Correlation Between Oracle and SentinelOne

Specify exactly 2 symbols:
Can any of the company-specific risk be diversified away by investing in both Oracle and SentinelOne 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 Oracle and SentinelOne into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oracle and SentinelOne, you can compare the effects of market volatilities on Oracle and SentinelOne 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 Oracle with a short position of SentinelOne. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oracle and SentinelOne.

Diversification Opportunities for Oracle and SentinelOne

-0.19
  Correlation Coefficient

Good diversification

The 3 months correlation between Oracle and SentinelOne is -0.19. Overlapping area represents the amount of risk that can be diversified away by holding Oracle and SentinelOne in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SentinelOne and Oracle 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 Oracle are associated (or correlated) with SentinelOne. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SentinelOne has no effect on the direction of Oracle i.e., Oracle and SentinelOne go up and down completely randomly.

Pair Corralation between Oracle and SentinelOne

Given the investment horizon of 90 days Oracle is expected to generate 1.11 times more return on investment than SentinelOne. However, Oracle is 1.11 times more volatile than SentinelOne. It trades about 0.4 of its potential returns per unit of risk. SentinelOne is currently generating about 0.04 per unit of risk. If you would invest  13,112  in Oracle on April 23, 2025 and sell it today you would earn a total of  11,242  from holding Oracle or generate 85.74% return on investment over 90 days.
Time Period3 Months [change]
DirectionMoves Against 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Oracle  vs.  SentinelOne

 Performance 
       Timeline  
Oracle 

Risk-Adjusted Performance

Very Strong

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in Oracle are ranked lower than 31 (%) of all global equities and portfolios over the last 90 days. Despite quite unsteady fundamental indicators, Oracle disclosed solid returns over the last few months and may actually be approaching a breakup point.
SentinelOne 

Risk-Adjusted Performance

OK

 
Weak
 
Strong
Compared to the overall equity markets, risk-adjusted returns on investments in SentinelOne are ranked lower than 3 (%) of all global equities and portfolios over the last 90 days. In spite of comparatively stable basic indicators, SentinelOne is not utilizing all of its potentials. The latest stock price uproar, may contribute to short-horizon losses for the private investors.

Oracle and SentinelOne Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Oracle and SentinelOne

The main advantage of trading using opposite Oracle and SentinelOne positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oracle position performs unexpectedly, SentinelOne 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 SentinelOne will offset losses from the drop in SentinelOne's long position.
The idea behind Oracle and SentinelOne 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.
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 the Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.

Other Complementary Tools

Fundamental Analysis
View fundamental data based on most recent published financial statements
Portfolio Volatility
Check portfolio volatility and analyze historical return density to properly model market risk
Correlation Analysis
Reduce portfolio risk simply by holding instruments which are not perfectly correlated
Positions Ratings
Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance
Piotroski F Score
Get Piotroski F Score based on the binary analysis strategy of nine different fundamentals