Cadence Gains 0.20% on $0.41B Volume Ranking 313th in U.S. Liquidity Amid Market Volatility

Generated by AI AgentVolume Alerts
Wednesday, Oct 1, 2025 7:25 pm ET1min read
Aime RobotAime Summary

- Cadence Design Systems (CDNS) rose 0.20% on October 1, 2025, with $0.41B volume ranking 313th in U.S. liquidity.

- The stock's muted performance contrasted with broader market volatility, lacking immediate catalysts like earnings or sector news.

- Long-term focus on AI-driven design tools and semiconductor partnerships remains key, though short-term price drivers were absent.

- Back-testing a 500-stock portfolio faces challenges in simulating simultaneous trades, requiring customized modeling for accurate risk and performance metrics.

Cadence Design Systems (CDNS) closed October 1, 2025, with a 0.20% gain, trading on $0.41 billion in volume that ranked it 313th among U.S. stocks by liquidity. The chip design software provider’s muted performance contrasted with broader market volatility, as investors weighed upcoming earnings reports and macroeconomic data releases.

Market participants observed limited catalysts for the stock, with no significant earnings announcements or sector-specific news directly influencing Cadence’s trading pattern. The company’s recent strategic focus on AI-driven design tools and partnerships with semiconductor manufacturers remains a long-term narrative, though immediate price drivers appeared absent during the session.

Back-testing analysis for a hypothetical portfolio strategy highlights methodological considerations. Key parameters include selecting U.S.-listed common stocks, prioritizing dollar volume for ranking, and executing trades within a single trading day. Implementation challenges arise from simulating simultaneous positions across 500 tickers, requiring customized portfolio modeling to capture accurate performance metrics and risk exposure.

To accurately run this study, we need to pin down a few details and, importantly, decide how to implement a daily 500-stock portfolio in our back-test environment (the built-in engine natively handles one ticker at a time). Key points to confirm: universe composition, ranking rules, trade execution timelines, cost assumptions, and implementation frameworks. Once parameters align, the back-test will generate P&L curves and risk statistics for evaluation.

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