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Introduction to Algorithmic Trading

Learn algorithmic trading in one day - Version 1 (please use the second version)
Instructor
Trading 707
2,193 Students enrolled
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  • Curriculum
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Please refer to the latest version of the course. This version has been updated under the name: “2021:learn algorithmic trading in one day“.

The second part of this course can be found within our profile. This version as some packages needed updates will be removed from the marketplace in the next 6 months.

The second version of this course covers the latest machine learning algorithm, plus two extra algorithm implementation.

This course will allow you to develop your Python skills tutored by professionals. You will be able to add Trading Technical Analysis and Algorithmic Trading to your CV and start getting paid for your skills.

What you will learn from this course:

– Develop your first PROFITABLE algorithms to predict the market. (Stock exchange (US, Indian, Dax, CAC40) + Crypto)

– Step up in data visualisation to create a portfolio for a career switch

– Learn how to import market data.

– Getting connected to the US stock exchange live and get market data with less than one-second lag. (The only course of proposing this option).

– Develop your first trading strategies on Python such as Ichimoku Kinko Hyo or Bollinger Bands with Live Trading Examples. (The only course of proposing this option).

Thank you for understanding.

Sajid Lhessani (Algo Trading instructor).

How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don't have an internet connection, some instructors also let their students download course lectures. That's up to the instructor though, so make sure you get on their good side!
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Course details
Video 10 hours
Lectures 1
Certificate of Completion
Full lifetime access
Access on mobile and TV

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