[Adapt] seminar-Nov.11

[GUO Shijia]

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.


Best,
Shijia
















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郭诗佳（Guo Shijia）

上海交大巴黎高科卓越工程师学院
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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