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On October 9, 2025, , , . , reflecting mixed investor sentiment ahead of earnings reports and macroeconomic updates.
Recent developments highlight supply chain dynamics and capital expenditure forecasts as key drivers for the semiconductor giant. Analysts noted that near-term production adjustments at advanced nodes could delay revenue visibility, while long-term demand from AI infrastructure remains resilient. Geopolitical risks, particularly in key markets, were cited as potential headwinds for quarterly guidance.
To run this cross-sectional strategy rigorously I need to pin down a few practical details (our back-test engine has to receive precise inputs):
1. Universe • All U.S. common stocks (NYSE + NASDAQ) – is that acceptable? • Should ETFs, ADRs, penny stocks (< $1) or recently-listed SPACs be excluded?
2. Weighting method • Equal-weight each of the 500 names every day (default), or value-weight them by traded dollar volume?
3. Re-balancing costs • Apply a commission/slippage assumption (e.g., 2 bp per side) or ignore transaction costs?
4. Benchmark (optional) • Compare against SPY, equal-weight universe, or no benchmark?
5. Start/end dates • I will use 2022-01-03 (first trading day in 2022) through today unless you prefer different.
Once those points are confirmed I’ll retrieve the daily volume data, generate the day-by-day 500-stock portfolio, convert it into daily P/L series and run the performance engine for you.

Hunt down the stocks with explosive trading volume.

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