At Alquant we focus on creating effective financial products using quantitative methods and artificial intelligence. To help us doing that, we follow a set of principles that we believe are key to achieve a great performance in the long term.

Dynamic

With constantly changing market conditions, static investment approaches have become overpowered by adaptive investment algorithms. By constantly analysing the financial markets, the risk exposure is dynamically and automatically adapted to the prevailing market conditions.

Data-Driven

Traditional asset management relies heavily on subjective decisions. This might lead to irrational conclusions, especially during market turbulences, with potential severe financial consequences. By using quantitative methods relying on objective data and statistical analyses, the decisions are rational and not biased by emotions.

Disciplined

Investment strategies relying entirely on humans imply a low level of automation leading to potential inconsistencies and implementation errors. The use of automated algorithms is allowing to bypass those issues by ensuring a strict and systematic implementation.

Downside-Protected

Traditional asset managers mainly focus on returns rather than risk management. However, risk management is crucial as big losses are hard to recover from (e.g. a loss of 50% requires a gain of 100% to recover). Quantitative methods are leveraged to recognize risky situations, reducing short-term downside and thus increasing long-term performance.

Check out those principles in action in our products displayed on our platform!

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