def test_analyze_ticker_default(ticker_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)
sell_mock = MagicMock(side_effect=lambda x, meta: x)
mocker.patch.multiple(
'freqtrade.strategy.interface.IStrategy',
advise_indicators=ind_mock,
advise_buy=buy_mock,
advise_sell=sell_mock,
)
strategy = DefaultStrategy({})
strategy.analyze_ticker(ticker_history, {'pair': 'ETH/BTC'})
assert ind_mock.call_count == 1
assert buy_mock.call_count == 1
assert buy_mock.call_count == 1
assert log_has('TA Analysis Launched', caplog.record_tuples)
assert not log_has('Skippinig TA Analysis for already analyzed candle',
caplog.record_tuples)
caplog.clear()
strategy.analyze_ticker(ticker_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
assert buy_mock.call_count == 2
assert log_has('TA Analysis Launched', caplog.record_tuples)
assert not log_has('Skippinig TA Analysis for already analyzed candle',
caplog.record_tuples)
def test_add_indicators(default_conf, caplog):
pair = "UNITTEST/BTC"
timerange = TimeRange(None, 'line', 0, -1000)
data = history.load_pair_history(pair=pair, ticker_interval='1m',
datadir=None, timerange=timerange)
indicators1 = ["ema10"]
indicators2 = ["macd"]
# Generate buy/sell signals and indicators
strat = DefaultStrategy(default_conf)
data = strat.analyze_ticker(data, {'pair': pair})
fig = generage_empty_figure()
# Row 1
fig1 = add_indicators(fig=deepcopy(fig), row=1, indicators=indicators1, data=data)
figure = fig1.layout.figure
ema10 = find_trace_in_fig_data(figure.data, "ema10")
assert isinstance(ema10, go.Scatter)
assert ema10.yaxis == "y"
fig2 = add_indicators(fig=deepcopy(fig), row=3, indicators=indicators2, data=data)
figure = fig2.layout.figure
macd = find_trace_in_fig_data(figure.data, "macd")
assert isinstance(macd, go.Scatter)
assert macd.yaxis == "y3"
# No indicator found
fig3 = add_indicators(fig=deepcopy(fig), row=3, indicators=['no_indicator'], data=data)
assert fig == fig3
assert log_has_re(r'Indicator "no_indicator" ignored\..*', caplog)
def test_analyze_ticker_skip_analyze(ticker_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)
sell_mock = MagicMock(side_effect=lambda x, meta: x)
mocker.patch.multiple(
'freqtrade.strategy.interface.IStrategy',
advise_indicators=ind_mock,
advise_buy=buy_mock,
advise_sell=sell_mock,
)
strategy = DefaultStrategy({})
strategy.process_only_new_candles = True
ret = strategy.analyze_ticker(ticker_history, {'pair': 'ETH/BTC'})
assert 'high' in ret.columns
assert 'low' in ret.columns
assert 'close' in ret.columns
assert isinstance(ret, DataFrame)
assert ind_mock.call_count == 1
assert buy_mock.call_count == 1
assert buy_mock.call_count == 1
assert log_has('TA Analysis Launched', caplog.record_tuples)
assert not log_has('Skipping TA Analysis for already analyzed candle',
caplog.record_tuples)
caplog.clear()
ret = strategy.analyze_ticker(ticker_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
assert buy_mock.call_count == 1
# only skipped analyze adds buy and sell columns, otherwise it's all mocked
assert 'buy' in ret.columns
assert 'sell' in ret.columns
assert ret['buy'].sum() == 0
assert ret['sell'].sum() == 0
assert not log_has('TA Analysis Launched', caplog.record_tuples)
assert log_has('Skipping TA Analysis for already analyzed candle',
caplog.record_tuples)
def test_generate_candlestick_graph_no_trades(default_conf, mocker,
testdatadir):
row_mock = mocker.patch('freqtrade.plot.plotting.add_indicators',
MagicMock(side_effect=fig_generating_mock))
trades_mock = mocker.patch('freqtrade.plot.plotting.plot_trades',
MagicMock(side_effect=fig_generating_mock))
pair = 'UNITTEST/BTC'
timerange = TimeRange(None, 'line', 0, -1000)
data = history.load_pair_history(pair=pair,
ticker_interval='1m',
datadir=testdatadir,
timerange=timerange)
# Generate buy/sell signals and indicators
strat = DefaultStrategy(default_conf)
data = strat.analyze_ticker(data, {'pair': pair})
indicators1 = []
indicators2 = []
fig = generate_candlestick_graph(pair=pair,
data=data,
trades=None,
indicators1=indicators1,
indicators2=indicators2)
assert isinstance(fig, go.Figure)
assert fig.layout.title.text == pair
figure = fig.layout.figure
assert len(figure.data) == 6
# Candlesticks are plotted first
candles = find_trace_in_fig_data(figure.data, "Price")
assert isinstance(candles, go.Candlestick)
volume = find_trace_in_fig_data(figure.data, "Volume")
assert isinstance(volume, go.Bar)
buy = find_trace_in_fig_data(figure.data, "buy")
assert isinstance(buy, go.Scatter)
# All buy-signals should be plotted
assert int(data.buy.sum()) == len(buy.x)
sell = find_trace_in_fig_data(figure.data, "sell")
assert isinstance(sell, go.Scatter)
# All buy-signals should be plotted
assert int(data.sell.sum()) == len(sell.x)
assert find_trace_in_fig_data(figure.data, "BB lower")
assert find_trace_in_fig_data(figure.data, "BB upper")
assert row_mock.call_count == 2
assert trades_mock.call_count == 1
