Chart widget in detail: Flexible, intuitive, powerful

Our chart widget is designed to complex market developments quickly and understandably to present – for those who rely on transparent information. It seamlessly integrates into your existing website or applications and delivers your users exactly the data they need in real time or delayed. By easy to use you can select different periods by clicking, activate comparisons or customize chart types.

Whether as a component of Product details, an analysis area or to illustrate index profiles: The chart widget adapts to the design of your platform. It is responsive and performant – so it can be extended with additional functions if necessary.

Thanks to sophisticated usability and high-performance technology, the widget is also available high utilization stable and reliable. The data base comes directly from our real-time or EoD offer and thus provides consistent, current and resilient course information.

Would you like to learn more about the technical details or test the widget live? Then contact us here.

Selection of the trading venue: You determine which data your charts display!

With our chart widgets you have full control: You decide which course data base your visualizations use – whether realtime, delayed or EoD. This allows you tailored insights for your users:inside, according to your requirements.

Our interactive world map on the home page gives you an overview of our comprehensive data universe. The graphics show you all international trading venues, whose data we provide as Vendor – and you can integrate into your chart solutions. Whether Europe, North America or Asia: With ARIVA you are globally connected.

Our chart widgets provide predefined periods that meet the current analysis needs.

This selection allows users to: immediate overview of course developments. Whether short or long-term perspective: The most important periods are available directly. Market development is thus easily visible – clear, efficient. Ideal for those who Quickly capture and correctly classify financial data.