Oracle Shares Plummets 2.7 as $7.4 Billion Volume Ranks Eighth in U.S. Market Amid Cloud and AI Uncertainties

Oracle (ORCL) closed at a 2.70% decline on September 26, 2025, with a trading volume of $7.41 billion, marking a 35.68% drop compared to the previous day’s volume. The stock ranked eighth in volume among U.S.-listed equities, reflecting heightened market activity amid mixed sector dynamics.

Recent developments suggest Oracle’s performance is influenced by evolving cloud infrastructure demand and competitive positioning. While specific catalysts remain unconfirmed, analysts note that enterprise software licensing trends and AI integration timelines could weigh on short-term sentiment. Market participants are closely monitoring upcoming earnings reports for clarity on revenue mix shifts.

To carry out this back-test rigorously I need to clarify a few key points and make sure our data-processing pipeline matches your intent: 1. Universe • Do you want to rank all U.S.–listed common stocks each day, or restrict the universe (e.g. current S&P 500 constituents)? 2. Volume metric • Rank by raw share volume or by dollar volume (volume × close price)? 3. Trade prices • Enter at the same-day close and exit at the next-day close (my default assumption), or use open prices instead? 4. Transaction costs & slippage • Should we apply an estimate (e.g. 2 bp per leg) or ignore costs? 5. Practical note on implementation • A daily rotation into 500 names is a portfolio-level strategy. Our engine can accommodate it by building an equal-weight portfolio whose value we track day-by-day, but I need the above details before generating the signal file. Once these are settled I’ll: • Pull daily volume & prices for the chosen universe (2022-01-01 to today). • Generate the daily top-500 pick list and 1-day-hold signals. • Run the back-test and present the return & risk statistics, together with a visual report. Let me know your preferences on the five items and I’ll proceed immediately.