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Merge branch 'develop' into pr/eatrisno/4308

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This commit is contained in:
Matthias
2021-06-13 20:04:24 +02:00
parent af98e025d1 7b372fbcaa
commit d32508aa75
229 changed files with 10104 additions and 5002 deletions
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4
tests/commands/test_build_config.py
View File

@@ -50,6 +50,10 @@ def test_start_new_config(mocker, caplog, exchange):
'telegram': False,
'telegram_token': 'asdf1244',
'telegram_chat_id': '1144444',
'api_server': False,
'api_server_listen_addr': '127.0.0.1',
'api_server_username': 'freqtrader',
'api_server_password': 'MoneyMachine',
}
mocker.patch('freqtrade.commands.build_config_commands.ask_user_config',
return_value=sample_selections)

505
tests/commands/test_commands.py
View File

@@ -1,3 +1,4 @@
import json
import re
from io import BytesIO
from pathlib import Path
@@ -16,8 +17,8 @@ from freqtrade.commands import (start_convert_data, start_create_userdir, start_
from freqtrade.commands.deploy_commands import (clean_ui_subdir, download_and_install_ui,
get_ui_download_url, read_ui_version)
from freqtrade.configuration import setup_utils_configuration
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.state import RunMode
from tests.conftest import (create_mock_trades, get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
from tests.conftest_trades import MOCK_TRADE_COUNT
@@ -66,8 +67,8 @@ def test_list_exchanges(capsys):
start_list_exchanges(get_args(args))
captured = capsys.readouterr()
assert re.match(r"Exchanges available for Freqtrade.*", captured.out)
assert re.match(r".*binance,.*", captured.out)
assert re.match(r".*bittrex,.*", captured.out)
assert re.search(r".*binance.*", captured.out)
assert re.search(r".*bittrex.*", captured.out)
# Test with --one-column
args = [
@@ -89,9 +90,9 @@ def test_list_exchanges(capsys):
start_list_exchanges(get_args(args))
captured = capsys.readouterr()
assert re.match(r"All exchanges supported by the ccxt library.*", captured.out)
assert re.match(r".*binance,.*", captured.out)
assert re.match(r".*bittrex,.*", captured.out)
assert re.match(r".*bitmex,.*", captured.out)
assert re.search(r".*binance.*", captured.out)
assert re.search(r".*bittrex.*", captured.out)
assert re.search(r".*bitmex.*", captured.out)
# Test with --one-column --all
args = [
@@ -116,7 +117,7 @@ def test_list_timeframes(mocker, capsys):
'1h': 'hour',
'1d': 'day',
}
patch_exchange(mocker, api_mock=api_mock)
patch_exchange(mocker, api_mock=api_mock, id='bittrex')
args = [
"list-timeframes",
]
@@ -201,7 +202,7 @@ def test_list_markets(mocker, markets, capsys):
api_mock = MagicMock()
api_mock.markets = markets
patch_exchange(mocker, api_mock=api_mock)
patch_exchange(mocker, api_mock=api_mock, id='bittrex')
# Test with no --config
args = [
@@ -706,7 +707,7 @@ def test_download_data_timerange(mocker, caplog, markets):
start_download_data(get_args(args))
assert dl_mock.call_count == 1
# 20days ago
days_ago = arrow.get(arrow.utcnow().shift(days=-20).date()).int_timestamp
days_ago = arrow.get(arrow.now().shift(days=-20).date()).int_timestamp
assert dl_mock.call_args_list[0][1]['timerange'].startts == days_ago
dl_mock.reset_mock()
@@ -914,246 +915,258 @@ def test_start_test_pairlist(mocker, caplog, tickers, default_conf, capsys):
]
start_test_pairlist(get_args(args))
captured = capsys.readouterr()
assert re.match(r'Pairs for BTC: \n\["ETH/BTC","TKN/BTC","BLK/BTC","LTC/BTC","XRP/BTC"\]\n',
captured.out)
try:
json_pairs = json.loads(captured.out)
assert 'ETH/BTC' in json_pairs
assert 'TKN/BTC' in json_pairs
assert 'BLK/BTC' in json_pairs
assert 'LTC/BTC' in json_pairs
assert 'XRP/BTC' in json_pairs
except json.decoder.JSONDecodeError:
pytest.fail(f'Expected well formed JSON, but failed to parse: {captured.out}')
def test_hyperopt_list(mocker, capsys, caplog, hyperopt_results):
def test_hyperopt_list(mocker, capsys, caplog, saved_hyperopt_results,
saved_hyperopt_results_legacy, tmpdir):
csv_file = Path(tmpdir) / "test.csv"
for res in (saved_hyperopt_results, saved_hyperopt_results_legacy):
mocker.patch(
'freqtrade.optimize.hyperopt_tools.HyperoptTools.load_previous_results',
MagicMock(return_value=res)
)
args = [
"hyperopt-list",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12",
" 6/12", " 7/12", " 8/12", " 9/12", " 10/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--best",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 5/12", " 10/12"])
assert all(x not in captured.out
for x in [" 2/12", " 3/12", " 4/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12", "Best result:", "Buy hyperspace params",
"Sell hyperspace params", "ROI table", "Stoploss"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 3/12", " 6/12", " 7/12", " 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 4/12", " 5/12", " 8/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--max-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--min-avg-profit", "0.11",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 10/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-avg-profit", "0.10",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12"])
assert all(x not in captured.out
for x in [" 2/12", " 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--max-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--min-avg-time", "2000",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12",
" 8/12", " 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-avg-time", "1500",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 6/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 7/12", " 8/12"
" 9/12", " 10/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--export-csv",
str(csv_file),
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
log_has("CSV file created: test_file.csv", caplog)
assert csv_file.is_file()
line = csv_file.read_text()
assert ('Best,1,2,-1.25%,-1.2222,-0.00125625,,-2.51,"3,930.0 m",0.43662' in line
or "Best,1,2,-1.25%,-1.2222,-0.00125625,,-2.51,2 days 17:30:00,0.43662" in line)
csv_file.unlink()
def test_hyperopt_show(mocker, capsys, saved_hyperopt_results):
mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.load_previous_results',
MagicMock(return_value=hyperopt_results)
)
args = [
"hyperopt-list",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12",
" 6/12", " 7/12", " 8/12", " 9/12", " 10/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--best",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 5/12", " 10/12"])
assert all(x not in captured.out
for x in [" 2/12", " 3/12", " 4/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-color",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12", "Best result:", "Buy hyperspace params",
"Sell hyperspace params", "ROI table", "Stoploss"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 3/12", " 6/12", " 7/12", " 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 4/12", " 5/12", " 8/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--max-trades", "20",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--min-avg-profit", "0.11",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 10/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-avg-profit", "0.10",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
" 11/12"])
assert all(x not in captured.out
for x in [" 2/12", " 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-total-profit", "0.4",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--min-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--max-objective", "0.1",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 5/12", " 6/12", " 7/12", " 8/12",
" 9/12", " 11/12"])
assert all(x not in captured.out
for x in [" 4/12", " 10/12", " 12/12"])
args = [
"hyperopt-list",
"--profitable",
"--no-details",
"--no-color",
"--min-avg-time", "2000",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 10/12"])
assert all(x not in captured.out
for x in [" 1/12", " 2/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12",
" 8/12", " 9/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--max-avg-time", "1500",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
assert all(x in captured.out
for x in [" 2/12", " 6/12"])
assert all(x not in captured.out
for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 7/12", " 8/12"
" 9/12", " 10/12", " 11/12", " 12/12"])
args = [
"hyperopt-list",
"--no-details",
"--no-color",
"--export-csv", "test_file.csv",
]
pargs = get_args(args)
pargs['config'] = None
start_hyperopt_list(pargs)
captured = capsys.readouterr()
log_has("CSV file created: test_file.csv", caplog)
f = Path("test_file.csv")
assert 'Best,1,2,-1.25%,-0.00125625,,-2.51,"3,930.0 m",0.43662' in f.read_text()
assert f.is_file()
f.unlink()
def test_hyperopt_show(mocker, capsys, hyperopt_results):
mocker.patch(
'freqtrade.optimize.hyperopt.Hyperopt.load_previous_results',
MagicMock(return_value=hyperopt_results)
'freqtrade.optimize.hyperopt_tools.HyperoptTools.load_previous_results',
MagicMock(return_value=saved_hyperopt_results)
)
args = [

2
tests/config_test_comments.json
View File

@@ -59,7 +59,7 @@
}
},
"exchange": {
"name": "bittrex",
"name": "binance",
"sandbox": false,
"key": "your_exchange_key",
"secret": "your_exchange_secret",

218
tests/conftest.py
View File

@@ -3,10 +3,10 @@ import json
import logging
import re
from copy import deepcopy
from datetime import datetime
from datetime import datetime, timedelta
from functools import reduce
from pathlib import Path
from unittest.mock import MagicMock, PropertyMock
from unittest.mock import MagicMock, Mock, PropertyMock
import arrow
import numpy as np
@@ -17,9 +17,10 @@ from freqtrade import constants
from freqtrade.commands import Arguments
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.edge import Edge, PairInfo
from freqtrade.enums import RunMode
from freqtrade.exchange import Exchange
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.persistence import Trade, init_db
from freqtrade.persistence import LocalTrade, Trade, init_db
from freqtrade.resolvers import ExchangeResolver
from freqtrade.worker import Worker
from tests.conftest_trades import (mock_trade_1, mock_trade_2, mock_trade_3, mock_trade_4,
@@ -64,6 +65,14 @@ def get_args(args):
return Arguments(args).get_parsed_arg()
# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
def get_mock_coro(return_value):
async def mock_coro(*args, **kwargs):
return return_value
return Mock(wraps=mock_coro)
def patched_configuration_load_config_file(mocker, config) -> None:
mocker.patch(
'freqtrade.configuration.configuration.load_config_file',
@@ -71,7 +80,7 @@ def patched_configuration_load_config_file(mocker, config) -> None:
)
def patch_exchange(mocker, api_mock=None, id='bittrex', mock_markets=True) -> None:
def patch_exchange(mocker, api_mock=None, id='binance', mock_markets=True) -> None:
mocker.patch('freqtrade.exchange.Exchange._load_async_markets', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes', MagicMock())
@@ -90,7 +99,7 @@ def patch_exchange(mocker, api_mock=None, id='bittrex', mock_markets=True) -> No
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock())
def get_patched_exchange(mocker, config, api_mock=None, id='bittrex',
def get_patched_exchange(mocker, config, api_mock=None, id='binance',
mock_markets=True) -> Exchange:
patch_exchange(mocker, api_mock, id, mock_markets)
config['exchange']['name'] = id
@@ -183,28 +192,37 @@ def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
freqtrade.exchange.refresh_latest_ohlcv = lambda p: None
def create_mock_trades(fee):
def create_mock_trades(fee, use_db: bool = True):
"""
Create some fake trades ...
"""
def add_trade(trade):
if use_db:
Trade.query.session.add(trade)
else:
LocalTrade.add_bt_trade(trade)
# Simulate dry_run entries
trade = mock_trade_1(fee)
Trade.session.add(trade)
add_trade(trade)
trade = mock_trade_2(fee)
Trade.session.add(trade)
add_trade(trade)
trade = mock_trade_3(fee)
Trade.session.add(trade)
add_trade(trade)
trade = mock_trade_4(fee)
Trade.session.add(trade)
add_trade(trade)
trade = mock_trade_5(fee)
Trade.session.add(trade)
add_trade(trade)
trade = mock_trade_6(fee)
Trade.session.add(trade)
add_trade(trade)
if use_db:
Trade.query.session.flush()
@pytest.fixture(autouse=True)
@@ -255,6 +273,7 @@ def get_default_conf(testdatadir):
"20": 0.02,
"0": 0.04
},
"dry_run_wallet": 1000,
"stoploss": -0.10,
"unfilledtimeout": {
"buy": 10,
@@ -275,7 +294,7 @@ def get_default_conf(testdatadir):
"order_book_max": 1
},
"exchange": {
"name": "bittrex",
"name": "binance",
"enabled": True,
"key": "key",
"secret": "secret",
@@ -296,7 +315,8 @@ def get_default_conf(testdatadir):
"telegram": {
"enabled": True,
"token": "token",
"chat_id": "0"
"chat_id": "0",
"notification_settings": {},
},
"datadir": str(testdatadir),
"initial_state": "running",
@@ -1658,6 +1678,7 @@ def buy_order_fee():
@pytest.fixture(scope="function")
def edge_conf(default_conf):
conf = deepcopy(default_conf)
conf['runmode'] = RunMode.DRY_RUN
conf['max_open_trades'] = -1
conf['tradable_balance_ratio'] = 0.5
conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
@@ -1729,7 +1750,7 @@ def import_fails() -> None:
realimport = builtins.__import__
def mockedimport(name, *args, **kwargs):
if name in ["filelock", 'systemd.journal']:
if name in ["filelock", 'systemd.journal', 'uvloop']:
raise ImportError(f"No module named '{name}'")
return realimport(name, *args, **kwargs)
@@ -1747,7 +1768,7 @@ def open_trade():
return Trade(
pair='ETH/BTC',
open_rate=0.00001099,
exchange='bittrex',
exchange='binance',
open_order_id='123456789',
amount=90.99181073,
fee_open=0.0,
@@ -1759,14 +1780,14 @@ def open_trade():
@pytest.fixture
def hyperopt_results():
def saved_hyperopt_results_legacy():
return [
{
'loss': 0.4366182531161519,
'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': {'trade_count': 2, 'avg_profit': -1.254995, 'total_profit': -0.00125625, 'profit': -2.50999, 'duration': 3930.0}, # noqa: E501
'results_metrics': {'trade_count': 2, 'avg_profit': -1.254995, 'median_profit': -1.2222, 'total_profit': -0.00125625, 'profit': -2.50999, 'duration': 3930.0}, # 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,
@@ -1781,7 +1802,7 @@ def hyperopt_results():
'sell': {'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, # noqa: E501
'roi': {0: 0.4449309386008759, 140: 0.11955965746663, 823: 0.06403981740598495, 1157: 0}, # noqa: E501
'stoploss': {'stoploss': -0.338070047333259}},
'results_metrics': {'trade_count': 1, 'avg_profit': 0.12357, 'total_profit': 6.185e-05, 'profit': 0.12357, 'duration': 1200.0}, # noqa: E501
'results_metrics': {'trade_count': 1, 'avg_profit': 0.12357, 'median_profit': -1.2222, 'total_profit': 6.185e-05, 'profit': 0.12357, 'duration': 1200.0}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.12%. Total profit 0.00006185 BTC ( 0.12Σ%). Avg duration 1200.0 min.', # noqa: E501
'total_profit': 6.185e-05,
'current_epoch': 2,
@@ -1791,7 +1812,7 @@ def hyperopt_results():
'loss': 14.241196856510731,
'params_dict': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 889, 'roi_t2': 533, 'roi_t3': 263, 'roi_p1': 0.04759065393663096, 'roi_p2': 0.1488819964638463, 'roi_p3': 0.4102801822104605, 'stoploss': -0.05394588767607611}, # noqa: E501
'params_details': {'buy': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.6067528326109377, 263: 0.19647265040047726, 796: 0.04759065393663096, 1685: 0}, 'stoploss': {'stoploss': -0.05394588767607611}}, # noqa: E501
'results_metrics': {'trade_count': 621, 'avg_profit': -0.43883302093397747, 'total_profit': -0.13639474, 'profit': -272.515306, 'duration': 1691.207729468599}, # noqa: E501
'results_metrics': {'trade_count': 621, 'avg_profit': -0.43883302093397747, 'median_profit': -1.2222, 'total_profit': -0.13639474, 'profit': -272.515306, 'duration': 1691.207729468599}, # noqa: E501
'results_explanation': ' 621 trades. Avg profit -0.44%. Total profit -0.13639474 BTC (-272.52Σ%). Avg duration 1691.2 min.', # noqa: E501
'total_profit': -0.13639474,
'current_epoch': 3,
@@ -1801,14 +1822,14 @@ def hyperopt_results():
'loss': 100000,
'params_dict': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1402, 'roi_t2': 676, 'roi_t3': 215, 'roi_p1': 0.06264755784937427, 'roi_p2': 0.14258587851894644, 'roi_p3': 0.20671291201040828, 'stoploss': -0.11818343570194478}, # noqa: E501
'params_details': {'buy': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.411946348378729, 215: 0.2052334363683207, 891: 0.06264755784937427, 2293: 0}, 'stoploss': {'stoploss': -0.11818343570194478}}, # noqa: E501
'results_metrics': {'trade_count': 0, 'avg_profit': None, 'total_profit': 0, 'profit': 0.0, 'duration': None}, # noqa: E501
'results_metrics': {'trade_count': 0, 'avg_profit': None, 'median_profit': None, 'total_profit': 0, 'profit': 0.0, 'duration': None}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0, 'current_epoch': 4, 'is_initial_point': True, 'is_best': False
}, {
'loss': 0.22195522184191518,
'params_dict': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 1269, 'roi_t2': 601, 'roi_t3': 444, 'roi_p1': 0.07280999507931168, 'roi_p2': 0.08946698095898986, 'roi_p3': 0.1454876733325284, 'stoploss': -0.18181041180901014}, # noqa: E501
'params_details': {'buy': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3077646493708299, 444: 0.16227697603830155, 1045: 0.07280999507931168, 2314: 0}, 'stoploss': {'stoploss': -0.18181041180901014}}, # noqa: E501
'results_metrics': {'trade_count': 14, 'avg_profit': -0.3539515, 'total_profit': -0.002480140000000001, 'profit': -4.955321, 'duration': 3402.8571428571427}, # noqa: E501
'results_metrics': {'trade_count': 14, 'avg_profit': -0.3539515, 'median_profit': -1.2222, 'total_profit': -0.002480140000000001, 'profit': -4.955321, 'duration': 3402.8571428571427}, # noqa: E501
'results_explanation': ' 14 trades. Avg profit -0.35%. Total profit -0.00248014 BTC ( -4.96Σ%). Avg duration 3402.9 min.', # noqa: E501
'total_profit': -0.002480140000000001,
'current_epoch': 5,
@@ -1818,7 +1839,7 @@ def hyperopt_results():
'loss': 0.545315889154162,
'params_dict': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower', 'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 319, 'roi_t2': 556, 'roi_t3': 216, 'roi_p1': 0.06251955472249589, 'roi_p2': 0.11659519602202795, 'roi_p3': 0.0953744132197762, 'stoploss': -0.024551752215582423}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.2744891639643, 216: 0.17911475074452382, 772: 0.06251955472249589, 1091: 0}, 'stoploss': {'stoploss': -0.024551752215582423}}, # noqa: E501
'results_metrics': {'trade_count': 39, 'avg_profit': -0.21400679487179478, 'total_profit': -0.0041773, 'profit': -8.346264999999997, 'duration': 636.9230769230769}, # noqa: E501
'results_metrics': {'trade_count': 39, 'avg_profit': -0.21400679487179478, 'median_profit': -1.2222, 'total_profit': -0.0041773, 'profit': -8.346264999999997, 'duration': 636.9230769230769}, # noqa: E501
'results_explanation': ' 39 trades. Avg profit -0.21%. Total profit -0.00417730 BTC ( -8.35Σ%). Avg duration 636.9 min.', # noqa: E501
'total_profit': -0.0041773,
'current_epoch': 6,
@@ -1830,7 +1851,7 @@ def hyperopt_results():
'params_details': {
'buy': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.4837436938134452, 145: 0.10853310701097472, 765: 0.0586919200378493, 1536: 0}, # noqa: E501
'stoploss': {'stoploss': -0.14613268022709905}}, # noqa: E501
'results_metrics': {'trade_count': 318, 'avg_profit': -0.39833954716981146, 'total_profit': -0.06339929, 'profit': -126.67197600000004, 'duration': 3140.377358490566}, # noqa: E501
'results_metrics': {'trade_count': 318, 'avg_profit': -0.39833954716981146, 'median_profit': -1.2222, 'total_profit': -0.06339929, 'profit': -126.67197600000004, 'duration': 3140.377358490566}, # noqa: E501
'results_explanation': ' 318 trades. Avg profit -0.40%. Total profit -0.06339929 BTC (-126.67Σ%). Avg duration 3140.4 min.', # noqa: E501
'total_profit': -0.06339929,
'current_epoch': 7,
@@ -1840,7 +1861,7 @@ def hyperopt_results():
'loss': 20.0, # noqa: E501
'params_dict': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal', 'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 1149, 'roi_t2': 375, 'roi_t3': 289, 'roi_p1': 0.05571820757172588, 'roi_p2': 0.0606240398618907, 'roi_p3': 0.1729012220156157, 'stoploss': -0.1588514289110401}, # noqa: E501
'params_details': {'buy': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.2892434694492323, 289: 0.11634224743361658, 664: 0.05571820757172588, 1813: 0}, 'stoploss': {'stoploss': -0.1588514289110401}}, # noqa: E501
'results_metrics': {'trade_count': 1, 'avg_profit': 0.0, 'total_profit': 0.0, 'profit': 0.0, 'duration': 5340.0}, # noqa: E501
'results_metrics': {'trade_count': 1, 'avg_profit': 0.0, 'median_profit': 0.0, 'total_profit': 0.0, 'profit': 0.0, 'duration': 5340.0}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.00%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration 5340.0 min.', # noqa: E501
'total_profit': 0.0,
'current_epoch': 8,
@@ -1850,7 +1871,7 @@ def hyperopt_results():
'loss': 2.4731817780991223,
'params_dict': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1012, 'roi_t2': 584, 'roi_t3': 422, 'roi_p1': 0.036764323603472565, 'roi_p2': 0.10335480573205287, 'roi_p3': 0.10322347377503042, 'stoploss': -0.2780610808108503}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.2433426031105559, 422: 0.14011912933552545, 1006: 0.036764323603472565, 2018: 0}, 'stoploss': {'stoploss': -0.2780610808108503}}, # noqa: E501
'results_metrics': {'trade_count': 229, 'avg_profit': -0.38433433624454144, 'total_profit': -0.044050070000000004, 'profit': -88.01256299999999, 'duration': 6505.676855895196}, # noqa: E501
'results_metrics': {'trade_count': 229, 'avg_profit': -0.38433433624454144, 'median_profit': -1.2222, 'total_profit': -0.044050070000000004, 'profit': -88.01256299999999, 'duration': 6505.676855895196}, # noqa: E501
'results_explanation': ' 229 trades. Avg profit -0.38%. Total profit -0.04405007 BTC ( -88.01Σ%). Avg duration 6505.7 min.', # noqa: E501
'total_profit': -0.044050070000000004, # noqa: E501
'current_epoch': 9,
@@ -1860,7 +1881,7 @@ def hyperopt_results():
'loss': -0.2604606005845212, # noqa: E501
'params_dict': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 792, 'roi_t2': 464, 'roi_t3': 215, 'roi_p1': 0.04594053535385903, 'roi_p2': 0.09623192684243963, 'roi_p3': 0.04428219070850663, 'stoploss': -0.16992287161634415}, # noqa: E501
'params_details': {'buy': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.18645465290480528, 215: 0.14217246219629864, 679: 0.04594053535385903, 1471: 0}, 'stoploss': {'stoploss': -0.16992287161634415}}, # noqa: E501
'results_metrics': {'trade_count': 4, 'avg_profit': 0.1080385, 'total_profit': 0.00021629, 'profit': 0.432154, 'duration': 2850.0}, # noqa: E501
'results_metrics': {'trade_count': 4, 'avg_profit': 0.1080385, 'median_profit': -1.2222, 'total_profit': 0.00021629, 'profit': 0.432154, 'duration': 2850.0}, # noqa: E501
'results_explanation': ' 4 trades. Avg profit 0.11%. Total profit 0.00021629 BTC ( 0.43Σ%). Avg duration 2850.0 min.', # noqa: E501
'total_profit': 0.00021629,
'current_epoch': 10,
@@ -1870,7 +1891,7 @@ def hyperopt_results():
'loss': 4.876465945994304, # noqa: E501
'params_dict': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 579, 'roi_t2': 614, 'roi_t3': 273, 'roi_p1': 0.05307643172744114, 'roi_p2': 0.1352282078262871, 'roi_p3': 0.1913307406325751, 'stoploss': -0.25728526022513887}, # noqa: E501
'params_details': {'buy': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3796353801863034, 273: 0.18830463955372825, 887: 0.05307643172744114, 1466: 0}, 'stoploss': {'stoploss': -0.25728526022513887}}, # noqa: E501
'results_metrics': {'trade_count': 117, 'avg_profit': -1.2698609145299145, 'total_profit': -0.07436117, 'profit': -148.573727, 'duration': 4282.5641025641025}, # noqa: E501
'results_metrics': {'trade_count': 117, 'avg_profit': -1.2698609145299145, 'median_profit': -1.2222, 'total_profit': -0.07436117, 'profit': -148.573727, 'duration': 4282.5641025641025}, # noqa: E501
'results_explanation': ' 117 trades. Avg profit -1.27%. Total profit -0.07436117 BTC (-148.57Σ%). Avg duration 4282.6 min.', # noqa: E501
'total_profit': -0.07436117,
'current_epoch': 11,
@@ -1880,7 +1901,7 @@ def hyperopt_results():
'loss': 100000,
'params_dict': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1156, 'roi_t2': 581, 'roi_t3': 408, 'roi_p1': 0.06860454019988212, 'roi_p2': 0.12473718444931989, 'roi_p3': 0.2896360635226823, 'stoploss': -0.30889015124682806}, # noqa: E501
'params_details': {'buy': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4829777881718843, 408: 0.19334172464920202, 989: 0.06860454019988212, 2145: 0}, 'stoploss': {'stoploss': -0.30889015124682806}}, # noqa: E501
'results_metrics': {'trade_count': 0, 'avg_profit': None, 'total_profit': 0, 'profit': 0.0, 'duration': None}, # noqa: E501
'results_metrics': {'trade_count': 0, 'avg_profit': None, 'median_profit': None, 'total_profit': 0, 'profit': 0.0, 'duration': None}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0,
'current_epoch': 12,
@@ -1888,3 +1909,142 @@ def hyperopt_results():
'is_best': False
}
]
@pytest.fixture
def saved_hyperopt_results():
hyperopt_res = [
{
'loss': 0.4366182531161519,
'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_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
}, {
'loss': 20.0,
'params_dict': {
'mfi-value': 17, 'fastd-value': 38, 'adx-value': 48, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 334, 'roi_t2': 683, 'roi_t3': 140, 'roi_p1': 0.06403981740598495, 'roi_p2': 0.055519840060645045, 'roi_p3': 0.3253712811342459, 'stoploss': -0.338070047333259}, # noqa: E501
'params_details': {
'buy': {'mfi-value': 17, 'fastd-value': 38, 'adx-value': 48, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, # noqa: E501
'sell': {'sell-mfi-value': 96, 'sell-fastd-value': 68, 'sell-adx-value': 63, 'sell-rsi-value': 81, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, # noqa: E501
'roi': {0: 0.4449309386008759, 140: 0.11955965746663, 823: 0.06403981740598495, 1157: 0}, # noqa: E501
'stoploss': {'stoploss': -0.338070047333259}},
'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 0, 'losses': 1, 'profit_mean': 0.012357, 'profit_median': -0.012222, 'profit_total': 6.185e-05, 'profit_total_abs': 0.12357, 'holding_avg': timedelta(minutes=1200.0)}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.12%. Total profit 0.00006185 BTC ( 0.12Σ%). Avg duration 1200.0 min.', # noqa: E501
'total_profit': 6.185e-05,
'current_epoch': 2,
'is_initial_point': True,
'is_best': False
}, {
'loss': 14.241196856510731,
'params_dict': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 889, 'roi_t2': 533, 'roi_t3': 263, 'roi_p1': 0.04759065393663096, 'roi_p2': 0.1488819964638463, 'roi_p3': 0.4102801822104605, 'stoploss': -0.05394588767607611}, # noqa: E501
'params_details': {'buy': {'mfi-value': 25, 'fastd-value': 16, 'adx-value': 29, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 98, 'sell-fastd-value': 72, 'sell-adx-value': 51, 'sell-rsi-value': 82, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.6067528326109377, 263: 0.19647265040047726, 796: 0.04759065393663096, 1685: 0}, 'stoploss': {'stoploss': -0.05394588767607611}}, # noqa: E501
'results_metrics': {'total_trades': 621, 'wins': 320, 'draws': 0, 'losses': 301, 'profit_mean': -0.043883302093397747, 'profit_median': -0.012222, 'profit_total': -0.13639474, 'profit_total_abs': -272.515306, 'holding_avg': timedelta(minutes=1691.207729468599)}, # noqa: E501
'results_explanation': ' 621 trades. Avg profit -0.44%. Total profit -0.13639474 BTC (-272.52Σ%). Avg duration 1691.2 min.', # noqa: E501
'total_profit': -0.13639474,
'current_epoch': 3,
'is_initial_point': True,
'is_best': False
}, {
'loss': 100000,
'params_dict': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1402, 'roi_t2': 676, 'roi_t3': 215, 'roi_p1': 0.06264755784937427, 'roi_p2': 0.14258587851894644, 'roi_p3': 0.20671291201040828, 'stoploss': -0.11818343570194478}, # noqa: E501
'params_details': {'buy': {'mfi-value': 13, 'fastd-value': 35, 'adx-value': 39, 'rsi-value': 29, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 54, 'sell-adx-value': 63, 'sell-rsi-value': 93, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.411946348378729, 215: 0.2052334363683207, 891: 0.06264755784937427, 2293: 0}, 'stoploss': {'stoploss': -0.11818343570194478}}, # noqa: E501
'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit': 0.0, 'holding_avg': timedelta()}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0, 'current_epoch': 4, 'is_initial_point': True, 'is_best': False
}, {
'loss': 0.22195522184191518,
'params_dict': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 1269, 'roi_t2': 601, 'roi_t3': 444, 'roi_p1': 0.07280999507931168, 'roi_p2': 0.08946698095898986, 'roi_p3': 0.1454876733325284, 'stoploss': -0.18181041180901014}, # noqa: E501
'params_details': {'buy': {'mfi-value': 17, 'fastd-value': 21, 'adx-value': 38, 'rsi-value': 33, 'mfi-enabled': True, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 82, 'sell-adx-value': 78, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3077646493708299, 444: 0.16227697603830155, 1045: 0.07280999507931168, 2314: 0}, 'stoploss': {'stoploss': -0.18181041180901014}}, # noqa: E501
'results_metrics': {'total_trades': 14, 'wins': 6, 'draws': 0, 'losses': 8, 'profit_mean': -0.003539515, 'profit_median': -0.012222, 'profit_total': -0.002480140000000001, 'profit_total_abs': -4.955321, 'holding_avg': timedelta(minutes=3402.8571428571427)}, # noqa: E501
'results_explanation': ' 14 trades. Avg profit -0.35%. Total profit -0.00248014 BTC ( -4.96Σ%). Avg duration 3402.9 min.', # noqa: E501
'total_profit': -0.002480140000000001,
'current_epoch': 5,
'is_initial_point': True,
'is_best': True
}, {
'loss': 0.545315889154162,
'params_dict': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower', 'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 319, 'roi_t2': 556, 'roi_t3': 216, 'roi_p1': 0.06251955472249589, 'roi_p2': 0.11659519602202795, 'roi_p3': 0.0953744132197762, 'stoploss': -0.024551752215582423}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 43, 'adx-value': 46, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 87, 'sell-fastd-value': 65, 'sell-adx-value': 94, 'sell-rsi-value': 63, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.2744891639643, 216: 0.17911475074452382, 772: 0.06251955472249589, 1091: 0}, 'stoploss': {'stoploss': -0.024551752215582423}}, # noqa: E501
'results_metrics': {'total_trades': 39, 'wins': 20, 'draws': 0, 'losses': 19, 'profit_mean': -0.0021400679487179478, 'profit_median': -0.012222, 'profit_total': -0.0041773, 'profit_total_abs': -8.346264999999997, 'holding_avg': timedelta(minutes=636.9230769230769)}, # noqa: E501
'results_explanation': ' 39 trades. Avg profit -0.21%. Total profit -0.00417730 BTC ( -8.35Σ%). Avg duration 636.9 min.', # noqa: E501
'total_profit': -0.0041773,
'current_epoch': 6,
'is_initial_point': True,
'is_best': False
}, {
'loss': 4.713497421432944,
'params_dict': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 771, 'roi_t2': 620, 'roi_t3': 145, 'roi_p1': 0.0586919200378493, 'roi_p2': 0.04984118697312542, 'roi_p3': 0.37521058680247044, 'stoploss': -0.14613268022709905}, # noqa: E501
'params_details': {
'buy': {'mfi-value': 13, 'fastd-value': 41, 'adx-value': 21, 'rsi-value': 29, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 99, 'sell-fastd-value': 60, 'sell-adx-value': 81, 'sell-rsi-value': 69, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': False, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.4837436938134452, 145: 0.10853310701097472, 765: 0.0586919200378493, 1536: 0}, # noqa: E501
'stoploss': {'stoploss': -0.14613268022709905}}, # noqa: E501
'results_metrics': {'total_trades': 318, 'wins': 100, 'draws': 0, 'losses': 218, 'profit_mean': -0.0039833954716981146, 'profit_median': -0.012222, 'profit_total': -0.06339929, 'profit_total_abs': -126.67197600000004, 'holding_avg': timedelta(minutes=3140.377358490566)}, # noqa: E501
'results_explanation': ' 318 trades. Avg profit -0.40%. Total profit -0.06339929 BTC (-126.67Σ%). Avg duration 3140.4 min.', # noqa: E501
'total_profit': -0.06339929,
'current_epoch': 7,
'is_initial_point': True,
'is_best': False
}, {
'loss': 20.0, # noqa: E501
'params_dict': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal', 'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 1149, 'roi_t2': 375, 'roi_t3': 289, 'roi_p1': 0.05571820757172588, 'roi_p2': 0.0606240398618907, 'roi_p3': 0.1729012220156157, 'stoploss': -0.1588514289110401}, # noqa: E501
'params_details': {'buy': {'mfi-value': 24, 'fastd-value': 43, 'adx-value': 33, 'rsi-value': 20, 'mfi-enabled': False, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': True, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 89, 'sell-fastd-value': 74, 'sell-adx-value': 70, 'sell-rsi-value': 70, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': False, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.2892434694492323, 289: 0.11634224743361658, 664: 0.05571820757172588, 1813: 0}, 'stoploss': {'stoploss': -0.1588514289110401}}, # noqa: E501
'results_metrics': {'total_trades': 1, 'wins': 0, 'draws': 1, 'losses': 0, 'profit_mean': 0.0, 'profit_median': 0.0, 'profit_total': 0.0, 'profit_total_abs': 0.0, 'holding_avg': timedelta(minutes=5340.0)}, # noqa: E501
'results_explanation': ' 1 trades. Avg profit 0.00%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration 5340.0 min.', # noqa: E501
'total_profit': 0.0,
'current_epoch': 8,
'is_initial_point': True,
'is_best': False
}, {
'loss': 2.4731817780991223,
'params_dict': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1012, 'roi_t2': 584, 'roi_t3': 422, 'roi_p1': 0.036764323603472565, 'roi_p2': 0.10335480573205287, 'roi_p3': 0.10322347377503042, 'stoploss': -0.2780610808108503}, # noqa: E501
'params_details': {'buy': {'mfi-value': 22, 'fastd-value': 20, 'adx-value': 29, 'rsi-value': 40, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 65, 'sell-adx-value': 81, 'sell-rsi-value': 64, 'sell-mfi-enabled': True, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.2433426031105559, 422: 0.14011912933552545, 1006: 0.036764323603472565, 2018: 0}, 'stoploss': {'stoploss': -0.2780610808108503}}, # noqa: E501
'results_metrics': {'total_trades': 229, 'wins': 150, 'draws': 0, 'losses': 79, 'profit_mean': -0.0038433433624454144, 'profit_median': -0.012222, 'profit_total': -0.044050070000000004, 'profit_total_abs': -88.01256299999999, 'holding_avg': timedelta(minutes=6505.676855895196)}, # noqa: E501
'results_explanation': ' 229 trades. Avg profit -0.38%. Total profit -0.04405007 BTC ( -88.01Σ%). Avg duration 6505.7 min.', # noqa: E501
'total_profit': -0.044050070000000004, # noqa: E501
'current_epoch': 9,
'is_initial_point': True,
'is_best': False
}, {
'loss': -0.2604606005845212, # noqa: E501
'params_dict': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal', 'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal', 'roi_t1': 792, 'roi_t2': 464, 'roi_t3': 215, 'roi_p1': 0.04594053535385903, 'roi_p2': 0.09623192684243963, 'roi_p3': 0.04428219070850663, 'stoploss': -0.16992287161634415}, # noqa: E501
'params_details': {'buy': {'mfi-value': 23, 'fastd-value': 24, 'adx-value': 22, 'rsi-value': 24, 'mfi-enabled': False, 'fastd-enabled': False, 'adx-enabled': False, 'rsi-enabled': True, 'trigger': 'macd_cross_signal'}, 'sell': {'sell-mfi-value': 97, 'sell-fastd-value': 70, 'sell-adx-value': 64, 'sell-rsi-value': 80, 'sell-mfi-enabled': False, 'sell-fastd-enabled': True, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-sar_reversal'}, 'roi': {0: 0.18645465290480528, 215: 0.14217246219629864, 679: 0.04594053535385903, 1471: 0}, 'stoploss': {'stoploss': -0.16992287161634415}}, # noqa: E501
'results_metrics': {'total_trades': 4, 'wins': 0, 'draws': 0, 'losses': 4, 'profit_mean': 0.001080385, 'profit_median': -0.012222, 'profit_total': 0.00021629, 'profit_total_abs': 0.432154, 'holding_avg': timedelta(minutes=2850.0)}, # noqa: E501
'results_explanation': ' 4 trades. Avg profit 0.11%. Total profit 0.00021629 BTC ( 0.43Σ%). Avg duration 2850.0 min.', # noqa: E501
'total_profit': 0.00021629,
'current_epoch': 10,
'is_initial_point': True,
'is_best': True
}, {
'loss': 4.876465945994304, # noqa: E501
'params_dict': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower', 'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal', 'roi_t1': 579, 'roi_t2': 614, 'roi_t3': 273, 'roi_p1': 0.05307643172744114, 'roi_p2': 0.1352282078262871, 'roi_p3': 0.1913307406325751, 'stoploss': -0.25728526022513887}, # noqa: E501
'params_details': {'buy': {'mfi-value': 20, 'fastd-value': 32, 'adx-value': 49, 'rsi-value': 23, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': False, 'rsi-enabled': False, 'trigger': 'bb_lower'}, 'sell': {'sell-mfi-value': 75, 'sell-fastd-value': 56, 'sell-adx-value': 61, 'sell-rsi-value': 62, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-macd_cross_signal'}, 'roi': {0: 0.3796353801863034, 273: 0.18830463955372825, 887: 0.05307643172744114, 1466: 0}, 'stoploss': {'stoploss': -0.25728526022513887}}, # noqa: E501
# New Hyperopt mode!
'results_metrics': {'total_trades': 117, 'wins': 67, 'draws': 0, 'losses': 50, 'profit_mean': -0.012698609145299145, 'profit_median': -0.012222, 'profit_total': -0.07436117, 'profit_total_abs': -148.573727, 'holding_avg': timedelta(minutes=4282.5641025641025)}, # noqa: E501
'results_explanation': ' 117 trades. Avg profit -1.27%. Total profit -0.07436117 BTC (-148.57Σ%). Avg duration 4282.6 min.', # noqa: E501
'total_profit': -0.07436117,
'current_epoch': 11,
'is_initial_point': True,
'is_best': False
}, {
'loss': 100000,
'params_dict': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal', 'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper', 'roi_t1': 1156, 'roi_t2': 581, 'roi_t3': 408, 'roi_p1': 0.06860454019988212, 'roi_p2': 0.12473718444931989, 'roi_p3': 0.2896360635226823, 'stoploss': -0.30889015124682806}, # noqa: E501
'params_details': {'buy': {'mfi-value': 10, 'fastd-value': 36, 'adx-value': 31, 'rsi-value': 22, 'mfi-enabled': True, 'fastd-enabled': True, 'adx-enabled': True, 'rsi-enabled': False, 'trigger': 'sar_reversal'}, 'sell': {'sell-mfi-value': 80, 'sell-fastd-value': 71, 'sell-adx-value': 60, 'sell-rsi-value': 85, 'sell-mfi-enabled': False, 'sell-fastd-enabled': False, 'sell-adx-enabled': True, 'sell-rsi-enabled': True, 'sell-trigger': 'sell-bb_upper'}, 'roi': {0: 0.4829777881718843, 408: 0.19334172464920202, 989: 0.06860454019988212, 2145: 0}, 'stoploss': {'stoploss': -0.30889015124682806}}, # noqa: E501
'results_metrics': {'total_trades': 0, 'wins': 0, 'draws': 0, 'losses': 0, 'profit_mean': None, 'profit_median': None, 'profit_total': 0, 'profit_total_abs': 0.0, 'holding_avg': timedelta()}, # noqa: E501
'results_explanation': ' 0 trades. Avg profit nan%. Total profit 0.00000000 BTC ( 0.00Σ%). Avg duration nan min.', # noqa: E501
'total_profit': 0,
'current_epoch': 12,
'is_initial_point': True,
'is_best': False
}
]
for res in hyperopt_res:
res['results_metrics']['holding_avg_s'] = res['results_metrics']['holding_avg'
].total_seconds()
return hyperopt_res

28
tests/conftest_trades.py
View File

@@ -28,8 +28,10 @@ def mock_trade_1(fee):
amount_requested=123.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=True,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=17),
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='dry_run_buy_12345',
strategy='DefaultStrategy',
timeframe=5,
@@ -81,14 +83,15 @@ def mock_trade_2(fee):
open_rate=0.123,
close_rate=0.128,
close_profit=0.005,
exchange='bittrex',
close_profit_abs=0.000584127,
exchange='binance',
is_open=False,
open_order_id='dry_run_sell_12345',
strategy='DefaultStrategy',
timeframe=5,
sell_reason='sell_signal',
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=20),
close_date=datetime.now(tz=timezone.utc),
close_date=datetime.now(tz=timezone.utc) - timedelta(minutes=2),
)
o = Order.parse_from_ccxt_object(mock_order_2(), 'ETC/BTC', 'buy')
trade.orders.append(o)
@@ -140,7 +143,8 @@ def mock_trade_3(fee):
open_rate=0.05,
close_rate=0.06,
close_profit=0.01,
exchange='bittrex',
close_profit_abs=0.000155,
exchange='binance',
is_open=False,
strategy='DefaultStrategy',
timeframe=5,
@@ -180,8 +184,10 @@ def mock_trade_4(fee):
amount_requested=124.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=14),
is_open=True,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='prod_buy_12345',
strategy='DefaultStrategy',
timeframe=5,
@@ -230,10 +236,13 @@ def mock_trade_5(fee):
amount_requested=124.0,
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=12),
is_open=True,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
strategy='SampleStrategy',
stoploss_order_id='prod_stoploss_3455'
stoploss_order_id='prod_stoploss_3455',
timeframe=5,
)
o = Order.parse_from_ccxt_object(mock_order_5(), 'XRP/BTC', 'buy')
trade.orders.append(o)
@@ -279,12 +288,15 @@ def mock_trade_6(fee):
stake_amount=0.001,
amount=2.0,
amount_requested=2.0,
open_date=datetime.now(tz=timezone.utc) - timedelta(minutes=5),
fee_open=fee.return_value,
fee_close=fee.return_value,
is_open=True,
open_rate=0.15,
exchange='bittrex',
exchange='binance',
strategy='SampleStrategy',
open_order_id="prod_sell_6",
timeframe=5,
)
o = Order.parse_from_ccxt_object(mock_order_6(), 'LTC/BTC', 'buy')
trade.orders.append(o)

55
tests/data/test_btanalysis.py
View File

@@ -1,3 +1,4 @@
from math import isclose
from pathlib import Path
from unittest.mock import MagicMock
@@ -8,11 +9,12 @@ from pandas import DataFrame, DateOffset, Timestamp, to_datetime
from freqtrade.configuration import TimeRange
from freqtrade.constants import LAST_BT_RESULT_FN
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS, BT_DATA_COLUMNS_MID, BT_DATA_COLUMNS_OLD,
analyze_trade_parallelism, calculate_market_change,
calculate_max_drawdown, combine_dataframes_with_mean,
create_cum_profit, extract_trades_of_period,
get_latest_backtest_filename, get_latest_hyperopt_file,
load_backtest_data, load_trades, load_trades_from_db)
analyze_trade_parallelism, calculate_csum,
calculate_market_change, calculate_max_drawdown,
combine_dataframes_with_mean, create_cum_profit,
extract_trades_of_period, get_latest_backtest_filename,
get_latest_hyperopt_file, load_backtest_data, load_trades,
load_trades_from_db)
from freqtrade.data.history import load_data, load_pair_history
from tests.conftest import create_mock_trades
from tests.conftest_trades import MOCK_TRADE_COUNT
@@ -245,7 +247,7 @@ def test_create_cum_profit(testdatadir):
"cum_profits", timeframe="5m")
assert "cum_profits" in cum_profits.columns
assert cum_profits.iloc[0]['cum_profits'] == 0
assert cum_profits.iloc[-1]['cum_profits'] == 0.0798005
assert isclose(cum_profits.iloc[-1]['cum_profits'], 8.723007518796964e-06)
def test_create_cum_profit1(testdatadir):
@@ -263,7 +265,7 @@ def test_create_cum_profit1(testdatadir):
"cum_profits", timeframe="5m")
assert "cum_profits" in cum_profits.columns
assert cum_profits.iloc[0]['cum_profits'] == 0
assert cum_profits.iloc[-1]['cum_profits'] == 0.0798005
assert isclose(cum_profits.iloc[-1]['cum_profits'], 8.723007518796964e-06)
with pytest.raises(ValueError, match='Trade dataframe empty.'):
create_cum_profit(df.set_index('date'), bt_data[bt_data["pair"] == 'NOTAPAIR'],
@@ -273,15 +275,35 @@ def test_create_cum_profit1(testdatadir):
def test_calculate_max_drawdown(testdatadir):
filename = testdatadir / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
drawdown, h, low = calculate_max_drawdown(bt_data)
drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(bt_data)
assert isinstance(drawdown, float)
assert pytest.approx(drawdown) == 0.21142322
assert isinstance(h, Timestamp)
assert isinstance(low, Timestamp)
assert h == Timestamp('2018-01-24 14:25:00', tz='UTC')
assert low == Timestamp('2018-01-30 04:45:00', tz='UTC')
assert isinstance(hdate, Timestamp)
assert isinstance(lowdate, Timestamp)
assert isinstance(hval, float)
assert isinstance(lval, float)
assert hdate == Timestamp('2018-01-24 14:25:00', tz='UTC')
assert lowdate == Timestamp('2018-01-30 04:45:00', tz='UTC')
with pytest.raises(ValueError, match='Trade dataframe empty.'):
drawdown, h, low = calculate_max_drawdown(DataFrame())
drawdown, hdate, lowdate, hval, lval = calculate_max_drawdown(DataFrame())
def test_calculate_csum(testdatadir):
filename = testdatadir / "backtest-result_test.json"
bt_data = load_backtest_data(filename)
csum_min, csum_max = calculate_csum(bt_data)
assert isinstance(csum_min, float)
assert isinstance(csum_max, float)
assert csum_min < 0.01
assert csum_max > 0.02
csum_min1, csum_max1 = calculate_csum(bt_data, 5)
assert csum_min1 == csum_min + 5
assert csum_max1 == csum_max + 5
with pytest.raises(ValueError, match='Trade dataframe empty.'):
csum_min, csum_max = calculate_csum(DataFrame())
def test_calculate_max_drawdown2():
@@ -295,13 +317,16 @@ def test_calculate_max_drawdown2():
# sort by profit and reset index
df = df.sort_values('profit').reset_index(drop=True)
df1 = df.copy()
drawdown, h, low = calculate_max_drawdown(df, date_col='open_date', value_col='profit')
drawdown, hdate, ldate, hval, lval = calculate_max_drawdown(
df, date_col='open_date', value_col='profit')
# Ensure df has not been altered.
assert df.equals(df1)
assert isinstance(drawdown, float)
# High must be before low
assert h < low
assert hdate < ldate
# High value must be higher than low value
assert hval > lval
assert drawdown == 0.091755
df = DataFrame(zip(values[:5], dates[:5]), columns=['profit', 'open_date'])

68
tests/data/test_converter.py
View File

@@ -1,5 +1,7 @@
# pragma pylint: disable=missing-docstring, C0103
import logging
from pathlib import Path
from shutil import copyfile
import pytest
@@ -10,8 +12,8 @@ from freqtrade.data.converter import (convert_ohlcv_format, convert_trades_forma
trades_to_ohlcv, trim_dataframe)
from freqtrade.data.history import (get_timerange, load_data, load_pair_history,
validate_backtest_data)
from tests.conftest import log_has
from tests.data.test_history import _backup_file, _clean_test_file
from tests.conftest import log_has, log_has_re
from tests.data.test_history import _clean_test_file
def test_dataframe_correct_columns(result):
@@ -62,8 +64,8 @@ def test_ohlcv_fill_up_missing_data(testdatadir, caplog):
# Column names should not change
assert (data.columns == data2.columns).all()
assert log_has(f"Missing data fillup for UNITTEST/BTC: before: "
f"{len(data)} - after: {len(data2)}", caplog)
assert log_has_re(f"Missing data fillup for UNITTEST/BTC: before: "
f"{len(data)} - after: {len(data2)}.*", caplog)
# Test fillup actually fixes invalid backtest data
min_date, max_date = get_timerange({'UNITTEST/BTC': data})
@@ -125,8 +127,8 @@ def test_ohlcv_fill_up_missing_data2(caplog):
# Column names should not change
assert (data.columns == data2.columns).all()
assert log_has(f"Missing data fillup for UNITTEST/BTC: before: "
f"{len(data)} - after: {len(data2)}", caplog)
assert log_has_re(f"Missing data fillup for UNITTEST/BTC: before: "
f"{len(data)} - after: {len(data2)}.*", caplog)
def test_ohlcv_drop_incomplete(caplog):
@@ -197,6 +199,16 @@ def test_trim_dataframe(testdatadir) -> None:
assert all(data_modify.iloc[-1] == data.iloc[-1])
assert all(data_modify.iloc[0] == data.iloc[30])
data_modify = data.copy()
tr = TimeRange('date', None, min_date + 1800, 0)
# Remove first 20 candles - ignores min date
data_modify = trim_dataframe(data_modify, tr, startup_candles=20)
assert not data_modify.equals(data)
assert len(data_modify) < len(data)
assert len(data_modify) == len(data) - 20
assert all(data_modify.iloc[-1] == data.iloc[-1])
assert all(data_modify.iloc[0] == data.iloc[20])
data_modify = data.copy()
# Remove last 30 minutes (1800 s)
tr = TimeRange(None, 'date', 0, max_date - 1800)
@@ -241,17 +253,18 @@ def test_trades_dict_to_list(fetch_trades_result):
assert t[6] == fetch_trades_result[i]['cost']
def test_convert_trades_format(mocker, default_conf, testdatadir):
files = [{'old': testdatadir / "XRP_ETH-trades.json.gz",
'new': testdatadir / "XRP_ETH-trades.json"},
{'old': testdatadir / "XRP_OLD-trades.json.gz",
'new': testdatadir / "XRP_OLD-trades.json"},
def test_convert_trades_format(default_conf, testdatadir, tmpdir):
tmpdir1 = Path(tmpdir)
files = [{'old': tmpdir1 / "XRP_ETH-trades.json.gz",
'new': tmpdir1 / "XRP_ETH-trades.json"},
{'old': tmpdir1 / "XRP_OLD-trades.json.gz",
'new': tmpdir1 / "XRP_OLD-trades.json"},
]
for file in files:
_backup_file(file['old'], copy_file=True)
copyfile(testdatadir / file['old'].name, file['old'])
assert not file['new'].exists()
default_conf['datadir'] = testdatadir
default_conf['datadir'] = tmpdir1
convert_trades_format(default_conf, convert_from='jsongz',
convert_to='json', erase=False)
@@ -274,14 +287,20 @@ def test_convert_trades_format(mocker, default_conf, testdatadir):
file['new'].unlink()
def test_convert_ohlcv_format(mocker, default_conf, testdatadir):
file1 = testdatadir / "XRP_ETH-5m.json"
file1_new = testdatadir / "XRP_ETH-5m.json.gz"
file2 = testdatadir / "XRP_ETH-1m.json"
file2_new = testdatadir / "XRP_ETH-1m.json.gz"
_backup_file(file1, copy_file=True)
_backup_file(file2, copy_file=True)
default_conf['datadir'] = testdatadir
def test_convert_ohlcv_format(default_conf, testdatadir, tmpdir):
tmpdir1 = Path(tmpdir)
file1_orig = testdatadir / "XRP_ETH-5m.json"
file1 = tmpdir1 / "XRP_ETH-5m.json"
file1_new = tmpdir1 / "XRP_ETH-5m.json.gz"
file2_orig = testdatadir / "XRP_ETH-1m.json"
file2 = tmpdir1 / "XRP_ETH-1m.json"
file2_new = tmpdir1 / "XRP_ETH-1m.json.gz"
copyfile(file1_orig, file1)
copyfile(file2_orig, file2)
default_conf['datadir'] = tmpdir1
default_conf['pairs'] = ['XRP_ETH']
default_conf['timeframes'] = ['1m', '5m']
@@ -307,10 +326,3 @@ def test_convert_ohlcv_format(mocker, default_conf, testdatadir):
assert file2.exists()
assert not file1_new.exists()
assert not file2_new.exists()
_clean_test_file(file1)
_clean_test_file(file2)
if file1_new.exists():
file1_new.unlink()
if file2_new.exists():
file2_new.unlink()

49
tests/data/test_dataprovider.py
View File

@@ -5,9 +5,9 @@ import pytest
from pandas import DataFrame
from freqtrade.data.dataprovider import DataProvider
from freqtrade.enums import RunMode
from freqtrade.exceptions import ExchangeError, OperationalException
from freqtrade.plugins.pairlistmanager import PairListManager
from freqtrade.state import RunMode
from tests.conftest import get_patched_exchange
@@ -214,8 +214,8 @@ def test_current_whitelist(mocker, default_conf, tickers):
pairlist.refresh_pairlist()
assert dp.current_whitelist() == pairlist._whitelist
# The identity of the 2 lists should be identical
assert dp.current_whitelist() is pairlist._whitelist
# The identity of the 2 lists should not be identical, but a copy
assert dp.current_whitelist() is not pairlist._whitelist
with pytest.raises(OperationalException):
dp = DataProvider(default_conf, exchange)
@@ -246,3 +246,46 @@ def test_get_analyzed_dataframe(mocker, default_conf, ohlcv_history):
assert dataframe.empty
assert isinstance(time, datetime)
assert time == datetime(1970, 1, 1, tzinfo=timezone.utc)
# Test backtest mode
default_conf["runmode"] = RunMode.BACKTEST
dp._set_dataframe_max_index(1)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 1
dp._set_dataframe_max_index(2)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 2
dp._set_dataframe_max_index(3)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == 3
dp._set_dataframe_max_index(500)
dataframe, time = dp.get_analyzed_dataframe("XRP/BTC", timeframe)
assert len(dataframe) == len(ohlcv_history)
def test_no_exchange_mode(default_conf):
dp = DataProvider(default_conf, None)
message = "Exchange is not available to DataProvider."
with pytest.raises(OperationalException, match=message):
dp.refresh([()])
with pytest.raises(OperationalException, match=message):
dp.ohlcv('XRP/USDT', '5m')
with pytest.raises(OperationalException, match=message):
dp.market('XRP/USDT')
with pytest.raises(OperationalException, match=message):
dp.ticker('XRP/USDT')
with pytest.raises(OperationalException, match=message):
dp.orderbook('XRP/USDT', 20)
with pytest.raises(OperationalException, match=message):
dp.available_pairs()

131
tests/data/test_history.py
View File

@@ -86,14 +86,12 @@ def test_load_data_7min_timeframe(mocker, caplog, default_conf, testdatadir) ->
def test_load_data_1min_timeframe(ohlcv_history, mocker, caplog, testdatadir) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ohlcv_history)
file = testdatadir / 'UNITTEST_BTC-1m.json'
_backup_file(file, copy_file=True)
load_data(datadir=testdatadir, timeframe='1m', pairs=['UNITTEST/BTC'])
assert file.is_file()
assert not log_has(
'Download history data for pair: "UNITTEST/BTC", interval: 1m '
'and store in None.', caplog
)
_clean_test_file(file)
def test_load_data_startup_candles(mocker, caplog, default_conf, testdatadir) -> None:
@@ -112,17 +110,17 @@ def test_load_data_startup_candles(mocker, caplog, default_conf, testdatadir) ->
def test_load_data_with_new_pair_1min(ohlcv_history_list, mocker, caplog,
default_conf, testdatadir) -> None:
default_conf, tmpdir) -> None:
"""
Test load_pair_history() with 1 min timeframe
"""
tmpdir1 = Path(tmpdir)
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ohlcv_history_list)
exchange = get_patched_exchange(mocker, default_conf)
file = testdatadir / 'MEME_BTC-1m.json'
file = tmpdir1 / 'MEME_BTC-1m.json'
_backup_file(file)
# do not download a new pair if refresh_pairs isn't set
load_pair_history(datadir=testdatadir, timeframe='1m', pair='MEME/BTC')
load_pair_history(datadir=tmpdir1, timeframe='1m', pair='MEME/BTC')
assert not file.is_file()
assert log_has(
'No history data for pair: "MEME/BTC", timeframe: 1m. '
@@ -130,15 +128,14 @@ def test_load_data_with_new_pair_1min(ohlcv_history_list, mocker, caplog,
)
# download a new pair if refresh_pairs is set
refresh_data(datadir=testdatadir, timeframe='1m', pairs=['MEME/BTC'],
refresh_data(datadir=tmpdir1, timeframe='1m', pairs=['MEME/BTC'],
exchange=exchange)
load_pair_history(datadir=testdatadir, timeframe='1m', pair='MEME/BTC')
load_pair_history(datadir=tmpdir1, timeframe='1m', pair='MEME/BTC')
assert file.is_file()
assert log_has_re(
'Download history data for pair: "MEME/BTC", timeframe: 1m '
'and store in .*', caplog
)
_clean_test_file(file)
def test_testdata_path(testdatadir) -> None:
@@ -231,26 +228,22 @@ def test_load_cached_data_for_updating(mocker, testdatadir) -> None:
assert start_ts is None
def test_download_pair_history(ohlcv_history_list, mocker, default_conf, testdatadir) -> None:
def test_download_pair_history(ohlcv_history_list, mocker, default_conf, tmpdir) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ohlcv_history_list)
exchange = get_patched_exchange(mocker, default_conf)
file1_1 = testdatadir / 'MEME_BTC-1m.json'
file1_5 = testdatadir / 'MEME_BTC-5m.json'
file2_1 = testdatadir / 'CFI_BTC-1m.json'
file2_5 = testdatadir / 'CFI_BTC-5m.json'
_backup_file(file1_1)
_backup_file(file1_5)
_backup_file(file2_1)
_backup_file(file2_5)
tmpdir1 = Path(tmpdir)
file1_1 = tmpdir1 / 'MEME_BTC-1m.json'
file1_5 = tmpdir1 / 'MEME_BTC-5m.json'
file2_1 = tmpdir1 / 'CFI_BTC-1m.json'
file2_5 = tmpdir1 / 'CFI_BTC-5m.json'
assert not file1_1.is_file()
assert not file2_1.is_file()
assert _download_pair_history(datadir=testdatadir, exchange=exchange,
assert _download_pair_history(datadir=tmpdir1, exchange=exchange,
pair='MEME/BTC',
timeframe='1m')
assert _download_pair_history(datadir=testdatadir, exchange=exchange,
assert _download_pair_history(datadir=tmpdir1, exchange=exchange,
pair='CFI/BTC',
timeframe='1m')
assert not exchange._pairs_last_refresh_time
@@ -264,20 +257,16 @@ def test_download_pair_history(ohlcv_history_list, mocker, default_conf, testdat
assert not file1_5.is_file()
assert not file2_5.is_file()
assert _download_pair_history(datadir=testdatadir, exchange=exchange,
assert _download_pair_history(datadir=tmpdir1, exchange=exchange,
pair='MEME/BTC',
timeframe='5m')
assert _download_pair_history(datadir=testdatadir, exchange=exchange,
assert _download_pair_history(datadir=tmpdir1, exchange=exchange,
pair='CFI/BTC',
timeframe='5m')
assert not exchange._pairs_last_refresh_time
assert file1_5.is_file()
assert file2_5.is_file()
# clean files freshly downloaded
_clean_test_file(file1_5)
_clean_test_file(file2_5)
def test_download_pair_history2(mocker, default_conf, testdatadir) -> None:
tick = [
@@ -294,24 +283,15 @@ def test_download_pair_history2(mocker, default_conf, testdatadir) -> None:
assert json_dump_mock.call_count == 2
def test_download_backtesting_data_exception(ohlcv_history, mocker, caplog,
default_conf, testdatadir) -> None:
def test_download_backtesting_data_exception(mocker, caplog, default_conf, tmpdir) -> None:
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv',
side_effect=Exception('File Error'))
tmpdir1 = Path(tmpdir)
exchange = get_patched_exchange(mocker, default_conf)
file1_1 = testdatadir / 'MEME_BTC-1m.json'
file1_5 = testdatadir / 'MEME_BTC-5m.json'
_backup_file(file1_1)
_backup_file(file1_5)
assert not _download_pair_history(datadir=testdatadir, exchange=exchange,
assert not _download_pair_history(datadir=tmpdir1, exchange=exchange,
pair='MEME/BTC',
timeframe='1m')
# clean files freshly downloaded
_clean_test_file(file1_1)
_clean_test_file(file1_5)
assert log_has('Failed to download history data for pair: "MEME/BTC", timeframe: 1m.', caplog)
@@ -528,15 +508,15 @@ def test_refresh_backtest_trades_data(mocker, default_conf, markets, caplog, tes
assert log_has("Skipping pair XRP/ETH...", caplog)
def test_download_trades_history(trades_history, mocker, default_conf, testdatadir, caplog) -> None:
def test_download_trades_history(trades_history, mocker, default_conf, testdatadir, caplog,
tmpdir) -> None:
tmpdir1 = Path(tmpdir)
ght_mock = MagicMock(side_effect=lambda pair, *args, **kwargs: (pair, trades_history))
mocker.patch('freqtrade.exchange.Exchange.get_historic_trades',
ght_mock)
exchange = get_patched_exchange(mocker, default_conf)
file1 = testdatadir / 'ETH_BTC-trades.json.gz'
data_handler = get_datahandler(testdatadir, data_format='jsongz')
_backup_file(file1)
file1 = tmpdir1 / 'ETH_BTC-trades.json.gz'
data_handler = get_datahandler(tmpdir1, data_format='jsongz')
assert not file1.is_file()
@@ -557,8 +537,7 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
assert int(ght_mock.call_args_list[0][1]['since'] // 1000) == since_time2 - 5
assert ght_mock.call_args_list[0][1]['from_id'] is not None
# clean files freshly downloaded
_clean_test_file(file1)
file1.unlink()
mocker.patch('freqtrade.exchange.Exchange.get_historic_trades',
MagicMock(side_effect=ValueError))
@@ -567,9 +546,8 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
pair='ETH/BTC')
assert log_has_re('Failed to download historic trades for pair: "ETH/BTC".*', caplog)
file2 = testdatadir / 'XRP_ETH-trades.json.gz'
_backup_file(file2, True)
file2 = tmpdir1 / 'XRP_ETH-trades.json.gz'
copyfile(testdatadir / file2.name, file2)
ght_mock.reset_mock()
mocker.patch('freqtrade.exchange.Exchange.get_historic_trades',
@@ -589,38 +567,37 @@ def test_download_trades_history(trades_history, mocker, default_conf, testdatad
_clean_test_file(file2)
def test_convert_trades_to_ohlcv(mocker, default_conf, testdatadir, caplog):
def test_convert_trades_to_ohlcv(testdatadir, tmpdir, caplog):
tmpdir1 = Path(tmpdir)
pair = 'XRP/ETH'
file1 = testdatadir / 'XRP_ETH-1m.json'
file5 = testdatadir / 'XRP_ETH-5m.json'
# Compare downloaded dataset with converted dataset
dfbak_1m = load_pair_history(datadir=testdatadir, timeframe="1m", pair=pair)
dfbak_5m = load_pair_history(datadir=testdatadir, timeframe="5m", pair=pair)
file1 = tmpdir1 / 'XRP_ETH-1m.json'
file5 = tmpdir1 / 'XRP_ETH-5m.json'
filetrades = tmpdir1 / 'XRP_ETH-trades.json.gz'
copyfile(testdatadir / file1.name, file1)
copyfile(testdatadir / file5.name, file5)
copyfile(testdatadir / filetrades.name, filetrades)
_backup_file(file1, copy_file=True)
_backup_file(file5)
# Compare downloaded dataset with converted dataset
dfbak_1m = load_pair_history(datadir=tmpdir1, timeframe="1m", pair=pair)
dfbak_5m = load_pair_history(datadir=tmpdir1, timeframe="5m", pair=pair)
tr = TimeRange.parse_timerange('20191011-20191012')
convert_trades_to_ohlcv([pair], timeframes=['1m', '5m'],
datadir=testdatadir, timerange=tr, erase=True)
datadir=tmpdir1, timerange=tr, erase=True)
assert log_has("Deleting existing data for pair XRP/ETH, interval 1m.", caplog)
# Load new data
df_1m = load_pair_history(datadir=testdatadir, timeframe="1m", pair=pair)
df_5m = load_pair_history(datadir=testdatadir, timeframe="5m", pair=pair)
df_1m = load_pair_history(datadir=tmpdir1, timeframe="1m", pair=pair)
df_5m = load_pair_history(datadir=tmpdir1, timeframe="5m", pair=pair)
assert df_1m.equals(dfbak_1m)
assert df_5m.equals(dfbak_5m)
_clean_test_file(file1)
_clean_test_file(file5)
assert not log_has('Could not convert NoDatapair to OHLCV.', caplog)
convert_trades_to_ohlcv(['NoDatapair'], timeframes=['1m', '5m'],
datadir=testdatadir, timerange=tr, erase=True)
datadir=tmpdir1, timerange=tr, erase=True)
assert log_has('Could not convert NoDatapair to OHLCV.', caplog)
@@ -752,15 +729,17 @@ def test_hdf5datahandler_trades_load(testdatadir):
assert len([t for t in trades2 if t[0] > timerange.stopts * 1000]) == 0
def test_hdf5datahandler_trades_store(testdatadir):
def test_hdf5datahandler_trades_store(testdatadir, tmpdir):
tmpdir1 = Path(tmpdir)
dh = HDF5DataHandler(testdatadir)
trades = dh.trades_load('XRP/ETH')
dh.trades_store('XRP/NEW', trades)
file = testdatadir / 'XRP_NEW-trades.h5'
dh1 = HDF5DataHandler(tmpdir1)
dh1.trades_store('XRP/NEW', trades)
file = tmpdir1 / 'XRP_NEW-trades.h5'
assert file.is_file()
# Load trades back
trades_new = dh.trades_load('XRP/NEW')
trades_new = dh1.trades_load('XRP/NEW')
assert len(trades_new) == len(trades)
assert trades[0][0] == trades_new[0][0]
@@ -778,8 +757,6 @@ def test_hdf5datahandler_trades_store(testdatadir):
assert trades[-1][5] == trades_new[-1][5]
assert trades[-1][6] == trades_new[-1][6]
_clean_test_file(file)
def test_hdf5datahandler_trades_purge(mocker, testdatadir):
mocker.patch.object(Path, "exists", MagicMock(return_value=False))
@@ -793,16 +770,18 @@ def test_hdf5datahandler_trades_purge(mocker, testdatadir):
assert unlinkmock.call_count == 1
def test_hdf5datahandler_ohlcv_load_and_resave(testdatadir):
def test_hdf5datahandler_ohlcv_load_and_resave(testdatadir, tmpdir):
tmpdir1 = Path(tmpdir)
dh = HDF5DataHandler(testdatadir)
ohlcv = dh.ohlcv_load('UNITTEST/BTC', '5m')
assert isinstance(ohlcv, DataFrame)
assert len(ohlcv) > 0
file = testdatadir / 'UNITTEST_NEW-5m.h5'
file = tmpdir1 / 'UNITTEST_NEW-5m.h5'
assert not file.is_file()
dh.ohlcv_store('UNITTEST/NEW', '5m', ohlcv)
dh1 = HDF5DataHandler(tmpdir1)
dh1.ohlcv_store('UNITTEST/NEW', '5m', ohlcv)
assert file.is_file()
assert not ohlcv[ohlcv['date'] < '2018-01-15'].empty
@@ -812,14 +791,12 @@ def test_hdf5datahandler_ohlcv_load_and_resave(testdatadir):
# Call private function to ensure timerange is filtered in hdf5
ohlcv = dh._ohlcv_load('UNITTEST/BTC', '5m', timerange)
ohlcv1 = dh._ohlcv_load('UNITTEST/NEW', '5m', timerange)
ohlcv1 = dh1._ohlcv_load('UNITTEST/NEW', '5m', timerange)
assert len(ohlcv) == len(ohlcv1)
assert ohlcv.equals(ohlcv1)
assert ohlcv[ohlcv['date'] < '2018-01-15'].empty
assert ohlcv[ohlcv['date'] > '2018-01-19'].empty
_clean_test_file(file)
# Try loading inexisting file
ohlcv = dh.ohlcv_load('UNITTEST/NONEXIST', '5m')
assert ohlcv.empty

35
tests/edge/test_edge.py
View File

@@ -12,8 +12,8 @@ from pandas import DataFrame, to_datetime
from freqtrade.data.converter import ohlcv_to_dataframe
from freqtrade.edge import Edge, PairInfo
from freqtrade.enums import SellType
from freqtrade.exceptions import OperationalException
from freqtrade.strategy.interface import SellType
from tests.conftest import get_patched_freqtradebot, log_has
from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
_get_frame_time_from_offset)
@@ -266,7 +266,7 @@ def test_edge_heartbeat_calculate(mocker, edge_conf):
# should not recalculate if heartbeat not reached
edge._last_updated = arrow.utcnow().int_timestamp - heartbeat + 1
assert edge.calculate() is False
assert edge.calculate(edge_conf['exchange']['pair_whitelist']) is False
def mocked_load_data(datadir, pairs=[], timeframe='0m',
@@ -310,7 +310,7 @@ def test_edge_process_downloaded_data(mocker, edge_conf):
mocker.patch('freqtrade.edge.edge_positioning.load_data', mocked_load_data)
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
assert edge.calculate()
assert edge.calculate(edge_conf['exchange']['pair_whitelist'])
assert len(edge._cached_pairs) == 2
assert edge._last_updated <= arrow.utcnow().int_timestamp + 2
@@ -322,7 +322,7 @@ def test_edge_process_no_data(mocker, edge_conf, caplog):
mocker.patch('freqtrade.edge.edge_positioning.load_data', MagicMock(return_value={}))
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
assert not edge.calculate()
assert not edge.calculate(edge_conf['exchange']['pair_whitelist'])
assert len(edge._cached_pairs) == 0
assert log_has("No data found. Edge is stopped ...", caplog)
assert edge._last_updated == 0
@@ -330,18 +330,37 @@ def test_edge_process_no_data(mocker, edge_conf, caplog):
def test_edge_process_no_trades(mocker, edge_conf, caplog):
freqtrade = get_patched_freqtradebot(mocker, edge_conf)
mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.001))
mocker.patch('freqtrade.edge.edge_positioning.refresh_data', MagicMock())
mocker.patch('freqtrade.exchange.Exchange.get_fee', return_value=0.001)
mocker.patch('freqtrade.edge.edge_positioning.refresh_data', )
mocker.patch('freqtrade.edge.edge_positioning.load_data', mocked_load_data)
# Return empty
mocker.patch('freqtrade.edge.Edge._find_trades_for_stoploss_range', MagicMock(return_value=[]))
mocker.patch('freqtrade.edge.Edge._find_trades_for_stoploss_range', return_value=[])
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
assert not edge.calculate()
assert not edge.calculate(edge_conf['exchange']['pair_whitelist'])
assert len(edge._cached_pairs) == 0
assert log_has("No trades found.", caplog)
def test_edge_process_no_pairs(mocker, edge_conf, caplog):
edge_conf['exchange']['pair_whitelist'] = []
mocker.patch('freqtrade.freqtradebot.validate_config_consistency')
freqtrade = get_patched_freqtradebot(mocker, edge_conf)
fee_mock = mocker.patch('freqtrade.exchange.Exchange.get_fee', return_value=0.001)
mocker.patch('freqtrade.edge.edge_positioning.refresh_data')
mocker.patch('freqtrade.edge.edge_positioning.load_data', mocked_load_data)
# Return empty
mocker.patch('freqtrade.edge.Edge._find_trades_for_stoploss_range', return_value=[])
edge = Edge(edge_conf, freqtrade.exchange, freqtrade.strategy)
assert fee_mock.call_count == 0
assert edge.fee is None
assert not edge.calculate(['XRP/USDT'])
assert fee_mock.call_count == 1
assert edge.fee == 0.001
def test_edge_init_error(mocker, edge_conf,):
edge_conf['stake_amount'] = 0.5
mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.001))

21
tests/exchange/test_ccxt_compat.py
View File

@@ -5,10 +5,12 @@ However, these tests should give a good idea to determine if a new exchange is
suitable to run with freqtrade.
"""
from datetime import datetime, timedelta, timezone
from pathlib import Path
import pytest
from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_default_conf
@@ -34,7 +36,12 @@ EXCHANGES = {
'pair': 'BTC/USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
}
},
'kucoin': {
'pair': 'BTC/USDT',
'hasQuoteVolume': True,
'timeframe': '5m',
},
}
@@ -42,6 +49,7 @@ EXCHANGES = {
def exchange_conf():
config = get_default_conf((Path(__file__).parent / "testdata").resolve())
config['exchange']['pair_whitelist'] = []
config['dry_run'] = False
return config
@@ -97,14 +105,16 @@ class TestCCXTExchange():
assert 'asks' in l2
assert 'bids' in l2
l2_limit_range = exchange._ft_has['l2_limit_range']
l2_limit_range_required = exchange._ft_has['l2_limit_range_required']
for val in [1, 2, 5, 25, 100]:
l2 = exchange.fetch_l2_order_book(pair, val)
if not l2_limit_range or val in l2_limit_range:
assert len(l2['asks']) == val
assert len(l2['bids']) == val
else:
next_limit = exchange.get_next_limit_in_list(val, l2_limit_range)
if next_limit > 200:
next_limit = exchange.get_next_limit_in_list(
val, l2_limit_range, l2_limit_range_required)
if next_limit is None or next_limit > 200:
# Large orderbook sizes can be a problem for some exchanges (bitrex ...)
assert len(l2['asks']) > 200
assert len(l2['asks']) > 200
@@ -122,7 +132,10 @@ class TestCCXTExchange():
assert len(ohlcv[pair_tf]) == len(exchange.klines(pair_tf))
# assert len(exchange.klines(pair_tf)) > 200
# Assume 90% uptime ...
assert len(exchange.klines(pair_tf)) > exchange._ohlcv_candle_limit * 0.90
assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(timeframe) * 0.90
# Check if last-timeframe is within the last 2 intervals
now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
# TODO: tests fetch_trades (?)

301
tests/exchange/test_exchange.py
View File

@@ -1,6 +1,7 @@
import copy
import logging
from datetime import datetime, timedelta, timezone
from math import isclose
from random import randint
from unittest.mock import MagicMock, Mock, PropertyMock, patch
@@ -10,7 +11,7 @@ import pytest
from pandas import DataFrame
from freqtrade.exceptions import (DDosProtection, DependencyException, InvalidOrderException,
OperationalException, TemporaryError)
OperationalException, PricingError, TemporaryError)
from freqtrade.exchange import Binance, Bittrex, Exchange, Kraken
from freqtrade.exchange.common import (API_FETCH_ORDER_RETRY_COUNT, API_RETRY_COUNT,
calculate_backoff)
@@ -18,21 +19,13 @@ from freqtrade.exchange.exchange import (market_is_active, timeframe_to_minutes,
timeframe_to_next_date, timeframe_to_prev_date,
timeframe_to_seconds)
from freqtrade.resolvers.exchange_resolver import ExchangeResolver
from tests.conftest import get_patched_exchange, log_has, log_has_re
from tests.conftest import get_mock_coro, get_patched_exchange, log_has, log_has_re
# Make sure to always keep one exchange here which is NOT subclassed!!
EXCHANGES = ['bittrex', 'binance', 'kraken', 'ftx']
# Source: https://stackoverflow.com/questions/29881236/how-to-mock-asyncio-coroutines
def get_mock_coro(return_value):
async def mock_coro(*args, **kwargs):
return return_value
return Mock(wraps=mock_coro)
def ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
fun, mock_ccxt_fun, retries=API_RETRY_COUNT + 1, **kwargs):
@@ -378,7 +371,7 @@ def test_get_min_pair_stake_amount(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 1, stoploss)
assert result == 2 / 0.9
assert isclose(result, 2 * (1+0.05) / (1-abs(stoploss)))
# min amount is set
markets["ETH/BTC"]["limits"] = {
@@ -390,7 +383,7 @@ def test_get_min_pair_stake_amount(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
assert result == 2 * 2 / 0.9
assert isclose(result, 2 * 2 * (1+0.05) / (1-abs(stoploss)))
# min amount and cost are set (cost is minimal)
markets["ETH/BTC"]["limits"] = {
@@ -402,7 +395,7 @@ def test_get_min_pair_stake_amount(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
assert result == max(2, 2 * 2) / 0.9
assert isclose(result, max(2, 2 * 2) * (1+0.05) / (1-abs(stoploss)))
# min amount and cost are set (amount is minial)
markets["ETH/BTC"]["limits"] = {
@@ -414,7 +407,14 @@ def test_get_min_pair_stake_amount(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, stoploss)
assert result == max(8, 2 * 2) / 0.9
assert isclose(result, max(8, 2 * 2) * (1+0.05) / (1-abs(stoploss)))
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -0.4)
assert isclose(result, max(8, 2 * 2) * 1.5)
# Really big stoploss
result = exchange.get_min_pair_stake_amount('ETH/BTC', 2, -1)
assert isclose(result, max(8, 2 * 2) * 1.5)
def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
@@ -432,7 +432,10 @@ def test_get_min_pair_stake_amount_real_data(mocker, default_conf) -> None:
PropertyMock(return_value=markets)
)
result = exchange.get_min_pair_stake_amount('ETH/BTC', 0.020405, stoploss)
assert round(result, 8) == round(max(0.0001, 0.001 * 0.020405) / 0.9, 8)
assert round(result, 8) == round(
max(0.0001, 0.001 * 0.020405) * (1+0.05) / (1-abs(stoploss)),
8
)
def test_set_sandbox(default_conf, mocker):
@@ -498,7 +501,7 @@ def test__load_markets(default_conf, mocker, caplog):
mocker.patch('freqtrade.exchange.Exchange._load_async_markets')
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
Exchange(default_conf)
assert log_has('Unable to initialize markets. Reason: SomeError', caplog)
assert log_has('Unable to initialize markets.', caplog)
expected_return = {'ETH/BTC': 'available'}
api_mock = MagicMock()
@@ -931,11 +934,11 @@ def test_exchange_has(default_conf, mocker):
("sell")
])
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_dry_run_order(default_conf, mocker, side, exchange_name):
def test_create_dry_run_order(default_conf, mocker, side, exchange_name):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
order = exchange.dry_run_order(
order = exchange.create_dry_run_order(
pair='ETH/BTC', ordertype='limit', side=side, amount=1, rate=200)
assert 'id' in order
assert f'dry_run_{side}_' in order["id"]
@@ -1245,44 +1248,6 @@ def test_sell_considers_time_in_force(default_conf, mocker, exchange_name):
assert "timeInForce" not in api_mock.create_order.call_args[0][5]
def test_get_balance_dry_run(default_conf, mocker):
default_conf['dry_run'] = True
default_conf['dry_run_wallet'] = 999.9
exchange = get_patched_exchange(mocker, default_conf)
assert exchange.get_balance(currency='BTC') == 999.9
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_balance_prod(default_conf, mocker, exchange_name):
api_mock = MagicMock()
api_mock.fetch_balance = MagicMock(return_value={'BTC': {'free': 123.4, 'total': 123.4}})
default_conf['dry_run'] = False
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
assert exchange.get_balance(currency='BTC') == 123.4
with pytest.raises(OperationalException):
api_mock.fetch_balance = MagicMock(side_effect=ccxt.BaseError("Unknown error"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange.get_balance(currency='BTC')
with pytest.raises(TemporaryError, match=r'.*balance due to malformed exchange response:.*'):
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
mocker.patch('freqtrade.exchange.Exchange.get_balances', MagicMock(return_value={}))
mocker.patch('freqtrade.exchange.Kraken.get_balances', MagicMock(return_value={}))
exchange.get_balance(currency='BTC')
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_balances_dry_run(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
assert exchange.get_balances() == {}
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_get_balances_prod(default_conf, mocker, exchange_name):
balance_item = {
@@ -1334,6 +1299,16 @@ def test_get_tickers(default_conf, mocker, exchange_name):
assert tickers['ETH/BTC']['ask'] == 1
assert tickers['BCH/BTC']['bid'] == 0.6
assert tickers['BCH/BTC']['ask'] == 0.5
assert api_mock.fetch_tickers.call_count == 1
api_mock.fetch_tickers.reset_mock()
# Cached ticker should not call api again
tickers2 = exchange.get_tickers(cached=True)
assert tickers2 == tickers
assert api_mock.fetch_tickers.call_count == 0
tickers2 = exchange.get_tickers(cached=False)
assert api_mock.fetch_tickers.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
"get_tickers", "fetch_tickers")
@@ -1417,7 +1392,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
ret = exchange.get_historic_ohlcv(pair, "5m", int((
arrow.utcnow().int_timestamp - since) * 1000))
@@ -1473,7 +1448,7 @@ def test_get_historic_ohlcv_as_df(default_conf, mocker, exchange_name):
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
# one_call calculation * 1.8 should do 2 calls
since = 5 * 60 * exchange._ft_has['ohlcv_candle_limit'] * 1.8
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
ret = exchange.get_historic_ohlcv_as_df(pair, "5m", int((
arrow.utcnow().int_timestamp - since) * 1000))
@@ -1656,6 +1631,9 @@ def test_get_next_limit_in_list():
# Going over the limit ...
assert Exchange.get_next_limit_in_list(1001, limit_range) == 1000
assert Exchange.get_next_limit_in_list(2000, limit_range) == 1000
# Without required range
assert Exchange.get_next_limit_in_list(2000, limit_range, False) is None
assert Exchange.get_next_limit_in_list(15, limit_range, False) == 20
assert Exchange.get_next_limit_in_list(21, None) == 21
assert Exchange.get_next_limit_in_list(100, None) == 100
@@ -1706,6 +1684,152 @@ def test_fetch_l2_order_book_exception(default_conf, mocker, exchange_name):
exchange.fetch_l2_order_book(pair='ETH/BTC', limit=50)
@pytest.mark.parametrize("side,ask,bid,last,last_ab,expected", [
('ask', 20, 19, 10, 0.0, 20), # Full ask side
('ask', 20, 19, 10, 1.0, 10), # Full last side
('ask', 20, 19, 10, 0.5, 15), # Between ask and last
('ask', 20, 19, 10, 0.7, 13), # Between ask and last
('ask', 20, 19, 10, 0.3, 17), # Between ask and last
('ask', 5, 6, 10, 1.0, 5), # last bigger than ask
('ask', 5, 6, 10, 0.5, 5), # last bigger than ask
('ask', 10, 20, None, 0.5, 10), # last not available - uses ask
('ask', 4, 5, None, 0.5, 4), # last not available - uses ask
('ask', 4, 5, None, 1, 4), # last not available - uses ask
('ask', 4, 5, None, 0, 4), # last not available - uses ask
('bid', 21, 20, 10, 0.0, 20), # Full bid side
('bid', 21, 20, 10, 1.0, 10), # Full last side
('bid', 21, 20, 10, 0.5, 15), # Between bid and last
('bid', 21, 20, 10, 0.7, 13), # Between bid and last
('bid', 21, 20, 10, 0.3, 17), # Between bid and last
('bid', 6, 5, 10, 1.0, 5), # last bigger than bid
('bid', 6, 5, 10, 0.5, 5), # last bigger than bid
('bid', 21, 20, None, 0.5, 20), # last not available - uses bid
('bid', 6, 5, None, 0.5, 5), # last not available - uses bid
('bid', 6, 5, None, 1, 5), # last not available - uses bid
('bid', 6, 5, None, 0, 5), # last not available - uses bid
])
def test_get_buy_rate(mocker, default_conf, caplog, side, ask, bid,
last, last_ab, expected) -> None:
caplog.set_level(logging.DEBUG)
default_conf['bid_strategy']['ask_last_balance'] = last_ab
default_conf['bid_strategy']['price_side'] = side
exchange = get_patched_exchange(mocker, default_conf)
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': ask, 'last': last, 'bid': bid})
assert exchange.get_buy_rate('ETH/BTC', True) == expected
assert not log_has("Using cached buy rate for ETH/BTC.", caplog)
assert exchange.get_buy_rate('ETH/BTC', False) == expected
assert log_has("Using cached buy rate for ETH/BTC.", caplog)
# Running a 2nd time with Refresh on!
caplog.clear()
assert exchange.get_buy_rate('ETH/BTC', True) == expected
assert not log_has("Using cached buy rate for ETH/BTC.", caplog)
@pytest.mark.parametrize('side,ask,bid,last,last_ab,expected', [
('bid', 12.0, 11.0, 11.5, 0.0, 11.0), # full bid side
('bid', 12.0, 11.0, 11.5, 1.0, 11.5), # full last side
('bid', 12.0, 11.0, 11.5, 0.5, 11.25), # between bid and lat
('bid', 12.0, 11.2, 10.5, 0.0, 11.2), # Last smaller than bid
('bid', 12.0, 11.2, 10.5, 1.0, 11.2), # Last smaller than bid - uses bid
('bid', 12.0, 11.2, 10.5, 0.5, 11.2), # Last smaller than bid - uses bid
('bid', 0.003, 0.002, 0.005, 0.0, 0.002),
('ask', 12.0, 11.0, 12.5, 0.0, 12.0), # full ask side
('ask', 12.0, 11.0, 12.5, 1.0, 12.5), # full last side
('ask', 12.0, 11.0, 12.5, 0.5, 12.25), # between bid and lat
('ask', 12.2, 11.2, 10.5, 0.0, 12.2), # Last smaller than ask
('ask', 12.0, 11.0, 10.5, 1.0, 12.0), # Last smaller than ask - uses ask
('ask', 12.0, 11.2, 10.5, 0.5, 12.0), # Last smaller than ask - uses ask
('ask', 10.0, 11.0, 11.0, 0.0, 10.0),
('ask', 10.11, 11.2, 11.0, 0.0, 10.11),
('ask', 0.001, 0.002, 11.0, 0.0, 0.001),
('ask', 0.006, 1.0, 11.0, 0.0, 0.006),
])
def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask,
last, last_ab, expected) -> None:
caplog.set_level(logging.DEBUG)
default_conf['ask_strategy']['price_side'] = side
default_conf['ask_strategy']['bid_last_balance'] = last_ab
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': ask, 'bid': bid, 'last': last})
pair = "ETH/BTC"
# Test regular mode
exchange = get_patched_exchange(mocker, default_conf)
rate = exchange.get_sell_rate(pair, True)
assert not log_has("Using cached sell rate for ETH/BTC.", caplog)
assert isinstance(rate, float)
assert rate == expected
# Use caching
rate = exchange.get_sell_rate(pair, False)
assert rate == expected
assert log_has("Using cached sell rate for ETH/BTC.", caplog)
@pytest.mark.parametrize('side,expected', [
('bid', 0.043936), # Value from order_book_l2 fiture - bids side
('ask', 0.043949), # Value from order_book_l2 fiture - asks side
])
def test_get_sell_rate_orderbook(default_conf, mocker, caplog, side, expected, order_book_l2):
caplog.set_level(logging.DEBUG)
# Test orderbook mode
default_conf['ask_strategy']['price_side'] = side
default_conf['ask_strategy']['use_order_book'] = True
default_conf['ask_strategy']['order_book_min'] = 1
default_conf['ask_strategy']['order_book_max'] = 2
pair = "ETH/BTC"
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book', order_book_l2)
exchange = get_patched_exchange(mocker, default_conf)
rate = exchange.get_sell_rate(pair, True)
assert not log_has("Using cached sell rate for ETH/BTC.", caplog)
assert isinstance(rate, float)
assert rate == expected
rate = exchange.get_sell_rate(pair, False)
assert rate == expected
assert log_has("Using cached sell rate for ETH/BTC.", caplog)
def test_get_sell_rate_orderbook_exception(default_conf, mocker, caplog):
# Test orderbook mode
default_conf['ask_strategy']['price_side'] = 'ask'
default_conf['ask_strategy']['use_order_book'] = True
default_conf['ask_strategy']['order_book_min'] = 1
default_conf['ask_strategy']['order_book_max'] = 2
pair = "ETH/BTC"
# Test What happens if the exchange returns an empty orderbook.
mocker.patch('freqtrade.exchange.Exchange.fetch_l2_order_book',
return_value={'bids': [[]], 'asks': [[]]})
exchange = get_patched_exchange(mocker, default_conf)
with pytest.raises(PricingError):
exchange.get_sell_rate(pair, True)
assert log_has("Sell Price at location from orderbook could not be determined.", caplog)
def test_get_sell_rate_exception(default_conf, mocker, caplog):
# Ticker on one side can be empty in certain circumstances.
default_conf['ask_strategy']['price_side'] = 'ask'
pair = "ETH/BTC"
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': None, 'bid': 0.12, 'last': None})
exchange = get_patched_exchange(mocker, default_conf)
with pytest.raises(PricingError, match=r"Sell-Rate for ETH/BTC was empty."):
exchange.get_sell_rate(pair, True)
exchange._config['ask_strategy']['price_side'] = 'bid'
assert exchange.get_sell_rate(pair, True) == 0.12
# Reverse sides
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
return_value={'ask': 0.13, 'bid': None, 'last': None})
with pytest.raises(PricingError, match=r"Sell-Rate for ETH/BTC was empty."):
exchange.get_sell_rate(pair, True)
exchange._config['ask_strategy']['price_side'] = 'ask'
assert exchange.get_sell_rate(pair, True) == 0.13
def make_fetch_ohlcv_mock(data):
def fetch_ohlcv_mock(pair, timeframe, since):
if since:
@@ -2106,6 +2230,46 @@ def test_cancel_stoploss_order(default_conf, mocker, exchange_name):
order_id='_', pair='TKN/BTC')
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_cancel_stoploss_order_with_result(default_conf, mocker, exchange_name):
default_conf['dry_run'] = False
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order', return_value={'for': 123})
mocker.patch('freqtrade.exchange.Ftx.fetch_stoploss_order', return_value={'for': 123})
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
return_value={'fee': {}, 'status': 'canceled', 'amount': 1234})
mocker.patch('freqtrade.exchange.Ftx.cancel_stoploss_order',
return_value={'fee': {}, 'status': 'canceled', 'amount': 1234})
co = exchange.cancel_stoploss_order_with_result(order_id='_', pair='TKN/BTC', amount=555)
assert co == {'fee': {}, 'status': 'canceled', 'amount': 1234}
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
return_value='canceled')
mocker.patch('freqtrade.exchange.Ftx.cancel_stoploss_order',
return_value='canceled')
# Fall back to fetch_stoploss_order
co = exchange.cancel_stoploss_order_with_result(order_id='_', pair='TKN/BTC', amount=555)
assert co == {'for': 123}
mocker.patch('freqtrade.exchange.Exchange.fetch_stoploss_order',
side_effect=InvalidOrderException(""))
mocker.patch('freqtrade.exchange.Ftx.fetch_stoploss_order',
side_effect=InvalidOrderException(""))
co = exchange.cancel_stoploss_order_with_result(order_id='_', pair='TKN/BTC', amount=555)
assert co['amount'] == 555
assert co == {'fee': {}, 'status': 'canceled', 'amount': 555, 'info': {}}
with pytest.raises(InvalidOrderException):
mocker.patch('freqtrade.exchange.Exchange.cancel_stoploss_order',
side_effect=InvalidOrderException("Did not find order"))
mocker.patch('freqtrade.exchange.Ftx.cancel_stoploss_order',
side_effect=InvalidOrderException("Did not find order"))
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
exchange.cancel_stoploss_order_with_result(order_id='_', pair='TKN/BTC', amount=123)
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_fetch_order(default_conf, mocker, exchange_name):
default_conf['dry_run'] = True
@@ -2276,12 +2440,20 @@ def test_get_fee(default_conf, mocker, exchange_name):
'cost': 0.05
})
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
exchange._config.pop('fee', None)
assert exchange.get_fee('ETH/BTC') == 0.025
assert api_mock.calculate_fee.call_count == 1
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
'get_fee', 'calculate_fee', symbol="ETH/BTC")
api_mock.calculate_fee.reset_mock()
exchange._config['fee'] = 0.001
assert exchange.get_fee('ETH/BTC') == 0.001
assert api_mock.calculate_fee.call_count == 0
def test_stoploss_order_unsupported_exchange(default_conf, mocker):
exchange = get_patched_exchange(mocker, default_conf, id='bittrex')
@@ -2418,6 +2590,19 @@ def test_get_markets_error(default_conf, mocker):
ex.get_markets('LTC', 'USDT', True, False)
@pytest.mark.parametrize("exchange_name", EXCHANGES)
def test_ohlcv_candle_limit(default_conf, mocker, exchange_name):
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
timeframes = ('1m', '5m', '1h')
expected = exchange._ft_has['ohlcv_candle_limit']
for timeframe in timeframes:
if 'ohlcv_candle_limit_per_timeframe' in exchange._ft_has:
expected = exchange._ft_has['ohlcv_candle_limit_per_timeframe'][timeframe]
# This should only run for bittrex
assert exchange_name == 'bittrex'
assert exchange.ohlcv_candle_limit(timeframe) == expected
def test_timeframe_to_minutes():
assert timeframe_to_minutes("5m") == 5
assert timeframe_to_minutes("10m") == 10

43
tests/exchange/test_ftx.py
View File

@@ -39,8 +39,9 @@ def test_stoploss_order_ftx(default_conf, mocker):
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 190
assert 'orderPrice' not in api_mock.create_order.call_args_list[0][1]['params']
assert 'stopPrice' in api_mock.create_order.call_args_list[0][1]['params']
assert api_mock.create_order.call_args_list[0][1]['params']['stopPrice'] == 190
assert api_mock.create_order.call_count == 1
@@ -55,8 +56,8 @@ def test_stoploss_order_ftx(default_conf, mocker):
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
assert 'orderPrice' not in api_mock.create_order.call_args_list[0][1]['params']
assert api_mock.create_order.call_args_list[0][1]['params']['stopPrice'] == 220
api_mock.create_order.reset_mock()
order = exchange.stoploss(pair='ETH/BTC', amount=1, stop_price=220,
@@ -69,9 +70,9 @@ def test_stoploss_order_ftx(default_conf, mocker):
assert api_mock.create_order.call_args_list[0][1]['type'] == STOPLOSS_ORDERTYPE
assert api_mock.create_order.call_args_list[0][1]['side'] == 'sell'
assert api_mock.create_order.call_args_list[0][1]['amount'] == 1
assert api_mock.create_order.call_args_list[0][1]['price'] == 220
assert 'orderPrice' in api_mock.create_order.call_args_list[0][1]['params']
assert api_mock.create_order.call_args_list[0][1]['params']['orderPrice'] == 217.8
assert api_mock.create_order.call_args_list[0][1]['params']['stopPrice'] == 220
# test exception handling
with pytest.raises(DependencyException):
@@ -124,7 +125,7 @@ def test_stoploss_adjust_ftx(mocker, default_conf):
assert not exchange.stoploss_adjust(1501, order)
def test_fetch_stoploss_order(default_conf, mocker):
def test_fetch_stoploss_order(default_conf, mocker, limit_sell_order):
default_conf['dry_run'] = True
order = MagicMock()
order.myid = 123
@@ -146,6 +147,17 @@ def test_fetch_stoploss_order(default_conf, mocker):
with pytest.raises(InvalidOrderException, match=r"Could not get stoploss order for id X"):
exchange.fetch_stoploss_order('X', 'TKN/BTC')['status']
api_mock.fetch_orders = MagicMock(return_value=[{'id': 'X', 'status': 'closed'}])
api_mock.fetch_order = MagicMock(return_value=limit_sell_order)
resp = exchange.fetch_stoploss_order('X', 'TKN/BTC')
assert resp
assert api_mock.fetch_order.call_count == 1
assert resp['id_stop'] == 'mocked_limit_sell'
assert resp['id'] == 'X'
assert resp['type'] == 'stop'
assert resp['status_stop'] == 'triggered'
with pytest.raises(InvalidOrderException):
api_mock.fetch_orders = MagicMock(side_effect=ccxt.InvalidOrder("Order not found"))
exchange = get_patched_exchange(mocker, default_conf, api_mock, id='ftx')
@@ -156,3 +168,26 @@ def test_fetch_stoploss_order(default_conf, mocker):
'fetch_stoploss_order', 'fetch_orders',
retries=API_FETCH_ORDER_RETRY_COUNT + 1,
order_id='_', pair='TKN/BTC')
def test_get_order_id(mocker, default_conf):
exchange = get_patched_exchange(mocker, default_conf, id='ftx')
order = {
'type': STOPLOSS_ORDERTYPE,
'price': 1500,
'id': '1111',
'id_stop': '1234',
'info': {
}
}
assert exchange.get_order_id_conditional(order) == '1234'
order = {
'type': 'limit',
'price': 1500,
'id': '1111',
'id_stop': '1234',
'info': {
}
}
assert exchange.get_order_id_conditional(order) == '1111'

3
tests/exchange/test_kraken.py
View File

@@ -90,6 +90,7 @@ def test_get_balances_prod(default_conf, mocker):
'3ST': balance_item.copy(),
'4ST': balance_item.copy(),
'EUR': balance_item.copy(),
'timestamp': 123123
})
kraken_open_orders = [{'symbol': '1ST/EUR',
'type': 'limit',
@@ -138,7 +139,7 @@ def test_get_balances_prod(default_conf, mocker):
default_conf['dry_run'] = False
exchange = get_patched_exchange(mocker, default_conf, api_mock, id="kraken")
balances = exchange.get_balances()
assert len(balances) == 5
assert len(balances) == 6
assert balances['1ST']['free'] == 9.0
assert balances['1ST']['total'] == 10.0

2
tests/optimize/__init__.py
View File

@@ -3,8 +3,8 @@ from typing import Dict, List, NamedTuple, Optional
import arrow
from pandas import DataFrame
from freqtrade.enums import SellType
from freqtrade.exchange import timeframe_to_minutes
from freqtrade.strategy.interface import SellType
tests_start_time = arrow.get(2018, 10, 3)

5
tests/optimize/conftest.py
View File

@@ -5,8 +5,8 @@ from pathlib import Path
import pandas as pd
import pytest
from freqtrade.enums import RunMode, SellType
from freqtrade.optimize.hyperopt import Hyperopt
from freqtrade.strategy.interface import SellType
from tests.conftest import patch_exchange
@@ -14,6 +14,8 @@ from tests.conftest import patch_exchange
def hyperopt_conf(default_conf):
hyperconf = deepcopy(default_conf)
hyperconf.update({
'datadir': Path(default_conf['datadir']),
'runmode': RunMode.HYPEROPT,
'hyperopt': 'DefaultHyperOpt',
'hyperopt_loss': 'ShortTradeDurHyperOptLoss',
'hyperopt_path': str(Path(__file__).parent / 'hyperopts'),
@@ -21,6 +23,7 @@ def hyperopt_conf(default_conf):
'timerange': None,
'spaces': ['default'],
'hyperopt_jobs': 1,
'hyperopt_min_trades': 1,
})
return hyperconf

35
tests/optimize/test_backtest_detail.py
View File

@@ -1,12 +1,11 @@
# pragma pylint: disable=missing-docstring, W0212, line-too-long, C0103, C0330, unused-argument
import logging
from unittest.mock import MagicMock
import pytest
from freqtrade.data.history import get_timerange
from freqtrade.enums import SellType
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.strategy.interface import SellType
from tests.conftest import patch_exchange
from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
_get_frame_time_from_offset, tests_timeframe)
@@ -186,7 +185,7 @@ tc11 = BTContainer(data=[
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[3, 5000, 5150, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi={"0": 0.10}, profit_perc=0.019, trailing_stop=True,
trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
@@ -269,7 +268,7 @@ tc16 = BTContainer(data=[
# Test 17: Buy, hold for 120 mins, then forcesell using roi=-1
# Causes negative profit even though sell-reason is ROI.
# stop-loss: 10%, ROI: 10% (should not apply), -100% after 100 minutes (limits trade duration)
# Uses open as sell-rate (special case) - since the roi-time is a multiple of the ticker interval.
# Uses open as sell-rate (special case) - since the roi-time is a multiple of the timeframe.
tc17 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5025, 4975, 4987, 6172, 1, 0],
@@ -441,6 +440,23 @@ tc27 = BTContainer(data=[
trades=[BTrade(sell_reason=SellType.ROI, open_tick=1, close_tick=4)]
)
# Test 28: trailing_stop should raise so candle 3 causes a stoploss
# Same case than tc11 - but candle 3 "gaps down" - the stoploss will be above the candle,
# therefore "open" will be used
# stop-loss: 10%, ROI: 10% (should not apply), stoploss adjusted candle 2
tc28 = BTContainer(data=[
# D O H L C V B S
[0, 5000, 5050, 4950, 5000, 6172, 1, 0],
[1, 5000, 5050, 4950, 5100, 6172, 0, 0],
[2, 5100, 5251, 5100, 5100, 6172, 0, 0],
[3, 4850, 5050, 4650, 4750, 6172, 0, 0],
[4, 4750, 4950, 4350, 4750, 6172, 0, 0]],
stop_loss=-0.10, roi={"0": 0.10}, profit_perc=-0.03, trailing_stop=True,
trailing_only_offset_is_reached=True, trailing_stop_positive_offset=0.05,
trailing_stop_positive=0.03,
trades=[BTrade(sell_reason=SellType.TRAILING_STOP_LOSS, open_tick=1, close_tick=3)]
)
TESTS = [
tc0,
tc1,
@@ -470,6 +486,7 @@ TESTS = [
tc25,
tc26,
tc27,
tc28,
]
@@ -489,10 +506,12 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
default_conf["trailing_stop_positive_offset"] = data.trailing_stop_positive_offset
default_conf["ask_strategy"] = {"use_sell_signal": data.use_sell_signal}
mocker.patch("freqtrade.exchange.Exchange.get_fee", MagicMock(return_value=0.0))
mocker.patch("freqtrade.exchange.Exchange.get_fee", return_value=0.0)
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
patch_exchange(mocker)
frame = _build_backtest_dataframe(data.data)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.advise_buy = lambda a, m: frame
backtesting.strategy.advise_sell = lambda a, m: frame
caplog.set_level(logging.DEBUG)
@@ -501,19 +520,19 @@ def test_backtest_results(default_conf, fee, mocker, caplog, data) -> None:
# Dummy data as we mock the analyze functions
data_processed = {pair: frame.copy()}
min_date, max_date = get_timerange({pair: frame})
results = backtesting.backtest(
result = backtesting.backtest(
processed=data_processed,
stake_amount=default_conf['stake_amount'],
start_date=min_date,
end_date=max_date,
max_open_trades=10,
)
results = result['results']
assert len(results) == len(data.trades)
assert round(results["profit_ratio"].sum(), 3) == round(data.profit_perc, 3)
for c, trade in enumerate(data.trades):
res = results.iloc[c]
assert res.sell_reason == trade.sell_reason
assert res.sell_reason == trade.sell_reason.value
assert res.open_date == _get_frame_time_from_offset(trade.open_tick)
assert res.close_date == _get_frame_time_from_offset(trade.close_tick)

238
tests/optimize/test_backtesting.py
View File

@@ -9,7 +9,6 @@ import pandas as pd
import pytest
from arrow import Arrow
from freqtrade import constants
from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_backtesting
from freqtrade.configuration import TimeRange
from freqtrade.data import history
@@ -17,11 +16,11 @@ from freqtrade.data.btanalysis import BT_DATA_COLUMNS, evaluate_result_multi
from freqtrade.data.converter import clean_ohlcv_dataframe
from freqtrade.data.dataprovider import DataProvider
from freqtrade.data.history import get_timerange
from freqtrade.enums import RunMode, SellType
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.optimize.backtesting import Backtesting
from freqtrade.persistence import LocalTrade
from freqtrade.resolvers import StrategyResolver
from freqtrade.state import RunMode
from freqtrade.strategy.interface import SellType
from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
@@ -83,6 +82,7 @@ def simple_backtest(config, contour, mocker, testdatadir) -> None:
patch_exchange(mocker)
config['timeframe'] = '1m'
backtesting = Backtesting(config)
backtesting._set_strategy(backtesting.strategylist[0])
data = load_data_test(contour, testdatadir)
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
@@ -90,7 +90,6 @@ def simple_backtest(config, contour, mocker, testdatadir) -> None:
assert isinstance(processed, dict)
results = backtesting.backtest(
processed=processed,
stake_amount=config['stake_amount'],
start_date=min_date,
end_date=max_date,
max_open_trades=1,
@@ -107,11 +106,11 @@ def _make_backtest_conf(mocker, datadir, conf=None, pair='UNITTEST/BTC'):
data = trim_dictlist(data, -201)
patch_exchange(mocker)
backtesting = Backtesting(conf)
backtesting._set_strategy(backtesting.strategylist[0])
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
min_date, max_date = get_timerange(processed)
return {
'processed': processed,
'stake_amount': conf['stake_amount'],
'start_date': min_date,
'end_date': max_date,
'max_open_trades': 10,
@@ -233,8 +232,7 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
assert log_has('Parameter --fee detected, setting fee to: {} ...'.format(config['fee']), caplog)
def test_setup_optimize_configuration_unlimited_stake_amount(mocker, default_conf, caplog) -> None:
default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
def test_setup_optimize_configuration_stake_amount(mocker, default_conf, caplog) -> None:
patched_configuration_load_config_file(mocker, default_conf)
@@ -242,9 +240,21 @@ def test_setup_optimize_configuration_unlimited_stake_amount(mocker, default_con
'backtesting',
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--stake-amount', '1',
'--starting-balance', '2'
]
with pytest.raises(DependencyException, match=r'.`stake_amount`.*'):
conf = setup_optimize_configuration(get_args(args), RunMode.BACKTEST)
assert isinstance(conf, dict)
args = [
'backtesting',
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--stake-amount', '1',
'--starting-balance', '0.5'
]
with pytest.raises(OperationalException, match=r"Starting balance .* smaller .*"):
setup_optimize_configuration(get_args(args), RunMode.BACKTEST)
@@ -276,6 +286,7 @@ def test_backtesting_init(mocker, default_conf, order_types) -> None:
patch_exchange(mocker)
get_fee = mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.5))
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
assert backtesting.config == default_conf
assert backtesting.timeframe == '5m'
assert callable(backtesting.strategy.ohlcvdata_to_dataframe)
@@ -306,11 +317,13 @@ def test_data_with_fee(default_conf, mocker, testdatadir) -> None:
fee_mock = mocker.patch('freqtrade.exchange.Exchange.get_fee', MagicMock(return_value=0.5))
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
assert backtesting.fee == 0.1234
assert fee_mock.call_count == 0
default_conf['fee'] = 0.0
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
assert backtesting.fee == 0.0
assert fee_mock.call_count == 0
@@ -321,6 +334,7 @@ def test_data_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
data = history.load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
fill_up_missing=True)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
assert len(processed['UNITTEST/BTC']) == 102
@@ -352,12 +366,13 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
default_conf['timerange'] = '-1510694220'
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.bot_loop_start = MagicMock()
backtesting.start()
# check the logs, that will contain the backtest result
exists = [
'Backtesting with data from 2017-11-14 21:17:00 '
'up to 2017-11-14 22:59:00 (0 days)..'
'up to 2017-11-14 22:59:00 (0 days).'
]
for line in exists:
assert log_has(line, caplog)
@@ -384,6 +399,7 @@ def test_backtesting_start_no_data(default_conf, mocker, caplog, testdatadir) ->
default_conf['timerange'] = '20180101-20180102'
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
with pytest.raises(OperationalException, match='No data found. Terminating.'):
backtesting.start()
@@ -448,25 +464,73 @@ def test_backtesting_pairlist_list(default_conf, mocker, caplog, testdatadir, ti
Backtesting(default_conf)
def test_backtest__enter_trade(default_conf, fee, mocker) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
patch_exchange(mocker)
default_conf['stake_amount'] = 'unlimited'
default_conf['max_open_trades'] = 2
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
pair = 'UNITTEST/BTC'
row = [
pd.Timestamp(year=2020, month=1, day=1, hour=5, minute=0),
1, # Sell
0.001, # Open
0.0011, # Close
0, # Sell
0.00099, # Low
0.0012, # High
]
trade = backtesting._enter_trade(pair, row=row)
assert isinstance(trade, LocalTrade)
assert trade.stake_amount == 495
# Fake 2 trades, so there's not enough amount for the next trade left.
LocalTrade.trades_open.append(trade)
LocalTrade.trades_open.append(trade)
trade = backtesting._enter_trade(pair, row=row)
assert trade is None
LocalTrade.trades_open.pop()
trade = backtesting._enter_trade(pair, row=row)
assert trade is not None
# Stake-amount too high!
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=600.0)
trade = backtesting._enter_trade(pair, row=row)
assert trade is None
# Stake-amount throwing error
mocker.patch("freqtrade.wallets.Wallets.get_trade_stake_amount",
side_effect=DependencyException)
trade = backtesting._enter_trade(pair, row=row)
assert trade is None
def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
pair = 'UNITTEST/BTC'
timerange = TimeRange('date', None, 1517227800, 0)
data = history.load_data(datadir=testdatadir, timeframe='5m', pairs=['UNITTEST/BTC'],
timerange=timerange)
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
min_date, max_date = get_timerange(processed)
results = backtesting.backtest(
result = backtesting.backtest(
processed=processed,
stake_amount=default_conf['stake_amount'],
start_date=min_date,
end_date=max_date,
max_open_trades=10,
position_stacking=False,
)
results = result['results']
assert not results.empty
assert len(results) == 2
@@ -486,7 +550,7 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
'trade_duration': [235, 40],
'profit_ratio': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'sell_reason': [SellType.ROI, SellType.ROI],
'sell_reason': [SellType.ROI.value, SellType.ROI.value],
'initial_stop_loss_abs': [0.0940005, 0.09272236],
'initial_stop_loss_ratio': [-0.1, -0.1],
'stop_loss_abs': [0.0940005, 0.09272236],
@@ -512,8 +576,10 @@ def test_backtest_one(default_conf, fee, mocker, testdatadir) -> None:
def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None:
default_conf['ask_strategy']['use_sell_signal'] = False
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
# Run a backtesting for an exiting 1min timeframe
timerange = TimeRange.parse_timerange('1510688220-1510700340')
@@ -523,19 +589,19 @@ def test_backtest_1min_timeframe(default_conf, fee, mocker, testdatadir) -> None
min_date, max_date = get_timerange(processed)
results = backtesting.backtest(
processed=processed,
stake_amount=default_conf['stake_amount'],
start_date=min_date,
end_date=max_date,
max_open_trades=1,
position_stacking=False,
)
assert not results.empty
assert len(results) == 1
assert not results['results'].empty
assert len(results['results']) == 1
def test_processed(default_conf, mocker, testdatadir) -> None:
patch_exchange(mocker)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
dict_of_tickerrows = load_data_test('raise', testdatadir)
dataframes = backtesting.strategy.ohlcvdata_to_dataframe(dict_of_tickerrows)
@@ -558,6 +624,7 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
default_conf['enable_protections'] = True
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
tests = [
['sine', 9],
['raise', 10],
@@ -568,7 +635,7 @@ def test_backtest_pricecontours_protections(default_conf, fee, mocker, testdatad
# While buy-signals are unrealistic, running backtesting
# over and over again should not cause different results
for [contour, numres] in tests:
assert len(simple_backtest(default_conf, contour, mocker, testdatadir)) == numres
assert len(simple_backtest(default_conf, contour, mocker, testdatadir)['results']) == numres
@pytest.mark.parametrize('protections,contour,expected', [
@@ -589,10 +656,11 @@ def test_backtest_pricecontours(default_conf, fee, mocker, testdatadir,
default_conf['protections'] = protections
default_conf['enable_protections'] = True
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
# While buy-signals are unrealistic, running backtesting
# over and over again should not cause different results
assert len(simple_backtest(default_conf, contour, mocker, testdatadir)) == expected
assert len(simple_backtest(default_conf, contour, mocker, testdatadir)['results']) == expected
def test_backtest_clash_buy_sell(mocker, default_conf, testdatadir):
@@ -604,10 +672,11 @@ def test_backtest_clash_buy_sell(mocker, default_conf, testdatadir):
backtest_conf = _make_backtest_conf(mocker, conf=default_conf, datadir=testdatadir)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.advise_buy = fun # Override
backtesting.strategy.advise_sell = fun # Override
results = backtesting.backtest(**backtest_conf)
assert results.empty
result = backtesting.backtest(**backtest_conf)
assert result['results'].empty
def test_backtest_only_sell(mocker, default_conf, testdatadir):
@@ -619,24 +688,28 @@ def test_backtest_only_sell(mocker, default_conf, testdatadir):
backtest_conf = _make_backtest_conf(mocker, conf=default_conf, datadir=testdatadir)
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.advise_buy = fun # Override
backtesting.strategy.advise_sell = fun # Override
results = backtesting.backtest(**backtest_conf)
assert results.empty
result = backtesting.backtest(**backtest_conf)
assert result['results'].empty
def test_backtest_alternate_buy_sell(default_conf, fee, mocker, testdatadir):
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
backtest_conf = _make_backtest_conf(mocker, conf=default_conf,
pair='UNITTEST/BTC', datadir=testdatadir)
default_conf['timeframe'] = '1m'
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.advise_buy = _trend_alternate # Override
backtesting.strategy.advise_sell = _trend_alternate # Override
results = backtesting.backtest(**backtest_conf)
result = backtesting.backtest(**backtest_conf)
# 200 candles in backtest data
# won't buy on first (shifted by 1)
# 100 buys signals
results = result['results']
assert len(results) == 100
# One trade was force-closed at the end
assert len(results.loc[results['is_open']]) == 0
@@ -658,6 +731,7 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
dataframe['sell'] = np.where((dataframe.index + multi - 2) % multi == 0, 1, 0)
return dataframe
mocker.patch("freqtrade.exchange.Exchange.get_min_pair_stake_amount", return_value=0.00001)
mocker.patch('freqtrade.exchange.Exchange.get_fee', fee)
patch_exchange(mocker)
@@ -671,6 +745,7 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
default_conf['timeframe'] = '5m'
backtesting = Backtesting(default_conf)
backtesting._set_strategy(backtesting.strategylist[0])
backtesting.strategy.advise_buy = _trend_alternate_hold # Override
backtesting.strategy.advise_sell = _trend_alternate_hold # Override
@@ -678,7 +753,6 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
min_date, max_date = get_timerange(processed)
backtest_conf = {
'processed': processed,
'stake_amount': default_conf['stake_amount'],
'start_date': min_date,
'end_date': max_date,
'max_open_trades': 3,
@@ -688,20 +762,19 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
results = backtesting.backtest(**backtest_conf)
# Make sure we have parallel trades
assert len(evaluate_result_multi(results, '5m', 2)) > 0
assert len(evaluate_result_multi(results['results'], '5m', 2)) > 0
# make sure we don't have trades with more than configured max_open_trades
assert len(evaluate_result_multi(results, '5m', 3)) == 0
assert len(evaluate_result_multi(results['results'], '5m', 3)) == 0
backtest_conf = {
'processed': processed,
'stake_amount': default_conf['stake_amount'],
'start_date': min_date,
'end_date': max_date,
'max_open_trades': 1,
'position_stacking': False,
}
results = backtesting.backtest(**backtest_conf)
assert len(evaluate_result_multi(results, '5m', 1)) == 0
assert len(evaluate_result_multi(results['results'], '5m', 1)) == 0
def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
@@ -733,9 +806,9 @@ def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Loading data from 2017-11-14 20:57:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Backtesting with data from 2017-11-14 21:17:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...'
]
@@ -746,8 +819,20 @@ def test_backtest_start_timerange(default_conf, mocker, caplog, testdatadir):
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
default_conf['ask_strategy'].update({
"use_sell_signal": True,
"sell_profit_only": False,
"sell_profit_offset": 0.0,
"ignore_roi_if_buy_signal": False,
})
patch_exchange(mocker)
backtestmock = MagicMock(return_value=pd.DataFrame(columns=BT_DATA_COLUMNS))
backtestmock = MagicMock(return_value={
'results': pd.DataFrame(columns=BT_DATA_COLUMNS),
'config': default_conf,
'locks': [],
'rejected_signals': 20,
'final_balance': 1000,
})
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', backtestmock)
@@ -761,7 +846,7 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
text_table_strategy=strattable_mock,
generate_pair_metrics=MagicMock(),
generate_sell_reason_stats=sell_reason_mock,
generate_strategy_metrics=strat_summary,
generate_strategy_comparison=strat_summary,
generate_daily_stats=MagicMock(),
)
patched_configuration_load_config_file(mocker, default_conf)
@@ -795,9 +880,9 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Loading data from 2017-11-14 20:57:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Backtesting with data from 2017-11-14 21:17:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategyLegacy',
@@ -809,39 +894,60 @@ def test_backtest_start_multi_strat(default_conf, mocker, caplog, testdatadir):
@pytest.mark.filterwarnings("ignore:deprecated")
def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdatadir, capsys):
default_conf['ask_strategy'].update({
"use_sell_signal": True,
"sell_profit_only": False,
"sell_profit_offset": 0.0,
"ignore_roi_if_buy_signal": False,
})
patch_exchange(mocker)
result1 = pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC'],
'profit_ratio': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00', ], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00', ], utc=True),
'trade_duration': [235, 40],
'is_open': [False, False],
'stake_amount': [0.01, 0.01],
'open_rate': [0.104445, 0.10302485],
'close_rate': [0.104969, 0.103541],
'sell_reason': [SellType.ROI, SellType.ROI]
})
result2 = pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC', 'ETH/BTC'],
'profit_ratio': [0.03, 0.01, 0.1],
'profit_abs': [0.01, 0.02, 0.2],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00',
'2018-01-30 05:30:00'], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00',
'2018-01-30 08:30:00'], utc=True),
'trade_duration': [47, 40, 20],
'is_open': [False, False, False],
'stake_amount': [0.01, 0.01, 0.01],
'open_rate': [0.104445, 0.10302485, 0.122541],
'close_rate': [0.104969, 0.103541, 0.123541],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
})
backtestmock = MagicMock(side_effect=[
pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC'],
'profit_ratio': [0.0, 0.0],
'profit_abs': [0.0, 0.0],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00', ], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00', ], utc=True),
'trade_duration': [235, 40],
'is_open': [False, False],
'open_rate': [0.104445, 0.10302485],
'close_rate': [0.104969, 0.103541],
'sell_reason': [SellType.ROI, SellType.ROI]
}),
pd.DataFrame({'pair': ['XRP/BTC', 'LTC/BTC', 'ETH/BTC'],
'profit_ratio': [0.03, 0.01, 0.1],
'profit_abs': [0.01, 0.02, 0.2],
'open_date': pd.to_datetime(['2018-01-29 18:40:00',
'2018-01-30 03:30:00',
'2018-01-30 05:30:00'], utc=True
),
'close_date': pd.to_datetime(['2018-01-29 20:45:00',
'2018-01-30 05:35:00',
'2018-01-30 08:30:00'], utc=True),
'trade_duration': [47, 40, 20],
'is_open': [False, False, False],
'open_rate': [0.104445, 0.10302485, 0.122541],
'close_rate': [0.104969, 0.103541, 0.123541],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
}),
{
'results': result1,
'config': default_conf,
'locks': [],
'rejected_signals': 20,
'final_balance': 1000,
},
{
'results': result2,
'config': default_conf,
'locks': [],
'rejected_signals': 20,
'final_balance': 1000,
}
])
mocker.patch('freqtrade.plugins.pairlistmanager.PairListManager.whitelist',
PropertyMock(return_value=['UNITTEST/BTC']))
@@ -872,9 +978,9 @@ def test_backtest_start_multi_strat_nomock(default_conf, mocker, caplog, testdat
'Parameter --timerange detected: 1510694220-1510700340 ...',
f'Using data directory: {testdatadir} ...',
'Loading data from 2017-11-14 20:57:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Backtesting with data from 2017-11-14 21:17:00 '
'up to 2017-11-14 22:58:00 (0 days)..',
'up to 2017-11-14 22:58:00 (0 days).',
'Parameter --enable-position-stacking detected ...',
'Running backtesting for Strategy DefaultStrategy',
'Running backtesting for Strategy TestStrategyLegacy',

2
tests/optimize/test_edge_cli.py
View File

@@ -4,8 +4,8 @@
from unittest.mock import MagicMock
from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_edge
from freqtrade.enums import RunMode
from freqtrade.optimize.edge_cli import EdgeCli
from freqtrade.state import RunMode
from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)

400
tests/optimize/test_hyperopt.py
View File

@@ -1,24 +1,27 @@
# pragma pylint: disable=missing-docstring,W0212,C0103
import locale
import logging
import re
from datetime import datetime
from pathlib import Path
from typing import Dict, List
from unittest.mock import MagicMock
from unittest.mock import ANY, MagicMock
import pandas as pd
import pytest
from arrow import Arrow
from filelock import Timeout
from freqtrade import constants
from freqtrade.commands.optimize_commands import setup_optimize_configuration, start_hyperopt
from freqtrade.data.history import load_data
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.enums import RunMode, SellType
from freqtrade.exceptions import OperationalException
from freqtrade.optimize.hyperopt import Hyperopt
from freqtrade.optimize.hyperopt_auto import HyperOptAuto
from freqtrade.optimize.hyperopt_tools import HyperoptTools
from freqtrade.optimize.optimize_reports import generate_strategy_stats
from freqtrade.optimize.space import SKDecimal
from freqtrade.resolvers.hyperopt_resolver import HyperOptResolver
from freqtrade.state import RunMode
from freqtrade.strategy.hyper import IntParameter
from tests.conftest import (get_args, log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
@@ -26,23 +29,7 @@ from .hyperopts.default_hyperopt import DefaultHyperOpt
# Functions for recurrent object patching
def create_results(mocker, hyperopt, testdatadir) -> List[Dict]:
"""
When creating results, mock the hyperopt so that *by default*
- we don't create any pickle'd files in the filesystem
- we might have a pickle'd file so make sure that we return
false when looking for it
"""
hyperopt.results_file = testdatadir / 'optimize/ut_results.pickle'
mocker.patch.object(Path, "is_file", MagicMock(return_value=False))
stat_mock = MagicMock()
stat_mock.st_size = 1
mocker.patch.object(Path, "stat", MagicMock(return_value=stat_mock))
mocker.patch.object(Path, "unlink", MagicMock(return_value=True))
mocker.patch('freqtrade.optimize.hyperopt.dump', return_value=None)
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
def create_results() -> List[Dict]:
return [{'loss': 1, 'result': 'foo', 'params': {}, 'is_best': True}]
@@ -130,8 +117,7 @@ def test_setup_hyperopt_configuration_with_arguments(mocker, default_conf, caplo
assert log_has('Parameter --print-all detected ...', caplog)
def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_conf) -> None:
default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
def test_setup_hyperopt_configuration_stake_amount(mocker, default_conf) -> None:
patched_configuration_load_config_file(mocker, default_conf)
@@ -139,9 +125,20 @@ def test_setup_hyperopt_configuration_unlimited_stake_amount(mocker, default_con
'hyperopt',
'--config', 'config.json',
'--hyperopt', 'DefaultHyperOpt',
'--stake-amount', '1',
'--starting-balance', '2'
]
conf = setup_optimize_configuration(get_args(args), RunMode.HYPEROPT)
assert isinstance(conf, dict)
with pytest.raises(DependencyException, match=r'.`stake_amount`.*'):
args = [
'hyperopt',
'--config', 'config.json',
'--strategy', 'DefaultStrategy',
'--stake-amount', '1',
'--starting-balance', '0.5'
]
with pytest.raises(OperationalException, match=r"Starting balance .* smaller .*"):
setup_optimize_configuration(get_args(args), RunMode.HYPEROPT)
@@ -306,55 +303,50 @@ def test_no_log_if_loss_does_not_improve(hyperopt, caplog) -> None:
assert caplog.record_tuples == []
def test_save_results_saves_epochs(mocker, hyperopt, testdatadir, caplog) -> None:
epochs = create_results(mocker, hyperopt, testdatadir)
mock_dump = mocker.patch('freqtrade.optimize.hyperopt.dump', return_value=None)
mock_dump_json = mocker.patch('freqtrade.optimize.hyperopt.file_dump_json', return_value=None)
results_file = testdatadir / 'optimize' / 'ut_results.pickle'
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)
hyperopt.epochs = epochs
hyperopt._save_results()
assert log_has(f"1 epoch saved to '{results_file}'.", caplog)
mock_dump.assert_called_once()
mock_dump_json.assert_called_once()
for epoch in epochs:
hyperopt._save_result(epoch)
assert log_has(f"1 epoch saved to '{hyperopt.results_file}'.", caplog)
hyperopt.epochs = epochs + epochs
hyperopt._save_results()
assert log_has(f"2 epochs saved to '{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_read_results_returns_epochs(mocker, hyperopt, testdatadir, caplog) -> None:
epochs = create_results(mocker, hyperopt, testdatadir)
mock_load = mocker.patch('freqtrade.optimize.hyperopt.load', return_value=epochs)
results_file = testdatadir / 'optimize' / 'ut_results.pickle'
hyperopt_epochs = hyperopt._read_results(results_file)
assert log_has(f"Reading epochs from '{results_file}'", caplog)
assert hyperopt_epochs == epochs
mock_load.assert_called_once()
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_results(mocker, hyperopt, testdatadir, caplog) -> None:
epochs = create_results(mocker, hyperopt, testdatadir)
mock_load = mocker.patch('freqtrade.optimize.hyperopt.load', return_value=epochs)
mocker.patch.object(Path, 'is_file', MagicMock(return_value=True))
statmock = MagicMock()
statmock.st_size = 5
# mocker.patch.object(Path, 'stat', MagicMock(return_value=statmock))
results_file = testdatadir / 'optimize' / 'ut_results.pickle'
hyperopt_epochs = hyperopt.load_previous_results(results_file)
assert hyperopt_epochs == epochs
mock_load.assert_called_once()
del epochs[0]['is_best']
mock_load = mocker.patch('freqtrade.optimize.hyperopt.load', return_value=epochs)
with pytest.raises(OperationalException):
hyperopt.load_previous_results(results_file)
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:
@@ -371,7 +363,8 @@ def test_roi_table_generation(hyperopt) -> None:
def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
@@ -410,9 +403,9 @@ def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
out, err = capsys.readouterr()
assert 'Best result:\n\n* 1/1: foo result Objective: 1.00000\n' in out
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
# Should be called for historical candle data
assert dumper.call_count == 1
assert dumper2.call_count == 1
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
@@ -420,18 +413,42 @@ def test_start_calls_optimizer(mocker, hyperopt_conf, capsys) -> None:
assert hasattr(hyperopt, "position_stacking")
def test_format_results(hyperopt):
# Test with BTC as stake_currency
trades = [
('ETH/BTC', 2, 2, 123),
('LTC/BTC', 1, 1, 123),
('XPR/BTC', -1, -2, -246)
]
labels = ['currency', 'profit_ratio', 'profit_abs', 'trade_duration']
df = pd.DataFrame.from_records(trades, columns=labels)
results_metrics = hyperopt._calculate_results_metrics(df)
results_explanation = hyperopt._format_results_explanation_string(results_metrics)
total_profit = results_metrics['total_profit']
def test_hyperopt_format_results(hyperopt):
bt_result = {
'results': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
"UNITTEST/BTC", "UNITTEST/BTC"],
"profit_ratio": [0.003312, 0.010801, 0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
"open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.003103, 0.003217],
"trade_duration": [123, 34, 31, 14],
"is_open": [False, False, False, True],
"stake_amount": [0.01, 0.01, 0.01, 0.01],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
}),
'config': hyperopt.config,
'locks': [],
'final_balance': 0.02,
'rejected_signals': 2,
'backtest_start_time': 1619718665,
'backtest_end_time': 1619718665,
}
results_metrics = generate_strategy_stats({'XRP/BTC': None}, '', bt_result,
Arrow(2017, 11, 14, 19, 32, 00),
Arrow(2017, 12, 14, 19, 32, 00), market_change=0)
results_explanation = HyperoptTools.format_results_explanation_string(results_metrics, 'BTC')
total_profit = results_metrics['profit_total_abs']
results = {
'loss': 0.0,
@@ -444,22 +461,10 @@ def test_format_results(hyperopt):
'is_initial_point': True,
}
result = hyperopt._format_explanation_string(results, 1)
assert result.find(' 66.67%')
assert result.find('Total profit 1.00000000 BTC')
assert result.find('2.0000Σ %')
# Test with EUR as stake_currency
trades = [
('ETH/EUR', 2, 2, 123),
('LTC/EUR', 1, 1, 123),
('XPR/EUR', -1, -2, -246)
]
df = pd.DataFrame.from_records(trades, columns=labels)
results_metrics = hyperopt._calculate_results_metrics(df)
results['total_profit'] = results_metrics['total_profit']
result = hyperopt._format_explanation_string(results, 1)
assert result.find('Total profit 1.00000000 EUR')
result = HyperoptTools._format_explanation_string(results, 1)
assert ' 0.71%' in result
assert 'Total profit 0.00003100 BTC' in result
assert '0:50:00 min' in result
@pytest.mark.parametrize("spaces, expected_results", [
@@ -490,10 +495,10 @@ def test_format_results(hyperopt):
(['default', 'buy'],
{'buy': True, 'sell': True, 'roi': True, 'stoploss': True, 'trailing': False}),
])
def test_has_space(hyperopt, spaces, expected_results):
def test_has_space(hyperopt_conf, spaces, expected_results):
for s in ['buy', 'sell', 'roi', 'stoploss', 'trailing']:
hyperopt.config.update({'spaces': spaces})
assert hyperopt.has_space(s) == expected_results[s]
hyperopt_conf.update({'spaces': spaces})
assert HyperoptTools.has_space(hyperopt_conf, s) == expected_results[s]
def test_populate_indicators(hyperopt, testdatadir) -> None:
@@ -564,22 +569,39 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'hyperopt_min_trades': 1,
})
trades = [
('TRX/BTC', 0.023117, 0.000233, 100)
]
labels = ['currency', 'profit_ratio', 'profit_abs', 'trade_duration']
backtest_result = pd.DataFrame.from_records(trades, columns=labels)
backtest_result = {
'results': pd.DataFrame({"pair": ["UNITTEST/BTC", "UNITTEST/BTC",
"UNITTEST/BTC", "UNITTEST/BTC"],
"profit_ratio": [0.003312, 0.010801, 0.013803, 0.002780],
"profit_abs": [0.000003, 0.000011, 0.000014, 0.000003],
"open_date": [Arrow(2017, 11, 14, 19, 32, 00).datetime,
Arrow(2017, 11, 14, 21, 36, 00).datetime,
Arrow(2017, 11, 14, 22, 12, 00).datetime,
Arrow(2017, 11, 14, 22, 44, 00).datetime],
"close_date": [Arrow(2017, 11, 14, 21, 35, 00).datetime,
Arrow(2017, 11, 14, 22, 10, 00).datetime,
Arrow(2017, 11, 14, 22, 43, 00).datetime,
Arrow(2017, 11, 14, 22, 58, 00).datetime],
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.003103, 0.003217],
"trade_duration": [123, 34, 31, 14],
"is_open": [False, False, False, True],
"stake_amount": [0.01, 0.01, 0.01, 0.01],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
}),
'config': hyperopt_conf,
'locks': [],
'rejected_signals': 20,
'final_balance': 1000,
}
mocker.patch(
'freqtrade.optimize.hyperopt.Backtesting.backtest',
MagicMock(return_value=backtest_result)
)
mocker.patch(
'freqtrade.optimize.hyperopt.get_timerange',
MagicMock(return_value=(Arrow(2017, 12, 10), Arrow(2017, 12, 13)))
)
mocker.patch('freqtrade.optimize.hyperopt.Backtesting.backtest', return_value=backtest_result)
mocker.patch('freqtrade.optimize.hyperopt.get_timerange',
return_value=(Arrow(2017, 12, 10), Arrow(2017, 12, 13)))
patch_exchange(mocker)
mocker.patch('freqtrade.optimize.hyperopt.load', MagicMock())
mocker.patch.object(Path, 'open')
mocker.patch('freqtrade.optimize.hyperopt.load', return_value={'XRP/BTC': None})
optimizer_param = {
'adx-value': 0,
@@ -613,12 +635,12 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'trailing_only_offset_is_reached': False,
}
response_expected = {
'loss': 1.9840569076926293,
'results_explanation': (' 1 trades. 1/0/0 Wins/Draws/Losses. '
'Avg profit 2.31%. Median profit 2.31%. Total profit '
'0.00023300 BTC ( 2.31\N{GREEK CAPITAL LETTER SIGMA}%). '
'Avg duration 100.0 min.'
).encode(locale.getpreferredencoding(), 'replace').decode('utf-8'),
'loss': 1.9147239021396234,
'results_explanation': (' 4 trades. 4/0/0 Wins/Draws/Losses. '
'Avg profit 0.77%. Median profit 0.71%. Total profit '
'0.00003100 BTC ( 0.00%). '
'Avg duration 0:50:00 min.'
),
'params_details': {'buy': {'adx-enabled': False,
'adx-value': 0,
'fastd-enabled': True,
@@ -628,10 +650,10 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'rsi-enabled': False,
'rsi-value': 0,
'trigger': 'macd_cross_signal'},
'roi': {0: 0.12000000000000001,
20.0: 0.02,
50.0: 0.01,
110.0: 0},
'roi': {"0": 0.12000000000000001,
"20.0": 0.02,
"50.0": 0.01,
"110.0": 0},
'sell': {'sell-adx-enabled': False,
'sell-adx-value': 0,
'sell-fastd-enabled': True,
@@ -647,21 +669,16 @@ def test_generate_optimizer(mocker, hyperopt_conf) -> None:
'trailing_stop_positive': 0.02,
'trailing_stop_positive_offset': 0.07}},
'params_dict': optimizer_param,
'results_metrics': {'avg_profit': 2.3117,
'draws': 0,
'duration': 100.0,
'losses': 0,
'winsdrawslosses': ' 1 0 0',
'median_profit': 2.3117,
'profit': 2.3117,
'total_profit': 0.000233,
'trade_count': 1,
'wins': 1},
'total_profit': 0.00023300
'params_not_optimized': {'buy': {}, 'sell': {}},
'results_metrics': ANY,
'total_profit': 3.1e-08
}
hyperopt = Hyperopt(hyperopt_conf)
hyperopt.dimensions = hyperopt.hyperopt_space()
hyperopt.min_date = Arrow(2017, 12, 10)
hyperopt.max_date = Arrow(2017, 12, 13)
hyperopt.init_spaces()
hyperopt.dimensions = hyperopt.dimensions
generate_optimizer_value = hyperopt.generate_optimizer(list(optimizer_param.values()))
assert generate_optimizer_value == response_expected
@@ -678,7 +695,8 @@ def test_clean_hyperopt(mocker, hyperopt_conf, caplog):
def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
@@ -729,13 +747,14 @@ def test_print_json_spaces_all(mocker, hyperopt_conf, capsys) -> None:
':{},"stoploss":null,"trailing_stop":null}'
)
assert result_str in out # noqa: E501
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
# Should be called for historical candle data
assert dumper.call_count == 1
assert dumper2.call_count == 1
def test_print_json_spaces_default(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -777,13 +796,14 @@ def test_print_json_spaces_default(mocker, hyperopt_conf, capsys) -> None:
out, err = capsys.readouterr()
assert '{"params":{"mfi-value":null,"sell-mfi-value":null},"minimal_roi":{},"stoploss":null}' in out # noqa: E501
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
# Should be called for historical candle data
assert dumper.call_count == 1
assert dumper2.call_count == 1
def test_print_json_spaces_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -824,13 +844,14 @@ def test_print_json_spaces_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
out, err = capsys.readouterr()
assert '{"minimal_roi":{},"stoploss":null}' in out
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
assert dumper.call_count == 1
assert dumper2.call_count == 1
def test_simplified_interface_roi_stoploss(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -872,9 +893,9 @@ def test_simplified_interface_roi_stoploss(mocker, hyperopt_conf, capsys) -> Non
out, err = capsys.readouterr()
assert 'Best result:\n\n* 1/1: foo result Objective: 1.00000\n' in out
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
assert dumper.call_count == 1
assert dumper2.call_count == 1
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
@@ -910,7 +931,8 @@ def test_simplified_interface_all_failed(mocker, hyperopt_conf) -> None:
def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -953,8 +975,8 @@ def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
out, err = capsys.readouterr()
assert 'Best result:\n\n* 1/1: foo result Objective: 1.00000\n' in out
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
assert dumper.call_count == 1
assert dumper2.call_count == 1
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
@@ -963,7 +985,8 @@ def test_simplified_interface_buy(mocker, hyperopt_conf, capsys) -> None:
def test_simplified_interface_sell(mocker, hyperopt_conf, capsys) -> None:
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump', MagicMock())
dumper = mocker.patch('freqtrade.optimize.hyperopt.dump')
dumper2 = mocker.patch('freqtrade.optimize.hyperopt.Hyperopt._save_result')
mocker.patch('freqtrade.optimize.hyperopt.file_dump_json')
mocker.patch('freqtrade.optimize.backtesting.Backtesting.load_bt_data',
MagicMock(return_value=(MagicMock(), None)))
@@ -1006,8 +1029,8 @@ def test_simplified_interface_sell(mocker, hyperopt_conf, capsys) -> None:
out, err = capsys.readouterr()
assert 'Best result:\n\n* 1/1: foo result Objective: 1.00000\n' in out
assert dumper.called
# Should be called twice, once for historical candle data, once to save evaluations
assert dumper.call_count == 2
assert dumper.call_count == 1
assert dumper2.call_count == 1
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
assert hasattr(hyperopt, "max_open_trades")
@@ -1045,7 +1068,7 @@ def test_simplified_interface_failed(mocker, hyperopt_conf, method, space) -> No
hyperopt.start()
def test_print_epoch_details(capsys):
def test_show_epoch_details(capsys):
test_result = {
'params_details': {
'trailing': {
@@ -1067,7 +1090,7 @@ def test_print_epoch_details(capsys):
'is_best': True
}
Hyperopt.print_epoch_details(test_result, 5, False, no_header=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)
@@ -1079,3 +1102,58 @@ def test_print_epoch_details(capsys):
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)
(Path(tmpdir) / 'hyperopt_results').mkdir(parents=True)
# No hyperopt needed
del hyperopt_conf['hyperopt']
hyperopt_conf.update({
'strategy': 'HyperoptableStrategy',
'user_data_dir': Path(tmpdir),
})
hyperopt = Hyperopt(hyperopt_conf)
assert isinstance(hyperopt.custom_hyperopt, HyperOptAuto)
assert isinstance(hyperopt.backtesting.strategy.buy_rsi, IntParameter)
assert hyperopt.backtesting.strategy.buy_rsi.in_space is True
assert hyperopt.backtesting.strategy.buy_rsi.value == 35
buy_rsi_range = hyperopt.backtesting.strategy.buy_rsi.range
assert isinstance(buy_rsi_range, range)
# Range from 0 - 50 (inclusive)
assert len(list(buy_rsi_range)) == 51
hyperopt.start()
def test_SKDecimal():
space = SKDecimal(1, 2, decimals=2)
assert 1.5 in space
assert 2.5 not in space
assert space.low == 100
assert space.high == 200
assert space.inverse_transform([200]) == [2.0]
assert space.inverse_transform([100]) == [1.0]
assert space.inverse_transform([150, 160]) == [1.5, 1.6]
assert space.transform([1.5]) == [150]
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
}"""

4
tests/optimize/test_hyperoptloss.py
View File

@@ -149,9 +149,9 @@ def test_sortino_loss_daily_prefers_higher_profits(default_conf, hyperopt_result
def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results) -> None:
results_over = hyperopt_results.copy()
results_over['profit_ratio'] = hyperopt_results['profit_ratio'] * 2
results_over['profit_abs'] = hyperopt_results['profit_abs'] * 2
results_under = hyperopt_results.copy()
results_under['profit_ratio'] = hyperopt_results['profit_ratio'] / 2
results_under['profit_abs'] = hyperopt_results['profit_abs'] / 2
default_conf.update({'hyperopt_loss': 'OnlyProfitHyperOptLoss'})
hl = HyperOptLossResolver.load_hyperoptloss(default_conf)

144
tests/optimize/test_optimize_reports.py
View File

@@ -1,5 +1,6 @@
import datetime
import re
from datetime import datetime, timedelta, timezone
from datetime import timedelta
from pathlib import Path
import pandas as pd
@@ -7,18 +8,19 @@ import pytest
from arrow import Arrow
from freqtrade.configuration import TimeRange
from freqtrade.constants import LAST_BT_RESULT_FN
from freqtrade.constants import DATETIME_PRINT_FORMAT, LAST_BT_RESULT_FN
from freqtrade.data import history
from freqtrade.data.btanalysis import get_latest_backtest_filename, load_backtest_data
from freqtrade.edge import PairInfo
from freqtrade.enums import SellType
from freqtrade.optimize.optimize_reports import (generate_backtest_stats, generate_daily_stats,
generate_edge_table, generate_pair_metrics,
generate_sell_reason_stats,
generate_strategy_metrics, store_backtest_stats,
generate_strategy_comparison,
generate_trading_stats, store_backtest_stats,
text_table_bt_results, text_table_sell_reason,
text_table_strategy)
from freqtrade.resolvers.strategy_resolver import StrategyResolver
from freqtrade.strategy.interface import SellType
from tests.data.test_history import _backup_file, _clean_test_file
@@ -26,33 +28,30 @@ def test_text_table_bt_results():
results = pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC'],
'profit_ratio': [0.1, 0.2],
'profit_abs': [0.2, 0.4],
'trade_duration': [10, 30],
'wins': [2, 0],
'draws': [0, 0],
'losses': [0, 0]
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
'profit_ratio': [0.1, 0.2, -0.05],
'profit_abs': [0.2, 0.4, -0.1],
'trade_duration': [10, 30, 20],
}
)
result_str = (
'| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |'
' Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
'|---------+--------+----------------+----------------+------------------+'
'----------------+----------------+--------+---------+----------|\n'
'| ETH/BTC | 2 | 15.00 | 30.00 | 0.60000000 |'
' 15.00 | 0:20:00 | 2 | 0 | 0 |\n'
'| TOTAL | 2 | 15.00 | 30.00 | 0.60000000 |'
' 15.00 | 0:20:00 | 2 | 0 | 0 |'
'| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % |'
' Avg Duration | Win Draw Loss Win% |\n'
'|---------+--------+----------------+----------------+------------------+----------------+'
'----------------+-------------------------|\n'
'| ETH/BTC | 3 | 8.33 | 25.00 | 0.50000000 | 12.50 |'
' 0:20:00 | 2 0 1 66.7 |\n'
'| TOTAL | 3 | 8.33 | 25.00 | 0.50000000 | 12.50 |'
' 0:20:00 | 2 0 1 66.7 |'
)
pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC',
max_open_trades=2, results=results)
starting_balance=4, results=results)
assert text_table_bt_results(pair_results, stake_currency='BTC') == result_str
def test_generate_backtest_stats(default_conf, testdatadir):
def test_generate_backtest_stats(default_conf, testdatadir, tmpdir):
default_conf.update({'strategy': 'DefaultStrategy'})
StrategyResolver.load_strategy(default_conf)
@@ -73,11 +72,14 @@ def test_generate_backtest_stats(default_conf, testdatadir):
"close_rate": [0.002546, 0.003014, 0.003103, 0.003217],
"trade_duration": [123, 34, 31, 14],
"is_open": [False, False, False, True],
"stake_amount": [0.01, 0.01, 0.01, 0.01],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
}),
'config': default_conf,
'locks': [],
'final_balance': 1000.02,
'rejected_signals': 20,
'backtest_start_time': Arrow.utcnow().int_timestamp,
'backtest_end_time': Arrow.utcnow().int_timestamp,
}
@@ -94,12 +96,13 @@ def test_generate_backtest_stats(default_conf, testdatadir):
assert 'DefStrat' in stats['strategy']
assert 'strategy_comparison' in stats
strat_stats = stats['strategy']['DefStrat']
assert strat_stats['backtest_start'] == min_date.datetime
assert strat_stats['backtest_end'] == max_date.datetime
assert strat_stats['backtest_start'] == min_date.strftime(DATETIME_PRINT_FORMAT)
assert strat_stats['backtest_end'] == max_date.strftime(DATETIME_PRINT_FORMAT)
assert strat_stats['total_trades'] == len(results['DefStrat']['results'])
# Above sample had no loosing trade
assert strat_stats['max_drawdown'] == 0.0
# Retry with losing trade
results = {'DefStrat': {
'results': pd.DataFrame(
{"pair": ["UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC", "UNITTEST/BTC"],
@@ -116,23 +119,37 @@ def test_generate_backtest_stats(default_conf, testdatadir):
"open_rate": [0.002543, 0.003003, 0.003089, 0.003214],
"close_rate": [0.002546, 0.003014, 0.0032903, 0.003217],
"trade_duration": [123, 34, 31, 14],
"open_at_end": [False, False, False, True],
"sell_reason": [SellType.ROI, SellType.STOP_LOSS,
SellType.ROI, SellType.FORCE_SELL]
"is_open": [False, False, False, True],
"stake_amount": [0.01, 0.01, 0.01, 0.01],
"sell_reason": [SellType.ROI, SellType.ROI,
SellType.STOP_LOSS, SellType.FORCE_SELL]
}),
'config': default_conf}
'config': default_conf,
'locks': [],
'final_balance': 1000.02,
'rejected_signals': 20,
'backtest_start_time': Arrow.utcnow().int_timestamp,
'backtest_end_time': Arrow.utcnow().int_timestamp,
}
}
assert strat_stats['max_drawdown'] == 0.0
assert strat_stats['drawdown_start'] == datetime(1970, 1, 1, tzinfo=timezone.utc)
assert strat_stats['drawdown_end'] == datetime(1970, 1, 1, tzinfo=timezone.utc)
assert strat_stats['drawdown_end_ts'] == 0
assert strat_stats['drawdown_start_ts'] == 0
stats = generate_backtest_stats(btdata, results, min_date, max_date)
assert isinstance(stats, dict)
assert 'strategy' in stats
assert 'DefStrat' in stats['strategy']
assert 'strategy_comparison' in stats
strat_stats = stats['strategy']['DefStrat']
assert strat_stats['max_drawdown'] == 0.013803
assert strat_stats['drawdown_start'] == '2017-11-14 22:10:00'
assert strat_stats['drawdown_end'] == '2017-11-14 22:43:00'
assert strat_stats['drawdown_end_ts'] == 1510699380000
assert strat_stats['drawdown_start_ts'] == 1510697400000
assert strat_stats['pairlist'] == ['UNITTEST/BTC']
# Test storing stats
filename = Path(testdatadir / 'btresult.json')
filename_last = Path(testdatadir / LAST_BT_RESULT_FN)
filename = Path(tmpdir / 'btresult.json')
filename_last = Path(tmpdir / LAST_BT_RESULT_FN)
_backup_file(filename_last, copy_file=True)
assert not filename.is_file()
@@ -142,7 +159,7 @@ def test_generate_backtest_stats(default_conf, testdatadir):
last_fn = get_latest_backtest_filename(filename_last.parent)
assert re.match(r"btresult-.*\.json", last_fn)
filename1 = (testdatadir / last_fn)
filename1 = Path(tmpdir / last_fn)
assert filename1.is_file()
content = filename1.read_text()
assert 'max_drawdown' in content
@@ -189,7 +206,7 @@ def test_generate_pair_metrics():
)
pair_results = generate_pair_metrics(data={'ETH/BTC': {}}, stake_currency='BTC',
max_open_trades=2, results=results)
starting_balance=2, results=results)
assert isinstance(pair_results, list)
assert len(pair_results) == 2
assert pair_results[-1]['key'] == 'TOTAL'
@@ -210,8 +227,6 @@ def test_generate_daily_stats(testdatadir):
assert res['winning_days'] == 14
assert res['draw_days'] == 4
assert res['losing_days'] == 3
assert res['winner_holding_avg'] == timedelta(seconds=1440)
assert res['loser_holding_avg'] == timedelta(days=1, seconds=21420)
# Select empty dataframe!
res = generate_daily_stats(bt_data.loc[bt_data['open_date'] == '2000-01-01', :])
@@ -222,6 +237,23 @@ def test_generate_daily_stats(testdatadir):
assert res['losing_days'] == 0
def test_generate_trading_stats(testdatadir):
filename = testdatadir / "backtest-result_new.json"
bt_data = load_backtest_data(filename)
res = generate_trading_stats(bt_data)
assert isinstance(res, dict)
assert res['winner_holding_avg'] == timedelta(seconds=1440)
assert res['loser_holding_avg'] == timedelta(days=1, seconds=21420)
assert 'wins' in res
assert 'losses' in res
assert 'draws' in res
# Select empty dataframe!
res = generate_trading_stats(bt_data.loc[bt_data['open_date'] == '2000-01-01', :])
assert res['wins'] == 0
assert res['losses'] == 0
def test_text_table_sell_reason():
results = pd.DataFrame(
@@ -238,14 +270,14 @@ def test_text_table_sell_reason():
)
result_str = (
'| Sell Reason | Sells | Wins | Draws | Losses |'
' Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % |\n'
'|---------------+---------+--------+---------+----------+'
'----------------+----------------+------------------+----------------|\n'
'| roi | 2 | 2 | 0 | 0 |'
' 15 | 30 | 0.6 | 15 |\n'
'| stop_loss | 1 | 0 | 0 | 1 |'
' -10 | -10 | -0.2 | -5 |'
'| Sell Reason | Sells | Win Draws Loss Win% | Avg Profit % | Cum Profit % |'
' Tot Profit BTC | Tot Profit % |\n'
'|---------------+---------+--------------------------+----------------+----------------+'
'------------------+----------------|\n'
'| roi | 2 | 2 0 0 100 | 15 | 30 |'
' 0.6 | 15 |\n'
'| stop_loss | 1 | 0 0 1 0 | -10 | -10 |'
' -0.2 | -5 |'
)
sell_reason_stats = generate_sell_reason_stats(max_open_trades=2,
@@ -265,7 +297,7 @@ def test_generate_sell_reason_stats():
'wins': [2, 0, 0],
'draws': [0, 0, 0],
'losses': [0, 0, 1],
'sell_reason': [SellType.ROI, SellType.ROI, SellType.STOP_LOSS]
'sell_reason': [SellType.ROI.value, SellType.ROI.value, SellType.STOP_LOSS.value]
}
)
@@ -291,10 +323,14 @@ def test_generate_sell_reason_stats():
def test_text_table_strategy(default_conf):
default_conf['max_open_trades'] = 2
default_conf['dry_run_wallet'] = 3
results = {}
date = datetime.datetime(year=2020, month=1, day=1, hour=12, minute=30)
delta = datetime.timedelta(days=1)
results['TestStrategy1'] = {'results': pd.DataFrame(
{
'pair': ['ETH/BTC', 'ETH/BTC', 'ETH/BTC'],
'close_date': [date, date + delta, date + delta * 2],
'profit_ratio': [0.1, 0.2, 0.3],
'profit_abs': [0.2, 0.4, 0.5],
'trade_duration': [10, 30, 10],
@@ -307,6 +343,7 @@ def test_text_table_strategy(default_conf):
results['TestStrategy2'] = {'results': pd.DataFrame(
{
'pair': ['LTC/BTC', 'LTC/BTC', 'LTC/BTC'],
'close_date': [date, date + delta, date + delta * 2],
'profit_ratio': [0.4, 0.2, 0.3],
'profit_abs': [0.4, 0.4, 0.5],
'trade_duration': [15, 30, 15],
@@ -318,18 +355,17 @@ def test_text_table_strategy(default_conf):
), 'config': default_conf}
result_str = (
'| Strategy | Buys | Avg Profit % | Cum Profit % | Tot'
' Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
'| Strategy | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |'
' Tot Profit % | Avg Duration | Win Draw Loss Win% | Drawdown |\n'
'|---------------+--------+----------------+----------------+------------------+'
'----------------+----------------+--------+---------+----------|\n'
'----------------+----------------+-------------------------+-----------------------|\n'
'| TestStrategy1 | 3 | 20.00 | 60.00 | 1.10000000 |'
' 30.00 | 0:17:00 | 3 | 0 | 0 |\n'
' 36.67 | 0:17:00 | 3 0 0 100 | 0.00000000 BTC 0.00% |\n'
'| TestStrategy2 | 3 | 30.00 | 90.00 | 1.30000000 |'
' 45.00 | 0:20:00 | 3 | 0 | 0 |'
' 43.33 | 0:20:00 | 3 0 0 100 | 0.00000000 BTC 0.00% |'
)
strategy_results = generate_strategy_metrics(all_results=results)
strategy_results = generate_strategy_comparison(all_results=results)
assert text_table_strategy(strategy_results, 'BTC') == result_str

49
tests/plugins/test_pairlist.py
View File

@@ -1,15 +1,17 @@
# pragma pylint: disable=missing-docstring,C0103,protected-access
import time
from unittest.mock import MagicMock, PropertyMock
import pytest
from freqtrade.constants import AVAILABLE_PAIRLISTS
from freqtrade.exceptions import OperationalException
from freqtrade.persistence import Trade
from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
from freqtrade.plugins.pairlistmanager import PairListManager
from freqtrade.resolvers import PairListResolver
from tests.conftest import get_patched_freqtradebot, log_has, log_has_re
from tests.conftest import get_patched_exchange, get_patched_freqtradebot, log_has, log_has_re
@pytest.fixture(scope="function")
@@ -260,6 +262,8 @@ def test_refresh_pairlist_dynamic_2(mocker, shitcoinmarkets, tickers, whitelist_
freqtrade.pairlists.refresh_pairlist()
assert whitelist == freqtrade.pairlists.whitelist
# Delay to allow 0 TTL cache to expire...
time.sleep(1)
whitelist = ['FUEL/BTC', 'ETH/BTC', 'TKN/BTC', 'LTC/BTC', 'XRP/BTC']
tickers_dict['FUEL/BTC']['quoteVolume'] = 10000.0
freqtrade.pairlists.refresh_pairlist()
@@ -403,10 +407,17 @@ def test_VolumePairList_refresh_empty(mocker, markets_empty, whitelist_conf):
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "low_price_ratio": 0.02}],
"USDT", ['ETH/USDT', 'NANO/USDT']),
([{"method": "VolumePairList", "number_assets": 20, "sort_key": "quoteVolume"},
{"method": "PriceFilter", "max_value": 0.000001}],
"USDT", ['NANO/USDT']),
([{"method": "StaticPairList"},
{"method": "RangeStabilityFilter", "lookback_days": 10,
"min_rate_of_change": 0.01, "refresh_period": 1440}],
"BTC", ['ETH/BTC', 'TKN/BTC', 'HOT/BTC']),
([{"method": "StaticPairList"},
{"method": "VolatilityFilter", "lookback_days": 3,
"min_volatility": 0.002, "max_volatility": 0.004, "refresh_period": 1440}],
"BTC", ['ETH/BTC', 'TKN/BTC'])
])
def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, tickers,
ohlcv_history, pairlists, base_currency,
@@ -414,12 +425,15 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
whitelist_conf['pairlists'] = pairlists
whitelist_conf['stake_currency'] = base_currency
ohlcv_history_high_vola = ohlcv_history.copy()
ohlcv_history_high_vola.loc[ohlcv_history_high_vola.index == 1, 'close'] = 0.00090
ohlcv_data = {
('ETH/BTC', '1d'): ohlcv_history,
('TKN/BTC', '1d'): ohlcv_history,
('LTC/BTC', '1d'): ohlcv_history,
('XRP/BTC', '1d'): ohlcv_history,
('HOT/BTC', '1d'): ohlcv_history,
('HOT/BTC', '1d'): ohlcv_history_high_vola,
}
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
@@ -478,6 +492,8 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
r'because last price < .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because last price > .*%$', caplog) or
log_has_re(r'^Removed .* from whitelist, '
r'because min value change of .*', caplog) or
log_has_re(r"^Removed .* from whitelist, because ticker\['last'\] "
r"is empty.*", caplog))
if pairlist['method'] == 'VolumePairList':
@@ -487,6 +503,8 @@ def test_VolumePairList_whitelist_gen(mocker, whitelist_conf, shitcoinmarkets, t
assert log_has(logmsg, caplog)
else:
assert not log_has(logmsg, caplog)
if pairlist["method"] == 'VolatilityFilter':
assert log_has_re(r'^Removed .* from whitelist, because volatility.*$', caplog)
def test_PrecisionFilter_error(mocker, whitelist_conf) -> None:
@@ -500,6 +518,18 @@ def test_PrecisionFilter_error(mocker, whitelist_conf) -> None:
PairListManager(MagicMock, whitelist_conf)
def test_PerformanceFilter_error(mocker, whitelist_conf, caplog) -> None:
whitelist_conf['pairlists'] = [{"method": "StaticPairList"}, {"method": "PerformanceFilter"}]
if hasattr(Trade, 'query'):
del Trade.query
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
exchange = get_patched_exchange(mocker, whitelist_conf)
pm = PairListManager(exchange, whitelist_conf)
pm.refresh_pairlist()
assert log_has("PerformanceFilter is not available in this mode.", caplog)
def test_gen_pair_whitelist_not_supported(mocker, default_conf, tickers) -> None:
default_conf['pairlists'] = [{'method': 'VolumePairList', 'number_assets': 10}]
@@ -595,17 +625,14 @@ def test_volumepairlist_caching(mocker, markets, whitelist_conf, tickers):
get_tickers=tickers
)
freqtrade = get_patched_freqtradebot(mocker, whitelist_conf)
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh == 0
assert len(freqtrade.pairlists._pairlist_handlers[0]._pair_cache) == 0
assert tickers.call_count == 0
freqtrade.pairlists.refresh_pairlist()
assert tickers.call_count == 1
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh != 0
lrf = freqtrade.pairlists._pairlist_handlers[0]._last_refresh
assert len(freqtrade.pairlists._pairlist_handlers[0]._pair_cache) == 1
freqtrade.pairlists.refresh_pairlist()
assert tickers.call_count == 1
# Time should not be updated.
assert freqtrade.pairlists._pairlist_handlers[0]._last_refresh == lrf
def test_agefilter_min_days_listed_too_small(mocker, default_conf, markets, tickers):
@@ -778,6 +805,10 @@ def test_spreadfilter_invalid_data(mocker, default_conf, markets, tickers, caplo
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced below 0.00002000.'}]",
None
),
({"method": "PriceFilter", "max_value": 0.00002000},
"[{'PriceFilter': 'PriceFilter - Filtering pairs priced Value above 0.00002000.'}]",
None
),
({"method": "PriceFilter"},
"[{'PriceFilter': 'PriceFilter - No price filters configured.'}]",
None
@@ -794,6 +825,10 @@ def test_spreadfilter_invalid_data(mocker, default_conf, markets, tickers, caplo
None,
"PriceFilter requires max_price to be >= 0"
), # OperationalException expected
({"method": "PriceFilter", "max_value": -1.00010000},
None,
"PriceFilter requires max_value to be >= 0"
), # OperationalException expected
({"method": "RangeStabilityFilter", "lookback_days": 10, "min_rate_of_change": 0.01},
"[{'RangeStabilityFilter': 'RangeStabilityFilter - Filtering pairs with rate of change below "
"0.01 over the last days.'}]",

6
tests/plugins/test_pairlocks.py
View File

@@ -73,9 +73,13 @@ def test_PairLocks(use_db):
assert PairLocks.is_pair_locked('XRP/USDT', lock_time + timedelta(minutes=-50))
if use_db:
assert len(PairLock.query.all()) > 0
locks = PairLocks.get_all_locks()
locks_db = PairLock.query.all()
assert len(locks) == len(locks_db)
assert len(locks_db) > 0
else:
# Nothing was pushed to the database
assert len(PairLocks.get_all_locks()) > 0
assert len(PairLock.query.all()) == 0
# Reset use-db variable
PairLocks.reset_locks()

50
tests/plugins/test_protections.py
View File

@@ -4,9 +4,9 @@ from datetime import datetime, timedelta
import pytest
from freqtrade import constants
from freqtrade.enums import SellType
from freqtrade.persistence import PairLocks, Trade
from freqtrade.plugins.protectionmanager import ProtectionManager
from freqtrade.strategy.interface import SellType
from tests.conftest import get_patched_freqtradebot, log_has_re
@@ -27,7 +27,7 @@ def generate_mock_trade(pair: str, fee: float, is_open: bool,
open_rate=open_rate,
is_open=is_open,
amount=0.01 / open_rate,
exchange='bittrex',
exchange='binance',
)
trade.recalc_open_trade_value()
if not is_open:
@@ -83,7 +83,7 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
"method": "StoplossGuard",
"lookback_period": 60,
"stop_duration": 40,
"trade_limit": 2
"trade_limit": 3
}]
freqtrade = get_patched_freqtradebot(mocker, default_conf)
message = r"Trading stopped due to .*"
@@ -91,7 +91,7 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30,
))
@@ -100,12 +100,12 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
caplog.clear()
# This trade does not count, as it's closed too long ago
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'BCH/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100,
))
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30,
))
@@ -114,7 +114,7 @@ def test_stoploss_guard(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'LTC/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30,
))
@@ -136,7 +136,7 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
default_conf['protections'] = [{
"method": "StoplossGuard",
"lookback_period": 60,
"trade_limit": 1,
"trade_limit": 2,
"stop_duration": 60,
"only_per_pair": only_per_pair
}]
@@ -148,7 +148,7 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
assert not log_has_re(message, caplog)
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30, profit_rate=0.9,
))
@@ -158,12 +158,12 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
assert not log_has_re(message, caplog)
caplog.clear()
# This trade does not count, as it's closed too long ago
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=250, min_ago_close=100, profit_rate=0.9,
))
# Trade does not count for per pair stop as it's the wrong pair.
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=240, min_ago_close=30, profit_rate=0.9,
))
@@ -178,7 +178,7 @@ def test_stoploss_guard_perpair(mocker, default_conf, fee, caplog, only_per_pair
caplog.clear()
# 2nd Trade that counts with correct pair
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
pair, fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=180, min_ago_close=30, profit_rate=0.9,
))
@@ -203,7 +203,7 @@ def test_CooldownPeriod(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=30,
))
@@ -213,7 +213,7 @@ def test_CooldownPeriod(mocker, default_conf, fee, caplog):
assert PairLocks.is_pair_locked('XRP/BTC')
assert not PairLocks.is_global_lock()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=SellType.ROI.value,
min_ago_open=205, min_ago_close=35,
))
@@ -242,7 +242,7 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=800, min_ago_close=450, profit_rate=0.9,
))
@@ -253,7 +253,7 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
assert not PairLocks.is_pair_locked('XRP/BTC')
assert not PairLocks.is_global_lock()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=200, min_ago_close=120, profit_rate=0.9,
))
@@ -265,14 +265,14 @@ def test_LowProfitPairs(mocker, default_conf, fee, caplog):
assert not PairLocks.is_global_lock()
# Add positive trade
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.ROI.value,
min_ago_open=20, min_ago_close=10, profit_rate=1.15,
))
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
assert not PairLocks.is_pair_locked('XRP/BTC')
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=110, min_ago_close=20, profit_rate=0.8,
))
@@ -300,15 +300,15 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
caplog.clear()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'ETH/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'NEO/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=1000, min_ago_close=900, profit_rate=1.1,
))
@@ -316,7 +316,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not freqtrade.protections.global_stop()
assert not freqtrade.protections.stop_per_pair('XRP/BTC')
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=500, min_ago_close=400, profit_rate=0.9,
))
@@ -326,7 +326,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not PairLocks.is_pair_locked('XRP/BTC')
assert not PairLocks.is_global_lock()
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.STOP_LOSS.value,
min_ago_open=1200, min_ago_close=1100, profit_rate=0.5,
))
@@ -339,7 +339,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
assert not log_has_re(message, caplog)
# Winning trade ... (should not lock, does not change drawdown!)
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.ROI.value,
min_ago_open=320, min_ago_close=410, profit_rate=1.5,
))
@@ -349,7 +349,7 @@ def test_MaxDrawdown(mocker, default_conf, fee, caplog):
caplog.clear()
# Add additional negative trade, causing a loss of > 15%
Trade.session.add(generate_mock_trade(
Trade.query.session.add(generate_mock_trade(
'XRP/BTC', fee.return_value, False, sell_reason=SellType.ROI.value,
min_ago_open=20, min_ago_close=10, profit_rate=0.8,
))

107
tests/rpc/test_fiat_convert.py
View File

@@ -1,44 +1,16 @@
# pragma pylint: disable=missing-docstring, too-many-arguments, too-many-ancestors,
# pragma pylint: disable=protected-access, C0103
import time
import datetime
from unittest.mock import MagicMock
import pytest
from requests.exceptions import RequestException
from freqtrade.rpc.fiat_convert import CryptoFiat, CryptoToFiatConverter
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from tests.conftest import log_has, log_has_re
def test_pair_convertion_object():
pair_convertion = CryptoFiat(
crypto_symbol='btc',
fiat_symbol='usd',
price=12345.0
)
# Check the cache duration is 6 hours
assert pair_convertion.CACHE_DURATION == 6 * 60 * 60
# Check a regular usage
assert pair_convertion.crypto_symbol == 'btc'
assert pair_convertion.fiat_symbol == 'usd'
assert pair_convertion.price == 12345.0
assert pair_convertion.is_expired() is False
# Update the expiration time (- 2 hours) and check the behavior
pair_convertion._expiration = time.time() - 2 * 60 * 60
assert pair_convertion.is_expired() is True
# Check set price behaviour
time_reference = time.time() + pair_convertion.CACHE_DURATION
pair_convertion.set_price(price=30000.123)
assert pair_convertion.is_expired() is False
assert pair_convertion._expiration >= time_reference
assert pair_convertion.price == 30000.123
def test_fiat_convert_is_supported(mocker):
fiat_convert = CryptoToFiatConverter()
assert fiat_convert._is_supported_fiat(fiat='USD') is True
@@ -47,31 +19,15 @@ def test_fiat_convert_is_supported(mocker):
assert fiat_convert._is_supported_fiat(fiat='ABC') is False
def test_fiat_convert_add_pair(mocker):
fiat_convert = CryptoToFiatConverter()
pair_len = len(fiat_convert._pairs)
assert pair_len == 0
fiat_convert._add_pair(crypto_symbol='btc', fiat_symbol='usd', price=12345.0)
pair_len = len(fiat_convert._pairs)
assert pair_len == 1
assert fiat_convert._pairs[0].crypto_symbol == 'btc'
assert fiat_convert._pairs[0].fiat_symbol == 'usd'
assert fiat_convert._pairs[0].price == 12345.0
fiat_convert._add_pair(crypto_symbol='btc', fiat_symbol='Eur', price=13000.2)
pair_len = len(fiat_convert._pairs)
assert pair_len == 2
assert fiat_convert._pairs[1].crypto_symbol == 'btc'
assert fiat_convert._pairs[1].fiat_symbol == 'eur'
assert fiat_convert._pairs[1].price == 13000.2
def test_fiat_convert_find_price(mocker):
fiat_convert = CryptoToFiatConverter()
fiat_convert._cryptomap = {}
fiat_convert._backoff = 0
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._load_cryptomap',
return_value=None)
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='EUR') == 0.0
with pytest.raises(ValueError, match=r'The fiat ABC is not supported.'):
fiat_convert._find_price(crypto_symbol='BTC', fiat_symbol='ABC')
@@ -95,8 +51,8 @@ def test_fiat_convert_unsupported_crypto(mocker, caplog):
def test_fiat_convert_get_price(mocker):
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=28000.0)
find_price = mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
return_value=28000.0)
fiat_convert = CryptoToFiatConverter()
@@ -104,26 +60,17 @@ def test_fiat_convert_get_price(mocker):
fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='US Dollar')
# Check the value return by the method
pair_len = len(fiat_convert._pairs)
pair_len = len(fiat_convert._pair_price)
assert pair_len == 0
assert fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='usd') == 28000.0
assert fiat_convert._pairs[0].crypto_symbol == 'btc'
assert fiat_convert._pairs[0].fiat_symbol == 'usd'
assert fiat_convert._pairs[0].price == 28000.0
assert fiat_convert._pairs[0]._expiration != 0
assert len(fiat_convert._pairs) == 1
assert fiat_convert._pair_price['btc/usd'] == 28000.0
assert len(fiat_convert._pair_price) == 1
assert find_price.call_count == 1
# Verify the cached is used
fiat_convert._pairs[0].price = 9867.543
expiration = fiat_convert._pairs[0]._expiration
fiat_convert._pair_price['btc/usd'] = 9867.543
assert fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='usd') == 9867.543
assert fiat_convert._pairs[0]._expiration == expiration
# Verify the cache expiration
expiration = time.time() - 2 * 60 * 60
fiat_convert._pairs[0]._expiration = expiration
assert fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='usd') == 28000.0
assert fiat_convert._pairs[0]._expiration is not expiration
assert find_price.call_count == 1
def test_fiat_convert_same_currencies(mocker):
@@ -175,6 +122,28 @@ def test_fiat_convert_without_network(mocker):
CryptoToFiatConverter._coingekko = cmc_temp
def test_fiat_too_many_requests_response(mocker, caplog):
# Because CryptoToFiatConverter is a Singleton we reset the listings
req_exception = "429 Too Many Requests"
listmock = MagicMock(return_value="{}", side_effect=RequestException(req_exception))
mocker.patch.multiple(
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
get_coins_list=listmock,
)
# with pytest.raises(RequestEsxception):
fiat_convert = CryptoToFiatConverter()
fiat_convert._cryptomap = {}
fiat_convert._load_cryptomap()
length_cryptomap = len(fiat_convert._cryptomap)
assert length_cryptomap == 0
assert fiat_convert._backoff > datetime.datetime.now().timestamp()
assert log_has(
'Too many requests for Coingecko API, backing off and trying again later.',
caplog
)
def test_fiat_invalid_response(mocker, caplog):
# Because CryptoToFiatConverter is a Singleton we reset the listings
listmock = MagicMock(return_value="{'novalidjson':DEADBEEFf}")

62
tests/rpc/test_rpc.py
View File

@@ -1,18 +1,19 @@
# pragma pylint: disable=missing-docstring, C0103
# pragma pylint: disable=invalid-sequence-index, invalid-name, too-many-arguments
from datetime import datetime
from datetime import datetime, timedelta, timezone
from unittest.mock import ANY, MagicMock, PropertyMock
import pytest
from numpy import isnan
from freqtrade.edge import PairInfo
from freqtrade.enums import State
from freqtrade.exceptions import ExchangeError, InvalidOrderException, TemporaryError
from freqtrade.persistence import Trade
from freqtrade.persistence.pairlock_middleware import PairLocks
from freqtrade.rpc import RPC, RPCException
from freqtrade.rpc.fiat_convert import CryptoToFiatConverter
from freqtrade.state import State
from tests.conftest import create_mock_trades, get_patched_freqtradebot, patch_get_signal
@@ -52,7 +53,6 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': ANY,
'open_date_hum': ANY,
'open_timestamp': ANY,
'is_open': ANY,
'fee_open': ANY,
@@ -72,7 +72,6 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'timeframe': 5,
'open_order_id': ANY,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'open_rate': 1.098e-05,
'close_rate': None,
@@ -91,6 +90,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'profit_ratio': -0.00408133,
'profit_pct': -0.41,
'profit_abs': -4.09e-06,
'profit_fiat': ANY,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
@@ -106,10 +106,10 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'open_order': None,
'exchange': 'bittrex',
'exchange': 'binance',
}
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
mocker.patch('freqtrade.exchange.Exchange.get_sell_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
results = rpc._rpc_trade_status()
assert isnan(results[0]['current_profit'])
@@ -119,7 +119,6 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': ANY,
'open_date_hum': ANY,
'open_timestamp': ANY,
'is_open': ANY,
'fee_open': ANY,
@@ -139,7 +138,6 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'timeframe': ANY,
'open_order_id': ANY,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'open_rate': 1.098e-05,
'close_rate': None,
@@ -158,6 +156,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'profit_ratio': ANY,
'profit_pct': ANY,
'profit_abs': ANY,
'profit_fiat': ANY,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
@@ -173,7 +172,7 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'open_order': None,
'exchange': 'bittrex',
'exchange': 'binance',
}
@@ -200,28 +199,31 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
freqtradebot.enter_positions()
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert "Since" in headers
assert "Pair" in headers
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
assert '-0.41%' == result[0][3]
assert isnan(fiat_profit_sum)
# Test with fiatconvert
rpc._fiat_converter = CryptoToFiatConverter()
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert "Since" in headers
assert "Pair" in headers
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
assert '-0.41% (-0.06)' == result[0][3]
assert '-0.06' == f'{fiat_profit_sum:.2f}'
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
mocker.patch('freqtrade.exchange.Exchange.get_sell_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
result, headers, fiat_profit_sum = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
assert 'instantly' == result[0][2]
assert 'ETH/BTC' in result[0][1]
assert 'nan%' == result[0][3]
assert isnan(fiat_profit_sum)
def test_rpc_daily_profit(default_conf, update, ticker, fee,
@@ -412,26 +414,26 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 6.217e-05)
assert prec_satoshi(stats['profit_closed_percent'], 6.2)
assert prec_satoshi(stats['profit_closed_percent_mean'], 6.2)
assert prec_satoshi(stats['profit_closed_fiat'], 0.93255)
assert prec_satoshi(stats['profit_all_coin'], 5.802e-05)
assert prec_satoshi(stats['profit_all_percent'], 2.89)
assert prec_satoshi(stats['profit_all_percent_mean'], 2.89)
assert prec_satoshi(stats['profit_all_fiat'], 0.8703)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] == '0:00:00'
assert stats['avg_duration'] in ('0:00:00', '0:00:01')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
# Test non-available pair
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
mocker.patch('freqtrade.exchange.Exchange.get_sell_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert stats['trade_count'] == 2
assert stats['first_trade_date'] == 'just now'
assert stats['latest_trade_date'] == 'just now'
assert stats['avg_duration'] == '0:00:00'
assert stats['avg_duration'] in ('0:00:00', '0:00:01')
assert stats['best_pair'] == 'ETH/BTC'
assert prec_satoshi(stats['best_rate'], 6.2)
assert isnan(stats['profit_all_coin'])
@@ -481,10 +483,10 @@ def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
assert prec_satoshi(stats['profit_closed_coin'], 0)
assert prec_satoshi(stats['profit_closed_percent'], 0)
assert prec_satoshi(stats['profit_closed_percent_mean'], 0)
assert prec_satoshi(stats['profit_closed_fiat'], 0)
assert prec_satoshi(stats['profit_all_coin'], 0)
assert prec_satoshi(stats['profit_all_percent'], 0)
assert prec_satoshi(stats['profit_all_percent_mean'], 0)
assert prec_satoshi(stats['profit_all_fiat'], 0)
assert stats['trade_count'] == 1
assert stats['first_trade_date'] == 'just now'
@@ -570,6 +572,8 @@ def test_rpc_balance_handle(default_conf, mocker, tickers):
result = rpc._rpc_balance(default_conf['stake_currency'], default_conf['fiat_display_currency'])
assert prec_satoshi(result['total'], 12.309096315)
assert prec_satoshi(result['value'], 184636.44472997)
assert tickers.call_count == 1
assert tickers.call_args_list[0][1]['cached'] is True
assert 'USD' == result['symbol']
assert result['currencies'] == [
{'currency': 'BTC',
@@ -911,6 +915,24 @@ def test_rpcforcebuy_disabled(mocker, default_conf) -> None:
rpc._rpc_forcebuy(pair, None)
@pytest.mark.usefixtures("init_persistence")
def test_rpc_delete_lock(mocker, default_conf):
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc = RPC(freqtradebot)
pair = 'ETH/BTC'
PairLocks.lock_pair(pair, datetime.now(timezone.utc) + timedelta(minutes=4))
PairLocks.lock_pair(pair, datetime.now(timezone.utc) + timedelta(minutes=5))
PairLocks.lock_pair(pair, datetime.now(timezone.utc) + timedelta(minutes=10))
locks = rpc._rpc_locks()
assert locks['lock_count'] == 3
locks1 = rpc._rpc_delete_lock(lockid=locks['locks'][0]['id'])
assert locks1['lock_count'] == 2
locks2 = rpc._rpc_delete_lock(pair=pair)
assert locks2['lock_count'] == 0
def test_rpc_whitelist(mocker, default_conf) -> None:
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())

269
tests/rpc/test_rpc_apiserver.py
View File

@@ -11,18 +11,20 @@ import uvicorn
from fastapi import FastAPI
from fastapi.exceptions import HTTPException
from fastapi.testclient import TestClient
from numpy import isnan
from requests.auth import _basic_auth_str
from freqtrade.__init__ import __version__
from freqtrade.enums import RunMode, State
from freqtrade.exceptions import ExchangeError
from freqtrade.loggers import setup_logging, setup_logging_pre
from freqtrade.persistence import PairLocks, Trade
from freqtrade.rpc import RPC
from freqtrade.rpc.api_server import ApiServer
from freqtrade.rpc.api_server.api_auth import create_token, get_user_from_token
from freqtrade.rpc.api_server.uvicorn_threaded import UvicornServer
from freqtrade.state import RunMode, State
from tests.conftest import (create_mock_trades, get_patched_freqtradebot, log_has, log_has_re,
patch_get_signal)
from tests.conftest import (create_mock_trades, get_mock_coro, get_patched_freqtradebot, log_has,
log_has_re, patch_get_signal)
BASE_URI = "/api/v1"
@@ -228,7 +230,7 @@ def test_api__init__(default_conf, mocker):
assert apiserver._config == default_conf
def test_api_UvicornServer(default_conf, mocker):
def test_api_UvicornServer(mocker):
thread_mock = mocker.patch('freqtrade.rpc.api_server.uvicorn_threaded.threading.Thread')
s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
assert thread_mock.call_count == 0
@@ -246,6 +248,38 @@ def test_api_UvicornServer(default_conf, mocker):
assert s.should_exit is True
def test_api_UvicornServer_run(mocker):
serve_mock = mocker.patch('freqtrade.rpc.api_server.uvicorn_threaded.UvicornServer.serve',
get_mock_coro(None))
s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
assert serve_mock.call_count == 0
s.install_signal_handlers()
# Original implementation starts a thread - make sure that's not the case
assert serve_mock.call_count == 0
# Fake started to avoid sleeping forever
s.started = True
s.run()
assert serve_mock.call_count == 1
def test_api_UvicornServer_run_no_uvloop(mocker, import_fails):
serve_mock = mocker.patch('freqtrade.rpc.api_server.uvicorn_threaded.UvicornServer.serve',
get_mock_coro(None))
s = UvicornServer(uvicorn.Config(MagicMock(), port=8080, host='127.0.0.1'))
assert serve_mock.call_count == 0
s.install_signal_handlers()
# Original implementation starts a thread - make sure that's not the case
assert serve_mock.call_count == 0
# Fake started to avoid sleeping forever
s.started = True
s.run()
assert serve_mock.call_count == 1
def test_api_run(default_conf, mocker, caplog):
default_conf.update({"api_server": {"enabled": True,
"listen_ip_address": "127.0.0.1",
@@ -295,7 +329,7 @@ def test_api_run(default_conf, mocker, caplog):
"Please make sure that this is intentional!", caplog)
assert log_has_re("SECURITY WARNING - `jwt_secret_key` seems to be default.*", caplog)
# Test crashing flask
# Test crashing API server
caplog.clear()
mocker.patch('freqtrade.rpc.api_server.webserver.UvicornServer',
MagicMock(side_effect=Exception))
@@ -382,10 +416,10 @@ def test_api_count(botclient, mocker, ticker, fee, markets):
assert rc.json()["max"] == 1
# Create some test data
ftbot.enter_positions()
create_mock_trades(fee)
rc = client_get(client, f"{BASE_URI}/count")
assert_response(rc)
assert rc.json()["current"] == 1
assert rc.json()["current"] == 4
assert rc.json()["max"] == 1
ftbot.config['max_open_trades'] = float('inf')
@@ -416,6 +450,16 @@ def test_api_locks(botclient):
assert 'randreason' in (rc.json()['locks'][0]['reason'], rc.json()['locks'][1]['reason'])
assert 'deadbeef' in (rc.json()['locks'][0]['reason'], rc.json()['locks'][1]['reason'])
# Test deletions
rc = client_delete(client, f"{BASE_URI}/locks/1")
assert_response(rc)
assert rc.json()['lock_count'] == 1
rc = client_post(client, f"{BASE_URI}/locks/delete",
data='{"pair": "XRP/BTC"}')
assert_response(rc)
assert rc.json()['lock_count'] == 0
def test_api_show_config(botclient, mocker):
ftbot, client = botclient
@@ -424,7 +468,7 @@ def test_api_show_config(botclient, mocker):
rc = client_get(client, f"{BASE_URI}/show_config")
assert_response(rc)
assert 'dry_run' in rc.json()
assert rc.json()['exchange'] == 'bittrex'
assert rc.json()['exchange'] == 'binance'
assert rc.json()['timeframe'] == '5m'
assert rc.json()['timeframe_ms'] == 300000
assert rc.json()['timeframe_min'] == 5
@@ -462,20 +506,43 @@ def test_api_trades(botclient, mocker, fee, markets):
)
rc = client_get(client, f"{BASE_URI}/trades")
assert_response(rc)
assert len(rc.json()) == 2
assert len(rc.json()) == 3
assert rc.json()['trades_count'] == 0
assert rc.json()['total_trades'] == 0
create_mock_trades(fee)
Trade.session.flush()
Trade.query.session.flush()
rc = client_get(client, f"{BASE_URI}/trades")
assert_response(rc)
assert len(rc.json()['trades']) == 2
assert rc.json()['trades_count'] == 2
assert rc.json()['total_trades'] == 2
rc = client_get(client, f"{BASE_URI}/trades?limit=1")
assert_response(rc)
assert len(rc.json()['trades']) == 1
assert rc.json()['trades_count'] == 1
assert rc.json()['total_trades'] == 2
def test_api_trade_single(botclient, mocker, fee, ticker, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
markets=PropertyMock(return_value=markets),
fetch_ticker=ticker,
)
rc = client_get(client, f"{BASE_URI}/trade/3")
assert_response(rc, 404)
assert rc.json()['detail'] == 'Trade not found.'
create_mock_trades(fee)
Trade.query.session.flush()
rc = client_get(client, f"{BASE_URI}/trade/3")
assert_response(rc)
assert rc.json()['trade_id'] == 3
def test_api_delete_trade(botclient, mocker, fee, markets):
@@ -494,7 +561,7 @@ def test_api_delete_trade(botclient, mocker, fee, markets):
assert_response(rc, 502)
create_mock_trades(fee)
Trade.session.flush()
Trade.query.session.flush()
ftbot.strategy.order_types['stoploss_on_exchange'] = True
trades = Trade.query.all()
trades[1].stoploss_order_id = '1234'
@@ -568,7 +635,7 @@ def test_api_edge_disabled(botclient, mocker, ticker, fee, markets):
@pytest.mark.usefixtures("init_persistence")
def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, limit_sell_order):
def test_api_profit(botclient, mocker, ticker, fee, markets):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
mocker.patch.multiple(
@@ -583,50 +650,33 @@ def test_api_profit(botclient, mocker, ticker, fee, markets, limit_buy_order, li
assert_response(rc, 200)
assert rc.json()['trade_count'] == 0
ftbot.enter_positions()
trade = Trade.query.first()
create_mock_trades(fee)
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
rc = client_get(client, f"{BASE_URI}/profit")
assert_response(rc, 200)
# One open trade
assert rc.json()['trade_count'] == 1
assert rc.json()['best_pair'] == ''
assert rc.json()['best_rate'] == 0
trade = Trade.query.first()
trade.update(limit_sell_order)
trade.close_date = datetime.utcnow()
trade.is_open = False
rc = client_get(client, f"{BASE_URI}/profit")
assert_response(rc)
assert rc.json() == {'avg_duration': ANY,
'best_pair': 'ETH/BTC',
'best_rate': 6.2,
'first_trade_date': 'just now',
'best_pair': 'XRP/BTC',
'best_rate': 1.0,
'first_trade_date': ANY,
'first_trade_timestamp': ANY,
'latest_trade_date': 'just now',
'latest_trade_date': '5 minutes ago',
'latest_trade_timestamp': ANY,
'profit_all_coin': 6.217e-05,
'profit_all_fiat': 0.76748865,
'profit_all_percent': 6.2,
'profit_all_percent_mean': 6.2,
'profit_all_ratio_mean': 0.06201058,
'profit_all_percent_sum': 6.2,
'profit_all_ratio_sum': 0.06201058,
'profit_closed_coin': 6.217e-05,
'profit_closed_fiat': 0.76748865,
'profit_closed_percent': 6.2,
'profit_closed_ratio_mean': 0.06201058,
'profit_closed_percent_mean': 6.2,
'profit_closed_ratio_sum': 0.06201058,
'profit_closed_percent_sum': 6.2,
'trade_count': 1,
'closed_trade_count': 1,
'winning_trades': 1,
'profit_all_coin': -44.0631579,
'profit_all_fiat': -543959.6842755,
'profit_all_percent_mean': -66.41,
'profit_all_ratio_mean': -0.6641100666666667,
'profit_all_percent_sum': -398.47,
'profit_all_ratio_sum': -3.9846604,
'profit_closed_coin': 0.00073913,
'profit_closed_fiat': 9.124559849999999,
'profit_closed_ratio_mean': 0.0075,
'profit_closed_percent_mean': 0.75,
'profit_closed_ratio_sum': 0.015,
'profit_closed_percent_sum': 1.5,
'trade_count': 6,
'closed_trade_count': 2,
'winning_trades': 2,
'losing_trades': 0,
}
@@ -660,7 +710,7 @@ def test_api_stats(botclient, mocker, ticker, fee, markets,):
assert 'draws' in rc.json()['durations']
def test_api_performance(botclient, mocker, ticker, fee):
def test_api_performance(botclient, fee):
ftbot, client = botclient
patch_get_signal(ftbot, (True, False))
@@ -678,7 +728,8 @@ def test_api_performance(botclient, mocker, ticker, fee):
)
trade.close_profit = trade.calc_profit_ratio()
Trade.session.add(trade)
trade.close_profit_abs = trade.calc_profit()
Trade.query.session.add(trade)
trade = Trade(
pair='XRP/ETH',
@@ -693,14 +744,16 @@ def test_api_performance(botclient, mocker, ticker, fee):
close_rate=0.391
)
trade.close_profit = trade.calc_profit_ratio()
Trade.session.add(trade)
Trade.session.flush()
trade.close_profit_abs = trade.calc_profit()
Trade.query.session.add(trade)
Trade.query.session.flush()
rc = client_get(client, f"{BASE_URI}/performance")
assert_response(rc)
assert len(rc.json()) == 2
assert rc.json() == [{'count': 1, 'pair': 'LTC/ETH', 'profit': 7.61},
{'count': 1, 'pair': 'XRP/ETH', 'profit': -5.57}]
assert rc.json() == [{'count': 1, 'pair': 'LTC/ETH', 'profit': 7.61, 'profit_abs': 0.01872279},
{'count': 1, 'pair': 'XRP/ETH', 'profit': -5.57, 'profit_abs': -0.1150375}]
def test_api_status(botclient, mocker, ticker, fee, markets):
@@ -711,83 +764,84 @@ def test_api_status(botclient, mocker, ticker, fee, markets):
get_balances=MagicMock(return_value=ticker),
fetch_ticker=ticker,
get_fee=fee,
markets=PropertyMock(return_value=markets)
markets=PropertyMock(return_value=markets),
fetch_order=MagicMock(return_value={}),
)
rc = client_get(client, f"{BASE_URI}/status")
assert_response(rc, 200)
assert rc.json() == []
ftbot.enter_positions()
trades = Trade.get_open_trades()
trades[0].open_order_id = None
ftbot.exit_positions(trades)
Trade.session.flush()
create_mock_trades(fee)
rc = client_get(client, f"{BASE_URI}/status")
assert_response(rc)
assert len(rc.json()) == 1
assert rc.json() == [{
'amount': 91.07468123,
'amount_requested': 91.07468123,
'base_currency': 'BTC',
assert len(rc.json()) == 4
assert rc.json()[0] == {
'amount': 123.0,
'amount_requested': 123.0,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'close_profit': None,
'close_profit_pct': None,
'close_profit_abs': None,
'close_rate': None,
'current_profit': -0.00408133,
'current_profit_pct': -0.41,
'current_profit_abs': -4.09e-06,
'profit_ratio': -0.00408133,
'profit_pct': -0.41,
'profit_abs': -4.09e-06,
'current_profit': ANY,
'current_profit_pct': ANY,
'current_profit_abs': ANY,
'profit_ratio': ANY,
'profit_pct': ANY,
'profit_abs': ANY,
'profit_fiat': ANY,
'current_rate': 1.099e-05,
'open_date': ANY,
'open_date_hum': 'just now',
'open_timestamp': ANY,
'open_order': None,
'open_rate': 1.098e-05,
'open_rate': 0.123,
'pair': 'ETH/BTC',
'stake_amount': 0.001,
'stop_loss_abs': 9.882e-06,
'stop_loss_pct': -10.0,
'stop_loss_ratio': -0.1,
'stop_loss_abs': ANY,
'stop_loss_pct': ANY,
'stop_loss_ratio': ANY,
'stoploss_order_id': None,
'stoploss_last_update': ANY,
'stoploss_last_update_timestamp': ANY,
'initial_stop_loss_abs': 9.882e-06,
'initial_stop_loss_pct': -10.0,
'initial_stop_loss_ratio': -0.1,
'stoploss_current_dist': -1.1080000000000002e-06,
'stoploss_current_dist_ratio': -0.10081893,
'stoploss_current_dist_pct': -10.08,
'stoploss_entry_dist': -0.00010475,
'stoploss_entry_dist_ratio': -0.10448878,
'initial_stop_loss_abs': 0.0,
'initial_stop_loss_pct': ANY,
'initial_stop_loss_ratio': ANY,
'stoploss_current_dist': ANY,
'stoploss_current_dist_ratio': ANY,
'stoploss_current_dist_pct': ANY,
'stoploss_entry_dist': ANY,
'stoploss_entry_dist_ratio': ANY,
'trade_id': 1,
'close_rate_requested': None,
'current_rate': 1.099e-05,
'close_rate_requested': ANY,
'fee_close': 0.0025,
'fee_close_cost': None,
'fee_close_currency': None,
'fee_open': 0.0025,
'fee_open_cost': None,
'fee_open_currency': None,
'open_date': ANY,
'is_open': True,
'max_rate': 1.099e-05,
'min_rate': 1.098e-05,
'open_order_id': None,
'open_rate_requested': 1.098e-05,
'open_trade_value': 0.0010025,
'max_rate': ANY,
'min_rate': ANY,
'open_order_id': 'dry_run_buy_12345',
'open_rate_requested': ANY,
'open_trade_value': 15.1668225,
'sell_reason': None,
'sell_order_status': None,
'strategy': 'DefaultStrategy',
'timeframe': 5,
'exchange': 'bittrex',
}]
'exchange': 'binance',
}
mocker.patch('freqtrade.exchange.Exchange.get_sell_rate',
MagicMock(side_effect=ExchangeError("Pair 'ETH/BTC' not available")))
rc = client_get(client, f"{BASE_URI}/status")
assert_response(rc)
resp_values = rc.json()
assert len(resp_values) == 4
assert isnan(resp_values[0]['profit_abs'])
def test_api_version(botclient):
@@ -868,7 +922,7 @@ def test_api_forcebuy(botclient, mocker, fee):
pair='ETH/ETH',
amount=1,
amount_requested=1,
exchange='bittrex',
exchange='binance',
stake_amount=1,
open_rate=0.245441,
open_order_id="123456",
@@ -891,11 +945,9 @@ def test_api_forcebuy(botclient, mocker, fee):
'amount_requested': 1,
'trade_id': 22,
'close_date': None,
'close_date_hum': None,
'close_timestamp': None,
'close_rate': 0.265441,
'open_date': ANY,
'open_date_hum': 'just now',
'open_timestamp': ANY,
'open_rate': 0.245441,
'pair': 'ETH/ETH',
@@ -916,6 +968,7 @@ def test_api_forcebuy(botclient, mocker, fee):
'profit_ratio': None,
'profit_pct': None,
'profit_abs': None,
'profit_fiat': None,
'fee_close': 0.0025,
'fee_close_cost': None,
'fee_close_currency': None,
@@ -932,7 +985,7 @@ def test_api_forcebuy(botclient, mocker, fee):
'sell_order_status': None,
'strategy': 'DefaultStrategy',
'timeframe': 5,
'exchange': 'bittrex',
'exchange': 'binance',
}
@@ -1092,6 +1145,14 @@ def test_api_plot_config(botclient):
assert_response(rc)
assert rc.json() == ftbot.strategy.plot_config
assert isinstance(rc.json()['main_plot'], dict)
assert isinstance(rc.json()['subplots'], dict)
ftbot.strategy.plot_config = {'main_plot': {'sma': {}}}
rc = client_get(client, f"{BASE_URI}/plot_config")
assert_response(rc)
assert isinstance(rc.json()['main_plot'], dict)
assert isinstance(rc.json()['subplots'], dict)
def test_api_strategies(botclient):
@@ -1100,7 +1161,11 @@ def test_api_strategies(botclient):
rc = client_get(client, f"{BASE_URI}/strategies")
assert_response(rc)
assert rc.json() == {'strategies': ['DefaultStrategy', 'TestStrategyLegacy']}
assert rc.json() == {'strategies': [
'DefaultStrategy',
'HyperoptableStrategy',
'TestStrategyLegacy'
]}
def test_api_strategy(botclient):

11
tests/rpc/test_rpc_manager.py
View File

@@ -3,7 +3,8 @@ import logging
import time
from unittest.mock import MagicMock
from freqtrade.rpc import RPCManager, RPCMessageType
from freqtrade.enums import RPCMessageType
from freqtrade.rpc import RPCManager
from tests.conftest import get_patched_freqtradebot, log_has
@@ -71,7 +72,7 @@ def test_send_msg_telegram_disabled(mocker, default_conf, caplog) -> None:
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc_manager = RPCManager(freqtradebot)
rpc_manager.send_msg({
'type': RPCMessageType.STATUS_NOTIFICATION,
'type': RPCMessageType.STATUS,
'status': 'test'
})
@@ -86,7 +87,7 @@ def test_send_msg_telegram_enabled(mocker, default_conf, caplog) -> None:
freqtradebot = get_patched_freqtradebot(mocker, default_conf)
rpc_manager = RPCManager(freqtradebot)
rpc_manager.send_msg({
'type': RPCMessageType.STATUS_NOTIFICATION,
'type': RPCMessageType.STATUS,
'status': 'test'
})
@@ -124,7 +125,7 @@ def test_send_msg_webhook_CustomMessagetype(mocker, default_conf, caplog) -> Non
rpc_manager = RPCManager(get_patched_freqtradebot(mocker, default_conf))
assert 'webhook' in [mod.name for mod in rpc_manager.registered_modules]
rpc_manager.send_msg({'type': RPCMessageType.STARTUP_NOTIFICATION,
rpc_manager.send_msg({'type': RPCMessageType.STARTUP,
'status': 'TestMessage'})
assert log_has(
"Message type 'startup' not implemented by handler webhook.",
@@ -140,7 +141,7 @@ def test_startupmessages_telegram_enabled(mocker, default_conf, caplog) -> None:
rpc_manager.startup_messages(default_conf, freqtradebot.pairlists, freqtradebot.protections)
assert telegram_mock.call_count == 3
assert "*Exchange:* `bittrex`" in telegram_mock.call_args_list[1][0][0]['status']
assert "*Exchange:* `binance`" in telegram_mock.call_args_list[1][0][0]['status']
telegram_mock.reset_mock()
default_conf['dry_run'] = True

242
tests/rpc/test_rpc_telegram.py
View File

@@ -4,6 +4,7 @@
import re
from datetime import datetime
from functools import reduce
from random import choice, randint
from string import ascii_uppercase
from unittest.mock import ANY, MagicMock
@@ -16,14 +17,13 @@ from telegram.error import NetworkError
from freqtrade import __version__
from freqtrade.constants import CANCEL_REASON
from freqtrade.edge import PairInfo
from freqtrade.enums import RPCMessageType, RunMode, SellType, State
from freqtrade.exceptions import OperationalException
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.loggers import setup_logging
from freqtrade.persistence import PairLocks, Trade
from freqtrade.rpc import RPC, RPCMessageType
from freqtrade.rpc import RPC
from freqtrade.rpc.telegram import Telegram, authorized_only
from freqtrade.state import RunMode, State
from freqtrade.strategy.interface import SellType
from tests.conftest import (create_mock_trades, get_patched_freqtradebot, log_has, patch_exchange,
patch_get_signal, patch_whitelist)
@@ -92,7 +92,8 @@ def test_telegram_init(default_conf, mocker, caplog) -> None:
message_str = ("rpc.telegram is listening for following commands: [['status'], ['profit'], "
"['balance'], ['start'], ['stop'], ['forcesell'], ['forcebuy'], ['trades'], "
"['delete'], ['performance'], ['stats'], ['daily'], ['count'], ['locks'], "
"['reload_config', 'reload_conf'], ['show_config', 'show_conf'], ['stopbuy'], "
"['unlock', 'delete_locks'], ['reload_config', 'reload_conf'], "
"['show_config', 'show_conf'], ['stopbuy'], "
"['whitelist'], ['blacklist'], ['logs'], ['edge'], ['help'], ['version']"
"]")
@@ -176,9 +177,7 @@ def test_telegram_status(default_conf, update, mocker) -> None:
'pair': 'ETH/BTC',
'base_currency': 'BTC',
'open_date': arrow.utcnow(),
'open_date_hum': arrow.utcnow().humanize,
'close_date': None,
'close_date_hum': None,
'open_rate': 1.099e-05,
'close_rate': None,
'current_rate': 1.098e-05,
@@ -443,8 +442,10 @@ def test_profit_handle(default_conf, update, ticker, ticker_sell_up, fee,
# Simulate fulfilled LIMIT_BUY order for trade
trade.update(limit_buy_order)
telegram._profit(update=update, context=MagicMock())
context = MagicMock()
# Test with invalid 2nd argument (should silently pass)
context.args = ["aaa"]
telegram._profit(update=update, context=context)
assert msg_mock.call_count == 1
assert 'No closed trade' in msg_mock.call_args_list[-1][0][0]
assert '*ROI:* All trades' in msg_mock.call_args_list[-1][0][0]
@@ -520,7 +521,7 @@ def test_telegram_balance_handle(default_conf, update, mocker, rpc_balance, tick
assert 'Balance:' in result
assert 'Est. BTC:' in result
assert 'BTC: 12.00000000' in result
assert '*XRP:* not showing <1$ amount' in result
assert '*XRP:* not showing <0.0001 BTC amount' in result
def test_balance_handle_empty_response(default_conf, update, mocker) -> None:
@@ -684,12 +685,12 @@ def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
context.args = ["1"]
telegram._forcesell(update=update, context=context)
assert msg_mock.call_count == 3
assert msg_mock.call_count == 4
last_msg = msg_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Bittrex',
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': 'profit',
'limit': 1.173e-05,
@@ -704,6 +705,7 @@ def test_telegram_forcesell_handle(default_conf, update, ticker, fee,
'sell_reason': SellType.FORCE_SELL.value,
'open_date': ANY,
'close_date': ANY,
'close_rate': ANY,
} == last_msg
@@ -744,13 +746,13 @@ def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
context.args = ["1"]
telegram._forcesell(update=update, context=context)
assert msg_mock.call_count == 3
assert msg_mock.call_count == 4
last_msg = msg_mock.call_args_list[-1][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Bittrex',
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.043e-05,
@@ -765,6 +767,7 @@ def test_telegram_forcesell_down_handle(default_conf, update, ticker, fee,
'sell_reason': SellType.FORCE_SELL.value,
'open_date': ANY,
'close_date': ANY,
'close_rate': ANY,
} == last_msg
@@ -795,13 +798,13 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
context.args = ["all"]
telegram._forcesell(update=update, context=context)
# Called for each trade 3 times
assert msg_mock.call_count == 8
msg = msg_mock.call_args_list[1][0][0]
# Called for each trade 4 times
assert msg_mock.call_count == 12
msg = msg_mock.call_args_list[2][0][0]
assert {
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Bittrex',
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': 'loss',
'limit': 1.099e-05,
@@ -816,6 +819,7 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
'sell_reason': SellType.FORCE_SELL.value,
'open_date': ANY,
'close_date': ANY,
'close_rate': ANY,
} == msg
@@ -900,6 +904,33 @@ def test_forcebuy_handle_exception(default_conf, update, mocker) -> None:
assert msg_mock.call_args_list[0][0][0] == 'Forcebuy not enabled.'
def test_forcebuy_no_pair(default_conf, update, mocker) -> None:
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
fbuy_mock = MagicMock(return_value=None)
mocker.patch('freqtrade.rpc.RPC._rpc_forcebuy', fbuy_mock)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot, (True, False))
context = MagicMock()
context.args = []
telegram._forcebuy(update=update, context=context)
assert fbuy_mock.call_count == 0
assert msg_mock.call_count == 1
assert msg_mock.call_args_list[0][1]['msg'] == 'Which pair?'
# assert msg_mock.call_args_list[0][1]['callback_query_handler'] == 'forcebuy'
keyboard = msg_mock.call_args_list[0][1]['keyboard']
assert reduce(lambda acc, x: acc + len(x), keyboard, 0) == 4
update = MagicMock()
update.callback_query = MagicMock()
update.callback_query.data = 'XRP/USDT'
telegram._forcebuy_inline(update, None)
assert fbuy_mock.call_count == 1
def test_performance_handle(default_conf, update, ticker, fee,
limit_buy_order, limit_sell_order, mocker) -> None:
@@ -927,7 +958,7 @@ def test_performance_handle(default_conf, update, ticker, fee,
telegram._performance(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'Performance' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t6.20% (1)</code>' in msg_mock.call_args_list[0][0][0]
assert '<code>ETH/BTC\t0.00006217 BTC (6.20%) (1)</code>' in msg_mock.call_args_list[0][0][0]
def test_count_handle(default_conf, update, ticker, fee, mocker) -> None:
@@ -967,6 +998,11 @@ def test_telegram_lock_handle(default_conf, update, ticker, fee, mocker) -> None
)
telegram, freqtradebot, msg_mock = get_telegram_testobject(mocker, default_conf)
patch_get_signal(freqtradebot, (True, False))
telegram._locks(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert 'No active locks.' in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
PairLocks.lock_pair('ETH/BTC', arrow.utcnow().shift(minutes=4).datetime, 'randreason')
PairLocks.lock_pair('XRP/BTC', arrow.utcnow().shift(minutes=20).datetime, 'deadbeef')
@@ -981,6 +1017,16 @@ def test_telegram_lock_handle(default_conf, update, ticker, fee, mocker) -> None
assert 'deadbeef' in msg_mock.call_args_list[0][0][0]
assert 'randreason' in msg_mock.call_args_list[0][0][0]
context = MagicMock()
context.args = ['XRP/BTC']
msg_mock.reset_mock()
telegram._delete_locks(update=update, context=context)
assert 'ETH/BTC' in msg_mock.call_args_list[0][0][0]
assert 'randreason' in msg_mock.call_args_list[0][0][0]
assert 'XRP/BTC' not in msg_mock.call_args_list[0][0][0]
assert 'deadbeef' not in msg_mock.call_args_list[0][0][0]
def test_whitelist_static(default_conf, update, mocker) -> None:
@@ -1090,6 +1136,15 @@ def test_edge_enabled(edge_conf, update, mocker) -> None:
assert '<b>Edge only validated following pairs:</b>\n<pre>' in msg_mock.call_args_list[0][0][0]
assert 'Pair Winrate Expectancy Stoploss' in msg_mock.call_args_list[0][0][0]
msg_mock.reset_mock()
mocker.patch('freqtrade.edge.Edge._cached_pairs', mocker.PropertyMock(
return_value={}))
telegram._edge(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert '<b>Edge only validated following pairs:</b>' in msg_mock.call_args_list[0][0][0]
assert 'Winrate' not in msg_mock.call_args_list[0][0][0]
def test_telegram_trades(mocker, update, default_conf, fee):
@@ -1117,8 +1172,10 @@ def test_telegram_trades(mocker, update, default_conf, fee):
msg_mock.call_count == 1
assert "2 recent trades</b>:" in msg_mock.call_args_list[0][0][0]
assert "Profit (" in msg_mock.call_args_list[0][0][0]
assert "Open Date" in msg_mock.call_args_list[0][0][0]
assert "Close Date" in msg_mock.call_args_list[0][0][0]
assert "<pre>" in msg_mock.call_args_list[0][0][0]
assert bool(re.search(r"just now[ ]*XRP\/BTC \(#3\) 1.00% \(",
msg_mock.call_args_list[0][0][0]))
def test_telegram_delete_trade(mocker, update, default_conf, fee):
@@ -1167,7 +1224,7 @@ def test_show_config_handle(default_conf, update, mocker) -> None:
telegram._show_config(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert '*Mode:* `{}`'.format('Dry-run') in msg_mock.call_args_list[0][0][0]
assert '*Exchange:* `bittrex`' in msg_mock.call_args_list[0][0][0]
assert '*Exchange:* `binance`' in msg_mock.call_args_list[0][0][0]
assert '*Strategy:* `DefaultStrategy`' in msg_mock.call_args_list[0][0][0]
assert '*Stoploss:* `-0.1`' in msg_mock.call_args_list[0][0][0]
@@ -1176,7 +1233,7 @@ def test_show_config_handle(default_conf, update, mocker) -> None:
telegram._show_config(update=update, context=MagicMock())
assert msg_mock.call_count == 1
assert '*Mode:* `{}`'.format('Dry-run') in msg_mock.call_args_list[0][0][0]
assert '*Exchange:* `bittrex`' in msg_mock.call_args_list[0][0][0]
assert '*Exchange:* `binance`' in msg_mock.call_args_list[0][0][0]
assert '*Strategy:* `DefaultStrategy`' in msg_mock.call_args_list[0][0][0]
assert '*Initial Stoploss:* `-0.1`' in msg_mock.call_args_list[0][0][0]
@@ -1184,8 +1241,9 @@ def test_show_config_handle(default_conf, update, mocker) -> None:
def test_send_msg_buy_notification(default_conf, mocker, caplog) -> None:
msg = {
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'limit': 1.099e-05,
'order_type': 'limit',
@@ -1201,7 +1259,7 @@ def test_send_msg_buy_notification(default_conf, mocker, caplog) -> None:
telegram.send_msg(msg)
assert msg_mock.call_args[0][0] \
== '\N{LARGE BLUE CIRCLE} *Bittrex:* Buying ETH/BTC\n' \
== '\N{LARGE BLUE CIRCLE} *Binance:* Buying ETH/BTC (#1)\n' \
'*Amount:* `1333.33333333`\n' \
'*Open Rate:* `0.00001099`\n' \
'*Current Rate:* `0.00001099`\n' \
@@ -1228,13 +1286,34 @@ def test_send_msg_buy_cancel_notification(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.BUY_CANCEL_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY_CANCEL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'reason': CANCEL_REASON['TIMEOUT']
})
assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Bittrex:* '
'Cancelling open buy Order for ETH/BTC. Reason: cancelled due to timeout.')
assert (msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Binance:* '
'Cancelling open buy Order for ETH/BTC (#1). '
'Reason: cancelled due to timeout.')
def test_send_msg_buy_fill_notification(default_conf, mocker) -> None:
default_conf['telegram']['notification_settings']['buy_fill'] = 'on'
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.BUY_FILL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/USDT',
'open_rate': 200,
'stake_amount': 100,
'amount': 0.5,
'open_date': arrow.utcnow().datetime
})
assert (msg_mock.call_args[0][0] == '\N{LARGE CIRCLE} *Binance:* '
'Buy order for ETH/USDT (#1) filled for 200.')
def test_send_msg_sell_notification(default_conf, mocker) -> None:
@@ -1244,7 +1323,8 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
old_convamount = telegram._rpc._fiat_converter.convert_amount
telegram._rpc._fiat_converter.convert_amount = lambda a, b, c: -24.812
telegram.send_msg({
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'KEY/ETH',
'gain': 'loss',
@@ -1262,18 +1342,20 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH (#1)\n'
'*Profit:* `-57.41% (loss: -0.05746268 ETH / -24.812 USD)`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `1:00:00 (60.0 min)`\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
'*Close Rate:* `0.00003201`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `1:00:00 (60.0 min)`\n'
'*Profit:* `-57.41%` `(loss: -0.05746268 ETH / -24.812 USD)`')
'*Close Rate:* `0.00003201`'
)
msg_mock.reset_mock()
telegram.send_msg({
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'KEY/ETH',
'gain': 'loss',
@@ -1290,14 +1372,15 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
== ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH (#1)\n'
'*Profit:* `-57.41%`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `1 day, 2:30:00 (1590.0 min)`\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
'*Close Rate:* `0.00003201`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `1 day, 2:30:00 (1590.0 min)`\n'
'*Profit:* `-57.41%`')
'*Close Rate:* `0.00003201`'
)
# Reset singleton function to avoid random breaks
telegram._rpc._fiat_converter.convert_amount = old_convamount
@@ -1309,33 +1392,65 @@ def test_send_msg_sell_cancel_notification(default_conf, mocker) -> None:
old_convamount = telegram._rpc._fiat_converter.convert_amount
telegram._rpc._fiat_converter.convert_amount = lambda a, b, c: -24.812
telegram.send_msg({
'type': RPCMessageType.SELL_CANCEL_NOTIFICATION,
'type': RPCMessageType.SELL_CANCEL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'KEY/ETH',
'reason': 'Cancelled on exchange'
})
assert msg_mock.call_args[0][0] \
== ('\N{WARNING SIGN} *Binance:* Cancelling Open Sell Order for KEY/ETH. '
'Reason: Cancelled on exchange')
== ('\N{WARNING SIGN} *Binance:* Cancelling open sell Order for KEY/ETH (#1).'
' Reason: Cancelled on exchange.')
msg_mock.reset_mock()
telegram.send_msg({
'type': RPCMessageType.SELL_CANCEL_NOTIFICATION,
'type': RPCMessageType.SELL_CANCEL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'KEY/ETH',
'reason': 'timeout'
})
assert msg_mock.call_args[0][0] \
== ('\N{WARNING SIGN} *Binance:* Cancelling Open Sell Order for KEY/ETH. Reason: timeout')
== ('\N{WARNING SIGN} *Binance:* Cancelling open sell Order for KEY/ETH (#1).'
' Reason: timeout.')
# Reset singleton function to avoid random breaks
telegram._rpc._fiat_converter.convert_amount = old_convamount
def test_send_msg_sell_fill_notification(default_conf, mocker) -> None:
default_conf['telegram']['notification_settings']['sell_fill'] = 'on'
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.SELL_FILL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/USDT',
'gain': 'loss',
'limit': 3.201e-05,
'amount': 0.1,
'order_type': 'market',
'open_rate': 500,
'close_rate': 550,
'current_rate': 3.201e-05,
'profit_amount': -0.05746268,
'profit_ratio': -0.57405275,
'stake_currency': 'ETH',
'fiat_currency': 'USD',
'sell_reason': SellType.STOP_LOSS.value,
'open_date': arrow.utcnow().shift(hours=-1),
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] \
== ('\N{LARGE CIRCLE} *Binance:* Sell order for ETH/USDT (#1) filled for 550.')
def test_send_msg_status_notification(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.STATUS_NOTIFICATION,
'type': RPCMessageType.STATUS,
'status': 'running'
})
assert msg_mock.call_args[0][0] == '*Status:* `running`'
@@ -1344,7 +1459,7 @@ def test_send_msg_status_notification(default_conf, mocker) -> None:
def test_warning_notification(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.WARNING_NOTIFICATION,
'type': RPCMessageType.WARNING,
'status': 'message'
})
assert msg_mock.call_args[0][0] == '\N{WARNING SIGN} *Warning:* `message`'
@@ -1353,7 +1468,7 @@ def test_warning_notification(default_conf, mocker) -> None:
def test_startup_notification(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.STARTUP_NOTIFICATION,
'type': RPCMessageType.STARTUP,
'status': '*Custom:* `Hello World`'
})
assert msg_mock.call_args[0][0] == '*Custom:* `Hello World`'
@@ -1372,8 +1487,9 @@ def test_send_msg_buy_notification_no_fiat(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'limit': 1.099e-05,
'order_type': 'limit',
@@ -1385,7 +1501,7 @@ def test_send_msg_buy_notification_no_fiat(default_conf, mocker) -> None:
'amount': 1333.3333333333335,
'open_date': arrow.utcnow().shift(hours=-1)
})
assert msg_mock.call_args[0][0] == ('\N{LARGE BLUE CIRCLE} *Bittrex:* Buying ETH/BTC\n'
assert msg_mock.call_args[0][0] == ('\N{LARGE BLUE CIRCLE} *Binance:* Buying ETH/BTC (#1)\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00001099`\n'
'*Current Rate:* `0.00001099`\n'
@@ -1397,7 +1513,8 @@ def test_send_msg_sell_notification_no_fiat(default_conf, mocker) -> None:
telegram, _, msg_mock = get_telegram_testobject(mocker, default_conf)
telegram.send_msg({
'type': RPCMessageType.SELL_NOTIFICATION,
'type': RPCMessageType.SELL,
'trade_id': 1,
'exchange': 'Binance',
'pair': 'KEY/ETH',
'gain': 'loss',
@@ -1414,14 +1531,15 @@ def test_send_msg_sell_notification_no_fiat(default_conf, mocker) -> None:
'open_date': arrow.utcnow().shift(hours=-2, minutes=-35, seconds=-3),
'close_date': arrow.utcnow(),
})
assert msg_mock.call_args[0][0] == ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH\n'
assert msg_mock.call_args[0][0] == ('\N{WARNING SIGN} *Binance:* Selling KEY/ETH (#1)\n'
'*Profit:* `-57.41%`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `2:35:03 (155.1 min)`\n'
'*Amount:* `1333.33333333`\n'
'*Open Rate:* `0.00007500`\n'
'*Current Rate:* `0.00003201`\n'
'*Close Rate:* `0.00003201`\n'
'*Sell Reason:* `stop_loss`\n'
'*Duration:* `2:35:03 (155.1 min)`\n'
'*Profit:* `-57.41%`')
'*Close Rate:* `0.00003201`'
)
@pytest.mark.parametrize('msg,expected', [
@@ -1482,7 +1600,7 @@ def test__send_msg_keyboard(default_conf, mocker, caplog) -> None:
['/count', '/start', '/stop', '/help']]
default_keyboard = ReplyKeyboardMarkup(default_keys_list)
custom_keys_list = [['/daily', '/stats', '/balance', '/profit'],
custom_keys_list = [['/daily', '/stats', '/balance', '/profit', '/profit 5'],
['/count', '/start', '/reload_config', '/help']]
custom_keyboard = ReplyKeyboardMarkup(custom_keys_list)
@@ -1516,5 +1634,5 @@ def test__send_msg_keyboard(default_conf, mocker, caplog) -> None:
used_keyboard = bot.send_message.call_args[1]['reply_markup']
assert used_keyboard == custom_keyboard
assert log_has("using custom keyboard from config.json: "
"[['/daily', '/stats', '/balance', '/profit'], ['/count', "
"[['/daily', '/stats', '/balance', '/profit', '/profit 5'], ['/count', "
"'/start', '/reload_config', '/help']]", caplog)

117
tests/rpc/test_rpc_webhook.py
View File

@@ -5,9 +5,9 @@ from unittest.mock import MagicMock
import pytest
from requests import RequestException
from freqtrade.rpc import RPC, RPCMessageType
from freqtrade.enums import RPCMessageType, SellType
from freqtrade.rpc import RPC
from freqtrade.rpc.webhook import Webhook
from freqtrade.strategy.interface import SellType
from tests.conftest import get_patched_freqtradebot, log_has
@@ -25,6 +25,11 @@ def get_webhook_dict() -> dict:
"value2": "limit {limit:8f}",
"value3": "{stake_amount:8f} {stake_currency}"
},
"webhookbuyfill": {
"value1": "Buy Order for {pair} filled",
"value2": "at {open_rate:8f}",
"value3": "{stake_amount:8f} {stake_currency}"
},
"webhooksell": {
"value1": "Selling {pair}",
"value2": "limit {limit:8f}",
@@ -35,6 +40,11 @@ def get_webhook_dict() -> dict:
"value2": "limit {limit:8f}",
"value3": "profit: {profit_amount:8f} {stake_currency} ({profit_ratio})"
},
"webhooksellfill": {
"value1": "Sell Order for {pair} filled",
"value2": "at {close_rate:8f}",
"value3": ""
},
"webhookstatus": {
"value1": "Status: {status}",
"value2": "",
@@ -49,7 +59,7 @@ def test__init__(mocker, default_conf):
assert webhook._config == default_conf
def test_send_msg(default_conf, mocker):
def test_send_msg_webhook(default_conf, mocker):
default_conf["webhook"] = get_webhook_dict()
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
@@ -58,8 +68,8 @@ def test_send_msg(default_conf, mocker):
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
msg = {
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'limit': 0.005,
'stake_amount': 0.8,
@@ -76,11 +86,11 @@ def test_send_msg(default_conf, mocker):
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhookbuy"]["value3"].format(**msg))
# Test buy cancel
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
msg_mock.reset_mock()
msg = {
'type': RPCMessageType.BUY_CANCEL_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY_CANCEL,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'limit': 0.005,
'stake_amount': 0.8,
@@ -96,12 +106,32 @@ def test_send_msg(default_conf, mocker):
default_conf["webhook"]["webhookbuycancel"]["value2"].format(**msg))
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhookbuycancel"]["value3"].format(**msg))
# Test sell
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
# Test buy fill
msg_mock.reset_mock()
msg = {
'type': RPCMessageType.SELL_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY_FILL,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'open_rate': 0.005,
'stake_amount': 0.8,
'stake_amount_fiat': 500,
'stake_currency': 'BTC',
'fiat_currency': 'EUR'
}
webhook.send_msg(msg=msg)
assert msg_mock.call_count == 1
assert (msg_mock.call_args[0][0]["value1"] ==
default_conf["webhook"]["webhookbuyfill"]["value1"].format(**msg))
assert (msg_mock.call_args[0][0]["value2"] ==
default_conf["webhook"]["webhookbuyfill"]["value2"].format(**msg))
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhookbuyfill"]["value3"].format(**msg))
# Test sell
msg_mock.reset_mock()
msg = {
'type': RPCMessageType.SELL,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': "profit",
'limit': 0.005,
@@ -123,11 +153,10 @@ def test_send_msg(default_conf, mocker):
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhooksell"]["value3"].format(**msg))
# Test sell cancel
msg_mock = MagicMock()
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
msg_mock.reset_mock()
msg = {
'type': RPCMessageType.SELL_CANCEL_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.SELL_CANCEL,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': "profit",
'limit': 0.005,
@@ -148,9 +177,35 @@ def test_send_msg(default_conf, mocker):
default_conf["webhook"]["webhooksellcancel"]["value2"].format(**msg))
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhooksellcancel"]["value3"].format(**msg))
for msgtype in [RPCMessageType.STATUS_NOTIFICATION,
RPCMessageType.WARNING_NOTIFICATION,
RPCMessageType.STARTUP_NOTIFICATION]:
# Test Sell fill
msg_mock.reset_mock()
msg = {
'type': RPCMessageType.SELL_FILL,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'gain': "profit",
'close_rate': 0.005,
'amount': 0.8,
'order_type': 'limit',
'open_rate': 0.004,
'current_rate': 0.005,
'profit_amount': 0.001,
'profit_ratio': 0.20,
'stake_currency': 'BTC',
'sell_reason': SellType.STOP_LOSS.value
}
webhook.send_msg(msg=msg)
assert msg_mock.call_count == 1
assert (msg_mock.call_args[0][0]["value1"] ==
default_conf["webhook"]["webhooksellfill"]["value1"].format(**msg))
assert (msg_mock.call_args[0][0]["value2"] ==
default_conf["webhook"]["webhooksellfill"]["value2"].format(**msg))
assert (msg_mock.call_args[0][0]["value3"] ==
default_conf["webhook"]["webhooksellfill"]["value3"].format(**msg))
for msgtype in [RPCMessageType.STATUS,
RPCMessageType.WARNING,
RPCMessageType.STARTUP]:
# Test notification
msg = {
'type': msgtype,
@@ -173,8 +228,8 @@ def test_exception_send_msg(default_conf, mocker, caplog):
del default_conf["webhook"]["webhookbuy"]
webhook = Webhook(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
webhook.send_msg({'type': RPCMessageType.BUY_NOTIFICATION})
assert log_has(f"Message type '{RPCMessageType.BUY_NOTIFICATION}' not configured for webhooks",
webhook.send_msg({'type': RPCMessageType.BUY})
assert log_has(f"Message type '{RPCMessageType.BUY}' not configured for webhooks",
caplog)
default_conf["webhook"] = get_webhook_dict()
@@ -183,8 +238,8 @@ def test_exception_send_msg(default_conf, mocker, caplog):
mocker.patch("freqtrade.rpc.webhook.Webhook._send_msg", msg_mock)
webhook = Webhook(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
msg = {
'type': RPCMessageType.BUY_NOTIFICATION,
'exchange': 'Bittrex',
'type': RPCMessageType.BUY,
'exchange': 'Binance',
'pair': 'ETH/BTC',
'limit': 0.005,
'order_type': 'limit',
@@ -225,3 +280,15 @@ def test__send_msg(default_conf, mocker, caplog):
mocker.patch("freqtrade.rpc.webhook.post", post)
webhook._send_msg(msg)
assert log_has('Could not call webhook url. Exception: ', caplog)
def test__send_msg_with_json_format(default_conf, mocker, caplog):
default_conf["webhook"] = get_webhook_dict()
default_conf["webhook"]["format"] = "json"
webhook = Webhook(RPC(get_patched_freqtradebot(mocker, default_conf)), default_conf)
msg = {'text': 'Hello'}
post = MagicMock()
mocker.patch("freqtrade.rpc.webhook.post", post)
webhook._send_msg(msg)
assert post.call_args[1] == {'json': msg}

2
tests/strategy/strats/default_strategy.py
View File

@@ -28,7 +28,7 @@ class DefaultStrategy(IStrategy):
# Optimal stoploss designed for the strategy
stoploss = -0.10
# Optimal ticker interval for the strategy
# Optimal timeframe for the strategy
timeframe = '5m'
# Optional order type mapping

173
tests/strategy/strats/hyperoptable_strategy.py Normal file
View File

@@ -0,0 +1,173 @@
# pragma pylint: disable=missing-docstring, invalid-name, pointless-string-statement
import talib.abstract as ta
from pandas import DataFrame
import freqtrade.vendor.qtpylib.indicators as qtpylib
from freqtrade.strategy import DecimalParameter, IntParameter, IStrategy, RealParameter
class HyperoptableStrategy(IStrategy):
"""
Default Strategy provided by freqtrade bot.
Please do not modify this strategy, it's intended for internal use only.
Please look at the SampleStrategy in the user_data/strategy directory
or strategy repository https://github.com/freqtrade/freqtrade-strategies
for samples and inspiration.
"""
INTERFACE_VERSION = 2
# Minimal ROI designed for the strategy
minimal_roi = {
"40": 0.0,
"30": 0.01,
"20": 0.02,
"0": 0.04
}
# Optimal stoploss designed for the strategy
stoploss = -0.10
# Optimal ticker interval for the strategy
timeframe = '5m'
# Optional order type mapping
order_types = {
'buy': 'limit',
'sell': 'limit',
'stoploss': 'limit',
'stoploss_on_exchange': False
}
# Number of candles the strategy requires before producing valid signals
startup_candle_count: int = 20
# Optional time in force for orders
order_time_in_force = {
'buy': 'gtc',
'sell': 'gtc',
}
buy_params = {
'buy_rsi': 35,
# Intentionally not specified, so "default" is tested
# 'buy_plusdi': 0.4
}
sell_params = {
'sell_rsi': 74,
'sell_minusdi': 0.4
}
buy_rsi = IntParameter([0, 50], default=30, space='buy')
buy_plusdi = RealParameter(low=0, high=1, default=0.5, space='buy')
sell_rsi = IntParameter(low=50, high=100, default=70, space='sell')
sell_minusdi = DecimalParameter(low=0, high=1, default=0.5001, decimals=3, space='sell',
load=False)
def informative_pairs(self):
"""
Define additional, informative pair/interval combinations to be cached from the exchange.
These pair/interval combinations are non-tradeable, unless they are part
of the whitelist as well.
For more information, please consult the documentation
:return: List of tuples in the format (pair, interval)
Sample: return [("ETH/USDT", "5m"),
("BTC/USDT", "15m"),
]
"""
return []
def populate_indicators(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Adds several different TA indicators to the given DataFrame
Performance Note: For the best performance be frugal on the number of indicators
you are using. Let uncomment only the indicator you are using in your strategies
or your hyperopt configuration, otherwise you will waste your memory and CPU usage.
:param dataframe: Dataframe with data from the exchange
:param metadata: Additional information, like the currently traded pair
:return: a Dataframe with all mandatory indicators for the strategies
"""
# Momentum Indicator
# ------------------------------------
# ADX
dataframe['adx'] = ta.ADX(dataframe)
# MACD
macd = ta.MACD(dataframe)
dataframe['macd'] = macd['macd']
dataframe['macdsignal'] = macd['macdsignal']
dataframe['macdhist'] = macd['macdhist']
# Minus Directional Indicator / Movement
dataframe['minus_di'] = ta.MINUS_DI(dataframe)
# Plus Directional Indicator / Movement
dataframe['plus_di'] = ta.PLUS_DI(dataframe)
# RSI
dataframe['rsi'] = ta.RSI(dataframe)
# Stoch fast
stoch_fast = ta.STOCHF(dataframe)
dataframe['fastd'] = stoch_fast['fastd']
dataframe['fastk'] = stoch_fast['fastk']
# Bollinger bands
bollinger = qtpylib.bollinger_bands(qtpylib.typical_price(dataframe), window=20, stds=2)
dataframe['bb_lowerband'] = bollinger['lower']
dataframe['bb_middleband'] = bollinger['mid']
dataframe['bb_upperband'] = bollinger['upper']
# EMA - Exponential Moving Average
dataframe['ema10'] = ta.EMA(dataframe, timeperiod=10)
return dataframe
def populate_buy_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the buy signal for the given dataframe
:param dataframe: DataFrame
:param metadata: Additional information, like the currently traded pair
:return: DataFrame with buy column
"""
dataframe.loc[
(
(dataframe['rsi'] < self.buy_rsi.value) &
(dataframe['fastd'] < 35) &
(dataframe['adx'] > 30) &
(dataframe['plus_di'] > self.buy_plusdi.value)
) |
(
(dataframe['adx'] > 65) &
(dataframe['plus_di'] > self.buy_plusdi.value)
),
'buy'] = 1
return dataframe
def populate_sell_trend(self, dataframe: DataFrame, metadata: dict) -> DataFrame:
"""
Based on TA indicators, populates the sell signal for the given dataframe
:param dataframe: DataFrame
:param metadata: Additional information, like the currently traded pair
:return: DataFrame with buy column
"""
dataframe.loc[
(
(
(qtpylib.crossed_above(dataframe['rsi'], self.sell_rsi.value)) |
(qtpylib.crossed_above(dataframe['fastd'], 70))
) &
(dataframe['adx'] > 10) &
(dataframe['minus_di'] > 0)
) |
(
(dataframe['adx'] > 70) &
(dataframe['minus_di'] > self.sell_minusdi.value)
),
'sell'] = 1
return dataframe

2
tests/strategy/strats/legacy_strategy.py
View File

@@ -31,7 +31,7 @@ class TestStrategyLegacy(IStrategy):
# This attribute will be overridden if the config file contains "stoploss"
stoploss = -0.10
# Optimal ticker interval for the strategy
# Optimal timeframe for the strategy
# Keep the legacy value here to test compatibility
ticker_interval = '5m'

6
tests/strategy/test_default_strategy.py
View File

@@ -36,9 +36,11 @@ def test_default_strategy(result, fee):
)
assert strategy.confirm_trade_entry(pair='ETH/BTC', order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc') is True
rate=20000, time_in_force='gtc',
current_time=datetime.utcnow()) is True
assert strategy.confirm_trade_exit(pair='ETH/BTC', trade=trade, order_type='limit', amount=0.1,
rate=20000, time_in_force='gtc', sell_reason='roi') is True
rate=20000, time_in_force='gtc', sell_reason='roi',
current_time=datetime.utcnow()) is True
assert strategy.custom_stoploss(pair='ETH/BTC', trade=trade, current_time=datetime.now(),
current_rate=20_000, current_profit=0.05) == strategy.stoploss

138
tests/strategy/test_interface.py
View File

@@ -10,10 +10,13 @@ from pandas import DataFrame
from freqtrade.configuration import TimeRange
from freqtrade.data.dataprovider import DataProvider
from freqtrade.data.history import load_data
from freqtrade.exceptions import StrategyError
from freqtrade.enums import SellType
from freqtrade.exceptions import OperationalException, StrategyError
from freqtrade.persistence import PairLocks, Trade
from freqtrade.resolvers import StrategyResolver
from freqtrade.strategy.interface import SellCheckTuple, SellType
from freqtrade.strategy.hyper import (BaseParameter, CategoricalParameter, DecimalParameter,
IntParameter, RealParameter)
from freqtrade.strategy.interface import SellCheckTuple
from freqtrade.strategy.strategy_wrapper import strategy_safe_wrapper
from tests.conftest import log_has, log_has_re
@@ -217,7 +220,7 @@ def test_min_roi_reached(default_conf, fee) -> None:
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
)
@@ -256,7 +259,7 @@ def test_min_roi_reached2(default_conf, fee) -> None:
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
)
@@ -291,7 +294,7 @@ def test_min_roi_reached3(default_conf, fee) -> None:
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
)
@@ -344,7 +347,7 @@ def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, traili
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
)
trade.adjust_min_max_rates(trade.open_rate)
@@ -380,6 +383,50 @@ def test_stop_loss_reached(default_conf, fee, profit, adjusted, expected, traili
strategy.custom_stoploss = original_stopvalue
def test_custom_sell(default_conf, fee, caplog) -> None:
default_conf.update({'strategy': 'DefaultStrategy'})
strategy = StrategyResolver.load_strategy(default_conf)
trade = Trade(
pair='ETH/BTC',
stake_amount=0.01,
amount=1,
open_date=arrow.utcnow().shift(hours=-1).datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='binance',
open_rate=1,
)
now = arrow.utcnow().datetime
res = strategy.should_sell(trade, 1, now, False, False, None, None, 0)
assert res.sell_flag is False
assert res.sell_type == SellType.NONE
strategy.custom_sell = MagicMock(return_value=True)
res = strategy.should_sell(trade, 1, now, False, False, None, None, 0)
assert res.sell_flag is True
assert res.sell_type == SellType.CUSTOM_SELL
assert res.sell_reason == 'custom_sell'
strategy.custom_sell = MagicMock(return_value='hello world')
res = strategy.should_sell(trade, 1, now, False, False, None, None, 0)
assert res.sell_type == SellType.CUSTOM_SELL
assert res.sell_flag is True
assert res.sell_reason == 'hello world'
caplog.clear()
strategy.custom_sell = MagicMock(return_value='h' * 100)
res = strategy.should_sell(trade, 1, now, False, False, None, None, 0)
assert res.sell_type == SellType.CUSTOM_SELL
assert res.sell_flag is True
assert res.sell_reason == 'h' * 64
assert log_has_re('Custom sell reason returned from custom_sell is too long.*', caplog)
def test_analyze_ticker_default(ohlcv_history, mocker, caplog) -> None:
caplog.set_level(logging.DEBUG)
ind_mock = MagicMock(side_effect=lambda x, meta: x)
@@ -552,3 +599,82 @@ def test_strategy_safe_wrapper(value):
assert type(ret) == type(value)
assert ret == value
def test_hyperopt_parameters():
from skopt.space import Categorical, Integer, Real
with pytest.raises(OperationalException, match=r"Name is determined.*"):
IntParameter(low=0, high=5, default=1, name='hello')
with pytest.raises(OperationalException, match=r"IntParameter space must be.*"):
IntParameter(low=0, default=5, space='buy')
with pytest.raises(OperationalException, match=r"RealParameter space must be.*"):
RealParameter(low=0, default=5, space='buy')
with pytest.raises(OperationalException, match=r"DecimalParameter space must be.*"):
DecimalParameter(low=0, default=5, space='buy')
with pytest.raises(OperationalException, match=r"IntParameter space invalid\."):
IntParameter([0, 10], high=7, default=5, space='buy')
with pytest.raises(OperationalException, match=r"RealParameter space invalid\."):
RealParameter([0, 10], high=7, default=5, space='buy')
with pytest.raises(OperationalException, match=r"DecimalParameter space invalid\."):
DecimalParameter([0, 10], high=7, default=5, space='buy')
with pytest.raises(OperationalException, match=r"CategoricalParameter space must.*"):
CategoricalParameter(['aa'], default='aa', space='buy')
with pytest.raises(TypeError):
BaseParameter(opt_range=[0, 1], default=1, space='buy')
intpar = IntParameter(low=0, high=5, default=1, space='buy')
assert intpar.value == 1
assert isinstance(intpar.get_space(''), Integer)
assert isinstance(intpar.range, range)
assert len(list(intpar.range)) == 1
# Range contains ONLY the default / value.
assert list(intpar.range) == [intpar.value]
intpar.in_space = True
assert len(list(intpar.range)) == 6
assert list(intpar.range) == [0, 1, 2, 3, 4, 5]
fltpar = RealParameter(low=0.0, high=5.5, default=1.0, space='buy')
assert isinstance(fltpar.get_space(''), Real)
assert fltpar.value == 1
fltpar = DecimalParameter(low=0.0, high=5.5, default=1.0004, decimals=3, space='buy')
assert isinstance(fltpar.get_space(''), Integer)
assert fltpar.value == 1
catpar = CategoricalParameter(['buy_rsi', 'buy_macd', 'buy_none'],
default='buy_macd', space='buy')
assert isinstance(catpar.get_space(''), Categorical)
assert catpar.value == 'buy_macd'
def test_auto_hyperopt_interface(default_conf):
default_conf.update({'strategy': 'HyperoptableStrategy'})
PairLocks.timeframe = default_conf['timeframe']
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.buy_rsi.value == strategy.buy_params['buy_rsi']
# PlusDI is NOT in the buy-params, so default should be used
assert strategy.buy_plusdi.value == 0.5
assert strategy.sell_rsi.value == strategy.sell_params['sell_rsi']
# Parameter is disabled - so value from sell_param dict will NOT be used.
assert strategy.sell_minusdi.value == 0.5
all_params = strategy.detect_all_parameters()
assert isinstance(all_params, dict)
assert len(all_params['buy']) == 2
assert len(all_params['sell']) == 2
assert all_params['count'] == 4
strategy.__class__.sell_rsi = IntParameter([0, 10], default=5, space='buy')
with pytest.raises(OperationalException, match=r"Inconclusive parameter.*"):
[x for x in strategy.detect_parameters('sell')]

39
tests/strategy/test_strategy_helpers.py
View File

@@ -1,8 +1,10 @@
from math import isclose
import numpy as np
import pandas as pd
import pytest
from freqtrade.strategy import merge_informative_pair, timeframe_to_minutes
from freqtrade.strategy import merge_informative_pair, stoploss_from_open, timeframe_to_minutes
def generate_test_data(timeframe: str, size: int):
@@ -95,3 +97,38 @@ def test_merge_informative_pair_lower():
with pytest.raises(ValueError, match=r"Tried to merge a faster timeframe .*"):
merge_informative_pair(data, informative, '1h', '15m', ffill=True)
def test_stoploss_from_open():
open_price_ranges = [
[0.01, 1.00, 30],
[1, 100, 30],
[100, 10000, 30],
]
current_profit_range = [-0.99, 2, 30]
desired_stop_range = [-0.50, 0.50, 30]
for open_range in open_price_ranges:
for open_price in np.linspace(*open_range):
for desired_stop in np.linspace(*desired_stop_range):
# -1 is not a valid current_profit, should return 1
assert stoploss_from_open(desired_stop, -1) == 1
for current_profit in np.linspace(*current_profit_range):
current_price = open_price * (1 + current_profit)
expected_stop_price = open_price * (1 + desired_stop)
stoploss = stoploss_from_open(desired_stop, current_profit)
assert stoploss >= 0
assert stoploss <= 1
stop_price = current_price * (1 - stoploss)
# there is no correct answer if the expected stop price is above
# the current price
if expected_stop_price > current_price:
assert stoploss == 0
else:
assert isclose(stop_price, expected_stop_price, rel_tol=0.00001)

11
tests/strategy/test_strategy_loading.py
View File

@@ -35,7 +35,7 @@ def test_search_all_strategies_no_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=False)
assert isinstance(strategies, list)
assert len(strategies) == 2
assert len(strategies) == 3
assert isinstance(strategies[0], dict)
@@ -43,10 +43,10 @@ def test_search_all_strategies_with_failed():
directory = Path(__file__).parent / "strats"
strategies = StrategyResolver.search_all_objects(directory, enum_failed=True)
assert isinstance(strategies, list)
assert len(strategies) == 3
assert len(strategies) == 4
# with enum_failed=True search_all_objects() shall find 2 good strategies
# and 1 which fails to load
assert len([x for x in strategies if x['class'] is not None]) == 2
assert len([x for x in strategies if x['class'] is not None]) == 3
assert len([x for x in strategies if x['class'] is None]) == 1
@@ -129,13 +129,16 @@ def test_strategy_override_minimal_roi(caplog, default_conf):
default_conf.update({
'strategy': 'DefaultStrategy',
'minimal_roi': {
"20": 0.1,
"0": 0.5
}
})
strategy = StrategyResolver.load_strategy(default_conf)
assert strategy.minimal_roi[0] == 0.5
assert log_has("Override strategy 'minimal_roi' with value in config file: {'0': 0.5}.", caplog)
assert log_has(
"Override strategy 'minimal_roi' with value in config file: {'20': 0.1, '0': 0.5}.",
caplog)
def test_strategy_override_stoploss(caplog, default_conf):

6
tests/test_arguments.py
View File

@@ -186,18 +186,22 @@ def test_plot_dataframe_options() -> None:
assert pargs['pairs'] == ['UNITTEST/BTC']
def test_plot_profit_options() -> None:
@pytest.mark.parametrize('auto_open_arg', [True, False])
def test_plot_profit_options(auto_open_arg: bool) -> None:
args = [
'plot-profit',
'-p', 'UNITTEST/BTC',
'--trade-source', 'DB',
'--db-url', 'sqlite:///whatever.sqlite',
]
if auto_open_arg:
args.append('--auto-open')
pargs = Arguments(args).get_parsed_arg()
assert pargs['trade_source'] == 'DB'
assert pargs['pairs'] == ['UNITTEST/BTC']
assert pargs['db_url'] == 'sqlite:///whatever.sqlite'
assert pargs['plot_auto_open'] == auto_open_arg
def test_config_notallowed(mocker) -> None:

97
tests/test_configuration.py
View File

@@ -18,11 +18,11 @@ from freqtrade.configuration.deprecated_settings import (check_conflicting_setti
process_deprecated_setting,
process_removed_setting,
process_temporary_deprecated_settings)
from freqtrade.configuration.load_config import load_config_file, log_config_error_range
from freqtrade.configuration.load_config import load_config_file, load_file, log_config_error_range
from freqtrade.constants import DEFAULT_DB_DRYRUN_URL, DEFAULT_DB_PROD_URL
from freqtrade.enums import RunMode
from freqtrade.exceptions import OperationalException
from freqtrade.loggers import _set_loggers, setup_logging, setup_logging_pre
from freqtrade.state import RunMode
from tests.conftest import log_has, log_has_re, patched_configuration_load_config_file
@@ -88,6 +88,24 @@ def test_load_config_file_error_range(default_conf, mocker, caplog) -> None:
'"stake_amount": .001, "fiat_display_currency": "USD", '
'"timeframe": "5m", "dry_run": true, "cance')
filedata = json.dumps(default_conf, indent=2).replace(
'"stake_amount": 0.001,', '"stake_amount": .001,')
mocker.patch.object(Path, "read_text", MagicMock(return_value=filedata))
x = log_config_error_range('somefile', 'Parse error at offset 4: Invalid value.')
assert isinstance(x, str)
assert (x == ' "max_open_trades": 1,\n "stake_currency": "BTC",\n'
' "stake_amount": .001,')
x = log_config_error_range('-', '')
assert x == ''
def test_load_file_error(tmpdir):
testpath = Path(tmpdir) / 'config.json'
with pytest.raises(OperationalException, match=r"File .* not found!"):
load_file(testpath)
def test__args_to_config(caplog):
@@ -430,7 +448,8 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
'--enable-position-stacking',
'--disable-max-market-positions',
'--timerange', ':100',
'--export', '/bar/foo'
'--export', '/bar/foo',
'--stake-amount', 'unlimited'
]
args = Arguments(arglist).get_parsed_arg()
@@ -463,6 +482,8 @@ def test_setup_configuration_with_arguments(mocker, default_conf, caplog) -> Non
assert 'export' in config
assert log_has('Parameter --export detected: {} ...'.format(config['export']), caplog)
assert 'stake_amount' in config
assert config['stake_amount'] == 'unlimited'
def test_setup_configuration_with_stratlist(mocker, default_conf, caplog) -> None:
@@ -562,7 +583,7 @@ def test_check_exchange(default_conf, caplog) -> None:
# Test a 'bad' exchange, which known to have serious problems
default_conf.get('exchange').update({'name': 'bitmex'})
with pytest.raises(OperationalException,
match=r"Exchange .* is known to not work with the bot yet.*"):
match=r"Exchange .* will not work with Freqtrade\..*"):
check_exchange(default_conf)
caplog.clear()
@@ -787,6 +808,38 @@ def test_validate_max_open_trades(default_conf):
validate_config_consistency(default_conf)
def test_validate_price_side(default_conf):
default_conf['order_types'] = {
"buy": "limit",
"sell": "limit",
"stoploss": "limit",
"stoploss_on_exchange": False,
}
# Default should pass
validate_config_consistency(default_conf)
conf = deepcopy(default_conf)
conf['order_types']['buy'] = 'market'
with pytest.raises(OperationalException,
match='Market buy orders require bid_strategy.price_side = "ask".'):
validate_config_consistency(conf)
conf = deepcopy(default_conf)
conf['order_types']['sell'] = 'market'
with pytest.raises(OperationalException,
match='Market sell orders require ask_strategy.price_side = "bid".'):
validate_config_consistency(conf)
# Validate inversed case
conf = deepcopy(default_conf)
conf['order_types']['sell'] = 'market'
conf['order_types']['buy'] = 'market'
conf['ask_strategy']['price_side'] = 'bid'
conf['bid_strategy']['price_side'] = 'ask'
validate_config_consistency(conf)
def test_validate_tsl(default_conf):
default_conf['stoploss'] = 0.0
with pytest.raises(OperationalException, match='The config stoploss needs to be different '
@@ -825,22 +878,6 @@ def test_validate_tsl(default_conf):
validate_config_consistency(default_conf)
def test_validate_edge(edge_conf):
edge_conf.update({"pairlist": {
"method": "VolumePairList",
}})
with pytest.raises(OperationalException,
match="Edge and VolumePairList are incompatible, "
"Edge will override whatever pairs VolumePairlist selects."):
validate_config_consistency(edge_conf)
edge_conf.update({"pairlist": {
"method": "StaticPairList",
}})
validate_config_consistency(edge_conf)
def test_validate_edge2(edge_conf):
edge_conf.update({"ask_strategy": {
"use_sell_signal": True,
@@ -983,6 +1020,7 @@ def test_pairlist_resolving():
config = configuration.get_config()
assert config['pairs'] == ['ETH/BTC', 'XRP/BTC']
assert config['exchange']['pair_whitelist'] == ['ETH/BTC', 'XRP/BTC']
assert config['exchange']['name'] == 'binance'
@@ -1019,37 +1057,30 @@ def test_pairlist_resolving_with_config(mocker, default_conf):
def test_pairlist_resolving_with_config_pl(mocker, default_conf):
patched_configuration_load_config_file(mocker, default_conf)
load_mock = mocker.patch("freqtrade.configuration.configuration.json_load",
MagicMock(return_value=['XRP/BTC', 'ETH/BTC']))
mocker.patch.object(Path, "exists", MagicMock(return_value=True))
mocker.patch.object(Path, "open", MagicMock(return_value=MagicMock()))
arglist = [
'download-data',
'--config', 'config.json',
'--pairs-file', 'pairs.json',
'--pairs-file', 'tests/testdata/pairs.json',
]
args = Arguments(arglist).get_parsed_arg()
configuration = Configuration(args)
config = configuration.get_config()
assert load_mock.call_count == 1
assert config['pairs'] == ['ETH/BTC', 'XRP/BTC']
assert len(config['pairs']) == 23
assert 'ETH/BTC' in config['pairs']
assert 'XRP/BTC' in config['pairs']
assert config['exchange']['name'] == default_conf['exchange']['name']
def test_pairlist_resolving_with_config_pl_not_exists(mocker, default_conf):
patched_configuration_load_config_file(mocker, default_conf)
mocker.patch("freqtrade.configuration.configuration.json_load",
MagicMock(return_value=['XRP/BTC', 'ETH/BTC']))
mocker.patch.object(Path, "exists", MagicMock(return_value=False))
arglist = [
'download-data',
'--config', 'config.json',
'--pairs-file', 'pairs.json',
'--pairs-file', 'tests/testdata/pairs_doesnotexist.json',
]
args = Arguments(arglist).get_parsed_arg()
@@ -1062,7 +1093,7 @@ def test_pairlist_resolving_with_config_pl_not_exists(mocker, default_conf):
def test_pairlist_resolving_fallback(mocker):
mocker.patch.object(Path, "exists", MagicMock(return_value=True))
mocker.patch.object(Path, "open", MagicMock(return_value=MagicMock()))
mocker.patch("freqtrade.configuration.configuration.json_load",
mocker.patch("freqtrade.configuration.configuration.load_file",
MagicMock(return_value=['XRP/BTC', 'ETH/BTC']))
arglist = [
'download-data',

23
tests/test_directory_operations.py
View File

@@ -1,11 +1,12 @@
# pragma pylint: disable=missing-docstring, protected-access, invalid-name
import os
from pathlib import Path
from unittest.mock import MagicMock
import pytest
from freqtrade.configuration.directory_operations import (copy_sample_files, create_datadir,
create_userdata_dir)
from freqtrade.configuration.directory_operations import (chown_user_directory, copy_sample_files,
create_datadir, create_userdata_dir)
from freqtrade.exceptions import OperationalException
from tests.conftest import log_has, log_has_re
@@ -31,6 +32,24 @@ def test_create_userdata_dir(mocker, default_conf, caplog) -> None:
assert str(x) == str(Path("/tmp/bar"))
def test_create_userdata_dir_and_chown(mocker, tmpdir, caplog) -> None:
sp_mock = mocker.patch('subprocess.check_output')
path = Path(tmpdir / 'bar')
assert not path.is_dir()
x = create_userdata_dir(str(path), create_dir=True)
assert sp_mock.call_count == 0
assert log_has(f'Created user-data directory: {path}', caplog)
assert isinstance(x, Path)
assert path.is_dir()
assert (path / 'data').is_dir()
os.environ['FT_APP_ENV'] = 'docker'
chown_user_directory(path / 'data')
assert sp_mock.call_count == 1
del os.environ['FT_APP_ENV']
def test_create_userdata_dir_exists(mocker, default_conf, caplog) -> None:
mocker.patch.object(Path, "is_dir", MagicMock(return_value=True))
md = mocker.patch.object(Path, 'mkdir', MagicMock())

442
tests/test_freqtradebot.py
View File

File diff suppressed because it is too large Load Diff

26
tests/test_integration.py
View File

@@ -2,9 +2,10 @@ from unittest.mock import MagicMock
import pytest
from freqtrade.enums import SellType
from freqtrade.persistence import Trade
from freqtrade.rpc.rpc import RPC
from freqtrade.strategy.interface import SellCheckTuple, SellType
from freqtrade.strategy.interface import SellCheckTuple
from tests.conftest import get_patched_freqtradebot, patch_get_signal
@@ -51,8 +52,8 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
side_effect=[stoploss_order_closed, stoploss_order_open, stoploss_order_open])
# Sell 3rd trade (not called for the first trade)
should_sell_mock = MagicMock(side_effect=[
SellCheckTuple(sell_flag=False, sell_type=SellType.NONE),
SellCheckTuple(sell_flag=True, sell_type=SellType.SELL_SIGNAL)]
SellCheckTuple(sell_type=SellType.NONE),
SellCheckTuple(sell_type=SellType.SELL_SIGNAL)]
)
cancel_order_mock = MagicMock()
mocker.patch('freqtrade.exchange.Binance.stoploss', stoploss)
@@ -63,7 +64,7 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
amount_to_precision=lambda s, x, y: y,
price_to_precision=lambda s, x, y: y,
fetch_stoploss_order=stoploss_order_mock,
cancel_stoploss_order=cancel_order_mock,
cancel_stoploss_order_with_result=cancel_order_mock,
)
mocker.patch.multiple(
@@ -89,7 +90,6 @@ def test_may_execute_sell_stoploss_on_exchange_multi(default_conf, ticker, fee,
freqtrade.strategy.confirm_trade_entry.reset_mock()
assert freqtrade.strategy.confirm_trade_exit.call_count == 0
wallets_mock.reset_mock()
Trade.session = MagicMock()
trades = Trade.query.all()
# Make sure stoploss-order is open and trade is bought (since we mock update_trade_state)
@@ -157,11 +157,11 @@ def test_forcebuy_last_unlimited(default_conf, ticker, fee, limit_buy_order, moc
_notify_sell=MagicMock(),
)
should_sell_mock = MagicMock(side_effect=[
SellCheckTuple(sell_flag=False, sell_type=SellType.NONE),
SellCheckTuple(sell_flag=True, sell_type=SellType.SELL_SIGNAL),
SellCheckTuple(sell_flag=False, sell_type=SellType.NONE),
SellCheckTuple(sell_flag=False, sell_type=SellType.NONE),
SellCheckTuple(sell_flag=None, sell_type=SellType.NONE)]
SellCheckTuple(sell_type=SellType.NONE),
SellCheckTuple(sell_type=SellType.SELL_SIGNAL),
SellCheckTuple(sell_type=SellType.NONE),
SellCheckTuple(sell_type=SellType.NONE),
SellCheckTuple(sell_type=SellType.NONE)]
)
mocker.patch("freqtrade.strategy.interface.IStrategy.should_sell", should_sell_mock)
@@ -178,8 +178,7 @@ def test_forcebuy_last_unlimited(default_conf, ticker, fee, limit_buy_order, moc
trades = Trade.query.all()
assert len(trades) == 4
assert freqtrade.wallets.get_trade_stake_amount(
'XRP/BTC', freqtrade.get_free_open_trades()) == result1
assert freqtrade.wallets.get_trade_stake_amount('XRP/BTC') == result1
rpc._rpc_forcebuy('TKN/BTC', None)
@@ -200,8 +199,7 @@ def test_forcebuy_last_unlimited(default_conf, ticker, fee, limit_buy_order, moc
# One trade sold
assert len(trades) == 4
# stake-amount should now be reduced, since one trade was sold at a loss.
assert freqtrade.wallets.get_trade_stake_amount(
'XRP/BTC', freqtrade.get_free_open_trades()) < result1
assert freqtrade.wallets.get_trade_stake_amount('XRP/BTC') < result1
# Validate that balance of sold trade is not in dry-run balances anymore.
bals2 = freqtrade.wallets.get_all_balances()
assert bals != bals2

6
tests/test_main.py
View File

@@ -7,10 +7,10 @@ from unittest.mock import MagicMock, PropertyMock
import pytest
from freqtrade.commands import Arguments
from freqtrade.enums import State
from freqtrade.exceptions import FreqtradeException, OperationalException
from freqtrade.freqtradebot import FreqtradeBot
from freqtrade.main import main
from freqtrade.state import State
from freqtrade.worker import Worker
from tests.conftest import (log_has, log_has_re, patch_exchange,
patched_configuration_load_config_file)
@@ -118,7 +118,7 @@ def test_main_operational_exception(mocker, default_conf, caplog) -> None:
def test_main_operational_exception1(mocker, default_conf, caplog) -> None:
patch_exchange(mocker)
mocker.patch(
'freqtrade.commands.list_commands.available_exchanges',
'freqtrade.commands.list_commands.validate_exchanges',
MagicMock(side_effect=ValueError('Oh snap!'))
)
patched_configuration_load_config_file(mocker, default_conf)
@@ -132,7 +132,7 @@ def test_main_operational_exception1(mocker, default_conf, caplog) -> None:
assert log_has('Fatal exception!', caplog)
assert not log_has_re(r'SIGINT.*', caplog)
mocker.patch(
'freqtrade.commands.list_commands.available_exchanges',
'freqtrade.commands.list_commands.validate_exchanges',
MagicMock(side_effect=KeyboardInterrupt)
)
with pytest.raises(SystemExit):

279
tests/test_persistence.py
View File

@@ -1,32 +1,36 @@
# pragma pylint: disable=missing-docstring, C0103
import logging
from datetime import datetime, timedelta, timezone
from pathlib import Path
from types import FunctionType
from unittest.mock import MagicMock
import arrow
import pytest
from sqlalchemy import create_engine
from sqlalchemy import create_engine, inspect, text
from freqtrade import constants
from freqtrade.exceptions import DependencyException, OperationalException
from freqtrade.persistence import Order, Trade, clean_dry_run_db, init_db
from freqtrade.persistence import LocalTrade, Order, Trade, clean_dry_run_db, init_db
from tests.conftest import create_mock_trades, log_has, log_has_re
def test_init_create_session(default_conf):
# Check if init create a session
init_db(default_conf['db_url'], default_conf['dry_run'])
assert hasattr(Trade, 'session')
assert 'scoped_session' in type(Trade.session).__name__
assert hasattr(Trade, '_session')
assert 'scoped_session' in type(Trade._session).__name__
def test_init_custom_db_url(default_conf, mocker):
def test_init_custom_db_url(default_conf, tmpdir):
# Update path to a value other than default, but still in-memory
default_conf.update({'db_url': 'sqlite:///tmp/freqtrade2_test.sqlite'})
create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
filename = f"{tmpdir}/freqtrade2_test.sqlite"
assert not Path(filename).is_file()
default_conf.update({'db_url': f'sqlite:///{filename}'})
init_db(default_conf['db_url'], default_conf['dry_run'])
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tmp/freqtrade2_test.sqlite'
assert Path(filename).is_file()
def test_init_invalid_db_url(default_conf):
@@ -47,19 +51,20 @@ def test_init_prod_db(default_conf, mocker):
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.sqlite'
def test_init_dryrun_db(default_conf, mocker):
default_conf.update({'dry_run': True})
default_conf.update({'db_url': constants.DEFAULT_DB_DRYRUN_URL})
create_engine_mock = mocker.patch('freqtrade.persistence.models.create_engine', MagicMock())
def test_init_dryrun_db(default_conf, tmpdir):
filename = f"{tmpdir}/freqtrade2_prod.sqlite"
assert not Path(filename).is_file()
default_conf.update({
'dry_run': True,
'db_url': f'sqlite:///{filename}'
})
init_db(default_conf['db_url'], default_conf['dry_run'])
assert create_engine_mock.call_count == 1
assert create_engine_mock.mock_calls[0][1][0] == 'sqlite:///tradesv3.dryrun.sqlite'
assert Path(filename).is_file()
@pytest.mark.usefixtures("init_persistence")
def test_update_with_bittrex(limit_buy_order, limit_sell_order, fee, caplog):
def test_update_with_binance(limit_buy_order, limit_sell_order, fee, caplog):
"""
On this test we will buy and sell a crypto currency.
@@ -97,7 +102,7 @@ def test_update_with_bittrex(limit_buy_order, limit_sell_order, fee, caplog):
open_date=arrow.utcnow().datetime,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
assert trade.open_order_id is None
assert trade.close_profit is None
@@ -137,7 +142,7 @@ def test_update_market_order(market_buy_order, market_sell_order, fee, caplog):
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=arrow.utcnow().datetime,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'something'
@@ -172,7 +177,7 @@ def test_calc_open_close_trade_price(limit_buy_order, limit_sell_order, fee):
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'something'
@@ -200,7 +205,7 @@ def test_trade_close(limit_buy_order, limit_sell_order, fee):
fee_open=fee.return_value,
fee_close=fee.return_value,
open_date=arrow.Arrow(2020, 2, 1, 15, 5, 1).datetime,
exchange='bittrex',
exchange='binance',
)
assert trade.close_profit is None
assert trade.close_date is None
@@ -228,7 +233,7 @@ def test_calc_close_trade_price_exception(limit_buy_order, fee):
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'something'
@@ -245,7 +250,7 @@ def test_update_open_order(limit_buy_order):
amount=5,
fee_open=0.1,
fee_close=0.1,
exchange='bittrex',
exchange='binance',
)
assert trade.open_order_id is None
@@ -269,7 +274,7 @@ def test_update_invalid_order(limit_buy_order):
open_rate=0.001,
fee_open=0.1,
fee_close=0.1,
exchange='bittrex',
exchange='binance',
)
limit_buy_order['type'] = 'invalid'
with pytest.raises(ValueError, match=r'Unknown order type'):
@@ -285,7 +290,7 @@ def test_calc_open_trade_value(limit_buy_order, fee):
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'open_trade'
trade.update(limit_buy_order) # Buy @ 0.00001099
@@ -306,7 +311,7 @@ def test_calc_close_trade_price(limit_buy_order, limit_sell_order, fee):
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'close_trade'
trade.update(limit_buy_order) # Buy @ 0.00001099
@@ -331,7 +336,7 @@ def test_calc_profit(limit_buy_order, limit_sell_order, fee):
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
@@ -365,7 +370,7 @@ def test_calc_profit_ratio(limit_buy_order, limit_sell_order, fee):
open_rate=0.00001099,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
)
trade.open_order_id = 'something'
trade.update(limit_buy_order) # Buy @ 0.00001099
@@ -383,6 +388,9 @@ def test_calc_profit_ratio(limit_buy_order, limit_sell_order, fee):
# Test with a custom fee rate on the close trade
assert trade.calc_profit_ratio(fee=0.003) == 0.06147824
trade.open_trade_value = 0.0
assert trade.calc_profit_ratio(fee=0.003) == 0.0
@pytest.mark.usefixtures("init_persistence")
def test_clean_dry_run_db(default_conf, fee):
@@ -395,10 +403,10 @@ def test_clean_dry_run_db(default_conf, fee):
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='dry_run_buy_12345'
)
Trade.session.add(trade)
Trade.query.session.add(trade)
trade = Trade(
pair='ETC/BTC',
@@ -407,10 +415,10 @@ def test_clean_dry_run_db(default_conf, fee):
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='dry_run_sell_12345'
)
Trade.session.add(trade)
Trade.query.session.add(trade)
# Simulate prod entry
trade = Trade(
@@ -420,10 +428,10 @@ def test_clean_dry_run_db(default_conf, fee):
fee_open=fee.return_value,
fee_close=fee.return_value,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='prod_buy_12345'
)
Trade.session.add(trade)
Trade.query.session.add(trade)
# We have 3 entries: 2 dry_run, 1 prod
assert len(Trade.query.filter(Trade.open_order_id.isnot(None)).all()) == 3
@@ -458,7 +466,7 @@ def test_migrate_old(mocker, default_conf, fee):
);"""
insert_table_old = """INSERT INTO trades (exchange, pair, is_open, open_order_id, fee,
open_rate, stake_amount, amount, open_date)
VALUES ('BITTREX', 'BTC_ETC', 1, '123123', {fee},
VALUES ('binance', 'BTC_ETC', 1, '123123', {fee},
0.00258580, {stake}, {amount},
'2017-11-28 12:44:24.000000')
""".format(fee=fee.return_value,
@@ -467,7 +475,7 @@ def test_migrate_old(mocker, default_conf, fee):
)
insert_table_old2 = """INSERT INTO trades (exchange, pair, is_open, fee,
open_rate, close_rate, stake_amount, amount, open_date)
VALUES ('BITTREX', 'BTC_ETC', 0, {fee},
VALUES ('binance', 'BTC_ETC', 0, {fee},
0.00258580, 0.00268580, {stake}, {amount},
'2017-11-28 12:44:24.000000')
""".format(fee=fee.return_value,
@@ -478,9 +486,10 @@ def test_migrate_old(mocker, default_conf, fee):
mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
engine.execute(create_table_old)
engine.execute(insert_table_old)
engine.execute(insert_table_old2)
with engine.begin() as connection:
connection.execute(text(create_table_old))
connection.execute(text(insert_table_old))
connection.execute(text(insert_table_old2))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
@@ -495,7 +504,7 @@ def test_migrate_old(mocker, default_conf, fee):
assert trade.amount_requested == amount
assert trade.stake_amount == default_conf.get("stake_amount")
assert trade.pair == "ETC/BTC"
assert trade.exchange == "bittrex"
assert trade.exchange == "binance"
assert trade.max_rate == 0.0
assert trade.stop_loss == 0.0
assert trade.initial_stop_loss == 0.0
@@ -571,15 +580,16 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
engine.execute(create_table_old)
engine.execute("create index ix_trades_is_open on trades(is_open)")
engine.execute("create index ix_trades_pair on trades(pair)")
engine.execute(insert_table_old)
with engine.begin() as connection:
connection.execute(text(create_table_old))
connection.execute(text("create index ix_trades_is_open on trades(is_open)"))
connection.execute(text("create index ix_trades_pair on trades(pair)"))
connection.execute(text(insert_table_old))
# fake previous backup
engine.execute("create table trades_bak as select * from trades")
# fake previous backup
connection.execute(text("create table trades_bak as select * from trades"))
engine.execute("create table trades_bak1 as select * from trades")
connection.execute(text("create table trades_bak1 as select * from trades"))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
@@ -619,6 +629,65 @@ def test_migrate_new(mocker, default_conf, fee, caplog):
assert orders[1].order_id == 'stop_order_id222'
assert orders[1].ft_order_side == 'stoploss'
caplog.clear()
# Drop latest column
with engine.begin() as connection:
connection.execute(text("alter table orders rename to orders_bak"))
inspector = inspect(engine)
with engine.begin() as connection:
for index in inspector.get_indexes('orders_bak'):
connection.execute(text(f"drop index {index['name']}"))
# Recreate table
connection.execute(text("""
CREATE TABLE orders (
id INTEGER NOT NULL,
ft_trade_id INTEGER,
ft_order_side VARCHAR NOT NULL,
ft_pair VARCHAR NOT NULL,
ft_is_open BOOLEAN NOT NULL,
order_id VARCHAR NOT NULL,
status VARCHAR,
symbol VARCHAR,
order_type VARCHAR,
side VARCHAR,
price FLOAT,
amount FLOAT,
filled FLOAT,
remaining FLOAT,
cost FLOAT,
order_date DATETIME,
order_filled_date DATETIME,
order_update_date DATETIME,
PRIMARY KEY (id),
CONSTRAINT _order_pair_order_id UNIQUE (ft_pair, order_id),
FOREIGN KEY(ft_trade_id) REFERENCES trades (id)
)
"""))
connection.execute(text("""
insert into orders ( id, ft_trade_id, ft_order_side, ft_pair, ft_is_open, order_id, status,
symbol, order_type, side, price, amount, filled, remaining, cost, order_date,
order_filled_date, order_update_date)
select id, ft_trade_id, ft_order_side, ft_pair, ft_is_open, order_id, status,
symbol, order_type, side, price, amount, filled, remaining, cost, order_date,
order_filled_date, order_update_date
from orders_bak
"""))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
assert log_has("trying orders_bak1", caplog)
orders = Order.query.all()
assert len(orders) == 2
assert orders[0].order_id == 'buy_order'
assert orders[0].ft_order_side == 'buy'
assert orders[1].order_id == 'stop_order_id222'
assert orders[1].ft_order_side == 'stoploss'
def test_migrate_mid_state(mocker, default_conf, fee, caplog):
"""
@@ -657,8 +726,9 @@ def test_migrate_mid_state(mocker, default_conf, fee, caplog):
mocker.patch('freqtrade.persistence.models.create_engine', lambda *args, **kwargs: engine)
# Create table using the old format
engine.execute(create_table_old)
engine.execute(insert_table_old)
with engine.begin() as connection:
connection.execute(text(create_table_old))
connection.execute(text(insert_table_old))
# Run init to test migration
init_db(default_conf['db_url'], default_conf['dry_run'])
@@ -689,7 +759,7 @@ def test_adjust_stop_loss(fee):
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
max_rate=1,
)
@@ -741,7 +811,7 @@ def test_adjust_min_max_rates(fee):
amount=5,
fee_open=fee.return_value,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
)
@@ -766,11 +836,16 @@ def test_adjust_min_max_rates(fee):
@pytest.mark.usefixtures("init_persistence")
def test_get_open(fee):
@pytest.mark.parametrize('use_db', [True, False])
def test_get_open(fee, use_db):
Trade.use_db = use_db
Trade.reset_trades()
create_mock_trades(fee)
create_mock_trades(fee, use_db)
assert len(Trade.get_open_trades()) == 4
Trade.use_db = True
@pytest.mark.usefixtures("init_persistence")
def test_to_json(default_conf, fee):
@@ -785,7 +860,7 @@ def test_to_json(default_conf, fee):
fee_close=fee.return_value,
open_date=arrow.utcnow().shift(hours=-2).datetime,
open_rate=0.123,
exchange='bittrex',
exchange='binance',
open_order_id='dry_run_buy_12345'
)
result = trade.to_json()
@@ -794,11 +869,9 @@ def test_to_json(default_conf, fee):
assert result == {'trade_id': None,
'pair': 'ETH/BTC',
'is_open': None,
'open_date_hum': '2 hours ago',
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
'open_order_id': 'dry_run_buy_12345',
'close_date_hum': None,
'close_date': None,
'close_timestamp': None,
'open_rate': 0.123,
@@ -838,7 +911,7 @@ def test_to_json(default_conf, fee):
'max_rate': None,
'strategy': None,
'timeframe': None,
'exchange': 'bittrex',
'exchange': 'binance',
}
# Simulate dry_run entries
@@ -853,17 +926,15 @@ def test_to_json(default_conf, fee):
close_date=arrow.utcnow().shift(hours=-1).datetime,
open_rate=0.123,
close_rate=0.125,
exchange='bittrex',
exchange='binance',
)
result = trade.to_json()
assert isinstance(result, dict)
assert result == {'trade_id': None,
'pair': 'XRP/BTC',
'open_date_hum': '2 hours ago',
'open_date': trade.open_date.strftime("%Y-%m-%d %H:%M:%S"),
'open_timestamp': int(trade.open_date.timestamp() * 1000),
'close_date_hum': 'an hour ago',
'close_date': trade.close_date.strftime("%Y-%m-%d %H:%M:%S"),
'close_timestamp': int(trade.close_date.timestamp() * 1000),
'open_rate': 0.123,
@@ -905,7 +976,7 @@ def test_to_json(default_conf, fee):
'sell_order_status': None,
'strategy': None,
'timeframe': None,
'exchange': 'bittrex',
'exchange': 'binance',
}
@@ -918,7 +989,7 @@ def test_stoploss_reinitialization(default_conf, fee):
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
max_rate=1,
)
@@ -928,7 +999,7 @@ def test_stoploss_reinitialization(default_conf, fee):
assert trade.stop_loss_pct == -0.05
assert trade.initial_stop_loss == 0.95
assert trade.initial_stop_loss_pct == -0.05
Trade.session.add(trade)
Trade.query.session.add(trade)
# Lower stoploss
Trade.stoploss_reinitialization(0.06)
@@ -977,7 +1048,7 @@ def test_update_fee(fee):
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
max_rate=1,
)
@@ -1016,7 +1087,7 @@ def test_fee_updated(fee):
open_date=arrow.utcnow().shift(hours=-2).datetime,
amount=10,
fee_close=fee.return_value,
exchange='bittrex',
exchange='binance',
open_rate=1,
max_rate=1,
)
@@ -1039,14 +1110,52 @@ def test_fee_updated(fee):
@pytest.mark.usefixtures("init_persistence")
def test_total_open_trades_stakes(fee):
@pytest.mark.parametrize('use_db', [True, False])
def test_total_open_trades_stakes(fee, use_db):
Trade.use_db = use_db
Trade.reset_trades()
res = Trade.total_open_trades_stakes()
assert res == 0
create_mock_trades(fee)
create_mock_trades(fee, use_db)
res = Trade.total_open_trades_stakes()
assert res == 0.004
Trade.use_db = True
@pytest.mark.usefixtures("init_persistence")
@pytest.mark.parametrize('use_db', [True, False])
def test_get_trades_proxy(fee, use_db):
Trade.use_db = use_db
Trade.reset_trades()
create_mock_trades(fee, use_db)
trades = Trade.get_trades_proxy()
assert len(trades) == 6
assert isinstance(trades[0], Trade)
trades = Trade.get_trades_proxy(is_open=True)
assert len(trades) == 4
assert trades[0].is_open
trades = Trade.get_trades_proxy(is_open=False)
assert len(trades) == 2
assert not trades[0].is_open
opendate = datetime.now(tz=timezone.utc) - timedelta(minutes=15)
assert len(Trade.get_trades_proxy(open_date=opendate)) == 3
Trade.use_db = True
def test_get_trades_backtest():
Trade.use_db = False
with pytest.raises(NotImplementedError, match=r"`Trade.get_trades\(\)` not .*"):
Trade.get_trades([])
Trade.use_db = True
@pytest.mark.usefixtures("init_persistence")
def test_get_overall_performance(fee):
@@ -1172,3 +1281,39 @@ def test_select_order(fee):
assert order.ft_order_side == 'stoploss'
order = trades[4].select_order('sell', False)
assert order is None
def test_Trade_object_idem():
assert issubclass(Trade, LocalTrade)
trade = vars(Trade)
localtrade = vars(LocalTrade)
excludes = (
'delete',
'session',
'commit',
'query',
'open_date',
'get_best_pair',
'get_overall_performance',
'total_open_trades_stakes',
'get_sold_trades_without_assigned_fees',
'get_open_trades_without_assigned_fees',
'get_open_order_trades',
'get_trades',
)
# Parent (LocalTrade) should have the same attributes
for item in trade:
# Exclude private attributes and open_date (as it's not assigned a default)
if (not item.startswith('_') and item not in excludes):
assert item in localtrade
# Fails if only a column is added without corresponding parent field
for item in localtrade:
if (not item.startswith('__')
and item not in ('trades', 'trades_open', 'total_profit')
and type(getattr(LocalTrade, item)) not in (property, FunctionType)):
assert item in trade

15
tests/test_plotting.py
View File

@@ -331,13 +331,13 @@ def test_generate_profit_graph(testdatadir):
trades = trades[trades['pair'].isin(pairs)]
fig = generate_profit_graph(pairs, data, trades, timeframe="5m")
fig = generate_profit_graph(pairs, data, trades, timeframe="5m", stake_currency='BTC')
assert isinstance(fig, go.Figure)
assert fig.layout.title.text == "Freqtrade Profit plot"
assert fig.layout.yaxis.title.text == "Price"
assert fig.layout.yaxis2.title.text == "Profit"
assert fig.layout.yaxis3.title.text == "Profit"
assert fig.layout.yaxis2.title.text == "Profit BTC"
assert fig.layout.yaxis3.title.text == "Profit BTC"
figure = fig.layout.figure
assert len(figure.data) == 5
@@ -356,7 +356,8 @@ def test_generate_profit_graph(testdatadir):
with pytest.raises(OperationalException, match=r"No trades found.*"):
# Pair cannot be empty - so it's an empty dataframe.
generate_profit_graph(pairs, data, trades.loc[trades['pair'].isnull()], timeframe="5m")
generate_profit_graph(pairs, data, trades.loc[trades['pair'].isnull()], timeframe="5m",
stake_currency='BTC')
def test_start_plot_dataframe(mocker):
@@ -459,7 +460,11 @@ def test_plot_profit(default_conf, mocker, testdatadir):
assert store_mock.call_count == 1
assert profit_mock.call_args_list[0][0][0] == default_conf['pairs']
assert store_mock.call_args_list[0][1]['auto_open'] is True
assert store_mock.call_args_list[0][1]['auto_open'] is False
del default_conf['timeframe']
with pytest.raises(OperationalException, match=r"Timeframe must be set.*--timeframe.*"):
plot_profit(default_conf)
@pytest.mark.parametrize("ind1,ind2,plot_conf,exp", [

7
tests/test_timerange.py
View File

@@ -3,6 +3,7 @@ import arrow
import pytest
from freqtrade.configuration import TimeRange
from freqtrade.exceptions import OperationalException
def test_parse_timerange_incorrect():
@@ -27,9 +28,13 @@ def test_parse_timerange_incorrect():
timerange = TimeRange.parse_timerange('-1231006505000')
assert TimeRange(None, 'date', 0, 1231006505) == timerange
with pytest.raises(Exception, match=r'Incorrect syntax.*'):
with pytest.raises(OperationalException, match=r'Incorrect syntax.*'):
TimeRange.parse_timerange('-')
with pytest.raises(OperationalException,
match=r'Start date is after stop date for timerange.*'):
TimeRange.parse_timerange('20100523-20100522')
def test_subtract_start():
x = TimeRange('date', 'date', 1274486400, 1438214400)

66
tests/test_wallets.py
View File

@@ -1,7 +1,12 @@
# pragma pylint: disable=missing-docstring
from copy import deepcopy
from unittest.mock import MagicMock
from tests.conftest import get_patched_freqtradebot
import pytest
from freqtrade.constants import UNLIMITED_STAKE_AMOUNT
from freqtrade.exceptions import DependencyException
from tests.conftest import get_patched_freqtradebot, patch_wallet
def test_sync_wallet_at_boot(mocker, default_conf):
@@ -106,3 +111,62 @@ def test_sync_wallet_missing_data(mocker, default_conf):
assert freqtrade.wallets._wallets['GAS'].used is None
assert freqtrade.wallets._wallets['GAS'].total == 0.260739
assert freqtrade.wallets.get_free('GAS') == 0.260739
def test_get_trade_stake_amount_no_stake_amount(default_conf, mocker) -> None:
patch_wallet(mocker, free=default_conf['stake_amount'] * 0.5)
freqtrade = get_patched_freqtradebot(mocker, default_conf)
with pytest.raises(DependencyException, match=r'.*stake amount.*'):
freqtrade.wallets.get_trade_stake_amount('ETH/BTC')
@pytest.mark.parametrize("balance_ratio,result1,result2", [
(1, 50, 66.66666),
(0.99, 49.5, 66.0),
(0.50, 25, 33.3333),
])
def test_get_trade_stake_amount_unlimited_amount(default_conf, ticker, balance_ratio, result1,
result2, limit_buy_order_open,
fee, mocker) -> None:
mocker.patch.multiple(
'freqtrade.exchange.Exchange',
fetch_ticker=ticker,
buy=MagicMock(return_value=limit_buy_order_open),
get_fee=fee
)
conf = deepcopy(default_conf)
conf['stake_amount'] = UNLIMITED_STAKE_AMOUNT
conf['dry_run_wallet'] = 100
conf['max_open_trades'] = 2
conf['tradable_balance_ratio'] = balance_ratio
freqtrade = get_patched_freqtradebot(mocker, conf)
# no open trades, order amount should be 'balance / max_open_trades'
result = freqtrade.wallets.get_trade_stake_amount('ETH/USDT')
assert result == result1
# create one trade, order amount should be 'balance / (max_open_trades - num_open_trades)'
freqtrade.execute_buy('ETH/USDT', result)
result = freqtrade.wallets.get_trade_stake_amount('LTC/USDT')
assert result == result1
# create 2 trades, order amount should be None
freqtrade.execute_buy('LTC/BTC', result)
result = freqtrade.wallets.get_trade_stake_amount('XRP/USDT')
assert result == 0
freqtrade.config['max_open_trades'] = 3
freqtrade.config['dry_run_wallet'] = 200
freqtrade.wallets.start_cap = 200
result = freqtrade.wallets.get_trade_stake_amount('XRP/USDT')
assert round(result, 4) == round(result2, 4)
# set max_open_trades = None, so do not trade
freqtrade.config['max_open_trades'] = 0
result = freqtrade.wallets.get_trade_stake_amount('NEO/USDT')
assert result == 0

2
tests/test_worker.py
View File

@@ -3,7 +3,7 @@ import time
from unittest.mock import MagicMock, PropertyMock
from freqtrade.data.dataprovider import DataProvider
from freqtrade.state import State
from freqtrade.enums import State
from freqtrade.worker import Worker
from tests.conftest import get_patched_worker, log_has, log_has_re

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tests/testdata/strategy_SampleStrategy.fthypt vendored Normal file
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