關於 how to love pdf ，我們在網路上蒐集到這些相關的討論、資訊與評價

#IELTSSPEAKING PART 3 - EFFECTS [Kèm PDF]
🎗Can hobbies have negative effects?
Yes. I think if you spend too much time on your hobbies, it can affect other aspects of your life. For example, if one of your hobbies is playing games, and you spend hours playing Plants vs. Zombies or Angry Birds, then you will have little time for your studies and your social life. Another example is if you love watching movies, and after a hard day at work, instead of doing exercise, you spend all evening watching your favourite films, which is really harmful to your health. So, I think whether a hobby has negative effects or not depends on how we spend time doing it.

Sở thích có thể có tác động tiêu cực không?
Có chứ ạ. Tôi nghĩ rằng nếu bạn dành quá nhiều thời gian cho sở thích của mình, nó có thể ảnh hưởng đến các khía cạnh khác trong cuộc sống của bạn. Ví dụ: nếu một trong những sở thích của bạn là chơi game và bạn dành hàng giờ để chơi Plants vs. Zombies hoặc Angry Birds, thì bạn sẽ có ít thời gian cho việc học và đời sống xã hội của mình. Một ví dụ khác là nếu bạn thích xem phim, và sau một ngày làm việc mệt mỏi, thay vì tập thể dục, bạn dành cả buổi tối để xem những bộ phim yêu thích, điều này thực sự có hại cho sức khỏe của bạn. Vì vậy, tôi nghĩ rằng một sở thích có ảnh hưởng tiêu cực hay không phụ thuộc vào cách chúng ta dành thời gian thực hiện nó.

🎗What effects do you think humans have on wild animals?
I think human activities have great impacts on wildlife. First, we are destroying their habitats by burning or clearing forests for agriculture or tourism. Thousands of wild animals have died, and some species have become extinct because of habitat destruction. Second, lots of wild animals are suffering because of illegal hunting and poaching. For example, we can see many videos or pictures about rhinos losing their horns, wild elephants losing their tusks or leopards being killed for their fur.

Bạn nghĩ con người có ảnh hưởng gì đến động vật hoang dã?
Tôi nghĩ rằng các hoạt động của con người có tác động lớn đến động vật hoang dã. Đầu tiên, chúng ta đang hủy hoại môi trường sống của chúng bằng cách đốt hoặc phá rừng làm nông nghiệp hoặc du lịch. Hàng ngàn động vật hoang dã đã chết, và một số loài đã bị tuyệt chủng vì hủy hoại môi trường sống. Thứ hai, rất nhiều động vật hoang dã đang phải chịu đựng vì nạn săn bắn và săn trộm bất hợp pháp. Ví dụ, chúng ta có thể thấy nhiều video hoặc hình ảnh về những con tê giác bị mất sừng, những con voi hoang dã bị mất ngà hoặc báo bị giết để lấy lông.

🎗What effects does new technology have on employment?
I think the effects of technology on employment are both negative and positive. In terms of the positive, thousands of jobs have been created, and many people have benefited from it, such as web developers, web designers or IT engineers. Therefore, it has helped improve their living standards. However, lots of people, especially those who do manual work, are faced with unemployment because their work has been replaced by machines or modern technological devices.

Công nghệ mới có ảnh hưởng gì đến việc làm?
Tôi nghĩ rằng những tác động của công nghệ đối với việc làm vừa mang tính tiêu cực vừa tích cực. Về mặt tích cực, hàng ngàn việc làm đã được tạo ra và nhiều người đã được hưởng lợi từ điều này, chẳng hạn như các nhà phát triển web, thiết kế web hoặc kỹ sư CNTT. Do đó, nó đã giúp cải thiện mức sống của họ. Tuy nhiên, rất nhiều người, đặc biệt là những người làm công việc thủ công, phải đối mặt với thất nghiệp vì công việc của họ đã được thay thế bằng máy móc hoặc các thiết bị công nghệ hiện đại.

🎗What effects has modern technology had on the way food is produced?
I think technological advances have great impacts on food production. Millions of tonnes of genetically modified foods are produced every day. These foods are more resistant to diseases than foods produced in a traditional way. And thanks to breeding technologies, some plant species have been saved from extinction. But we also need to think about the negative effects of technology on food production. These days, the overuse of chemical pesticides and fertilizers is one of the main reasons for the increase in cancer and other fatal health problems.

Công nghệ hiện đại có ảnh hưởng gì đến cách thực phẩm được sản xuất?
Tôi nghĩ rằng những tiến bộ công nghệ có tác động lớn đến sản xuất thực phẩm. Hàng triệu tấn thực phẩm biến đổi gen được sản xuất mỗi ngày. Những thực phẩm này có khả năng kháng bệnh tốt hơn so với thực phẩm được sản xuất theo cách truyền thống. Và nhờ các công nghệ nhân giống, một số loài thực vật đã được cứu khỏi sự tuyệt chủng. Nhưng chúng ta cũng cần nghĩ về những tác động tiêu cực của công nghệ đối với sản xuất thực phẩm. Ngày nay, việc lạm dụng thuốc trừ sâu và phân bón hóa học là một trong những lý do chính làm tăng ung thư và các vấn đề sức khỏe gây tử vong khác.

🎗What effects can watching television have on children?
I think that watching TV can have both positive and negative effects on children. By watching educational TV programmes, such as the Discovery Channel or BBC’s Planet Earth, children can learn more about the world they live in. Watching TV can also help them develop their imagination and creativity, which are essential skills for their future careers. However, if they spend too much time watching TV, they will have less time for their studies, and this could affect their academic results. Also, sitting for too long in front of the screen is harmful to their health.

Việc xem truyền hình có những ảnh hưởng gì đối với trẻ em?
Tôi nghĩ rằng xem TV có thể có cả tác động tích cực và tiêu cực đến trẻ em. Bằng cách xem các chương trình truyền hình giáo dục, chẳng hạn như Kênh Discovery hoặc BBC Trái đất, trẻ em có thể tìm hiểu thêm về thế giới mà chúng đang sống. Xem TV cũng có thể giúp chúng phát triển trí tưởng tượng và khả năng sáng tạo, đó là những kỹ năng cần thiết cho sự nghiệp tương lai của chúng. Tuy nhiên, nếu chúng dành quá nhiều thời gian để xem TV, chúng sẽ có ít thời gian hơn cho việc học và điều này có thể ảnh hưởng đến kết quả học tập của chúng. Ngoài ra, ngồi quá lâu trước màn hình có hại cho sức khỏe của trẻ.

https://ielts-nguyenhuyen.com/ielts-speaking-part-3-model-answer-effects/
#ieltsnguyenhuyen

HỌC IELTS SPEAKING PART 1 CHỦ ĐỀ MOVIES QUA CÂU TRẢ LỜI MẪU
Đây là một vài trang cô trích ra từ cuốn 'Câu hỏi & Bài mẫu IELTS Speaking Part 1 2 3' với câu hỏi và câu trả lời mẫu cho chủ đề MOVIES. Các bạn hãy cùng học thêm một số từ vựng hay và thực hành nhé.
---------------------------
Link download PDF: https://m.me/286585161523028?ref=SP1Movies
Sách Câu hỏi & Bài mẫu IELTS Speaking Part 1 2 3 theo chủ đề: https://ielts-thanhloan.com/san-pham/ebook-luyen-ielts-speaking
---------------------------
1. Do you like watching movies?
Definitely, I’m a movie freak. Watching movies is an excellent way to unwind. Moreover, my friends are really into films, so it’s exhilarating to spend time together. Afterwards, we discuss and debate the details of the film.
2. What genre do you like?
I love watching all genres. I try to absorb and enjoy as many different kinds of films as I can, whether it be the blockbuster Avengers: End Game or the comedy-drama musical film La La Land.
3. What is your favorite movie?
My movie of choice is Parasite, a 2019 South Korean black comedy film directed by Bong Joon-ho. It won a leading award for Best Picture at the Academy Awards, becoming the first Korean film to receive the award.
4. Do your friends like this movie?
Well, it was actually my close friend who recommended the movie to me, and we watched it together in the cinema right on the day it premiered. Parasite with plot twists really excited our curiosity.
5. How often do you go to a cinema to watch a movie?
Well, the Internet really comes in handy today when it comes to watching movies online, so I rarely spend time watching movies in cinemas. Besides, I don’t need to spend too much money on things like tickets or popcorn.
6. Do you like to watch movies alone or with your friends?
I believe I will gravitate towards watching movies with my friends despite the fact that the idea of watching movies alone is fascinating. I enjoy being in the company of friends. Then, we can discuss movie details later on!
7. Do you want to be a movie star?
Well, not really. I have no talent for acting. Besides, I value my privacy, but being an actor means you are constantly surrounded with paparazzi and public attention. I just can’t imagine leading that kind of life.

📜 [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

#寶寶 #寶寶睡過夜 #寶寶副食品 #育兒

老天，我終於把這個寶寶睡過夜的影片給生出來了！真的只想直接上傳！今天跟大家分享的寶寶作息表的PDF檔大家一定要去下載！真的花了我好長時間呀 QQ 我真的覺得這個是新手爸媽必看！??
真的希望對大家有幫助！我會繼續努力把“怎麼訓練寶寶睡過夜”的影片給生出來！！
今天的問題都是根據我前一部寶寶睡過夜的影片留言，
如果大家還有什麼其他關於寶寶睡覺的影片這邊沒有分享到的，歡迎留言給我喔！
希望大家的寶寶都可以睡過夜！！！！啊啊啊啊～！！！！！

裡面有很多需要補充的資訊，我會在下一個影片更詳細的分享給你們喔！希望給你們一個小孩完整的訓練懶人包！

希望你喜歡今天的影片!

LOVE,
Mackey媽咪
----------

? 睡眠101影片
自主如數訓練全攻略：https://youtu.be/DIDrz8SZonc
睡眠3招讓寶寶睡過夜：https://youtu.be/0nNEdZ9Qqfc


??? 下載寶寶0-24M作息時間表：https://mailchi.mp/cb330232323b/0-24m
（做這個做到我的腰快斷了 XD）
BONUS 雙胞胎寶寶作息表：https://mailchi.mp/29cb53f569a1/utxj7urpgl
（如果沒收到email可以在「全部郵件」或是「垃圾郵件」看看，如果還是沒有可以立即留言給我喔，我會即時發給你！）


今天的Q&A問題：
0:13 書名到底是什麼？
02:14 睡過夜的Tips是在晚上睡前做，還是在每一次的餵奶完後做呢？
02:49 請問影片那包覆性床哪裡可以買？
04:08 可以分享寶寶的作息時間嗎？
04:26 請問精油牌子（我以為我有回答到，我使用的品牌）Young Living喔
05:58 寶寶半夜真的不會餓嗎？
08:36 親餵怎麼辦呢？不知道到底是有沒有吃飽，就沒辦法固定時間
09:10 如果白天 他不自主的睡著 怎麼叫都叫不醒來 要怎麼做他才會醒來
10:25 你宝宝多久开始可以训练宝宝睡整觉呢
10:38 幾時開始分房睡？
12:38 如果是讲故事是喝完奶讲还是喝完奶后讲？
13:42 1.做完睡前儀式後，讓寶寶在自己的床上睡，萬一離開後又哭鬧了該怎麼處理，不理他或再哄哄她呢～
2.目前我寶寶2個月大，本來都是非常固定的4小時喝奶，但現在越來越會睡比較長才要喝奶，這樣的情形是即使不餓我也把他叫起來喝奶嗎（白天的時候）或是我只要掌握睡前那餐的時間固定就好～
15:08 請問要怎麼詢問妳寶寶如何自主睡覺呢
15:39 请问你的宝宝从几个月开始从七点睡到七点呢？这期间不需要换尿布吗？
18:01 寶寶半夜哭的話會馬上哄嗎？還是等一段時間後再哄？
19:55 請問7-7點適用年紀多大的寶寶，是7點就讓他睡了還是7點開始準備洗澡喝睡前奶？


看更多寶寶副食品影片? https://pse.is/M5S2P

來加入我們的大家庭 (♡˙︶˙♡)
◑ 粉專 Facebook → https://pse.is/LY6GY
◑ Mackey IG → https://pse.is/MRZQ4
◑ 圓寶IG → https://pse.is/FLPMX
◑ 老公 IG → https://pse.is/HZ6K9
◑ 老公頻道 →https://pse.is/LXQA9
◑ 商務聯繫 → halomackey@gmail.com

---

如何支持我的頻道?
▶Save Our Sleep by Tizzie Hall （還是很推薦大家自己買來讀，裡面有很多實用的內容）：https://amzn.to/3egTNe0
▶Save Our Sleep - Feeding（餵奶疑慮買這本）：https://amzn.to/2UOQymr
▶Save Our Sleep - Toddler Edition（1歲後的寶寶訓練買這本）：https://amzn.to/3eerRr7
▶How to Raise a Happy Toddler：https://amzn.to/2N6OwKf
▶我買的床中床Snuggle Me Organic：https://amzn.to/3ef3TMr

▶來我的蝦皮賣場逛逛吧! 台韓精選好物
https://shopee.tw/halomackeyofficial
（因為疫情的關係最近暫停，大家可以先追蹤我們XD）

▶ 10% Cashback via ShopBack when you shop. Get SGD$5 here
https://goo.gl/ICzaiU
買淘寶前記得透過shop back再去下單，可享最高10%的現金回饋喔

▶看完影片開始前的youtube廣告, 不要五秒略過喔!
用戶看完廣告我們可以和平台分到一些微薄的廣告收入

從透過連結購買我們會得到來自amazon微薄的分潤獎金，你們的大大小小的支持都可以協助我們繼續創作這條路!在此說聲謝謝(〃∀〃)~♡
—

▶使用硬體軟體:
? Camera：Panasonic GF7 / Canon G7 X Mark II / iphone XR
? Editing： Final Cut Pro X
? 音樂來源：epidemic sound（付費使用）

#寶寶副食品 #Mackey媽咪 #媽咪懶人包 #寶寶飲食 #育兒分享 #寶寶粥
#副食品時間表 #寶寶日常 #寶寶寫真 #寶寶穿搭 #寶寶成長日記 #寶寶日記 #halomackey  #Mackey育兒經驗分享  #寶寶副食品製作 #寶寶副食品完整攻略

So a few months back...

I was digging through my old YouTube videos and here's what I found...

The most popular video on my YouTube channel is on candlestick patterns — with close to a million views.

So I figured this is something you love and want to learn more, right?

And that's what you'll get because...

Today’s training is all about Candlestick Patterns baby!

You’ll discover:

** The biggest reason why traders lose money with Candlestick Patterns (hint: it’s because they follow what the textbook teaches)
** The MAEE Formula: A trading strategy that lets you profit in bull & bear markets
** How to time your entries and exit your with precision — and never second-guessing yourself again
** Advanced Price Action Techniques to improve your winning rate (these are the stuff nobody talks about

Cool?

Then go check out this training below…

** FREE TRADING STRATEGY GUIDES **

The Ultimate Guide to Price Action Trading: https://www.tradingwithrayner.com/ultimate-guide-price-action-trading/

The Monster Guide to Candlestick Patterns: https://www.tradingwithrayner.com/candlestick-pdf-guide/

** PREMIUM TRAINING **

Pro Traders Edge: https://www.tradingwithrayner.com/pte/

Pullback Stock Trading System: https://pullbackstocktradingsystem.com/

Price Action Trading Secrets: https://priceactiontradingsecrets.com/

いつもご視聴ありがとうございます。
あまりの暑さに、ついこんな動画をアップしてしまいました(^ ^;)　お楽しみいただければと思います。

Yumiの英語発音教材『脱カタカナ英語マニュアル』をBASEにて発売中です。https://enbootcamp.thebase.in/

・テキスト１０２ページ（PDF）
・音声９０分（MP3）
・動画４０分（MP4）
のフルパッケージ教材です。

こちらからサンプルが見られます。
https://englishbootcamp.jp/lp/

また、発音・リスニング対策動画教材をDLmarketで販売開始しました。
１つの音・テーマにつき１動画＋テキスト（PDF）で一律800円です。

DLmarketのページ
https://www.dlmarket.jp/manufacture/index.php?consignors_id=19064

【現在販売中の動画一覧】※今後増えていきます。
・Rの発音－巻き舌ではないネイティブのR
・R母音１－fur/far. hurt/heartなど
・Lの発音－明るいL（love, usuallyなど）
・Lの発音－暗いL（cool, peopleなど）
・母音３つのアより「大きなア」[a],[ɔ] hot, god, rockなど、喉を縦に開けて出すア
・母音３つのアより「ゾンビのア」[ʌ]　cup, but, loveなど、低く呟くように言うア
・母音３つのアより「べシャッとしたア」cat, map, Japanなど、[æ]　あごを落して出すア
・母音 [ɪ],[ɛ]　six/sex, big/begなど、意外と日本人が苦手な母音
・英語の子音 L/R　舌の動かし方を徹底解説
・英語の筋肉を作る－舌・唇・あごの筋トレ方法