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Robo-Advisor with Python

You're reading from   Robo-Advisor with Python A hands-on guide to building and operating your own Robo-advisor

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Product type Paperback
Published in Feb 2023
Publisher Packt
ISBN-13 9781801819695
Length 250 pages
Edition 1st Edition
Languages
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Author (1):
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Aki Ranin Aki Ranin
Author Profile Icon Aki Ranin
Aki Ranin
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Table of Contents (22) Chapters Close

Preface 1. Part 1: The Basic Elements of Robo-Advisors
2. Chapter 1: Introduction to Robo-Advisors FREE CHAPTER 3. Chapter 2: What Makes Up a Robo-Advisor? 4. Chapter 3: Robo-Advisor Platforms versus Algorithms 5. Chapter 4: Leasing, Buying, or Building Your Own Robo-Advisor 6. Part 2: Building Your Own Robo-Advisor
7. Chapter 5: Basic Setup and Requirements for Building a Robo-Advisor 8. Chapter 6: Goal-Based Investing 9. Chapter 7: Risk Profiling and Scoring 10. Chapter 8: Model Portfolio Construction 11. Chapter 9: Investment Projections 12. Chapter 10: Account Opening and KYC 13. Chapter 11: Funding Your Account 14. Chapter 12: Order Management and Execution 15. Part 3: Running and Operating Your Own Robo-Advisor
16. Chapter 13: Performance Reporting 17. Chapter 14: Rebalancing 18. Chapter 15: Dividends and Fee Management 19. Chapter 16: Regulations for Robo-Advisors 20. Index 21. Other Books You May Enjoy

Summary

This chapter has given us the basic tools we will need to build our Robo-advisor. We started by choosing Colab as our Python development tool. Those who prefer to work offline could opt to install the popular Anaconda Python environment on their local machine and use browser (Jupyter) or desktop (Spyder) applications as their editors. At the end of the day, all will work, but to get started quickly and easily, Colab is the way to go.

Once we established some file management tools available on Colab, we created our first notebook. As a reminder, should you choose to switch to offline later, you can download your Colab notebooks and run them on Jupyter or Spyder.

With our first notebook, we tried installing additional modules that were not already included in Colab and downloaded some samples of market data. We will be using market data from Yahoo Finance extensively in this book to implement and test our Robo-advisor capabilities as we go along. Finally, we used another...

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