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Merge branch 'develop' into drylimit

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மனோஜ்குமார் பழனிச்சாமி
2022-04-03 17:52:11 +05:30
committed by GitHub
parent 177ebb743b d054916439
commit d038a1865b
174 changed files with 33065 additions and 4522 deletions
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7
freqtrade/exchange/bibox.py
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@@ -20,4 +20,9 @@ class Bibox(Exchange):
# fetchCurrencies API point requires authentication for Bibox,
# so switch it off for Freqtrade load_markets()
_ccxt_config: Dict = {"has": {"fetchCurrencies": False}}
@property
def _ccxt_config(self) -> Dict:
# Parameters to add directly to ccxt sync/async initialization.
config = {"has": {"fetchCurrencies": False}}
config.update(super()._ccxt_config)
return config

179
freqtrade/exchange/binance.py
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@@ -1,10 +1,18 @@
""" Binance exchange subclass """
import json
import logging
from typing import Dict, List, Tuple
from datetime import datetime
from pathlib import Path
from typing import Dict, List, Optional, Tuple
import arrow
import ccxt
from freqtrade.enums import CandleType, MarginMode, TradingMode
from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
from freqtrade.misc import deep_merge_dicts
logger = logging.getLogger(__name__)
@@ -21,30 +29,179 @@ class Binance(Exchange):
"trades_pagination": "id",
"trades_pagination_arg": "fromId",
"l2_limit_range": [5, 10, 20, 50, 100, 500, 1000],
"ccxt_futures_name": "future"
}
_ft_has_futures: Dict = {
"stoploss_order_types": {"limit": "stop"},
"tickers_have_price": False,
}
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.MARGIN, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.CROSS),
(TradingMode.FUTURES, MarginMode.ISOLATED)
]
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.
:param side: "buy" or "sell"
"""
return order['type'] == 'stop_loss_limit' and stop_loss > float(order['info']['stopPrice'])
ordertype = 'stop' if self.trading_mode == TradingMode.FUTURES else 'stop_loss_limit'
return order['type'] == ordertype and (
(side == "sell" and stop_loss > float(order['info']['stopPrice'])) or
(side == "buy" and stop_loss < float(order['info']['stopPrice']))
)
def get_tickers(self, symbols: List[str] = None, cached: bool = False) -> Dict:
tickers = super().get_tickers(symbols=symbols, cached=cached)
if self.trading_mode == TradingMode.FUTURES:
# Binance's future result has no bid/ask values.
# Therefore we must fetch that from fetch_bids_asks and combine the two results.
bidsasks = self.fetch_bids_asks(symbols, cached)
tickers = deep_merge_dicts(bidsasks, tickers, allow_null_overrides=False)
return tickers
@retrier
def _set_leverage(
self,
leverage: float,
pair: Optional[str] = None,
trading_mode: Optional[TradingMode] = None
):
"""
Set's the leverage before making a trade, in order to not
have the same leverage on every trade
"""
trading_mode = trading_mode or self.trading_mode
if self._config['dry_run'] or trading_mode != TradingMode.FUTURES:
return
try:
self._api.set_leverage(symbol=pair, leverage=round(leverage))
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not set leverage due to {e.__class__.__name__}. Message: {e}') from e
except ccxt.BaseError as e:
raise OperationalException(e) from e
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]:
since_ms: int, candle_type: CandleType,
is_new_pair: bool = False, raise_: bool = False,
) -> Tuple[str, str, str, List]:
"""
Overwrite to introduce "fast new pair" functionality by detecting the pair's listing date
Does not work for other exchanges, which don't return the earliest data when called with "0"
:param candle_type: Any of the enum CandleType (must match trading mode!)
"""
if is_new_pair:
x = await self._async_get_candle_history(pair, timeframe, 0)
if x and x[2] and x[2][0] and x[2][0][0] > since_ms:
x = await self._async_get_candle_history(pair, timeframe, candle_type, 0)
if x and x[3] and x[3][0] and x[3][0][0] > since_ms:
# Set starting date to first available candle.
since_ms = x[2][0][0]
since_ms = x[3][0][0]
logger.info(f"Candle-data for {pair} available starting with "
f"{arrow.get(since_ms // 1000).isoformat()}.")
return await super()._async_get_historic_ohlcv(
pair=pair, timeframe=timeframe, since_ms=since_ms, is_new_pair=is_new_pair,
raise_=raise_)
pair=pair,
timeframe=timeframe,
since_ms=since_ms,
is_new_pair=is_new_pair,
raise_=raise_,
candle_type=candle_type
)
def funding_fee_cutoff(self, open_date: datetime):
"""
:param open_date: The open date for a trade
:return: The cutoff open time for when a funding fee is charged
"""
return open_date.minute > 0 or (open_date.minute == 0 and open_date.second > 15)
def dry_run_liquidation_price(
self,
pair: str,
open_rate: float, # Entry price of position
is_short: bool,
position: float, # Absolute value of position size
wallet_balance: float, # Or margin balance
mm_ex_1: float = 0.0, # (Binance) Cross only
upnl_ex_1: float = 0.0, # (Binance) Cross only
) -> Optional[float]:
"""
MARGIN: https://www.binance.com/en/support/faq/f6b010588e55413aa58b7d63ee0125ed
PERPETUAL: https://www.binance.com/en/support/faq/b3c689c1f50a44cabb3a84e663b81d93
:param exchange_name:
:param open_rate: (EP1) Entry price of position
:param is_short: True if the trade is a short, false otherwise
:param position: Absolute value of position size (in base currency)
:param wallet_balance: (WB)
Cross-Margin Mode: crossWalletBalance
Isolated-Margin Mode: isolatedWalletBalance
:param maintenance_amt:
# * Only required for Cross
:param mm_ex_1: (TMM)
Cross-Margin Mode: Maintenance Margin of all other contracts, excluding Contract 1
Isolated-Margin Mode: 0
:param upnl_ex_1: (UPNL)
Cross-Margin Mode: Unrealized PNL of all other contracts, excluding Contract 1.
Isolated-Margin Mode: 0
"""
side_1 = -1 if is_short else 1
position = abs(position)
cross_vars = upnl_ex_1 - mm_ex_1 if self.margin_mode == MarginMode.CROSS else 0.0
# mm_ratio: Binance's formula specifies maintenance margin rate which is mm_ratio * 100%
# maintenance_amt: (CUM) Maintenance Amount of position
mm_ratio, maintenance_amt = self.get_maintenance_ratio_and_amt(pair, position)
if (maintenance_amt is None):
raise OperationalException(
"Parameter maintenance_amt is required by Binance.liquidation_price"
f"for {self.trading_mode.value}"
)
if self.trading_mode == TradingMode.FUTURES:
return (
(
(wallet_balance + cross_vars + maintenance_amt) -
(side_1 * position * open_rate)
) / (
(position * mm_ratio) - (side_1 * position)
)
)
else:
raise OperationalException(
"Freqtrade only supports isolated futures for leverage trading")
@retrier
def load_leverage_tiers(self) -> Dict[str, List[Dict]]:
if self.trading_mode == TradingMode.FUTURES:
if self._config['dry_run']:
leverage_tiers_path = (
Path(__file__).parent / 'binance_leverage_tiers.json'
)
with open(leverage_tiers_path) as json_file:
return json.load(json_file)
else:
try:
return self._api.fetch_leverage_tiers()
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(f'Could not fetch leverage amounts due to'
f'{e.__class__.__name__}. Message: {e}') from e
except ccxt.BaseError as e:
raise OperationalException(e) from e
else:
return {}

16481
freqtrade/exchange/binance_leverage_tiers.json Normal file
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10
freqtrade/exchange/bybit.py
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@@ -1,7 +1,8 @@
""" Bybit exchange subclass """
import logging
from typing import Dict
from typing import Dict, List, Tuple
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exchange import Exchange
@@ -20,4 +21,11 @@ class Bybit(Exchange):
_ft_has: Dict = {
"ohlcv_candle_limit": 200,
"ccxt_futures_name": "linear"
}
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.FUTURES, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.ISOLATED)
]

19
freqtrade/exchange/common.py
View File

@@ -35,9 +35,19 @@ BAD_EXCHANGES = {
MAP_EXCHANGE_CHILDCLASS = {
'binanceus': 'binance',
'binanceje': 'binance',
'binanceusdm': 'binance',
'okex': 'okx',
}
SUPPORTED_EXCHANGES = [
'binance',
'bittrex',
'ftx',
'gateio',
'huobi',
'kraken',
'okx',
]
EXCHANGE_HAS_REQUIRED = [
# Required / private
@@ -55,10 +65,17 @@ EXCHANGE_HAS_REQUIRED = [
EXCHANGE_HAS_OPTIONAL = [
# Private
'fetchMyTrades', # Trades for order - fee detection
# 'setLeverage', # Margin/Futures trading
# 'setMarginMode', # Margin/Futures trading
# 'fetchFundingHistory', # Futures trading
# Public
'fetchOrderBook', 'fetchL2OrderBook', 'fetchTicker', # OR for pricing
'fetchTickers', # For volumepairlist?
'fetchTrades', # Downloading trades data
# 'fetchFundingRateHistory', # Futures trading
# 'fetchPositions', # Futures trading
# 'fetchLeverageTiers', # Futures initialization
# 'fetchMarketLeverageTiers', # Futures initialization
]
@@ -85,7 +102,7 @@ def calculate_backoff(retrycount, max_retries):
def retrier_async(f):
async def wrapper(*args, **kwargs):
count = kwargs.pop('count', API_RETRY_COUNT)
kucoin = args[0].name == "Kucoin" # Check if the exchange is KuCoin.
kucoin = args[0].name == "KuCoin" # Check if the exchange is KuCoin.
try:
return await f(*args, **kwargs)
except TemporaryError as ex:

1197
freqtrade/exchange/exchange.py
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File diff suppressed because it is too large Load Diff

47
freqtrade/exchange/ftx.py
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@@ -1,9 +1,10 @@
""" FTX exchange subclass """
import logging
from typing import Any, Dict
from typing import Any, Dict, List, Tuple
import ccxt
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exceptions import (DDosProtection, InsufficientFundsError, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exchange import Exchange
@@ -20,27 +21,29 @@ class Ftx(Exchange):
"stoploss_on_exchange": True,
"ohlcv_candle_limit": 1500,
"ohlcv_volume_currency": "quote",
"mark_ohlcv_price": "index",
"mark_ohlcv_timeframe": "1h",
}
def market_is_tradable(self, market: Dict[str, Any]) -> bool:
"""
Check if the market symbol is tradable by Freqtrade.
Default checks + check if pair is spot pair (no futures trading yet).
"""
parent_check = super().market_is_tradable(market)
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.MARGIN, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.CROSS)
]
return (parent_check and
market.get('spot', False) is True)
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.
"""
return order['type'] == 'stop' and stop_loss > float(order['price'])
return order['type'] == 'stop' and (
side == "sell" and stop_loss > float(order['price']) or
side == "buy" and stop_loss < float(order['price'])
)
@retrier(retries=0)
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
def stoploss(self, pair: str, amount: float, stop_price: float,
order_types: Dict, side: str, leverage: float) -> Dict:
"""
Creates a stoploss order.
depending on order_types.stoploss configuration, uses 'market' or limit order.
@@ -48,7 +51,10 @@ class Ftx(Exchange):
Limit orders are defined by having orderPrice set, otherwise a market order is used.
"""
limit_price_pct = order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
limit_rate = stop_price * limit_price_pct
if side == "sell":
limit_rate = stop_price * limit_price_pct
else:
limit_rate = stop_price * (2 - limit_price_pct)
ordertype = "stop"
@@ -56,7 +62,7 @@ class Ftx(Exchange):
if self._config['dry_run']:
dry_order = self.create_dry_run_order(
pair, ordertype, "sell", amount, stop_price, stop_loss=True)
pair, ordertype, side, amount, stop_price, leverage, stop_loss=True)
return dry_order
try:
@@ -64,11 +70,14 @@ class Ftx(Exchange):
if order_types.get('stoploss', 'market') == 'limit':
# set orderPrice to place limit order, otherwise it's a market order
params['orderPrice'] = limit_rate
if self.trading_mode == TradingMode.FUTURES:
params.update({'reduceOnly': True})
params['stopPrice'] = stop_price
amount = self.amount_to_precision(pair, amount)
order = self._api.create_order(symbol=pair, type=ordertype, side='sell',
self._lev_prep(pair, leverage, side)
order = self._api.create_order(symbol=pair, type=ordertype, side=side,
amount=amount, params=params)
self._log_exchange_response('create_stoploss_order', order)
logger.info('stoploss order added for %s. '
@@ -76,19 +85,19 @@ class Ftx(Exchange):
return order
except ccxt.InsufficientFunds as e:
raise InsufficientFundsError(
f'Insufficient funds to create {ordertype} sell order on market {pair}. '
f'Insufficient funds to create {ordertype} {side} order on market {pair}. '
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
f'Message: {e}') from e
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Could not create {ordertype} sell order on market {pair}. '
f'Could not create {ordertype} {side} order on market {pair}. '
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
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 sell order due to {e.__class__.__name__}. Message: {e}') from e
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

51
freqtrade/exchange/gateio.py
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@@ -1,7 +1,9 @@
""" Gate.io exchange subclass """
import logging
from typing import Dict
from datetime import datetime
from typing import Dict, List, Optional, Tuple
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exceptions import OperationalException
from freqtrade.exchange import Exchange
@@ -26,12 +28,48 @@ class Gateio(Exchange):
"stoploss_on_exchange": True,
}
_ft_has_futures: Dict = {
"needs_trading_fees": True
}
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.MARGIN, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.CROSS),
(TradingMode.FUTURES, MarginMode.ISOLATED)
]
def validate_ordertypes(self, order_types: Dict) -> None:
super().validate_ordertypes(order_types)
if any(v == 'market' for k, v in order_types.items()):
raise OperationalException(
f'Exchange {self.name} does not support market orders.')
if self.trading_mode != TradingMode.FUTURES:
if any(v == 'market' for k, v in order_types.items()):
raise OperationalException(
f'Exchange {self.name} does not support market orders.')
def get_trades_for_order(self, order_id: str, pair: str, since: datetime,
params: Optional[Dict] = None) -> List:
trades = super().get_trades_for_order(order_id, pair, since, params)
if self.trading_mode == TradingMode.FUTURES:
# Futures usually don't contain fees in the response.
# As such, futures orders on gateio will not contain a fee, which causes
# a repeated "update fee" cycle and wrong calculations.
# Therefore we patch the response with fees if it's not available.
# An alternative also contianing fees would be
# privateFuturesGetSettleAccountBook({"settle": "usdt"})
pair_fees = self._trading_fees.get(pair, {})
if pair_fees:
for idx, trade in enumerate(trades):
if trade.get('fee', {}).get('cost') is None:
takerOrMaker = trade.get('takerOrMaker', 'taker')
if pair_fees.get(takerOrMaker) is not None:
trades[idx]['fee'] = {
'currency': self.get_pair_quote_currency(pair),
'cost': trade['cost'] * pair_fees[takerOrMaker],
'rate': pair_fees[takerOrMaker],
}
return trades
def fetch_stoploss_order(self, order_id: str, pair: str, params={}) -> Dict:
return self.fetch_order(
@@ -47,9 +85,10 @@ class Gateio(Exchange):
params={'stop': True}
)
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.
"""
return stop_loss > float(order['stopPrice'])
return ((side == "sell" and stop_loss > float(order['stopPrice'])) or
(side == "buy" and stop_loss < float(order['stopPrice'])))

2
freqtrade/exchange/huobi.py
View File

@@ -22,7 +22,7 @@ class Huobi(Exchange):
"l2_limit_range_required": False,
}
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.

103
freqtrade/exchange/kraken.py
View File

@@ -1,9 +1,12 @@
""" Kraken exchange subclass """
import logging
from typing import Any, Dict, List
from datetime import datetime
from typing import Any, Dict, List, Optional, Tuple
import ccxt
from pandas import DataFrame
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exceptions import (DDosProtection, InsufficientFundsError, InvalidOrderException,
OperationalException, TemporaryError)
from freqtrade.exchange import Exchange
@@ -21,8 +24,15 @@ class Kraken(Exchange):
"ohlcv_candle_limit": 720,
"trades_pagination": "id",
"trades_pagination_arg": "since",
"mark_ohlcv_timeframe": "4h",
}
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.MARGIN, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.CROSS)
]
def market_is_tradable(self, market: Dict[str, Any]) -> bool:
"""
Check if the market symbol is tradable by Freqtrade.
@@ -73,16 +83,19 @@ class Kraken(Exchange):
except ccxt.BaseError as e:
raise OperationalException(e) from e
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.
"""
return (order['type'] in ('stop-loss', 'stop-loss-limit')
and stop_loss > float(order['price']))
return (order['type'] in ('stop-loss', 'stop-loss-limit') and (
(side == "sell" and stop_loss > float(order['price'])) or
(side == "buy" and stop_loss < float(order['price']))
))
@retrier(retries=0)
def stoploss(self, pair: str, amount: float, stop_price: float, order_types: Dict) -> Dict:
def stoploss(self, pair: str, amount: float, stop_price: float,
order_types: Dict, side: str, leverage: float) -> Dict:
"""
Creates a stoploss market order.
Stoploss market orders is the only stoploss type supported by kraken.
@@ -90,11 +103,16 @@ class Kraken(Exchange):
(careful, prices are reversed)
"""
params = self._params.copy()
if self.trading_mode == TradingMode.FUTURES:
params.update({'reduceOnly': True})
if order_types.get('stoploss', 'market') == 'limit':
ordertype = "stop-loss-limit"
limit_price_pct = order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
limit_rate = stop_price * limit_price_pct
if side == "sell":
limit_rate = stop_price * limit_price_pct
else:
limit_rate = stop_price * (2 - limit_price_pct)
params['price2'] = self.price_to_precision(pair, limit_rate)
else:
ordertype = "stop-loss"
@@ -103,13 +121,13 @@ class Kraken(Exchange):
if self._config['dry_run']:
dry_order = self.create_dry_run_order(
pair, ordertype, "sell", amount, stop_price, stop_loss=True)
pair, ordertype, side, amount, stop_price, leverage, stop_loss=True)
return dry_order
try:
amount = self.amount_to_precision(pair, amount)
order = self._api.create_order(symbol=pair, type=ordertype, side='sell',
order = self._api.create_order(symbol=pair, type=ordertype, side=side,
amount=amount, price=stop_price, params=params)
self._log_exchange_response('create_stoploss_order', order)
logger.info('stoploss order added for %s. '
@@ -117,18 +135,81 @@ class Kraken(Exchange):
return order
except ccxt.InsufficientFunds as e:
raise InsufficientFundsError(
f'Insufficient funds to create {ordertype} sell order on market {pair}. '
f'Insufficient funds to create {ordertype} {side} order on market {pair}. '
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
f'Message: {e}') from e
except ccxt.InvalidOrder as e:
raise InvalidOrderException(
f'Could not create {ordertype} sell order on market {pair}. '
f'Could not create {ordertype} {side} order on market {pair}. '
f'Tried to create stoploss with amount {amount} at stoploss {stop_price}. '
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 sell order due to {e.__class__.__name__}. Message: {e}') from e
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 _set_leverage(
self,
leverage: float,
pair: Optional[str] = None,
trading_mode: Optional[TradingMode] = None
):
"""
Kraken set's the leverage as an option in the order object, so we need to
add it to params
"""
return
def _get_params(
self,
ordertype: str,
leverage: float,
reduceOnly: bool,
time_in_force: str = 'gtc'
) -> Dict:
params = super()._get_params(
ordertype=ordertype,
leverage=leverage,
reduceOnly=reduceOnly,
time_in_force=time_in_force,
)
if leverage > 1.0:
params['leverage'] = round(leverage)
return params
def calculate_funding_fees(
self,
df: DataFrame,
amount: float,
is_short: bool,
open_date: datetime,
close_date: Optional[datetime] = None,
time_in_ratio: Optional[float] = None
) -> float:
"""
# ! This method will always error when run by Freqtrade because time_in_ratio is never
# ! passed to _get_funding_fee. For kraken futures to work in dry run and backtesting
# ! functionality must be added that passes the parameter time_in_ratio to
# ! _get_funding_fee when using Kraken
calculates the sum of all funding fees that occurred for a pair during a futures trade
:param df: Dataframe containing combined funding and mark rates
as `open_fund` and `open_mark`.
:param amount: The quantity of the trade
:param is_short: trade direction
:param open_date: The date and time that the trade started
:param close_date: The date and time that the trade ended
:param time_in_ratio: Not used by most exchange classes
"""
if not time_in_ratio:
raise OperationalException(
f"time_in_ratio is required for {self.name}._get_funding_fee")
fees: float = 0
if not df.empty:
df = df[(df['date'] >= open_date) & (df['date'] <= close_date)]
fees = sum(df['open_fund'] * df['open_mark'] * amount * time_in_ratio)
return fees if is_short else -fees

2
freqtrade/exchange/kucoin.py
View File

@@ -28,7 +28,7 @@ class Kucoin(Exchange):
"ohlcv_candle_limit": 1500,
}
def stoploss_adjust(self, stop_loss: float, order: Dict) -> bool:
def stoploss_adjust(self, stop_loss: float, order: Dict, side: str) -> bool:
"""
Verify stop_loss against stoploss-order value (limit or price)
Returns True if adjustment is necessary.

72
freqtrade/exchange/okx.py
View File

@@ -1,7 +1,12 @@
import logging
from typing import Dict
from typing import Dict, List, Tuple
import ccxt
from freqtrade.enums import MarginMode, TradingMode
from freqtrade.exceptions import DDosProtection, OperationalException, TemporaryError
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier
logger = logging.getLogger(__name__)
@@ -15,4 +20,69 @@ class Okx(Exchange):
_ft_has: Dict = {
"ohlcv_candle_limit": 300,
"mark_ohlcv_timeframe": "4h",
"funding_fee_timeframe": "8h",
}
_ft_has_futures: Dict = {
"tickers_have_quoteVolume": False,
}
_supported_trading_mode_margin_pairs: List[Tuple[TradingMode, MarginMode]] = [
# TradingMode.SPOT always supported and not required in this list
# (TradingMode.MARGIN, MarginMode.CROSS),
# (TradingMode.FUTURES, MarginMode.CROSS),
(TradingMode.FUTURES, MarginMode.ISOLATED),
]
def _get_params(
self,
ordertype: str,
leverage: float,
reduceOnly: bool,
time_in_force: str = 'gtc',
) -> Dict:
params = super()._get_params(
ordertype=ordertype,
leverage=leverage,
reduceOnly=reduceOnly,
time_in_force=time_in_force,
)
if self.trading_mode == TradingMode.FUTURES and self.margin_mode:
params['tdMode'] = self.margin_mode.value
return params
@retrier
def _lev_prep(self, pair: str, leverage: float, side: str):
if self.trading_mode != TradingMode.SPOT and self.margin_mode is not None:
try:
# TODO-lev: Test me properly (check mgnMode passed)
self._api.set_leverage(
leverage=leverage,
symbol=pair,
params={
"mgnMode": self.margin_mode.value,
# "posSide": "net"",
})
except ccxt.DDoSProtection as e:
raise DDosProtection(e) from e
except (ccxt.NetworkError, ccxt.ExchangeError) as e:
raise TemporaryError(
f'Could not set leverage due to {e.__class__.__name__}. Message: {e}') from e
except ccxt.BaseError as e:
raise OperationalException(e) from e
def get_max_pair_stake_amount(
self,
pair: str,
price: float,
leverage: float = 1.0
) -> float:
if self.trading_mode == TradingMode.SPOT:
return float('inf') # Not actually inf, but this probably won't matter for SPOT
if pair not in self._leverage_tiers:
return float('inf')
pair_tiers = self._leverage_tiers[pair]
return pair_tiers[-1]['max'] / leverage