ᕼOTTEST SiᑎᑕE 1884
That was last year, with an average temperature of 29.6°C
Just yesterday we had a high of 34°C... CRAZY HOT!!!
So if you're out and about pls drink lots of water and hide away from the sun to avoid heatstroke.
ALSO, wear something cool (both in terms or temperature and fashion) on your wrist, like my TISSOT PRX watch!
Well, you'll need to have rough idea of how much vitamin E you've soaked up, you don't wanna get sunburnt.
#JasonsCollection
#HottestSummer
#VitaminE
#Quartz
#70s #80s
Tissot #TissotPRX
#My1978TissotMoment
同時也有15部Youtube影片,追蹤數超過12萬的網紅ClumsyCynthia 黃可樂,也在其Youtube影片中提到,好久沒有拍一週工作VLOG了 其實這週發生了蠻多事情的 我的rough clip大概有快三小時xd 影片中提及的Lingoda衝刺班 ⇢ https://bit.ly/CynthiaSprint *super sprint:三個月內完成每月30堂課,就可以拿到100%的全額退款 *普通的spri...
「rough idea」的推薦目錄:
- 關於rough idea 在 Jason Chan 陳智燊 Facebook 的最讚貼文
- 關於rough idea 在 Facebook 的最讚貼文
- 關於rough idea 在 Taipei Ethereum Meetup Facebook 的最佳解答
- 關於rough idea 在 ClumsyCynthia 黃可樂 Youtube 的精選貼文
- 關於rough idea 在 Vegan Expression Youtube 的最佳解答
- 關於rough idea 在 Mateusz Urbanowicz Youtube 的最佳解答
- 關於rough idea 在 rough idea中文的評價和優惠,YOUTUBE和商品老實說的推薦 的評價
- 關於rough idea 在 Rough Idea - Home | Facebook 的評價
- 關於rough idea 在 Rough idea tell me wat u think | Female sketch ... - Pinterest 的評價
- 關於rough idea 在 DIIV - "Dust" rough idea demo in the practice space - YouTube 的評價
rough idea 在 Facebook 的最讚貼文
前兩天新聞報出GFRIEND解散了
覺得很不捨,很可惜
接下來可能看不到她們充滿力道、整齊劃一的舞步了
2017年她們來台灣表演時
製作人薛哥和《超級巨星紅白藝能大賞》的製作團隊想到了這個idea
笑著問我要不要變成GFRIEND的第七位成員
跟她們在舞台上來一段互動?
那時我早已在網上看過她們超強的表演
當然不會放過加入她們的機會啊!
但答應之後苦差事馬上就來了
我只有兩堂舞蹈課的時間
要把她們超人氣單曲《Rough》學起來
學習的過程果然就是⋯有夠Rough!
我記得上舞台的前一天
睡在床上的我還夢到我在練舞😅
半夢半醒之間發現自己真的還在跳😂
後來真正上台時也只是跳了幾個八拍
但大家都覺得好好玩呢~
我想說的是
我喜歡那些一看就知道
花了很多時間設計,苦心準備
在嚴格的要求下所堆砌出來的表演
真的很吸引人
Very inspiring!💡
Inspire的解釋是:
“to make someone feel that they want to do something and can do it”
「讓人想要去做一件事並且能夠做到」
真的是這樣啊!我就真的去成為第七個成員啦😆
誠心的祝福她們在未來的演藝事業上各自都能有更好的發展
因為她們真的值得!
對了!大家知道⋯第七位成員叫什麼名字嗎?
#gfriend
#gfriendrough
#Gfriendoffical
#超級巨星紅白藝能大賞
rough idea 在 Taipei Ethereum Meetup Facebook 的最佳解答
📜 [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.
👏 歡迎轉載分享鼓掌
rough idea 在 ClumsyCynthia 黃可樂 Youtube 的精選貼文
好久沒有拍一週工作VLOG了
其實這週發生了蠻多事情的 我的rough clip大概有快三小時xd
影片中提及的Lingoda衝刺班 ⇢ https://bit.ly/CynthiaSprint
*super sprint:三個月內完成每月30堂課,就可以拿到100%的全額退款
*普通的sprint:三個月內完成每月15堂課,就可以拿回50%的退款
除了英文之外,還可以有Spainish/French/German可以選擇喔
這個專案的截止日期是2020年6月15日,名額有限
如果想在這個暑假給自己一點挑戰的朋友趕快去報名囉!
另外可以用我的折扣碼CLASS91,就可以減免10歐元的deposit喔 (deposit = 49 EURO)
快來看看吧⇢ https://bit.ly/CynthiaSprint
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▼ 關於我 | About Me
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» Music used:
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rough idea 在 Vegan Expression Youtube 的最佳解答
(chinese below)
Valentine's Day is coming, have you prepared a present for your beloved? Of course, gifts can't represent everything. In many cases, company is more important (especially long distance)! However, if you can receive an thoughtful and unique gift, it’s not a bad idea ~
When I was in high school, I've already loved to handmade gifts. Many friends should have received small gifts made by me. Although the handwork may be a bit rough, I mainly want to convey my care to you! Ever since I went to Kyoto and learnt about the "Mbira", I have fallen in love with it. The small body is naturally simple and the sound is beautiful, and you don't have to be a musician to play, because it is very simple to learn!
Gifts don't have to be expensive, maybe hand-made gifts can better express your sincerity; gifts don't have to be given on a specific day, maybe a small surprise on the usual small day, it makes s/he feels warmer and sweeter ~
Besides, after finishing the mbira diy that day, I became a friend with my mentor, and from time to time we will go out to look for vegan food together
PS There have been too many unpleasant things happened in the world recently. Maybe you can simply write a small card to encourage your loved ones, friends, and even anyone in the society you want to care about ~
情人節快到了,你準備好禮物送給你的另一半了嗎?當然禮物不能代表一切,很多時候陪伴更來得重要 (特別是遠距離)!但是,如果能收到一份別出心裁的禮物,也不錯啊~
讀書時期,我就很愛動手做手作,應該不少朋友有收過我親手做的小禮物,雖說手工可能粗糙了一點,但主要想要把我的小心意傳達給你們!自從某次去了京都,認識到「拇指琴」,我就愛上了。小小的琴身,自然簡約,聲音清脆,而且你不一定要是音樂人,也可以彈,因為它很簡單,很快就可以上手!
禮物不一定要挑貴的,或許手作禮物更能表達你的真誠;禮物也不一定要在特定的日子才送,或許在平常的小日子裡來個小驚喜,更讓人覺得溫暖~
題外話,當天做完拇指琴,我跟導師成了朋友,不時會相約去吃素,意外收穫啊
PS 最近世界上發生了太多不如意的事情,或許可以簡單地寫張小卡片,鼓勵下你的親人、愛人、朋友,甚至社會上任何一個你想關心的人~
:: FOLLOW VEGAN EXPRESSION ON ::
Youtube/ https://www.youtube.com/veganexpression
Facebook / https://www.facebook.com/veganexpressionhk/
Instagram / https://www.instagram.com/vegan_expression/
Website / http://vegan-expression.com/
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rough idea 在 Mateusz Urbanowicz Youtube 的最佳解答
Painting another illustration I did for the Kobe Chocolate commission some time ago and talking about my process of getting from a rough idea sketch to the final image.
Read more on my website: https://mateuszurbanowicz.com/thumbs/kobe_chocola/
See the official website (in Japanese):
https://cp.glico.jp/kobe2019/
Tools:
- concept sketches: Procreate and iPad PRO
- sketch: pencil
- lines: Glass pen and Kobe Ink
- colors: Kobe Inks
- paper: Holbein Waterford 300g cold press watercolor paper
Feel free to check out my other stuff:
Gumroad: https://gumroad.com/mateusz_urbanowicz
Patreon: https://www.patreon.com/mateuszurbanowicz
Website: http://mateuszurbanowicz.com
Blog: http://mattjabbar.tumblr.com
Twitter: https://twitter.com/gommatt
Instagram: https://www.instagram.com/mateusz_urbanowicz
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