{"id":15833,"date":"2026-06-03T14:27:23","date_gmt":"2026-06-03T12:27:23","guid":{"rendered":"https:\/\/ariva.ag\/?p=15833"},"modified":"2026-07-08T16:25:25","modified_gmt":"2026-07-08T14:25:25","slug":"What-is-Market-Data-Infrastructure?","status":"publish","type":"post","link":"https:\/\/ariva.ag\/en\/What-is-Market-Data-Infrastructure?\/","title":{"rendered":"What is Market Data Infrastructure?"},"content":{"rendered":"
<\/div>
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\"ARIVA-Blog\"<\/figure>\n\n\n\n
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Why reliable financial data today decide on the success of digital financial platforms<\/strong><\/h2>

Whether online broker<\/span>s, stock exchange, banking app, financial portal or wealth management platform: Modern financial applications are based on a common basis: high quality financial market data<\/strong>.<\/p>

Users: Today, current stock exchange rates, complete product information, precise key figures and a presentation of financial instruments available at any time. At the same time, companies need to process millions of data sets daily and provide them in real time.<\/p>

For this to work, banks, broker<\/span>s, stock exchanges and fintechs need a powerful Market data infrastructure<\/strong>.<\/p>

It forms the technical backbone of modern financial markets and ensures that financial data are reliably collected, processed, updated and provided.<\/p>

What is Market Data Infrastructure?<\/strong><\/h1>

Market data infrastructure is understood to mean all technical systems, processes and data architectures necessary for the processing and provision<\/span> of financial market data. These include:<\/p>

    \n
  • Real-time market data<\/li>\n\n\n\n
  • Exchange rates<\/li>\n\n\n\n
  • Historical course dates<\/li>\n\n\n\n
  • Financial key figures<\/li>\n\n\n\n
  • Certificate master data<\/li>\n\n\n\n
  • Realtime indications<\/li>\n\n\n\n
  • Reference data<\/li>\n\n\n\n
  • Company data<\/li>\n\n\n\n
  • Corporate Actions<\/li>\n\n\n\n
  • structured product data<\/li>\n<\/ul>

    The market data infrastructure ensures that this information is delivered in high quality, with low latency and high availability in financial applications.<\/strong><\/p>

    Why is market data infrastructure so important?<\/strong> Financial markets are now fully data-driven. Even small delays, faulty data or inconsistent key figures can affect:<\/h1>
      \n
    • Commercial decisions<\/li>\n\n\n\n
    • Product comparisons<\/li>\n\n\n\n
    • Market analyses<\/li>\n\n\n\n
    • Customer portals<\/li>\n\n\n\n
    • digital financial products<\/li>\n<\/ul>

      have.<\/p>

      This is why banks, broker<\/span>s and stock exchanges invest considerable resources in the quality of their data supply. A professional market data infrastructure allows:<\/p>

      ‡ Real-time processing of financial market data<\/p>

      High data quality and consistency<\/p>

      Scalable data supply<\/p>

      High system availability<\/p>

      Reliable integration into digital applications<\/p>

      What data does a modern market data infrastructure process?<\/strong><\/h1>

      Many connect market data exclusively with stock exchange rates. In fact, a modern infrastructure processes significantly more.<\/p>

      Real-time market data<\/strong><\/h2>

      This includes:<\/p>

        \n
      • Stock prices<\/li>\n\n\n\n
      • ETF courses<\/li>\n\n\n\n
      • Fund data<\/li>\n\n\n\n
      • Index<\/span>es<\/li>\n\n\n\n
      • Foreign exchange rates<\/li>\n\n\n\n
      • Raw material prices<\/li>\n\n\n\n
      • Bond data<\/li>\n<\/ul>

        These data must be continuously updated and provided almost without delay.<\/p>

        Historical stock exchange data<\/strong><\/h2>

        Historical data is used for:<\/p>

          \n
        • Research<\/li>\n\n\n\n
        • Backtesting<\/li>\n\n\n\n
        • quantitative analyses<\/li>\n\n\n\n
        • Charting<\/li>\n\n\n\n
        • Regulatory reporting<\/li>\n<\/ul>

          They form the basis of many data-driven financial applications.<\/p>

          master files<\/strong><\/h2>

          Master data describe the characteristics of a financial instrument.<\/p>

          Examples:<\/p>

            \n
          • ISIN<\/span><\/li>\n\n\n\n
          • WKN<\/span><\/li>\n\n\n\n
          • Issued<\/li>\n\n\n\n
          • Product type<\/li>\n\n\n\n
          • Duration<\/span><\/span><\/li>\n\n\n\n
          • Basic value<\/li>\n<\/ul>

            They enable the unique identification and classification of securities.<\/p>

            Certificate master data<\/strong><\/h2>

            Structured products are particularly complex. In addition, it is necessary to process:<\/p>

              \n
            • Accessibility<\/li>\n\n\n\n
            • Caps<\/li>\n\n\n\n
            • Bonus levels<\/li>\n\n\n\n
            • Basic values<\/li>\n\n\n\n
            • Issuer information<\/li>\n\n\n\n
            • Product logics<\/li>\n<\/ul>

              The management and updating of this data is one of the most dema<\/span>nding tasks of modern market data infrastructures.<\/p>

              Financial key figures<\/strong><\/h2>

              Key figures enable the analysis and comparability of financial instruments. These include, for example,:<\/p>

                \n
              • Benefits<\/li>\n\n\n\n
              • Sideward yield<\/li>\n\n\n\n
              • Leverage<\/li>\n\n\n\n
              • Omega<\/li>\n\n\n\n
              • Delta<\/span><\/li>\n\n\n\n
              • volatility<\/li>\n<\/ul>

                Especially for certificates and lever products, these key figures are continuously recalculated.<\/p>

                Realtime indications<\/strong><\/h2>

                Real-time indications continuously deliver updated price indications for financial instruments and structured products. They play an important role in certificates, leverage products and out-of-the-board applications.<\/p>

                How does a market data infrastructure work?<\/strong><\/h1>

                The process can be easily divided into four steps.<\/p>

                1. Data collection<\/strong><\/h2>

                Market data are obtained from various sources:<\/p>

                  \n
                • Exchanges<\/li>\n\n\n\n
                • Trading venues<\/li>\n\n\n\n
                • Issuers<\/li>\n\n\n\n
                • Market Maker<\/span><\/li>\n\n\n\n
                • Financial data provider<\/li>\n<\/ul>

                  Two. Data validation<\/strong><\/h2>

                  The incoming information is checked and validated. The aim is a consistent database for all applications.<\/p>

                  3. Data processing<\/strong><\/h2>

                  Next:<\/p>

                    \n
                  • Main data enriched<\/li>\n\n\n\n
                  • Kennzahlen berechnet<\/li>\n\n\n\n
                  • Produktlogiken verarbeitet<\/li>\n\n\n\n
                  • historische Daten archiviert<\/li>\n<\/ul>

                    4. Datenbereitstellung<\/strong><\/h2>

                    Die Daten werden über:<\/p>

                      \n
                    • Finanzdaten<\/span>-API<\/span><\/span>s<\/li>\n\n\n\n
                    • Datenfeed<\/span>s<\/li>\n\n\n\n
                    • WebSockets<\/li>\n\n\n\n
                    • White-Label-Lösungen<\/span><\/li>\n<\/ul>

                      an Banken, Broker<\/span>, Börse<\/span>n und Finanzplattformen ausgeliefert.<\/p>

                      Beispiel: Market-Data-Infrastruktur<\/span> für eine Broker<\/span>age-Plattform<\/strong><\/h1>

                      Eine moderne Broker<\/span>age-Plattform benötigt gleichzeitig:<\/p>

                        \n
                      • Echtzeit-Kurs<\/span><\/span>daten<\/span><\/span><\/li>\n\n\n\n
                      • Watchlists<\/li>\n\n\n\n
                      • Markt<\/span>übersichten<\/li>\n\n\n\n
                      • historische Kurs<\/span><\/span>daten<\/span><\/span><\/li>\n\n\n\n
                      • Zertifikate-Stammdaten<\/span><\/span><\/li>\n\n\n\n
                      • Finanzkennzahlen<\/span><\/li>\n\n\n\n
                      • Produktinformationen<\/li>\n<\/ul>

                        Im Hintergrund verarbeitet die Market-Data-Infrastruktur<\/span> kontinuierlich Millionen von Datensätzen, damit Nutzer:innen jederzeit aktuelle Informationen erhalten. Ohne diese Infrastruktur wäre ein stabiler Betrieb nicht möglich.<\/p>

                        Welche Unternehmen benötigen Market-Data-Infrastruktur<\/span>?<\/strong><\/h1>

                        Banken<\/strong><\/h2>
                          \n
                        • Online-Banking<\/li>\n\n\n\n
                        • Broker<\/span>age<\/li>\n\n\n\n
                        • Anlageberatung<\/li>\n\n\n\n
                        • Vermögensverwaltung<\/li>\n<\/ul>

                          Broker<\/span><\/strong><\/h2>
                            \n
                          • Handelsplattformen<\/li>\n\n\n\n
                          • Realtime-Charts<\/li>\n\n\n\n
                          • Markt<\/span>übersichten<\/li>\n\n\n\n
                          • Produktvergleichssysteme<\/li>\n<\/ul>

                            Börse<\/span>n<\/strong><\/h2>
                              \n
                            • Datenversorgung<\/li>\n\n\n\n
                            • Markt<\/span>überwachung<\/li>\n\n\n\n
                            • Produktdarstellung<\/li>\n\n\n\n
                            • Informationsdienste<\/li>\n<\/ul>

                              Finanzportale<\/strong>\/Börse<\/span>nportale<\/strong><\/h2>
                                \n
                              • Kurs<\/span><\/span>seiten<\/li>\n\n\n\n
                              • Markt<\/span>analysen<\/li>\n\n\n\n
                              • Nachrichtenportale<\/li>\n\n\n\n
                              • Vergleichsplattformen<\/li>\n<\/ul>

                                Fintechs<\/strong><\/h2>
                                  \n
                                • Investment-Apps<\/li>\n\n\n\n
                                • Robo-Advisors<\/li>\n\n\n\n
                                • Analyseplattformen<\/li>\n\n\n\n
                                • digitale Finanzprodukte<\/li>\n<\/ul>

                                  Welche Herausforder<\/span>ungen gibt es?<\/strong><\/h1>

                                  Eine professionelle Market-Data-Infrastruktur<\/span> muss:<\/p>

                                    \n
                                  • Millionen Datensätze verarbeiten<\/li>\n\n\n\n
                                  • hohe Aktualisierungsfrequenzen unterstützen<\/li>\n\n\n\n
                                  • geringe Latenzen gewährleisten<\/li>\n\n\n\n
                                  • hohe Verfügbarkeit bieten<\/li>\n\n\n\n
                                  • konsistente Datenqualität sicherstellen<\/li>\n<\/ul>

                                    Gerade bei Echtzeit-Markt<\/span>daten<\/span><\/span> und strukturierten Produkten steigen die Anforder<\/span>ungen kontinuierlich.<\/p>

                                    Welche Rolle spielen Finanzdaten<\/span>-API<\/span><\/span>s?<\/strong><\/h1>

                                    Finanzdaten<\/span>-API<\/span><\/span>s sind häufig der sichtbare Teil einer Market-Data-Infrastruktur<\/span>. Während die Infrastruktur Daten erfasst, verarbeitet und verwaltet, ermöglichen API<\/span>s den Zugriff auf:<\/p>

                                      \n
                                    • Echtzeit-Markt<\/span>daten<\/span><\/span><\/li>\n\n\n\n
                                    • historische Börse<\/span>ndaten<\/span><\/li>\n\n\n\n
                                    • Finanzkennzahlen<\/span><\/li>\n\n\n\n
                                    • Zertifikate-Stammdaten<\/span><\/span><\/li>\n\n\n\n
                                    • Realtime-Indikationen<\/span><\/li>\n<\/ul>

                                      für Websites, Apps und digitale Finanzplattformen.<\/p>

                                      Wie ARIVA Market-Data-Infrastruktur<\/span> bereitstellt<\/strong><\/h1>

                                      Seit 1998 entwickelt und betreibt ARIVA Market-Data-Lösungen für Banken, Broker<\/span>, Börse<\/span>n, Fintechs und Finanzplattformen. Die Infrastruktur von ARIVA verarbeitet Daten zu über einer Million Finanzinstrument<\/span>en und umfasst:<\/p>

                                        \n
                                      • Echtzeit-Markt<\/span>daten<\/span><\/span><\/li>\n\n\n\n
                                      • Finanzdaten<\/span>-Feeds<\/li>\n\n\n\n
                                      • Finanzdaten<\/span>-API<\/span><\/span>s<\/li>\n\n\n\n
                                      • historische Börse<\/span>ndaten<\/span><\/li>\n\n\n\n
                                      • Zertifikate-Stammdaten<\/span><\/span><\/li>\n\n\n\n
                                      • Finanzkennzahlen<\/span><\/li>\n\n\n\n
                                      • Realtime-Indikationen<\/span><\/li>\n<\/ul>

                                        Durch skalierbare Systeme und professionelle Datenversorgung unterstützt ARIVA Unternehmen bei der Entwicklung moderner Finanzanwendungen.<\/strong><\/p>

                                        Market-Data-Infrastruktur<\/span> ist das Fundament digitaler Finanzmärkte<\/strong><\/h1>

                                        Ohne Market-Data-Infrastruktur<\/span> wären moderne Finanzplattformen, Broker<\/span>-Anwendungen und digitale Investmentlösungen nicht möglich.<\/p>

                                        Sie sorgt dafür, dass:<\/p>

                                          \n
                                        • Echtzeit-Markt<\/span>daten<\/span><\/span><\/li>\n\n\n\n
                                        • historische Börse<\/span>ndaten<\/span><\/li>\n\n\n\n
                                        • Finanzkennzahlen<\/span><\/li>\n\n\n\n
                                        • Zertifikate-Stammdaten<\/span><\/span><\/li>\n\n\n\n
                                        • Realtime-Indikationen<\/span><\/li>\n<\/ul>

                                          zuverlässig verarbeitet und bereitgestellt werden.<\/p>

                                          Für Banken, Broker<\/span>, Börse<\/span>n und Fintechs ist eine leistungsfähige Market-Data-Infrastruktur<\/span> daher nicht nur technische Voraussetzung, sondern ein entscheidender Erfolgsfaktor für digitale Finanzprodukte.<\/strong><\/p>

                                          FAQ<\/strong><\/h2>

                                          Was ist Market-Data-Infrastruktur<\/span>?<\/strong><\/h3>

                                          Market-Data-Infrastruktur<\/span> umfasst alle Systeme und Prozesse zur Erfassung, Verarbeitung und Bereitstellung von Finanzmarkt<\/span>daten<\/span><\/span>.<\/p>

                                          Welche Daten werden verarbeitet?<\/strong><\/h3>

                                          Echtzeit-Markt<\/span>daten<\/span><\/span>, historische Börse<\/span>ndaten<\/span>, Stammdaten<\/span>, Zertifikate-Stammdaten<\/span><\/span>, Finanzkennzahlen<\/span>, Realtime-Indikationen<\/span> und weitere Finanzinformationen.<\/p>

                                          Wer benötigt Market-Data-Infrastruktur<\/span>?<\/strong><\/h3>

                                          Banken, Broker<\/span>, Börse<\/span>n, Finanzportale, Fintechs und digitale Finanzplattformen.<\/p>

                                          Was ist der Unterschied zwischen einer Finanzdaten<\/span>-API<\/span><\/span> und einer Market-Data-Infrastruktur<\/span>?<\/strong><\/h3>

                                          Die Market-Data-Infrastruktur<\/span> verarbeitet und verwaltet Finanzdaten<\/span>. Eine Finanzdaten<\/span>-API<\/span><\/span> ermöglicht den Zugriff auf diese Daten über standardisierte Schnittstellen.<\/p>

                                          Warum ist Datenqualität bei Finanzmarkt<\/span>daten<\/span><\/span> so wichtig?<\/strong><\/h3>

                                          Weil fehlerhafte oder veraltete Daten zu falschen Analysen, inkorrekten Produktdarstellungen und einer schlechten Nutzer:innenerfahrung führen können.<\/p>

                                          <\/div>","protected":false},"excerpt":{"rendered":"

                                          Why reliable financial data today decide on the success of digital financial platforms and what one understands as a market data infrastructure can be found in this blog. Learn more!<\/p>\n","protected":false},"author":2,"featured_media":15140,"comment_status":"closed","ping_status":"open","sticky":false,"template":"singlePlain","format":"standard","meta":{"content-type":"","footnotes":""},"categories":[1,16,11],"tags":[],"class_list":["post-15833","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allgemein","category-ariva-blog","category-ariva-news"],"yoast_head":"\nWas ist Market-Data-Infrastruktur? | ARIVA: Finanzdaten sind unser Business<\/title>\n<meta name=\"description\" content=\"Was ist Market-Data-Infrastruktur? 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