Slickorps, a smart trading platform, announced the launch of an artificial intelligence (AI) based quantitative service to expand user access to automated trading strategies, including in quantitative trading scenarios and high-frequency transactions.
This service is designed to simplify the quantitative trading process, which has been known to be complex, both in terms of strategy development, execution, and risk control. Through integration in one integrated system, Slickorps targets a reduction in barriers for users in utilizing AI-based trading technology.
Slickorps Chief Operating Officer, Alfred Erik Smith, said that so far, quantitative trading tends to only be accessible to professionals because it requires technical expertise and high discipline in execution.
"We want to integrate previously separate capabilities between strategy, execution, and risk management into a service that is easier to understand and use on an ongoing basis," Alfred said in his statement, Tuesday, April 28.
Unlike the conventional approach, this service relies on algorithms and data systems to respond to market dynamics automatically. Strategies are carried out within a predetermined framework to minimize the influence of emotional factors and human bias in decision-making.
Slickorps assesses that the use of an automated system not only helps time and operational cost efficiency, but also increases consistency in the execution of strategies, especially in the midst of dynamic market conditions and information overload.
The launch of this service also reflects the trend of the smart trading industry which is beginning to focus on the implementation of more practical and accessible products. As AI technology and data processing capabilities develop, competition between platforms is now increasingly determined by the quality of services, user experience, and stability of strategy execution.
Going forward, Slickorps states that it will continue to develop AI capabilities, improve user experience, and strengthen system efficiency to encourage wider adoption of smart trading.
"Quantitative trading is now beginning to transform from an exclusive tool for professionals into a service that can be accessed by more users," said Alfred.
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