import numpy as np
import matplotlib.pyplot as plt
# The red curve represents the function f(x) = 1.01^x
# The blue curve represents the function g(x) = 0.99^x * 1000

# Let's define the x range based on the image observation
x = np.linspace(0, 700, 400)

# Now we define the functions
f_x = 1.01**x
g_x = 0.99**x * 1000

# Plotting the functions
plt.figure(figsize=(10, 6))

# Plot each function
plt.plot(x, f_x, 'r-', label='1.01^x')  # Red curve
plt.plot(x, g_x, 'b-', label='0.99^x * 1000')  # Blue curve

# Adding legend
plt.legend()

# Display the plot
plt.xlabel('x')
plt.ylabel('y')
plt.suptitle('The Power of Compound Changes', fontsize=16)
plt.title('Exponential Growth Meets Exponential Decay', fontsize=10)
plt.grid(False)
plt.show()