• Demo
• Overview
• Motivation
• Technical Aspects
• Installation
• Execution
• Deployment on Streamlit Cloud
• Technologies Used
• Team
• LICENSE
• DISCLAIMER

News Page

News Feed Example

Asset Analysis Page

Sample Analaysis

Forecasting Page

Forecasts Generating

Forecasts

App link

Whole project is written using only python programming language.

The working of the project have 4 pages which are explained one after other in sequence

• Home Page

  • The home page works using 3 libraries. The streamlit library is for providing user interface of the page. The streamlit_lotte is for the GIF on the page. And requests have been used for the web requests purposes such as getting the yoututube video. Upon signing on user lands on the news feed page.

• News Page
  Here user can get various kinds of news based on the requirements. The news types are divided into 3 types which are explained below

  • International News : In this user gets international news based on the prefernce of the category selected.
  • Local News : In this users gets news related to India based on the selected category.
  • Particular News : This is if a user wants to read particular news then they can search for that using it.

• Analysis Page

  • Here users can get the information and insights about the stocks and crypto currencies.

• Forecasting Page

  • Fetching Data : Program takes the user inputs such as the stock exchange, company name and forecast interval. yFinance library is used to fetch the data of the stock. By default we are taking only 5 years of data of a stock for prediction

  • Preprocessing Data : Upon fetching data we need to preprocess it.We are using LSTM as they are suitable for time-series-analysis. So we need to convert the data into LSTM compatible format.

  • Training Model : After preprocessing the data is sent to the model for training it.

  • Generating forecasts and displaying : After training the past data is used to forecast the future values.

pip install -r requirements.txt

streamlit run appName.py

• Create an account on streamlit
• Connect your github account with the streamlit account.
• Create an app by selecting the respective settings such as repository, path of the code etc.

Note: For guidance check here

• The video in the home page used for telling the importance of Investment is used just for educational purposes. This is not promotion of Edelweiss as it is taken for educational purposes only.
• The predictions being done here are not for financial purposes rather they are just for demonstration purposes.