This article was first published on Nebulasio - Medium
What can we learn from the recent market crash? PCTA’s data experts share their insights
“What can we learn from data about the recent market crash?”
At 21:00~22:00(UTC+8) on November 29th 2018, the Public Chain Technology Alliance (PCTA) hosted its 3rd live ask-me-anything (AMA) session at the r/CryptoCurrency channel on Reddit.
Representatives from PCTA partners, including Nebulas, Ruff Chain，Marsfinance, Bottos, Xmax, Searchain, NULS, Datanno, Liquidity Capital, Tokenclub, and Huobi Research joined the discussion. Representatives from the above-mentioned projects shared their viewpoints on the current crypto market crash.
All welcomed to follow @BitsclubPCTA on Twitter and the PCTA Reddit Channel.
Guests invited to this AMA included:
Nebulas founder Hitters Xu, Nebulas co-founder Aero Wang, XMAX CEO Hughes Ching, Searchain.io CEO Zun Wang, Tokenclub CEO Tong Gao, Ruff Chain CEO ROY, Senior partner of Liquidity Cap Daniel, Huobi Research data analyst Benjamin Shi (Hai Du), Senior researcher of Nebulas Research Institute Zaiyang Tang and the overseas community manager of NULS, Essam.
Some key themes and takeaways from the AMA include:
1. What are the biggest challenges in your data analysis? What’s lacking in blockchain data at the moment?
Answer: Aero Wang (Nebulas co-founder)
The biggest challenge now is that we don’t have enough data. Generally, we only have two types of data: transactions, and smart contract invocation. For exchanges, they may have the identification behind an account. But still, that’s far from enough.
Another problem is how to extract useful information from these data. For a transaction, we can get some metadata, such as the from address, to address, value, block height, etc.
Answer: Zun, (CEO of Searchain.io)
The biggest problem is the lack of data for analysis, which is also a shortcoming: the market lacks more dimensional data and the discussion of data mining. From the current published research, we find that the data ...
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Nebulasio - Medium