23.03.2026 16:31
As the impact of artificial intelligence technologies in the financial sector rapidly increases, experts predict that these technologies are expected to contribute $15 trillion to the global economy by 2030. It is noted that with the increasing data density in financial markets, the use of AI-supported systems is also gaining momentum.
According to industry reports, the artificial intelligence-supported financial technology market is expected to exceed 190 billion dollars by 2030, while it is stated that algorithmic trading systems have become widespread in recent years.
Experts say that the acceleration of data flow in financial markets directly affects investors' decision-making processes. Thanks to artificial intelligence-supported analysis systems, market data can be processed in a much shorter time, and risk management processes can be conducted more systematically.
THE IMPACT OF ARTIFICIAL INTELLIGENCE IN FINANCIAL DECISION-MAKING PROCESSES IS INCREASING
The increase in the use of artificial intelligence in financial markets contributes to the acceleration of data analysis processes and makes decision mechanisms more data-driven. With advanced algorithms, market data can be analyzed in real-time, and processes can progress more quickly.
It is stated that the impact of these technologies has become more pronounced, especially in markets with continuous trading and high data flow.
"ARTIFICIAL INTELLIGENCE IS TRANSFORMING FINANCIAL PROCESSES"
Gracy Chen, CEO of Bitget, stated that artificial intelligence technologies are playing an increasingly decisive role in financial infrastructure. In her evaluation on the subject, Chen said, "Artificial intelligence technologies help users manage their trading processes more quickly and based on data. The widespread adoption of these technologies makes financial systems more accessible and efficient."
Chen also emphasized that one of the most important issues for investors and market participants is access to different assets from a single point, system stability, and flexible trading opportunities.
NEW TECHNOLOGIES AND PLATFORMS ARE BEING DEVELOPED
With this transformation, new platforms and tools in the field of financial technologies continue to be developed.
In this context, the Agent Hub platform developed by Bitget has been updated with new features for artificial intelligence-based trading systems. Thanks to the Skills module and command line interface (CLI) added to the platform, systems can access market data more quickly and implement different strategies more effectively.
The Agent Hub platform operates with nine main capability modules and 58 different tools, while developers can integrate the system with a three-step setup.
The platform also offers many different functions such as spot and futures trading, account management, and asset tracking in an integrated manner with artificial intelligence.
NEW INFRASTRUCTURE FOR DEVELOPERS
Financial technology companies are also expanding their technical infrastructure to support the development of artificial intelligence-based applications.
The REST and WebSocket API systems offered by Bitget enable low-latency data flow, allowing developers to create automated trading systems, quantitative investment strategies, and artificial intelligence-based financial applications.
According to experts, the development of artificial intelligence-supported systems marks the beginning of a new era in the functioning of financial markets.