The document discusses analyzing cryptocurrencies with Python. It introduces Portia Burton, a developer and crypto fan, and their Blockchain Explainer company. It then covers why blockchains are important, what cryptocurrencies are, how they fit into modern portfolio theory, metrics for measuring portfolio performance like standard deviation and correlation, and how Python tools like Pandas, Pyfolio, and Requests can help evaluate cryptocurrencies. The document includes slides on blockchain properties, why blockchains are gaining importance, the differences between utility and security tokens, and a demonstration of using Python for cryptocurrency analysis.

1. Analyzing
Cryptocurrencies
with Python

2. HELLO!
I am Portia Burton
Developer and Crypto Fan @pkafei
Founder of Blockchain Explainer

3. 1.
Why do I do this?
Let’s start with the first set of slides

5. 2.
YAWIS
Yet Another What is
Blockchain?

6. Main Properties of the Blockchain
❏ Distributed
❏ Trustless
❏ Immutable Ledger

7. Immutable Ledger

8. Proof of Work

9. Why are Blockchains Important?
Introduce Efficiency

10. Eliminating the Overpaid Wall Street
Workers

11. Separating Wealth From State

12. Western Union Alternative

13. 3.
What the Heck is
Cryptocurrency?

14. The OG of Cryptocurrencies!

15. What is a Cryptocurrency?
A cryptocurrency is a
type of token or asset
that has a blockchain
as a data structure

17. Utility Token vs Security
A Utility Token
plays a role in the
way the platform
works
A Security is an
instrument used to
raise capital

18. SEC Decision on Cryptocurrencies

19. The IRS Classifies Cryptocurrencies as
Property

20. Jamie Dimon Thinks it is a Fraud!😉

21. 4.
Geeky Finance Time

22. How Do We Fit Cryptocurrencies in
Our Current Personal Finance
Framework?

23. Modern Portfolio Theory

24. “Higher returns are achieved by taking on
higher risk”
Harry Max Markowitz

25. Everyone’s Appetite For Risk is
Unique!!!!

26. 5.
Metrics of Measuring
a Good Portfolio

27. Standard Deviation of Returns

28. Correlation of Returns

29. 6.
Can Python Help Us
Evaluate
Cryptocurrencies?

30. Python
And Finance

34. Pandas Pyfolio Requests Jupyter
Roundup of Packages

35. Demo Time!

36. THANKS!
Any questions?
You can find me at
» @pkafei
» www.blockchainexplainer.com
🐟

37. References
https://romanorac.github.io/cryptocurrency/analysis/2017/12/25/cryptocurrency-analysis-
with-python-part2.html
https://github.com/romanorac/romanorac.github.io/tree/master/assets/data
https://www.forbes.com/sites/laurashin/2016/06/02/4-reasons-why-bitcoin-represents-a-
new-asset-class/#396e447d3426