Merge pull request #4094 from MrKrautee/plot_area
Plot area between traces
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commit
9d37ac9955
@ -168,6 +168,7 @@ Additional features when using plot_config include:
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* Specify colors per indicator
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* Specify additional subplots
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* Specify indicator pairs to fill area in between
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The sample plot configuration below specifies fixed colors for the indicators. Otherwise consecutive plots may produce different colorschemes each time, making comparisons difficult.
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It also allows multiple subplots to display both MACD and RSI at the same time.
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@ -183,23 +184,33 @@ Sample configuration with inline comments explaining the process:
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'ema50': {'color': '#CCCCCC'},
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# By omitting color, a random color is selected.
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'sar': {},
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# fill area between senkou_a and senkou_b
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'senkou_a': {
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'color': 'green', #optional
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'fill_to': 'senkou_b',
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'fill_label': 'Ichimoku Cloud' #optional,
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'fill_color': 'rgba(255,76,46,0.2)', #optional
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},
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# plot senkou_b, too. Not only the area to it.
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'senkou_b': {}
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},
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'subplots': {
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# Create subplot MACD
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"MACD": {
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'macd': {'color': 'blue'},
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'macdsignal': {'color': 'orange'},
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'macd': {'color': 'blue', 'fill_to': 'macdhist'},
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'macdsignal': {'color': 'orange'}
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},
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# Additional subplot RSI
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"RSI": {
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'rsi': {'color': 'red'},
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'rsi': {'color': 'red'}
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}
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}
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}
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```
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```
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!!! Note
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The above configuration assumes that `ema10`, `ema50`, `macd`, `macdsignal` and `rsi` are columns in the DataFrame created by the strategy.
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The above configuration assumes that `ema10`, `ema50`, `senkou_a`, `senkou_b`,
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`macd`, `macdsignal`, `macdhist` and `rsi` are columns in the DataFrame created by the strategy.
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## Plot profit
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@ -263,6 +263,65 @@ def create_plotconfig(indicators1: List[str], indicators2: List[str],
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return plot_config
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def plot_area(fig, row: int, data: pd.DataFrame, indicator_a: str,
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indicator_b: str, label: str = "",
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fill_color: str = "rgba(0,176,246,0.2)") -> make_subplots:
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""" Creates a plot for the area between two traces and adds it to fig.
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:param fig: Plot figure to append to
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:param row: row number for this plot
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:param data: candlestick DataFrame
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:param indicator_a: indicator name as populated in stragetie
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:param indicator_b: indicator name as populated in stragetie
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:param label: label for the filled area
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:param fill_color: color to be used for the filled area
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:return: fig with added filled_traces plot
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"""
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if indicator_a in data and indicator_b in data:
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# make lines invisible to get the area plotted, only.
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line = {'color': 'rgba(255,255,255,0)'}
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# TODO: Figure out why scattergl causes problems plotly/plotly.js#2284
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trace_a = go.Scatter(x=data.date, y=data[indicator_a],
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showlegend=False,
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line=line)
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trace_b = go.Scatter(x=data.date, y=data[indicator_b], name=label,
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fill="tonexty", fillcolor=fill_color,
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line=line)
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fig.add_trace(trace_a, row, 1)
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fig.add_trace(trace_b, row, 1)
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return fig
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def add_areas(fig, row: int, data: pd.DataFrame, indicators) -> make_subplots:
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""" Adds all area plots (specified in plot_config) to fig.
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:param fig: Plot figure to append to
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:param row: row number for this plot
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:param data: candlestick DataFrame
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:param indicators: dict with indicators. ie.: plot_config['main_plot'] or
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plot_config['subplots'][subplot_label]
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:return: fig with added filled_traces plot
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"""
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for indicator, ind_conf in indicators.items():
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if 'fill_to' in ind_conf:
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indicator_b = ind_conf['fill_to']
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if indicator in data and indicator_b in data:
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label = ind_conf.get('fill_label',
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f'{indicator}<>{indicator_b}')
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fill_color = ind_conf.get('fill_color', 'rgba(0,176,246,0.2)')
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fig = plot_area(fig, row, data, indicator, indicator_b,
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label=label, fill_color=fill_color)
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elif indicator not in data:
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logger.info(
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'Indicator "%s" ignored. Reason: This indicator is not '
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'found in your strategy.', indicator
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)
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elif indicator_b not in data:
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logger.info(
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'fill_to: "%s" ignored. Reason: This indicator is not '
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'in your strategy.', indicator_b
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)
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return fig
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def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFrame = None, *,
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indicators1: List[str] = [],
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indicators2: List[str] = [],
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@ -280,7 +339,6 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
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:return: Plotly figure
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"""
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plot_config = create_plotconfig(indicators1, indicators2, plot_config)
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rows = 2 + len(plot_config['subplots'])
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row_widths = [1 for _ in plot_config['subplots']]
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# Define the graph
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@ -346,36 +404,20 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
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fig.add_trace(sells, 1, 1)
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else:
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logger.warning("No sell-signals found.")
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# TODO: Figure out why scattergl causes problems plotly/plotly.js#2284
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if 'bb_lowerband' in data and 'bb_upperband' in data:
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bb_lower = go.Scatter(
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x=data.date,
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y=data.bb_lowerband,
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showlegend=False,
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line={'color': 'rgba(255,255,255,0)'},
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)
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bb_upper = go.Scatter(
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x=data.date,
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y=data.bb_upperband,
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name='Bollinger Band',
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fill="tonexty",
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fillcolor="rgba(0,176,246,0.2)",
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line={'color': 'rgba(255,255,255,0)'},
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)
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fig.add_trace(bb_lower, 1, 1)
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fig.add_trace(bb_upper, 1, 1)
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if ('bb_upperband' in plot_config['main_plot']
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and 'bb_lowerband' in plot_config['main_plot']):
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del plot_config['main_plot']['bb_upperband']
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# Add Bollinger Bands
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fig = plot_area(fig, 1, data, 'bb_lowerband', 'bb_upperband',
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label="Bollinger Band")
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# prevent bb_lower and bb_upper from plotting
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try:
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del plot_config['main_plot']['bb_lowerband']
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# Add indicators to main plot
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del plot_config['main_plot']['bb_upperband']
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except KeyError:
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pass
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# main plot goes to row 1
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fig = add_indicators(fig=fig, row=1, indicators=plot_config['main_plot'], data=data)
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fig = add_areas(fig, 1, data, plot_config['main_plot'])
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fig = plot_trades(fig, trades)
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# Volume goes to row 2
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# sub plot: Volume goes to row 2
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volume = go.Bar(
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x=data['date'],
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y=data['volume'],
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@ -384,13 +426,14 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
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marker_line_color='DarkSlateGrey'
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)
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fig.add_trace(volume, 2, 1)
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# Add indicators to separate row
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for i, name in enumerate(plot_config['subplots']):
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fig = add_indicators(fig=fig, row=3 + i,
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indicators=plot_config['subplots'][name],
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# add each sub plot to a separate row
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for i, label in enumerate(plot_config['subplots']):
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sub_config = plot_config['subplots'][label]
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row = 3 + i
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fig = add_indicators(fig=fig, row=row, indicators=sub_config,
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data=data)
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# fill area between indicators ( 'fill_to': 'other_indicator')
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fig = add_areas(fig, row, data, sub_config)
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return fig
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@ -13,7 +13,7 @@ from freqtrade.configuration import TimeRange
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from freqtrade.data import history
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from freqtrade.data.btanalysis import create_cum_profit, load_backtest_data
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from freqtrade.exceptions import OperationalException
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from freqtrade.plot.plotting import (add_indicators, add_profit, create_plotconfig,
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from freqtrade.plot.plotting import (add_areas, add_indicators, add_profit, create_plotconfig,
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generate_candlestick_graph, generate_plot_filename,
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generate_profit_graph, init_plotscript, load_and_plot_trades,
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plot_profit, plot_trades, store_plot_file)
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@ -96,6 +96,62 @@ def test_add_indicators(default_conf, testdatadir, caplog):
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assert log_has_re(r'Indicator "no_indicator" ignored\..*', caplog)
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def test_add_areas(default_conf, testdatadir, caplog):
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pair = "UNITTEST/BTC"
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timerange = TimeRange(None, 'line', 0, -1000)
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data = history.load_pair_history(pair=pair, timeframe='1m',
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datadir=testdatadir, timerange=timerange)
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indicators = {"macd": {"color": "red",
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"fill_color": "black",
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"fill_to": "macdhist",
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"fill_label": "MACD Fill"}}
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ind_no_label = {"macd": {"fill_color": "red",
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"fill_to": "macdhist"}}
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ind_plain = {"macd": {"fill_to": "macdhist"}}
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default_conf.update({'strategy': 'DefaultStrategy'})
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strategy = StrategyResolver.load_strategy(default_conf)
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# Generate buy/sell signals and indicators
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data = strategy.analyze_ticker(data, {'pair': pair})
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fig = generate_empty_figure()
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# indicator mentioned in fill_to does not exist
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fig1 = add_areas(fig, 1, data, {'ema10': {'fill_to': 'no_fill_indicator'}})
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assert fig == fig1
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assert log_has_re(r'fill_to: "no_fill_indicator" ignored\..*', caplog)
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# indicator does not exist
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fig2 = add_areas(fig, 1, data, {'no_indicator': {'fill_to': 'ema10'}})
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assert fig == fig2
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assert log_has_re(r'Indicator "no_indicator" ignored\..*', caplog)
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# everythin given in plot config, row 3
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fig3 = add_areas(fig, 3, data, indicators)
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figure = fig3.layout.figure
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fill_macd = find_trace_in_fig_data(figure.data, "MACD Fill")
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assert isinstance(fill_macd, go.Scatter)
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assert fill_macd.yaxis == "y3"
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assert fill_macd.fillcolor == "black"
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# label missing, row 1
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fig4 = add_areas(fig, 1, data, ind_no_label)
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figure = fig4.layout.figure
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fill_macd = find_trace_in_fig_data(figure.data, "macd<>macdhist")
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assert isinstance(fill_macd, go.Scatter)
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assert fill_macd.yaxis == "y"
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assert fill_macd.fillcolor == "red"
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# fit_to only
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fig5 = add_areas(fig, 1, data, ind_plain)
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figure = fig5.layout.figure
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fill_macd = find_trace_in_fig_data(figure.data, "macd<>macdhist")
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assert isinstance(fill_macd, go.Scatter)
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assert fill_macd.yaxis == "y"
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def test_plot_trades(testdatadir, caplog):
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fig1 = generate_empty_figure()
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# nothing happens when no trades are available
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