1. Home
  2. Detail

@moneyxvn: Sau vụ hack Binance 6,34 tỷ USD, Chủ tịch Hiệp hội Blockchain Việt Nam cảnh báo tin tặc đang nhắm vào kỹ sư ngân hàng và chứng khoán. Dự báo 90% sẽ tiếp tục dùng bài kiểm tra mã độc nhắm vào kỹ sư Châu Á. #moneyx #blockchain #tintac #nganhang #chungkhoan

Money X
Money X
Open In TikTok:
Region: VN
Sunday 08 November 2026 12:13:18 GMT
68071
709
24
216

Music

Download

No Watermark .mp4 (7.92MB) No Watermark(HD) .mp4 (8.99MB) Watermark .mp4 (7.92MB) Music .mp3

Comments

simon20212021
🐍🐍 Mệnh Mộc 🐍🐍 :
Mai bán ck rút tiền vè sợ quá
2026-11-08 13:10:45
15
duchahuy5
duchahuy5 :
Ck thì hack gì v ạ??
2026-11-08 14:08:26
1
ninahoang87
ninahoang87 :
Càng rin vào iA thì mất càng nhiều nhé !
2026-11-08 23:55:18
3
hoa.c.may623
Hoa Cỏ May :
Hên quá làm ngày nào bỏ mòm ngày nấy có đâu mà gởi ngân hàng
2026-11-09 04:01:47
0
phatloc1996
Lộc Phát Unitek :
Hên quá ko có tiền ở ngân hàng 😅 vì có cái nịt 😳
2026-11-09 02:56:03
0
usermsgcmm
guava :
có đền ko zi
2026-11-09 03:29:08
0
trungnhan98_
trungnhan98 :
Năm ngoái vndirect bị tấn công rụng càng rồi đó =))
2026-11-08 16:27:46
1
giomuadong1643
Lò Hài Dón :
rút tiền khuyên thật
2026-11-08 17:05:45
1
tranloi709haugiang
Thiên Ý¿?¿¿¿¿¿¿?¿??? :
tich hợp ,cập nhật,xác thực,banh xát
2026-11-08 15:29:27
0
.taphoa
Nguyên sss :
Bài CZ phát biểu đi dịch thuật à?
2026-11-08 14:11:04
0
huygiapvang
tiếnhuy :
thái tử chào
2026-11-08 12:15:41
0
luatsuw
cột nhà :
TTCK có cái j đâu mà cắp
2026-11-08 13:35:51
1
mr.dnd0809
băng qua cảnh xấu :
mấy cái bài tấn công bằng gửi bài kiểm tra nó cũ xưa rồi mà đến giờ vẫn có ng bị nhỉ
2026-11-08 15:25:59
0
nguyenhuynhngocminh
Nguyễn Ngọc Minh :
nói lại cái mà ai cũng nói đc thì làm chủ tịch ai ko làm đc. Đừng nói, làm đi
2026-11-08 16:27:49
0
zui.doi.zocung.123
Zui đời zô cùng @@@ :
Có NHNN bảo kê ko sợ
2026-11-08 15:59:00
0
win.3883
WIN WIN :
AI....CHUÂN BỊ LEN LỎI LẤY HẾT GIỮ LUỆU ....
2026-11-08 15:02:49
0
kimcoi86
CÁ CHIM TRẮNG :
không quá 60 ngày sàn việt sập
2026-11-09 01:12:18
0
To see more videos from user @moneyxvn, please go to the Tikwm homepage.

Other Videos

Membalas @It's Me Dewy 🌹🇮🇩
Membalas @It's Me Dewy 🌹🇮🇩


Test độ dẻo dai bám đường của lốp xe IRC Tire #lopxe #lopxemay #irctire #ircvietnam #xuhuong
Test độ dẻo dai bám đường của lốp xe IRC Tire #lopxe #lopxemay #irctire #ircvietnam #xuhuong
#relationships #dating #Love #relationshipadvice #relationshiptips
#relationships #dating #Love #relationshipadvice #relationshiptips
Akhirnya New Collection hadir di Offline Store dan Website, yuk ajak bestiemu🩵 #PercayaDiriDenganNabillasyal #ByeByeJarumPentul #TheBestieCollection #LifeLooksBrighterTogether #HijabBandana
Akhirnya New Collection hadir di Offline Store dan Website, yuk ajak bestiemu🩵 #PercayaDiriDenganNabillasyal #ByeByeJarumPentul #TheBestieCollection #LifeLooksBrighterTogether #HijabBandana
➡️ Quantitative Finance from Scratch, part 17: the Monte Carlo simulation. The future is uncertain, so a Monte Carlo simulation makes many random assumptions about it. Every run draws another scenario, every scenario becomes a path, and from all the paths you read off what matters: the typical outcome, a good case, a bad case and the chance of a loss. Our example is simulated with assumed numbers: $10,000 over 30 years, an average return of 8% a year and swings of 20% a year, each year's growth drawn from a bell curve. 10,000 runs give 10,000 possible futures: Typical (the median): $60,814 Bad case: 1 in 10 ends below $14,636 Good case: 1 in 10 ends above $246,456 Chance of a loss after 30 years: 5% (500 of 10,000 paths) Average: $111,469, above the median because a few lucky paths pull it up (volatility drag, part 9) More runs give more precise numbers, with the square root rule from part 3: 100 times the runs, 10 times the precision. Where it is used: the Basel market risk rules let supervisors permit bank risk models based on Monte Carlo simulation. It is also used to value complex options and for retirement modeling. Sources: N. Metropolis and S. Ulam,
➡️ Quantitative Finance from Scratch, part 17: the Monte Carlo simulation. The future is uncertain, so a Monte Carlo simulation makes many random assumptions about it. Every run draws another scenario, every scenario becomes a path, and from all the paths you read off what matters: the typical outcome, a good case, a bad case and the chance of a loss. Our example is simulated with assumed numbers: $10,000 over 30 years, an average return of 8% a year and swings of 20% a year, each year's growth drawn from a bell curve. 10,000 runs give 10,000 possible futures: Typical (the median): $60,814 Bad case: 1 in 10 ends below $14,636 Good case: 1 in 10 ends above $246,456 Chance of a loss after 30 years: 5% (500 of 10,000 paths) Average: $111,469, above the median because a few lucky paths pull it up (volatility drag, part 9) More runs give more precise numbers, with the square root rule from part 3: 100 times the runs, 10 times the precision. Where it is used: the Basel market risk rules let supervisors permit bank risk models based on Monte Carlo simulation. It is also used to value complex options and for retirement modeling. Sources: N. Metropolis and S. Ulam, "The Monte Carlo Method", Journal of the American Statistical Association 44(247), pages 335 to 341 (1949). N. Metropolis, "The Beginning of the Monte Carlo Method", Los Alamos Science, Special Issue 1987, pages 125 to 130. This video is for education only, and nothing in it is financial advice. #quantfinance #montecarlo #simulation #finance #python

About

Legal