About the Project
Whether there is a pattern behind the ups and downs of the stock market has always been a controversial topic. On one hand, the technician looks at historical price charts to make decisions. On the other hand, fundamental analysts utilize data from various sources. In particular, financial news is a vital asset considering the vast amount of it circulating in our daily life. Our goal here is to utilize Natural Language Processing on the textual data of news, which further prediction is based on using multiple algorithms from Machine Learning, and also to improve the existing computational efficiency.
What we do
Data Retrieval
Collect data, including market news and stock price, from online sources automatically.
Data Preprocessing
Implement Natural Language Porcessing Techinques to extract useful data from the data set.
Feature Identification
Analyze the preprocessed dataset, and identify the features which affect the stock price more significantly.
Stock Price Prediction
Predict the stock price based on the models that are constructed after the learning process.
Computation Distributing
Implement Parallel computation Techinques to distribute the price prediction workload
Prediction acceleration
Accelerate the stock prediction process via parallel computation on GPU.
Documents
These documnets are deliverables for HKU COMP4801 Final year project. They will be uploaded according to 2018/19 Timetable.
Architecture Design
Timeline
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Deliverable of Phase 1
- Project Plan
- Project Website
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Research on related studies
Get hands on experiences
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Preliminary Implementation
- Validate data sources
- Build prototypes
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Deliverable of Phase 2
- Preliminary implementation
- Interim Report
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Developement
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Testing and Optimization
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Final report submission
Final project presentation
Final presentation poster design
Final project exhibition
Our team
Dr. SM Yiu
Supervisor
Ru Chiang
Team member
Justin Wang
Team member
Ray Huang
Team member
Drop us a line
Address
The University of Hong Kong, Pokfulam, Hong Kong
enquiry@cs.hku.hk