Our history
Established in 2017, Evovest has grown and strived to innovate investment management.
The company was built with the goal to automate investment decisions with a scientific approach.
The development of an investment process that uses a combination of machine learning in
conjunction with the best practices in portfolio management. Discover the evolution of
the company and the investment process down below.
Corporation
2022
December
- We are growing our team. Vanessa is in charge of the marketing department and sales development
strategies
June
- We welcome Tamara Close as our new independent Board Member who helps us with our ESG integration
March
- Evovest is officially a signatory to the United Nations Principles for Responsible Investments
January
- We achieved a 3 year track record
2021
September
- Team expansion and new advisory board functions
June
- Evovest reached 40M USD in AUM
March
- Launch of the strategy with the QEMP
2020
September
- First institutional mandate with the selection of our global equity strategy for the Quebec Emerging
Manager Program (QEMP)
January
- Establishment of an independent chairman of the board with Michel Tremblay
2019
September
- Start of our first institutional due diligence process with an established service provider
January
- Launch of the Evovest Global Equity Fund in partnership with Majestic Asset Management
2018
December
June
- Entrepreneurship grant from Fondation Montreal Inc
April
January
- Regulatory approval to operate as a portfolio manager
2017
Investment process
2022
June
- Implementation of innovative model selection
March
2021
May
- Deployment of a proprietary neural decisions trees algorithm
March
- Risk modelisation updated by using a new distance based-measure
January
- ESG integration to our investment process via Truvalue labs
2020
June
- Migration to daily data with weekly rebalancing
January
- Risk modelisation based on risk factor
2019
March
- Initial development of Evotrees, an open-sourced and Julia based gradient boosted trees library
January
- Basic risk control addition for sector and beta control
2018
October
- Database reassessment and selection of S&P Capital data
May
- Design of our Evolutive Learning Test (ELT) that overcome most biases in quantitative finance
January
- R&D process with monthly data and machine learning algorithms