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On October 6, 2025,
reported a trading volume of $0.57 billion, ranking it 212th among equities listed in the U.S. market. The futures exchange operator closed the session down 0.99%, marking a continuation of recent volatility in its stock price.Analysts noted mixed signals influencing the stock's trajectory. A regulatory update from the Commodity Futures Trading Commission highlighted ongoing scrutiny of clearinghouse operations, prompting investor caution. Meanwhile, a separate report underscored CME's Q3 revenue growth outpacing industry benchmarks, driven by expanded ETP listings and increased options trading activity. These divergent factors created a tug-of-war between risk-off sentiment and fundamental optimism.
Market participants are closely monitoring the interplay between macroeconomic indicators and CME's operational performance. While the broader financials sector showed resilience against rate hike expectations, CME's market share in derivatives trading faces pressure from digital asset platforms. The company's upcoming earnings report in mid-October is expected to provide clearer guidance on client retention metrics and capital allocation strategies.
To run this back-test properly I need to pin down a few implementation details: 1. Stock universe • Do you want to look at all U.S.-listed common stocks, or restrict the universe to a specific index (e.g., current S&P 500 constituents)? 2. Entry/exit prices • Buy at today’s close and sell at tomorrow’s close (the most common daily-rotation convention), or buy at tomorrow’s open and sell at tomorrow’s close? 3. Position sizing • Equal-weight the 500 names each day, or weight by something else (e.g., dollar trading volume)? 4. Transaction costs (optional) • If you want to include commissions / slippage, please specify the rate; otherwise I’ll assume zero. Once I have these details I’ll generate the signal file (dates of daily opens and closes), run the back-test from 2022-01-03 to the present, and present the performance report.

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