【教務處開學防疫相關措施】
Relevant prevention measures for the upcoming semester of the Office of Academic Affairs
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各位好:
因應嚴重特殊傳染性肺炎疫情發展,除校方發布各項防疫措施外,有關教學及其相關申辦業務,請各單位依據以下措施配合辦理:
一、110-1學期開學後前三週全面採遠距教學,授課教師應將上課網址及課程相關訊息公告於課程大綱 (有關NTU COOL課程網頁如何設為公開,詳見 https://www.dlc.ntu.edu.tw/2021/09/09/visibility/ )。實驗、實作或人數較少的研究所課程若需採實體授課,須依以下規範辦理:
(一) 落實課堂點名並禁止在教室內飲食。
(二) 上課教室應保持通風良好及定時清消。
(三) 全程配戴口罩,並維持安全社交距離 (1.5米或2.25平方米)。
(四)於110年9月24日前提出申請送教務處核定:申請表詳見課務組公告 https://www.space.ntu.edu.tw/navigate/s/CB679CFFA6134C83B4964E40A30A460AQQY
二、開學後第四週起上課方式,修課人數80人(含)以上課程採遠距教學,80人以下以實體課程為原則,特殊情形請於110年10月12日前提出申請送教務處核定:申請表詳見課務組公告 https://www.space.ntu.edu.tw/navigate/s/CB679CFFA6134C83B4964E40A30A460AQQY
(一) 採實體授課者,仍須依前述防疫規範辦理。
(二)本校鼓勵教師以數位和實體並行的混成方式進行教學準備,詳細資訊請見數習中心網站: https://www.dlc.ntu.edu.tw/2021/09/08/blended-teaching/
三、本學期加退選、停修彈性做法如下:
(一) 解除擋修、超修及減修申請書: 老師及系主任可親簽或用郵件代替簽名,請同學將申請書及相關同意證明以email寄至所屬教務單位承辦人。
(二) 開學後第一、二週加退選:
1.第1、3類方式加選:照舊(上網登記分發)。
2.第2類方式加選(授權碼): 建議老師可用信件傳遞授權碼予學生加選,並記錄學號留存,以利日後查核。
(三) 開學後第三週人工加選及停修:老師及系主任可親簽或用郵件代替簽名,請同學將申請書及相關同意證明,合併成1個pdf檔上傳至教務處。上傳網址將再另行公告。
(四) 因本學期前3週皆採遠距授課,同學在加退選期間若有加簽或聽課需求,請主動聯繫授課老師。
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教務處 敬上
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Dear NTU community members,
Given the current pandemic situation, the University is asking all academic and administrative units to comply with the following measures regarding teaching and learning for the upcoming semester despite the epidemic prevention measures released by the school:
A. All courses shall adopt distance learning in the first three weeks since 110-1 semester. Teachers shall announce course URL and relevant information on course description.(If you want to set the visibility of your course page on NTU COOL to be public, please see this document: https://www.dlc.ntu.edu.tw/2021/09/09/visibility/ ) If experiments, hands-on course,graduate courses with fewer people,wish to give physical course, please follow the measures listed below:
1. Teachers shall do the roll call, while eating and drinking in the classroom is forbidden.
2. Classrooms shall be cleansed and disinfected regularly, while kept ventilated.
3. Face masks must be worn throughout, while social distancing shall be maintained (e.g., 1.5 meters or 2.25 square meters).
4. Please submit an application form ( https://www.space.ntu.edu.tw/navigate/s/CB679CFFA6134C83B4964E40A30A460AQQY ) to the Office of Academic Affairs before September 24th.
B. In principle, 80 or above people selecting a course shall adopt distance learning from the fourth week of 110-1 semester. Courses under 80 people will be in-person classes. In special cases, please fill out this application form ( https://www.space.ntu.edu.tw/navigate/s/CB679CFFA6134C83B4964E40A30A460AQQY ) before October 12th.
1. In-person class shall comply with the regulations listed above.
2. Teachers are encouraged to adopt a blended teaching approach -a combination of online learning and in-person class - to prepare the courses. For more information, please see the website of Digital Learning Center: https://www.dlc.ntu.edu.tw/2021/09/08/blended-teaching/
C. The flexible measures of this semester for adding, dropping, and withdrawing classes are as follows.
1. The “Unblock Course Request Form”, “Course Overload Request Form”, and “Course Underload Request Form”:
The lecturer and the director may sign these request forms in person or reply by email to these request forms to indicate their approval of the request. Please email the request form and the proof for approval to the contact person in the Office of Academic Affairs.
2. Adding and dropping classes in the first and second week of this semester:
(1) . Adding classes in the first and the third category:
The process is as usual. Students may register for classes online.
(2). The second category (adding classes with a permission number):
It is recommended that the lecturer email a permission number to students and record the student number for future verification.
3. Adding or withdrawing classes in the third week of this semester:
The lecturer and the director may sign the application form in person or reply by email to the application form to indicate their approval of the request. Please combine the application form and the proof for approval into a single PDF and upload it to the Office of Academic Affairs. The website address for uploading the file will be announced separately.
4. Because online teaching is conducted during the first three weeks of this semester, if students want to add or attend the classes during the period, they need to contact the lecturer.
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Office of Academic Affairs
同時也有121部Youtube影片,追蹤數超過0的網紅Cate Food Travel 凱特食旅,也在其Youtube影片中提到,Grilled Eel(Unadon), Eel Cutting Skills / 夢幻鰻魚飯製作, 鰻魚切割技巧 - Taiwanese Food 👉 https://reurl.cc/OqE483 Hi, there! I'm Cate 😊 If you enjoy this video, pl...
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𝐀𝐥𝐥𝐨𝐰 𝐦𝐞 𝐭𝐨 𝐜𝐥𝐚𝐫𝐢𝐟𝐲
My intention of this post is not to humiliate, nor degrade anyone. But rather hopefully through this experience of mine, it can help highlight, remind, educate all of us . -#respectimagerights
Two nights ago, I got a dm from one of my Singapore fan asking if they are mis-using my photo. Let me just say that in my 15 years of being in the entertainment line, cases of misusing my picture, or any other celebrity’s picture has been countless. We continue to hope and pray that audience will not fall into trap.
The fan showed me a screenshot of a sponsored ad of a property agency, with my family portrait that I took with a photographer friend. The copy didn’t mention my name, but claim that it was another person. I cleared with my photographer friend, and he said he didn’t allow anyone to use the picture nor sold copyright to anyone, and even encouraged me to pursue legal action.
I immediately took the liberty to email the person, introducing myself with proof, and links to my Youtube Channel and FB page. Told him that I was notified of such case, highlighting the concern that his company that they were using my picture without copyright clearance, impersonating as another person with false information. And my main worry is that, people will fall into this false lie especially when Musang King Channel (our youtube channel) have a big portion of Singaporean fanbase.
And we waited.
The whole of next day, my DM was swarmed with messages from fans asking me about the same thing. But I thought I could give him some time.
When night came, I was informed that he was still running the ad, get this, with multiple version.
I thought it was getting out of hand.
I decided to post story out clarify that we never work with this agency and asked my fans to help remind him to check his email.
You can see part of his response below.
“It is indeed a true story we are using and not any scam, however, our client Shi Xian has yet to send us a picture of his family, so we randomly took a picture off the internet as a temporary picture to launch our campaign during our digital marketing class, we sincerely do not know that the people in the picture that we used are public figures. “
Basically he is saying his story is true, Shi Xian and Cheryl’s story is legit. But the legit couple who enjoyed their service haven’t given him the picture yet. So he “ngam ngam hou” use my picture temporarily because he has to launch his campaign. How he knew I was a public figure.
I got stunned.
The issue is not if I am a public figure or not.
Using someone else’s picture without approval or copyright clearance is not ok.
Regardless if you were caught or not.
Stealing is wrong. Period.
I wish you all the best.
Please know the severity of the issue.
I seriously hope that your company, and others will not repeat this ignorant mistake again.
Big thank you to all the fans, artist friends, media for supporting image rights and caring for my situation.
Hopefully we can use this to remind people around us to avoid scammers and from repeating the same mistake.
决定发这篇文章,目的不在于让谁难堪,更不是为了贬低任何人,而是希望通过我这次亲身经历给大家提醒 - #尊重并提高肖像权保护意识。
前两天收到新加坡粉丝的私讯,告知在一个新加坡房地产经纪公司的 FB Page 看到对方盗用了我的照片做广告,并发来了截图。
这篇广告盗用了一位摄影师好友为我们一家三口拍的家庭照 ,广告文案未提及我的名字,反而套上了另一个主人翁的故事做营销。
和摄影师好友确认过并无授权给对方使用照片后,我采取主动Email对方,附上我的身份证明并强调未经同意,盗窃别人肖像和身份进行商业用途是欺骗消费者的行为,广告文案也涉及误导性信息。
在等待的同时,广告依然进行中且已经引起更多新加坡粉丝的回应。于是我呼吁粉丝一起留言,让对方尽快查收我的Email。终于等到对方来信,部分回应如下:
“我们所提到的文案是真实服务过的客户案例,并不算诈骗,只是客户没来得及附上一家人的照片,我们就从网上随机下载了照片暂时使用应付广告上线,我们真的不知道抓到的照片这么巧是公众人物。”
我当下傻眼了!踩到我底线的是,除了盗用我和家人的照片作为商业用途外,难道不是公众人物的照片就能随便使用吗?盗窃他人肖像就是不OK!
虽然对方已经道歉和下架广告,还是希望通过我的这次经历,提醒大众:
(1) 无论你盗用的照片是艺人还是素人,盗用照片就已经是不对的事情 ,这侵犯到肖像权,属于违法行为
(2) 由于是公众人物的身份,大家看到广告后或许会更相信广告所讲的都是真的 ,相当于利用艺人背书 ,会让消费者更容易掉入商业圈套。网路行销当中有太多太多盗用照片或身份的诈骗案,大家一定要很小心、注意!做个精明消费者!
在此,谢谢帮我去发声还有给予意见的粉丝、朋友和艺人朋友。
希望大家互相提醒身边的人以免受骗或犯下同样的错误
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📜 [專欄新文章] Uniswap v3 Features Explained in Depth
✍️ 田少谷 Shao
📥 歡迎投稿: https://medium.com/taipei-ethereum-meetup #徵技術分享文 #使用心得 #教學文 #medium
Once again the game-changing DEX 🦄 👑
Image source: https://uniswap.org/blog/uniswap-v3/
Outline
0. Intro1. Uniswap & AMM recap2. Ticks 3. Concentrated liquidity4. Range orders: reversible limit orders5. Impacts of v36. Conclusion
0. Intro
The announcement of Uniswap v3 is no doubt one of the most exciting news in the DeFi place recently 🔥🔥🔥
While most have talked about the impact v3 can potentially bring on the market, seldom explain the delicate implementation techniques to realize all those amazing features, such as concentrated liquidity, limit-order-like range orders, etc.
Since I’ve covered Uniswap v1 & v2 (if you happen to know Mandarin, here are v1 & v2), there’s no reason for me to not cover v3 as well ✅
Thus, this article aims to guide readers through Uniswap v3, based on their official whitepaper and examples made on the announcement page. However, one needs not to be an engineer, as not many codes are involved, nor a math major, as the math involved is definitely taught in your high school, to fully understand the following content 😊😊😊
If you really make it through but still don’t get shxt, feedbacks are welcomed! 🙏
There should be another article focusing on the codebase, so stay tuned and let’s get started with some background noise!
1. Uniswap & AMM recap
Before diving in, we have to first recap the uniqueness of Uniswap and compare it to traditional order book exchanges.
Uniswap v1 & v2 are a kind of AMMs (automated market marker) that follow the constant product equation x * y = k, with x & y stand for the amount of two tokens X and Y in a pool and k as a constant.
Comparing to order book exchanges, AMMs, such as the previous versions of Uniswap, offer quite a distinct user experience:
AMMs have pricing functions that offer the price for the two tokens, which make their users always price takers, while users of order book exchanges can be both makers or takers.
Uniswap as well as most AMMs have infinite liquidity¹, while order book exchanges don’t. The liquidity of Uniswap v1 & v2 is provided throughout the price range [0,∞]².
Uniswap as well as most AMMs have price slippage³ and it’s due to the pricing function, while there isn’t always price slippage on order book exchanges as long as an order is fulfilled within one tick.
In an order book, each price (whether in green or red) is a tick. Image source: https://ftx.com/trade/BTC-PERP
¹ though the price gets worse over time; AMM of constant sum such as mStable does not have infinite liquidity
² the range is in fact [-∞,∞], while a price in most cases won’t be negative
³ AMM of constant sum does not have price slippage
2. Tick
The whole innovation of Uniswap v3 starts from ticks.
For those unfamiliar with what is a tick:
Source: https://www.investopedia.com/terms/t/tick.asp
By slicing the price range [0,∞] into numerous granular ticks, trading on v3 is highly similar to trading on order book exchanges, with only three differences:
The price range of each tick is predefined by the system instead of being proposed by users.
Trades that happen within a tick still follows the pricing function of the AMM, while the equation has to be updated once the price crosses the tick.
Orders can be executed with any price within the price range, instead of being fulfilled at the same one price on order book exchanges.
With the tick design, Uniswap v3 possesses most of the merits of both AMM and an order book exchange! 💯💯💯
So, how is the price range of a tick decided?
This question is actually somewhat related to the tick explanation above: the minimum tick size for stocks trading above 1$ is one cent.
The underlying meaning of a tick size traditionally being one cent is that one cent (1% of 1$) is the basis point of price changes between ticks, ex: 1.02 — 1.01 = 0.1.
Uniswap v3 employs a similar idea: compared to the previous/next price, the price change should always be 0.01% = 1 basis point.
However, notice the difference is that in the traditional basis point, the price change is defined with subtraction, while here in Uniswap it’s division.
This is how price ranges of ticks are decided⁴:
Image source: https://uniswap.org/whitepaper-v3.pdf
With the above equation, the tick/price range can be recorded in the index form [i, i+1], instead of some crazy numbers such as 1.0001¹⁰⁰ = 1.0100496621.
As each price is the multiplication of 1.0001 of the previous price, the price change is always 1.0001 — 1 = 0.0001 = 0.01%.
For example, when i=1, p(1) = 1.0001; when i=2, p(2) = 1.00020001.
p(2) / p(1) = 1.00020001 / 1.0001 = 1.0001
See the connection between the traditional basis point 1 cent (=1% of 1$) and Uniswap v3’s basis point 0.01%?
Image source: https://tenor.com/view/coin-master-cool-gif-19748052
But sir, are prices really granular enough? There are many shitcoins with prices less than 0.000001$. Will such prices be covered as well?
Price range: max & min
To know if an extremely small price is covered or not, we have to figure out the max & min price range of v3 by looking into the spec: there is a int24 tick state variable in UniswapV3Pool.sol.
Image source: https://uniswap.org/whitepaper-v3.pdf
The reason for a signed integer int instead of an uint is that negative power represents prices less than 1 but greater than 0.
24 bits can cover the range between 1.0001 ^ (2²³ — 1) and 1.0001 ^ -(2)²³. Even Google cannot calculate such numbers, so allow me to offer smaller values to have a rough idea of the whole price range:
1.0001 ^ (2¹⁸) = 242,214,459,604.341
1.0001 ^ -(2¹⁷) = 0.000002031888943
I think it’s safe to say that with a int24 the range can cover > 99.99% of the prices of all assets in the universe 👌
⁴ For implementation concern, however, a square root is added to both sides of the equation.
How about finding out which tick does a price belong to?
Tick index from price
The answer to this question is rather easy, as we know that p(i) = 1.0001^i, simply takes a log with base 1.0001 on both sides of the equation⁴:
Image source: https://www.codecogs.com/latex/eqneditor.php
Let’s try this out, say we wanna find out the tick index of 1000000.
Image source: https://ncalculators.com/number-conversion/log-logarithm-calculator.htm
Now, 1.0001¹³⁸¹⁶² = 999,998.678087146. Voila!
⁵ This formula is also slightly modified to fit the real implementation usage.
3. Concentrated liquidity
Now that we know how ticks and price ranges are decided, let’s talk about how orders are executed in a tick, what is concentrated liquidity and how it enables v3 to compete with stablecoin-specialized DEXs (decentralized exchange), such as Curve, by improving the capital efficiency.
Concentrated liquidity means LPs (liquidity providers) can provide liquidity to any price range/tick at their wish, which causes the liquidity to be imbalanced in ticks.
As each tick has a different liquidity depth, the corresponding pricing function x * y = k also won’t be the same!
Each tick has its own liquidity depth. Image source: https://uniswap.org/blog/uniswap-v3/
Mmm… examples are always helpful for abstract descriptions 😂
Say the original pricing function is 100(x) * 1000(y) = 100000(k), with the price of X token 1000 / 100 = 10 and we’re now in the price range [9.08, 11.08].
If the liquidity of the price range [11.08, 13.08] is the same as [9.08, 11.08], we don’t have to modify the pricing function if the price goes from 10 to 11.08, which is the boundary between two ticks.
The price of X is 1052.63 / 95 = 11.08 when the equation is 1052.63 * 95 = 100000.
However, if the liquidity of the price range [11.08, 13.08] is two times that of the current range [9.08, 11.08], balances of x and y should be doubled, which makes the equation become 2105.26 * 220 = 400000, which is (1052.63 * 2) * (110 * 2) = (100000 * 2 * 2).
We can observe the following two points from the above example:
Trades always follow the pricing function x * y = k, while once the price crosses the current price range/tick, the liquidity/equation has to be updated.
√(x * y) = √k = L is how we represent the liquidity, as I say the liquidity of x * y = 400000 is two times the liquidity of x * y = 100000, as √(400000 / 100000) = 2.
What’s more, compared to liquidity on v1 & v2 is always spread across [0,∞], liquidity on v3 can be concentrated within certain price ranges and thus results in higher capital efficiency from traders’ swapping fees!
Let’s say if I provide liquidity in the range [1200, 2800], the capital efficiency will then be 4.24x higher than v2 with the range [0,∞] 😮😮😮 There’s a capital efficiency comparison calculator, make sure to try it out!
Image source: https://uniswap.org/blog/uniswap-v3/
It’s worth noticing that the concept of concentrated liquidity was proposed and already implemented by Kyper, prior to Uniswap, which is called Automated Price Reserve in their case.⁵
⁶ Thanks to Yenwen Feng for the information.
4. Range orders: reversible limit orders
As explained in the above section, LPs of v3 can provide liquidity to any price range/tick at their wish. Depending on the current price and the targeted price range, there are three scenarios:
current price < the targeted price range
current price > the targeted price range
current price belongs to the targeted price range
The first two scenarios are called range orders. They have unique characteristics and are essentially fee-earning reversible limit orders, which will be explained later.
The last case is the exact same liquidity providing mechanism as the previous versions: LPs provide liquidity in both tokens of the same value (= amount * price).
There’s also an identical product to the case: grid trading, a very powerful investment tool for a time of consolidation. Dunno what’s grid trading? Check out Binance’s explanation on this, as this topic won’t be covered!
In fact, LPs of Uniswap v1 & v2 are grid trading with a range of [0,∞] and the entry price as the baseline.
Range orders
To understand range orders, we’d have to first revisit how price is discovered on Uniswap with the equation x * y = k, for x & y stand for the amount of two tokens X and Y and k as a constant.
The price of X compared to Y is y / x, which means how many Y one can get for 1 unit of X, and vice versa the price of Y compared to X is x / y.
For the price of X to go up, y has to increase and x decrease.
With this pricing mechanism in mind, it’s example time!
Say an LP plans to place liquidity in the price range [15.625, 17.313], higher than the current price of X 10, when 100(x) * 1000(y) = 100000(k).
The price of X is 1250 / 80 = 15.625 when the equation is 80 * 1250 = 100000.
The price of X is 1315.789 / 76 = 17.313 when the equation is 76 * 1315.789 = 100000.
If now the price of X reaches 15.625, the only way for the price of X to go even higher is to further increase y and decrease x, which means exchanging a certain amount of X for Y.
Thus, to provide liquidity in the range [15.625, 17.313], an LP needs only to prepare 80 — 76 = 4 of X. If the price exceeds 17.313, all 4 X of the LP is swapped into 1315.789 — 1250 = 65.798 Y, and then the LP has nothing more to do with the pool, as his/her liquidity is drained.
What if the price stays in the range? It’s exactly what LPs would love to see, as they can earn swapping fees for all transactions in the range! Also, the balance of X will swing between [76, 80] and the balance of Y between [1250, 1315.789].
This might not be obvious, but the example above shows an interesting insight: if the liquidity of one token is provided, only when the token becomes more valuable will it be exchanged for the less valuable one.
…wut? 🤔
Remember that if 4 X is provided within [15.625, 17.313], only when the price of X goes up from 15.625 to 17.313 is 4 X gradually swapped into Y, the less valuable one!
What if the price of X drops back immediately after reaching 17.313? As X becomes less valuable, others are going to exchange Y for X.
The below image illustrates the scenario of DAI/USDC pair with a price range of [1.001, 1.002] well: the pool is always composed entirely of one token on both sides of the tick, while in the middle 1.001499⁶ is of both tokens.
Image source: https://uniswap.org/blog/uniswap-v3/
Similarly, to provide liquidity in a price range < current price, an LP has to prepare a certain amount of Y for others to exchange Y for X within the range.
To wrap up such an interesting feature, we know that:
Only one token is required for range orders.
Only when the current price is within the range of the range order can LP earn trading fees. This is the main reason why most people believe LPs of v3 have to monitor the price more actively to maximize their income, which also means that LPs of v3 have become arbitrageurs 🤯
I will be discussing more the impacts of v3 in 5. Impacts of v3.
⁷ 1.001499988 = √(1.0001 * 1.0002) is the geometric mean of 1.0001 and 1.0002. The implication is that the geometric mean of two prices is the average execution price within the range of the two prices.
Reversible limit orders
As the example in the last section demonstrates, if there is 4 X in range [15.625, 17.313], the 4 X will be completely converted into 65.798 Y when the price goes over 17.313.
We all know that a price can stay in a wide range such as [10, 11] for quite some time, while it’s unlikely so in a narrow range such as [15.625, 15.626].
Thus, if an LP provides liquidity in [15.625, 15.626], we can expect that once the price of X goes over 15.625 and immediately also 15.626, and does not drop back, all X are then forever converted into Y.
The concept of having a targeted price and the order will be executed after the price is crossed is exactly the concept of limit orders! The only difference is that if the range of a range order is not narrow enough, it’s highly possible that the conversion of tokens will be reverted once the price falls back to the range.
As price ranges follow the equation p(i) = 1.0001 ^ i, the range can be quite narrow and a range order can thus effectively serve as a limit order:
When i = 27490, 1.0001²⁷⁴⁹⁰ = 15.6248.⁸
When i = 27491, 1.0001²⁷⁴⁹¹ = 15.6264.⁸
A range of 0.0016 is not THAT narrow but can certainly satisfy most limit order use cases!
⁸ As mentioned previously in note #4, there is a square root in the equation of the price and index, thus the numbers here are for explantion only.
5. Impacts of v3
Higher capital efficiency, LPs become arbitrageurs… as v3 has made tons of radical changes, I’d like to summarize my personal takes of the impacts of v3:
Higher capital efficiency makes one of the most frequently considered indices in DeFi: TVL, total value locked, becomes less meaningful, as 1$ on Uniswap v3 might have the same effect as 100$ or even 2000$ on v2.
The ease of spot exchanging between spot exchanges used to be a huge advantage of spot markets over derivative markets. As LPs will take up the role of arbitrageurs and arbitraging is more likely to happen on v3 itself other than between DEXs, this gap is narrowed … to what extent? No idea though.
LP strategies and the aggregation of NFT of Uniswap v3 liquidity token are becoming the blue ocean for new DeFi startups: see Visor and Lixir. In fact, this might be the turning point for both DeFi and NFT: the two main reasons of blockchain going mainstream now come to the alignment of interest: solving the $$ problem 😏😏😏
In the right venue, which means a place where transaction fees are low enough, such as Optimism, we might see Algo trading firms coming in to share the market of designing LP strategies on Uniswap v3, as I believe Algo trading is way stronger than on-chain strategies or DAO voting to add liquidity that sort of thing.
After reading this article by Parsec.finance: The Dex to Rule Them All, I cannot help but wonder: maybe there is going to be centralized crypto exchanges adopting v3’s approach. The reason is that since orders of LPs in the same tick are executed pro-rata, the endless front-running speeding-competition issue in the Algo trading world, to some degree, is… solved? 🤔
Anyway, personal opinions can be biased and seriously wrong 🙈 I’m merely throwing out a sprat to catch a whale. Having a different voice? Leave your comment down below!
6. Conclusion
That was kinda tough, isn’t it? Glad you make it through here 🥂🥂🥂
There are actually many more details and also a huge section of Oracle yet to be covered. However, since this article is more about features and targeting normal DeFi users, I’ll leave those to the next one; hope there is one 😅
If you have any doubt or find any mistake, please feel free to reach out to me and I’d try to reply AFAP!
Stay tuned and in the meantime let’s wait and see how Uniswap v3 is again pioneering the innovation of DeFi 🌟
Uniswap v3 Features Explained in Depth was originally published in Taipei Ethereum Meetup on Medium, where people are continuing the conversation by highlighting and responding to this story.
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