Financial Data Intelligence
Zorevanta GPT processes streams of market information in real time and converts dispersed data volumes into actionable recommendations, reducing the margin of error inherent in manual analysis.
GDPR and MiFID II complianceThe problem
Financial markets generate more information than any human team can process within the time horizon in which that information remains relevant. For a trader or analyst, this translates into decisions made with incomplete or already outdated data.
The usual consequence is not no analysis, but late analysis: a signal detected after the market has already incorporated it into the price. Zorevanta GPT addresses this time lag through models that continuously process and correlate data.
Our approach
Zorevanta GPT is built on the premise that artificial intelligence should expand the financial professional's analytical capacity, not replace their judgment. The system orders, correlates and prioritizes information so that the final decision continues to correspond to those who know the market context and their portfolio strategy.
Each recommendation generated includes the factors that support it, so that the user can verify the reasoning before acting on it.
Analysis engine
The Zorevanta GPT engine combines time series of prices, volume and macroeconomic variables with the aim of identifying recurring patterns before they become evident in the market. The updating of the models is continuous: each new data received adjusts the projections without the need for manual intervention.
Processing
Ingest and correlate multiple market data sources simultaneously, without volume bottlenecks.
Update
Models are recalibrated continuously as new information arrives, rather than in predefined fixed cycles.
Traceability
Each recommendation is documented with the variables that originated it, allowing a subsequent audit of the reasoning.
Security and compliance
All information transmitted and stored by Zorevanta GPT is protected by military-grade encryption, both in transit and at rest. Data access is managed through multi-factor authentication and role-segmented permissions.
Simplified representation of an encrypted data stream within the Zorevanta GPT infrastructure.
Zorevanta GPT operates in accordance with the General Data Protection Regulation (GDPR) and maintains practices aligned with the MiFID II requirements applicable to the processing of financial data in the European Union. User information is not shared with third parties outside the service without a legal basis that justifies it.
Practical applications
The same analysis engine adapts to very different time horizons and capital volumes.
Intraday trading
Receive signals derived from the crossing of volume, volatility and relevant news within the same session, prioritized by model confidence level.
Institutional management
Consolidates portfolio exposures and simulates the impact of macroeconomic scenarios on different asset classes in aggregate.
Fundamental analysis
It cross-references fundamental indicators with historical series to contrast valuation hypotheses before issuing an internal recommendation.
Methodology
The incorporation of the system is proposed as a gradual process, so that the user maintains control over which data sources they connect and in what order.
Market data providers and execution platforms already used by the user are linked, without replacing their current infrastructure.
The system adjusts its parameters according to the time horizon, risk tolerance and relevant assets for each user profile.
Recommendations are delivered with the reasoning and variables that support them, available for review at any time.
The model constantly readjusts itself as market conditions change, without requiring periodic manual reconfiguration.
Zorevanta GPT is designed to connect through standard programming interfaces with market data providers and execution platforms common in the sector, avoiding duplicating workflows already established by the user.
Frequently asked questions
Data is encrypted both in transit and at rest using military-grade protocols, and access is restricted by multi-factor authentication and role-segmented permissions.
Data processing is aligned with the GDPR and the transparency and traceability requirements established by MiFID II for the use of automated systems in financial analysis.
The system integrates with market data providers and execution platforms using standard programming interfaces, without the need to replace existing tools.
Every recommendation is presented along with the variables that support it. The decision to act on it always corresponds to the user.
The system explicitly flags when model confidence levels fall below typical thresholds, so the user can adjust their judgment accordingly.
Can't find the answer you're looking for? See the full FAQ documentation.
Next step
Requesting access does not imply any commitment to permanence. The objective of this first stage is to review with you which data sources you connect and what level of integration is appropriate for your operation.
No payment card is required to request access. The information provided is treated in accordance with the GDPR and is not shared with third parties without legal basis.