Coefficient of Variation - EMA and SMA StDevYet another way to try and measure volatility. An alternative to using ATR is Standard Deviation, it can be used to measure volatility or what is also known as risk. SD measures how dispersed or far away the data is from the mean. It's commonly seen in risk management formulas or portfolio diversification formulas. The problem however is that the numbers that ATR and SD give off from one equity might not be relative to others or its own past. For example, SPY can give a large number despite not being as volatile as other equities while others being compared to can have smaller volatility numbers and still be more volatile looking.
A solution I thought of is to use percentages that are relatable to different equities. I found out another name for this idea comes from statistics and is known as coefficient of variation, also known as relative standard deviation. This helps see the volatility as a percentage and not just a number that only relates to what is being seen at the moment. I put in a border line on the zero level to see where zero is at but also to edit in case there is such a thing as a percentage number that can be too high or too low for volatility to be looked at if needed. The average and standard deviation formulas can use either simple moving average or exponential moving average.
Diversify
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!
