A family's financial data rarely lives in one place

A checking account in a bank, a pension plan in another entity, positions in two or three brokers and, with increasing frequency, crypto assets distributed among several exchanges. Each platform displays its own panel, with its own format and its own update frequency.

Aptledgeratom Connect these sources through direct integrations and normalize the data into a single model. The result is a consolidated leaderboard that is updated along with each source, without manual exports or periodic reconciliations.

Analysis Engine Technical Capabilities

Three components work in a coordinated manner on the already consolidated data, without manual intervention between stages.

Predictive modeling

The system projects portfolio evolution scenarios based on historical series and macroeconomic variables, and updates the projections each time new data arrives from connected entities.

Real-time risk assessment

Each position is weighted according to volatility, correlation with the rest of the portfolio and currency exposure, generating an aggregate risk indicator that is recalculated with each recorded movement.

Unified Portfolio View

Banks, brokers and exchanges are represented under the same asset taxonomy, which allows profitability and cost to be compared between entities without manually normalizing the data.

Designed for the family economy, not only for professional managers

Most financial analysis tools are designed for institutional portfolios with a single custodian. Aptledgeratom starts from a different assumption: a middle-income family usually distributes its savings among several entities over the years, without a single monitoring criterion.

The platform consolidates this dispersion into a common data model and applies the same predictive engine to all assets, regardless of the number of accounts or exchanges involved.

How each recommendation is built

The process follows three sequential phases, with data traceable at each step for review.

Data ingestion

The integrations collect balances, movements and operations of each entity connected through encrypted connections, and normalize them to a common scheme of assets and currencies.

Pattern recognition

The models identify correlations between assets, risk concentration and deviations from the target allocation defined by the user in the portfolio configuration.

Optimization output

The system translates detected patterns into concrete reassignment recommendations, along with supporting data justification, available for review before any changes are made.

Data security and transparency

Encryption standards

Connections with banks, brokers and exchanges are established using end-to-end encrypted protocols. Data at rest is stored under AES-256 encryption.

Data sovereignty

The information remains hosted in infrastructure located in the European Union. It is not shared with third parties for commercial purposes and can be exported or deleted at any time.

Regulatory compliance

The processing of personal data complies with the General Data Protection Regulation (GDPR) and the Spanish regulations applicable to financial analysis services.

Consolidate your scattered financial positions into a single, analyzable dashboard