support dicts as indicators

freqtrade/plot/plotting.py

@@ -1,6 +1,6 @@
 import logging
 from pathlib import Path
-from typing import Any, Dict, List
+from typing import Any, Dict, List, Union
 
 import pandas as pd
 from freqtrade.configuration import TimeRange
@@ -13,6 +13,8 @@ from freqtrade.resolvers import StrategyResolver
 logger = logging.getLogger(__name__)
 
 
+IndicatorType = Union[List[str], Dict[str, Dict]]
+
 try:
     from plotly.subplots import make_subplots
     from plotly.offline import plot
@@ -54,9 +56,9 @@ def init_plotscript(config):
             }
 
 
-def add_indicators(fig, row, indicators: List[str], data: pd.DataFrame) -> make_subplots:
+def _add_indicators_list(fig, row, indicators: List[str], data: pd.DataFrame) -> make_subplots:
     """
-    Generator all the indicator selected by the user for a specific row
+    Generate all the indicator selected by the user for a specific row
     :param fig: Plot figure to append to
     :param row: row number for this plot
     :param indicators: List of indicators present in the dataframe
@@ -81,6 +83,51 @@ def add_indicators(fig, row, indicators: List[str], data: pd.DataFrame) -> make_
     return fig
 
 
+def _add_indicators_dict(fig, row, indicators: Dict[str, Dict],
+                         data: pd.DataFrame) -> make_subplots:
+    """
+    Generate all the indicators selected by the user for a specific row, based on the configuration
+    :param fig: Plot figure to append to
+    :param row: row number for this plot
+    :param indicators: Dict of Indicators with configuration options.
+                       Dict key must correspond to dataframe column.
+    :param data: candlestick DataFrame
+    """
+    for indicator, conf in indicators.items():
+        print(conf)
+        if indicator in data:
+            scatter = go.Scatter(
+                x=data['date'],
+                y=data[indicator].values,
+                mode='lines',
+                name=indicator
+            )
+            fig.add_trace(scatter, row, 1)
+        else:
+            logger.info(
+                'Indicator "%s" ignored. Reason: This indicator is not found '
+                'in your strategy.',
+                indicator
+            )
+
+    return fig
+
+
+def add_indicators(fig, row, indicators: IndicatorType, data: pd.DataFrame) -> make_subplots:
+    """
+    Generate all the indicator selected by the user for a specific row
+    :param fig: Plot figure to append to
+    :param row: row number for this plot
+    :param indicators: List of indicators present in the dataframe, Or Dict of Indicators
+                       with configuration options. Dict key must correspond to dataframe column.
+    :param data: candlestick DataFrame
+    """
+    if isinstance(indicators, list):
+        _add_indicators_list(fig, row, indicators, data)
+    else:
+        _add_indicators_dict(fig, row, indicators, data)
+
+
 def add_profit(fig, row, data: pd.DataFrame, column: str, name: str) -> make_subplots:
     """
     Add profit-plot
@@ -144,8 +191,8 @@ def plot_trades(fig, trades: pd.DataFrame) -> make_subplots:
 
 
 def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFrame = None,
-                               indicators1: List[str] = [],
-                               indicators2: List[str] = [],) -> go.Figure:
+                               indicators1: IndicatorType = [],
+                               indicators2: IndicatorType = [],) -> go.Figure:
     """
     Generate the graph from the data generated by Backtesting or from DB
     Volume will always be ploted in row2, so Row 1 and 3 are to our disposal for custom indicators
@@ -254,7 +301,7 @@ def generate_candlestick_graph(pair: str, data: pd.DataFrame, trades: pd.DataFra
         name='Volume',
         marker_color='DarkSlateGrey',
         marker_line_color='DarkSlateGrey'
-        )
+    )
     fig.add_trace(volume, 2, 1)
 
     # Add indicators to separate row
@@ -355,12 +402,15 @@ def load_and_plot_trades(config: Dict[str, Any]):
         trades_pair = trades.loc[trades['pair'] == pair]
         trades_pair = extract_trades_of_period(dataframe, trades_pair)
 
+        indicators1 = config["indicators1"]
+        indicators2 = config["indicators2"]
+
         fig = generate_candlestick_graph(
             pair=pair,
             data=dataframe,
             trades=trades_pair,
-            indicators1=config["indicators1"],
-            indicators2=config["indicators2"],
+            indicators1=indicators1,
+            indicators2=indicators2,
         )
 
         store_plot_file(fig, filename=generate_plot_filename(pair, config['ticker_interval']),