@anastasiafelicitas: I love creatures big & small

anastasiafelicitas

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Region: CA

Saturday 12 September 2026 21:33:31 GMT

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Comments

mian tariq :

you love cat

2026-09-30 14:21:34

0

Aamir :

Gorgeous and so cute baby 💞💞💞💞💞💞💞💞💞💞💞

2026-09-30 13:56:16

0

Roman Roman :

so pretty

2026-09-30 07:10:40

0

Malik :

Beauty Queen 👑

2026-09-29 04:08:12

0

bj boxer :

i am a boxer 🥊

2026-09-30 09:30:31

0

safe mate :

You looks great

2026-09-29 05:36:30

0

𓅓❥︎🇸 🏴󠁧󠁢󠁥󠁮󠁧󠁿 🇭 ❤︎𓅓 :

wow you are so beautiful ❤️

2026-09-12 21:36:01

2

🐯 atiq gujjar 🐯 :

Wow you ar so beautiful babi from pakistan

2026-09-30 15:11:43

0

🅜🅡.🅚🅗🅐🅝🥀 :

both of so cute but U too much 🥰💯

2026-09-13 14:55:57

4

kukubutt :

oh I love cats I have one 🥰🥰🥰🥰👍❤️

2026-09-14 00:29:30

2

official shahruk khan :

You are my dream girl, I never want to lose you, I want to keep you with me forever.

2026-09-14 13:48:23

1

LinaVibes 🇩🇪👸 :

Hi from Germany 🇩🇪

2026-09-14 17:14:31

3

Chauhan pb 39 :

so pretty

2026-09-13 13:11:56

2

MD Mithon :

wow, you looking so beautiful ❤️

2026-09-13 13:04:28

2

Fernando Pereira :

a

2026-09-29 03:01:54

1

🤫🤔Silent Boy 🔕😶 :

you are really very pretty and cute and beautiful ❤️❤️🥰

2026-09-13 07:24:51

2

Dark :

I love you.

2026-09-14 05:30:17

2

user9711015798967 :

Very very Beautiful sweet

2026-09-13 15:25:49

2

꧁꧅ ابوسعیدعاجز ꧅꧂ :

yo

2026-09-13 07:10:10

3

Asher bagh :

are you single

2026-09-14 11:55:51

1

Sohaib S :

Hi beautiful how are you ❤️☺️☺️

2026-09-14 02:15:22

2

user1904947591577 :

you are So Beautiful Queen 👑

2026-09-13 15:14:44

2

Munir Dada Khail Pukhtoon :

meow

2026-09-30 07:27:54

0

ACORSSIACORSSI :

MENINA LINDA MULHER. BEIJOS DESSE SEU AMIGO. ,ESSE GATO E MUITO BONITO TE GOSTO [Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente][Comovente]

2026-09-27 04:20:16

1

carlos moraga :

2026-09-20 01:24:14

1

To see more videos from user @anastasiafelicitas, please go to the Tikwm homepage.

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➡️ Quant Finance From Scratch, part 3: why risk grows with the square root of time, in 16 lines of Python you can follow line by line. Two questions guide the video: why is this rule so important in quantitative finance, and what does it mean for a stock? Step 1, a thousand prices. Each one moves $1 up or down per step, like a coin flip, for 400 steps. A few end up far away, and most stay surprisingly close to the start. Step 2, the spread. The standard deviation is the typical distance from the middle: about $5 after 25 steps, $10 after 100 and $20 after 400. Four times the steps give twice the spread. Step 3, why a square root. Ups and downs cancel each other out, while their squares only add up. That sum is the variance: 100 after 100 steps (99.6 in our run), and its square root is 10. That is the ten from the start: 73 % of the prices end within $10. Step 4, the drift from part 2. It grows in a straight line, the randomness only with the square root. From 25 to 4,000 steps the drift grew 160 times and the randomness about 13 times, so the share of prices below their start fell from 43 % to 4 %. Step 5, a stock. Say it moves 1 % up or down a day. A year of 252 trading days gives 1 % × √252 = 15.9 %, and 66 % of 20,000 simulated years ended inside that range. With a drift of 6.8 % a year, the chance to end above the start grows from 64 % after one year to 91 % after ten, in this simple model. Why quants care: the rule turns daily risk into yearly risk, and it sits inside every option price, because a later deadline leaves the price more room to move. This video is for education only, and nothing in it is financial advice. #quantfinance #finance #volatility #python #probability

➡️ Quant Finance From Scratch, part 3: why risk grows with the square root of time, in 16 lines of Python you can follow line by line. Two questions guide the video: why is this rule so important in quantitative finance, and what does it mean for a stock? Step 1, a thousand prices. Each one moves $1 up or down per step, like a coin flip, for 400 steps. A few end up far away, and most stay surprisingly close to the start. Step 2, the spread. The standard deviation is the typical distance from the middle: about $5 after 25 steps, $10 after 100 and $20 after 400. Four times the steps give twice the spread. Step 3, why a square root. Ups and downs cancel each other out, while their squares only add up. That sum is the variance: 100 after 100 steps (99.6 in our run), and its square root is 10. That is the ten from the start: 73 % of the prices end within $10. Step 4, the drift from part 2. It grows in a straight line, the randomness only with the square root. From 25 to 4,000 steps the drift grew 160 times and the randomness about 13 times, so the share of prices below their start fell from 43 % to 4 %. Step 5, a stock. Say it moves 1 % up or down a day. A year of 252 trading days gives 1 % × √252 = 15.9 %, and 66 % of 20,000 simulated years ended inside that range. With a drift of 6.8 % a year, the chance to end above the start grows from 64 % after one year to 91 % after ten, in this simple model. Why quants care: the rule turns daily risk into yearly risk, and it sits inside every option price, because a later deadline leaves the price more room to move. This video is for education only, and nothing in it is financial advice. #quantfinance #finance #volatility #python #probability

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