T-Mobile Slips 0.20% as Trading Volume Plunges 33.68% to $610M Ranking 147th in Market Activity

Generated by AI AgentAinvest Volume Radar
Friday, Sep 26, 2025 7:13 pm ET1min read
TMUS--
Aime RobotAime Summary

- T-Mobile US fell 0.20% on Sept 26, 2025, with trading volume plunging 33.68% to $610M, ranking 147th in market activity.

- Reduced liquidity signals lower investor engagement, though volatility remains within typical ranges amid broader market caution before key economic data releases.

- Strategic backtesting requires precise parameters: market universe (U.S. stocks), volume metrics (dollar volume), execution timing (close-to-close), and zero-cost assumptions by default.

- Custom adjustments for global securities, liquidity rankings, or cost structures must be specified to align with strategy frameworks.

T-Mobile US (TMUS) traded lower by 0.20% on September 26, 2025, as trading volume dropped 33.68% to $0.61 billion, ranking 147th in market activity. The decline in liquidity highlights reduced investor engagement, though the stock remains within its typical volatility range. Analysts note the move reflects broader market caution ahead of key economic data releases later in the month.

Strategic backtesting for TMUSTMUS-- requires precise parameters to ensure reliability. Key considerations include defining the market universe (e.g., U.S.-listed stocks), volume calculation method (dollar volume vs. share count), execution timing (close-to-close vs. open-to-close), and transaction cost assumptions. Default settings assume U.S. equities, dollar volume rankings, one-day holding periods, and zero trading costs. Custom adjustments are available upon request.

For a representative backtest, clarification is needed on whether to include global securities or limit the universe to NYSE/NASDAQ/AMEX. Volume metrics must specify liquidity ranking conventions, and execution timing should align with the investor’s strategy (e.g., avoiding overnight gaps). Cost structures, including slippage or fixed basis points, also require definition to refine results.

If default parameters suffice—U.S. stocks, dollar volume, close-to-close execution, and zero costs—the backtest can proceed. Otherwise, adjustments should be specified prior to implementation to ensure alignment with the intended strategy framework.

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