import sys
sys.path.insert(0, '..')
# Import stocker:
import stocker
# Main:
if __name__ == "__main__":
# Let's save in a combination of stocks and bonds for retirement. Weight the
# initial portfolio towards 100% stocks for 15 years, weighted 70% US and
# 30% international. We will contribute 15000 annually with a 2% increase
# in that contribution annually. Assume the default inflation rate of 3.5%.
all_stocks_portfolio = stocker.Portfolio(
name="Stocks", \
value=0.0, \
positions=[stocker.US_Stocks(), stocker.International_Stocks()], \
weights=[7, 3]
)
all_stocks_phase = stocker.Scenario(
name="Initial Accumulation", \
portfolio=all_stocks_portfolio, \
num_years=15, \
annual_contribution=16000, \
annual_contribution_increase_perc=2.0
)
# The next phase of our retirement accumulation will start at 100% stocks
# but gradually transition to a 50/50 stocks/bonds portfolio by retirement.
# This phase consists of 20 years more accumulation, with an annual contribution
# of 20k, increasing 2% each year.
end_weights = [7, 3, 7, 3]
# Include the directory up in the path:
import sys
sys.path.insert(0, '..')
# Import stocker:
import stocker
# Main:
if __name__ == "__main__":
# Define a retirement portfolio with a 60/40 split between US stocks and US
# bonds.
stocks_and_bonds_portfolio = stocker.Portfolio(
name="Retirement Savings", \
value=250000, \
positions=[stocker.US_Stocks(), stocker.US_Bonds()], \
weights=[6, 4]
)
print(str(stocks_and_bonds_portfolio))
# Define a retirement savings scenario that lasts for 30 years. We will
# contribute 10K annually, increasing our svings amount by 2% every year.
retirement_scenario = stocker.Scenario(
name="Retirement Accumulation", \
portfolio=stocks_and_bonds_portfolio, \
num_years=30, \
annual_contribution=20000, \
annual_contribution_increase_perc=2.0, \
)
# Run the savings scenario once and print and plot the results:
#!/usr/bin/env python3
# Include the directory up in the path:
import sys
sys.path.insert(0, '..')
# Import stocker:
import stocker
# Main:
if __name__ == "__main__":
# Define a portfolio that contains a mixed variety of stocks, bonds, alternatives, and cash with a value of 10k:
sample_portfolio = stocker.Portfolio(
name="Sample", \
value=10000.0, \
positions=[stocker.US_Stocks(), stocker.International_Stocks(), stocker.US_Bonds(), stocker.International_Bonds(), stocker.Alternatives(), stocker.Cash()], \
weights=[30, 15, 20, 10, 5, 1] \
)
# Create a savings scenario where we compound the interest on this portfolio for 15 years, with no annual additions:
savings = stocker.Scenario(name="Savings",
portfolio=sample_portfolio,
num_years=15)
# Run the savings scenario once and print and plot the results:
savings.run()
print(savings.results())
savings.plot(smooth=False)
# Run a monte carlo simulation of this scenario with 400 iterations:
mc = stocker.Monte_Carlo(savings)
sys.path.insert(0, '..')
# Import stocker:
import stocker
# Main:
if __name__ == "__main__":
# Let's save in a combination of US stocks and US bonds for college. Weight the
# initial portfolio towards 100% stocks, but gradually transition to 100% bonds
# over the coarse of the savings period. We can seed the portfolio with $5000.
positions = [stocker.US_Stocks(), stocker.US_Bonds()]
start_weights = [1, 0]
end_weights = [0, 1]
college_529_portfolio = stocker.Portfolio(name="529",
value=5000.0,
positions=positions,
weights=start_weights)
# Create the college savings scenario where we compound the interest on this portfolio
# for 18 years, adding $2500 annually. Assume an inflation rate of 2.5%
college_savings = stocker.Scenario(name="College",
portfolio=college_529_portfolio,
num_years=18,
annual_contribution=2500,
inflation_rate_perc=2.5,
end_weights=end_weights)
# Run the savings scenario once and print and plot the results:
college_savings.run()
print(college_savings.results())
college_savings.plot(smooth=False)