10/ Crypto Daily (@cryptodailyuk) covered by @ex1tn0d3 🙏
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10/ Crypto Daily (@cryptodailyuk) covered by @ex1tn0d3 🙏
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9/ The Daily Hodl (@TheDailyHodl) 🙏
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5/ The Block (@TheBlock__) covered by @_tommatsuda 🙏
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1/ Forbes (@Forbes) covered by @ninabambysheva🙏
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2/ Bloomberg (@business @technology) interview by @emilychangtv, @sonalibasak who sat down with @saranormous from Series B lead investor @GreylockVC 🙏🙏
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2/Bloomberg(@business@technology)采访@emilychangtv,@sonalibasak,他与B辑首席投资人@GreylockVC的@saranormous坐了下来🙏🙏
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ICYMI: 0x Labs raised $70M in Series B funding last week to grow their team and products to expand the #0xEcosystem and onboard the next 100M users into Web3 🪴
A round up 🧵 of top media coverage + shoutouts to the publications and journalists who covered the exciting news...
ICYMI:0x实验室上周筹集了7000万美元的B系列资金,以发展他们的团队和产品,扩展#0xEconomic,并将未来1亿用户带入Web3🪴
综述🧵 顶级媒体报道+向报道这一激动人心的新闻的出版物和记者大喊。。。
ACHIEVEMENT UNLOCKED!🔓
0x API hit $100B in total multi-chain aggregated liquidity, fueling the ever-expanding #0xEcosystem 🚀
Free-to-use and easy to integrate, 0x API is the golden path to accessing the most reliable liquidity at the best prices.
🏗️👉 https://link.0x.org/API https://t.co/WDoXPOiaD1
成就解锁!🔓
0x API的多链聚合流动性总额达到1000亿美元,推动了不断扩大的生态系统🚀
0x-API免费使用,易于集成,是以最佳价格获取最可靠流动性的黄金之路。
🏗️👉 https://link.0x.org/API https://t.co/WDoXPOiaD1
According to our most recent data, in 5% of trades above $1,000, users would have gotten a better deal by getting an RFQ quote but instead suffered AMM slippage.
The good news - we plan to automate this evaluation for all users of 0x API applications 🔮
根据我们最新的数据,在1000美元以上的交易中,有5%的交易中,用户本来可以通过获得RFQ报价获得更好的交易,但却遭到了AMM的延误。
好消息是,我们计划为0x API应用程序的所有用户自动执行此评估🔮
With 0x RFQ trades, you don’t need to pay for gas (it’s efficient and included in the quote), reverts are free and you suffer no slippage 💪
Try it out @ https://matcha.xyz/ https://t.co/ERniJLAMBc
在0x RFQ交易中,你不需要支付汽油费(这是有效的,并包含在报价中),恢复是免费的,你不会遇到延误💪
试试看@https://matcha.xyz/ https://t.co/ERniJLAMBc
In the near future, we will be integrating slippage data into our routing algorithms, providing even better prices for our users. Stay tuned!
s/o to data gurus @dumbbets1 & @sui414 👇
To learn more, check out our full report on MEV-induced slippage 👇
https://blog.0x.org/measuring-...
在不久的将来,我们将把滑动数据集成到我们的路由算法中,为我们的用户提供更好的价格。敬请期待!
s/o至数据大师@dumbbets1&@绥中414👇
要了解更多信息,请查看我们关于MEV诱导滑脱的完整报告👇
https://blog.0x.org/measuring-...
For large trades, bots monitoring the mempool will manipulate the price against you and push it towards your slippage tolerance 📉
The likelihood of a trade in the range of $10k-$100k being sandwiched was in the double digits! https://t.co/sdKFmYQLUE
对于大额交易,监控mempool的机器人会操纵价格,并将其推向你的滑动容忍度📉
夹在1万到10万美元之间的交易的可能性是两位数!https://t.co/sdKFmYQLUE
The data clearly shows that plenty of trades reach their maximum slippage tolerance, meaning that a bot attacked them.
This confirms our hypothesis - MEV attacks are usually designed to extract all value from the trade, moving the price to the worst acceptable price. https://t.co/LYq16ieh0T
数据清楚地表明,很多交易都达到了它们的最大滑动容忍度,这意味着一个机器人攻击了它们。
这证实了我们的假设——MEV攻击通常旨在从交易中提取所有价值,将价格移动到最坏的可接受价格。https://t.co/LYq16ieh0T
One common solution to the slippage problem are RFQ systems, implemented across various DEXes.
Market makers compete against on-chain liquidity and if they beat it, they send you a tailored order that only you can take. No bots, no slippage. https://t.co/fxQs7iHsIP
打滑问题的一个常见解决方案是RFQ系统,它跨多个索引实现。
做市商与供应链上的流动性竞争,如果他们赢了,他们会向你发送一份只有你才能接受的定制订单。没有机器人,没有滑倒。https://t.co/fxQs7iHsIP
Have you ever wondered what happens when you confirm a trade on a DEX?
Why is the final price worse than the price in the UI? Ser, you might have slipped! 🍌
We looked at ~700k 0x API trades to gain insights about slippage: how often does it occur and what is the impact?
🧵
你有没有想过当你在DEX上确认交易时会发生什么?
为什么最终的价格比UI中的价格更差?爵士,你可能滑倒了!🍌
我们查看了约700k 0x API交易,以了解滑差:滑差发生的频率以及影响是什么?
🧵