Comfort Systems USA (FIX) Plunges 0.89% on $210M Volume, Ranks 491st in Market Activity

Generated by AI AgentAinvest Volume Radar
Tuesday, Sep 9, 2025 6:12 pm ET1min read
ETC--
FIX--
Aime RobotAime Summary

- Comfort Systems USA (FIX) fell 0.89% on $210M volume, ranking 491st in market activity, reflecting broader market dynamics and shifting investor sentiment.

- Institutional ownership remains strong at 96.51%, with analysts maintaining a "Buy" rating and a $635.60 price target, despite a 11% downside from current levels.

- The stock's P/E ratio of 36.68 exceeds its sector average, suggesting potential overvaluation, while short interest rose 12.39% month-over-month.

On September 9, 2025, Comfort Systems USAFIX-- (FIX) closed at a 0.89% decline, with a trading volume of $210 million, ranking 491st in market activity. The stock’s performance reflects broader market dynamics and specific investor sentiment shifts.

Brown Advisory’s Mid-Cap Growth Strategy highlighted Comfort in its Q2 2025 letter, noting the firm’s 20% year-over-year revenue growth to $2.2 billion. Despite this, the strategy emphasized AI-driven stocks as offering higher upside potential. Hedge fund ownership of Comfort increased slightly, with 53 portfolios holding the stock by quarter-end, up from 48 previously.

Zacks Investment Research included Comfort in its AI infrastructure-focused list, citing demand for specialized HVAC solutions in data centers. The firm projected 13.9% revenue growth and 44.1% earnings growth for 2025, driven by AI and cloud computing expansion. However, short interest in Comfort rose 12.39% month-over-month, indicating waning investor confidence.

Institutional ownership remains strong at 96.51%, while insider sales over the past three months totaled $17.6 million. Analysts remain cautiously optimistic, with a “Buy” consensus rating and a price target of $635.60, implying a 11% downside from current levels. The stock’s P/E ratio of 36.68 exceeds its sector average, suggesting potential overvaluation relative to assets.

To run a rigorous back-test I need to clarify a couple of practical points: 1. UniverseUPC-- • Should I use all U.S. listed common stocks, or a narrower universe (e.g., Russell 3000, S&P 1500, etcETC--.)? 2. Weighting method • Equal weight (each of the 500 names gets the same dollar allocation) or volume-weighted / cap-weighted? 3. Execution price • Enter at today’s close and exit at tomorrow’s close (typical “next-day” hold)? • Or enter at tomorrow’s open and exit at tomorrow’s close? 4. Transaction costs • Ignore trading costs, or assume a commission/slippage (e.g., 5 bp in/out)? Our back-testing engine handles single-ticker or event-based studies out-of-the-box. A cross-sectional “top-500-by-volume” strategy requires stitching together many tickers. I can either: A) Build an approximate study by sampling a representative liquid universe (say, the 100 largest stocks) and treating the “top-volume” signal as an event on each security, then aggregate the per-stock results. B) Export the full data set and run a custom Python back-test offline (I’d provide the Python notebook and summary stats). Let me know your preferences on the four points above and which implementation path (A or B) you’d like to pursue.

Hunt down the stocks with explosive trading volume.

Latest Articles

Stay ahead of the market.

Get curated U.S. market news, insights and key dates delivered to your inbox.

Comments



Add a public comment...
No comments

No comments yet