Finish implementing active management hooks

core/exchanges/common.py

@@ -98,5 +98,4 @@ def to_currency(direction, account, amount, from_currency, to_currency):
 
     # Convert the amount to the destination currency
     converted = D(amount) * price
-
     return converted

core/forms.py

@@ -419,7 +419,7 @@ class ActiveManagementPolicyForm(RestrictedFormMixin, ModelForm):
             "when_asset_groups_violated": "The action to take when a trade violating the asset group rules is discovered.",
             "when_max_open_trades_violated": "The action to take when a trade puts the account above the maximum open trades.",
             "when_max_open_trades_per_symbol_violated": "The action to take when a trade puts the account above the maximum open trades per symbol.",
-            "when_max_loss_violated": "The action to take when a trade puts the account above the maximum loss.",
+            "when_max_loss_violated": "The action to take when the account exceeds its maximum loss. NOTE: The close action will close all trades.",
             "when_max_risk_violated": "The action to take when a trade exposes the account to more than the maximum risk.",
             "when_crossfilter_violated": "The action to take when a trade is deemed to conflict with another -- e.g. a buy and sell on the same asset.",
         }

core/tests/helpers.py

@@ -1,17 +1,9 @@
 from datetime import time
+from decimal import Decimal as D
 from os import getenv
 from unittest.mock import Mock, patch
 
-from core.models import (
-    Account,
-    Hook,
-    OrderSettings,
-    RiskModel,
-    Signal,
-    Strategy,
-    TradingTime,
-    User,
-)
+from core.models import Account, OrderSettings, RiskModel, Strategy, TradingTime, User
 
 
 # Create patch mixin to mock out the Elastic client
@@ -48,7 +40,7 @@ class SymbolPriceMock:
         cls.patcher = patch("core.exchanges.common.get_symbol_price")
         patcher = cls.patcher.start()
 
-        patcher.return_value = 1
+        patcher.return_value = D(1)
 
     @classmethod
     def tearDownClass(cls):
@@ -141,7 +133,7 @@ class StrategyMixin:
             max_loss_percent=50,
             max_risk_percent=10,
             max_open_trades=10,
-            max_open_trades_per_symbol=2,
+            max_open_trades_per_symbol=5,
         )
 
         self.strategy = Strategy.objects.create(

core/tests/trading/test_active_management.py

@@ -1,5 +1,5 @@
 from decimal import Decimal as D
-from unittest.mock import Mock, patch
+from unittest.mock import patch
 
 from django.test import TestCase
 
@@ -28,6 +28,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
             name="Test Account",
             exchange="fake",
             currency="USD",
+            initial_balance=100000,
         )
         self.account.supported_symbols = ["EUR_USD", "EUR_XXX", "USD_EUR", "XXX_EUR"]
         self.account.save()
@@ -75,7 +76,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
                 "id": "20084",
                 "symbol": "EUR_USD",
                 "price": "1.06331",
-                "openTime": "2023-02-13T11:39:06.302917985Z",  # Monday at 11:38
+                "openTime": "2023-02-13T11:39:06.302917985Z",  # Monday at 11:39
                 "initialUnits": "10",
                 "initialMarginRequired": "0.2966",
                 "state": "OPEN",
@@ -95,6 +96,9 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         # Run parse_time on all items in trades
         for trade in self.trades:
             trade["openTime"] = parse_time(trade)
+
+        self.balance = 100000
+        self.balance_usd = 120000
         self.ams.get_trades = self.fake_get_trades
         self.ams.get_balance = self.fake_get_balance
         # self.ams.trades = self.trades
@@ -123,12 +127,25 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         trade["openTime"] = parse_time(trade)
         self.trades.append(trade)
 
+    def amend_tp_sl_flip_side(self):
+        """
+        Amend the take profit and stop loss orders to be the opposite side.
+        This lets the protection tests pass, so we can only test one violation
+        per test.
+        """
+        for trade in self.trades:
+            if trade["side"] == "short":
+                trade["stopLossOrder"]["price"] = "1.07386"
+                trade["takeProfitOrder"]["price"] = "1.04728"
+
     def fake_get_trades(self):
         self.ams.trades = self.trades
         return self.trades
 
-    def fake_get_balance(self):
-        return 10000
+    def fake_get_balance(self, return_usd=None):
+        if return_usd:
+            return self.balance_usd
+        return self.balance
 
     def fake_get_currencies(self, symbols):
         pass
@@ -139,7 +156,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
 
     def test_get_balance(self):
         balance = self.ams.get_balance()
-        self.assertEqual(balance, 10000)
+        self.assertEqual(balance, self.balance)
 
     def check_violation(
         self, violation, calls, expected_action, expected_trades, expected_args=None
@@ -153,6 +170,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         :param: expected_trades: list of expected trades to be passed to the violation
         :param: expected_args: optional, expected args to be passed to the violation
         """
+        self.assertEqual(len(calls), len(expected_trades))
         calls = list(calls)
         violation_calls = []
         for call in calls:
@@ -160,11 +178,18 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
                 violation_calls.append(call)
 
         self.assertEqual(len(violation_calls), len(expected_trades))
-        expected_trades = convert_trades(expected_trades)
+        if all(expected_trades):
+            expected_trades = convert_trades(expected_trades)
         for call in violation_calls:
             # Ensure the correct action has been called, like close
             self.assertEqual(call[0][1], expected_action)
             # Ensure the correct trade has been passed to the violation
+            trade = call[0][2]
+            if trade:
+                for field in list(trade.keys()):
+                    if "_usd" in field:
+                        if field in trade.keys():
+                            del trade[field]
             self.assertIn(call[0][2], expected_trades)
             if expected_args:
                 self.assertEqual(call[0][3], expected_args)
@@ -172,7 +197,6 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
     def test_run_checks(self, handle_violation):
         self.ams.run_checks()
-        print("handle_violation.call_count", handle_violation.call_args_list)
         self.assertEqual(handle_violation.call_count, 0)
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
@@ -201,7 +225,9 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         signal = self.create_hook_signal()
         self.strategy.trend_signals.set([signal])
         self.strategy.trends = {"EUR_USD": "sell"}
+        self.amend_tp_sl_flip_side()
         self.strategy.save()
+
         self.ams.run_checks()
         self.check_violation(
             "trends", handle_violation.call_args_list, "close", self.trades
@@ -216,8 +242,14 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         self.ams.run_checks()
         self.check_violation("trends", handle_violation.call_args_list, "close", [])
 
+    # Mock crossfilter here since we want to allow this conflict in order to test that
+    # trends only close trades that are in the wrong direction
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_crossfilter",
+        return_value=None,
+    )
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
-    def test_trends_violated_partial(self, handle_violation):
+    def test_trends_violated_partial(self, handle_violation, check_crossfilter):
         signal = self.create_hook_signal()
         self.strategy.trend_signals.set([signal])
         self.strategy.trends = {"EUR_USD": "sell"}
@@ -225,6 +257,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
 
         # Change the side of the first trade to match the trends
         self.trades[0]["side"] = "short"
+        self.amend_tp_sl_flip_side()
         self.ams.run_checks()
 
         self.check_violation(
@@ -241,7 +274,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
             handle_violation.call_args_list,
             "close",
             [self.trades[0]],
-            {"size": 50},
+            {"size": 500},
         )
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
@@ -270,7 +303,6 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         self.trades[0]["takeProfitOrder"] = None
         self.trades[0]["stopLossOrder"] = None
         self.ams.run_checks()
-        print("CALLS", handle_violation.call_args_list)
 
         self.assertEqual(handle_violation.call_count, 0)
 
@@ -301,6 +333,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
     def test_asset_groups_violated_invert(self, handle_violation):
         self.trades[0]["side"] = "short"
         self.trades[1]["side"] = "short"
+        self.amend_tp_sl_flip_side()
         asset_group = AssetGroup.objects.create(
             user=self.user,
             name="Test Asset Group",
@@ -325,6 +358,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
     def test_crossfilter_violated_side(self, handle_violation):
         self.trades[1]["side"] = "short"
+        self.amend_tp_sl_flip_side()
         self.ams.run_checks()
 
         self.check_violation(
@@ -336,16 +370,19 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
     def test_crossfilter_violated_side_multiple(self, handle_violation):
-        self.add_trade("20085", "EUR_USD", "short", "2023-02-13T12:39:06.302917985Z")
-        self.add_trade("20086", "EUR_USD", "short", "2023-02-14T12:39:06.302917985Z")
-        self.add_trade("20087", "EUR_USD", "short", "2023-02-10T12:39:06.302917985Z")
+        self.add_trade(
+            "20085", "EUR_USD", "short", "2023-02-13T12:39:06.302917985Z"
+        )  # 2:
+        self.add_trade("20086", "EUR_USD", "short", "2023-02-13T13:39:07.302917985Z")
+        self.add_trade("20087", "EUR_USD", "short", "2023-02-13T14:39:06.302917985Z")
+        self.amend_tp_sl_flip_side()
         self.ams.run_checks()
 
         self.check_violation(
             "crossfilter",
             handle_violation.call_args_list,
             "close",
-            self.trades[0:4],  # Only close newer trades
+            self.trades[2:],  # Only close newer trades
         )
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
@@ -363,16 +400,18 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
     def test_crossfilter_violated_symbol_multiple(self, handle_violation):
-        self.add_trade("20085", "USD_EUR", "long", "2023-02-13T12:39:06.302917985Z")
-        self.add_trade("20086", "USD_EUR", "long", "2023-02-14T12:39:06.302917985Z")
-        self.add_trade("20087", "USD_EUR", "long", "2023-02-10T12:39:06.302917985Z")
+        self.add_trade(
+            "20085", "USD_EUR", "long", "2023-02-13T12:39:06.302917985Z"
+        )  # 2:
+        self.add_trade("20086", "USD_EUR", "long", "2023-02-13T13:39:06.302917985Z")
+        self.add_trade("20087", "USD_EUR", "long", "2023-02-13T14:39:06.302917985Z")
         self.ams.run_checks()
 
         self.check_violation(
             "crossfilter",
             handle_violation.call_args_list,
             "close",
-            self.trades[0:4],  # Only close newer trades
+            self.trades[2:],  # Only close newer trades
         )
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
@@ -380,7 +419,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
         for x in range(9):
             self.add_trade(
                 str(x),
-                "EUR_USD",
+                f"EUR_USD{x}",  # Vary symbol to prevent max open trades per symbol
                 "long",
                 f"2023-02-13T12:39:1{x}.302917985Z",
             )
@@ -395,7 +434,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
 
     @patch("core.trading.active_management.ActiveManagement.handle_violation")
     def test_max_open_trades_per_symbol_violated(self, handle_violation):
-        for x in range(2):
+        for x in range(4):
             self.add_trade(
                 str(x),
                 "EUR_USD",
@@ -408,11 +447,102 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
             "max_open_trades_per_symbol",
             handle_violation.call_args_list,
             "close",
-            self.trades[2:],  # Only close newer trades
+            self.trades[5:],  # Only close newer trades
         )
 
-    def test_max_loss_violated(self):
-        pass
+    # Mock position size as we have no way of checking the balance at the start of the
+    # trade.
+    # TODO: Fix this when we have a way of checking the balance at the start of the
+    # trade.
+    # Max risk is also mocked as this puts us over the limit, due to the low account
+    # size.
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_max_risk",
+        return_value=None,
+    )
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_position_size",
+        return_value=None,
+    )
+    @patch("core.trading.active_management.ActiveManagement.handle_violation")
+    def test_max_loss_violated(
+        self, handle_violation, check_position_size, check_max_risk
+    ):
+        self.balance = D("1")
+        self.balance_usd = D("0.69")
+        self.ams.run_checks()
 
-    def test_max_risk_violated(self):
-        pass
+        self.check_violation(
+            "max_loss",
+            handle_violation.call_args_list,
+            "close",
+            [None],
+        )
+
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_position_size",
+        return_value=None,
+    )
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_protection",
+        return_value=None,
+    )
+    @patch("core.trading.active_management.ActiveManagement.handle_violation")
+    def test_max_risk_violated(
+        self, handle_violation, check_protection, check_position_size
+    ):
+        self.add_trade(
+            "20085",
+            "EUR_USD",
+            "long",
+            "2023-02-13T15:39:19.302917985Z",
+        )
+        self.trades[2]["stopLossOrder"]["price"] = "0.001"
+        self.trades[2]["currentUnits"] = "13000"
+
+        self.ams.run_checks()
+
+        self.check_violation(
+            "max_risk",
+            handle_violation.call_args_list,
+            "close",
+            [self.trades[2]],
+        )
+
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_position_size",
+        return_value=None,
+    )
+    @patch(
+        "core.trading.active_management.ActiveManagement.check_protection",
+        return_value=None,
+    )
+    @patch("core.trading.active_management.ActiveManagement.handle_violation")
+    def test_max_risk_violated_multiple(
+        self, handle_violation, check_protection, check_position_size
+    ):
+        self.add_trade(
+            "20085",
+            "EUR_USD",
+            "long",
+            "2023-02-13T15:39:19.302917985Z",
+        )
+        self.add_trade(
+            "20086",
+            "EUR_USD",
+            "long",
+            "2023-02-13T15:45:19.302917985Z",
+        )
+        self.trades[2]["stopLossOrder"]["price"] = "0.001"
+        self.trades[2]["currentUnits"] = "13000"
+        self.trades[3]["stopLossOrder"]["price"] = "0.001"
+        self.trades[3]["currentUnits"] = "13000"
+
+        self.ams.run_checks()
+
+        self.check_violation(
+            "max_risk",
+            handle_violation.call_args_list,
+            "close",
+            [self.trades[2], self.trades[3]],
+        )

core/tests/trading/test_checks.py

@@ -1,18 +1,7 @@
-from datetime import time
-
 import freezegun
 from django.test import TestCase
 
-from core.models import (
-    Account,
-    Hook,
-    OrderSettings,
-    RiskModel,
-    Signal,
-    Strategy,
-    TradingTime,
-    User,
-)
+from core.models import Account, Hook, Signal, User
 from core.tests.helpers import StrategyMixin
 from core.trading import checks
 

core/tests/trading/test_risk.py

@@ -1,9 +1,8 @@
 from django.test import TestCase
 
+import core.trading.market  # noqa # to avoid messy circular import
 from core.exchanges import convert
 from core.models import RiskModel, User
-import core.trading.market  # to avoid messy circular import
-
 from core.trading import risk
 
 

core/trading/active_management.py

@@ -1,14 +1,13 @@
+from copy import deepcopy
 from datetime import datetime
 from decimal import Decimal as D
 
-import core.trading.market  # to avoid messy circular import
 from core.exchanges.convert import (
     convert_trades,
-    side_to_direction,
     sl_percent_to_price,
     tp_percent_to_price,
 )
-from core.trading import assetfilter, checks, risk
+from core.trading import assetfilter, checks, market, risk
 from core.trading.crossfilter import crossfilter
 from core.trading.market import get_base_quote, get_trade_size_in_base
 
@@ -20,17 +19,28 @@ class ActiveManagement(object):
 
         self.trades = []
         self.balance = None
+        self.balance_usd = None
 
     def get_trades(self):
         if not self.trades:
             self.trades = self.strategy.account.client.get_all_open_trades()
         return self.trades
 
-    def get_balance(self):
-        if self.balance is None:
-            self.balance = self.strategy.account.client.get_balance()
+    def get_balance(self, return_usd=False):
+        if return_usd:
+            if self.balance_usd is None:
+                self.balance_usd = self.strategy.account.client.get_balance(
+                    return_usd=True
+                )
+            else:
+                return self.balance_usd
         else:
-            return self.balance
+            if self.balance is None:
+                self.balance = self.strategy.account.client.get_balance(
+                    return_usd=False
+                )
+            else:
+                return self.balance
 
     def handle_violation(self, check_type, action, trade, **kwargs):
         print("VIOLATION", check_type, action, trade, kwargs)
@@ -54,8 +64,10 @@ class ActiveManagement(object):
     def check_position_size(self, trade):
         """
         Check the position size is within the allowed deviation.
-        WARNING: This uses the current balance, not the balance at the time of the trade.
-        WARNING: This uses the current symbol prices, not those at the time of the trade.
+        WARNING: This uses the current balance, not the balance at the time of the
+        trade.
+        WARNING: This uses the current symbol prices, not those at the time of the
+        trade.
         This should normally be run every 5 seconds, so this is fine.
         """
         # TODO: add the trade value to the balance
@@ -86,10 +98,12 @@ class ActiveManagement(object):
     def check_protection(self, trade):
         deviation = D(0.05)  # 5%
 
+        # fmt: off
         matches = {
             "stop_loss_percent": self.strategy.order_settings.stop_loss_percent,
             "take_profit_percent": self.strategy.order_settings.take_profit_percent,
-            "trailing_stop_percent": self.strategy.order_settings.trailing_stop_loss_percent,
+            "trailing_stop_percent":
+                self.strategy.order_settings.trailing_stop_loss_percent,
         }
 
         violations = {}
@@ -155,7 +169,7 @@ class ActiveManagement(object):
                 )
 
     def get_sorted_trades_copy(self, trades, reverse=True):
-        trades_copy = trades.copy()
+        trades_copy = deepcopy(trades)
         # sort by open time, newest first
         trades_copy.sort(
             key=lambda x: datetime.strptime(x["open_time"], "%Y-%m-%dT%H:%M:%S.%fZ"),
@@ -170,7 +184,8 @@ class ActiveManagement(object):
 
         iterations = 0
         finished = []
-        # Recursively run crossfilter on the newest-first list until we have no more conflicts
+        # Recursively run crossfilter on the newest-first list until we have no more
+        # conflicts
         while not len(finished) == len(trades):
             iterations += 1
             if iterations > 10000:
@@ -207,17 +222,7 @@ class ActiveManagement(object):
                     close_trades.append(trade)
         if not close_trades:
             return
-        # For each conflicting symbol, identify the oldest trades
-        # removed_trades = []
-        # for symbol in conflict:
-        #     newest_trade = max(conflict, key=lambda x: datetime.strptime(x["open_time"], "%Y-%m-%dT%H:%M:%S.%fZ"))
-        #     removed_trades.append(newest_trade)
-        # print("KEEP TRADES", keep_trade_ids)
-        # close_trades = []
-        # for x in keep_trade_ids:
-        #     for position in conflict[x]:
-        #         if position["id"] not in keep_trade_ids[x]:
-        #             close_trades.append(position)
+
         if close_trades:
             for trade in close_trades:
                 self.handle_violation(
@@ -225,57 +230,90 @@ class ActiveManagement(object):
                 )
 
     def check_max_open_trades(self, trades):
-        if self.strategy.risk_model is not None:
-            max_open_pass = risk.check_max_open_trades(self.strategy.risk_model, trades)
-            if not max_open_pass:
-                trades_copy = self.get_sorted_trades_copy(trades, reverse=False)
-                print("TRADES COPY", [x["id"] for x in trades_copy])
-                print("MAX", self.strategy.risk_model.max_open_trades)
-                trades_over_limit = trades_copy[
-                    self.strategy.risk_model.max_open_trades :
-                ]
-                for trade in trades_over_limit:
-                    self.handle_violation(
-                        "max_open_trades",
-                        self.policy.when_max_open_trades_violated,
-                        trade,
-                    )
-                print("TRADES OVER LIMNIT", trades_over_limit)
+        if self.strategy.risk_model is None:
+            return
+        max_open_pass = risk.check_max_open_trades(self.strategy.risk_model, trades)
+        if not max_open_pass:
+            trades_copy = self.get_sorted_trades_copy(trades, reverse=False)
+            # fmt: off
+            trades_over_limit = trades_copy[self.strategy.risk_model.max_open_trades:]
+            for trade in trades_over_limit:
+                self.handle_violation(
+                    "max_open_trades",
+                    self.policy.when_max_open_trades_violated,
+                    trade,
+                )
 
     def check_max_open_trades_per_symbol(self, trades):
-        if self.strategy.risk_model is not None:
-            max_open_pass = risk.check_max_open_trades_per_symbol(
-                self.strategy.risk_model, trades, return_symbols=True
-            )
-            print("max_open_pass", max_open_pass)
-            max_open_pass = list(max_open_pass)
-            print("MAX OPEN PASS", max_open_pass)
-            if max_open_pass:
-                trades_copy = self.get_sorted_trades_copy(trades, reverse=False)
-                trades_over_limit = []
-                for symbol in max_open_pass:
-                    print("SYMBOL", symbol)
-                    print("TRADES", trades)
-                    symbol_trades = [x for x in trades_copy if x["symbol"] == symbol]
-                    exceeding_limit = symbol_trades[
-                        self.strategy.risk_model.max_open_trades_per_symbol :
-                    ]
-                    for x in exceeding_limit:
-                        trades_over_limit.append(x)
-
-                for trade in trades_over_limit:
-                    self.handle_violation(
-                        "max_open_trades_per_symbol",
-                        self.policy.when_max_open_trades_violated,
-                        trade,
-                    )
-                print("TRADES OVER LIMNIT", trades_over_limit)
+        if self.strategy.risk_model is None:
+            return
+        max_open_pass = risk.check_max_open_trades_per_symbol(
+            self.strategy.risk_model, trades, return_symbols=True
+        )
+        max_open_pass = list(max_open_pass)
+        if max_open_pass:
+            trades_copy = self.get_sorted_trades_copy(trades, reverse=False)
+            trades_over_limit = []
+            for symbol in max_open_pass:
+                symbol_trades = [x for x in trades_copy if x["symbol"] == symbol]
+                # fmt: off
+                exceeding_limit = symbol_trades[
+                    self.strategy.risk_model.max_open_trades_per_symbol:
+                ]
+                for x in exceeding_limit:
+                    trades_over_limit.append(x)
+
+            for trade in trades_over_limit:
+                self.handle_violation(
+                    "max_open_trades_per_symbol",
+                    self.policy.when_max_open_trades_violated,
+                    trade,
+                )
 
     def check_max_loss(self):
-        check_passed = risk.check_max_loss(self.strategy.risk_model, self.strategy.account.initial_balance, self.get_balance())
+        if self.strategy.risk_model is None:
+            return
+        check_passed = risk.check_max_loss(
+            self.strategy.risk_model,
+            self.strategy.account.initial_balance,
+            self.get_balance(),
+        )
+        if not check_passed:
+            self.handle_violation(
+                "max_loss", self.policy.when_max_loss_violated, None  # Close all trades
+            )
 
     def check_max_risk(self, trades):
-        pass
+        if self.strategy.risk_model is None:
+            return
+        close_trades = []
+
+        trades_copy = self.get_sorted_trades_copy(trades, reverse=False)
+        market.convert_trades_to_usd(self.strategy.account, trades_copy)
+
+        iterations = 0
+        finished = False
+        while not finished:
+            iterations += 1
+            if iterations > 10000:
+                raise Exception("Too many iterations")
+
+            check_passed = risk.check_max_risk(
+                self.strategy.risk_model,
+                self.get_balance(return_usd=True),
+                trades_copy,
+            )
+            if check_passed:
+                finished = True
+            else:
+                # Add the newest trade to close_trades and remove it from trades_copy
+                close_trades.append(trades_copy[-1])
+                trades_copy = trades_copy[:-1]
+        if close_trades:
+            for trade in close_trades:
+                self.handle_violation(
+                    "max_risk", self.policy.when_max_risk_violated, trade
+                )
 
     def run_checks(self):
         converted_trades = convert_trades(self.get_trades())

core/trading/market.py

@@ -20,7 +20,7 @@ def convert_trades_to_usd(account, trades):
     :return: List of trades, with amount_usd added
     """
     for trade in trades:
-        amount = trade["amount"]
+        amount = D(trade["amount"])
         symbol = trade["symbol"]
         side = trade["side"]
         direction = side_to_direction(side)

core/trading/risk.py

@@ -26,6 +26,7 @@ def check_max_risk(risk_model, account_balance_usd, account_trades):
     # Calculate the max risk of the account in USD
     max_risk_usd = account_balance_usd * (max_risk_percent / D(100))
     total_risk = 0
+
     for trade in account_trades:
         max_tmp = []
         # Need to calculate the max risk in base account currency
@@ -36,7 +37,8 @@ def check_max_risk(risk_model, account_balance_usd, account_trades):
         if "trailing_stop_loss_usd" in trade:
             max_tmp.append(trade["trailing_stop_loss_usd"])
         if max_tmp:
-            total_risk += max(max_tmp)
+            max_risk = max(max_tmp)
+            total_risk += max_risk
 
     allowed = total_risk < max_risk_usd
     return allowed
@@ -59,7 +61,6 @@ def check_max_open_trades_per_symbol(risk_model, account_trades, return_symbols=
         if symbol not in symbol_map:
             symbol_map[symbol] = 0
         symbol_map[symbol] += 1
-    print("Symbol map: ", symbol_map)
     violating_symbols = []
     for symbol, count in symbol_map.items():
         if count >= risk_model.max_open_trades_per_symbol: