1693 lines
74 KiB
Python
1693 lines
74 KiB
Python
# pragma pylint: disable=W0603
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"""
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Cryptocurrency Exchanges support
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"""
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import asyncio
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import http
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import inspect
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import logging
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from copy import deepcopy
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from datetime import datetime, timedelta, timezone
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from math import ceil
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from typing import Any, Dict, List, Optional, Tuple
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import arrow
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import ccxt
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import ccxt.async_support as ccxt_async
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from cachetools import TTLCache
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from ccxt.base.decimal_to_precision import (ROUND_DOWN, ROUND_UP, TICK_SIZE, TRUNCATE,
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decimal_to_precision)
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from pandas import DataFrame
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from freqtrade.constants import (DEFAULT_AMOUNT_RESERVE_PERCENT, NON_OPEN_EXCHANGE_STATES,
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ListPairsWithTimeframes)
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from freqtrade.data.converter import ohlcv_to_dataframe, trades_dict_to_list
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from freqtrade.exceptions import (DDosProtection, ExchangeError, InsufficientFundsError,
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InvalidOrderException, OperationalException, PricingError,
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RetryableOrderError, TemporaryError)
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from freqtrade.exchange.common import (API_FETCH_ORDER_RETRY_COUNT, BAD_EXCHANGES,
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EXCHANGE_HAS_OPTIONAL, EXCHANGE_HAS_REQUIRED,
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remove_credentials, retrier, retrier_async)
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from freqtrade.misc import chunks, deep_merge_dicts, safe_value_fallback2
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from freqtrade.plugins.pairlist.pairlist_helpers import expand_pairlist
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CcxtModuleType = Any
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logger = logging.getLogger(__name__)
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# Workaround for adding samesite support to pre 3.8 python
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# Only applies to python3.7, and only on certain exchanges (kraken)
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# Replicates the fix from starlette (which is actually causing this problem)
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http.cookies.Morsel._reserved["samesite"] = "SameSite" # type: ignore
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class Exchange:
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_config: Dict = {}
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# Parameters to add directly to ccxt sync/async initialization.
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_ccxt_config: Dict = {}
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# Parameters to add directly to buy/sell calls (like agreeing to trading agreement)
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_params: Dict = {}
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# Additional headers - added to the ccxt object
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_headers: Dict = {}
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# Dict to specify which options each exchange implements
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# This defines defaults, which can be selectively overridden by subclasses using _ft_has
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# or by specifying them in the configuration.
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_ft_has_default: Dict = {
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"stoploss_on_exchange": False,
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"order_time_in_force": ["gtc"],
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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_partial_candle": True,
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"trades_pagination": "time", # Possible are "time" or "id"
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"trades_pagination_arg": "since",
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"l2_limit_range": None,
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"l2_limit_range_required": True, # Allow Empty L2 limit (kucoin)
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}
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_ft_has: Dict = {}
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def __init__(self, config: Dict[str, Any], validate: bool = True) -> None:
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"""
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Initializes this module with the given config,
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it does basic validation whether the specified exchange and pairs are valid.
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:return: None
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"""
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self._api: ccxt.Exchange = None
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self._api_async: ccxt_async.Exchange = None
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self._markets: Dict = {}
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self.loop = asyncio.new_event_loop()
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asyncio.set_event_loop(self.loop)
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self._config.update(config)
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# Holds last candle refreshed time of each pair
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self._pairs_last_refresh_time: Dict[Tuple[str, str], int] = {}
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# Timestamp of last markets refresh
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self._last_markets_refresh: int = 0
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# Cache for 10 minutes ...
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self._fetch_tickers_cache: TTLCache = TTLCache(maxsize=1, ttl=60 * 10)
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# Cache values for 1800 to avoid frequent polling of the exchange for prices
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# Caching only applies to RPC methods, so prices for open trades are still
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# refreshed once every iteration.
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self._sell_rate_cache: TTLCache = TTLCache(maxsize=100, ttl=1800)
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self._buy_rate_cache: TTLCache = TTLCache(maxsize=100, ttl=1800)
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# Holds candles
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self._klines: Dict[Tuple[str, str], DataFrame] = {}
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# Holds all open sell orders for dry_run
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self._dry_run_open_orders: Dict[str, Any] = {}
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remove_credentials(config)
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if config['dry_run']:
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logger.info('Instance is running with dry_run enabled')
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logger.info(f"Using CCXT {ccxt.__version__}")
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exchange_config = config['exchange']
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self.log_responses = exchange_config.get('log_responses', False)
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# Deep merge ft_has with default ft_has options
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self._ft_has = deep_merge_dicts(self._ft_has, deepcopy(self._ft_has_default))
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if exchange_config.get('_ft_has_params'):
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self._ft_has = deep_merge_dicts(exchange_config.get('_ft_has_params'),
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self._ft_has)
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logger.info("Overriding exchange._ft_has with config params, result: %s", self._ft_has)
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# Assign this directly for easy access
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self._ohlcv_partial_candle = self._ft_has['ohlcv_partial_candle']
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self._trades_pagination = self._ft_has['trades_pagination']
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self._trades_pagination_arg = self._ft_has['trades_pagination_arg']
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# Initialize ccxt objects
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ccxt_config = self._ccxt_config.copy()
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ccxt_config = deep_merge_dicts(exchange_config.get('ccxt_config', {}), ccxt_config)
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ccxt_config = deep_merge_dicts(exchange_config.get('ccxt_sync_config', {}), ccxt_config)
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self._api = self._init_ccxt(exchange_config, ccxt_kwargs=ccxt_config)
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ccxt_async_config = self._ccxt_config.copy()
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ccxt_async_config = deep_merge_dicts(exchange_config.get('ccxt_config', {}),
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ccxt_async_config)
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ccxt_async_config = deep_merge_dicts(exchange_config.get('ccxt_async_config', {}),
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ccxt_async_config)
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self._api_async = self._init_ccxt(
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exchange_config, ccxt_async, ccxt_kwargs=ccxt_async_config)
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logger.info('Using Exchange "%s"', self.name)
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if validate:
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# Check if timeframe is available
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self.validate_timeframes(config.get('timeframe'))
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# Initial markets load
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self._load_markets()
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# Check if all pairs are available
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self.validate_stakecurrency(config['stake_currency'])
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if not exchange_config.get('skip_pair_validation'):
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self.validate_pairs(config['exchange']['pair_whitelist'])
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self.validate_ordertypes(config.get('order_types', {}))
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self.validate_order_time_in_force(config.get('order_time_in_force', {}))
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self.required_candle_call_count = self.validate_required_startup_candles(
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config.get('startup_candle_count', 0), config.get('timeframe', ''))
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# Converts the interval provided in minutes in config to seconds
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self.markets_refresh_interval: int = exchange_config.get(
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"markets_refresh_interval", 60) * 60
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def __del__(self):
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"""
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Destructor - clean up async stuff
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"""
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self.close()
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def close(self):
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logger.debug("Exchange object destroyed, closing async loop")
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if (self._api_async and inspect.iscoroutinefunction(self._api_async.close)
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and self._api_async.session):
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logger.info("Closing async ccxt session.")
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self.loop.run_until_complete(self._api_async.close())
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def _init_ccxt(self, exchange_config: Dict[str, Any], ccxt_module: CcxtModuleType = ccxt,
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ccxt_kwargs: Dict = {}) -> ccxt.Exchange:
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"""
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Initialize ccxt with given config and return valid
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ccxt instance.
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"""
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# Find matching class for the given exchange name
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name = exchange_config['name']
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if not is_exchange_known_ccxt(name, ccxt_module):
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raise OperationalException(f'Exchange {name} is not supported by ccxt')
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ex_config = {
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'apiKey': exchange_config.get('key'),
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'secret': exchange_config.get('secret'),
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'password': exchange_config.get('password'),
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'uid': exchange_config.get('uid', ''),
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}
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if ccxt_kwargs:
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logger.info('Applying additional ccxt config: %s', ccxt_kwargs)
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if self._headers:
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# Inject static headers after the above output to not confuse users.
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ccxt_kwargs = deep_merge_dicts({'headers': self._headers}, ccxt_kwargs)
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if ccxt_kwargs:
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ex_config.update(ccxt_kwargs)
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try:
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api = getattr(ccxt_module, name.lower())(ex_config)
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except (KeyError, AttributeError) as e:
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raise OperationalException(f'Exchange {name} is not supported') from e
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except ccxt.BaseError as e:
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raise OperationalException(f"Initialization of ccxt failed. Reason: {e}") from e
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self.set_sandbox(api, exchange_config, name)
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return api
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@property
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def name(self) -> str:
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"""exchange Name (from ccxt)"""
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return self._api.name
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@property
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def id(self) -> str:
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"""exchange ccxt id"""
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return self._api.id
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@property
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def timeframes(self) -> List[str]:
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return list((self._api.timeframes or {}).keys())
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@property
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def markets(self) -> Dict:
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"""exchange ccxt markets"""
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if not self._markets:
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logger.info("Markets were not loaded. Loading them now..")
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self._load_markets()
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return self._markets
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@property
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def precisionMode(self) -> str:
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"""exchange ccxt precisionMode"""
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return self._api.precisionMode
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def _log_exchange_response(self, endpoint, response) -> None:
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""" Log exchange responses """
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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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"""
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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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: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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timeframe, self._ft_has.get('ohlcv_candle_limit')))
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def get_markets(self, base_currencies: List[str] = None, quote_currencies: List[str] = None,
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pairs_only: bool = False, active_only: bool = False) -> Dict[str, Any]:
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"""
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Return exchange ccxt markets, filtered out by base currency and quote currency
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if this was requested in parameters.
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TODO: consider moving it to the Dataprovider
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"""
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markets = self.markets
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if not markets:
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raise OperationalException("Markets were not loaded.")
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if base_currencies:
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markets = {k: v for k, v in markets.items() if v['base'] in base_currencies}
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if quote_currencies:
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markets = {k: v for k, v in markets.items() if v['quote'] in quote_currencies}
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if pairs_only:
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markets = {k: v for k, v in markets.items() if self.market_is_tradable(v)}
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if active_only:
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markets = {k: v for k, v in markets.items() if market_is_active(v)}
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return markets
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def get_quote_currencies(self) -> List[str]:
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"""
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Return a list of supported quote currencies
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"""
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markets = self.markets
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return sorted(set([x['quote'] for _, x in markets.items()]))
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def get_pair_quote_currency(self, pair: str) -> str:
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"""
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Return a pair's quote currency
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"""
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return self.markets.get(pair, {}).get('quote', '')
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def get_pair_base_currency(self, pair: str) -> str:
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"""
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Return a pair's quote currency
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"""
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return self.markets.get(pair, {}).get('base', '')
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def market_is_tradable(self, market: Dict[str, Any]) -> bool:
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"""
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Check if the market symbol is tradable by Freqtrade.
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By default, checks if it's splittable by `/` and both sides correspond to base / quote
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"""
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symbol_parts = market['symbol'].split('/')
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return (len(symbol_parts) == 2 and
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len(symbol_parts[0]) > 0 and
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len(symbol_parts[1]) > 0 and
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symbol_parts[0] == market.get('base') and
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symbol_parts[1] == market.get('quote')
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)
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def klines(self, pair_interval: Tuple[str, str], copy: bool = True) -> DataFrame:
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if pair_interval in self._klines:
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return self._klines[pair_interval].copy() if copy else self._klines[pair_interval]
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else:
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return DataFrame()
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def set_sandbox(self, api: ccxt.Exchange, exchange_config: dict, name: str) -> None:
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if exchange_config.get('sandbox'):
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if api.urls.get('test'):
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api.urls['api'] = api.urls['test']
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logger.info("Enabled Sandbox API on %s", name)
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else:
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logger.warning(
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f"No Sandbox URL in CCXT for {name}, exiting. Please check your config.json")
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raise OperationalException(f'Exchange {name} does not provide a sandbox api')
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def _load_async_markets(self, reload: bool = False) -> None:
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try:
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if self._api_async:
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self.loop.run_until_complete(
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self._api_async.load_markets(reload=reload))
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except (asyncio.TimeoutError, ccxt.BaseError) as e:
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logger.warning('Could not load async markets. Reason: %s', e)
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return
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def _load_markets(self) -> None:
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""" Initialize markets both sync and async """
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try:
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self._markets = self._api.load_markets()
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self._load_async_markets()
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self._last_markets_refresh = arrow.utcnow().int_timestamp
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except ccxt.BaseError:
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logger.exception('Unable to initialize markets.')
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def reload_markets(self) -> None:
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"""Reload markets both sync and async if refresh interval has passed """
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# Check whether markets have to be reloaded
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if (self._last_markets_refresh > 0) and (
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self._last_markets_refresh + self.markets_refresh_interval
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> arrow.utcnow().int_timestamp):
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return None
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logger.debug("Performing scheduled market reload..")
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try:
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self._markets = self._api.load_markets(reload=True)
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# Also reload async markets to avoid issues with newly listed pairs
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self._load_async_markets(reload=True)
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self._last_markets_refresh = arrow.utcnow().int_timestamp
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except ccxt.BaseError:
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logger.exception("Could not reload markets.")
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def validate_stakecurrency(self, stake_currency: str) -> None:
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"""
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Checks stake-currency against available currencies on the exchange.
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Only runs on startup. If markets have not been loaded, there's been a problem with
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the connection to the exchange.
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:param stake_currency: Stake-currency to validate
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:raise: OperationalException if stake-currency is not available.
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"""
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if not self._markets:
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raise OperationalException(
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'Could not load markets, therefore cannot start. '
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'Please investigate the above error for more details.'
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)
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quote_currencies = self.get_quote_currencies()
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if stake_currency not in quote_currencies:
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raise OperationalException(
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f"{stake_currency} is not available as stake on {self.name}. "
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f"Available currencies are: {', '.join(quote_currencies)}")
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def validate_pairs(self, pairs: List[str]) -> None:
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"""
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Checks if all given pairs are tradable on the current exchange.
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:param pairs: list of pairs
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:raise: OperationalException if one pair is not available
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:return: None
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"""
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if not self.markets:
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logger.warning('Unable to validate pairs (assuming they are correct).')
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return
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extended_pairs = expand_pairlist(pairs, list(self.markets), keep_invalid=True)
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invalid_pairs = []
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for pair in extended_pairs:
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# Note: ccxt has BaseCurrency/QuoteCurrency format for pairs
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if self.markets and pair not in self.markets:
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raise OperationalException(
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f'Pair {pair} is not available on {self.name}. '
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f'Please remove {pair} from your whitelist.')
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# From ccxt Documentation:
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# markets.info: An associative array of non-common market properties,
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# including fees, rates, limits and other general market information.
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# The internal info array is different for each particular market,
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# its contents depend on the exchange.
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# It can also be a string or similar ... so we need to verify that first.
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elif (isinstance(self.markets[pair].get('info', None), dict)
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and self.markets[pair].get('info', {}).get('prohibitedIn', False)):
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# Warn users about restricted pairs in whitelist.
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# We cannot determine reliably if Users are affected.
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logger.warning(f"Pair {pair} is restricted for some users on this exchange."
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f"Please check if you are impacted by this restriction "
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f"on the exchange and eventually remove {pair} from your whitelist.")
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if (self._config['stake_currency'] and
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self.get_pair_quote_currency(pair) != self._config['stake_currency']):
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invalid_pairs.append(pair)
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if invalid_pairs:
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raise OperationalException(
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f"Stake-currency '{self._config['stake_currency']}' not compatible with "
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f"pair-whitelist. Please remove the following pairs: {invalid_pairs}")
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def get_valid_pair_combination(self, curr_1: str, curr_2: str) -> str:
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"""
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Get valid pair combination of curr_1 and curr_2 by trying both combinations.
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"""
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for pair in [f"{curr_1}/{curr_2}", f"{curr_2}/{curr_1}"]:
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if pair in self.markets and self.markets[pair].get('active'):
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return pair
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raise ExchangeError(f"Could not combine {curr_1} and {curr_2} to get a valid pair.")
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def validate_timeframes(self, timeframe: Optional[str]) -> None:
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"""
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Check if timeframe from config is a supported timeframe on the exchange
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"""
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if not hasattr(self._api, "timeframes") or self._api.timeframes is None:
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# If timeframes attribute is missing (or is None), the exchange probably
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# has no fetchOHLCV method.
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# Therefore we also show that.
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raise OperationalException(
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f"The ccxt library does not provide the list of timeframes "
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f"for the exchange \"{self.name}\" and this exchange "
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f"is therefore not supported. ccxt fetchOHLCV: {self.exchange_has('fetchOHLCV')}")
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if timeframe and (timeframe not in self.timeframes):
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raise OperationalException(
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f"Invalid timeframe '{timeframe}'. This exchange supports: {self.timeframes}")
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|
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if timeframe and timeframe_to_minutes(timeframe) < 1:
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raise OperationalException("Timeframes < 1m are currently not supported by Freqtrade.")
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|
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def validate_ordertypes(self, order_types: Dict) -> None:
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"""
|
|
Checks if order-types configured in strategy/config are supported
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"""
|
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if any(v == 'market' for k, v in order_types.items()):
|
|
if not self.exchange_has('createMarketOrder'):
|
|
raise OperationalException(
|
|
f'Exchange {self.name} does not support market orders.')
|
|
|
|
if (order_types.get("stoploss_on_exchange")
|
|
and not self._ft_has.get("stoploss_on_exchange", False)):
|
|
raise OperationalException(
|
|
f'On exchange stoploss is not supported for {self.name}.'
|
|
)
|
|
|
|
def validate_order_time_in_force(self, order_time_in_force: Dict) -> None:
|
|
"""
|
|
Checks if order time in force configured in strategy/config are supported
|
|
"""
|
|
if any(v not in self._ft_has["order_time_in_force"]
|
|
for k, v in order_time_in_force.items()):
|
|
raise OperationalException(
|
|
f'Time in force policies are not supported for {self.name} yet.')
|
|
|
|
def validate_required_startup_candles(self, startup_candles: int, timeframe: str) -> int:
|
|
"""
|
|
Checks if required startup_candles is more than ohlcv_candle_limit().
|
|
Requires a grace-period of 5 candles - so a startup-period up to 494 is allowed by default.
|
|
"""
|
|
candle_limit = self.ohlcv_candle_limit(timeframe)
|
|
# Require one more candle - to account for the still open candle.
|
|
candle_count = startup_candles + 1
|
|
# Allow 5 calls to the exchange per pair
|
|
required_candle_call_count = int(
|
|
(candle_count / candle_limit) + (0 if candle_count % candle_limit == 0 else 1))
|
|
|
|
if required_candle_call_count > 5:
|
|
# Only allow 5 calls per pair to somewhat limit the impact
|
|
raise OperationalException(
|
|
f"This strategy requires {startup_candles} candles to start, which is more than 5x "
|
|
f"the amount of candles {self.name} provides for {timeframe}.")
|
|
|
|
if required_candle_call_count > 1:
|
|
logger.warning(f"Using {required_candle_call_count} calls to get OHLCV. "
|
|
f"This can result in slower operations for the bot. Please check "
|
|
f"if you really need {startup_candles} candles for your strategy")
|
|
return required_candle_call_count
|
|
|
|
def exchange_has(self, endpoint: str) -> bool:
|
|
"""
|
|
Checks if exchange implements a specific API endpoint.
|
|
Wrapper around ccxt 'has' attribute
|
|
:param endpoint: Name of endpoint (e.g. 'fetchOHLCV', 'fetchTickers')
|
|
:return: bool
|
|
"""
|
|
return endpoint in self._api.has and self._api.has[endpoint]
|
|
|
|
def amount_to_precision(self, pair: str, amount: float) -> float:
|
|
"""
|
|
Returns the amount to buy or sell to a precision the Exchange accepts
|
|
Re-implementation of ccxt internal methods - ensuring we can test the result is correct
|
|
based on our definitions.
|
|
"""
|
|
if self.markets[pair]['precision']['amount']:
|
|
amount = float(decimal_to_precision(amount, rounding_mode=TRUNCATE,
|
|
precision=self.markets[pair]['precision']['amount'],
|
|
counting_mode=self.precisionMode,
|
|
))
|
|
|
|
return amount
|
|
|
|
def price_to_precision(self, pair: str, price: float) -> float:
|
|
"""
|
|
Returns the price rounded up to the precision the Exchange accepts.
|
|
Partial Re-implementation of ccxt internal method decimal_to_precision(),
|
|
which does not support rounding up
|
|
TODO: If ccxt supports ROUND_UP for decimal_to_precision(), we could remove this and
|
|
align with amount_to_precision().
|
|
Rounds up
|
|
"""
|
|
if self.markets[pair]['precision']['price']:
|
|
# price = float(decimal_to_precision(price, rounding_mode=ROUND,
|
|
# precision=self.markets[pair]['precision']['price'],
|
|
# counting_mode=self.precisionMode,
|
|
# ))
|
|
if self.precisionMode == TICK_SIZE:
|
|
precision = self.markets[pair]['precision']['price']
|
|
missing = price % precision
|
|
if missing != 0:
|
|
price = round(price - missing + precision, 10)
|
|
else:
|
|
symbol_prec = self.markets[pair]['precision']['price']
|
|
big_price = price * pow(10, symbol_prec)
|
|
price = ceil(big_price) / pow(10, symbol_prec)
|
|
return price
|
|
|
|
def price_get_one_pip(self, pair: str, price: float) -> float:
|
|
"""
|
|
Get's the "1 pip" value for this pair.
|
|
Used in PriceFilter to calculate the 1pip movements.
|
|
"""
|
|
precision = self.markets[pair]['precision']['price']
|
|
if self.precisionMode == TICK_SIZE:
|
|
return precision
|
|
else:
|
|
return 1 / pow(10, precision)
|
|
|
|
def get_min_pair_stake_amount(self, pair: str, price: float,
|
|
stoploss: float) -> Optional[float]:
|
|
try:
|
|
market = self.markets[pair]
|
|
except KeyError:
|
|
raise ValueError(f"Can't get market information for symbol {pair}")
|
|
|
|
if 'limits' not in market:
|
|
return None
|
|
|
|
min_stake_amounts = []
|
|
limits = market['limits']
|
|
if ('cost' in limits and 'min' in limits['cost']
|
|
and limits['cost']['min'] is not None):
|
|
min_stake_amounts.append(limits['cost']['min'])
|
|
|
|
if ('amount' in limits and 'min' in limits['amount']
|
|
and limits['amount']['min'] is not None):
|
|
min_stake_amounts.append(limits['amount']['min'] * price)
|
|
|
|
if not min_stake_amounts:
|
|
return None
|
|
|
|
# reserve some percent defined in config (5% default) + stoploss
|
|
amount_reserve_percent = 1.0 + self._config.get('amount_reserve_percent',
|
|
DEFAULT_AMOUNT_RESERVE_PERCENT)
|
|
amount_reserve_percent = (
|
|
amount_reserve_percent / (1 - abs(stoploss)) if abs(stoploss) != 1 else 1.5
|
|
)
|
|
# it should not be more than 50%
|
|
amount_reserve_percent = max(min(amount_reserve_percent, 1.5), 1)
|
|
|
|
# The value returned should satisfy both limits: for amount (base currency) and
|
|
# for cost (quote, stake currency), so max() is used here.
|
|
# See also #2575 at github.
|
|
return max(min_stake_amounts) * amount_reserve_percent
|
|
|
|
# Dry-run methods
|
|
|
|
def create_dry_run_order(self, pair: str, ordertype: str, side: str, amount: float,
|
|
rate: float, params: Dict = {}) -> Dict[str, Any]:
|
|
order_id = f'dry_run_{side}_{datetime.now().timestamp()}'
|
|
_amount = self.amount_to_precision(pair, amount)
|
|
dry_order: Dict[str, Any] = {
|
|
'id': order_id,
|
|
'symbol': pair,
|
|
'price': rate,
|
|
'average': rate,
|
|
'amount': _amount,
|
|
'cost': _amount * rate,
|
|
'type': ordertype,
|
|
'side': side,
|
|
'remaining': _amount,
|
|
'datetime': arrow.utcnow().isoformat(),
|
|
'timestamp': arrow.utcnow().int_timestamp * 1000,
|
|
'status': "closed" if ordertype == "market" else "open",
|
|
'fee': None,
|
|
'info': {}
|
|
}
|
|
if dry_order["type"] in ["stop_loss_limit", "stop-loss-limit"]:
|
|
dry_order["info"] = {"stopPrice": dry_order["price"]}
|
|
|
|
if dry_order["type"] == "market":
|
|
# Update market order pricing
|
|
average = self.get_dry_market_fill_price(pair, side, amount, rate)
|
|
dry_order.update({
|
|
'average': average,
|
|
'cost': dry_order['amount'] * average,
|
|
})
|
|
dry_order = self.add_dry_order_fee(pair, dry_order)
|
|
|
|
dry_order = self.check_dry_limit_order_filled(dry_order)
|
|
|
|
self._dry_run_open_orders[dry_order["id"]] = dry_order
|
|
# Copy order and close it - so the returned order is open unless it's a market order
|
|
return dry_order
|
|
|
|
def add_dry_order_fee(self, pair: str, dry_order: Dict[str, Any]) -> Dict[str, Any]:
|
|
dry_order.update({
|
|
'fee': {
|
|
'currency': self.get_pair_quote_currency(pair),
|
|
'cost': dry_order['cost'] * self.get_fee(pair),
|
|
'rate': self.get_fee(pair)
|
|
}
|
|
})
|
|
return dry_order
|
|
|
|
def get_dry_market_fill_price(self, pair: str, side: str, amount: float, rate: float) -> float:
|
|
"""
|
|
Get the market order fill price based on orderbook interpolation
|
|
"""
|
|
if self.exchange_has('fetchL2OrderBook'):
|
|
ob = self.fetch_l2_order_book(pair, 20)
|
|
ob_type = 'asks' if side == 'buy' else 'bids'
|
|
slippage = 0.05
|
|
max_slippage_val = rate * ((1 + slippage) if side == 'buy' else (1 - slippage))
|
|
|
|
remaining_amount = amount
|
|
filled_amount = 0
|
|
for book_entry in ob[ob_type]:
|
|
book_entry_price = book_entry[0]
|
|
book_entry_coin_volume = book_entry[1]
|
|
if remaining_amount > 0:
|
|
if remaining_amount < book_entry_coin_volume:
|
|
# Orderbook at this slot bigger than remaining amount
|
|
filled_amount += remaining_amount * book_entry_price
|
|
break
|
|
else:
|
|
filled_amount += book_entry_coin_volume * book_entry_price
|
|
remaining_amount -= book_entry_coin_volume
|
|
else:
|
|
break
|
|
else:
|
|
# If remaining_amount wasn't consumed completely (break was not called)
|
|
filled_amount += remaining_amount * book_entry_price
|
|
forecast_avg_filled_price = max(filled_amount, 0) / amount
|
|
# Limit max. slippage to specified value
|
|
if side == 'buy':
|
|
forecast_avg_filled_price = min(forecast_avg_filled_price, max_slippage_val)
|
|
|
|
else:
|
|
forecast_avg_filled_price = max(forecast_avg_filled_price, max_slippage_val)
|
|
|
|
return self.price_to_precision(pair, forecast_avg_filled_price)
|
|
|
|
return rate
|
|
|
|
def _is_dry_limit_order_filled(self, pair: str, side: str, limit: float) -> bool:
|
|
if not self.exchange_has('fetchL2OrderBook'):
|
|
return True
|
|
ob = self.fetch_l2_order_book(pair, 1)
|
|
try:
|
|
if side == 'buy':
|
|
price = ob['asks'][0][0]
|
|
logger.debug(f"{pair} checking dry buy-order: price={price}, limit={limit}")
|
|
if limit >= price:
|
|
return True
|
|
else:
|
|
price = ob['bids'][0][0]
|
|
logger.debug(f"{pair} checking dry sell-order: price={price}, limit={limit}")
|
|
if limit <= price:
|
|
return True
|
|
except IndexError:
|
|
# Ignore empty orderbooks when filling - can be filled with the next iteration.
|
|
pass
|
|
return False
|
|
|
|
def check_dry_limit_order_filled(self, order: Dict[str, Any]) -> Dict[str, Any]:
|
|
"""
|
|
Check dry-run limit order fill and update fee (if it filled).
|
|
"""
|
|
if order['status'] != "closed" and order['type'] in ["limit"]:
|
|
pair = order['symbol']
|
|
if self._is_dry_limit_order_filled(pair, order['side'], order['price']):
|
|
order.update({
|
|
'status': 'closed',
|
|
'filled': order['amount'],
|
|
'remaining': 0,
|
|
})
|
|
self.add_dry_order_fee(pair, order)
|
|
|
|
return order
|
|
|
|
def fetch_dry_run_order(self, order_id) -> Dict[str, Any]:
|
|
"""
|
|
Return dry-run order
|
|
Only call if running in dry-run mode.
|
|
"""
|
|
try:
|
|
order = self._dry_run_open_orders[order_id]
|
|
order = self.check_dry_limit_order_filled(order)
|
|
return order
|
|
except KeyError as e:
|
|
# Gracefully handle errors with dry-run orders.
|
|
raise InvalidOrderException(
|
|
f'Tried to get an invalid dry-run-order (id: {order_id}). Message: {e}') from e
|
|
|
|
# Order handling
|
|
|
|
def create_order(self, pair: str, ordertype: str, side: str, amount: float,
|
|
rate: float, time_in_force: str = 'gtc') -> Dict:
|
|
|
|
if self._config['dry_run']:
|
|
dry_order = self.create_dry_run_order(pair, ordertype, side, amount, rate)
|
|
return dry_order
|
|
|
|
params = self._params.copy()
|
|
if time_in_force != 'gtc' and ordertype != 'market':
|
|
param = self._ft_has.get('time_in_force_parameter', '')
|
|
params.update({param: time_in_force})
|
|
|
|
try:
|
|
# Set the precision for amount and price(rate) as accepted by the exchange
|
|
amount = self.amount_to_precision(pair, amount)
|
|
needs_price = (ordertype != 'market'
|
|
or self._api.options.get("createMarketBuyOrderRequiresPrice", False))
|
|
rate_for_order = self.price_to_precision(pair, rate) if needs_price else None
|
|
|
|
order = self._api.create_order(pair, ordertype, side,
|
|
amount, rate_for_order, params)
|
|
self._log_exchange_response('create_order', order)
|
|
return order
|
|
|
|
except ccxt.InsufficientFunds as e:
|
|
raise InsufficientFundsError(
|
|
f'Insufficient funds to create {ordertype} {side} order on market {pair}. '
|
|
f'Tried to {side} amount {amount} at rate {rate}.'
|
|
f'Message: {e}') from e
|
|
except ccxt.InvalidOrder as e:
|
|
raise ExchangeError(
|
|
f'Could not create {ordertype} {side} order on market {pair}. '
|
|
f'Tried to {side} amount {amount} at rate {rate}. '
|
|
f'Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not place {side} order due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
|
|
"""
|
|
Verify stop_loss against stoploss-order value (limit or price)
|
|
Returns True if adjustment is necessary.
|
|
"""
|
|
raise OperationalException(f"stoploss is not implemented for {self.name}.")
|
|
|
|
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
|
|
"""
|
|
creates a stoploss order.
|
|
The precise ordertype is determined by the order_types dict or exchange default.
|
|
Since ccxt does not unify stoploss-limit orders yet, this needs to be implemented in each
|
|
exchange's subclass.
|
|
The exception below should never raise, since we disallow
|
|
starting the bot in validate_ordertypes()
|
|
Note: Changes to this interface need to be applied to all sub-classes too.
|
|
"""
|
|
|
|
raise OperationalException(f"stoploss is not implemented for {self.name}.")
|
|
|
|
@retrier(retries=API_FETCH_ORDER_RETRY_COUNT)
|
|
def fetch_order(self, order_id: str, pair: str) -> Dict:
|
|
if self._config['dry_run']:
|
|
return self.fetch_dry_run_order(order_id)
|
|
try:
|
|
order = self._api.fetch_order(order_id, pair)
|
|
self._log_exchange_response('fetch_order', order)
|
|
return order
|
|
except ccxt.OrderNotFound as e:
|
|
raise RetryableOrderError(
|
|
f'Order not found (pair: {pair} id: {order_id}). Message: {e}') from e
|
|
except ccxt.InvalidOrder as e:
|
|
raise InvalidOrderException(
|
|
f'Tried to get an invalid order (pair: {pair} id: {order_id}). Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not get order due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
# Assign method to fetch_stoploss_order to allow easy overriding in other classes
|
|
fetch_stoploss_order = fetch_order
|
|
|
|
def fetch_order_or_stoploss_order(self, order_id: str, pair: str,
|
|
stoploss_order: bool = False) -> Dict:
|
|
"""
|
|
Simple wrapper calling either fetch_order or fetch_stoploss_order depending on
|
|
the stoploss_order parameter
|
|
:param order_id: OrderId to fetch order
|
|
:param pair: Pair corresponding to order_id
|
|
:param stoploss_order: If true, uses fetch_stoploss_order, otherwise fetch_order.
|
|
"""
|
|
if stoploss_order:
|
|
return self.fetch_stoploss_order(order_id, pair)
|
|
return self.fetch_order(order_id, pair)
|
|
|
|
def check_order_canceled_empty(self, order: Dict) -> bool:
|
|
"""
|
|
Verify if an order has been cancelled without being partially filled
|
|
:param order: Order dict as returned from fetch_order()
|
|
:return: True if order has been cancelled without being filled, False otherwise.
|
|
"""
|
|
return (order.get('status') in NON_OPEN_EXCHANGE_STATES
|
|
and order.get('filled') == 0.0)
|
|
|
|
@retrier
|
|
def cancel_order(self, order_id: str, pair: str) -> Dict:
|
|
if self._config['dry_run']:
|
|
try:
|
|
order = self.fetch_dry_run_order(order_id)
|
|
|
|
order.update({'status': 'canceled', 'filled': 0.0, 'remaining': order['amount']})
|
|
return order
|
|
except InvalidOrderException:
|
|
return {}
|
|
|
|
try:
|
|
order = self._api.cancel_order(order_id, pair)
|
|
self._log_exchange_response('cancel_order', order)
|
|
return order
|
|
except ccxt.InvalidOrder as e:
|
|
raise InvalidOrderException(
|
|
f'Could not cancel order. Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not cancel order due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
# Assign method to cancel_stoploss_order to allow easy overriding in other classes
|
|
cancel_stoploss_order = cancel_order
|
|
|
|
def is_cancel_order_result_suitable(self, corder) -> bool:
|
|
if not isinstance(corder, dict):
|
|
return False
|
|
|
|
required = ('fee', 'status', 'amount')
|
|
return all(k in corder for k in required)
|
|
|
|
def cancel_order_with_result(self, order_id: str, pair: str, amount: float) -> Dict:
|
|
"""
|
|
Cancel order returning a result.
|
|
Creates a fake result if cancel order returns a non-usable result
|
|
and fetch_order does not work (certain exchanges don't return cancelled orders)
|
|
:param order_id: Orderid to cancel
|
|
:param pair: Pair corresponding to order_id
|
|
:param amount: Amount to use for fake response
|
|
:return: Result from either cancel_order if usable, or fetch_order
|
|
"""
|
|
try:
|
|
corder = self.cancel_order(order_id, pair)
|
|
if self.is_cancel_order_result_suitable(corder):
|
|
return corder
|
|
except InvalidOrderException:
|
|
logger.warning(f"Could not cancel order {order_id} for {pair}.")
|
|
try:
|
|
order = self.fetch_order(order_id, pair)
|
|
except InvalidOrderException:
|
|
logger.warning(f"Could not fetch cancelled order {order_id}.")
|
|
order = {'fee': {}, 'status': 'canceled', 'amount': amount, 'info': {}}
|
|
|
|
return order
|
|
|
|
def cancel_stoploss_order_with_result(self, order_id: str, pair: str, amount: float) -> Dict:
|
|
"""
|
|
Cancel stoploss order returning a result.
|
|
Creates a fake result if cancel order returns a non-usable result
|
|
and fetch_order does not work (certain exchanges don't return cancelled orders)
|
|
:param order_id: stoploss-order-id to cancel
|
|
:param pair: Pair corresponding to order_id
|
|
:param amount: Amount to use for fake response
|
|
:return: Result from either cancel_order if usable, or fetch_order
|
|
"""
|
|
corder = self.cancel_stoploss_order(order_id, pair)
|
|
if self.is_cancel_order_result_suitable(corder):
|
|
return corder
|
|
try:
|
|
order = self.fetch_stoploss_order(order_id, pair)
|
|
except InvalidOrderException:
|
|
logger.warning(f"Could not fetch cancelled stoploss order {order_id}.")
|
|
order = {'fee': {}, 'status': 'canceled', 'amount': amount, 'info': {}}
|
|
|
|
return order
|
|
|
|
@retrier
|
|
def get_balances(self) -> dict:
|
|
|
|
try:
|
|
balances = self._api.fetch_balance()
|
|
# Remove additional info from ccxt results
|
|
balances.pop("info", None)
|
|
balances.pop("free", None)
|
|
balances.pop("total", None)
|
|
balances.pop("used", None)
|
|
|
|
return balances
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not get balance due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
@retrier
|
|
def get_tickers(self, cached: bool = False) -> Dict:
|
|
"""
|
|
:param cached: Allow cached result
|
|
:return: fetch_tickers result
|
|
"""
|
|
if cached:
|
|
tickers = self._fetch_tickers_cache.get('fetch_tickers')
|
|
if tickers:
|
|
return tickers
|
|
try:
|
|
tickers = self._api.fetch_tickers()
|
|
self._fetch_tickers_cache['fetch_tickers'] = tickers
|
|
return tickers
|
|
except ccxt.NotSupported as e:
|
|
raise OperationalException(
|
|
f'Exchange {self._api.name} does not support fetching tickers in batch. '
|
|
f'Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not load tickers due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
# Pricing info
|
|
|
|
@retrier
|
|
def fetch_ticker(self, pair: str) -> dict:
|
|
try:
|
|
if (pair not in self.markets or
|
|
self.markets[pair].get('active', False) is False):
|
|
raise ExchangeError(f"Pair {pair} not available")
|
|
data = self._api.fetch_ticker(pair)
|
|
return data
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not load ticker due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
@staticmethod
|
|
def get_next_limit_in_list(limit: int, limit_range: Optional[List[int]],
|
|
range_required: bool = True):
|
|
"""
|
|
Get next greater value in the list.
|
|
Used by fetch_l2_order_book if the api only supports a limited range
|
|
"""
|
|
if not limit_range:
|
|
return limit
|
|
|
|
result = min([x for x in limit_range if limit <= x] + [max(limit_range)])
|
|
if not range_required and limit > result:
|
|
# Range is not required - we can use None as parameter.
|
|
return None
|
|
return result
|
|
|
|
@retrier
|
|
def fetch_l2_order_book(self, pair: str, limit: int = 100) -> dict:
|
|
"""
|
|
Get L2 order book from exchange.
|
|
Can be limited to a certain amount (if supported).
|
|
Returns a dict in the format
|
|
{'asks': [price, volume], 'bids': [price, volume]}
|
|
"""
|
|
limit1 = self.get_next_limit_in_list(limit, self._ft_has['l2_limit_range'],
|
|
self._ft_has['l2_limit_range_required'])
|
|
try:
|
|
|
|
return self._api.fetch_l2_order_book(pair, limit1)
|
|
except ccxt.NotSupported as e:
|
|
raise OperationalException(
|
|
f'Exchange {self._api.name} does not support fetching order book.'
|
|
f'Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not get order book due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
def get_rate(self, pair: str, refresh: bool, side: str) -> float:
|
|
"""
|
|
Calculates bid/ask target
|
|
bid rate - between current ask price and last price
|
|
ask rate - either using ticker bid or first bid based on orderbook
|
|
or remain static in any other case since it's not updating.
|
|
:param pair: Pair to get rate for
|
|
:param refresh: allow cached data
|
|
:param side: "buy" or "sell"
|
|
:return: float: Price
|
|
:raises PricingError if orderbook price could not be determined.
|
|
"""
|
|
cache_rate: TTLCache = self._buy_rate_cache if side == "buy" else self._sell_rate_cache
|
|
[strat_name, name] = ['bid_strategy', 'Buy'] if side == "buy" else ['ask_strategy', 'Sell']
|
|
|
|
if not refresh:
|
|
rate = cache_rate.get(pair)
|
|
# Check if cache has been invalidated
|
|
if rate:
|
|
logger.debug(f"Using cached {side} rate for {pair}.")
|
|
return rate
|
|
|
|
conf_strategy = self._config.get(strat_name, {})
|
|
|
|
if conf_strategy.get('use_order_book', False) and ('use_order_book' in conf_strategy):
|
|
|
|
order_book_top = conf_strategy.get('order_book_top', 1)
|
|
order_book = self.fetch_l2_order_book(pair, order_book_top)
|
|
logger.debug('order_book %s', order_book)
|
|
# top 1 = index 0
|
|
try:
|
|
rate = order_book[f"{conf_strategy['price_side']}s"][order_book_top - 1][0]
|
|
except (IndexError, KeyError) as e:
|
|
logger.warning(
|
|
f"{name} Price at location {order_book_top} from orderbook could not be "
|
|
f"determined. Orderbook: {order_book}"
|
|
)
|
|
raise PricingError from e
|
|
price_side = {conf_strategy['price_side'].capitalize()}
|
|
logger.debug(f"{name} price from orderbook {price_side}"
|
|
f"side - top {order_book_top} order book {side} rate {rate:.8f}")
|
|
else:
|
|
logger.debug(f"Using Last {conf_strategy['price_side'].capitalize()} / Last Price")
|
|
ticker = self.fetch_ticker(pair)
|
|
ticker_rate = ticker[conf_strategy['price_side']]
|
|
if ticker['last'] and ticker_rate:
|
|
if side == 'buy' and ticker_rate > ticker['last']:
|
|
balance = conf_strategy.get('ask_last_balance', 0.0)
|
|
ticker_rate = ticker_rate + balance * (ticker['last'] - ticker_rate)
|
|
elif side == 'sell' and ticker_rate < ticker['last']:
|
|
balance = conf_strategy.get('bid_last_balance', 0.0)
|
|
ticker_rate = ticker_rate - balance * (ticker_rate - ticker['last'])
|
|
rate = ticker_rate
|
|
|
|
if rate is None:
|
|
raise PricingError(f"{name}-Rate for {pair} was empty.")
|
|
cache_rate[pair] = rate
|
|
|
|
return rate
|
|
|
|
# Fee handling
|
|
|
|
@retrier
|
|
def get_trades_for_order(self, order_id: str, pair: str, since: datetime,
|
|
params: Optional[Dict] = None) -> List:
|
|
"""
|
|
Fetch Orders using the "fetch_my_trades" endpoint and filter them by order-id.
|
|
The "since" argument passed in is coming from the database and is in UTC,
|
|
as timezone-native datetime object.
|
|
From the python documentation:
|
|
> Naive datetime instances are assumed to represent local time
|
|
Therefore, calling "since.timestamp()" will get the UTC timestamp, after applying the
|
|
transformation from local timezone to UTC.
|
|
This works for timezones UTC+ since then the result will contain trades from a few hours
|
|
instead of from the last 5 seconds, however fails for UTC- timezones,
|
|
since we're then asking for trades with a "since" argument in the future.
|
|
|
|
:param order_id order_id: Order-id as given when creating the order
|
|
:param pair: Pair the order is for
|
|
:param since: datetime object of the order creation time. Assumes object is in UTC.
|
|
"""
|
|
if self._config['dry_run']:
|
|
return []
|
|
if not self.exchange_has('fetchMyTrades'):
|
|
return []
|
|
try:
|
|
# Allow 5s offset to catch slight time offsets (discovered in #1185)
|
|
# since needs to be int in milliseconds
|
|
_params = params if params else {}
|
|
my_trades = self._api.fetch_my_trades(
|
|
pair, int((since.replace(tzinfo=timezone.utc).timestamp() - 5) * 1000),
|
|
params=_params)
|
|
matched_trades = [trade for trade in my_trades if trade['order'] == order_id]
|
|
|
|
self._log_exchange_response('get_trades_for_order', matched_trades)
|
|
return matched_trades
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not get trades due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
def get_order_id_conditional(self, order: Dict[str, Any]) -> str:
|
|
return order['id']
|
|
|
|
@retrier
|
|
def get_fee(self, symbol: str, type: str = '', side: str = '', amount: float = 1,
|
|
price: float = 1, taker_or_maker: str = 'maker') -> float:
|
|
try:
|
|
if self._config['dry_run'] and self._config.get('fee', None) is not None:
|
|
return self._config['fee']
|
|
# validate that markets are loaded before trying to get fee
|
|
if self._api.markets is None or len(self._api.markets) == 0:
|
|
self._api.load_markets()
|
|
|
|
return self._api.calculate_fee(symbol=symbol, type=type, side=side, amount=amount,
|
|
price=price, takerOrMaker=taker_or_maker)['rate']
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(
|
|
f'Could not get fee info due to {e.__class__.__name__}. Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(e) from e
|
|
|
|
@staticmethod
|
|
def order_has_fee(order: Dict) -> bool:
|
|
"""
|
|
Verifies if the passed in order dict has the needed keys to extract fees,
|
|
and that these keys (currency, cost) are not empty.
|
|
:param order: Order or trade (one trade) dict
|
|
:return: True if the fee substructure contains currency and cost, false otherwise
|
|
"""
|
|
if not isinstance(order, dict):
|
|
return False
|
|
return ('fee' in order and order['fee'] is not None
|
|
and (order['fee'].keys() >= {'currency', 'cost'})
|
|
and order['fee']['currency'] is not None
|
|
and order['fee']['cost'] is not None
|
|
)
|
|
|
|
def calculate_fee_rate(self, order: Dict) -> Optional[float]:
|
|
"""
|
|
Calculate fee rate if it's not given by the exchange.
|
|
:param order: Order or trade (one trade) dict
|
|
"""
|
|
if order['fee'].get('rate') is not None:
|
|
return order['fee'].get('rate')
|
|
fee_curr = order['fee']['currency']
|
|
# Calculate fee based on order details
|
|
if fee_curr in self.get_pair_base_currency(order['symbol']):
|
|
# Base currency - divide by amount
|
|
return round(
|
|
order['fee']['cost'] / safe_value_fallback2(order, order, 'filled', 'amount'), 8)
|
|
elif fee_curr in self.get_pair_quote_currency(order['symbol']):
|
|
# Quote currency - divide by cost
|
|
return round(order['fee']['cost'] / order['cost'], 8) if order['cost'] else None
|
|
else:
|
|
# If Fee currency is a different currency
|
|
if not order['cost']:
|
|
# If cost is None or 0.0 -> falsy, return None
|
|
return None
|
|
try:
|
|
comb = self.get_valid_pair_combination(fee_curr, self._config['stake_currency'])
|
|
tick = self.fetch_ticker(comb)
|
|
|
|
fee_to_quote_rate = safe_value_fallback2(tick, tick, 'last', 'ask')
|
|
except ExchangeError:
|
|
fee_to_quote_rate = self._config['exchange'].get('unknown_fee_rate', None)
|
|
if not fee_to_quote_rate:
|
|
return None
|
|
return round((order['fee']['cost'] * fee_to_quote_rate) / order['cost'], 8)
|
|
|
|
def extract_cost_curr_rate(self, order: Dict) -> Tuple[float, str, Optional[float]]:
|
|
"""
|
|
Extract tuple of cost, currency, rate.
|
|
Requires order_has_fee to run first!
|
|
:param order: Order or trade (one trade) dict
|
|
:return: Tuple with cost, currency, rate of the given fee dict
|
|
"""
|
|
return (order['fee']['cost'],
|
|
order['fee']['currency'],
|
|
self.calculate_fee_rate(order))
|
|
|
|
# Historic data
|
|
|
|
def get_historic_ohlcv(self, pair: str, timeframe: str,
|
|
since_ms: int, is_new_pair: bool = False) -> List:
|
|
"""
|
|
Get candle history using asyncio and returns the list of candles.
|
|
Handles all async work for this.
|
|
Async over one pair, assuming we get `self.ohlcv_candle_limit()` candles per call.
|
|
:param pair: Pair to download
|
|
:param timeframe: Timeframe to get data for
|
|
:param since_ms: Timestamp in milliseconds to get history from
|
|
:return: List with candle (OHLCV) data
|
|
"""
|
|
pair, timeframe, data = self.loop.run_until_complete(
|
|
self._async_get_historic_ohlcv(pair=pair, timeframe=timeframe,
|
|
since_ms=since_ms, is_new_pair=is_new_pair))
|
|
logger.info(f"Downloaded data for {pair} with length {len(data)}.")
|
|
return data
|
|
|
|
def get_historic_ohlcv_as_df(self, pair: str, timeframe: str,
|
|
since_ms: int) -> DataFrame:
|
|
"""
|
|
Minimal wrapper around get_historic_ohlcv - converting the result into a dataframe
|
|
:param pair: Pair to download
|
|
:param timeframe: Timeframe to get data for
|
|
:param since_ms: Timestamp in milliseconds to get history from
|
|
:return: OHLCV DataFrame
|
|
"""
|
|
ticks = self.get_historic_ohlcv(pair, timeframe, since_ms=since_ms)
|
|
return ohlcv_to_dataframe(ticks, timeframe, pair=pair, fill_missing=True,
|
|
drop_incomplete=self._ohlcv_partial_candle)
|
|
|
|
async def _async_get_historic_ohlcv(self, pair: str, timeframe: str,
|
|
since_ms: int, is_new_pair: bool = False,
|
|
raise_: bool = False
|
|
) -> Tuple[str, str, List]:
|
|
"""
|
|
Download historic ohlcv
|
|
:param is_new_pair: used by binance subclass to allow "fast" new pair downloading
|
|
"""
|
|
|
|
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
|
|
logger.debug(
|
|
"one_call: %s msecs (%s)",
|
|
one_call,
|
|
arrow.utcnow().shift(seconds=one_call // 1000).humanize(only_distance=True)
|
|
)
|
|
input_coroutines = [self._async_get_candle_history(
|
|
pair, timeframe, since) for since in
|
|
range(since_ms, arrow.utcnow().int_timestamp * 1000, one_call)]
|
|
|
|
data: List = []
|
|
# Chunk requests into batches of 100 to avoid overwelming ccxt Throttling
|
|
for input_coro in chunks(input_coroutines, 100):
|
|
|
|
results = await asyncio.gather(*input_coro, return_exceptions=True)
|
|
for res in results:
|
|
if isinstance(res, Exception):
|
|
logger.warning(f"Async code raised an exception: {repr(res)}")
|
|
if raise_:
|
|
raise
|
|
continue
|
|
else:
|
|
# Deconstruct tuple if it's not an exception
|
|
p, _, new_data = res
|
|
if p == pair:
|
|
data.extend(new_data)
|
|
# Sort data again after extending the result - above calls return in "async order"
|
|
data = sorted(data, key=lambda x: x[0])
|
|
return pair, timeframe, data
|
|
|
|
def refresh_latest_ohlcv(self, pair_list: ListPairsWithTimeframes, *,
|
|
since_ms: Optional[int] = None, cache: bool = True
|
|
) -> Dict[Tuple[str, str], DataFrame]:
|
|
"""
|
|
Refresh in-memory OHLCV asynchronously and set `_klines` with the result
|
|
Loops asynchronously over pair_list and downloads all pairs async (semi-parallel).
|
|
Only used in the dataprovider.refresh() method.
|
|
:param pair_list: List of 2 element tuples containing pair, interval to refresh
|
|
:param since_ms: time since when to download, in milliseconds
|
|
:param cache: Assign result to _klines. Usefull for one-off downloads like for pairlists
|
|
:return: Dict of [{(pair, timeframe): Dataframe}]
|
|
"""
|
|
logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
|
|
|
|
input_coroutines = []
|
|
cached_pairs = []
|
|
# Gather coroutines to run
|
|
for pair, timeframe in set(pair_list):
|
|
if ((pair, timeframe) not in self._klines or not cache
|
|
or self._now_is_time_to_refresh(pair, timeframe)):
|
|
if not since_ms and self.required_candle_call_count > 1:
|
|
# Multiple calls for one pair - to get more history
|
|
one_call = timeframe_to_msecs(timeframe) * self.ohlcv_candle_limit(timeframe)
|
|
move_to = one_call * self.required_candle_call_count
|
|
now = timeframe_to_next_date(timeframe)
|
|
since_ms = int((now - timedelta(seconds=move_to // 1000)).timestamp() * 1000)
|
|
|
|
if since_ms:
|
|
input_coroutines.append(self._async_get_historic_ohlcv(
|
|
pair, timeframe, since_ms=since_ms, raise_=True))
|
|
else:
|
|
# One call ... "regular" refresh
|
|
input_coroutines.append(self._async_get_candle_history(
|
|
pair, timeframe, since_ms=since_ms))
|
|
else:
|
|
logger.debug(
|
|
"Using cached candle (OHLCV) data for pair %s, timeframe %s ...",
|
|
pair, timeframe
|
|
)
|
|
cached_pairs.append((pair, timeframe))
|
|
|
|
results_df = {}
|
|
# Chunk requests into batches of 100 to avoid overwelming ccxt Throttling
|
|
for input_coro in chunks(input_coroutines, 100):
|
|
async def gather_stuff():
|
|
return await asyncio.gather(*input_coro, return_exceptions=True)
|
|
|
|
results = self.loop.run_until_complete(gather_stuff())
|
|
|
|
# handle caching
|
|
for res in results:
|
|
if isinstance(res, Exception):
|
|
logger.warning(f"Async code raised an exception: {repr(res)}")
|
|
continue
|
|
# Deconstruct tuple (has 3 elements)
|
|
pair, timeframe, ticks = res
|
|
# keeping last candle time as last refreshed time of the pair
|
|
if ticks:
|
|
self._pairs_last_refresh_time[(pair, timeframe)] = ticks[-1][0] // 1000
|
|
# keeping parsed dataframe in cache
|
|
ohlcv_df = ohlcv_to_dataframe(
|
|
ticks, timeframe, pair=pair, fill_missing=True,
|
|
drop_incomplete=self._ohlcv_partial_candle)
|
|
results_df[(pair, timeframe)] = ohlcv_df
|
|
if cache:
|
|
self._klines[(pair, timeframe)] = ohlcv_df
|
|
|
|
# Return cached klines
|
|
for pair, timeframe in cached_pairs:
|
|
results_df[(pair, timeframe)] = self.klines((pair, timeframe), copy=False)
|
|
|
|
return results_df
|
|
|
|
def _now_is_time_to_refresh(self, pair: str, timeframe: str) -> bool:
|
|
# Timeframe in seconds
|
|
interval_in_sec = timeframe_to_seconds(timeframe)
|
|
|
|
return not ((self._pairs_last_refresh_time.get((pair, timeframe), 0)
|
|
+ interval_in_sec) >= arrow.utcnow().int_timestamp)
|
|
|
|
@retrier_async
|
|
async def _async_get_candle_history(self, pair: str, timeframe: str,
|
|
since_ms: Optional[int] = None) -> Tuple[str, str, List]:
|
|
"""
|
|
Asynchronously get candle history data using fetch_ohlcv
|
|
returns tuple: (pair, timeframe, ohlcv_list)
|
|
"""
|
|
try:
|
|
# Fetch OHLCV asynchronously
|
|
s = '(' + arrow.get(since_ms // 1000).isoformat() + ') ' if since_ms is not None else ''
|
|
logger.debug(
|
|
"Fetching pair %s, interval %s, since %s %s...",
|
|
pair, timeframe, since_ms, s
|
|
)
|
|
params = self._ft_has.get('ohlcv_params', {})
|
|
data = await self._api_async.fetch_ohlcv(pair, timeframe=timeframe,
|
|
since=since_ms,
|
|
limit=self.ohlcv_candle_limit(timeframe),
|
|
params=params)
|
|
|
|
# Some exchanges sort OHLCV in ASC order and others in DESC.
|
|
# Ex: Bittrex returns the list of OHLCV in ASC order (oldest first, newest last)
|
|
# while GDAX returns the list of OHLCV in DESC order (newest first, oldest last)
|
|
# Only sort if necessary to save computing time
|
|
try:
|
|
if data and data[0][0] > data[-1][0]:
|
|
data = sorted(data, key=lambda x: x[0])
|
|
except IndexError:
|
|
logger.exception("Error loading %s. Result was %s.", pair, data)
|
|
return pair, timeframe, []
|
|
logger.debug("Done fetching pair %s, interval %s ...", pair, timeframe)
|
|
return pair, timeframe, data
|
|
|
|
except ccxt.NotSupported as e:
|
|
raise OperationalException(
|
|
f'Exchange {self._api.name} does not support fetching historical '
|
|
f'candle (OHLCV) data. Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(f'Could not fetch historical candle (OHLCV) data '
|
|
f'for pair {pair} due to {e.__class__.__name__}. '
|
|
f'Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(f'Could not fetch historical candle (OHLCV) data '
|
|
f'for pair {pair}. Message: {e}') from e
|
|
|
|
# Fetch historic trades
|
|
|
|
@retrier_async
|
|
async def _async_fetch_trades(self, pair: str,
|
|
since: Optional[int] = None,
|
|
params: Optional[dict] = None) -> List[List]:
|
|
"""
|
|
Asyncronously gets trade history using fetch_trades.
|
|
Handles exchange errors, does one call to the exchange.
|
|
:param pair: Pair to fetch trade data for
|
|
:param since: Since as integer timestamp in milliseconds
|
|
returns: List of dicts containing trades
|
|
"""
|
|
try:
|
|
# fetch trades asynchronously
|
|
if params:
|
|
logger.debug("Fetching trades for pair %s, params: %s ", pair, params)
|
|
trades = await self._api_async.fetch_trades(pair, params=params, limit=1000)
|
|
else:
|
|
logger.debug(
|
|
"Fetching trades for pair %s, since %s %s...",
|
|
pair, since,
|
|
'(' + arrow.get(since // 1000).isoformat() + ') ' if since is not None else ''
|
|
)
|
|
trades = await self._api_async.fetch_trades(pair, since=since, limit=1000)
|
|
return trades_dict_to_list(trades)
|
|
except ccxt.NotSupported as e:
|
|
raise OperationalException(
|
|
f'Exchange {self._api.name} does not support fetching historical trade data.'
|
|
f'Message: {e}') from e
|
|
except ccxt.DDoSProtection as e:
|
|
raise DDosProtection(e) from e
|
|
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
|
|
raise TemporaryError(f'Could not load trade history due to {e.__class__.__name__}. '
|
|
f'Message: {e}') from e
|
|
except ccxt.BaseError as e:
|
|
raise OperationalException(f'Could not fetch trade data. Msg: {e}') from e
|
|
|
|
async def _async_get_trade_history_id(self, pair: str,
|
|
until: int,
|
|
since: Optional[int] = None,
|
|
from_id: Optional[str] = None) -> Tuple[str, List[List]]:
|
|
"""
|
|
Asyncronously gets trade history using fetch_trades
|
|
use this when exchange uses id-based iteration (check `self._trades_pagination`)
|
|
:param pair: Pair to fetch trade data for
|
|
:param since: Since as integer timestamp in milliseconds
|
|
:param until: Until as integer timestamp in milliseconds
|
|
:param from_id: Download data starting with ID (if id is known). Ignores "since" if set.
|
|
returns tuple: (pair, trades-list)
|
|
"""
|
|
|
|
trades: List[List] = []
|
|
|
|
if not from_id:
|
|
# Fetch first elements using timebased method to get an ID to paginate on
|
|
# Depending on the Exchange, this can introduce a drift at the start of the interval
|
|
# of up to an hour.
|
|
# e.g. Binance returns the "last 1000" candles within a 1h time interval
|
|
# - so we will miss the first trades.
|
|
t = await self._async_fetch_trades(pair, since=since)
|
|
# DEFAULT_TRADES_COLUMNS: 0 -> timestamp
|
|
# DEFAULT_TRADES_COLUMNS: 1 -> id
|
|
from_id = t[-1][1]
|
|
trades.extend(t[:-1])
|
|
while True:
|
|
t = await self._async_fetch_trades(pair,
|
|
params={self._trades_pagination_arg: from_id})
|
|
if t:
|
|
# Skip last id since its the key for the next call
|
|
trades.extend(t[:-1])
|
|
if from_id == t[-1][1] or t[-1][0] > until:
|
|
logger.debug(f"Stopping because from_id did not change. "
|
|
f"Reached {t[-1][0]} > {until}")
|
|
# Reached the end of the defined-download period - add last trade as well.
|
|
trades.extend(t[-1:])
|
|
break
|
|
|
|
from_id = t[-1][1]
|
|
else:
|
|
break
|
|
|
|
return (pair, trades)
|
|
|
|
async def _async_get_trade_history_time(self, pair: str, until: int,
|
|
since: Optional[int] = None) -> Tuple[str, List[List]]:
|
|
"""
|
|
Asyncronously gets trade history using fetch_trades,
|
|
when the exchange uses time-based iteration (check `self._trades_pagination`)
|
|
:param pair: Pair to fetch trade data for
|
|
:param since: Since as integer timestamp in milliseconds
|
|
:param until: Until as integer timestamp in milliseconds
|
|
returns tuple: (pair, trades-list)
|
|
"""
|
|
|
|
trades: List[List] = []
|
|
# DEFAULT_TRADES_COLUMNS: 0 -> timestamp
|
|
# DEFAULT_TRADES_COLUMNS: 1 -> id
|
|
while True:
|
|
t = await self._async_fetch_trades(pair, since=since)
|
|
if t:
|
|
since = t[-1][0]
|
|
trades.extend(t)
|
|
# Reached the end of the defined-download period
|
|
if until and t[-1][0] > until:
|
|
logger.debug(
|
|
f"Stopping because until was reached. {t[-1][0]} > {until}")
|
|
break
|
|
else:
|
|
break
|
|
|
|
return (pair, trades)
|
|
|
|
async def _async_get_trade_history(self, pair: str,
|
|
since: Optional[int] = None,
|
|
until: Optional[int] = None,
|
|
from_id: Optional[str] = None) -> Tuple[str, List[List]]:
|
|
"""
|
|
Async wrapper handling downloading trades using either time or id based methods.
|
|
"""
|
|
|
|
logger.debug(f"_async_get_trade_history(), pair: {pair}, "
|
|
f"since: {since}, until: {until}, from_id: {from_id}")
|
|
|
|
if until is None:
|
|
until = ccxt.Exchange.milliseconds()
|
|
logger.debug(f"Exchange milliseconds: {until}")
|
|
|
|
if self._trades_pagination == 'time':
|
|
return await self._async_get_trade_history_time(
|
|
pair=pair, since=since, until=until)
|
|
elif self._trades_pagination == 'id':
|
|
return await self._async_get_trade_history_id(
|
|
pair=pair, since=since, until=until, from_id=from_id
|
|
)
|
|
else:
|
|
raise OperationalException(f"Exchange {self.name} does use neither time, "
|
|
f"nor id based pagination")
|
|
|
|
def get_historic_trades(self, pair: str,
|
|
since: Optional[int] = None,
|
|
until: Optional[int] = None,
|
|
from_id: Optional[str] = None) -> Tuple[str, List]:
|
|
"""
|
|
Get trade history data using asyncio.
|
|
Handles all async work and returns the list of candles.
|
|
Async over one pair, assuming we get `self.ohlcv_candle_limit()` candles per call.
|
|
:param pair: Pair to download
|
|
:param since: Timestamp in milliseconds to get history from
|
|
:param until: Timestamp in milliseconds. Defaults to current timestamp if not defined.
|
|
:param from_id: Download data starting with ID (if id is known)
|
|
:returns List of trade data
|
|
"""
|
|
if not self.exchange_has("fetchTrades"):
|
|
raise OperationalException("This exchange does not support downloading Trades.")
|
|
|
|
return self.loop.run_until_complete(
|
|
self._async_get_trade_history(pair=pair, since=since,
|
|
until=until, from_id=from_id))
|
|
|
|
|
|
def is_exchange_known_ccxt(exchange_name: str, ccxt_module: CcxtModuleType = None) -> bool:
|
|
return exchange_name in ccxt_exchanges(ccxt_module)
|
|
|
|
|
|
def is_exchange_officially_supported(exchange_name: str) -> bool:
|
|
return exchange_name in ['bittrex', 'binance', 'kraken', 'ftx', 'gateio', 'okex']
|
|
|
|
|
|
def ccxt_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
|
|
"""
|
|
Return the list of all exchanges known to ccxt
|
|
"""
|
|
return ccxt_module.exchanges if ccxt_module is not None else ccxt.exchanges
|
|
|
|
|
|
def available_exchanges(ccxt_module: CcxtModuleType = None) -> List[str]:
|
|
"""
|
|
Return exchanges available to the bot, i.e. non-bad exchanges in the ccxt list
|
|
"""
|
|
exchanges = ccxt_exchanges(ccxt_module)
|
|
return [x for x in exchanges if validate_exchange(x)[0]]
|
|
|
|
|
|
def validate_exchange(exchange: str) -> Tuple[bool, str]:
|
|
ex_mod = getattr(ccxt, exchange.lower())()
|
|
if not ex_mod or not ex_mod.has:
|
|
return False, ''
|
|
missing = [k for k in EXCHANGE_HAS_REQUIRED if ex_mod.has.get(k) is not True]
|
|
if missing:
|
|
return False, f"missing: {', '.join(missing)}"
|
|
|
|
missing_opt = [k for k in EXCHANGE_HAS_OPTIONAL if not ex_mod.has.get(k)]
|
|
|
|
if exchange.lower() in BAD_EXCHANGES:
|
|
return False, BAD_EXCHANGES.get(exchange.lower(), '')
|
|
if missing_opt:
|
|
return True, f"missing opt: {', '.join(missing_opt)}"
|
|
|
|
return True, ''
|
|
|
|
|
|
def validate_exchanges(all_exchanges: bool) -> List[Tuple[str, bool, str]]:
|
|
"""
|
|
:return: List of tuples with exchangename, valid, reason.
|
|
"""
|
|
exchanges = ccxt_exchanges() if all_exchanges else available_exchanges()
|
|
exchanges_valid = [
|
|
(e, *validate_exchange(e)) for e in exchanges
|
|
]
|
|
return exchanges_valid
|
|
|
|
|
|
def timeframe_to_seconds(timeframe: str) -> int:
|
|
"""
|
|
Translates the timeframe interval value written in the human readable
|
|
form ('1m', '5m', '1h', '1d', '1w', etc.) to the number
|
|
of seconds for one timeframe interval.
|
|
"""
|
|
return ccxt.Exchange.parse_timeframe(timeframe)
|
|
|
|
|
|
def timeframe_to_minutes(timeframe: str) -> int:
|
|
"""
|
|
Same as timeframe_to_seconds, but returns minutes.
|
|
"""
|
|
return ccxt.Exchange.parse_timeframe(timeframe) // 60
|
|
|
|
|
|
def timeframe_to_msecs(timeframe: str) -> int:
|
|
"""
|
|
Same as timeframe_to_seconds, but returns milliseconds.
|
|
"""
|
|
return ccxt.Exchange.parse_timeframe(timeframe) * 1000
|
|
|
|
|
|
def timeframe_to_prev_date(timeframe: str, date: datetime = None) -> datetime:
|
|
"""
|
|
Use Timeframe and determine last possible candle.
|
|
:param timeframe: timeframe in string format (e.g. "5m")
|
|
:param date: date to use. Defaults to utcnow()
|
|
:returns: date of previous candle (with utc timezone)
|
|
"""
|
|
if not date:
|
|
date = datetime.now(timezone.utc)
|
|
|
|
new_timestamp = ccxt.Exchange.round_timeframe(timeframe, date.timestamp() * 1000,
|
|
ROUND_DOWN) // 1000
|
|
return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
|
|
|
|
|
|
def timeframe_to_next_date(timeframe: str, date: datetime = None) -> datetime:
|
|
"""
|
|
Use Timeframe and determine next candle.
|
|
:param timeframe: timeframe in string format (e.g. "5m")
|
|
:param date: date to use. Defaults to utcnow()
|
|
:returns: date of next candle (with utc timezone)
|
|
"""
|
|
if not date:
|
|
date = datetime.now(timezone.utc)
|
|
new_timestamp = ccxt.Exchange.round_timeframe(timeframe, date.timestamp() * 1000,
|
|
ROUND_UP) // 1000
|
|
return datetime.fromtimestamp(new_timestamp, tz=timezone.utc)
|
|
|
|
|
|
def market_is_active(market: Dict) -> bool:
|
|
"""
|
|
Return True if the market is active.
|
|
"""
|
|
# "It's active, if the active flag isn't explicitly set to false. If it's missing or
|
|
# true then it's true. If it's undefined, then it's most likely true, but not 100% )"
|
|
# See https://github.com/ccxt/ccxt/issues/4874,
|
|
# https://github.com/ccxt/ccxt/issues/4075#issuecomment-434760520
|
|
return market.get('active', True) is not False
|