Team 3 project repo for CS 492 - Introduction to Deep Learning course
We implemented two-fold predictor for coming trading day's stock price fluctuation
Look at below diagram
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Download two pretrained BERT models from my google drive and place them on pretrained_models directory
Link here, those two would take 1.3GB disk in total -
Install required python modules using below command
Please set up your own venv before downloading these modules if you have your own setups!
$ pip install -r requirements.txt
- Run below command on main directory of this project
Downloading pretrained multilingual BERT may take 7GB in disk, thus, make enough space before running this command
$ streamlit run simple_web.py
You can see the above screen on top, when you run our application.
Our default setting is '삼성전자' on 2021-12-17.
You may type in other companies or date to get a prediction.
| Samsung Electronics | KAKAO |
|---|---|
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Caution If the date to predict is too far, you may fail to get related articles!