PE ValuationAn indicator that can be used to study PE Valuation for stocks.
When the reported EPS for a company is non-positive the line turns gray. Red color means the market price is higher than the valuation whereas green color means the market price is below the valuation and it might be a good opportunity for value traders.
Analysis
DCF ValuationAn indicator that can be used to study Discounted Cash Flow Valuation for stocks.
When the reported Free Cash Flow for a company is non-positive the line turns gray. Red color means the market price is higher than the valuation whereas green color means the market price is below the valuation and it might be a good opportunity for value traders.
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 :)
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
The WWG Plan Indicator V2█ OVERALL
This indicator was specifically created for the Walsh Wealth Group.
In short it is a fusion of some of the most basic and widely used indicators to show overbought patterns and trend reversals.
Its best usage is with LTF scalping and agressive profit taking but can also be used to find HTF dips and buy-zones.
█ FEATURES
Buy Signal (Buy):
Printed only with all confirmations triggered
Small Buy Signal (B1 & B2)
Printed if some of the confirmations are triggered and can be treated as DCA entries or for further
confirmation with other indicators and basic TA.
Crayons (Color Bars):
Blue: RSI is oversold
Olive: RSI and Stoch RSI are oversold
Yellow: RSI, Stoch RSI are oversold and lower Bollinger Bands are crossed by Low
Orange: RSI, Stoch RSI and CCI are oversold
Trailing SL:
If activated in the config, a trailing SL can be displayed on the chart based on ATR.
█ SETTINGS
The underlying indicators used are RSI, Stoch RSI, Bollinger Bands, MACD and CCI.
All possible configs can be changed in the config settings.
█ GENERAL INFORMATION
Depending on the settings, the indicator performance will be highly affected.
This indicator is only displaying highly oversold areas and events of trend reversal it is not a *God*-Signal and will print false positives.
█ ALERTS
An alert for the main buy-signal is implemented and can be used via the TV alert functionality.
Previous Close To Current High Percentage Per CandleGet the percentage of previous candle price to current high candle price.
This script will make your life easier to get percentage without you calculating it.
Hope you enjoy the tool and let me know if there is any feedback or improvement request.
Thank you very much. :D
--------------------------------
Formula:
Previous To High Percentage Per Candle = (high - previous / previous) * 100%
--------------------------------
P1 FundamentalsP1 is because to me, this is a priority 1 indicator, so I have P1 and P2 indicators ordered on the favorite list.
What can you check on the selection pane?
On “period”, you can show the data related to:
the fiscal quarters
or the fiscal years.
You can select a pack of financial data that I have organized in sections:
Revenue & earnings
EPS & DPS (EPS, EPS estimate, DPS and dividend payout ratio )
Debt (total debt, total equity and cash & equivalents)
Returns (ROE, ROIC, ROA and R&D revenue to ratio)
I recommend to just select one of them, in other case the chart is a mess.
Any feedback on the code is welcome!!
Spitznagel Faustmann RatioThis is a rough version of the Faustmann Ratio metric that Mark Spitznagel presents in The Dao of Capital. The purpose is to conservatively calculate the price of the company (market cap) relative to net worth. Over a medium term horizon, the theory is that companies which have a high ROIC (see my other script) combined with a low Faustmann Ratio (color coded to give you a rough idea) should generally outperform. Please don't take this short summary as an excuse to not read the full book. It's well worth your time. (I am not affiliated with the author in any way.)
Spitznagel ROICThis is a rough version of the Return on Invested Capital metric that Mark Spitznagel presents in The Dao of Capital. The purpose is to calculate the return on real invested capital, conservatively calculated. Over a medium term horizon, the theory is that companies which have a high ROIC (presented here as a decimal value where 0.5 = 50%, 1 = 100%, etc., and color coded as a general guide) combined with a low Faustmann Ratio (see my other script) should generally outperform. Please don't take this short summary as an excuse to not read the full book. It's well worth your time. (I am not affiliated with the author in any way.)
Consolidation Ranges [kingthies] Consolidation Range Analysis
Published by Eric Thies, January 2021
█ Indicator Summary
This tool calculates, analyzes and plots the visualization of a relative range over a given period of time
By adding to charts, users are enabled to see the impulsive nature of market cycles, along with their efforts to consolidate thereafter
The default period is 30, and should be adjusted to users preference
The default input is the current close price, on the chosen timeframe of the chart
█ Script Source
//
//@version=4
//© kingthies || This source code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
study("Consolidation Ranges ", shorttitle="CR ", overlay=true)
// !<------ User Inputs ----->
src = input(close, title='Range Input (Default set to Close'), lengthEMA=input(30,title='Length'),zoneToggle = input(true, title="Toggle Zone Highlights"), iCol = color.new(#FFFFFF, 100),
// !<---- Declarations & Calculations ---- >
trndUp = float(na),trndDwn = float(na), mid = float(na), e = ema(src, lengthEMA)
trndUp := src < nz(trndUp ) and src > trndDwn ? nz(trndUp ) : high, trndDwn := src < nz(trndUp ) and src > trndDwn ? nz(trndDwn ) : low, mid := avg(trndUp, trndDwn)
// !< ---- Plotting ----->
highRange = plot(trndUp == nz(trndUp ) ? trndUp : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Top of Period Range")
lowRange = plot(trndDwn == nz(trndDwn ) ? trndDwn : na, color=color.white, linewidth=2, style=plot.style_linebr, title="Bottom of Period Range")
xzone = plot(zoneToggle ? src > e ? trndDwn : trndUp : na, color=iCol, style=plot.style_circles, linewidth=0, editable=false)
fill(highRange, xzone, color=color.lime,transp=70), fill(xzone, lowRange, color=color.red,transp=70)
//
MrBS:EMA/SMA/HMA (Heikin Ashi Calc)This indicator allows you to base the MA calculation from Heikin Ashi values on normal charts and/or the real OHLC values while looking at Heikin Ashi.
There are 3 MA types you can select - EMA / SMA / HMA
The colour is based on the slope.
I made this to help me visualize my DMI+ strategy, when I was looking at taking signals from Heikin Ashi but looking at candlesticks. Turns out, I was going down the wrong road. Now I'm looking into using the real OHLC values for generating signals but watching the Heikin Ashi chart as I find it easier to see trends on it.
Hopefully its useful to some people, and if you have any suggestions for improvements I'd love to know.
[fareid] Quick Backtest Framework█ OVERVIEW
This Framework allows Pine Coders to quickly code Study() based signal/strategy and validate its viability before proceed to code with more advance/complex customized rules for entry, exit, trailstop, risk management etc..
This is somewhat an upgraded version of my earlier personal template with different strategy used, cleaner code
and additional features.
█ USE CASES
- You have an idea for trade signal and need a quick way to verify its potential before writing lengthy/complicated code
- You found a study script for trading signal in public library and want to validate it profitability with minimum effort before including it in your trading playbook
█ FEATURES
- Alert: Ready to use alert function based on signals from your custom indicator.
- Visual Backtest: Auto-plot entry, stop-loss and take profit for simple strategy performance analysis
- Backtest Statistic: Provide basic key metrics based on backtest strategy
- BTE External Signal Protocol: Ready to use code that will supply required state to PineCoders Backtesting & Trading Engine if you wish to have more advance and sophisticated backtesting engine
Notes: All of the above features have On/Off toggle
█ Description & How To Use
This Framework consist of 5 Modules but you only need to edit the first 2 Modules:
Module1: Indicator
Module2: Framework Input Protocol
Module3: Alert
Module4: Backtest
Module5: Backtest & Trading Engine
Tips: The source-code includes collapsible block by module for easy navigating
Module1: Indicator:
-----------------------------------------------------------------------------------
Main Module. Place custom indicator input parameter/calculation/indicator plotting here
Sample Strategy: Double MACD Crossover
MACD Signal: 1st MACD Cross above signal line indicate Buy Signal
1st MACD Cross below signal line indicate Sell Signal
MACD Filter: 2nd MACD is above 0 line indicate Uptrend
2nd MACD is below 0 line indicate Downtrend
Module2: Framework Input Protocol:
-----------------------------------------------------------------------------------
Use this module to connect main indicator/signal calculated in Module1 to the rest of the framework's module
4 variables needed to be defined here:
1. Uptrend
2. Dntrend
3. BuySignal
4. SellSignal
i'm not sure how to place a code snippet here to show you example so in the source code i already put a comment in Module2 on which part u need to edit. I hope its pretty simple to use.
Module3: Alert Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the alert module is ready to use without any further modification.
Input:
Enable Alert --> Enable TV's alert and plot signal to chart
Alert Type --> Set to take Buy only, Sell only or Both alert
Module4: Backtest Module Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the backtest module is ready to use without any further modification.
Input:
Backtest Stat --> Enable Backtest Statistic Label
Backtest Visual --> Enable Backtest visual simulation
Backtest Type --> Set to take Buy only or Sell only or both
SL Type -->
ATR : Set SL in ATR times Multiplier below entry price
Fixed : Set SL in fixed point below entry point (in 'Dollar'). e.g. for Stocks -> 0.5 equals to 50cent while for EURUSD currency -> 0.005 equal to 50 pips
HiLo Bar: Set SL at highest/lowest wick of previous bar plus/minus Fixed point. e.g. EURUSD HiLo=3 and Fixed Point = 0.0005, buy trade will place SL 5 Pips below lowest of previous 3 bar
SL ATR Multi --> Set Lookback Period used for SL's ATR calculation
SL ATR Multi --> Set ATR Multiplier for SL
SL Fixed --> Set Fixed Level for SL
SL Bar --> Set Number of previous bar to check for SL placement
TP RR Ratio --> Set TP based on RR multiplier. e.g. 2 means TP level will be twice further from entry point compared to Entry-SL distance.
Notes: The point is for preliminary testing, so it only supports 1 trade at a time and no Trailing Stop
Module5: Backtest & Trading Engine Description:
-----------------------------------------------------------------------------------
As long as the variables in Module2 properly defined, the Pinecoders BTE module is ready to use without any further modification.
Input:
External Signal Protocol --> Set ESP State to send to "Backtesting & Trading Engine "
Signal With Filter --> Use this to send entry signal that already filtered by this study indicator (without stoploss level)
Signal Without Filter --> Use this to send raw entry signal that are NOT YET FILTERED by this study indicator (without stoploss level)
Signal and Stop With Filter --> Use this to send entry signal WITH StopLoss that already filtered by this study indicator (with stoploss level)
Signal and Stop Without Filter --> Use this to send raw entry signal WITH StopLoss that are NOT YET FILTERED by this study indicator (with stoploss level)
Notes: Backtesting & Trading Engine already have built-in Filter, Entries and Stop Level. e.g. Unselect all their filter state if only want to use custom filter and make sure send Signal with Filter (with or without SL level)
█ DISCLAIMER:
This framework main objective is to create my personal indicator template so that i just have to modify the indicator module for preliminary testing in future.
The sample strategy included are for educational purpose only. Use at your own risk
credit: LucF/PineCoders for a lot of his scripts that i use as a guide to complete this
Graham Net Current Asset Value per ShareNet current asset value per share (NCAVPS) is a measure created by Benjamin Graham as one means of gauging the attractiveness of a stock. A key metric for value investors, NCAVPS is calculated by taking a company's current assets and subtracting total liabilities.
NCAVPS = Current Assets - (Total Liabilities + Preferred Stock) ÷ Shares Outstanding.
According to Graham, investors will benefit greatly if they invest in companies where the stock prices are no more than 67% (or 2/3) of their NCAV per share (price <= (2/3)*NCAV).
Coloring pattern:
- price <= (1/3)*ncav -> light green
- (1/3)*ncav < price <= (2/3)*ncav -> green
- (2/3)*ncav < price <= ncav -> dim red
- price > ncav -> red
Long RSIThe RSI is a technical indicator generally used with the general setting being 14 days, and often shorter.
The accepted view is that a level of 70 indicates overbought conditions, and 30 indicates oversold conditions.
A short RSI setting will give signals quite often, and they might sometimes contradict each other.
As a individual investor, perhaps with a background in fundamental analysis, the RSI might be overlooked for other fundamental metrics.
But the idea here is that longer RSI settings can be used for investing.
The problem that arises is how to know when the indicator has reached a level that is either overbought or oversold.
This script solves that by using a specific look back period (selectable, but the standard is 1 year), and plotting the highest/lowest value that the RSI has had for that time period.
The idea is that a buy signal occurs when the indicator is at a 'historic' low, and a sell signal occurs when it at its 'historic' high.
Since you generally want to buy when the indicator is at its low, and has stopped decreasing, the script comes with a function that shows you when yesterdays value reached a historic low, but todays value is higher than yesterday.
This is shown by a color change of the background to green. The same is true, but opposite, for sell signals and then the background turns red.
THIS IS NOT TRADING ADVICE, AND YOU SHOULD ALWAYS DO YOUR OWN RESEARCH
GOOD LUCK AND HAPPY TRADING
Fundamental Metric to MarketThis script is supposed to be a quite basic way to find, from a fundamental standpoint, overvalue or undervalued stocks.
The script shows either Book to Market (inverse of P/B), EV /EBITDA, Earnings Yield (inverse of P/E) or Sales to Market (inverse of P/S).
For example, P/B is calculated as Close price / Book Value per share. As a contrarian investor you generally want to buy low P/B stocks and sell high P/B stocks. The problem is when a company has a negative Book Value. This might be the case when a company has written of a large amount of goodwill, which in turn wiped out their Book Value.
Instead you can use Book to Market, which is simply the inverse of P/B. It is calculated as Book Value per share / Close price. When using Book to Market you, generally, want to buy shares with high Book to Market values and sell those with low values. Because of the calculation, companies with negative Book Value will have negative Book to Market values and is therefore easy to identify.
The Fundamental Metric to Market indicator shows a colored background between the highest / lowest point of earlier values and the current value. When the background is mainly green the stock is probably undervalued, and the opposite is true when the background is red.
THIS IS NOT TRADING ADVICE, AND YOU SHOULD ALWAYS DO YOUR OWN RESEARCH
GOOD LUCK AND HAPPY TRADING
Graham NumberGraham Number is named after the “father of value investing,” Benjamin Graham, who was a mentor of Warren Buffett. The figure takes into account earnings per share and book value per share to measure a stock's maximum fair market value. In other words, it is the upper end of the price range that a defensive investor should pay for the stock.
The Graham Number = Square Root of (22.5) x (tmm EPS) x (mrq Book Value per Share).
The 22.5 is included in the formula as a rule of thumb to account for Graham's assumption that the price-to-earnings ratio should not be over 15 and the price to book ratio should not be over 1.5 for an undervalued stock. So, the number is generated as (P/E of 15) x (P/B of 1.5) = 22.5.
So the script generates a Graham number plot.
[Max] Power lag analysis An indicator that is a parametric lag power filter.
I'm starting Time Series Analysis by Hamilton James Douglas, to try to find some fun ideas to test and upgrade my skills on that subject and share them when it produce something that can be useful.
The idea behind that indicator, it's to only get the shape of the biggest movement in percent.
To solve that problem, I iterate about the rate of change of about 15 intervals and I apply a bigger power to the intervals that get bigger.
Why ? If the price is ranging, the indicator will show only the spics, but if the price breakout of the range, each new close that are longer from the price will have a better impact on the indicator and the last ones will be neglected.
I've try to use some parametric lag indicators on top of that indicator but he result is not good enough for me, it can't be used for trade directly but it can be an approach.
If you have upgrade ideas or recommendations on that indicator, I will be please to hear them.
Have fun with the script.
Have a great day !
Max
L1 Bitcoin Whale Pump DetectorLevel: 1
Background
One of the biggest differences between cryptocurrency and traditional financial markets is that cryptocurrency is based on blockchain technology. Individual investors can discover the direction of the flow of large funds through on-chain transfers. These large funds are often referred to as Whale. Whale can have a significant impact on the price movements of cryptocurrencies, especially Bitcoin. Therefore, how to monitor Whale trends is of great significance both in terms of fundamentals and technical aspects.
Function
L1 Bitcoin Whale Pump Detector script This is a simple technical indicator that judges whether Whale is involved in the relationship between price increase and trading volume. Its purpose is not to accurately judge Whale behavior, but to provide a starting point for more Pine lovers to develop more advanced Whale monitoring programs.
Key Signal
pumpcond1 use price information alone with 7% as a threshold
pumpcond2 use both price and volume infomation.
Pros and Cons
Pros:
1. Detect Whale pump in large time frame.
2. Not a mature and accurate buy and sell script but provide alerts of Whale movements.
3. When it resonante with Buy signal, it has higher confidence level.
Cons:
1. Only detect Whale Pump, not Whale Dump is realized.
2. Only provide large fund information, not an accurate trading signal generator.
Remarks
You can use this to confirm blockchain large fund transfer activities. E.g. Large amount of USDT flows into large exchanges.
Readme
In real life, I am a prolific inventor. I have successfully applied for more than 60 international and regional patents in the past 12 years. But in the past two years or so, I have tried to transfer my creativity to the development of trading strategies. Tradingview is the ideal platform for me. I am selecting and contributing some of the hundreds of scripts to publish in Tradingview community. Welcome everyone to interact with me to discuss these interesting pine scripts.
The scripts posted are categorized into 5 levels according to my efforts or manhours put into these works.
Level 1 : interesting script snippets or distinctive improvement from classic indicators or strategy. Level 1 scripts can usually appear in more complex indicators as a function module or element.
Level 2 : composite indicator/strategy. By selecting or combining several independent or dependent functions or sub indicators in proper way, the composite script exhibits a resonance phenomenon which can filter out noise or fake trading signal to enhance trading confidence level.
Level 3 : comprehensive indicator/strategy. They are simple trading systems based on my strategies. They are commonly containing several or all of entry signal, close signal, stop loss, take profit, re-entry, risk management, and position sizing techniques. Even some interesting fundamental and mass psychological aspects are incorporated.
Level 4 : script snippets or functions that do not disclose source code. Interesting element that can reveal market laws and work as raw material for indicators and strategies. If you find Level 1~2 scripts are helpful, Level 4 is a private version that took me far more efforts to develop.
Level 5 : indicator/strategy that do not disclose source code. private version of Level 3 script with my accumulated script processing skills or a large number of custom functions. I had a private function library built in past two years. Level 5 scripts use many of them to achieve private trading strategy.
Auto Analysis Short-term Reversals ExplorationAuto Analysis Short-term Reversals Exploration
Based on a study by Larry Lovrencic
Closing Price Reversals Automatic Analysis
Hook Reversals Automatic Analysis
Island Reversals Automatic Analysis
Key Reversals Automatic Analysis
Open/Close Reversals Automatic Analysis
Pivot Point Reversals Automatic Analysis
Efficient Support & Resistance LevelsThis script is a mixture of my two previous scripts "True Strong Classical Support/Resistance Levels" and "Hidden Supports & Resistances + Round Levels". This combination brings on better identification of the most efficient support/resistance levels.
Note that "Hidden SnR Levels" part of the code is only expected to work on Forex charts, but apart from that, the other parts could be applied to any chart.
The script may:
- Draw classical support/resistance levels which retraced the price previously, aided by multi-timeframe analysis
- Draw hidden support/resistance levels based on psychological patterns of the price
- Adjust to wicks better than Pine Script built-in pivot functions
- Differ the levels color based on chart reactions
- Merge nearby classical levels to avoid congestion on the chart
Feel free to use it and send me your thoughts.
Colored VolumeThe height represents total volume, the ratio of red to green represents the bullish/bearish volume. AKA buyers or sellers.
Intrinsic value calculation Intrinsic value calculator based on Warren Buffet's and Ben Graham's work
In value investing determing the true value of a COMPANY instead of a stock price is crucial.
This little indicator shows the "Intrinsic value" of the choosen stock meaning the value of the stock in 10 years time. Calculation is based on historical book value's average annual growth rate and dividends paid.
Since this is about long therm investing, use monthly charts.
"Intrinsic value can be defined simply: It is the discounted value of the cash that can be taken out of a business during its remaining life.”
– Warren Buffett
One way to calculate that is by the growth in per share book value and dividends taken in the forseeable future (10 years) than discount it with the prevailing 10 year note's rate.
In the inputs you have to set 2 variables:
1. How many years back you have the first data for book value per share available?
2. What was the per share book value that year?
(Bookvalue is ploted in olive colour and you can get the oldest one if you move your cursor over the latest data on the left)
CAUTION! You have to reenter it for every stock you analyse as this is stock-specific data!
After setting the input data, you will see the "Intrinsic Value"'s pink curve ploted over the price chart.
If the price is well below the pink line, the company is undervalued and can be a possible applicant for long therm investment.
Margin of safety: when the current price is 50% below the intrinsic value that means a 10% yearly growth potential (100% growth in 10 years) or a 100% margin of safety.
I am a beginer in Pine so please excuse my coding...
If anybody knows hot to extract historical data from 15 years ago, please share it with me, so I can automate the whole calculation without inputs necessary.
Funamental and financialsEarnings and Quarterly reporting and fundamental data at a glance.
A study of the financial data available by the "financial" functions in pinescript/tradingview
As far as I know, this script is unique. I found very few public examples of scripts using the fundamental data. and none that attempt to make the data available in a useful form
as an indicator / chart data. The only fitting category when publishing would be "trend analysis" We are going to look at the trend of the quarterly reports.
The intent is to create an indicator that instantly show the financial health of a company, and the trends in debt, cash and earnings
Normal settings displays all information on a per share basis, and should be viewed on a Daily chart
Percentage of market valuation can be used to compare fundamentals to current share price.
And actual to show the full numbers for verification with quarterly reporting and debuggging (actual is divided by 1.000.000 to keep numbers readable)
Credits to research study by Alex Orekhov (everget) for the Symbol Info Helper script
without it this would still be an unpublished mess, the use of textboxes allow me to remove many squiggly plot lines of fundamental data
Known problems and annoyances
1. Takes a long time to load. probably the amount of financial calls is the culprit. AFAIK not something i can to anything about in the script.
2. Textboxes crowd each other. dirty fix with hardcoded offsets. perhaps a few label offset options in the settings would do?
3. Only a faint idea of how to put text boxes on every quarter. Need time... (pun intended)
Have fun, and if you make significant improvements on this, please publish, or atleast leave a comment or message so I can consider adding it to this script.
© sjakk 2020-june-08
