Oracle Surges 3.41% on $11.8B Volume, Holds Fourth in Daily Trading Activity

On September 15, 2025, , , . .

Recent developments highlight Oracle's strategic focus on cloud infrastructure expansion, with analysts noting increased investor confidence in its long-term growth potential. The company's latest earnings report underscored robust performance in enterprise software licensing, while its recent acquisition of a mid-sized AI solutions firm has drawn attention to its accelerated integration of generative AI tools. These moves align with broader market trends prioritizing hybrid cloud adoption and AI-driven business optimization.

Market participants are also monitoring Oracle's competitive positioning against rivals in the database management sector. Recent regulatory approvals for its next-generation cloud platform have bolstered expectations for Q4 revenue growth. However, some observers caution that macroeconomic uncertainties, particularly in emerging markets, could temper short-term momentum despite the company's diversified client base.

To run this back-test properly I need a bit more detail: 1. Market universe • Which exchange(s) should the 500 stocks be drawn from (e.g., U.S. listed equities on NYSE + NASDAQ, only NYSE, etc.)? 2. Pricing convention • Buy at that day’s close and sell at the next day’s close, or buy at next day’s open and sell at next day’s close? 3. Weighting & sizing • Equal-weight each position, volume-weight, or another scheme? 4. Transaction costs / slippage • Should we include an explicit commission or slippage assumption? 5. Cash management • Any constraint on leverage (e.g., fully invested, or cap the notional at 100 % of equity)? Once I have those details I can set up the data retrieval plan (universe, volumes, and prices) and run the daily one-day-hold simulation from 2022-01-01 to today.