Sólido Registranza processes your income sources with predictive models and shows you where to diversify, in real time and without manual spreadsheets.
The dashboard combines your connected accounts with global and local market data, and updates recommendations whenever conditions change.
We eliminate the burden of crossing forms. We simplify the analysis into a single panel. You decide with a clear recommendation, not with loose data.
The predictive model crosses your sources connected with market movements in real time and prioritize opportunities based on your risk profile.
The complete setup runs in less than 60 seconds from the moment you link the first source.
Connect your existing income and investment accounts in one place.
The model analyzes historical volume and current market movements.
You see what to move, when and with what level of risk associated.
Each functionality is designed for professional and institutional use, with no technical learning curve.
The system learns from your income history and market patterns to anticipate scenarios, not just describe the past.
We identify excessive concentration on a single source of income and suggest concrete balance sheet adjustments.
We compare projected performance between local and international channels, with a focus on reducing weight dependency.
You receive notice when a relevant variable moves, without having to review the panel manually every day.
The Sólido Registranza engine trains on volume of global market data and adjusts its recommendations based on how those variables historically affect Argentine assets. It does not promise fixed results: it reduces uncertainty with updated information.
Connections to your feeds use encryption in transit and at rest. Access to sensitive data is segmented by role within the platform.
Your financial data is used solely to generate your own recommendations. They are not shared with third parties for commercial purposes.
Initial setup in less than 60 seconds. No spreadsheets, no technical integrations on your side.