PBoC Liquidity Injections [tedtalksmacro]This script shows open market operations by the world's fourth largest central bank (by assets) - the people's bank of china.
Use this script on the 1D timeframe and higher to understand where there are periods of heightened intervention by the PBoC where financial conditions in China are loosened! Looser financial conditions often correlate with higher risk asset prices.
Takes into account:
- PBoC RR operations [ ECONOMICS:CNLIVRR ]
펀더멘털 어낼리시스
USD Market Liquidity [tedtalksmacro]This script aggregates and analyses total USD market liquidity in trillions of dollars - albeit with lagged, weekly data (live data is not available in TradingView!)
There's a positive correlation with the total liquidity available in the world's largest economy and risk assets like BITSTAMP:BTCUSD
The formula for net liquidity is as follows and uses account balances at the Fed and of the Treasury's General Account:
Fed Balance Sheet ECONOMICS:USBBS — Accepted Reverse Repo Bids FRED:RRPONTTLD — Treasury General Account Balance FRED:WTREGEN
This script shows positive prints when liquidity is above it's 7 day EMA and negative when below... don't use this on timeframes lower than the 1D chart!
Grenblatt Magic FormulaThe magic formula is an investing strategy created by Joel Greenblatt that focuses on finding the best price to buy certain companies in order to maximize returns. When Greenblatt coined the term magic formula investing, his portfolio had a return of 24% from 1998 to 2009.
This means that $10,000 invested at 24% for the period would have turned into just over $1 million. A fund based on the S&P 500 index for the same period would have turned that $10,000 into just under $75,000.1
Note
Bigger returns matter, especially over long periods, due to the power of compounding.
Others who ran their own experiments were not able to duplicate Greenblatt's high returns but still yielded positive results. As a result, investing experts agree that the strategy of magic formula investing outperforms the indexes. In most cases, though, it doesn't seem to beat indexes by as much as Greenblatt indicated when he introduced the concept in his book, The Little Book That Beats the Market.
There are two ratios in the magic formula. The first is the earnings yield: EBIT /EV. This is earnings before interest and taxes divided by enterprise value.A simpler and more common version of this ratio is earnings /price. Greenblatt prefers EBIT over earnings , because EBIT more accurately compares companies with different tax rates. EV is preferred to share price because EV also factors in the company's debt. Therefore, EBIT /EV provides a better picture of overall earnings than earnings /price.
The second ratio is return on capital, which is EBIT /(Net Fixed Assets + Working Capital)
The first ratio looks at earnings before interest and taxes compared to enterprise value. The second ratio focuses on the earnings relative to tangible assets. Many assets listed on the balance sheet depreciate over time as their usefulness is used up. These types of assets are called "fixed assets."
Net fixed assets are fixed assets minus all the accumulated depreciation and any liabilities associated with the asset. This gives a more accurate sense of the real value of a company's assets, compared to just looking at the total asset number on the balance sheet . Working capital is also part of this ratio and is current assets minus current liabilities. This gives a picture of whether the company is likely able to continue operations in the short term.
While the two ratios in the magic formula look small, they actually are computing a lot of data about the inner workings of a company, including:
Earnings
Interest
Tax rates
Equity price
Debt
Depreciation of assets
Current assets
Current liabilities
Overvalued/Undervalued OverlayThis indicator will tell you whether the security you are looking at is overvalued or undervalued using a company's total assets and their market cap. In theory, a company's total assets is everything that they own, which then should technically be how much the company is worth. Therefore, if the company's market cap is higher than their total assets, the indicator will read "Overvalued by X%". However, if the company's market cap is lower than their total assets, the indicator will read "Undervalued by X%". If you have any questions, feel free to let me know. Keep in mind that this indicator should be only used for long-term investing.
Gold Value RainbowThis indicator can only be used with 'GOLD' ticker. It is used to estimate Gold valuation based on major countries base money supply M0 such as US, EU, JP and CN. These 4 countries represent nearly 75% of total global money supply in the world. The chart will compare how gold 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 gold price whether it's too cheap or too expensive in relative to money supply available in the market.
- The gray line represent major countries 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
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
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
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
