histogram, bins = np.histogram(supply_prices, _get_histogram_bins())
return list(np.cumsum(histogram))
if __name__ == '__main__':
MARKET_DAYS = 200
market = Market(n_buyers=100, n_sellers=90, min_sell_price=__MIN_SELL_PRICE, max_sell_price=__MAX_SELL_PRICE)
max_prices = list()
min_prices = list()
avg_prices = list()
for day in range(0, MARKET_DAYS):
market.run_market_day()
transaction_prices = [seller.get_quotation() for seller in market.get_sellers() if not seller.is_available()]
market.close_market_day()
if len(transaction_prices) > 0:
max_prices.append(max(transaction_prices))
min_prices.append(min(transaction_prices))
avg_prices.append(sum(transaction_prices) / len(transaction_prices))
if len(max_prices) > 0:
plt.plot(max_prices)
plt.plot(min_prices)
plt.plot(avg_prices)
else:
print('Too bad! No transactions this year')
prices = _get_histogram_bins()[:-1]
supply_quantities = _get_supply_curve(market)
