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#台北 #台北景點 #龍洞 #潛水 #taipei #diving

好想ㄑ海邊玩，但可以氣溫25度以下，然後不要有紫外線嗎🏜

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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.

👏 歡迎轉載分享鼓掌

#蘭嶼 #自潛 #自由潛水 #台灣旅遊
Freediving in Lanyu.
Lanyu is an island in southeastern coast of Taiwan.
First time I traveled alone in Taiwan.
I spent two days there although it was quite windy.
Fortunately, I met some really nice dive buddies and had a great time there.
Let's check how beautiful is this Island.
－
一個人去蘭嶼
因自由潛水而認識了很多熱愛潛水的朋友們
大家人都超好的😭
沒有他們我的蘭嶼行一定很無聊
兩天一夜的蘭嶼就潛了四次
海面上風超級大
海面下無底平靜
蘭嶼的海好清 風好大
騎摩托車好幾度都要被風吹走
搭船就像大怒神+海盜船（如影片）
比搭飛機可怕
沒在開玩笑
－
本次潛伴神攝手之一也有youtube
他的頻道「小Su日記」：https://reurl.cc/d5Rky6
－

Follow me:
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Anchor: https://anchor.fm/kuanineurope


荷蘭最新Outlet開箱

https://youtu.be/lCj8N4fK_Y8

人生第一次的比基尼高空彈跳

https://youtu.be/Ujh1FMtL3_M

荷蘭必吃的六道美食

https://youtu.be/zVlm-nxZsUo


你不知道的國家，他卻在乎你

https://youtu.be/Hkv83rPs6_U

阿官在台灣：

全台北最難爬的山｜The hardest mountain to climb in Taipei

https://youtu.be/xjLl5ejjZg4

疫情期間如何買機票

https://youtu.be/btkCpuGUlIg

歐洲返台實錄

https://youtu.be/6mXyvW2H3ho

居家檢疫關懷包開箱

https://youtu.be/t2tBugTgHF0


一秒從波蘭到斯洛伐克的雪中健行

https://youtu.be/jgMWspbOi5A

全歐洲最大最新最刺激的室內水上樂園在波蘭？

https://youtu.be/NynzoOj5W44

全世界最大的室內水上樂園在德國？

https://youtu.be/BYlqp_7mJhc

和阿官一起當歐洲農婦：

Drawing Easter Eggs｜歐洲人都如何畫蛋(eng)

https://youtu.be/0XCx9JLEwPk

和阿官一起健身減肥：

減脂減肥｜我的減肥歷程｜健身重訓｜如何有效減重？靠這四大點！？

https://www.youtube.com/watch?v=pL7lFIt2O_0&t=91s

Low Calorie Macaron｜低卡食譜｜製作低糖馬卡龍

https://youtu.be/gisiqVyw4oI

----------------------------------------------------------------------------------------------

和阿官一起玩台灣：

Drinking Marathon in Taiwan　在家鄉酒精路跑

https://youtu.be/r3Lz3jxDETs


----------------------------------------------------------------------------------------------
越南攻略：

去越南前你必須知道的五件事

https://youtu.be/xdBvQM7zkKc
----------------------------------------------------------------------------------------------
歐洲知多少：

關於荷蘭六件你不知道的事

https://youtu.be/B_jUvgjB4As

更多旅遊Vlog：

比利時

比利時布魯塞爾半日遊｜寄放行李｜必喝啤酒｜必吃美食

https://youtu.be/TyfcgK31aaI

馬爾他

一起來去馬爾他Blue Grotto藍洞Mdina姆迪納貓村一日遊！

https://youtu.be/9f0OFOh8_uM

一起來去馬爾他valletta瓦萊塔一日遊！

https://www.youtube.com/watch?v=FnA9dN9Efa8&t=198s

一起來去馬爾他Comino島一日遊！

https://www.youtube.com/watch?v=OwAZyl3od9o&t=37s

----------------------------------------------------------------------------------------------

泰國

華欣租車這麼便宜？

https://www.youtube.com/watch?v=tK1i4189Tx0&t=12s

在泰國騎車很可怕？

https://www.youtube.com/watch?v=arSbvKH2Td8&t=250s

在泰國當大象志工

https://www.youtube.com/watch?v=7hzIexywOYo&t=51s

在泰國一個人亂晃危險嗎？

https://www.youtube.com/watch?v=2iFs2SUXC8w&t=66s

----------------------------------------------------------------------------------------------

西班牙、葡萄牙：

跟我一起遊巴塞隆納！

https://www.youtube.com/watch?v=2pWS9ZsISZc&t=39s

跟著我一日走完里斯本重要景點！

https://www.youtube.com/watch?v=wiVTR0taAxc&t=3s

跟著我一起來去辛特拉一日遊！

https://www.youtube.com/watch?v=1-8YrPkiJX4

#台灣 #巴陵橋 #復興鄉 #桃園 #高空彈跳

Bungee Jumping has always been one of my bucket list.
I wanted to do it during my 30y birthday.
Somehow I completed it in advance.😎
-
（影片噪音警告⚠️）
（the sounds alarm 🚨)
高空彈跳一直是我人生清單之一
意外在臉書上面發現有比基尼免費高空彈跳的活動
想說穿比基尼對我來說根本沒什麼XD
這麼難得的機會(在國外跳少說也要幾千到萬)
馬上手刀報名，幸好有被我看到，因為快要截止
果真我是最後一個報名的XD
-
騎了2個小時的機車從新北市到桃園復興鄉
一個半小時都在跑山路
想到年少輕狂時也常跟朋友們去跑山
也太熱血了吧?來回四小時我也騎?瘋了瘋了😵
-
其實當下想要第一個跳
非常平靜也沒有緊張感
直到上去跳台的時候恐懼才出現
想著 我在幹嘛? 我幹嘛來?😩
-
最刺激的是跳下去的時候然後莫名其妙被拉上來
就開始盪鞦韆了
-
很多時候恐懼在你猶豫時分來襲
其實只要別想太多
直接跨出那一步
你會發現自己其實可以辦到很多事情
-
很開心可以認識好多比基尼辣妹
大家都很棒
原本想說以後等30歲生日來完成這項清單
想不到提早發生了
那我30歲的生日到底要給自己什麼呢?

高空彈跳請找
https://www.facebook.com/pro.bungy

上電視的影片請至台灣第一等 八大電視頻道觀看:
https://www.youtube.com/watch?v=9-jqv39sWu4&t=2248s

Follow me:
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荷蘭必吃的六道美食

https://youtu.be/zVlm-nxZsUo


你不知道的國家，他卻在乎你

https://youtu.be/Hkv83rPs6_U

阿官在台灣：

全台北最難爬的山｜The hardest mountain to climb in Taipei

https://youtu.be/xjLl5ejjZg4

疫情期間如何買機票

https://youtu.be/btkCpuGUlIg

歐洲返台實錄

https://youtu.be/6mXyvW2H3ho

居家檢疫關懷包開箱

https://youtu.be/t2tBugTgHF0


一秒從波蘭到斯洛伐克的雪中健行

https://youtu.be/jgMWspbOi5A

全歐洲最大最新最刺激的室內水上樂園在波蘭？

https://youtu.be/NynzoOj5W44

全世界最大的室內水上樂園在德國？

https://youtu.be/BYlqp_7mJhc

和阿官一起當歐洲農婦：

Drawing Easter Eggs｜歐洲人都如何畫蛋(eng)

https://youtu.be/0XCx9JLEwPk

和阿官一起健身減肥：

減脂減肥｜我的減肥歷程｜健身重訓｜如何有效減重？靠這四大點！？

https://www.youtube.com/watch?v=pL7lFIt2O_0&t=91s

Low Calorie Macaron｜低卡食譜｜製作低糖馬卡龍

https://youtu.be/gisiqVyw4oI

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和阿官一起玩台灣：

Drinking Marathon in Taiwan　在家鄉酒精路跑

https://youtu.be/r3Lz3jxDETs


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越南攻略：

去越南前你必須知道的五件事

https://youtu.be/xdBvQM7zkKc
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歐洲知多少：

關於荷蘭六件你不知道的事

https://youtu.be/B_jUvgjB4As

更多旅遊Vlog：

比利時

比利時布魯塞爾半日遊｜寄放行李｜必喝啤酒｜必吃美食

https://youtu.be/TyfcgK31aaI

馬爾他

一起來去馬爾他Blue Grotto藍洞Mdina姆迪納貓村一日遊！

https://youtu.be/9f0OFOh8_uM

一起來去馬爾他valletta瓦萊塔一日遊！

https://www.youtube.com/watch?v=FnA9dN9Efa8&t=198s

一起來去馬爾他Comino島一日遊！

https://www.youtube.com/watch?v=OwAZyl3od9o&t=37s

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泰國

華欣租車這麼便宜？

https://www.youtube.com/watch?v=tK1i4189Tx0&t=12s

在泰國騎車很可怕？

https://www.youtube.com/watch?v=arSbvKH2Td8&t=250s

在泰國當大象志工

https://www.youtube.com/watch?v=7hzIexywOYo&t=51s

在泰國一個人亂晃危險嗎？

https://www.youtube.com/watch?v=2iFs2SUXC8w&t=66s

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西班牙、葡萄牙：

跟我一起遊巴塞隆納！

https://www.youtube.com/watch?v=2pWS9ZsISZc&t=39s

跟著我一日走完里斯本重要景點！

https://www.youtube.com/watch?v=wiVTR0taAxc&t=3s

跟著我一起來去辛特拉一日遊！

https://www.youtube.com/watch?v=1-8YrPkiJX4

@HOOK and I go to Xiaqigu Hot Spring and Visit Yangmingshan Volcano

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一直喜歡戶外的我, 開著自己的改裝車 橫衝直撞找秘境
在溫泉 瀑布中 釋放自己 完全回歸自然！

從尋尋覓覓 完成地圖 改裝車子
我也親身測試體驗 更適合戶外的各項穿備
通過小飛測試的聯名好物 上架嘍
小飛 /A-myzone 聯名品牌專業機能服
給依樣 愛戶外 愛運動 的你們～
要溯溪游泳嚕石壁 耐磨抗水阻的水母衣 ？
曝曬爆汗 無法換洗 也不易發臭還抗菌 ？
跟著小飛完 ～ 跟著小飛穿～

小飛的溯溪水母衣 （我最愛的一件） ：https://a-myzone.com/product/detail/?d=237
小飛的Hiking多功能上衣 : https://a-myzone.com/product/detail/?d=240

小飛的上山下海溯溪水陸雙棲壓力褲（我最常穿的）
無痕速乾版 : https://a-myzone.com/product/detail/?d=245
護膝迷彩版 ：https://a-myzone.com/product/detail/?d=247

小飛的輕便水陸兩棲短褲 https://a-myzone.com/product/detail/?d=249
小飛的舒適登山露營外搭褲（我穿過最舒適的） https://a-myzone.com/product/detail/?d=247

＃小飛 #野溪溫泉 #探險台灣

跟著小飛玩
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