ML-informed Environmentally-minded Portfolios

Our Approach

 

We are different:

• Unlike other portfolios, we do not overweight certain companies (e.g., no stock >5% of portfolio)

​

• Unlike 97% of portfolio managers*, we use machine-learning

​

Our advantage:

• Our ML-informed tools find robust signals in Big Data. These models predict future performance for thousands of companies given data on market conditions, environmental factors, and financial fundamentals.

 

• We use these predictions to build portfolios. Our approach identifies investment opportunities in a complex market, where no single path to success exists and where indicators of performance can change over time and across sectors.

​

​

* source: https://www.cfainstitute.org/-/media/documents/survey/cfa_fintech_survey_2_web.ashx