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On September 15, 2025, , , . The stock's performance was influenced by sector-specific dynamics and broader market sentiment, as investors reassessed exposure to industrial and healthcare-focused conglomerates amid shifting macroeconomic signals.
Analysts noted that Danaher's underperformance aligned with broader weakness in the industrial equipment and life sciences segments, where profit-taking and valuation corrections were observed. While the company’s typically provides stability, recent volatility in interest rate expectations and raw material costs have introduced near-term headwinds for capital-intensive firms. Market participants remain cautious ahead of key economic data releases, which could influence discounting assumptions for long-term cash flows.
To run this back-test accurately, I’ll need to pin down a few implementation details: Universe—Do you want to rank only U.S.-listed common stocks (NYSE/Nasdaq/AMEX), or include ADRs, ETFs,
.? Is any minimum price or liquidity screen required beyond “top 500 by volume”? assumptions—Because volume is only known after the market close, a typical one-day-hold workflow is: At the close of day t, rank all stocks by that day’s volume. Form an equal-weight portfolio of the top 500. Open positions at the next market open (day t + 1 open) and close them at day t + 1 close (one full trading day). Does this workflow match what you have in mind? Transaction costs & slippage—Should we assume zero costs, or apply, say, 5 per leg to approximate real-world friction? Benchmark—Would you like the results compared with SPY (S&P 500 ETF) over the same period? Please let me know your preferences so I can set up the back-test accordingly.
Hunt down the stocks with explosive trading volume.

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