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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