Update plotting tests for new strategy interface
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@ -386,8 +386,9 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
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)
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fig.add_trace(candles, 1, 1)
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if 'buy' in data.columns:
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df_buy = data[data['buy'] == 1]
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# TODO-lev: Needs short equivalent
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if 'enter_long' in data.columns:
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df_buy = data[data['enter_long'] == 1]
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if len(df_buy) > 0:
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buys = go.Scatter(
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x=df_buy.date,
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@ -405,8 +406,8 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
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else:
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logger.warning("No buy-signals found.")
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if 'sell' in data.columns:
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df_sell = data[data['sell'] == 1]
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if 'exit_long' in data.columns:
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df_sell = data[data['exit_long'] == 1]
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if len(df_sell) > 0:
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sells = go.Scatter(
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x=df_sell.date,
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@ -203,8 +203,8 @@ def test_generate_candlestick_graph_no_signals_no_trades(default_conf, mocker, t
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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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data['buy'] = 0
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data['sell'] = 0
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data['enter_long'] = 0
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data['exit_long'] = 0
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indicators1 = []
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indicators2 = []
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@ -264,12 +264,12 @@ def test_generate_candlestick_graph_no_trades(default_conf, mocker, testdatadir)
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buy = find_trace_in_fig_data(figure.data, "buy")
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assert isinstance(buy, go.Scatter)
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# All buy-signals should be plotted
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assert int(data.buy.sum()) == len(buy.x)
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assert int(data['enter_long'].sum()) == len(buy.x)
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sell = find_trace_in_fig_data(figure.data, "sell")
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assert isinstance(sell, go.Scatter)
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# All buy-signals should be plotted
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assert int(data.sell.sum()) == len(sell.x)
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assert int(data['exit_long'].sum()) == len(sell.x)
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assert find_trace_in_fig_data(figure.data, "Bollinger Band")
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