Vlogarnost monitors more than 500 trading pairs simultaneously and provides companies with data-based signals for liquidity allocation, without manual market monitoring.
Get started nowCash in business accounts loses real value when it does not keep pace with inflation or market opportunities. Manually monitoring ten or more financial instruments is manageable, but at 500 pairs it becomes physically impossible without automation.
The result is an analytical lag: decisions are made based on data that is hours or days old, while market conditions change more quickly.
The system is not based on general forecasts, but on concrete models that process market data continuously and transform it into useful input data for decision-making.
Algorithms process price patterns and volume at millisecond intervals, making it possible to detect moves as they occur, not the next day.
The platform simultaneously monitors currency, stock and commodity pairs, which exceeds the capacity of any manual analytical team.
Each signal comes with a numerical risk score calculated based on historical volatility and current market conditions.
Every step is traceable, so the finance team can check at any time on what basis each recommendation was made.
The system continuously pulls price and volume data from global markets for all 500+ pairs monitored.
The models filter the noise, recognize repeating patterns and eliminate signals that do not reach the required statistical reliability.
The result is a clearly structured recommendation with a risk assessment that management can immediately use in capital allocation decisions.
When dealing with excess liquidity, capital preservation is as important as yield. Vlogarnost therefore checks each signal before displaying it through a volatility prediction model that estimates the probability of sudden market movements.
Recommendations that exceed the set risk threshold are clearly marked so that the decision maker always sees the relationship between potential return and exposure.
Answers to technical and operational questions most frequently asked by finance teams before implementation.
The platform connects via an API with the company's existing financial infrastructure. The first signals are available after establishing a connection and validating data sources, without the need to change existing banking or accounting systems.
Vlogarnost aggregates publicly available market data from exchanges and trading platforms for all 500+ monitored pairs. The data is refreshed continuously, enabling real-time analysis without dependence on a single source.
The model also takes into account market depth and the spread between the bid and ask price for each recommendation, which reduces the risk of recommendations that cannot be implemented in practice without affecting the price.