Reservanzía is designed for those who bill irregularly. It replaces reactive management—deciding after the market has already moved—with a system that anticipates volatility and adjusts exposure before damage occurs.
Optimize your CapitalReal-time analysis panel: exposure monitoring, protection thresholds and capital evolution, all consolidated in a single view.
Anyone who works for themselves knows well the irregularity of income: months of high billing followed by periods without active projects. That same person needs his capital to grow, because he does not have a fixed salary to compensate for the weak years. But it also cannot afford a significant drop just when it needs the most liquidity.
It is a structural tension, not a matter of discipline: performance is required and, at the same time, a very limited risk tolerance. Most investment tools are designed for profiles with stable income, not for those who depend on their own activity to sustain cash flow.
See how our methodology addresses this →The core of Reservanzía is a smart preservation which is not limited to setting a static loss limit. Analyze the implied volatility of the market and calculate dynamic thresholds that adjust according to the conditions detected, instead of waiting for a fixed percentage of drop to occur.
The goal is not to avoid all fluctuations—that would be naïve—but to contain declines before they significantly erode the principal. For an independent professional, this translates into something concrete: peace of mind between projects, without the need to monitor the market daily.
Conceptual representation of the effect of dynamic thresholds on the magnitude of a fall, not based on specific historical results.
Reservanzía processes large volumes of real-time market data – prices, volatility, correlations between assets – to identify patterns that would be difficult to detect manually. The difference compared to a simple trading bot is that the system does not execute rigid rules: it weighs the context of each user, their horizon and their declared tolerance, before suggesting any adjustments.
Each recommendation comes accompanied by the logic that supports it: what variables were moved, why it is considered relevant and what alternatives exist. This is not an isolated signal, but rather a reasoned reading that the user can accept, postpone or discard.
The same analytics engine that manages a modest portfolio can absorb larger volumes of data without losing granularity. This allows the platform to accompany the user's growth, from the first excess savings to more consolidated portfolios, without the need to migrate systems.
The platform collects real-time market data along with the user's declared profile: expected income, investment horizon and acceptable risk threshold. This information defines the starting point of each analysis.
Predictive models cross-reference volatility, correlations, and recent trends to estimate likely scenarios. The aim is not to predict the market with absolute certainty, but rather to quantify the relative risk of each position.
Based on this analysis, the system proposes specific adjustments: partial reassignment, activation of protection thresholds or maintenance of the current position. Each proposal is registered along with its justification.
When several projects coincide and cash flow improves, Reservanzía helps decide what part of that surplus should be allocated to growth and what part should remain as a liquidity cushion. The recommendation considers the declared horizon, preventing the capital from being exposed above the risk that the user is willing to assume.
In the sections of less activity, the system prioritizes preservation over performance. Dynamic thresholds are adjusted to reduce exposure to adverse movements, so that accumulated capital remains available when the user needs it, without depending on the market performing favorably.
Reservanzía works in the background while you go about your business: analyzing the market, adjusting protection thresholds and preparing recommendations for the moment you decide to review them.