Verisk Analytics Drops 0.76% on $460M Volume, Ranks 372nd in Market Activity
On September 19, 2025, , ranking 372nd in market activity. The decline occurred amid mixed market conditions and sector-specific dynamics.
Recent developments highlight potential catalysts for near-term volatility. A strategic partnership with a major insurance provider was announced, signaling expanded data analytics capabilities for risk modeling. The agreement, focused on enhancing underwriting precision for property insurers, could drive long-term revenue growth but remains subject to implementation timelines. Analysts noted the deal's significance for VRSK's enterprise risk management segment, .
Technical indicators suggest short-term pressure on the stock. The 50-day moving average has crossed below key support levels, while on-chain data reveals increased short-interest positioning. However, fundamental metrics remain stable, . , indicating underlying confidence in the company's core data intelligence services.
To run this back-test accurately I need to clarify a few practical details that will determine how we set up the data retrieval and the daily rebalancing logic: 1. UniverseUPC-- • Which market/universe should we pull the "top-500-by-volume" from each day? • If it’s U.S. equities, is it the full listed universe (NYSE + NASDAQ + AMEX) or a sub-set such as the S&P 1500? 2. Pricing & execution convention • Should we assume: – Buy at the close on day T (after ranking by that day’s volume) and sell at the close on day T + 1? – Or buy at the next open and sell at the following close? • Which price field (close or open) should drive fills? 3. Transaction costs & slippage (if any) • Do you want to ignore them, or apply a per-trade cost assumption? 4. Weighting scheme • Equal-weight each of the 500 names every day (default), or volume-weighted / market-cap-weighted? Once I have these four items confirmed I can automatically pull the historical volume data, generate the daily portfolios, and feed the trade signals into the back-testing engine.


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