關於 function of root ，我們在網路上蒐集到這些相關的討論、資訊與評價

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【健康的三酸甘油脂支持】

【三酸甘油脂是在血液中供應身體使用能量的脂肪】。這些脂肪含量過高時，問題就來了。高的三酸甘油脂指數程度會增加心臟疾病的風險，而且會加重【高膽固醇】，【高血壓】，【糖尿病】的不良影響。【 ω-3脂肪酸】已被證明能促進三酸甘油脂平衡的健康。研究報告已經如此引人矚目，在2011年，美國心臟協會發表了一份聲明，針對那些【三酸甘油脂偏高邊緣或較高】的人，建議【每日EPA和DHA使用攝取】 。

【改善血管內皮的功能】

從你的心臟到最小的毛細血管，你的整個循環系統中襯墊著內皮細胞。當血液流經你的身體體內時，這些細胞可減少摩擦，使血液事半功倍地進一步促進流通 。如果這些細胞不正常，它就會造成你的心臟不必要的過勞損傷。【 EPA和DHA ω-3脂肪酸】已被證明有助於改善血管內皮功能，可降低"靜息"脈搏率。

【用天然方法支持健康的發炎平衡】

"發炎"是廣義的術語，就是對身體的免疫力反應的有害刺激（如病原體或刺激物）或物理性的損而傷害。而初期時，它是有益的(可以讓細胞修補)，但【發炎症會導致更多的發炎症】，而且會造成【身體發炎持續不斷地發生】。 這種類型的超級發炎症是整個人體主體的健康問題，包括【心臟疾病】的問題。越來越多的研究表示， 【ω-3脂肪酸】有助於身體減少發炎症。美國俄亥俄州立大學（Ohio State University）精神病學和心理學教授及大腦，行為與免疫研究報告的總編Jan Kiecolt-Glaser 說“ 【ω- 3脂肪酸的保護既可以使發炎症提升不上去，並有療效作用地幫助發炎症降下去】。

Healthy triglyceride support.

Triglycerides are fats in the blood the body uses for energy. The problem comes when these fat levels are too high. High triglyceride levels increase your risk of heart disease, and can compound the bad effects of high cholesterol, high blood pressure, and diabetes. Omega-3s have been shown to promote healthy triglyceride levels. Research studies have been so compelling, that in 2011 the American Heart Association issued a statement recommending daily EPA and DHA consumption for those with borderline or high fasting triglyceride levels.

Improved endothelial function.

From your heart to the smallest capillary, your entire circulatory system is lined with endothelial cells. These cells reduce friction as blood flows through your body, allowing blood to be pumped further with less effort. If these cells are not functioning properly, it can put unnecessary strain on your heart. EPA and DHA omega-3s have been shown to help improve endothelial function and reduce resting pulse rate.

Natural support for healthy inflammation levels.

Inflammation is the broad term for the body’s immune response to harmful stimuli (such as pathogens or irritants) or physical damage damage. Initially, it is beneficial, but inflammation can lead to more inflammation, and become selfperpetuating. Hyper-inflammation of this type is at the root of a whole host of health problems, including heart disease. More and more studies have shown that omega-3s aid the body by helping to reduce inflammation. “Omega-3 fatty acids may be both protective so that inflammation doesn’t go up, as well as therapeutic by helping inflammation go down,” said Jan Kiecolt-Glaser, professor of psychiatry and psychology at Ohio State University and lead author of a study printed in Brain, Behavior and Immunity.

----------------------------------------------
*Translated by A.Su, Leadership in Action Delivers Wellness and Helps You Live Your Best Life.
#helpingyouliveyourbestlife
#residualincome #richdadpoordad
#wellness #WellnessInstructors
#帶領年輕人無本依附創業
#人終究需要的是持續收入
#富爸爸俱樂部 #富爸爸基因
#領導菁英傳遞富足👣
#富足有道理 #舒適真言錄
#富足導師育成中心

📜 [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

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蓮藕半斤
紅蘿蔔1個
栗子半磅（已剝殼）
核桃2兩 （已剝殼）
蓮子1兩
眉豆1兩
花生1兩
陳皮1角

處理：
1. 蓮子、眉豆、花生、陳皮、栗子、核桃（如為痛風症人士，可用薑1大片及紅棗6粒代替眉豆及花生），清水浸15分鐘。
2. 紅蘿蔔及蓮藕，洗乾淨，去皮，切細舊。
3. 如果用明火煲，放3升水。用高壓煲，放2升水就夠了。
4. 紅蘿蔔及蓮藕，放入煲。
5. 栗子，洗淨，放入煲。
6. 核桃，洗淨，放入煲。
7. 蓮子，去皮，去芯，放入煲。
8. 陳皮，洗淨，放入煲。
9. 花生，洗淨，去皮，放入煲。
10. 加水入高壓煲，用“明火煲湯”功能，煲40分鐘，就可以了。如用明火煲，大火煲滾10分鐘，轉中慢火再煲1小時就可以了。
11. 湯已用高壓煲煲好，焗了1小時。
12. 完成，可享用。

Eight treasure vegetarian soup:

Ingredients:
Lotus root 0.5 catty
Carrot 1 No.
Chestnut 0.5 lb (without shells)
Walnuts 2 taels (without shells)
Lotus seed 1 tael
Eyebrow peas 1 tael
Peanuts 1 tael
Dried orange peel 1 pc

Preparation:
1. Lotus seeds, eyebrow peas, peanuts, dried orange peel, chestnut and walnuts (ginger 1 big slice and red dates 6 Nos. should be used instead of eyebrow peas and peanuts, for metabolic arthritis sufferers), soak in water for 15 minutes.
2. Carrots and lotus root, rinse, peel and cut into small pieces.
3. Soup boiling by fire, put water 3L. Soup boiling by pressure cooker, put water 2L is OK.
4. Carrot and lotus root, put into pot.
5. Chestnuts, rinse then put into pot.
6. Walnuts, rinse and put into pot.
7. Lotus seeds, peel and remove cores, put into pot.
8. Dried orange peel, rinse, put into pot.
9. Peanuts, rinse, remove skin, put into pot.
10. Put water into pressure cooker, use "porridge/soup" function. Boil for 40 minutes is OK. If soup is to be boiled by fire, heat up the soup at high flame for 10 minutes, turn to medium~low flame, boil for an hour is OK.
11. Soup has been boiled well. Leave it in pot for an hour.
12. Complete. Serve.

純菜?素食?素煮?(系列)播放清單
https://www.youtube.com/playlist?list=PLkU_SdeTtB_RKnrfVikRvaKyfEjg2tD54

8-Treasure Vegetarian Broth☯️ Calming, Tonifies Qi, Strengthens Spleen

八寶素湯
安神,補氣,健脾

⬇️⬇️English recipe follows⬇️⬇️
高速煲粉葛赤小豆扁豆石鰍魚湯

材料：
粉葛1斤半
赤小豆、扁豆各4兩
排骨1斤
石鰍魚1斤
薑1舊

處理：
1. 赤小豆，放碗中，清水浸。
扁豆，放碗中，清水浸。
2. 石鰍魚，清水洗乾淨。
3. 排骨，大火在鑊中煲滾1鑊水，出水3分鐘，清水洗乾淨。
4. 粉葛，去皮，切細舊。
5. 薑，清水洗淨，連皮切片。

烹調：
1. 大火在鑊中燒熱油1湯匙。
2. 爆香薑。
3. 放石鰍魚，轉中火煎透。
4. 赤小豆、扁豆已浸了幾分鐘，擎乾水，清水沖洗乾淨。
5. 魚已煎了3分鐘，反轉繼續煎。
6. 排骨、赤小豆、扁豆及粉葛，放入煲內。
7. 放石鰍魚落煲。
8. 加入水3升。
9. 用“濃香煲湯”功能煲，煲40分鐘。
10. 完成，可享用。

Kudzu root with Adzuki bean and flathead fish soup with high speed cooker

Ingredients:
Kudzu root 1.5 catty
Adzuki l beans 8 taels
Pork ribs 1 catty
Flathead fish 1 catty
Ginger 1 No.

Preparation:
1. Adzuki beans, put in a bowl, soak in tap water.
2. Flathead fish, rinse with tap water.
3. Pork ribs, heat up a wok of water at high flame, soak for 3 minutes. Rinse thoroughly.
4. Kudzu root, get it peeled. Cut in small pieces.
5. Ginger, get it rinsed, slice with its skin.

Steps:
1. Heat up oil 1 tbsp at high flame in wok.
2. Fry ginger well.
3. Put flathead fish, turn to medium flame and fry well.
4. Adzuki beans, has been soaked in tap water for several minutes, hang dry, rinse thoroughly.
5. Fish has been fried for 3 minutes, flip over and continue frying.
6. Pork ribs, Adzuki beans and Kudzu root, put in pot.
7. Put fish into pot.
8. Put water 3L.
9. Use “porridge/soup” function, cook for 40 minutes.
10. Complete. Serve.

?煲粉葛湯 重點?
1. 買粉葛 盡量買未劈開 擔保新鮮

2.煲粉葛湯 粉葛.赤小豆,扁豆
要足夠份量 粉葛湯先清甜

3,用明火煲粉葛湯,最少都要煲
兩小時,再需要焗一兩小時
粉葛,豆類,味道先出

大家入呢個網址 ?我幾佰多條片?全部可以睇曬?https://goo.gl/cuyAZa

勁勁沖涼(天竺鼠)
https://youtu.be/FnsvZl9JUe4

發仔沖涼 (貓貓)
https://youtu.be/Ug2qCrCk8QA

發仔吹身 (貓貓)
https://youtu.be/Jya5yUL38F4

達仔沖涼 (貓貓)
https://youtu.be/BjJzCNcyOQU

達仔吹身 (貓貓)
https://youtu.be/s2KJrjLCvjg

發達仔剪指甲 (貓貓)
https://youtu.be/JV89vyF7b5k

勁勁剪指甲(天竺鼠)
https://youtu.be/0nb6Xo2Ldbc

貓貓出入門 (自己安裝)
https://youtu.be/Iv8duvUUYZw

貓貓 貓抓板 貓抓墊 (宜家傢俬)
https://youtu.be/gP8UEP41T7M

達仔 (貓貓) 飲水食藥搽眼膏https://youtu.be/gP8UEP41T7M

勁勁剪髮 (天竺鼠)
https://youtu.be/NyRxUBop9PM

(?永遠懷念?) 勁勁 (天竺鼠)
https://youtu.be/4zVV9oACZ5E

自走式吸塵機(發達仔) https://youtu.be/1qZYM3U538Q

長相廝守 (發達仔親戚朋友)
https://youtu.be/FpILFTzGams

If you're a fan of anything herbal, you might want to give this recipe a try. It's one of the easiest recipes we have on our channel. Simply marinate the chicken, dump it in your rice cooker and voila!

Not a fan of anything herbal but you still want to make something like this for your family? You can use this recipe instead https://www.youtube.com/watch?v=4yFfJAUjXD8&t=191s and cook it in your rice cooker in the same way as Roland did in this video.

See the ingredient list below for your easy reference.

The device we used in this video is La Gourmet Healthy Rice Cooker. Our kind sponsor sent us their new rice cooker to try and truly, we are impressed!! With this new rice cooker, we have banished our normal rice cooker to our store room. I mean - why not? It's like going on a healthy diet without even trying. We can eat rice as usual but it's actually healthier because it contains 37% lesser starch. Solid!

This rice cooker also comes with various other cooking functions which makes it really an awesome buy. Time for you to ditch your normal rice cooker!

For your reference, please see below to see how much water and rice to use when cooking rice. The portion used is for 4 people so if you're feeding lesser or more people (or simply you’re a a rice monster) , please adjust accordingly.

Please note that when using La Gourmet Healthy Rice Cooker, the low starch rice function will only work if you're cooking plain rice i.e. only when cooking rice and water with no other ingredients. If you want to add other ingredients, you can still use the La Gourmet Healthy Rice Cooker, just use the rice function to cook your rice. If you're doing so, please use the portion below listed for normal rice cooker.

Hope this helps! Buy buy buy, must buy!!!

-----------
If you like to get this La Gourmet Healthy Rice Cooker, head to our major departmental stores in Singapore (Takashimaya, Isetan, Robinsons, Courts, BHG, OG, Metro, Tangs) Do check out Lazada too because La Gourmet sells some of their products there too. La Gourmet is also available in Malaysia, Indonesia and Vietnam. Hope you can find them in your home country.


Ingredients
--------
Serves 4 -5 pax

Group A Ingredients
--------
5g of ginseng roots
5g of Angelica roots

Soak Group A ingredients in 1/2 cup (125ml) of hot water. Wait until they have cooled down before using them (including the water) to marinate your chicken

Group B
------
1/2 tablespoon of cekur root powder (sorry for the typos in the video- you can look for galangal powder if you can’t find cekur powder and last resort is to use ginger powder)
2 tablespoons of oyster sauce
2 tablespoons of light soy sauce
1 teaspoon of salt
1 tablespoon of Chinese cooking wine (Shaoxing Huatiao wine)
1 stalk of spring onion (lightly smash the stem)
1 kg chicken
3 tablespoons of dark soy sauce (although we rubbed 2 tablespoons on the chicken followed by 1 tablespoon to the sauce much later but you can add them as part of the marinade)

Add Group A & B ingredients together and marinate in the fridge for at least 2 hours.

Group C
------
A few stalks of spring onion
20g of young ginger - sliced

Lay Group C ingredients in the rice cooker first before adding the chicken. Remember to add the rest of the marinade to cook with the chicken. Cook the chicken for about 28 minutes and check that the chicken is thoroughly cooked before serving.

Group D
------
Some cornstarch solution
Some chopped spring onion

Once you have removed the chicken from the pot, remove the spring onion and ginger as well. You can discard the spring onion and ginger. Bring the sauce a boil first then add some cornstarch solution to thicken your sauce. Spring onion is optional so it's entirely up to you.

===
If you like this recipe, you might like these too:

10 MIN EASY Thai Glass Noodles w/ Prawns Recipe 泰式冬粉虾
https://www.youtube.com/watch?v=F1oPAXfXuLI&t=40s

Secret Revealed! Super Crispy Chinese Prawn Fritters 炸虾球 Crispy Prawn (Shrimp) Ball Recipe
https://www.youtube.com/watch?v=lKyP-3RClt8&t=94s

How to cook Hong Kong Crispy Garlic Shrimp - Typhoon Shelter Fried Prawns 避风塘炒虾 Chinese Prawn Recipe
https://www.youtube.com/watch?v=Q7FOlkXFuBg&t=80s

Disclaimer:
Spice N' Pans is not related to these products and cannot guarantee the quality of the products in the links provided. Links are provided here for your convenience. We can only stand by the brands of the products we used in the video and we highly recommend you to buy them. Even then, preference can be subjective. Please buy at your own risk. Some of the links provided here may be affiliated. These links are important as they help to fund this channel so that we can continue to give you more recipes. Cheers!