Python can be used to analyze data and trade in stock markets.

People in the market have many different trading and investing approaches.

If you really want to succeed with an innovative practice, you have to build it on your own.

Python is being used as a reference programming language in the financial industry.

Python is completely free as other financials tools are. It is easy to learn. Why don’t you try it?

This course will teach you how to use Python in trading and investing.

Ipython is a working environment.

The main data analysis is python libraries.

Financial data can be imported/exported.

There is data Munging.

There are custom Charts.

Different projects are applying this knowledge.

At a time, improve your programming and investing skills.

You should be interested in Finance if you already program. If you are interested in applying programming to your career, then you are already a Finance practitioner. This course is for you.

New opportunities will open up for you if you combine these two disciplines and use this new knowledge for your own investments.

The volume of data is increasing. New tools are needed to get the most of it. Learning to manage and analyze data through programming is one of the most promising skills in your career path.

The analysis of financial data and the implementation of trading strategies will be aided by the power of Python programming in this course.

After a brief introduction of the different useful Python libraries and functionalities for Finance, some projects will be shown in which we will analyze and test various popular strategies.

The best way to learn is to do, so the student will be able to test on his own different strategies and even benefit from them, instead of spending hours seeing each of the different funcionalities.

The main Python libraries will be reviewed in this course.

It’s not necessary to have previous knowledge of Python because it’s easy to understand. It’s a good idea to have a previous contact with it.

The main goal is to apply it to finance concepts. Not much time will be spent on common functions or data structures. You will be able to send any doubts to the instructor and new lectures will be uploaded if necessary.

Doing is the best way to learn. The complete code will be developed in the second part of the course. You will be able to modify them with your desired parameters and even propose new ones. A community around the course will help us grow up individually.

The course price will go up when new projects are added. It will be your best investment if you enroll now.