Tomás Capital combines institutional-grade predictive analytics with a remote execution system, designed for professionals who manage their capital from anywhere without depending on constant screens.
Those who invest independently usually review dozens of indicators, news and charts manually. The volume of information exceeds the capacity for human analysis in useful time, and decisions end up being made under pressure, not under judgment.
Tomás Capital processes that same volume of data continuously and reduces the noise to relevant signals, so that the decision is based on calculated probability and not on emotional reaction.
Approximate proportion between volume of data ingested and final recommendations issued by the predictive engine.
The system dynamically adjusts output levels based on the asset's recent volatility, rather than applying a fixed percentage that ignores market conditions.
The model continuously calculates the implied and realized volatility of each position. From that calculation, it recalibrates the stop-loss threshold several times per session, adjusting it to the actual market structure rather than a predefined value.
This recalibration reduces the likelihood of premature closes in normal noise movements, without exposing capital to prolonged declines when the trend changes on a sustained basis.
Illustrative representation of drawdown containment after the activation of the trailing stop-loss, without guaranteed performance figures.
The Tomás Capital motor operates in three sequential phases. Each phase produces a verifiable result before moving on to the next, allowing you to review the reasoning behind each recommendation.
The system collects market data, volume, historical volatility and macroeconomic variables from multiple sources, normalizing them into a single format for processing.
Neural networks trained on time series generate probabilistic projections of asset behavior over different time horizons.
The projections are translated into entry, exit and dynamic stop-loss parameters, which the user can review before they are applied to their portfolio.
Tomás Capital is designed for those who manage their capital while working remotely, with variable time zones and connectivity. The system analyzes markets continuously, so the user does not depend on being in front of a screen at the exact moment of a sudden movement.
The engine processes price, volume and volatility data from financial markets, along with public macroeconomic indicators. No personal data of the user is used in training the models.
The connection credentials with brokers or exchanges are stored encrypted and are used exclusively to execute orders authorized by the user, without access to withdrawal of funds.
No. Tomás Capital is a risk analysis and management tool. It reduces exposure to prolonged losses through trailing stop-loss, but it does not eliminate the risk inherent in financial markets.
The platform connects via API to a limited number of compatible brokers and exchanges. The list of available integrations is provided during the onboarding process.
The user defines the initial risk parameters and can review each recommendation before execution, or delegate automatic execution within configured limits.