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On October 3, 2025,
(SNAP) surged 3.89% with a trading volume of $1.49 billion, marking a 53.66% increase from the previous day's volume and ranking 58th in market activity. The stock's momentum aligns with recent strategic updates that have reshaped investor sentiment.Analysts highlighted renewed focus on Snap's immersive platform advancements, particularly the integration of AI-driven features across its camera ecosystem. This development has triggered a reevaluation of the company's growth trajectory, with investors prioritizing long-term engagement metrics over short-term monetization concerns. The shift in narrative contrasts with earlier quarters where revenue growth skepticism tempered market enthusiasm.
Technical indicators suggest sustained buying pressure as the stock tests key resistance levels established during its 2024 consolidation phase. Positioning data reveals a 15% increase in institutional ownership since mid-September, indicating confidence in the company's product roadmap. However, market participants remain cautious about macroeconomic headwinds, with volume spikes often observed during earnings cycles in previous years.
To set up a rigorous back-test I need a bit more detail about how you’d like the strategy implemented: 1. Universe • Should “all listed U.S. stocks” be eligible, or do you want to limit the universe (e.g., NYSE + NASDAQ, or constituents of a specific index)? 2. Trade price • Enter at the day’s open and exit at the next day’s open, or use closing prices? 3. Weighting & capital allocation • Equal-weight each of the 500 names, or weight by something else (e.g., volume rank)? 4. Transaction costs / slippage • Should we include an estimate (e.g., 2 bps per side), or ignore costs for this exercise? 5. Benchmark • Compare the strategy against SPY, equal-weight index, or leave benchmark out of scope? Once I have these points I can construct the data-retrieval plan and run the back-test from 2022-01-01 to today.

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