Predicting the Movement Direction of OMXS30 Stock Index Using XGBoost and Sentiment Analysis
Background. Stock market prediction is an active yet challenging research area. A lot of effort has been put in by both academia and practitioners to produce accurate stock market predictions models, in the attempt to maximize investment objectives. Tree-based ensemble machine learning methods such...
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| Format: | Others |
| Language: | English |
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Blekinge Tekniska Högskola, Institutionen för datavetenskap
2021
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| Online Access: | http://urn.kb.se/resolve?urn=urn:nbn:se:bth-21119 |