Simulating future stock prices using Monte Carlo methods

Simulating future stock prices using Monte Carlo methods
Data Analysis Python Pandas Data Manipulation Monte Carlo Simulation External Dataset

Using Monte Carlo methods, simulate future stock price outcomes for Apple ($AAPL) using Python. You can read more about Monte Carlo simulation (in a finance context) here.

Below is code using Python to grab the initial stock price data for Apple, to help get you started:

# Import required libraries
import math
import matplotlib.pyplot as plt
import numpy as np
from pandas_datareader import data
apple = data.DataReader('AAPL', 'yahoo',start='1/1/2009')
apple.head()
High Low Open Close Volume Adj Close
Date
2009-01-02 13.005714 12.165714 12.268572 12.964286 186503800.0 11.357091
2009-01-05 13.740000 13.244286 13.310000 13.511429 295402100.0 11.836406
2009-01-06 13.881429 13.198571 13.707143 13.288571 322327600.0 11.641174
2009-01-07 13.214286 12.894286 13.115714 13.001429 188262200.0 11.389630
2009-01-08 13.307143 12.862857 12.918571 13.242857 168375200.0 11.601127

Solution will be written in Python for premium users.

Click here to view this problem in an interactive Colab (Jupyter) notebook.





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