Data of four U. S. stocks namely Apple, Google, Amazon and Microsoft is used in this project. Different aspects of the trends of stocks like daily returns, close value, correlation between stocks etc are derived from the dataset. Data cleaning, wrangling and visualization is done using Python Libraries- Pandas, Numpy, Matplolib, Seaborn.
Python | Jupiter Notebook | Git
https://www.kaggle.com/datasets/ritikmaheshwari/stock-price-edatime-series-analysis