def test_add_and_del_order02(self):
exchange = Exchange()
exchange.asks = Orderbook_half('asks', 1)
exchange.bids = Orderbook_half('bids', 100)
order01 = Order('T01', 'Bid', 3, 1, 1, 0, 'LIM')
exchange.add_order(order01, False)
self.assertEqual(exchange.bids.n_orders, 1)
exchange.del_order(2, order01, False)
self.assertEqual(exchange.bids.n_orders, 0)
def market_session(sess_id, starttime, endtime, trader_spec, order_schedule,
dumpfile, dump_each_trade, verbose, save_path):
# initialise the exchange
exchange = Exchange()
# create a bunch of traders
traders = {}
trader_stats = populate_market(trader_spec, traders, True, verbose)
mcg_names = [
'MARKET_M', "LIQ", "NOISE", "MOMENTUM", "MEAN_R", "SMB", "SMS"
]
# timestep set so that can process all traders in one second
# NB minimum interarrival time of customer orders may be much less than this!!
# timestep = 1.0 / float(trader_stats['n_buyers'] + trader_stats['n_sellers'])
timestep = 1.0
print_time = 0
print_time_step = 1.0 / float(trader_stats['n_buyers'] +
trader_stats['n_sellers'])
duration = float(endtime - starttime)
last_update = -1.0
time = starttime
orders_verbose = False
lob_verbose = False
process_verbose = False
respond_verbose = False
bookkeep_verbose = False
inside_trade_verbose = False
bad_mid_price = 0
# id_by_trader = traders_by_type(traders, mcg_names)
# record statistics of the market
personal_print = []
pending_cust_orders = []
plot_order_from_agents = []
price_from_noise = []
bids_and_ask = []
ask_order = []
bid_order = []
list_ema = []
qty_and_time = []
price_swing_info = []
# price spikes
last_30_orders = []
last_30_mid_prices = []
price_spike_min = 100.0 - 0.05
price_spike_max = 100.0 + 0.05
spike_num = 0
spikes_orders = len(list(traders.keys())) * 25
# statistics variables
order_counter = 0
time_counter = 0
trades_num = 0
ask_ord = 0
buy_ord = 0
mcg_order_counter = {}
mcg_order_counter['MARKET_M'] = 0
mcg_order_counter['NOISE'] = 0
mcg_order_counter['LIQ'] = 0
mcg_order_counter['ZIP'] = 0
mcg_order_counter['ZIC'] = 0
mcg_order_counter['SNPR'] = 0
mcg_order_counter['MARKET_M_BID'] = 0
mcg_order_counter['MARKET_M_ASK'] = 0
mcg_order_counter['MEAN_R_ASK'] = 0
mcg_order_counter['MEAN_R_BID'] = 0
mcg_order_counter['MMT_ASK'] = 0
mcg_order_counter['MMT_BID'] = 0
mcg_order_counter['LIQ_BID'] = 0
mcg_order_counter['LIQ_ASK'] = 0
mcg_order_counter['NOISE_BID'] = 0
mcg_order_counter['NOISE_ASK'] = 0
mcg_order_counter['NOISE_DEL'] = 0
mcg_order_counter['SMB'] = 0
mcg_order_counter['SMS'] = 0
mcg_order_counter['MMT_QTY'] = 0
mcg_order_counter['MEAN_R_QTY'] = 0
mcg_order_counter['NOISE_QTY'] = 0
# best bid and ask price of the market for checking for price spike and for traders
last_best_ask = 100.0 - 0.05
last_best_bid = 100.0 + 0.05
record_ask_price = 100.0 - 0.05
record_bid_price = 100.0 + 0.05
if verbose: print('\n%s; ' % (sess_id))
# begin loop
while time < endtime:
time_counter += 1
# how much time left, as a percentage?
time_left = (endtime - time) / duration
trade = None
[pending_cust_orders,
kills] = customer_orders_new(time, last_update, traders, trader_stats,
order_schedule, pending_cust_orders,
orders_verbose)
# customer order is assignment
# if any newly-issued customer orders mean quotes on the LOB need to be cancelled, kill them
if len(kills) > 0:
# if verbose : print('Kills: %s' % (kills))
for kill in kills:
# if verbose : print('lastquote=%s' % traders[kill].lastquote)
if traders[kill].lastquote != None:
# if verbose : print('Killing order %s' % (str(traders[kill].lastquote)))
exchange.del_order(time, traders[kill].lastquote, verbose)
# tid = list(traders.keys())[random.randint(0, len(traders) - 1)]
for tid in list(traders.keys()):
orders_from_agent, need_to_delete_orders = traders[tid].getorder(
time, time_left, exchange.publish_lob(time, lob_verbose))
# need to delete orders before going further
if len(need_to_delete_orders) > 0:
for to_be_del_orders in need_to_delete_orders:
# print("BSE MAIN : DEL " + str(to_be_del_orders))
exchange.del_order(time, to_be_del_orders, process_verbose)
# if verbose: print('Trader Quote: %s' % (order))
if len(orders_from_agent) > 0:
del_array = []
del_in_exchange = []
for temp_ord in range(len(traders[tid].orders)):
if (traders[tid].orders[temp_ord].qid >= 0):
del_array.append(temp_ord)
del_in_exchange.append(traders[tid].orders[temp_ord])
del_array.sort(reverse=True)
for i in del_array:
del traders[tid].orders[i]
for d_ord in del_in_exchange:
exchange.del_order(time, d_ord, True)
# records order from different traders
# ________________________________________________________
if traders[tid].ttype == 'NOISE':
if len(need_to_delete_orders) > 0:
mcg_order_counter['NOISE_DEL'] += 1
for order in orders_from_agent:
last_30_orders.append(order)
if len(last_30_orders) > spikes_orders:
last_30_orders.pop(0)
exchange_before = exchange
if exchange.asks.best_price is not None:
record_ask_price = exchange.asks.best_price
if exchange.bids.best_price is not None:
record_bid_price = exchange.bids.best_price
if order != None:
if len(bids_and_ask) > 50:
bids_and_ask.pop(0)
if order.otype == "Ask":
bids_and_ask.append("Ask")
else:
bids_and_ask.append("Bid")
if traders[tid].ttype == 'SMB' and order.otype == "Bid":
mcg_order_counter['SMB'] += 1
if traders[tid].ttype == 'SMS' and order.otype == "Ask":
mcg_order_counter['SMS'] += 1
plot_order_from_agents.append([time, order.price])
if traders[tid].ttype == 'MEAN_R':
mcg_order_counter['MEAN_R_QTY'] += order.qty
if order.otype == "Bid":
mcg_order_counter['MEAN_R_BID'] += 1
bid_order.append([time, order.price])
else:
mcg_order_counter['MEAN_R_ASK'] += 1
ask_order.append([time, order.price])
print_time += print_time_step
if traders[tid].ttype == 'MARKET_M':
if order.otype == "Ask":
mcg_order_counter['MARKET_M_ASK'] += 1
else:
mcg_order_counter['MARKET_M_BID'] += 1
if traders[tid].ttype == 'MOMENTUM':
mcg_order_counter['MMT_QTY'] += order.qty
qty_and_time.append([time, order.qty])
if order.otype == "Ask":
mcg_order_counter['MMT_ASK'] += 1
else:
mcg_order_counter['MMT_BID'] += 1
if traders[tid].ttype == 'LIQ':
if order.otype == "Ask":
mcg_order_counter['LIQ_ASK'] += 1
else:
mcg_order_counter['LIQ_BID'] += 1
if traders[tid].ttype == 'NOISE':
price_from_noise.append([time, order.price])
mcg_order_counter['NOISE_QTY'] += order.qty
if order.otype == "Ask":
mcg_order_counter['NOISE_ASK'] += 1
else:
mcg_order_counter['NOISE_BID'] += 1
if order.otype == "Ask":
ask_ord += 1
else:
buy_ord += 1
# ________________________________________________________
traders[tid].n_quotes = 1
for temp_id in list(traders.keys()):
most_recent_order = 0
if traders[temp_id].ttype not in mcg_names:
for iter_ord in traders[temp_id].orders:
if iter_ord.qid < 0 and iter_ord.time > most_recent_order:
most_recent_order = iter_ord.time
del_array = []
for iter_ord in range(len(
traders[temp_id].orders)):
if traders[temp_id].orders[
iter_ord].time < most_recent_order:
del_array.append(iter_ord)
del_array.sort(reverse=True)
for i in del_array:
del traders[temp_id].orders[i]
else:
for iter_ord in traders[temp_id].orders:
if iter_ord.qid < 0 and iter_ord.time > most_recent_order:
most_recent_order = iter_ord.time
del_array = []
for iter_ord in range(len(
traders[temp_id].orders)):
if traders[temp_id].orders[iter_ord].time < most_recent_order \
and traders[temp_id].orders[iter_ord].qid < 0:
del_array.append(iter_ord)
del_array.sort(reverse=True)
for i in del_array:
del traders[temp_id].orders[i]
# check for orders inside the agent object
# __________________________________________________________________________
# check_no_exceeding_orders(traders)
# check_for_double_qid(traders)
# __________________________________________________________________________
# now we kill the orders that is less than the current one
# send order to exchange
if order.qty < 1:
sys.exit("Order Quantity cannot be 0")
transac_record, actual_quantity_traded = exchange.process_order2(
time, order, process_verbose)
if len(transac_record) != 0:
traders[tid].add_order(order, False)
for trade in transac_record:
trades_num += 1
# if verbose:
# print_ba_bookkeep(traders, trade,"___ BEFORE BOOK KEEP : TRADE FROM AGENTS ____ ")
if traders[trade['party1']].ttype not in mcg_names:
traders[trade['party1']].bookkeep(
trade, order, bookkeep_verbose, time)
else:
traders[trade['party1']].bookkeep_new(
trade, order, bookkeep_verbose, time,
actual_quantity_traded,
trade['del_party1'])
if traders[trade['party2']].ttype not in mcg_names:
traders[trade['party2']].bookkeep(
trade, order, bookkeep_verbose, time)
else:
traders[trade['party2']].bookkeep_new(
trade, order, bookkeep_verbose, time,
actual_quantity_traded,
trade['del_party2'])
if dump_each_trade:
trade_stats(
sess_id, traders, tdump, time,
exchange.publish_lob(time, lob_verbose))
# check if the MKT order is still in the agent personal order, if yes, must be removed
if order.ostyle == 'MKT':
for temp_ord in traders[tid].orders:
if temp_ord.qid == order.qid:
traders[tid].orders.remove(temp_ord)
# if there is no trade
else:
if order.ostyle == 'LIM' and traders[
tid].ttype in mcg_names:
traders[tid].add_order(order, False)
# traders respond to whatever happened
lob = exchange.publish_lob(time, lob_verbose)
for t in traders:
traders[t].respond(time, lob, trade, respond_verbose,
bids_and_ask)
price_swing_info = record_price_swing(
exchange, exchange_before, record_ask_price,
record_bid_price, order, price_swing_info,
order.ostyle, time, save_path, sess_id, traders)
# check_market_and_agent_integrity(exchange, traders, mcg_names)
spike_time = time
print("TIME : " + str(time))
# update mid price and record
time = time + timestep
if exchange.asks.best_price is not None:
last_best_ask = exchange.asks.best_price
if exchange.bids.best_price is not None:
last_best_bid = exchange.bids.best_price
# if time % 5 == 0:
if True:
mid_price = (last_best_ask + last_best_bid) / 2
personal_print.append([time, mid_price])
# price spikes
if exchange.asks.best_price is not None:
price_spike_max = exchange.asks.best_price
if exchange.bids.best_price is not None:
price_spike_min = exchange.bids.best_price
# if time % 5 == 0:
if True:
mid_price = (price_spike_max + price_spike_min) / 2
last_30_mid_prices.append([time, mid_price])
if len(last_30_mid_prices) > 30:
last_30_mid_prices.pop(0)
# detect_spike(last_30_orders, last_30_mid_prices, save_path, sess_id, traders, spike_time)
print("END OF TRANSACTION DAY")
print("_____________RESULTS____________________________")
print("Time Counter : " + str(time_counter))
print("Trades Num : " + str(trades_num))
print("________________________________________________")
# mm_total_bid = 0
# mm_total_ask = 0
# for momentum_id in id_by_trader['MARKET_M']:
# n_bids_mm ,n_asks_mm = traders[momentum_id].return_submitted()
# mm_total_ask = mm_total_ask + n_asks_mm
# mm_total_bid = mm_total_bid + n_bids_mm
#
# print("INNER LARGE ORDER MARKET M ASK ORDERS : " + str(mm_total_ask))
# print("INNER LARGE ORDER MARKET M BID ORDERS : " + str(mm_total_bid))
print("MARKET M ASK ORDERS : " + str(mcg_order_counter['MARKET_M_ASK']))
print("MARKET M BID ORDERS : " + str(mcg_order_counter['MARKET_M_BID']))
print("LIQ ASK ORDERS : " + str(mcg_order_counter['LIQ_ASK']))
print("LIQ BID ORDERS : " + str(mcg_order_counter['LIQ_BID']))
print("MEAN_R BID ORDERS : " + str(len(bid_order)))
print("MEAN_R ASK ORDERS : " + str(len(ask_order)))
print("MOMENTUM BID ORDERS : " + str(mcg_order_counter['MMT_BID']))
print("MOMENTUM ASK ORDERS : " + str(mcg_order_counter['MMT_ASK']))
print("NOISE ORDERS BID : " + str(mcg_order_counter['NOISE_BID']))
print("NOISE ORDERS ASK : " + str(mcg_order_counter['NOISE_ASK']))
print("NOISE ORDERS DEL : " + str(mcg_order_counter['NOISE_DEL']))
print("Mean R qty : " + str(mcg_order_counter['MEAN_R_QTY']))
print("Momentum qty : " + str(mcg_order_counter['MMT_QTY']))
print("________________________________________________")
print("TOTAL ASK ORD : " + str(ask_ord))
print("TOTAL BUY ORD : " + str(buy_ord))
print("________________________________________________")
file1 = open(save_path + "mr_mt_stats.txt", "a")
file1.write("Session ID : " + str(sess_id))
file1.write("\nNoise trader ")
file1.write("\nNOISE ORDERS BID : " + str(mcg_order_counter['NOISE_BID']))
file1.write("\nNOISE ORDERS ASK : " + str(mcg_order_counter['NOISE_ASK']))
file1.write("\nNOISE ORDERS ASK : " + str(mcg_order_counter['NOISE_QTY']))
file1.write("\n Mean R")
file1.write("\nMEAN_R BID ORDERS : " + str(len(bid_order)))
file1.write("\nMEAN_R ASK ORDERS : " + str(len(ask_order)))
file1.write("\nMean R qty : " + str(mcg_order_counter['MEAN_R_QTY']))
file1.write("\nMomentum Trader")
file1.write("\nMOMENTUM BID ORDERS : " + str(mcg_order_counter['MMT_BID']))
file1.write("\nMOMENTUM ASK ORDERS : " + str(mcg_order_counter['MMT_ASK']))
file1.write("\nMomentum qty : " + str(mcg_order_counter['MMT_QTY']) +
"\n\n")
file1.close()
file_name = os.path.join(save_path, 'transaction_' + str(sess_id) + '.csv')
exchange.tape_dump(file_name, 'w', 'keep')
acc = calculate_acc_mid_price(personal_print, sess_id, save_path)
# print("Mid price acc returns: " + str(acc))
# print("________________________________________________")
# print("PRICE SWINGS " + str(len(price_swing_info)))
# for swings in price_swing_info:
# print("TIME : " + str(swings['time']) + " SWING : " + str(swings['swing']) + " TRADER_TYPE : "+ traders[swings['order'].tid].ttype
# + " QTY: " + str(swings['order'].qty) + "\n")
# end of an experiment -- dump the tape
file_name = os.path.join(save_path, 'mid_price_' + str(sess_id) + '.csv')
print_trader_type_transac(personal_print, file_name)
# write trade_stats for this experiment NB end-of-session summary only
trade_stats(sess_id, traders, tdump, time,
exchange.publish_lob(time, lob_verbose))
ts_acc = calculate_acc_transaction(sess_id, save_path)
return acc, ts_acc
