app.backbone.entities.trade
1from sqlalchemy import Column, DateTime, ForeignKey, Integer, Float, Date, Boolean, String 2from sqlalchemy.orm import relationship 3from . import Base 4 5class Trade(Base): 6 __tablename__ = 'Trades' 7 8 Id = Column(Integer, primary_key=True, autoincrement=True) 9 BotPerformanceId = Column(Integer, ForeignKey('BotPerformances.Id'), nullable=False) 10 11 Size = Column(Integer, nullable=False) 12 EntryBar = Column(Integer, nullable=False) 13 ExitBar = Column(Integer, nullable=False) 14 EntryPrice = Column(Float, nullable=False) 15 ExitPrice = Column(Float, nullable=False) 16 SL = Column(Float, nullable=True) 17 TP = Column(Float, nullable=True) 18 Tag = Column(String, nullable=True) 19 PnL = Column(Float, nullable=False) 20 NetPnL = Column(Float, nullable=False) 21 Commission = Column(Float, nullable=False) 22 ReturnPct = Column(Float, nullable=False) 23 EntryTime = Column(DateTime, nullable=False) 24 ExitTime = Column(DateTime, nullable=False) 25 Duration = Column(Integer, nullable=False) 26 Equity = Column(Float, nullable=False) 27 TopBest = Column(Boolean, nullable=True) 28 TopWorst = Column(Boolean, nullable=True) 29 EntryConversionRate = Column(Float, nullable=False) 30 ExitConversionRate = Column(Float, nullable=False) 31 32 33 # Relación con BotPerformance 34 BotPerformance = relationship('BotPerformance', back_populates='TradeHistory', lazy='joined') 35 36 def __repr__(self): 37 return f"<TradeHistory(Id={self.Id}, Size={self.Size}, PnL={self.PnL}, ReturnPct={self.ReturnPct})>"
class
Trade(sqlalchemy.orm.decl_api._DynamicAttributesType, sqlalchemy.inspection.Inspectable[sqlalchemy.orm.mapper.Mapper[typing.Any]]):
6class Trade(Base): 7 __tablename__ = 'Trades' 8 9 Id = Column(Integer, primary_key=True, autoincrement=True) 10 BotPerformanceId = Column(Integer, ForeignKey('BotPerformances.Id'), nullable=False) 11 12 Size = Column(Integer, nullable=False) 13 EntryBar = Column(Integer, nullable=False) 14 ExitBar = Column(Integer, nullable=False) 15 EntryPrice = Column(Float, nullable=False) 16 ExitPrice = Column(Float, nullable=False) 17 SL = Column(Float, nullable=True) 18 TP = Column(Float, nullable=True) 19 Tag = Column(String, nullable=True) 20 PnL = Column(Float, nullable=False) 21 NetPnL = Column(Float, nullable=False) 22 Commission = Column(Float, nullable=False) 23 ReturnPct = Column(Float, nullable=False) 24 EntryTime = Column(DateTime, nullable=False) 25 ExitTime = Column(DateTime, nullable=False) 26 Duration = Column(Integer, nullable=False) 27 Equity = Column(Float, nullable=False) 28 TopBest = Column(Boolean, nullable=True) 29 TopWorst = Column(Boolean, nullable=True) 30 EntryConversionRate = Column(Float, nullable=False) 31 ExitConversionRate = Column(Float, nullable=False) 32 33 34 # Relación con BotPerformance 35 BotPerformance = relationship('BotPerformance', back_populates='TradeHistory', lazy='joined') 36 37 def __repr__(self): 38 return f"<TradeHistory(Id={self.Id}, Size={self.Size}, PnL={self.PnL}, ReturnPct={self.ReturnPct})>"
The base class of the class hierarchy.
When called, it accepts no arguments and returns a new featureless instance that has no instance attributes and cannot be given any.
Trade(**kwargs)
A simple constructor that allows initialization from kwargs.
Sets attributes on the constructed instance using the names and
values in kwargs.
Only keys that are present as attributes of the instance's class are allowed. These could be, for example, any mapped columns or relationships.