def simulation(redemptions, costs, info_traders, simulations, periods, time_steps):
# sort valuations from highest to lowest, costs from lowest to highest
redemptions.sort(reverse=True)
costs.sort()
# calculates maximum surplus
maximum_surplus = max_surplus(redemptions, costs, info_traders["traders"])
# run certain amount of simulations
for sim in range(simulations):
# divide the number of agents participating in auction
agents_in_auction = divide_traders(info_traders)
# creates transaction period object
trans_period = Period(agents_in_auction, time_steps, info_traders["min_price"],
info_traders["max_price"])
# starts loop for the total amount of transaction periods
for period in range(periods):
trans_period.period = period
# loop for amount of time steps per period
for time_step in range(time_steps):
# set activity agents
trans_period.set_activity_traders(time_step)
# checks if agents that are willing to shout are found
if trans_period.active_agents:
# random agent to shout bid or ask
trader = trans_period.shout_offer()
# checks if transactions is possible
if trans_period.check_transaction():
# chooses radomly a traders from the opposite market side to exchange
second_trader = trans_period.pick_agents_transactions(
trader)
# checks if traders that shouted is buyer
if trader.type == "buyer":
# check if buyer has enough budget
if trans_period.check_buyer(trader, second_trader.price):
# procces transactions between the two traders
trans_period.procces_transaction(trader, second_trader,
second_trader.price,
period, time_step)
# check if traders can still participate in auction,
trans_period.check_competing_agents(trader,
second_trader,
redemptions,
costs)
# checks if trader that shouted is seller
else:
# checks if the buyer has enough budget
if trans_period.check_buyer(second_trader,
second_trader.price):
# procces transaction between the two traders
trans_period.procces_transaction(second_trader, trader,
second_trader.price,
period, time_step)
# check if traders can still participate in auction
trans_period.check_competing_agents(second_trader,
trader,
redemptions,
costs)
# check if trades are still possible
if trans_period.check_end_period():
break
# set all agents "reseted" in auction and keep track of min max trade price
trans_period.update_min_max_trade(period)
trans_period.reset_agents_new_round(redemptions, costs)
all_data_simulation(sim, trans_period.data_surplus,
trans_period.data_transactions,
trans_period.agents_in_auction)
