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On September 12, 2025, , , . The stock’s performance was influenced by mixed market sentiment amid broader sector consolidation pressures in the veterinary diagnostics industry.
Recent regulatory developments in the U.S. have intensified competitive dynamics, with industry players recalibrating R&D strategies to align with evolving compliance standards. While no direct earnings catalysts were reported, analysts noted that macroeconomic uncertainty has amplified short-term volatility for mid-cap healthcare equities like
, which lack the pricing power of larger peers.Investor positioning remains cautious as the company navigates a transitional phase in its product pipeline. A key focus remains on the adoption rate of its latest point-of-care testing platforms, which industry watchers suggest could drive long-term value but require time to offset current margin pressures from .
To run this back-test precisely we need to create, , an equal-weighted portfolio of the 500 highest-volume U.S. stocks, then hold it for one session and repeat the procedure the next day. My current tool-set is designed for single-ticker or single-event back-tests, so automatically ranking thousands of stocks each day is outside its scope. There are two practical ways forward: 1. Approximation via a liquid “high-volume-stocks” ETF (for example, the
S&P 500 High Momentum ETF, ticker SPHQ, or similar). . 2. Custom multi-ticker scripting (outside this chat interface) to generate the daily top-500 list; once the event dates (buy/sell signals) are available in a file, I can feed them into the back-test engine here. Please let me know which approach you’d like to take (or if you have another in mind).
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