diff --git a/freqtrade/tests/optimize/__init__.py b/freqtrade/tests/optimize/__init__.py index 2b7222e88..58ea7c343 100644 --- a/freqtrade/tests/optimize/__init__.py +++ b/freqtrade/tests/optimize/__init__.py @@ -4,9 +4,10 @@ import arrow from pandas import DataFrame from freqtrade.strategy.interface import SellType +from freqtrade.constants import TICKER_INTERVAL_MINUTES ticker_start_time = arrow.get(2018, 10, 3) -ticker_interval_in_minute = 60 +tests_ticker_interval = "1h" class BTrade(NamedTuple): @@ -31,7 +32,7 @@ class BTContainer(NamedTuple): def _get_frame_time_from_offset(offset): return ticker_start_time.shift( - minutes=(offset * ticker_interval_in_minute)).datetime + minutes=(offset * TICKER_INTERVAL_MINUTES[tests_ticker_interval])).datetime def _build_backtest_dataframe(ticker_with_signals): diff --git a/freqtrade/tests/optimize/test_backtest_detail.py b/freqtrade/tests/optimize/test_backtest_detail.py index 806c136bc..7db6913f3 100644 --- a/freqtrade/tests/optimize/test_backtest_detail.py +++ b/freqtrade/tests/optimize/test_backtest_detail.py @@ -6,10 +6,11 @@ from pandas import DataFrame import pytest +from freqtrade.optimize import get_timeframe from freqtrade.optimize.backtesting import Backtesting from freqtrade.strategy.interface import SellType from freqtrade.tests.optimize import (BTrade, BTContainer, _build_backtest_dataframe, - _get_frame_time_from_offset) + _get_frame_time_from_offset, tests_ticker_interval) from freqtrade.tests.conftest import patch_exchange @@ -147,6 +148,7 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None: """ default_conf["stoploss"] = data.stop_loss default_conf["minimal_roi"] = {"0": data.roi} + default_conf['ticker_interval'] = tests_ticker_interval mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.0)) patch_exchange(mocker) frame = _build_backtest_dataframe(data.data) @@ -158,11 +160,14 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None: pair = 'UNITTEST/BTC' # Dummy data as we mock the analyze functions data_processed = {pair: DataFrame()} + min_date, max_date = get_timeframe({pair: frame}) results = backtesting.backtest( { 'stake_amount': default_conf['stake_amount'], 'processed': data_processed, 'max_open_trades': 10, + 'start_date': min_date, + 'end_date': max_date, } ) print(results.T)