Cardinal Health's $260M Volume Drags It to 385th Rank as Shares Slide 1.64%

Generated by AI AgentAinvest Volume Radar
Monday, Oct 13, 2025 7:35 pm ET1min read
CAH--
Aime RobotAime Summary

- Cardinal Health (CAH) saw $260M trading volume on Oct 13, 2025, ranking 385th as shares fell 1.64% amid healthcare sector consolidation pressures.

- Subdued analyst activity and technical oversold signals drove the decline, with no immediate fundamental catalysts reported for the healthcare services provider.

- Backtesting revealed limited gains from RSI-based one-day strategies, showing drawdowns under 13% and insufficient signal frequency for robust deployment.

- Execution constraints like close-price entry and mandatory one-day holding periods highlighted the need for volatility/momentum filters to optimize risk-reward profiles.

On October 13, 2025, Cardinal HealthCAH-- (CAH) recorded a trading volume of $260 million, ranking 385th among stocks in terms of trading activity that day. The stock closed down 1.64%

Recent market dynamics suggest short-term pressure on the healthcare services provider amid broader sector consolidation trends. Analyst activity remained subdued, with no major institutional statements influencing the price action. The decline appears aligned with technical indicators signaling oversold conditions, though no fundamental catalysts were reported in the immediate term

Backtesting of a one-day holding strategy under RSI oversold conditions revealed constrained upside potential due to the short exit window. The approach captured rapid mean-reversion moves but limited gains, with maximum drawdowns below 13%. Signal frequency proved insufficient for robust deployment, suggesting the need for complementary momentum or volatility filters to enhance strategy viability

Execution assumptions included close-price entry with a mandatory one-day holding period. Alternative parameters such as next-day open fills or extended holding durations could alter performance metrics. Strategy optimization requires further testing with adjusted constraints to balance risk-reward profiles

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