@blumpkinspinner64:

blumpkinspinner64
blumpkinspinner64
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Region: US
Sunday 25 October 2026 14:50:17 GMT
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pgfmooda
Li Jay23 :
oh we ready we going 10-2
2026-10-25 17:25:38
223
1800whatmatters
1800whatmatters :
What a real schedule looks like not that Ohio state and Miami bs games 😂
2026-10-25 20:07:52
391
straightouttaferriday
Squilliam :
1-2. Then Arkansas comes in with nothing to lose
2026-10-26 05:07:40
0
cbsawyer15
𝒞𝒶𝓁𝑒𝒷🙂‍↔️ :
As a Kentucky fan I hope LSU wins out to clear our path to the SEC championship lol
2026-10-25 21:49:34
11
starseed259
STAR SEED :
SEC has the toughest schedule hands down. #RTR
2026-10-25 17:43:19
123
johy105
Johy :
meanwhile somewhere in the big 10 they'll be playing Rutgers or wake Forest or some bullshit ass thing like that trying to protect their undefeated record
2026-10-25 17:39:14
21
mrfourskin
Mrfourskin :
Lsu winning out
2026-10-25 16:45:19
52
mrmister008
FBA Texan🖤🇺🇸 Mister :
incoming 🤘
2026-10-25 22:58:52
4
jeremy1016
Bubba Brown :
We winning out.
2026-10-25 18:57:55
10
jaybrown8107
Jay Brown8107 :
2-1 ending in 9-3 with a playoff bid
2026-10-26 04:26:44
0
jbrant1984
Jason :
The sec is gonna knock itselfs out of the playoffs, LSU wins the first 2 then loses to Tennessee, Tennessee beats Kentucky and LSU just to lose to A&M
2026-10-25 21:33:38
1
usernam242321
Userrrrrrrr :
I think LsU wins out only because Alabama and Texas are at home which gives the edge to them and they will have the momentum when they go into neyland
2026-10-26 00:57:43
0
ninogemz
Ninogemz :
I like to think we can win out, but how shi been going i’ll take 3-1 with a L to Tenn on the road… GEAUX TIGERS 🐯💜💛
2026-10-25 18:43:08
7
rustico49
Jude :
I would like to say Alabama struggled against Texas A&M sooo that’s pretty bad ngl
2026-10-25 19:41:25
2
thecajunericaamerica
💜💛🐅Erica⚜️🇺🇲America🐅💛💜 :
Gonna be a good few weeks. Geaux Tigers!
2026-10-26 02:26:26
0
shelovelimel
10k.mell :
i just need bama to win out
2026-10-26 01:26:12
1
mosley.95
Life.With.Marcus :
They’re not beating bama or Texas
2026-10-25 21:52:33
2
allengriffith1
Allen Griffith :
There's more 2-2 teams in the sec,it's anyone's.
2026-10-25 21:56:31
2
ravenisdabest
raven freeman :
I’m scared
2026-10-25 19:42:42
1
pastecreativenamehere
Typecreativenamehere :
And LSU is favored to win the rest of their games.
2026-10-25 22:40:00
1
hazegoincrazy
haze :
ngl lsu might win thus stretch out they have b2b home games at night in baton rouge
2026-10-25 19:28:41
1
blumpkinspinner64
blumpkinspinner64 :
lsu wins out and beats ohio state in the championship
2026-10-26 03:18:00
0
willhebert113
Heberrrt :
We going 3-0 in that stretch
2026-10-26 01:15:22
0
mike504nola1
Mike⚜️💛🖤💛⚜️ :
LSU
2026-10-26 00:59:05
0
treavie22
Datboitre27 :
Bama and Tennessee will beat lsu
2026-10-26 03:20:28
0
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➡️ Part 31 of Quantitative Finance From Scratch: implied volatility.  The Black-Scholes formula from part 30 needs five inputs. Four of them you can look up (stock price, strike, rate and time), but the fifth, the volatility over the life of the option, lies in the future. Traders form their own views, buy and sell options, and supply and demand set the price. Put that market price into the formula and solve it backwards for the volatility, and you get the implied volatility. Our test run (impliedvol.py, 16 lines of plain Python): stock 100, strike 100, rate 5 %, 1 year, and a call that costs 12 dollars on the market. The volatility sits in several places of the formula, so there is no way to solve for it by hand, but the price always rises with the volatility. A bisection search tries the middle of the range (50 %, 25 %, 12.5 % and so on) and halves the range each time. After 10 steps the price fits to half a cent, and the implied volatility is 24.1 %. Every strike and every expiry date has its own implied volatility. Together all these values form the implied volatility surface. Historical volatility, measured from past returns, serves as a comparison, and as the estimate when no options trade. Honest notes: the smile, the expiry curve and the 3D surface in the video are an illustration in the typical shape for index options, anchored at our test run, and contain no market data. The price paths and the past returns are simulated. Implied volatility shows how the market prices the expected swing, and the real swing can turn out larger or smaller. #quantfinance #impliedvolatility #options #blackscholes #finance
➡️ Part 31 of Quantitative Finance From Scratch: implied volatility. The Black-Scholes formula from part 30 needs five inputs. Four of them you can look up (stock price, strike, rate and time), but the fifth, the volatility over the life of the option, lies in the future. Traders form their own views, buy and sell options, and supply and demand set the price. Put that market price into the formula and solve it backwards for the volatility, and you get the implied volatility. Our test run (impliedvol.py, 16 lines of plain Python): stock 100, strike 100, rate 5 %, 1 year, and a call that costs 12 dollars on the market. The volatility sits in several places of the formula, so there is no way to solve for it by hand, but the price always rises with the volatility. A bisection search tries the middle of the range (50 %, 25 %, 12.5 % and so on) and halves the range each time. After 10 steps the price fits to half a cent, and the implied volatility is 24.1 %. Every strike and every expiry date has its own implied volatility. Together all these values form the implied volatility surface. Historical volatility, measured from past returns, serves as a comparison, and as the estimate when no options trade. Honest notes: the smile, the expiry curve and the 3D surface in the video are an illustration in the typical shape for index options, anchored at our test run, and contain no market data. The price paths and the past returns are simulated. Implied volatility shows how the market prices the expected swing, and the real swing can turn out larger or smaller. #quantfinance #impliedvolatility #options #blackscholes #finance

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