@inproceedings{8764152ccf234bfeb6d85033f757a58d,
title = "A LSTM-based method for stock returns prediction: A case study of China stock market",
abstract = "Prediction of stock market has attracted attention from industry to academia [1, 2]. Various machine learning algorithms such as neural networks, genetic algorithms, support vector machine, and others are used to predict stock prices.",
author = "Kai Chen and Yi Zhou and Fangyan Dai",
note = "Funding Information: The work is partially supported by the National Natural Science Foundation of China (Grant No. 61221001), and Shanghai Science and Technology Committees of Scientic Research Project (Grant No. 14DZ1101200). Publisher Copyright: {\textcopyright} 2015 IEEE.; 3rd IEEE International Conference on Big Data, IEEE Big Data 2015 ; Conference date: 29-10-2015 Through 01-11-2015",
year = "2015",
month = dec,
day = "22",
doi = "10.1109/BigData.2015.7364089",
language = "English (US)",
series = "Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2823--2824",
editor = "Feng Luo and Kemafor Ogan and Zaki, {Mohammed J.} and Laura Haas and Ooi, {Beng Chin} and Vipin Kumar and Sudarsan Rachuri and Saumyadipta Pyne and Howard Ho and Xiaohua Hu and Shipeng Yu and Hsiao, {Morris Hui-I} and Jian Li",
booktitle = "Proceedings - 2015 IEEE International Conference on Big Data, IEEE Big Data 2015",
}