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show buy_tag only if not None
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@ -235,9 +235,9 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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# Trades can be empty
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# Trades can be empty
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if trades is not None and len(trades) > 0:
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if trades is not None and len(trades) > 0:
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# Create description for sell summarizing the trade
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# Create description for sell summarizing the trade
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trades['desc'] = trades.apply(lambda row: f"{row['profit_ratio']:.2%}, "
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trades['desc'] = trades.apply(lambda row: f"{row['profit_ratio']:.2%}, " + \
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f"{row['buy_tag']}, "
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(f"{row['buy_tag']}, " if row['buy_tag'] is not None else "") + \
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f"{row['sell_reason']}, "
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f"{row['sell_reason']}, " + \
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f"{row['trade_duration']} min",
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f"{row['trade_duration']} min",
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axis=1)
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axis=1)
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trade_buys = go.Scatter(
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trade_buys = go.Scatter(
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@ -187,7 +187,7 @@ def test_plot_trades(testdatadir, caplog):
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assert len(trades.loc[trades['profit_ratio'] <= 0]) == len(trade_sell_loss.x)
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assert len(trades.loc[trades['profit_ratio'] <= 0]) == len(trade_sell_loss.x)
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assert trade_sell_loss.marker.color == 'red'
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assert trade_sell_loss.marker.color == 'red'
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assert trade_sell_loss.marker.symbol == 'square-open'
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assert trade_sell_loss.marker.symbol == 'square-open'
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assert trade_sell_loss.text[5] == '-10.45%, None, stop_loss, 720 min'
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assert trade_sell_loss.text[5] == '-10.45%, stop_loss, 720 min'
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def test_generate_candlestick_graph_no_signals_no_trades(default_conf, mocker, testdatadir, caplog):
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def test_generate_candlestick_graph_no_signals_no_trades(default_conf, mocker, testdatadir, caplog):
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