|Bid||9.86 x 800|
|Ask||10.06 x 900|
|Day's range||9.95 - 10.18|
|52-week range||4.60 - 14.94|
|Beta (5Y monthly)||1.55|
|PE ratio (TTM)||37.74|
|Earnings date||20 Aug 2020|
|Forward dividend & yield||N/A (N/A)|
|1y target est||12.20|
Today the Norwegian browser maker Opera [NASDAQ: OPRA] becomes the first major browser to add built-in Twitter in the sidebar. In version 69 of the Opera browser for desktop, Twitter fans can get the best possible experience on their desktop computers. The Opera browser specializes in providing unique features not typically found in other browsers.
Opera GX, the world’s first gaming browser, is introducing new features including Discord support and a Hot tabs killer. With 1.3 billion PC gamers around the world and the gaming industry surpassing the movie and music business in revenue, Opera GX [NASDAQ: OPRA] remains the only PC browser designed with gamers’ needs in mind. Today, Opera GX is getting a major birthday update which introduces built-in Discord support, as well as the Hot Tabs Killer feature, which lets gamers see which tabs are overwhelming their computer and easily close them.
Opera (OPRA), one of the world’s leading browser providers and platforms in the field of integrated AI-driven digital content, today announced that its Opera News service now has more than 200 million monthly active users in May, a 28 percent increase year over year. The accelerating user growth for Opera News is mainly driven by three important factors: the expansion of Opera News Hub beyond Nigeria to Kenya, Ghana, Côte d’Ivoire, South Africa and Egypt; the launch of Opera News Lite, a downsized version of the Opera News application that enables people with new ways to access the Opera News service; and Opera News became a critical information source during the Coronavirus outbreak across both Africa and South Asia. Opera News is based on an AI platform which uses insights from Opera’s massive user base and relies on technologies including natural language processing, computer vision, and image understanding to process content, as well as machine learning technology to recommend personalized content to each individual user.