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In the algorithmic trading course you will learn how to build momentum, mean reversion and factor models. This course is different from other algorithmic trading courses where you only learn to code some basic technical indicators such as MACD or Bollinger Bands. Here you will learn succesful real world trading models. You need to know Python. If you are a trader at an institution or an independent investor and you are quantitative oriented, this course is for you. Click on the enroll button and start learning.
If you want to understand the curriculum, the course is divided in 6 different topics:
1. Introduction: You will understand the concept of market efficiency and also why markets don't always behave that way. One of the main causes is related to behavioral biases. You will learn some of them. You will also learn a simple test to see if a market is efficient or not.
2. First Momentum Model - Alexander's filter: This is a trend following system that was proposed by a professor at MIT and was later refined by professional traders. We will explore different variants of the models. Here you will learn how to run optimizations on python to find the best parameters for the model.
3. Second Momentum Model - Break out model: This is a trend following system inspired in a trading rule that was very profitable in commodities markets. The rule was implemented by a group of traders known as the turtle traders. In this model you will learn how to run a logistic regression to predict the direction of a trend.
4. Mean Reversion Model - Pairs Trading: This is a mean reverting strategy using a pair of assets that are fundamentally related.
5. Factor Model: In this model you will learn how to select explanatory variables that can be used to build a successful trading strategy. This kind of models are used in high frequency trading strategies.
6. Final remarks: We will explain how to select optimal trading size based on the Kelly Criteria. We will also revisit backtesting methods.
Everything You Need to Know About Algorithmic Trading with Python
This course is a comprehensive and well-structured introduction to Algorithmic Trading with Python. The instructor, Quant- Trading, is a leading expert in the field with a wealth of experience in Finance & Accounting to share.
The course is well-structured and easy to follow, and the instructor does a great job of explaining complex concepts in a clear and concise way.
The course is divided into sections, each of which covers a different aspect related to Investing & Trading. Each module contains a series of video lectures, readings, and hands-on exercises.
The instructor does a great job of explaining each topic in a clear and concise way. He/She also provides plenty of examples and exercises to help students learn the material.
One of the things I liked most about this course is that it is very practical. The instructor focuses on teaching students the skills and knowledge they need to succeed in the real world. He/She also provides students with access to a variety of resources, including templates, checklists, and cheat sheets.
Another thing I liked about this course is that it is offered on Udemy. Udemy is a great platform for taking online courses because it offers a lot of flexibility for students. Students can choose to take courses at their own pace, and they can access the course materials from anywhere with an internet connection.
Udemy also offers a variety of payment options, so students can find a plan that works for them. The course also has a very active community forum where students can ask questions and interact with each other. The instructor is also very responsive to student questions and feedback.
Overall, I highly recommend this course to anyone who is interested in learning Algorithmic Trading with Python. It is a well-organized and informative course that will teach you the skills and knowledge you need to succeed.
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