Fiero Valtrix, predictive analytics dashboard for digital assets

Predictive Analysis on Digital Assets

AI models to read crypto volatility before investing

Fiero Valtrix processes market data in real time with predictive models trained on multi-year time series, returning risk indicators and probabilistic scenarios, not guaranteed profit forecasts.

Access the Dashboard Consult the Technical Documentation

Cryptography

AES-256

Backtesting

6+ years

Data sources

Multi-exchange

Update

Real-time

The Problem

The crypto market is technically accessible but statistically complex

For a student approaching digital assets with limited capital, the main risk is not the lack of information, but the excess of noise: contradictory news, high intraday volatility and the absence of independent verification tools.

Volatility

Nonlinear oscillations

Digital assets can move 10-15% in a matter of hours without an identifiable fundamental event, making traditional technical analysis insufficient on its own.

Information

Fragmented signals

On-chain data, social sentiment and macro indicators are rarely read together: most retail traders rely on only one source at a time.

Capital

Reduced margin for error

With limited budgets typical of an investor under 26, each decision has a proportionately greater weight: more rigorous risk optimization is needed.

Risk distribution by asset category (indicative)

Stablecoins

18%

Large cap (top 10)

44%

Mid cap

68%

Small cap / low liquidity

91%

Risk index calculated on 90-day historical volatility and liquidity depth of the order book. Values purely illustrative of the functioning of the model.

Security and Compliance

Military-grade AES-256 encryption and verifiable regulatory compliance

Before talking about returns, Fiero Valtrix defines how the data is protected and with which regulations the service is consistent. It is the first requirement for those who inform themselves before investing.

Data encryption at rest	AES-256, rotary keys
Encryption in transit	TLS 1.3
Account authentication	Multi-factor (MFA)
Data retention	Server with segmented access
Model audits	Version logs tracked
Access to funds	No direct custody of capital

What this means in practice: all information transmitted between your device and our servers is encrypted with the same standard (AES-256) used in government and banking sectors. Even in the event of data interception, the content is unreadable without the decryption key, which is never shared with third parties.

Regulatory compliance

Information transparency No return promises: Each model output is labeled as a probabilistic estimate, not personalized financial advice.

Separation of roles Fiero Valtrix provides data analysis: order execution always takes place via regulated third-party exchanges chosen by the user.

Personal data processing Data collection limited to what is necessary for the operation of the service, compliant with the principles of the GDPR.

Risk warning Digital assets involve the risk of capital loss: the platform does not eliminate the risk, it makes it measurable.

The Predictive Engine

How the model processes market data in real time

The system does not generate automatic buy or sell signals: it produces quantitative indicators that the user interprets and uses according to his own strategy.

Multi-source data collection

Continuous ingestion of price, volume, on-chain data and sentiment indicators from multiple exchanges, normalized into a single format for comparison.

Processing with predictive models

Neural networks trained on multi-year time series identify recurring patterns of volatility and correlation between assets.

Calculation of the risk index

Each monitored asset receives a dynamic risk score, updated at regular intervals based on current liquidity and volatility.

Return of the scenario

Results are presented in dashboards as probabilistic ranges, not as point values, to avoid a false sense of certainty.

Processed inputs

Price and volume (tick-level)
On-chain metrics
Aggregate sentiment
Macro correlations

→

Generated outputs

Risk index 0-100
Probabilistic range at 7/30 days
Divergence signal
Model confidence note

Practical Applications

Usage scenarios for a university investor

Three ways a Business or STEM student can integrate Fiero Valtrix analytics into their decision-making process, without relying solely on automation.

Building a low-risk portfolio

Selection of assets with a low risk score for a first gradual entry into the market, with limited capital and a multi-year horizon.

≤35 recommended risk index threshold for conservative profiles

Check before purchasing

Consult the 7-day probabilistic range before executing an order, to compare your intuition with the model output.

7 days short-term probabilistic estimation window

Correlation monitoring

Analysis of how an asset in the portfolio moves compared to Bitcoin or macro indices, useful for understanding the real level of diversification.

24/7 continuous updating of monitored correlations

Transparency of the Process

Backtesting, data sources and stated limitations of the model

We don't publish testimonials: we show how the model was tested and where the data comes from, so you can evaluate its reliability with your own criteria.

Historical backtesting summary

Period analyzed	2018 – present
Assets covered in the test	42 main pairs
Recalculation frequency	Every 15 minutes
Validation method	Walk-forward testing
Model review	Quarterly cycle

Primary order book exchanges
Public on-chain data
Social sentiment indices
Macroeconomic time series

Does the model guarantee a return?

No. It produces probabilistic estimates based on historical and current data: past performance is not indicative of future results.

Does Fiero Valtrix manage my funds?

No. The platform analyzes data and provides indicators: order execution always remains on the exchange chosen by the user.

How often is the risk index updated?

Every 15 minutes for actively monitored assets, with full model recalculation on a quarterly basis.

Is personal data shared with third parties?

No, unless required by law. The processing follows the minimization principles established by the GDPR.

Access to the Platform

Request access to the predictive analytics dashboard

Beta access is a gradual release. After registration you will receive your credentials via email with instructions for activating two-factor authentication.