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Oracle (ORCL) closed higher by 1.90% on October 6, 2025, with a trading volume of $4.11 billion, ranking 18th in market activity for the day. The stock’s performance followed mixed sentiment around its enterprise software roadmap and evolving cloud infrastructure strategies, though no specific earnings or partnership announcements were cited as direct catalysts for the move.
Analysts noted that Oracle’s recent strategic focus on hybrid cloud solutions and AI integration has drawn renewed institutional interest, particularly amid broader market optimism toward long-term tech sector tailwinds. However, near-term volatility remains tied to execution risks in its transition to generative AI-driven services, with investors balancing growth potential against operational complexity.
To run this back-test accurately, I’ll need a few clarifications: (1) Universe—Which market should the “top-500 by trading volume” be drawn from? (e.g., all U.S. common stocks, S&P 500 constituents, global equities, etc.) (2) Portfolio mechanics—Equal-weight each of the 500 names every day, or weight by volume/market-cap? Rebalance every day (i.e., exit at the next day’s close and form a fresh top-500 list)? (3) Practical assumptions—Include basic trading costs (bid/ask spread, commissions) or ignore them? Any constraints such as minimum price, corporate-action adjustments, survivorship bias handling? Once these are settled, I can generate the necessary daily buy/exit signals and feed them into the back-test engine.

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