Details

Autor(en) / Beteiligte

• Lin, Bo-Sheng
• Chu, Wei-Tao
• Wang, Chuin-Mu

Titel

Application of Stock Analysis Using Deep Learning

Ist Teil von

• 2018 7th International Congress on Advanced Applied Informatics (IIAI-AAI), 2018, p.612-617

Ort / Verlag

IEEE

Erscheinungsjahr

2018

Quelle

IEEE Electronic Library Online

Beschreibungen/Notizen

• The stock market plays a very important role in the entire financial market, and one of the most attractive research issues in predicting stock price fluctuations. Since the trend of stocks is usually related to the previous stock price, this paper uses a neural network with memory capability: Recurrent neural network (RNN). In order to improve its performance, Long Short Term Memory (LSTM) architecture was used. LSTM improves the long-term dependence of traditional RNNs and effectively improves the accuracy and stability of stability.