CME's $270M Volume Surges to 386th in U.S. Rankings as Benchmark Index Climbs 0.34% Amid Sector Rebalancing

On September 23, 2025, , ranking 386th among U.S. equities. , with volatility indices stabilizing after recent fluctuations.

Analysts noted the move reflected sector-specific positioning adjustments as balanced exposure to interest rate-sensitive assets. , suggesting renewed institutional activity in derivatives markets. The firm's technology infrastructure upgrades, announced in early September, continued to attract thematic investment despite broader market consolidation trends.

Market participants observed that the index's performance aligned with its historical pattern during Q3 earnings season. , signaling improved liquidity conditions. However, regulatory developments in derivatives market structure remained a potential overhang for near-term volatility.

To run this back-test accurately I need to clarify a few points: 1. Market universe • Which exchange(s) should we draw the “top-500-by-volume” list from (e.g., all U.S. listed common stocks on NYSE + NASDAQ, specific country, etc.)? 2. Daily timing & prices • Are we buying at the same day’s close and selling at the next day’s close (close-to-close), or open-to-close, etc.? 3. Weighting & capital allocation • Equal-weight each of the 500 names, or weight by volume, market-cap, etc.? 4. Transaction costs & slippage • Should we include a commission or bid-ask spread assumption? If yes, what rate? 5. Tool limitation notice • The current back-test engine here evaluates one security at a time. To implement a dynamic 500-stock portfolio we can: a) approximate with a representative ETF/index if one fits your goal, or b) build a custom multi-asset simulation (requires an external data feed I can script but will take longer). Let me know your preferences on the above so I can set the back-test up correctly.