This session provides an overview of how to apply machine learning techniques to crypto assets

1. Understanding
Crypto-Assets
Using Machine
Intelligence

2. HELLO!
Jesus Rodriguez

3. About Me
▸ Microsoft alumni, reformed Wall Street quant
▸ Serial entrepreneur
▸ Chief Scientist, Invector Labs
▸ CTO, IntoTheBlock
▸ Crypto Investor, LP, Angel Investor
▸ Board member of several AI and blockchain
companies

4. Machine
Intelligence for
Crypto-Assets?

5. Some questions
about crypto-
assets that drive
everyone crazy

6. “What moves the
price of crypto
assets?

7. “Can we predict
the price and
behavior of
crypto-assets?

8. Controversial
Idea #1
Traditional financial asset analysis methods
don’t work for crypto-assets

9. Three Financial Analysis
Methodologies
Fundamental
Analysis
Technical
Analysis
Quantitative
Analysis

10. Fundamental Analysis
Doesn’t work because crypto-assets are not based on
fundamentals
Quant Analysis
Doesn’t work because we don’t have enough historical data
Technical Analysis
Doesn’t work because crypto-assets are not based solely
on price and volume

12. Controversial
Idea #2
Crypto-Assets need a new form of technical-
quant analysis based on blockchain data
signals

13. Some Obvious Facts About Crypto-
Assets
They generate a lot of blockchain
data
Their behavior is permanently
recorded in blockchain blocks
External influential factors eventually
manifest in blockchain activity

14. Why not to use
blockchain signals
to analyze crypto-
assets?

15. Hallucination
Twitter Sentiment Analysis
Seriously????
Exchange Volume
They are vulnerable to fake
reports…
Telegram Threads
This is an indication of
people having nothing
better to do….
Whales Behavior
How are big holders
trading?
Investment Positions
What’s the current
distribution of investment
positions based on the buy
or sell activity?
Outlier Activity
Is there unusual activity
that can affect the behavior
of a crypto-asset?
Good Indicators

16. Controversial
Idea #3
Machine learning will lead the way to enable
effective crypto-asset analysis

17. About Machine Learning for Crypto-
Assets
• Apply
knowledge for
predicting future
behavior of
crypto-assets
• Improve
knowledge
based on real
time behavior
• Correlate on-
chain data with
the behavior of
crypto-assets
• Detecting data
signals in
blockchain
datasets
Identity Learn
PredictOptimize

18. Applying Machine
Intelligence to
Crypto-Assets

19. What Comes Next?
Are crypto-assets predictable?
How can we understand the behavior of crypto-assets?
How can machine learning and data science help?

20. THANK YOU!
jr@intotheblock.io
https://medium.com/@jrodthoughts