Gorilla Technology Group Sees Unusually Large Options Volume (NASDAQ:GRRR)

Gorilla Technology Group Inc. (NASDAQ:GRRR) was the target of unusually large options trading on Wednesday. Stock investors purchased 12,285 call options on the company. This is an increase of 1,152% compared to the typical daily volume of 981 call options.

Gorilla Technology Group Stock Performance

Shares of GRRR stock opened at $11.12 on Thursday. Gorilla Technology Group has a fifty-two week low of $2.09 and a fifty-two week high of $13.00. The company has a debt-to-equity ratio of 0.08, a quick ratio of 1.72 and a current ratio of 1.72. The stock’s 50-day simple moving average is $5.24 and its 200-day simple moving average is $3.93.

Institutional Trading of Gorilla Technology Group

Several large investors have recently bought and sold shares of GRRR. Vontobel Holding Ltd. acquired a new stake in shares of Gorilla Technology Group during the third quarter worth $81,000. Highbridge Capital Management LLC purchased a new position in Gorilla Technology Group in the 2nd quarter worth $480,000. Finally, GSA Capital Partners LLP acquired a new stake in Gorilla Technology Group during the 3rd quarter worth about $55,000. Hedge funds and other institutional investors own 1.33% of the company’s stock.

Analysts Set New Price Targets

Separately, Northland Securities raised their price objective on Gorilla Technology Group from $9.00 to $13.00 and gave the stock an “outperform” rating in a research report on Monday, December 9th.

Gorilla Technology Group Company Profile

Gorilla Technology Group Inc provides video intelligence, Internet of Things (IoT) security, and edge content management hardware, software, and services in the Asia Pacific region. The company operates through three segments: Video IoT, Security Convergence, and Other segments. It offers intelligent video analytics AI models for various verticals, such as behavioral analytics, people/face recognition, vehicle analysis, object recognition, and business intelligence that can scan video for patterns and distinguish specific items using AI algorithms and metadata.