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On September 19, 2025, , , . The stock’s strong performance followed a strategic shift in its ride-hailing business model, with the company announcing expanded partnerships with third-party logistics providers to reduce operational costs. Analysts noted the move could stabilize margins amid rising fuel expenses, though some cautioned about potential customer retention risks.
Uber also unveiled a revised EBITDA guidance for Q4, reflecting improved cost discipline in its delivery segment. , signaling progress in optimizing unit economics. Meanwhile, regulatory developments in key markets like Brazil and India added tailwinds, as local governments approved tax adjustments favoring ride-hailing platforms.
Market participants interpreted the volume surge as a short-term technical catalyst, with retail investors showing renewed interest in the stock. However, long-term optimism remained tempered by macroeconomic uncertainties, particularly the Federal Reserve’s hawkish stance on interest rates, which could weigh on discretionary spending.
To make sure I design the back-test exactly the way you intend, could you please clarify a few points? 1.
• Should the “top 500 stocks” be drawn from the entire U.S. equity universe (all listed common stocks), or from a narrower group such as the S&P 500 constituents? 2. Selection timing • Do we rank on the prior-day’s trading volume and open the position at the next day’s market open (a realistic, executable rule), or do you want to use the same day’s volume (which isn’t known until after the close)? 3. Trade price • Should we enter at the open and exit at the next day’s open, or use close-to-close prices? 4. Handling of corporate actions and survivorship bias • Is it acceptable to use survivorship-free data (i.e., include delisted names) where available? 5. Benchmark / comparison • Would you like the results compared against a benchmark such as the S&P 500 (SPY) or left un-benchmarked? Once I have this information I can generate the trade list, run the back-test from 2022-01-01 to today, and present the results.
Hunt down the stocks with explosive trading volume.

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