Merge branch 'develop' into interface_ordertimeoutcallback
This commit is contained in:
@@ -217,8 +217,9 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 9 active markets: "
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"BLK/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/USD, NEO/BTC, TKN/BTC, XLTCUSDT, XRP/BTC.\n"
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assert ("Exchange Bittrex has 10 active markets: "
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"BLK/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/ETH, LTC/USD, NEO/BTC, "
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"TKN/BTC, XLTCUSDT, XRP/BTC.\n"
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in captured.out)
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patch_exchange(mocker, api_mock=api_mock, id="binance")
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@@ -231,7 +232,7 @@ def test_list_markets(mocker, markets, capsys):
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pargs['config'] = None
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start_list_markets(pargs, False)
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captured = capsys.readouterr()
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assert re.match("\nExchange Binance has 9 active markets:\n",
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assert re.match("\nExchange Binance has 10 active markets:\n",
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captured.out)
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patch_exchange(mocker, api_mock=api_mock, id="bittrex")
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@@ -243,8 +244,8 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 11 markets: "
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"BLK/BTC, BTT/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/USD, LTC/USDT, NEO/BTC, "
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assert ("Exchange Bittrex has 12 markets: "
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"BLK/BTC, BTT/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/ETH, LTC/USD, LTC/USDT, NEO/BTC, "
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"TKN/BTC, XLTCUSDT, XRP/BTC.\n"
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in captured.out)
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@@ -256,8 +257,8 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), True)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 8 active pairs: "
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"BLK/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/USD, NEO/BTC, TKN/BTC, XRP/BTC.\n"
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assert ("Exchange Bittrex has 9 active pairs: "
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"BLK/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/ETH, LTC/USD, NEO/BTC, TKN/BTC, XRP/BTC.\n"
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in captured.out)
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# Test list-pairs subcommand with --all: all pairs
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@@ -268,8 +269,8 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), True)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 10 pairs: "
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"BLK/BTC, BTT/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/USD, LTC/USDT, NEO/BTC, "
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assert ("Exchange Bittrex has 11 pairs: "
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"BLK/BTC, BTT/BTC, ETH/BTC, ETH/USDT, LTC/BTC, LTC/ETH, LTC/USD, LTC/USDT, NEO/BTC, "
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"TKN/BTC, XRP/BTC.\n"
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in captured.out)
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@@ -282,8 +283,8 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 5 active markets with ETH, LTC as base currencies: "
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"ETH/BTC, ETH/USDT, LTC/BTC, LTC/USD, XLTCUSDT.\n"
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assert ("Exchange Bittrex has 6 active markets with ETH, LTC as base currencies: "
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"ETH/BTC, ETH/USDT, LTC/BTC, LTC/ETH, LTC/USD, XLTCUSDT.\n"
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in captured.out)
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# active markets, base=LTC
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@@ -295,8 +296,8 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 3 active markets with LTC as base currency: "
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"LTC/BTC, LTC/USD, XLTCUSDT.\n"
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assert ("Exchange Bittrex has 4 active markets with LTC as base currency: "
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"LTC/BTC, LTC/ETH, LTC/USD, XLTCUSDT.\n"
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in captured.out)
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# active markets, quote=USDT, USD
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@@ -384,7 +385,7 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ("Exchange Bittrex has 9 active markets:\n"
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assert ("Exchange Bittrex has 10 active markets:\n"
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in captured.out)
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# Test tabular output, no markets found
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@@ -407,7 +408,7 @@ def test_list_markets(mocker, markets, capsys):
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]
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start_list_markets(get_args(args), False)
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captured = capsys.readouterr()
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assert ('["BLK/BTC","ETH/BTC","ETH/USDT","LTC/BTC","LTC/USD","NEO/BTC",'
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assert ('["BLK/BTC","ETH/BTC","ETH/USDT","LTC/BTC","LTC/ETH","LTC/USD","NEO/BTC",'
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'"TKN/BTC","XLTCUSDT","XRP/BTC"]'
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in captured.out)
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@@ -446,11 +447,6 @@ def test_create_datadir_failed(caplog):
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def test_create_datadir(caplog, mocker):
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# Ensure that caplog is empty before starting ...
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# Should prevent random failures.
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caplog.clear()
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# Added assert here to analyze random test-failures ...
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assert len(caplog.record_tuples) == 0
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cud = mocker.patch("freqtrade.commands.deploy_commands.create_userdata_dir", MagicMock())
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csf = mocker.patch("freqtrade.commands.deploy_commands.copy_sample_files", MagicMock())
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@@ -463,7 +459,6 @@ def test_create_datadir(caplog, mocker):
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assert cud.call_count == 1
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assert csf.call_count == 1
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assert len(caplog.record_tuples) == 0
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def test_start_new_strategy(mocker, caplog):
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@@ -778,6 +773,20 @@ def test_hyperopt_list(mocker, capsys, hyperopt_results):
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assert all(x not in captured.out
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
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" 11/12", " 12/12"])
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args = [
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"hyperopt-list",
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"--profitable"
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]
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pargs = get_args(args)
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pargs['config'] = None
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start_hyperopt_list(pargs)
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captured = capsys.readouterr()
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assert all(x in captured.out
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for x in [" 2/12", " 10/12", "Best result:", "Buy hyperspace params",
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"Sell hyperspace params", "ROI table", "Stoploss"])
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assert all(x not in captured.out
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 6/12", " 7/12", " 8/12", " 9/12",
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" 11/12", " 12/12"])
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args = [
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"hyperopt-list",
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"--no-details",
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@@ -893,6 +902,21 @@ def test_hyperopt_list(mocker, capsys, hyperopt_results):
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assert all(x not in captured.out
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for x in [" 1/12", " 3/12", " 4/12", " 5/12", " 7/12", " 8/12"
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" 9/12", " 10/12", " 11/12", " 12/12"])
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args = [
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"hyperopt-list",
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"--no-details",
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"--export-csv", "test_file.csv"
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]
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pargs = get_args(args)
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pargs['config'] = None
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start_hyperopt_list(pargs)
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captured = capsys.readouterr()
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assert all(x in captured.out
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for x in ["CSV-File created!"])
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f = Path("test_file.csv")
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assert 'Best,1,2,-1.25%,-0.00125625,,-2.51,"3,930.0 m",0.43662' in f.read_text()
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assert f.is_file()
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f.unlink()
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def test_hyperopt_show(mocker, capsys, hyperopt_results):
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|
@@ -15,7 +15,7 @@ from telegram import Chat, Message, Update
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from freqtrade import constants, persistence
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from freqtrade.commands import Arguments
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from freqtrade.data.converter import parse_ticker_dataframe
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from freqtrade.data.converter import ohlcv_to_dataframe
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from freqtrade.edge import Edge, PairInfo
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from freqtrade.exchange import Exchange
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from freqtrade.freqtradebot import FreqtradeBot
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@@ -167,23 +167,23 @@ def patch_get_signal(freqtrade: FreqtradeBot, value=(True, False)) -> None:
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|
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|
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@pytest.fixture(autouse=True)
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def patch_coinmarketcap(mocker) -> None:
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def patch_coingekko(mocker) -> None:
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"""
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Mocker to coinmarketcap to speed up tests
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:param mocker: mocker to patch coinmarketcap class
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Mocker to coingekko to speed up tests
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:param mocker: mocker to patch coingekko class
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:return: None
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"""
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tickermock = MagicMock(return_value={'price_usd': 12345.0})
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listmock = MagicMock(return_value={'data': [{'id': 1, 'name': 'Bitcoin', 'symbol': 'BTC',
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'website_slug': 'bitcoin'},
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{'id': 1027, 'name': 'Ethereum', 'symbol': 'ETH',
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'website_slug': 'ethereum'}
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]})
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tickermock = MagicMock(return_value={'bitcoin': {'usd': 12345.0}, 'ethereum': {'usd': 12345.0}})
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listmock = MagicMock(return_value=[{'id': 'bitcoin', 'name': 'Bitcoin', 'symbol': 'btc',
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'website_slug': 'bitcoin'},
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{'id': 'ethereum', 'name': 'Ethereum', 'symbol': 'eth',
|
||||
'website_slug': 'ethereum'}
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||||
])
|
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mocker.patch.multiple(
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'freqtrade.rpc.fiat_convert.Market',
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ticker=tickermock,
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listings=listmock,
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'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
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get_price=tickermock,
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get_coins_list=listmock,
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||||
|
||||
)
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@@ -575,7 +575,34 @@ def get_markets():
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}
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},
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'info': {},
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}
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||||
},
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'LTC/ETH': {
|
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'id': 'LTCETH',
|
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'symbol': 'LTC/ETH',
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'base': 'LTC',
|
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'quote': 'ETH',
|
||||
'active': True,
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||||
'precision': {
|
||||
'base': 8,
|
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'quote': 8,
|
||||
'amount': 3,
|
||||
'price': 5
|
||||
},
|
||||
'limits': {
|
||||
'amount': {
|
||||
'min': 0.001,
|
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'max': 10000000.0
|
||||
},
|
||||
'price': {
|
||||
'min': 1e-05,
|
||||
'max': 1000.0
|
||||
},
|
||||
'cost': {
|
||||
'min': 0.01,
|
||||
'max': None
|
||||
}
|
||||
},
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -822,15 +849,15 @@ def order_book_l2():
|
||||
|
||||
|
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@pytest.fixture
|
||||
def ticker_history_list():
|
||||
def ohlcv_history_list():
|
||||
return [
|
||||
[
|
||||
1511686200000, # unix timestamp ms
|
||||
8.794e-05, # open
|
||||
8.948e-05, # high
|
||||
8.794e-05, # low
|
||||
8.88e-05, # close
|
||||
0.0877869, # volume (in quote currency)
|
||||
8.794e-05, # open
|
||||
8.948e-05, # high
|
||||
8.794e-05, # low
|
||||
8.88e-05, # close
|
||||
0.0877869, # volume (in quote currency)
|
||||
],
|
||||
[
|
||||
1511686500000,
|
||||
@@ -852,8 +879,9 @@ def ticker_history_list():
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def ticker_history(ticker_history_list):
|
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return parse_ticker_dataframe(ticker_history_list, "5m", pair="UNITTEST/BTC", fill_missing=True)
|
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def ohlcv_history(ohlcv_history_list):
|
||||
return ohlcv_to_dataframe(ohlcv_history_list, "5m", pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
@@ -1168,8 +1196,8 @@ def tickers():
|
||||
@pytest.fixture
|
||||
def result(testdatadir):
|
||||
with (testdatadir / 'UNITTEST_BTC-1m.json').open('r') as data_file:
|
||||
return parse_ticker_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
return ohlcv_to_dataframe(json.load(data_file), '1m', pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
|
||||
|
||||
@pytest.fixture(scope="function")
|
||||
|
@@ -1,16 +1,19 @@
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
from arrow import Arrow
|
||||
from pandas import DataFrame, DateOffset, to_datetime
|
||||
from pandas import DataFrame, DateOffset, Timestamp, to_datetime
|
||||
|
||||
from freqtrade.configuration import TimeRange
|
||||
from freqtrade.data.btanalysis import (BT_DATA_COLUMNS,
|
||||
combine_tickers_with_mean,
|
||||
analyze_trade_parallelism,
|
||||
calculate_max_drawdown,
|
||||
combine_dataframes_with_mean,
|
||||
create_cum_profit,
|
||||
extract_trades_of_period,
|
||||
load_backtest_data, load_trades,
|
||||
load_trades_from_db, analyze_trade_parallelism)
|
||||
load_trades_from_db)
|
||||
from freqtrade.data.history import load_data, load_pair_history
|
||||
from tests.test_persistence import create_mock_trades
|
||||
|
||||
@@ -109,7 +112,7 @@ def test_load_trades(default_conf, mocker):
|
||||
|
||||
db_mock.reset_mock()
|
||||
bt_mock.reset_mock()
|
||||
default_conf['exportfilename'] = "testfile.json"
|
||||
default_conf['exportfilename'] = Path("testfile.json")
|
||||
load_trades("file",
|
||||
db_url=default_conf.get('db_url'),
|
||||
exportfilename=default_conf.get('exportfilename'),)
|
||||
@@ -118,13 +121,10 @@ def test_load_trades(default_conf, mocker):
|
||||
assert bt_mock.call_count == 1
|
||||
|
||||
|
||||
def test_combine_tickers_with_mean(testdatadir):
|
||||
def test_combine_dataframes_with_mean(testdatadir):
|
||||
pairs = ["ETH/BTC", "ADA/BTC"]
|
||||
tickers = load_data(datadir=testdatadir,
|
||||
pairs=pairs,
|
||||
timeframe='5m'
|
||||
)
|
||||
df = combine_tickers_with_mean(tickers)
|
||||
data = load_data(datadir=testdatadir, pairs=pairs, timeframe='5m')
|
||||
df = combine_dataframes_with_mean(data)
|
||||
assert isinstance(df, DataFrame)
|
||||
assert "ETH/BTC" in df.columns
|
||||
assert "ADA/BTC" in df.columns
|
||||
@@ -163,3 +163,17 @@ def test_create_cum_profit1(testdatadir):
|
||||
assert "cum_profits" in cum_profits.columns
|
||||
assert cum_profits.iloc[0]['cum_profits'] == 0
|
||||
assert cum_profits.iloc[-1]['cum_profits'] == 0.0798005
|
||||
|
||||
|
||||
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)
|
||||
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')
|
||||
with pytest.raises(ValueError, match='Trade dataframe empty.'):
|
||||
drawdown, h, low = calculate_max_drawdown(DataFrame())
|
||||
|
@@ -5,9 +5,12 @@ from freqtrade.configuration.timerange import TimeRange
|
||||
from freqtrade.data.converter import (convert_ohlcv_format,
|
||||
convert_trades_format,
|
||||
ohlcv_fill_up_missing_data,
|
||||
parse_ticker_dataframe, trim_dataframe)
|
||||
from freqtrade.data.history import (get_timerange, load_data,
|
||||
load_pair_history, validate_backtest_data)
|
||||
ohlcv_to_dataframe,
|
||||
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
|
||||
|
||||
@@ -16,15 +19,15 @@ def test_dataframe_correct_columns(result):
|
||||
assert result.columns.tolist() == ['date', 'open', 'high', 'low', 'close', 'volume']
|
||||
|
||||
|
||||
def test_parse_ticker_dataframe(ticker_history_list, caplog):
|
||||
def test_ohlcv_to_dataframe(ohlcv_history_list, caplog):
|
||||
columns = ['date', 'open', 'high', 'low', 'close', 'volume']
|
||||
|
||||
caplog.set_level(logging.DEBUG)
|
||||
# Test file with BV data
|
||||
dataframe = parse_ticker_dataframe(ticker_history_list, '5m',
|
||||
pair="UNITTEST/BTC", fill_missing=True)
|
||||
dataframe = ohlcv_to_dataframe(ohlcv_history_list, '5m', pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
assert dataframe.columns.tolist() == columns
|
||||
assert log_has('Parsing tickerlist to dataframe', caplog)
|
||||
assert log_has('Converting candle (OHLCV) data to dataframe for pair UNITTEST/BTC.', caplog)
|
||||
|
||||
|
||||
def test_ohlcv_fill_up_missing_data(testdatadir, caplog):
|
||||
@@ -84,7 +87,8 @@ def test_ohlcv_fill_up_missing_data2(caplog):
|
||||
]
|
||||
|
||||
# Generate test-data without filling missing
|
||||
data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC", fill_missing=False)
|
||||
data = ohlcv_to_dataframe(ticks, timeframe, pair="UNITTEST/BTC",
|
||||
fill_missing=False)
|
||||
assert len(data) == 3
|
||||
caplog.set_level(logging.DEBUG)
|
||||
data2 = ohlcv_fill_up_missing_data(data, timeframe, "UNITTEST/BTC")
|
||||
@@ -140,14 +144,14 @@ def test_ohlcv_drop_incomplete(caplog):
|
||||
]
|
||||
]
|
||||
caplog.set_level(logging.DEBUG)
|
||||
data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC",
|
||||
fill_missing=False, drop_incomplete=False)
|
||||
data = ohlcv_to_dataframe(ticks, timeframe, pair="UNITTEST/BTC",
|
||||
fill_missing=False, drop_incomplete=False)
|
||||
assert len(data) == 4
|
||||
assert not log_has("Dropping last candle", caplog)
|
||||
|
||||
# Drop last candle
|
||||
data = parse_ticker_dataframe(ticks, timeframe, pair="UNITTEST/BTC",
|
||||
fill_missing=False, drop_incomplete=True)
|
||||
data = ohlcv_to_dataframe(ticks, timeframe, pair="UNITTEST/BTC",
|
||||
fill_missing=False, drop_incomplete=True)
|
||||
assert len(data) == 3
|
||||
|
||||
assert log_has("Dropping last candle", caplog)
|
||||
|
@@ -7,19 +7,19 @@ from freqtrade.state import RunMode
|
||||
from tests.conftest import get_patched_exchange
|
||||
|
||||
|
||||
def test_ohlcv(mocker, default_conf, ticker_history):
|
||||
def test_ohlcv(mocker, default_conf, ohlcv_history):
|
||||
default_conf["runmode"] = RunMode.DRY_RUN
|
||||
timeframe = default_conf["ticker_interval"]
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
exchange._klines[("XRP/BTC", timeframe)] = ticker_history
|
||||
exchange._klines[("UNITTEST/BTC", timeframe)] = ticker_history
|
||||
exchange._klines[("XRP/BTC", timeframe)] = ohlcv_history
|
||||
exchange._klines[("UNITTEST/BTC", timeframe)] = ohlcv_history
|
||||
|
||||
dp = DataProvider(default_conf, exchange)
|
||||
assert dp.runmode == RunMode.DRY_RUN
|
||||
assert ticker_history.equals(dp.ohlcv("UNITTEST/BTC", timeframe))
|
||||
assert ohlcv_history.equals(dp.ohlcv("UNITTEST/BTC", timeframe))
|
||||
assert isinstance(dp.ohlcv("UNITTEST/BTC", timeframe), DataFrame)
|
||||
assert dp.ohlcv("UNITTEST/BTC", timeframe) is not ticker_history
|
||||
assert dp.ohlcv("UNITTEST/BTC", timeframe, copy=False) is ticker_history
|
||||
assert dp.ohlcv("UNITTEST/BTC", timeframe) is not ohlcv_history
|
||||
assert dp.ohlcv("UNITTEST/BTC", timeframe, copy=False) is ohlcv_history
|
||||
assert not dp.ohlcv("UNITTEST/BTC", timeframe).empty
|
||||
assert dp.ohlcv("NONESENSE/AAA", timeframe).empty
|
||||
|
||||
@@ -37,8 +37,8 @@ def test_ohlcv(mocker, default_conf, ticker_history):
|
||||
assert dp.ohlcv("UNITTEST/BTC", timeframe).empty
|
||||
|
||||
|
||||
def test_historic_ohlcv(mocker, default_conf, ticker_history):
|
||||
historymock = MagicMock(return_value=ticker_history)
|
||||
def test_historic_ohlcv(mocker, default_conf, ohlcv_history):
|
||||
historymock = MagicMock(return_value=ohlcv_history)
|
||||
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
|
||||
|
||||
dp = DataProvider(default_conf, None)
|
||||
@@ -48,18 +48,18 @@ def test_historic_ohlcv(mocker, default_conf, ticker_history):
|
||||
assert historymock.call_args_list[0][1]["timeframe"] == "5m"
|
||||
|
||||
|
||||
def test_get_pair_dataframe(mocker, default_conf, ticker_history):
|
||||
def test_get_pair_dataframe(mocker, default_conf, ohlcv_history):
|
||||
default_conf["runmode"] = RunMode.DRY_RUN
|
||||
ticker_interval = default_conf["ticker_interval"]
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
|
||||
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
|
||||
exchange._klines[("XRP/BTC", ticker_interval)] = ohlcv_history
|
||||
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ohlcv_history
|
||||
|
||||
dp = DataProvider(default_conf, exchange)
|
||||
assert dp.runmode == RunMode.DRY_RUN
|
||||
assert ticker_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval))
|
||||
assert ohlcv_history.equals(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval))
|
||||
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
|
||||
assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval) is not ticker_history
|
||||
assert dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval) is not ohlcv_history
|
||||
assert not dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval).empty
|
||||
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
|
||||
|
||||
@@ -73,7 +73,7 @@ def test_get_pair_dataframe(mocker, default_conf, ticker_history):
|
||||
assert isinstance(dp.get_pair_dataframe("UNITTEST/BTC", ticker_interval), DataFrame)
|
||||
assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
|
||||
|
||||
historymock = MagicMock(return_value=ticker_history)
|
||||
historymock = MagicMock(return_value=ohlcv_history)
|
||||
mocker.patch("freqtrade.data.dataprovider.load_pair_history", historymock)
|
||||
default_conf["runmode"] = RunMode.BACKTEST
|
||||
dp = DataProvider(default_conf, exchange)
|
||||
@@ -82,11 +82,11 @@ def test_get_pair_dataframe(mocker, default_conf, ticker_history):
|
||||
# assert dp.get_pair_dataframe("NONESENSE/AAA", ticker_interval).empty
|
||||
|
||||
|
||||
def test_available_pairs(mocker, default_conf, ticker_history):
|
||||
def test_available_pairs(mocker, default_conf, ohlcv_history):
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
ticker_interval = default_conf["ticker_interval"]
|
||||
exchange._klines[("XRP/BTC", ticker_interval)] = ticker_history
|
||||
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ticker_history
|
||||
exchange._klines[("XRP/BTC", ticker_interval)] = ohlcv_history
|
||||
exchange._klines[("UNITTEST/BTC", ticker_interval)] = ohlcv_history
|
||||
|
||||
dp = DataProvider(default_conf, exchange)
|
||||
assert len(dp.available_pairs) == 2
|
||||
@@ -96,7 +96,7 @@ def test_available_pairs(mocker, default_conf, ticker_history):
|
||||
]
|
||||
|
||||
|
||||
def test_refresh(mocker, default_conf, ticker_history):
|
||||
def test_refresh(mocker, default_conf, ohlcv_history):
|
||||
refresh_mock = MagicMock()
|
||||
mocker.patch("freqtrade.exchange.Exchange.refresh_latest_ohlcv", refresh_mock)
|
||||
|
||||
|
@@ -12,7 +12,7 @@ from pandas import DataFrame
|
||||
from pandas.testing import assert_frame_equal
|
||||
|
||||
from freqtrade.configuration import TimeRange
|
||||
from freqtrade.data.converter import parse_ticker_dataframe
|
||||
from freqtrade.data.converter import ohlcv_to_dataframe
|
||||
from freqtrade.data.history.history_utils import (
|
||||
_download_pair_history, _download_trades_history,
|
||||
_load_cached_data_for_updating, convert_trades_to_ohlcv, get_timerange,
|
||||
@@ -63,7 +63,7 @@ def _clean_test_file(file: Path) -> None:
|
||||
file_swp.rename(file)
|
||||
|
||||
|
||||
def test_load_data_30min_ticker(mocker, caplog, default_conf, testdatadir) -> None:
|
||||
def test_load_data_30min_timeframe(mocker, caplog, default_conf, testdatadir) -> None:
|
||||
ld = load_pair_history(pair='UNITTEST/BTC', timeframe='30m', datadir=testdatadir)
|
||||
assert isinstance(ld, DataFrame)
|
||||
assert not log_has(
|
||||
@@ -72,7 +72,7 @@ def test_load_data_30min_ticker(mocker, caplog, default_conf, testdatadir) -> No
|
||||
)
|
||||
|
||||
|
||||
def test_load_data_7min_ticker(mocker, caplog, default_conf, testdatadir) -> None:
|
||||
def test_load_data_7min_timeframe(mocker, caplog, default_conf, testdatadir) -> None:
|
||||
ld = load_pair_history(pair='UNITTEST/BTC', timeframe='7m', datadir=testdatadir)
|
||||
assert isinstance(ld, DataFrame)
|
||||
assert ld.empty
|
||||
@@ -82,8 +82,8 @@ def test_load_data_7min_ticker(mocker, caplog, default_conf, testdatadir) -> Non
|
||||
)
|
||||
|
||||
|
||||
def test_load_data_1min_ticker(ticker_history, mocker, caplog, testdatadir) -> None:
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ticker_history)
|
||||
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'])
|
||||
@@ -110,12 +110,12 @@ def test_load_data_startup_candles(mocker, caplog, default_conf, testdatadir) ->
|
||||
assert ltfmock.call_args_list[0][1]['timerange'].startts == timerange.startts - 20 * 60
|
||||
|
||||
|
||||
def test_load_data_with_new_pair_1min(ticker_history_list, mocker, caplog,
|
||||
def test_load_data_with_new_pair_1min(ohlcv_history_list, mocker, caplog,
|
||||
default_conf, testdatadir) -> None:
|
||||
"""
|
||||
Test load_pair_history() with 1 min ticker
|
||||
Test load_pair_history() with 1 min timeframe
|
||||
"""
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ticker_history_list)
|
||||
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'
|
||||
|
||||
@@ -188,8 +188,8 @@ def test_load_cached_data_for_updating(mocker, testdatadir) -> None:
|
||||
with open(test_filename, "rt") as file:
|
||||
test_data = json.load(file)
|
||||
|
||||
test_data_df = parse_ticker_dataframe(test_data, '1m', 'UNITTEST/BTC',
|
||||
fill_missing=False, drop_incomplete=False)
|
||||
test_data_df = ohlcv_to_dataframe(test_data, '1m', 'UNITTEST/BTC',
|
||||
fill_missing=False, drop_incomplete=False)
|
||||
# now = last cached item + 1 hour
|
||||
now_ts = test_data[-1][0] / 1000 + 60 * 60
|
||||
mocker.patch('arrow.utcnow', return_value=arrow.get(now_ts))
|
||||
@@ -230,8 +230,8 @@ def test_load_cached_data_for_updating(mocker, testdatadir) -> None:
|
||||
assert start_ts is None
|
||||
|
||||
|
||||
def test_download_pair_history(ticker_history_list, mocker, default_conf, testdatadir) -> None:
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv', return_value=ticker_history_list)
|
||||
def test_download_pair_history(ohlcv_history_list, mocker, default_conf, testdatadir) -> 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'
|
||||
@@ -293,7 +293,7 @@ def test_download_pair_history2(mocker, default_conf, testdatadir) -> None:
|
||||
assert json_dump_mock.call_count == 2
|
||||
|
||||
|
||||
def test_download_backtesting_data_exception(ticker_history, mocker, caplog,
|
||||
def test_download_backtesting_data_exception(ohlcv_history, mocker, caplog,
|
||||
default_conf, testdatadir) -> None:
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_historic_ohlcv',
|
||||
side_effect=Exception('File Error'))
|
||||
@@ -321,15 +321,15 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
|
||||
# Make sure we start fresh - test missing data at start
|
||||
start = arrow.get('2018-01-01T00:00:00')
|
||||
end = arrow.get('2018-01-11T00:00:00')
|
||||
tickerdata = load_data(testdatadir, '5m', ['UNITTEST/BTC'], startup_candles=20,
|
||||
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
|
||||
data = load_data(testdatadir, '5m', ['UNITTEST/BTC'], startup_candles=20,
|
||||
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
|
||||
assert log_has(
|
||||
'Using indicator startup period: 20 ...', caplog
|
||||
)
|
||||
# timedifference in 5 minutes
|
||||
td = ((end - start).total_seconds() // 60 // 5) + 1
|
||||
assert td != len(tickerdata['UNITTEST/BTC'])
|
||||
start_real = tickerdata['UNITTEST/BTC'].iloc[0, 0]
|
||||
assert td != len(data['UNITTEST/BTC'])
|
||||
start_real = data['UNITTEST/BTC'].iloc[0, 0]
|
||||
assert log_has(f'Missing data at start for pair '
|
||||
f'UNITTEST/BTC, data starts at {start_real.strftime("%Y-%m-%d %H:%M:%S")}',
|
||||
caplog)
|
||||
@@ -337,14 +337,14 @@ def test_load_partial_missing(testdatadir, caplog) -> None:
|
||||
caplog.clear()
|
||||
start = arrow.get('2018-01-10T00:00:00')
|
||||
end = arrow.get('2018-02-20T00:00:00')
|
||||
tickerdata = load_data(datadir=testdatadir, timeframe='5m', pairs=['UNITTEST/BTC'],
|
||||
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
|
||||
data = load_data(datadir=testdatadir, timeframe='5m', pairs=['UNITTEST/BTC'],
|
||||
timerange=TimeRange('date', 'date', start.timestamp, end.timestamp))
|
||||
# timedifference in 5 minutes
|
||||
td = ((end - start).total_seconds() // 60 // 5) + 1
|
||||
assert td != len(tickerdata['UNITTEST/BTC'])
|
||||
assert td != len(data['UNITTEST/BTC'])
|
||||
|
||||
# Shift endtime with +5 - as last candle is dropped (partial candle)
|
||||
end_real = arrow.get(tickerdata['UNITTEST/BTC'].iloc[-1, 0]).shift(minutes=5)
|
||||
end_real = arrow.get(data['UNITTEST/BTC'].iloc[-1, 0]).shift(minutes=5)
|
||||
assert log_has(f'Missing data at end for pair '
|
||||
f'UNITTEST/BTC, data ends at {end_real.strftime("%Y-%m-%d %H:%M:%S")}',
|
||||
caplog)
|
||||
@@ -403,7 +403,7 @@ def test_get_timerange(default_conf, mocker, testdatadir) -> None:
|
||||
default_conf.update({'strategy': 'DefaultStrategy'})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
data = strategy.tickerdata_to_dataframe(
|
||||
data = strategy.ohlcvdata_to_dataframe(
|
||||
load_data(
|
||||
datadir=testdatadir,
|
||||
timeframe='1m',
|
||||
@@ -421,7 +421,7 @@ def test_validate_backtest_data_warn(default_conf, mocker, caplog, testdatadir)
|
||||
default_conf.update({'strategy': 'DefaultStrategy'})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
data = strategy.tickerdata_to_dataframe(
|
||||
data = strategy.ohlcvdata_to_dataframe(
|
||||
load_data(
|
||||
datadir=testdatadir,
|
||||
timeframe='1m',
|
||||
@@ -446,7 +446,7 @@ def test_validate_backtest_data(default_conf, mocker, caplog, testdatadir) -> No
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
timerange = TimeRange('index', 'index', 200, 250)
|
||||
data = strategy.tickerdata_to_dataframe(
|
||||
data = strategy.ohlcvdata_to_dataframe(
|
||||
load_data(
|
||||
datadir=testdatadir,
|
||||
timeframe='5m',
|
||||
|
@@ -11,7 +11,7 @@ import pytest
|
||||
from pandas import DataFrame, to_datetime
|
||||
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.data.converter import parse_ticker_dataframe
|
||||
from freqtrade.data.converter import ohlcv_to_dataframe
|
||||
from freqtrade.edge import Edge, PairInfo
|
||||
from freqtrade.strategy.interface import SellType
|
||||
from tests.conftest import get_patched_freqtradebot, log_has
|
||||
@@ -26,7 +26,7 @@ from tests.optimize import (BTContainer, BTrade, _build_backtest_dataframe,
|
||||
# 5) Stoploss and sell are hit. should sell on stoploss
|
||||
####################################################################
|
||||
|
||||
ticker_start_time = arrow.get(2018, 10, 3)
|
||||
tests_start_time = arrow.get(2018, 10, 3)
|
||||
ticker_interval_in_minute = 60
|
||||
_ohlc = {'date': 0, 'buy': 1, 'open': 2, 'high': 3, 'low': 4, 'close': 5, 'sell': 6, 'volume': 7}
|
||||
|
||||
@@ -43,10 +43,10 @@ def _validate_ohlc(buy_ohlc_sell_matrice):
|
||||
|
||||
def _build_dataframe(buy_ohlc_sell_matrice):
|
||||
_validate_ohlc(buy_ohlc_sell_matrice)
|
||||
tickers = []
|
||||
data = []
|
||||
for ohlc in buy_ohlc_sell_matrice:
|
||||
ticker = {
|
||||
'date': ticker_start_time.shift(
|
||||
d = {
|
||||
'date': tests_start_time.shift(
|
||||
minutes=(
|
||||
ohlc[0] *
|
||||
ticker_interval_in_minute)).timestamp *
|
||||
@@ -57,9 +57,9 @@ def _build_dataframe(buy_ohlc_sell_matrice):
|
||||
'low': ohlc[4],
|
||||
'close': ohlc[5],
|
||||
'sell': ohlc[6]}
|
||||
tickers.append(ticker)
|
||||
data.append(d)
|
||||
|
||||
frame = DataFrame(tickers)
|
||||
frame = DataFrame(data)
|
||||
frame['date'] = to_datetime(frame['date'],
|
||||
unit='ms',
|
||||
utc=True,
|
||||
@@ -69,7 +69,7 @@ def _build_dataframe(buy_ohlc_sell_matrice):
|
||||
|
||||
|
||||
def _time_on_candle(number):
|
||||
return np.datetime64(ticker_start_time.shift(
|
||||
return np.datetime64(tests_start_time.shift(
|
||||
minutes=(number * ticker_interval_in_minute)).timestamp * 1000, 'ms')
|
||||
|
||||
|
||||
@@ -158,13 +158,13 @@ def test_edge_results(edge_conf, mocker, caplog, data) -> None:
|
||||
assert len(trades) == len(data.trades)
|
||||
|
||||
if not results.empty:
|
||||
assert round(results["profit_percent"].sum(), 3) == round(data.profit_perc, 3)
|
||||
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.exit_type == trade.sell_reason
|
||||
assert res.open_time == np.datetime64(_get_frame_time_from_offset(trade.open_tick))
|
||||
assert res.close_time == np.datetime64(_get_frame_time_from_offset(trade.close_tick))
|
||||
assert res.open_time == _get_frame_time_from_offset(trade.open_tick).replace(tzinfo=None)
|
||||
assert res.close_time == _get_frame_time_from_offset(trade.close_tick).replace(tzinfo=None)
|
||||
|
||||
|
||||
def test_adjust(mocker, edge_conf):
|
||||
@@ -262,7 +262,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
|
||||
|
||||
NEOBTC = [
|
||||
[
|
||||
ticker_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
|
||||
tests_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
|
||||
math.sin(x * hz) / 1000 + base,
|
||||
math.sin(x * hz) / 1000 + base + 0.0001,
|
||||
math.sin(x * hz) / 1000 + base - 0.0001,
|
||||
@@ -274,7 +274,7 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
|
||||
base = 0.002
|
||||
LTCBTC = [
|
||||
[
|
||||
ticker_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
|
||||
tests_start_time.shift(minutes=(x * ticker_interval_in_minute)).timestamp * 1000,
|
||||
math.sin(x * hz) / 1000 + base,
|
||||
math.sin(x * hz) / 1000 + base + 0.0001,
|
||||
math.sin(x * hz) / 1000 + base - 0.0001,
|
||||
@@ -282,8 +282,10 @@ def mocked_load_data(datadir, pairs=[], timeframe='0m',
|
||||
123.45
|
||||
] for x in range(0, 500)]
|
||||
|
||||
pairdata = {'NEO/BTC': parse_ticker_dataframe(NEOBTC, '1h', pair="NEO/BTC", fill_missing=True),
|
||||
'LTC/BTC': parse_ticker_dataframe(LTCBTC, '1h', pair="LTC/BTC", fill_missing=True)}
|
||||
pairdata = {'NEO/BTC': ohlcv_to_dataframe(NEOBTC, '1h', pair="NEO/BTC",
|
||||
fill_missing=True),
|
||||
'LTC/BTC': ohlcv_to_dataframe(LTCBTC, '1h', pair="LTC/BTC",
|
||||
fill_missing=True)}
|
||||
return pairdata
|
||||
|
||||
|
||||
|
@@ -400,13 +400,40 @@ def test_validate_stake_currency_error(default_conf, mocker, caplog):
|
||||
def test_get_quote_currencies(default_conf, mocker):
|
||||
ex = get_patched_exchange(mocker, default_conf)
|
||||
|
||||
assert set(ex.get_quote_currencies()) == set(['USD', 'BTC', 'USDT'])
|
||||
assert set(ex.get_quote_currencies()) == set(['USD', 'ETH', 'BTC', 'USDT'])
|
||||
|
||||
|
||||
@pytest.mark.parametrize('pair,expected', [
|
||||
('XRP/BTC', 'BTC'),
|
||||
('LTC/USD', 'USD'),
|
||||
('ETH/USDT', 'USDT'),
|
||||
('XLTCUSDT', 'USDT'),
|
||||
('XRP/NOCURRENCY', ''),
|
||||
])
|
||||
def test_get_pair_quote_currency(default_conf, mocker, pair, expected):
|
||||
ex = get_patched_exchange(mocker, default_conf)
|
||||
assert ex.get_pair_quote_currency(pair) == expected
|
||||
|
||||
|
||||
@pytest.mark.parametrize('pair,expected', [
|
||||
('XRP/BTC', 'XRP'),
|
||||
('LTC/USD', 'LTC'),
|
||||
('ETH/USDT', 'ETH'),
|
||||
('XLTCUSDT', 'LTC'),
|
||||
('XRP/NOCURRENCY', ''),
|
||||
])
|
||||
def test_get_pair_base_currency(default_conf, mocker, pair, expected):
|
||||
ex = get_patched_exchange(mocker, default_conf)
|
||||
assert ex.get_pair_base_currency(pair) == expected
|
||||
|
||||
|
||||
def test_validate_pairs(default_conf, mocker): # test exchange.validate_pairs directly
|
||||
api_mock = MagicMock()
|
||||
type(api_mock).markets = PropertyMock(return_value={
|
||||
'ETH/BTC': {}, 'LTC/BTC': {}, 'XRP/BTC': {}, 'NEO/BTC': {}
|
||||
'ETH/BTC': {'quote': 'BTC'},
|
||||
'LTC/BTC': {'quote': 'BTC'},
|
||||
'XRP/BTC': {'quote': 'BTC'},
|
||||
'NEO/BTC': {'quote': 'BTC'},
|
||||
})
|
||||
id_mock = PropertyMock(return_value='test_exchange')
|
||||
type(api_mock).id = id_mock
|
||||
@@ -454,9 +481,9 @@ def test_validate_pairs_exception(default_conf, mocker, caplog):
|
||||
def test_validate_pairs_restricted(default_conf, mocker, caplog):
|
||||
api_mock = MagicMock()
|
||||
type(api_mock).markets = PropertyMock(return_value={
|
||||
'ETH/BTC': {}, 'LTC/BTC': {},
|
||||
'XRP/BTC': {'info': {'IsRestricted': True}},
|
||||
'NEO/BTC': {'info': 'TestString'}, # info can also be a string ...
|
||||
'ETH/BTC': {'quote': 'BTC'}, 'LTC/BTC': {'quote': 'BTC'},
|
||||
'XRP/BTC': {'quote': 'BTC', 'info': {'IsRestricted': True}},
|
||||
'NEO/BTC': {'quote': 'BTC', 'info': 'TestString'}, # info can also be a string ...
|
||||
})
|
||||
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
|
||||
@@ -469,6 +496,54 @@ def test_validate_pairs_restricted(default_conf, mocker, caplog):
|
||||
f"on the exchange and eventually remove XRP/BTC from your whitelist.", caplog)
|
||||
|
||||
|
||||
def test_validate_pairs_stakecompatibility(default_conf, mocker, caplog):
|
||||
api_mock = MagicMock()
|
||||
type(api_mock).markets = PropertyMock(return_value={
|
||||
'ETH/BTC': {'quote': 'BTC'}, 'LTC/BTC': {'quote': 'BTC'},
|
||||
'XRP/BTC': {'quote': 'BTC'}, 'NEO/BTC': {'quote': 'BTC'},
|
||||
'HELLO-WORLD': {'quote': 'BTC'},
|
||||
})
|
||||
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
|
||||
mocker.patch('freqtrade.exchange.Exchange._load_async_markets')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
|
||||
|
||||
Exchange(default_conf)
|
||||
|
||||
|
||||
def test_validate_pairs_stakecompatibility_downloaddata(default_conf, mocker, caplog):
|
||||
api_mock = MagicMock()
|
||||
default_conf['stake_currency'] = ''
|
||||
type(api_mock).markets = PropertyMock(return_value={
|
||||
'ETH/BTC': {'quote': 'BTC'}, 'LTC/BTC': {'quote': 'BTC'},
|
||||
'XRP/BTC': {'quote': 'BTC'}, 'NEO/BTC': {'quote': 'BTC'},
|
||||
'HELLO-WORLD': {'quote': 'BTC'},
|
||||
})
|
||||
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
|
||||
mocker.patch('freqtrade.exchange.Exchange._load_async_markets')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
|
||||
|
||||
Exchange(default_conf)
|
||||
|
||||
|
||||
def test_validate_pairs_stakecompatibility_fail(default_conf, mocker, caplog):
|
||||
default_conf['exchange']['pair_whitelist'].append('HELLO-WORLD')
|
||||
api_mock = MagicMock()
|
||||
type(api_mock).markets = PropertyMock(return_value={
|
||||
'ETH/BTC': {'quote': 'BTC'}, 'LTC/BTC': {'quote': 'BTC'},
|
||||
'XRP/BTC': {'quote': 'BTC'}, 'NEO/BTC': {'quote': 'BTC'},
|
||||
'HELLO-WORLD': {'quote': 'USDT'},
|
||||
})
|
||||
mocker.patch('freqtrade.exchange.Exchange._init_ccxt', MagicMock(return_value=api_mock))
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_timeframes')
|
||||
mocker.patch('freqtrade.exchange.Exchange._load_async_markets')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
|
||||
|
||||
with pytest.raises(OperationalException, match=r"Stake-currency 'BTC' not compatible with.*"):
|
||||
Exchange(default_conf)
|
||||
|
||||
|
||||
@pytest.mark.parametrize("timeframe", [
|
||||
('5m'), ("1m"), ("15m"), ("1h")
|
||||
])
|
||||
@@ -506,7 +581,7 @@ def test_validate_timeframes_failed(default_conf, mocker):
|
||||
mocker.patch('freqtrade.exchange.Exchange._load_markets', MagicMock(return_value={}))
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_pairs', MagicMock())
|
||||
with pytest.raises(OperationalException,
|
||||
match=r"Invalid ticker interval '3m'. This exchange supports.*"):
|
||||
match=r"Invalid timeframe '3m'. This exchange supports.*"):
|
||||
Exchange(default_conf)
|
||||
default_conf["ticker_interval"] = "15s"
|
||||
|
||||
@@ -1121,31 +1196,22 @@ def test_fetch_ticker(default_conf, mocker, exchange_name):
|
||||
assert ticker['bid'] == 0.5
|
||||
assert ticker['ask'] == 1
|
||||
|
||||
assert 'ETH/BTC' in exchange._cached_ticker
|
||||
assert exchange._cached_ticker['ETH/BTC']['bid'] == 0.5
|
||||
assert exchange._cached_ticker['ETH/BTC']['ask'] == 1
|
||||
|
||||
# Test caching
|
||||
api_mock.fetch_ticker = MagicMock()
|
||||
exchange.fetch_ticker(pair='ETH/BTC', refresh=False)
|
||||
assert api_mock.fetch_ticker.call_count == 0
|
||||
|
||||
ccxt_exceptionhandlers(mocker, default_conf, api_mock, exchange_name,
|
||||
"fetch_ticker", "fetch_ticker",
|
||||
pair='ETH/BTC', refresh=True)
|
||||
pair='ETH/BTC')
|
||||
|
||||
api_mock.fetch_ticker = MagicMock(return_value={})
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
|
||||
exchange.fetch_ticker(pair='ETH/BTC', refresh=True)
|
||||
exchange.fetch_ticker(pair='ETH/BTC')
|
||||
|
||||
with pytest.raises(DependencyException, match=r'Pair XRP/ETH not available'):
|
||||
exchange.fetch_ticker(pair='XRP/ETH', refresh=True)
|
||||
exchange.fetch_ticker(pair='XRP/ETH')
|
||||
|
||||
|
||||
@pytest.mark.parametrize("exchange_name", EXCHANGES)
|
||||
def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
|
||||
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
|
||||
tick = [
|
||||
ohlcv = [
|
||||
[
|
||||
arrow.utcnow().timestamp * 1000, # unix timestamp ms
|
||||
1, # open
|
||||
@@ -1158,7 +1224,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
|
||||
pair = 'ETH/BTC'
|
||||
|
||||
async def mock_candle_hist(pair, timeframe, since_ms):
|
||||
return pair, timeframe, tick
|
||||
return pair, timeframe, ohlcv
|
||||
|
||||
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
|
||||
# one_call calculation * 1.8 should do 2 calls
|
||||
@@ -1166,12 +1232,12 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name):
|
||||
ret = exchange.get_historic_ohlcv(pair, "5m", int((arrow.utcnow().timestamp - since) * 1000))
|
||||
|
||||
assert exchange._async_get_candle_history.call_count == 2
|
||||
# Returns twice the above tick
|
||||
# Returns twice the above OHLCV data
|
||||
assert len(ret) == 2
|
||||
|
||||
|
||||
def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
|
||||
tick = [
|
||||
ohlcv = [
|
||||
[
|
||||
(arrow.utcnow().timestamp - 1) * 1000, # unix timestamp ms
|
||||
1, # open
|
||||
@@ -1192,14 +1258,14 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
|
||||
|
||||
caplog.set_level(logging.DEBUG)
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(tick)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
|
||||
|
||||
pairs = [('IOTA/ETH', '5m'), ('XRP/ETH', '5m')]
|
||||
# empty dicts
|
||||
assert not exchange._klines
|
||||
exchange.refresh_latest_ohlcv(pairs)
|
||||
|
||||
assert log_has(f'Refreshing ohlcv data for {len(pairs)} pairs', caplog)
|
||||
assert log_has(f'Refreshing candle (OHLCV) data for {len(pairs)} pairs', caplog)
|
||||
assert exchange._klines
|
||||
assert exchange._api_async.fetch_ohlcv.call_count == 2
|
||||
for pair in pairs:
|
||||
@@ -1217,14 +1283,15 @@ def test_refresh_latest_ohlcv(mocker, default_conf, caplog) -> None:
|
||||
exchange.refresh_latest_ohlcv([('IOTA/ETH', '5m'), ('XRP/ETH', '5m')])
|
||||
|
||||
assert exchange._api_async.fetch_ohlcv.call_count == 2
|
||||
assert log_has(f"Using cached ohlcv data for pair {pairs[0][0]}, timeframe {pairs[0][1]} ...",
|
||||
assert log_has(f"Using cached candle (OHLCV) data for pair {pairs[0][0]}, "
|
||||
f"timeframe {pairs[0][1]} ...",
|
||||
caplog)
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@pytest.mark.parametrize("exchange_name", EXCHANGES)
|
||||
async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_name):
|
||||
tick = [
|
||||
ohlcv = [
|
||||
[
|
||||
arrow.utcnow().timestamp * 1000, # unix timestamp ms
|
||||
1, # open
|
||||
@@ -1238,7 +1305,7 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
|
||||
caplog.set_level(logging.DEBUG)
|
||||
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
|
||||
# Monkey-patch async function
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(tick)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
|
||||
|
||||
pair = 'ETH/BTC'
|
||||
res = await exchange._async_get_candle_history(pair, "5m")
|
||||
@@ -1246,9 +1313,9 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
|
||||
assert len(res) == 3
|
||||
assert res[0] == pair
|
||||
assert res[1] == "5m"
|
||||
assert res[2] == tick
|
||||
assert res[2] == ohlcv
|
||||
assert exchange._api_async.fetch_ohlcv.call_count == 1
|
||||
assert not log_has(f"Using cached ohlcv data for {pair} ...", caplog)
|
||||
assert not log_has(f"Using cached candle (OHLCV) data for {pair} ...", caplog)
|
||||
|
||||
# exchange = Exchange(default_conf)
|
||||
await async_ccxt_exception(mocker, default_conf, MagicMock(),
|
||||
@@ -1256,14 +1323,15 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
|
||||
pair='ABCD/BTC', timeframe=default_conf['ticker_interval'])
|
||||
|
||||
api_mock = MagicMock()
|
||||
with pytest.raises(OperationalException, match=r'Could not fetch ticker data*'):
|
||||
with pytest.raises(OperationalException,
|
||||
match=r'Could not fetch historical candle \(OHLCV\) data.*'):
|
||||
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.BaseError("Unknown error"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
|
||||
await exchange._async_get_candle_history(pair, "5m",
|
||||
(arrow.utcnow().timestamp - 2000) * 1000)
|
||||
|
||||
with pytest.raises(OperationalException, match=r'Exchange.* does not support fetching '
|
||||
r'historical candlestick data\..*'):
|
||||
r'historical candle \(OHLCV\) data\..*'):
|
||||
api_mock.fetch_ohlcv = MagicMock(side_effect=ccxt.NotSupported("Not supported"))
|
||||
exchange = get_patched_exchange(mocker, default_conf, api_mock, id=exchange_name)
|
||||
await exchange._async_get_candle_history(pair, "5m",
|
||||
@@ -1273,7 +1341,7 @@ async def test__async_get_candle_history(default_conf, mocker, caplog, exchange_
|
||||
@pytest.mark.asyncio
|
||||
async def test__async_get_candle_history_empty(default_conf, mocker, caplog):
|
||||
""" Test empty exchange result """
|
||||
tick = []
|
||||
ohlcv = []
|
||||
|
||||
caplog.set_level(logging.DEBUG)
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
@@ -1287,7 +1355,7 @@ async def test__async_get_candle_history_empty(default_conf, mocker, caplog):
|
||||
assert len(res) == 3
|
||||
assert res[0] == pair
|
||||
assert res[1] == "5m"
|
||||
assert res[2] == tick
|
||||
assert res[2] == ohlcv
|
||||
assert exchange._api_async.fetch_ohlcv.call_count == 1
|
||||
|
||||
|
||||
@@ -1365,8 +1433,8 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
|
||||
return sorted(data, key=key)
|
||||
|
||||
# GDAX use-case (real data from GDAX)
|
||||
# This ticker history is ordered DESC (newest first, oldest last)
|
||||
tick = [
|
||||
# This OHLCV data is ordered DESC (newest first, oldest last)
|
||||
ohlcv = [
|
||||
[1527833100000, 0.07666, 0.07671, 0.07666, 0.07668, 16.65244264],
|
||||
[1527832800000, 0.07662, 0.07666, 0.07662, 0.07666, 1.30051526],
|
||||
[1527832500000, 0.07656, 0.07661, 0.07656, 0.07661, 12.034778840000001],
|
||||
@@ -1379,31 +1447,31 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
|
||||
[1527830400000, 0.07649, 0.07651, 0.07649, 0.07651, 2.5734867]
|
||||
]
|
||||
exchange = get_patched_exchange(mocker, default_conf, id=exchange_name)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(tick)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
|
||||
sort_mock = mocker.patch('freqtrade.exchange.exchange.sorted', MagicMock(side_effect=sort_data))
|
||||
# Test the ticker history sort
|
||||
# Test the OHLCV data sort
|
||||
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['ticker_interval'])
|
||||
assert res[0] == 'ETH/BTC'
|
||||
ticks = res[2]
|
||||
res_ohlcv = res[2]
|
||||
|
||||
assert sort_mock.call_count == 1
|
||||
assert ticks[0][0] == 1527830400000
|
||||
assert ticks[0][1] == 0.07649
|
||||
assert ticks[0][2] == 0.07651
|
||||
assert ticks[0][3] == 0.07649
|
||||
assert ticks[0][4] == 0.07651
|
||||
assert ticks[0][5] == 2.5734867
|
||||
assert res_ohlcv[0][0] == 1527830400000
|
||||
assert res_ohlcv[0][1] == 0.07649
|
||||
assert res_ohlcv[0][2] == 0.07651
|
||||
assert res_ohlcv[0][3] == 0.07649
|
||||
assert res_ohlcv[0][4] == 0.07651
|
||||
assert res_ohlcv[0][5] == 2.5734867
|
||||
|
||||
assert ticks[9][0] == 1527833100000
|
||||
assert ticks[9][1] == 0.07666
|
||||
assert ticks[9][2] == 0.07671
|
||||
assert ticks[9][3] == 0.07666
|
||||
assert ticks[9][4] == 0.07668
|
||||
assert ticks[9][5] == 16.65244264
|
||||
assert res_ohlcv[9][0] == 1527833100000
|
||||
assert res_ohlcv[9][1] == 0.07666
|
||||
assert res_ohlcv[9][2] == 0.07671
|
||||
assert res_ohlcv[9][3] == 0.07666
|
||||
assert res_ohlcv[9][4] == 0.07668
|
||||
assert res_ohlcv[9][5] == 16.65244264
|
||||
|
||||
# Bittrex use-case (real data from Bittrex)
|
||||
# This ticker history is ordered ASC (oldest first, newest last)
|
||||
tick = [
|
||||
# This OHLCV data is ordered ASC (oldest first, newest last)
|
||||
ohlcv = [
|
||||
[1527827700000, 0.07659999, 0.0766, 0.07627, 0.07657998, 1.85216924],
|
||||
[1527828000000, 0.07657995, 0.07657995, 0.0763, 0.0763, 26.04051037],
|
||||
[1527828300000, 0.0763, 0.07659998, 0.0763, 0.0764, 10.36434124],
|
||||
@@ -1415,29 +1483,29 @@ async def test___async_get_candle_history_sort(default_conf, mocker, exchange_na
|
||||
[1527830100000, 0.076695, 0.07671, 0.07624171, 0.07671, 1.80689244],
|
||||
[1527830400000, 0.07671, 0.07674399, 0.07629216, 0.07655213, 2.31452783]
|
||||
]
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(tick)
|
||||
exchange._api_async.fetch_ohlcv = get_mock_coro(ohlcv)
|
||||
# Reset sort mock
|
||||
sort_mock = mocker.patch('freqtrade.exchange.sorted', MagicMock(side_effect=sort_data))
|
||||
# Test the ticker history sort
|
||||
# Test the OHLCV data sort
|
||||
res = await exchange._async_get_candle_history('ETH/BTC', default_conf['ticker_interval'])
|
||||
assert res[0] == 'ETH/BTC'
|
||||
assert res[1] == default_conf['ticker_interval']
|
||||
ticks = res[2]
|
||||
res_ohlcv = res[2]
|
||||
# Sorted not called again - data is already in order
|
||||
assert sort_mock.call_count == 0
|
||||
assert ticks[0][0] == 1527827700000
|
||||
assert ticks[0][1] == 0.07659999
|
||||
assert ticks[0][2] == 0.0766
|
||||
assert ticks[0][3] == 0.07627
|
||||
assert ticks[0][4] == 0.07657998
|
||||
assert ticks[0][5] == 1.85216924
|
||||
assert res_ohlcv[0][0] == 1527827700000
|
||||
assert res_ohlcv[0][1] == 0.07659999
|
||||
assert res_ohlcv[0][2] == 0.0766
|
||||
assert res_ohlcv[0][3] == 0.07627
|
||||
assert res_ohlcv[0][4] == 0.07657998
|
||||
assert res_ohlcv[0][5] == 1.85216924
|
||||
|
||||
assert ticks[9][0] == 1527830400000
|
||||
assert ticks[9][1] == 0.07671
|
||||
assert ticks[9][2] == 0.07674399
|
||||
assert ticks[9][3] == 0.07629216
|
||||
assert ticks[9][4] == 0.07655213
|
||||
assert ticks[9][5] == 2.31452783
|
||||
assert res_ohlcv[9][0] == 1527830400000
|
||||
assert res_ohlcv[9][1] == 0.07671
|
||||
assert res_ohlcv[9][2] == 0.07674399
|
||||
assert res_ohlcv[9][3] == 0.07629216
|
||||
assert res_ohlcv[9][4] == 0.07655213
|
||||
assert res_ohlcv[9][5] == 2.31452783
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
@@ -1828,6 +1896,7 @@ def test_get_valid_pair_combination(default_conf, mocker, markets):
|
||||
# 'ETH/BTC': 'active': True
|
||||
# 'ETH/USDT': 'active': True
|
||||
# 'LTC/BTC': 'active': False
|
||||
# 'LTC/ETH': 'active': True
|
||||
# 'LTC/USD': 'active': True
|
||||
# 'LTC/USDT': 'active': True
|
||||
# 'NEO/BTC': 'active': False
|
||||
@@ -1836,26 +1905,26 @@ def test_get_valid_pair_combination(default_conf, mocker, markets):
|
||||
# 'XRP/BTC': 'active': False
|
||||
# all markets
|
||||
([], [], False, False,
|
||||
['BLK/BTC', 'BTT/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/USD',
|
||||
['BLK/BTC', 'BTT/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD',
|
||||
'LTC/USDT', 'NEO/BTC', 'TKN/BTC', 'XLTCUSDT', 'XRP/BTC']),
|
||||
# active markets
|
||||
([], [], False, True,
|
||||
['BLK/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/USD', 'NEO/BTC',
|
||||
['BLK/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD', 'NEO/BTC',
|
||||
'TKN/BTC', 'XLTCUSDT', 'XRP/BTC']),
|
||||
# all pairs
|
||||
([], [], True, False,
|
||||
['BLK/BTC', 'BTT/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/USD',
|
||||
['BLK/BTC', 'BTT/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD',
|
||||
'LTC/USDT', 'NEO/BTC', 'TKN/BTC', 'XRP/BTC']),
|
||||
# active pairs
|
||||
([], [], True, True,
|
||||
['BLK/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/USD', 'NEO/BTC',
|
||||
['BLK/BTC', 'ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD', 'NEO/BTC',
|
||||
'TKN/BTC', 'XRP/BTC']),
|
||||
# all markets, base=ETH, LTC
|
||||
(['ETH', 'LTC'], [], False, False,
|
||||
['ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/USD', 'LTC/USDT', 'XLTCUSDT']),
|
||||
['ETH/BTC', 'ETH/USDT', 'LTC/BTC', 'LTC/ETH', 'LTC/USD', 'LTC/USDT', 'XLTCUSDT']),
|
||||
# all markets, base=LTC
|
||||
(['LTC'], [], False, False,
|
||||
['LTC/BTC', 'LTC/USD', 'LTC/USDT', 'XLTCUSDT']),
|
||||
['LTC/BTC', 'LTC/ETH', 'LTC/USD', 'LTC/USDT', 'XLTCUSDT']),
|
||||
# all markets, quote=USDT
|
||||
([], ['USDT'], False, False,
|
||||
['ETH/USDT', 'LTC/USDT', 'XLTCUSDT']),
|
||||
|
@@ -6,7 +6,7 @@ from pandas import DataFrame
|
||||
from freqtrade.exchange import timeframe_to_minutes
|
||||
from freqtrade.strategy.interface import SellType
|
||||
|
||||
ticker_start_time = arrow.get(2018, 10, 3)
|
||||
tests_start_time = arrow.get(2018, 10, 3)
|
||||
tests_timeframe = '1h'
|
||||
|
||||
|
||||
@@ -36,14 +36,14 @@ class BTContainer(NamedTuple):
|
||||
|
||||
|
||||
def _get_frame_time_from_offset(offset):
|
||||
return ticker_start_time.shift(minutes=(offset * timeframe_to_minutes(tests_timeframe))
|
||||
).datetime
|
||||
minutes = offset * timeframe_to_minutes(tests_timeframe)
|
||||
return tests_start_time.shift(minutes=minutes).datetime
|
||||
|
||||
|
||||
def _build_backtest_dataframe(ticker_with_signals):
|
||||
def _build_backtest_dataframe(data):
|
||||
columns = ['date', 'open', 'high', 'low', 'close', 'volume', 'buy', 'sell']
|
||||
|
||||
frame = DataFrame.from_records(ticker_with_signals, columns=columns)
|
||||
frame = DataFrame.from_records(data, columns=columns)
|
||||
frame['date'] = frame['date'].apply(_get_frame_time_from_offset)
|
||||
# Ensure floats are in place
|
||||
for column in ['open', 'high', 'low', 'close', 'volume']:
|
||||
|
@@ -84,7 +84,7 @@ def simple_backtest(config, contour, num_results, mocker, testdatadir) -> None:
|
||||
backtesting = Backtesting(config)
|
||||
|
||||
data = load_data_test(contour, testdatadir)
|
||||
processed = backtesting.strategy.tickerdata_to_dataframe(data)
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(processed)
|
||||
assert isinstance(processed, dict)
|
||||
results = backtesting.backtest(
|
||||
@@ -105,7 +105,7 @@ def _make_backtest_conf(mocker, datadir, conf=None, pair='UNITTEST/BTC'):
|
||||
data = trim_dictlist(data, -201)
|
||||
patch_exchange(mocker)
|
||||
backtesting = Backtesting(conf)
|
||||
processed = backtesting.strategy.tickerdata_to_dataframe(data)
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(processed)
|
||||
return {
|
||||
'processed': processed,
|
||||
@@ -224,6 +224,7 @@ def test_setup_bt_configuration_with_arguments(mocker, default_conf, caplog) ->
|
||||
assert 'export' in config
|
||||
assert log_has('Parameter --export detected: {} ...'.format(config['export']), caplog)
|
||||
assert 'exportfilename' in config
|
||||
assert isinstance(config['exportfilename'], Path)
|
||||
assert log_has('Storing backtest results to {} ...'.format(config['exportfilename']), caplog)
|
||||
|
||||
assert 'fee' in config
|
||||
@@ -241,7 +242,7 @@ def test_setup_optimize_configuration_unlimited_stake_amount(mocker, default_con
|
||||
'--strategy', 'DefaultStrategy',
|
||||
]
|
||||
|
||||
with pytest.raises(DependencyException, match=r'.*stake amount.*'):
|
||||
with pytest.raises(DependencyException, match=r'.`stake_amount`.*'):
|
||||
setup_optimize_configuration(get_args(args), RunMode.BACKTEST)
|
||||
|
||||
|
||||
@@ -275,7 +276,7 @@ def test_backtesting_init(mocker, default_conf, order_types) -> None:
|
||||
backtesting = Backtesting(default_conf)
|
||||
assert backtesting.config == default_conf
|
||||
assert backtesting.timeframe == '5m'
|
||||
assert callable(backtesting.strategy.tickerdata_to_dataframe)
|
||||
assert callable(backtesting.strategy.ohlcvdata_to_dataframe)
|
||||
assert callable(backtesting.strategy.advise_buy)
|
||||
assert callable(backtesting.strategy.advise_sell)
|
||||
assert isinstance(backtesting.strategy.dp, DataProvider)
|
||||
@@ -297,7 +298,7 @@ def test_backtesting_init_no_ticker_interval(mocker, default_conf, caplog) -> No
|
||||
"or as cli argument `--ticker-interval 5m`", caplog)
|
||||
|
||||
|
||||
def test_tickerdata_with_fee(default_conf, mocker, testdatadir) -> None:
|
||||
def test_data_with_fee(default_conf, mocker, testdatadir) -> None:
|
||||
patch_exchange(mocker)
|
||||
default_conf['fee'] = 0.1234
|
||||
|
||||
@@ -307,21 +308,21 @@ def test_tickerdata_with_fee(default_conf, mocker, testdatadir) -> None:
|
||||
assert fee_mock.call_count == 0
|
||||
|
||||
|
||||
def test_tickerdata_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
|
||||
def test_data_to_dataframe_bt(default_conf, mocker, testdatadir) -> None:
|
||||
patch_exchange(mocker)
|
||||
timerange = TimeRange.parse_timerange('1510694220-1510700340')
|
||||
tickerlist = history.load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
|
||||
fill_up_missing=True)
|
||||
data = history.load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
|
||||
fill_up_missing=True)
|
||||
backtesting = Backtesting(default_conf)
|
||||
data = backtesting.strategy.tickerdata_to_dataframe(tickerlist)
|
||||
assert len(data['UNITTEST/BTC']) == 102
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
assert len(processed['UNITTEST/BTC']) == 102
|
||||
|
||||
# Load strategy to compare the result between Backtesting function and strategy are the same
|
||||
default_conf.update({'strategy': 'DefaultStrategy'})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
data2 = strategy.tickerdata_to_dataframe(tickerlist)
|
||||
assert data['UNITTEST/BTC'].equals(data2['UNITTEST/BTC'])
|
||||
processed2 = strategy.ohlcvdata_to_dataframe(data)
|
||||
assert processed['UNITTEST/BTC'].equals(processed2['UNITTEST/BTC'])
|
||||
|
||||
|
||||
def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
|
||||
@@ -329,7 +330,6 @@ def test_backtesting_start(default_conf, mocker, testdatadir, caplog) -> None:
|
||||
return Arrow(2017, 11, 14, 21, 17), Arrow(2017, 11, 14, 22, 59)
|
||||
|
||||
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
|
||||
mocker.patch('freqtrade.exchange.Exchange.refresh_latest_ohlcv', MagicMock())
|
||||
patch_exchange(mocker)
|
||||
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', MagicMock())
|
||||
mocker.patch('freqtrade.optimize.backtesting.generate_text_table', MagicMock(return_value=1))
|
||||
@@ -360,7 +360,6 @@ def test_backtesting_start_no_data(default_conf, mocker, caplog, testdatadir) ->
|
||||
mocker.patch('freqtrade.data.history.history_utils.load_pair_history',
|
||||
MagicMock(return_value=pd.DataFrame()))
|
||||
mocker.patch('freqtrade.data.history.get_timerange', get_timerange)
|
||||
mocker.patch('freqtrade.exchange.Exchange.refresh_latest_ohlcv', MagicMock())
|
||||
patch_exchange(mocker)
|
||||
mocker.patch('freqtrade.optimize.backtesting.Backtesting.backtest', MagicMock())
|
||||
mocker.patch('freqtrade.optimize.backtesting.generate_text_table', MagicMock(return_value=1))
|
||||
@@ -385,10 +384,10 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None:
|
||||
timerange = TimeRange('date', None, 1517227800, 0)
|
||||
data = history.load_data(datadir=testdatadir, timeframe='5m', pairs=['UNITTEST/BTC'],
|
||||
timerange=timerange)
|
||||
data_processed = backtesting.strategy.tickerdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(data_processed)
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(processed)
|
||||
results = backtesting.backtest(
|
||||
processed=data_processed,
|
||||
processed=processed,
|
||||
stake_amount=default_conf['stake_amount'],
|
||||
start_date=min_date,
|
||||
end_date=max_date,
|
||||
@@ -416,7 +415,7 @@ def test_backtest(default_conf, fee, mocker, testdatadir) -> None:
|
||||
'sell_reason': [SellType.ROI, SellType.ROI]
|
||||
})
|
||||
pd.testing.assert_frame_equal(results, expected)
|
||||
data_pair = data_processed[pair]
|
||||
data_pair = processed[pair]
|
||||
for _, t in results.iterrows():
|
||||
ln = data_pair.loc[data_pair["date"] == t["open_time"]]
|
||||
# Check open trade rate alignes to open rate
|
||||
@@ -439,7 +438,7 @@ def test_backtest_1min_ticker_interval(default_conf, fee, mocker, testdatadir) -
|
||||
timerange = TimeRange.parse_timerange('1510688220-1510700340')
|
||||
data = history.load_data(datadir=testdatadir, timeframe='1m', pairs=['UNITTEST/BTC'],
|
||||
timerange=timerange)
|
||||
processed = backtesting.strategy.tickerdata_to_dataframe(data)
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(processed)
|
||||
results = backtesting.backtest(
|
||||
processed=processed,
|
||||
@@ -458,7 +457,7 @@ def test_processed(default_conf, mocker, testdatadir) -> None:
|
||||
backtesting = Backtesting(default_conf)
|
||||
|
||||
dict_of_tickerrows = load_data_test('raise', testdatadir)
|
||||
dataframes = backtesting.strategy.tickerdata_to_dataframe(dict_of_tickerrows)
|
||||
dataframes = backtesting.strategy.ohlcvdata_to_dataframe(dict_of_tickerrows)
|
||||
dataframe = dataframes['UNITTEST/BTC']
|
||||
cols = dataframe.columns
|
||||
# assert the dataframe got some of the indicator columns
|
||||
@@ -557,10 +556,10 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
|
||||
backtesting.strategy.advise_buy = _trend_alternate_hold # Override
|
||||
backtesting.strategy.advise_sell = _trend_alternate_hold # Override
|
||||
|
||||
data_processed = backtesting.strategy.tickerdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(data_processed)
|
||||
processed = backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
min_date, max_date = get_timerange(processed)
|
||||
backtest_conf = {
|
||||
'processed': data_processed,
|
||||
'processed': processed,
|
||||
'stake_amount': default_conf['stake_amount'],
|
||||
'start_date': min_date,
|
||||
'end_date': max_date,
|
||||
@@ -576,7 +575,7 @@ def test_backtest_multi_pair(default_conf, fee, mocker, tres, pair, testdatadir)
|
||||
assert len(evaluate_result_multi(results, '5m', 3)) == 0
|
||||
|
||||
backtest_conf = {
|
||||
'processed': data_processed,
|
||||
'processed': processed,
|
||||
'stake_amount': default_conf['stake_amount'],
|
||||
'start_date': min_date,
|
||||
'end_date': max_date,
|
||||
|
@@ -10,10 +10,11 @@ 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 OperationalException
|
||||
from freqtrade.exceptions import DependencyException, OperationalException
|
||||
from freqtrade.optimize.default_hyperopt import DefaultHyperOpt
|
||||
from freqtrade.optimize.default_hyperopt_loss import DefaultHyperOptLoss
|
||||
from freqtrade.optimize.hyperopt import Hyperopt
|
||||
@@ -158,6 +159,21 @@ 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, caplog) -> None:
|
||||
default_conf['stake_amount'] = constants.UNLIMITED_STAKE_AMOUNT
|
||||
|
||||
patched_configuration_load_config_file(mocker, default_conf)
|
||||
|
||||
args = [
|
||||
'hyperopt',
|
||||
'--config', 'config.json',
|
||||
'--hyperopt', 'DefaultHyperOpt',
|
||||
]
|
||||
|
||||
with pytest.raises(DependencyException, match=r'.`stake_amount`.*'):
|
||||
setup_optimize_configuration(get_args(args), RunMode.HYPEROPT)
|
||||
|
||||
|
||||
def test_hyperoptresolver(mocker, default_conf, caplog) -> None:
|
||||
patched_configuration_load_config_file(mocker, default_conf)
|
||||
|
||||
@@ -369,6 +385,42 @@ def test_sharpe_loss_daily_prefers_higher_profits(default_conf, hyperopt_results
|
||||
assert under > correct
|
||||
|
||||
|
||||
def test_sortino_loss_prefers_higher_profits(default_conf, hyperopt_results) -> None:
|
||||
results_over = hyperopt_results.copy()
|
||||
results_over['profit_percent'] = hyperopt_results['profit_percent'] * 2
|
||||
results_under = hyperopt_results.copy()
|
||||
results_under['profit_percent'] = hyperopt_results['profit_percent'] / 2
|
||||
|
||||
default_conf.update({'hyperopt_loss': 'SortinoHyperOptLoss'})
|
||||
hl = HyperOptLossResolver.load_hyperoptloss(default_conf)
|
||||
correct = hl.hyperopt_loss_function(hyperopt_results, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
over = hl.hyperopt_loss_function(results_over, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
under = hl.hyperopt_loss_function(results_under, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
assert over < correct
|
||||
assert under > correct
|
||||
|
||||
|
||||
def test_sortino_loss_daily_prefers_higher_profits(default_conf, hyperopt_results) -> None:
|
||||
results_over = hyperopt_results.copy()
|
||||
results_over['profit_percent'] = hyperopt_results['profit_percent'] * 2
|
||||
results_under = hyperopt_results.copy()
|
||||
results_under['profit_percent'] = hyperopt_results['profit_percent'] / 2
|
||||
|
||||
default_conf.update({'hyperopt_loss': 'SortinoHyperOptLossDaily'})
|
||||
hl = HyperOptLossResolver.load_hyperoptloss(default_conf)
|
||||
correct = hl.hyperopt_loss_function(hyperopt_results, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
over = hl.hyperopt_loss_function(results_over, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
under = hl.hyperopt_loss_function(results_under, len(hyperopt_results),
|
||||
datetime(2019, 1, 1), datetime(2019, 5, 1))
|
||||
assert over < correct
|
||||
assert under > correct
|
||||
|
||||
|
||||
def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results) -> None:
|
||||
results_over = hyperopt_results.copy()
|
||||
results_over['profit_percent'] = hyperopt_results['profit_percent'] * 2
|
||||
@@ -390,17 +442,27 @@ def test_onlyprofit_loss_prefers_higher_profits(default_conf, hyperopt_results)
|
||||
def test_log_results_if_loss_improves(hyperopt, capsys) -> None:
|
||||
hyperopt.current_best_loss = 2
|
||||
hyperopt.total_epochs = 2
|
||||
|
||||
hyperopt.print_results(
|
||||
{
|
||||
'is_best': True,
|
||||
'loss': 1,
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
},
|
||||
'total_profit': 0,
|
||||
'current_epoch': 2, # This starts from 1 (in a human-friendly manner)
|
||||
'results_explanation': 'foo.',
|
||||
'is_initial_point': False
|
||||
'is_initial_point': False,
|
||||
'is_best': True
|
||||
}
|
||||
)
|
||||
out, err = capsys.readouterr()
|
||||
assert ' 2/2: foo. Objective: 1.00000' in out
|
||||
assert all(x in out
|
||||
for x in ["Best", "2/2", " 1", "0.10%", "0.00100000 BTC (1.00%)", "20.0 m"])
|
||||
|
||||
|
||||
def test_no_log_if_loss_does_not_improve(hyperopt, caplog) -> None:
|
||||
@@ -422,13 +484,11 @@ def test_save_trials_saves_trials(mocker, hyperopt, testdatadir, caplog) -> None
|
||||
|
||||
hyperopt.trials = trials
|
||||
hyperopt.save_trials(final=True)
|
||||
assert log_has("Saving 1 epoch.", caplog)
|
||||
assert log_has(f"1 epoch saved to '{trials_file}'.", caplog)
|
||||
mock_dump.assert_called_once()
|
||||
|
||||
hyperopt.trials = trials + trials
|
||||
hyperopt.save_trials(final=True)
|
||||
assert log_has("Saving 2 epochs.", caplog)
|
||||
assert log_has(f"2 epochs saved to '{trials_file}'.", caplog)
|
||||
|
||||
|
||||
@@ -466,11 +526,21 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result',
|
||||
'params': {'buy': {}, 'sell': {}, 'roi': {}, 'stoploss': 0.0}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result',
|
||||
'params': {'buy': {}, 'sell': {}, 'roi': {}, 'stoploss': 0.0},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
},
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
# Co-test loading ticker-interval from strategy
|
||||
# Co-test loading timeframe from strategy
|
||||
del default_conf['ticker_interval']
|
||||
default_conf.update({'config': 'config.json.example',
|
||||
'hyperopt': 'DefaultHyperOpt',
|
||||
@@ -480,7 +550,7 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, capsys) -> None:
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
hyperopt.start()
|
||||
@@ -490,7 +560,7 @@ def test_start_calls_optimizer(mocker, default_conf, caplog, 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 tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
|
||||
@@ -576,8 +646,8 @@ def test_has_space(hyperopt, spaces, expected_results):
|
||||
|
||||
|
||||
def test_populate_indicators(hyperopt, testdatadir) -> None:
|
||||
tickerlist = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
|
||||
dataframes = hyperopt.backtesting.strategy.tickerdata_to_dataframe(tickerlist)
|
||||
data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
|
||||
dataframes = hyperopt.backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
|
||||
{'pair': 'UNITTEST/BTC'})
|
||||
|
||||
@@ -588,8 +658,8 @@ def test_populate_indicators(hyperopt, testdatadir) -> None:
|
||||
|
||||
|
||||
def test_buy_strategy_generator(hyperopt, testdatadir) -> None:
|
||||
tickerlist = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
|
||||
dataframes = hyperopt.backtesting.strategy.tickerdata_to_dataframe(tickerlist)
|
||||
data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], fill_up_missing=True)
|
||||
dataframes = hyperopt.backtesting.strategy.ohlcvdata_to_dataframe(data)
|
||||
dataframe = hyperopt.custom_hyperopt.populate_indicators(dataframes['UNITTEST/BTC'],
|
||||
{'pair': 'UNITTEST/BTC'})
|
||||
|
||||
@@ -729,7 +799,7 @@ def test_clean_hyperopt(mocker, default_conf, caplog):
|
||||
h = Hyperopt(default_conf)
|
||||
|
||||
assert unlinkmock.call_count == 2
|
||||
assert log_has(f"Removing `{h.tickerdata_pickle}`.", caplog)
|
||||
assert log_has(f"Removing `{h.data_pickle_file}`.", caplog)
|
||||
|
||||
|
||||
def test_continue_hyperopt(mocker, default_conf, caplog):
|
||||
@@ -761,11 +831,23 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {'buy': {'mfi-value': None},
|
||||
'sell': {'sell-mfi-value': None},
|
||||
'roi': {}, 'stoploss': {'stoploss': None},
|
||||
'trailing': {'trailing_stop': None}}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {
|
||||
'buy': {'mfi-value': None},
|
||||
'sell': {'sell-mfi-value': None},
|
||||
'roi': {}, 'stoploss': {'stoploss': None},
|
||||
'trailing': {'trailing_stop': None}
|
||||
},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -779,7 +861,7 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
|
||||
})
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
hyperopt.start()
|
||||
@@ -787,9 +869,13 @@ def test_print_json_spaces_all(mocker, default_conf, caplog, capsys) -> None:
|
||||
parallel.assert_called_once()
|
||||
|
||||
out, err = capsys.readouterr()
|
||||
assert '{"params":{"mfi-value":null,"sell-mfi-value":null},"minimal_roi":{},"stoploss":null,"trailing_stop":null}' in out # noqa: E501
|
||||
result_str = (
|
||||
'{"params":{"mfi-value":null,"sell-mfi-value":null},"minimal_roi"'
|
||||
':{},"stoploss":null,"trailing_stop":null}'
|
||||
)
|
||||
assert result_str in out # noqa: E501
|
||||
assert dumper.called
|
||||
# Should be called twice, once for tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
|
||||
|
||||
@@ -804,10 +890,22 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {'buy': {'mfi-value': None},
|
||||
'sell': {'sell-mfi-value': None},
|
||||
'roi': {}, 'stoploss': {'stoploss': None}}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {
|
||||
'buy': {'mfi-value': None},
|
||||
'sell': {'sell-mfi-value': None},
|
||||
'roi': {}, 'stoploss': {'stoploss': None}
|
||||
},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -821,7 +919,7 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, capsys) -> None
|
||||
})
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
hyperopt.start()
|
||||
@@ -831,7 +929,7 @@ def test_print_json_spaces_default(mocker, default_conf, caplog, 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 tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
|
||||
|
||||
@@ -846,8 +944,18 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {'roi': {}, 'stoploss': {'stoploss': None}}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'params_details': {'roi': {}, 'stoploss': {'stoploss': None}},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -861,7 +969,7 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
|
||||
})
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
hyperopt.start()
|
||||
@@ -871,7 +979,7 @@ def test_print_json_spaces_roi_stoploss(mocker, default_conf, caplog, capsys) ->
|
||||
out, err = capsys.readouterr()
|
||||
assert '{"minimal_roi":{},"stoploss":null}' in out
|
||||
assert dumper.called
|
||||
# Should be called twice, once for tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
|
||||
|
||||
@@ -887,7 +995,16 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {'stoploss': 0.0}}])
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {'stoploss': 0.0},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -899,7 +1016,7 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
del hyperopt.custom_hyperopt.__class__.buy_strategy_generator
|
||||
@@ -914,7 +1031,7 @@ def test_simplified_interface_roi_stoploss(mocker, default_conf, caplog, capsys)
|
||||
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 tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
|
||||
@@ -942,7 +1059,7 @@ def test_simplified_interface_all_failed(mocker, default_conf, caplog, capsys) -
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
del hyperopt.custom_hyperopt.__class__.buy_strategy_generator
|
||||
@@ -965,7 +1082,17 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -977,7 +1104,7 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, capsys) -> None:
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
# TODO: sell_strategy_generator() is actually not called because
|
||||
@@ -992,7 +1119,7 @@ def test_simplified_interface_buy(mocker, default_conf, caplog, 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 tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
|
||||
@@ -1012,7 +1139,17 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
|
||||
|
||||
parallel = mocker.patch(
|
||||
'freqtrade.optimize.hyperopt.Hyperopt.run_optimizer_parallel',
|
||||
MagicMock(return_value=[{'loss': 1, 'results_explanation': 'foo result', 'params': {}}])
|
||||
MagicMock(return_value=[{
|
||||
'loss': 1, 'results_explanation': 'foo result', 'params': {},
|
||||
'results_metrics':
|
||||
{
|
||||
'trade_count': 1,
|
||||
'avg_profit': 0.1,
|
||||
'total_profit': 0.001,
|
||||
'profit': 1.0,
|
||||
'duration': 20.0
|
||||
}
|
||||
}])
|
||||
)
|
||||
patch_exchange(mocker)
|
||||
|
||||
@@ -1024,7 +1161,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, capsys) -> None
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
# TODO: buy_strategy_generator() is actually not called because
|
||||
@@ -1039,7 +1176,7 @@ def test_simplified_interface_sell(mocker, default_conf, caplog, 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 tickerdata, once to save evaluations
|
||||
# Should be called twice, once for historical candle data, once to save evaluations
|
||||
assert dumper.call_count == 2
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_sell")
|
||||
assert hasattr(hyperopt.backtesting.strategy, "advise_buy")
|
||||
@@ -1073,7 +1210,7 @@ def test_simplified_interface_failed(mocker, default_conf, caplog, capsys, metho
|
||||
'hyperopt_jobs': 1, })
|
||||
|
||||
hyperopt = Hyperopt(default_conf)
|
||||
hyperopt.backtesting.strategy.tickerdata_to_dataframe = MagicMock()
|
||||
hyperopt.backtesting.strategy.ohlcvdata_to_dataframe = MagicMock()
|
||||
hyperopt.custom_hyperopt.generate_roi_table = MagicMock(return_value={})
|
||||
|
||||
delattr(hyperopt.custom_hyperopt.__class__, method)
|
||||
|
@@ -22,14 +22,14 @@ def test_generate_text_table(default_conf, mocker):
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| Pair | Buys | Avg Profit % | Cum Profit % | Tot Profit BTC |'
|
||||
' Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
|
||||
'|:--------|-------:|---------------:|---------------:|-----------------:|'
|
||||
'---------------:|:---------------|-------:|--------:|---------:|\n'
|
||||
'| 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 |'
|
||||
' 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 |'
|
||||
)
|
||||
assert generate_text_table(data={'ETH/BTC': {}},
|
||||
stake_currency='BTC', max_open_trades=2,
|
||||
@@ -52,13 +52,13 @@ def test_generate_text_table_sell_reason(default_conf, mocker):
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| Sell Reason | Sells | Wins | Draws | Losses |'
|
||||
'| Sell Reason | Sells | Wins | Draws | Losses |'
|
||||
' Avg Profit % | Cum Profit % | Tot Profit BTC | Tot Profit % |\n'
|
||||
'|:--------------|--------:|-------:|--------:|---------:|'
|
||||
'---------------:|---------------:|-----------------:|---------------:|\n'
|
||||
'| roi | 2 | 2 | 0 | 0 |'
|
||||
'|---------------+---------+--------+---------+----------+'
|
||||
'----------------+----------------+------------------+----------------|\n'
|
||||
'| roi | 2 | 2 | 0 | 0 |'
|
||||
' 15 | 30 | 0.6 | 15 |\n'
|
||||
'| stop_loss | 1 | 0 | 0 | 1 |'
|
||||
'| stop_loss | 1 | 0 | 0 | 1 |'
|
||||
' -10 | -10 | -0.2 | -5 |'
|
||||
)
|
||||
assert generate_text_table_sell_reason(
|
||||
@@ -95,14 +95,14 @@ def test_generate_text_table_strategy(default_conf, mocker):
|
||||
)
|
||||
|
||||
result_str = (
|
||||
'| Strategy | Buys | Avg Profit % | Cum Profit % | Tot'
|
||||
' Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
|
||||
'|:--------------|-------:|---------------:|---------------:|------'
|
||||
'-----------:|---------------:|:---------------|-------:|--------:|---------:|\n'
|
||||
'| TestStrategy1 | 3 | 20.00 | 60.00 | '
|
||||
' 1.10000000 | 30.00 | 0:17:00 | 3 | 0 | 0 |\n'
|
||||
'| TestStrategy2 | 3 | 30.00 | 90.00 | '
|
||||
' 1.30000000 | 45.00 | 0:20:00 | 3 | 0 | 0 |'
|
||||
'| Strategy | Buys | Avg Profit % | Cum Profit % | Tot'
|
||||
' Profit BTC | Tot Profit % | Avg Duration | Wins | Draws | Losses |\n'
|
||||
'|---------------+--------+----------------+----------------+------------------+'
|
||||
'----------------+----------------+--------+---------+----------|\n'
|
||||
'| TestStrategy1 | 3 | 20.00 | 60.00 | 1.10000000 |'
|
||||
' 30.00 | 0:17:00 | 3 | 0 | 0 |\n'
|
||||
'| TestStrategy2 | 3 | 30.00 | 90.00 | 1.30000000 |'
|
||||
' 45.00 | 0:20:00 | 3 | 0 | 0 |'
|
||||
)
|
||||
assert generate_text_table_strategy('BTC', 2, all_results=results) == result_str
|
||||
|
||||
@@ -111,8 +111,7 @@ def test_generate_edge_table(edge_conf, mocker):
|
||||
|
||||
results = {}
|
||||
results['ETH/BTC'] = PairInfo(-0.01, 0.60, 2, 1, 3, 10, 60)
|
||||
|
||||
assert generate_edge_table(results).count(':|') == 7
|
||||
assert generate_edge_table(results).count('+') == 7
|
||||
assert generate_edge_table(results).count('| ETH/BTC |') == 1
|
||||
assert generate_edge_table(results).count(
|
||||
'| Risk Reward Ratio | Required Risk Reward | Expectancy |') == 1
|
||||
|
@@ -240,8 +240,6 @@ def test_pairlist_class(mocker, whitelist_conf, markets, pairlist):
|
||||
(['ETH/BTC', 'TKN/BTC', 'ETH/USDT'], "is not compatible with your stake currency"),
|
||||
# BCH/BTC not available
|
||||
(['ETH/BTC', 'TKN/BTC', 'BCH/BTC'], "is not compatible with exchange"),
|
||||
# BLK/BTC in blacklist
|
||||
(['ETH/BTC', 'TKN/BTC', 'BLK/BTC'], "in your blacklist. Removing "),
|
||||
# BTT/BTC is inactive
|
||||
(['ETH/BTC', 'TKN/BTC', 'BTT/BTC'], "Market is not active")
|
||||
])
|
||||
|
@@ -8,7 +8,7 @@ import pytest
|
||||
from requests.exceptions import RequestException
|
||||
|
||||
from freqtrade.rpc.fiat_convert import CryptoFiat, CryptoToFiatConverter
|
||||
from tests.conftest import log_has
|
||||
from tests.conftest import log_has, log_has_re
|
||||
|
||||
|
||||
def test_pair_convertion_object():
|
||||
@@ -22,8 +22,8 @@ def test_pair_convertion_object():
|
||||
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.crypto_symbol == 'btc'
|
||||
assert pair_convertion.fiat_symbol == 'usd'
|
||||
assert pair_convertion.price == 12345.0
|
||||
assert pair_convertion.is_expired() is False
|
||||
|
||||
@@ -57,15 +57,15 @@ def test_fiat_convert_add_pair(mocker):
|
||||
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].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].crypto_symbol == 'btc'
|
||||
assert fiat_convert._pairs[1].fiat_symbol == 'eur'
|
||||
assert fiat_convert._pairs[1].price == 13000.2
|
||||
|
||||
|
||||
@@ -100,15 +100,15 @@ def test_fiat_convert_get_price(mocker):
|
||||
|
||||
fiat_convert = CryptoToFiatConverter()
|
||||
|
||||
with pytest.raises(ValueError, match=r'The fiat US DOLLAR is not supported.'):
|
||||
fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='US Dollar')
|
||||
with pytest.raises(ValueError, match=r'The fiat us dollar is not supported.'):
|
||||
fiat_convert.get_price(crypto_symbol='btc', fiat_symbol='US Dollar')
|
||||
|
||||
# Check the value return by the method
|
||||
pair_len = len(fiat_convert._pairs)
|
||||
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.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
|
||||
@@ -116,13 +116,13 @@ def test_fiat_convert_get_price(mocker):
|
||||
# Verify the cached is used
|
||||
fiat_convert._pairs[0].price = 9867.543
|
||||
expiration = fiat_convert._pairs[0]._expiration
|
||||
assert fiat_convert.get_price(crypto_symbol='BTC', fiat_symbol='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.get_price(crypto_symbol='btc', fiat_symbol='usd') == 28000.0
|
||||
assert fiat_convert._pairs[0]._expiration is not expiration
|
||||
|
||||
|
||||
@@ -143,15 +143,15 @@ def test_loadcryptomap(mocker):
|
||||
fiat_convert = CryptoToFiatConverter()
|
||||
assert len(fiat_convert._cryptomap) == 2
|
||||
|
||||
assert fiat_convert._cryptomap["BTC"] == "1"
|
||||
assert fiat_convert._cryptomap["btc"] == "bitcoin"
|
||||
|
||||
|
||||
def test_fiat_init_network_exception(mocker):
|
||||
# Because CryptoToFiatConverter is a Singleton we reset the listings
|
||||
listmock = MagicMock(side_effect=RequestException)
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
listings=listmock,
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_coins_list=listmock,
|
||||
)
|
||||
# with pytest.raises(RequestEsxception):
|
||||
fiat_convert = CryptoToFiatConverter()
|
||||
@@ -163,24 +163,24 @@ def test_fiat_init_network_exception(mocker):
|
||||
|
||||
|
||||
def test_fiat_convert_without_network(mocker):
|
||||
# Because CryptoToFiatConverter is a Singleton we reset the value of _coinmarketcap
|
||||
# Because CryptoToFiatConverter is a Singleton we reset the value of _coingekko
|
||||
|
||||
fiat_convert = CryptoToFiatConverter()
|
||||
|
||||
cmc_temp = CryptoToFiatConverter._coinmarketcap
|
||||
CryptoToFiatConverter._coinmarketcap = None
|
||||
cmc_temp = CryptoToFiatConverter._coingekko
|
||||
CryptoToFiatConverter._coingekko = None
|
||||
|
||||
assert fiat_convert._coinmarketcap is None
|
||||
assert fiat_convert._find_price(crypto_symbol='BTC', fiat_symbol='USD') == 0.0
|
||||
CryptoToFiatConverter._coinmarketcap = cmc_temp
|
||||
assert fiat_convert._coingekko is None
|
||||
assert fiat_convert._find_price(crypto_symbol='btc', fiat_symbol='usd') == 0.0
|
||||
CryptoToFiatConverter._coingekko = cmc_temp
|
||||
|
||||
|
||||
def test_fiat_invalid_response(mocker, caplog):
|
||||
# Because CryptoToFiatConverter is a Singleton we reset the listings
|
||||
listmock = MagicMock(return_value="{'novalidjson':DEADBEEFf}")
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
listings=listmock,
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_coins_list=listmock,
|
||||
)
|
||||
# with pytest.raises(RequestEsxception):
|
||||
fiat_convert = CryptoToFiatConverter()
|
||||
@@ -189,8 +189,8 @@ def test_fiat_invalid_response(mocker, caplog):
|
||||
|
||||
length_cryptomap = len(fiat_convert._cryptomap)
|
||||
assert length_cryptomap == 0
|
||||
assert log_has('Could not load FIAT Cryptocurrency map for the following problem: TypeError',
|
||||
caplog)
|
||||
assert log_has_re('Could not load FIAT Cryptocurrency map for the following problem: .*',
|
||||
caplog)
|
||||
|
||||
|
||||
def test_convert_amount(mocker):
|
||||
|
@@ -51,13 +51,13 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
|
||||
'open_date_hum': ANY,
|
||||
'close_date': None,
|
||||
'close_date_hum': None,
|
||||
'open_rate': 1.099e-05,
|
||||
'open_rate': 1.098e-05,
|
||||
'close_rate': None,
|
||||
'current_rate': 1.098e-05,
|
||||
'amount': 90.99181074,
|
||||
'current_rate': 1.099e-05,
|
||||
'amount': 91.07468124,
|
||||
'stake_amount': 0.001,
|
||||
'close_profit': None,
|
||||
'current_profit': -0.59,
|
||||
'current_profit': -0.41,
|
||||
'stop_loss': 0.0,
|
||||
'initial_stop_loss': 0.0,
|
||||
'initial_stop_loss_pct': None,
|
||||
@@ -65,10 +65,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
|
||||
'open_order': '(limit buy rem=0.00000000)'
|
||||
} == results[0]
|
||||
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
|
||||
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
|
||||
MagicMock(side_effect=DependencyException(f"Pair 'ETH/BTC' not available")))
|
||||
# invalidate ticker cache
|
||||
rpc._freqtrade.exchange._cached_ticker = {}
|
||||
results = rpc._rpc_trade_status()
|
||||
assert isnan(results[0]['current_profit'])
|
||||
assert isnan(results[0]['current_rate'])
|
||||
@@ -80,10 +78,10 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
|
||||
'open_date_hum': ANY,
|
||||
'close_date': None,
|
||||
'close_date_hum': None,
|
||||
'open_rate': 1.099e-05,
|
||||
'open_rate': 1.098e-05,
|
||||
'close_rate': None,
|
||||
'current_rate': ANY,
|
||||
'amount': 90.99181074,
|
||||
'amount': 91.07468124,
|
||||
'stake_amount': 0.001,
|
||||
'close_profit': None,
|
||||
'current_profit': ANY,
|
||||
@@ -97,8 +95,8 @@ def test_rpc_trade_status(default_conf, ticker, fee, mocker) -> None:
|
||||
|
||||
def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
|
||||
)
|
||||
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
@@ -123,7 +121,7 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
|
||||
assert "Pair" in headers
|
||||
assert 'instantly' == result[0][2]
|
||||
assert 'ETH/BTC' in result[0][1]
|
||||
assert '-0.59%' == result[0][3]
|
||||
assert '-0.41%' == result[0][3]
|
||||
# Test with fiatconvert
|
||||
|
||||
rpc._fiat_converter = CryptoToFiatConverter()
|
||||
@@ -132,12 +130,10 @@ def test_rpc_status_table(default_conf, ticker, fee, mocker) -> None:
|
||||
assert "Pair" in headers
|
||||
assert 'instantly' == result[0][2]
|
||||
assert 'ETH/BTC' in result[0][1]
|
||||
assert '-0.59% (-0.09)' == result[0][3]
|
||||
assert '-0.41% (-0.06)' == result[0][3]
|
||||
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
|
||||
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
|
||||
MagicMock(side_effect=DependencyException(f"Pair 'ETH/BTC' not available")))
|
||||
# invalidate ticker cache
|
||||
rpc._freqtrade.exchange._cached_ticker = {}
|
||||
result, headers = rpc._rpc_status_table(default_conf['stake_currency'], 'USD')
|
||||
assert 'instantly' == result[0][2]
|
||||
assert 'ETH/BTC' in result[0][1]
|
||||
@@ -182,7 +178,7 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
|
||||
day[1] == '0.00006217 BTC')
|
||||
|
||||
assert (day[2] == '0.000 USD' or
|
||||
day[2] == '0.933 USD')
|
||||
day[2] == '0.767 USD')
|
||||
# ensure first day is current date
|
||||
assert str(days[0][0]) == str(datetime.utcnow().date())
|
||||
|
||||
@@ -194,8 +190,8 @@ def test_rpc_daily_profit(default_conf, update, ticker, fee,
|
||||
def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
limit_buy_order, limit_sell_order, mocker) -> None:
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
|
||||
)
|
||||
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
@@ -249,9 +245,9 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
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_fiat'], 0.93255)
|
||||
assert prec_satoshi(stats['profit_all_coin'], 5.632e-05)
|
||||
assert prec_satoshi(stats['profit_all_percent'], 2.81)
|
||||
assert prec_satoshi(stats['profit_all_fiat'], 0.8448)
|
||||
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_fiat'], 0.8703)
|
||||
assert stats['trade_count'] == 2
|
||||
assert stats['first_trade_date'] == 'just now'
|
||||
assert stats['latest_trade_date'] == 'just now'
|
||||
@@ -260,10 +256,8 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
assert prec_satoshi(stats['best_rate'], 6.2)
|
||||
|
||||
# Test non-available pair
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
|
||||
mocker.patch('freqtrade.freqtradebot.FreqtradeBot.get_sell_rate',
|
||||
MagicMock(side_effect=DependencyException(f"Pair 'ETH/BTC' not available")))
|
||||
# invalidate ticker cache
|
||||
rpc._freqtrade.exchange._cached_ticker = {}
|
||||
stats = rpc._rpc_trade_statistics(stake_currency, fiat_display_currency)
|
||||
assert stats['trade_count'] == 2
|
||||
assert stats['first_trade_date'] == 'just now'
|
||||
@@ -279,8 +273,8 @@ def test_rpc_trade_statistics(default_conf, ticker, ticker_sell_up, fee,
|
||||
def test_rpc_trade_statistics_closed(mocker, default_conf, ticker, fee,
|
||||
ticker_sell_up, limit_buy_order, limit_sell_order):
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
|
||||
)
|
||||
mocker.patch('freqtrade.rpc.fiat_convert.CryptoToFiatConverter._find_price',
|
||||
return_value=15000.0)
|
||||
@@ -347,8 +341,8 @@ def test_rpc_balance_handle_error(default_conf, mocker):
|
||||
# ETH will be skipped due to mocked Error below
|
||||
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
|
||||
)
|
||||
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
@@ -386,8 +380,8 @@ def test_rpc_balance_handle(default_conf, mocker, tickers):
|
||||
}
|
||||
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.rpc.fiat_convert.Market',
|
||||
ticker=MagicMock(return_value={'price_usd': 15000.0}),
|
||||
'freqtrade.rpc.fiat_convert.CoinGeckoAPI',
|
||||
get_price=MagicMock(return_value={'bitcoin': {'usd': 15000.0}}),
|
||||
)
|
||||
mocker.patch('freqtrade.rpc.rpc.CryptoToFiatConverter._find_price', return_value=15000.0)
|
||||
mocker.patch('freqtrade.rpc.telegram.Telegram', MagicMock())
|
||||
@@ -674,7 +668,7 @@ def test_rpcforcebuy(mocker, default_conf, ticker, fee, limit_buy_order) -> None
|
||||
trade = rpc._rpc_forcebuy(pair, None)
|
||||
assert isinstance(trade, Trade)
|
||||
assert trade.pair == pair
|
||||
assert trade.open_rate == ticker()['ask']
|
||||
assert trade.open_rate == ticker()['bid']
|
||||
|
||||
# Test buy duplicate
|
||||
with pytest.raises(RPCException, match=r'position for ETH/BTC already open - id: 1'):
|
||||
@@ -687,7 +681,7 @@ def test_rpcforcebuy(mocker, default_conf, ticker, fee, limit_buy_order) -> None
|
||||
|
||||
# Test buy pair not with stakes
|
||||
with pytest.raises(RPCException, match=r'Wrong pair selected. Please pairs with stake.*'):
|
||||
rpc._rpc_forcebuy('XRP/ETH', 0.0001)
|
||||
rpc._rpc_forcebuy('LTC/ETH', 0.0001)
|
||||
pair = 'XRP/BTC'
|
||||
|
||||
# Test not buying
|
||||
|
@@ -426,20 +426,20 @@ def test_api_status(botclient, mocker, ticker, fee, markets):
|
||||
rc = client_get(client, f"{BASE_URI}/status")
|
||||
assert_response(rc)
|
||||
assert len(rc.json) == 1
|
||||
assert rc.json == [{'amount': 90.99181074,
|
||||
assert rc.json == [{'amount': 91.07468124,
|
||||
'base_currency': 'BTC',
|
||||
'close_date': None,
|
||||
'close_date_hum': None,
|
||||
'close_profit': None,
|
||||
'close_rate': None,
|
||||
'current_profit': -0.59,
|
||||
'current_rate': 1.098e-05,
|
||||
'current_profit': -0.41,
|
||||
'current_rate': 1.099e-05,
|
||||
'initial_stop_loss': 0.0,
|
||||
'initial_stop_loss_pct': None,
|
||||
'open_date': ANY,
|
||||
'open_date_hum': 'just now',
|
||||
'open_order': '(limit buy rem=0.00000000)',
|
||||
'open_rate': 1.099e-05,
|
||||
'open_rate': 1.098e-05,
|
||||
'pair': 'ETH/BTC',
|
||||
'stake_amount': 0.001,
|
||||
'stop_loss': 0.0,
|
||||
|
@@ -720,13 +720,13 @@ def test_forcesell_handle(default_conf, update, ticker, fee,
|
||||
'exchange': 'Bittrex',
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'profit',
|
||||
'limit': 1.172e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'limit': 1.173e-05,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.172e-05,
|
||||
'profit_amount': 6.126e-05,
|
||||
'profit_percent': 0.0611052,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.173e-05,
|
||||
'profit_amount': 6.314e-05,
|
||||
'profit_ratio': 0.0629778,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.FORCE_SELL.value,
|
||||
@@ -779,13 +779,13 @@ def test_forcesell_down_handle(default_conf, update, ticker, fee,
|
||||
'exchange': 'Bittrex',
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'loss',
|
||||
'limit': 1.044e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'limit': 1.043e-05,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.044e-05,
|
||||
'profit_amount': -5.492e-05,
|
||||
'profit_percent': -0.05478342,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.043e-05,
|
||||
'profit_amount': -5.497e-05,
|
||||
'profit_ratio': -0.05482878,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.FORCE_SELL.value,
|
||||
@@ -827,13 +827,13 @@ def test_forcesell_all_handle(default_conf, update, ticker, fee, mocker) -> None
|
||||
'exchange': 'Bittrex',
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'loss',
|
||||
'limit': 1.098e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'limit': 1.099e-05,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.098e-05,
|
||||
'profit_amount': -5.91e-06,
|
||||
'profit_percent': -0.00589291,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.099e-05,
|
||||
'profit_amount': -4.09e-06,
|
||||
'profit_ratio': -0.00408133,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.FORCE_SELL.value,
|
||||
@@ -1210,7 +1210,7 @@ def test_send_msg_buy_notification(default_conf, mocker) -> None:
|
||||
'*Amount:* `1333.33333333`\n' \
|
||||
'*Open Rate:* `0.00001099`\n' \
|
||||
'*Current Rate:* `0.00001099`\n' \
|
||||
'*Total:* `(0.001000 BTC, 0.000 USD)`'
|
||||
'*Total:* `(0.001000 BTC, 12.345 USD)`'
|
||||
|
||||
|
||||
def test_send_msg_buy_cancel_notification(default_conf, mocker) -> None:
|
||||
@@ -1253,7 +1253,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
|
||||
'open_rate': 7.5e-05,
|
||||
'current_rate': 3.201e-05,
|
||||
'profit_amount': -0.05746268,
|
||||
'profit_percent': -0.57405275,
|
||||
'profit_ratio': -0.57405275,
|
||||
'stake_currency': 'ETH',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.STOP_LOSS.value,
|
||||
@@ -1282,7 +1282,7 @@ def test_send_msg_sell_notification(default_conf, mocker) -> None:
|
||||
'open_rate': 7.5e-05,
|
||||
'current_rate': 3.201e-05,
|
||||
'profit_amount': -0.05746268,
|
||||
'profit_percent': -0.57405275,
|
||||
'profit_ratio': -0.57405275,
|
||||
'stake_currency': 'ETH',
|
||||
'sell_reason': SellType.STOP_LOSS.value,
|
||||
'open_date': arrow.utcnow().shift(days=-1, hours=-2, minutes=-30),
|
||||
@@ -1448,7 +1448,7 @@ def test_send_msg_sell_notification_no_fiat(default_conf, mocker) -> None:
|
||||
'open_rate': 7.5e-05,
|
||||
'current_rate': 3.201e-05,
|
||||
'profit_amount': -0.05746268,
|
||||
'profit_percent': -0.57405275,
|
||||
'profit_ratio': -0.57405275,
|
||||
'stake_currency': 'ETH',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.STOP_LOSS.value,
|
||||
|
@@ -28,12 +28,12 @@ def get_webhook_dict() -> dict:
|
||||
"webhooksell": {
|
||||
"value1": "Selling {pair}",
|
||||
"value2": "limit {limit:8f}",
|
||||
"value3": "profit: {profit_amount:8f} {stake_currency}"
|
||||
"value3": "profit: {profit_amount:8f} {stake_currency} ({profit_ratio})"
|
||||
},
|
||||
"webhooksellcancel": {
|
||||
"value1": "Cancelling Open Sell Order for {pair}",
|
||||
"value2": "limit {limit:8f}",
|
||||
"value3": "profit: {profit_amount:8f} {stake_currency}"
|
||||
"value3": "profit: {profit_amount:8f} {stake_currency} ({profit_ratio})"
|
||||
},
|
||||
"webhookstatus": {
|
||||
"value1": "Status: {status}",
|
||||
@@ -110,7 +110,7 @@ def test_send_msg(default_conf, mocker):
|
||||
'open_rate': 0.004,
|
||||
'current_rate': 0.005,
|
||||
'profit_amount': 0.001,
|
||||
'profit_percent': 0.20,
|
||||
'profit_ratio': 0.20,
|
||||
'stake_currency': 'BTC',
|
||||
'sell_reason': SellType.STOP_LOSS.value
|
||||
}
|
||||
@@ -136,7 +136,7 @@ def test_send_msg(default_conf, mocker):
|
||||
'open_rate': 0.004,
|
||||
'current_rate': 0.005,
|
||||
'profit_amount': 0.001,
|
||||
'profit_percent': 0.20,
|
||||
'profit_ratio': 0.20,
|
||||
'stake_currency': 'BTC',
|
||||
'sell_reason': SellType.STOP_LOSS.value
|
||||
}
|
||||
|
@@ -68,7 +68,7 @@ class DefaultStrategy(IStrategy):
|
||||
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: Raw data from the exchange and parsed by parse_ticker_dataframe()
|
||||
: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
|
||||
"""
|
||||
|
@@ -21,69 +21,69 @@ from .strats.default_strategy import DefaultStrategy
|
||||
_STRATEGY = DefaultStrategy(config={})
|
||||
|
||||
|
||||
def test_returns_latest_buy_signal(mocker, default_conf, ticker_history):
|
||||
def test_returns_latest_buy_signal(mocker, default_conf, ohlcv_history):
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
return_value=DataFrame([{'buy': 1, 'sell': 0, 'date': arrow.utcnow()}])
|
||||
)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (True, False)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (True, False)
|
||||
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
return_value=DataFrame([{'buy': 0, 'sell': 1, 'date': arrow.utcnow()}])
|
||||
)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (False, True)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, True)
|
||||
|
||||
|
||||
def test_returns_latest_sell_signal(mocker, default_conf, ticker_history):
|
||||
def test_returns_latest_sell_signal(mocker, default_conf, ohlcv_history):
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
return_value=DataFrame([{'sell': 1, 'buy': 0, 'date': arrow.utcnow()}])
|
||||
)
|
||||
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (False, True)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (False, True)
|
||||
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
return_value=DataFrame([{'sell': 0, 'buy': 1, 'date': arrow.utcnow()}])
|
||||
)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ticker_history) == (True, False)
|
||||
assert _STRATEGY.get_signal('ETH/BTC', '5m', ohlcv_history) == (True, False)
|
||||
|
||||
|
||||
def test_get_signal_empty(default_conf, mocker, caplog):
|
||||
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
|
||||
DataFrame())
|
||||
assert log_has('Empty ticker history for pair foo', caplog)
|
||||
assert log_has('Empty candle (OHLCV) data for pair foo', caplog)
|
||||
caplog.clear()
|
||||
|
||||
assert (False, False) == _STRATEGY.get_signal('bar', default_conf['ticker_interval'],
|
||||
[])
|
||||
assert log_has('Empty ticker history for pair bar', caplog)
|
||||
assert log_has('Empty candle (OHLCV) data for pair bar', caplog)
|
||||
|
||||
|
||||
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ticker_history):
|
||||
def test_get_signal_exception_valueerror(default_conf, mocker, caplog, ohlcv_history):
|
||||
caplog.set_level(logging.INFO)
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
side_effect=ValueError('xyz')
|
||||
)
|
||||
assert (False, False) == _STRATEGY.get_signal('foo', default_conf['ticker_interval'],
|
||||
ticker_history)
|
||||
ohlcv_history)
|
||||
assert log_has_re(r'Strategy caused the following exception: xyz.*', caplog)
|
||||
|
||||
|
||||
def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ticker_history):
|
||||
def test_get_signal_empty_dataframe(default_conf, mocker, caplog, ohlcv_history):
|
||||
caplog.set_level(logging.INFO)
|
||||
mocker.patch.object(
|
||||
_STRATEGY, '_analyze_ticker_internal',
|
||||
return_value=DataFrame([])
|
||||
)
|
||||
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
|
||||
ticker_history)
|
||||
ohlcv_history)
|
||||
assert log_has('Empty dataframe for pair xyz', caplog)
|
||||
|
||||
|
||||
def test_get_signal_old_dataframe(default_conf, mocker, caplog, ticker_history):
|
||||
def test_get_signal_old_dataframe(default_conf, mocker, caplog, ohlcv_history):
|
||||
caplog.set_level(logging.INFO)
|
||||
# default_conf defines a 5m interval. we check interval * 2 + 5m
|
||||
# this is necessary as the last candle is removed (partial candles) by default
|
||||
@@ -94,7 +94,7 @@ def test_get_signal_old_dataframe(default_conf, mocker, caplog, ticker_history):
|
||||
return_value=DataFrame(ticks)
|
||||
)
|
||||
assert (False, False) == _STRATEGY.get_signal('xyz', default_conf['ticker_interval'],
|
||||
ticker_history)
|
||||
ohlcv_history)
|
||||
assert log_has('Outdated history for pair xyz. Last tick is 16 minutes old', caplog)
|
||||
|
||||
|
||||
@@ -107,15 +107,15 @@ def test_get_signal_handles_exceptions(mocker, default_conf):
|
||||
assert _STRATEGY.get_signal(exchange, 'ETH/BTC', '5m') == (False, False)
|
||||
|
||||
|
||||
def test_tickerdata_to_dataframe(default_conf, testdatadir) -> None:
|
||||
def test_ohlcvdata_to_dataframe(default_conf, testdatadir) -> None:
|
||||
default_conf.update({'strategy': 'DefaultStrategy'})
|
||||
strategy = StrategyResolver.load_strategy(default_conf)
|
||||
|
||||
timerange = TimeRange.parse_timerange('1510694220-1510700340')
|
||||
tickerlist = load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
|
||||
fill_up_missing=True)
|
||||
data = strategy.tickerdata_to_dataframe(tickerlist)
|
||||
assert len(data['UNITTEST/BTC']) == 102 # partial candle was removed
|
||||
data = load_data(testdatadir, '1m', ['UNITTEST/BTC'], timerange=timerange,
|
||||
fill_up_missing=True)
|
||||
processed = strategy.ohlcvdata_to_dataframe(data)
|
||||
assert len(processed['UNITTEST/BTC']) == 102 # partial candle was removed
|
||||
|
||||
|
||||
def test_min_roi_reached(default_conf, fee) -> None:
|
||||
@@ -226,7 +226,7 @@ def test_min_roi_reached3(default_conf, fee) -> None:
|
||||
assert strategy.min_roi_reached(trade, 0.31, arrow.utcnow().shift(minutes=-2).datetime)
|
||||
|
||||
|
||||
def test_analyze_ticker_default(ticker_history, mocker, caplog) -> None:
|
||||
def test_analyze_ticker_default(ohlcv_history, mocker, caplog) -> None:
|
||||
caplog.set_level(logging.DEBUG)
|
||||
ind_mock = MagicMock(side_effect=lambda x, meta: x)
|
||||
buy_mock = MagicMock(side_effect=lambda x, meta: x)
|
||||
@@ -239,7 +239,7 @@ def test_analyze_ticker_default(ticker_history, mocker, caplog) -> None:
|
||||
|
||||
)
|
||||
strategy = DefaultStrategy({})
|
||||
strategy.analyze_ticker(ticker_history, {'pair': 'ETH/BTC'})
|
||||
strategy.analyze_ticker(ohlcv_history, {'pair': 'ETH/BTC'})
|
||||
assert ind_mock.call_count == 1
|
||||
assert buy_mock.call_count == 1
|
||||
assert buy_mock.call_count == 1
|
||||
@@ -248,7 +248,7 @@ def test_analyze_ticker_default(ticker_history, mocker, caplog) -> None:
|
||||
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
|
||||
caplog.clear()
|
||||
|
||||
strategy.analyze_ticker(ticker_history, {'pair': 'ETH/BTC'})
|
||||
strategy.analyze_ticker(ohlcv_history, {'pair': 'ETH/BTC'})
|
||||
# No analysis happens as process_only_new_candles is true
|
||||
assert ind_mock.call_count == 2
|
||||
assert buy_mock.call_count == 2
|
||||
@@ -257,7 +257,7 @@ def test_analyze_ticker_default(ticker_history, mocker, caplog) -> None:
|
||||
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
|
||||
|
||||
|
||||
def test__analyze_ticker_internal_skip_analyze(ticker_history, mocker, caplog) -> None:
|
||||
def test__analyze_ticker_internal_skip_analyze(ohlcv_history, mocker, caplog) -> None:
|
||||
caplog.set_level(logging.DEBUG)
|
||||
ind_mock = MagicMock(side_effect=lambda x, meta: x)
|
||||
buy_mock = MagicMock(side_effect=lambda x, meta: x)
|
||||
@@ -272,7 +272,7 @@ def test__analyze_ticker_internal_skip_analyze(ticker_history, mocker, caplog) -
|
||||
strategy = DefaultStrategy({})
|
||||
strategy.process_only_new_candles = True
|
||||
|
||||
ret = strategy._analyze_ticker_internal(ticker_history, {'pair': 'ETH/BTC'})
|
||||
ret = strategy._analyze_ticker_internal(ohlcv_history, {'pair': 'ETH/BTC'})
|
||||
assert 'high' in ret.columns
|
||||
assert 'low' in ret.columns
|
||||
assert 'close' in ret.columns
|
||||
@@ -284,7 +284,7 @@ def test__analyze_ticker_internal_skip_analyze(ticker_history, mocker, caplog) -
|
||||
assert not log_has('Skipping TA Analysis for already analyzed candle', caplog)
|
||||
caplog.clear()
|
||||
|
||||
ret = strategy._analyze_ticker_internal(ticker_history, {'pair': 'ETH/BTC'})
|
||||
ret = strategy._analyze_ticker_internal(ohlcv_history, {'pair': 'ETH/BTC'})
|
||||
# No analysis happens as process_only_new_candles is true
|
||||
assert ind_mock.call_count == 1
|
||||
assert buy_mock.call_count == 1
|
||||
|
@@ -34,13 +34,6 @@ def all_conf():
|
||||
return conf
|
||||
|
||||
|
||||
def test_load_config_invalid_pair(default_conf) -> None:
|
||||
default_conf['exchange']['pair_whitelist'].append('ETH-BTC')
|
||||
|
||||
with pytest.raises(ValidationError, match=r'.*does not match.*'):
|
||||
validate_config_schema(default_conf)
|
||||
|
||||
|
||||
def test_load_config_missing_attributes(default_conf) -> None:
|
||||
conf = deepcopy(default_conf)
|
||||
conf.pop('exchange')
|
||||
@@ -326,6 +319,7 @@ def test_load_dry_run(default_conf, mocker, config_value, expected, arglist) ->
|
||||
validated_conf = configuration.load_config()
|
||||
|
||||
assert validated_conf['dry_run'] is expected
|
||||
assert validated_conf['runmode'] == (RunMode.DRY_RUN if expected else RunMode.LIVE)
|
||||
|
||||
|
||||
def test_load_custom_strategy(default_conf, mocker) -> None:
|
||||
@@ -810,12 +804,6 @@ def test_validate_whitelist(default_conf):
|
||||
|
||||
validate_config_consistency(conf)
|
||||
|
||||
conf = deepcopy(default_conf)
|
||||
conf['stake_currency'] = 'USDT'
|
||||
with pytest.raises(OperationalException,
|
||||
match=r"Stake-currency 'USDT' not compatible with pair-whitelist.*"):
|
||||
validate_config_consistency(conf)
|
||||
|
||||
|
||||
def test_load_config_test_comments() -> None:
|
||||
"""
|
||||
|
@@ -761,8 +761,8 @@ def test_process_trade_creation(default_conf, ticker, limit_buy_order,
|
||||
assert trade.is_open
|
||||
assert trade.open_date is not None
|
||||
assert trade.exchange == 'bittrex'
|
||||
assert trade.open_rate == 0.00001099
|
||||
assert trade.amount == 90.99181073703367
|
||||
assert trade.open_rate == 0.00001098
|
||||
assert trade.amount == 91.07468123861567
|
||||
|
||||
assert log_has(
|
||||
'Buy signal found: about create a new trade with stake_amount: 0.001 ...', caplog
|
||||
@@ -782,7 +782,7 @@ def test_process_exchange_failures(default_conf, ticker, mocker) -> None:
|
||||
worker = Worker(args=None, config=default_conf)
|
||||
patch_get_signal(worker.freqtrade)
|
||||
|
||||
worker._process()
|
||||
worker._process_running()
|
||||
assert sleep_mock.has_calls()
|
||||
|
||||
|
||||
@@ -799,7 +799,7 @@ def test_process_operational_exception(default_conf, ticker, mocker) -> None:
|
||||
|
||||
assert worker.freqtrade.state == State.RUNNING
|
||||
|
||||
worker._process()
|
||||
worker._process_running()
|
||||
assert worker.freqtrade.state == State.STOPPED
|
||||
assert 'OperationalException' in msg_mock.call_args_list[-1][0][0]['status']
|
||||
|
||||
@@ -906,22 +906,47 @@ def test_process_informative_pairs_added(default_conf, ticker, mocker) -> None:
|
||||
assert ("ETH/BTC", default_conf["ticker_interval"]) in refresh_mock.call_args[0][0]
|
||||
|
||||
|
||||
@pytest.mark.parametrize("ask,last,last_ab,expected", [
|
||||
(20, 10, 0.0, 20), # Full ask side
|
||||
(20, 10, 1.0, 10), # Full last side
|
||||
(20, 10, 0.5, 15), # Between ask and last
|
||||
(20, 10, 0.7, 13), # Between ask and last
|
||||
(20, 10, 0.3, 17), # Between ask and last
|
||||
(5, 10, 1.0, 5), # last bigger than ask
|
||||
(5, 10, 0.5, 5), # last bigger than ask
|
||||
@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', 10, 20, 10, 0.0, 20), # Full bid side
|
||||
('bid', 10, 20, 10, 1.0, 10), # Full last side
|
||||
('bid', 10, 20, 10, 0.5, 15), # Between bid and last
|
||||
('bid', 10, 20, 10, 0.7, 13), # Between bid and last
|
||||
('bid', 10, 20, 10, 0.3, 17), # Between bid and last
|
||||
('bid', 4, 5, 10, 1.0, 5), # last bigger than bid
|
||||
('bid', 4, 5, 10, 0.5, 5), # last bigger than bid
|
||||
('bid', 10, 20, None, 0.5, 20), # last not available - uses bid
|
||||
('bid', 4, 5, None, 0.5, 5), # last not available - uses bid
|
||||
('bid', 4, 5, None, 1, 5), # last not available - uses bid
|
||||
('bid', 4, 5, None, 0, 5), # last not available - uses bid
|
||||
])
|
||||
def test_get_buy_rate(mocker, default_conf, ask, last, last_ab, expected) -> None:
|
||||
def test_get_buy_rate(mocker, default_conf, caplog, side, ask, bid,
|
||||
last, last_ab, expected) -> None:
|
||||
default_conf['bid_strategy']['ask_last_balance'] = last_ab
|
||||
default_conf['bid_strategy']['price_side'] = side
|
||||
freqtrade = get_patched_freqtradebot(mocker, default_conf)
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker',
|
||||
MagicMock(return_value={'ask': ask, 'last': last}))
|
||||
MagicMock(return_value={'ask': ask, 'last': last, 'bid': bid}))
|
||||
|
||||
assert freqtrade.get_buy_rate('ETH/BTC', True) == expected
|
||||
assert not log_has("Using cached buy rate for ETH/BTC.", caplog)
|
||||
|
||||
assert freqtrade.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 freqtrade.get_buy_rate('ETH/BTC', True) == expected
|
||||
assert not log_has("Using cached buy rate for ETH/BTC.", caplog)
|
||||
|
||||
|
||||
def test_execute_buy(mocker, default_conf, fee, limit_buy_order) -> None:
|
||||
@@ -1309,7 +1334,7 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
stoploss_order_mock.assert_not_called()
|
||||
|
||||
assert freqtrade.handle_trade(trade) is False
|
||||
assert trade.stop_loss == 0.00002344 * 0.95
|
||||
assert trade.stop_loss == 0.00002346 * 0.95
|
||||
|
||||
# setting stoploss_on_exchange_interval to 0 seconds
|
||||
freqtrade.strategy.order_types['stoploss_on_exchange_interval'] = 0
|
||||
@@ -1317,10 +1342,10 @@ def test_handle_stoploss_on_exchange_trailing(mocker, default_conf, fee, caplog,
|
||||
assert freqtrade.handle_stoploss_on_exchange(trade) is False
|
||||
|
||||
cancel_order_mock.assert_called_once_with(100, 'ETH/BTC')
|
||||
stoploss_order_mock.assert_called_once_with(amount=85.25149190110828,
|
||||
stoploss_order_mock.assert_called_once_with(amount=85.32423208191126,
|
||||
pair='ETH/BTC',
|
||||
order_types=freqtrade.strategy.order_types,
|
||||
stop_price=0.00002344 * 0.95)
|
||||
stop_price=0.00002346 * 0.95)
|
||||
|
||||
# price fell below stoploss, so dry-run sells trade.
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', MagicMock(return_value={
|
||||
@@ -1502,12 +1527,12 @@ def test_tsl_on_exchange_compatible_with_edge(mocker, edge_conf, fee, caplog,
|
||||
assert freqtrade.handle_stoploss_on_exchange(trade) is False
|
||||
|
||||
# stoploss should be set to 1% as trailing is on
|
||||
assert trade.stop_loss == 0.00002344 * 0.99
|
||||
assert trade.stop_loss == 0.00002346 * 0.99
|
||||
cancel_order_mock.assert_called_once_with(100, 'NEO/BTC')
|
||||
stoploss_order_mock.assert_called_once_with(amount=2131074.168797954,
|
||||
stoploss_order_mock.assert_called_once_with(amount=2132892.491467577,
|
||||
pair='NEO/BTC',
|
||||
order_types=freqtrade.strategy.order_types,
|
||||
stop_price=0.00002344 * 0.99)
|
||||
stop_price=0.00002346 * 0.99)
|
||||
|
||||
|
||||
def test_enter_positions(mocker, default_conf, caplog) -> None:
|
||||
@@ -2290,6 +2315,7 @@ def test_handle_timedout_limit_buy(mocker, default_conf, limit_buy_order) -> Non
|
||||
|
||||
Trade.session = MagicMock()
|
||||
trade = MagicMock()
|
||||
trade.pair = 'LTC/ETH'
|
||||
limit_buy_order['remaining'] = limit_buy_order['amount']
|
||||
assert freqtrade.handle_timedout_limit_buy(trade, limit_buy_order)
|
||||
assert cancel_order_mock.call_count == 1
|
||||
@@ -2313,6 +2339,7 @@ def test_handle_timedout_limit_buy_corder_empty(mocker, default_conf, limit_buy_
|
||||
|
||||
Trade.session = MagicMock()
|
||||
trade = MagicMock()
|
||||
trade.pair = 'LTC/ETH'
|
||||
limit_buy_order['remaining'] = limit_buy_order['amount']
|
||||
assert freqtrade.handle_timedout_limit_buy(trade, limit_buy_order)
|
||||
assert cancel_order_mock.call_count == 1
|
||||
@@ -2380,12 +2407,12 @@ def test_execute_sell_up(default_conf, ticker, fee, ticker_sell_up, mocker) -> N
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'profit',
|
||||
'limit': 1.172e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.172e-05,
|
||||
'profit_amount': 6.126e-05,
|
||||
'profit_percent': 0.0611052,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.173e-05,
|
||||
'profit_amount': 6.223e-05,
|
||||
'profit_ratio': 0.0620716,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.ROI.value,
|
||||
@@ -2429,12 +2456,12 @@ def test_execute_sell_down(default_conf, ticker, fee, ticker_sell_down, mocker)
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'loss',
|
||||
'limit': 1.044e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.044e-05,
|
||||
'profit_amount': -5.492e-05,
|
||||
'profit_percent': -0.05478342,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.043e-05,
|
||||
'profit_amount': -5.406e-05,
|
||||
'profit_ratio': -0.05392257,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.STOP_LOSS.value,
|
||||
@@ -2485,12 +2512,12 @@ def test_execute_sell_down_stoploss_on_exchange_dry_run(default_conf, ticker, fe
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'loss',
|
||||
'limit': 1.08801e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'limit',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.044e-05,
|
||||
'profit_amount': -1.498e-05,
|
||||
'profit_percent': -0.01493766,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.043e-05,
|
||||
'profit_amount': -1.408e-05,
|
||||
'profit_ratio': -0.01404051,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.STOP_LOSS.value,
|
||||
@@ -2675,7 +2702,7 @@ def test_execute_sell_market_order(default_conf, ticker, fee,
|
||||
freqtrade.execute_sell(trade=trade, limit=ticker_sell_up()['bid'], sell_reason=SellType.ROI)
|
||||
|
||||
assert not trade.is_open
|
||||
assert trade.close_profit == 0.0611052
|
||||
assert trade.close_profit == 0.0620716
|
||||
|
||||
assert rpc_mock.call_count == 2
|
||||
last_msg = rpc_mock.call_args_list[-1][0][0]
|
||||
@@ -2685,12 +2712,12 @@ def test_execute_sell_market_order(default_conf, ticker, fee,
|
||||
'pair': 'ETH/BTC',
|
||||
'gain': 'profit',
|
||||
'limit': 1.172e-05,
|
||||
'amount': 90.99181073703367,
|
||||
'amount': 91.07468123861567,
|
||||
'order_type': 'market',
|
||||
'open_rate': 1.099e-05,
|
||||
'current_rate': 1.172e-05,
|
||||
'profit_amount': 6.126e-05,
|
||||
'profit_percent': 0.0611052,
|
||||
'open_rate': 1.098e-05,
|
||||
'current_rate': 1.173e-05,
|
||||
'profit_amount': 6.223e-05,
|
||||
'profit_ratio': 0.0620716,
|
||||
'stake_currency': 'BTC',
|
||||
'fiat_currency': 'USD',
|
||||
'sell_reason': SellType.ROI.value,
|
||||
@@ -3712,29 +3739,55 @@ def test_order_book_ask_strategy(default_conf, limit_buy_order, limit_sell_order
|
||||
assert freqtrade.handle_trade(trade) is True
|
||||
|
||||
|
||||
def test_get_sell_rate(default_conf, mocker, ticker, order_book_l2) -> None:
|
||||
|
||||
mocker.patch.multiple(
|
||||
'freqtrade.exchange.Exchange',
|
||||
get_order_book=order_book_l2,
|
||||
fetch_ticker=ticker,
|
||||
)
|
||||
@pytest.mark.parametrize('side,ask,bid,expected', [
|
||||
('bid', 10.0, 11.0, 11.0),
|
||||
('bid', 10.0, 11.2, 11.2),
|
||||
('bid', 10.0, 11.0, 11.0),
|
||||
('bid', 9.8, 11.0, 11.0),
|
||||
('bid', 0.0001, 0.002, 0.002),
|
||||
('ask', 10.0, 11.0, 10.0),
|
||||
('ask', 10.11, 11.2, 10.11),
|
||||
('ask', 0.001, 0.002, 0.001),
|
||||
('ask', 0.006, 1.0, 0.006),
|
||||
])
|
||||
def test_get_sell_rate(default_conf, mocker, caplog, side, bid, ask, expected) -> None:
|
||||
default_conf['ask_strategy']['price_side'] = side
|
||||
mocker.patch('freqtrade.exchange.Exchange.fetch_ticker', return_value={'ask': ask, 'bid': bid})
|
||||
pair = "ETH/BTC"
|
||||
|
||||
# Test regular mode
|
||||
ft = get_patched_freqtradebot(mocker, default_conf)
|
||||
rate = ft.get_sell_rate(pair, True)
|
||||
assert not log_has("Using cached sell rate for ETH/BTC.", caplog)
|
||||
assert isinstance(rate, float)
|
||||
assert rate == 0.00001098
|
||||
assert rate == expected
|
||||
# Use caching
|
||||
rate = ft.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):
|
||||
# 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
|
||||
# TODO: min/max is irrelevant for this test until refactoring
|
||||
pair = "ETH/BTC"
|
||||
mocker.patch('freqtrade.exchange.Exchange.get_order_book', order_book_l2)
|
||||
ft = get_patched_freqtradebot(mocker, default_conf)
|
||||
rate = ft.get_sell_rate(pair, True)
|
||||
assert not log_has("Using cached sell rate for ETH/BTC.", caplog)
|
||||
assert isinstance(rate, float)
|
||||
assert rate == 0.043936
|
||||
assert rate == expected
|
||||
rate = ft.get_sell_rate(pair, False)
|
||||
assert rate == expected
|
||||
assert log_has("Using cached sell rate for ETH/BTC.", caplog)
|
||||
|
||||
|
||||
def test_startup_state(default_conf, mocker):
|
||||
@@ -3763,30 +3816,6 @@ def test_startup_trade_reinit(default_conf, edge_conf, mocker):
|
||||
assert reinit_mock.call_count == 0
|
||||
|
||||
|
||||
def test_process_i_am_alive(default_conf, mocker, caplog):
|
||||
patch_RPCManager(mocker)
|
||||
patch_exchange(mocker)
|
||||
mocker.patch('freqtrade.exchange.Exchange.exchange_has', MagicMock(return_value=True))
|
||||
|
||||
ftbot = get_patched_freqtradebot(mocker, default_conf)
|
||||
message = r"Bot heartbeat\. PID=.*"
|
||||
ftbot.process()
|
||||
assert log_has_re(message, caplog)
|
||||
assert ftbot._heartbeat_msg != 0
|
||||
|
||||
caplog.clear()
|
||||
# Message is not shown before interval is up
|
||||
ftbot.process()
|
||||
assert not log_has_re(message, caplog)
|
||||
|
||||
caplog.clear()
|
||||
# Set clock - 70 seconds
|
||||
ftbot._heartbeat_msg -= 70
|
||||
|
||||
ftbot.process()
|
||||
assert log_has_re(message, caplog)
|
||||
|
||||
|
||||
@pytest.mark.usefixtures("init_persistence")
|
||||
def test_sync_wallet_dry_run(mocker, default_conf, ticker, fee, limit_buy_order, caplog):
|
||||
default_conf['dry_run'] = True
|
||||
|
@@ -6,7 +6,7 @@ from unittest.mock import MagicMock
|
||||
|
||||
import pytest
|
||||
|
||||
from freqtrade.data.converter import parse_ticker_dataframe
|
||||
from freqtrade.data.converter import ohlcv_to_dataframe
|
||||
from freqtrade.misc import (datesarray_to_datetimearray, file_dump_json,
|
||||
file_load_json, format_ms_time, pair_to_filename,
|
||||
plural, render_template,
|
||||
@@ -19,9 +19,9 @@ def test_shorten_date() -> None:
|
||||
assert shorten_date(str_data) == str_shorten_data
|
||||
|
||||
|
||||
def test_datesarray_to_datetimearray(ticker_history_list):
|
||||
dataframes = parse_ticker_dataframe(ticker_history_list, "5m", pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
def test_datesarray_to_datetimearray(ohlcv_history_list):
|
||||
dataframes = ohlcv_to_dataframe(ohlcv_history_list, "5m", pair="UNITTEST/BTC",
|
||||
fill_missing=True)
|
||||
dates = datesarray_to_datetimearray(dataframes['date'])
|
||||
|
||||
assert isinstance(dates[0], datetime.datetime)
|
||||
|
@@ -3,15 +3,16 @@ from copy import deepcopy
|
||||
from pathlib import Path
|
||||
from unittest.mock import MagicMock
|
||||
|
||||
import pandas as pd
|
||||
import plotly.graph_objects as go
|
||||
import pytest
|
||||
from plotly.subplots import make_subplots
|
||||
|
||||
from freqtrade.commands import start_plot_dataframe, start_plot_profit
|
||||
from freqtrade.configuration import TimeRange
|
||||
from freqtrade.data import history
|
||||
from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
|
||||
from freqtrade.exceptions import OperationalException
|
||||
from freqtrade.commands import start_plot_dataframe, start_plot_profit
|
||||
from freqtrade.plot.plotting import (add_indicators, add_profit,
|
||||
create_plotconfig,
|
||||
generate_candlestick_graph,
|
||||
@@ -48,17 +49,17 @@ def test_init_plotscript(default_conf, mocker, testdatadir):
|
||||
default_conf['trade_source'] = "file"
|
||||
default_conf['ticker_interval'] = "5m"
|
||||
default_conf["datadir"] = testdatadir
|
||||
default_conf['exportfilename'] = str(testdatadir / "backtest-result_test.json")
|
||||
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
|
||||
ret = init_plotscript(default_conf)
|
||||
assert "tickers" in ret
|
||||
assert "ohlcv" in ret
|
||||
assert "trades" in ret
|
||||
assert "pairs" in ret
|
||||
|
||||
default_conf['pairs'] = ["TRX/BTC", "ADA/BTC"]
|
||||
ret = init_plotscript(default_conf)
|
||||
assert "tickers" in ret
|
||||
assert "TRX/BTC" in ret["tickers"]
|
||||
assert "ADA/BTC" in ret["tickers"]
|
||||
assert "ohlcv" in ret
|
||||
assert "TRX/BTC" in ret["ohlcv"]
|
||||
assert "ADA/BTC" in ret["ohlcv"]
|
||||
|
||||
|
||||
def test_add_indicators(default_conf, testdatadir, caplog):
|
||||
@@ -266,15 +267,16 @@ def test_generate_profit_graph(testdatadir):
|
||||
trades = load_backtest_data(filename)
|
||||
timerange = TimeRange.parse_timerange("20180110-20180112")
|
||||
pairs = ["TRX/BTC", "ADA/BTC"]
|
||||
trades = trades[trades['close_time'] < pd.Timestamp('2018-01-12', tz='UTC')]
|
||||
|
||||
data = history.load_data(datadir=testdatadir,
|
||||
pairs=pairs,
|
||||
timeframe='5m',
|
||||
timerange=timerange)
|
||||
|
||||
tickers = history.load_data(datadir=testdatadir,
|
||||
pairs=pairs,
|
||||
timeframe='5m',
|
||||
timerange=timerange
|
||||
)
|
||||
trades = trades[trades['pair'].isin(pairs)]
|
||||
|
||||
fig = generate_profit_graph(pairs, tickers, trades, timeframe="5m")
|
||||
fig = generate_profit_graph(pairs, data, trades, timeframe="5m")
|
||||
assert isinstance(fig, go.Figure)
|
||||
|
||||
assert fig.layout.title.text == "Freqtrade Profit plot"
|
||||
@@ -283,13 +285,15 @@ def test_generate_profit_graph(testdatadir):
|
||||
assert fig.layout.yaxis3.title.text == "Profit"
|
||||
|
||||
figure = fig.layout.figure
|
||||
assert len(figure.data) == 4
|
||||
assert len(figure.data) == 5
|
||||
|
||||
avgclose = find_trace_in_fig_data(figure.data, "Avg close price")
|
||||
assert isinstance(avgclose, go.Scatter)
|
||||
|
||||
profit = find_trace_in_fig_data(figure.data, "Profit")
|
||||
assert isinstance(profit, go.Scatter)
|
||||
profit = find_trace_in_fig_data(figure.data, "Max drawdown 0.00%")
|
||||
assert isinstance(profit, go.Scatter)
|
||||
|
||||
for pair in pairs:
|
||||
profit_pair = find_trace_in_fig_data(figure.data, f"Profit {pair}")
|
||||
@@ -314,7 +318,7 @@ def test_start_plot_dataframe(mocker):
|
||||
def test_load_and_plot_trades(default_conf, mocker, caplog, testdatadir):
|
||||
default_conf['trade_source'] = 'file'
|
||||
default_conf["datadir"] = testdatadir
|
||||
default_conf['exportfilename'] = str(testdatadir / "backtest-result_test.json")
|
||||
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
|
||||
default_conf['indicators1'] = ["sma5", "ema10"]
|
||||
default_conf['indicators2'] = ["macd"]
|
||||
default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"]
|
||||
@@ -370,7 +374,7 @@ def test_start_plot_profit_error(mocker):
|
||||
def test_plot_profit(default_conf, mocker, testdatadir, caplog):
|
||||
default_conf['trade_source'] = 'file'
|
||||
default_conf["datadir"] = testdatadir
|
||||
default_conf['exportfilename'] = str(testdatadir / "backtest-result_test.json")
|
||||
default_conf['exportfilename'] = testdatadir / "backtest-result_test.json"
|
||||
default_conf['pairs'] = ["ETH/BTC", "LTC/BTC"]
|
||||
|
||||
profit_mock = MagicMock()
|
||||
|
@@ -5,7 +5,7 @@ from unittest.mock import MagicMock, PropertyMock
|
||||
from freqtrade.data.dataprovider import DataProvider
|
||||
from freqtrade.state import State
|
||||
from freqtrade.worker import Worker
|
||||
from tests.conftest import get_patched_worker, log_has
|
||||
from tests.conftest import get_patched_worker, log_has, log_has_re
|
||||
|
||||
|
||||
def test_worker_state(mocker, default_conf, markets) -> None:
|
||||
@@ -38,15 +38,13 @@ def test_worker_running(mocker, default_conf, caplog) -> None:
|
||||
def test_worker_stopped(mocker, default_conf, caplog) -> None:
|
||||
mock_throttle = MagicMock()
|
||||
mocker.patch('freqtrade.worker.Worker._throttle', mock_throttle)
|
||||
mock_sleep = mocker.patch('time.sleep', return_value=None)
|
||||
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
worker.freqtrade.state = State.STOPPED
|
||||
state = worker._worker(old_state=State.RUNNING)
|
||||
assert state is State.STOPPED
|
||||
assert log_has('Changing state to: STOPPED', caplog)
|
||||
assert mock_throttle.call_count == 0
|
||||
assert mock_sleep.call_count == 1
|
||||
assert mock_throttle.call_count == 1
|
||||
|
||||
|
||||
def test_throttle(mocker, default_conf, caplog) -> None:
|
||||
@@ -57,14 +55,14 @@ def test_throttle(mocker, default_conf, caplog) -> None:
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
|
||||
start = time.time()
|
||||
result = worker._throttle(throttled_func, min_secs=0.1)
|
||||
result = worker._throttle(throttled_func, throttle_secs=0.1)
|
||||
end = time.time()
|
||||
|
||||
assert result == 42
|
||||
assert end - start > 0.1
|
||||
assert log_has('Throttling throttled_func for 0.10 seconds', caplog)
|
||||
assert log_has_re(r"Throttling with 'throttled_func\(\)': sleep for \d\.\d{2} s.*", caplog)
|
||||
|
||||
result = worker._throttle(throttled_func, min_secs=-1)
|
||||
result = worker._throttle(throttled_func, throttle_secs=-1)
|
||||
assert result == 42
|
||||
|
||||
|
||||
@@ -74,8 +72,54 @@ def test_throttle_with_assets(mocker, default_conf) -> None:
|
||||
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
|
||||
result = worker._throttle(throttled_func, min_secs=0.1, nb_assets=666)
|
||||
result = worker._throttle(throttled_func, throttle_secs=0.1, nb_assets=666)
|
||||
assert result == 666
|
||||
|
||||
result = worker._throttle(throttled_func, min_secs=0.1)
|
||||
result = worker._throttle(throttled_func, throttle_secs=0.1)
|
||||
assert result == -1
|
||||
|
||||
|
||||
def test_worker_heartbeat_running(default_conf, mocker, caplog):
|
||||
message = r"Bot heartbeat\. PID=.*state='RUNNING'"
|
||||
|
||||
mock_throttle = MagicMock()
|
||||
mocker.patch('freqtrade.worker.Worker._throttle', mock_throttle)
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
|
||||
worker.freqtrade.state = State.RUNNING
|
||||
worker._worker(old_state=State.STOPPED)
|
||||
assert log_has_re(message, caplog)
|
||||
|
||||
caplog.clear()
|
||||
# Message is not shown before interval is up
|
||||
worker._worker(old_state=State.RUNNING)
|
||||
assert not log_has_re(message, caplog)
|
||||
|
||||
caplog.clear()
|
||||
# Set clock - 70 seconds
|
||||
worker._heartbeat_msg -= 70
|
||||
worker._worker(old_state=State.RUNNING)
|
||||
assert log_has_re(message, caplog)
|
||||
|
||||
|
||||
def test_worker_heartbeat_stopped(default_conf, mocker, caplog):
|
||||
message = r"Bot heartbeat\. PID=.*state='STOPPED'"
|
||||
|
||||
mock_throttle = MagicMock()
|
||||
mocker.patch('freqtrade.worker.Worker._throttle', mock_throttle)
|
||||
worker = get_patched_worker(mocker, default_conf)
|
||||
|
||||
worker.freqtrade.state = State.STOPPED
|
||||
worker._worker(old_state=State.RUNNING)
|
||||
assert log_has_re(message, caplog)
|
||||
|
||||
caplog.clear()
|
||||
# Message is not shown before interval is up
|
||||
worker._worker(old_state=State.STOPPED)
|
||||
assert not log_has_re(message, caplog)
|
||||
|
||||
caplog.clear()
|
||||
# Set clock - 70 seconds
|
||||
worker._heartbeat_msg -= 70
|
||||
worker._worker(old_state=State.STOPPED)
|
||||
assert log_has_re(message, caplog)
|
||||
|
Reference in New Issue
Block a user