Xiao-I Co. (NASDAQ:AIXI - Get Free Report) saw a large growth in short interest in October. As of October 31st, there was short interest totalling 189,600 shares, a growth of 84.6% from the October 15th total of 102,700 shares. Based on an average daily trading volume, of 230,000 shares, the short-interest ratio is presently 0.8 days.
Institutional Investors Weigh In On Xiao-I
An institutional investor recently bought a new position in Xiao-I stock. Murchinson Ltd. bought a new position in Xiao-I Co. (NASDAQ:AIXI - Free Report) during the first quarter, according to its most recent filing with the Securities and Exchange Commission. The fund bought 38,388 shares of the company's stock, valued at approximately $69,000. Murchinson Ltd. owned approximately 0.05% of Xiao-I at the end of the most recent reporting period. Hedge funds and other institutional investors own 3.99% of the company's stock.
Xiao-I Stock Up 3.0 %
Shares of Xiao-I stock traded up $0.16 during trading on Wednesday, hitting $5.55. The stock had a trading volume of 59,810 shares, compared to its average volume of 83,230. The firm's fifty day simple moving average is $5.08. Xiao-I has a fifty-two week low of $2.06 and a fifty-two week high of $24.66.
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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