Stock Analysis Web Application (Basic)

A web-application to obtain basic information about any S&P500 company and analyze it's stock using historical prices.

Click here to check the demo Website

Linked File(s):

1. ticker-data.csv (csv file containing list of stock tickers of companies in the S&P500 index)

Modules used:

1. Streamlit (for creating simple web app)
2. YFinance (for obtaining stock data)
3. Pandas (for management of data)
4. Datetime
5. Cufflinks (for data visualisation/ plotting graphs)

Stock Information Obtained (using it's Ticker):

1. Company name
2. Company Logo
3. Company Description
4. Historical Stock Prices (High,Low,Open,Close,20-Day moving avg)
5. Stock Trading volume
6. Dividend history + Stock-split history
7. Bollinger Bands

Run the following code after downloading the 'requirements.txt' to download the pre-requisites:

$ pip install -r requirements.txt

Ensure pip is added to the PATH Ensure requirements.txt is downloaded in the right directory

Launch a Streamlit app (app.py) by running the following query in the command prompt:

$ streamlit run app.py

Created By: Anirudh Jain