Deutsche Börse Group has taken a step forward in digital market oversight by integrating social media monitoring into its Scila Surveillance platform.
The exchange has teamed up with German analytics firm Stockpulse, which specialises in AI-driven analysis of social media, to strengthen its ability to detect risks and potential manipulation in financial markets, claims IBS Intelligence.
The Scila platform has been in operation for more than a decade, supporting Deutsche Börse’s monitoring of cash and derivatives markets. By adding Stockpulse’s intelligence, it now incorporates insights from global social media and news channels, covering more than 70,000 equities and thousands of cryptocurrencies. This expanded scope is designed to improve the detection of fraudulent behaviour and market abuse linked to online activity, an area of growing concern for regulators worldwide.
Deutsche Börse is the first major exchange to deploy an institutional-grade solution that merges social media analytics with traditional surveillance tools. The addition of buzz metrics, sentiment analysis, and real-time news feeds is expected to allow surveillance teams to make faster and more informed decisions while responding proactively to emerging risks.
Scila CEO Mikko Andersson said, “The integration of social media monitoring into trading surveillance represents a natural evolution in market oversight. By combining leading market data analysis with social media intelligence, we provide clients with a more complete view of market dynamics and potential risks. This holistic approach is essential in today’s interconnected financial ecosystem, where information spreads instantaneously across multiple channels.”
Stockpulse CEO Dr. Stefan Nann added, “We’re excited to partner with Scila to bring institutional-grade social media analytics to the market surveillance community. Our AI-driven algorithms analyse millions of social media posts and news articles in near real-time, providing actionable intelligence that helps surveillance teams detect unusual patterns and potential market manipulation before they affect market integrity.”
The development reflects a broader trend in financial services towards harnessing AI and alternative data to tackle increasingly complex risk environments. Market surveillance teams are being challenged by the speed and scale of online information flows, making advanced tools critical for maintaining market stability and trust.
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