Correlation Between Stratis and Algorand

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Can any of the company-specific risk be diversified away by investing in both Stratis and Algorand at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Stratis and Algorand into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stratis and Algorand, you can compare the effects of market volatilities on Stratis and Algorand and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Stratis with a short position of Algorand. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stratis and Algorand.

Diversification Opportunities for Stratis and Algorand

0.51
  Correlation Coefficient

Very weak diversification

The 3 months correlation between Stratis and Algorand is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Stratis and Algorand in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Algorand and Stratis is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Stratis are associated (or correlated) with Algorand. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Algorand has no effect on the direction of Stratis i.e., Stratis and Algorand go up and down completely randomly.

Pair Corralation between Stratis and Algorand

Assuming the 90 days trading horizon Stratis is expected to generate 0.75 times more return on investment than Algorand. However, Stratis is 1.33 times less risky than Algorand. It trades about 0.0 of its potential returns per unit of risk. Algorand is currently generating about -0.16 per unit of risk. If you would invest  50.00  in Stratis on September 8, 2022 and sell it today you would lose (2.00)  from holding Stratis or give up 4.0% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthWeak
Accuracy100.0%
ValuesDaily Returns

Stratis  vs.  Algorand

 Performance (%) 
       Timeline  
Stratis 
Stratis Performance
0 of 100
Over the last 90 days Stratis has generated negative risk-adjusted returns adding no value to investors with long positions. Despite latest weak performance, the Crypto's basic indicators remain strong and the current disturbance on Wall Street may also be a sign of long term gains for Stratis investors.

Stratis Price Channel

Algorand 
Algorand Performance
0 of 100
Over the last 90 days Algorand has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Crypto's technical and fundamental indicators remain somewhat strong which may send shares a bit higher in January 2023. The current disturbance may also be a sign of long term up-swing for Algorand investors.

Algorand Price Channel

Stratis and Algorand Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Stratis and Algorand

The main advantage of trading using opposite Stratis and Algorand positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stratis position performs unexpectedly, Algorand can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Algorand will offset losses from the drop in Algorand's long position.
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The idea behind Stratis and Algorand pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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Algorand vs. Cardano
Algorand vs. Polygon
Check out your portfolio center. Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

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