The Hidden Danger of 'Safe' Algorithms in Financial Markets

Jan de Vries · 2026-09-27

When we think of financial risk, we often picture reckless traders or volatile stocks. But what if the real danger lies in algorithms designed to be safe? That's the provocative question raised by a recent article in The European Business Review. It's a topic that hits close to home for anyone involved in European startups and incorporation, where algorithms increasingly drive decisions. ### The Paradox of Safety Imagine a flock of sheep. Each sheep follows the one in front, and they all move together. It feels safe, right? But if the lead sheep walks off a cliff, the whole flock follows. That's exactly what can happen with algorithms that are programmed to be conservative. They all react to market signals in similar ways, and when something unexpected happens, they can amplify the problem instead of dampening it. - Herding behavior: Algorithms often use similar risk models, leading to synchronized actions. - Feedback loops: When many algorithms sell at once, prices drop, triggering more selling. - Lack of diversity: A monoculture of "safe" strategies can create fragility. ### Why This Matters for European Startups European startups are no strangers to algorithms. From fintech to logistics, algorithms optimize everything. But when these algorithms are too cautious, they might miss opportunities or, worse, contribute to systemic risk. For founders and investors, understanding this paradox is crucial. It's not just about avoiding risk; it's about avoiding the risk of being too safe. As Jan de Vries, an e-commerce consultant, puts it: "In the rush to automate, we sometimes forget that markets are human. Algorithms can't feel fear or greed, but they can mimic it in dangerous ways." ### The EU Inc Proposal: A Double-Edged Sword? The EU Inc proposal aims to simplify company incorporation across Europe, making it easier for startups to scale. On one hand, this could lead to more innovation and competition. On the other, it might accelerate the adoption of uniform algorithmic strategies, increasing the risk of herding. If every new startup uses the same off-the-shelf risk management tools, we could be building a house of cards. But it's not all doom and gloom. The proposal also opens doors for startups to develop more diverse and resilient algorithms. By fostering a culture of experimentation, Europe can lead the way in safe, yet innovative, financial technologies. ### What Can We Do? So, how do we prevent safe algorithms from becoming a systemic risk? Here are a few ideas: - Encourage diversity in algorithm design: Different approaches can act as a buffer against shocks. - Implement circuit breakers: These can pause trading when things get too wild. - Foster transparency: Regulators and companies should share data on algorithmic behavior. - Promote human oversight: Algorithms should assist, not replace, human judgment. Ultimately, it's about balance. Algorithms are tools, and like any tool, they can be used well or poorly. The key is to remember that safety isn't just about avoiding risk; it's about building resilience. As we navigate the evolving landscape of European startup incorporation, let's not lose sight of the bigger picture. The EU Inc proposal could be a game-changer, but only if we're smart about it. Let's embrace innovation while keeping a watchful eye on the hidden dangers of safe algorithms.