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 git@github.com: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
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data collection: Once server is on, navigate to localhost:8000/stocksadmin download all the required data
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train model from same stocksadmin page
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once model is trained, you can use product from localhost:8000/index paage
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DL model information can be found in FIN_ishers/StockNest/stock_backend
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Django restapis can be found from all apps/apis.py script
- Avinash Kori (avinashgkori@smail.iitm.ac.in)
If any comments or information required, pull requests/issues are Welcomed....
Thankyou