47 Geeks on the Quality of Crypto Assets
Here are three interview questions we asked candidates for a position as a Research Analyst at Vinter:
- Out of the top 30 assets by market cap, which assets do you think are of high quality?
- And which are of low quality?
- What general criteria do you see for evaluating quality?
Respondents
The job ad had about 400 applicants. The initial screening, IQ tests, and personality tests removed most of these applicants. 47 geeky candidates remained in this third step. It was a 30-minute interview with a series of questions, including our three quality questions: what is high quality, what is low quality, and how do you assess that? This post summarizes their answers. Note that every single respondent has an IQ way above average and spends a lot of their time (if not all of their time ) learning about crypto.
1. High-quality assets
List of the top responses (including a frequency count) of high quality.
- ETH 36
- BTC 26
- SOL 19
- LINK 11
- AVAX 10
- ADA 9
- BNB 9
- ATOM 7
- DOT 6
2. Low-quality assets
List of the top responses (including a frequency count) of low quality.
- DOGE 25
- SHIB 15
- ADA 9
- USDT 9
- LTC 6
- XRP 6
Personally, I would put LTC and XRP at the top of this list. USDT has got some serious issues, however, you cannot deny it’s importance for crypto trading so I do hope the quality is higher than its reputation.
A week ago, Vinter launched the K33 Vinter Crypto Quality Index. Since this index tries to answer the very same questions of what high quality is and how you measure quality, it is interesting to compare the results.
The most notable difference is DOGE. The Research Analyst Candidates say that DOGE is of low quality, whereas the K33 Vinter Quality Index contains DOGE (but not SHIB). The argument from K33 goes something like this: Dogecoin is the original memecoin and has survived — and thrived — multiple market cycles. If one memecoin is to be standing, we most certainly believe it will be Dogecoin. There are strong arguments for both sides here.
3. Criteria for evaluating quality
Here are the top responses (including a frequency count) on the question of the general criteria to evaluate quality.
- Trading volume 14
- Total value locked 12
- Market cap 8
- Number of nodes 7
- Protocol 9
- transaction volume 6
We can contrast this with the five pillars used in the K33 Vinter Quality Index:
- Persistent network effects
- Use
- Regulatory risk
- Ecosystem size and liveness
- Inflation schedule and ownership concentration
For more information on each pillar, visit vinter.co/k33 or read the index methodology
