Coeur Mining Slides to 413th in U.S. Equity Rankings as $300M Volume Reflects Sector Pressures

Generated by AI AgentAinvest Volume Radar
Wednesday, Sep 17, 2025 6:47 pm ET1min read
CDE--
Aime RobotAime Summary

- Coeur Mining (CDE) fell 1.66% with $300M volume, ranking 413th in U.S. equity liquidity amid sector pressures.

- Analysts linked the decline to gold price volatility and operational updates, though no major corporate events were reported.

- A volume-weighted basket back-testing framework requires defining market universe parameters, rebalancing rules, and transaction cost assumptions.

- Implementation challenges include generating daily top-500 stock lists and validating composite returns within technical constraints.

- Alternative ETF-based approaches introduce approximation errors, with execution dependent on confirmed methodology and data scope.

Coeur Mining (CDE) closed on Sept. , . equities. The move reflects sector-specific pressures amid mixed macroeconomic signals. Analysts noted the stock’s sensitivity to gold price volatility and operational updates from the company’s key mines, though no major corporate developments were disclosed in the reporting period. Trading liquidity remained constrained compared to peers, .

The back-testing framework for evaluating a volume-weighted basket strategy requires explicit parameters. A critical consideration is the market universe—whether to include U.S.-listed common stocks on NYSE and NASDAQ while excluding ETFs, ADRs, and preferred shares. Rebalancing assumptions must also be defined, such as equal-weight allocation and transaction cost treatment. Current limitations in the back-testing engine necessitate either generating daily composite returns for the 500-stock basket or using a proxy index, both requiring additional data validation steps before execution.

, , . Alternative approaches using high-volume factor ETFs are possible but introduce approximation errors. Final execution depends on confirming the universe scope and preferred methodology for handling multi-asset baskets within the system’s technical constraints.

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