TSMC's Oct 1 Trading Volume Hits $4.18 Billion 21st Most Liquid as Shares Jump 3.29%

Generated by AI AgentAinvest Volume Radar
Wednesday, Oct 1, 2025 7:53 pm ET1min read
TSM--
Aime RobotAime Summary

- TSMC's Oct 1 trading volume surged to $4.18 billion, an 80.49% rise from prior day, ranking 21st in market liquidity.

- Share price jumped 3.29% as investors reacted to accelerated investments in 3nm/2nm chipmaking technologies.

- Analysts linked growth to strategic alignment with high-performance computing demands and operational efficiency improvements.

- Back-testing framework requires confirmation on security universe, pricing conventions, and portfolio weighting methods.

On October 1, 2025, TSMCTSM-- (TSM) saw a surge in trading activity with a volume of $4.18 billion, marking an 80.49% increase from the previous day and ranking it 21st in market liquidity. The semiconductor giant’s share price rose 3.29%, reflecting strong investor interest amid strategic developments in its production roadmap.

Recent updates highlighted TSMC’s commitment to expanding its advanced manufacturing capabilities, including accelerated investments in 3nm and 2nm process technologies. Analysts noted that these initiatives align with long-term client demands for high-performance computing solutions, reinforcing confidence in the company’s competitive positioning. Additionally, supply chain adjustments and capacity optimization measures were cited as factors supporting operational efficiency.

For back-testing purposes, the following parameters require confirmation to ensure accuracy: 1. **Universe**: Scope of securities (e.g., U.S.-listed equities, exclusion of microcaps/ETFs). 2. **Pricing Convention**: Close-to-close vs. close-to-open execution, and assumptions on transaction costs. 3. **Portfolio Construction**: Equal-weighting or dollar-volume weighting for the 500-stock basket, with daily rebalancing protocols. 4. **Implementation**: Creation of a synthetic index via historical data aggregation, requiring automated data retrieval and composite return series generation.

Final execution depends on clarifying these details to establish a reproducible framework. Once confirmed, the back-test will generate a comprehensive analysis of the strategy’s historical performance.

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