Forecasting foreign exchange and trading using random forest

• 主要作者: Song, Jiaze
• 其他作者: Wang Lipo
• 格式: Final Year Project
• 語言: English
• 出版: 2019
• 主題: DRNTU::Engineering::Electrical and electronic engineering
• 在線閱讀: http://hdl.handle.net/10356/77583
• 機構: Nanyang Technological University

The main objective of the project is to predict the future foreign exchange rate using a machine learning algorithm called random forests. Nowadays, machine learning algorithms has been widely applied in many fields. In financial industry, forecasting the price of financial products is always a hot...