Machine Learning for Algorithmic Trading Bots with Python

Machine Learning for Algorithmic Trading Bots with Python, available at $34.99, has an average rating of 3.15, with 26 lectures, based on 56 reviews, and has 636 subscribers.

You will learn about You will learn about financial terminology and methodology and how to apply them Get hands-on financial data structures and financial machine learning Understand complex financial terminology and methodology in simple ways Ensemble models and cross-validation for financial applications Backtesting for models and strategies evaluation and validation Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum Putting machine learning into real world problems and derive solutions This course is ideal for individuals who are This course is compiled for data science beginners and professionals who want to shift their career to financial sector. It is particularly useful for This course is compiled for data science beginners and professionals who want to shift their career to financial sector.

Enroll now: Machine Learning for Algorithmic Trading Bots with Python

Summary

Title: Machine Learning for Algorithmic Trading Bots with Python

Price: $34.99

Average Rating: 3.15

Number of Lectures: 26

Number of Published Lectures: 26

Number of Curriculum Items: 26

Number of Published Curriculum Objects: 26

Original Price: $109.99

Quality Status: approved

Status: Live

What You Will Learn

You will learn about financial terminology and methodology and how to apply them
Get hands-on financial data structures and financial machine learning
Understand complex financial terminology and methodology in simple ways
Ensemble models and cross-validation for financial applications
Backtesting for models and strategies evaluation and validation
Apply your skills to real world cryptocurrency trading such as BitCoin and Ethereum
Putting machine learning into real world problems and derive solutions

Who Should Attend

This course is compiled for data science beginners and professionals who want to shift their career to financial sector.

Target Audiences

This course is compiled for data science beginners and professionals who want to shift their career to financial sector.

Have you ever wondered how the Stock Market, Forex, Cryptocurrency and Online Trading works? Have you ever wanted to become a rich trader having your computers work and make money for you while you’re away for a trip in the Maldives? Ever wanted to land a decent job in a brokerage, bank, or any other prestigious financial institution?We have compiled this course for you in order to seize your moment and land your dream job in financial sector. This course covers the advances in the techniques developed for algorithmic trading and financial analysis based on the recent breakthroughs in machine learning. We leverage the classic techniques widely used and applied by financial data scientists to equip you with the necessary concepts and modern tools to reach a common ground with financial professionals and conquer your next interview.By the end of the course, you will gain a solid understanding of financial terminology and methodology and a hands-on experience in designing and building financial machine learning models. You will be able to evaluate and validate different algorithmic trading strategies. We have a dedicated section to backtesting which is the holy grail of algorithmic trading and is an essential key to successful deployment of reliable algorithms.

About the Author

Mustafa Qamar-ud-Din is a machine learning engineer with over 10 years of experience in the software development industry. He is a specialist in image processing, machine learning and deep learning. He worked with many startups and understands the dynamics of agile methodologies and the challenges they face on a day to day basis. He is also quite aware of the professional skills which the recruiters are looking for when making hiring decisions.

Course Curriculum

Chapter 1: Building Your First Trading Bot

Lecture 1: The Course Overview

Lecture 2: Introduction to Financial Machine Learning and Algorithmic Trading

Lecture 3: Setting up the Environment

Lecture 4: Project Skeleton Overview

Lecture 5: Fetching and Understanding the Dataset

Lecture 6: Build the Conventional Buy and Hold Strategy

Lecture 7: Evaluate the Strategy’s Performance

Chapter 2: Design a Machine Learning Model

Lecture 1: Intuition behind Random Forests Algorithm

Lecture 2: Build and Implement Random Forests Algorithm

Lecture 3: Plug-in Random Forests Implementation into Your Bot

Lecture 4: Evaluate Random Forest’s Performance

Chapter 3: Build a Trading Algorithm

Lecture 1: Introducing Online Algorithms

Lecture 2: Getting Statistical Correlation

Lecture 3: Implement Exploit Correlation Strategy

Lecture 4: Evaluate the Strategy

Chapter 4: Design Advanced Machine Learning Model

Lecture 1: Ensemble Learning Theory

Lecture 2: Implementing GBoosting Using Python

Lecture 3: Evaluating the Model Performance

Chapter 5: Build Advanced Trading Algorithm

Lecture 1: Introduction to Scalpers Trading Strategy

Lecture 2: Implement Scalpers Trading Strategy

Lecture 3: Evaluate Scalpers Trading Strategy

Chapter 6: Model and Strategy Evaluation

Lecture 1: Introducing Value at Risk Backtest

Lecture 2: Implement Value at Risk Backtest

Lecture 3: Value at Risk with Machine Learning

Lecture 4: Implement VaR Using SVR

Lecture 5: Conclusion and Next steps

Instructors

Packt Publishing
Tech Knowledge in Motion

Rating Distribution

1 stars: 5 votes
2 stars: 5 votes
3 stars: 12 votes
4 stars: 19 votes
5 stars: 15 votes

Frequently Asked Questions

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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