diff --git a/freqtrade/rpc/api_server.py b/freqtrade/rpc/api_server.py
index b0620d6e2..be8c01b8b 100644
--- a/freqtrade/rpc/api_server.py
+++ b/freqtrade/rpc/api_server.py
@@ -1,3 +1,4 @@
+from copy import deepcopy
 import logging
 import threading
 from datetime import date, datetime
@@ -538,14 +539,19 @@ class ApiServer(RPC):
         parameters:
             - pair: Pair
             - timeframe: Timeframe to get data for (should be aligned to strategy.timeframe)
+            - strategy: Strategy to use - Must exist in configured strategy-path!
             - timerange: timerange in the format YYYYMMDD-YYYYMMDD (YYYYMMDD- or (-YYYYMMDD))
                          are als possible. If omitted uses all available data.
         """
         pair = request.args.get("pair")
         timeframe = request.args.get("timeframe")
         timerange = request.args.get("timerange")
-
-        results = self._rpc_analysed_history_full(pair, timeframe, timerange)
+        strategy = request.args.get("strategy")
+        config = deepcopy(self._config)
+        config.update({
+            'strategy': strategy,
+        })
+        results = self._rpc_analysed_history_full(config, pair, timeframe, timerange)
         return self.rest_dump(results)
 
     @require_login
diff --git a/freqtrade/rpc/rpc.py b/freqtrade/rpc/rpc.py
index e66314230..c40bface3 100644
--- a/freqtrade/rpc/rpc.py
+++ b/freqtrade/rpc/rpc.py
@@ -689,19 +689,19 @@ class RPC:
             _data = _data.iloc[-limit:].copy()
         return self._convert_dataframe_to_dict(pair, _data, last_analyzed)
 
-    def _rpc_analysed_history_full(self, pair: str, timeframe: str,
+    def _rpc_analysed_history_full(self, config: Dict[str, any], pair: str, timeframe: str,
                                    timerange: str) -> Dict[str, Any]:
         timerange = TimeRange.parse_timerange(timerange)
 
         _data = load_data(
-            datadir=self._freqtrade.config.get("datadir"),
+            datadir=config.get("datadir"),
             pairs=[pair],
-            timeframe=self._freqtrade.config.get('timeframe', '5m'),
+            timeframe=timeframe,
             timerange=timerange,
-            data_format=self._freqtrade.config.get('dataformat_ohlcv', 'json'),
+            data_format=config.get('dataformat_ohlcv', 'json'),
         )
         from freqtrade.resolvers.strategy_resolver import StrategyResolver
-        strategy = StrategyResolver.load_strategy(self._freqtrade.config)
+        strategy = StrategyResolver.load_strategy(config)
         df_analyzed = strategy.analyze_ticker(_data[pair], {'pair': pair})
 
         return self._convert_dataframe_to_dict(pair, df_analyzed, arrow.Arrow.utcnow().datetime)