AInvest Newsletter
Daily stocks & crypto headlines, free to your inbox
On October 1, 2025, Hewlett (HPE) closed at $X.XX with a trading volume of $690 million, ranking 179th in market activity for the day. The stock rose 1.51% amid mixed sector performance.
Analysts highlighted renewed institutional interest in HPE’s hybrid cloud infrastructure contracts, with recent client onboarding in financial services sectors. Short-term momentum appears supported by positive earnings visibility in Q4 2025, though long-term risks remain tied to global data center spending trends.
Market participants noted limited price elasticity in HPE’s options chain, with open interest concentrated in at-the-money strikes. This suggests traders are maintaining neutral positions ahead of potential earnings revisions in December. Technical indicators show the stock testing key resistance levels established in early 2025.
To run this back-test accurately I need to pin down a few practical details: 1. Universe • Which exchange / country should we draw the 500 highest-volume names from (e.g., all U.S. listed stocks, only NYSE + NASDAQ, another market)? • Do we include ETFs or only common shares? 2. Execution price assumption • Buy at today’s close and exit at tomorrow’s close (requires overnight gap exposure), or • Buy at tomorrow’s open and exit at tomorrow’s close? 3. Data frequency & survivorship • Is it acceptable to use end-of-day (EOD) data with current-day constituent lists (i.e., may include some survivorship bias), or do you require a strictly survivorship-bias-free dataset? 4. Tool limitation—single-ticker engine My built-in back-test engine handles one ticker at a time. For a cross-sectional strategy like this we can: a) Aggregate the daily equal-weighted returns of the 500-stock basket externally, then feed that series into the engine as a synthetic “portfolio” ticker, or b) Narrow the request to a representative ETF (e.g., SPY, QQQ) if that meets your objective. Please let me know your preferences on the four points above, and I’ll proceed to set up the data retrieval and back-testing accordingly.

Hunt down the stocks with explosive trading volume.

Dec.05 2025

Dec.05 2025

Dec.05 2025

Dec.05 2025

Dec.05 2025
Daily stocks & crypto headlines, free to your inbox
Comments
No comments yet