import random #Stock_Market class Stock_Market(): def __init__(self): #Hard Coded Names short_names = ['IBM', 'RCA', 'LBJ', 'ABC', 'CBS'] full_names = ['INT. BALLISTIC MISSLES', 'RED CROSS OF AMERICA', 'LICHTENSTEIN, BUMRAP & JOKE', 'AMERICAN BANKRUPT CO.', 'CENSURED BOOKS STORE'] #Initializing Dictionary to hold all the information systematically self.data = {} for sn, fn in zip(short_names, full_names): #A dictionary for each stock temp = {'Name' : fn, 'Price' : None, 'Holdings' : 0} #Nested outer dictionary for all stocks self.data[sn] = temp #Initializing Randomly generated initial prices for stock in self.data.values(): stock['Price'] = round(random.uniform(80,120),2) #Price b/w 60 and 120 #Initialize Assets self.cash_assets = 10000 self.stock_assets = 0 def total_assets(self): return self.cash_assets + self.stock_assets def _generate_day_change(self): self.changes = [] for _ in range(len(self.data)): self.changes.append(round(random.uniform(-5,5),2)) #Random % Change b/w -5 and 5 def update_prices(self): self._generate_day_change() for stock, change in zip(self.data.values(), self.changes): stock['Price'] = round(stock['Price'] + (change/100)*stock['Price'], 2) def print_exchange_average(self): sum = 0 for stock in self.data.values(): sum += stock['Price'] print('\nNEW YORK STOCK EXCHANGE AVERAGE: ${:.2f}'.format(sum/5)) def get_average_change(self): sum = 0 for change in self.changes: sum += change return round(sum/5,2) def print_first_day(self): print('\nSTOCK\t\t\t\t\tINITIALS\tPRICE/SHARE($)') for stock, data in self.data.items(): if stock != 'LBJ': print('{}\t\t\t{}\t\t{}'.format(data['Name'], stock, data['Price'])) else: print('{}\t\t{}\t\t{}'.format(data['Name'], stock, data['Price'])) self.print_exchange_average() self.print_assets() def take_inputs(self): print('\nWHAT IS YOUR TRANSACTION IN') flag = False while flag != True: new_holdings = [] for stock in self.data.keys(): try: new_holdings.append(int(input('{}? '.format(stock)))) except: print('\nINVALID ENTRY, TRY AGAIN\n') break if len(new_holdings) == 5: flag = self._check_transaction(new_holdings) return new_holdings def print_trading_day(self): print("STOCK\tPRICE/SHARE\tHOLDINGS\tNET. Value\tPRICE CHANGE") for stock, data, change in zip(self.data.keys(), self.data.values(),self.changes): value = data['Price'] * data['Holdings'] print('{}\t{}\t\t{}\t\t{:.2f}\t\t{}'.format(stock, data['Price'], data['Holdings'], value, change)) def update_cash_assets(self, new_holdings): sell=0 buy=0 for stock, holding in zip(self.data.values(), new_holdings): if holding > 0: buy += stock['Price']*holding elif holding < 0: sell += stock['Price']*abs(holding) self.cash_assets = self.cash_assets + sell - buy def update_stock_assets(self): sum=0 for data in self.data.values(): sum += data['Price']*data['Holdings'] self.stock_assets = round(sum,2) def print_assets(self): print('\nTOTAL STOCK ASSETS ARE: ${:.2f}'.format(self.stock_assets)) print('TOTAL CASH ASSETS ARE: ${:.2f}'.format(self.cash_assets)) print('TOTAL ASSETS ARE: ${:.2f}'.format(self.total_assets())) def _check_transaction(self, new_holdings): sum = 0 for stock, holding in zip(self.data.values(), new_holdings): if holding > 0: sum += stock['Price']*holding elif holding < 0: if abs(holding) > stock['Holdings']: print('\nYOU HAVE OVERSOLD SOME STOCKS, TRY AGAIN\n') return False if sum > self.cash_assets: print('\nYOU HAVE USED ${:.2f} MORE THAN YOU HAVE, TRY AGAIN\n'.format(sum - self.cash_assets)) return False return True def update_holdings(self, new_holdings): for stock, new_holding in zip(self.data.values(), new_holdings): stock['Holdings'] += new_holding def print_instruction(): print(''' THIS PROGRAM PLAYS THE STOCK MARKET. YOU WILL BE GIVEN $10,000 AND MAY BUY OR SELL STOCKS. THE STOCK PRICES WILL BE GENERATED RANDOMLY AND THEREFORE THIS MODEL DOES NOT REPRESENT EXACTLY WHAT HAPPENS ON THE EXCHANGE. A TABLE OF AVAILABLE STOCKS, THEIR PRICES, AND THE NUMBER OF SHARES IN YOUR PORTFOLIO WILL BE PRINTED. FOLLOWING THIS, THE INITIALS OF EACH STOCK WILL BE PRINTED WITH A QUESTION MARK. HERE YOU INDICATE A TRANSACTION. TO BUY A STOCK TYPE +NNN, TO SELL A STOCK TYPE -NNN, WHERE NNN IS THE NUMBER OF SHARES. A BROKERAGE FEE OF 1% WILL BE CHARGED ON ALL TRANSACTIONS. NOTE THAT IF A STOCK'S VALUE DROPS TO ZERO IT MAY REBOUND TO A POSITIVE VALUE AGAIN. YOU HAVE $10,000 TO INVEST. USE INTEGERS FOR ALL YOUR INPUTS. (NOTE: TO GET A 'FEEL' FOR THE MARKET RUN FOR AT LEAST 10 DAYS) ------------GOOD LUCK!------------\n ''') if __name__ == "__main__": print('\t\t STOCK MARKET') help = input('\nDO YOU WANT INSTRUCTIONS(YES OR NO)? ') #Printing Instruction if help == 'YES' or help == 'yes' or help == 'Yes': print_instruction() #Initialize Game Game = Stock_Market() #Do first day Game.print_first_day() new_holdings = Game.take_inputs() Game.update_holdings(new_holdings) Game.update_cash_assets(new_holdings) print('\n------------END OF TRADING DAY--------------\n') response = 1 while response == 1: #Simulate a DAY Game.update_prices() Game.print_trading_day() Game.print_exchange_average() Game.update_stock_assets() Game.print_assets() response = int(input('\nDO YOU WISH TO CONTINUE (YES-TYPE 1, NO-TYPE 0)? ')) if response == 0: break new_holdings = Game.take_inputs() Game.update_holdings(new_holdings) Game.update_cash_assets(new_holdings) print('\n------------END OF TRADING DAY--------------\n') print('\nHOPE YOU HAD FUN!!!!') input('')