Are you interested in increasing your revenue by using modern trading techniques? If yes, then this video tutorial is exactly what you need! This is a perfect tutorial for those who want to start using machine learning techniques for algorithmic trading. By watching 22 video lessons provided in this guide, you will learn how to develop quantitative trading strategies and master investing strategies. The course contains the following modules:

• Introduction
• Introduction to machine learning for investing and algorithmic trading
• Machine learning and Pairs trading
• Backtesting Pairs trading
• Penalized regression for investing
• Kalman filter
• Machine learning and multi-assets trend following strategies

During the training, you will gain all the necessary information about machine learning classification, learn more about linear regression, model selection, and Quant Workflow as well as get acquainted with Python libraries. Also, you will learn how to execute performance analysis and backtesting and know everything about the application of penalized regression to investing.

The course follows a logical structure, gradually revealing the necessary concepts. It starts from an explanation of Linear Regression and then moves to more complex concepts such as model validation, cross-validation, and penalized regression. You will get acquainted with such concepts as Kalman filter, Backtest, ElasticNet, Ridge, Lasso, and finally, Quant Workflow.

The guide also explicitly emphasizes the assumptions of linear regression in order to highlight the risk of using machine learning in investments without properly studying the financial nuances. Join this training now, and you will be fully armed to use machine learning in the field of algorithmic trading!