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.
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