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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

Calculating portfolio drift

Portfolio drift is the gradual change in the allocation of assets in a portfolio over time. This can occur due to a number of factors, including changes in the market value of the assets.

Portfolio drift can have a number of negative effects on the portfolio, such as increased volatility, reduced diversification, and reduced returns. It can also cause the portfolio to deviate from its target allocation, which can affect an investor’s ability to achieve their investment goals.

Let’s look at how we can calculate portfolio drift:

  1. First, we need to gather the current situation. We’ll need to have the original model portfolio allocations, how many units we hold of each ETF, and the latest market prices for those ETFs:
    allocations = [obj.percentage for obj in myPortfolio.allocations]
    holdings = [obj.units for obj in myPortfolio.allocations]
    market_values = []
    for allocation in myPortfolio.allocations:
      price = float(yf...
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