Removed "is not None"

https://stackoverflow.com/users/566644/lauritz-v-thaulow

freqtrade\configuration\configuration.py:461 reduced checks

freqtrade\persistence\trade_model.py:fee_updated - reduced code

freqtrade/plugins/pairlist/AgeFilter.py

@@ -108,7 +108,7 @@ class AgeFilter(IPairList):
         if pair in self._symbolsChecked:
             return True
 
-        if daily_candles is not None:
+        if daily_candles:
             if (
                 len(daily_candles) >= self._min_days_listed
                 and (not self._max_days_listed or len(daily_candles) <= self._max_days_listed)

freqtrade/plugins/pairlist/PerformanceFilter.py

@@ -70,7 +70,7 @@ class PerformanceFilter(IPairList):
         sorted_df = list_df.merge(performance, on='pair', how='left')\
             .fillna(0).sort_values(by=['count', 'prior_idx'], ascending=True)\
             .sort_values(by=['profit_ratio'], ascending=False)
-        if self._min_profit is not None:
+        if self._min_profit:
             removed = sorted_df[sorted_df['profit_ratio'] < self._min_profit]
             for _, row in removed.iterrows():
                 self.log_once(

freqtrade/plugins/pairlist/PriceFilter.py

@@ -90,7 +90,7 @@ class PriceFilter(IPairList):
             price = ticker['last']
             market = self._exchange.markets[pair]
             limits = market['limits']
-            if (limits['amount']['min'] is not None):
+            if (limits['amount']['min']):
                 min_amount = limits['amount']['min']
                 min_precision = market['precision']['amount']
 

freqtrade/plugins/pairlist/ShuffleFilter.py

@@ -44,7 +44,7 @@ class ShuffleFilter(IPairList):
         Short whitelist method description - used for startup-messages
         """
         return (f"{self.name} - Shuffling pairs" +
-                (f", seed = {self._seed}." if self._seed is not None else "."))
+                (f", seed = {self._seed}." if self._seed else "."))
 
     def filter_pairlist(self, pairlist: List[str], tickers: Dict) -> List[str]:
         """

freqtrade/plugins/pairlist/VolatilityFilter.py

@@ -99,11 +99,11 @@ class VolatilityFilter(IPairList):
         """
         # Check symbol in cache
         cached_res = self._pair_cache.get(pair, None)
-        if cached_res is not None:
+        if cached_res:
             return cached_res
 
         result = False
-        if daily_candles is not None and not daily_candles.empty:
+        if daily_candles and not daily_candles.empty:
             returns = (np.log(daily_candles.close / daily_candles.close.shift(-1)))
             returns.fillna(0, inplace=True)
 

freqtrade/plugins/pairlist/VolumePairList.py

@@ -134,7 +134,7 @@ class VolumePairList(IPairList):
                 filtered_tickers = [
                     v for k, v in tickers.items()
                     if (self._exchange.get_pair_quote_currency(k) == self._stake_currency
-                        and (self._use_range or v[self._sort_key] is not None)
+                        and (self._use_range or v[self._sort_key])
                         and v['symbol'] in _pairlist)]
                 pairlist = [s['symbol'] for s in filtered_tickers]
             else:
@@ -192,7 +192,7 @@ class VolumePairList(IPairList):
                     p['symbol'], self._lookback_timeframe, self._def_candletype
                     ) in candles else None
                 # in case of candle data calculate typical price and quoteVolume for candle
-                if pair_candles is not None and not pair_candles.empty:
+                if pair_candles and not pair_candles.empty:
                     if self._exchange._ft_has["ohlcv_volume_currency"] == "base":
                         pair_candles['typical_price'] = (pair_candles['high'] + pair_candles['low']
                                                          + pair_candles['close']) / 3

freqtrade/plugins/pairlist/rangestabilityfilter.py

@@ -97,11 +97,11 @@ class RangeStabilityFilter(IPairList):
         """
         # Check symbol in cache
         cached_res = self._pair_cache.get(pair, None)
-        if cached_res is not None:
+        if cached_res:
             return cached_res
 
         result = False
-        if daily_candles is not None and not daily_candles.empty:
+        if daily_candles and not daily_candles.empty:
             highest_high = daily_candles['high'].max()
             lowest_low = daily_candles['low'].min()
             pct_change = ((highest_high - lowest_low) / lowest_low) if lowest_low > 0 else 0