Sonda Patrimorio's AI engine processes large volumes of market data to help you diversify income streams with evidence rather than guesswork, supported by a report delivered every 24 hours.
The platform is built around analysis, prediction and reporting. Each function depends on the previous one, so the output you see each day reflects a complete chain of evidence.
The system reviews historical and current market behaviour to identify shifts before they become obvious, giving you a reasoned view of where income opportunities may be moving.
Data is processed as it arrives rather than in scheduled batches, so the recommendations you receive reflect current conditions, not yesterday's market.
Income sources are assessed for correlation and concentration risk, with the aim of keeping diversified positions genuinely independent of one another.
We set out the steps between raw data and the figures you act on. The aim is a daily report you can read in a few minutes and still understand why it says what it says.
Market feeds, pricing data and relevant economic indicators are collected continuously from established sources and standardised for analysis.
The engine filters noise, cross-checks signals and weighs them against your existing diversification profile before anything is surfaced.
Every 24 hours, you receive a structured summary of movements, exposure and recommended adjustments, written in plain terms.
Most users are not looking to manage markets as a second job. The platform is designed to act as a high-level assistant that does the watching so you don't have to.
Rather than tracking multiple income sources manually across spreadsheets, you set your parameters once. The AI monitors correlation between holdings and flags when one stream starts to dominate exposure, so diversification stays genuine rather than nominal.
Timing decisions are often where limited hours hurt most. The platform surfaces windows for entry, exit or rebalancing based on real-time analytics, with the reasoning included in the daily report so the decision remains yours.
Illustrative view of a rebalancing signal strengthening over a reporting cycle.
We would rather explain the mechanics than ask for trust on faith. These are the questions most frequently raised before a decision is made.
The engine draws on established market and pricing feeds alongside publicly available economic indicators. Data is standardised before analysis so figures from different sources remain comparable.
The model is weighted towards historical pattern recognition rather than opinion, and it does not have access to non-public information. It can be wrong, particularly during unprecedented market events, which is why every recommendation is paired with its supporting reasoning rather than presented as a certainty.
Every recommendation is logged at the point it is issued, so later performance can be measured against the original reasoning rather than against hindsight. The daily report shows this history alongside the current position.