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Dovizieria — data analytics and artificial intelligence platform for investors

Decisions based on evidence, not intuition

Dovizieria analyzes crypto markets and business risk indicators in real time, transforming large volumes of data into motivated recommendations. Every operational signal originates from a backtested model, not an isolated prediction.

Analyze Performance Discover the Method
Update Real-time market flows
Data source Market feed and on-chain data
Check Public register, consultable by the community
Methodology

The method: three verifiable phases

The system does not produce isolated signals. Each recommendation goes through three distinct phases, each documented and available for review.

01

Data Ingestion

The system collects price, volume and real-time on-chain data, along with macroeconomic indicators relevant to business risk. The goal is an updated information base, without significant delays.

02

Predictive Analysis

The models estimate probabilistic price and volatility scenarios, not point forecasts. Backtesting on multiple time series allows you to estimate the margin of error before publishing a recommendation.

03

Portfolio Optimization

The suggested allocations consider the correlation between assets and the declared risk tolerance. The result is a rebalancing guided by quantitative criteria, not by current trends.

Each phase produces a trace that can be consulted in the public register of decisions. The model does not promise returns: it provides probabilities, confidence intervals and operational reasons, leaving the final decision to the investor.

Verifiability

Public register of decisions

Each recommendation generated by the system is recorded with a time stamp, quantitative reason and subsequent outcome. The register can be consulted by anyone and allows a direct comparison between forecast and actual result, without subsequent selection of the most favorable items. This is the basis of total traceability: we don't ask for trust, we offer verifiable data.

Illustrative structure of the register. Real data, updated daily, is accessible after registration.

Date Asset / scope Decision Brief motivation I hesitate
15/01 BTC/USD Exposure reduction Increase in implied volatility detected by the model Verified after 30 days
02/02 Corporate portfolio Currency diversification High correlation between key assets Waiting for cycle to close
20/02 ETH/USD Position maintenance No significant risk signals Verified after 14 days
Dovizieria — quantitative approach to portfolio risk management

Capital preservation as a priority

Risk management is not an accessory module: it is the criterion that precedes every recommendation. A system that generates signals without considering the correlation between existing positions exposes the portfolio to invisible concentrations. Dovizieria first checks the compatibility with the current exposure, then evaluates the potential return.

  • Dynamic correlation The model recalculates the correlation between assets with each significant market change, not on a monthly basis.
  • Algorithmic stress testing Each portfolio is subjected to simulated downside scenarios to estimate the maximum expected loss under adverse conditions.
  • Exposure limits Quantitative thresholds prevent excessive concentration on a single asset or sector.
  • Periodic inspection Model assumptions are reviewed on a regular basis, not just after a market event.
Applications

Who is this analysis designed for?

The same methodological system adapts to different profiles, from the individual investor to the corporate treasury function.

Private investor

Personal risk management

Those who want crypto exposure without monitoring the markets every day receive motivated rebalancing signals and a record of past decisions against which to evaluate the consistency of the method over time.

Corporate treasury

Volatility and flows

Businesses with liquidity in digital currencies use analytics to manage crypto volatility and tax flow optimization by integrating signals into existing treasury processes.

Strategic advisory

B2B decision support

Financial consultants and advisors use quantitative reports to support B2B strategic decisions, combining data analysis with their professional judgment when dealing with clients.

Frequently asked questions

Technical and operational clarifications

Are my data and funds safe?

Dovizieria does not hold client funds and does not execute trades for third parties: it provides analysis and recommendations. The personal data provided during registration are processed in accordance with current legislation and are not shared with third parties for commercial purposes.

How does artificial intelligence logic work?

The system combines statistical and machine learning models trained on time series of price, volume and on-chain data. No predictive model guarantees future results: the performance documented in the public register does not constitute a guarantee of future results.

What are the costs of the service?

Access to the public register of performances is free. Plans with personalized recommendations and company reporting have a cost, explicitly communicated before activation, with no additional hidden items.

Access Intelligence

Access to the platform does not require binding commitments. You can consult the public register, evaluate the method and decide at your own pace.

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No hidden costs, just data.