Decrypting cryptocurrency trends - crypto data and sentiment APIs powered by state-of-the-art ML algorithms built in-house

1. Aaron Li, CEO
aaron@qokka.ai
empowering crypto developers and traders
with sentiments and social trends API
Decrypting cryptocurrency trends
distilling the world’s opinions
Powered by
Ethereum
network
social media
public network
own server
😐
contract
bad behavior
good bot
smart phone
😀
fork
hard fork
hard cap
third party
😡
April 10 ($417)

2. about me & crypto & AI
Bitcoin miner in 2011 - 2013
Lead engineer (founding team, headed AI);
Software Engineer (ML + Research)
MSc in Language Technologies (a.k.a Pre-PhD)
(Computer Science + Machine Learning, with ACM KDD Best Research Paper Award)
BSc First Class Honours, Quadruple Major in CS, CS, Mathematics, Statistics
Beijing Native, immigrated to New Zealand, Australia, and later USA (thanks to “Einstein Green Card”);
Aaron Li - Founder, CEO @ Qokka

3. Presentations & Interviews
Machine Learning and Blockchain [slides] [video]
An Introduction to Initial Coin Offerings (ICO) [slides] [video]
Blockchain: the tech in Bitcoin, Ethereum, ICO, and more [slides] [video]
Crypto: Value and Risks [slides] [video]
Evaluating Crowdfunding Projects - Technology Perspective [slides] [video]
Steem: the $1 billion crypto for content curation and creation [slides] [video]
Fundraising without ICO: SAFTE— flexible for both token sale and equity financing [blog]
Crypto / Blockchain
Reducing the Sampling Complexity of Topic Models [paper] [slides] [video] [github]
Topic Modeling: for news recommendation, user behavior modeling, and more [slides] [github]
Parameter server for distributed machine learning [paper] [citations]
High Performance Latent Variable Models [paper]
Multi-GPU Distributed Parallel Bayesian Differential Topic Modelling [paper]
AI / Machine Learning
August 2, University of Auckland: CDTCS [news] [photos]
June 2, Beijing: Tsinghua University [flyer] [photos]
June 1, Beijing: Google China [photos]
May 31, Beijing: Alpha Startups [news] [photos]
May 30, Beijing: Startup Grind [intro] [photos]
May 27, Hangzhou / Shanghai: Global Fintech Lab [registration] [photos]
Talks / Meetups
May 25, Shenzhen: TEDx JNU [flyer] [photos]
May 23, Hong Kong: Metta Private Club [registration] [photos]
May 21, Singapore: 1880 Private Club [poster] [photos]
April 23, Google, San Francisco: Xoogler Demo Day [blog]
April 14, CMU Summit - AI Panel [blog]
April 13, CMU Summit - Blockchain Panel [blog]

4. Sentiment v.s. Price
News Analysis
Topics, Opinions, Highlights
Pricing
Discount CodeMarket Overview

5. Sentiment v.s. Price
Price: >20% drop in 1 dayEthereum
$225 on Sep 5
$283 on Sep 4
Negative Sentiment:
~100% increase in 1 day 62% on Sep 2
32% on Sep 1
Positive Sentiment:
~75% drop in a day 5% - 10% on Sep 2
15% - 20% on Sep 1
*based on discussion data from Reddit
Sentiment Spike Price Move

6. Sentiment v.s. Price
Trading Volume
Social Volume
(# comments)
Week ending in Feb 18, 2019
Sentiment Score
higher +/- ratio
higher score
less neutral sentiment
higher score
*based on discussion data from Reddit

7. Sentiment v.s. Price Bitcoin
*based on discussion data from Reddit

8. Sentiment API
/crypto/sentimentChartGET

9. < 15 minute delay*
Sentiment API
/crypto/sentimentChartGET
Top 200 cryptos
Hourly or daily resolution
* for popular cryptocurrencies
Coming soon:
less delay
more sources
higher resolution

10. News Analysis
Topics, Opinions, Highlights
Pricing
Market Overview
Sentiment v.s. Price

11. Market Overview
What is the overall sentiment of the market?
How are cryptos perceived differently between each other?
Which cryptos are distinctively positive so it might “beat the market”?

12. A quarter’s market sentiment in review
Market Overview
Nov 19, 2018 - Feb 19, 2018
Relative to BTC
Not all greens are good:
their sentiment could have large volatility!

13. Market Overview
/crypto/overviewGET
1d, 1w, 1m, 3m, 1y
Social volume + sentiment

14. Sentiment v.s. Price
News Analysis
Topics, Opinions, Highlights
Pricing
Market Overview

15. News Analysis
Latest news for each crypto that people comment on*
*based on discussion data from Reddit
Measures overall sentiment of people’s comments
for each news piece

16. News Analysis
Not all positive news bring positive reaction…
Why sentiment analysis on comments?

17. News Analysis
Not all positive news bring positive reaction…
Why sentiment analysis on comments?
News on Nov 18, 2018
Crypto ETF Approved in Switzerland
A few days later… Bitcoin price crashed
(~$4500 down to ~$3000)
Comments are negative. Why? Because it is not really an ETF

18. News Analysis
/news/latestGET

19. Sentiment v.s. Price
News Analysis
Topics, Opinions, Highlights
Pricing
Market Overview

20. Topics, Opinions, Highlights
Trending words for each crypto
What do people focus on?
Technical matters, or buzz words?
What kind of technical matters?

21. Topics, Opinions, Highlights
Visualization of topics and phrases for ETH
(week ending in Feb 20, 2019)
People still mostly discuss use cases and technologies
even in bear market

22. Topics, Opinions, Highlights
Digging into highlights of topic “system”
(week ending in Feb 20, 2019)
Highlights for positive / negative perspectives
summarized for top news for each topic
What happened this week that really matters?
In each topic:
How do people react and what do they think?

23. Topics, Opinions, Highlights
/crypto/summariesGET

24. Sentiment v.s. Price
News Analysis
Topics, Opinions, Highlights
Pricing
Market Overview

25. Pricing CryptoQokka.com CryptoQokka.com/developer