feat: Expand pair_candles with plot_annotations call

freqtrade/rpc/api_server/api_schemas.py

@@ -5,7 +5,7 @@ from pydantic import AwareDatetime, BaseModel, RootModel, SerializeAsAny, model_
 
 from freqtrade.constants import DL_DATA_TIMEFRAMES, IntOrInf
 from freqtrade.enums import MarginMode, OrderTypeValues, SignalDirection, TradingMode
-from freqtrade.ft_types import ValidExchangesType
+from freqtrade.ft_types import MarkArea, ValidExchangesType
 from freqtrade.rpc.api_server.webserver_bgwork import ProgressTask
 
 
@@ -537,6 +537,7 @@ class PairHistory(BaseModel):
     columns: list[str]
     all_columns: list[str] = []
     data: SerializeAsAny[list[Any]]
+    mark_areas: list[MarkArea] | None = None
     length: int
     buy_signals: int
     sell_signals: int

freqtrade/rpc/rpc.py

@@ -1299,7 +1299,8 @@ class RPC:
         timeframe: str,
         dataframe: DataFrame,
         last_analyzed: datetime,
-        selected_cols: list[str] | None,
+        selected_cols: list[str],
+        mark_areas: list[dict[str, Any]] = None,
     ) -> dict[str, Any]:
         has_content = len(dataframe) != 0
         dataframe_columns = list(dataframe.columns)
@@ -1355,6 +1356,7 @@ class RPC:
             "data_start_ts": 0,
             "data_stop": "",
             "data_stop_ts": 0,
+            "mark_areas": mark_areas,
         }
         if has_content:
             res.update(
@@ -1373,8 +1375,16 @@ class RPC:
         """Analyzed dataframe in Dict form"""
 
         _data, last_analyzed = self.__rpc_analysed_dataframe_raw(pair, timeframe, limit)
+        mark_areas = self._freqtrade.strategy.ft_plot_annotations(pair=pair, dataframe=_data)
+
         return RPC._convert_dataframe_to_dict(
-            self._freqtrade.config["strategy"], pair, timeframe, _data, last_analyzed, selected_cols
+            self._freqtrade.config["strategy"],
+            pair,
+            timeframe,
+            _data,
+            last_analyzed,
+            selected_cols,
+            mark_areas,
         )
 
     def __rpc_analysed_dataframe_raw(
@@ -1458,6 +1468,7 @@ class RPC:
 
         df_analyzed = strategy.analyze_ticker(_data[pair], {"pair": pair})
         df_analyzed = trim_dataframe(df_analyzed, timerange_parsed, startup_candles=startup_candles)
+        mark_areas = strategy.ft_plot_annotations(pair=pair, dataframe=df_analyzed)
 
         return RPC._convert_dataframe_to_dict(
             strategy.get_strategy_name(),
@@ -1466,6 +1477,7 @@ class RPC:
             df_analyzed.copy(),
             dt_now(),
             selected_cols,
+            mark_areas,
         )
 
     def _rpc_plot_config(self) -> dict[str, Any]:

freqtrade/strategy/__init__.py

@@ -6,6 +6,7 @@ from freqtrade.exchange import (
     timeframe_to_prev_date,
     timeframe_to_seconds,
 )
+from freqtrade.ft_types import MarkArea
 from freqtrade.persistence import Order, PairLocks, Trade
 from freqtrade.strategy.informative_decorator import informative
 from freqtrade.strategy.interface import IStrategy
@@ -44,4 +45,5 @@ __all__ = [
     "merge_informative_pair",
     "stoploss_from_absolute",
     "stoploss_from_open",
+    "MarkArea",
 ]