The credit for these codes goes to youtube series Programming for Finance developed by Sentdex
who taught me how to interpretate finance data and how to make use of modules such as pandas, beautifulsoup, pickle
to make your life much easier while writing strategies.
The link to his youtube series is:
https://www.youtube.com/watch?v=2BrpKpWwT2A&list=PLQVvvaa0QuDcOdF96TBtRtuQksErCEBYZ
I will advice you to only download by py files and now the csv files in the folder named stocks_df because those
are the stock data for every S&P500 stock and it has a large memory and when you will run by python files, you will download them
yourself on your computer.
If you do not want to download so many csv files, you can just get them straight from yahoo api
by using web.DataReader(ticker,'yahoo',start_date,end_date) command which is written in one if not all of my files.
Further more, when plotting candlestick_ohlc graphs, he uses module matplotlib.finance which has not depreceated, hence I would
advice you to download (if not already done so) the module mpl_finance by doing the command pip install mpl_finance on the terminal
of a windows computer. And then on py file, write from mpl_finance import candlestick_ohlc
Sentdex moves on to coding in a website called quantopian halfway which allows easier access to pricing data and many more
cool tricks. Once I am finished with the whole series, I will upload the ipython notebooks here; however to run these notebooks,
you will need to create an account at quantopian.com to be able to make use of their in-built functions.
The folder named Practices_few_episodes is me myself trying to understand what is going on in his starting few episodes
I hope his work helps you and motivates you to go into Algorithmic trading as it has to me.