Trocavaleza processes the financial data of your business or portfolio and generates liquidity allocation recommendations based on predictive models, with results available in a public registry for verification.
Many SMEs and private investors in Argentina review their numbers manually, with scattered spreadsheets and without a consolidated view of their available capital. This delays decisions and makes it difficult to objectively compare alternatives.
Trocavaleza does not replace the judgment of the person who decides; It organizes the information and contrasts it with models so that this decision has a documented basis.
Connected data is processed continuously, without waiting for a monthly close to detect changes in liquidity position.
The models compare possible capital allocation scenarios based on historical behavior and current business conditions.
Each recommendation is accompanied by an exposure analysis, so that the decision considers the risk rather than just the expected return.
A central part of Trocavaleza is that recommendations and their subsequent performance are recorded in an open history. This allows any user to contrast what the model suggested with what actually occurred, rather than accepting the result without evidence.
Each recommendation is recorded with its date, the input data considered and the projected result. When the forecast horizon is met, it is compared against the actual result and both values remain visible in the history.
The objective is not only to show the successes: the record also includes cases where the projection deviated from the result, along with an analysis of the causes.
A business with seasonal sales usually accumulates liquidity in certain periods without a defined destination. Trocavaleza analyzes historical cash flow and suggests allocation horizons and ratios consistent with the business cycle, rather than leaving those funds unassessed.
Flow example: connection of cash data → identification of recurring surplus → allocation proposal with different levels of risk → monthly monitoring of the result.
An investor who manages several instruments needs to contrast his strategy with updated data, without depending exclusively on quarterly reports. The platform organizes this information and compares it against the models available in the public registry.
Example flow: loading current positions → risk classification → comparison with verified history → rebalancing recommendations.
The process is designed to be incorporated into the data that already exists in the business, without requiring a new system from scratch.
Existing sources are linked: bank accounts, management spreadsheets or accounting systems, depending on what the business already uses.
The data are normalized and the predictive models corresponding to the type of capital and the horizon considered are applied.
Alternatives are presented, ordered by risk and horizon, with the reasoning and assumptions that support them.
The result is compared with what was projected and the model is adjusted if business conditions change.
No predictive model eliminates uncertainty. Each recommendation is presented along with its estimated margin of error and the history of performance in similar cases, available in the public record, so that the final decision considers that context.
Data is transmitted and stored in encrypted form, and access is restricted to the corresponding account. The platform does not share individual data of a company or portfolio with third parties; only aggregated and anonymized results are part of the community verification record.
It depends on the alternative chosen. Each recommendation explicitly indicates the horizon and degree of availability of the capital involved, so that the decision maker can evaluate whether that term is compatible with their cash needs.
The analysis is continually updated as new data arrives, so recommendations reflect the most recent situation available, without the need to restart the process manually.
Yes. The performance tracker aggregates anonymized results from different portfolios, categorized by strategy type and horizon, so they can be compared before making your own decision.
The initial analysis takes the data you choose to share and returns a comparative overview of alternatives, with no commitment to continue beyond that review.
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