Short Interest in Xiao-I Co. (NASDAQ:AIXI) Declines By 60.1%

Xiao-I Co. (NASDAQ:AIXI) saw a large drop in short interest in the month of October. As of October 15th, there was short interest totalling 102,700 shares, a drop of 60.1% from the September 30th total of 257,200 shares. Based on an average daily trading volume, of 201,100 shares, the short-interest ratio is currently 0.5 days.

Xiao-I Stock Down 0.6 %

NASDAQ AIXI traded down $0.03 on Friday, reaching $5.02. The company’s stock had a trading volume of 84,550 shares, compared to its average volume of 77,733. Xiao-I has a 52 week low of $2.06 and a 52 week high of $24.66. The company’s 50-day moving average price is $4.92.

Institutional Investors Weigh In On Xiao-I

A hedge fund recently bought a new stake in Xiao-I stock. Murchinson Ltd. bought a new position in shares of Xiao-I Co. (NASDAQ:AIXI) in the first quarter, according to the company in its most recent 13F filing with the Securities and Exchange Commission. The firm bought 38,388 shares of the company’s stock, valued at approximately $69,000. Murchinson Ltd. owned about 0.05% of Xiao-I as of its most recent filing with the Securities and Exchange Commission. Hedge funds and other institutional investors own 3.99% of the company’s stock.

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.