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On September 19, 2025, , . The stock's performance diverged from its elevated liquidity metrics, reflecting mixed investor sentiment amid broader market dynamics.
Analysts noted that Mastercard's volume spike likely stemmed from algorithmic trading flows and institutional rebalancing, though no company-specific catalysts were identified in the reporting period. The lack of material earnings updates or regulatory developments for the payment processor left price action unanchored to fundamental drivers, amplifying volatility in its short-term trajectory.
To run this back-test properly I need to pin down a couple of practical details: 1.
• Should we look at all U.S. listed common stocks (NYSE + NASDAQ), or another market? • ADRs, ETFs and preferred shares: include or exclude? 2. ? • The ranking has to be done every trading day. . 3. ? • Or weight by volume, market-cap, etc.? 4. , or do you need risk metrics (volatility, max drawdown, ? The tool set available inside this workspace can back-test a single instrument or a basket whose membership is known in advance. . Pull full-universe daily volume data, . B. Approximate the strategy with a predefined high-liquidity universe (e.g., top 1000 U.S. . Let me know which universe and approach you prefer, .Hunt down the stocks with explosive trading volume.

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