Medrantazgo combines military-grade encryption with real-time predictive data analytics to preserve your capital and anticipate risks before they materialize.
Data processing is not limited to describing the past. Identify emerging market patterns and allow you to act with room for reaction.
No conclusion of the system is more reliable than the data that originates it. Therefore, information protection is treated as critical infrastructure, not as an add-on.
Data is encrypted at source, during transit and at rest, under AES-256 protocols equivalent to those used in defense environments.
Each profile operates under minimum necessary permissions. Access to sensitive information is recorded and auditable.
The data processing processes comply with the Spanish and European regulatory framework applicable to investment and data protection services.
Each recommendation is linked to the data and parameters that originated it, allowing its subsequent review.
Storage systems operate with geographic redundancy to reduce the risk of service interruption.
Security protocols undergo recurring technical review to adapt to new identified threats.
The process remains legible at every stage. There is no "black box": each phase has a concrete and verifiable function.
The system collects market information, macroeconomic indicators and historical data from multiple sources, normalizing them into an analyzable format.
Models trained on long time series identify recurring patterns and calculate probabilities of future scenarios.
The resulting recommendations are presented with their quantitative justification, allowing an informed decision before any capital movement.
Each use case starts from a defined objective. The system translates that objective into analysis parameters and produces verifiable output.
Current composition of the portfolio and level of correlation between assets.
The model calculates aggregate exposure by sector, currency and asset class, pointing out non-obvious concentrations.
A revised distribution that reduces dependence on a limited number of common risk factors.
History of volatility of assets in portfolio and risk tolerance thresholds defined by the investor.
The system identifies assets whose recent volatility deviates from their historical pattern and simulates correction scenarios.
Position adjustments aimed at containing abrupt declines without completely giving up exposure to growth.
Investor's time horizon and preference between recurring income or capital appreciation.
The model compares instruments with similar performance profiles under different simulated market conditions.
A combination of assets adjusted to the time horizon, with a documented risk-return relationship.
Medrantazgo was born from the combination of two disciplines: large-scale data engineering and quantitative financial analysis. The result is a platform designed for those who prioritize the preservation of capital over speculation.
Each functionality is developed under the same criteria: no recommendation is presented without its database and calculation logic available for review.
Request access to a technical session where security protocols, the origin of the data and the logic of the recommendations are reviewed, with no commitment to contract.
Your data is processed in accordance with the GDPR. Check out our privacy notice and the conditions of service.