Using Machine Learning for
Portfolio Allocation Optimisation
Let us help you increase your investment returns
See how it works
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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WideAlpha Optimisation Service DEMO
Companies or ETF's separated by commas
We will send you the optimisation report to your email address. If you would like a passcode to try the service please get in