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On September 16, 2025, . , . Analysts noted the move reflected renewed investor confidence in energy sector fundamentals following recent production efficiency upgrades at key offshore fields.
, . , . , which supported risk-on sentiment in local markets.
To set up an accurate back-test I need a few more details about how you’d like the strategy implemented: 1. Universe • Should the daily “top 500 by volume” be selected from all U.S. listed equities, a specific exchange (e.g., NYSE + NASDAQ), or a pre-defined index (e.g., S&P 500 constituents)? 2. Trade timing • Buy at the day’s close and sell at the next day’s close (close-to-close)? • Or buy at next day’s open and sell at that day’s close (open-to-close)? • If you have another convention in mind, please specify. 3. Transaction assumptions • Any commission or slippage you’d like factored in? • Equal-weight across the 500 names each day, or volume-weighted? 4. Risk / position limits • Any limits such as maximum position size per stock or daily turnover caps? Once I have this information I can generate the data-retrieval plan and run the back-test from 2022-01-01 through today.

Hunt down the stocks with explosive trading volume.

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