AI Transportation Acquisition Corp (NASDAQ:AITR – Get Free Report) was the target of a large decrease in short interest during the month of February. As of February 15th, there was short interest totalling 900 shares, a decrease of 18.2% from the January 31st total of 1,100 shares. Based on an average trading volume of 10,200 shares, the short-interest ratio is currently 0.1 days. Currently, 0.0% of the shares of the stock are sold short.
AI Transportation Acquisition Trading Up 0.0 %
Shares of AITR opened at $10.96 on Wednesday. The stock has a fifty day moving average price of $10.83 and a two-hundred day moving average price of $10.65. AI Transportation Acquisition has a 52-week low of $10.25 and a 52-week high of $10.95.
Hedge Funds Weigh In On AI Transportation Acquisition
A number of large investors have recently modified their holdings of the stock. Yakira Capital Management Inc. acquired a new stake in AI Transportation Acquisition during the 4th quarter worth $376,000. Spartan Fund Management Inc. acquired a new position in AI Transportation Acquisition in the fourth quarter valued at about $504,000. Berkley W R Corp bought a new stake in shares of AI Transportation Acquisition in the third quarter worth about $1,080,000. Toronto Dominion Bank acquired a new stake in shares of AI Transportation Acquisition during the fourth quarter worth about $1,604,000. Finally, Westchester Capital Management LLC bought a new position in shares of AI Transportation Acquisition during the 3rd quarter valued at about $1,860,000. 81.89% of the stock is currently owned by institutional investors and hedge funds.
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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