A repository that includes the details and submission of HKU QIDS Competition (Quantitative Investment) for Team 040 Cosmos.
(Update) This notebook ranked top 25 out of 200+ teams, and the team is advanced to the second round.
The HKU QIDS 2023 Quantitative Investment Competition is a data science competition hosted on Kaggle. The competition aims to encourage participants to use quantitative methods and machine learning techniques to predict future stock prices based on past data. The competition provides a large dataset consisting of historical stock prices, financial ratios, and news sentiment scores, which participants can use to develop their models. Participants will be ranked based on the accuracy of their predictions on a hidden test set.
This repository is intended for view purpose only. In this repository, the datasets for training and testing are not uploaded. However, you are encouraged to visit Kaggle for reference.