Marazúñi: financial data analysis dashboard
Predictive analysis applied to family finances

Financial decisions backed by verifiable data, not intuition

Marazúñi processes market variables in real time and generates daily reports that explain, in clear language, how your portfolio is evolving and why the model recommends each adjustment.

Report preview
Portfolio summary — current day
Equity exposure42%
Estimated risk (model)Moderate
Variation from opening+0.6%
Last update4 min ago
Marazúñi: Analysis of complex financial data represented on screen
The problem of data overload

Markets generate more signals than a person can interpret without technical support

Interest rates, inflation, sector volatility and currency movements are constantly changing. For a family that manages its savings without professional tools, this amount of information is difficult to organize, and decisions are usually made under pressure or in reaction to specific headlines.

Marazúñi's predictive analytics engine processes these variables continuously and translates them into concrete recommendations, replacing emotional reaction with a structured review of data.

Technical infrastructure

Three mechanisms that support each recommendation

Each function described below corresponds to a specific data process, not a generic performance promise.

01

Predictive analysis

The models identify historical patterns in price series, interest rates and sectoral behavior to estimate probable short- and medium-term scenarios. Each projection is accompanied by a confidence margin calculated on verifiable data, not a single figure.

02

Risk mitigation engine

The system evaluates the portfolio's exposure to different market scenarios and proposes diversification adjustments to reduce concentration in individual assets, prioritizing stability over specific profitability.

03

Real-time tracking

Market data is continuously updated during trading hours, allowing relevant variations in the portfolio to be detected before the close of trading and reflected in the corresponding report.

Methodology and daily reports

Every figure in the report can be traced back to its origin

The transparency of the process is what distinguishes Marazúñi from a generic recommendation: the user sees what data came in, how it was processed, and what output the model generated.

Daily report 14:00 CET
Diversified portfolioStable
Fixed income+0.2%
Variable income+0.8%
Estimated riskModerate-low
Data sourceRegulated markets

Each report includes the calculation methodology applied and the data sources used, so that the user can verify the origin of each figure before making a decision.

How each report is built

  • 01

    Data collection

    Data from regulated markets and the current composition of the user's portfolio are incorporated.

  • 02

    Processing by the predictive model

    The engine analyzes correlations and volatility to estimate the probable behavior of each asset.

  • 03

    Report generation

    The results are translated into clear language, with the figures and their technical justification.

  • 04

    Review in user panel

    The report is available every day, with a history that can be consulted to compare previous periods.

Application by financial scenario

The same infrastructure, adjusted to different objectives

Select a scenario to see how the analysis is guided based on the time horizon and the level of risk tolerated.

Retirement planning

The model works with a multi-decade horizon, prioritizing capital preservation over aggressive growth as the target date approaches. The projections are recalculated every day based on the real evolution of the market, not on a static simulation set at the beginning.

Optimization logic applied

The allocation between fixed and variable income is adjusted progressively, reducing exposure to volatile assets as the remaining time until estimated retirement shortens.

Savings for education

As this is a target with a known deadline, the system calculates the capital required and periodically compares actual progress against the original plan, noting deviations in the daily report where appropriate.

Optimization logic applied

Stability is favored over maximum performance, since a goal with a fixed date tolerates less volatility than one without a defined time frame.

Asset diversification

The risk mitigation engine identifies excessive concentrations in a sector, currency or asset class, and proposes alternatives within the user's declared risk profile.

Optimization logic applied

The recommendations are based on historical correlations between assets, seeking to reduce joint exposure to the same market risk factor.

Frequently asked questions

Most frequently consulted technical and security issues

How is my financial data protected?

Data is stored in encrypted form and access to the user panel is restricted through individual authentication. Marazúñi does not share portfolio data with third parties outside of the processing of the service itself.

How accurate are predictive models?

No predictive model guarantees future results. Each projection is presented along with a confidence margin calculated on historical data, and the daily report allows previous estimates to be compared with actual market behavior.

How does the subscription model work?

Access is organized through a periodic subscription with no mandatory permanence. Details of each plan, including feature limits, are displayed in full before registration is confirmed.

Can I cancel the service at any time?

Yes. Cancellation can be requested from the user panel and will no longer apply from the next billing period, without additional penalty.

Start building data-driven financial tracking

No permanence commitments. Cancellation is available at any time from the user panel.

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