Hybrid Intelligence for Stock Market Analysis and Prediction

Yuet Yu Chan, Ka Chun Tang, Ka Kiu Mok, Henry C.B. Chan, Kenny Sing Hing Tang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In recent years, there has been considerable interest in FinTech. One of the most popular research areas in FinTech is related to stock market analysis in general and stock price prediction in particular. In collaboration with the industry, this paper introduces an innovative concept called "Hybrid Intelligence"(HI), which aims to combine human intelligence and artificial/machine intelligence. We present our ongoing work with current results from the HI project. First, we present the HI website we are developing and some interesting data analytics for the Hong Kong stock market. In particular, we discuss interesting findings on the effectiveness of some technical indicators based on the Hong Kong stock market. Second, we present an AI model to predict the Hong Kong Hang Seng Index (HSI) on a weekly basis. Furthermore, the predictions can be enhanced by means of hybrid intelligence, taking into consideration the weekly voting of financial analysts in Hong Kong. Last but not least, we further discuss hybrid intelligence by using an AI model to predict the stock prices of stocks recommended by financial analysts in Hong Kong.

Original languageEnglish
Title of host publicationProceedings - 2023 IEEE 47th Annual Computers, Software, and Applications Conference, COMPSAC 2023
EditorsHossain Shahriar, Yuuichi Teranishi, Alfredo Cuzzocrea, Moushumi Sharmin, Dave Towey, AKM Jahangir Alam Majumder, Hiroki Kashiwazaki, Ji-Jiang Yang, Michiharu Takemoto, Nazmus Sakib, Ryohei Banno, Sheikh Iqbal Ahamed
PublisherIEEE Computer Society
Pages1161-1166
Number of pages6
ISBN (Electronic)9798350326970
DOIs
Publication statusPublished - 2023
Event47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023 - Hybrid, Torino, Italy
Duration: 26 Jun 202330 Jun 2023

Publication series

NameProceedings - International Computer Software and Applications Conference
Volume2023-June
ISSN (Print)0730-3157

Conference

Conference47th IEEE Annual Computers, Software, and Applications Conference, COMPSAC 2023
Country/TerritoryItaly
CityHybrid, Torino
Period26/06/2330/06/23

Keywords

  • FinTech
  • Hybrid intelligence
  • Stock data analysis
  • Stock price prediction

ASJC Scopus subject areas

  • Software
  • Computer Science Applications

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