[Packt] Machine Learning for Algorithmic Trading Bots with Python [FCO]

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[Packt] Machine Learning for Algorithmic Trading Bots with Python [FCO] (Size: 969.2 MB)
  0101.The Course Overview.mp4 40.1 MB
  0102.Introduction to Financial Machine Learning and Algorithmic Trading.mp4 31.3 MB
  0103.Setting up the Environment.mp4 28.8 MB
  0104.Project Skeleton Overview.mp4 21 MB
  0105.Fetching and Understanding the Dataset.mp4 68.3 MB
  0106.Build the Conventional Buy and Hold Strategy.mp4 24.8 MB
  0107.Evaluate the Strategy’s Performance.mp4 35.2 MB
  0201.Intuition behind Random Forests Algorithm.mp4 33.1 MB
  0202.Build and Implement Random Forests Algorithm.mp4 51.8 MB
  0203.Plug-in Random Forests Implementation into Your Bot.mp4 21.5 MB
  0204.Evaluate Random Forest’s Performance.mp4 11.6 MB
  0301.Introducing Online Algorithms.mp4 14.8 MB
  0302.Getting Statistical Correlation.mp4 12.3 MB
  0303.Implement Exploit Correlation Strategy.mp4 57.8 MB
  0304.Evaluate the Strategy.mp4 17.5 MB
  0401.Ensemble Learning Theory.mp4 12.5 MB
  0402.Implementing GBoosting Using Python.mp4 36.9 MB
  0403.Evaluating the Model Performance.mp4 34.4 MB
  0501.Introduction to Scalpers Trading Strategy.mp4 18.5 MB
  0502.Implement Scalpers Trading Strategy.mp4 121.9 MB
  0503.Evaluate Scalpers Trading Strategy.mp4 24.6 MB
  0601.Introducing Value at Risk Backtest.mp4 40.4 MB
  0602.Implement Value at Risk Backtest.mp4 35.4 MB
  0603.Value at Risk with Machine Learning.mp4 8 MB
  0604.Implement VaR Using SVR.mp4 36.9 MB
  0605.Conclusion and Next steps..mp4 39.3 MB
  Discuss.FreeTutorials.Eu.html 31.3 KB
  FreeCoursesOnline.Me.html 108.3 KB
  FreeTutorials.Eu.html 102.2 KB
  How you can help Team-FTU.txt 307.2 B
  Torrent Downloaded From GloDls.to.txt 102.4 B
  [TGx]Downloaded from torrentgalaxy.org.txt 512 B
  exercise_files.zip 90 MB
  ▲ 33 total files

Description


By : Mustafa Qamar-ud-Din
Released : Thursday, February 28, 2019 [NEW RELEASE]
Torrent Contains : 33 Files, 7 Folders
Course Source : https://www.packtpub.com/application-development/machine-learning-algorithmic-trading-bots-python-video

Introducing the study of machine learning and algorithmic trading for financial practitioners

Video Details

ISBN 9781789951165
Course Length 4 hours 50 minutes

Table of Contents

• BUILDING YOUR FIRST TRADING BOT
• DESIGN A MACHINE LEARNING MODEL
• BUILD A TRADING ALGORITHM
• DESIGN ADVANCED MACHINE LEARNING MODEL
• BUILD ADVANCED TRADING ALGORITHM
• MODEL AND STRATEGY EVALUATION

Video Description

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.

The code bundle for this video course is available at - https://github.com/PacktPublishing/Machine-Learning-for-Algorithmic-Trading-Bots-with-Python

Style and Approach

Algorithmic trading in practise is a very complex process and it requires data engineering, strategies design, and models evaluation. This course covers every single step in the process from a practical point of view with vivid explanation of the theory behind. The concepts and theories are explained with the aid of illustrations, diagrams and charts whenever possible to make it easier to grasp. The coding parts are explained line by line with clear reasoning why everything is done the way it is.

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

Authors

Mustafa Qamar-ud-Din

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.

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