import numpy as np # Given current stock price current_price = 163.02 # Simulate future stock prices num_samples = 1000  # You can adjust this number based on your needs growth_rate_samples = np.random.lognormal(mean=-0.8404, sigma=2.5, size=num_samples) future_prices = current_price * np.exp(growth_rate_samples) # Print or visualize the simulated future prices print(future_prices)   i cant get an answer , im keeping errors

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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import numpy as np

# Given current stock price
current_price = 163.02

# Simulate future stock prices
num_samples = 1000  # You can adjust this number based on your needs
growth_rate_samples = np.random.lognormal(mean=-0.8404, sigma=2.5, size=num_samples)
future_prices = current_price * np.exp(growth_rate_samples)

# Print or visualize the simulated future prices
print(future_prices)

 

i cant get an answer , im keeping errors

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