def forecast_price(stock_symbol):
    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]

    if stock_symbol == 'BAC':
        stock_array_mini = BAC[:-1]
        stock_array_full= BAC
    elif stock_symbol == 'T' :
        stock_array_mini = T[:-1]
        stock_array_full = T
    elif stock_symbol == 'GE' :
        stock_array_mini = GE[:-1]
        stock_array_full = GE
    elif stock_symbol == 'TWTR':
        stock_array_mini = TWTR[:-1]
        stock_array_full = TWTR
    elif stock_symbol == 'C' :
        stock_array_mini = C[:-1]
        stock_array_full = C
    elif stock_symbol == 'ORCL' :
        stock_array_mini = ORCL[:-1]
        stock_array_full = ORCL
    elif stock_symbol == 'JPM' :
        stock_array_mini = JPM[:-1]
        stock_array_full = JPM
    elif stock_symbol == 'PFE' :
        stock_array_mini = PFE[:-1]
        stock_array_full = PFE
    elif stock_symbol == 'BABA' :
        stock_array_mini = BABA[:-1]
        stock_array_full = BABA
    elif stock_symbol == 'AAPL' :
        stock_array_mini = AAPL[:-1]
        stock_array_full = AAPL
    elif stock_symbol == 'MSFT':
        stock_array_mini = MSFT[:-1]
        stock_array_full = MSFT
    elif stock_symbol == 'INTC':
        stock_array_mini = INTC[:-1]
        stock_array_full = INTC
    elif stock_symbol == 'F':
        stock_array_mini = F[:-1]
        stock_array_full = F
    elif stock_symbol == 'EBAY':
        stock_array_mini = EBAY[:-1]
        stock_array_full = EBAY
    elif stock_symbol == 'AMZN':
        stock_array_mini = AMZN[:-1]
        stock_array_full = AMZN
    elif stock_symbol == 'GOOGL':
        stock_array_mini = GOOGL[:-1]
        stock_array_full = GOOGL
    print ('the price of this stock in the beginning of last month was ${}'.format(stock_array_full[-1]))

    first_mean =float(sum(stock_array_mini)/max(len(stock_array_mini),1))

    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
    if z<1 or z<-1: print('high confidence')
    elif z<2.25 or z<-2.25: print('mid confidence')
    elif z<3 or z<-3: print('mid-low confidence')
    else:print('low confidence')



    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

        if final > stock_array_full[-1]:
            print('buy stock')
        else: print('sell stock')
        break
    return round(final,2)



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))))