CyberArk Surges 38.9% Year-to-Date as Cybersecurity Demand Booms, Hits $310M in Trading Volume (Rank 355)

Generated by AI AgentAinvest Volume Radar
Friday, Sep 5, 2025 7:21 pm ET1min read
Aime RobotAime Summary

- CyberArk (CYBR) surged 38.9% year-to-date, hitting $310M trading volume on 9/5/2025.

- Named GigaOm Radar Leader for password management and earned Dubai/Australia security certifications.

- Partnership with Optiv expands identity solutions, aligning with rising demand for enterprise cybersecurity.

On September 5, 2025, , ranking 355th in market activity. , reflecting sustained investor interest in cybersecurity solutions.

CyberArk was named a Leader in GigaOm Radar for Enterprise Password Management, underscoring its innovation in privileged identity management. The company also secured CSP certification from Dubai’s Electronic Security Center and completed an IRAP assessment in Australia, reinforcing its global security credentials. These recognitions highlight its expanding footprint in cloud and critical infrastructure sectors.

A collaboration with to deploy rapid global identity solutions further positions

as a strategic partner for enterprise-scale security transformations. have emphasized the company’s platform capabilities and vision, aligning with growing demand for identity-centric cybersecurity frameworks in an evolving threat landscape.

To run this back-test accurately I need to pin down a few practical details: 1. Universe • Should we use all U.S. listed common stocks, or a specific subset (e.g., only S&P 500 constituents)? 2. Trading convention • Do we “buy” at today’s close and “sell” at tomorrow’s close (typical one-day holding period), or use open-to-next-open, or another price convention? 3. Rebalancing / transaction costs • Will we rebalance every trading day with no transaction costs, or do you want to include an assumed commission/slippage? 4. Benchmark (optional) • Would you like the strategy compared against a benchmark such as SPY? Once I have these points clarified, I can pull the volume data, generate the daily top-500 lists, create the trade signals, and run the back-test from 2022-01-01 to today.

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