Oracle's $4.64B Volume Falls 30.6% to 18th in U.S. Equities Amid Cloud Push

Oracle (ORCL) closed down 0.08% on October 2, with a trading volume of $4.64 billion, a 30.6% decline from the previous day's activity. The stock ranked 18th in volume among U.S. equities, signaling reduced short-term market participation despite maintaining a stable price trajectory.

Recent developments highlight Oracle's strategic focus on cloud infrastructure expansion, with executives emphasizing long-term growth in AI-driven enterprise solutions. Analysts noted that the company's Q4 guidance for cloud revenue growth exceeded industry benchmarks, though near-term volume trends suggest tempered investor urgency ahead of upcoming earnings reports.

The strategy you described requires building and re-balancing a 500-stock portfolio every trading day and tracking its P&L over nearly three years. Our current back-test engine is designed for single-ticker strategies, so it can’t directly simulate a daily-rebalanced multi-asset portfolio of this size.

There are a couple of practical ways we could still give you useful insight: 1) Event-based approach (per-stock): For each stock, define an “event” whenever it enters the top-500-by-volume list. Use the event-backtest engine to measure the average 1-day return after that event across all stocks. Aggregate the statistics (mean, median, hit-rate, etc.) to approximate how the whole basket would behave. 2) ETF / index proxy: Use a high-capacity broad-market ETF (e.g., SPY or VTI) to gauge whether “high-volume stocks” outperform the market over 1-day horizons. This is only a proxy, but it can be run immediately with the single-ticker back-test engine. 3) Custom offline simulation (outside current tool set): Export the necessary data and run an external portfolio back-test. Results would then be imported for visualization. This is feasible but takes more time and data handling.