Move get_buy_rate to exchange class
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@@ -22,8 +22,8 @@ from pandas import DataFrame
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from freqtrade.constants import DEFAULT_AMOUNT_RESERVE_PERCENT, 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, RetryableOrderError,
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TemporaryError)
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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, retrier,
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retrier_async)
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@@ -88,6 +88,7 @@ class Exchange:
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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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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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@@ -911,6 +912,52 @@ class Exchange:
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except ccxt.BaseError as e:
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raise OperationalException(e) from e
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def get_buy_rate(self, pair: str, refresh: bool) -> float:
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"""
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Calculates bid target between current ask price and last price
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:param pair: Pair to get rate for
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:param refresh: allow cached data
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:return: float: Price
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:raises PricingError if orderbook price could not be determined.
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"""
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if not refresh:
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rate = self._buy_rate_cache.get(pair)
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# Check if cache has been invalidated
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if rate:
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logger.debug(f"Using cached buy rate for {pair}.")
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return rate
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bid_strategy = self._config.get('bid_strategy', {})
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if 'use_order_book' in bid_strategy and bid_strategy.get('use_order_book', False):
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order_book_top = bid_strategy.get('order_book_top', 1)
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order_book = self.fetch_l2_order_book(pair, order_book_top)
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logger.debug('order_book %s', order_book)
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# top 1 = index 0
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try:
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rate_from_l2 = order_book[f"{bid_strategy['price_side']}s"][order_book_top - 1][0]
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except (IndexError, KeyError) as e:
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logger.warning(
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"Buy Price from orderbook could not be determined."
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f"Orderbook: {order_book}"
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)
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raise PricingError from e
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logger.info(f"Buy price from orderbook {bid_strategy['price_side'].capitalize()} side "
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f"- top {order_book_top} order book buy rate {rate_from_l2:.8f}")
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used_rate = rate_from_l2
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else:
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logger.info(f"Using Last {bid_strategy['price_side'].capitalize()} / Last Price")
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ticker = self.fetch_ticker(pair)
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ticker_rate = ticker[bid_strategy['price_side']]
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if ticker['last'] and ticker_rate > ticker['last']:
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balance = bid_strategy['ask_last_balance']
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ticker_rate = ticker_rate + balance * (ticker['last'] - ticker_rate)
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used_rate = ticker_rate
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self._buy_rate_cache[pair] = used_rate
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return used_rate
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# Fee handling
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@retrier
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