El Informador Global unified multi-exchange data analysis dashboard for investors
Financial intelligence platform

Decide with data, not instinct

El Informador Global centralizes information from multiple exchanges in a single dashboard and applies predictive models to anticipate risk before it materializes.

The dashboard aggregates positions, volume, and risk metrics for each connected exchange into a single view, with alerts prioritized by potential impact.

The problem

Data is distributed, decisions cannot wait

Anyone who trades on multiple exchanges reviews each platform separately, exports spreadsheets and manually rebuilds an overview that is already out of date by the time they finish. Time spent consolidating information is time not spent analyzing it.

This fragmentation not only slows down work: it hides correlations between positions that are only visible when the data coexist in the same model.

+6 Typical data sources by active portfolio
0 Manual reconciliations required with a unified dashboard
Unified intelligence

One model, all sources

El Informador Global connects the exchanges you already use through read-only integrations and normalizes the data into a common structure. The predictive modeling engine processes that information in real time to generate specific recommendations by asset and by portfolio.

  • Continuous sync with multiple exchanges without manual exports
  • Automatic normalization of reference formats and currencies
  • Probability models adjusted by historical volatility of the asset
  • Recommendations prioritized according to risk exposure
Processing engine
ingest() → 6 exchanges connected
normalize() → unified format, 0 data loss
model.run() → drawdown probability: 14%
output() → 3 prioritized recommendations
Predictive results

From reacting to anticipating

The system does not simply describe what has already happened. It compares the current behavior of the portfolio with equivalent historical patterns and estimates the probability of different risk scenarios in the next market cycles.

Each recommendation includes the confidence level of the model and the factors that most influenced the calculation, so that the final decision remains the user's.

Probability of exposure by time frame Model updated every hour
Applications

Designed for those who manage their own or third-party capital

01

Investors with a diversified portfolio

Consolidate open positions across exchanges and receive a single reading of exposure and correlation between assets.

02

business strategists

Incorporate external market variables into internal analysis to inform capital allocation decisions.

03

Professionals with diversified income

Monitor multiple revenue streams and performance from a single dashboard without switching between applications.

Methodology

How your data is processed

Step 1

Data ingestion

Read-only connections import positions, trading history and volume from each selected exchange.

Step 2

AI Processing

The model cross-references normalized data with historical patterns and calculates risk probabilities by asset and portfolio.

Step 3

Recommendations output

The dashboard displays prioritized alerts and specific recommendations, with the confidence level of the calculation visible in each one.

Data access and security: Connections to exchanges are established using read-only permissions, with no ability to execute operations, and information is encrypted in transit and at rest.
About El Informador Global

Analytics built for decision making, not visualization

El Informador Global was born to solve a specific problem: the dispersion of data between exchanges makes it impossible to see the real risk of a portfolio. The product focuses on delivering actionable recommendations, not on piling on additional graphics.

Each model update is documented and available for review, so recommendations can be audited at any time.

El Informador Global team analyzing predictive financial risk models

Centralize your data and optimize risk from a single pane of glass

Set up your connections in minutes and review the model's first recommendations in your own portfolio.