How the system makes decisions: from raw data to recommendations
Many providers of algorithmic solutions treat the decision-making mechanism as a closed "black box". Majętnica Advisors takes the opposite approach - it describes the structure of the process without revealing only the code itself.
The system continuously analyzes market data streams - rates, volumes, order book depth and volatility indicators. On this basis, risk prediction is performed for individual assets, and the result is sent to the module responsible for optimizing portfolio decisions.
- 01Aggregation of data from multiple market sources in real time, without the delays typical of manual analysis.
- 02Volatility scenario modeling to estimate the likelihood of adverse price movements.
- 03Adjusting the portfolio allocation to the adopted risk profile, without emotional interference in the decision-making process.