Alibaba's Stock Plummets 2.22% Amid 37.5% Volume Drop to $3.04 Billion Ranking 26th in Turnover

Generated by AI AgentAinvest Volume Radar
Thursday, Sep 18, 2025 8:09 pm ET1min read
Aime RobotAime Summary

- Alibaba Group's stock fell 2.22% on Sept. 18 with a 37.5% drop in trading volume to $3.04 billion, ranking 26th in market turnover.

- The decline was driven by broader market corrections and regulatory uncertainty over e-commerce and cloud infrastructure scrutiny in China's tech sector.

- Analysts highlighted sensitivity to macroeconomic signals and cautious regulatory approaches, while reduced liquidity amplified volatility as institutions shifted to defensive sectors.

- Short-term technical indicators signaled potential further declines below 140 HKD, though long-term holders remain confident in restructuring and overseas expansion.

. , ranking 26th in market turnover. The decline came amid a broader market correction and regulatory uncertainty in China's tech sector. Key developments included renewed scrutiny of e-commerce platform operations and delayed updates on cloud infrastructure expansion plans. Analysts noted that the stock's performance remained sensitive to macroeconomic signals as policymakers signaled cautious regulatory approaches for the remainder of the year.

Market participants observed that the stock's volatility was amplified by reduced liquidity compared to recent weeks. Institutional trading activity showed a shift toward defensive positions in financials and utilities, with tech names experiencing outflows. , though long-term holders maintained confidence in the company's restructuring progress and overseas expansion initiatives.

To back-test a , the following parameters are required: (1) Daily volume data for all stocks from Jan. 3, 2022, to present; (2) Selection of top 500 by volume each day with close/open execution; (3) Position liquidation at next-day close/open. Current system constraints limit data retrieval to single-ticker queries, necessitating either universe reduction (e.g., S&P 500 subset) or alternative aggregation methods. Clarification is needed on execution timing and risk controls before implementing the back-test.

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