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On September 15, 2025, , , . The move follows a series of strategic updates and regulatory developments impacting its core operations.
Recent analysis indicates that ICE's performance is closely tied to its ongoing restructuring efforts in energy trading divisions and evolving regulatory scrutiny. The company has been streamlining its portfolio to align with shifting market demands, which has triggered mixed investor sentiment. While cost-cutting measures have been praised, .
Market participants are also monitoring ICE's response to competitive pressures in the commodities sector. Recent announcements about technology upgrades and potential partnerships have not yet translated into immediate confidence boosts, as traders await concrete execution outcomes. The stock's liquidity profile remains stable, .
To run this back-test accurately I need to clarify a couple of practical details so we can set up the data pull and the execution logic correctly: 1.
• Which market should we look at when ranking by trading volume? - All U.S. listed common stocks? - A specific index constituency (e.g., Russell 3000)? - Another region or exchange? 2. Volume definition • Rank by share volume or by dollar volume (price × shares)? 3. Execution convention • Buy at the close of day T and sell at the close of day T+1 (i.e., one full trading day), or buy next-day open and sell next-day close? • Use equal weight across the 500 names each day? 4. Benchmark / comparison • Do you want the strategy’s daily curve only, or also stats versus a benchmark index (e.g., SPY)? Because the available back-test engine handles one ticker at a time, building a 500-stock, daily-rebalanced portfolio requires preparing a custom daily position file first. Once you confirm the above items, I can lay out the data-retrieval plan and start generating that position file automatically.
Hunt down the stocks with explosive trading volume.

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