Sample course to be created to familiarise.
This is some text about a video which has appeared above.
Here is an equation :
Below is some code which we can talk about:
import scipy . stats import numpy as np K = 90; T = 10.0 r = 0.01; sigma = 0.03 spot = 100.0 Z = scipy . stats . norm () d1 = 1.0/( sigma *np. sqrt (T)) * (np.log ( spot /K) + (r +0.5* sigma **2)* T) d2 = d1 - sigma *np. sqrt (T) print (K*np.exp (-r*T)*Z.cdf (-d2) - spot *Z.cdf (-d1 ))