Adding the pair name when populating indicators allowing the strategy to have customized context for a pair

freqtrade/optimize/__init__.py

@@ -91,7 +91,7 @@ def tickerdata_to_dataframe(data):
 
 def preprocess(tickerdata: Dict[str, List]) -> Dict[str, DataFrame]:
     """Creates a dataframe and populates indicators for given ticker data"""
-    return {pair: populate_indicators(parse_ticker_dataframe(pair_data))
+    return {pair: populate_indicators(parse_ticker_dataframe(pair_data), pair)
             for pair, pair_data in tickerdata.items()}
 
 

freqtrade/optimize/backtesting.py

@@ -117,7 +117,7 @@ def backtest(args) -> DataFrame:
     exchange._API = Bittrex({'key': '', 'secret': ''})
     for pair, pair_data in processed.items():
         pair_data['buy'], pair_data['sell'] = 0, 0
-        ticker = populate_sell_trend(populate_buy_trend(pair_data))
+        ticker = populate_sell_trend(populate_buy_trend(pair_data, pair), pair)
         # for each buy point
         lock_pair_until = None
         headers = ['buy', 'open', 'close', 'date', 'sell']

freqtrade/optimize/hyperopt.py

@@ -61,7 +61,7 @@ TRIALS = Trials()
 main._CONF = OPTIMIZE_CONFIG
 
 
-def populate_indicators(dataframe: DataFrame) -> DataFrame:
+def populate_indicators(dataframe: DataFrame, pair: str) -> DataFrame:
     """
     Adds several different TA indicators to the given DataFrame
     """
@@ -320,7 +320,7 @@ def buy_strategy_generator(params: Dict[str, Any]) -> Callable:
     """
     Define the buy strategy parameters to be used by hyperopt
     """
-    def populate_buy_trend(dataframe: DataFrame) -> DataFrame:
+    def populate_buy_trend(dataframe: DataFrame, pair: str) -> DataFrame:
         conditions = []
         # GUARDS AND TRENDS
         if 'uptrend_long_ema' in params and params['uptrend_long_ema']['enabled']: