Stock price analysis

Personal project in which I analyse the evolution and correlation of the stock prices of Amazon, Google, Microsoft and Apple. The project's Jupyter Notebook is uploaded above.

Language: Python

Packages/modules used:

• sys
• pandas
• numpy
• seaborn
• matplotlib.pyplot
• glob
• warnings
• plotly.express

Techniques/Concepts covered:

• Importing data (glob, pd.read_csv, pd.read_json, list comprehension)
• For loops
• NULL handling
• List comprehension
• Dataframe filtering
• Data manipulation functions: unique(), shape, DataFrame(), copy(), set_index(), to_datetime(), dtypes, shift()
• Data visualization: grid plots, line graphs, pair plots, heatmaps, pair grid graphs
• Moving averages
• % changes
• Time series analysis
• Resampling analysis
• Correlation analysis