Trade Vector AI

Platform & Software Support

Dashboard, Analytics & Integration FAQ

How does the Trade Vector AI dashboard handle data visualization for L1 and L2 ecosystems?

The platform architecture normalizes data from multiple layer-1 and layer-2 protocols into a unified schema. This allows research desks to compare market structure metrics across different blockchain environments without manual data aggregation. Visualizations are rendered client-side for performance, ensuring low latency even with large datasets.

Is it possible to integrate custom data feeds into the analytics modules?

Yes. The software infrastructure supports REST and WebSocket integrations for external data sources. Users can configure custom API endpoints within the platform settings to inject specific on-chain metrics or off-chain market data directly into their dashboard widgets for comprehensive analysis.

What security measures protect my account and data within the platform?

The platform employs end-to-end encryption for data in transit and at rest. Multi-factor authentication (MFA) is enforced for all user accounts to prevent unauthorized access. Regular security audits are conducted on the software infrastructure to ensure compliance with industry-standard security protocols.

Can I export analytics reports for offline review or team sharing?

Absolutely. The dashboard supports exporting key metrics and charts in CSV, JSON, and PDF formats. These exports can be generated manually via the 'Export' button or scheduled automatically through the platform's notification tools, allowing seamless integration into internal reporting workflows.

Does the platform provide mobile access for real-time monitoring?

The Trade Vector AI platform is fully responsive, offering a consistent experience across desktop and mobile devices. While the full feature set is optimized for desktop browsers, the mobile web app provides essential dashboard views, alert notifications, and account management tools for on-the-go monitoring.

How frequently is the platform software updated with new features?

The development team releases incremental updates on a bi-weekly cadence to introduce new analytical tools, performance enhancements, and integration capabilities. Major infrastructure upgrades are communicated in advance via the platform's notification center to ensure minimal disruption to user workflows.