¿Cómo se seleccionan las estrategias disponibles para copiar?

Cada estrategia se somete a un proceso de validación estadística sobre datos históricos independientes antes de publicarse, incluyendo métricas de volatilidad y drawdown máximo visibles para el usuario antes de activarla.

¿Es posible perder el capital asignado?

Sí. Toda actividad de inversión conlleva riesgo de pérdida, incluida la que se ejecuta mediante modelos automatizados. NeonVault ofrece herramientas de análisis y límites de exposición, no garantías de rentabilidad.

¿Qué datos utiliza el modelo predictivo?

El modelo incorpora series de precios, volumen de negociación y variables macroeconómicas públicas. No se emplean datos personales del usuario en el entrenamiento de los modelos de mercado.

¿Puedo definir mis propios límites de riesgo?

Sí. Antes de activar cualquier estrategia, es posible establecer un límite máximo de exposición por operación y un umbral de pérdida acumulada a partir del cual la asignación se detiene automáticamente.

¿Existe una estructura de comisiones?

La estructura de comisiones aplicable se muestra de forma detallada antes de activar cualquier estrategia, de modo que el usuario conozca los costes asociados antes de tomar una decisión.

NeonVault — AI Platform for Supplemental Income

Predictive analytics for more informed financial decisions

NeonVault processes large volumes of market data to identify strategies with verifiable performance and allows them to be replicated in an automated manner, with user-defined risk limits.

Designed for independent professionals and participants in the platform economy in Spain.

The volatility of project income requires precision tools

Those who rely on digital platforms or gig work often face weeks of high demand followed by periods of lower activity. This variability makes medium-term financial planning difficult and reduces the scope for informed investment decisions.

The usual response—saving passively or trying to trade manually without prior experience—rarely delivers consistent results. A data-driven approach instead allows you to evaluate opportunities using objective criteria and adjust risk exposure based on each person's situation.

The irregularity of income generated on gig work platforms is a pattern widely documented in studies on the platform economy, which reinforces the need for financial optimization mechanisms adapted to this reality.

Three components work in coordination

Predictive analytics model

The system processes historical series and market data in real time to detect statistically relevant patterns. The result is not an absolute prediction, but rather an estimate of probabilities that serves as the basis for allocation decisions.

Copy of verified strategies

NeonVault allows you to automatically replicate the behavior of artificial intelligence strategies with auditable performance history. Each strategy shows its past performance, its volatility and the period evaluated before being activated.

Dynamic exposure adjustment

The risk parameters are continuously recalculated according to the observed market volatility and the limits defined by the user, preventing a single position from concentrating a disproportionate part of the assigned capital.

A documented process, not a closed box

Each strategy available on the platform goes through a structured process before being accessible for replication.

Data collection

Ingestion of market data, volume and macroeconomic variables relevant to the asset analyzed.

Statistical modeling

Training and validation of predictive models on independent historical data sets.

Risk assessment

Calculation of volatility metrics, maximum drawdown and correlation with other assets in the portfolio.

Supervised execution

Activation of the strategy with exposure limits set by the user and periodic review of results.

Risk Management Note: No strategy, human or automated, eliminates the risk of loss. NeonVault presents historical and volatility metrics so that each user can decide the level of exposure according to their financial situation, without offering profitability guarantees.

Different ways of working, the same stability objective

Urban delivery and logistics

Variable shift income

A dealer with income concentrated on weekends allocates the surplus from high demand weeks to a low volatility strategy, with withdrawals scheduled to cover slower weeks.

Transport with app

Seasonal surplus

A driver with peak activity during high season uses predictive analysis to identify the appropriate time and amount to allocate part of his earnings to medium-horizon strategies.

Freelance work and consulting

Project income diversification

An independent consultant with irregular project billing uses conservative exposure limits to supplement his income without compromising his operational liquidity.

Common technical issues

How do you select the available strategies to copy?

Each strategy undergoes a statistical validation process on independent historical data before being published, including volatility and maximum drawdown metrics visible to the user before being activated.

Is it possible to lose the allocated capital?

Yes. All investment activities carry risk of loss, including those executed using automated models. NeonVault offers analysis tools and exposure limits, not profitability guarantees.

What data does the predictive model use?

The model incorporates price series, trading volume and public macroeconomic variables. No personal data of the user is used in the training of the market models.

Can I define my own risk limits?

Yes. Before activating any strategy, it is possible to set a maximum exposure limit per trade and a cumulative loss threshold above which the allocation stops automatically.

Is there a commission structure?

The applicable commission structure is shown in detail before activating any strategy, so that the user knows the associated costs before making a decision.