Foreign exchange prediction and trading using random forests

• Main Author: Tong, Xiaoshan
• Other Authors: Wang Lipo
• Format: Final Year Project
• Language: English
• Published: 2019
• Subjects: DRNTU::Engineering::Electrical and electronic engineering
• Online Access: http://hdl.handle.net/10356/77600
• Institution: Nanyang Technological University

The aim of the study is to predict foreign exchange prediction and trading strategies using Random Forests. The application of machine learning technology in market forecasting has been widely established in the scientific community. Developing high-precision techniques for predicting financial time...