Abandoning Manual Trading? AI Begins to Be Used in Market Strategy Execution

Jakarta, VIVA – The development of artificial intelligence (AI) technology in the financial sector continues to be accompanied by changes in the trading methods used by market participants. One change that is starting to become evident is the increasing use of automated systems in the execution of trading strategies.

This situation is occurring alongside the growth of platforms that utilise data and algorithms to support transaction activities in the market.

The intelligent trading platform and diversified asset management, Slickorps, has announced the launch of its AI quantitative service. The service is designed to provide automated strategy execution and expand the application of AI technology in quantitative trading and high-frequency transactions.

According to the company’s explanation, quantitative trading has generally required considerable technical expertise. The process involves designing strategies, executing transactions, and continuously managing risks.

Through this new service, the platform combines several of these processes into an integrated system. Slickorps Chief Operating Officer, Alfred Erik Smith, stated that previous quantitative approaches had several barriers in terms of implementation and user access.

“We hope that through the AI quantitative service, we can integrate complex capabilities that were previously separated between strategy, execution, and risk control into products and services that are easier to understand and can be used sustainably,” said Alfred Erik Smith, as quoted from a press release on Monday, 27 April 2026.

Technically, the AI quantitative service works by using algorithmic models and data systems to continuously monitor market movements. The system then executes strategies based on pre-determined parameters.

This approach is designed to reduce the influence of emotional factors in trading decision-making. Compared to manual methods, this automated system does not rely on direct decisions by market participants for each transaction.

Execution is carried out based on programmed data and rules, so the results are expected to be more consistent in various market conditions. The use of AI-based systems in trading also forms part of the digitalisation trend in the financial sector.

The increasing volume of data and the speed of market changes make algorithm-based approaches increasingly used to assist in faster analysis and execution processes.