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. 30, , . equity market. The chipmaker’s performance was driven by a strategic focus on AI infrastructure and enterprise software integration, as its recent product roadmap emphasized high-margin solutions for data center expansion and cloud computing demand.
Analysts highlighted Broadcom’s ability to maintain pricing power in its core semiconductor segments, supported by long-term contracts with hyperscale clients. The company’s pending acquisition of a key cybersecurity firm, expected to close in early 2025, further solidified investor confidence in its ability to diversify revenue streams and counter potential supply chain risks.
Market participants noted limited near-term macroeconomic catalysts but emphasized the stock’s resilience amid sector-wide volatility. Institutional buying activity in the last quarter, particularly from technology-focused ETFs, indicated sustained interest in the company’s long-term growth trajectory despite elevated valuations.
To proceed with a rigorous back-test I need to pin down a few implementation details that weren’t specified: 1. Market universe • US-listed common stocks on NYSE + NASDAQ + AMEX (default), or another universe? 2. Price used to enter / exit the position • Buy at today’s close and sell at tomorrow’s close (default for a daily-volume sort), or buy at tomorrow’s open? 3. Weighting method • Equal-weight each of the 500 names (typical) or dollar-volume/pro-rata weighting? 4. Transaction-cost assumptions • Ignore commissions/slippage (default) or apply a per-trade cost? 5. Rebalancing calendar • Every trading day from 2022-01-03 through today (default). Once we lock these in I’ll generate the data-retrieval plan, pull the price and volume data, and run the portfolio back-test.

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