Remove ticker_interval support

freqtrade/commands/cli_options.py

@@ -117,7 +117,7 @@ AVAILABLE_CLI_OPTIONS = {
     ),
     # Optimize common
     "timeframe": Arg(
-        '-i', '--timeframe', '--ticker-interval',
+        '-i', '--timeframe',
         help='Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).',
     ),
     "timerange": Arg(
@@ -169,7 +169,7 @@ AVAILABLE_CLI_OPTIONS = {
     "strategy_list": Arg(
         '--strategy-list',
         help='Provide a space-separated list of strategies to backtest. '
-        'Please note that ticker-interval needs to be set either in config '
+        'Please note that timeframe needs to be set either in config '
         'or via command line. When using this together with `--export trades`, '
         'the strategy-name is injected into the filename '
         '(so `backtest-data.json` becomes `backtest-data-SampleStrategy.json`',

freqtrade/optimize/backtesting.py

@@ -87,7 +87,7 @@ class Backtesting:
             validate_config_consistency(self.config)
 
         if "timeframe" not in self.config:
-            raise OperationalException("Timeframe (ticker interval) needs to be set in either "
+            raise OperationalException("Timeframe needs to be set in either "
                                        "configuration or as cli argument `--timeframe 5m`")
         self.timeframe = str(self.config.get('timeframe'))
         self.timeframe_min = timeframe_to_minutes(self.timeframe)

freqtrade/optimize/hyperopt_interface.py

@@ -29,15 +29,13 @@ class IHyperOpt(ABC):
     Class attributes you can use:
         timeframe -> int: value of the timeframe to use for the strategy
     """
-    ticker_interval: str  # DEPRECATED
     timeframe: str
     strategy: IStrategy
 
     def __init__(self, config: dict) -> None:
         self.config = config
 
-        # Assign ticker_interval to be used in hyperopt
-        IHyperOpt.ticker_interval = str(config['timeframe'])  # DEPRECATED
+        # Assign timeframe to be used in hyperopt
         IHyperOpt.timeframe = str(config['timeframe'])
 
     def generate_estimator(self, dimensions: List[Dimension], **kwargs) -> EstimatorType:
@@ -192,7 +190,7 @@ class IHyperOpt(ABC):
             Categorical([True, False], name='trailing_only_offset_is_reached'),
         ]
 
-    # This is needed for proper unpickling the class attribute ticker_interval
+    # This is needed for proper unpickling the class attribute timeframe
     # which is set to the actual value by the resolver.
     # Why do I still need such shamanic mantras in modern python?
     def __getstate__(self):
@@ -202,5 +200,4 @@ class IHyperOpt(ABC):
 
     def __setstate__(self, state):
         self.__dict__.update(state)
-        IHyperOpt.ticker_interval = state['timeframe']
         IHyperOpt.timeframe = state['timeframe']

freqtrade/resolvers/hyperopt_resolver.py

@@ -44,7 +44,6 @@ class HyperOptLossResolver(IResolver):
                                                         extra_dir=config.get('hyperopt_path'))
 
         # Assign timeframe to be used in hyperopt
-        hyperoptloss.__class__.ticker_interval = str(config['timeframe'])
         hyperoptloss.__class__.timeframe = str(config['timeframe'])
 
         return hyperoptloss

freqtrade/resolvers/strategy_resolver.py

@@ -145,10 +145,6 @@ class StrategyResolver(IResolver):
         """
         Normalize attributes to have the correct type.
         """
-        # Assign deprecated variable - to not break users code relying on this.
-        if hasattr(strategy, 'timeframe'):
-            strategy.ticker_interval = strategy.timeframe
-
         # Sort and apply type conversions
         if hasattr(strategy, 'minimal_roi'):
             strategy.minimal_roi = dict(sorted(

freqtrade/strategy/interface.py

@@ -55,7 +55,7 @@ class IStrategy(ABC, HyperStrategyMixin):
     Attributes you can use:
         minimal_roi -> Dict: Minimal ROI designed for the strategy
         stoploss -> float: optimal stoploss designed for the strategy
-        timeframe -> str: value of the timeframe (ticker interval) to use with the strategy
+        timeframe -> str: value of the timeframe to use with the strategy
     """
     # Strategy interface version
     # Default to version 2
@@ -81,7 +81,6 @@ class IStrategy(ABC, HyperStrategyMixin):
     use_custom_stoploss: bool = False
 
     # associated timeframe
-    ticker_interval: str  # DEPRECATED
     timeframe: str
 
     # Optional order types