Our keynote presented by Jesus Rodriguez at the AI and Data Science in Trading Conference in London

1. Crypto Assets are a
Data Science Heaven

2. New Title: A
Quantamental
Perspective About
Crypto-Assets

3. Agenda
3
❖ 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 about crypto assets that will shock you
❖ New intelligent factors for crypto assets

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

5. Crypto is a new asset class
with new fundamentals

6. What makes crypto
assets different?

7. Some Things You’ve Heard Before
7
“Crypto-Markets are irrational”
“Crypto is not directly correlated with other
asset classes”
“Crypto-assets are constantly vulnerable to
cyber attacks”

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

9. The Real Differentiators
9
Crypto Assets
record their
behavior in
public ledgers
Crypto Assets
power DApps

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

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

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

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

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

17. Data Science
New Risk
Management
Metrics
New
Alpha/Smart-
Beta Generating
Factors
New Sources of
Market Insights

18. New Sources of Alpha in Crypto Assets:
What we can find when we look deeper….

19. What percentage of Bitcoin
investors are making money?

20. 2026
In/Out Money Analysis: Bitcoin

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

22. 2228
In/Out Money Analysis: Ethereum

23. Is anybody losing money with
stablecoins?

24. 2430
Break Even Analysis: Tether

25. Should I be concerned about whales?

26. 2632
Which Crypto-Asset do you Like the Most?

27. 2733
Which Crypto-Asset do you Like the Most?

28. 2834
A Non-Ideal Situation

29. Is new money coming to crypto assets?

30. 3036
Traders Analysis: Litecoin

31. Is the Bitcoin network growing?

32. 3238
Address Analysis: Bitcoin

33. Does trading happen when
I’m sleeping?

34. 3440
East vs. West: Bitcoin Cash

35. Can I understand what happens
inside crypto-exchanges?

36. 3642
Exchange Inflow-OutFlow: Bitcoin

37. A Powerful Idea:
Crypto-Assets
datasets are the
source of new factors
that have no
equivalent in other
asset classes

38. In-Out of the Money Positions provide more
objective indicators of support and resistance

39. In-Out Money Support-Resistance: Ethereum

40. Large Transactions are a strong indicator of the
health of a crypto-asset and can signal future large
positions.

41. 4147
Large Transaction Momentum: Bitcoin

42. Changes in the positions of large investors could
signal drastic market movements

43. Whales Position Variance: Ethereum

44. Network growth typically indicates resilience to
market fluctuations

45. Network Growth Momentum: Litecoin

46. New investor activity is often an indicator of
strong price activity

47. Traders Momentum: Bitcoin SV

48. Inter-exchange money movements could signal
sizable positions in crypto assets

49. Exchange Inflows-Outflows: Bitcoin

50. There are Plenty of Challenges
50
❖ Exchange noise
❖ Anonymity
❖ Fake volumes
❖We are working on it!

51. Summary
51
❖ 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
❖ Crypto assets produce new factors that have no
equivalent in other asset classes

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