Correlation Between Stacks and Bitcoin SV

Can any of the company-specific risk be diversified away by investing in both Stacks and Bitcoin SV 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 Stacks and Bitcoin SV into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Stacks and Bitcoin SV, you can compare the effects of market volatilities on Stacks and Bitcoin SV 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 Stacks with a short position of Bitcoin SV. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stacks and Bitcoin SV.

Diversification Opportunities for Stacks and Bitcoin SV

0.97

Correlation Coefficient

Stacks  Bitcoin SV

Almost no diversification

The 3 months correlation between Stacks and Bitcoin is 0.97. Overlapping area represents the amount of risk that can be diversified away by holding Stacks and Bitcoin SV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bitcoin SV and Stacks 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 Stacks are associated (or correlated) with Bitcoin SV. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bitcoin SV has no effect on the direction of Stacks i.e., Stacks and Bitcoin SV go up and down completely randomly.

Pair Corralation between Stacks and Bitcoin SV

Assuming the 90 days trading horizon Stacks is expected to under-perform the Bitcoin SV. In addition to that, Stacks is 1.12 times more volatile than Bitcoin SV. It trades about -0.2 of its total potential returns per unit of risk. Bitcoin SV is currently generating about -0.11 per unit of volatility. If you would invest  5,034  in Bitcoin SV on December 30, 2024 and sell it today you would lose (1,896) from holding Bitcoin SV or give up 37.66% of portfolio value over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	100.0%
Values	Daily Returns

Stacks  vs.  Bitcoin SV

Stacks

Risk-Adjusted Performance

Very Weak

Over the last 90 days Stacks has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Stacks shareholders.

Bitcoin SV

Risk-Adjusted Performance

Very Weak

Over the last 90 days Bitcoin SV has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of unsteady performance in the last few months, the Crypto's basic indicators remain rather sound which may send shares a bit higher in April 2025. The latest tumult may also be a sign of longer-term up-swing for Bitcoin SV shareholders.

Pair Trading with Stacks and Bitcoin SV

The main advantage of trading using opposite Stacks and Bitcoin SV positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stacks position performs unexpectedly, Bitcoin SV 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 Bitcoin SV will offset losses from the drop in Bitcoin SV's long position.

The idea behind Stacks and Bitcoin SV 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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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 the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.