Meta's AI-Driven Metaverse Tools Spark 9th-Ranked $8.57B Trading Volume Amid Growth Hopes

On September 18, 2025, , ranking ninth in market activity. The stock’s performance coincided with strategic updates from Meta Connect 2025, where CEO unveiled AI-driven tools to accelerate metaverse development. The company announced an agentic AI assistant for Meta Horizon World, streamlining 3D content creation via text prompts, and introduced Hyperscape Capture—a technology enabling virtual replication of physical spaces through AR headsets. These innovations aim to reduce design barriers for enterprises and consumers, potentially expanding metaverse adoption in sectors like real estate, training, and collaboration. Zuckerberg emphasized AI’s role in democratizing 3D design, drawing parallels to current text and image generation capabilities. The event also highlighted the broader integration of AI into Meta’s hardware ecosystem, including upcoming smart glasses and partnerships for next-generation VR devices.

Meta’s focus on AI and metaverse accessibility aligns with its long-term vision to revitalize the platform’s growth trajectory. By lowering technical and resource barriers for developers and businesses, the company seeks to attract new enterprise clients and enhance user engagement. The introduction of tools like the Horizon Engine and Hyperscape Capture could position Meta as a leader in hybrid work solutions, particularly as competitors like Amazon explore AR applications. However, the success of these initiatives hinges on adoption rates and the ability to demonstrate tangible ROI for businesses. Analysts note that while the metaverse remains a nascent market, Meta’s integration of AI-driven workflows could differentiate its offerings in a crowded tech landscape.

To run this back-test robustly I need to pin down a few implementation details: 1. Universe • Which market should the “top-500 by daily trading volume” be drawn from (e.g., all U.S. listed common stocks, a specific index such as the Russell 3000, or another universe)? • Are any filters required (e.g., minimum price, exclude ETFs/OTC issues)? 2. Trade timing • Do we buy the 500 names at today’s close and sell at tomorrow’s close (close-to-close), or buy at next day’s open and sell at the same day’s close (close-to-open), etc.? 3. Rebalancing mechanics • Should the portfolio be equally weighted across the 500 stocks each day, or weighted by volume, market-cap, etc.? 4. Costs & constraints • Do you want to include assumed transaction costs or slippage? • Any market-impact or position limits to enforce? Once these points are clarified I can generate the data-retrieval plan and run the back-test.