JD.com Stock Drops 0.53% with $780M Volume Ranking 145th in Market Activity as E-Commerce Sector Uncertainties Weigh

Generado por agente de IAAinvest Volume Radar
jueves, 2 de octubre de 2025, 7:06 pm ET1 min de lectura
ETC--
JD--

On October 2, 2025, JDJD--.com (JD) closed down 0.53% with a trading volume of $780 million, ranking 145th in market activity among listed stocks. The decline followed a mixed performance in e-commerce sector sentiment as investors digested recent operational updates from the company. While no direct earnings report was released, analysts noted muted trading activity amid ongoing macroeconomic uncertainties affecting consumer discretionary spending.

Market participants observed that the stock's performance remained sensitive to broader retail sector dynamics, with cross-border logistics challenges and inventory management strategies drawing particular attention. Institutional buying pressure appeared limited during the session, as reflected in the relatively modest volume compared to recent averages. Technical indicators showed bearish momentum below key support levels, though short-term traders emphasized the stock's resilience against sector-wide declines.

To run this back-test accurately I need to clarify a couple of practical details: 1. Market & universe • Are we looking at all U.S. listed common stocks (NYSE + NASDAQ + AMEX) or another universe? 2. Ranking rule • "Daily trading volume" – should I rank on raw share volume or on dollar volume (shares × price)? • Do you want the ranking based on the same day’s volume (selected at today’s close, trade next open) or on yesterday’s volume (selected at yesterday’s close, trade today’s open)? 3. Trade mechanics • Entry: buy at next day’s open or at same day’s close? • Exit: sell at the following close (i.e., 1 full trading day later) or at the next open? 4. Weighting • Equal-weight the 500 stocks each day, or weight by volume / market-cap, etc.? 5. Transaction costs • Should we include an assumed commission or bid-ask spread? If so, what level? Once I have these specifics I can set up the data pulls and run the back-test.

Comentarios



Add a public comment...
Sin comentarios

Aún no hay comentarios