Returns ASA Quant
Quote data as of close: 06/23/2022
Use the scroll wheel to zoom in and display more detailed information in the chart
ASA Quant aims to obtain returns with low correlation with the market and a good risk-return ratio using models based on Big Data and Artificial Intelligence techniques to identify opportunities in the different markets in which it operates. The fund works with two main strategies: one with a lower turnover portfolio, which seeks to select companies with greater upward asymmetry and without directional market risk; and another that seeks to identify the best trends in the market.
Alessandro del DragoPortfolio Manager | ASA Quant
Alessandro del Drago graduated in economics at IBMEC and holds a master's degree from INSPER. With stints at Bank Boston and ABN, he was chief economist at Kinea and Mauá. In 2014, Alessandro joined Itaú BBA, where he implemented algorithmic trading strategies with great success. At ASA Investments, he is the manager of the ASA Quant fund.
The ASA QUANT has differentials, some of which are listed below. Be part of the fund managed with the ASA experience.
Robust investment process, with tested models in different market situations
Resource management based on the systematization of good practices
Ability to operate simultaneously with multiple strategies with different assets and time horizons
Download the documentation referring to the ASA QUANT.