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. 

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我想大多数人可能还没有意识到@blur_io 给 NFT 行业带来了多大的影响，以及@opensea 和其他交易所的危机有多严重。今天，我就利用@TransposeData的数据，为大家做一个简单的分析。

在12月4日,竞争币季节指数达到88,这表明非比特币加密货币可能表现优于第一大币种。然而,山寨币季节的机会可能遭受了打击...

竞争币季节机会下降，但 3 个指标表明可能复苏

以太坊(ETH)价格前景一直是投资者关注的焦点。在这种情绪中,这种加密货币已经上涨到4,000美元以上,并且在某一时刻降至3,200美元以下。

以太坊价格展望： ETH大额交易额达110亿美元，反弹10%

Binance Alpha 上币，就像有奖竞猜。

盘点 Binance Alpha 第三期项目，多代币在消息发布前开始上涨

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 

从2月10日开始，Blur的数据开始呈现上升趋势，2月10日交易量为7984 ETH ，而OpenSea为9244 ETH 。然而，在接下来的一周，Blur 实现了交易量的大幅增长，15 日的交易量是 OpenSea 的两倍

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… https://twitter.com/i/web/status/1635789741064089600 

从2月中旬开始，blur占据市场主导地位，几乎所有数据都遥遥领先于opensea。然而，2月20日，opensea的交易量出现了巨大的暴涨。除去当天的影响，opensea和blur的对比如下图……https://twitter.com/i/web/status/1635789741064089600

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. 

以昨天的数据为例，opensea的交易量为8295 ETH，blur的交易量为23609 ETH，x2y2的交易量为3302 ETH，而sudoswap只有31 ETH。相比opensea，其他NFT交易所几乎面临着绝对的挑战。

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… https://twitter.com/i/web/status/1635790392338812928 

最后给大家介绍一下我一直在用的在线数据分析产品@TransposeData。它提供实时数据。 Altas 部分是 Transpose 示例的集合，您可以在其中找到各种有趣的在线分析示例。 …https://twitter.com/i/web/status/1635790392338812928

If you want to do further analysis, here is the sql query that I used:
https://github.com/Daniel-Verilog/tranpose-sql-query
I also posted in the @TransposeData:
https://app.transpose.io/atlas/8OQmSYOAqLQd
thanks 🥳🥳🥳

如果你想做进一步的分析，这里是我使用的 sql 查询：
https://github.com/Daniel-Verilog/tranpose-sql-query
我还在@TransposeData 中发帖：
https://app.transpose.io/atlas/8OQmSYOAqLQd
谢谢🥳🥳🥳