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On September 26, 2025,
(HUBS) traded with a 2.19% gain, closing at a volume of $0.24 billion, ranking 439th in market activity for the day. The stock’s performance was influenced by strategic updates in its SaaS platform, which highlighted enhanced AI-driven analytics tools for customer engagement. Analysts noted the move aligns with broader industry trends toward automation, though market participants remain cautious about valuation metrics.Recent developments focused on HubSpot’s Q3 roadmap, which includes expanded integration with third-party marketing tools. The company emphasized improved user retention features, potentially boosting long-term revenue visibility. However, no direct references to earnings or guidance were included in the disclosed updates, limiting immediate catalysts for further momentum.
To run this back-test robustly, I need a bit more detail so I can set up the data pull and calculations correctly: 1. Universe • Which market universe should we scan each day for the “top-500 by volume”? • e.g. all U.S. listed common stocks (NYSE + NASDAQ + NYSE Arca), or a narrower universe such as the current S&P 500 constituents? 2. Entry price • Do we assume we buy the 500 names at that day’s close and exit at the next day’s close (close-to-close), or buy at the next day’s open and exit at that day’s close (open-to-close)? 3. Weighting method • Equal-weight (each stock 0.2 % of the portfolio) or volume-weighted / market-cap-weighted? 4. Transaction costs • Should we include any estimates for commissions or slippage, or ignore costs? Once I have this information I can generate the retrieval plan, pull the required data and run the back-test.

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