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