calculate the EMA and signal lines.
The f_security() function calls the request.security() function to fetch data from the specified security and timeframe, and is used to calculate the EMA and signal lines using the ta.ema() function. The clo variable is assigned the closing price data, adjusted for repainting and timeframe.
The EMA line is calculated using a weighted average of the EMA over the specified period and two times that period, as well as three times that period, divided by six. The signal line is calculated as the EMA of the EMA line over the specified period.
The col_css variable sets the color of the EMA line based on whether it is currently above or below the signal line. The script then plots the EMA and signal lines, and uses the plotshape() function to indicate long and short signals based on the crossovers and crossunders of the EMA and signal lines.
Finally, the script sets up alert conditions using the alertcondition() function to notify the user when a long or short signal is generated, including information about the symbol and closing price.
█ SPECIAL THANKS
Special thanks to LOXX, I wanted to take a moment to express my gratitude for his valuable input in the EMA calculation. His insights and expertise have greatly helped me in improving my Pine Script coding skills. Thanks to his suggestion, I was able to better understand the EMA formula and implement it effectively in my script.
Your generosity in sharing your knowledge and experience is truly appreciated. It is through collaboration and exchanging ideas that we can all grow and become better in our craft.
This script provides exact signals that, with suitable additional indicators, provide very good results.
Best regards
Chervolino
Fundamental Value and Dividend Growth InvestingThis script is an original implementation of a Fundamental Value and Dividend Growth Investing Strategy for traders who want to incorporate these concepts in their trading decisions. The script uses technical indicators to determine buy and sell signals based on a set of criteria.
To use the script, traders can input various parameters, such as the length of the simple moving averages (SMA), the rate of change (ROC) length, and the dividend yield. The script calculates the SMA for the long and short periods, the ROC, and the dividend.
The buy signal is triggered when the current closing price is greater than the short-term SMA, the short-term SMA crosses above the long-term SMA, the ROC is positive, and the closing price is greater than the dividend. The sell signal is triggered when the current closing price is less than the long-term SMA, the long-term SMA crosses above the short-term SMA, and the ROC is negative.
The script plots the signals and the indicators, such as the SMA200, the SMS50, the dividend, and the ROC. The script also includes alert conditions for the buy and sell signals.
The concept underlying the calculations of this script is the Fundamental Value and Dividend Growth Investing Strategy. This strategy aims to identify stocks that are trading below their intrinsic value and have a history of increasing dividends. The SMA and ROC indicators help identify the trends in the stock price, while the dividend yield helps identify stocks with a history of dividend growth.
Overall, this script offers traders an original and useful tool for incorporating Fundamental Value and Dividend Growth Investing Strategy into their trading decisions.
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
RS RatingHello everyone.
The RS Rating (or Relative Strenght Rating) is a metric that tracks a stock's price performance relative to the rest of the market. Specifically, it looks at a stock's relative strength over the last 52 weeks.
It allows you to identify at a glance stocks that are outperforming the market and may be poised for further gains.
Designed for break-out traders, trend follower, value investors, the RS Rating can help you identify promising opportunities and make informed investment decisions.
The Rating stands as follow:
- From 1 (worst) to 99 (best)
- 99 rating means the stock is outperforming 99% of all stocks in terms of relative share price performance over the last 52 weeks.
The RS Rating is accompanied by the RS line which is a representation of the progress of the asset against the comparative symbol. (Here SP500)
Of course this script is inspired by the IBD rating system.
The results may be equivalent but it is not guaranteed.
This indicator proposes a scoring system in the style of the one proposed by IBD.
Indeed for an optimal result, it would be necessary to compare the relative performance of all actions, which is not yet possible on PineScript.
Here is the formula for calculating the score:
RS Score = 40% * P3 + 20% * P6 + 20% * P9 + 20% * P12
With
P3 = Performance over the last 3 months
P6 = Performance over the last 6 months
P9 = Performance over the last 9 months
P12 = Performance over the last 12 months
There is no equivalent solution for the moment on TradingView.
The rating score will only appear on the daily timeframe.
For now it's my pleasure to share!
Correlation Crypto MatrixReturns a (top 10 by default) coins matrix correlation between various user-selected symbols
Correlation matrices can be useful to see the linear relationship between various symbols, this is an important tool for analyze market.
Alert with matrix. You can send it to the sheets
Shiller PE Ratio (CAPE Ratio) [WhaleCrew]Our Implementation of the famous Shiller PE Ratio (aka C yclically A djusted P rice-to- E arnings Ratio) a long-term valuation indicator for the S&P 500.
Calculation: Share price divided by 10 - year average, inflation - adjusted earnings
The indicator works on the M and 12M timeframe and has a built-in moving average that supports an upper and lower bollinger band.
IOFin F-Score by zdmre🗣The IOFin F-Score is a discrete score between zero and ten that reflects ten criteria used to determine the strength of a firm's financial position.
🗣It is used to determine the best value stocks, with ten being the best and zero being the worst.
The IOFin F-Score broken down into the following categories:
Profitability
Equity, cash flow, liquidity, and source of funds
Operating efficiency
Criteria Include:
Price to book (P/B) lower than 3 (1 point)
Debt to Equity (D/E) lower than 0.5 (1 point)
Price to FreeCashFlow (P/FCF) equal to or lower than 20 (1 point)
Peg Ratio lower than 1 (1 point)
Sustainable Growth Rate higher than 0.3 (1 point)
Return on Assets (ROIC) higher than 0.07 (1 point)
Return on Equity (ROE) higher than 0.3 (1 point)
EnterpriseValue/Ebitda lower than 10 (1 point)
Quick Ratio equal to or higher than 1 (1 point)
Operating Margin higher than 0.15 (1 point)
RS - Relative Strength ScoreRelative strength (RS) is a measure of a stock's price performance relative to the overall market. It is calculated by dividing the stock's price change over a specified period by the market's price change over the same period. A stock with a high RS has outperformed the market, while a stock with a low RS has underperformed. (Stock can any asset that can be compared to a reference index like as Bitcoin, Altcoins etc ...)
Here are some advantages:
- Provides a measure of a stock's performance relative to a benchmark index or sector, allowing for a more accurate comparison of performance.
- Helps identify stocks with strong price momentum that are likely to continue outperforming the market in the short to medium term.
- Allows investors to identify the strongest performers within a particular sector or industry.
- Provides a quantitative and objective measure of a stock's performance, which can help reduce bias in investment decisions.
- Can be used in conjunction with other technical indicators and chart analysis to identify potentially profitable trades.
- Helps investors make more informed decisions by providing a more comprehensive picture of a stock's performance.
How to use it:
- The indicator can be used in daily and weekly timeframes.
- Check, if the default reference index is suited for your asset (Settings) The default is the combination of S&P500+Nasdaq+Dow Jones. For Crypto, it could be TOTAL (ticker for total stock market), for German stocks it could be DAX.
- Decide (settings), if you want to see the RS based on annual calculation (IBD style) or based only for the last quarter
Color coding:
- Red: Stock is performing worse than index (RS < 0)
- Yellow: Stock get momentum, starting to perform better than index (RS > 0)
- Green: Stock is outperforming the index
- Blue: Stock is a shooting star compared to index
- When RS turns positive and stays there, it could be an indication for an outbreak (maybe into a stage 2)
No financial advise. For education purposes only.
Ehlers Undersampled Double Moving Average Indicator [CC]The Undersampled Double Moving Average was created by John Ehlers (Stocks and Commodities April 2023), and this is a double moving average system which is pretty rare for John Ehlers. For those of you who would like my other take on an Ehlers double moving average, be sure to check out my previous Ehlers double moving average script . He came up with a unique idea for this indicator to create a moving average using a sample of the price data. For example, we use his suggested length of 5 only to use the price data every 5 bars. Feel free to change this, and please let me know if you find a length that works better. He then smooths the indicator using the Hann Windowed Moving Average . I color-coded the lines to show stronger signals in darker colors or standard signals in lighter colors. Buy when the line turns green and sell when it turns red.
Let me know if there is an indicator or script you would like to see me publish!
Stock Intrinsic Value & MOS IndicatorStock Intrinsic Value and MOS Indicator is a powerful tool that can help investors to evaluate the potential value of a particular stock. By taking into account key financial metrics such as earnings per share, price-to-earnings ratio, and dividend yield, this indicator provides a comprehensive analysis of a company's fundamentals, and can be used to estimate its intrinsic value.
To use this indicator, simply input the relevant financial metrics for the stock you're interested in from Yahoo finance, including the P/E ratio, earnings per share, and dividend yield. The indicator will then calculate the stock's intrinsic value based on these inputs, taking into account the company's earnings potential and dividend payments.
In addition to calculating the intrinsic value, the Stock Intrinsic Value and MOS Indicator also allows investors to add a margin of safety to their analysis, which can help to account for unexpected market events or uncertainties. By adding a margin of safety of 20% - 30%, for example, investors can ensure that they are buying the stock at a significant discount to its intrinsic value, providing a cushion against potential losses.
Using the Stock Intrinsic Value and MOS Indicator can be a valuable tool for investors looking to make informed decisions about their investments. By taking into account key financial metrics and adding a margin of safety, investors can be more confident in their investment decisions, and can potentially maximize their returns over the long-term.
However, it's important to remember that the Stock Intrinsic Value and MOS Indicator is just one tool among many that investors can use to evaluate potential investments. As with any investment strategy, it's important to conduct thorough research and analysis before making any investment decisions. Additionally, it's important to keep in mind that no investment strategy is foolproof, and that even the most well-informed investment decisions can still result in losses.
Overall, the Stock Intrinsic Value and MOS Indicator can be a valuable tool for investors looking to evaluate potential investments and make informed decisions about their portfolio. By using this indicator in combination with other tools and strategies, investors can potentially maximize their returns and achieve their long-term investment goals.
ValueViewTitle: ValueView
Description:
ValueView is a script designed to cater to the needs of value investors. Its primary purpose is to provide a comprehensive overview of the financial performance of a stock, making it easier for investors to assess the intrinsic value and potential investment opportunities.
The script displays a concise summary of essential fundamental values and metrics in the form of a customizable table, directly integrated into the chart. This allows investors to evaluate the stock's performance for a variable number of fiscal years, as defined by the user. The input flexibility enables users to focus on the timeframes that are most relevant to their analysis.
ValueView works on timeframes greater than or equal to "DAY", ensuring that the data presented is reliable and relevant for long-term value investing strategies. With this feature, investors can focus on the bigger picture and avoid getting distracted by short-term fluctuations.
With ValueView, investors can choose to select or deselect specific metrics according to their investment strategy and preferences. This feature ensures that users are presented with the information they find most valuable, allowing them to make more informed decisions based on their unique perspective.
Key Features:
Quick overview of the financial performance of a stock for value investors
Customizable table displaying essential fundamental values and metrics
User-defined number of fiscal years for analysis
Select and deselect metrics to tailor the output to individual preferences
ValueView offers a convenient, time-saving solution for value investors looking to gain a deep understanding of a stock's financial performance. With its customizable features and easy-to-use interface, this script simplifies the process of identifying promising investments and making informed decisions.
