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What you'll get

  • Job Credibility
  • Certification Valid for Life
  • On-demand video*
  • E-Book
  • Self-Paced Learning
  • Certificate of Completion

Exam details

  • Mode of Exam : Online
  • Duration : 1 Hour
  • Multiple Choice Questions are asked
  • No. of Questions are asked : 50
  • Passing Marks : 25 (50%)
  • There is no negative marking


Have you ever think how the cryptocurrency and stock trading market works? have you ever planned to be rich by adopting one of these methods? If you feel and think the same, then in our Machine Learning for Algorithmic Trading Bots with Python course, we will answer you are all the questions and allow you o understand these markets from the inside to get a higher return on your investment. These course covers give the understanding of building your first trading bot. It also gives you opportunities to explore the concepts of designing a machine learning model and building a trading algorithm.

You also leverage the classic techniques that id widely applied by financial scientists and professionals to understand these data. By the end of this algorithmic trading course, you will have profound information about financial terminology and methodology with the knowledge of financial machine learning models. Besides this, after completing the course, you will evaluate and validate the trading algorithms with proper strategies. 

So, if you want to have a hands-on financial data structure and FML, then take this online Machine Learning for Algorithmic Trading Bots with Python course. And when you get enrolled in the program, then learn to backtest for the models and financial strategies to evaluate and validate. With the help of this online course, you will be able to deal with cryptocurrencies and online stock trading and will also able to ensure maximum profit from that algorithmic model.

It is the best course for the  ML learners to under trading bots with python because this course includes many real-life based examples to make you understand effectively. So, to learn about algorithmic trading, take this online course and get certified after its successful completion. 

Course Content

Total: 24 lectures
  • Introduction to Financial Machine Learning and Algorithmic Trading
  • Setting up the Environment
  • Project Skeleton Overview
  • Fetching and Understanding the Dataset
  • Build the Conventional Buy and Hold Strategy
  • Evaluate the Strategy’s Performance
  • Intuition behind Random Forests Algorithm
  • Build and Implement Random Forests Algorithm
  • Plug-in Random Forests Implementation into Your Bot
  • Evaluate Random Forest’s Performance
  • Introducing Online Algorithms
  • Getting Statistical Correlation
  • Implement Exploit Correlation Strategy
  • Evaluate the Strategy
  • Ensemble Learning Theory
  • Implementing GBoosting Using Python
  • Evaluating the Model Performance
  • Introduction to Scalpers Trading Strategy
  • Implement Scalpers Trading Strategy
  • Evaluate Scalpers Trading Strategy
  • Introducing Value at Risk Backtest
  • Implement Value at Risk Backtest
  • Value at Risk with Machine Learning
  • Implement VaR Using SVR


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