EX474: Quanto: AI-Powered Autonomous Trading Intelligence

TAN CHI FENG Universiti Sains Malaysia (USM)

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Quanto: AI-Powered Autonomous Trading Intelligence is an intelligent financial technology platform designed to democratize access to advanced AI-driven trading capabilities traditionally available only to institutional investors. The platform integrates deep learning technologies, including TensorFlow-based market prediction and a hybrid CNN-BiLSTM sentiment analysis model, to transform real-time market data and financial news into autonomous, data-driven trading intelligence through an intuitive mobile application. Unlike conventional trading platforms that rely on rule-based strategies or require extensive programming expertise, Quanto provides an end-to-end ecosystem that enables retail investors to discover, evaluate, backtest, deploy, and monitor AI-powered trading strategies within a user-centric environment. By integrating explainable visual analytics, automated paper trading, and cloud-based deployment, the platform simplifies intelligent trading while promoting transparent, evidence-based financial decision-making. Beyond technological innovation, Quanto advances financial inclusion by lowering the barriers to sophisticated investment technologies, enhancing financial literacy, and empowering individuals to participate confidently in the digital economy. Aligned with the "Driving Innovation Forwards" theme, Quanto demonstrates how autonomous AI can bridge cutting-edge intelligent computing with practical financial applications, delivering a scalable, accessible, and impactful solution for the next generation of intelligent financial ecosystems.