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import random

doors = ['Goat', 'Car', 'Goat']

n = 1000
win = 0
lose = 0
for _ in range(n):
    
    #-------------------------#

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ycytai

import scipy.stats as st
import numpy as np


def black_scholes_pricing_model(
    option_type: str, 
    s: float, 
    k: float, 
    r: float, 
    v: float, 

ycytai

def dollar_averaging(df, trade_date, trade_amount, f_or_b = 'f'):
    
    '''
    Input:
    1. df (dataframe)
        ---> Datetime object should be set as index

    2. trade_date (int)
        ---> determine which date to invest