stable/freqtrade/exchange/binance.py

""" Binance exchange subclass """
import logging
from typing import Dict, List, Optional, Tuple

import arrow
import ccxt

from freqtrade.enums import Collateral, TradingMode
from freqtrade.exceptions import (DDosProtection, InsufficientFundsError, InvalidOrderException,
                                  OperationalException, TemporaryError)
from freqtrade.exchange import Exchange
from freqtrade.exchange.common import retrier


logger = logging.getLogger(__name__)


class Binance(Exchange):

    _ft_has: Dict = {
        "stoploss_on_exchange": True,
        "order_time_in_force": ['gtc', 'fok', 'ioc'],
        "time_in_force_parameter": "timeInForce",
        "ohlcv_candle_limit": 1000,
        "trades_pagination": "id",
        "trades_pagination_arg": "fromId",
        "l2_limit_range": [5, 10, 20, 50, 100, 500, 1000],
    }

    _supported_trading_mode_collateral_pairs: List[Tuple[TradingMode, Collateral]] = [
        # TradingMode.SPOT always supported and not required in this list
        # (TradingMode.MARGIN, Collateral.CROSS),  # TODO-lev: Uncomment once supported
        # (TradingMode.FUTURES, Collateral.CROSS),  # TODO-lev: Uncomment once supported
        # (TradingMode.FUTURES, Collateral.ISOLATED)  # TODO-lev: Uncomment once supported
    ]

    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 (
            (side == "sell" and stop_loss > float(order['info']['stopPrice'])) or
            (side == "buy" and stop_loss < float(order['info']['stopPrice']))
        )

    @retrier(retries=0)
    def stoploss(self, pair: str, amount: float,
                 stop_price: float, order_types: Dict, side: str) -> Dict:
        """
        creates a stoploss limit order.
        this stoploss-limit is binance-specific.
        It may work with a limited number of other exchanges, but this has not been tested yet.
        :param side: "buy" or "sell"
        """
        # Limit price threshold: As limit price should always be below stop-price
        limit_price_pct = order_types.get('stoploss_on_exchange_limit_ratio', 0.99)
        if side == "sell":
            # TODO: Name limit_rate in other exchange subclasses
            rate = stop_price * limit_price_pct
        else:
            rate = stop_price * (2 - limit_price_pct)

        ordertype = "stop_loss_limit"

        stop_price = self.price_to_precision(pair, stop_price)

        bad_stop_price = (stop_price <= rate) if side == "sell" else (stop_price >= rate)

        # Ensure rate is less than stop price
        if bad_stop_price:
            raise OperationalException(
                'In stoploss limit order, stop price should be better than limit price')

        if self._config['dry_run']:
            dry_order = self.create_dry_run_order(
                pair, ordertype, side, amount, stop_price)
            return dry_order

        try:
            params = self._params.copy()
            params.update({'stopPrice': stop_price})

            amount = self.amount_to_precision(pair, amount)

            rate = self.price_to_precision(pair, rate)

            order = self._api.create_order(symbol=pair, type=ordertype, side=side,
                                           amount=amount, price=rate, params=params)
            logger.info('stoploss limit order added for %s. '
                        'stop price: %s. limit: %s', pair, stop_price, rate)
            self._log_exchange_response('create_stoploss_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:
            # Errors:
            # `binance Order would trigger immediately.`
            raise InvalidOrderException(
                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

    @retrier
    def fill_leverage_brackets(self):
        """
            Assigns property _leverage_brackets to a dictionary of information about the leverage
            allowed on each pair
        """
        try:
            leverage_brackets = self._api.load_leverage_brackets()
            for pair, brackets in leverage_brackets.items():
                self._leverage_brackets[pair] = [
                    [
                        min_amount,
                        float(margin_req)
                    ] for [
                        min_amount,
                        margin_req
                    ] in brackets
                ]

        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

    def get_max_leverage(self, pair: Optional[str], nominal_value: Optional[float]) -> float:
        """
            Returns the maximum leverage that a pair can be traded at
            :param pair: The base/quote currency pair being traded
            :nominal_value: The total value of the trade in quote currency (collateral + debt)
        """
        pair_brackets = self._leverage_brackets[pair]
        max_lev = 1.0
        for [min_amount, margin_req] in pair_brackets:
            if nominal_value >= min_amount:
                max_lev = 1/margin_req
        return max_lev

    def lev_prep(self, pair: str, leverage: float):
        self.set_margin_mode(pair, self.collateral)
        self._set_leverage(leverage, pair, self.trading_mode)

    @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

        try:
            if trading_mode == TradingMode.FUTURES:
                self._api.set_leverage(symbol=pair, leverage=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
                                        ) -> 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"
        """
        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:
                # Set starting date to first available candle.
                since_ms = x[2][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)