Oreilly – Hands-On Algorithmic Trading with Python is organized here around the exact supplied curriculum: 35 files, 8 folders and 1.70 GB of course material. Browse the verified outline below, compare related trading courses for less, and purchase through Courses On Budget for instant access.
What Makes This Course Worth Considering?
The value is clarity: you can see exactly what is included before buying. The curriculum is suited to learners who want a code-led introduction to algorithmic trading workflows. It is designed to help you follow the included code, market-data and strategy workflow in a clear sequence. No performance outcome is promised; the purchase gives access to the educational files listed on this page.
What You Will Study
The course focuses on algorithmic trading with Python. Representative items taken directly from the supplied index include:
- Introduction.mp4
- Module 1 – Overview.mp4
- Efficient Markets.mp4
- Theoretical Financial Models.mp4
Complete Oreilly – Hands-On Algorithmic Trading with Python Course Index
Every item from the supplied course directory is retained below. Open each section to inspect the full curriculum without loading one oversized list.
Source folder structure
- 1. Introduction
- 2. Module 1 – Overview Of Algorithmic Trading Models
- 3. Module 2 – Processing Data
- 4. Checkpoint
- 5. Module 3 – Designing Trading Algorithms
- 6. Module 4 – Prototyping Trading Algorithms
- Exercise Files
Course files — Part 1 (25 files)
- 1. Introduction.mp4 (72.73 MB)
- 1. Module 1 – Overview.mp4 (48.18 MB)
- 2. Efficient Markets.mp4 (74.26 MB)
- 3. Theoretical Financial Models.mp4 (73.37 MB)
- 4. Empirical Financial Models.mp4 (33.49 MB)
- 5. The Trinity of Errors Financial Models.mp4 (64.89 MB)
- 6. Development Process.mp4 (74.12 MB)
- 7. Performance Metrics.mp4 (33.86 MB)
- 8. Module 1 – Summary.mp4 (74.23 MB)
- 1. Module 2 – Overview.mp4 (29.88 MB)
- 2. Data Sources.mp4 (73.79 MB)
- 3. Processing Data.mp4 (74.22 MB)
- 4. Analyzing Data.mp4 (74.00 MB)
- 5. Module 2 – Summary.mp4 (37.66 MB)
- 1. Checkpoint.mp4 (72.26 MB)
- 1. Module 3 – Overview.mp4 (67.17 MB)
- 2. Trading Strategies.mp4 (72.86 MB)
- 3. Expected Return.mp4 (74.09 MB)
- 4. Expected Risk.mp4 (73.01 MB)
- 5. Capital Management.mp4 (72.72 MB)
- 6. Module 3 – Summary.mp4 (74.15 MB)
- 1. Module 4 – Overview.mp4 (55.18 MB)
- 2. Algorithm Framework.mp4 (72.97 MB)
- 3. Backtesting Algorithms.mp4 (64.18 MB)
- 4. Backtesting Pitfalls.mp4 (20.65 MB)
Course files — Part 2 (10 files)
- 5. Implementation Issues.mp4 (73.51 MB)
- 6. Module 4 – Summary.mp4 (38.69 MB)
- 7. Conclusion.mp4 (74.13 MB)
- .gitignore (30.00 B)
- Algo_backtesting.ipynb (11.97 KB)
- Algotrading_Datasources.ipynb (11.77 KB)
- Algotrading_Processing_Data.ipynb (16.85 KB)
- Dockerfile (680.00 B)
- README.md (3.32 KB)
- requirements.txt (125.00 B)
Who Is This Course For?
- Learners who want a code-led introduction to algorithmic trading workflows
- Buyers who want to inspect the complete file list before purchase
- Self-directed learners comfortable working through recorded material
- This is educational material, not personalized financial advice
- The index does not establish guaranteed results
- Some large packages require significant storage and study time
Oreilly – Hands-On Algorithmic Trading with Python offers a transparent 35-file curriculum for learners focused on algorithmic trading with Python. The full outline makes it easy to judge fit before purchase. If the topics match your current study plan, use the button below for immediate delivery and lifetime access.
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Independent learning resources: Python documentation · pandas documentation
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