Add can_short to sample strategies

freqtrade/strategy/interface.py

@@ -81,6 +81,7 @@ class IStrategy(ABC, HyperStrategyMixin):
     trailing_only_offset_is_reached = False
     use_custom_stoploss: bool = False
 
+    # Can this strategy go short?
     can_short: bool = False
 
     # associated timeframe

freqtrade/templates/base_strategy.py.j2

@@ -40,6 +40,9 @@ class {{ strategy }}(IStrategy):
     # Optimal timeframe for the strategy.
     timeframe = '5m'
 
+    # Can this strategy go short?
+    can_short: bool = False
+
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi".
     minimal_roi = {

freqtrade/templates/sample_short_strategy.py

@@ -38,6 +38,9 @@ class SampleShortStrategy(IStrategy):
     # Check the documentation or the Sample strategy to get the latest version.
     INTERFACE_VERSION = 2
 
+    # Can this strategy go short?
+    can_short: bool = True
+
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi".
     minimal_roi = {

freqtrade/templates/sample_strategy.py

@@ -37,6 +37,9 @@ class SampleStrategy(IStrategy):
     # Check the documentation or the Sample strategy to get the latest version.
     INTERFACE_VERSION = 2
 
+    # Can this strategy go short?
+    can_short: bool = False
+
     # Minimal ROI designed for the strategy.
     # This attribute will be overridden if the config file contains "minimal_roi".
     minimal_roi = {
@@ -55,12 +58,6 @@ class SampleStrategy(IStrategy):
     # trailing_stop_positive = 0.01
     # trailing_stop_positive_offset = 0.0  # Disabled / not configured
 
-    # Hyperoptable parameters
-    buy_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
-    sell_rsi = IntParameter(low=50, high=100, default=70, space='sell', optimize=True, load=True)
-    short_rsi = IntParameter(low=51, high=100, default=70, space='sell', optimize=True, load=True)
-    exit_short_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
-
     # Optimal timeframe for the strategy.
     timeframe = '5m'
 
@@ -72,6 +69,12 @@ class SampleStrategy(IStrategy):
     sell_profit_only = False
     ignore_roi_if_buy_signal = False
 
+    # Hyperoptable parameters
+    buy_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
+    sell_rsi = IntParameter(low=50, high=100, default=70, space='sell', optimize=True, load=True)
+    short_rsi = IntParameter(low=51, high=100, default=70, space='sell', optimize=True, load=True)
+    exit_short_rsi = IntParameter(low=1, high=50, default=30, space='buy', optimize=True, load=True)
+
     # Number of candles the strategy requires before producing valid signals
     startup_candle_count: int = 30