For the performance of our algorithms we calculate a performance fee based on positive alpha. We participate in the positive outperformance above the agreed benchmark and high watermark with a percentage fee, but the majority of the alpha remains with you.
We take alpha seriously and earn if our algorithms add value for you. This is also reflected in our values.
In order to understand how markets behave, we use modern technologies for empirical analysis of large amounts of data (Monte Carlo simulation, machine learning, etc.). Backtests over decades back should give us a reliable basis for our decisions and come as close as possible to reality.
We must make social commitment and environmental protection economically attractive. Only if we are profitable will we successfully change the world. We need more Alpha for Impact.
