Project Name: Fortan Quant AI
Investment period: June 2021
Investment size: US$3 million
Partner: AlgoCore Labs, Silicon Valley, USA
In the early stages of the project, Fortan established a strategic partnership with AlgoCore Labs in Silicon Valley, USA, jointly forming the "Fortan Quant AI Research Group." This research group focuses on developing digital asset trading signal algorithm models based on Python and TensorFlow. The goal is to build an AI-driven system that can improve trading efficiency and accuracy.
In early 2022, the first-generation algorithm system (FT Signal 1.0) was officially launched. This system initially achieved an automatic signal accuracy rate of 72%, providing valuable trading references for platform users. After continuous optimization and iteration, by the end of 2022, the signal system was successfully upgraded to version 2.0. This upgrade significantly improved the algorithm accuracy, reaching 90%. This improvement directly contributed to a 280% increase in the number of active users on the platform.
Furthermore, the FT Signal system developed in this project was incorporated into the Fortan core module, becoming the basic architecture for subsequent AI signal systems and laying a solid foundation for future algorithm development.
Fortan Quant AI project, in collaboration with AlgoCore Labs, has successfully developed and iterated a digital asset trading signal algorithm model. This project has not only delivered substantial returns on investment but also significantly improved user activity and profitability, laying a solid foundation for Fortan's development in the field of AI-driven quantitative trading.