[Adapt] seminar-Nov.11

GUO Shijia 47844555 at 163.com
Wed Nov 11 00:51:51 CST 2020

Hi Adapters,

Stock movement prediction is a challenging problem: the market is highly stochastic, and we make temporally-dependent predictions from chaotic data. In the paper I will present tomorrow, the authors treat these three complexities and present a novel deep generative model jointly exploiting text and price signals for this task. 

related paper: Stock Movement Prediction from Tweets and Historical Prices , ACL 2018

Hope you enjoy this talk.



郭诗佳(Guo Shijia)

Shanghai Jiao Tong University
SJTU - ParisTech Elite Institute of Technology
Ecole d'Ingénieur SJTU-ParisTech
上海市闵行区东川路800号, 200240
800 Dongchuan Rd., Shanghai,200240  ,  P.R.China
Mobile:+86 13122211736
Email:47844555 at 163.com
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