Predicting stock market index with gradient boosting machine ensemble, bayesian optimization, temporal consistency analysis, market sentiment analysis, game theory and novel holdout method
The potential of machine learning has sustained the interest of both academia and industry in stock market prediction for over the past decade. This project aims to integrate modern techniques used in the field into a resource-efficient and accurate stock index predictor. While Gradient Boosting Ma...
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| 格式: | Final Year Project (FYP) |
| 语言: | English |
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Nanyang Technological University
2021
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| 在线阅读: | https://hdl.handle.net/10356/148294 |