Uber's $1.24B Volume Dives 45% as Shares Fall 2.3% and Rank 71st in U.S. Market Activity

On October 7, 2025, Uber (UBER) recorded a trading volume of $1.24 billion, a 45.56% decline compared to the previous day, ranking it 71st in terms of volume within the stock market. The ride-hailing giant’s shares closed 2.30% lower, reflecting subdued investor activity amid broader market conditions.

The stock’s performance was influenced by limited positive catalysts in its core operations. Recent operational updates highlighted mixed progress in cost optimization and rider growth, with some analysts noting that near-term margins remain under pressure from competitive dynamics and macroeconomic headwinds. However, no material corporate announcements or regulatory developments directly tied to Uber’s business were reported during the period.

Investor sentiment appeared to align with broader market trends, where reduced trading volumes often correlate with lower conviction in directional bets. The decline in Uber’s volume, coupled with its price drop, suggests cautious positioning among traders, though no specific earnings or strategic updates triggered the move. Analysts emphasized that the stock’s trajectory remains contingent on its ability to demonstrate sustainable profitability amid evolving market expectations.

To ensure I can provide a meaningful back-test for you, I need to clarify a couple of practical details: 1. Universe of stocks—Do you want to screen all listed U.S. stocks, restrict to a specific exchange (e.g., NYSE + NASDAQ), or focus on a narrower universe such as the S&P 500 constituents? A “top-500-by-volume” screen across the entire U.S. market involves several thousand tickers each day; implementing that precisely requires a specialised multi-asset engine. Our current single-ticker back-test engine can’t directly rebalance a 500-stock portfolio day-by-day, but we can approximate the idea in a few ways (see point 3). 2. Rebalancing mechanics—Entry price: should we assume buying at the day’s close and exiting at the next day’s close? Weighting: equal weight for all 500 names each day? 3. Implementation options given the platform limits—A) Index proxy – If the goal is simply to gauge whether “high-volume names” outperform, we could approximate with an ETF or index that tracks the most actively traded stocks (e.g., SPY for large caps or a high-liquidity ETF such as RSP). B) Event-driven slice – We can pick a manageable subset (say, S&P 500 constituents) and test an event schedule: each stock enters the “trade” on any day it appears in the top-N volume list for that subset, exits after one day. This is more involved but feasible. C) Custom research file – You could upload (or I can help you compile) a daily CSV of the 500 tickers selected each day, then I run an event-driven back-test on that list. Let me know which approach matches your intent (or if you have another preference), and I’ll proceed with the appropriate data retrieval and back-testing steps.