| Date | Events & Milestone |
|---|---|
| 1st, Oct | Deliverables of Phase 1 (completed): Inception
- Complete the project plan - Build a project website |
| 1st, Sept to 15th, Oct | Study the theory & related knowledge (completed)
- Deep learning - Python programming - Financial products |
| 16th, Oct to 10th, Jan | Collect & preprocess the data (in progress)
- Decide a type of financial product as the predicted object - Collect data from the exchanges or data companies - Clean and label the data |
| 8-12th, Jan | First Presentation (completed) |
| 21th, Jan | Deliverables of Phase 2 (in progress): Elaboration
- Conduct preliminary implementation - Complete detailed interim report |
| 10th, Jan to 25th, Feb | Build the neural network model based on the data
- Fit the model - Tune the corresponding parameters |
| March to April | Finalize & Improve the results:
- Optimize the model - Prepare for final presentation - Start to write final report |
| 15th, Apr | Deliverables of Phase 3: Construction
- Conduct finalized tested implementation - Complete the final report |
| 16-20th, Apr | Final presentation |
| 2nd, May | Project exhibition |
| Kwok-Ping CHAN (supervisor) | Email: kpchan@cs.hku.hk | |
| ZHANG Yuqing (student) | Email: u3518355@hku.hk | Telephone: (+852)52222091 |