Amer Sports Trading Volume Surges 46% to $210M, Ranks 468th in Market Activity as Guidance Hike Drives 2.13% Share Rally

Generated by AI AgentAinvest Volume Radar
Thursday, Sep 18, 2025 6:26 pm ET1min read
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Aime RobotAime Summary

- Amer Sports shares surged 2.13% as trading volume spiked 46% to $210M, ranking 468th in market activity following updated guidance.

- The company raised 2025 Q3 revenue forecasts to "high 20s" growth, exceeding prior 20% estimates, while reaffirming margin expansion targets.

- CEO James Zheng highlighted exceptional growth in Salomon Softgoods and Arc'teryx, with technical apparel and outdoor segments targeting mid-teens to low-double-digit revenue gains.

- CFO Andrew Page emphasized maintaining aggressive long-term goals despite a significantly higher revenue base compared to 2023 benchmarks.

On September 18, 2025, , , ranking 468th in market activity. , reflecting renewed investor confidence following strategic updates. The company announced an updated long-term financial algorithm and raised third-quarter 2025 guidance, emphasizing robust growth across its premium sports and outdoor brands.

During an investor day event in Vancouver, CEO highlighted "exceptional growth" from Salomon Softgoods and a reacceleration in Arc'teryx performance. The company reiterated ambitious targets, . , .

, . . CFO underscored the company’s ability to maintain aggressive long-term goals despite a significantly higher revenue and margin base compared to 2023, the baseline year for the algorithm.

To run this test accurately I need to clear up a few practical details: 1. Universe Which market or index do you want to draw the “top‐500” from each day? (e.g., all U.S. common stocks, S&P 500 constituents, etc.) 2. Volume definition Do you want to rank by: • Dollar volume (shares × price) • Share turnover (raw shares traded) 3. Trade timing Should we assume: • Buy at today’s close → sell at tomorrow’s close, or • Buy at tomorrow’s open → sell at tomorrow’s close? 4. Weighting Equal-weight each of the 500 names, or weight them by volume? Once I have those four points I can lay out the exact data-retrieval plan, pull the necessary volume data and price series, and run the back-test.

Hunt down the stocks with explosive trading volume.

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