Fundamental Market Analysis with Python

What you'll learn

Learn how to analyze the stock market and answer your own questions
Find the right data sources to help you answer fundamental market questions
Know where to find reliable and free data sets to answer your market questions
Use Python and Jupyter notebooks to prepare, explore, and chart data

Requirements

You will need basic knowledge of Python, Jupyter notebooks, a bit of Pandas and Numpys.
An interest in answering your own fundamental market analysis questions

Description

This course covers the critical fundamental indicators to help navigate the financial markets and answer your own questions without relying on the opinion of others. Learn to find your way around the chaotic world of the financial markets.


Whether you are a trader, a financial analyst, a data scientist, or just a curious person that wants to be informed, this class is for you. I will show you where to get free and reliable data, how to analyze and plot that data using Python and Jupyter notebooks (I do expect you to know a little python).


We’ll start with the S&P 500, my favorite index and the world’s economic barometer. This powerful and telling index comprise some 80% of all equity market value in the United States and 30% of its revenue comes from outside the US. If you only have time for one fundamental indicator - this is the one! We’ll continue by exploring the VIX, the Yield Curve, The Case-Shiller Home Price Index, the CPI, PMI, BCI and much more.


Here is a sample of the lectures (all lectures with code come with a link to download the Jupyter notebook).


S&P 500 - Economic Barometer of the World

VIX - The Fear Index

Market Movements

Consumer Price Index (CPI) and Inflation

Real Estate - Case-Shiller Index, CPPI, VNQ

Unemployment and the Labor Pool

Bankruptcies

Oil & Gold Decoupling

Bitcoin

Yield/Inverted Yield Curve

Dividends, Dividend Yield

Business Confidence Index (BCI)

Purchasing Managers' Index (PMI)

Retail Numbers

Custom Indexes

Bogleheads Investments

COT - Commitment of Traders

Candlestick Charting

Background Coloring

RSI - Relative Strength Index

MACD - Moving Average Convergence/Divergence

OBV - On-Balance Volume Technical Indicator

ROC - Rate of Change

…

Who this course is for:

This is for people looking to answer their own questions about the stock market, the economy, real estate, etc.
Those who like the flexibility and power of Python to explore and answer questions wherever imagination takes us