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Parker Hannifin (PH) closed on Sept. 29 with a 0.38% gain, marking a significant 80.32% surge in trading volume to $460 million—the 243rd highest on the day. The move followed a strategic shift in its industrial automation division, which announced a partnership to streamline supply chain logistics for energy sector clients. This collaboration, expected to reduce operational costs by 12-15% over two years, has drawn renewed institutional interest, particularly from asset managers overweight in mid-cap industrial equities.
Analysts highlighted the timing of the volume spike, noting it occurred ahead of the October earnings window. Short-interest data showed a 9.2% decline in open short positions since mid-September, suggesting growing confidence in the company’s ability to navigate sector-wide margin pressures. While no official guidance revisions were issued, third-party estimates from sell-side analysts indicate a 7-8% upward adjustment in consensus EPS forecasts for FY2026.
To run this back-test robustly I need a bit more detail (and to make sure the set-up matches what the back-test engine can process): 1. Universe • Which market should we draw the daily-volume list from (e.g. all U.S. listed common stocks, only S&P 500 constituents, a specific exchange)? 2. Weighting & sizing • Do you want the 500 names held with equal dollar weight each day, or another scheme (e.g. volume-weighted, market-cap-weighted)? 3. Trading costs / slippage • Should we include an explicit transaction-cost assumption? If so, what rate (e.g. 5 bps per side)? 4. Benchmark (optional) • If you’d like relative performance, what benchmark should we compare against (e.g. SPY)? Once I have these details I’ll generate the data-retrieval plan and run the back-test.

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