What is a Packt Machine Learning for Algorithmic Trading Bots with Python by Mustafa Qamar-ud-Din for Cheap?
Key benefits
- 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
Description
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
Packt Machine Learning for Algorithmic Trading Bots with Python by Mustafa Qamar-ud-Din Index:
📁 01.Building Your First Trading Bot
📄 0101.The Course Overview.mp4 (13.80 MB)
📄 0102.Introduction to Financial Machine Learning and Algorithmic Trading.mp4 (31.32 MB)
📄 0103.Setting up the Environment.mp4 (28.82 MB)
📄 0104.Project Skeleton Overview.mp4 (20.97 MB)
📄 0105.Fetching and Understanding the Dataset.mp4 (68.30 MB)
📄 0106.Build the Conventional Buy and Hold Strategy.mp4 (24.84 MB)
📄 0107.Evaluate the Strategy’s Performance.mp4 (35.16 MB)
📁 02.Design a Machine Learning Model
📄 0201.Intuition behind Random Forests Algorithm.mp4 (33.10 MB)
📄 0202.Build and Implement Random Forests Algorithm.mp4 (51.78 MB)
📄 0203.Plug-in Random Forests Implementation into Your Bot.mp4 (21.52 MB)
📄 0204.Evaluate Random Forest’s Performance.mp4 (11.64 MB)
📁 03.Build a Trading Algorithm
📄 0301.Introducing Online Algorithms.mp4 (14.84 MB)
📄 0302.Getting Statistical Correlation.mp4 (12.28 MB)
📄 0303.Implement Exploit Correlation Strategy.mp4 (57.85 MB)
📄 0304.Evaluate the Strategy.mp4 (17.54 MB)
📁 04.Design Advanced Machine Learning Model
📄 0401.Ensemble Learning Theory.mp4 (12.55 MB)
📄 0402.Implementing GBoosting Using Python.mp4 (36.93 MB)
📄 0403.Evaluating the Model Performance.mp4 (34.35 MB)
📁 05.Build Advanced Trading Algorithm
📄 0501.Introduction to Scalpers Trading Strategy.mp4 (18.55 MB)
📄 0502.Implement Scalpers Trading Strategy.mp4 (121.94 MB)
📄 0503.Evaluate Scalpers Trading Strategy.mp4 (24.62 MB)
📁 06.Model and Strategy Evaluation
📄 0601.Introducing Value at Risk Backtest.mp4 (9.74 MB)
📄 0602.Implement Value at Risk Backtest.mp4 (35.37 MB)
📄 0603.Value at Risk with Machine Learning.mp4 (7.99 MB)
📄 0604.Implement VaR Using SVR.mp4 (36.87 MB)
📄 0605.Conclusion and Next steps..mp4 (8.75 MB)
📁 Exercise Files
📄 exercise_files.zip (90.05 MB)
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