Machine Learning for Algorithmic Trading Bots with Python
Video description
Introducing the study of machine learning and algorithmic trading for financial practitioner
About This Video
Building high-frequency trading robots
Applying feature engineering on stock market data
Diving deeper into the pros and cons of various financial data structures
Building & evaluating many machine learning models
Implementing backtesting econometrics for trading strategies evaluation
Hacking Ensemble Learning …
Machine Learning for Algorithmic Trading Bots with Python
Video description
Introducing the study of machine learning and algorithmic trading for financial practitioner
About This Video
Building high-frequency trading robots
Applying feature engineering on stock market data
Diving deeper into the pros and cons of various financial data structures
Building & evaluating many machine learning models
Implementing backtesting econometrics for trading strategies evaluation
Hacking Ensemble Learning Algorithms in Machine Learning
Featuring a premiere on Ensemble Learning with Bagging & Boosting
Experience-based tutorials and hands-on financial challenges
In Detail
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.
Audience
This course is compiled for data science beginners and professionals who want to shift their career to financial sector. This course assumes a basic knowledge of Python programming such as conditional and looping statements. The course is self contained in terms of the concepts, theories, and technologies it requires to build trading bots.
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
Chapter 2 : Design a Machine Learning Model
Intuition behind Random Forests Algorithm
Build and Implement Random Forests Algorithm
Plug-in Random Forests Implementation into Your Bot
Evaluate Random Forest’s Performance
Chapter 3 : Build a Trading Algorithm
Introducing Online Algorithms
Getting Statistical Correlation
Implement Exploit Correlation Strategy
Evaluate the Strategy
Chapter 4 : Design Advanced Machine Learning Model
Ensemble Learning Theory
Implementing GBoosting Using Python
Evaluating the Model Performance
Chapter 5 : Build Advanced Trading Algorithm
Introduction to Scalpers Trading Strategy
Implement Scalpers Trading Strategy
Evaluate Scalpers Trading Strategy
Chapter 6 : Model and Strategy Evaluation
Introducing Value at Risk Backtest
Implement Value at Risk Backtest
Value at Risk with Machine Learning
Implement VaR Using SVR
Conclusion and Next steps.
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