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. 15, , ranking ninth in overall market activity. The stock’s performance reflects broader market dynamics and earnings-driven momentum following a mixed Q2 report that highlighted strong Prime membership growth but weaker-than-expected retail sales. Analysts noted the stock’s resilience amid sector-wide volatility, with short-term traders capitalizing on a narrowing yield curve and reduced bond yield pressure.
Key factors influencing the stock included renewed investor confidence in e-commerce recovery signals, . While the company acknowledged supply chain bottlenecks, . Market participants also observed a shift in sentiment following the release of revised guidance, which balanced caution with strategic cost-cutting measures.
To run this back-test accurately I need a few clarifications: 1. Market universe • Do you want to rank every U.S. common stock each day, or limit the search to a defined group (e.g., current S&P 500 constituents, Nasdaq-100, Russell 3000,
.)? 2. Weighting method • Should each of the 500 selected stocks receive an equal portfolio weight (i.e., , or do you prefer value-weighted or some other scheme? 3. , ? Once I have these details, I can build the data-retrieval plan, generate daily signals, .
Hunt down the stocks with explosive trading volume.

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