@dun.ngyn: Chảo nướng điện siêu tiện nè mí bà ơi, nướng ngon mà giá hssv lắm í #hodekt #chaonuongdien #chaonuonghodekt

Dunn Rì Viu
Dunn Rì Viu
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Region: VN
Sunday 13 July 2025 11:28:50 GMT
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dear.july85
Dear. july :
trong clip là loại nào vậy ạ?
2025-07-27 17:25:52
0
ngothvha59j
Cửa Hàng VTNN Phúc Thịnh :
bếp này nướng có bị khói k ạ
2025-08-04 08:24:14
0
s.ho3287
199x. 💕💕 :
sợ ko.bền
2026-04-25 18:11:44
0
kevotam607
Jin :
Ko mở ra rửa dk vẫn ko thích
2025-08-02 04:50:04
0
haajum10
ʜᴀᴀᴊᴜ :
Xịn quá bà ơi
2025-07-14 02:46:00
1
cici.say.hi
Cici say hi :
Xịn ghê, nghe xèo xèo là thèm nướng liền
2025-07-14 06:01:05
0
ngoc_tap_unbox
🎧ྀི✮PopPupBOO🫧⋆°𓆝 :
Xịn ghê
2025-08-13 13:14:05
0
k.ngnaa_07
🌸Kmi.ngnna🌷 :
xịn xịn
2025-12-26 13:28:28
0
cuteesiucapvutru
Ruốc photo 🐸 :
Pass lại 100k kvuc hn mới dùng 1 lần nướng nửa bắp ngô
2025-08-11 15:04:35
0
maibancaphehat
hương đất nâu_cà phê sạch :
dễ thương vậy chèn😂
2025-07-28 06:12:45
0
myduyen18023
Mỹ Duyên :
Vệ sinh thế nào he
2025-08-02 14:13:08
0
dan.pham739
Linh Đan Unbox :
Mê lắm b😍
2025-07-14 05:26:18
0
1hoaol2
Hải anh🌷 :
nướng k ngon giống như xào chiên
2025-08-17 16:55:27
0
be_thich_nau_an8
Bé thích nấu ăn 👩🏻‍🍳 :
Thèm quá ạ
2025-08-04 19:29:59
0
dinhthu057
Thư Shop Review :
Tiện lợi dễ sử dụng
2025-09-18 04:26:50
0
xinchaoalice
xinchaoalice 𐙚🧸ྀི :
Ưng lắm nha
2025-08-19 13:13:22
0
grayunbox
Gray :
tiện quá
2025-08-23 07:26:12
0
ruuby076
Ruby🫑 :
Xịn quá tr
2025-07-13 11:40:20
0
mebesua0709
Hồng ( Mẹ Sữa ) 🍼 :
Xịn ghê
2025-07-13 13:50:30
0
maiunbox7
✿ʏᴇᴊɪɴ 예진✿ :
Thích quá
2025-07-13 12:25:06
0
lananhreview234
Mẹ Gấu Rì Viu 🐻 :
Thèm quá tr
2025-07-14 02:58:29
0
mynuong9897
Tạp hoá Nia Nia 🍀 :
Tiện quá muốn ăn đồ nướng đỡ lằng quằng hen
2025-07-13 14:10:35
0
anh.phng484
Phương review :
Tiện qá chời luôn
2025-07-13 12:48:04
0
meo_reviu
Mèo rì viu :
Tiện lắm nha🤗
2025-07-13 12:57:10
0
hanhan_unbox
Hân Hân Unbox ☀️ :
có ẻm tiện lắmmm
2025-07-13 11:50:08
0
To see more videos from user @dun.ngyn, please go to the Tikwm homepage.

Other Videos

➡️ Quantitative Finance From Scratch, Part 20: Backtesting. A backtest tests a trading strategy on historical data, as if you had used it back then, to see whether it would have made money and how much risk it took along the way. Portfolio managers, analysts and quant researchers run backtests before real money goes into an idea. The key idea: split the past in two. You build the rule on the first part (in sample) and then test it on later data it has never seen (out of sample). The out of sample result is the fairer check. Why it matters: if you search the past hard enough, you will find patterns, even in pure noise. Trying rule after rule until one looks good is called data mining, and many of those patterns are just statistical chance. In this video we test 498 simple rules (hold after the price rose or fell over 2 to 250 days) on 10 simulated years of a market with no edge at all. The best rule in the first five years makes +11% in sample. On the next five years, data it has never seen, the same rule loses 28% and drops to rank 460 of 498. The ten best rules in sample lose 18.5% on average out of sample. Even a properly backtested result only describes the past. Markets change, and a pattern that worked for years can stop working. Classic mistakes: look-ahead bias (using information you could not have known at that time), survivorship bias (testing only companies that still exist today) and leaving out trading costs. All numbers come from one simulated run with assumed numbers (seed 20, daily returns with zero average and a 1% daily swing). No real market data, no strategy recommendation. Education only, not financial advice. #quantitativefinance #quant #backtesting #finance #trading
➡️ Quantitative Finance From Scratch, Part 20: Backtesting. A backtest tests a trading strategy on historical data, as if you had used it back then, to see whether it would have made money and how much risk it took along the way. Portfolio managers, analysts and quant researchers run backtests before real money goes into an idea. The key idea: split the past in two. You build the rule on the first part (in sample) and then test it on later data it has never seen (out of sample). The out of sample result is the fairer check. Why it matters: if you search the past hard enough, you will find patterns, even in pure noise. Trying rule after rule until one looks good is called data mining, and many of those patterns are just statistical chance. In this video we test 498 simple rules (hold after the price rose or fell over 2 to 250 days) on 10 simulated years of a market with no edge at all. The best rule in the first five years makes +11% in sample. On the next five years, data it has never seen, the same rule loses 28% and drops to rank 460 of 498. The ten best rules in sample lose 18.5% on average out of sample. Even a properly backtested result only describes the past. Markets change, and a pattern that worked for years can stop working. Classic mistakes: look-ahead bias (using information you could not have known at that time), survivorship bias (testing only companies that still exist today) and leaving out trading costs. All numbers come from one simulated run with assumed numbers (seed 20, daily returns with zero average and a 1% daily swing). No real market data, no strategy recommendation. Education only, not financial advice. #quantitativefinance #quant #backtesting #finance #trading

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