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[blackcat] L3 Financial Minesweeper: Altman Z ScoreLevel: 3
Background
The Altman Z-score is the output of a credit-strength test that gauges a publicly traded manufacturing company's likelihood of bankruptcy. The Altman Z-score is a formula for determining whether a company, notably in the manufacturing space, is headed for bankruptcy.
Function
The possibility of financial failure or bankruptcy of the enterprise is analyzed and predicted through the comprehensive score. The lower the Z value, the more likely the enterprise will go bankrupt. By calculating the Z value of an enterprise for several consecutive years, we can find out whether the enterprise has signs of financial crisis. Generally speaking, when the Z value is greater than 2.675, it indicates that the financial situation of the enterprise is good, and the possibility of bankruptcy is small; When the value is less than 1.81, it indicates that the enterprise is in a potential bankruptcy crisis; when the Z value is between 1.81 and 2.675, it is called a "gray area, indicating that the financial situation of the enterprise is extremely unstable.
Remarks
STOCKs ONLY which require financial data.
X1~X5 coefficients can be customized for different stock markets.
Compared to TradingView official Altman Z-Score Indicator.
Feedbacks are appreciated.
Buffett Indicator: Wilshire 5000 to GDP Ratio [WhaleCrew]Our Implementation of the famous Buffett Indicator a long-term valuation indicator for stocks.
Calculation: Wilshire 5000 Index divided by US GDP (Gross Domestic Product)
Interest Rates [WhaleCrew]This indicator allows you to display the interest rates of multiple central banks (US, EU, China, Russia, Japan, UK, ...) at once.
Built-in Interest Rates
US ECONOMICS:USINTR
EU ECONOMICS:EUINTR
China ECONOMICS:CNINTR
Russia ECONOMICS:RUINTR
Japan ECONOMICS:JPINTR
UK ECONOMICS:GBINTR
Custom Symbol (default: ECONOMICS:CHINTR )
Swing Stock designed for Monthly/Yearly Trading This is a strategy tester designed around the most important data from FRED - Federal Reserve Economic Data
As input data, we have:
// Personal Consumption Expenditures
// Real Retail and Food Services Sales
// Leading Index for the United States
// All Employees: Total Nonfarm Payrolls
// Real Gross Domestic Product
// Gross Domestic Product
I adapted the long and short entry based on the GDP data, since they are most accurate in prediction compared to the rest.
However, feel free to test with other as well if you want.
For this test I compared previous GDP values, if they were higher than previous that represent a long signals, if they were smaller that represents a reversal=short signal.
From the tests performed we can see that GDP is highly accurate and overall as long as there is patience, profits are going to be make, sometimes even beat the index itself.
If you have any questions, let me know !
Highlight Trading Window (Simple Hours / Time of Day Filter)As the name says this is a straightforward way to highlight the times of day that you are interested in studying.
Like to trade just a market open, or highlight a full session?
Could also be used negatively to "block out" a window of time each day.
Usage:
Just set your preferred time zone and then your time window (start and end).
Hope you find it useful! 😁
Portfolio SummaryThe stocks in my portfolio has very poor performance since the FED hiked the rate.
since the covid-19, i came to the stock market and buy a stock that i ever heard the name which i don't even know its fundamental.
Some stock, i bought them at the hilltop (and sell at the bottom, hehe).
Everyone is a genius in a bull market ; and now i realized i am gonna loss money.
I have to do something, so i looked for an indicator that allow me to manage my portfolio.
unfortunately, i cannot find one that fit me.
so i make this indicator.
How you can get the benefit from this indicator
This indicator will summarize the gain/loss since you bought the stock.
it also include the dividend.
So that you can see how much you gain and loss, and make a decision as you wish.
How to use it
1. Input some neccessary data like ticker/stock (up to 20 tickers, yeah i know, it is too much), share, average price which you can input manually or depend on your entry date.
2. The indicator will calculate gain/loss, dividend, % of your portfolio.
3. You can select how to display based on "Index" or "Market Value".
4. You can toggle on/off both label and table.
Disclaimer
This indicator may display inaccurate and need a lot of improvement.
pls use carefully.
if you have any suggestion, pls dont hersitate to comment below.
Enjoy.
Morningstar Equity Style Box HeatmapStyle boxes are a classification scheme created by Morningstar. They visually provide a graphical representation of investing categories for equity investments. A style box is a valuable tool for investors to use when determining asset allocation.
There are 9 categories:
Large Value, Large Blend, Large Growth
Medium Value, Medium Blend, Medium Growth
Small Value, Small Blend, Small Growth
The strength of the 9 categories are found by using 9 Vanguard ETF's that follow the respective CRSP index of their category.
OGT Intrinsic Value IndicatorOGT Intrinsic Value Indicator
This indicator will show you visually the intrinsic value of a stock. Intrinsic value aims to measure of what an asset is worth. There are a number of intrinsic valuation models where this TradingView indicator uses an earnings valuation model.
There are 4 inputs to the model:
1) EPS trailing 12 months (ttm) - the first step is to know what the current EPS is for a stock. The indicator calculates this for you
2) Annual EPS Growth Next 5 Years - You need to input what you think the annual growth rate is going to be for the stock. You can use you annual estimates which you can obtain by searching "stock name - eps growth forecast"
3) Earnings Multiple (PE Ratio) - The next step is to input the earnings multiple in year 5. You can get this from analyst estimates or looking at the average PE ratio of the asset over the past 3 / 5 / 10 years.
4) Desired Rate Of Return - The last input is your rate of return. I personally use 12.5% as you can invest in an S&P ETF and get 8-10% return. So I prefer a higher rate of return for the risk I am taking.
You will need to input your low, medium and high assumptions so you can see the different price ranges.
All Central Bank Interest RatesWith another period of mass interest rates manipulation, I created this indicator to show them all. It reveals latest interest ratest (at a time of the last update) and a date when each central bank manipulated the rates.
If you would rather view a single pair data check: and
Trapping CandlesIt shows the candles which have higher sell volume then the previous candles and following can show us how the buyers are trapped in.
USDC&USDT DominanceUSDC and USDT combined Daily dominance, a good indicator for the amount of stablecoin volume ready to buy and support BTC & ETH
Taylor RuleThe Taylor rule is a simple formula that John Taylor devised to guide policymakers. It calculates what the federal funds rate should be, as a function of the output gap and current inflation. Here, we measure the output gap as the difference between potential output and real GDP. Inflation is measured by changes in the CPI, and we use a target inflation rate of 2%. We also assume a steady-state real interest rate of 2%.
Make Your Own Index!Intro
For my first script, I have released Make Your Own Index version 1. It has a long way to go so please stay tuned. Scroll down to read all the updates and notes as they come in.
Why it matters
Making your index is important to quickly see an index of symbols that you want to chart. Having the ability to assign weightings gives you the opportunity to make the index equal weighted or custom weighted. As we all know, indexes like the S&P 500 are NOT equal weighted, but more heavily weighted toward the winners. Now, you can make your own of a basket of symbols and make them custom weighted or equal weighted. Have some fun exploring this.
Features
You select the symbols of your choice and then chart them as one line with a specific weighting. This can be done in the settings menu once the indicator is selected. Use the symbol search field to add a symbol. From what I have tested, it works for any symbol whether it's stocks, crypto, FX and more. The default is set to stocks.
The Weight field in the settings menu is where you can assign a specific weight to the symbol of your choice. This way you can make an equal weighted index or a custom weighted index. By default each symbol is set to 10 or 10%. There are 10 symbols in the menu, so at 10%, they are equally weighted! In the script I have made it so each weighting is in percentage terms. So type in the percentage and you're good to go.
The chart is currently displayed in a separate window and not as an overlay. This may change in the future. The line can also be changed slightly and the color of it. Stay tuned for more on this.
Send in feedback
I am a Pine rookie in all regards and I am surely looking for support, feedback, and/or ideas. I want to add a lot more to this. If you look at the settings you will see have some input fields that are in their first iteration and currently needing to be improved. Rather than waiting to make them perfect, I just want to get this out there and update as I go. Also, as mentioned, I will definitely need a little support at adding more features that I have in mind.
Credit where credit is due
I used a lot of Open Source indicators as inspiration to quickly get going so thank you to the following people and accounts who share open source scripts that you can use to learn, test, and get started instantly:
@TradingView
@LucF
@PineCoders
@KioseffTrading
@norok
@RedKTrader
@NeoButane
And many others. That's the beauty of open source!
Closing note
Publishing it open source so people can fact check my code and thinking. One thing I know for sure is that this can probably be created in a more efficient way. Nonetheless, please a take look and let me know what you think - I am excited to make some updates over the coming weeks.
Thanks for reading!
world stage index ver02This is an indicator that expresses the ratio of "stage1" and "stage4" of world index.
40 symbols are as follows
("TVC:SHCOMP" is revised to "SSE:000001")
(JAPAN, US, EUROPE, and CANADA)
OSE:NK2251!, DJ:DJI , NASDAQ:IXIC, SP:SPX , XETR:DAX, TVC:CAC40 , TVC:UKX, TSX:TSX
(ASIA)
SSE:000001, SZSE:399001, TVC:HSI, TWSE:TAIEX, BSE:SENSEX , OANDA:SG30SGD, INDEX:KSI, SET:SET
(EUROPE)
INDEX:SX5E, INDEX:FTSEMIB, SIX:SMI , BME:IBC, EURONEXT:BEL20, TVC:AEX, OMXCOP:OMXC25, XETR:0Q5X
(Pacific Ocean)
ASX:XJO, TVC:NZ50G, IDX:COMPOSITE, FTSEMYX:FBMKLCI, BMFBOVESPA:IBOV, BMV:ME , BVL:SPBLPGPT, BYMA:IMV
(Eastern Europe & Middle East)
MOEX:IMOEX, GPW:WIG20, OMXHEX:OMXH25, OMXSTO:OMXS30, DFM:DFMGI, TADAWUL:TASI, OSE:GNRI, EGX:EGX30
The criteria are as follows:
EMA5≧EMA20≧EMA40 : Stage1
EMA5≦EMA20≦EMA40 : Stage4
A.The sum of Stage1 was multiplied by 2.5 and drawn on a scale of 0 to 100, with yellow area
B.The Sum of Stage4 was multiplied by 2.5 and drawn on a scale of 0 to 100, with blue area.
C. The ratio of A/B was multiplied by 2.5 and drawn on a scale of 0 to 100, with red lines.
This idea is from Kojirou Kousi.
40 symbols of this script are partially different from Kojiro kousi's idea.
But he said the difference isn't matter.
tradingview社の上海総合指数の銘柄コード変更に合わせて、"TVC:SHCOMP" を "SSE:000001"に改訂しました。
「小次郎講師指数」に着想を得た、世界40カ国の株価指数stage状態です。
参考文献は、小次郎講師著書「世界一わかりやすい投資の勝ち方」です。
小次郎講師とは一部異なるシンボルを採用していますが、
多少の違いは余り大した問題では無いと御本人から教わった事があります。
先進国に関してはおそらくほとんど同じだと思います。
stage1の合計の%を黄色、stage4の合計の%を青色、stage1の合計/stage4の合計の%を赤で表示しています。
雰囲気で分かればいいので、正確な数字までは表示しませんでした。
個人的には現状分析以外にも、プラクティス時に世界情勢を把握するのに重宝しています。
EPS DashboardThis script creates a little table in an indicator below your chart that allows you to view the earnings per share over the last year as well as calculates the year over year earnings per share growth. According to IBD, strong EPS growth is a great indicator of a potential super-performer stock so hopefully this will make it easier to keep an eye on this metric. Note it does not work on things without financial data like crypto, indexes, and ETFs.
US Stock Market Sectors Overview Table [By MUQWISHI]US Market Overview Table will identify the bullish and bearish sectors of a day by tracking the SPDR sectors funds.
It's possible to add a ticker symbol for correlation compared to each sector.
Overview Indicator
MicroStrategy MetricsA script showing all the key MSTR metrics. I will update the script every time degen Saylor sells some more office furniture to buy BTC.
All based around valuing MSTR, aside from its BTC holdings. I.e. the true market cap = enterprise value - BTC holdings. Hence, you're left with the value of the software business + any premium/discount decided by investors.
From this we can derive:
- BTC Holdings % of enterprise value
- Correlation to BTC (in this case we use CME futures...may change this)
- Equivalent Share Price (true market cap divided by shares outstanding)
- P/E Ratio (equivalent share price divided by quarterly EPS estimates x 4)
- Price to FCF Ratio (true market cap divided by FCF (ttm))
- Price to Revenue (^ but with total revenue (ttm))
Discounted Price ProbabilityHere is an attempt to understand the probability of discounted price of a stock by comparing it to historical price and fundamental correlation. Have made use of some of the new features of pine in developing this script (Such as matrix and new features of tables such as cell merge and tooltip).
Script makes use of the library written on matrix matrix
🎲 Process
Probability is measured in two angles
🎯 Absolute : Measure the percentile of price and fundamentals with respect to all time high. The difference between the two is measure of probability of stock being undervalued.
🎯 Drawdown : Measure the percentile of distance from all time high for both price and fundamentals. The difference between the two is used for depicting the probability of stock being undervalued.
🎲 Components
In short, the definitions of stats presented are as below
🎲 Settings
Settings are pretty straightforward
🎲 How to look at these stats
To Start with
Are most of the fundamental values coloured in green? If yes, it means that they are near all time high in terms of percentile.
If drawdowns of fundamental values coloured in green? If yes, it means, the stock has not suffered much drawdowns of fundamentals from its peak.
Are the percentile values of drawdowns in green? If yes, it means, that drop in fundamentals are not high compared to its previous values.
If all the above are greener, then it means, company is in strong growth space.
Example: TSLA
Even though the financial ratios of TSLA are not in par with most of the fundamentally strong stocks, it is indeed growing steadily and at its near all time high.
Lets take another example of NKLA
Here the base columns regarding fundamentals are mostly red. This means, company has suffered setback with respect to their financials and the company is not where it used to be. But, if you see the differential probabilities, it says 92% of being undervalued?
Well, this is due to the fact that NKLA's fundamentals suffered most of the time and they are always below par when compared to price. Hence, such kind of cases may interpret the stocks as undervalued. Hence, even if the probability of being undervalued is more, it does not guarantee the quality of the stock. We need to be mindful overall financials of the company and how they fare with general standards.
Moving forward
To understand value of trending stock, use Absolute Probability (marked with P). Ex. GOOG, MSFT, BRK.B etc.
To understand value of stock which has been recently suffered huge price drop, look at drawdown based probability (marked with D). Ex. BABA, FB, PYPL, SQ, ROKU etc.
Some examples of high flyers:
Some for deep pullbacks:
And the meme stocks:
Key Financials A simple table with up to 9 key financials on your chart.
Simple, easy and configurable.
BTC HASHRATE DROP: OnchainWhy is the drop of hashrate important?
Drop of hashrate usually occurs because some miners in the mining network stop for working. There are several possible reasons for this. Such as new anti-mining regulations in some countries or a sharp drop in the price of bitcoin, which makes mining no longer affordable for some miners. So they turn off their devices
This reduces the supply of bitcoin in the market and according to the law of supply and demand can eventually lead to an increase in the price of bitcoin.
This oscillator is designed to detect hashrate drop. for this, we use the data of glassnode . Maroon color indicates decrease in hashrate and Red color indicates excessive hash rate drop. As can be seen on the chart, usually after this drop, we see an increase in the price of bitcoin
Earnings Price Move Cheat Sheet [KT]Hello!
This script looks to distinguish replicable sequences and correlations between earnings releases and price. The indicator calculates the average 1-session to 20-session performance of an asset prior to an earnings release, and the 1-session to 20-session performance of an asset subsequent an earnings release.
You can select the number of sessions the script calculates for asset performance.
In the image above the script calculates the average 1-session performance following an earnings surprise, earnings miss, and in general. 20 sessions is the maximum value!
Also measured is the average performance of an asset before and after earnings, in addition to the average performance following an earnings surprise "green earnings" and the average performance following an earnings miss "red earnings".
I included VaR and CVaR calculations - using the historical method - in the script. For those of you unfamiliar with the metrics, both look to quantify the risk of financial loss for a portfolio, or even a particular position.
The script also calculates the 1st - 5th percentile for earnings losses. A more comprehensive explanation of the metrics is stored in tooltips in the user input tab.
The script also calculates the highest high and lowest low following an earnings release, up to 20 sessions, and calculates the difference between the two.
Keep in mind that a company might not have a significant number of earnings misses, or may have only traded publicly for a short while. If true, the resulting earnings/price calculations *will* be misleading - there is an insufficient sample size; no correlations are ascertainable.
I will be working on this script more, so let me know if there is anything you would like included!
Valuation TableHey folks, I hope you are all doing well!
This is an indicator that you can use to help you to evaluate companies. There are a few things I added to the valuation table that I personally use and I will explain what they are.
I added Joel Greenblatt's ROC% because it takes Earnings before Interest and Taxes to reflect more closely what the company earns from its operations, while including the cost of depreciation/amortization of assets. A high double digit figure often means that the company has a defensible edge versus its competitors (e.g. a strong brand or a unique product). It's good for relative valuation (comparing two companies in the same industry).
I also added Donald Yacktman's forward rate of return. Yacktman defines forward rate of return as the normalized free cash flow yield plus real growth plus inflation . Unlike the Earnings Yield %, the Forward Rate of Return uses the normalized Free Cash Flow of the past seven years, and considers growth. The forward rate of return can be thought of as the return that investors buying the stock today can expect from it in the future. Yacktman’s Forward Rate of Return may or may not be a useful metric. However, it does present new ways to see and think about stocks we may want to buy.
I added a box called "real price" and that is from Peter Lynch's book, "One Up on Wall Street," where he talked about how the real price of the stock is really the current price - Net Cash Per Share.
I would also personally pair this script with TradingView's built in financial indicators that shows the revenue growth, net income, etc.
Note: the script only works on the weekly timeframe and it will take some time to load because it has a lot of data.