CC RSI [Rogulabo]2 indicators in 1.
Included Indicators are:
- Correlation Coefficient
- RSI
Basic usage of these indicators respectively are:
- CC value of 1 represents a perfect correlation, while a value of -1 represents an inverted correlation.
- RSI values above 70 is commonly overbought, whilst below 30 is oversold.
Please recognize that these are simplified explanations.
Reasons for 2 in 1 assembly:
This indicator is intended to be used by students, and followers of Dan Takahashi
(a prominent educator of investing in Japan who is also a user of TradingView) .
Those who wants to use and learn with the same setup as Dan, would greatly benefit from this since,
the complex setting up process which can be a pain for beginners can be skipped with a simple click.
Every stylistic choice of color and placement were made to make it similar to the chart used by Dan.
Simple customizations are available such as:
- Changing color
- Changing the values
- Hide/show controls
Notes:
This is intended to be used alongside “MA ICHI BB ” for the complete the setup.
Any questions, please refer to:
@rogulabo
＝＝
高橋ダンさんが使用されてるチャートと同様のセットアップの為にご活用ください。
複数のインジケータをグループにしておりますので、無料版を使われてる方は効率よく使っていただけると思います。
また、“MA ICHI BB ”どいうタイトルのインジケータも同時に公開しておりますので、セットアップを完成させたい方はこちらもご活用ください。
以下のインジケータを含みます。
・相関係数
・RSI
カスタマイズされたい方はご自由に値を変更ください。
ご質問は ＠rogulabo までよろしくお願いいたします。
Współczynnik Korelacji (CC)
CC STOCH RSI [Rogulabo]3 indicators in 1.
Included Indicators are:
- Correlation Coefficient
- RSI
- Stochastics
Basic usage of these indicators respectively are:
- CC value of 1 represents a perfect correlation, while a value of -1 represents an inverted correlation.
- RSI values above 70 is commonly overbought, whilst below 30 is oversold.
- Stochastics for describing the momentum and turning points of price swings.
Please recognize that these are simplified explanations.
Reasons for 3 in 1 assembly:
This indicator is intended to be used by students, and followers of Dan Takahashi
(a prominent educator of investing in Japan who is also a user of TradingView) .
Those who wants to use and learn with the same setup as Dan, would greatly benefit from this since,
the complex setting up process which can be a pain for beginners can be skipped with a simple click.
Every stylistic choice of color and placement were made to make it similar to the chart used by Dan.
Simple customizations are available such as:
- Changing color
- Changing the values
- Hide/show controls
Notes:
This is intended to be used alongside “EMA ICHI BB ” for the complete the setup.
Any questions, please refer to:
@rogulabo
＝＝
高橋ダンさんが使用されてるチャートと同様のセットアップの為にご活用ください。
複数のインジケータをグループにしておりますので、無料版を使われてる方は効率よく使っていただけると思います。
また、“EMA ICHI BB ”どいうタイトルのインジケータも同時に公開しておりますので、セットアップを完成させたい方はこちらもご活用ください。
以下のインジケータを含みます。
・相関係数
・ストキャスティクス
・RSI
カスタマイズされたい方はご自由に値を変更ください。
ご質問は ＠rogulabo までよろしくお願いいたします。
Spearman Rank Correlation CoefficientI'm pleased to introduce this script in honor of the new array functions introduced to PineScript version 4.0. This update is a long time coming and opens the door to amazing scripting possibilities!
Definition
Named after Charles Spearman and denoted by the Greek letter ‘ ρ ’ (rho), the Spearman rank correlation coefficient is the nonparametric version of the Pearson correlation coefficient . Use the Spearman rank correlation when you have two ranked variables, and you want to see whether the two variables covary. That is, as one variable increases/decreases, the other variable tends to increase/decrease respectively.
It is best used to discover if two variables (and in this first version of the indicator, two ticker symbols) increase and decrease together. There are advantages to using this version of correlation vs. the Pearson R.
Interpretation
The value oscillates between +1 and -1.
A value of +1 means the two variables are perfectly correlated, that is they are increasing and decreasing together in perfect harmony.
A value of -1 means the two variables exhibit a perfect negative correlation, that is they increase and decrease oppositely.
A value of zero means the two variables are not correlated at all (noise).
Portfolio ManagerMeet our all-new Portfolio Manager
The idea of such a tool was the lack of anything like that out there. Recently I've seen that the culture most common around the newcomers to trading has become extraordinarily scalping-like and much leaned on high-risk operations.
Fundamental cornerstones of math and statistics that are keys to lasting networth growth have been wholly forgotten.
One of the most efficient and simple ways that I tell my friends to make money without getting too technical is diversification.
It's merely math; I suggest reading about the Modern Portfolio Theory, based on the work about diversification of uncorrelated assets by Markowitz(Nobel-winner because of that).
Translating it to mere humans, the more assets you have, the more uncorrelated they are(as in their pattern of moves are nothing alike), the fewer risks of losing money in a given time you have.
So by following such stats, it's clear to say that's always important to trade on different fronts.
To quantify and qualify who diversified you are and how much risk you're taking, we decided to create a pretty handy tool.
Let's get the samba going:
C-Index is the individual correlation score of that asset compared to the given portfolio correlation average.
C-Score is the final correlation score of your portfolio.
Below that, we got the performance tracker, whatever timeframe you're benchmarking your portfolio, it will show there. I like to back-test for one year.
And last but not least, we have a proprietary risk exposure gauge, so we run a few math tricks, and we calculate how was the maximum of your investment that was exposed through-out the time range we set in. So let's say we have a 10% risk exposure over 365 days. It means that over one year at maximum we could have lost 10% of our investment.
If you're not familiar with correlation:
-> +100 score = Fully Correlated(Similar Behaviors)
-> 0 Score = Totally Uncorrelated(Different Behaviors)
-> -100 score = Inversely Correlated(Opposite Behaviors)
So any asset that averages between -20 and 20 is very little correlated to its comparison. Therefore, their pattern of behavior tend to be independent
By comparing the change and the risk exposure, you can assess your risk/reward ratio - golden information.
Not only that, but we also added several markets so you can easily benchmark your portfolio(up to 9 custom assets) to a diversified gamma of markets in the world.
We diversified each benchmark portfolio within its available industries for maximum risk mitigation.
You can change your benchmark range, nine custom assets, labels preferences, and nine benchmark portfolios, including NIKKEI, NASDAQ, IBOV , ASX , DAX , CRYPTO, FOREX, FTSE , SHANGHAI.
If you liked what you see take a look at our signare to get access to our scripts!
Bayes Probability Index by DGTWhat is Probability?
It is a measure for calculating the chances or the possibilities of the occurrence of a random event. In simple words, it calculates the chance of the favorable outcome amongst the entire possible outcomes. Mathematically, if you want to answer what is probability, it is defined as the ratio of the number of favorable events to the total number of possible outcomes of a random events.
Is this enough? May be or may be not
Let’s consider an example,
A simple probability question may ask: "What is the probability of Amazon.com's stock price falling?"
How about if we extend our question a step further by asking: "What is the probability of AMZN stock price falling given that the Dow Jones Industrial Average (DJIA) index fell earlier?"
Now we are ready to consider conditional probability and Bayes' Theorem is where we could find answer to this question
Bayes' Theorem
Bayes' theorem, named after 18th-century British mathematician Thomas Bayes, is a mathematical formula for determining conditional probability. Conditional probability is the likelihood of an outcome occurring, based on prior knowledge of conditions or another related event occurring. Bayes' theorem provides a way to revise existing predictions or theories (update probabilities) given new or additional evidence. Bayes' theorem thus gives the probability of an event based on new information that is, or may be related, to that event
Formula For Bayes' Theorem
P(A|B) = P(B∣A) * P(A) /P(B)
= P(B∣A) * P(A) / (P(B∣A)* P(A) + P(B∣A’)* P(A’) )
where
A and B are events and P is probability
P(A|B) is the posterior probability, the probability of A after taking into account B
P(A) is the prior probability, the probability of A belief
P(A’) is the prior probability, the probability of A disbelief : P(A’)=1- P(A)
P(B) is the prior probability, the probability of B belief
P(B∣A) is the conditional probability or likelihood, the degree of belief in B given that proposition of A belief (A true)
P(B∣A’) is the conditional probability or likelihood, the degree of belief in B given that proposition of A disbelief (A false)
Bitcoin was the first-ever cryptocurrency, designed by Satoshi Nakamoto. In its likeness, all other cryptocurrencies were then created. The relationship between Bitcoin and altcoins remains something crypto analyst watch closely. This study aims to display the likelihood of bullish movement for ALTS-USDT pairs taking into consideration of bullish move probability of BTC-USDT pair
What to look for:
Percentage Value of the Conditional Probability and/or Simple Probability. When value is above %50 than bullish move is more probable, conversely when the value is below %50 bearish move is more likely
Limitations : Conditional Probability Line will be shown for daily time frame only, Simply Probability Line would be available for all time frames
Conditional Probability is calculated with the condition of BTC-USDT pair so using Conditional Probability is suggested with ALTS-USDT pairs.
Indicators aim to generate a potential signal/indication of an upcoming opportunity, but, the Indicators themselves do not guarantee the future movement of a given financial instrument, and are most useful when used in combination with other techniques.
Trading success is all about following your trading strategy and the indicators should fit within your trading strategy, and not to be traded upon solely
Disclaimer : The script is for informational and educational purposes only. Use of the script does not constitutes professional and/or financial advice. You alone the sole responsibility of evaluating the script output and risks associated with the use of the script. In exchange for using the script, you agree not to hold dgtrd TradingView user liable for any possible claim for damages arising from any decision you make based on use of the script
Optimal Weighted Moving AverageThe Optimal Weighted Moving Average was created by Thomas Hutchinson and Peter G. Zhang, Ph.D. (Stocks & Commodities V. 11:12 (500-505)) and it is very similar to a classic weighted moving average but it uses the correlation between the input and the optimal weighted moving average output to use as the weights. Buy when the line turns green and sell when it turns red.
Let me know if you would like to see me publish any other scripts or if you want something custom done!
Correlation MatrixIn financial terms, 'correlation' is the numerical measure of the relationship between two variables (in this case, the variables are Forex pairs).
The range of the correlation coefficient is between -1 and +1. A correlation of +1 indicates that two currency pairs will flow in the same direction.
A correlation of -1 indicates that two currency pairs will move in the opposite direction.
Here, I multiplied correlation coefficient by 100 so that it is easier to read. Range between 100 and -100.
Color Coding:-
The darker the color, the higher the correlation positively or negatively.
Extra Light Blue (up to +29) : Weak correlation. Positions on these symbols will tend to move independently.
Light Blue (up to +49) : There may be similarity between positions on these symbols.
Medium Blue (up to +75) : Medium positive correlation.
Navy Blue (up to +100) : Strong positive correlation.
Extra Light Red (up to -30) : Weak correlation. Positions on these symbols will tend to move independently
Light Red (up to -49) : There may be similarity between positions on these symbols.
Dark Red: (up to -75) : Medium negative correlation.
Maroon: (up to -100) : Strong negative correlation.
BTC Correlation CoefficientAn indicator that only calculates and displays the correlation coefficient with bitfinex:BTCUSD close.
By changing the settings, you can calculate any chart and correlation coefficient
0.7 to 1.0 There is a fairly strong positive correlation
0.4 to 0.7 Positive correlation
0.2 to 0.4 with a weak positive correlation
－0.2 ～ 0 ～ 0.2 Little correlation
-0.4 to -0.2 Weak negative correlation
-0.7 to -0.4 Negative correlation
-1 to -0.7 Significantly negative correlation
bitfinex:BTCUSDのcloseとの相関係数を計算して表示するだけのインジケーターです。
設定を変更すれば任意のチャートと相関係数の計算ができます
0.7 ～ 1.0 かなり強い正の相関がある
0.4 ～ 0.7 正の相関がある
0.2 ～ 0.4 弱い正の相関がある
－0.2 ～ 0 ～ 0.2 ほとんど相関がない
－0.4 ～ －0.2 弱い負の相関がある
－0.7 ～ －0.4 負の相関がある
－1 ～ －0.7 かなり強い負の相関がある
Dual Purpose Pine Based CorrelationThis is my "Pine-based" correlation() function written in raw Pine Script. Other names applied to it are "Pearson Correlation", "Pearson's r", and one I can never remember being "Pearson Product-Moment Correlation Coefficient(PPMCC)". There is two basic ways to utilize this script. One is checking correlation with another asset such as the S&P 500 (provided as a default). The second is using it as a handy independent indicator correlated to time using Pine's bar_index variable. Also, this is in fact two separate correlation indicators with independent period adjustments, so I guess you could say this indicator has a dual purpose split personality. My intention was to take standard old correlation and apply a novel approach to it, and see what happens. Either way you use it, I hope you may find it most helpful enough to add to your daily TV tool belt.
You will notice I used the Pine built-in correlation() in combination with my custom function, so it shows they are precisely equal, even when the first two correlation() parameters are reversed on purpose or by accident. Additionally, there's an interesting technique to provide a visually appealing line with two overlapping plot()s combined together. I'm sure many members may find that plotting tactic useful when a bird's nest of plotting is occurring on the overlay pane in some scenarios. One more thing about correlation is it's always confined to +/-1.0 irregardless of time intervals or the asset(s) it is applied to, making it a unique oscillator.
As always, I have included advanced Pine programming techniques that conform to proper "Pine Etiquette". For those of you who are newcomers to Pine Script, this code release may also help you comprehend the "Power of Pine" by employing advanced programming techniques in Pine exhibiting code utilization in a most effective manner. One of the many tricks I applied here was providing floating point number safeties for _correlation(). While it cannot effectively use a floating point number, it won't error out in the event this should occur especially when applying "dominant cycle periods" to it, IF you might attempt this.
NOTICE: You may have observed there is a sqrt() custom function and you may be thinking... "Did he just sick and twistedly overwrite the Pine built-in sqrt() function?" The answer is... YES, I am and yes I did! One thing I noticed, is that it does provide slightly higher accuracy precision decimal places compared to the Pine built-in sqrt(). Be forewarned, "MY" sqrt() is technically speaking slower than snail snot compared to the native Pine sqrt(), so I wouldn't advise actually using it religiously in other scripts as a daily habit. It is seemingly doing quite well in combination with these simple calculations without being "sluggish". Lastly, of course you may always just delete the custom sqrt() function, via Pine Editor, and then the script will still operate flawlessly, yet more efficiently.
Features List Includes:
Dark Background - Easily disabled in indicator Settings->Style for "Light" charts or with Pine commenting
AND much, much more... You have the source!
The comments section below is solely just for commenting and other remarks, ideas, compliments, etc... regarding only this indicator, not others. When available time provides itself, I will consider your inquiries, thoughts, and concepts presented below in the comments section, should you have any questions or comments regarding this indicator. When my indicators achieve more prevalent use by TV members, I may implement more ideas when they present themselves as worthy additions. As always, "Like" it if you simply just like it with a proper thumbs up, and also return to my scripts list occasionally for additional postings. Have a profitable future everyone!
Correlation Coefficient {Cybernetwork}Correlation Coefficient (CC): with CC momentum and acceleration oscillators, and momentum-divergence indicator.
Correlation Tool [QuantNomad]It's a pretty simple indicator that allows you to calculate the stock's correlation directly in TradingView.
You can use up to 5 symbols in this indicator. You can use any timeframe and limit date range for correlation calculation.
It's a pro indicator, you can have access to it for a small fee. Link to my PRO indicators you can find in my signature.
Will be happy to hear your feedback.
- How do you want to use this indicator?
- What other features do you want in it?
Hashem Correlation CoefficientCorrelation Coefficient
Core Code from: www.tradingview.com
This indicator Show Correlation between the Current Ticker & timeframe and a Customizable Ticker. After adding the indicator you can change the second ticker in the settings.
The Correlation Coeff is between -1 to 1 which 1 means 100% correlation and -1 means -100% correlation ( Inverse Correlation ).
The color of the area changes when:
Blue : CC > 0.5
Aqua : CC > 0.75
Purple : CC < -0.5
Red : CC < -0.75
Function : Multiple Correlation
This script was written to calculate the correlation coefficient (Adjusted R-Squared) for one dependent and two independent variables.(3-way)
Pearson correlation method was used with exponential moving averages as the correlation calculation method.
Use your source ( i use "close" generally ) as the dependent variable.
Inspired by this article : www.real-statistics.com
The Adjusted R-Squared coefficient is used as output, but the R-Squared coefficient is also available in the code.
Adjusted R-Squared is often used for multiple correlations.
It also gives better results in large samples.
Here is the article about the difference of the two coefficients : www.investopedia.com
I wrote this function to increase the efficiency of my Dow Factor I used before.
When my research is over, I will apply the 3-factor correlation to my scripts.
I hope that I will achieve more efficient indicators and oscillators and even strategies.
In this command, I gave a few variable values and plotted them as an example.
I hope this function is useful in your work.
Finally, you can use periods as mutable variables.
The function is recovered from integer loads.
Best regards. Noldo
Kaufman Adaptive Correlation OscillatorIntroduction
The correlation oscillator is a technical indicator that measure the linear relationship between the market closing price and a simple increasing line, the indicator is in a (-1,1) range and rise when price is up-trending and fall when price is down-trending. Another characteristic of the indicator is its inherent smoothing which provide a noise free (to some extent) oscillator.
Such indicator use simple moving averages as well as estimates of the standard deviation for its calculation, but we can easily make it adaptive, this is why i propose this new technical indicator that create an adaptive correlation oscillator based on the Kaufman adaptive moving average.
The Indicator
The length parameter control the period window of the moving average, larger periods return smoother results while having a low kurtosis, which mean that values will remain around 1 or -1 a longer period of time. Pre-filtering apply a Kaufman adaptive moving average to the input, which allow for a smoother output.
No pre-filtering in orange, pre-filtering in yellow, period = 100 for both oscillators.
If you are not aware of the Kaufman adaptive moving average, such moving average return more reactive results when price is trending and smoother results when price is ranging, this also apply for the proposed indicator.
Conclusion
Classical correlation coefficients could use this approach, therefore the linear relationships between any variables could be measured. The fact that the indicator is adaptive add a certain potential, however such combination make the indicator have the drawback of kama + the correlation oscillator, which might appear at certain points.
Thanks for reading !
Correlation MATRIX (Flexible version)Hey folks
A quick unrelated but interesting foreword
Hope you're all good and well and tanned
Me? I'm preparing the opening of my website where we're going to offer the Algorithm Builder Single Trend, Multiple Trends, Multi-Timeframe and plenty of others across many platforms (TradingView, FXCM, MT4, PRT). While others are at the beach and tanning (Yes I'm jealous, so what !?!), we're working our a** off to deliver an amazing looking website and great indicators and strategies for you guys.
Today I worked in including the Trade Manager Pro version and the Risk/Reward Pro version into all our Algorithm Builders. Here's a teaser
We're going to have a few indicators/strategies packages and subscriptions will open very soon.
The website should open in a few weeks and we still have loads to do ... (#no #summer #holidays #for #dave)
I see every message asking me to allow access to my Algorithm Builders but with the website opening shortly, it will be better for me to manage the trials from there - otherwise, it's duplicated and I can't follow all those requests
As you can probably all understand, it becomes very challenging to publish once a day with all that workload so I'll probably slow down (just a bit) and maybe posting once every 2/3 days until the website will be over (please forgive me for failing you). But once it will open, the daily publishing will resume again :) (here's when you're supposed to be clapping guys....)
While I'm so honored by all the likes, private messages and comments encouraging me, you have to realize that a script always takes me about 2/3 hours of work (with research, coding, debugging) but I'm doing it because I like it. Only pushing the brake a bit because of other constraints
INDICATOR OF THE DAY
I made a more flexible version of my Correlation Matrix .
You can now select the symbols you want and the matrix will update automatically !!! Let me repeat it once more because this is very cool... You can now select the symbols you want and the matrix will update automatically :)
Actually, I have nothing more to say about it... that's all :) Ah yes, I added a condition to detect negative correlation and they're being flagged with a black dot
Definition : Negative correlation or inverse correlation is a relationship between two variables whereby they move in opposite directions.
A negative correlation is a key concept in portfolio construction, as it enables the creation of diversified portfolios that can better withstand portfolio volatility and smooth out returns.
Correlation between two variables can vary widely over time. Stocks and bonds generally have a negative correlation, but in the decade to 2018, their correlation has ranged from -0.8 to 0.2. (Source : www.investopedia.com
See you maybe tomorrow or in a few days for another script/idea.
Be sure to hit the thumbs up to cheer me up as your likes will be the only sunlight I'll get for the next weeks.... because working on building a great offer for you guys.
Dave
____________________________________________________________
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
Correlation Matrix by DaveattHi everyone
A co-pinescripter friend told me this was impossible to do and we bet a free dinner tomorrow. Guess who's going to be invited to a very fancy restaurant tomorrow :) :) :) (hint: not him)
What's the today script is about?
This script is based on this MT4 correlation matrix
Asset correlation is a measure of how investments move in relation to one another and when. ... Under what is known as modern portfolio theory, you can reduce the overall risk in an investment portfolio and even boost your overall returns by investing in asset combinations that are not correlated.
I did it because it wasn't existing before with this format. What I discovered was only correlations shown as plot lines... #this #is #not #pretty
How does it work?
The correlation matrix will not be based on the current asset of the chart BUT will be based on the current timeframe (confusing? if yes, read it again until you'll get it)
- Numbers of bars back: numbers of bars used for the correlation calculation
- High correlation level: Correlation upper threshold. If above, then the correlation will be green
- Low correlation level: Correlation lower threshold. If below, then the correlation will be red
If the correlation is between the high and low levels, then it will be displayed in orange
- FOREX/INDEX: You can choose between displaying the correlation matrix between 3 FOREX or 3 INDEX assets
Also...
So far the scale doesn't respond too well to the matrix so you'll have to adapt the scale manually. I'll publish a V2 if I'll find a way to solve this issue from the code directly #new #challenge
A quick final note on why I'm sharing so much?
It challenges me to think out of the norm, get out of my bubble and explore areas of Pinescript that I still don't know. This "a script a day" challenge allows me to speed up my learning curve on Pinescript by a billion factor (and I get a few interesting gigs as well)
Let's bring this indicator to 100 LIKES guys !!!!! I think it deserves it, don't you think? :)
PS
Before all copy/pasters will add a version with crypto tomorrow, don't bother, I already did it and will post it in a few minutes for FREE :p
____________________________________________________________
Be sure to hit the thumbs up as it shows me that I'm not doing this for nothing and will motivate to deliver more quality content in the future.
- I'm an officially approved PineEditor/LUA/MT4 approved mentor on codementor. You can request a coaching with me if you want and I'll teach you how to build kick-ass indicators and strategies
Jump on a 1 to 1 coaching with me
- You can also hire for a custom dev of your indicator/strategy/bot/chrome extension/python
CorrelationCorrelation of two stocks based on the percentile difference. Option to choose 4 different periods.
Multi-Asset Correlation CoeffThis is just a modified correlation coefficient indicator that shows the correlation coefficient between five different assets and the one on the chart.
Light LSMAEstimating the LSMA Without Classics Parameters
I already mentioned various methods in order to estimate the LSMA in the idea i published. The parameter who still appeared on both the previous estimation and the classic LSMA was the sample correlation coefficient. This indicator will use an estimate of the correlation coefficient using the standard score thus providing a totally different approach in the estimation of the LSMA. My motivation for such indicator was to provide a different way to estimate a LSMA.
Standardization
The standard score is a statistical tool used to measure at how many standard deviations o a data point is bellow or above its mean. It can also be used to rescale variables, this conversion process is called standardizing or normalizing and it will be the basis of our estimation.
Calculation : (x - x̄)/o where x̄ is the moving average of x and o the standard deviation.
Estimating the Correlation Coefficient
We will use standardization to estimate the correlation coefficient r . 1 > r > -1 so in (y - x̄)/o we want to find y such that y is always above or below 1 standard deviation of x̄ , i had for first idea to pass the price through a band-stop filter but i found it was better to just use a moving average of period/2 .
Estimating the LSMA
We finally rescale a line through the price like mentioned in my previous idea, for that we standardize a line and we multiply the result by our correlation estimation, next we multiply the previous calculation by the price standard deviation, then we sum this calculation to the price moving average.
Comparison of our estimate in white with a LSMA in red with both period 50 :
Working With Different Independents Variables
Here the independent variable is a line n (which represent the number of data point and thus create a straight line) but a classic LSMA can work with other independent variables, for exemple if a LSMA use the volume as independent variable we need to change our correlation estimate with (ȳ - x̄)/ô where ȳ is the moving average of period length/2 of y, y is equal to : change(close,length)*change(volume,length) , x̄ is the moving average of y of period length , and ô is the standard deviation of y. This is quite rudimentary and if our goal is to provide a easier way to calculate correlation then the product-moment correlation coefficient would be more adapted (but less reactive than the sample correlation) .
Conclusion
I showed a way to estimate the correlation coefficient, of course some tweaking could provide a better estimate but i find the result still quite close to the LSMA.
Forex Pairs CorrelatorHi everyone!
This tool helps to identify the best positive and negative correlated pairs from 38 well-known Forex pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use current ticker (default: true )
Custom ticker (default: EURUSD )
Choose as many pairs as you want from 38 available pairs.
Available pairs
USDCAD
USDMXN
USDBRL
USDCHF
USDRUB
USDTRY
USDZAR
USDJPY
USDCNY
CADCHF
CADJPY
CHFJPY
EURUSD
EURCAD
EURGBP
EURCHF
EURRUB
EURTRY
EURJPY
EURCNY
EURAUD
EURNZD
GBPUSD
GBPCAD
GBPCHF
GBPRUB
GBPJPY
GBPCNY
GBPAUD
GBPNZD
AUDUSD
AUDCAD
AUDCHF
AUDJPY
AUDCNY
AUDNZD
NZDUSD
NZDJPY
How to get access
You can buy this tool for 49$ to get lifetime access
Cheers!
Crypto USD Pairs CorrelatorHey there!
This tool helps to identify the best positive and negative correlated pairs from 38 crypto */USD pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use current ticker (default: true )
Custom ticker (default: BTCUSD )
Choose as many pairs as you want from 38 available pairs.
Available pairs
ADAUSD
BATUSD
BCDUSD
BCHUSD
BCNUSD
BNBUSD
BTCUSD
BTGUSD
BTSUSD
DASHUSD
DCRUSD
DGBUSD
DOGEUSD
EOSUSD
ETCUSD
ETHUSD
ICXUSD
IOTAUSD
LSKUSD
LTCUSD
MKRUSD
NANOUSD
NEOUSD
OMGUSD
ONTUSD
PAXUSD
QTMUSD
TRXUSD
VETUSD
WAVESUSD
XEMUSD
XLMUSD
XMRUSD
XRPUSD
XTZUSD
ZECUSD
ZILUSD
ZRXUSD
How to get access
You can buy this tool for 49$ to get lifetime access
Good luck!
ETH Pairs CorrelatorHey there!
This tool helps to identify the best positive and negative correlated pairs from 38 */ETH cryptocurrency pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use current ticker (default: true )
Custom ticker (default: BTCUSDT )
Choose as many pairs as you want from 38 available pairs.
Available pairs
ADAETH
BATETH
BCDETH
BCHETH
BNBETH
BSVETH
BTGETH
DASHETH
DGBETH
EOSETH
ETCETH
HOTETH
ICXETH
IOTAETH
LSKETH
LTCETH
MKRETH
NANOETH
NEOETH
NPXSETH
OMGETH
ONTETH
QKCETH
QTMETH
REPETH
TRXETH
TUSDETH
VETETH
WAVESETH
XEMETH
XLMETH
XMRETH
XRPETH
XTZETH
XVGETH
ZECETH
ZILETH
ZRXETH
How to get access
You can buy this tool for 49$ to get lifetime access
Good luck!
BTC Pairs CorrelatorHey there!
This tool helps to identify the best positive and negative correlated pairs from 38 */BTC cryptocurrency pairs.
By default it will find the best correlations for your current ticker.
If you are a newbie in Correlation Analysis you can find a brief explanation here .
Settings
Lookback for correlations (default: 14 )
Option to use or not to use current ticker (default: true )
You can switch to a custom ticker (default: BTCUSDT )
Choose as many pairs as you want from 38 available pairs.
Available pairs
ADABTC
BATBTC
BCDBTC
BCHBTC
BCNBTC
BNBBTC
BSVBTC
BTGBTC
DASHBTC
DCRBTC
DGBBTC
DOGEBTC
EOSBTC
ETCBTC
ETHBTC
LSKBTC
LTCBTC
IOTABTC
MKRBTC
NANOBTC
NEOBTC
OMGBTC
ONTBTC
PAXBTC
QTMBTC
TRXBTC
TUSDBTC
USDCBTC
VETBTC
WAVESBTC
XEMBTC
XLMBTC
XMRBTC
XRPBTC
XTZBTC
ZECBTC
ZILBTC
ZRXBTC
How to get access
You can buy this tool for 49$ to get lifetime access
Good luck!
