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Extract get_trades function
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@ -106,7 +106,7 @@ def load_trades_from_db(db_url: str) -> pd.DataFrame:
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t.stop_loss, t.initial_stop_loss,
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t.strategy, t.ticker_interval
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)
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for t in Trade.query.all()],
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for t in Trade.get_trades().all()],
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columns=columns)
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return trades
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@ -11,6 +11,7 @@ from sqlalchemy import (Boolean, Column, DateTime, Float, Integer, String,
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create_engine, desc, func, inspect)
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from sqlalchemy.exc import NoSuchModuleError
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from sqlalchemy.ext.declarative import declarative_base
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from sqlalchemy.orm import Query
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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 sqlalchemy.pool import StaticPool
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@ -391,12 +392,33 @@ class Trade(_DECL_BASE):
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profit_percent = (close_trade_price / open_trade_price) - 1
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return float(f"{profit_percent:.8f}")
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@staticmethod
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def get_trades(trade_filter=None) -> Query:
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"""
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Helper function to query Trades using filter.
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:param trade_filter: Filter to apply to trades
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:return: Query object
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"""
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if trade_filter is not None:
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if not isinstance(trade_filter, list):
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trade_filter = [trade_filter]
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return Trade.query.filter(*trade_filter)
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else:
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return Trade.query
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@staticmethod
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def get_open_trades() -> List[Any]:
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"""
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Query trades from persistence layer
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"""
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return Trade.get_trades(Trade.is_open.is_(True)).all()
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@staticmethod
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def get_open_order_trades():
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"""
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Returns all open trades
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"""
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return Trade.query.filter(Trade.open_order_id.isnot(None)).all()
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return Trade.get_trades(Trade.open_order_id.isnot(None)).all()
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@staticmethod
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def total_open_trades_stakes() -> float:
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@ -443,13 +465,6 @@ class Trade(_DECL_BASE):
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.order_by(desc('profit_sum')).first()
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return best_pair
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@staticmethod
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def get_open_trades() -> List[Any]:
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"""
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Query trades from persistence layer
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"""
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return Trade.query.filter(Trade.is_open.is_(True)).all()
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@staticmethod
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def stoploss_reinitialization(desired_stoploss):
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"""
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