Zhavelidro combines predictive models with an intelligent stop-loss system that adjusts the exit threshold according to the actual volatility of each asset. It is designed for those who manage their capital while working remotely, without depending on constant monitoring of screens.
Context
Those who invest while working remotely are well aware of the tension between attending to their core business and keeping an eye on an open position. The overload of data and the need to decide under pressure encourage errors that rarely appear in a spreadsheet, but do appear in the final profitability.
The absence of a well-calibrated stop loss is often the most vulnerable point of a strategy, especially when the market moves outside the time in which the person can react.
Methodology
The system recalculates the exit threshold for each position based on the recent volatility and historical behavior of the asset, instead of applying a fixed percentage. This reduces premature exits in erratic markets and limits losses when the trend is confirmed against.
The platform simultaneously analyzes multiple market sources, news and historical series, filtering statistical noise to retain only signals with proven relevance.
Based on the objectives and the declared risk level, predictive models generate concrete portfolio adjustments, updated as market conditions change.
Each recommendation you receive goes through three verifiable stages, designed to reduce the volume of information to only what is actionable.
The system collects prices, volumes and macroeconomic variables from multiple markets in real time, along with historical series that serve as a reference for the models.
Predictive models evaluate patterns of volatility and correlation between assets, discarding signals of low statistical reliability before generating any recommendation.
The analysis is translated into concrete parameters: exit thresholds, suggested position sizes and prioritized alerts, so you review a narrow proposal rather than a continuous stream of data.
professional use
Independent consultants and managers use Zhavelidro reports to justify rebalancing decisions to their clients, with a documented record of the signals that motivated each adjustment.
personal use
A professional working from different countries sets his risk limits just once and lets the smart stop-loss act during the hours when he cannot monitor the market, reducing exposure to sharp declines without needing to liquidate entire positions as a precaution.
Data is encrypted in transit and at rest, and access to each account's information is restricted to the processes that the account itself authorizes. Zhavelidro does not share portfolio data with third parties for trading purposes.
No. The platform works with market data and risk parameters that you define manually; The execution of any order always remains under your control or that of your usual broker.
The model learns from historical declines in comparable assets and recent volatility of the particular instrument, adjusting the exit threshold rather than applying a single percentage to the entire portfolio.
No permanence commitments. You define the risk limits from day one.