Correlation Between Datadog and Fortinet

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

Diversification Opportunities for Datadog and Fortinet

0.15
  Correlation Coefficient

Average diversification

The 3 months correlation between Datadog and Fortinet is 0.15. Overlapping area represents the amount of risk that can be diversified away by holding Datadog and Fortinet in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fortinet and Datadog 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 Datadog are associated (or correlated) with Fortinet. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fortinet has no effect on the direction of Datadog i.e., Datadog and Fortinet go up and down completely randomly.

Pair Corralation between Datadog and Fortinet

Given the investment horizon of 90 days Datadog is expected to under-perform the Fortinet. In addition to that, Datadog is 2.16 times more volatile than Fortinet. It trades about -0.07 of its total potential returns per unit of risk. Fortinet is currently generating about -0.08 per unit of volatility. If you would invest  8,619  in Fortinet on October 9, 2025 and sell it today you would lose (775.00) from holding Fortinet or give up 8.99% of portfolio value over 90 days.
Time Period3 Months [change]
DirectionMoves Together 
StrengthInsignificant
Accuracy100.0%
ValuesDaily Returns

Datadog  vs.  Fortinet

 Performance 
       Timeline  
Datadog 

Risk-Adjusted Performance

Weakest

 
Weak
 
Strong
Over the last 90 days Datadog has generated negative risk-adjusted returns adding no value to investors with long positions. Despite weak performance in the last few months, the Stock's basic indicators remain nearly stable which may send shares a bit higher in February 2026. The current disturbance may also be a sign of long-run up-swing for the company stockholders.
Fortinet 

Risk-Adjusted Performance

Weakest

 
Weak
 
Strong
Over the last 90 days Fortinet has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of latest abnormal performance, the Stock's basic indicators remain stable and the newest uproar on Wall Street may also be a sign of mid-term gains for the firm private investors.

Datadog and Fortinet Volatility Contrast

   Predicted Return Density   
       Returns  

Pair Trading with Datadog and Fortinet

The main advantage of trading using opposite Datadog and Fortinet positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Datadog position performs unexpectedly, Fortinet 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 Fortinet will offset losses from the drop in Fortinet's long position.
The idea behind Datadog and Fortinet 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 Idea Breakdown module to analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes.

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