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Mercado YPFecto — AI-powered market data analysis dashboard
Financial Intelligence Platform

Investment decisions filtered by artificial intelligence and validated with historical data

Mercado YPFecto processes market information in real time and contrasts it against historical series of several decades before generating a recommendation. The objective is to reduce the noise of the raw data and provide an objective reading, aimed at the protection and sustained growth of capital.

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Analyzed horizon Multi-decade series
Data update Continuous, intra-session
Model validation Cross backtesting
Market Context

The volume of available financial data has grown faster than the human ability to interpret it.

An Argentine investor who follows exchange rates, rates, inflation and instruments in pesos and dollars manages, simultaneously, series that move with different logic and at different speeds. Reading that information by hand often leads to late decisions or reactions driven by short-term headlines.

Mercado YPFecto applies algorithmic filters on that same data before it reaches the user. The difference is not in accessing more information, but in discarding information that is not statistically relevant for a long-term strategy.

Monitored variables

Exchange rate, reference rates, inflation, fixed and variable income instruments, simultaneously.

Review Frequency

The models are recalibrated in response to regime changes, without waiting for monthly or quarterly reports.

Filter criteria

A signal is only prioritized when its historical behavior is consistent across multiple market cycles.

Analysis Engine

Three technical pillars support each recommendation that Mercado YPFecto provides

No signal reaches the user without going through the following three processes. This structure seeks to ensure that the final recommendation is reproducible and explainable, not a closed box.

01 · Historical Backtesting

Contrast against past cycles

Each candidate strategy is evaluated over previous historical periods, including episodes of high exchange rate and inflation volatility, before being considered suitable for production.

02 · Real Time Processing

Continuous reading of the market

Market variables are incorporated continuously during the session, allowing the system to detect trend changes without depending on daily or weekly cuts.

03 · Risk Mitigation

Automatic limits and controls

The system applies maximum exposure rules per asset and per category, designed to contain the impact of sudden movements on managed capital.

Engine technical specifications

  • Cross-validation over multiple independent time windows
  • Normalization of series adjusted for domestic inflation
  • Continuous correlation monitoring between asset classes
  • Recalibration of models in the face of changes in market regime
  • Auditable record of each recommendation generated
  • Separation between input data and decision logic
Methodology

A five-stage process, documented from end to end

Each recommendation can be traced backwards, from raw data to the final decision. This allows the system's reasoning to be audited at any time.

Data integrity: Market sources are incorporated without manual intervention prior to modeling, and records from each analysis cycle are available for review. No historical data is modified retroactively once a backtest has been validated.

01

Data collection

Market series, interest rates and macroeconomic variables are incorporated from public and private access sources.

02

Cleaning and normalization

Inconsistent or duplicate data are discarded and the series are adjusted to the same temporal and monetary base.

03

Predictive modeling

Machine learning algorithms identify recurring patterns in the behavior of the assets analyzed.

04

Historical validation

Each detected pattern is backtested over periods other than those used to train the model.

05

Recommendation generation

Only signals that pass prior controls reach the user, accompanied by their statistical justification.

Mercado YPFecto — team analyzing backtesting reports and artificial intelligence models
About the Focus

Accuracy before headline speed

Mercado YPFecto does not prioritize being the first to react to news. Prioritizes that the reaction, when it occurs, is supported by a statistically consistent pattern. This difference in criteria is what separates a useful signal from an emotional reaction to the market.

Learn more about the equipment and validation criteria in the section Us.

Application Cases

Two frequent scenarios among those who consult Mercado YPFecto

Family Planning
Planning horizon
Long term, multi-generational
Main focus
Inflation-adjusted capital preservation

Asset protection for middle-income families

Families seeking to protect accumulated savings from inflationary erosion, without assuming the volatility of short-term speculative strategies.

  • Initial diagnosis of the current composition of savings and investments
  • Simulation of scenarios on local and international historical series
  • Projection of capital trajectories under different macroeconomic assumptions
Corporate Reserves
Planning horizon
Medium term, strategic treasury
Main focus
Controlled liquidity with currency risk coverage

Strategic reserve management for small and medium-sized businesses

Companies that need to keep part of their liquidity available, but seek to ensure that these funds do not lose purchasing power while they wait to be used.

  • Segmentation of reservations by level of availability required
  • Projected allocation between instruments of different duration and currency
  • Periodic exposure and variation reports with respect to the base scenario
Frequently Asked Questions

Common questions about data accuracy and security

How accurate are the AI models used by Mercado YPFecto?

The models are validated through backtesting on historical periods different from those used to train them. This reduces the risk of overfitting, but does not imply that past performance guarantees future results: all projections are presented as a scenario, not a promise.

How does Mercado YPFecto protect the financial information in my accounts?

Input data is processed separately from user identification information, and access to analysis logs is restricted to auditable processes. No individual information is shared with third parties without express authorization.

Does the system replace professional financial advice?

No. Mercado YPFecto provides filtered information and data-driven projections, but the final investment decision remains the responsibility of the user or their financial advisor. The system is intended as an analytical input, not as a substitute for regulated advice.

What happens if macroeconomic conditions in Argentina change?

The models are recalibrated when regime changes are detected in key variables, such as the exchange rate or reference rates. This does not eliminate the uncertainty inherent in the local context, but allows recommendations to reflect the current scenario rather than outdated assumptions.

What type of investors can use the platform?

It is designed both for families that manage personal savings and for small and medium-sized companies that manage treasury reserves. The level of detail of the reports is adjusted according to the profile and the volume of capital involved.

Do you have another question about the methodology or data used? Write to us at [email protected] or visit the complete section Frequently Asked Questions.

Next Step

Request a data audit before making your next investment decision

A data audit reviews your current situation—savings, portfolio instruments, and planning horizon—and compares it to Mercado YPFecto models to identify where there is unnecessary exposure to market noise. It does not imply a commitment to contract.

  • Review based on data, not market opinions of the day
  • Confidentiality of information shared during the process
  • Delivery of a report with the criteria used in the analysis

Request Data Audit

Complete the form and an analyst will contact you to coordinate the next steps.