Packt – Machine Learning for Algorithmic Trading Bots with Python brings the supplied course files into one clearly indexed package. Review the full curriculum below, confirm that it matches your goals, and get digital access through Courses On Budget.
What Is Packt – Machine Learning for Algorithmic Trading Bots with Python?
This course is structured around Building Your First Trading Bot, Introduction to Financial Machine Learning and Algorithmic Trading, Setting up the Environment. It is best suited to Python and systematic-trading learners who want the complete supplied material arranged in a single, easy-to-review curriculum.
Before ordering, compare the topics, file formats and course scope below. You can also browse more trading courses, see the full trading courses cheap list, or check the latest course updates.
What You Will Study
- Building Your First Trading Bot
- Introduction to Financial Machine Learning and Algorithmic Trading
- Setting up the Environment
- Project Skeleton Overview
| What you need | This package | Scattered free material |
|---|---|---|
| Curriculum visibility | Full index shown below | Varies by source |
| Organization | One structured course package | Often fragmented |
| Access model | Digital download | Platform-dependent |
| ▶ |
See a real lesson from this course
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Packt – Machine Learning for Algorithmic Trading Bots with Python Course Index
Open each section to inspect the supplied files. The names and sizes below are retained from the available course index.
01.Building Your First Trading Bot (7 items)
- 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 (4 items)
- 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 (4 items)
- 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 (3 items)
- 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 (3 items)
- 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 (5 items)
- 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 (1 items)
- exercise_files.zip (90.05 MB)
- Complete index available before purchase
- Structured digital package
- Topics include Building Your First Trading Bot, Introduction to Financial Machine Learning and Algorithmic Trading, Setting up the Environment
- Educational material does not guarantee trading results
- Check the curriculum against your experience level
- Confirm software and file compatibility
Packt – Machine Learning for Algorithmic Trading Bots with Python is a practical choice for Python and systematic-trading learners when the curriculum above matches the skills they want to study. The strongest buying signal is transparency: the complete available index is visible before checkout.
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Independent learning resource: Python’s official tutorial
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