¿Cómo se gestiona la seguridad de los datos conectados?

Las conexiones a los exchanges se realizan mediante claves de API con permisos de solo lectura, cuando el exchange lo permite. Método REC no solicita permisos de retirada de fondos y almacena las credenciales cifradas, separadas de los datos de análisis.

¿Qué puede y qué no puede hacer el modelo de IA?

El modelo identifica patrones y desviaciones estadísticas a partir de datos históricos, pero no predice eventos futuros con certeza. Sus señales son apoyo a la decisión, no una indicación de compra o venta, y deben interpretarse junto con el criterio propio del usuario.

¿Con qué exchanges es compatible la plataforma?

La compatibilidad depende de la disponibilidad de API pública por parte de cada exchange. La lista de integraciones activas se actualiza a medida que se validan nuevas conexiones y se publica dentro del propio panel.

Método REC, cryptoasset analysis dashboard with aggregated data from multiple exchanges

Quantitative analysis platform

A single dashboard to interpret your positions on various exchanges

Método REC aggregates data from different exchange platforms into a single view and applies predictive models to estimate the risk of each position before you make a decision.

Access to the platform

The context

Data fragmentation causes analysis fatigue

Those who operate on several exchanges regularly review between four and six different tabs to reconstruct a complete image of their portfolio. Each platform presents risk with its own criteria and updates prices at different rates.

The result is not excess of information, but absence of a common criterion to compare it. Decisions end up being based on the platform that is open at that moment, not on the actual position set.

Método REC solves this fragmentation by connecting accounts through API and normalizing the data under a single reference model, so that each asset is measured by the same yardstick.

Exposure added by exchange

Exch. A

Exch. b

Exch. c

Exch. d

Simplified representation of the consolidated view offered by the panel, prior to normalization for volatility.

The REC method

Three layers of processing before any recommendation

The name summarizes the order of the process: real-time data, contrast with statistical evidence and calculation of the resulting risk. None of the three layers replaces the others.

Real-time integration layer

A unified API layer connects to supported exchanges and synchronizes balances, open orders and recent movements under a single data structure, avoiding format mismatches between platforms.

Evidence-based predictive modeling

The models filter out the noise inherent to short-term volatility and contrast price movements with comparable historical series, instead of reacting to each specific variation.

Risk Score Calculation

Each position receives a numerical score derived from its deviation from the expected behavior, which allows assets of different nature to be compared under the same criteria.

Unified view

A panel designed to be read, not to be looked at askance

The design avoids the "quote tape" format that dominates most tools in the industry. Instead, prioritize typographic hierarchy and white space so that each figure is understood without the need to expand it.

Consolidated balance by asset class, no duplicates between exchanges
Risk score by position, updated with each data cycle
History of deviations from expected behavior
Record of alerts generated by the model, with their justification

Método REC, view of the team and work environment behind the unified analytics dashboard

Practical application

Designed for entry profiles, not for intensive operations

The following two scenarios describe common usage among college students who manage modest portfolios and prioritize preserving capital over maximizing short-term returns.

Portfolio optimization across asset classes

The dashboard compares the proportion of cryptoassets against other positions declared by the user and indicates when that proportion deviates from the initially configured risk profile.

Example: Suggested rebalancing following an unplanned increase in exposure to a single asset.

Risk mitigation through statistical alerts

Instead of fixed price threshold alerts, the system notifies when an asset deviates significantly from its historical volatility range, reducing irrelevant notifications.

Example: alerts based on statistical deviation from the 30-day moving average.

Transparency

Questions about security, data and model limits

This section answers what is often asked before connecting a live account to any external analysis tool.

How is the security of connected data managed?

Connections to exchanges are made using API keys with read-only permissions, when allowed by the exchange. Método REC does not request withdrawal permissions and stores credentials encrypted, separate from analysis data.

What can and can't the AI model do?

The model identifies statistical patterns and deviations from historical data, but does not predict future events with certainty. Its signals are decision support, not an indication to buy or sell, and must be interpreted in conjunction with the user's own judgment.

What exchanges is the platform compatible with?

Compatibility depends on the availability of public API by each exchange. The list of active integrations is updated as new connections are validated and is published within the dashboard itself.

Make decisions based on data, not impulses

Connect your accounts, review the consolidated risk score, and decide with a single guideline instead of multiple open tabs.

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