In this repository, we implement a stock prediction app to suggest users buying or (selling/holding) their properties. The app is currently up at https://mlsd-indicatorss.darkube.app/.
You can deploy our model in your application. In order to do so, you will need to pass modelV1.pth
and stock_load_model.py
. You can also install requirements from requierments.txt
file.
Using test_csv(path)
from stock_load_mode.py
you can read csv file from path
and get model output. For more information on usage, see app.py
.