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
Analisis Fundamental
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.
SFC MacroeconomicsThe Macroeconomics indicator can give us an instant view of the most important economic indicators. The indicator displays different tables in different sectors:
- Money : It give us a basic information about the money indicators in USA;
- Surveys: They are usually used as leading indicators.
- Inflation: It is showing overall inflation in the country
- Employment: Provides deep information about the current labor market
- Government: Usually legging indicators, but providing very good information about the USA
- Others: Few important indicators, for example GDP.
How we can use the indicator:
1) The indicator can be used to help traders, getting an instant overview of the economic indicators, helping them to create the Macroeconomic analysis.
2) The indicator can be use as a preparation before the high-impact news.
Note:
Yellow colour - leading indicators
Orange colour - legging indicators
Tables are showing the current data, also 12 months high and low. This is very important information, because it shows the extremes and normally if the current data is 12 months high or low it will be observed by the big players.
Before use this indicator, traders need basic macroeconomic understanding. A good knowledge is required in order to take advantage of the indicators and create the economic analysis or bias.
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.
TemelWith this indicator, you can follow the basic ratios of stocks after the balance sheet periods.
This indicator , make it easier for a quick glance of overall company financial health without switching tabs for every single stocks.
Gösterilen Finansal Veriler. (data shown)
* Satışlar ve Net Kar (Revenue & PAT (Profit after Tax)
* Net Kar Marjı (Net Profit Margin (%))
* Brüt Kar Marjı (Gross Profit Margin (%))
* Hisse Başına Kar (Earnings Per Share)
* Özkaynak Karlılığı (RETURN ON EQUITY)
* Aktif Karlılık (RETURN ON ASSETS)
* FAVÖK Marjı (EBITDA MARGIN)
* Temettü Verimi (DIVIDENDS YIELD)
* F/K
* PD/DD (BOOK VALUE PER SHARE)
* PEG Rasyosu
* ROIC (RETURN ON INVESTED CAPITAL)
* Cari Oran (QUICK RATIO)
Toggle between Quarter/Annual Financial Data
The accuracy of the data subject to Tradingview's source, but from my observation it's accurate 95% of the time
(Verilerin doğruluğu Tradingview'in kaynağına tabidir, ancak benim gözlemime göre, zamanın %95'i doğrudur.)
Recently published data might not be available immediately
(Yakın zamanda yayınlanan veriler hemen mevcut olmayabilir.)
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.
(Geçmiş performans gelecekteki sonuçların bir göstergesi değildir.
Görüş ve araştırmalarım bana aittir ve hiçbir şekilde finansal tavsiye niteliği taşımaz.
Tarafımdan yayınlanan hiçbir şey bir yatırım tavsiyesi teşkil etmez ve yayınladığım hiçbir veri veya İçeriğe herhangi bir yatırım/ticaret faaliyeti için güvenilmemelidir.
Herhangi bir finansal karar vermeden önce kendi bağımsız araştırmanızı yapmanızı ve/veya kalifiye bir yatırım uzmanıyla konuşmanızı şiddetle tavsiye ederim.)
edjj NewYork Option Strikesedjj NewYork Option Strikes is a membership-only weekly issued pinescript that displays New York option strikes and their amounts, including: USDJPY , EURUSD , GBPUSD , AUDUSD , NZDUSD , USDCAD , EURGBP , etc. Over 1 billion strikes are automatically highlighted. To get access, follow the instruction below.
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
[Tommy's Inflation Index]#Inflation #FEDWATCH #FA
Hello dear beloved Traders and Investors around the world! As you are aware, the world is on a fierce battle against the inflation caused by the massive QE (Quantitative Easing) after the pandemic. All we see on the news is about this very world-wide fiscal phenomenon and how central bank of each nation are controlling it with their monetary policies. Consequently, FED’s hawkish stance to maintain tightening position has suppressed our market. The interest rates have spiked more rapidly than ever absorbing all the cash in the market.
The confrontation between Inflation Vs. Recession currently is the most integral and yet complex issue that needs to be wisely dealt with. Anyhow, whether we want it or not, the markets are being directly impacted by the tension of this inflation war. Hence, traders and investors should keep our eyes on the circumstances and trends of macro-economy to possibly comprehend, forecast, and prepare for the upcoming events. Economic indexes and data are always to be regularly monitored. Especially, inflation related indexes such as CPI (Consumer Price Index), PCE (Personal Consumption Expenditure), PPI (Produce Price Index) and Michigan inflation have stronger interrelation with the market these days.
Tradingview provides many economic indexes and data as you can see in the economy sector of the symbol search. I have found it quite useful to track the macro economy analyzing these data. As globally, people generally refer to the YoY (Year over year) and MoM (Month over month) since the relative percentage change rate is the key factor. There are raw data of CPI, PCE, PPI as well as the core of all these etc. on Tradingview. But unfortunately, there are no YoY and MoM (Only a few) data. Don’t worry. Today is your lucky day because I made them myself for you.
Today I wish to share the “Inflation Index” that I have been working during the Korean’s New Year Holidays. It automatically computes and visualizes the CPI, core CPI, PCE, core PCE, PPI, and core PPI both YoY and MoM. It might show you wrong values or errors if your chart is not on Monthly timeframe. By the way core inflation is goods and services sectors, excluding food and energy. If you check ‘Core or not?’ box, it distinguishes the regular and core indexes. I am going to regularly update this inflation index on pine script, so go ahead. It’s all yours!
Your subscription, likes, and comments inspire me a lot!
#인플레이션 #연준 #FA
안녕하세요 트레이더 여러분 토미입니다!
과도한 양적완화 여파로 생긴 인플레이션 사태를 잡기 위해 미국 연준을 포함한 각국의 중앙은행은 이례적으로 강력한 긴축정책을 펼치고 있습니다. 특히 그 어느때보다 연준의 FOMC 회의 및 기준 금리 변경 사안에 영향을 미칠 만한 여러 경제 지표들에 시장이 민감하게 반응하는 실정입니다. 여기 계신 분이라면 요즘 CPI(소비자물가지수), PCE(개인소비지출물가지수), PPI(생산자물가지수), 그리고 미시간 물가지수 등 미국 인플레이션 관련 지수들이 얼마나 중요한지 알고 계시리라 생각합니다. 코인, 주식, 선물 등 종목을 불문하고 우리가 원하던 원하지 않던 애네들 발표될 때마다 시장이 미친듯이 요동치는 사실은 부정할 수 없습니다.
최근 트레이딩뷰도 많은 경제 지표들을 제공해주고 있습니다. 우리가 자주 보는 CPI, PCE, 그리고 PPI도 있지만 우리가 통상적으로 참고하는 인플레이션 수치는 해당 지표들의 YoY(전년대비)와 MoM(전월대비)입니다. 아쉽게 트레이딩뷰에는 YoY와 MoM 수치가 없어서 대부분 뭐 인베스팅닷컴이나 구글 이런 곳에서 보셨을 겁니다. 그래서 그냥 제가 트레이딩뷰에서도 쉽게 열람할 수 있게 만들어버렸습니다. CPI, PCE, PPI, 근원 CPI, 근원 PCE, 그리고 근원 PPI의 YoY와 MoM 지수를 쉽게 볼 수 있게 디자인했습니다. 설날에 집에 짱박혀서 코딩만 했네요. 차트 상단 지표(Indicator)에 Tommy’s Inflation Index 검색 후 클릭하시면 사용하실 수 있습니다. 참고로 차트가 월봉으로 되어있지 않으면 오류가 발생할 가능성이 높으니 이 점 양해바랍니다. 지표 즐겨찾기에 추가 해놓고 중간중간 필요할 때 켜서 보시면 될 것 같습니다. 이 지표는 제가 주기적으로 업데이트 할 예정이니 앞으로도 많은 관심 부탁드립니다.
여러분의 구독, 좋아요, 댓글은 저에게 큰 동기부여가 된답니다~
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.