Stock-Market-Analysis

This is a simple data analysis on the Stock Market data of Amazon, Google, Microsoft and Apple.

This is a part of my practice in the Udemy Course : Python for Data Analysis and Visualization.

This is done in Jupyter (IPython Notebook).

It uses Seaborn (v.0.8.0) for data visualisation.

Consists of Five Parts :

1. Reading Stock Data of Apple, Google, Microsoft and Amazon from Yahoo Finances (can be done from Google Finances as well).
2. Simple Moving Average method for Closing Price prediction.
3. Daily Return Analysis of stock price , computing Pearson r value (Correlation Coefficient) between daily returns of different companies.
4. Risk Analysis
5. Value at Risk using two methods : i. BOOTSTRAP method ii. MONTE CARLO method using GEOMETRIC BROWNIAN MOTION.

Go through it and analyze my analysis!

Note - Comments are the most important part of the code as they contain the links of the websites i used for reference plus the thorough explanation of code. Do read them carefully!