Building an AI ecosystem for smarter investing

Over the last two years, Swissquote has built an AI ecosystem to further its mission of democratising finance and empowering clients. Rather than a single flagship AI feature, we designed a series of complementary tools fully integrated into the client experience to help them cut through noise, understand markets faster and stay inspired. Today, this ecosystem is anchored on three pillars: News Sentiment, the AI Assistant, and the AI Daily Digest. 

Each tool serves a different moment in the investing journey, but all three share the same goal: to put advanced data and technology at the service of simple, human-centric experiences.

Investors and traders are exposed to an enormous amount of data – news, prices, flows, behaviours – while time and attention are limited. We needed to turn this complexity into something useful. By combining big data analytics, natural language processing and our in-house expertise, we wanted to transform information overload into actionable insight, while freeing our clients to focus on what they can do best: human intuition.

The goal was not to replace human judgement, but to support it with better tools, faster monitoring and more precise signals. Throughout these projects, confidentiality, data security and regulatory expectations dictate the speed and scope of innovation, ensuring that AI remains firmly embedded in Swissquote’s risk and governance framework.

The first visible milestone came in late 2024 with the launch of News Sentiment in the Inspiration section of our platform. The tool analyses thousands of articles from leading providers such as Reuters, AWP and dpa-AFX and computes sentiment scores over the last 24 hours or 7 days. To keep it intuitive, sentiment is presented through five concrete views: buzz and mentions, Swiss sentiment, most traded, most visited, and most added to watchlists. In a single place, clients can see what the market is talking about, how it is talking about it and how Swissquote investors are reacting – something that would be extremely difficult and time-consuming to reconstruct manually.

Soon after, we launched the SQ Chatbot, our AI Assistant, as a smarter front door to Swissquote. Integrated across the website and Help Centre, it is trained on our public web content, products and a curated Customer Care knowledge base. It provides instant, 24/7 answers to the most common questions about our services and account features, while streamlining incoming requests so that our agents can dedicate more time to complex cases. When it reaches the limits of its knowledge, clients are seamlessly redirected to a human agent. This hybrid model ensures both speed and quality and allows us to scale client service as our business grows.

Finally, in late 2025, we rolled out the AI Daily Digest for all clients, on both the web platform and the mobile app. This tool gives each investor a concise, personalised briefing on what matters to them today, directly inside their Swissquote platform, without having to search across multiple, sometimes less trustworthy, sources. It analyses a large volume of market data and matches it with the client’s profile, behaviour, portfolio composition, watchlists and preferences. It then surfaces the most relevant market movers, news and context for that specific client. Every Daily Digest is unique: for active traders, it is a source of inspiration and idea generation; for long-term investors, it serves as a simple way to stay informed and confident about their positions.

AI is a concrete expression of Swissquote’s ambition to lead innovation in digital investing through client empowerment. We do not treat it as a buzzword or side experiment, but as a practical toolbox to scale, personalise and improve our services while staying firmly anchored in our responsibilities as a regulated bank. By embedding AI into key touchpoints, we create long-term value for clients and shareholders: better-informed decisions, more efficient operations and a platform that can grow in sophistication without adding complexity for the user.

This approach results from close collaboration between Product Strategy, Data Science, Software Engineering, Customer Care and others. Our iterative process always starts with a clear problem AI can solve, then focuses on personalisation and relevance. It is a continuous improvement loop, fuelled by client feedback. This is how we see the future of AI at Swissquote: pragmatic, collaborative, human-centric, transparent and always serving the client and empowering their investing journey.