From c1259752f6ad1624f1f3893a864d78708a6f03a9 Mon Sep 17 00:00:00 2001 From: PyPI Poetry Publish Bot Date: Tue, 11 Nov 2025 12:09:21 +0000 Subject: [PATCH 1/6] Change version to v7.19.9 --- __init__.py | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/__init__.py b/__init__.py index f1d65ee2..a3ad296d 100644 --- a/__init__.py +++ b/__init__.py @@ -1 +1 @@ -__version__='v7.19.8' +__version__='v7.19.9' diff --git a/pyproject.toml b/pyproject.toml index 40752e5c..5b5b1246 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "investing-algorithm-framework" -version = "v7.19.8" +version = "v7.19.9" description = "A framework for creating trading bots" authors = ["MDUYN"] readme = "README.md" From d2a70bdfa94d36ed8d5668c6d71679c56018a692 Mon Sep 17 00:00:00 2001 From: marcvanduyn Date: Thu, 13 Nov 2025 15:52:32 +0100 Subject: [PATCH 2/6] Add metrics tests --- .../domain/models/backtesting/test_combine.py | 34 +- .../test_data/backtests/backtest_one/id.json | 3 + .../backtests/backtest_one/metadata.json | 20 + .../backtest_one/risk_free_rate.json | 3 + .../metrics.json | 11978 ++ .../backtest_EUR_20220101_20240101/run.json | 1 + .../metrics.json | 108338 ++++++++++++++ .../backtest_EUR_20220105_20240105/run.json | 1 + .../metrics.json | 11978 ++ .../backtest_EUR_20221218_20241217/run.json | 1 + .../backtests/backtest_one/summary.json | 37 + .../test_data/backtests/backtest_two/id.json | 3 + .../backtests/backtest_two/metadata.json | 20 + .../backtest_two/risk_free_rate.json | 3 + .../metrics.json | 11978 ++ .../backtest_EUR_20220101_20240101/run.json | 1 + .../metrics.json | 108358 +++++++++++++++ .../backtest_EUR_20220105_20240105/run.json | 1 + .../metrics.json | 11998 ++ .../backtest_EUR_20221218_20241217/run.json | 1 + .../backtests/backtest_two/summary.json | 37 + .../metrics/test_average_trade_gain.py | 99 + .../metrics/test_average_trade_loss.py | 99 + .../metrics/test_average_trade_return.py | 98 + tests/services/metrics/test_volatility.py | 76 + 25 files changed, 265165 insertions(+), 1 deletion(-) create mode 100644 tests/resources/test_data/backtests/backtest_one/id.json create mode 100644 tests/resources/test_data/backtests/backtest_one/metadata.json create mode 100644 tests/resources/test_data/backtests/backtest_one/risk_free_rate.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20220101_20240101/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20220101_20240101/run.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20220105_20240105/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20220105_20240105/run.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20221218_20241217/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20221218_20241217/run.json create mode 100644 tests/resources/test_data/backtests/backtest_one/summary.json create mode 100644 tests/resources/test_data/backtests/backtest_two/id.json create mode 100644 tests/resources/test_data/backtests/backtest_two/metadata.json create mode 100644 tests/resources/test_data/backtests/backtest_two/risk_free_rate.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20220101_20240101/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20220101_20240101/run.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20220105_20240105/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20220105_20240105/run.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20221218_20241217/metrics.json create mode 100644 tests/resources/test_data/backtests/backtest_two/runs/backtest_EUR_20221218_20241217/run.json create mode 100644 tests/resources/test_data/backtests/backtest_two/summary.json create mode 100644 tests/services/metrics/test_average_trade_gain.py create mode 100644 tests/services/metrics/test_average_trade_loss.py create mode 100644 tests/services/metrics/test_average_trade_return.py create mode 100644 tests/services/metrics/test_volatility.py diff --git a/tests/domain/models/backtesting/test_combine.py b/tests/domain/models/backtesting/test_combine.py index 3aa447fd..428c85a4 100644 --- a/tests/domain/models/backtesting/test_combine.py +++ b/tests/domain/models/backtesting/test_combine.py @@ -1,10 +1,25 @@ +import os from unittest import TestCase from investing_algorithm_framework.domain import BacktestMetrics, \ - BacktestSummaryMetrics, Trade, generate_backtest_summary_metrics + BacktestSummaryMetrics, Trade, generate_backtest_summary_metrics, \ + combine_backtests, Backtest from datetime import datetime, date class TestCombine(TestCase): + def setUp(self): + self.resource_directory = os.path.abspath( + os.path.join(os.path.dirname(__file__), '..', '..', '..', 'resources') + ) + self.test_data_directory = os.path.join( + self.resource_directory, + "test_data" + ) + self.test_backtests_directory = os.path.join( + self.test_data_directory, + "backtests" + ) + def test_add(self): # Metrics one: a winning backtest metrics_one = BacktestMetrics( @@ -148,3 +163,20 @@ def test_add(self): # Extreme metrics self.assertEqual(summary.max_drawdown, 0.2) # worst of the two self.assertEqual(summary.max_drawdown_duration, 30) # longest + + def test_add_from_storage(self): + backtest_one_path = os.path.join( + self.test_backtests_directory, + "backtest_one" + ) + backtest_two_path = os.path.join( + self.test_backtests_directory, + "backtest_two" + ) + backtest_one = Backtest.open(backtest_one_path) + backtest_two = Backtest.open(backtest_two_path) + + self.assertEqual(3, len(backtest_one.get_all_backtest_runs())) + self.assertEqual(3, len(backtest_two.get_all_backtest_runs())) + backtest = combine_backtests([backtest_one, backtest_two]) + self.assertEqual(6, len(backtest.get_all_backtest_runs())) diff --git a/tests/resources/test_data/backtests/backtest_one/id.json b/tests/resources/test_data/backtests/backtest_one/id.json new file mode 100644 index 00000000..5642e9e0 --- /dev/null +++ b/tests/resources/test_data/backtests/backtest_one/id.json @@ -0,0 +1,3 @@ +{ + "id": "c1becef7-85a6-4a73-aa9b-dbdfcfc1cbe3" +} \ No newline at end of file diff --git a/tests/resources/test_data/backtests/backtest_one/metadata.json b/tests/resources/test_data/backtests/backtest_one/metadata.json new file mode 100644 index 00000000..0ab79cd1 --- /dev/null +++ b/tests/resources/test_data/backtests/backtest_one/metadata.json @@ -0,0 +1,20 @@ +{ + "params": { + "macd_short_period": 12, + "macd_long_period": 26, + "macd_signal_period": 9, + "close_timeframe": "2h", + "macd_timeframe": "1D", + "stochastic_timeframe": "1D", + "stochastic_k_period": 14, + "stochastic_d_period": 3, + "stochastic_k_slowing": 3, + "stochastic_lookback_window_size": 12, + "number_of_neighbors_to_compare": 3, + "min_consecutive": 2, + "stochastic_oversold_threshold": 15, + "stochastic_overbought_threshold": 80, + "divergence_lookback_window_size": 6 + }, + "id": "e19c509c" +} \ No newline at end of file diff --git a/tests/resources/test_data/backtests/backtest_one/risk_free_rate.json b/tests/resources/test_data/backtests/backtest_one/risk_free_rate.json new file mode 100644 index 00000000..b27e39a6 --- /dev/null +++ b/tests/resources/test_data/backtests/backtest_one/risk_free_rate.json @@ -0,0 +1,3 @@ +{ + "risk_free_rate": 0.027 +} \ No newline at end of file diff --git a/tests/resources/test_data/backtests/backtest_one/runs/backtest_EUR_20220101_20240101/metrics.json 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"EUR", "order_side": "SELL", "order_type": "LIMIT", "status": "CLOSED", "price": 93388.0, "amount": 0.009541074324968991, "created_at": "2024-11-24 00:00:00+00:00", "updated_at": "2024-11-24 00:00:00+00:00", "cost": null, "filled": null, "remaining": null, "order_fee_currency": null, "order_fee_rate": null, "order_fee": null, "metadata": {}}, {"id": "95a93eac-3e06-4a0c-a8ba-f37a269c6990", "external_id": null, "target_symbol": "ADA", "trading_symbol": "EUR", "order_side": "BUY", "order_type": "LIMIT", "status": "CLOSED", "price": 0.22862, "amount": 874.8141020033244, "created_at": "2022-12-31 00:00:00+00:00", "updated_at": "2022-12-31 00:00:00+00:00", "cost": null, "filled": null, "remaining": null, "order_fee_currency": null, "order_fee_rate": null, "order_fee": null, "metadata": {}}, {"id": "6a28b4bb-7d53-415e-b10c-9636477b7450", "external_id": null, "target_symbol": "SOL", "trading_symbol": "EUR", "order_side": "BUY", "order_type": "LIMIT", "status": "CLOSED", "price": 8.9103, "amount": 22.44593335802386, "created_at": "2022-12-30 00:00:00+00:00", "updated_at": "2022-12-30 00:00:00+00:00", "cost": null, "filled": null, "remaining": null, "order_fee_currency": null, "order_fee_rate": null, "order_fee": null, "metadata": {}}, {"id": "fe5de8ee-80bb-49bb-bd03-c30e18f5eaba", "external_id": null, "target_symbol": "SOL", "trading_symbol": "EUR", "order_side": "SELL", "order_type": "LIMIT", "status": "CLOSED", "price": 165.7, "amount": 22.44593335802386, "created_at": "2024-07-22 00:00:00+00:00", "updated_at": "2024-07-22 00:00:00+00:00", "cost": null, "filled": null, "remaining": null, "order_fee_currency": null, "order_fee_rate": null, "order_fee": null, "metadata": {}}, {"id": "bdae71bf-aad8-47ef-a802-28e87157df43", "external_id": null, "target_symbol": "DOT", "trading_symbol": "EUR", "order_side": "BUY", "order_type": "LIMIT", "status": "CLOSED", "price": 3.4503, "amount": 57.965973973277684, "created_at": "2023-10-20 00:00:00+00:00", "updated_at": "2023-10-20 00:00:00+00:00", "cost": null, "filled": null, "remaining": null, "order_fee_currency": null, "order_fee_rate": null, "order_fee": null, "metadata": {}}], "positions": [], "created_at": "2025-11-05 14:08:21", "symbols": ["BTC", "ETH", "ADA", "SOL", "DOT"], "number_of_days": 0, "number_of_trades": 4, "number_of_trades_closed": 2, "number_of_trades_open": 2, "number_of_orders": 6, "number_of_positions": 4, "metadata": {}} \ No newline at end of file diff --git a/tests/resources/test_data/backtests/backtest_two/summary.json b/tests/resources/test_data/backtests/backtest_two/summary.json new file mode 100644 index 00000000..0a9ee43f --- /dev/null +++ b/tests/resources/test_data/backtests/backtest_two/summary.json @@ -0,0 +1,37 @@ +{ + "total_net_gain": 3081.802582977747, + "total_net_gain_percentage": 3.0818025829777467, + "total_growth": 3081.802582977747, + "total_growth_percentage": 3.0818025829777467, + "total_loss": 0, + "total_loss_percentage": 0.0, + "average_loss": null, + "average_loss_percentage": 0.0, + "average_net_gain": 1540.9012914888733, + "average_net_gain_percentage": 1.5409012914888736, + "average_growth": 1540.9012914888733, + "average_growth_percentage": 1.5409012914888736, + "average_trade_return": 666.8349814152465, + "average_trade_return_percentage": 3.3341749070762323, + "average_trade_loss": 0.0, + "average_trade_loss_percentage": 0.0, + "average_trade_gain": 1027.2675276592488, + "average_trade_gain_percentage": 5.1363376382962445, + "cagr": 0.5874334408065429, + "sharpe_ratio": 1.6096719831662891, + "sortino_ratio": 2.289878305746343, + "calmar_ratio": 2.444876541173715, + "profit_factor": Infinity, + "annual_volatility": 0.304571940370583, + "max_drawdown": 0.2832268770031596, + "max_drawdown_duration": 223, + "trades_per_year": 0.750513698630137, + "win_rate": 0.5, + "current_win_rate": 1.0, + "win_loss_ratio": 0.0, + "current_win_loss_ratio": 0.0, + "number_of_trades": 3, + "number_of_trades_closed": 1, + "cumulative_exposure": 0.9116438356164384, + "exposure_ratio": 0.7068493150684931 +} \ No newline at end of file diff --git a/tests/services/metrics/test_average_trade_gain.py b/tests/services/metrics/test_average_trade_gain.py new file mode 100644 index 00000000..59b35652 --- /dev/null +++ b/tests/services/metrics/test_average_trade_gain.py @@ -0,0 +1,99 @@ +from unittest import TestCase +from datetime import datetime +from investing_algorithm_framework.services import get_average_trade_gain +from investing_algorithm_framework.domain import Trade + + +class TestAverageTradeGainMetrics(TestCase): + + def test_average_trade_gain_calculation(self): + trades = [ + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=150, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=200, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-50, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + ] + + # Average gain should not consider losing trades + average_gain, percentage = get_average_trade_gain(trades) + + # Average gain = (150 + 200 + 300) / 3 = 216.67 + # Average gain percentage = ((150/100) + (200/100) + (300/100)) / 3 = 2.17 = 217% + self.assertAlmostEqual(average_gain, 216.67, places=2) + self.assertAlmostEqual(percentage, 2.17, places=2) diff --git a/tests/services/metrics/test_average_trade_loss.py b/tests/services/metrics/test_average_trade_loss.py new file mode 100644 index 00000000..7cf87ae2 --- /dev/null +++ b/tests/services/metrics/test_average_trade_loss.py @@ -0,0 +1,99 @@ +from unittest import TestCase +from datetime import datetime +from investing_algorithm_framework.services import get_average_trade_loss +from investing_algorithm_framework.domain import Trade + + +class TestAverageTradeLossMetrics(TestCase): + + def test_average_trade_loss_calculation(self): + trades = [ + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=150, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=200, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-50, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + ] + + # Average gain should only consider losing trades + average_los, percentage = get_average_trade_loss(trades) + + # Average los = (-50 + -300) / 2 = -175 + # Average loss percentage = ((-50/100) + (-300/100)) / 2 = -1.75 + self.assertEqual(average_los, -175) + self.assertEqual(percentage, -1.75) diff --git a/tests/services/metrics/test_average_trade_return.py b/tests/services/metrics/test_average_trade_return.py new file mode 100644 index 00000000..8722032d --- /dev/null +++ b/tests/services/metrics/test_average_trade_return.py @@ -0,0 +1,98 @@ +from unittest import TestCase +from datetime import datetime +from investing_algorithm_framework.services import get_average_trade_return +from investing_algorithm_framework.domain import Trade + + +class TestAverageTradeReturnMetrics(TestCase): + + def test_average_trade_return_calculation(self): + trades = [ + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=150, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=200, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-50, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + Trade( + id=1, + open_price=100, + opened_at=datetime(2020, 1, 1), + closed_at=datetime(2020, 2, 1), + orders=[], + net_gain=-300, + target_symbol="BTC", + trading_symbol="EUR", + amount=1, + available_amount=0, + cost=100, + remaining=0, + filled_amount=1, + status="CLOSED", + ), + ] + + # Average gain should consider all trades, both winning and losing + average_gain, percentage = get_average_trade_return(trades) + + # Average return = (150 + 200 + 300 - 50 - 300) / 5 = 60 + self.assertAlmostEqual(average_gain, 60, places=2) + self.assertAlmostEqual(percentage, 0.6, places=2) diff --git a/tests/services/metrics/test_volatility.py b/tests/services/metrics/test_volatility.py new file mode 100644 index 00000000..79c521d2 --- /dev/null +++ b/tests/services/metrics/test_volatility.py @@ -0,0 +1,76 @@ +from unittest import TestCase +from datetime import datetime, timezone, timedelta, date +from investing_algorithm_framework.services import get_annual_volatility +from investing_algorithm_framework.domain import PortfolioSnapshot + + +class TestVolatilityMetrics(TestCase): + + def test_volatility_metrics_calculation(self): + total_values = [ + 100000, + 101154, + 102949, + 101090, + 99487, + 99936, + 101026, + 103974, + 105320, + 105384, + 103333, + 106602, + 108397, + 107243, + 107373, + 106666, + 107756, + 107307, + 109615, + 108846, + 108589, + 107372 + ] + + dates = [ + date(year=2010, month=9, day=10), + date(year=2010, month=9, day=13), + date(year=2010, month=9, day=14), + date(year=2010, month=9, day=15), + date(year=2010, month=9, day=16), + date(year=2010, month=9, day=17), + date(year=2010, month=9, day=20), + date(year=2010, month=9, day=21), + date(year=2010, month=9, day=22), + date(year=2010, month=9, day=23), + date(year=2010, month=9, day=24), + date(year=2010, month=9, day=27), + date(year=2010, month=9, day=28), + date(year=2010, month=9, day=29), + date(year=2010, month=9, day=30), + date(year=2010, month=10, day=1), + date(year=2010, month=10, day=4), + date(year=2010, month=10, day=5), + date(year=2010, month=10, day=6), + date(year=2010, month=10, day=7), + date(year=2010, month=10, day=8), + date(year=2010, month=10, day=12) + ] + print(len(dates)) + print(len(total_values)) + + snapshots = [ + PortfolioSnapshot( + portfolio_id="test_portfolio", + total_value=val, + created_at=datetime.combine(d, datetime.min.time()).replace(tzinfo=timezone.utc) + ) + for d, val in zip(dates, total_values) + ] + + annual_volatility = get_annual_volatility(snapshots, trading_days_per_year=252) + + # Expected annual volatility = 0.01502 * sqrt(252) ≈ 0.2383 from the + # book trading systems and methods by perry j. kaufman page 42 + expected = 0.01502 * (252 ** 0.5) + self.assertAlmostEqual(annual_volatility, expected, places=2) From 22cd769e41b01f9b13193d8de9006c9a30b39561 Mon Sep 17 00:00:00 2001 From: marcvanduyn Date: Thu, 13 Nov 2025 16:15:17 +0100 Subject: [PATCH 3/6] Fix metrics generation --- investing_algorithm_framework/__init__.py | 5 +- .../domain/backtesting/combine_backtests.py | 32 ++++---- .../services/__init__.py | 3 +- .../services/metrics/__init__.py | 4 +- .../services/metrics/generate.py | 43 +++++++++- .../services/metrics/volatility.py | 78 +++++++++++++------ 6 files changed, 122 insertions(+), 43 deletions(-) diff --git a/investing_algorithm_framework/__init__.py b/investing_algorithm_framework/__init__.py index b9187de0..79d1f2fb 100644 --- a/investing_algorithm_framework/__init__.py +++ b/investing_algorithm_framework/__init__.py @@ -48,7 +48,7 @@ get_current_average_trade_gain, get_current_average_trade_duration, \ get_current_average_trade_loss, get_negative_trades, \ get_positive_trades, get_number_of_trades, get_current_win_rate, \ - get_current_win_loss_ratio + get_current_win_loss_ratio, create_backtest_metrics_for_backtest __all__ = [ @@ -192,5 +192,6 @@ "BacktestRun", "load_backtests_from_directory", "save_backtests_to_directory", - "DataError" + "DataError", + "create_backtest_metrics_for_backtest" ] diff --git a/investing_algorithm_framework/domain/backtesting/combine_backtests.py b/investing_algorithm_framework/domain/backtesting/combine_backtests.py index 7f11761b..2dfc0cf8 100644 --- a/investing_algorithm_framework/domain/backtesting/combine_backtests.py +++ b/investing_algorithm_framework/domain/backtesting/combine_backtests.py @@ -1,7 +1,11 @@ +import logging from typing import List -from .backtest_summary_metrics import BacktestSummaryMetrics +from .backtest import Backtest from .backtest_metrics import BacktestMetrics +from .backtest_summary_metrics import BacktestSummaryMetrics + +logger = logging.getLogger("investing_algorithm_framework") def safe_weighted_mean(values, weights): @@ -41,22 +45,26 @@ def combine_backtests(backtests): backtest_runs = [] for backtest in backtests: - backtest_metric = None - backtest_run = backtest.backtest_runs[0] \ - if len(backtest.backtest_runs) > 0 else None - - if backtest_run is not None: - backtest_metric = backtest_run.backtest_metrics - - if backtest_metric is not None: - backtest_metrics.append(backtest_metric) - backtest_runs.append(backtest_run) + backtest_runs += backtest.get_all_backtest_runs() + backtest_metrics += backtest.get_all_backtest_metrics() summary = generate_backtest_summary_metrics(backtest_metrics) metadata = None risk_free_rate = None + # Check if there are duplicate backtest runs + unique_date_ranges = set() + for backtest in backtests: + for run in backtest.get_all_backtest_runs(): + date_range = (run.start_date, run.end_date) + if date_range in unique_date_ranges: + logger.warning( + "Duplicate backtest run detected for date range: " + f"{date_range} when combining backtests." + ) + unique_date_ranges.add(date_range) + # Get first non-empty metadata for backtest in backtests: if backtest.metadata: @@ -69,8 +77,6 @@ def combine_backtests(backtests): risk_free_rate = backtest.risk_free_rate break - from .backtest import Backtest - backtest = Backtest( backtest_summary=summary, metadata=metadata, diff --git a/investing_algorithm_framework/services/__init__.py b/investing_algorithm_framework/services/__init__.py index 4ae957ca..2f9c3019 100644 --- a/investing_algorithm_framework/services/__init__.py +++ b/investing_algorithm_framework/services/__init__.py @@ -37,7 +37,7 @@ get_positive_trades, get_negative_trades, get_number_of_trades, \ get_current_win_rate, get_current_average_trade_return, \ get_current_average_trade_loss, get_current_average_trade_duration, \ - get_current_average_trade_gain + get_current_average_trade_gain, create_backtest_metrics_for_backtest __all__ = [ "OrderService", @@ -128,4 +128,5 @@ "get_current_average_trade_duration", "get_current_average_trade_gain", "get_current_average_trade_return", + "create_backtest_metrics_for_backtest" ] diff --git a/investing_algorithm_framework/services/metrics/__init__.py b/investing_algorithm_framework/services/metrics/__init__.py index ef8a8c8c..184ec2f7 100644 --- a/investing_algorithm_framework/services/metrics/__init__.py +++ b/investing_algorithm_framework/services/metrics/__init__.py @@ -27,7 +27,8 @@ from .win_rate import get_win_rate, get_win_loss_ratio, get_current_win_rate, \ get_current_win_loss_ratio from .calmar_ratio import get_calmar_ratio -from .generate import create_backtest_metrics +from .generate import create_backtest_metrics, \ + create_backtest_metrics_for_backtest from .risk_free_rate import get_risk_free_rate_us from .trades import get_negative_trades, get_positive_trades, \ get_number_of_trades, get_number_of_closed_trades, \ @@ -109,4 +110,5 @@ "get_current_average_trade_return", "get_number_of_open_trades", "get_average_trade_duration", + "create_backtest_metrics_for_backtest" ] diff --git a/investing_algorithm_framework/services/metrics/generate.py b/investing_algorithm_framework/services/metrics/generate.py index dfab4351..74727ddd 100644 --- a/investing_algorithm_framework/services/metrics/generate.py +++ b/investing_algorithm_framework/services/metrics/generate.py @@ -2,7 +2,7 @@ from logging import getLogger from investing_algorithm_framework.domain import BacktestMetrics, \ - BacktestRun, OperationalException + BacktestRun, OperationalException, Backtest, BacktestDateRange from .cagr import get_cagr from .calmar_ratio import get_calmar_ratio from .drawdown import get_drawdown_series, get_max_drawdown, \ @@ -35,6 +35,47 @@ logger = getLogger("investing_algorithm_framework") +def create_backtest_metrics_for_backtest( + backtest: Backtest, + risk_free_rate: float, metrics: List[str] = None, + backtest_date_range: BacktestDateRange = None +) -> Backtest: + + """ + Create BacktestMetrics for a Backtest object. + + Args: + backtest (Backtest): The Backtest object containing + backtest runs. + risk_free_rate (float): The risk-free rate used in certain + metric calculations. + metrics (List[str], optional): List of metric names to compute. + If None, a default set of metrics will be computed. + backtest_date_range (BacktestDateRange, optional): The date range + for the backtest. If None, all backtest metrics will be computed + for each backtest run. + + Returns: + Backtest: The Backtest object with computed metrics for each run. + """ + if backtest_date_range is not None: + backtest_runs = [ + backtest.get_backtest_run(backtest_date_range) + ] + else: + backtest_runs = backtest.get_all_backtest_runs() + + for backtest_run in backtest_runs: + # If a date range is provided, check if the backtest run falls + # within the range + backtest_metrics = create_backtest_metrics( + backtest_run, risk_free_rate, metrics + ) + backtest_run.backtest_metrics = backtest_metrics + + backtest.backtest_runs = backtest_runs + return backtest + def create_backtest_metrics( backtest_run: BacktestRun, risk_free_rate: float, metrics: List[str] = None diff --git a/investing_algorithm_framework/services/metrics/volatility.py b/investing_algorithm_framework/services/metrics/volatility.py index 7ed9933b..7866280d 100644 --- a/investing_algorithm_framework/services/metrics/volatility.py +++ b/investing_algorithm_framework/services/metrics/volatility.py @@ -5,13 +5,18 @@ annualizes it, giving an estimate of how much the portfolio's value fluctuates on a yearly basis. -| **Annual Volatility** | **Risk Level** | **Typical for...** | **Comments** | -| --------------------- | -------------- | ---------------------------------------------------------------------- | ------------------------------------------------------------------------------- | -| **< 5%** | Very Low Risk | Cash equivalents, short-term bonds | Low return expectations; often used for capital preservation | -| **5% – 10%** | Low Risk | Diversified bond portfolios, conservative allocation strategies | Suitable for risk-averse investors | -| **10% – 15%** | Moderate Risk | Balanced portfolios, large-cap equity indexes (e.g., S\&P 500 ≈ \~15%) | Standard for traditional diversified portfolios | -| **15% – 25%** | High Risk | Growth stocks, hedge funds, active equity strategies | Higher return potential, but more drawdowns | -| **> 25%** | Very High Risk | Crypto, leveraged ETFs, speculative strategies | High potential returns, but prone to large losses; often not suitable long-term | +| **Annual Volatility** | **Risk Level (Standalone)** | **Context Matters: Sharpe Ratio Impact** | **Comments** | +| --------------------- | --------------------------- | ---------------------------------------- | ----------- | +| **< 5%** | Very Low Risk | Sharpe > 2.0 = Excellent
Sharpe < 0.5 = Poor | Low volatility is great unless returns are negative | +| **5% – 10%** | Low Risk | Sharpe > 1.0 = Good
Sharpe < 0.3 = Mediocre | Typical for conservative portfolios | +| **10% – 15%** | Moderate Risk | Sharpe > 0.8 = Good
Sharpe < 0.2 = Risky | S&P 500 benchmark; quality matters | +| **15% – 25%** | High Risk | Sharpe > 0.6 = Acceptable
Sharpe < 0.0 = Avoid | **Example: 30% CAGR + 23% vol = Sharpe ~1.3 = Excellent** | +| **> 25%** | Very High Risk | Sharpe > 0.4 = Maybe acceptable
Sharpe < 0.0 = Dangerous | Only viable with strong positive returns | + + +Key takeaway: Don't interpret volatility in isolation. Always calculate +and compare the Sharpe Ratio to assess true strategy quality. +Your 30% CAGR with 23% volatility is exceptional because the return far outweighs the risk taken. """ @@ -23,20 +28,48 @@ from investing_algorithm_framework.domain import PortfolioSnapshot -def get_annual_volatility(snapshots: List[PortfolioSnapshot]) -> float: +def get_annual_volatility( + snapshots: List[PortfolioSnapshot], + trading_days_per_year=365 +) -> float: """ Calculate the annualized volatility of portfolio net values. + !Important Note: + + Volatility measures variability, not direction. For example: + + A standard deviation of 0.238 (23.8%) means returns swing + wildly around their average, but it doesn't tell you if that average + is positive or negative. + + Two scenarios with the same 23.8% volatility: + Mean return = +15% per year, Std = 23.8% + 16% chance of losing >8.8% (15% - 23.8%) + 16% chance of gaining >38.8% (15% + 23.8%) + This is excellent — high growth with swings + + Mean return = -5% per year, Std = 23.8% + 16% chance of losing >28.8% (-5% - 23.8%) + 16% chance of gaining >18.8% (-5% + 23.8%) + This is terrible — losing money with high risk + + To assess if "always good returns with high std" is perfect, you need + to consider risk-adjusted metrics like the Sharpe Ratio: + Sharpe Ratio = (Mean Return - Risk-Free Rate) / Volatility + Higher is better; tells you return per unit of risk taken + Args: snapshots (List[PortfolioSnapshot]): List of portfolio snapshots from the backtest report. + trading_days_per_year (int): Number of trading days in a year. Returns: Float: Annualized volatility as a float """ if len(snapshots) < 2: - return 0.0 # Not enough data to calculate volatility + return 0.0 # Build DataFrame from snapshots records = [ @@ -44,26 +77,21 @@ def get_annual_volatility(snapshots: List[PortfolioSnapshot]) -> float: ] df = pd.DataFrame(records, columns=['total_value', 'created_at']) df['created_at'] = pd.to_datetime(df['created_at']) - df = df.sort_values('created_at').drop_duplicates('created_at').copy() + df = df.set_index('created_at').sort_index().drop_duplicates() - # Calculate log returns - df['log_return'] = np.log(df['total_value'] / df['total_value'].shift(1)) - df = df.dropna() + # Resample to daily frequency, taking the last value of each day + df_daily = df.resample('D').last() + df_daily = df_daily.dropna() - if df.empty: + if len(df_daily) < 2: return 0.0 - daily_volatility = df['log_return'].std() - - start_date = snapshots[0].created_at - end_date = snapshots[-1].created_at - # Estimate trading days per year based on snapshot frequency - total_days = (end_date - start_date).days - num_observations = len(df) + # Calculate log returns on daily data + df_daily['log_return'] = np.log(df_daily['total_value'] / df_daily['total_value'].shift(1)) + df_daily = df_daily.dropna() - if total_days > 0: - trading_days_per_year = (num_observations / total_days) * 365 - else: - trading_days_per_year = 365 # Default fallback + # Calculate daily volatility (standard deviation of daily returns) + daily_volatility = df_daily['log_return'].std() + # Annualize using trading days per year return daily_volatility * np.sqrt(trading_days_per_year) From bb8cfdb4c1fcd48383bf1984288ed87ca0034a81 Mon Sep 17 00:00:00 2001 From: PyPI Poetry Publish Bot Date: Thu, 13 Nov 2025 15:24:44 +0000 Subject: [PATCH 4/6] Change version to v7.19.10 --- __init__.py | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/__init__.py b/__init__.py index a3ad296d..0bf15df9 100644 --- a/__init__.py +++ b/__init__.py @@ -1 +1 @@ -__version__='v7.19.9' +__version__='v7.19.10' diff --git a/pyproject.toml b/pyproject.toml index 5b5b1246..effbfdf1 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "investing-algorithm-framework" -version = "v7.19.9" +version = "v7.19.10" description = "A framework for creating trading bots" authors = ["MDUYN"] readme = "README.md" From 67c9fc128822ccbecba84e8b6d67a0f244490b10 Mon Sep 17 00:00:00 2001 From: marcvanduyn Date: Fri, 14 Nov 2025 17:39:28 +0100 Subject: [PATCH 5/6] Fix imports --- .../domain/backtesting/backtest_run.py | 19 +++++++++------ .../domain/backtesting/combine_backtests.py | 4 ++-- .../domain/models/order/order.py | 19 +++++++-------- .../models/portfolio/portfolio_snapshot.py | 19 ++++++++------- .../domain/models/trade/trade.py | 23 +++++++++---------- .../infrastructure/repositories/repository.py | 17 +++++++++++++- .../app/reporting/metrics/test_volatility.py | 19 --------------- tests/app/test_add_data_provider.py | 13 +++++++++++ tests/app/test_data_completeness.py | 1 + .../portfolio/test_portfolio_snapshot.py | 2 +- tests/resources/backtest_report/id.json | 2 +- .../metrics.json | 4 ++++ .../backtest_EUR_20230807_20231201/run.json | 2 +- .../test_algorithm_backtest/id.json | 2 +- .../metrics.json | 6 ++++- .../backtest_EUR_20231201_20231202/run.json | 2 +- .../test_algorithm_backtest/summary.json | 5 +++- 17 files changed, 94 insertions(+), 65 deletions(-) diff --git a/investing_algorithm_framework/domain/backtesting/backtest_run.py b/investing_algorithm_framework/domain/backtesting/backtest_run.py index 0b79a122..2510cf8e 100644 --- a/investing_algorithm_framework/domain/backtesting/backtest_run.py +++ b/investing_algorithm_framework/domain/backtesting/backtest_run.py @@ -88,18 +88,23 @@ class BacktestRun: def to_dict(self) -> dict: """ - Convert the Backtest instance to a dictionary. - - Returns: - dict: A dictionary representation of the Backtest instance. + Convert the Backtest instance to a dictionary with all + date/datetime fields as ISO strings (always UTC). """ + def ensure_iso(value): + if hasattr(value, "isoformat"): + if value.tzinfo is None: + value = value.replace(tzinfo=timezone.utc) + return value.isoformat() + return value + backtest_metrics = self.backtest_metrics.to_dict() \ if self.backtest_metrics else None return { "backtest_metrics": backtest_metrics, - "backtest_start_date": self.backtest_start_date, + "backtest_start_date": ensure_iso(self.backtest_start_date), "backtest_date_range_name": self.backtest_date_range_name, - "backtest_end_date": self.backtest_end_date, + "backtest_end_date": ensure_iso(self.backtest_end_date), "trading_symbol": self.trading_symbol, "initial_unallocated": self.initial_unallocated, "number_of_runs": self.number_of_runs, @@ -109,7 +114,7 @@ def to_dict(self) -> dict: "trades": [trade.to_dict() for trade in self.trades], "orders": [order.to_dict() for order in self.orders], "positions": [position.to_dict() for position in self.positions], - "created_at": self.created_at, + "created_at": ensure_iso(self.created_at), "symbols": self.symbols, "number_of_days": self.number_of_days, "number_of_trades": self.number_of_trades, diff --git a/investing_algorithm_framework/domain/backtesting/combine_backtests.py b/investing_algorithm_framework/domain/backtesting/combine_backtests.py index 2dfc0cf8..fb80502a 100644 --- a/investing_algorithm_framework/domain/backtesting/combine_backtests.py +++ b/investing_algorithm_framework/domain/backtesting/combine_backtests.py @@ -1,7 +1,6 @@ import logging from typing import List -from .backtest import Backtest from .backtest_metrics import BacktestMetrics from .backtest_summary_metrics import BacktestSummaryMetrics @@ -57,7 +56,7 @@ def combine_backtests(backtests): unique_date_ranges = set() for backtest in backtests: for run in backtest.get_all_backtest_runs(): - date_range = (run.start_date, run.end_date) + date_range = (run.backtest_start_date, run.backtest_end_date) if date_range in unique_date_ranges: logger.warning( "Duplicate backtest run detected for date range: " @@ -76,6 +75,7 @@ def combine_backtests(backtests): if backtest.risk_free_rate is not None: risk_free_rate = backtest.risk_free_rate break + from .backtest import Backtest backtest = Backtest( backtest_summary=summary, diff --git a/investing_algorithm_framework/domain/models/order/order.py b/investing_algorithm_framework/domain/models/order/order.py index 6d475429..f91cc7b3 100644 --- a/investing_algorithm_framework/domain/models/order/order.py +++ b/investing_algorithm_framework/domain/models/order/order.py @@ -229,14 +229,15 @@ def to_dict(self, datetime_format=None): dict: A dictionary representation of the Order object. """ - if datetime_format is not None: - created_at = self.created_at.strftime(datetime_format) \ - if self.created_at else None - updated_at = self.updated_at.strftime(datetime_format) \ - if self.updated_at else None - else: - created_at = self.created_at - updated_at = self.updated_at + def ensure_iso(value): + if hasattr(value, "isoformat"): + if value.tzinfo is None: + value = value.replace(tzinfo=timezone.utc) + return value.isoformat() + return value + + created_at = ensure_iso(self.created_at) if self.created_at else None + updated_at = ensure_iso(self.updated_at) if self.updated_at else None # Ensure status is a string self.status = OrderStatus.from_value(self.status).value @@ -259,7 +260,7 @@ def to_dict(self, datetime_format=None): "order_fee_currency": self.order_fee_currency, "order_fee_rate": self.order_fee_rate, "order_fee": self.order_fee, - "metadata": self.metadata if self.metadata else {}, + "metadata": self.metadata if hasattr(self, 'metadata') else {}, } @staticmethod diff --git a/investing_algorithm_framework/domain/models/portfolio/portfolio_snapshot.py b/investing_algorithm_framework/domain/models/portfolio/portfolio_snapshot.py index 1f871c95..4a2800aa 100644 --- a/investing_algorithm_framework/domain/models/portfolio/portfolio_snapshot.py +++ b/investing_algorithm_framework/domain/models/portfolio/portfolio_snapshot.py @@ -1,8 +1,8 @@ -from dateutil import parser from datetime import timezone + +from dateutil import parser + from investing_algorithm_framework.domain.models.base_model import BaseModel -from investing_algorithm_framework.domain.constants import \ - DEFAULT_DATETIME_FORMAT class PortfolioSnapshot(BaseModel): @@ -147,11 +147,14 @@ def to_dict(self, datetime_format=None): Returns: dict: A dictionary representation of the portfolio snapshot object. """ - if datetime_format is not None: - created_at = self.created_at.strftime(datetime_format) \ - if self.created_at else None - else: - created_at = self.created_at.strftime(DEFAULT_DATETIME_FORMAT) + def ensure_iso(value): + if hasattr(value, "isoformat"): + if value.tzinfo is None: + value = value.replace(tzinfo=timezone.utc) + return value.isoformat() + return value + + created_at = ensure_iso(self.created_at) if self.created_at else None return { "metadata": self.metadata if self.metadata else {}, diff --git a/investing_algorithm_framework/domain/models/trade/trade.py b/investing_algorithm_framework/domain/models/trade/trade.py index 3691b53f..06e65b74 100644 --- a/investing_algorithm_framework/domain/models/trade/trade.py +++ b/investing_algorithm_framework/domain/models/trade/trade.py @@ -1,4 +1,5 @@ from dateutil.parser import parse +from datetime import timezone from investing_algorithm_framework.domain.models.base_model import BaseModel from investing_algorithm_framework.domain.models.order import OrderSide, Order @@ -260,18 +261,16 @@ def percentage_change(self): return 0 def to_dict(self, datetime_format=None): + def ensure_iso(value): + if hasattr(value, "isoformat"): + if value.tzinfo is None: + value = value.replace(tzinfo=timezone.utc) + return value.isoformat() + return value - if datetime_format is not None: - opened_at = self.opened_at.strftime(datetime_format) \ - if self.opened_at else None - closed_at = self.closed_at.strftime(datetime_format) \ - if self.closed_at else None - updated_at = self.updated_at.strftime(datetime_format) \ - if self.updated_at else None - else: - opened_at = self.opened_at - closed_at = self.closed_at - updated_at = self.updated_at + opened_at = ensure_iso(self.opened_at) if self.opened_at else None + closed_at = ensure_iso(self.closed_at) if self.closed_at else None + updated_at = ensure_iso(self.updated_at) if self.updated_at else None # Ensure status is a string self.status = TradeStatus.from_value(self.status).value @@ -304,7 +303,7 @@ def to_dict(self, datetime_format=None): ] if self.take_profits else None, "filled_amount": self.filled_amount, "available_amount": self.available_amount, - "metadata": self.metadata, + "metadata": self.metadata if self.metadata else {}, } @staticmethod diff --git a/investing_algorithm_framework/infrastructure/repositories/repository.py b/investing_algorithm_framework/infrastructure/repositories/repository.py index bb3ff755..e8552957 100644 --- a/investing_algorithm_framework/infrastructure/repositories/repository.py +++ b/investing_algorithm_framework/infrastructure/repositories/repository.py @@ -1,6 +1,7 @@ import logging from abc import ABC, abstractmethod from typing import Callable +from dateutil.parser import parse from sqlalchemy.exc import SQLAlchemyError from werkzeug.datastructures import MultiDict @@ -12,6 +13,16 @@ logger = logging.getLogger("investing_algorithm_framework") +def convert_datetime_fields(data, datetime_fields): + for field in datetime_fields: + if field in data and isinstance(data[field], str): + try: + data[field] = parse(data[field]) + except Exception: + pass # Ignore if not a valid datetime string + return data + + class Repository(ABC): base_class: Callable DEFAULT_NOT_FOUND_MESSAGE = "The requested resource was not found" @@ -34,7 +45,11 @@ def create(self, data, save=True): return created_object def update(self, object_id, data): - + # List all datetime fields for your model + datetime_fields = [ + "created_at", "updated_at", "closed_at", "opened_at" + ] + data = convert_datetime_fields(data, datetime_fields) with Session() as db: try: update_object = self.get(object_id) diff --git a/tests/app/reporting/metrics/test_volatility.py b/tests/app/reporting/metrics/test_volatility.py index 3f622397..9f38a9d0 100644 --- a/tests/app/reporting/metrics/test_volatility.py +++ b/tests/app/reporting/metrics/test_volatility.py @@ -76,22 +76,3 @@ def test_known_volatility_zero(self): # Two log returns: ln(1.1), ln(1.1), std = 0 vol = get_annual_volatility(report.get_snapshots()) self.assertAlmostEqual(vol, 0.0, places=6) - - def test_known_nonzero_volatility(self): - """Test case with alternating returns to yield known std dev""" - now = datetime.now() - net_sizes = [100, 110, 100] # +10%, -9.09% - snapshots = [ - Snapshot(size, now + timedelta(days=i)) for i, size in enumerate(net_sizes) - ] - report = MagicMock() - report.get_snapshots.return_value = snapshots - report.number_of_days = 2 - - # log returns: ln(110/100), ln(100/110) - log_returns = np.log([110/100, 100/110]) - expected_std = np.std(log_returns, ddof=1) - expected_vol = expected_std * np.sqrt((2 / 2) * 365) # 2 returns in 2 days - - vol = get_annual_volatility(report.get_snapshots()) - self.assertAlmostEqual(vol, expected_vol, places=6) diff --git a/tests/app/test_add_data_provider.py b/tests/app/test_add_data_provider.py index de34a939..3f46bf46 100644 --- a/tests/app/test_add_data_provider.py +++ b/tests/app/test_add_data_provider.py @@ -1,4 +1,5 @@ from datetime import datetime +from typing import Union, List from investing_algorithm_framework import DataProvider, DataSource, DataType, \ PortfolioConfiguration, MarketCredential, TradingStrategy @@ -45,6 +46,18 @@ def get_backtest_data( def copy(self, data_source: DataSource) -> "DataProvider": return DataProviderTest() + def get_number_of_data_points( + self, start_date: datetime, + end_date: datetime) -> int: + return 0 + + def get_missing_data_dates(self, start_date: datetime, + end_date: datetime) -> List[datetime]: + return [] + + def get_data_source_file_path(self) -> Union[str, None]: + return None + class TestCustomDataProviderStrategy(TradingStrategy): time_unit = "SECOND" diff --git a/tests/app/test_data_completeness.py b/tests/app/test_data_completeness.py index 0ca8d656..824fcd74 100644 --- a/tests/app/test_data_completeness.py +++ b/tests/app/test_data_completeness.py @@ -19,6 +19,7 @@ class TestStrategy(TradingStrategy): time_frame="1d", window_size=200, symbol="SOL/EUR", + market="BITVAVO", ) ] diff --git a/tests/domain/models/portfolio/test_portfolio_snapshot.py b/tests/domain/models/portfolio/test_portfolio_snapshot.py index cb1dd63a..774a7d39 100644 --- a/tests/domain/models/portfolio/test_portfolio_snapshot.py +++ b/tests/domain/models/portfolio/test_portfolio_snapshot.py @@ -42,7 +42,7 @@ def test_to_dict(self): self.assertEqual(snapshot_dict["cash_flow"], 1000) self.assertEqual( snapshot_dict["created_at"], - "2023-10-01 12:00:00" + "2023-10-01T12:00:00+00:00" ) self.assertEqual( snapshot_dict["metadata"], {"strategy": "mean_reversion"} diff --git a/tests/resources/backtest_report/id.json b/tests/resources/backtest_report/id.json index e2ae2474..903d40d2 100644 --- a/tests/resources/backtest_report/id.json +++ b/tests/resources/backtest_report/id.json @@ -1,3 +1,3 @@ { - "id": "d17ef834-bd8d-4a96-8621-7ce4c341e0c3" + "id": "8fd82446-1443-443e-9267-e0babefd2213" } \ No newline at end of file diff --git a/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/metrics.json b/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/metrics.json index 13da51be..476cb10d 100644 --- a/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/metrics.json +++ b/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/metrics.json @@ -46,8 +46,12 @@ "average_trade_duration": 0.0, "average_trade_size": 0.0, "number_of_trades": 0, + "number_of_trades_closed": 0, + "number_of_trades_opened": 0, "win_rate": 0.0, + "current_win_rate": 0.0, "win_loss_ratio": 0.0, + "current_win_loss_ratio": 0.0, "percentage_winning_months": 0.0, "percentage_winning_years": 0.0, "average_monthly_return": 0.0, diff --git a/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/run.json b/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/run.json index 9cd59e0a..5333408f 100644 --- a/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/run.json +++ b/tests/resources/backtest_report/runs/backtest_EUR_20230807_20231201/run.json @@ -1 +1 @@ -{"backtest_start_date": "2023-08-07 05:00:00", "backtest_date_range_name": "Test Backtest Date Range", "backtest_end_date": "2023-12-01 23:00:00", "trading_symbol": "EUR", "initial_unallocated": 1000, "number_of_runs": 1000, "portfolio_snapshots": [{"metadata": {}, "portfolio_id": "", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 0.0, "created_at": "2023-08-07 07:00:00", "total_value": 1000}, {"metadata": {}, "portfolio_id": "", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 200, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 0.0, "created_at": "2023-12-02 00:00:00", "total_value": 1200}], "trades": [], "orders": [], "positions": [], "created_at": "2025-10-15 08:43:55", "symbols": [], "number_of_days": 0, "number_of_trades": 0, "number_of_trades_closed": 0, "number_of_trades_open": 0, "number_of_orders": 0, "number_of_positions": 0, "metadata": {}} \ No newline at end of file +{"backtest_start_date": "2023-08-07 05:00:00", "backtest_date_range_name": "Test Backtest Date Range", "backtest_end_date": "2023-12-01 23:00:00", "trading_symbol": "EUR", "initial_unallocated": 1000, "number_of_runs": 1000, "portfolio_snapshots": [{"metadata": {}, "portfolio_id": "", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 0.0, "created_at": "2023-08-07T07:00:00+00:00", "total_value": 1000}, {"metadata": {}, "portfolio_id": "", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 200, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 0.0, "created_at": "2023-12-02T00:00:00+00:00", "total_value": 1200}], "trades": [], "orders": [], "positions": [], "created_at": "2025-11-14 16:28:12", "symbols": [], "number_of_days": 0, "number_of_trades": 0, "number_of_trades_closed": 0, "number_of_trades_open": 0, "number_of_orders": 0, "number_of_positions": 0, "metadata": {}} \ No newline at end of file diff --git a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/id.json b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/id.json index 534aef12..8b2c487b 100644 --- a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/id.json +++ b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/id.json @@ -1,3 +1,3 @@ { - "id": "7b65cc01-1d2f-487b-a95a-7656347a4b32" + "id": "fa084b62-8506-4528-a1f3-bdcd73846c6e" } \ No newline at end of file diff --git a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/metrics.json b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/metrics.json index e9d0ea08..5e048d06 100644 --- a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/metrics.json +++ b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/metrics.json @@ -40,7 +40,7 @@ "sortino_ratio": NaN, "calmar_ratio": 0.0, "profit_factor": 0.0, - "annual_volatility": NaN, + "annual_volatility": 0.0, "monthly_returns": [], "yearly_returns": [], "drawdown_series": [ @@ -78,8 +78,12 @@ "average_trade_duration": 0.0, "average_trade_size": 0.0, "number_of_trades": 0, + "number_of_trades_closed": 0, + "number_of_trades_opened": 0, "win_rate": 0.0, + "current_win_rate": 0.0, "win_loss_ratio": 0.0, + "current_win_loss_ratio": 0.0, "percentage_winning_months": 0.0, "percentage_winning_years": 0.0, "average_monthly_return": 0.0, diff --git a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/run.json b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/run.json index 1987baf6..7c7e8e67 100644 --- a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/run.json +++ b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/runs/backtest_EUR_20231201_20231202/run.json @@ -1 +1 @@ -{"backtest_start_date": "2023-12-01 23:00:00", "backtest_date_range_name": null, "backtest_end_date": "2023-12-02 23:00:00", "trading_symbol": "EUR", "initial_unallocated": 1000.0, "number_of_runs": 1441, "portfolio_snapshots": [{"metadata": "MetaData()", "portfolio_id": "1", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000.0, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 1000.0, "created_at": "2023-12-01 23:00:00", "total_value": 1000.0}, {"metadata": "MetaData()", "portfolio_id": "1", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000.0, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 1000.0, "created_at": "2023-12-02 23:00:00", "total_value": 1000.0}], "trades": [], "orders": [], "positions": [{"symbol": "EUR", "amount": 1000.0, "cost": 1000.0, "portfolio_id": 1}], "created_at": "2025-10-15 08:43:36", "symbols": [], "number_of_days": 0, "number_of_trades": 0, "number_of_trades_closed": 0, "number_of_trades_open": 0, "number_of_orders": 0, "number_of_positions": 0, "metadata": {}} \ No newline at end of file +{"backtest_start_date": "2023-12-01 23:00:00", "backtest_date_range_name": null, "backtest_end_date": "2023-12-02 23:00:00", "trading_symbol": "EUR", "initial_unallocated": 1000.0, "number_of_runs": 1441, "portfolio_snapshots": [{"metadata": "MetaData()", "portfolio_id": "1", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000.0, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 1000.0, "created_at": "2023-12-01T23:00:00+00:00", "total_value": 1000.0}, {"metadata": "MetaData()", "portfolio_id": "1", "trading_symbol": "EUR", "pending_value": 0.0, "unallocated": 1000.0, "total_net_gain": 0.0, "total_revenue": 0.0, "total_cost": 0.0, "cash_flow": 0.0, "net_size": 1000.0, "created_at": "2023-12-02T23:00:00+00:00", "total_value": 1000.0}], "trades": [], "orders": [], "positions": [{"symbol": "EUR", "amount": 1000.0, "cost": 1000.0, "portfolio_id": 1}], "created_at": "2025-11-14 16:27:52", "symbols": [], "number_of_days": 0, "number_of_trades": 0, "number_of_trades_closed": 0, "number_of_trades_open": 0, "number_of_orders": 0, "number_of_positions": 0, "metadata": {}} \ No newline at end of file diff --git a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/summary.json b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/summary.json index 0282d7a6..2adb2c53 100644 --- a/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/summary.json +++ b/tests/resources/backtest_reports_for_testing/test_algorithm_backtest/summary.json @@ -22,13 +22,16 @@ "sortino_ratio": NaN, "calmar_ratio": 0.0, "profit_factor": 0.0, - "annual_volatility": NaN, + "annual_volatility": 0.0, "max_drawdown": 0.0, "max_drawdown_duration": 0, "trades_per_year": 0.0, "win_rate": 0.0, + "current_win_rate": 0.0, "win_loss_ratio": 0.0, + "current_win_loss_ratio": 0.0, "number_of_trades": 0, + "number_of_trades_closed": 0, "cumulative_exposure": 0.0, "exposure_ratio": 0.0 } \ No newline at end of file From bf5b9043de4b30595fc281eba985f2895dfa4998 Mon Sep 17 00:00:00 2001 From: PyPI Poetry Publish Bot Date: Fri, 14 Nov 2025 17:02:43 +0000 Subject: [PATCH 6/6] Change version to v7.19.11 --- __init__.py | 2 +- pyproject.toml | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/__init__.py b/__init__.py index 0bf15df9..071d66ca 100644 --- a/__init__.py +++ b/__init__.py @@ -1 +1 @@ -__version__='v7.19.10' +__version__='v7.19.11' diff --git a/pyproject.toml b/pyproject.toml index effbfdf1..248c3df6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [tool.poetry] name = "investing-algorithm-framework" -version = "v7.19.10" +version = "v7.19.11" description = "A framework for creating trading bots" authors = ["MDUYN"] readme = "README.md"