Getting AI/ ML Algorithms to compete for your funds
We curate strategies from several developers around the world. The selection is based on both real life performance and back-tested performance. Some strategies perform well in selected market cycles and others in different market cycles.
These strategies are continually competing for your funds based on the criteria of consistent performance. Strategies that consistently perform get a higher allocation. Ones that do not perform well start decaying and eventually get benched or even dropped.
This "Natural Selection" process further reduces the risk of the Portfolio.
Ongoing Evolution
Consider a sports team. The team performance is a result of a team effort. Sure, Individual players count, but a well balanced team consisting of players that complement each other will perform consistently
It is the same with our strategies. We select strategies based on their historical and back-tested performance
Their continuation in the team however depends on not just their ongoing performance, but also on how well they perform within the team of strategies.
Portfolios constantly evolve as a result and will continue to evolve.