This session provides an outline of data science techniques for crypto-assets. The content introduces the notion of crypto asset fundamental analysis and highlights some shocking data about crypto-assets

1. Crypto Assets
are a Data
Science Heaven

2. Agenda
2
❖ Crypto is a new asset class that requires new fundamentals
❖ Crypto Asset Fundamental Analysis
❖ A data science first perspective of crypto assets
❖ Some data insights that will shock you

3. Let’s start with
an obvious
statement...

4. Crypto is a new asset class
with new fundamentals

5. Every financial asset
class in history has
created new
analytical factors

6. Price, volume, information
correlations…
24x7 markets….
Supply-Demand balance…. Dividends, risk….

7. What makes crypto
assets different?

8. Some Things You’ve
Heard Before
8
“Crypto-Markets are irrational”
“Crypto is not directly correlated with other
asset classes”
“Crypto assets are constantly vulnerable to
cyber attacks”

9. Some Things You’ve
Heard Before
9
“Crypto-Markets are irrational”
“Crypto is not directly correlated with
another asset classes”
“Crypto-assets are constantly vulnerable to
cyber attacks”

10. The Real Differentiators
10
Crypto Assets
record their
behavior in
public ledgers
Crypto Assets
power DApps

11. Crypto Assets are the richest data
asset class in history

12. And the first one that
reveals individual investor
behaviors….

13. But if crypto assets
are so different…
Why do we analyze
them using the same
old techniques?

14. The relationship between the
transparency of a market and the
complexity of its analysis…

15. The less transparent
the financial market,
the more complex
the analyses that are
created to try to
explain its
behavior….

17. Analyzing crypto assets with just price and
volume is being lazy and ignoring the data-
rich universe of this new asset class

18. INTRODUCING
Crypto Assets require a new form
of analysis…

19. 19
Crypto-Asset Fundamental Analysis

20. 20
CAFA Dimensions
Crypto-Asset
Behavior
Financial
Network
OwnershipBehavioral
Social

21. 21
Three Key Principles of Crypto-Asset Fundamental
Analysis
Human
relatable
indicators
Powered by data
science
Blockchain datasets
as a first-class citizen

22. Crypto Asset Fundamental Analysis in Action:
What we can find when we look deeper….

23. What percentage of Bitcoin
investors are making money?

24. 2424
In/Out Money Analysis: Bitcoin

25. Are Ethereum investors as
happy as Bitcoin’s?

26. 2626
In/Out Money Analysis: Ethereum

27. Is anybody losing money
with stablecoins?

28. 2828
Break Even Analysis: Tether

29. 2929
Break Even Analysis: Dai

30. Should I be concerned
about whales?

31. 3131
Which Crypto-Asset do you Like the Most?

32. 3232
Which Crypto-Asset do you Like the Most?

33. 3333
A Non-Ideal Situation

34. Is new money coming to
crypto assets?

35. 3535
Traders Analysis: Litecoin

36. Is money flowing out of a
crypto asset?

37. 3737
Address Analysis: BAT

38. 3838
Address Analysis: Huobi Token

39. Does trading happen when
I’m sleeping?

40. 4040
Which Decentralized Exchange Protocol Do You Like the Most?

41. A Data Science-First Approach
41
OnChain
+
OffChain
Datasets
Data
Science
Indicators
Data
Science
Signals
Data
Science
Trading
Strategies

42. CAFA Challenges
42
❖ Exchange noise
❖ Anonymity
❖ Fake volumes
❖ We are working on it!

43. Summary
43
❖ Crypto assets require a new form of
financial analysis
❖ Blockchain datasets reveal incredible
insights about the behavior of crypto
assets
❖ Data science can help simplify crypto
asset analysis for masses

44. INTRODUCING
Jesus Rodriguez
jr@intotheblock.io
medium.com/@jrodthoughts
intotheblock.com
Thank You!