Adobe Stock Slides 0.5% on 39% Volume Drop Ranks 53rd in U.S. Trading Activity as Partnerships with Luma AI and Qualcomm Highlight Strategic AI Expansion

Adobe (ADBE) closed on September 22, 2025, , , . . equities. Two strategic partnerships highlighted its business developments, potentially influencing investor sentiment.

Adobe announced a collaboration with Luma AI to integrate the latter’s Ray3 generative video model into Adobe Firefly. The partnership aims to enhance creative workflows by enabling users to produce cinematic-quality video content with native HDR support. Ray3 will be accessible via Firefly Boards for pre-shooting visual testing and Firefly’s Text-to-Video feature for rapid b-roll generation. The integration aligns with Adobe’s broader strategy to position Firefly as a central hub for creative AI tools.

Separately, Adobe revealed that Qualcomm has adopted Adobe GenStudio to streamline its content supply chain using generative AI. Qualcomm will leverage GenStudio for Performance Marketing to automate asset creation, resizing, and translation while maintaining brand consistency. Adobe Express and Firefly will further empower Qualcomm’s marketing teams to produce on-brand content rapidly. This partnership underscores Adobe’s role in scaling AI-driven solutions for enterprise-level content production.

To run this back-test I need to pin down a few practical details so that the data we pull and the calculations we run match exactly what you have in mind: 1. Universe • Should we look at all U.S. common stocks (NYSE + NASDAQ + Arca) or another exchange / region? • Do we keep de-listed tickers in the sample (so the history is survivorship-bias-free)? 2. “Top 500 stocks by daily trading volume” • Volume measured in shares traded or in dollar value (shares × close price)? • Ranking and portfolio refresh frequency – daily re-ranking and re-balancing at the next day’s open (hold for one day), correct? 3. Weighting scheme • Equal weight across the 500 names each day, or volume-proportional / dollar-neutral weighting? 4. Frictional costs • Apply any transaction cost assumptions (commissions, spreads, slippage)? • Skip if you’d like a pure gross‐return back-test. Once these points are set, I can generate the data retrieval plan, pull volumes and prices, build the daily 500-stock portfolio, and run the one-day-hold performance test from 2022-01-01 through the latest market close.