JPMorgan’s 1.69% Rally Driven by Algorithmic Flows as Stock Ranks 24th in U.S. Daily Turnover

On September 9, 2025, , ranking 24th among U.S. equities in daily turnover. The stock’s performance was influenced by a combination of market dynamics and sector-specific positioning, though no direct earnings or strategic announcements were reported for the firm on the day.

Analysts noted elevated trading activity in the financial sector as investors recalibrated exposure ahead of macroeconomic data releases later in the week. While JPMorgan’s shares outperformed the broader banking index, the move was attributed to algorithmic trading flows rather than fundamental catalysts. Market participants remained focused on interest rate expectations, with positioning in megabanks reflecting cautious optimism about capital returns and balance sheet resilience.

To run this back-test accurately I need to pin down a few practical details: 1. Universe • Should we look at all U.S. listed common stocks (NYSE + NASDAQ + AMEX), or a different market/universe? 2. Execution prices • After we know each day’s trading-volume ranking only at the close, a common convention is: – Buy the selected stocks at that day’s close. – Hold one full trading day and exit at the next day’s close. • Is that acceptable, or would you rather trade at the next day’s open? 3. Position sizing • Equal-weight each of the 500 names every day? (default) 4. Costs & constraints • Assume zero slippage/commissions for now, or add a standard estimate? 5. Current end-date • Use the most recent completed trading day (2025-09-08) as “now”?