Merge branch 'feat/short' into lev-exchange
This commit is contained in:
@@ -15,6 +15,7 @@ from freqtrade.exchange.exchange import (available_exchanges, ccxt_exchanges,
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timeframe_to_seconds, validate_exchange,
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validate_exchanges)
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from freqtrade.exchange.ftx import Ftx
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from freqtrade.exchange.gateio import Gateio
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from freqtrade.exchange.hitbtc import Hitbtc
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from freqtrade.exchange.kraken import Kraken
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from freqtrade.exchange.kucoin import Kucoin
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@@ -19,7 +19,8 @@ from ccxt.base.decimal_to_precision import (ROUND_DOWN, ROUND_UP, TICK_SIZE, TRU
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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, ListPairsWithTimeframes
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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.enums import Collateral
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from freqtrade.exceptions import (DDosProtection, ExchangeError, InsufficientFundsError,
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@@ -366,9 +367,16 @@ class Exchange:
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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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@@ -646,6 +654,8 @@ class Exchange:
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if self.exchange_has('fetchL2OrderBook'):
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ob = self.fetch_l2_order_book(pair, 20)
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ob_type = 'asks' if side == 'buy' else 'bids'
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slippage = 0.05
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max_slippage_val = rate * ((1 + slippage) if side == 'buy' else (1 - slippage))
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remaining_amount = amount
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filled_amount = 0
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@@ -654,7 +664,9 @@ class Exchange:
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book_entry_coin_volume = book_entry[1]
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if remaining_amount > 0:
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if remaining_amount < book_entry_coin_volume:
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# Orderbook at this slot bigger than remaining amount
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filled_amount += remaining_amount * book_entry_price
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break
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else:
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filled_amount += book_entry_coin_volume * book_entry_price
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remaining_amount -= book_entry_coin_volume
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@@ -663,7 +675,14 @@ class Exchange:
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else:
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# If remaining_amount wasn't consumed completely (break was not called)
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filled_amount += remaining_amount * book_entry_price
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forecast_avg_filled_price = filled_amount / amount
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forecast_avg_filled_price = max(filled_amount, 0) / amount
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# Limit max. slippage to specified value
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if side == 'buy':
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forecast_avg_filled_price = min(forecast_avg_filled_price, max_slippage_val)
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else:
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forecast_avg_filled_price = max(forecast_avg_filled_price, max_slippage_val)
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return self.price_to_precision(pair, forecast_avg_filled_price)
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return rate
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@@ -822,7 +841,7 @@ class Exchange:
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:param order: Order dict as returned from fetch_order()
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:return: True if order has been cancelled without being filled, False otherwise.
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"""
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return (order.get('status') in ('closed', 'canceled', 'cancelled')
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return (order.get('status') in NON_OPEN_EXCHANGE_STATES
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and order.get('filled') == 0.0)
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@retrier
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@@ -1056,7 +1075,7 @@ class Exchange:
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logger.debug(f"Using Last {conf_strategy['price_side'].capitalize()} / Last Price")
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ticker = self.fetch_ticker(pair)
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ticker_rate = ticker[conf_strategy['price_side']]
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if ticker['last']:
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if ticker['last'] and ticker_rate:
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if side == 'buy' and ticker_rate > ticker['last']:
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balance = conf_strategy['ask_last_balance']
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ticker_rate = ticker_rate + balance * (ticker['last'] - ticker_rate)
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@@ -1271,7 +1290,7 @@ class Exchange:
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logger.debug("Refreshing candle (OHLCV) data for %d pairs", len(pair_list))
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input_coroutines = []
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cached_pairs = []
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# Gather coroutines to run
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for pair, timeframe in set(pair_list):
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if (((pair, timeframe) not in self._klines)
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@@ -1283,6 +1302,7 @@ class Exchange:
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"Using cached candle (OHLCV) data for pair %s, timeframe %s ...",
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pair, timeframe
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)
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cached_pairs.append((pair, timeframe))
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results = asyncio.get_event_loop().run_until_complete(
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asyncio.gather(*input_coroutines, return_exceptions=True))
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@@ -1305,6 +1325,10 @@ class Exchange:
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results_df[(pair, timeframe)] = ohlcv_df
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if cache:
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self._klines[(pair, timeframe)] = ohlcv_df
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# Return cached klines
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for pair, timeframe in cached_pairs:
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results_df[(pair, timeframe)] = self.klines((pair, timeframe), copy=False)
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return results_df
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def _now_is_time_to_refresh(self, pair: str, timeframe: str) -> bool:
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23
freqtrade/exchange/gateio.py
Normal file
23
freqtrade/exchange/gateio.py
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@@ -0,0 +1,23 @@
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""" Gate.io exchange subclass """
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import logging
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from typing import Dict
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from freqtrade.exchange import Exchange
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logger = logging.getLogger(__name__)
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class Gateio(Exchange):
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"""
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Gate.io exchange class. Contains adjustments needed for Freqtrade to work
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with this exchange.
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Please note that this exchange is not included in the list of exchanges
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officially supported by the Freqtrade development team. So some features
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may still not work as expected.
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"""
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_ft_has: Dict = {
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"ohlcv_candle_limit": 1000,
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}
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