Remove more ticker_interval occurances

freqtrade/commands/cli_options.py

@@ -118,7 +118,7 @@ AVAILABLE_CLI_OPTIONS = {
     # Optimize common
     "timeframe": Arg(
         '-i', '--timeframe', '--ticker-interval',
-        help='Specify ticker interval (`1m`, `5m`, `30m`, `1h`, `1d`).',
+        help='Specify timeframe (`1m`, `5m`, `30m`, `1h`, `1d`).',
     ),
     "timerange": Arg(
         '--timerange',

freqtrade/commands/list_commands.py

@@ -99,7 +99,7 @@ def start_list_hyperopts(args: Dict[str, Any]) -> None:
 
 def start_list_timeframes(args: Dict[str, Any]) -> None:
     """
-    Print ticker intervals (timeframes) available on Exchange
+    Print timeframes available on Exchange
     """
     config = setup_utils_configuration(args, RunMode.UTIL_EXCHANGE)
     # Do not use timeframe set in the config

freqtrade/optimize/hyperopt_interface.py

@@ -31,7 +31,7 @@ class IHyperOpt(ABC):
     Defines the mandatory structure must follow any custom hyperopt
 
     Class attributes you can use:
-        ticker_interval -> int: value of the ticker interval to use for the strategy
+        timeframe -> int: value of the timeframe to use for the strategy
     """
     ticker_interval: str  # DEPRECATED
     timeframe: str
@@ -97,7 +97,7 @@ class IHyperOpt(ABC):
 
         This method implements adaptive roi hyperspace with varied
         ranges for parameters which automatically adapts to the
-        ticker interval used.
+        timeframe used.
 
         It's used by Freqtrade by default, if no custom roi_space method is defined.
         """
@@ -119,7 +119,7 @@ class IHyperOpt(ABC):
         # * 'roi_p' (limits for the ROI value steps) components are scaled logarithmically.
         #
         # The scaling is designed so that it maps exactly to the legacy Freqtrade roi_space()
-        # method for the 5m ticker interval.
+        # method for the 5m timeframe.
         roi_t_scale = timeframe_min / 5
         roi_p_scale = math.log1p(timeframe_min) / math.log1p(5)
         roi_limits = {

freqtrade/templates/sample_strategy.py

@@ -53,7 +53,7 @@ class SampleStrategy(IStrategy):
     # trailing_stop_positive = 0.01
     # trailing_stop_positive_offset = 0.0  # Disabled / not configured
 
-    # Optimal ticker interval for the strategy.
+    # Optimal timeframe for the strategy.
     timeframe = '5m'
 
     # Run "populate_indicators()" only for new candle.