Portfolio composed by assets with high liquidity.
Few operations, less money spent on commissions.
Diversified investments with low correlation.
High profitability with great return per risk ratio.
Risk mitigation strategy adjusted to market.
Low market correlation.
How It Works
Our AI analyses hundreds of stocks to find the ones with better growth potential and build a diversified low-correlation portfolio. In addition, we employ adaptive risk-mitigation strategies.
The average portfolio size
‣ Machine Learning
‣ Portfolio Optimization
‣ Adaptive Risk Management
Our technology is based on Machine Learning models build with years of historical data. Our AI is trained on hundreds of inputs, from stock price series to macroeconomic market variables and news sentiment analysis.
The strategy is able to find assets with high gain probability, which are used to build a low risk portfolio. In addition, our system detects changes to market regimes and adjust risk mitigation strategies accordingly.
Scientific Investment Approach
The amount of market and stock data available is many times above human analysis capacity. We employ Quantitative and Machine Learning methods capable of using this data to learn relevant patterns and indicators for investments. In addition, the models constantly check new data, adapting themselves to changes on the market.
Our systematic approach and data driven decisions
provides robustness and prevents emotion fulled mistakes that even experienced managers are subjected to. Human supervision over the system is employed to ensure that its behavior remains within the expected boundaries.
All our methods are subjected to a strict testing procedure. We use historical data to simulate our past performance. In addition, we also simulate diverse
market scenarios to determine the strategy expected response even on extreme and unprecedented situations.
Unlike many quantitative strategies, we do not employ High Frequency Trading (HFT). We instead focus on medium-term (swing trade), higher gains transactions. This way, we keep transactions costs low and do not rely on extremely low communication times.