commit
3d36d35e30
@ -79,6 +79,12 @@ def start_download_data(args: Dict[str, Any]) -> None:
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data_format_trades=config['dataformat_trades'],
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)
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else:
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if not exchange._ft_has.get('ohlcv_has_history', True):
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raise OperationalException(
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f"Historic klines not available for {exchange.name}. "
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"Please use `--dl-trades` instead for this exchange "
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"(will unfortunately take a long time)."
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)
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pairs_not_available = refresh_backtest_ohlcv_data(
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exchange, pairs=expanded_pairs, timeframes=config['timeframes'],
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datadir=config['datadir'], timerange=timerange,
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@ -64,6 +64,7 @@ class Exchange:
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"time_in_force_parameter": "timeInForce",
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"ohlcv_params": {},
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"ohlcv_candle_limit": 500,
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"ohlcv_has_history": True, # Some exchanges (Kraken) don't provide history via ohlcv
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"ohlcv_partial_candle": True,
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"ohlcv_require_since": False,
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# Check https://github.com/ccxt/ccxt/issues/10767 for removal of ohlcv_volume_currency
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@ -308,12 +309,15 @@ class Exchange:
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if self.log_responses:
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logger.info(f"API {endpoint}: {response}")
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def ohlcv_candle_limit(self, timeframe: str) -> int:
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def ohlcv_candle_limit(
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self, timeframe: str, candle_type: CandleType, since_ms: Optional[int] = None) -> int:
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"""
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Exchange ohlcv candle limit
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Uses ohlcv_candle_limit_per_timeframe if the exchange has different limits
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per timeframe (e.g. bittrex), otherwise falls back to ohlcv_candle_limit
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:param timeframe: Timeframe to check
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:param candle_type: Candle-type
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:param since_ms: Starting timestamp
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:return: Candle limit as integer
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"""
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return int(self._ft_has.get('ohlcv_candle_limit_per_timeframe', {}).get(
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@ -615,19 +619,28 @@ class Exchange:
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Checks if required startup_candles is more than ohlcv_candle_limit().
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Requires a grace-period of 5 candles - so a startup-period up to 494 is allowed by default.
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"""
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candle_limit = self.ohlcv_candle_limit(timeframe)
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candle_limit = self.ohlcv_candle_limit(
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timeframe, self._config['candle_type_def'],
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int(date_minus_candles(timeframe, startup_candles).timestamp() * 1000)
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if timeframe else None)
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# Require one more candle - to account for the still open candle.
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candle_count = startup_candles + 1
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# Allow 5 calls to the exchange per pair
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required_candle_call_count = int(
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(candle_count / candle_limit) + (0 if candle_count % candle_limit == 0 else 1))
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if self._ft_has['ohlcv_has_history']:
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if required_candle_call_count > 5:
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# Only allow 5 calls per pair to somewhat limit the impact
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raise OperationalException(
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f"This strategy requires {startup_candles} candles to start, which is more than 5x "
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f"This strategy requires {startup_candles} candles to start, "
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"which is more than 5x "
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f"the amount of candles {self.name} provides for {timeframe}.")
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elif required_candle_call_count > 1:
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raise OperationalException(
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f"This strategy requires {startup_candles} candles to start, which is more than "
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f"the amount of candles {self.name} provides for {timeframe}.")
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if required_candle_call_count > 1:
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logger.warning(f"Using {required_candle_call_count} calls to get OHLCV. "
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f"This can result in slower operations for the bot. Please check "
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@ -1703,7 +1716,8 @@ class Exchange:
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:param candle_type: Any of the enum CandleType (must match trading mode!)
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"""
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one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
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one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(
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timeframe, candle_type, since_ms)
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logger.debug(
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"one_call: %s msecs (%s)",
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one_call,
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@ -1739,7 +1753,8 @@ class Exchange:
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if (not since_ms
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and (self._ft_has["ohlcv_require_since"] or self.required_candle_call_count > 1)):
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# Multiple calls for one pair - to get more history
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one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
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one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(
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timeframe, candle_type, since_ms)
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move_to = one_call * self.required_candle_call_count
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now = timeframe_to_next_date(timeframe)
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since_ms = int((now - timedelta(seconds=move_to // 1000)).timestamp() * 1000)
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@ -1857,7 +1872,9 @@ class Exchange:
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pair, timeframe, since_ms, s
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)
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params = deepcopy(self._ft_has.get('ohlcv_params', {}))
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candle_limit = self.ohlcv_candle_limit(timeframe)
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candle_limit = self.ohlcv_candle_limit(
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timeframe, candle_type=candle_type, since_ms=since_ms)
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if candle_type != CandleType.SPOT:
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params.update({'price': candle_type})
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if candle_type != CandleType.FUNDING_RATE:
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@ -2674,9 +2691,10 @@ def timeframe_to_msecs(timeframe: str) -> int:
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def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
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"""
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Use Timeframe and determine last possible candle.
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Use Timeframe and determine the candle start date for this date.
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Does not round when given a candle start date.
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:param timeframe: timeframe in string format (e.g. "5m")
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:param date: date to use. Defaults to utcnow()
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:param date: date to use. Defaults to now(utc)
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:returns: date of previous candle (with utc timezone)
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"""
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if not date:
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@ -2691,7 +2709,7 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
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"""
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Use Timeframe and determine next candle.
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:param timeframe: timeframe in string format (e.g. "5m")
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:param date: date to use. Defaults to utcnow()
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:param date: date to use. Defaults to now(utc)
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:returns: date of next candle (with utc timezone)
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"""
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if not date:
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@ -2701,6 +2719,23 @@ def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
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return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
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def date_minus_candles(
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timeframe: str, candle_count: int, date: Optional[datetime] = None) -> datetime:
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"""
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subtract X candles from a date.
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:param timeframe: timeframe in string format (e.g. "5m")
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:param candle_count: Amount of candles to subtract.
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:param date: date to use. Defaults to now(utc)
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"""
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if not date:
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date = datetime.now(timezone.utc)
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tf_min = timeframe_to_minutes(timeframe)
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new_date = timeframe_to_prev_date(timeframe, date) - timedelta(minutes=tf_min * candle_count)
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return new_date
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def market_is_active(market: Dict) -> bool:
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"""
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Return True if the market is active.
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@ -23,6 +23,7 @@ class Kraken(Exchange):
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_ft_has: Dict = {
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"stoploss_on_exchange": True,
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"ohlcv_candle_limit": 720,
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"ohlcv_has_history": False,
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"trades_pagination": "id",
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"trades_pagination_arg": "since",
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"mark_ohlcv_timeframe": "4h",
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@ -1,13 +1,15 @@
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import logging
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from typing import Dict, List, Tuple
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from typing import Dict, List, Optional, Tuple
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import ccxt
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from freqtrade.constants import BuySell
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from freqtrade.enums import MarginMode, TradingMode
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from freqtrade.enums.candletype import CandleType
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from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
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from freqtrade.exchange import Exchange
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from freqtrade.exchange.common import retrier
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from freqtrade.exchange.exchange import date_minus_candles
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logger = logging.getLogger(__name__)
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@ -20,7 +22,7 @@ class Okx(Exchange):
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"""
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_ft_has: Dict = {
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"ohlcv_candle_limit": 100,
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"ohlcv_candle_limit": 100, # Warning, special case with data prior to X months
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"mark_ohlcv_timeframe": "4h",
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"funding_fee_timeframe": "8h",
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}
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@ -37,6 +39,27 @@ class Okx(Exchange):
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net_only = True
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def ohlcv_candle_limit(
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self, timeframe: str, candle_type: CandleType, since_ms: Optional[int] = None) -> int:
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"""
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Exchange ohlcv candle limit
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OKX has the following behaviour:
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* 300 candles for uptodate data
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* 100 candles for historic data
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* 100 candles for additional candles (not futures or spot).
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:param timeframe: Timeframe to check
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:param candle_type: Candle-type
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:param since_ms: Starting timestamp
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:return: Candle limit as integer
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"""
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if (
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candle_type in (CandleType.FUTURES, CandleType.SPOT) and
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(not since_ms or since_ms > (date_minus_candles(timeframe, 300).timestamp() * 1000))
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):
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return 300
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return super().ohlcv_candle_limit(timeframe, candle_type, since_ms)
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@retrier
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def additional_exchange_init(self) -> None:
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"""
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@ -32,18 +32,19 @@ class AgeFilter(IPairList):
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self._min_days_listed = pairlistconfig.get('min_days_listed', 10)
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self._max_days_listed = pairlistconfig.get('max_days_listed', None)
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candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
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if self._min_days_listed < 1:
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raise OperationalException("AgeFilter requires min_days_listed to be >= 1")
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if self._min_days_listed > exchange.ohlcv_candle_limit('1d'):
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if self._min_days_listed > candle_limit:
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raise OperationalException("AgeFilter requires min_days_listed to not exceed "
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"exchange max request size "
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f"({exchange.ohlcv_candle_limit('1d')})")
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f"({candle_limit})")
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if self._max_days_listed and self._max_days_listed <= self._min_days_listed:
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raise OperationalException("AgeFilter max_days_listed <= min_days_listed not permitted")
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if self._max_days_listed and self._max_days_listed > exchange.ohlcv_candle_limit('1d'):
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if self._max_days_listed and self._max_days_listed > candle_limit:
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raise OperationalException("AgeFilter requires max_days_listed to not exceed "
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"exchange max request size "
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f"({exchange.ohlcv_candle_limit('1d')})")
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f"({candle_limit})")
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@property
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def needstickers(self) -> bool:
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@ -38,12 +38,12 @@ class VolatilityFilter(IPairList):
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self._pair_cache: TTLCache = TTLCache(maxsize=1000, ttl=self._refresh_period)
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candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
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if self._days < 1:
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raise OperationalException("VolatilityFilter requires lookback_days to be >= 1")
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if self._days > exchange.ohlcv_candle_limit('1d'):
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if self._days > candle_limit:
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raise OperationalException("VolatilityFilter requires lookback_days to not "
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"exceed exchange max request size "
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f"({exchange.ohlcv_candle_limit('1d')})")
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f"exceed exchange max request size ({candle_limit})")
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@property
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def needstickers(self) -> bool:
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@ -84,12 +84,13 @@ class VolumePairList(IPairList):
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raise OperationalException(
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f'key {self._sort_key} not in {SORT_VALUES}')
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candle_limit = exchange.ohlcv_candle_limit(
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self._lookback_timeframe, self._config['candle_type_def'])
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if self._lookback_period < 0:
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raise OperationalException("VolumeFilter requires lookback_period to be >= 0")
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if self._lookback_period > exchange.ohlcv_candle_limit(self._lookback_timeframe):
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if self._lookback_period > candle_limit:
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raise OperationalException("VolumeFilter requires lookback_period to not "
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"exceed exchange max request size "
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f"({exchange.ohlcv_candle_limit(self._lookback_timeframe)})")
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f"exceed exchange max request size ({candle_limit})")
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@property
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def needstickers(self) -> bool:
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@ -33,12 +33,12 @@ class RangeStabilityFilter(IPairList):
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self._pair_cache: TTLCache = TTLCache(maxsize=1000, ttl=self._refresh_period)
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candle_limit = exchange.ohlcv_candle_limit('1d', self._config['candle_type_def'])
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if self._days < 1:
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raise OperationalException("RangeStabilityFilter requires lookback_days to be >= 1")
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if self._days > exchange.ohlcv_candle_limit('1d'):
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if self._days > candle_limit:
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raise OperationalException("RangeStabilityFilter requires lookback_days to not "
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"exceed exchange max request size "
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f"({exchange.ohlcv_candle_limit('1d')})")
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f"exceed exchange max request size ({candle_limit})")
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@property
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def needstickers(self) -> bool:
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@ -835,6 +835,23 @@ def test_download_data_trades(mocker, caplog):
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start_download_data(pargs)
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def test_download_data_data_invalid(mocker):
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patch_exchange(mocker, id="kraken")
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mocker.patch(
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'freqtrade.exchange.Exchange.markets', PropertyMock(return_value={})
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)
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args = [
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"download-data",
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"--exchange", "kraken",
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"--pairs", "ETH/BTC", "XRP/BTC",
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"--days", "20",
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]
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pargs = get_args(args)
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pargs['config'] = None
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with pytest.raises(OperationalException, match=r"Historic klines not available for .*"):
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start_download_data(pargs)
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def test_start_convert_trades(mocker, caplog):
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convert_mock = mocker.patch('freqtrade.commands.data_commands.convert_trades_to_ohlcv',
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MagicMock(return_value=[]))
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@ -13,6 +13,7 @@ import pytest
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from freqtrade.enums import CandleType
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from freqtrade.exchange import timeframe_to_minutes, timeframe_to_prev_date
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from freqtrade.exchange.exchange import timeframe_to_msecs
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from freqtrade.resolvers.exchange_resolver import ExchangeResolver
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from tests.conftest import get_default_conf_usdt
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@ -219,7 +220,7 @@ class TestCCXTExchange():
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assert len(l2['asks']) == next_limit
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assert len(l2['asks']) == next_limit
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def test_fetch_ohlcv(self, exchange):
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def test_ccxt_fetch_ohlcv(self, exchange):
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exchange, exchangename = exchange
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pair = EXCHANGES[exchangename]['pair']
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timeframe = EXCHANGES[exchangename]['timeframe']
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@ -231,11 +232,44 @@ class TestCCXTExchange():
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assert len(ohlcv[pair_tf]) == len(exchange.klines(pair_tf))
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# assert len(exchange.klines(pair_tf)) > 200
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# Assume 90% uptime ...
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assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(timeframe) * 0.90
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assert len(exchange.klines(pair_tf)) > exchange.ohlcv_candle_limit(
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timeframe, CandleType.SPOT) * 0.90
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# Check if last-timeframe is within the last 2 intervals
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now = datetime.now(timezone.utc) - timedelta(minutes=(timeframe_to_minutes(timeframe) * 2))
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assert exchange.klines(pair_tf).iloc[-1]['date'] >= timeframe_to_prev_date(timeframe, now)
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def test_ccxt__async_get_candle_history(self, exchange):
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exchange, exchangename = exchange
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# For some weired reason, this test returns random lengths for bittrex.
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if not exchange._ft_has['ohlcv_has_history'] or exchangename == 'bittrex':
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return
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pair = EXCHANGES[exchangename]['pair']
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timeframe = EXCHANGES[exchangename]['timeframe']
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candle_type = CandleType.SPOT
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timeframe_ms = timeframe_to_msecs(timeframe)
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now = timeframe_to_prev_date(
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timeframe, datetime.now(timezone.utc))
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for offset in (360, 120, 30, 10, 5, 2):
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since = now - timedelta(days=offset)
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since_ms = int(since.timestamp() * 1000)
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res = exchange.loop.run_until_complete(exchange._async_get_candle_history(
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pair=pair,
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timeframe=timeframe,
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since_ms=since_ms,
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candle_type=candle_type
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)
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)
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assert res
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assert res[0] == pair
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assert res[1] == timeframe
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assert res[2] == candle_type
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candles = res[3]
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candle_count = exchange.ohlcv_candle_limit(timeframe, candle_type, since_ms) * 0.9
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candle_count1 = (now.timestamp() * 1000 - since_ms) // timeframe_ms
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assert len(candles) >= min(candle_count, candle_count1)
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assert candles[0][0] == since_ms or (since_ms + timeframe_ms)
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def test_ccxt_fetch_funding_rate_history(self, exchange_futures):
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exchange, exchangename = exchange_futures
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if not exchange:
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|
@ -17,9 +17,9 @@ from freqtrade.exceptions import (DDosProtection, DependencyException, InvalidOr
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from freqtrade.exchange import Binance, Bittrex, Exchange, Kraken
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from freqtrade.exchange.common import (API_FETCH_ORDER_RETRY_COUNT, API_RETRY_COUNT,
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calculate_backoff, remove_credentials)
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from freqtrade.exchange.exchange import (market_is_active, timeframe_to_minutes, timeframe_to_msecs,
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timeframe_to_next_date, timeframe_to_prev_date,
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timeframe_to_seconds)
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from freqtrade.exchange.exchange import (date_minus_candles, market_is_active, timeframe_to_minutes,
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timeframe_to_msecs, timeframe_to_next_date,
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timeframe_to_prev_date, timeframe_to_seconds)
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from freqtrade.resolvers.exchange_resolver import ExchangeResolver
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from tests.conftest import get_mock_coro, get_patched_exchange, log_has, log_has_re, num_log_has_re
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|
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@ -939,6 +939,7 @@ def test_validate_timeframes_emulated_ohlcvi_2(default_conf, mocker):
|
||||
|
||||
|
||||
def test_validate_timeframes_not_in_config(default_conf, mocker):
|
||||
# TODO: this test does not assert ...
|
||||
del default_conf["timeframe"]
|
||||
api_mock = MagicMock()
|
||||
id_mock = PropertyMock(return_value='test_exchange')
|
||||
@ -954,6 +955,7 @@ def test_validate_timeframes_not_in_config(default_conf, mocker):
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_pairs')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_stakecurrency')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_pricing')
|
||||
mocker.patch('freqtrade.exchange.Exchange.validate_required_startup_candles')
|
||||
Exchange(default_conf)
|
||||
|
||||
|
||||
@ -1084,6 +1086,13 @@ def test_validate_required_startup_candles(default_conf, mocker, caplog):
|
||||
with pytest.raises(OperationalException, match=r'This strategy requires 6000.*'):
|
||||
Exchange(default_conf)
|
||||
|
||||
# Emulate kraken mode
|
||||
ex._ft_has['ohlcv_has_history'] = False
|
||||
with pytest.raises(OperationalException,
|
||||
match=r'This strategy requires 2500.*, '
|
||||
r'which is more than the amount.*'):
|
||||
ex.validate_required_startup_candles(2500, '5m')
|
||||
|
||||
|
||||
def test_exchange_has(default_conf, mocker):
|
||||
exchange = get_patched_exchange(mocker, default_conf)
|
||||
@ -1875,7 +1884,7 @@ def test_get_historic_ohlcv(default_conf, mocker, caplog, exchange_name, candle_
|
||||
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
|
||||
# one_call calculation * 1.8 should do 2 calls
|
||||
|
||||
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
|
||||
since = 5 * 60 * exchange.ohlcv_candle_limit('5m', CandleType.SPOT) * 1.8
|
||||
ret = exchange.get_historic_ohlcv(
|
||||
pair,
|
||||
"5m",
|
||||
@ -1941,7 +1950,7 @@ def test_get_historic_ohlcv_as_df(default_conf, mocker, exchange_name, candle_ty
|
||||
exchange._async_get_candle_history = Mock(wraps=mock_candle_hist)
|
||||
# one_call calculation * 1.8 should do 2 calls
|
||||
|
||||
since = 5 * 60 * exchange.ohlcv_candle_limit('5m') * 1.8
|
||||
since = 5 * 60 * exchange.ohlcv_candle_limit('5m', CandleType.SPOT) * 1.8
|
||||
ret = exchange.get_historic_ohlcv_as_df(
|
||||
pair,
|
||||
"5m",
|
||||
@ -1995,7 +2004,7 @@ async def test__async_get_historic_ohlcv(default_conf, mocker, caplog, exchange_
|
||||
)
|
||||
# Required candles
|
||||
candles = (end_ts - start_ts) / 300_000
|
||||
exp = candles // exchange.ohlcv_candle_limit('5m') + 1
|
||||
exp = candles // exchange.ohlcv_candle_limit('5m', CandleType.SPOT) + 1
|
||||
|
||||
# Depending on the exchange, this should be called between 1 and 6 times.
|
||||
assert exchange._api_async.fetch_ohlcv.call_count == exp
|
||||
@ -3342,7 +3351,7 @@ def test_ohlcv_candle_limit(default_conf, mocker, exchange_name):
|
||||
expected = exchange._ft_has['ohlcv_candle_limit_per_timeframe'][timeframe]
|
||||
# This should only run for bittrex
|
||||
assert exchange_name == 'bittrex'
|
||||
assert exchange.ohlcv_candle_limit(timeframe) == expected
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT) == expected
|
||||
|
||||
|
||||
def test_timeframe_to_minutes():
|
||||
@ -3424,6 +3433,17 @@ def test_timeframe_to_next_date():
|
||||
assert timeframe_to_next_date("5m", date) == date + timedelta(minutes=5)
|
||||
|
||||
|
||||
def test_date_minus_candles():
|
||||
|
||||
date = datetime(2019, 8, 12, 13, 25, 0, tzinfo=timezone.utc)
|
||||
|
||||
assert date_minus_candles("5m", 3, date) == date - timedelta(minutes=15)
|
||||
assert date_minus_candles("5m", 5, date) == date - timedelta(minutes=25)
|
||||
assert date_minus_candles("1m", 6, date) == date - timedelta(minutes=6)
|
||||
assert date_minus_candles("1h", 3, date) == date - timedelta(hours=3, minutes=25)
|
||||
assert date_minus_candles("1h", 3) == timeframe_to_prev_date('1h') - timedelta(hours=3)
|
||||
|
||||
|
||||
@pytest.mark.parametrize(
|
||||
"market_symbol,base,quote,exchange,spot,margin,futures,trademode,add_dict,expected_result",
|
||||
[
|
||||
|
@ -1,12 +1,42 @@
|
||||
from datetime import datetime, timedelta, timezone
|
||||
from unittest.mock import MagicMock, PropertyMock
|
||||
|
||||
import pytest
|
||||
|
||||
from freqtrade.enums import MarginMode, TradingMode
|
||||
from freqtrade.enums.candletype import CandleType
|
||||
from freqtrade.exchange.exchange import timeframe_to_minutes
|
||||
from tests.conftest import get_patched_exchange
|
||||
from tests.exchange.test_exchange import ccxt_exceptionhandlers
|
||||
|
||||
|
||||
def test_okx_ohlcv_candle_limit(default_conf, mocker):
|
||||
exchange = get_patched_exchange(mocker, default_conf, id='okx')
|
||||
timeframes = ('1m', '5m', '1h')
|
||||
start_time = int(datetime(2021, 1, 1, tzinfo=timezone.utc).timestamp() * 1000)
|
||||
|
||||
for timeframe in timeframes:
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT) == 300
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES) == 300
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.MARK) == 100
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUNDING_RATE) == 100
|
||||
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, start_time) == 100
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, start_time) == 100
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.MARK, start_time) == 100
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUNDING_RATE, start_time) == 100
|
||||
one_call = int((datetime.now(timezone.utc) - timedelta(
|
||||
minutes=290 * timeframe_to_minutes(timeframe))).timestamp() * 1000)
|
||||
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, one_call) == 300
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, one_call) == 300
|
||||
|
||||
one_call = int((datetime.now(timezone.utc) - timedelta(
|
||||
minutes=320 * timeframe_to_minutes(timeframe))).timestamp() * 1000)
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.SPOT, one_call) == 100
|
||||
assert exchange.ohlcv_candle_limit(timeframe, CandleType.FUTURES, one_call) == 100
|
||||
|
||||
|
||||
def test_get_maintenance_ratio_and_amt_okx(
|
||||
default_conf,
|
||||
mocker,
|
||||
|
Loading…
Reference in New Issue
Block a user