Aurora Crescianza - AI-powered financial analysis dashboard

Wallet setup in 60 seconds, continuous analysis by artificial intelligence

Aurora Crescianza connects accounts, portfolios and market sources, processes data with predictive models and provides practical indications to protect and grow your family's wealth.

Encrypted infrastructure, compliant with European data regulations
The operational screen shows the portfolio's risk score, deviations from objectives and priority recommendations, updated at each session.
The problem

Too much data, few clear decisions

Information overload

Separate bank statements, quotes, market news and spreadsheets make it difficult to understand whether family wealth is going the expected direction. Most families do not have the time, nor the tools, to cross-reference this data on a regular basis.

The result is reactive management: action is taken only after a clear decline, when the margin for maneuver is already reduced.

The Aurora Crescianza filter

Aurora Crescianza automatically aggregates connected sources and applies predictive analysis models to transform raw data into actionable insights, ordered by priority.

  • Automatic aggregation of accounts, portfolios and public market sources
  • Risk score calculated and updated at each session
  • Priority reporting only for significant deviations
  • Single, motivated and verifiable recommendations
Technology

Predictive models at the service of financial security

The three components that make up the Aurora Crescianza analytical engine work together, without requiring technical skills on your part.

01

Predictive Analysis

The system processes time series and current market data to estimate probable future scenarios for your portfolio, updating forecasts with any new information available.

02

Risk Management

Each position is evaluated based on exposure, concentration and historical volatility, with an overall score indicating how consistent the portfolio is with its stated objectives.

03

Real-time optimization

Market changes are evaluated in real time and, when they exceed defined thresholds, generate an operational recommendation that the user can accept, modify or ignore.

Methodology

How AI arrives at a recommendation

We don't ask you to blindly trust the algorithm: every step of the process is documented and remains visible within the platform.

1

Data collection

Securely connect to bank accounts, stock portfolios and public market sources. The operation requires user authorization and does not change any existing balance or position.

2

Analysis

The predictive models cross-reference the data collected with risk parameters and time horizon declared by the user, producing an updated picture of the financial situation.

3

Execution

The recommendations are presented with their justification. The user decides whether to proceed, postpone or refuse: no operation is performed without explicit approval.

Aurora Crescianza - data analysis team working on predictive models
Who we are

An analytical infrastructure, not an automated advisor

Aurora Crescianza was created to make data analysis tools normally reserved for institutional operators accessible to families. Our job is to build and maintain predictive models, not to replace user judgment.

Each recommendation generated by the platform is accompanied by the data and criteria used to formulate it, so that the final decision always remains in the hands of those who use the service.

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Use cases

Concrete scenarios for families and small investors

Retirement Planning

The system monitors the distance between the accumulated capital and the declared pension objective, reporting when the rate of accumulation moves away from the expected trajectory and proposing gradual adjustments.

20+ years of horizon analyzed with continuous updating

Capital Protection

During periods of market volatility, the algorithm evaluates portfolio concentration and suggests rebalancing measures aimed at limiting risk exposure, without requiring frequent manual interventions.

Daily analysis of the portfolio's risk score
Frequently asked questions

Security, times and costs of the service

How is linked financial data protected?

Connections to accounts and wallets occur via encrypted protocols and do not require memorization of the original access credentials. The processed data is processed in accordance with European regulations on the protection of personal data.

What does one-click configuration actually consist of?

After user authorization, the platform automatically imports existing positions and applies a predefined risk profile, which can be modified at any time. Manual entry of accounting data is not required.

What are the costs of the service?

The economic conditions are indicated during the configuration phase, before the definitive activation of the connection to the accounts. There are no implicit costs or undisclosed commissions.

Your time is precious

Optimize your data today: the initial connection takes less than a minute and the analysis continues autonomously.

Set up in 60 seconds