In 2017, FUJIFILM launched the first medium format camera - GFX50S, and finally launched GFX50S II today after 4 years waiting. Although the second generation is used along the same 50MP Sensor, it is replaced by the GFX100S body design. The T125 is replaced with a new battery W235, and the power is multiplied; also used the same X-Processor 4 like GFX100S too, so that made the system is integrated; With the new design of GFX100S 5-axis 6 stops IBIS, equipped with specific lenses, the stabilisation can go up to 6.5 stops.
Once I was a user of the GFX50S, I was introduced to the X-Photographer team when GFX series was launched, . The impression of this machine is particularly profound. In the past week of using the prototype GFX50Sii, i have a little experiences would like to share.
The picture quality of this machine is absolutely unquestionable, although there is no 100S BSI Sensor focusing system that fast, but it is clearly improved with the first generation 50S focus system, especially in low light environment. The eye's focus sensitivity is also more than whole GFX50 series, there is no high speed and slow continuous shooting but 3shots pre second, and the picture is as detailed with the GFX50S.
The Dynamic Range of GFX50S II only have 12stops (GFX100S 14stops), RAW file is only 14-bit (GFX100S Up to 16-bit), but it is actually very sufficient for general users. Since 50S II has an IBIS system, the Pixel Shift function is retained, and can merge up to 200MP image, which is suitable for products, landscapes, and architecture photograph.
Due to the previous generation of sensor, the filming system can only reach 1080p 30fps, there is no 4K shooting. If you want to do video with this camera, you should consider it.
The price will be cheaper than GFX50R when it first released, I believe it will become the most attractive "entry" medium format camera in the market!
JPG file editied with Capture One Pro 21
Lighting by Profoto B10 LED with OCF Gel kit
Fujifilm UK & Ireland Fujifilm Global Fujifilm X Series US FUJIFILM Hong Kong Fujifilm X Singapore FUJIFILM Malaysia Fujifilm Philippines Fujifilm Danmark FUJIFILM X WORLD
同時也有18部Youtube影片,追蹤數超過2萬的網紅Chelsea Chiang 雀兒,也在其Youtube影片中提到,♡ Instagram : https://www.instagram.com/chelsea.chiang 🌟S u B s C r I b E ! 訂閱我的頻道 👉https://goo.gl/XXnKD1 4道低卡美味的超簡單健康甜點食譜,200卡內,姨媽來時的療癒甜點❤️4 EASY HE...
「low market share」的推薦目錄:
- 關於low market share 在 KEN.L PHOTOGRAPHY Facebook 的最讚貼文
- 關於low market share 在 Taipei Ethereum Meetup Facebook 的最讚貼文
- 關於low market share 在 AppWorks Facebook 的精選貼文
- 關於low market share 在 Chelsea Chiang 雀兒 Youtube 的最讚貼文
- 關於low market share 在 Joanna Soh Official Youtube 的精選貼文
- 關於low market share 在 Dan Lok Youtube 的最讚貼文
low market share 在 Taipei Ethereum Meetup Facebook 的最讚貼文
📜 [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
low market share 在 AppWorks Facebook 的精選貼文
In the startup space, it’s easy to get caught up with fancy terms like network effects and machine learning. But there are ways to build a great business outside of “tech” and without these competitive advantages.
There are plenty of product plays outside of the “high tech” arena with opportunities for disruption and innovation. Great companies have come into existence based only on a new take on some widget. Many observers at the outset would not have identified these as future moneymakers who terrify incumbents and competitors, as it seems nothing is stopping a copycat from entering the market, stealing share, and driving margins down.
As these companies grow bigger, scale advantages start to kick in. Inputs from suppliers become cheaper, and in many cases sales are able to fund better R&D which lead to more cost advantages and better products. Copycats can’t seem to get the price as low as the now-market leader, although the technology is available in the market and the pieces are there. The copycat with higher prices doesn’t live for very long, and the leader’s lead continues to widen.
When such a company sets its sights on another market, how well does this advantage travel? For a company in a space with high R&D costs which are the primary source of a large barrier to entry, this advantage travels quite well, and the company might have less trouble expanding to a new market, as long as local competitors are sufficiently behind on the R&D front.
For other companies where the primary cost advantage is extracted from a large scale of physical manufacturing, it might be a different story. Due to taxes, shipping costs, and local regulations, the landed cost in the new market could totally wipe out any cost advantage, making the price indistinguishable from local copycats or competitors. One may have an idea to localize production to get around such costs, but the advantage doesn’t travel if local manufacturers and suppliers want to be compensated for small order quantities.
When expanding to a new market, startups with a manufacturing or R&D component should carefully consider whether expansion makes sense over continuing to focus on dominating their home market. Companies should identify the source and nature of their advantage, double down on it, and be wary of distractions taking them to foreign places where their advantage doesn’t play.
This is part 3 of the series “How well does your competitive advantage travel?”
low market share 在 Chelsea Chiang 雀兒 Youtube 的最讚貼文
♡ Instagram : https://www.instagram.com/chelsea.chiang
🌟S u B s C r I b E ! 訂閱我的頻道 👉https://goo.gl/XXnKD1
4道低卡美味的超簡單健康甜點食譜,200卡內,姨媽來時的療癒甜點❤️4 EASY HEALTHY DESSERTS! under 200kcal
【補充】
🔸第一道食譜香蕉燕麥可可布朗尼,漏剪輯了15克的燕麥粉,記得製作時候要補進去噢~也可以將中筋麵粉換成燕麥粉。
🔸熱量更正:黑糖薑汁撞奶使用的是低脂鮮奶所以熱量是185kcal,其實全脂或低脂都可以!熱量稍有差異
哈囉我是Chelsea!
好多朋友跟我說
有時候經期來很想吃甜點又怕胖
或是正在減重很饞甜食
今天要跟大家分享四款我很喜歡的
簡單美味的減脂低卡甜點食譜~有三道是純素者也可以吃的歐!
每道都是我的最愛
分享給也愛吃甜品的你
減脂路上路迢迢
吃瘦不餓瘦~
健康不必捨棄美食^^
做法超簡單你一定要試試看
如果喜歡我的影片也別忘了訂閱、按讚+分享
期待分享更多健康美味的食譜給你們^^
1、香蕉燕麥可可布朗尼 0:38
Banana Brownie (5 servings)
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Recipe:
2 banana( 300g)
1tbsp raw cacao powder
almond flour 30g
15g all-purpose flour
15g oatmeal powder
60ml almond milk
sea salt
some almond and walnut
食譜
2根香蕉約300g
15g生可可粉
30g杏仁粉
15g 麵粉(可換成燕麥粉)
15g 燕麥粉
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一些你喜歡的堅果
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Hey guys! I'm Chelsea, Welcome to my channel! I love sharing and creating things here on YouTube, I love cooking, beauty, fitness, Music, art, and healthy lifestyle :)
today i'm going to share with you my favorite 4 healthy and low-cal desserts recipe!
they all taste amazing ! and super easy to make
You guys are gonna want to save this one!
Be sure to subscribe if you like my videos! If you have anymore questions feel free to leave a comment below! See you in my next video Xx - Chelsea
background music by: @LuKremBo
#健康甜點#easyrecipes #healthyrecipes #dessertrecipes #lowcal#flexibledieting #iifym #macrofriendly #proteindessert #電鍋 #低卡甜點 #氣炸鍋 #自煮防疫
low market share 在 Joanna Soh Official Youtube 的精選貼文
Download my Fitness App here: https://www.fiolife.com/ SUBSCRIBE: http://bit.ly/SUBJoannaSoh | Follow my IG: https://instagram.com/joannasohofficial/
This is a passion project which I've worked on for the past month as I really wanted to dive deep and share with everyone the impact of Covid-19 on the health & fitness industry. It has been incredible to interview all the individuals in the fitness industry in sharing their own personal experiences. I hope you'll enjoy this short documentary and gain some insights. =)
However 2021 is going to be, let's promise each other that we'll prioritise our health, both physically and mentally and start the year strong! SHARE your thoughts with me below, tag me @JoannaSohOfficial #Covid19 #Covid19onFitness #JoannaSoh
________________
People in the video & where you can find them:
Raul Tapia - CEO, Maverix
https://www.maverix.asia/
Tracy Minnoch - Co-Founder, Fire Fitness
https://firefitness.com.my/
https://www.instagram.com/tracyminnoch/
Samuel Canavan - Managing Director Asia-Pacific, ClassPass
https://classpass.com/
Aiman Asmawar - Founder, Oxygen Cycle
https://oxygenkl.com/
https://www.instagram.com/aimanasmawar/
Dennis Yin - Owner, House of Champions
https://www.instagram.com/houseofchampionsmy/
https://www.instagram.com/dennisyin/
Kevin Zahri - Fitness Personality, Educator & Author
https://www.instagram.com/kevinzahri/
Carlos Villa - Owner, Union Strength
https://union-strength.com/
https://www.instagram.com/cvilla16/
Linora Low - Coach, Wellness Personality & Content Creator
http://www.linoralow.com
https://www.youTube.com/linoralow
Marco Velazquez - Fitness Trainer
https://www.instagram.com/marcovelazquezd/
Marissa Parry - Parent & Owner of Casa Do Capoeira
https://www.instagram.com/movimentosimples/
https://www.instagram.com/marissafit4life/
Sophie Ira - Fio App Subscriber
Yuli Salgado - Marco’s Online Client
Peter & Helen Weiss - Marco’s Online Clients
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I'm a certified Personal Trainer (ACE), Women’s Fitness Specialist (NASM) and Nutrition Coach, with over 10 years of experience.
Stay connected and follow me:
Joanna Soh:
http://joannasoh.com/
https://www.instagram.com/joannasohofficial/
https://www.facebook.com/joannasohofficial/
https://www.youtube.com/user/joannasohofficial
https://twitter.com/Joanna_Soh
(Subscribe to my website for printable workouts & recipes)
My Fitness App
https://www.instagram.com/fio.app
https://www.facebook.com/fioapp
________________
Resources:
https://www.theptdc.com/personal-trainer-salary-survey
https://www.weforum.org/agenda/2020/09/fitness-apps-gym-health-downloads/
https://www.prnewswire.com/news-releases/onlinevirtual-fitness-market-to-reach-59-23-billion-globally-by-2027-at-33-1-cagr-allied-market-research-301111676.html
https://www.theguardian.com/world/2020/feb/27/australia-declares-coronavirus-will-become-a-pandemic-as-it-extends-china-travel-ban
https://time.com/5791661/who-coronavirus-pandemic-declaration/
https://www.bbc.com/news/world-51839944
https://www.rubcorp.com/future-of-fitness-industry-post-covid19-pandemic-infographic/
https://finance.yahoo.com/news/coroanvirus-class-pass-lays-off-50-of-employees-203636471.html?guccounter=1&guce_referrer=aHR0cHM6Ly93d3cuZ29vZ2xlLmNvbS8&guce_referrer_sig=AQAAAENIU7FMrxrDErFUXUU1XxM3ZEIeFT3s7Tooxq_fVIUBqHa68qGOoVGHD43kOnh0hebNSFJg7V9hTwxGP9auh6simRK1y4N3Sxpz5KPt1k-m1XOBfTAQ5qM0TkoAEaxKX9jBc0vKLlp5epU7Hcq4vFe7BxnKx79gMnHn3ahJXxGN
low market share 在 Dan Lok Youtube 的最讚貼文
The Marketplace Is Constantly Changing. To Adapt, You Need To Master A High-Income Skill That Will Make You Money. Get Started With The Free Training Today: https://masteraskill.danlok.link
To stand out in today’s market, companies have to offer low ticket offers as well as high ticket offers. And you can be the one to help them to sell those special, high ticket offers. All you need is to master a high-income skill that will help you make money. Got something out of this video? Share it with a friend.
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0:00 - Intro
0:55 - High Ticket Offers
2:30 - How To Make An Incredible Income Online From Home
3:10 - High Ticket Closing Definition
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Your results are dependent on many factors… including but not limited to your ability to work hard, commit yourself, and do whatever it takes.
Entering any business is going to involve a level of risk as well as massive commitment and action. If you're not willing to accept that, please DO NOT WATCH DAN’S VIDEOS OR SIGN UP FOR ONE OF HIS PROGRAMS.
This video is about How To Master A High-Income Skill That Will Make You Money.
https://youtu.be/wQFLZ1_aEoM
https://youtu.be/wQFLZ1_aEoM
low market share 在 Market Share Definition - Investopedia 的相關結果
Market share represents the percentage of an industry, or a market's total sales, that is earned by a particular company over a specified time period. · Market ... ... <看更多>
low market share 在 Strategies for Low Market Share Businesses 的相關結果
Although there are numerous ways to define successful performance and low market share, we have chosen two straightforward definitions. Low market share is less ... ... <看更多>