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On September 29, 2025,
(PINS) closed down 0.83% with a trading volume of $0.31 billion, ranking 368th in market activity. The stock’s performance coincided with strategic updates highlighting AI integration as a core driver of user engagement and commercial innovation.Pinterest has deepened its reliance on artificial intelligence to refine visual search capabilities and personalize content delivery. Advanced machine learning algorithms now analyze billions of images to automate tagging, categorization, and trend identification. These tools enable real-time adjustments to search results, allowing users to refine queries by style, occasion, or fabric. The platform’s visual search functionality has expanded to include intuitive interactions, such as activating search via long-press on pins, enhancing accessibility without requiring text-based descriptions.
Commercial applications of AI include campaign optimization for advertisers, with algorithms predicting ad performance and selecting effective formats. New features like a refinement bar and animated purchase highlights aim to streamline e-commerce by improving user navigation and conversion rates. Transparency measures, such as labels on AI-generated content, address authenticity concerns while maintaining user control over content exposure.
Pinterest’s rollout of Top of Search ads further underscores its focus on capturing high-intent users. These ads secure premium placement in unbranded searches, where 96% of platform queries occur. Early tests showed a 29% increase in average click-through rates compared to standard campaigns, with brands like Wayfair reporting a 237% CTR lift within two weeks. The format positions advertisers to intercept undecided shoppers during critical discovery phases.
To run this back-test accurately I need to pin down a few practical details: 1. Universe • Do you want the entire U.S. listed equity universe (NYSE + NASDAQ + AMEX), or a narrower set such as current S&P 500 constituents? • If it is a non-U.S. market, please specify. 2. Rebalancing logic • Confirm we rebalance every trading day: each day we rank the universe by that day’s dollar volume, buy the top 500 names at the next day’s open, and exit all positions at that day’s close (i.e., 1-day holding period). • Positions are equal-weighted across the 500 names—please confirm. 3. Frictions • Should we ignore transaction costs and slippage, or would you like to include an estimate (e.g., 5 bp per trade)? 4. Benchmarks / comparison • Any particular benchmark you’d like to see beside the strategy (e.g., SPY)? Once I have these details I can lay out the data-gathering plan and start the back-test.

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