Artificial intelligence for investors
Farkas City analyzes the markets in real time and automatically adjusts the protection levels of your portfolio. Less screen time, more control over risk.
The curve shows how the system reduces the depth of portfolio declines compared to a strategy without active protection, adjusting the exit threshold according to the volatility detected in each market session.
The context
Between work, kids, and daily obligations, checking the markets multiple times a day isn't feasible for most investing parents. A sharp, sustained decline can erode years of savings in weeks, especially when no one is monitoring the position at the exact moment.
Farkas City was built to operate without constant supervision. The system continuously monitors positions and applies automatic exit rules when it detects sustained deterioration, without depending on you checking a screen.
Central mechanism
The Farkas City engine combines price series, implied volatility and volume to calculate, for each instrument, the point at which holding the position is no longer reasonable. That threshold is recalculated continuously, not once a day.
The system processes prices, volume and volatility of each asset in the portfolio throughout the market session.
A predictive model estimates the probability that the current move will turn into a sustained decline.
The protection level is recalculated based on current conditions, instead of remaining fixed from the beginning.
When the exit condition is met, the order is executed immediately, without waiting for manual review.
Capabilities
The models are trained with historical series and live market data to estimate the probability of different price scenarios in the short term. They do not promise certainty, but they do promise a quantitative basis for deciding when to reduce exposure.
Price, volume and volatility information is updated continuously during the trading day. Protection decisions are based on current conditions, not a data cut from the previous day.
Once the risk parameters are configured, the system operates without requiring daily review. Alerts are reserved for relevant events, not normal market fluctuations.
How we work
Instead of generic testimonials, we explain where the data comes from, how the model is validated, and what risk limits are applied by default.
Data source
Prices, volumes and volatility metrics come from standard market data providers in the financial industry, updated during the trading hours of each instrument.
Validation
Each version of the model is evaluated against historical periods of high volatility before going into operation, comparing its behavior against traditional fixed exit rules.
Risk management
Each portfolio operates under a maximum loss limit per position, configured before activating the system. Smart stop-loss adjusts the exit point within that frame, never outside of it.
Set your risk limits once and let the system take care of the rest. You can request a guided demo or create your account directly.
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