Data intelligence applied to investments
Descontária combines backtesting with artificial intelligence and risk mitigation to support the next generation of investors in making more informed choices.
Panel with indicators of historical performance, volatility and strategy adherence, updated based on market data processed in real time.
How it works
The platform processes large volumes of market information to identify patterns that manual analysis tends not to capture with the same consistency.
Descontária models are trained with historical series of prices, volume and volatility, allowing correlations and cycles to be identified that guide the construction of strategies based on statistics, not assumptions.
New market data is continually incorporated into the models, allowing for recommendation adjustments when conditions change, without relying on periodic manual reviews.
Methodology
Each strategy goes through a structured historical validation process before being presented as a recommendation, with the aim of reducing dependence on decisions based solely on intuition.
Aggregation of historical series of prices, volume and macroeconomic indicators relevant to the analyzed asset.
Execution of thousands of simulations over different time windows to test the robustness of the strategy in different scenarios.
Calibration of strategy parameters according to volatility and drawdown metrics observed in simulations.
Consolidation of results into an objective recommendation, with historical performance indicators and associated risk level.
Applications
The same predictive models support different applications, from capital optimization in business operations to risk management in individual portfolios.
Allocation models that support treasury decisions and reduce uncertainty when defining short and medium term positions.
Analytical layer integrable with existing fintech products, delivering recommendations without requiring reconstruction of data infrastructure.
Continuous monitoring of exposure and volatility, with alerts when the portfolio deviates from the defined risk parameters.
About the platform
Descontária was born from the combination of data science and market discipline. The objective is not to promise returns, but to offer a more structured decision process, with historical evidence as a starting point.
The platform was designed for those who are starting to invest and seek to understand the rationale behind each recommendation, not just the final result.
Technical evidence
Technical indicators on the analysis infrastructure, presented without resorting to testimonials or return projections.
FAQ
Direct answers for those who are evaluating whether the platform is suitable for their profile and stage as an investor.
No. Descontária is a decision support tool based on historical data and statistical models. It does not eliminate the risk inherent to any investment, it only organizes information for more informed decisions.
No. Backtesting analyzes and simulations are applicable to different volumes of capital. The platform was structured to be accessible to those just starting their investment journey, including students and professionals at the beginning of their careers.
The models use historical market data, such as prices, volume and volatility indicators, from financial data sources widely used in the sector. The collection and treatment methodology is documented and auditable.
Next step
Request a demo to learn about the backtesting panel, strategy validation criteria and how data is presented before making any decision.
Request demo