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Oreilly Hands-On Algorithmic Trading with Python by Deepak Kanungo INDEX:
📁 1. Introduction
📄 1. Introduction.mp4 (72.73 MB)
📁 2. Module 1 – Overview Of Algorithmic Trading Models
📄 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)
📁 3. Module 2 – Processing Data
📄 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)
📁 4. Checkpoint
📄 1. Checkpoint.mp4 (72.26 MB)
📁 5. Module 3 – Designing Trading Algorithms
📄 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)
📁 6. Module 4 – Prototyping Trading Algorithms
📄 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)
📄 5. Implementation Issues.mp4 (73.51 MB)
📄 6. Module 4 – Summary.mp4 (38.69 MB)
📄 7. Conclusion.mp4 (74.13 MB)
📁 Exercise Files
📄 .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)
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