Xiao-I Co. (NASDAQ:AIXI – Get Free Report) saw a large decrease in short interest in March. As of March 15th, there was short interest totalling 152,100 shares, a decrease of 45.0% from the February 28th total of 276,700 shares. Currently, 1.6% of the company’s shares are sold short. Based on an average daily trading volume, of 124,000 shares, the days-to-cover ratio is currently 1.2 days.
Institutional Investors Weigh In On Xiao-I
A hedge fund recently raised its stake in Xiao-I stock. Steward Partners Investment Advisory LLC grew its position in Xiao-I Co. (NASDAQ:AIXI – Free Report) by 729.4% in the 4th quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission (SEC). The firm owned 42,300 shares of the company’s stock after buying an additional 37,200 shares during the period. Steward Partners Investment Advisory LLC owned 0.44% of Xiao-I worth $244,000 as of its most recent SEC filing. Hedge funds and other institutional investors own 3.99% of the company’s stock.
Xiao-I Stock Down 5.8 %
Shares of AIXI opened at $3.90 on Friday. Xiao-I has a 52-week low of $2.06 and a 52-week high of $16.65. The stock has a fifty day simple moving average of $4.59 and a two-hundred day simple moving average of $5.14.
Xiao-I Company Profile
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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