Start analysis
Total Intelesór – AI-powered financial data analysis dashboard
Investment analysis with AI

Investment decisions based on verified data, not intuition

Total Intelesór processes your market feeds in real time, detects risk patterns and delivers recommendations with the reasoning behind each one. Without closed panels or results without traceability.

Start analysis View performance logs

What the panel shows

Cross in real time between market volatility, portfolio exposure and model confidence level. It is updated every time new data arrives, without manual intervention.

The problem

Managing market data remotely consumes time you don't have

You work from Valencia, Lisbon or Bali, but the markets don't wait for your time zone. Reviewing multiple sources, crossing indicators and detecting risk signals by hand is slow and prone to errors, especially when you do it between meetings or with an unstable connection.

Most investment tools are designed for analysts with a fixed office and access to professional terminals. Remote investors need something different: automated analysis, clearly explained, accessible from anywhere.

  • Too many scattered and unconsolidated data sources in one place.
  • Risk signals that arrive late, when they are no longer useful for making decisions.
  • Third party recommendations without explanation of the reasoning behind.
  • Reliance on office hours to access updated reports.
The solution

An analysis engine that explains each recommendation

Total Intelesór combines predictive models with configurable risk rules. It does not replace your judgment: it gives you organized information so you can decide faster.

01

Analysis with AI

The models process market data, news and portfolio metrics in parallel. Each recommendation includes the variables that originated it, not just the final result.

02

Risk reduction

The system flags excessive concentrations and hidden correlations between assets before they become losses. You define the alert thresholds.

03

Real-time dashboards

Data is updated as it arrives, without manual reloads. You can check the status of your portfolio from your mobile or laptop with the same information.

Methodology

This is how a recommendation reaches your screen

There is no black box. Each step of the process is documented and can be consulted from your account.

1

Data ingestion

We connect your market sources, financial news and portfolio history. The data is normalized before entering the model.

2

Pattern recognition

The engine compares the current context with similar historical scenarios and calculates the confidence level of each detected signal.

3

Optimized result

You receive a recommendation with the summarized reasoning, the associated risk and the alternatives discarded during the analysis.

Public records

Community Verified Performance

Each evaluation cycle is recorded and can be reviewed by users of the platform. We do not publish figures without their corresponding audit trail.

Period Model evaluated Community Review Status
Last quarter Risk engine v. current Reviewed by active users Verified
Previous quarter Risk engine v. previous Reviewed by active users Verified
Two quarters ago Pattern Engine v. previous Reviewed by active users Verified

Each record includes the date of the calculation, the model version used, and comments from users who reviewed the result. The complete history is available within your account, without the need to request it.

Frequently asked questions

Technical and risk management doubts

Wallet data is stored encrypted and is only used to generate your own analysis. They are not shared with third parties or used to train other users' models.

Model updates are released with their version number and are recorded in performance history. You can see what changed between versions before it affects your analytics.

You connect your data sources, define your risk thresholds and the system begins to generate recommendations about your real portfolio. No prior technical configuration required.

Get started with your own data, not a generic demo

Connect your market sources and review the first recommendation generated about your current portfolio. The record of each analysis is available from the first day.

Start analysis