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On September 19, 2025, , , . The stock's performance coincided with mixed market sentiment toward Southeast Asia's ride-hailing giant.
Recent developments highlighted Grab's strategic pivot to bolster its food delivery and digital payments segments, aiming to diversify revenue streams amid slowing ride-hailing growth. Analysts noted that the company's Q2 earnings report, released two weeks prior, underscored cautious optimism about its profitability timeline, though short-term operational costs remain elevated.
Investor focus shifted to Grab's partnership announcements in logistics technology, which analysts said could enhance margins over the medium term. However, macroeconomic headwinds, including rising interest rates and regional currency volatility, continued to weigh on speculative tech stocks. Short-term traders observed mixed order flow patterns, with institutional buying activity contrasting retail position reductions ahead of earnings season.
To run this back-test rigorously I need to pin down a few practical details: 1. Stock
• Do you want to rank all U.S. listed common stocks each day, or restrict the ranking to a specific universe (e.g., S&P 500 constituents, NASDAQ-100, Russell 3000, etc.)? • If you prefer "all listed stocks," please confirm that’s acceptable even though OTC and very illiquid names may appear. 2. Trade-timing convention • Volume is only known after the market close. • Typical workflow: a. At today’s close, rank stocks by today’s volume. b. Enter positions at next day’s open, hold one trading day, exit at that day’s close. • Is this the convention you want, or do you prefer another (e.g., buy at today’s close right after the ranking)? 3. Position sizing • Equal-weight across the 500 names each day (the most common approach)? • Or size by another rule (e.g., proportional to volume)? Once these three points are settled I can generate the daily trade signals, , and present full performance statistics and charts.
Hunt down the stocks with explosive trading volume.

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