Stock price prediction using Bidirectional LSTM and sentiment analysis
MIT License
New approach for stock market prediction using Artificial Intelligence
Bidirectional LSTM on historical data
Sentiment analysis with news and twitter feeds
Django + Angular JS combination for web app
LAMP installed
Django
celery
keras
tensorflow
pandas
numpy
Jquery
Angular JS
Chart JS
first terminal
git clone [email protected]:koriavinash1/FIN_ishers.git
cd Stock-Price-Forecasting-Using-Artificial-Intelligence/StockNest
python manage.py makemigrations
python manage.py migrate
python manage.py runserver
second ternimal
cd Stock-Price-Forecasting-Using-Artificial-Intelligence/StockNest
celery -A StockNest worker -l info
data collection: Once server is on, navigate to localhost:8000/stocksadmin download all the required data
train model from same stocksadmin page
once model is trained, you can use product from localhost:8000/index paage
DL model information can be found in FIN_ishers/StockNest/stock_backend
Django restapis can be found from all apps/apis.py script
If any comments or information required, pull requests/issues are Welcomed....
Thankyou