Xiao-I Co. (NASDAQ:AIXI) Short Interest Up 27.8% in January

Xiao-I Co. (NASDAQ:AIXIGet Free Report) was the recipient of a large increase in short interest in January. As of January 31st, there was short interest totalling 257,700 shares, an increase of 27.8% from the January 15th total of 201,600 shares. Based on an average daily volume of 137,800 shares, the short-interest ratio is currently 1.9 days.

Institutional Investors Weigh In On Xiao-I

An institutional investor recently raised its position in Xiao-I stock. Steward Partners Investment Advisory LLC lifted its holdings in Xiao-I Co. (NASDAQ:AIXIFree Report) by 729.4% during the fourth quarter, according to the company in its most recent Form 13F filing with the Securities & Exchange Commission. The institutional investor owned 42,300 shares of the company’s stock after purchasing an additional 37,200 shares during the quarter. Steward Partners Investment Advisory LLC owned 0.44% of Xiao-I worth $244,000 as of its most recent SEC filing. Institutional investors own 3.99% of the company’s stock.

Xiao-I Stock Performance

AIXI opened at $5.19 on Friday. The firm has a 50-day moving average price of $5.31. Xiao-I has a 1 year low of $2.06 and a 1 year high of $22.05.

About Xiao-I

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Xiao-I Corporation, through its subsidiary, Shanghai Xiao-i Robot Technology Co, Ltd., provides software services in the People’s Republic of China. It offers conversational AI platform that uses deep learning, data enhancement, active learning technologies for dialog management, context processing mechanisms, and driven by a learning system; knowledge fusion platform which integrates Q&A, documents, multimedia, information forms, business processes, knowledge graphs, and multimodal; intelligence voice platform to enhance intelligent speech solutions, realizing the macro processes of intelligent IVP, intelligent outbound calls, speech analysis, agent assistance, and human-computer interaction; and hyperautomation platform that integrates technologies, such as OCR, NLP, and visualized data mining and analysis that enables users to realize business and process automation.

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