Optimize your capital and reduce risk through advanced predictive models. The data analytics platform that transforms volatility into actionable opportunities.
Explore live performanceThree capabilities underpin each recommendation: early pattern detection, continuous risk adjustment, and large-scale processing.
Algorithms that identify patterns before they become market trends, reducing reaction time to sudden changes.
Automatic parameter adjustment based on volatility detected in large volumes of data, without the need to manually recalibrate each position.
Processing of thousands of simultaneous variables to generate personalized recommendations according to the profile and objectives of each user.
Transparency is our pillar. Access the history of predictions and results, reviewed by the community of analysts who use the platform daily.
Each published prediction is associated with its actual result, without subsequent exclusions. Community analysts can audit the entire history, including operations where the model deviated from expectations.
This registry is not a substitute for professional financial advice: it is a verification tool intended for you, and not just us, to judge the consistency of the model over time.
The process is divided into three phases, designed so that each step is verifiable and not a black box.
Secure connection to global and local data sources, including markets, macroeconomic indicators and sector signals.
Cleaning and analysis using deep learning models, which filter out noise and detect relevant correlations between variables.
Delivering insights ready for strategic execution, with reasoning and source data available for review.
Solventaje adapts to the type of decision you need to make, whether managing a personal portfolio or planning company operations.
The model combines sentiment analysis with financial fundamentals to pinpoint assets whose current price does not yet reflect the available information, leaving the final decision in the hands of the investor.
The demand forecast is continually recalculated as new data from sales, logistics and macroeconomic variables comes in, rather than relying on a static monthly report.
Demand forecast based on macroeconomic variables, sales history and seasonality, aimed at reducing both excess inventory and stockouts.