Beispiel #1
0
def create_company_simulation(simulation_id, stock_id):
    getcontext().prec = 4
    mu = 0.02
    sigma = 0.1
    simulation = Simulation.objects.get(pk=simulation_id)
    stock = Stock.objects.get(pk=stock_id)
    ticker = Ticker.objects.get(simulation=simulation)
    company = TickerCompany(ticker=ticker, stock=stock, symbol=stock.symbol, name="Company %s" % stock.symbol)
    company.save()
    rounds = ticker.nb_rounds + 1
    brownian_motion = geometric_brownian(rounds, mu, sigma, ticker.initial_value, rounds/(ticker.nb_days*rounds), stock_id)
    i = 0
    simulation_dividends = []
    simulation_net_income = []
    for sim_round in range(0, rounds):
        round_dividend = 0
        round_net_income = 0
        for sim_day in range(1, ticker.nb_days+1):
            # We have each round/day and the corresponding dividend
            daily_dividend = brownian_motion[i]
            daily_net_income = brownian_motion[i] / float(ticker.dividend_payoff_rate) * 100 * stock.quantity
            c = CompanyFinancial(company=company, daily_dividend=Decimal(daily_dividend), daily_net_income=Decimal(daily_net_income),
                                 sim_round=sim_round, sim_day=sim_day, sim_date=sim_round*100+sim_day)
            c.save()
            round_dividend += daily_dividend
            round_net_income += daily_net_income
            i += 1
        simulation_dividends.append(round_dividend)
        simulation_net_income.append(round_net_income)

    # Share price estimation
    G = simulation_dividends[-1]/simulation_dividends[-2]-1
    R = 0.15
    g = R
    drift = 0
    simulation_stock_price = []
    previous_company_income = None
    for sim_round in range(0, rounds):
        stock_price = np.npv(0.15, simulation_dividends[sim_round:rounds]) + (simulation_dividends[-1]*(1+g)/(R-G))/np.power(1+R, rounds-sim_round)
        simulation_stock_price.append(stock_price)
        if previous_company_income:
            drift = simulation_net_income[sim_round] / float(previous_company_income.net_income) - 1
            previous_company_income.drift = Decimal(drift)
            previous_company_income.save()
        company_share = CompanyShare(company=company, share_value=Decimal(stock_price), dividends=Decimal(simulation_dividends[sim_round]),
                                     net_income=Decimal(simulation_net_income[sim_round]), drift=Decimal(drift), sim_round=sim_round)
        company_share.save()
        previous_company_income = company_share
        if sim_round == 0:
            stock.price = Decimal(stock_price)
            stock.save()
    return company.id
Beispiel #2
0
def create_company_live(simulation_id, stock_id):
    simulation = Simulation.objects.get(pk=simulation_id)
    stock = Stock.objects.get(pk=stock_id)
    ticker = Ticker.objects.get(simulation=simulation)
    company = TickerCompany(ticker=ticker, stock=stock, symbol=stock.symbol, name="Company %s" % stock.symbol)
    company.save()