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On September 15, 2025, , , . The chipmaker’s performance reflected mixed investor sentiment amid sector-wide volatility, with analysts noting limited catalysts to drive sustained momentum in the near term.
Recent developments highlighted supply chain adjustments within the automotive semiconductor segment, where
holds a significant market share. Industry observers pointed to ongoing production bottlenecks at key foundries, which could delay the delivery of critical components for next-generation automotive systems. However, , particularly in markets with accelerating EV adoption.Strategic partnerships remain a focal point for the company. . While this partnership is viewed as a long-term growth driver, .
To run this study rigorously I need to pin down a few practical details: 1. Universe • Which market(s) should be considered when ranking by daily volume (e.g., all U-listed common stocks, only S&P 500 constituents, a specific exchange such as NYSE + NASDAQ,
.)? 2. Portfolio construction • Equal-weight across the 500 names, or volume-/capitalisation-weighted? • Buy at today’s close and sell at tomorrow’s close (the most common “1-day hold”) – is that acceptable? 3. Evaluation metric • Do you want the cumulative portfolio return, or statistics such as annualised return, volatility, Sharpe, max drawdown, etc.? 4. Practical constraints • Our current back-testing engine is designed for single-ticker or event-driven studies. Constructing a daily-rebalanced 500-stock portfolio requires a multi-asset engine that isn’t directly exposed here. • If you’re flexible, I can approximate the concept (for example, use an ETF proxy such as the S&P 500 equal-weight index, or run an event study per stock), but that will differ from the precise “top-500-by-volume” rule. Please let me know your preferences on the above points, and I’ll proceed with the best feasible method.
Hunt down the stocks with explosive trading volume.

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