# What do the numbers in the Ising sampleset mean?

I am trying to create a portfolio optimization with the DWave Quantum Computer. I wrote some code trying to somehow reconstruct the following Ising model paper:

Ai is the maximum amount of money that can be invested in the i-th asset. B is the total budget. Ri denote the random variable representing the return from asset i.

This is how I tried to code it:

    import datetime
import pandas as pd
import fix_yahoo_finance as yf
import numpy as np
import neal
import dimod
from dwave.system import DWaveSampler
import random
import hybrid

def cov(a,b):
return a.cov(b)

def hi(price, returns, cov):
#mean price
Ai = np.mean(price)

#mean expected return
E = np.mean(returns)

# hi = -(1/2)((1/3)*cov(Ri,Rj) + (1/3)Ai^2 - (1/3)E(Ri) - 2B(1/3)*Ai)
h = (-(1/2)*((1/3)*cov + (1/3)* (Ai ** 2) - (1/3)* E - 2*100*(1/3)*Ai))
return h

yf.pdr_override()

start = datetime.datetime(2018,1,3)
end = datetime.datetime(2021,1,1)
all_data = {ticker: web.get_data_yahoo(ticker,start,end)
for ticker in ['AAPL','IBM','MSFT','GOOGL']}    #Note: GOOG has become GOOGL
for ticker,data in all_data.items()})
volume = pd.DataFrame({ticker:data['Volume']
for ticker,data in all_data.items()})
returns = price.pct_change()      #calculate the percentage of the price

returns = returns.dropna()

print(returns.tail())

a = cov(returns['AAPL'], returns['IBM'])
b = cov(returns['IBM'], returns['MSFT'])
c = cov(returns['MSFT'], returns['GOOGL'])
d = cov(returns['GOOGL'], returns['AAPL'])

apple = hi(price['AAPL'],returns['AAPL'], a)
ibm = hi(price['IBM'],returns['IBM'], b)
microsoft = hi(price['MSFT'],returns['MSFT'], c)

sampler = neal.SimulatedAnnealingSampler()

#qpu = DWaveSampler()

h = {apple: 0.0, ibm: 0.0, microsoft: 0.0, google: 0.0}
#energy changes when bias value changes
J = {(apple, ibm): 0.0, (ibm, microsoft): 0.0, (google, apple): 0.0, (apple, microsoft): 0.0, (ibm, google): 0.0}
sampleset = sampler.sample_ising(h, J, num_reads=10, annealing_time=2000)
print(sampleset)


And this is the output sampleset:

I was wondering what the numbers on top meant, so the -224463.77916595488 1414.5773363996423 etc. and if this is correct