Pumaria processes market data in real time using artificial intelligence models that were previously exclusive to institutional funds. The platform translates this analysis into clear recommendations, adapted to the risk profile of each user.
No permanence commitments. Results based on verifiable historical data.
For an investor who is just starting out in the Peruvian market or in international markets, daily volatility may seem erratic. News, rumors and short-term fluctuations lead to hasty decisions.
That emotional bias—selling out of panic or buying out of euphoria—usually costs more than the market crash itself.
Pumaria applies artificial intelligence models to separate short-term noise from structural trends. The system does not react to headlines; responds to statistically validated patterns.
The result is a recommendation that does not depend on the investor's mood, but on the evidence accumulated in the data.
Backtesting is the process of validating a strategy by applying it to real historical data, as if it had been run in the past, to see how it would have performed.
At Pumaria, no strategy reaches the user without being tested against decades of market data. This does not guarantee future results, but it allows us to rule out models that only work in theory.
The goal is for each recommendation to have a measurable track record, not a promise.
The system processes millions of data points in real time: prices, volumes, macroeconomic indicators and market signals from different sources.
Neural networks identify hidden patterns that are not evident through manual analysis, crossing variables that usually go unnoticed.
The model provides a clear indication of buying, selling or holding, adjusted to the risk profile declared by the user.
Pumaria does not guarantee profits: no serious system can. What it offers is a statistical reduction in risk, measurable through metrics such as the variance of returns and maximum exposure per asset.
Two mechanisms underpin this approach: intelligent diversification between assets with different correlations, and algorithmic stop-loss, which automatically limits exposure when a position deviates from defined parameters.
Pumaria was born from the need to bring predictive analysis tools – previously reserved for institutional funds – to individual investors in Peru and the region.
Each recommendation is accompanied by its rationale: what data was used, what pattern was identified, and why the model reached that conclusion. Methodological transparency is part of the product, not an annex.
Instead of customer quotes, Pumaria publishes verifiable indicators of its own performance.
Access a free initial analysis and review how the model interprets your risk profile before making any decisions.
The information generated by Pumaria is a support tool. Financial education remains the responsibility of each investor and we recommend complementing any analysis with your own criteria.