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18
5月 2021
(星期二)

Big Data Theme Talk - AI and Algorithmic Trading for Quantitative Investment (18 May 21)

相關學科
金融科技
列印

感謝各位熱烈參與！

以上活動經已圓滿結束，敬請密切留意學院稍後活動。

活動重温

日期及時間
2021年5月18日 (星期二)19:30 - 20:00
地點
Zoom Webinar
費用
免費
講者
  • Dr. Simon Yiu

Dr. Simon Yiu

Dr. Simon Yiu, IT Department Head of a financial institution in Hong Kong, he handled many fintech initiatives and projects, such as Algo trading, finance big data analytics, Robo-advisors etc. Before that, he also worked for AI, and Machine learning startup as co-founder and CTO which located at a Hong Kong Science Park and participant at University organized Entrepreneurship Center in 2010, they focus on AI, Machine Learning, Big Data analytics and Natural language processing etc. Furthermore, He has hands-on programming experiences in fintech areas for over 10 years. Simon earned a Doctoral Degree in Business Administration from the City University of Hong Kong and a Master Degree in Data Science and Business Statistics from The Chinese University of Hong Kong.

查詢
2867 8331 (finedec@hkuspace.hku.hk)
相關課程
Executive Certificate in AI and Deep Learning in Quantitative Finance Executive Diploma in Financial Analytics Executive Certificate in Big Data, A.I. and Investing Executive Certificate in Text Analytics and NLP with Financial Technology Executive Certificate in Interpretation and Visualization of Business Big Data Certificate for Module (Business Analytics and Web Scraping) Postgraduate Diploma in Finance and Data Analytics Big Data and FinTech Executive Workshop Series - Big Data and Data Visualization Big Data and FinTech Executive Workshop Series - Applied AI and Business Analytics
更多相關課程
備註

Language: Cantonese (Supplemented with English)

AI and Algorithmic Trading for Quantitative Investment

With the advancement of AI and computational technologies, algorithmic trading is commonly using in quantitative investment by using automated pre-programmed trading instructions based on time, price and volume. The strategies of algorithmic trading powered by deep learning are being created and backtested using historical data for performance evaluation. Also, the computerized trading algorithm can help investors to avoid behavioral biases and errors as well as facilitate high-frequency trading. Our speaker would like to share his valuable experience and professional views about algorithmic trading during the theme talk.