import numpy as np

starting_value = 100.
iterations = 100
hedge_value = .7

current_val = starting_value
hedged_val = starting_value
for x in range(iterations):
    gain_or_loss = np.random.uniform(-.1, .1)
    current_val = current_val + (current_val * gain_or_loss)
    hedged_val = hedged_val + (hedged_val * gain_or_loss * hedge_value)

print 'Final values:'
print 'Unhedged: \t%.4f' % current_val
print 'Hedged: \t%.4f' % hedged_val