Ovruxtali combines predictive AI models with an automated stop-loss system, designed for freelancers and independent professionals whose income varies from project to project. The goal is to limit drawdown while you focus on your work.
Real-time risk dashboard: exit thresholds, net exposure and active coverage status.
Between contracts, many freelancers leave their savings in positions without active supervision. When the market moves against during this period of low activity, the reaction usually comes late: one sells at losses greater than necessary or maintains the position due to inertia.
Traditional investing assumes that the investor can monitor the market on a daily basis. That condition is not met when the focus is on capturing the next project.
Ovruxtali acts as a risk mitigation layer between the user's capital and market volatility. The system defines exit thresholds before a significant drop occurs, without requiring constant manual supervision.
The system is based on three components that work together: predictive modeling, automated stop-loss execution and real-time data ingestion.
The models analyze historical patterns and market correlations to estimate ranges of probable movement in the short and medium term. The output is not a single price prediction, but a distribution of scenarios that feeds the risk threshold calculation.
The exit point is not fixed: it is recalculated based on the recent volatility of the asset and the risk parameters defined by the user. This reduces the probability of premature closures in markets with normal noise, without increasing the maximum tolerated drawdown.
Prices, volumes and relevant macro variables are processed continuously. Any significant deviation from expected behavior triggers an immediate review of current thresholds.
Ovruxtali does not offer a promise of fixed returns. The platform focuses on a measurable goal: keeping drawdown within user-defined limits, adjusting exposure as market conditions change.
Each platform decision is documented: what threshold was applied, with what data and at what time. This traceability allows auditing the behavior of the system in any period.
The configuration process is linear and does not require advanced knowledge of financial markets.
The relevant accounts or wallets are linked. The platform ingests position history and associated market conditions to calibrate the initial model.
The user establishes the maximum acceptable drawdown and the time horizon of his surplus. These parameters determine the sensitivity of the trailing stop-loss.
The system monitors markets continuously, including weekends and non-main market hours, and makes adjustments without manual intervention.
When the purchasing power of the surplus is rapidly eroded, maintaining liquidity without active management implies an opportunity cost. Ovruxtali allows you to maintain exposure to assets with hedging potential while limiting the maximum loss if the scenario reverses, reducing the need for decisions under pressure.
Operational peace of mind during unstable price cyclesWhen closing a contract with a higher profit than usual, many freelancers choose to leave that surplus unmanaged due to lack of time. The platform allows this capital to be allocated with a predefined protection threshold, so that risk management does not depend on the user's daily availability.
Surplus management without daily supervisionDirect answers to the most common questions before linking an account.
Access depends on the broker or connected entity, not Ovruxtali. The platform does not hold funds: it manages risk parameters and sends closing orders when a threshold is activated. Settlement times follow the usual conditions of the market and the intermediary used.
In extreme and sudden movements, the model prioritizes exposure reduction over exit point accuracy. This may involve closings with a margin of slippage from the theoretical threshold, especially in markets with reduced liquidity. The stated goal is to limit loss, not to guarantee an exact exit price.
Connections to external accounts are made using encrypted credentials and permissions limited to reading and executing protection orders, without access to withdrawals. System activity logs are available for user auditing.
There's no need. The configuration is based on two decisions: the maximum acceptable drawdown and the capital time horizon. The rest of the calculation and execution process is managed by the model automatically.
The adjustment is based on the recent volatility of the asset, the distance from the defined threshold and the behavior of related market variables. The recalculation is continuous, not periodic, so the thresholds are updated as conditions change.
Set your risk thresholds before the next slow period between projects begins. The configuration review does not compromise any existing positions.