¿Quién custodia los fondos?

Nubazúñel no mantiene custodia directa de capital. Las órdenes se ejecutan a través de las cuentas y conexiones API que el propio usuario autoriza en su exchange de referencia.

¿Qué ocurre si falla la conexión con el exchange?

El sistema detiene la ejecución de nuevas órdenes hasta restablecer la conexión y registra el evento en el historial de actividad, visible para el usuario.

¿Qué datos utiliza el algoritmo?

Precio, volumen y profundidad de mercado de múltiples exchanges. No se emplean fuentes de predicción social ni señales no verificables.

¿Puedo definir mis propios límites de riesgo?

Sí. El tamaño máximo por orden, la frecuencia de compra y el porcentaje de cartera expuesto se configuran antes de activar la estrategia.

¿Cómo se mide el rendimiento de la estrategia?

El panel muestra el coste medio de adquisición, la evolución frente al mercado de referencia y el historial completo de órdenes ejecutadas.

Nubazúñel crypto market predictive analysis panel

Artificial intelligence applied to crypto markets

Optimize your inflows, protect your capital and scale your investment strategy

Nubazúñel analyzes volatility and volume in real time to automate periodic purchases at the most statistically favorable times, reducing the average acquisition cost without manual intervention.

Request demo See how it works

24/7 Continuous market monitoring

DCA Automated recurring purchases

< 1s Execution latency after signal

The problem

Market noise prompts costly decisions

Sudden price movements generate emotional reactions: buying late out of euphoria or selling early out of fear. Nubazúñel replaces that reaction with actionable signals based on historical data and recent market behavior.

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Emotional bias at entry

Most manual purchases are concentrated in peaks of media attention, not in favorable price zones.
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High average acquisition cost

Buying in sporadic blocks, without a method, makes the position more expensive compared to a distributed and calculated accumulation.
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Lack of constant monitoring

Monitoring graphics in real time is not compatible with a professional activity. Opportunities are lost after hours.

market noise in front of actionable signals: the difference between reacting to price and anticipating it with data.

Nubazúñel analyst reviewing data models for algorithmic investing

Core technology

Intelligent input logic and predictive modeling

The system combines technical indicators, volume and market structure to estimate entry zones with favorable probability, without human intervention in the execution.

Predictive analysis

Models trained on historical series identify oversold and overbought patterns before they are evident in the price.

Automated DCA

Purchases are distributed over time and are adjusted to market conditions, systematically reducing the average acquisition cost.

Risk mitigation

Configurable exposure limits and capital rules prevent an isolated signal from compromising the entire portfolio.

Methodology

How each purchasing decision is constructed

The process is transparent in its three phases: what data is consulted, how it is interpreted and when the order is executed.

Data ingestion

The system consults price, volume and market depth of the main exchanges continuously, without dependence on a single source.

Pattern recognition

The models compare the current situation with similar historical scenarios to estimate whether the price zone is favorable to enter.

Execution

When the defined criteria are met, the order is sent automatically, respecting the risk limits configured by the user.

Use cases

Same logic, different level of exposure

The system parameters are adapted to the declared risk profile, without changing the methodological basis of analysis.

Conservative profile

Conservative growth

Prioritizes capital preservation over speed of accumulation. Purchases are executed in narrower volatility ranges.

More demanding entry thresholds before making a purchase.
Smaller order size for each confirmed signal.
Higher asset weighting with lower historical deviation.

Active profile

Active accumulation

Aimed at investors who accept greater volatility in exchange for more frequent accumulation in significant price drops.

Higher purchasing frequency during market corrections.
Expanded allocation to assets with greater liquidity and depth.
Dynamic readjustment of exposure limits based on recent volatility.

Frequently asked questions

Custody, transparency and technology

Direct answers to the most common doubts among investors evaluating algorithmic management tools.

Who guards the funds?

Nubazúñel does not maintain direct custody of capital. Orders are executed through the accounts and API connections that the user authorizes on their reference exchange.

What happens if the connection to the exchange fails?

The system stops the execution of new orders until the connection is reestablished and records the event in the activity history, visible to the user.

What data does the algorithm use?

Price, volume and market depth of multiple exchanges. No social prediction sources or unverifiable signals are used.

Can I define my own risk limits?

Yes. The maximum order size, purchase frequency and exposed portfolio percentage are configured before activating the strategy.

How is strategy performance measured?

The panel shows the average acquisition cost, the evolution against the reference market and the complete history of executed orders.

Next step

Take control of your accumulation strategy

Set your risk limits, define input frequency, and let data analysis work continuously. An initial conversation is enough to evaluate if the model fits your profile.

No custody of funds by Nubazúñel
Connect using API keys with limited permissions
Complete order and signal history available on the dashboard