Investors Buy Large Volume of Call Options on Gorilla Technology Group (NASDAQ:GRRR)

Gorilla Technology Group Inc. (NASDAQ:GRRR) was the target of unusually large options trading activity on Monday. Traders acquired 7,663 call options on the stock. This is an increase of approximately 122% compared to the typical daily volume of 3,457 call options.

Analyst Upgrades and Downgrades

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

Gorilla Technology Group Price Performance

Shares of GRRR stock opened at $13.68 on Wednesday. The company has a current ratio of 1.72, a quick ratio of 1.72 and a debt-to-equity ratio of 0.08. The firm’s 50 day moving average is $10.03 and its 200-day moving average is $5.70. Gorilla Technology Group has a 1 year low of $2.09 and a 1 year high of $25.88.

Institutional Inflows and Outflows

A number of hedge funds have recently bought and sold shares of the company. Highbridge Capital Management LLC bought a new stake in Gorilla Technology Group during the 2nd quarter worth about $480,000. Vontobel Holding Ltd. acquired a new stake in Gorilla Technology Group in the third quarter worth $81,000. Finally, GSA Capital Partners LLP bought a new position in Gorilla Technology Group during the third quarter worth about $55,000. 1.33% of the stock is currently owned by institutional investors.

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.