Artificial intelligence applied to investment
Zetapatrimencia analyzes the market in real time and adjusts a dynamic stop-loss based on volatility. Protect your position without monitoring screens all day. Automate exit before a downturn deepens.
Example of system behavior
The cost of reacting late
A first-time investor usually sells in panic or holds a losing position out of hope. Both behaviors magnify the real loss compared to a system with fixed rules.
When the market falls, the reaction time determines the size of the loss. An operator without an automated system reviews the price, hesitates, and acts when the fall has already advanced several points.
Zetapatrimencia replaces that delay with a rule executed at the time the condition is met, without depending on the mood of the day.
| Scenario | Maximum drop | Estimated recovery time |
|---|---|---|
| Manual operation, no output rule | -18.4% | 7 to 10 months |
| Manual operation, with late exit | -11.2% | 4 to 6 months |
| Dynamic stop-loss Zetapatrimencia | -4.8% | 4 to 8 weeks |
How protection works
Each module fulfills a specific function within the system. None acts in isolation.
It works as a mobile barrier. It adjusts when the price rises to protect profits and remains firm when the market stabilizes. The distance of the barrier depends on the measured volatility, not an arbitrary fixed percentage.
The system processes prices, volume and short-term variations continuously. Information is updated without manual intervention, eliminating the delay typical of daily analysis.
Before activating a strategy, Zetapatrimencia calculates a score that summarizes the current exposure. The user sees that number before confirming, not after trading.
Process transparency
The user defines the final parameters. AI does not operate with complete autonomy over capital.
Prices, volume and market variations are collected from financial data sources updated by the minute.
The model estimates the probability of short-term setback and recalculates the protection barrier according to that estimate.
When the user-defined condition is met, the system executes the output without waiting for manual confirmation.
About the platform
Zetapatrimencia does not promise returns. It offers a layer of control over risk that is normally left to human reaction.
The system was built to operate with clear parameters: the user defines how much he is willing to lose before the protection is activated. AI takes care of precise execution at the right time.
It is not an investment advisor nor does it replace the user's judgment about which assets to choose. It is a risk management layer that acts on already defined positions.
Before starting
We do not require a fixed minimum. The system adapts to the size of the position that the user defines, from small amounts.
The data is transmitted and stored under encryption protocols equivalent to the usual banking standards in Argentina.
Access to funds depends on the connected broker or exchange. Zetapatrimencia does not hold capital or manage withdrawals directly.
The guardrail is most frequently recalculated in high volatility scenarios, without manual intervention.
No. The user defines the risk parameters before activating any automatic execution.
Evidence on model behavior
Results based on historical simulation, not promises
We do not show testimonials. We show how the model behaved against market data that has already occurred.
Simulated drawdown reduction
Based on historical models applied to price series of the last recorded volatility cycles.
Data encryption
Encryption protocols equivalent to those used by banking entities to safeguard sensitive information.
Service Availability
Continuous infrastructure monitoring to minimize interruptions during active market hours.