I think most people probably haven't realized how much impact @blur_io has brought to the NFT industry and how serious the crisis is for @opensea and other exchanges. Today, I will use the data from @TransposeData to provide a simple analysis for everyone.
Starting from Feb 10th, the data for Blur began to show an upward trend, with a trading volume of 7984 ETH on Feb 10th, compared to 9244 ETH for OpenSea. However, in the following week, Blur achieved a significant increase in trading volume, doubling the volume of OpenSea on 15th
Starting from mid-February, blur has dominated the market and almost all the data has been far ahead of opensea. However, on February 20th, opensea experienced a huge surge in trading volume. Excluding the impact of that day, the comparison between opensea and blur is shown in… twitter.com/i/web/status/16357...
Taking yesterday's data as an example, opensea had a trading volume of 8295 ETH, blur had a trading volume of 23609 ETH, x2y2 had a trading volume of 3302 ETH, and sudoswap only had 31 ETH. Compared to opensea, other NFT exchanges are almost facing absolute challenges.
Last but not least, I'd like to introduce to everyone the online data analysis product that I have been using, @TransposeData. It provides real-time data. The Altas section is a collection of Transpose examples, where you can find various interesting online analysis examples. The… twitter.com/i/web/status/16357...
If you want to do further analysis, here is the sql query that I used:
github.com/Daniel-Verilog/tran...
I also posted in the @TransposeData:
app.transpose.io/atlas/8OQmSYO...
thanks 🥳🥳🥳
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Disclaimer: The content above is only the author's opinion which does not represent any position of Followin, and is not intended as, and shall not be understood or construed as, investment advice from Followin.
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