Don't use arrow for everything

freqtrade/plugins/pairlist/AgeFilter.py

@@ -3,9 +3,9 @@ Minimum age (days listed) pair list filter
 """
 import logging
 from copy import deepcopy
+from datetime import timedelta
 from typing import Any, Dict, List, Optional
 
-import arrow
 from pandas import DataFrame
 
 from freqtrade.constants import Config, ListPairsWithTimeframes
@@ -13,7 +13,7 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.exchange.types import Tickers
 from freqtrade.misc import plural
 from freqtrade.plugins.pairlist.IPairList import IPairList
-from freqtrade.util import PeriodicCache
+from freqtrade.util import PeriodicCache, dt_floor_day, dt_now, dt_ts
 
 
 logger = logging.getLogger(__name__)
@@ -84,10 +84,7 @@ class AgeFilter(IPairList):
         since_days = -(
             self._max_days_listed if self._max_days_listed else self._min_days_listed
         ) - 1
-        since_ms = int(arrow.utcnow()
+        since_ms = dt_ts(dt_floor_day(dt_now()) + timedelta(days=since_days))
-                       .floor('day')
-                       .shift(days=since_days)
-                       .float_timestamp) * 1000
         candles = self._exchange.refresh_latest_ohlcv(needed_pairs, since_ms=since_ms, cache=False)
         if self._enabled:
             for p in deepcopy(pairlist):
@@ -116,7 +113,7 @@ class AgeFilter(IPairList):
             ):
                 # We have fetched at least the minimum required number of daily candles
                 # Add to cache, store the time we last checked this symbol
-                self._symbolsChecked[pair] = arrow.utcnow().int_timestamp * 1000
+                self._symbolsChecked[pair] = dt_ts()
                 return True
             else:
                 self.log_once((
@@ -127,6 +124,6 @@ class AgeFilter(IPairList):
                     " or more than "
                     f"{self._max_days_listed} {plural(self._max_days_listed, 'day')}"
                 ) if self._max_days_listed else ''), logger.info)
-                self._symbolsCheckFailed[pair] = arrow.utcnow().int_timestamp * 1000
+                self._symbolsCheckFailed[pair] = dt_ts()
                 return False
         return False

freqtrade/plugins/pairlist/VolatilityFilter.py

@@ -4,9 +4,9 @@ Volatility pairlist filter
 import logging
 import sys
 from copy import deepcopy
+from datetime import timedelta
 from typing import Any, Dict, List, Optional
 
-import arrow
 import numpy as np
 from cachetools import TTLCache
 from pandas import DataFrame
@@ -16,6 +16,7 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.exchange.types import Tickers
 from freqtrade.misc import plural
 from freqtrade.plugins.pairlist.IPairList import IPairList
+from freqtrade.util import dt_floor_day, dt_now, dt_ts
 
 
 logger = logging.getLogger(__name__)
@@ -73,10 +74,7 @@ class VolatilityFilter(IPairList):
         needed_pairs: ListPairsWithTimeframes = [
             (p, '1d', self._def_candletype) for p in pairlist if p not in self._pair_cache]
 
-        since_ms = (arrow.utcnow()
+        since_ms = dt_ts(dt_floor_day(dt_now()) - timedelta(days=self._days - 1))
-                         .floor('day')
-                         .shift(days=-self._days - 1)
-                         .int_timestamp) * 1000
         # Get all candles
         candles = {}
         if needed_pairs:

freqtrade/plugins/pairlist/VolumePairList.py

@@ -4,7 +4,7 @@ Volume PairList provider
 Provides dynamic pair list based on trade volumes
 """
 import logging
-from datetime import datetime, timedelta, timezone
+from datetime import timedelta
 from typing import Any, Dict, List, Literal
 
 from cachetools import TTLCache
@@ -15,6 +15,7 @@ from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
 from freqtrade.exchange.types import Tickers
 from freqtrade.misc import format_ms_time
 from freqtrade.plugins.pairlist.IPairList import IPairList
+from freqtrade.util import dt_now
 
 
 logger = logging.getLogger(__name__)
@@ -161,13 +162,13 @@ class VolumePairList(IPairList):
             # get lookback period in ms, for exchange ohlcv fetch
             since_ms = int(timeframe_to_prev_date(
                 self._lookback_timeframe,
-                datetime.now(timezone.utc) + timedelta(
+                dt_now() + timedelta(
                     minutes=-(self._lookback_period * self._tf_in_min) - self._tf_in_min)
                     ).timestamp()) * 1000
 
             to_ms = int(timeframe_to_prev_date(
                             self._lookback_timeframe,
-                            datetime.now(timezone.utc) - timedelta(minutes=self._tf_in_min)
+                            dt_now() - timedelta(minutes=self._tf_in_min)
                             ).timestamp()) * 1000
 
             # todo: utc date output for starting date

freqtrade/plugins/pairlist/rangestabilityfilter.py

@@ -3,9 +3,9 @@ Rate of change pairlist filter
 """
 import logging
 from copy import deepcopy
+from datetime import timedelta
 from typing import Any, Dict, List, Optional
 
-import arrow
 from cachetools import TTLCache
 from pandas import DataFrame
 
@@ -14,6 +14,7 @@ from freqtrade.exceptions import OperationalException
 from freqtrade.exchange.types import Tickers
 from freqtrade.misc import plural
 from freqtrade.plugins.pairlist.IPairList import IPairList
+from freqtrade.util import dt_floor_day, dt_now, dt_ts
 
 
 logger = logging.getLogger(__name__)
@@ -71,10 +72,7 @@ class RangeStabilityFilter(IPairList):
         needed_pairs: ListPairsWithTimeframes = [
             (p, '1d', self._def_candletype) for p in pairlist if p not in self._pair_cache]
 
-        since_ms = (arrow.utcnow()
+        since_ms = dt_ts(dt_floor_day(dt_now()) - timedelta(days=self._days - 1))
-                         .floor('day')
-                         .shift(days=-self._days - 1)
-                         .int_timestamp) * 1000
         # Get all candles
         candles = {}
         if needed_pairs: