Write protection check tests
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@ -103,6 +103,30 @@ def tp_price_to_percent(tp_price, side, current_price, current_units, unrealised
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return round(change_percent, 5)
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def tp_percent_to_price(tp_percent, side, current_price, current_units, unrealised_pl):
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"""
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Determine the price of the TP percent from the initial price.
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"""
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pl_per_unit = D(unrealised_pl) / D(current_units)
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if side == "long":
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initial_price = D(current_price) - pl_per_unit
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else:
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initial_price = D(current_price) + pl_per_unit
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# Get the percent change of the TP price from the initial price.
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change_percent = D(tp_percent) / 100
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# Get the price of the TP percent from the initial price.
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change_price = initial_price * change_percent
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if side == "long":
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tp_price = initial_price - change_price
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else:
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tp_price = initial_price + change_price
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return round(tp_price, 5)
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def sl_price_to_percent(sl_price, side, current_price, current_units, unrealised_pl):
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"""
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Determine the percent change of the SL price from the initial price.
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@ -146,6 +170,30 @@ def sl_price_to_percent(sl_price, side, current_price, current_units, unrealised
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return round(change_percent, 5)
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def sl_percent_to_price(sl_percent, side, current_price, current_units, unrealised_pl):
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"""
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Determine the price of the SL percent from the initial price.
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"""
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pl_per_unit = D(unrealised_pl) / D(current_units)
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if side == "long":
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initial_price = D(current_price) - pl_per_unit
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else:
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initial_price = D(current_price) + pl_per_unit
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# Get the percent change of the SL price from the initial price.
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change_percent = D(sl_percent) / 100
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# Get the price of the SL percent from the initial price.
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change_price = initial_price * change_percent
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if side == "long":
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sl_price = initial_price - change_price
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else:
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sl_price = initial_price + change_price
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return round(sl_price, 5)
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def annotate_trade_tp_sl_percent(trade):
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"""
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Annotate the trade with the TP and SL percent.
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@ -228,6 +276,8 @@ def open_trade_to_unified_format(trade):
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"current_price": current_price,
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"pl": unrealised_pl,
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}
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if "openTime" in trade:
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cast["open_time"] = trade["openTime"]
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# Add some extra fields, sometimes we have already looked up the
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# prices and don't need to call convert_trades_to_usd
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# This is mostly for tests, but it can be useful in other places.
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@ -1,8 +1,8 @@
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# Generated by Django 4.1.7 on 2023-02-17 11:50
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import django.db.models.deletion
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from django.conf import settings
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from django.db import migrations, models
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import django.db.models.deletion
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class Migration(migrations.Migration):
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@ -1,7 +1,7 @@
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# Generated by Django 4.1.7 on 2023-02-17 13:16
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from django.db import migrations, models
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import django.db.models.deletion
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from django.db import migrations, models
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class Migration(migrations.Migration):
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@ -1,6 +1,13 @@
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from decimal import Decimal as D
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from django.test import TestCase
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from core.exchanges.convert import sl_price_to_percent, tp_price_to_percent
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from core.exchanges.convert import (
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sl_percent_to_price,
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sl_price_to_percent,
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tp_percent_to_price,
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tp_price_to_percent,
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)
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class CommonTestCase(TestCase):
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@ -247,25 +254,39 @@ class CommonTestCase(TestCase):
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Test that the SL price to percent conversion works for long trades
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when the price has changed, with multiple units, and the SL is at a profit.
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"""
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sl_price = 1.2 # +20%
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sl_price = D(1.2) # +20%
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current_price = 1.1 # +10%
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current_units = 10
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unrealised_pl = 1 # +10%
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expected_percent = -20
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percent = sl_price_to_percent(
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sl_price, "long", current_price, current_units, unrealised_pl
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)
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self.assertEqual(percent, -20)
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self.assertEqual(percent, expected_percent)
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self.assertEqual(
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tp_percent_to_price(
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expected_percent, "long", current_price, current_units, unrealised_pl
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),
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sl_price,
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)
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def test_sl_price_to_percent_change_short_multi_profit(self):
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"""
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Test that the SL price to percent conversion works for short trades
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when the price has changed, with multiple units, and the SL is at a profit.
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"""
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sl_price = 0.8 # -20%
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sl_price = D(0.8) # -20%
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current_price = 0.9 # +10%
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current_units = 10
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unrealised_pl = 1 # +10%
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expected_percent = -20
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percent = sl_price_to_percent(
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sl_price, "short", current_price, current_units, unrealised_pl
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)
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self.assertEqual(percent, -20)
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self.assertEqual(percent, expected_percent)
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self.assertEqual(
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tp_percent_to_price(
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expected_percent, "short", current_price, current_units, unrealised_pl
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),
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sl_price,
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)
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@ -1,10 +1,13 @@
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from unittest.mock import Mock, patch
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from django.test import TestCase
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from core.exchanges.convert import convert_trades
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from core.lib.schemas.oanda_s import parse_time
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from core.models import Account, ActiveManagementPolicy, Hook, Signal, User
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from core.tests.helpers import StrategyMixin, SymbolPriceMock
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from core.trading.active_management import ActiveManagement
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from core.models import User, Account, ActiveManagementPolicy, Hook, Signal
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from unittest.mock import Mock, patch
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from core.lib.schemas.oanda_s import parse_time
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class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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def setUp(self):
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@ -43,7 +46,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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"id": "20083",
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"symbol": "EUR_USD",
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"price": "1.06331",
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"openTime": "2023-02-13T11:38:06.302917985Z", # Monday at 11:38
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"openTime": "2023-02-13T11:38:06.302917985Z", # Monday at 11:38
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"initialUnits": "10",
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"initialMarginRequired": "0.2966",
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"state": "OPEN",
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@ -53,9 +56,9 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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"dividendAdjustment": "0.0000",
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"unrealizedPL": "-0.0008",
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"marginUsed": "0.2966",
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"takeProfitOrder": None,
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"stopLossOrder": None,
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"trailingStopLossOrder": None,
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"takeProfitOrder": {"price": "1.06331"},
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"stopLossOrder": {"price": "1.06331"},
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"trailingStopLossOrder": {"price": "1.06331"},
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"trailingStopValue": None,
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"side": "long",
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},
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@ -63,7 +66,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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"id": "20083",
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"symbol": "EUR_USD",
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"price": "1.06331",
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"openTime": "2023-02-13T11:38:06.302917985Z", # Monday at 11:38
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"openTime": "2023-02-13T11:38:06.302917985Z", # Monday at 11:38
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"initialUnits": "10",
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"initialMarginRequired": "0.2966",
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"state": "OPEN",
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@ -73,12 +76,12 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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"dividendAdjustment": "0.0000",
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"unrealizedPL": "-0.0008",
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"marginUsed": "0.2966",
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"takeProfitOrder": None,
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"stopLossOrder": None,
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"trailingStopLossOrder": None,
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"takeProfitOrder": {"price": "1.06331"},
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"stopLossOrder": {"price": "1.06331"},
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"trailingStopLossOrder": {"price": "1.06331"},
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"trailingStopValue": None,
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"side": "long",
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}
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},
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]
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# Run parse_time on all items in trades
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for trade in self.trades:
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@ -86,7 +89,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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self.ams.get_trades = self.fake_get_trades
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self.ams.get_balance = self.fake_get_balance
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# self.ams.trades = self.trades
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def fake_get_trades(self):
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self.ams.trades = self.trades
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return self.trades
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@ -105,7 +108,9 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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balance = self.ams.get_balance()
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self.assertEqual(balance, 10000)
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def check_violation(self, violation, calls, expected_action, expected_trades):
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def check_violation(
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self, violation, calls, expected_action, expected_trades, expected_args=None
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):
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"""
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Check that the violation was called with the expected action and trades.
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Matches the first argument of the call to the violation name.
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@ -113,6 +118,7 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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:param: calls: list of calls to the violation
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:param: expected_action: expected action to be called, close, notify, etc.
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:param: expected_trades: list of expected trades to be passed to the violation
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:param: expected_args: optional, expected args to be passed to the violation
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"""
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calls = list(calls)
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violation_calls = []
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@ -121,22 +127,28 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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violation_calls.append(call)
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self.assertEqual(len(violation_calls), len(expected_trades))
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expected_trades = convert_trades(expected_trades)
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for call in violation_calls:
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# Ensure the correct action has been called, like close
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self.assertEqual(call[0][1], expected_action)
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# Ensure the correct trade has been passed to the violation
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self.assertIn(call[0][2], expected_trades)
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if expected_args:
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self.assertEqual(call[0][3], expected_args)
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@patch("core.trading.active_management.ActiveManagement.handle_violation")
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def test_run_checks(self, handle_violation):
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self.ams.run_checks()
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print("handle_violation.call_count", handle_violation.call_args_list)
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self.assertEqual(handle_violation.call_count, 0)
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@patch("core.trading.active_management.ActiveManagement.handle_violation")
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def test_trading_time_violated(self, handle_violation):
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self.trades[0]["openTime"] = "2023-02-17T11:38:06.302917Z" # Friday
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self.trades[0]["openTime"] = "2023-02-17T11:38:06.302917Z" # Friday
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self.ams.run_checks()
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self.check_violation("trading_time", handle_violation.call_args_list, "close", [self.trades[0]])
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self.check_violation(
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"trading_time", handle_violation.call_args_list, "close", [self.trades[0]]
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)
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def create_hook_signal(self):
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hook = Hook.objects.create(
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@ -158,7 +170,9 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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self.strategy.trends = {"EUR_USD": "sell"}
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self.strategy.save()
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self.ams.run_checks()
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self.check_violation("trends", handle_violation.call_args_list, "close", self.trades)
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self.check_violation(
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"trends", handle_violation.call_args_list, "close", self.trades
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)
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@patch("core.trading.active_management.ActiveManagement.handle_violation")
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def test_trends_violated_none(self, handle_violation):
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@ -175,19 +189,27 @@ class ActiveManagementTestCase(StrategyMixin, SymbolPriceMock, TestCase):
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self.strategy.trend_signals.set([signal])
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self.strategy.trends = {"EUR_USD": "sell"}
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self.strategy.save()
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# Change the side of the first trade to match the trends
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self.trades[0]["side"] = "short"
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self.ams.run_checks()
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self.check_violation("trends", handle_violation.call_args_list, "close", [self.trades[1]])
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self.check_violation(
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"trends", handle_violation.call_args_list, "close", [self.trades[1]]
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)
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@patch("core.trading.active_management.ActiveManagement.handle_violation")
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def test_position_size_violated(self, handle_violation):
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self.trades[0]["currentUnits"] = "100000"
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self.ams.run_checks()
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self.check_violation("position_size", handle_violation.call_args_list, "close", [self.trades[0]])
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self.check_violation(
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"position_size",
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handle_violation.call_args_list,
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"close",
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[self.trades[0]],
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{"size": 50},
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)
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def test_protection_violated(self):
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pass
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@ -1,7 +1,7 @@
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from datetime import datetime
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from decimal import Decimal as D
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from core.exchanges.convert import side_to_direction
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from core.exchanges.convert import convert_trades, side_to_direction
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from core.trading import checks
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from core.trading.market import get_base_quote, get_trade_size_in_base
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@ -25,11 +25,11 @@ class ActiveManagement(object):
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else:
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return self.balance
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def handle_violation(self, check_type, action, trade):
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print("VIOLATION", check_type, action, trade)
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def handle_violation(self, check_type, action, trade, **kwargs):
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print("VIOLATION", check_type, action, trade, kwargs)
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def check_trading_time(self, trade):
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open_ts = trade["openTime"]
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open_ts = trade["open_time"]
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open_ts_as_date = datetime.strptime(open_ts, "%Y-%m-%dT%H:%M:%S.%fZ")
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trading_time_pass = checks.within_trading_times(self.strategy, open_ts_as_date)
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if not trading_time_pass:
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@ -38,40 +38,80 @@ class ActiveManagement(object):
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)
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def check_trends(self, trade):
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direction = side_to_direction(trade["side"])
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direction = trade["direction"]
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symbol = trade["symbol"]
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trends_pass = checks.within_trends(self.strategy, symbol, direction)
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if not trends_pass:
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print("VIOLATION", "trends", self.policy.when_trends_violated, trade)
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self.handle_violation("trends", self.policy.when_trends_violated, trade)
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def check_position_size(self, trade):
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"""
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Check the position size is within the allowed deviation.
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WARNING: This uses the current balance, not the balance at the time of the trade.
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WARNING: This uses the current symbol prices, not those at the time of the trade.
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This should normally be run every 5 seconds, so this is fine.
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"""
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# TODO: add the trade value to the balance
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# Need to determine which prices to use
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balance = self.get_balance()
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print("BALANCE", balance)
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direction = side_to_direction(trade["side"])
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direction = trade["direction"]
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symbol = trade["symbol"]
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# TODO:
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base, quote = get_base_quote(self.strategy.account.exchange, symbol)
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expected_trade_size = get_trade_size_in_base(
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direction, self.strategy.account, self.strategy, balance, base
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)
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print("TRADE SIZE", expected_trade_size)
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deviation = D(0.05) # 5%
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actual_trade_size = D(trade["currentUnits"])
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actual_trade_size = D(trade["amount"])
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# Ensure the trade size not above the expected trade size by more than 5%
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max_trade_size = expected_trade_size + (deviation * expected_trade_size)
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within_max_trade_size = actual_trade_size <= max_trade_size
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if not within_max_trade_size:
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self.handle_violation(
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"position_size", self.policy.when_position_size_violated, trade
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"position_size",
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self.policy.when_position_size_violated,
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trade,
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{"size": expected_trade_size},
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)
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def check_protection(self, trade):
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print("CHECK PROTECTION", trade)
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deviation = D(0.05) # 5%
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matches = {
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"stop_loss_percent": self.strategy.order_settings.stop_loss_percent,
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"take_profit_percent": self.strategy.order_settings.take_profit_percent,
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"trailing_stop_percent": self.strategy.order_settings.trailing_stop_loss_percent,
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}
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violations = {}
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for key, expected in matches.items():
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if key in trade:
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actual = D(trade[key])
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if expected is None:
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continue
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expected = D(expected)
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min_val = expected - (deviation * expected)
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max_val = expected + (deviation * expected)
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within_deviation = min_val <= actual <= max_val
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if not within_deviation:
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violations[key] = expected
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if violations:
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self.handle_violation(
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"protection", self.policy.when_protection_violated, trade, violations
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)
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def run_checks(self):
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for trade in self.get_trades():
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converted_trades = convert_trades(self.get_trades())
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for trade in converted_trades:
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self.check_trading_time(trade)
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self.check_trends(trade)
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self.check_position_size(trade)
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self.check_protection(trade)
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# Trading Time
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# Max loss
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@ -53,9 +53,7 @@ def within_max_loss(strategy):
|
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|
||||
|
||||
def within_trends(strategy, symbol, direction):
|
||||
print("WITHIN TRENDS", symbol, direction)
|
||||
if strategy.trend_signals.exists():
|
||||
print("TREND SIGNALS EXIST")
|
||||
if strategy.trends is None:
|
||||
log.debug("Refusing to trade with no trend signals received")
|
||||
sendmsg(
|
||||
|
|
Loading…
Reference in New Issue