The day began with creating a new Jupyter notebook.

I had installed Python 2.7 and some version of Jupyter previously so I had to update to Python 3.7. Also had to update Jupyter and Pip

python3 -m pip install --upgrade pip

python3 -m pip install --upgrade jupyter

Then installed necessary python libraries.

pip install pandas

pip install quandl

pip install numpy

Then created the notebook algoTrader by typing jupyter-notebook algoTrader in the terminal.

Further following the tutorial at Free Code Camp I began typing Python code in the new Jupyter notebook.

import pandas as pd

import quandl as q

q.ApiConfig.api_key = "Your_Quandl_API_KEY_HERE"

Begin grabbing data from Microsoft and Apple by their respective ticker symbols MSFT and AAPL.

msft_data = q.get("EOD/MSFT", start_date="2010-01-01", end_date="2021-01-01")

aapl_data = q.get("EOD/AAPL", start_date="2010-01-01", end_date="2021-01-01")

Now, the data is random because we are not paying for Quandl services. There are premium, paid data sets available though.

And finally seeing 5 rows of data

msft_data.head()

aapl_data.head()

And then we get to this output:

To get started writing blog posts like this, I used github pages and Jekyll. This is free! Here are three helpful links as a thank you for reading so far.

Get started with a free blog using Jekyll and Github

Master Markdown for writing posts!

Creating new posts for your Jekyll blog

That’s all folks! Good Evening from the Pacific, Chris