Application of Convolutional Neural Network and Long Short-Term Memory to Forex Analysis

碩士 === 國立東華大學 === 資訊工程學系 === 106 === FX market has tens of thousands of transactions every day. This paper hopes to find regularities in the FX market via machine learning. This paper uses deep learning Convolutional Neural Network ( CNN ) and Long Short-Term Memory ( LSTM ) models for FX analysis....

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Bibliographic Details
Main Authors: Kuo-Chan Huang, 黃國展
Other Authors: Shi-Jim Yen
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/wx566h