Felmira Uxqeno continuously analyzes large volumes of market data and generates investment recommendations based on back-tested models, without requiring your constant presence in front of a screen.
Access the platformAn investor who regularly changes time zones cannot monitor the markets with the same consistency as a sedentary manager. Decisions made in haste, between two flights or two unstable connections, are statistically more exposed to emotional bias.
Felmira Uxqeno acts as an analytical filter placed between raw information and decision. The system does not replace your judgment, it takes fatigue, urgency and impulsive reaction to short-term volatility out of the equation.
Each recommendation is based on a documented historical simulation, and not on current market intuition.
Each recommendation goes through four distinct, documented and repeatable stages. No decision is made without prior validation on historical data.
Continuous ingestion of price series, trading volumes and macroeconomic indicators from structured market sources.
Each candidate strategy is simulated over past market cycles, including decline phases, to measure its real resistance.
Model parameters are statistically adjusted to reduce overfitting and preserve generalizability.
Positions are opened and adjusted in real time according to predefined risk thresholds, with no manual intervention required.
The system monitors the markets around the clock and applies adjustments predicted by the model, whether you are logged in or not. You consult the results, you do not manage each operation.
Decision thresholds are calibrated on historical data rather than subjective expectations.
Each position includes a loss limit defined in advance, independent of the emotion of the moment.
Simplified representation of a backtest cycle over several consecutive market periods, including bearish phases.
The results presented come from mathematical simulations applied to historical data. They are not a guarantee of future performance, but a decision framework based on verifiable evidence rather than speculation.
The engine relies on structured market feeds including historical prices, trading volumes and public macroeconomic indicators. This data is normalized before entering the back-testing pipeline.
Each strategy integrates fixed risk parameters, in particular maximum loss thresholds per position, defined before execution and cannot be modified during the operation under the influence of emotion.
You define the general framework — allocated capital and risk tolerance. The system executes and adjusts positions within this framework, without requiring manual validation for each operation.