This article explores the concept of AI-driven trading as a natural response to the massive evolution in financial markets and the surge in financial data resulting from globalization and the proliferation of digital trading platforms. It explains how AI has become an effective tool for analyzing big data, identifying patterns, and automating trading processes with greater precision and efficiency than traditional human methods. The article also details the concept of AI and its relationship with technologies such as machine learning, deep learning, neural networks, and reinforcement learning, and their role in supporting trading decisions. It reviews the key advantages of using AI in trading, such as continuous operation, error reduction, achieving a competitive edge, and protecting traders from potential losses. Conversely, the article discusses the drawbacks of AI, including economic and social threats, the lack of an ethical dimension, and vulnerability to malfunctions and viruses. It also clarifies the mechanism of automated trading using AI, from data collection, model training, and strategy development to execution and continuous learning. The article highlights the importance of trader awareness regarding costs, defining the operational framework, and selecting the appropriate strategy before relying on trading bots. It concludes by providing guidelines for choosing the right trading bot, while highlighting the role of the WEEX platform in supporting automated trading and improving the trader experience using AI technologies.
