¿Cómo se protegen los datos y el capital del cliente?

Las credenciales de conexión se cifran y se segmentan por cuenta. El capital permanece en todo momento identificado de forma individual, sin mezclarse en un fondo común entre clientes.

¿Con qué rapidez puede retirarse la liquidez asignada?

La velocidad de retirada depende de la estrategia activa y de si existen posiciones abiertas en ese momento. El sistema prioriza el cierre ordenado de posiciones antes de liberar fondos.

¿Cuál es la tasa de acierto de la IA en mercados volátiles?

El histórico de precisión varía por estrategia y se reduce en entornos de alta volatilidad, como refleja la tabla de estrategias. Ningún modelo mantiene una precisión constante en todos los ciclos de mercado.

¿Cómo se estructuran las comisiones?

Se aplica una comisión sobre el capital gestionado y, en algunas estrategias, un componente variable ligado al rendimiento neto obtenido. El detalle exacto se confirma antes de activar cualquier modelo.

¿Qué ocurre si una estrategia entra en pérdidas sostenidas?

Cada modelo cuenta con reglas de salida y límites de exposición. Si se superan los umbrales definidos para ese perfil, el sistema reduce o cierra posiciones de forma automática.

RopidoCripto financial data analysis panel for SMEs

Your company's idle liquidity, analyzed and assigned by AI models

RopidoCripto connects excess treasury capital with copy-trading strategies supported by artificial intelligence. Each model is selected according to the volume of data processed, its time horizon and its historical accuracy in backtesting, not according to market intuition.

Optimize my liquidity View performance analysis

24/7

Continuous position monitoring

Predictive model profiles available

<1 min

Average adjustment execution time

Illustrative panel of the monitoring system. Actual operating values depend on risk profile and allocated capital.

Market context

Cash sitting in checking accounts loses real value every month

Inflation and opportunity cost erode the capital that an SME maintains without remuneration. The relevant question is not whether to move that surplus, but with what technical criteria to do so.

The problem is not new, but the tool is. For decades, SMEs have managed their treasury with conservative criteria: minimally remunerated accounts or term deposits with lower profitability than inflation.

RopidoCripto introduces a layer of data intelligence between that liquidity and the markets. Instead of trading manually, the platform identifies optimal entry and exit points by replicating AI strategies with auditable history of performance.

The objective is not to replace the entrepreneur's financial judgment, but to provide an additional layer of quantitative analysis before deciding how much capital to expose and for how long.

RopidoCripto team analyzing data models for liquidity optimization

Why AI?

Continuous processing capacity

A model can simultaneously analyze multiple markets and variables without fatigue or emotional bias, adjusting positions as conditions change.

Why now?

Volatility as a measurable opportunity

Digital asset markets generate sufficient data volume to train and validate predictive models with short and frequent backtesting cycles.

Why for SMEs?

Access without dedicated treasury team

Strategy copying eliminates the need to hire in-house analysts for active and systematic management of excess capital.

System architecture

How the decision engine that replicates each strategy works

The system does not issue isolated predictions: it executes a continuous process of ingestion, analysis and risk mitigation before replicating any position in the client's account.

Ingestion and processing

The models process market, volume and liquidity data in continuous cycles, updating their signals as conditions change. The goal is to analyze recurring patterns, not react to isolated events.

~1.2M

Data points evaluated per cycle

Validation layers before running

Copy-trading strategies

Each account proportionally replicates the operations of a model selected by the client. Execution is adjusted to available capital, without manual intervention in each order.

1:1

Replication proportional to capital

car

Position adjustment according to signal

Risk mitigation

Each strategy operates with predefined exposure limits and exit rules. The system can automatically reduce positions if volatility exceeds the calibrated thresholds for that profile.

Exposure thresholds by profile

Stop

Automated departure rules

Strategy selection

Four model profiles, each with a different business objective

The choice does not depend on personal preference, but on your company's liquidity horizon and the tolerance to volatility that you can assume without compromising operations.

Strategy	Risk level	Time horizon	Accuracy history
Conservative — Synthetic income	Low	30–60 days	71.4%
Balanced — Multiactive	Medium	15–45 days	68.2%
Dynamics — Crypto Momentum	Medium-high	7–21 days	64.9%
Aggressive — High frequency	High	Intraday–72h	59.7%

Example figures obtained from simulated historical backtesting over past market windows. They do not constitute a guarantee of future performance or an individualized investment recommendation.

Onboarding process

Three steps between the bank account and the first active model

The process is designed for a business owner without time for active daily portfolio management.

Secure capital connection

The source account is linked and the amount of excess liquidity to be allocated is defined, keeping the rest of the operational treasury intact.

Predictive model selection

The strategy is chosen according to the risk profile and the time horizon that best suits the cash needs of the business.

Real-time monitoring

The panel shows open positions, automatic adjustments and current exposure, with exportable history for internal accounting control.

Transparency

Direct answers to the most technical questions

Before allocating capital, it is reasonable to understand how it is protected, how it is recovered, and under what conditions the system can fail.

How is customer data and capital protected?

Connection credentials are encrypted and segmented by account. The capital remains individually identified at all times, without being mixed in a common fund between clients.

How quickly can allocated liquidity be withdrawn?

The withdrawal speed depends on the active strategy and whether there are open positions at that time. The system prioritizes the orderly closing of positions before releasing funds.

What is the success rate of AI in volatile markets?

Historical accuracy varies by strategy and is reduced in high volatility environments, as reflected in the strategy table. No model maintains constant accuracy across all market cycles.

How are the commissions structured?

A commission is applied to the managed capital and, in some strategies, a variable component linked to the net return obtained. The exact detail is confirmed before activating any model.

What happens if a strategy enters sustained losses?

Each model has exit rules and exposure limits. If the thresholds defined for that profile are exceeded, the system automatically reduces or closes positions.