ASML Rises 0.47% as Trading Volume Dips 23.55% Ranking 91st in Liquidity

ASML closed 0.47% higher on September 19, 2025, with a trading volume of $2.25 billion, marking a 23.55% decline from the previous day’s activity and ranking 91st in market liquidity among listed equities. The stock’s performance followed reports of ongoing supply chain adjustments in its EUV lithography segment, which remain critical to semiconductor manufacturers’ capacity expansion plans. Analysts noted that while near-term demand visibility remains stable, long-term pricing pressures from customer cost-cutting measures could temper margins in 2026.

Recent operational updates highlighted ASML’s continued focus on optimizing production efficiency amid global chip industry consolidation. Management reiterated its commitment to maintaining a 25% operating margin target, despite industry-wide inventory corrections. The company’s collaboration with U.S. and EU governments on next-generation 3nm node technology has reinforced its strategic positioning in the high-end manufacturing equipment sector.

To build and run a daily-rebalanced “Top-500-by-volume” strategy we need to iron out a few practical details and be sure we have the correct inputs before launching the data pull and back-test engine. Could you please confirm / specify the following: 1. Stock universe • Is this meant to be all U.S. common stocks (NYSE + NASDAQ + ARCA)? • Should we exclude ETFs, ADRs, penny stocks, etc.? 2. Re-balance & holding convention • Buy at today’s close, sell at tomorrow’s close (close-to-close)? • Or buy at tomorrow’s open, sell at tomorrow’s close (overnight hold)? • Equal-weight each name at entry? 3. Benchmark / performance calculation • Would you like the portfolio’s cumulative return, daily return series, max drawdown, Sharpe, etc.? • Any transaction-cost assumption (e.g., 2 bp per side)? 4. Technical note • Our current single-ticker back-testing engine can’t natively hold 500 tickers at once. To approximate the strategy we can: • Construct an equal-weighted portfolio return series offline, then feed it into the engine as a “synthetic ticker,” or • Reduce the universe (e.g., top-50 or top-100) if that is still useful. Let me know your preferences and I’ll set up the data-retrieval plan and back-test accordingly.