Snowflake Rises 1.90% on Cloud Expansion, Ranks 141st in $770M Volume Day

Snowflake (SNOW) closed on September 18, 2025, , , ranking 141st in market activity that day. The stock's performance followed a series of developments highlighting its cloud data platform expansion and enterprise client retention. Recent updates emphasized enhanced integration with AI analytics tools, positioning the company to capitalize on growing demand for scalable data infrastructure.

Analysts noted that Snowflake's recent earnings report underscored robust revenue growth from its core business, driven by long-term contracts with Fortune 500 clients. The firm also announced a strategic partnership to optimize data processing speeds, a move expected to strengthen its competitive edge against rivals in the cloud computing sector. These factors, combined with positive guidance on future capital expenditures, contributed to investor confidence.

Technical indicators showed sustained buying pressure, . Short-term momentum indicators suggest continued support for the upward trajectory, though market participants remain cautious about macroeconomic risks. The company's recent stock repurchase program, approved in July, was cited as a potential catalyst for near-term price stability.

I can certainly help design and evaluate a trading-volume-based strategy, but to run an automated back-test with the tools currently available I need a bit more detail (and possibly some simplification): 1. Universe of stocks • Do you want to restrict the universe (e.g., only S&P 500 constituents, only U.S. listed stocks, only stocks above a certain market-cap), or literally “all” tradable U.S. equities? • Our back-testing engine can work ticker-by-ticker; running a daily re-balanced 500-stock portfolio requires aggregating many individual results. If you’d like, we can start with a manageable subset (e.g., S&P 500) so we can produce a quick proof-of-concept and evaluate the signal quality before scaling up. 2. Portfolio construction details • Equal-weight each day? • Slippage/transaction-cost assumptions? • Rebalancing at the close (same day) or at the next open? 3. Output you care about • Cumulative return, annualized return, max drawdown? • Any risk controls (stop-loss, etc.)? If you confirm (or narrow) these items, I’ll generate the precise data-retrieval plan and run the back-test.