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Nov 2025
(Wed)
How to Design a Stock Price Predictive System for Swing Trading (短炒)? (12 Nov 2025)
- Subject
- FinTech and Financial Analytics
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- Date & time
- 12Nov 2025 (Wed)13:00 - 13:45
- Fee
- Free
Mr Danny W. C. Chan
Mr Chan, FRM, has possessed rich experience in financial risk management, information technology and data science and worked as IT Manager over a decade. Being a practitioner in information technology, he is currently a consultant and trainer at Big Data Consultancy Services Company. Also, he is strong in Cloud-based solutions, Big Data Technology, Data Mining and Machine Learning. Moreover, Mr. Chan has obtained a Bachelor Degree in Mathematics from The Chinese University of Hong Kong as well as three Master Degrees in Risk Management Science from The Chinese University of Hong Kong, Quantitative Analysis for Business from City University of Hong Kong and Industrial Logistics Systems from The Hong Kong Polytechnic University.
- Enquiry
- 2867 8331 / 2867 8424 (finedec@hkuspace.hku.hk)
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To design a stock price analytics system, we need to do the following:
- Collect historical stock prices
- Transform the collected stock price record to an appropriate format for presentation
- Present the transformed stock price datasets in a useful layout to facilitate analytics and investors’ review.
In this talk (webinar), the speaker will showcase how to design a stock price analytics system with a BI approach. This would give you a fresh view of the practical use of data automation and data visualization techniques.
During this webinar, you will explore how a stock price analytics system for short trading will help you to:
- identify the good stocks for the action (either call or put)
- review the past performance of all past predictions in an organized way, with summary, details and performance measures.
- Handle HK stocks, US Stocks and even Cryptocurrencies.
- Visualize the predictions with reference to price trend with a candlestick chart.
This is an advanced application of data analytics techniques with common financial data. You will find this webinar inspiring and will give you food for thought on how to make use of learnt data techniques for financial use.
Sample Screenshots below:


