Author: Kathrin Güttges
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4 Wochen kostenlos testen: Die ARIVA-API für Realtime-Daten – jetzt ausprobieren
Vom 17. November bis 19. Dezember hast Du die Möglichkeit, unsere ARIVA-API vier Wochen lang kostenfrei zu testen. Melde Dich über unser Kontaktformular unkompliziert an!
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Facelift for the Frankfurt Stock Exchange – ARIVA accompanies the relaunch
The Frankfurt Stock Exchange shows itself in the new look. We are proud to have taken this step together with Deutsche Börse AG. Learn more here.
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Kieler Tech Talk in focus: A full success!
On 4.11.25, the Tech Talk, sponsored by ARIVA, was held at the COBL by opencampus.sh in Kiel on the topic of “KI-supported software development”. Learn more.
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Fintech meets innovation in Berlin!
An evening that shows once more: The future of the financial sector is digital and networked. Find out more!
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An evening full of encounters and awards in Frankfurt.
The award ceremony took place in Frankfurt on 30.10.25 – one of the most important industry events on structured securities and the certificate market in Germany.
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ARIVA widgets – Movement on each website
Financial data for touching: With the new ARIVA widgets, price developments, market trends and performance data can be displayed interactively and in real time. Learn more!
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When data meets expertise: ARIVA & NuWays
Precise, transparent and data-based – this is how modern financial communication works. What goal NuWays pursues and how ARIVA supports you here!
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Jessi and Olena in the question check!
Our key accounters pack up! A small question check for Olena Kundzich and Jessica Radke, both of whom have long been working at ARIVA. Find out more!
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Financial data that work. Attention: Success story.
The FinTech company wealthAPI relies on ARIVA to integrate data reliably, efficiently and scalable into its systems – and benefits several times. Read more!
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prodo – high-performance financial advertising with data competence
prodo is a powerful solution for targeted financial advertising. The tool enables financial products and content to be played in data-based, context-sensitive and real-time. Read more!