Qualcomm Gains 1.42% as 5G and AI Momentum Push Stock to 121st in $930M Volume Rankings

On October 2, 2025, Qualcomm (QCOM) rose 1.42% with a trading volume of $930 million, ranking 121st in volume among listed stocks. The chipmaker’s performance was driven by strategic positioning in 5G infrastructure and AI integration, as analysts highlighted its dominance in semiconductor innovation. Market participants noted recent regulatory developments in global telecom standards as a catalyst for investor confidence.

Back-testing parameters for QCOM require clarification on four key factors: trading universe scope (e.g., S&P 500 vs. broader U.S. equities), weighting methodology (equal-weight vs. capitalization-weighted), transaction cost assumptions, and re-balancing timing (close-to-close vs. open-to-open). These variables will determine the accuracy of performance metrics from January 3, 2022, to the present. A finalized framework is critical for evaluating rotation strategies tied to daily volume rankings.

To run this back-test properly, I need to pin down a few details that aren’t fully specified yet: 1. Trading universe • Which market should we rank for volume each day – e.g., all U.S. common stocks (NYSE + NASDAQ + Amex), only the S&P 500 constituents, or another list? 2. Weighting of the 500 names • Equal-weight each name (standard for this type of rotation) or volume- or capitalization-weighted? 3. Transaction costs / slippage • Should we assume zero cost, or add a cost per trade (e.g. ±2 bp per side) since we are turning the whole book over daily? 4. Re-balancing time stamp • Buy at today’s close and sell at tomorrow’s close (standard 1-day hold)? • Or open-to-open, etc.? Once I have these four items I can generate the daily signal file and run the performance engine from 2022-01-03 through today.