Use ccxt base methods to round timeframe
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@ -14,6 +14,7 @@ from typing import Any, Dict, List, Optional, Tuple
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import arrow
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import arrow
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import ccxt
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import ccxt
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import ccxt.async_support as ccxt_async
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import ccxt.async_support as ccxt_async
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from ccxt.base.decimal_to_precision import ROUND_UP, ROUND_DOWN
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from pandas import DataFrame
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from pandas import DataFrame
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from freqtrade import (DependencyException, InvalidOrderException,
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from freqtrade import (DependencyException, InvalidOrderException,
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@ -824,11 +825,9 @@ def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
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"""
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"""
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if not date:
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if not date:
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date = datetime.now(timezone.utc)
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date = datetime.now(timezone.utc)
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timeframe_secs = timeframe_to_seconds(timeframe)
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# Get offset based on timerame_secs
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new_timestamp = ccxt.Exchange.round_timeframe(timeframe, date.timestamp() * 1000,
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offset = date.timestamp() % timeframe_secs
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ROUND_DOWN) // 1000
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# Subtract seconds passed since last offset
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new_timestamp = date.timestamp() - offset
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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@ -839,9 +838,8 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
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:param date: date to use. Defaults to utcnow()
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:param date: date to use. Defaults to utcnow()
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:returns: date of next candle (with utc timezone)
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:returns: date of next candle (with utc timezone)
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"""
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"""
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prevdate = timeframe_to_prev_date(timeframe, date)
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if not date:
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timeframe_secs = timeframe_to_seconds(timeframe)
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date = datetime.now(timezone.utc)
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new_timestamp = ccxt.Exchange.round_timeframe(timeframe, date.timestamp() * 1000,
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# Add one interval to previous candle
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ROUND_UP) // 1000
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new_timestamp = prevdate.timestamp() + timeframe_secs
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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