Stock Tracker Program | Python Fiddle

class stock:
    def __init__(self,name,beta,eps):
        self.name = name
        self.beta = beta
        self.eps = eps
    def price_change(self,price):
        self.price = price
        self.p_e = self.price/self.eps
        self.pe = self.price/self.eps
    def shares_owned(self,num):
        self.sh_owned = num
    def make_sale(self,num):
        self.sh_owned+=num
    def print_stat(self):
        print(self.name+"'s last recorded price is "+str(self.price)+", you own "+str(self.sh_owned)+" shares, and the price to earnings ratio is: " + str(self.p_e) )

class portfolio:
    def __init__(self,stock1,stock6,stock2,stock3,stock4,stock5):
        self.stock1 = stock1
        self.stock2 = stock2
        self.stock3 = stock3
        self.stock4 = stock4
        self.stock5 = stock5
        self.stock6 = stock6
        collection = [self.stock1,self.stock2,self.stock3,self.stock4,self.stock5,self.stock6]
        self.short_val = 0
        self.short_beta = 0
        s_count=0 
        l_count=0
        self.long_beta = 0
        self.long_val = 0 
        for s in collection:
            if s.sh_owned<0:
        		self.short_val+=s.sh_owned*s.price; 
                	self.short_beta+=s.sh_owned*s.beta; 
                	s_count-=s.sh_owned
            if s.sh_owned>0:
                self.long_val+=s.sh_owned*s.price;
                self.long_beta += s.sh_owned*s.beta;
                l_count+=s.sh_owned
        self.short_beta/=s_count
        self.long_beta/=l_count
        
                
            
        
    	self.portfolio_val = self.stock6.price*self.stock6.sh_owned+self.stock1.price*self.stock1.sh_owned + self.stock2.price*self.stock2.sh_owned + self.stock3.price*self.stock3.sh_owned + self.stock4.price*self.stock4.sh_owned + self.stock5.price*self.stock5.sh_owned
    	self.portfolio_beta = (self.stock1.beta*self.stock1.price*self.stock1.sh_owned+self.stock2.beta*self.stock2.price*self.stock2.sh_owned+self.stock3.beta*self.stock3.price*self.stock3.sh_owned+self.stock4.beta*self.stock4.price*self.stock4.sh_owned+self.stock5.beta*self.stock5.price*self.stock5.sh_owned+self.stock6.beta*self.stock6.price*self.stock6.sh_owned)/self.portfolio_val
    def print_stat(self):
        print("Portfolio value is: "+str(self.portfolio_val)+", long value is " +str(self.long_val) + " and short value is " +str(self.short_val))
        print("Portfolio long beta is: "+ str(self.long_beta)+", short beta is " +str(self.short_beta))
        
        
JPM = stock("JP Morgan", 1.65,4.36)
JPM.price_change(57.29)
JPM.shares_owned(-8)

GM = stock("General Motors", 1.73,2.38)
GM.price_change(36.10)
GM.shares_owned(20)

WM = stock("Waste Management", .70, .20)
WM.price_change(41.22)
WM.shares_owned(15)

AIG = stock("AIG",3.38,6.08)
AIG.price_change(49.5)
AIG.shares_owned(-15)

ABX = stock("Barrick Gold",.47,-9.63)
ABX.price_change(20.26)
ABX.shares_owned(30)
ABX.make_sale(30)

FCSMF = stock("Focus Graphite",1,-.03)
FCSMF.price_change(.470)
FCSMF.shares_owned(300)

feb_port = portfolio(JPM,GM,WM,AIG,ABX,FCSMF)
#initially included Boeing, but it sucked so I sold it.  Obviously, There is going to be a new market correction

feb_port.print_stat()
JPM.print_stat()
AIG.print_stat()

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