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MongoDB (MDB) closed at 0.22% higher on October 6, 2025, with a trading volume of $480 million, ranking 245th among U.S. equities by volume. The stock’s performance followed a strategic update highlighting expanded enterprise cloud integration capabilities, though mixed analyst commentary on market saturation potential tempered immediate momentum.
Recent developments included the launch of
Atlas Vector Search 2.0, which enhances AI-driven data indexing for enterprise clients. However, third-party evaluations noted limited differentiation from competitors’ offerings, sparking debates on pricing sustainability in the database-as-a-service sector. Product roadmap details emphasized hybrid deployment flexibility, aligning with enterprise demand for multi-cloud strategies.To set up this back-test precisely I need a few additional details: 1. Universe • Which market should the daily-volume ranking cover? 2. Execution price and timing • Do we buy at today’s close and sell at tomorrow’s close, or use next-day open prices? 3. Transaction costs (if any) • Should we include an explicit commission or slippage assumption? Once these points are clarified I can construct the data-retrieval plan, generate the daily trading signals for the “top-500-by-volume” basket, and run the back-test over 2022-01-01 to today.

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