On the afternoon of May 30, 2023, our institution invited Mr. Huang Xiaoming, a partner of Guangzhou Hongmao Investment Management Co., Ltd., to give a lecture on the research and discussion of high-frequency futures trading.
Mr. Huang Xiaoming studied physics at Peking University as an undergraduate and graduated from the Clean Energy Laboratory of Institute of Physics, Chinese Academy of Sciences as a postdoctoral fellow. I have published 20 high-quality international SCI papers, cited over 1000 times, and have applied for 20 national patents, with more than 10 authorized. Mr. Huang Xiaoming has previously worked at Shanghai Ruitian Investment Management Co., Ltd., responsible for high-frequency research, with an annualized return rate of over 200% in actual trading. He has rich experience in quantitative trading and investment research system development. Red Cat Asset Management, affiliated with Professor Huang Xiaoming, was established in July 2015 with a registered capital of 23.8 million yuan. It was jointly initiated by domestic and foreign financial industry chains and IT elites, focusing on investment management. It is a member unit of the China Securities Investment Fund Industry Association and a private equity fund with the core concept of continuously and stably creating returns for clients.
At the beginning of the forum, Professor Huang Xiaoming first introduced the concept and characteristics of high-frequency trading, pointing out that as an important branch of quantitative investment strategy, high-frequency trading mainly accumulates small profits from each transaction to obtain returns. At the same time, he emphasized that transaction fees are an important cost that cannot be ignored and greatly affect whether trading is carried out. Subsequently, we provided a detailed explanation of high-frequency data, introducing several common forms and acquisition methods of high-frequency data, and pointing out the differences between these different forms of high-frequency data in practical work.
Afterwards, Professor Huang Xiaoming focused on strategy research and used real snapshot data and stock K-line charts to provide a detailed introduction on how to accurately analyze high-frequency data obtained in work and make quick and accurate judgments. Through the case of 'Oolong Finger', Professor Huang Xiaoming vividly demonstrated some phenomena in high-frequency trading, which also sparked everyone's thinking. Finally, Teacher Huang Xiaoming briefly described the relevant details of strategic trading.
During the questioning session, students actively and enthusiastically raised questions about actual handling of high-frequency data, as well as the differences between high-frequency data and mid low frequency data. Teacher Huang Xiaoming patiently answered each question and emphasized the need to make correct judgments based on reality, which benefited the students greatly. Through this industry forum, students have gained a deeper understanding of the general characteristics of high-frequency trading, as well as the sources of high-frequency returns and risks.
