Foreign exchange prediction and trading using feedforward neural networks

• Main Author: Han, Hongyi
• 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/10356/78029
• Institution: Nanyang Technological University

The foreign exchange (forex) market is one of the most widely traded markets in the world, with an average daily transaction volume exceeding US$5 trillion. It is one of the world's largest and most liquid financial markets, with different currencies being exchanged continuously where individua...