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Updated LocalTrade and Order classes
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a7b8de92a3
commit
c7e8439c76
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@ -45,7 +45,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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stoploss_last_update = get_column_def(cols, 'stoploss_last_update', 'null')
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max_rate = get_column_def(cols, 'max_rate', '0.0')
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min_rate = get_column_def(cols, 'min_rate', 'null')
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sell_reason = get_column_def(cols, 'sell_reason', 'null')
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close_reason = get_column_def(cols, 'close_reason', 'null')
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strategy = get_column_def(cols, 'strategy', 'null')
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# If ticker-interval existed use that, else null.
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if has_column(cols, 'ticker_interval'):
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@ -58,7 +58,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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close_profit_abs = get_column_def(
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cols, 'close_profit_abs',
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f"(amount * close_rate * (1 - {fee_close})) - {open_trade_value}")
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sell_order_status = get_column_def(cols, 'sell_order_status', 'null')
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close_order_status = get_column_def(cols, 'close_order_status', 'null')
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amount_requested = get_column_def(cols, 'amount_requested', 'amount')
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# Schema migration necessary
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@ -80,7 +80,7 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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stake_amount, amount, amount_requested, open_date, close_date, open_order_id,
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stop_loss, stop_loss_pct, initial_stop_loss, initial_stop_loss_pct,
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stoploss_order_id, stoploss_last_update,
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max_rate, min_rate, sell_reason, sell_order_status, strategy,
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max_rate, min_rate, close_reason, close_order_status, strategy,
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timeframe, open_trade_value, close_profit_abs
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)
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select id, lower(exchange),
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@ -101,8 +101,8 @@ def migrate_trades_table(decl_base, inspector, engine, table_back_name: str, col
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{initial_stop_loss} initial_stop_loss,
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{initial_stop_loss_pct} initial_stop_loss_pct,
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{stoploss_order_id} stoploss_order_id, {stoploss_last_update} stoploss_last_update,
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{max_rate} max_rate, {min_rate} min_rate, {sell_reason} sell_reason,
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{sell_order_status} sell_order_status,
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{max_rate} max_rate, {min_rate} min_rate, {close_reason} close_reason,
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{close_order_status} close_order_status,
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{strategy} strategy, {timeframe} timeframe,
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{open_trade_value} open_trade_value, {close_profit_abs} close_profit_abs
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from {table_back_name}
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@ -29,13 +29,13 @@ _SQL_DOCS_URL = 'http://docs.sqlalchemy.org/en/latest/core/engines.html#database
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def init_db(db_url: str, clean_open_orders: bool = False) -> None:
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"""
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Initializes this module with the given config,
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registers all known command handlers
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and starts polling for message updates
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:param db_url: Database to use
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:param clean_open_orders: Remove open orders from the database.
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Useful for dry-run or if all orders have been reset on the exchange.
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:return: None
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Initializes this module with the given config,
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registers all known command handlers
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and starts polling for message updates
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:param db_url: Database to use
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:param clean_open_orders: Remove open orders from the database.
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Useful for dry-run or if all orders have been reset on the exchange.
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:return: None
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"""
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kwargs = {}
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@ -131,9 +131,10 @@ class Order(_DECL_BASE):
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order_date = Column(DateTime, nullable=True, default=datetime.utcnow)
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order_filled_date = Column(DateTime, nullable=True)
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order_update_date = Column(DateTime, nullable=True)
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leverage = Column(Float, nullable=True)
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def __repr__(self):
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return (f'Order(id={self.id}, order_id={self.order_id}, trade_id={self.ft_trade_id}, '
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f'side={self.side}, order_type={self.order_type}, status={self.status})')
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@ -155,6 +156,7 @@ class Order(_DECL_BASE):
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self.average = order.get('average', self.average)
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self.remaining = order.get('remaining', self.remaining)
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self.cost = order.get('cost', self.cost)
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self.leverage = order.get('leverage', self.leverage)
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if 'timestamp' in order and order['timestamp'] is not None:
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self.order_date = datetime.fromtimestamp(order['timestamp'] / 1000, tz=timezone.utc)
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@ -226,6 +228,7 @@ class LocalTrade():
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fee_close_currency: str = ''
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open_rate: float = 0.0
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open_rate_requested: Optional[float] = None
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# open_trade_value - calculated via _calc_open_trade_value
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open_trade_value: float = 0.0
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close_rate: Optional[float] = None
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@ -254,11 +257,20 @@ class LocalTrade():
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max_rate: float = 0.0
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# Lowest price reached
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min_rate: float = 0.0
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sell_reason: str = ''
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sell_order_status: str = ''
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close_reason: str = ''
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close_order_status: str = ''
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strategy: str = ''
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timeframe: Optional[int] = None
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#Margin trading properties
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leverage: float = 1.0
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borrowed: float = 0
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borrowed_currency: float = None
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interest_rate: float = 0
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min_stoploss: float = None
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isShort: boolean = False
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#End of margin trading properties
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def __init__(self, **kwargs):
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for key in kwargs:
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setattr(self, key, kwargs[key])
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@ -322,8 +334,8 @@ class LocalTrade():
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'profit_pct': round(self.close_profit * 100, 2) if self.close_profit else None,
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'profit_abs': self.close_profit_abs,
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'sell_reason': self.sell_reason,
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'sell_order_status': self.sell_order_status,
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'close_reason': self.close_reason,
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'close_order_status': self.close_order_status,
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'stop_loss_abs': self.stop_loss,
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'stop_loss_ratio': self.stop_loss_pct if self.stop_loss_pct else None,
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'stop_loss_pct': (self.stop_loss_pct * 100) if self.stop_loss_pct else None,
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@ -340,6 +352,13 @@ class LocalTrade():
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'min_rate': self.min_rate,
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'max_rate': self.max_rate,
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'leverage': self.leverage,
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'borrowed': self.borrowed,
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'borrowed_currency': self.borrowed_currency,
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'interest_rate': self.interest_rate,
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'min_stoploss': self.min_stoploss,
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'leverage': self.leverage,
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'open_order_id': self.open_order_id,
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}
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@ -379,6 +398,9 @@ class LocalTrade():
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return
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new_loss = float(current_price * (1 - abs(stoploss)))
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#TODO: Could maybe move this if into the new stoploss if branch
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if (self.min_stoploss): #If trading on margin, don't set the stoploss below the liquidation price
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new_loss = min(self.min_stoploss, new_loss)
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# no stop loss assigned yet
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if not self.stop_loss:
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@ -389,7 +411,7 @@ class LocalTrade():
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# evaluate if the stop loss needs to be updated
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else:
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if new_loss > self.stop_loss: # stop losses only walk up, never down!
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if (new_loss > self.stop_loss and not self.isShort) or (new_loss < self.stop_loss and self.isShort): # stop losses only walk up, never down!, #TODO: But adding more to a margin account would create a lower liquidation price, decreasing the minimum stoploss
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logger.debug(f"{self.pair} - Adjusting stoploss...")
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self._set_new_stoploss(new_loss, stoploss)
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else:
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@ -403,6 +425,20 @@ class LocalTrade():
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f"Trailing stoploss saved us: "
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f"{float(self.stop_loss) - float(self.initial_stop_loss):.8f}.")
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def is_opening_trade(self, side) -> bool:
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"""
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Determines if the trade is an opening (long buy or short sell) trade
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:param side (string): the side (buy/sell) that order happens on
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"""
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return (side == 'buy' and not self.isShort) or (side == 'sell' and self.isShort)
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def is_closing_trade(self, side) -> bool:
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"""
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Determines if the trade is an closing (long sell or short buy) trade
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:param side (string): the side (buy/sell) that order happens on
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"""
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return (side == 'sell' and not self.isShort) or (side == 'buy' and self.isShort)
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def update(self, order: Dict) -> None:
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"""
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Updates this entity with amount and actual open/close rates.
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@ -416,22 +452,24 @@ class LocalTrade():
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logger.info('Updating trade (id=%s) ...', self.id)
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if order_type in ('market', 'limit') and order['side'] == 'buy':
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if order_type in ('market', 'limit') and self.isOpeningTrade(order['side']):
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# Update open rate and actual amount
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self.open_rate = float(safe_value_fallback(order, 'average', 'price'))
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self.amount = float(safe_value_fallback(order, 'filled', 'amount'))
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self.recalc_open_trade_value()
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if self.is_open:
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logger.info(f'{order_type.upper()}_BUY has been fulfilled for {self}.')
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payment = "SELL" if self.isShort else "BUY"
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logger.info(f'{order_type.upper()}_{payment} order has been fulfilled for {self}.')
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self.open_order_id = None
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elif order_type in ('market', 'limit') and order['side'] == 'sell':
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elif order_type in ('market', 'limit') and self.isClosingTrade(order['side']):
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if self.is_open:
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logger.info(f'{order_type.upper()}_SELL has been fulfilled for {self}.')
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self.close(safe_value_fallback(order, 'average', 'price'))
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payment = "BUY" if self.isShort else "SELL"
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logger.info(f'{order_type.upper()}_{payment} order has been fulfilled for {self}.')
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self.close(safe_value_fallback(order, 'average', 'price')) #TODO: Double check this
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elif order_type in ('stop_loss_limit', 'stop-loss', 'stop-loss-limit', 'stop'):
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self.stoploss_order_id = None
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self.close_rate_requested = self.stop_loss
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self.sell_reason = SellType.STOPLOSS_ON_EXCHANGE.value
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self.close_reason = SellType.STOPLOSS_ON_EXCHANGE.value
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if self.is_open:
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logger.info(f'{order_type.upper()} is hit for {self}.')
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self.close(safe_value_fallback(order, 'average', 'price'))
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@ -445,11 +483,11 @@ class LocalTrade():
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and marks trade as closed
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"""
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self.close_rate = rate
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self.close_date = self.close_date or datetime.utcnow()
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self.close_profit = self.calc_profit_ratio()
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self.close_profit_abs = self.calc_profit()
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self.close_date = self.close_date or datetime.utcnow()
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self.is_open = False
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self.sell_order_status = 'closed'
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self.close_order_status = 'closed'
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self.open_order_id = None
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if show_msg:
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logger.info(
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@ -462,14 +500,14 @@ class LocalTrade():
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"""
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Update Fee parameters. Only acts once per side
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"""
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if side == 'buy' and self.fee_open_currency is None:
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if self.is_opening_trade(side) and self.fee_open_currency is None:
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self.fee_open_cost = fee_cost
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self.fee_open_currency = fee_currency
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if fee_rate is not None:
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self.fee_open = fee_rate
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# Assume close-fee will fall into the same fee category and take an educated guess
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self.fee_close = fee_rate
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elif side == 'sell' and self.fee_close_currency is None:
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elif self.is_closing_trade(side) and self.fee_close_currency is None:
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self.fee_close_cost = fee_cost
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self.fee_close_currency = fee_currency
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if fee_rate is not None:
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@ -479,9 +517,9 @@ class LocalTrade():
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"""
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Verify if this side (buy / sell) has already been updated
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"""
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if side == 'buy':
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if self.is_opening_trade(side):
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return self.fee_open_currency is not None
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elif side == 'sell':
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elif self.is_closing_trade(side):
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return self.fee_close_currency is not None
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else:
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return False
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@ -494,9 +532,13 @@ class LocalTrade():
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Calculate the open_rate including open_fee.
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:return: Price in of the open trade incl. Fees
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"""
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buy_trade = Decimal(self.amount) * Decimal(self.open_rate)
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fees = buy_trade * Decimal(self.fee_open)
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return float(buy_trade + fees)
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open_trade = Decimal(self.amount) * Decimal(self.open_rate)
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fees = open_trade * Decimal(self.fee_open)
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if (self.isShort):
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return float(open_trade - fees)
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else:
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return float(open_trade + fees)
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def recalc_open_trade_value(self) -> None:
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"""
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@ -513,34 +555,47 @@ class LocalTrade():
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If rate is not set self.fee will be used
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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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:param borrowed: amount borrowed to make this trade
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If borrowed is not set self.borrowed will be used
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:return: Price in BTC of the open trade
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"""
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if rate is None and not self.close_rate:
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return 0.0
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sell_trade = Decimal(self.amount) * Decimal(rate or self.close_rate) # type: ignore
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fees = sell_trade * Decimal(fee or self.fee_close)
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return float(sell_trade - fees)
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close_trade = Decimal(self.amount) * Decimal(rate or self.close_rate) # type: ignore
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fees = close_trade * Decimal(fee or self.fee_close)
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if (self.isShort):
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interest = (self.interest_rate * Decimal(borrowed or self.borrowed)) * (datetime.utcnow() - self.open_date).days #Interest/day * num of days, 0 if not margin
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return float(close_trade + fees + interest)
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else:
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return float(close_trade - fees)
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def calc_profit(self, rate: Optional[float] = None,
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fee: Optional[float] = None) -> float:
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"""
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Calculate the absolute profit in stake currency between Close and Open trade
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:param fee: fee to use on the close rate (optional).
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If rate is not set self.fee will be used
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If fee is not set self.fee will be used
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:param rate: close rate to compare with (optional).
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If rate is not set self.close_rate will be used
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:param borrowed: amount borrowed to make this trade
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If borrowed is not set self.borrowed will be used
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:return: profit in stake currency as float
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"""
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close_trade_value = self.calc_close_trade_value(
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rate=(rate or self.close_rate),
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fee=(fee or self.fee_close)
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)
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profit = close_trade_value - self.open_trade_value
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if self.isShort:
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profit = self.open_trade_value - close_trade_value
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else:
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profit = close_trade_value - self.open_trade_value
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return float(f"{profit:.8f}")
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def calc_profit_ratio(self, rate: Optional[float] = None,
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fee: Optional[float] = None) -> float:
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fee: Optional[float] = None,
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borrowed: Optional[float] = None) -> float:
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"""
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Calculates the profit as ratio (including fee).
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:param rate: rate to compare with (optional).
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@ -554,7 +609,10 @@ class LocalTrade():
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)
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if self.open_trade_value == 0.0:
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return 0.0
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profit_ratio = (close_trade_value / self.open_trade_value) - 1
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if self.isShort:
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profit_ratio = (close_trade_value / self.open_trade_value) - 1
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else:
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profit_ratio = (self.open_trade_value / close_trade_value) - 1
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return float(f"{profit_ratio:.8f}")
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def select_order(self, order_side: str, is_open: Optional[bool]) -> Optional[Order]:
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@ -604,7 +662,7 @@ class LocalTrade():
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sel_trades = [trade for trade in sel_trades if trade.close_date
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and trade.close_date > close_date]
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return sel_trades
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return sel_trades #TODO: What is sel_trades does it mean sell_trades? If so, update this for margin
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@staticmethod
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def close_bt_trade(trade):
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@ -700,8 +758,8 @@ class Trade(_DECL_BASE, LocalTrade):
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max_rate = Column(Float, nullable=True, default=0.0)
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# Lowest price reached
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min_rate = Column(Float, nullable=True)
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sell_reason = Column(String(100), nullable=True)
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sell_order_status = Column(String(100), nullable=True)
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close_reason = Column(String(100), nullable=True)
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close_order_status = Column(String(100), nullable=True)
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strategy = Column(String(100), nullable=True)
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timeframe = Column(Integer, nullable=True)
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