JD.com Surges 3.24% on $950M Volume Ranks 101st in Trading Activity

On September 16, 2025, , . , reflecting heightened investor interest despite mixed market conditions.

Recent developments suggest renewed focus on JD's logistics infrastructure and e-commerce partnerships. Analysts noted that improved third-party vendor integration and warehouse automation trials have bolstered short-term confidence. However, ongoing regulatory scrutiny in the retail sector continues to temper broader optimism, with investors closely monitoring compliance updates.

Backtesting parameters require clarification to ensure methodological precision. Key considerations include defining the stock universe (e.g., broad U.S. equity market or S&P 500 constituents), establishing ranking logic for daily volume-based selections, and determining position sizing approaches. Transaction cost assumptions and benchmark comparisons, such as SPY, also need finalization to generate actionable performance metrics.

To run this back-test rigorously, I need to pin down practical details that aren’t fully specified yet. Could you confirm or suggest alternatives on the following points? This will allow me to set up the data-pull and execute the back-test efficiently. 1. Stock universe: All NYSE/NASDAQ/AMEX-listed common stocks or a narrower subset? 2. Ranking logic: Use day t-1 volume to select top-500 names, buying at day t open with 1-day holding. Is this sequencing acceptable? 3. Position sizing: Equal-weight across 500 stocks or volume/market-cap weighted? 4. Transaction costs: Ignore for now or apply fixed bps per trade? 5. Benchmark: Compare against SPY or another index? Once confirmed, I will deliver full return statistics and performance charts.