Dobytnica Holdings combines predictive analytics with risk modeling to turn funds sitting idle in your business account into actively monitored, optimized capital - without the need for an analytics team.
Market context
Most small and medium-sized businesses keep operating surpluses in checking accounts for one reason - manual market analysis requires time, knowledge and constant supervision that the business owner usually does not have. As a result, capital that could be put to work remains stationary.
Uninvested funds lose purchasing power at the rate of inflation, even if their nominal value does not change.
Every month of delay in market analysis means missed liquidity windows that a 500+ pair monitoring system would have detected automatically.
Tracking correlations between instruments requires analytical tools that are beyond the budget and time of a typical SME to implement.
System mechanics
The system simultaneously scans over 500 market pairs, combining liquidity, volatility and correlations into one decision-making model. The result is not a single forecast, but a set of allocation variants tailored to your company's declared risk appetite.
The algorithm observes a wide set of instruments at the same time, instead of limiting itself to a few popular pairs - thanks to this, it captures liquidity anomalies invisible in point analysis.
Instead of one number, the system presents a distribution of probable results, which allows you to assess the risk before making an allocation decision.
Each recommendation is limited by a previously established risk limit - the system does not propose allocations exceeding the profile approved by your company.
The configuration is based on data from the company account, without the need to change the existing accounting or banking system.
You indicate the amount of the surplus and the acceptable level of risk.
The system analyzes current liquidity and volatility in over 500 pairs.
You receive variants of activities with a description of the risk of each of them.
The model constantly verifies market conditions and signals changes.
Risk management
Before the system proposes any allocation, it calculates the maximum potential loss for a given market scenario. Recommendations exceeding the declared risk threshold are not presented at all - the decision to accept the variant always rests with you.
Financial data and access data are encrypted both in transit and at rest. Only authorized persons designated by your company have access to the account configuration, and each change in risk parameters is registered.
The infrastructure is separated in layers - the analytical module does not have direct access to funds, but only to the data necessary to prepare recommendations.
The data transferred to the system is used only for analytical purposes related to the operation of your account and is not made available to third parties for marketing purposes.
The scope of processed data is limited to the minimum necessary to prepare an investment recommendation.
Transparency of methodology
Instead of customer opinions, we present the mechanics of the system - so that the decision to implement is based on understanding the process, and not solely on trust in the brand.
The model pulls price and market depth data directly from the trading platforms covering the monitored pairs. Each data stream is verified for temporal consistency before it reaches the analytical layer.
Historical data is used only to calibrate the model and not as the basis for a single investment decision.
The model is trained on data sets covering a variety of market conditions - both periods of low and high volatility. Thanks to this, the recommendations do not assume one, constant market scenario.
The model parameters are periodically revised based on the quality of previous recommendations, which helps limit deviations resulting from changing market conditions.
The analysis of over 500 market pairs is carried out periodically, and detected changes in liquidity are reflected in recommendations without undue delay. The goal is not to compete in speed with high-frequency algorithmic trading, but to provide an up-to-date view of the market as your company makes decisions.
The system demo shows the real configuration - without obligations and without the need to transfer funds. You get insight into what an allocation recommendation would look like under current market conditions.