AI Transportation Acquisition Corp (NASDAQ:AITR – Get Free Report) was the recipient of a large increase in short interest during the month of December. As of December 31st, there was short interest totalling 200 shares, an increase of 100.0% from the December 15th total of 100 shares. Based on an average daily trading volume, of 34,900 shares, the short-interest ratio is currently 0.0 days.
Institutional Trading of AI Transportation Acquisition
Hedge funds and other institutional investors have recently added to or reduced their stakes in the business. Berkley W R Corp bought a new position in shares of AI Transportation Acquisition in the third quarter worth about $1,080,000. Westchester Capital Management LLC bought a new stake in AI Transportation Acquisition during the 3rd quarter worth approximately $1,860,000. Shaolin Capital Management LLC purchased a new position in AI Transportation Acquisition during the second quarter valued at approximately $2,637,000. Finally, Wolverine Asset Management LLC increased its stake in shares of AI Transportation Acquisition by 53.4% in the third quarter. Wolverine Asset Management LLC now owns 362,670 shares of the company’s stock worth $3,801,000 after purchasing an additional 126,322 shares in the last quarter. 81.89% of the stock is owned by hedge funds and other institutional investors.
AI Transportation Acquisition Stock Performance
AI Transportation Acquisition stock opened at $10.78 on Tuesday. The business has a 50-day simple moving average of $10.67 and a two-hundred day simple moving average of $10.53. AI Transportation Acquisition has a 52-week low of $10.19 and a 52-week high of $10.80.
AI Transportation Acquisition Company Profile
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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