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Zscaler (ZS) recorded a trading volume of $0.47 billion on October 10, 2025, marking a 44.84% increase from the previous day and ranking 273rd in overall market activity. The cybersecurity stock closed 1.69% lower, reflecting heightened volatility amid mixed sectoral performance.
Recent developments highlight regulatory scrutiny as a key factor influencing investor sentiment. A U.S. Senate committee advanced a bipartisan bill proposing stricter oversight of cloud security infrastructure providers, a category in which
operates. While the legislation includes provisions for compliance flexibility, analysts note potential long-term operational costs for firms requiring enhanced audit frameworks. The move aligns with broader industry trends toward data governance tightening following recent high-profile breaches.Market participants remain focused on Zscaler’s upcoming earnings report, with Wall Street estimates projecting mixed results. Short-term pressure could persist if revenue growth decelerates below 2024 levels, though institutional buying activity observed in the past three sessions suggests underlying confidence in the stock’s strategic positioning within the hybrid cloud security niche.
To run this back-test accurately I need to pin down a few implementation details and make sure they align with the data and tooling we can access: 1. Market universe • Which market(s) should we draw the “top-500-by-volume” list from (e.g., all U.S. common stocks on NYSE + NASDAQ + AMEX, or a different universe)? 2. Weighting scheme • Equal-weighted (each of the 500 stocks gets 0.2 % weight) • Volume-proportional or another scheme? 3. Execution price • Buy at the same day’s close and sell at the next day’s close (close-to-close)? • Or open-to-close / close-to-open? 4. Treatment of corporate actions and survivorship bias • OK to assume we use split- and dividend-adjusted prices and the then-current constituent list each day? 5. Frictional costs • Ignore trading costs and slippage, or apply a standard commission + spread assumption? 6. Benchmark (optional) • Would you like the strategy compared against a benchmark index (e.g., S&P 500 total return)? Once these are clarified I can lay out the data-retrieval plan and start the automated back-test.

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