An infrastructure designed for the volume and speed of the market

Mercadona AI processes continuous streams of financial, sentiment and macroeconomic data using predictive models trained to identify regime changes before they are reflected in price. The objective is not to predict with absolute certainty, but to offer a probabilistic reading that supports the operator's decision.

The volatility analysis engine recalculates its estimates as new information arrives, and the minimal, low-latency architecture is designed so that recalibration reaches the dashboard in a matter of seconds, not minutes.

Predictive models: trained on historical series and live data to estimate movement probabilities, not certainties.
Volatility analysis: detection of regime changes in individual assets and correlations between markets.
Minimum latency: distributed processing architecture aimed at minimizing the time between the input data and the generated signal.

Mercadona AI: technical team reviewing financial data streams in the analysis center

The Daily Performance Report as a basis for credibility

Trust in an automated system is not built on promises, but rather on a verifiable record of what the system recommended and what actually occurred. That is why each recommendation is documented from the moment it is generated.

01

Automatic registration of each recommendation

The moment the model emits a signal, the system saves the time, the asset, the confidence level, and the quantitative reasoning behind it.
02

Track actual result

Each signal is contrasted with the subsequent market movement, without manual intervention, to prevent the record from being adjusted after the fact.
03

Daily report publication

At the end of each session, the user receives a summary with the complete history of signals emitted and their performance, also available for accumulated consultation.

Example of report structure

Daily Performance Report

Signals issued in the sessionComplete registration

Result per signalIndividual layout

Time and asset of each alerttimestamp

The report structure is generated automatically from the system log, without manual editing after each signal is issued.

Specific applications for active investment profiles

The same analysis engine is applied to three common situations in the daily operations of a trader or analyst.

Risk management

Reduction of exposure in times of high volatility

The system identifies abrupt changes in the implied and realized volatility of an asset, and signals when the risk level of a position departs from the user's usual parameters.

Strategic investment

Identifying opportunities in fragmented data

By combining financial, sentiment and macroeconomic data, the model detects correlations that would hardly be visible when reviewing each source separately.

Real-time alerts

Automation of routine monitoring

Configurable alerts replace constant manual review of screens, freeing up attention capacity for analysis and decision making.

Architecture, security and data sources

Relevant technical information for teams that need to integrate Mercadona AI into their own workflow or evaluate its suitability before adopting it.

API Connectivity

Documented REST API to consult signals, history and the daily performance report from your own systems, with frequency limits clearly specified by access level.

Security protocols

Encryption in transit and at rest, authentication using individual API keys, and separation of data environments by user account.

Data sources

Combination of financial market data, published macroeconomic indicators and sentiment analysis derived from news sources and public content.

Make decisions based on data, not impulses

Request access to the Mercadona AI dashboard to review the signals generated by the model and the history of daily reports before deciding whether to integrate it into your operation.

Start Analysis Now Consult frequently asked questions

Data intelligence applied to the optimization of your decisions