Predictive Modeling
The business's financial data feeds models that project allocation scenarios based on historical series and market variables. The result is a return estimate with a confidence interval, not a fixed promise.
Porto Valor applies predictive modeling to your business's financial data and indicates, based on continuous analysis, where idle cash can generate returns. Designed for those who manage the company and don't have time to become a data analyst.
The performance curve is updated at each analysis cycle, allowing you to monitor the evolution of allocated capital without relying on manual reports or parallel spreadsheets.
Running a small business already takes up most of your day. When there is excess cash, the decision of where to allocate it is usually made with outdated data or based on intuition, because there is no time — or structure — to act as a financial analyst.
Each layer solves one step of the problem: understanding the present, projecting the future and containing the risk before it materializes.
The business's financial data feeds models that project allocation scenarios based on historical series and market variables. The result is a return estimate with a confidence interval, not a fixed promise.
Relevant changes in cash flow or market conditions generate a new reading on the same day. The previous recommendation is updated instead of remaining obsolete in the drawer.
Before suggesting an allocation, the system evaluates exposure, liquidity and concentration. Allocations with risk above the defined profile are flagged before execution, not after.
Each step of the analysis generates a traceable record. You receive a daily report that shows you exactly what changed, why it changed, and what it means for your allocated capital.
Cash information, accounts and positions are consolidated daily, without relying on manual entry into spreadsheets.
The predictive engine recalculates scenarios and cross-references them with the risk parameters defined for your business.
An allocation suggestion is generated, with the justification of the data that supports it.
You receive a summary of the previous day, with performance, changes in scenario and the history of decisions already made.
No black box. The report shows the numbers that led to each recommendation, allowing you to audit the logic before deciding whether or not to follow the suggestion.
Illustrative examples of how continuous analysis translates into decisions on idle capital.
A company in the service sector kept a significant part of its cash in a current account due to a lack of time to evaluate alternatives. The analysis identified a recurring surplus pattern throughout the month and suggested a short-term allocation compatible with the operation's liquidity needs.
Box stopped with destination defined in less than 24 hoursAn individual investor concentrated resources in a single asset class. The risk report pointed out the concentration and the predictive modeling simulated the distribution in assets with lower correlation, maintaining the risk profile defined by the client.
Concentrated exposure flagged before allocationData is encrypted in transit and at rest, following security practices applicable to sensitive financial information. Internal access is segmented by role.
Yes, the analysis depends on connecting to the business's financial data sources. The integration process is conducted with the team responsible for the account before the operation begins.
Yes. Data processing follows the principles of the General Data Protection Law, including a defined purpose and the possibility of requesting deletion by the holder.