Using machine learning we model the companies and ETFs in your portfolio, run advanced stochastic simulations, and then provide an allocation recommendation.
On average, improves the geometric return of a portfolio > 50 bps compared to an equally distributed allocation.
Has been tested to be statistically significant with p < < 0.01
The portfolio can contain most ETFs and Companies.
It can recommend ETFs that best complement your current portfolio.
Proposed allocation is growth-optimal.
Currently in Private Beta. Get in contact to help shape the product!