Sertana Druvex processes large volumes of market data and translates it into concrete recommendations for Argentine SMEs, so that each liquidity or investment decision is based on historical evidence and not intuition.
Explore StrategiesIn the Argentine context, immobilized cash loses real value month by month. Many SMEs postpone investment decisions because manual analysis of rates, exchange rates and financial instruments requires time that they do not have.
Local market volatility changes conditions more frequently than a spreadsheet can update. The result is a gap between the information available and the decision that is actually made.
We do not start from isolated projections. Each strategy is validated against historical information and undergoes defined risk controls before reaching the recommendation phase.
Each model is tested on market data series from different economic cycles, including periods of high currency volatility, before being released for production use.
Market variables—rates, exchange rates, sector indicators—are updated continuously, so that the recommendation reflects current conditions and not outdated data.
The models incorporate exposure limits and diversification criteria defined in advance, so that no recommendation exceeds the tolerance parameters configured by the company.
The system assists the person in charge of the company; It does not replace your judgment. Each recommendation is subject to human review and approval before being executed.
The company's financial information sources - accounts, cash flows, current instruments - are integrated through structured connections, without the need to migrate existing systems.
The models process that information together with market data to identify performance opportunities compatible with the risk profile defined by the company.
A limited set of recommendations is presented, with their historical support, so that the business owner can decide the final execution with knowledge of the technical support behind each option.
A company with idle current account balances receives short-term placement alternatives in accordance with its need for operational liquidity, evaluated against its fund flow history.
Before allocating capital to a regional expansion, the model contrasts macroeconomic and sector variables to size the financial risk of the operation.
A private investor with concentrated positions in a few instruments obtains a correlation analysis that identifies points of overexposure and rebalancing alternatives.
Connected data is stored under encryption in transit and at rest, and is used exclusively to generate analytics for the corresponding account. They are not shared with third parties without explicit consent, in line with local personal data protection regulations.
Every predictive model has limits: backtesting validates past behavior, it does not guarantee future results. That is why each recommendation includes the historical period used for its validation and the margin of error observed in the corresponding tests.
The connection is made on existing accounting and banking records, without the need to replace the current management software. The initial configuration process is carried out accompanied by the Sertana Druvex technical team.
An initial consultation allows you to review the available data structure and define if the Sertana Druvex model is applicable to your company's risk profile.