mirror of
https://github.com/freqtrade/freqtrade.git
synced 2024-11-10 10:21:59 +00:00
don't spend the whole coin balance when selling
This commit is contained in:
parent
9b9d0250f7
commit
0e96197a94
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@ -80,23 +80,25 @@ def close_trade_if_fulfilled(trade: Trade) -> bool:
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return False
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def execute_sell(trade: Trade, current_rate: float) -> None:
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def execute_sell(trade: Trade, limit: float) -> None:
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"""
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Executes a sell for the given trade and current rate
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Executes a limit sell for the given trade and limit
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:param trade: Trade instance
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:param current_rate: current rate
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:param limit: limit rate for the sell order
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:return: None
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"""
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# Get available balance
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currency = trade.pair.split('_')[1]
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balance = exchange.get_balance(currency)
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profit = trade.exec_sell_order(current_rate, balance)
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message = '*{}:* Selling [{}]({}) at rate `{:f} (profit: {}%)`'.format(
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# Execute sell and update trade record
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order_id = exchange.sell(str(trade.pair), limit, trade.amount)
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trade.open_order_id = order_id
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trade.close_date = datetime.utcnow()
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exp_profit = round(trade.calc_profit(limit), 2)
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message = '*{}:* Selling [{}]({}) with limit `{:f} (profit: ~{}%)`'.format(
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trade.exchange,
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trade.pair.replace('_', '/'),
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exchange.get_pair_detail_url(trade.pair),
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trade.close_rate,
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round(profit, 2)
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limit,
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exp_profit
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)
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logger.info(message)
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telegram.send_msg(message)
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@ -107,17 +109,15 @@ def should_sell(trade: Trade, current_rate: float, current_time: datetime) -> bo
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Based an earlier trade and current price and configuration, decides whether bot should sell
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:return True if bot should sell at current rate
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"""
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current_profit = (current_rate - trade.open_rate) / trade.open_rate
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current_profit = trade.calc_profit(current_rate)
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if 'stoploss' in _CONF and current_profit < float(_CONF['stoploss']):
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logger.debug('Stop loss hit.')
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return True
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for duration, threshold in sorted(_CONF['minimal_roi'].items()):
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duration, threshold = float(duration), float(threshold)
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# Check if time matches and current rate is above threshold
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time_diff = (current_time - trade.open_date).total_seconds() / 60
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if time_diff > duration and current_profit > threshold:
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if time_diff > float(duration) and current_profit > threshold:
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return True
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logger.debug('Threshold not reached. (cur_profit: %1.2f%%)', current_profit * 100.0)
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@ -182,25 +182,24 @@ def create_trade(stake_amount: float) -> Optional[Trade]:
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else:
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return None
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open_rate = get_target_bid(exchange.get_ticker(pair))
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amount = stake_amount / open_rate
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order_id = exchange.buy(pair, open_rate, amount)
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buy_limit = get_target_bid(exchange.get_ticker(pair))
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# TODO: apply fee to amount and also consider it for profit calculations
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amount = stake_amount / buy_limit
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order_id = exchange.buy(pair, buy_limit, amount)
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# Create trade entity and return
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message = '*{}:* Buying [{}]({}) at rate `{:f}`'.format(
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exchange.EXCHANGE.name.upper(),
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message = '*{}:* Buying [{}]({}) with limit `{:f}`'.format(
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exchange.get_name().upper(),
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pair.replace('_', '/'),
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exchange.get_pair_detail_url(pair),
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open_rate
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buy_limit
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)
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logger.info(message)
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telegram.send_msg(message)
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return Trade(pair=pair,
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stake_amount=stake_amount,
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open_rate=open_rate,
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open_date=datetime.utcnow(),
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amount=amount,
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exchange=exchange.EXCHANGE.name.upper(),
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exchange=exchange.get_name().upper(),
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open_order_id=order_id,
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is_open=True)
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@ -1,15 +1,18 @@
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import logging
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from datetime import datetime
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from typing import Optional
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from typing import Optional, Dict
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import arrow
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from sqlalchemy import Boolean, Column, DateTime, Float, Integer, String, create_engine
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm.scoping import scoped_session
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from sqlalchemy.orm.session import sessionmaker
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from freqtrade import exchange
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logging.basicConfig(level=logging.DEBUG,
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format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
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logger = logging.getLogger(__name__)
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_CONF = {}
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Base = declarative_base()
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@ -51,44 +54,55 @@ class Trade(Base):
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exchange = Column(String, nullable=False)
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pair = Column(String, nullable=False)
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is_open = Column(Boolean, nullable=False, default=True)
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open_rate = Column(Float, nullable=False)
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open_rate = Column(Float)
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close_rate = Column(Float)
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close_profit = Column(Float)
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stake_amount = Column(Float, name='btc_amount', nullable=False)
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amount = Column(Float, nullable=False)
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amount = Column(Float)
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open_date = Column(DateTime, nullable=False, default=datetime.utcnow)
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close_date = Column(DateTime)
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open_order_id = Column(String)
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def __repr__(self):
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if self.is_open:
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open_since = 'closed'
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else:
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open_since = round((datetime.utcnow() - self.open_date).total_seconds() / 60, 2)
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return 'Trade(id={}, pair={}, amount={}, open_rate={}, open_since={})'.format(
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self.id,
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self.pair,
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self.amount,
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self.open_rate,
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open_since
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arrow.get(self.open_date).humanize() if self.is_open else 'closed'
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)
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def exec_sell_order(self, rate: float, amount: float) -> float:
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def update(self, order: Dict) -> None:
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"""
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Executes a sell for the given trade and updated the entity.
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:param rate: rate to sell for
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:param amount: amount to sell
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:return: current profit as percentage
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Updates this entity with amount and actual open/close rates.
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:param order: order retrieved by exchange.get_order()
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:return: None
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"""
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profit = 100 * ((rate - self.open_rate) / self.open_rate)
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if not order['closed']:
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return
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# Execute sell and update trade record
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order_id = exchange.sell(str(self.pair), rate, amount)
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self.close_rate = rate
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self.close_profit = profit
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self.close_date = datetime.utcnow()
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self.open_order_id = order_id
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logger.debug('Updating trade (id=%d) ...', self.id)
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if order['type'] == 'LIMIT_BUY':
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# Set open rate and actual amount
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self.open_rate = order['rate']
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self.amount = order['amount']
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elif order['type'] == 'LIMIT_SELL':
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# Set close rate and set actual profit
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self.close_rate = order['rate']
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self.close_profit = self.calc_profit()
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else:
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raise ValueError('Unknown order type: {}'.format(order['type']))
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self.open_order_id = None
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# Flush changes
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Trade.session.flush()
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return profit
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def calc_profit(self, rate: float=None) -> float:
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"""
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Calculates the profit in percentage.
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:param rate: rate to compare with (optional).
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If rate is not set self.close_rate will be used
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:return: profit in percentage as float
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"""
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return (rate or self.close_rate - self.open_rate) / self.open_rate
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@ -114,20 +114,18 @@ def _status(bot: Bot, update: Update) -> None:
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if get_state() != State.RUNNING:
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send_msg('*Status:* `trader is not running`', bot=bot)
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elif not trades:
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send_msg('*Status:* `no active order`', bot=bot)
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send_msg('*Status:* `no active trade`', bot=bot)
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else:
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for trade in trades:
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# calculate profit and send message to user
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current_rate = exchange.get_ticker(trade.pair)['bid']
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current_profit = 100 * ((current_rate - trade.open_rate) / trade.open_rate)
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orders = exchange.get_open_orders(trade.pair)
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orders = [o for o in orders if o['id'] == trade.open_order_id]
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order = orders[0] if orders else None
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fmt_close_profit = '{:.2f}%'.format(
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round(trade.close_profit, 2)
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) if trade.close_profit else None
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message = """
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order = exchange.get_order(trade.open_order_id)
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if trade.open_rate:
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# calculate profit and send message to user
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current_rate = exchange.get_ticker(trade.pair)['bid']
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current_profit = trade.calc_profit(current_rate)
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fmt_close_profit = '{:.2f}%'.format(
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round(trade.close_profit * 100, 2)
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) if trade.close_profit else None
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message = """
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*Trade ID:* `{trade_id}`
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*Current Pair:* [{pair}]({market_url})
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*Open Since:* `{date}`
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@ -138,19 +136,38 @@ def _status(bot: Bot, update: Update) -> None:
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*Close Profit:* `{close_profit}`
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*Current Profit:* `{current_profit:.2f}%`
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*Open Order:* `{open_order}`
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""".format(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=exchange.get_pair_detail_url(trade.pair),
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date=arrow.get(trade.open_date).humanize(),
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open_rate=trade.open_rate,
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close_rate=trade.close_rate,
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current_rate=current_rate,
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amount=round(trade.amount, 8),
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close_profit=fmt_close_profit,
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current_profit=round(current_profit, 2),
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open_order='{} ({})'.format(order['remaining'], order['type']) if order else None,
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)
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""".format(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=exchange.get_pair_detail_url(trade.pair),
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date=arrow.get(trade.open_date).humanize(),
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open_rate=trade.open_rate,
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close_rate=trade.close_rate,
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current_rate=current_rate,
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amount=round(trade.amount, 8),
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close_profit=fmt_close_profit,
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current_profit=round(current_profit * 100, 2),
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open_order='{} ({})'.format(
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order['remaining'], order['type']
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) if order else None,
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)
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else:
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message = """
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*Trade ID:* `{trade_id}`
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*Current Pair:* [{pair}]({market_url})
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*Open Since:* `{date}`
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*Open Order:* `{open_order}`
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`Waiting until order is fulfilled.`
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""".format(
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trade_id=trade.id,
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pair=trade.pair,
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market_url=exchange.get_pair_detail_url(trade.pair),
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date=arrow.get(trade.open_date).humanize(),
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open_order='{} ({})'.format(
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order['remaining'], order['type']
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) if order else None,
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)
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send_msg(message, bot=bot)
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@ -169,6 +186,8 @@ def _profit(bot: Bot, update: Update) -> None:
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profits = []
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durations = []
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for trade in trades:
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if not trade.open_rate:
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continue
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if trade.close_date:
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durations.append((trade.close_date - trade.open_date).total_seconds())
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if trade.close_profit:
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@ -176,9 +195,9 @@ def _profit(bot: Bot, update: Update) -> None:
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else:
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# Get current rate
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current_rate = exchange.get_ticker(trade.pair)['bid']
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profit = 100 * ((current_rate - trade.open_rate) / trade.open_rate)
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profit = trade.calc_profit(current_rate)
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profit_amounts.append((profit / 100) * trade.stake_amount)
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profit_amounts.append(profit * trade.stake_amount)
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profits.append(profit)
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best_pair = Trade.session.query(Trade.pair, func.sum(Trade.close_profit).label('profit_sum')) \
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@ -193,7 +212,7 @@ def _profit(bot: Bot, update: Update) -> None:
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bp_pair, bp_rate = best_pair
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markdown_msg = """
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*ROI:* `{profit_btc:.2f} ({profit:.2f}%)`
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*ROI:* `{profit_btc:.6f} ({profit:.2f}%)`
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*Trade Count:* `{trade_count}`
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*First Trade opened:* `{first_trade_date}`
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*Latest Trade opened:* `{latest_trade_date}`
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@ -201,13 +220,13 @@ def _profit(bot: Bot, update: Update) -> None:
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*Best Performing:* `{best_pair}: {best_rate:.2f}%`
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""".format(
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profit_btc=round(sum(profit_amounts), 8),
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profit=round(sum(profits), 2),
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profit=round(sum(profits) * 100, 2),
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trade_count=len(trades),
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first_trade_date=arrow.get(trades[0].open_date).humanize(),
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latest_trade_date=arrow.get(trades[-1].open_date).humanize(),
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avg_duration=str(timedelta(seconds=sum(durations) / float(len(durations)))).split('.')[0],
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best_pair=bp_pair,
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best_rate=round(bp_rate, 2),
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best_rate=round(bp_rate * 100, 2),
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)
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send_msg(markdown_msg, bot=bot)
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@ -291,20 +310,8 @@ def _forcesell(bot: Bot, update: Update) -> None:
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return
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# Get current rate
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current_rate = exchange.get_ticker(trade.pair)['bid']
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# Get available balance
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currency = trade.pair.split('_')[1]
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balance = exchange.get_balance(currency)
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# Execute sell
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profit = trade.exec_sell_order(current_rate, balance)
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message = '*{}:* Selling [{}]({}) at rate `{:f} (profit: {}%)`'.format(
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trade.exchange,
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trade.pair.replace('_', '/'),
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exchange.get_pair_detail_url(trade.pair),
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trade.close_rate,
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round(profit, 2)
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)
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logger.info(message)
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send_msg(message)
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from freqtrade.main import execute_sell
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execute_sell(trade, current_rate)
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except ValueError:
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send_msg('Invalid argument. Usage: `/forcesell <trade_id>`')
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@ -333,7 +340,7 @@ def _performance(bot: Bot, update: Update) -> None:
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stats = '\n'.join('{index}. <code>{pair}\t{profit:.2f}%</code>'.format(
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index=i + 1,
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pair=pair,
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profit=round(rate, 2)
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profit=round(rate * 100, 2)
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) for i, (pair, rate) in enumerate(pair_rates))
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message = '<b>Performance:</b>\n{}\n'.format(stats)
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