The artificial intelligence model developed by Sber has been trained on historical data, studying the dynamics of quotations for various currency pairs. After training, the system learned to:
- Predict short-term changes in the market, comparing expected scenarios with real data.
- Identify anomalies — up to a hundred non-standard situations are recorded monthly, which can affect pricing.
- Optimize quotations taking into account the current market liquidity, minimizing sharp fluctuations.
This allows traders to quickly respond to changes and offer customers more favorable terms.
According to Alexander Zozulya, Director of the Global Markets Department at Sberbank, the new tool has become an indispensable assistant in working with currency: "Thousands of the bank's clients, both corporate and private, choose Sber for currency transactions. We offer access to more than 20 actively traded currencies. In financial markets, it is extremely important to quickly analyze large amounts of data in order to react to the slightest changes. A person is physically unable to cope with this alone. Our AI model increases the efficiency of traders and personalizes pricing. The result is an excellent tandem of human and artificial intelligence."
The implementation of the AI assistant is part of Sberbank's strategy for the digitalization of financial services. The technology not only speeds up data processing but also reduces the risks associated with the human factor. In the future, the bank plans to expand the functionality of the system, including more complex forecasting algorithms and integration with other trading platforms.
Sberbank continues to strengthen its position in the fintech solutions market, demonstrating how modern technologies can transform traditional financial processes.