#An Introduction to Stock Market Data Analysis with Python
###Adapted from Curtis Miller from his blog
This is an experiment using Python to get stock market data from Yahoo Finance/Google Finance and project it on a plot graph for data analysis. This is NOT a stock market prediction algorithm, it only tracks the price changes in the stock market.
Requirements:
- Python 3.x and above.
- Depends on pandas, pandas_datareader(NEW), matplotlib and numpy.
- IPython is needed for matplotlib to display the graph.
##Navigation
You can refer to the specific blog posts in the folders [Part 1](/Part 1) and [Part 2](/Part 2). Part 1 focuses on the basic tools for handling and analyzing stock market data. Part 2 covers trading strategies using moving averages over a period of time and formulating exit strategies upon entering a position. The evaluation of a strategy is also elaborated by the use of backtesting.
To see the graphs, uncomment the line "plt.show()".
To install the dependencies:
pip install requirements.txtReferences at: https://github.com/datascience-course/2016-datascience-labs/blob/master/lab6-time-series/lab6-time-series.ipynb