Within our team, we prioritize full transparency and open access to all models and factors. This approach allows us to benefit from our sharing platform and assessment mechanisms, fostering idea exchanges and cultivating an open, transparent, collaborative, and sharing culture. Through collective efforts, our team engages in research, model construction, and idea exchange, continuously enhancing our investment and research capabilities.

Through in-depth research, the team has developed a comprehensive factor and model library over the years. This lays the foundation for our investment professionals to construct differentiated model-driven investment strategies.

With more than a decade of in-house development, E Fund has established a robust quantitative investment and research system. This system seamlessly integrates various functions, including research, investment, trading, risk management and performance analysis. By integrating external resources and fostering idea sharing, we optimize efficiency at every stage of the investment and research process. We continuously enhance and upgrade this system to strengthen the capabilities of our team.

Our quantitative investment team works closely with the active equity and Fin-tech teams, sharing data, research and product innovation ideas. Through the formation of cross-team research groups, we leverage the strengths of each team in quantitative modeling, fundamental research, and data algorithms. This collaborative approach enables us to develop innovative investment strategies that seek stable and outstanding returns.