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On October 2, 2025,
(EIX) reported a trading volume of $0.31 billion, marking a 72.09% surge from the previous day. This placed the stock at rank 376 in volume among listed companies. Despite the significant increase in trading activity, the share price closed 3.18% lower, reflecting heightened market volatility amid mixed investor sentiment.Analysts noted that the sharp volume spike likely stemmed from a combination of short-term trading strategies and margin-driven activity. The stock’s performance diverged from broader market trends, suggesting sector-specific pressures or earnings-related concerns. Institutional activity remained subdued, with no major buy/sell orders reported in the last 24 hours.
Recent corporate actions, including a revised dividend policy and pending regulatory filings, have drawn renewed attention to Edison’s capital structure. While these developments have not directly impacted liquidity metrics, they may influence long-term investor positioning. Market participants are closely monitoring the company’s capacity to navigate near-term operational challenges without compromising growth targets.
I can certainly help design and evaluate this strategy, but first a couple of practical details will ensure the back-test is implemented exactly the way you intend: 1. Universe: Which market should the “top-500‐by-volume” be drawn from (e.g., all U.S. listed equities, a particular exchange, a specific index set, etc.)? 2. Execution convention: • Buy at that day’s close and sell at the next day’s close (standard 1-day holding period)? • Or would you rather assume buy at next day’s open and sell at that same day’s close? 3. Price type: Close prices are the norm here; is that acceptable? 4. Risk controls: Should we apply any (stop-loss, max holding days—other than the single-day rule—or take-profit), or keep it simple with none? 5. Output preference: Do you want the aggregate portfolio return curve and statistics only, or also each day’s constituent list? Once I have this information, I can lay out the precise data-gathering and back-testing steps (and note any platform limitations or work-arounds for multi-ticker aggregation).

Hunt down the stocks with explosive trading volume.

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