Files
signal-platform/app/models/trade_setup.py
T
dennisthiessen aadec7d403
Deploy / lint (push) Successful in 7s
Deploy / test (push) Successful in 1m8s
Deploy / deploy (push) Successful in 35s
promote residual momentum ranking
2026-07-02 21:00:39 +02:00

67 lines
2.7 KiB
Python

from datetime import date, datetime
import json
from sqlalchemy import Date, DateTime, Float, ForeignKey, String, Text
from sqlalchemy.orm import Mapped, mapped_column, relationship
from app.database import Base
class TradeSetup(Base):
__tablename__ = "trade_setups"
id: Mapped[int] = mapped_column(primary_key=True)
ticker_id: Mapped[int] = mapped_column(
ForeignKey("tickers.id", ondelete="CASCADE"), nullable=False
)
direction: Mapped[str] = mapped_column(String(10), nullable=False)
entry_price: Mapped[float] = mapped_column(Float, nullable=False)
stop_loss: Mapped[float] = mapped_column(Float, nullable=False)
target: Mapped[float] = mapped_column(Float, nullable=False)
rr_ratio: Mapped[float] = mapped_column(Float, nullable=False)
composite_score: Mapped[float] = mapped_column(Float, nullable=False)
detected_at: Mapped[datetime] = mapped_column(
DateTime(timezone=True), nullable=False
)
confidence_score: Mapped[float | None] = mapped_column(Float, nullable=True)
# Ticker's activation momentum percentile across the universe at detection
# time. Since July 2026 this is residual 12-1 momentum when benchmark data is
# available, with raw 12-1 as a fallback.
momentum_percentile: Mapped[float | None] = mapped_column(Float, nullable=True)
targets_json: Mapped[str | None] = mapped_column(Text, nullable=True)
conflict_flags_json: Mapped[str | None] = mapped_column(Text, nullable=True)
recommended_action: Mapped[str | None] = mapped_column(String(20), nullable=True)
reasoning: Mapped[str | None] = mapped_column(Text, nullable=True)
risk_level: Mapped[str | None] = mapped_column(String(10), nullable=True)
actual_outcome: Mapped[str | None] = mapped_column(String(20), nullable=True)
evaluated_at: Mapped[datetime | None] = mapped_column(
DateTime(timezone=True), nullable=True
)
outcome_date: Mapped[date | None] = mapped_column(Date, nullable=True)
ticker = relationship("Ticker", back_populates="trade_setups")
@property
def targets(self) -> list[dict]:
if not self.targets_json:
return []
try:
parsed = json.loads(self.targets_json)
except (TypeError, ValueError):
return []
return parsed if isinstance(parsed, list) else []
@property
def conflict_flags(self) -> list[str]:
if not self.conflict_flags_json:
return []
try:
parsed = json.loads(self.conflict_flags_json)
except (TypeError, ValueError):
return []
if not isinstance(parsed, list):
return []
return [str(item) for item in parsed]