Correlation Between Pi Network and BTM

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

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

Diversification Opportunities for Pi Network and BTM

-0.74

Correlation Coefficient

Pi Network  BTM

Pay attention - limited upside

The 3 months correlation between Pi Network and BTM is -0.74. Overlapping area represents the amount of risk that can be diversified away by holding Pi Network and BTM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BTM and Pi Network 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 Pi Network are associated (or correlated) with BTM. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BTM has no effect on the direction of Pi Network i.e., Pi Network and BTM go up and down completely randomly.

Pair Corralation between Pi Network and BTM

Assuming the 90 days horizon Pi Network is expected to under-perform the BTM. But the crypto coin apears to be less risky and, when comparing its historical volatility, Pi Network is 1.71 times less risky than BTM. The crypto coin trades about -0.01 of its potential returns per unit of risk. The BTM is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest  0.32  in BTM on April 24, 2025 and sell it today you would earn a total of  0.19  from holding BTM or generate 60.67% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Weak
Accuracy	100.0%
Values	Daily Returns

Pi Network  vs.  BTM

Pi Network

Risk-Adjusted Performance

Very Weak

Over the last 90 days Pi Network has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest unsteady performance, the Crypto's fundamental indicators remain sound and the latest tumult on Wall Street may also be a sign of longer-term gains for Pi Network shareholders.

BTM

Risk-Adjusted Performance

OK

Compared to the overall equity markets, risk-adjusted returns on investments in BTM are ranked lower than 7 (%) of all global equities and portfolios over the last 90 days. In spite of rather unsteady primary indicators, BTM exhibited solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Pi Network and BTM

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

The idea behind Pi Network and BTM 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.