Bristol Traded $640M 165th in Volume as BMY Dips 1.67% Amid Market Consolidation

Generated by AI AgentAinvest Volume Radar
Wednesday, Sep 24, 2025 7:22 pm ET1min read
BMY--
Aime RobotAime Summary

- Bristol traded $640M on 9/24/2025, ranking 165th in volume while BMY fell 1.67% amid market consolidation.

- Analysts attribute the performance to pre-priced earnings reports and limited sector catalysts limiting short-term directional moves.

- A cross-sectional strategy implementation requires defining stock universe criteria (e.g., S&P 500) and weighting methodologies (equal/market-cap) to shape risk profiles.

- Daily portfolio reconstruction using 2022-2025 volume data aims to optimize back-test results through iterative adjustments to universe parameters and weighting rules.

On September 24, 2025, Bristol recorded a trading volume of $0.64 billion, ranking 165th among all stocks traded that day. Meanwhile, Bristol-Myers SquibbBMY-- (BMY) declined by 1.67%. The stock's performance reflected broader market dynamics, with limited catalysts emerging in the sector. Analysts noted that the firm’s recent earnings report had already been priced into the market, leaving little room for directional shifts in the short term.

Strategic implementation of a cross-sectional approach requires precise definitions to ensure alignment with investment objectives. Key considerations include the selection criteria for the stock universe and the method for portfolio weighting. Options for the universe range from all U.S. common stocks to a curated list such as S&P 500 constituents. Weighting methodologies can vary, with equal-weighting and market-cap-based approaches being the most common. These parameters directly influence the portfolio’s risk profile and liquidity management.

Execution of the strategy involves reconstructing a 500-stock portfolio daily using historical volume data from January 3, 2022, to the present. This process requires systematic tracking of daily trading volumes for each stock in the defined universe. Subsequent analysis of the portfolio’s returns and risk statistics will provide insights into its effectiveness under varying market conditions. Final adjustments to the universe and weighting rules are necessary to optimize the back-test results.

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