Rename open_time and close_time to *date
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@@ -63,7 +63,7 @@ def init_plotscript(config):
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exportfilename=config.get('exportfilename'),
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no_trades=no_trades
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)
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trades = trim_dataframe(trades, timerange, 'open_time')
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trades = trim_dataframe(trades, timerange, 'open_date')
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return {"ohlcv": data,
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"trades": trades,
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@@ -166,7 +166,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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f"{row['sell_reason']}, {row['duration']} min",
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axis=1)
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trade_buys = go.Scatter(
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x=trades["open_time"],
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x=trades["open_date"],
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y=trades["open_rate"],
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mode='markers',
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name='Trade buy',
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@@ -181,7 +181,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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)
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trade_sells = go.Scatter(
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x=trades.loc[trades['profit_percent'] > 0, "close_time"],
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x=trades.loc[trades['profit_percent'] > 0, "close_date"],
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y=trades.loc[trades['profit_percent'] > 0, "close_rate"],
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text=trades.loc[trades['profit_percent'] > 0, "desc"],
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mode='markers',
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@@ -194,7 +194,7 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
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)
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)
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trade_sells_loss = go.Scatter(
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x=trades.loc[trades['profit_percent'] <= 0, "close_time"],
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x=trades.loc[trades['profit_percent'] <= 0, "close_date"],
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y=trades.loc[trades['profit_percent'] <= 0, "close_rate"],
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text=trades.loc[trades['profit_percent'] <= 0, "desc"],
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mode='markers',
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@@ -506,7 +506,7 @@ def plot_profit(config: Dict[str, Any]) -> None:
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# Remove open pairs - we don't know the profit yet so can't calculate profit for these.
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# Also, If only one open pair is left, then the profit-generation would fail.
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trades = trades[(trades['pair'].isin(plot_elements["pairs"]))
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& (~trades['close_time'].isnull())
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& (~trades['close_date'].isnull())
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]
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if len(trades) == 0:
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raise OperationalException("No trades found, cannot generate Profit-plot without "
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