This is for analysing the closing stock values wherein it requires a Qunadle datasets, easily acquired from the quandle website after creating an account.

The package requirements are:

quandl
dash
dash_core_components
dash_html_components
plotly

easily obtained by just typing pip install <package_name> on terminal or command prompt

Make sure of having the API key which is the core component for obtaing the dataset. After installing quandl package, by typing

df = quandl.get(dataset_to_be_analyzed, authtoken=your_api_key) # easily dataset can be obtained.

The data will be on yearly basis that requires better organising of it (according to years and months updating it into a dictionary). Better Organisation of the data, the beautiful plot.

from test_plot import analyze_close_stock

analyze_close_stock('provide_the_dataset(mostly_quandle_API_call)')

and on terminal

python file_name.py

The graphs will be opened on the browser and by specifing the year and the month, the granted graph of that particular year and month will be plotted.

The updation of the data automatically happens when it gets updated on the website (Qundle) and since the API call is being called, the graphs will be updated easily. No worries.

End Users

As of now, this model is only used by the company stakeholders, investors and other parties involved in the Stock Trading Activities. But this can be automated and developed in such a way that other interested Share Holders can use to take their granted decision of buying and selling the share and achieve gain.