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On September 25, 2025, monday.com (MNDY) closed at a 2.41% decline with $0.24 billion in trading volume, ranking 458th in market activity for the day. The stock's performance was influenced by mixed signals from recent operational updates and market dynamics affecting its sector. Analysts noted that the decline aligned with broader market volatility but was also attributed to specific developments tied to the company's strategic initiatives.
Recent reports highlighted adjustments in monday.com's product roadmap, including delayed timelines for AI integration in its project management tools. While the company emphasized long-term innovation, short-term execution risks dampened investor confidence. Additionally, regulatory scrutiny over data privacy compliance in key markets added near-term uncertainty, prompting a cautious stance among institutional holders.
Market participants observed that monday.com's valuation multiples remained elevated relative to peers despite the recent pullback. The stock's liquidity profile, however, showed resilience as average daily turnover exceeded 100-day averages. Short-interest data indicated moderate bearish positioning, though no significant hedging activity was reported in the options market.
To run this back-test rigorously I need to pin down a few practical details: 1. Stock universe • Do you want all U.S.–listed common stocks (NYSE + NASDAQ), or a narrower group (e.g., S&P 1500 constituents, Russell 3000, etc.)? 2. Execution price & timing • Should the portfolio be formed at the next day’s open (buy at the next open, sell at that day’s close), or buy at today’s close and exit at tomorrow’s close? – Common default: “rank on today’s close, buy at next day’s open, exit at next day’s close.” 3. Transaction costs / slippage • Should we factor in trading costs (commission + slippage)? If so, please specify a round-trip cost assumption (e.g., 5 bp per side). 4. Rebalance size • Equal-weight the 500 names each day (default) or weight by their dollar volume / liquidity? 5. Benchmark (optional) • If you’d like to see excess return or information ratio, let me know which benchmark to compare against (e.g., SPY). Once I have these details I can generate the data-retrieval plan and run the back-test.

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