def forecast_price(stock_symbol):
#list of all prices for the recent month's
BAC = [29.9, 32.5, 31.48, 29.31, 29.95, 29.4, 28.28]
T = [37.65, 39.16, 36, 35.1, 32.54, 32.47, 32.21]
GE = [17.98, 16.02, 14.02, 13.12, 14.05, 14.1, 13.37]
F = [12.66, 10.92, 10.29, 10.86, 11.26, 11.71, 11.1]
TWTR = [24.51, 27.14, 32.24, 28.04, 30.3, 36.65, 44.98]
C = [74.36, 79.2, 73.66, 67.71, 68.25, 67.28, 67.16]
ORCL = [46.63, 51.63, 49.71, 45.01, 45.95, 47.35, 44.95]
JPM = [107.95, 116.87, 113.43, 107.85, 108.78, 108.4, 105.08]
PFE = [36.44, 36.83, 35.63, 35.05, 35.4, 36.25, 36.33]
BABA = [183.65, 192.22, 181.99, 177.61, 179.5, 204.34, 186.36]
AAPL=[172.26,167.78,175,166.68,169.1,190.24,187.18]
MSFT = [85.95, 94.26, 92.85, 88.52, 95, 100.79, 100.01]
INTC= [46.85,47.65,47.84,48.92,53.33,57.08,50.20]
F=[12.66,10.92,10.29,10.86,11.26,11.71,11.10]
EBAY=[38.06,46.40,42.27,39.36,37.83,38.34,36.67]
AMZN=[1189.01,1390,1493.45,1371.99,1582.26,1641.54,1713.78]
GOOGL= [1073.21,1181.59,1071.41,1012.63,1040.75,1135,1142.11]
a=0
mae=0
# function selection
if stock_symbol == 'BAC':
stock_array_mini = BAC[:-1]
stock_array_full= BAC
a = 0.3
elif stock_symbol == 'T' :
stock_array_mini = T[:-1]
stock_array_full = T
a = 0.45
elif stock_symbol == 'GE' :
stock_array_mini = GE[:-1]
stock_array_full = GE
a=0.4
elif stock_symbol == 'TWTR':
stock_array_mini = TWTR[:-1]
stock_array_full = TWTR
a=0.8
elif stock_symbol == 'C' :
stock_array_mini = C[:-1]
stock_array_full = C
a=0.8
elif stock_symbol == 'ORCL' :
stock_array_mini = ORCL[:-1]
stock_array_full = ORCL
a=0.5
elif stock_symbol == 'JPM' :
stock_array_mini = JPM[:-1]
stock_array_full = JPM
a=0.6
elif stock_symbol == 'PFE' :
stock_array_mini = PFE[:-1]
stock_array_full = PFE
a=0.25
elif stock_symbol == 'BABA' :
stock_array_mini = BABA[:-1]
stock_array_full = BABA
a=0.85
elif stock_symbol == 'AAPL' :
stock_array_mini = AAPL[:-1]
stock_array_full = AAPL
a=0.75
elif stock_symbol == 'MSFT':
stock_array_mini = MSFT[:-1]
stock_array_full = MSFT
a=0.82
elif stock_symbol == 'INTC':
stock_array_mini = INTC[:-1]
stock_array_full = INTC
a=0.5
elif stock_symbol == 'F':
stock_array_mini = F[:-1]
stock_array_full = F
a=0.25
elif stock_symbol == 'EBAY':
stock_array_mini = EBAY[:-1]
stock_array_full = EBAY
a=0.35
elif stock_symbol == 'AMZN':
stock_array_mini = AMZN[:-1]
stock_array_full = AMZN
a=0.9
elif stock_symbol == 'GOOGL':
stock_array_mini = GOOGL[:-1]
stock_array_full = GOOGL
a=0.86
print ('the price of this stock in the beginning of last month was ${}'.format(stock_array_full[-1]))
#smoothing technique
smoothing_2=stock_array_full[0]
smoothing_3=a*stock_array_full[1]+(1-a)*smoothing_2
smoothing_4=a*stock_array_full[2]+(1-a)*smoothing_3
smoothing_5=a*stock_array_full[3]+(1-a)*smoothing_4
smoothing_6=a*stock_array_full[4]+(1-a)*smoothing_5
smoothing_7=a*stock_array_full[5]+(1-a)*smoothing_6
smoothing_8=a*stock_array_full[6]+(1-a)*smoothing_7
x=len(stock_array_full)
x_1=x*stock_array_full[-1]
x_2 = (x-1) * stock_array_full[-2]
x_3 = (x-2) * stock_array_full[-3]
x_4 = (x-3) * stock_array_full[-4]
x_5 = (x-4) * stock_array_full[-5]
x_6 = (x-5) * stock_array_full[-6]
x_7 = (x-6) * stock_array_full[-7]
#moving averages
masum=(x_1+x_2+x_3+x_4+x_5+x_6+x_7)
madivide=(x)+(x-1)+(x-2)+(x-3)+(x-4)+(x-5)+(x-6)
ma =masum/madivide
# print("moving average is",ma)
first_mean =float(sum(stock_array_mini)/max(len(stock_array_mini),1))
#z_score_algo
first_var =[(num-first_mean)**2 for num in stock_array_mini]
for num in first_var:
var_sum=sum(first_var)
mean_std= (var_sum/len(stock_array_mini))
final_std=mean_std**.5
z=(stock_array_mini[-1]-first_mean)/final_std
mean2=float(sum(stock_array_full))/max(len(stock_array_full),1)
secondvar =[(num-mean2)**2 for num in stock_array_full]
for num in secondvar:
var_sum2=sum(secondvar)
mean_std2= (var_sum2/len(stock_array_full))
finalstd2=mean_std2**.5
final = (z * finalstd2) + mean2
#print_conditional
if z < 1 or z>-1:
print ("The stock price around the beginning of next month will be ${} ".format(round(final,2)))
if final>stock_array_full[-1]:
print("buy the stock")
else:
print("sell the stock")
elif z < 2.2 or z>2.2:
ze = (final + smoothing_8) / 2
if ze>stock_array_full[-1]:
print("buy the stock")
else:
print("sell the stock")
print ("The stock price around the beginning of next month would be ${} ".format(round(ze,2)))
else:
mae = (smoothing_8+ma)/2
if mae>stock_array_full[-1]:
print("buy the stock")
else:
print("sell the stock")
print ("The stock price around the beginning of next month would be ${} ".format(round(mae,2)))
break
x = input("which stock's price next month would you like this program to predict BAC, T, GE, F, TWTR, C, ORCL, JPM, PFE, BABA, AAPL, MSFT, INTC, F, EBAY, AMZN, GOOGL in single quotes")
print ("{}".format((forecast_price(x))))
x = input("which stock's price next month would you like this program to predict BAC, T, GE, F, TWTR, C, ORCL, JPM, PFE, BABA, AAPL, MSFT, INTC, F, EBAY, AMZN, GOOGL in single quotes")
print ("Stock price around the start of August will be ${}".format((forecast_price(x))))
