AI Transportation Acquisition Corp (NASDAQ:AITR – Get Free Report) saw a large decline in short interest in the month of February. As of February 28th, there was short interest totalling 700 shares, a decline of 22.2% from the February 13th total of 900 shares. Based on an average trading volume of 8,400 shares, the days-to-cover ratio is currently 0.1 days. Approximately 0.0% of the shares of the company are sold short.
AI Transportation Acquisition Price Performance
AI Transportation Acquisition stock opened at $10.96 on Wednesday. AI Transportation Acquisition has a 12-month low of $10.27 and a 12-month high of $10.96. The firm has a 50 day moving average of $10.87 and a 200 day moving average of $10.69.
Institutional Trading of AI Transportation Acquisition
Hedge funds and other institutional investors have recently modified their holdings of the company. Yakira Capital Management Inc. bought a new position in AI Transportation Acquisition in the 4th quarter worth $376,000. Spartan Fund Management Inc. bought a new stake in AI Transportation Acquisition during the fourth quarter valued at about $504,000. Berkley W R Corp purchased a new position in shares of AI Transportation Acquisition in the third quarter valued at about $1,080,000. Toronto Dominion Bank bought a new position in shares of AI Transportation Acquisition in the fourth quarter worth about $1,604,000. Finally, Westchester Capital Management LLC purchased a new stake in shares of AI Transportation Acquisition during the third quarter worth about $1,860,000. 81.89% of the stock is owned by hedge funds and other institutional investors.
About AI Transportation Acquisition
AI Transportation Acquisition Corp does not have significant operations. The company focuses on effecting a merger, share exchange, asset acquisition, share purchase, reorganization, or similar business combination with one or more businesses or entities. It intends to focus on businesses in the transportation field, including logistics, new energy vehicles, smart parking, on-board chips and AI algorithms, automotive services, and related areas of intelligent transportation.
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