Using Machine Learning for
Portfolio Allocation Optimisation

Let us help you increase your investment returns

Key Features

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!

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