Deep Learning Techniques for Stock Price Prediction

Deep Learning Techniques for Stock Price Prediction

We propose a deep model comprising LSTM and CNN architectures for Stock Price Prediction. We incorporate financial news data in time series forecasting which is observed to improve the performance.

Poster: https://drive.google.com/file/d/1632hgVtpKGexqSGIegUJI8U4u38SNmMI/view?usp=sharing

Video: https://drive.google.com/file/d/196Ga0y4yzBgUKqLxIgUR-QX4TOdh-lTt/view?usp=sharing

Project Poster: 

Project Members: 

Efe Önal
Barış Zöngür

Project Advisor: 

İnci Meliha Baytaş

Project Status: 

Project Year: 

2020
  • Spring

Bize Ulaşın

Bilgisayar Mühendisliği Bölümü, Boğaziçi Üniversitesi,
34342 Bebek, İstanbul, Türkiye

  • Telefon: +90 212 359 45 23/24
  • Faks: +90 212 2872461
 

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