Course Plan

    1. 1.1 Setting Up Your IDE & Python Environment

    2. 1.1 Code

    3. 1.2 Installing Key Libraries

    4. 1.2 Code

    5. 1.3 Working with Docker Containers for Development

    6. 1.3 Code

    7. 1.4 Setting up DataBase

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    8. 1.4 Code

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    1. 2.1 Introduction to Python

    2. 2.1 Code

    3. 2.2 Getting Started with Pandas

    4. 2.2 Code

    5. 2.3 Exploring NumPy for Numerical Computing

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    6. 2.3 Code

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    7. 2.4 Visualizing Data with Matplotlib and Plotly

    8. 2.4 Code

    9. 2.5 Handling Financial Data Files

    10. 2.5 Code

    11. 2.6 Retrieving Financial Data with Yahoo Finance (Advanced)

    12. 2.6 Code

    13. 2.7 Performing Statistical Analysis of Financial Data (Advanced)

    14. 2.7 Code

    1. 3.1 Key Technical Indicators and Oscillators

    2. 3.1 Code

    3. 3.2 Advanced Patterns in Technical Analysis

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    4. 3.2 Code

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    5. 3.3 Volume Pattern Analysis and Use in Trading

    6. 3.3 Code

    1. 4.1 Introduction to Fundamental Analysis

    2. 4.1 Code

    3. 4.2 Implementing Factor Investing Strategies

    4. 4.2 Code

    5. 4.3 Exploring Advanced Factor Models

    6. 4.3 Code

    1. 5.1 How to store data for Instruments - designing Instrument Data

    2. 5.1 Code

    3. 5.2 Implementing Instruments Calculations and Plotting

    4. 5.3 How to store data for Portfolio with multiple Instruments

    5. 5.3 Code

About this course

  • $399.00
  • 66 lessons
  • 11 hours of video content