Work

High-Frequency Stock Trend Forecast Using LSTM Model

Year: 2018

Type: conference-paper

Source: International Conference on Computer Science & Education (ICCSE)

DOI: 10.1109/iccse.2018.8468703

Authors: Siyu Yao, Linkai Luo, Hong Peng

Institution: Xiamen University

Language: English

Topic: Stock Market Forecasting Methods

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Nanjing University of Science and Technology

OpenAlex ID: W2891833129

FWCI: 3.322

Cites: 9

Cited by: 47

Related to: 10