- The "Information Distribution Uniformity" (UID) factor is introduced as part of the "volatility stock selection factor" series, aiming to improve traditional volatility factors by leveraging high-frequency minute-level data to construct a more effective stock selection factor[6][7] - The construction process of the UID factor involves calculating daily high-frequency volatility using minute-level stock data and then deriving the UID factor based on the uniformity of information distribution. This factor is designed to outperform traditional volatility factors in stock selection[6][10] - The UID factor demonstrates strong performance metrics in the A-share market from January 2014 to October 2025, with an annualized return of 26.68%, annualized volatility of 9.89%, an IR of 2.70, a monthly win rate of 78.72%, and a maximum monthly drawdown of 6.05%[7][12] - In October 2025, the UID factor's 10-group long portfolio achieved a return of 4.49%, the short portfolio achieved a return of 0.76%, and the long-short hedged portfolio achieved a return of 3.72%[10] - The UID factor is evaluated as having significant stock selection capabilities, even after removing common market style and industry interferences. Its annualized ICIR remains at -3.17, showcasing its robustness and effectiveness in capturing unique information[6][7]