Datadog Surges on $1.11 Billion Volume Spike Ranks 156th in U.S. Trading Activity

On September 19, 2025, , . . markets, reflecting renewed investor interest in the cloud monitoring platform.

Recent developments highlight Datadog’s strategic positioning in the AI infrastructure sector. The company announced a partnership with a major cloud provider to enhance its for generative AI workloads. This collaboration is expected to strengthen its competitive edge against rivals like Splunk and Datadog’s recent product roadmap update emphasized AI-driven features, aligning with growing enterprise demand for real-time data analysis.

Analysts noted that Datadog’s performance coincided with broader market optimism toward AI-driven SaaS stocks. While the company faces ongoing pressure from valuation multiples, its client retention rates and expanding use cases in hybrid cloud environments have drawn renewed institutional attention. The surge in trading volume suggests increased position-taking ahead of its next quarterly earnings release.

To make sure I structure the back-test correctly, could you clarify two points: (1) Which market universe should we draw the “top 500 stocks by daily trading volume” from (e.g., all U.S. listed equities, a specific exchange such as NYSE + NASDAQ, another region, etc.)? (2) Do you want the strategy’s performance measured at the whole-portfolio level (i.e., a daily-rebalanced basket of up to 500 stocks) or are you looking for single-ticker tests (which our current engine handles natively) and will interpret the results another way? Once I have this information, I’ll proceed with the automated data pull and back-test.