Index Value RainbowThis indicator is used to estimate Index valuation based on each countries base money supply M0. The chart will compare how the index value will move alongside with base money supply for comparison study. The chart presented here is just a relative comparison with some scaling and shifting so it doesn't refers to any real measurement. However it can be used to track the index whether it's too cheap or too expensive in relative to money supply available in the market.
- The gray line represent the money supply M0
- The rainbow above the gray line represent the multiplication factors from 1x, 2x, ..., 10x
- The rainbow below the gray line represent the division factors from 0.8x, 0.6x, ..., 0.2x
This indicator can only be used with specific indices mentioned below. Currently can be used to estimate the value of largest indices by market cap:
- US Index - based on Fed Balance Sheet (SPX, NDX, DJI, RUI, RUT, RUA, ES1!, NQ1!, YM1!, RTY1!)
- EU Index - based on M1 Money Supply (N100, EU500)
- JP Index - based on M0 Money Supply (NI225, NKY)
- CN Index - based on M0 Money Supply (000001, 399001)
- HK Index - based on M0 Money Supply (HSI)
- SG Index - based on M0 Money Supply (STI)
- CA Index - based on M0 Money Supply (TSX)
- AU Index - based on M0 Money Supply (ASX200, AUS200)
- ID Index - based on M0 Money Supply (COMPOSITE)
Check other script to value stock and index:
- Stock Value Rainbow: script to value stock based on book value, earning, dividend and cash flow
- Index Value Rainbow: script to value index based on fed balance sheet and base money supply
- Gold Value Rainbow: script to value gold based on global money supply
- Stock Value US: script to check US stock value
- Stock Value EU: script to check EU stock value
- Stock Value JP: script to check JP stock value
- Stock Value CN: script to check CN stock value
Phân tích Cơ bản
Bitcoin Correlation MapHello everyone,
This indicator shows the correlation coefficients of altcoins with bitcoin in a table.
What is the correlation coefficient?
The correlation coefficient is a value that takes a value between 0 and 1 when a parity makes similar movements with the reference parity, and takes a value between 0 and -1 when it makes opposite movements.
In order to obtain more meaningful and real-time results in this indicator, the weighted average of the correlation values of the last 200bar was used. You can change the bar length as you wish. With the correlation value, you can see the parities that have similar movements with bitcoin and integrate them into your strategy.
You can change the coin list as you wish, and you can also calculate their correlation with etherium instead of bitcoin .
The indicator shows the correlation value of 36 altcoins at the moment.
The indicator indicates the color of the correlated parities as green and the color of the inversely correlated parities as red.
Cheers
Dark Energy Divergence OscillatorThe Dark Energy Divergence Oscillator (DEDO)
What makes The Universe grow at an accelerating pace?
Dark Energy.
What makes The Economy grow at an accelerating pace?
Debt.
Debt is the Dark Energy of The Economy.
I pronounce DEDO "Deed-oh", but variations are fine with me.
Note: The Pine Script version of DEDO is improved from the original formula, which used a constant all-time high calculation in the normalization factor. This was technically not as accurate for calculating liquidity pressure in historical data because it meant that historical prices were being tested against future liquidity factors. Now using Pine, the functions can be normalized for the bar at the time of calculation, so the liquidity factors are normalized per candle, not across the entire series, which feels like an improvement to me.
Thought Process:
It's all about the liquidity. What I started with is a correlation between major stock indices such as SPX and WRESBAL , a balance sheet metric on FRED
After September 2008, when QE was initiated, many asset valuations started to follow more closely with liquidity factors. This led me to create a function that could combine asset prices and liquidity in WRESBAL , in order to calculate their divergence and chart the signal in TradingView.
The original formula:
First, we don't want "non-QE" data. we only want data for the market affected by QE .
So, find SPX on the day of pre-QE: 1255.08 and subtract that from the 2022 top 4818.62 = 3563.54
With this post-QE SPX range, now you can normalize the price level simply by dividing by the range = ( SPX -1255.08)/3563.54)
Normalization produces values from 0 to 1 so that they can be compared with other normalized figures.
In order to test the 0 to 1 normalized SPX range measure against the liquidity number, WRESBAL , it's the same idea: normalize it using the max as the denominator and you get a 0 to 1 liquidity index:
( WRESBAL /4276000000000)
Subtract one from the other to get the divergence:
(( WRESBAL /4276000000000)-(( SPX -1255.08)/3563.54))*10
x10 to reduce decimal places, but this option is configurable in DEDO's input settings tab.
Positive values indicate there's ample liquidity to hold up price or even create bullish momentum in some cases. Negative values mean price levels are potentially extended beyond what liquidity levels can support.
Note: many viewers of the charts on social media wanted the values to go down in alignment with price moving down, so inverting the chart is what I do with Option + I. I like the fact that negative values represent a deficit in liquidity to hold up price but that's just me.
Now with Pine Script and some help from other liquidity focused accounts on TradingView , I was able to derive a script that includes central bank liquidity and Reverse Repo liquidity drain, all in one algorithm, with adjustable settings.
Central bank assets included in this version:
-JPY (Japan)
-CNY (China)
-UK (British Pound)
-SNB (Swiss National Bank)
-ECB (European Central Bank )
Central Bank assets can be adjusted to an allocation % so that the formula is adjusted for the market cap of the asset.
A handy table in the lower right corner displays useful information about the asset market cap, and percentage it represents in the liquidity pool.
Reverse repo soak is also an optional addition in the Input settings using the RRPONTSYD value from FRED. This value is subtracted from global liquidity used to determine divergence since it is swept away from markets when residing in the Fed's reverse repo facility.
There is an option to draw a line at the Zero bound. This provides a convenience so that the line doesn't keep having to be redrawn on every chart. The normalized equation produces a value that should oscillate around zero, as price/valuation grows past liquidity support, falls under it, and repeats in cycles.
Global Net LiquidityShows the value of Global Net Liquidity.
Currently defined as:
Fed + Japan + China + UK + ECB - RRP - TGA
where the first five components are central bank assets.
Global Net Liquidity - Dow Jones Global Fair ValueThis is similar to Global Net Liquidity - SPX Fair Value except it's for Dow Jones Global (symbol: W1DOW here on TradingView).
This is experimental and may change at any time.
Global Net Liquidity - SPX Fair ValueThis is similar to the SPX Fair Value Bands indicator.
It currently only displays the fair value.
The original SPX Fair Value formula only includes the Fed balance sheet data.
This indicator incorporates the following central bank assets:
Fed
Japan
China
UK
ECB
This is currently experimental. Feel free to explore using different formula constants.
ONCHAIN: BTC HOLDERS/RETAIL Assets RatioThis indicator is based on on-chain data developed exclusively for Bitcoin
This indicator measures the ratio of Hodlers' assets to Retails' assets based on the On-chain data of Intotheblock platform (you can find it on Sources). This is consistent with Wyckoff's theory of accumulation and distribution. At the top of the market, Hodlers have sold most of their assets to retailers, so this ratio is at its lowest. At market bottoms, Hodlers accumulates the asset at low prices. The uptrend and downtrend of this indicator can also be used to confirm the uptrend or downtrend of the Bitcoin market.
Kitti-Playbook request.earnings R0.0Date: Feb 5 2023
Objective :
Display Earnings per share
Calculation :
Get Earning value by use Function "request.earnings "
Display :
Plot Earnings Data
Earnings History Tab
Financials - Comparing CompaniesHello All
For a while I have been working on this indicator to compare financials of the companies and sort them accordingly. Finally I completed and published it. I preferred using new object type feature in Pine language™ and I hope it might be an example and helpful for the developers.
First of all, as we have limitation on security calls, the indicator can get and compare financials for 5 companies only. also Chart time frame must be 1Day or higher! ( I recommend 1Day time frame ). if not then the indicator stops and shows the error message: "Please set the time frame 1Day or higher" . More important than others: You should choose the companies from the same sector! Compare apples to apples :)
The Financials in the indicator:
Earnings Per Share
Price to Earnings Ratio
Price to Sales Ratio
Price to Book Ratio
Profit Margin
Dept to Equity
Current Ratio
Market Capitalization
Also more information shown for each stocks:
Closing Price, sets the color accordingly
2 Simple/Exponential moving average, you can set the length, also it checks if it is rising/falling and sets the color accordingly
Volume info
Average volume (20 days), you can set the period
Currency for each security
Lets see some features in it:
it sorts the companies according to the financials:
If you move the mouse onto any header then it shows explanation about the financial:
You can change location and text size:
You can set the type of Moving averages as SMA or EMA and you can also set the length for both . Headers for both are changed automatically by MA type and length
Colors for Closing price and MA cells are set automatically:
For new Objects in Pine language click here
P.S. You can use this indicator while analyzing the financials of the companies in same sector/industry. So please don't ask for the alerts :)
Enjoy!
Kitti-Playbook request.dividends R0.0 Date Feb 5 2023
Objective : Display Dividends Amount per Share
Calculation :
Use function ==> request.dividends(ticker, field, gaps, lookahead, ignore_invalid_symbol, currency )
Display : The value get from " request.dividends "
AIO Key LevelsAll In One Key Levels - Displays key levels for any type of chart.
Over 30 levels at your complete disposal.
Filled with a host of features that allow you to customise the appearance and display of the indicator to suit your individual trading style.
The result is a clear and concise indicator that helps traders easily identify key levels.
- The indicator is easy to use and does not need a detailed description.
- With customisable input parameters such as display style, line style, font style, offset, threshold and index.
- The colours for the key levels can also be customised.
- The script uses a 'switch' function and selected input parameters to set display, line and font styles.
- The key levels are constructed using the data received and the selected styles and colours.
- A unique cycle helps to improve the readability of the levels without "polluting" the graph with multiple labels
- In addition, I have left hints in the indicator to help you understand it better.
For Pine coders.
Why did I create it when there are many counterparts?
Simply because counterparts have very large and complex code and modest functionality and flex.
Here I have managed to fit it into 100 lines still readable.
You can learn how to call lots of lines and marks with just one function.
I also created a unique loop that connects labels if they are too close together for better visibility on a plot.
I have left detailed comments for each action.
I would be glad if someone could tell me how to make it more easier.
Global LiquidityPlots the sum of the balance sheets of the world's major central banks - FED, ECB, BoE, PBoC, BOJ, India and Switzerland - in a currency of your choice. Defaults to USD.
Also shows FED net liquidity (balance sheet - tga - rrp) for comparison. Uses a configurable multiplier to make the two lines viewable on the same price scale.
Peer Performance - NIFTY36STOCKSI have created a peer performance dashboard for:
36 stocks from:
5 sectors of Nifty 100
This kind of dashboard is very useful for traders when they are planing to trade in a stocks and like to see how that is stocks is performing against other stocks in the same sector . Picking outperforming stocks will always give outstanding results when market starts moving. os having view on teh complete sector will always be good for traders before picking a specific stock.
Sectors covered in this indicators are:
Indian Auto Sector
Banking Sector
Oil, Gas and Energy Stocks
Cement Sector
Technology Sector
It will help traders reviewing performance ( stock return in last 1 year) of group of stocks from a particular sector .
Basically 5 functions are used to plot this dashboard
using "if " function to shortlist the stocks and the sector it belongs to.
tablo function to plot a table with specific parameters like number of row and columns, color of the frame of table
Getting yearly return into a series of variables using "request.security" function
str.tostring function is used to convert yearly return into a series of text so that it can inserted into the table cell.
finally plotting all the text and yearly return values using table.cell function
ValueBands for Acceptable P/E/ and P/B# What's this script?
Plot BookValue/share and TangibleBookValue/share
Visualization of Price Bands for Acceptable P/E and P/B
Adaptation to Currency Change
When TTM(FQ) financial data is not available, FY financial data is used to supplement the TTM(FQ) data.
#Parameter
P/E : acceptable price ratio of Earnings per share. Default is 15
P/B : acceptable price ratio of Book value per share. Default is 1.5
P/TB : acceptable price ratio of Tangible Book value per share. Default is 1.5
#Line
## Books
BookValue : book value per share
TangibleBookValue :tangible book value per share
## Acceptable Prices
Acceptable P/E : P/E * EPS
Acceptable P/B : P/B * BVPS
Acceptable P/TB : P/TB * TBVPS
## Geometric mean
GeometricMean(APE&APB) : sqrt(APE*APB). Geometric mean of "Acceptable P/E" and "Acceptable P/B". if PE15 & PB1.5 then GrahamNumber .
GeometricMean(APE&APTB) : sqrt(APE*APTB). Geometric mean of "Acceptable P/E" and "Acceptable P/TB".
## color fill
BV -TBV .Fill color is TBV line
APE -APB .Fill color is the color of the larger APE and APB lines
I am not a programmer, so I can only provide crude functionality, but I hope it will be of some help to you
---------------------
◆これなに
指定したPEやPBの価格帯がチャートにのります
通貨変更に対応したスクリプトがなかったからつくりました
期のデータが無いところは年のデータをミックスして補完して、長短期どちらの検討でも使いやすくしました
プログラマーじゃないから必要なものだけですけど、よかったらつかってみてくださいね
1. 一株当たり純資産の線
2. 一株当たり有形固定資産の線
3. 1と2の間を2の線の色で塗りつぶし
4. 設定画面で指定した許容P/E相当の価格線。デフォルトは15
5. 設定画面で指定した許容P/B相当の価格線。デフォルトは1.5
6. 4と5のあいだを塗りつぶし。大きい値の方の線の色で塗りつぶされます
7. 設定画面で指定した許容P/TB相当の価格線。デフォルトは1.5
8. 4と5の相乗平均。もしPE15,PB1.5にしてたらGrahamNumber 。
9. 4と6の相乗平均
USD Liquidity IndexThis USD Liquidity Index composed of 2 parts, total assets and major liabilities of the Federal Reserve .
There is a certain positive correlation between USD liquidity and risk asset price changes in history.
Suggested that USD Liquidity is mostly determined by the Federal Reserve balance (without leveraged), this index deducts three major liabilities from the total assets (in green color line) of the Federal Reserve . They are the currency in circulation (WCURCIR) in gold color, the Treasury General Account (WTREGEN) in blue color, the Reverse Repo (RRPONTSYD) in red color.
The grey line is the calculation result of the USD Liquidity Index. With it goes up, liquidity increases, vice versa.
Stablecoin supplies [USD bn]This script shows crypto market inflows/outflows by showing the USD stablecoin supplies, using data from glassnode.com :
GLASSNODE:BUSD_SUPPLY
GLASSNODE:USDT_SUPPLY
GLASSNODE:USDC_SUPPLY
Using a simple 20 EMA, the line will change color showing stablecoin inflow or outflow. Traders can consider stable coin inflows (green) as bullish for Bitcoin price, while stable coin outflows (red) should be considered bearish for price.
Stablecoins DominanceStablecoins Dominance
The purpose of the script is to show Stablecoin's strength in the crypto markets.
5 Largest Stablecoins divided by Total Market Cap
Altcoin Dominance (without ETH) Excluding Stablecoins UnsymetricAltcoin Dominance (without ETH) Excluding Stablecoins Unsymetric
The purpose of the script is to show Altcoin's strength without Ethereum once we exclude stablecoins.
So we look into all altcoins besides eth and besides stablecoins divided by a value of eth+btc
Altcoin Dominance Excluding EthereumAltcoin Dominance Excluding Ethereum
The purpose of the script is to show Altcoin's strength without Ethereum.
Pretty much shows Altcoin's Dominance in comparison to Market Cap once we exclude Ethereum.
ETH Dominance Excluding StablecoinsETH Dominance Excluding Stablecoins.
The purpose of the script is to show Ethereum's strength relative to other cryptocurrencies.
Pretty much shows ETH Dominance in comparison to Market Cap once we exclude the 5 largest stablecoins.
Stock Value EUThere are many method of measuring value of stock. However I'm proposing most basic stock valuation based on Book Value, Earnings , Dividends and Money Supply:
SV = (BVPS + EPS + DPS ) * ( M3 /M1)
BVPS = Book Value Per Share (Asset - Liability)
EPS = Earnings Per Share
DPS = Dividends Per Share
M3 = M3 Money Supply (Money Market)
M1 = M1 Money Supply (Base Money)
Fundamental value of a stock should be determine by it's BV which means total asset of a company if were liquidated today and use some of it's asset to pay of the debt. So technically BVPS is the intrinsic value of a stock. However the company is generating an earning which is profit and loss that should be added on top of the fundamental value of company, so thus EPS should be added on top of Book Value Per Share. Aside from earnings , the stock that you purchase give you dividends as your return so DPS also can be included on top of that. So all in all BVPS, EPS and DPS are the primary valuation of the stock. However most of the stock are traded way higher than their fundamental valuation. The main reason of this is the market dynamics which is driven by central banks printing of base money supply M0. The banking credit system then lend out this money to money markets as loan so that peoples can invest and by the company stock. This money supply extension of credit is known as money market M2 which drive the stock inflated price. The ratio between M2 and M0 are the money multiplier effect that drives the stock price higher than it's valuation. So the Stock Value should be the total number of BVPS + EPS + DPS times the M2 money multiplier as shown by this indicator.
If the stock are traded above their SV value, that means it's an overpriced bubble
If the stock are traded below their SV value, that means it's an underpriced burst
This indicator is only applicable for EU based stock chart, because we use EU money supply to do the money multiplier calculation. For other country stocks take a look our other indicator:
- Stock Value EU - applicable for European stocks
- Stock Value CN - applicable for Chinese stocks
- Valuation Rainbow - applicable for all countries
Live Portfolio ScreenerThe live portfolio screener indicator is a tool that help users to track the performance of their investments in real-time. The indicator provides a detailed breakdown of the user's portfolio, including the current profit and loss (P&L) for each stock that is invested in. This allows users to quickly and easily see how their portfolio is performing and make informed decisions about their investments on charts. Overall, this tool is an essential tool for anyone looking to stay on top of their investments and make data-driven decisions.
This indicator can load any symbol globally usable.
How to use this indicator ?
in this indicator firstly
you have add script name. (For example if you want to add symbol you have add in 's01 ' means the first symbol)
after that
you have to add price for each (For example if you want to add buy price for the first symbol then add the buy price in ' Bp01 ')
then the quantity comes in picture which is below price list and named here as Bq01 which means 'Buy quantity for first symbol'
