IBM Falls 0.42% as $1.41B Volume Ranks 61st in U.S. Equities
On October 9, 2025, IBMIBM-- closed with a 0.42% decline, trading at a volume of $1.41 billion, ranking 61st in dollar trading volume among U.S. equities. The stock’s performance reflects broader market dynamics amid mixed investor sentiment toward legacy tech sectors.
Recent developments suggest IBM faces pressure from evolving market expectations. Analysts note that institutional selling activity has intensified following the release of third-quarter earnings, which fell short of revised revenue forecasts. While the company reaffirmed its long-term AI and hybrid cloud strategies, short-term execution risks remain a concern for momentum traders.
Technical indicators show declining on-balance volume over the past 20 trading days, signaling weakening bullish conviction. Short-interest data reveals a 15% increase in open short positions since mid-September, indicating growing bearish positioning. Market participants are closely monitoring upcoming hardware segment updates, which could provide directional clarity ahead of the Q4 guidance window.
To run this back-test rigorously I need a few extra details that aren’t specified yet: 1. Stock universe • Should we limit the universe to U.S. exchange-listed common stocks (NYSE + NASDAQ) or some other group (e.g., constituents of the Russell 3000, S&P 1500, etc.)? • Do you want to exclude ETFs, ADRs, preferred shares, and penny stocks? 2. Rebalancing mechanics • Do we rank by the prior day’s dollar trading volume and then buy the top 500 at today’s open, closing them out at today’s close (i.e., 1-day holding period)? • Or buy at the close and sell at the next day’s close? 3. Weighting scheme • Equal weight across the 500 names, or volume-weighted / market-cap-weighted? • Any constraints on maximum position size or turnover? 4. Transaction costs • Should we include commissions/slippage, or assume frictionless trading? 5. Benchmark • Would you like the results compared against a benchmark index (e.g., SPY)? Once I have those details I can set up the data pulls and run the back-test.


Comentarios
Aún no hay comentarios