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Ecolab (ECL) closed on Sept. , , ranking 289th in U.S. equity turnover. The stock's modest rally followed a strategic update highlighting its water risk management solutions for industrial clients, a sector showing renewed institutional interest in Q3 2025.
Analysts noted increased buying pressure from institutional accounts in the week leading to the close, . , suggesting growing conviction in the company's operational resilience amid softening chemical input prices.
While the stock's technical indicators remain mixed, with RSI hovering near overbought territory, earnings expectations for Q4 have been upgraded by three analysts this quarter. The upgrades followed Ecolab's recent contract wins in the food processing and semiconductor sectors, .
To run this test rigorously we need to build a day-by-day, equal-weighted portfolio of the 500 highest-volume U.S. stocks, then rebalance it every trading day from 2022-01-01 through today and measure the one-day holding return. Our current back-test engine works on a single security at a time (with "buy" and "sell" signals). Constructing and rebalancing a 500-stock daily portfolio would require a multi-asset portfolio engine that we don't have in this interface. Two ways we could proceed: 1. Approximation with a proxy index or ETF • For example we could use the S&P 500 Index (or SPY) as a rough proxy for "large, most-traded" U.S. stocks and back-test a daily buy-and-sell strategy on SPY. • This won't capture the true "top-500-by-volume" rotation, but it at least answers "what if we bought 'the market' each day". 2. Narrow the scope to a single high-volume stock (e.g., AAPL) or a small fixed basket and test the 1-day-hold rule there. Let me know which route (or another) best suits your objective so I can set up the appropriate back-test.

Hunt down the stocks with explosive trading volume.

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