def test_simulate_trade_sell_orders_in_buy_command(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a2': 10}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock()
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=False)
exception = False
try:
network.submit_buy_orders([Buy('a1', 2), Sell('a1', 2)])
except TypeError:
exception = True
mi_calc.get_updated_price.assert_not_called()
self.assertTrue(exception)
def test_simulate_trade_sell_more_than_buy(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a2': 10}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock(return_value=0.5)
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=False)
network.submit_buy_orders([Buy('a1', 2)])
network.submit_sell_orders([Sell('a1', 3)])
log = network.simulate_trade()
self.assertDictEqual({'a1': '1->0.5'}, log)
mi_calc.get_updated_price.assert_called_once_with(1, a1, -1)
self.assertFalse(network.buy_orders)
self.assertFalse(network.sell_orders)
self.assertTrue(a1.price == 0.5)
self.assertTrue(a2.price == 2)
def test_tree(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a1': 20}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock()
mi_calc.get_updated_price.side_effect = update_price_side_effects
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={'a1': a1},
mi_calc=mi_calc,
limit_trade_step=False)
action_manager = ActionsManager(network.assets, 0.5, 1, [50, 30])
SysConfig.set("STEP_ORDER_SIZE", 0.5)
f1.marginal_call = MagicMock(return_value=False)
f2.marginal_call = MagicMock()
f2.marginal_call.side_effect = f1_margin_call_side_effect
actual_tree = PortfolioFlashCrashRootChanceGameState(
action_manager, af_network=network, defender_budget=50)
expected_tree = self.gen_tree()
self.assertEqual(actual_tree.chance_prob(), {'p1': 0.75, 'p2': 0.25})
self.assertEqual(actual_tree.tree_size, 8)
self.cmp_tree(expected_tree, actual_tree)
def test_simulate_trade_mix_trades(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a2': 10}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock(return_value=1.5)
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=False)
network.submit_sell_orders([Sell('a2', 2)])
network.submit_buy_orders([Buy('a1', 2)])
log = network.simulate_trade()
calls = [call(2, a2, -1), call(2, a1, 1)]
mi_calc.get_updated_price.assert_has_calls(calls, any_order=True)
self.assertDictEqual({'a1': '1->1.5', 'a2': '2->1.5'}, log)
self.assertFalse(network.buy_orders)
self.assertFalse(network.sell_orders)
def test_simulate_trade_buy_equals_sell(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a2': 10}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock()
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=False)
network.submit_buy_orders([Buy('a1', 3)])
network.submit_sell_orders([Sell('a1', 3)])
log = network.simulate_trade()
mi_calc.get_updated_price.assert_not_called()
self.assertFalse(log)
self.assertFalse(network.buy_orders)
self.assertFalse(network.sell_orders)
self.assertTrue(a1.price == 1)
self.assertTrue(a2.price == 2)
def test_get_possible_attacks(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=10, symbol='a1')
a1.set_price(3)
a2 = AssetFundNetwork.Asset(price=2, daily_volume=4, symbol='a2')
a2.set_price(4)
a3 = AssetFundNetwork.Asset(price=7, daily_volume=2, symbol='a3')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a1': 10}, 100, 1, 1)
SysConfig.set("STEP_ORDER_SIZE", 0.5)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2,
'a3': a3
},
mi_calc=MockMarketImpactTestCalculator())
actual_orders = get_possible_attacks(network, 10)
expected_orders = []
expected_orders.append(([Sell('a1', 5)], 5))
expected_orders.append(([Sell('a2', 2)], 4))
expected_orders.append(([Sell('a3', 1)], 7))
expected_orders.append(([Sell('a1', 5), Sell('a2', 2)], 9))
expected_orders.append(([], 0))
self.assertEqual(actual_orders, expected_orders)
def test_funds_under_risk(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=200, symbol='a2')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a1': 10}, 100, 1, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
network.reset_order_books = MagicMock()
network.simulate_trade = MagicMock()
network.submit_sell_orders = MagicMock()
network.get_funds_in_margin_calls = MagicMock(return_value=['f1'])
actions_mgr = ActionsManager(network.assets, 0.1)
actual_funds = actions_mgr._ActionsManager__funds_under_risk(network)
self.assertListEqual(actual_funds, ['f1'])
network.reset_order_books.assert_called_once()
network.submit_sell_orders.assert_called_once_with(
[Sell('a1', 10), Sell('a2', 20)])
network.simulate_trade.assert_called_once()
network.get_funds_in_margin_calls.assert_called_once()
def dont_test_get_possible_defenses(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=4, symbol='a2')
a3 = AssetFundNetwork.Asset(price=7, daily_volume=2, symbol='a3')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a1': 10}, 100, 1, 1)
SysConfig.set("ORDER_SIZES", [0.5, 1])
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2,
'a3': a3
},
mi_calc=MockMarketImpactTestCalculator())
actual_orders = get_possible_defenses(network, 10)
expected_orders = []
expected_orders.append(([Buy('a1', 5)], 5))
expected_orders.append(([Buy('a1', 10)], 10))
expected_orders.append(([Buy('a2', 2)], 4))
expected_orders.append(([Buy('a2', 4)], 8))
expected_orders.append(([Buy('a3', 1)], 7))
expected_orders.append(([Buy('a1', 5), Buy('a2', 2)], 9))
expected_orders.append(([], 0))
self.assertEqual(actual_orders, expected_orders)
def test_get_possible_defenses_integ(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=100, symbol='a2')
a3 = AssetFundNetwork.Asset(price=3, daily_volume=100, symbol='a3')
a4 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a4')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a4': 10}, 100, 1, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2,
'a3': a3,
'a4': a4
},
mi_calc=MockMarketImpactTestCalculator())
actions_mgr = ActionsManager(network.assets, 0.1)
history = {BUY: {'a1': 2}, SELL: {'a1': 1, 'a2': 2}}
budget = 20
actions_mgr._ActionsManager__funds_under_risk = MagicMock(
return_value=['f1'])
actual_defenses = actions_mgr.get_possible_defenses(
network, budget, history)
self.assertListEqual(actual_defenses, [([Buy('a2', 10)], 20), ([], 0)])
actions_mgr._ActionsManager__funds_under_risk.assert_called_once_with(
network)
def test_store_file(self):
a1 = AssetFundNetwork.Asset(price=10, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=20, daily_volume=1, symbol='a2')
f1 = MockFund('f1', a1, 1)
f2 = MockFund('f2', a2, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
solver = SingleAgentDynamicProgrammingSolver(network, 40, 1, 1)
solver.store_solution('../../../resources/test_store_file.csv')
expected_rows = []
for budget in [40, 30, 20, 10]:
expected_rows.append({
'budget':
str(budget),
'value':
str(solver.solutions[2][budget].value),
'actions':
str(solver.solutions[2][budget].actions)
})
i = 0
with open('../../../resources/test_store_file.csv',
newline='') as csvfile:
reader = csv.DictReader(csvfile)
for row in reader:
self.assertEqual(dict(row), expected_rows[i])
i += 1
def test_single_agent(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
a2 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
f1 = AssetFundNetwork.Fund('f1', {'a2': 10}, 100, 1, 1)
f2 = AssetFundNetwork.Fund('f2', {'a1': 20}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock()
mi_calc.get_updated_price.side_effect = update_price_side_effects
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=True)
f1.marginal_call = MagicMock(return_value=False)
f2.marginal_call = MagicMock()
f2.marginal_call.side_effect = f1_margin_call_side_effect
actions_mgr = ActionsManager(network.assets, 0.1, 2)
result = single_agent(actions_mgr, network, 200)
print(result.value)
print(result.actions)
self.assertEqual(result.value, -1)
self.assertListEqual(result.actions, [[Sell('a1', 20)], ['MARKET']])
def test_gen_optimal_attacks(self):
a1 = AssetFundNetwork.Asset(price=10, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=20, daily_volume=10, symbol='a2')
f1 = MockFund('f1', a1, 1)
f2 = MockFund('f2', a2, 1)
f2 = MockFund('f3', a2, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
expected_portfolio = [
([], 0),
([Sell("a1", 5)], 50),
([Sell("a1", 10)], 100),
([Sell("a2", 5)], 100),
([Sell("a2", 10)], 200),
([Sell("a1", 5), Sell("a2", 5)], 150),
([Sell("a1", 10), Sell("a2", 5)], 200),
]
def test_get_attacks_in_budget(self):
a1 = AssetFundNetwork.Asset(price=10, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=20, daily_volume=10, symbol='a2')
f1 = MockFund('f1', a1, 1)
f2 = MockFund('f2', a2, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
expected_portfolio = [
([], 0),
([Sell("a1", 5)], 50),
([Sell("a1", 10)], 100),
([Sell("a2", 5)], 100),
([Sell("a2", 10)], 200),
([Sell("a1", 5), Sell("a2", 5)], 150),
([Sell("a1", 10), Sell("a2", 5)], 200),
]
solver = SingleAgentESSolver(network, 0.5, 2)
actual_portfolio = solver.get_attacks_in_budget(200, True)
expected_portfolio_str = sorted([(str(x), str(y))
for (x, y) in expected_portfolio])
actual_portfolio_str = sorted([(str(x), str(y))
for (x, y) in actual_portfolio])
self.assertEqual(expected_portfolio_str, actual_portfolio_str)
def test_get_possible_defenses(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=4, symbol='a2')
a3 = AssetFundNetwork.Asset(price=7, daily_volume=2, symbol='a3')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a1': 10}, 100, 1, 1)
SysConfig.set("STEP_ORDER_SIZE", 0.5)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2,
'a3': a3
},
mi_calc=MockMarketImpactTestCalculator())
actual_orders = get_possible_defenses(network, 10)
expected_orders = []
expected_orders.append(([Buy('a1', 5)], 5))
expected_orders.append(([Buy('a2', 2)], 4))
expected_orders.append(([Buy('a3', 1)], 7))
expected_orders.append(([Buy('a1', 5), Buy('a2', 2)], 9))
expected_orders.append(([], 0))
actual_orders.sort(key=operator.itemgetter(1))
expected_orders.sort(key=operator.itemgetter(1))
self.assertEqual(len(actual_orders), len(expected_orders))
for i in range(0, len(actual_orders)):
actual_orders[i][0].sort(key=lambda x: x.asset_symbol)
expected_orders[i][0].sort(key=lambda x: x.asset_symbol)
self.assertListEqual(actual_orders[i][0], expected_orders[i][0])
self.assertEqual(actual_orders[i][1], expected_orders[i][1])
def not_test_solver_finds_best_attack_integration(self):
a1 = AssetFundNetwork.Asset(50, 2, 'a1')
a2 = AssetFundNetwork.Asset(20, 2, 'a2')
a3 = AssetFundNetwork.Asset(30, 2, 'a3')
f1 = AssetFundNetwork.Fund('f1', {'a1': 10}, {'a2': 10}, 1000, 1, 1)
f2 = AssetFundNetwork.Fund('f2', {'a2': 10}, {'a3': 10}, 1000, 1, 1)
network = AssetFundNetwork.AssetFundsNetwork(funds=[f1, f2],
assets=[a1, a2, a3])
solver = SingleAgentDynamicProgrammingSolver(network, 10, 0.5)
print(solver.results.value)
print(solver.results.actions)
def dont_test_get_possible_attacks_single_asset_per_attack(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=2, symbol='a1')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
SysConfig.set("ORDER_SIZES", [0.5, 1])
network = AssetFundNetwork.AssetFundsNetwork(
funds={'f1': f1},
assets={'a1': a1},
mi_calc=MockMarketImpactTestCalculator())
actual_sell_orders = get_possible_attacks(network, 10)
expected_sell_orders = []
expected_sell_orders.append(([Sell('a1', 2)], 2))
expected_sell_orders.append(([Sell('a1', 1)], 1))
expected_sell_orders.append(([], 0))
self.assertEqual(actual_sell_orders, expected_sell_orders)
def test_simulate_trade_limit_trade_step(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1000, symbol='a1')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
mi_calc = MarketImpactCalculator()
mi_calc.get_updated_price = MagicMock(return_value=1.5)
network = AssetFundNetwork.AssetFundsNetwork(funds={'f1': f1},
assets={'a1': a1},
mi_calc=mi_calc)
SysConfig.set('TIME_STEP_MINUTES', 1)
SysConfig.set('DAILY_PORTION_PER_MIN', 0.001)
network.submit_buy_orders([Buy('a1', 2)])
log = network.simulate_trade()
self.assertDictEqual({'a1': '1->1.5'}, log)
mi_calc.get_updated_price.assert_called_once_with(1, a1, 1)
self.assertEqual(network.buy_orders['a1'], 1)
def test_solution2(self):
a1 = AssetFundNetwork.Asset(price=2, daily_volume=500, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1000, symbol='a2')
f1 = AssetFundNetwork.Fund('f1', {'a1': 10, 'a2': 10}, 16, 1, 1)
f2 = AssetFundNetwork.Fund('f2', {'a1': 5, 'a2': 4}, 5, 2, 0.25)
network = AssetFundNetwork.AssetFundsNetwork(funds = {'f1':f1, 'f2':f2},
assets={'a1':a1, 'a2':a2},
mi_calc=MockMarketImpactTestCalculator(),
intraday_asset_gain_max_range=None,
limit_trade_step=False
)
actions,cost = single_fund_attack_optimal_attack_generator(network, 'f1',
MockMarketImpactTestCalculator(),0.25,3)
self.assertEqual(cost, 500)
self.assertEqual(actions, [Sell('a1', 125),Sell('a1', 125)])
def dont_test_get_possible_defenses_unit(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=100, symbol='a2')
a3 = AssetFundNetwork.Asset(price=3, daily_volume=100, symbol='a3')
a4 = AssetFundNetwork.Asset(price=1, daily_volume=100, symbol='a4')
f1 = Fund('f1', {'a1': 10, 'a2': 10, 'a3': 10}, 100, 1, 1)
f2 = Fund('f2', {'a4': 10}, 100, 1, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2,
'a3': a3,
'a4': a4
},
mi_calc=MockMarketImpactTestCalculator())
actions_mgr = ActionsManager(network.assets, 0.1)
actions_mgr.funds_under_risk = MagicMock(return_value=['f1'])
actions_mgr.get_single_orders = MagicMock(
return_value=[Buy('a1', 10),
Buy('a2', 10),
Buy('a3', 10)])
expected_order_set = [[Buy('a1', 10)]]
actions_mgr.get_defenses_in_budget = MagicMock(
return_value=[(expected_order_set, 10)])
history = {BUY: {'a1': 2}, SELL: {'a1': 1, 'a2': 2}}
budget = 60
actual_defenses = actions_mgr.get_possible_defenses(
network, budget, history)
self.assertListEqual(actual_defenses, [(expected_order_set, 10),
([], 0)])
actions_mgr.funds_under_risk.assert_called_once_with(network)
defense_assets = {
'a2': a2,
'a1': a1,
'a3': a3,
}
actions_mgr.get_single_orders.assert_called_once_with(defense_assets)
filtered_defenses = [Buy('a2', 10), Buy('a3', 10)]
actions_mgr.get_defenses_in_budget.assert_called_once_with(
defense_assets, filtered_defenses)
def test_order_limited_by_parameter(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=2, symbol='a2')
f1 = MockFund(symbol='f1', my_asset=a1, margin_ratio=0.9)
f2 = MockFund(symbol='f2', my_asset=a2, margin_ratio=0.9)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
solver = SingleAgentDynamicProgrammingSolver(network, 4, 0.5, 2)
self.assertEqual(solver.results.value, 1)
self.assertEqual(solver.results.actions[0], Sell('a2', 2))
def test_gen_weights(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=4, symbol='a2')
f1 = MockFund('f1', a1, 1)
f2 = MockFund('f2', a2, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
solver = SingleAgentDynamicProgrammingSolver(network, 4, 0.5, 1)
self.assertEqual(solver.weights[1], 5)
self.assertEqual(solver.weights[2], 4)
def test_2(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = MockFund('f1', a1, 1)
f2 = MockFund('f2', a2, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator())
solver = SingleAgentDynamicProgrammingSolver(network, 3, 1, 1)
self.assertEqual(solver.results.value, 2)
self.assertEqual(solver.results.actions[0], Sell('a1', 1))
self.assertEqual(solver.results.actions[1], Sell('a2', 1))
def test_minimax(self):
a1 = AssetFundNetwork.Asset(price=100, daily_volume=390, symbol='a1')
f1 = MockFund('f1', a1, 0.82)
SysConfig.set("STEP_ORDER_SIZE", 2 / 390)
SysConfig.set("TIME_STEP_MINUTES", 1)
SysConfig.set('DAILY_PORTION_PER_MIN', 1 / 390)
network = AssetFundNetwork.AssetFundsNetwork(
funds={'f1': f1},
assets={'a1': a1},
mi_calc=MockMarketImpactTestCalculator(),
limit_trade_step=True)
# value, actions, actual_tree = minimax(ROOT_ATTACKER, network, 205,190)
actions_mgr = ActionsManager(network.assets, 2 / 390, 1)
result = minimax(actions_mgr, ATTACKER, network, 205, 190, True)
expected_tree = self.gen_tree()
print(result.value)
print(result.actions)
self.compare_trees(result.tree, expected_tree)
self.assertEqual(int(result.network.assets['a1'].price), 100)
def run_one_time_attack_tree_test(self, pruning=False):
a1 = AssetFundNetwork.Asset(price=100, daily_volume=390, symbol='a1')
a2 = AssetFundNetwork.Asset(price=100, daily_volume=390, symbol='a2')
f1 = MockFund('f1', a1, 0.82)
f2 = MockFund('f2', a2, 0.82)
f3 = MockFund('f3', a2, 0.82)
SysConfig.set("STEP_ORDER_SIZE", 2 / 390)
SysConfig.set("TIME_STEP_MINUTES", 1)
SysConfig.set('DAILY_PORTION_PER_MIN', 1 / 390)
SysConfig.set("MAX_NUM_ORDERS", 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2,
'f3': f3
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator(),
limit_trade_step=True)
# value, actions, actual_tree = minimax(ROOT_ATTACKER, network, 205,190)
actions_mgr = ActionsManager(network.assets, 2 / 390, 1)
if pruning:
result = alphabeta(actions_mgr, ATTACKER, network, 405, 190,
(-inf, inf), (inf, inf), True)
else:
result = minimax2(actions_mgr, ATTACKER, network, 405, 190, True)
expected_tree = self.gen_tree2()
print(result.value)
print(result.actions)
self.compare_trees(result.tree, expected_tree)
self.assertEqual(int(result.network.assets['a1'].price), 81)
self.assertEqual(int(result.network.assets['a2'].price), 99)
self.assertEqual(int(network.assets['a1'].price), 100)
self.assertEqual(int(network.assets['a2'].price), 100)
def test_gen_optimal_attacks(self):
a1 = AssetFundNetwork.Asset(price=10, daily_volume=10, symbol='a1')
a2 = AssetFundNetwork.Asset(price=20, daily_volume=10, symbol='a2')
f1_margin_call = lambda assets: assets['a1'].price <= 8
f2_margin_call = lambda assets: assets['a2'].price <= 19
f3_margin_call = lambda assets: assets['a2'].price <= 19
mi_calc = MockMarketImpactTestCalculator({
'a1': {
5: 9,
10: 8
},
'a2': {
5: 19,
10: 18
}
})
f1 = MockFund('f1', a1, f1_margin_call)
f2 = MockFund('f2', a2, f2_margin_call)
f3 = MockFund('f3', a2, f3_margin_call)
network = AssetFundNetwork.AssetFundsNetwork(funds={
'f1': f1,
'f2': f2,
'f3': f3
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=mi_calc,
limit_trade_step=False)
solver = SingleAgentESSolver(network, 0.5, 2)
actual_solutions = solver.gen_optimal_attacks()
solution_2 = Solution(network, [Sell('a2', 5)], 2, ['f2', 'f3'], 100)
solution_3 = Solution(network,
[Sell('a1', 10), Sell('a2', 5)], 3,
['f1', 'f2', 'f3'], 200)
expected_solutions = {1: solution_2, 2: solution_2, 3: solution_3}
self.assertEqual(expected_solutions, actual_solutions)
def test_reset_books(self):
a1 = AssetFundNetwork.Asset(price=1, daily_volume=1, symbol='a1')
a2 = AssetFundNetwork.Asset(price=2, daily_volume=1, symbol='a2')
f1 = Fund('f1', {'a1': 10}, 100, 1, 1)
f2 = Fund('f2', {'a2': 10}, 100, 1, 1)
network = AssetFundNetwork.AssetFundsNetwork(
funds={
'f1': f1,
'f2': f2
},
assets={
'a1': a1,
'a2': a2
},
mi_calc=MockMarketImpactTestCalculator(),
limit_trade_step=True)
network.submit_buy_orders([Buy('a1', 2)])
network.submit_sell_orders([Sell('a1', 2)])
self.assertTrue(network.sell_orders)
self.assertTrue(network.buy_orders)
network.reset_order_books()
self.assertFalse(network.sell_orders)
self.assertFalse(network.buy_orders)