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Merge pull request #5219 from freqtrade/hyperopt_paramfile

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automatic Hyperopt paramfile
This commit is contained in:
Matthias
2021-07-04 13:56:52 +02:00
committed by GitHub
parent 77293b1f1e dc8abd77df
commit 898bef1837
17 changed files with 588 additions and 179 deletions
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1
tests/commands/test_commands.py
View File

@@ -1168,6 +1168,7 @@ def test_hyperopt_show(mocker, capsys, saved_hyperopt_results):
'freqtrade.optimize.hyperopt_tools.HyperoptTools.load_previous_results',
MagicMock(return_value=saved_hyperopt_results)
)
mocker.patch('freqtrade.commands.hyperopt_commands.show_backtest_result')
args = [
"hyperopt-show",

6
tests/conftest.py
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@@ -324,6 +324,7 @@ def get_default_conf(testdatadir):
"verbosity": 3,
"strategy_path": str(Path(__file__).parent / "strategy" / "strats"),
"strategy": "DefaultStrategy",
"disableparamexport": True,
"internals": {},
"export": "none",
}
@@ -1953,12 +1954,13 @@ def saved_hyperopt_results():
'params_dict': {
'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1190, 'roi_t2': 541, 'roi_t3': 408, 'roi_p1': 0.026035863879169705, 'roi_p2': 0.12508730043628782, 'roi_p3': 0.27766427921605896, 'stoploss': -0.2562930402099556}, # noqa: E501
'params_details': {'buy': {'mfi-value': 15, 'fastd-value': 20, 'adx-value': 25, 'rsi-value': 28, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 88, 'sell-fastd-value': 97, 'sell-adx-value': 51, 'sell-rsi-value': 67, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4287874435315165, 408: 0.15112316431545753, 949: 0.026035863879169705, 2139: 0}, 'stoploss': {'stoploss': -0.2562930402099556}}, # noqa: E501
'results_metrics': {'total_trades': 2, 'wins': 0, 'draws': 0, 'losses': 2, 'profit_mean': -0.01254995, 'profit_median': -0.012222, 'profit_total': -0.00125625, 'profit_total_abs': -2.50999, 'holding_avg': timedelta(minutes=3930.0)}, # noqa: E501
'results_metrics': {'total_trades': 2, 'wins': 0, 'draws': 0, 'losses': 2, 'profit_mean': -0.01254995, 'profit_median': -0.012222, 'profit_total': -0.00125625, 'profit_total_abs': -2.50999, 'holding_avg': timedelta(minutes=3930.0), 'stake_currency': 'BTC', 'strategy_name': 'SampleStrategy'}, # noqa: E501
'results_explanation': ' 2 trades. Avg profit -1.25%. Total profit -0.00125625 BTC ( -2.51Σ%). Avg duration 3930.0 min.', # noqa: E501
'total_profit': -0.00125625,
'current_epoch': 1,
'is_initial_point': True,
'is_best': True
'is_best': True,
}, {
'loss': 20.0,
'params_dict': {

153
tests/optimize/test_hyperopt.py
View File

@@ -1,9 +1,6 @@
# pragma pylint: disable=missing-docstring,W0212,C0103
import logging
import re
from datetime import datetime
from pathlib import Path
from typing import Dict, List
from unittest.mock import ANY, MagicMock
import pandas as pd
@@ -28,12 +25,6 @@ from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
from .hyperopts.default_hyperopt import DefaultHyperOpt
# Functions for recurrent object patching
def create_results() -> List[Dict]:
return [{'loss': 1, 'result': 'foo', 'params': {}, 'is_best': True}]
def test_setup_hyperopt_configuration_without_arguments(mocker, default_conf, caplog) -> None:
patched_configuration_load_config_file(mocker, default_conf)
@@ -303,52 +294,6 @@ def test_no_log_if_loss_does_not_improve(hyperopt, caplog) -> None:
assert caplog.record_tuples == []
def test_save_results_saves_epochs(mocker, hyperopt, tmpdir, caplog) -> None:
# Test writing to temp dir and reading again
epochs = create_results()
hyperopt.results_file = Path(tmpdir / 'ut_results.fthypt')
caplog.set_level(logging.DEBUG)
for epoch in epochs:
hyperopt._save_result(epoch)
assert log_has(f"1 epoch saved to '{hyperopt.results_file}'.", caplog)
hyperopt._save_result(epochs[0])
assert log_has(f"2 epochs saved to '{hyperopt.results_file}'.", caplog)
hyperopt_epochs = HyperoptTools.load_previous_results(hyperopt.results_file)
assert len(hyperopt_epochs) == 2
def test_load_previous_results(testdatadir, caplog) -> None:
results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
assert len(hyperopt_epochs) == 5
assert log_has_re(r"Reading pickled epochs from .*", caplog)
caplog.clear()
# Modern version
results_file = testdatadir / 'strategy_SampleStrategy.fthypt'
hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
assert len(hyperopt_epochs) == 5
assert log_has_re(r"Reading epochs from .*", caplog)
def test_load_previous_results2(mocker, testdatadir, caplog) -> None:
mocker.patch('freqtrade.optimize.hyperopt_tools.HyperoptTools._read_results_pickle',
return_value=[{'asdf': '222'}])
results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
with pytest.raises(OperationalException, match=r"The file .* incompatible.*"):
HyperoptTools.load_previous_results(results_file)
def test_roi_table_generation(hyperopt) -> None:
params = {
'roi_t1': 5,
@@ -362,6 +307,18 @@ def test_roi_table_generation(hyperopt) -> None:
assert hyperopt.custom_hyperopt.generate_roi_table(params) == {0: 6, 15: 3, 25: 1, 30: 0}
def test_params_no_optimize_details(hyperopt) -> None:
hyperopt.config['spaces'] = ['buy']
res = hyperopt._get_no_optimize_details()
assert isinstance(res, dict)
assert "trailing" in res
assert res["trailing"]['trailing_stop'] is False
assert "roi" in res
assert res['roi']['0'] == 0.04
assert "stoploss" in res
assert res['stoploss']['stoploss'] == -0.1
def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
@@ -467,40 +424,6 @@ def test_hyperopt_format_results(hyperopt):
assert '0:50:00 min' in result
@pytest.mark.parametrize("spaces, expected_results", [
(['buy'],
{'buy': True, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': False}),
(['sell'],
{'buy': False, 'sell': True, 'roi': False, 'stoploss': False, 'trailing': False}),
(['roi'],
{'buy': False, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False}),
(['stoploss'],
{'buy': False, 'sell': False, 'roi': False, 'stoploss': True, 'trailing': False}),
(['trailing'],
{'buy': False, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': True}),
(['buy', 'sell', 'roi', 'stoploss'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
(['buy', 'sell', 'roi', 'stoploss', 'trailing'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['buy', 'roi'],
{'buy': True, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False}),
(['all'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['default'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
(['default', 'trailing'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['all', 'buy'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['default', 'buy'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
])
def test_has_space(hyperopt_conf, spaces, expected_results):
for s in ['buy', 'sell', 'roi', 'stoploss', 'trailing']:
hyperopt_conf.update({'spaces': spaces})
assert HyperoptTools.has_space(hyperopt_conf, s) == expected_results[s]
def test_populate_indicators(hyperopt, testdatadir) -> None:
data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
dataframes = hyperopt.backtesting.strategy.ohlcvdata_to_dataframe(data)
@@ -686,6 +609,8 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
def test_clean_hyperopt(mocker, hyperopt_conf, caplog):
patch_exchange(mocker)
mocker.patch("freqtrade.strategy.hyper.HyperStrategyMixin.load_params_from_file",
MagicMock(return_value={}))
mocker.patch("freqtrade.optimize.hyperopt.Path.is_file", MagicMock(return_value=True))
unlinkmock = mocker.patch("freqtrade.optimize.hyperopt.Path.unlink", MagicMock())
h = Hyperopt(hyperopt_conf)
@@ -1068,42 +993,6 @@ def test_simplified_interface_failed(mocker, hyperopt_conf, method, space) -> No
hyperopt.start()
def test_show_epoch_details(capsys):
test_result = {
'params_details': {
'trailing': {
'trailing_stop': True,
'trailing_stop_positive': 0.02,
'trailing_stop_positive_offset': 0.04,
'trailing_only_offset_is_reached': True
},
'roi': {
0: 0.18,
90: 0.14,
225: 0.05,
430: 0},
},
'results_explanation': 'foo result',
'is_initial_point': False,
'total_profit': 0,
'current_epoch': 2, # This starts from 1 (in a human-friendly manner)
'is_best': True
}
HyperoptTools.show_epoch_details(test_result, 5, False, no_header=True)
captured = capsys.readouterr()
assert '# Trailing stop:' in captured.out
# re.match(r"Pairs for .*", captured.out)
assert re.search(r'^\s+trailing_stop = True$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_stop_positive = 0.02$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_stop_positive_offset = 0.04$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_only_offset_is_reached = True$', captured.out, re.MULTILINE)
assert '# ROI table:' in captured.out
assert re.search(r'^\s+minimal_roi = \{$', captured.out, re.MULTILINE)
assert re.search(r'^\s+\"90\"\:\s0.14,\s*$', captured.out, re.MULTILINE)
def test_in_strategy_auto_hyperopt(mocker, hyperopt_conf, tmpdir, fee) -> None:
patch_exchange(mocker)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
@@ -1143,17 +1032,3 @@ def test_SKDecimal():
assert space.transform([2.0]) == [200]
assert space.transform([1.0]) == [100]
assert space.transform([1.5, 1.6]) == [150, 160]
def test___pprint():
params = {'buy_std': 1.2, 'buy_rsi': 31, 'buy_enable': True, 'buy_what': 'asdf'}
non_params = {'buy_notoptimied': 55}
x = HyperoptTools._pprint(params, non_params)
assert x == """{
"buy_std": 1.2,
"buy_rsi": 31,
"buy_enable": True,
"buy_what": "asdf",
"buy_notoptimied": 55, # value loaded from strategy
}"""

317
tests/optimize/test_hyperopt_tools.py Normal file
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@@ -0,0 +1,317 @@
import logging
import re
from pathlib import Path
from typing import Dict, List
import numpy as np
import pytest
import rapidjson
from freqtrade.constants import FTHYPT_FILEVERSION
from freqtrade.exceptions import OperationalException
from freqtrade.optimize.hyperopt_tools import HyperoptTools, hyperopt_serializer
from tests.conftest import log_has, log_has_re
# Functions for recurrent object patching
def create_results() -> List[Dict]:
return [{'loss': 1, 'result': 'foo', 'params': {}, 'is_best': True}]
def test_save_results_saves_epochs(hyperopt, tmpdir, caplog) -> None:
# Test writing to temp dir and reading again
epochs = create_results()
hyperopt.results_file = Path(tmpdir / 'ut_results.fthypt')
caplog.set_level(logging.DEBUG)
for epoch in epochs:
hyperopt._save_result(epoch)
assert log_has(f"1 epoch saved to '{hyperopt.results_file}'.", caplog)
hyperopt._save_result(epochs[0])
assert log_has(f"2 epochs saved to '{hyperopt.results_file}'.", caplog)
hyperopt_epochs = HyperoptTools.load_previous_results(hyperopt.results_file)
assert len(hyperopt_epochs) == 2
def test_load_previous_results(testdatadir, caplog) -> None:
results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
assert len(hyperopt_epochs) == 5
assert log_has_re(r"Reading pickled epochs from .*", caplog)
caplog.clear()
# Modern version
results_file = testdatadir / 'strategy_SampleStrategy.fthypt'
hyperopt_epochs = HyperoptTools.load_previous_results(results_file)
assert len(hyperopt_epochs) == 5
assert log_has_re(r"Reading epochs from .*", caplog)
def test_load_previous_results2(mocker, testdatadir, caplog) -> None:
mocker.patch('freqtrade.optimize.hyperopt_tools.HyperoptTools._read_results_pickle',
return_value=[{'asdf': '222'}])
results_file = testdatadir / 'hyperopt_results_SampleStrategy.pickle'
with pytest.raises(OperationalException, match=r"The file .* incompatible.*"):
HyperoptTools.load_previous_results(results_file)
@pytest.mark.parametrize("spaces, expected_results", [
(['buy'],
{'buy': True, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': False}),
(['sell'],
{'buy': False, 'sell': True, 'roi': False, 'stoploss': False, 'trailing': False}),
(['roi'],
{'buy': False, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False}),
(['stoploss'],
{'buy': False, 'sell': False, 'roi': False, 'stoploss': True, 'trailing': False}),
(['trailing'],
{'buy': False, 'sell': False, 'roi': False, 'stoploss': False, 'trailing': True}),
(['buy', 'sell', 'roi', 'stoploss'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
(['buy', 'sell', 'roi', 'stoploss', 'trailing'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['buy', 'roi'],
{'buy': True, 'sell': False, 'roi': True, 'stoploss': False, 'trailing': False}),
(['all'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['default'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
(['default', 'trailing'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['all', 'buy'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': True}),
(['default', 'buy'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
])
def test_has_space(hyperopt_conf, spaces, expected_results):
for s in ['buy', 'sell', 'roi', 'stoploss', 'trailing']:
hyperopt_conf.update({'spaces': spaces})
assert HyperoptTools.has_space(hyperopt_conf, s) == expected_results[s]
def test_show_epoch_details(capsys):
test_result = {
'params_details': {
'trailing': {
'trailing_stop': True,
'trailing_stop_positive': 0.02,
'trailing_stop_positive_offset': 0.04,
'trailing_only_offset_is_reached': True
},
'roi': {
0: 0.18,
90: 0.14,
225: 0.05,
430: 0},
},
'results_explanation': 'foo result',
'is_initial_point': False,
'total_profit': 0,
'current_epoch': 2, # This starts from 1 (in a human-friendly manner)
'is_best': True
}
HyperoptTools.show_epoch_details(test_result, 5, False, no_header=True)
captured = capsys.readouterr()
assert '# Trailing stop:' in captured.out
# re.match(r"Pairs for .*", captured.out)
assert re.search(r'^\s+trailing_stop = True$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_stop_positive = 0.02$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_stop_positive_offset = 0.04$', captured.out, re.MULTILINE)
assert re.search(r'^\s+trailing_only_offset_is_reached = True$', captured.out, re.MULTILINE)
assert '# ROI table:' in captured.out
assert re.search(r'^\s+minimal_roi = \{$', captured.out, re.MULTILINE)
assert re.search(r'^\s+\"90\"\:\s0.14,\s*$', captured.out, re.MULTILINE)
def test__pprint_dict():
params = {'buy_std': 1.2, 'buy_rsi': 31, 'buy_enable': True, 'buy_what': 'asdf'}
non_params = {'buy_notoptimied': 55}
x = HyperoptTools._pprint_dict(params, non_params)
assert x == """{
"buy_std": 1.2,
"buy_rsi": 31,
"buy_enable": True,
"buy_what": "asdf",
"buy_notoptimied": 55, # value loaded from strategy
}"""
def test_get_strategy_filename(default_conf):
x = HyperoptTools.get_strategy_filename(default_conf, 'DefaultStrategy')
assert isinstance(x, Path)
assert x == Path(__file__).parents[1] / 'strategy/strats/default_strategy.py'
x = HyperoptTools.get_strategy_filename(default_conf, 'NonExistingStrategy')
assert x is None
def test_export_params(tmpdir):
filename = Path(tmpdir) / "DefaultStrategy.json"
assert not filename.is_file()
params = {
"params_details": {
"buy": {
"buy_rsi": 30
},
"sell": {
"sell_rsi": 70
},
"roi": {
"0": 0.528,
"346": 0.08499,
"507": 0.049,
"1595": 0
}
},
"params_not_optimized": {
"stoploss": -0.05,
"trailing": {
"trailing_stop": False,
"trailing_stop_positive": 0.05,
"trailing_stop_positive_offset": 0.1,
"trailing_only_offset_is_reached": True
},
}
}
HyperoptTools.export_params(params, "DefaultStrategy", filename)
assert filename.is_file()
content = rapidjson.load(filename.open('r'))
assert content['strategy_name'] == 'DefaultStrategy'
assert 'params' in content
assert "buy" in content["params"]
assert "sell" in content["params"]
assert "roi" in content["params"]
assert "stoploss" in content["params"]
assert "trailing" in content["params"]
def test_try_export_params(default_conf, tmpdir, caplog, mocker):
default_conf['disableparamexport'] = False
export_mock = mocker.patch("freqtrade.optimize.hyperopt_tools.HyperoptTools.export_params")
filename = Path(tmpdir) / "DefaultStrategy.json"
assert not filename.is_file()
params = {
"params_details": {
"buy": {
"buy_rsi": 30
},
"sell": {
"sell_rsi": 70
},
"roi": {
"0": 0.528,
"346": 0.08499,
"507": 0.049,
"1595": 0
}
},
"params_not_optimized": {
"stoploss": -0.05,
"trailing": {
"trailing_stop": False,
"trailing_stop_positive": 0.05,
"trailing_stop_positive_offset": 0.1,
"trailing_only_offset_is_reached": True
},
},
FTHYPT_FILEVERSION: 2,
}
HyperoptTools.try_export_params(default_conf, "DefaultStrategy22", params)
assert log_has("Strategy not found, not exporting parameter file.", caplog)
assert export_mock.call_count == 0
caplog.clear()
HyperoptTools.try_export_params(default_conf, "DefaultStrategy", params)
assert export_mock.call_count == 1
assert export_mock.call_args_list[0][0][1] == 'DefaultStrategy'
assert export_mock.call_args_list[0][0][2].name == 'default_strategy.json'
def test_params_print(capsys):
params = {
"buy": {
"buy_rsi": 30
},
"sell": {
"sell_rsi": 70
},
}
non_optimized = {
"buy": {
"buy_adx": 44
},
"sell": {
"sell_adx": 65
},
"stoploss": {
"stoploss": -0.05,
},
"roi": {
"0": 0.05,
"20": 0.01,
},
"trailing": {
"trailing_stop": False,
"trailing_stop_positive": 0.05,
"trailing_stop_positive_offset": 0.1,
"trailing_only_offset_is_reached": True
},
}
HyperoptTools._params_pretty_print(params, 'buy', 'No header', non_optimized)
captured = capsys.readouterr()
assert re.search("# No header", captured.out)
assert re.search('"buy_rsi": 30,\n', captured.out)
assert re.search('"buy_adx": 44, # value loaded.*\n', captured.out)
assert not re.search("sell", captured.out)
HyperoptTools._params_pretty_print(params, 'sell', 'Sell Header', non_optimized)
captured = capsys.readouterr()
assert re.search("# Sell Header", captured.out)
assert re.search('"sell_rsi": 70,\n', captured.out)
assert re.search('"sell_adx": 65, # value loaded.*\n', captured.out)
HyperoptTools._params_pretty_print(params, 'roi', 'ROI Table:', non_optimized)
captured = capsys.readouterr()
assert re.search("# ROI Table: # value loaded.*\n", captured.out)
assert re.search('minimal_roi = {\n', captured.out)
assert re.search('"20": 0.01\n', captured.out)
HyperoptTools._params_pretty_print(params, 'trailing', 'Trailing stop:', non_optimized)
captured = capsys.readouterr()
assert re.search("# Trailing stop:", captured.out)
assert re.search('trailing_stop = False # value loaded.*\n', captured.out)
assert re.search('trailing_stop_positive = 0.05 # value loaded.*\n', captured.out)
assert re.search('trailing_stop_positive_offset = 0.1 # value loaded.*\n', captured.out)
assert re.search('trailing_only_offset_is_reached = True # value loaded.*\n', captured.out)
def test_hyperopt_serializer():
assert isinstance(hyperopt_serializer(np.int_(5)), int)
assert isinstance(hyperopt_serializer(np.bool_(True)), bool)
assert isinstance(hyperopt_serializer(np.bool_(False)), bool)

48
tests/strategy/test_interface.py
View File

@@ -1,6 +1,7 @@
# pragma pylint: disable=missing-docstring, C0103
import logging
from datetime import datetime, timedelta, timezone
from pathlib import Path
from unittest.mock import MagicMock
import arrow
@@ -707,3 +708,50 @@ def test_auto_hyperopt_interface(default_conf):
with pytest.raises(OperationalException, match=r"Inconclusive parameter.*"):
[x for x in strategy.detect_parameters('sell')]
def test_auto_hyperopt_interface_loadparams(default_conf, mocker, caplog):
default_conf.update({'strategy': 'HyperoptableStrategy'})
del default_conf['stoploss']
del default_conf['minimal_roi']
mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
mocker.patch.object(Path, 'open')
expected_result = {
"strategy_name": "HyperoptableStrategy",
"params": {
"stoploss": {
"stoploss": -0.05,
},
"roi": {
"0": 0.2,
"1200": 0.01
}
}
}
mocker.patch('freqtrade.strategy.hyper.json_load', return_value=expected_result)
PairLocks.timeframe = default_conf['timeframe']
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.stoploss == -0.05
assert strategy.minimal_roi == {0: 0.2, 1200: 0.01}
expected_result = {
"strategy_name": "HyperoptableStrategy_No",
"params": {
"stoploss": {
"stoploss": -0.05,
},
"roi": {
"0": 0.2,
"1200": 0.01
}
}
}
mocker.patch('freqtrade.strategy.hyper.json_load', return_value=expected_result)
with pytest.raises(OperationalException, match="Invalid parameter file provided."):
StrategyResolver.load_strategy(default_conf)
mocker.patch('freqtrade.strategy.hyper.json_load', MagicMock(side_effect=ValueError()))
StrategyResolver.load_strategy(default_conf)
assert log_has("Invalid parameter file format.", caplog)