feat: add Signal model for KJB trading signals

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

backend/alembic/versions/6c09aa4368e5_add_signals_table.py

@@ -0,0 +1,47 @@
+"""add signals table
+
+Revision ID: 6c09aa4368e5
+Revises: 882512221354
+Create Date: 2026-02-19 12:00:00.000000
+
+"""
+from typing import Sequence, Union
+
+from alembic import op
+import sqlalchemy as sa
+
+
+# revision identifiers, used by Alembic.
+revision: str = '6c09aa4368e5'
+down_revision: Union[str, None] = '882512221354'
+branch_labels: Union[str, Sequence[str], None] = None
+depends_on: Union[str, Sequence[str], None] = None
+
+
+def upgrade() -> None:
+    op.create_table('signals',
+        sa.Column('id', sa.Integer(), nullable=False),
+        sa.Column('date', sa.Date(), nullable=False),
+        sa.Column('ticker', sa.String(length=20), nullable=False),
+        sa.Column('name', sa.String(length=100), nullable=True),
+        sa.Column('signal_type', sa.Enum('BUY', 'SELL', 'PARTIAL_SELL', name='signaltype'), nullable=False),
+        sa.Column('entry_price', sa.Numeric(precision=12, scale=2), nullable=True),
+        sa.Column('target_price', sa.Numeric(precision=12, scale=2), nullable=True),
+        sa.Column('stop_loss_price', sa.Numeric(precision=12, scale=2), nullable=True),
+        sa.Column('reason', sa.String(length=200), nullable=True),
+        sa.Column('status', sa.Enum('ACTIVE', 'EXECUTED', 'EXPIRED', name='signalstatus'), nullable=True),
+        sa.Column('created_at', sa.DateTime(), nullable=True),
+        sa.PrimaryKeyConstraint('id'),
+    )
+    op.create_index(op.f('ix_signals_date'), 'signals', ['date'], unique=False)
+    op.create_index(op.f('ix_signals_id'), 'signals', ['id'], unique=False)
+    op.create_index(op.f('ix_signals_ticker'), 'signals', ['ticker'], unique=False)
+
+
+def downgrade() -> None:
+    op.drop_index(op.f('ix_signals_ticker'), table_name='signals')
+    op.drop_index(op.f('ix_signals_id'), table_name='signals')
+    op.drop_index(op.f('ix_signals_date'), table_name='signals')
+    op.drop_table('signals')
+    sa.Enum('BUY', 'SELL', 'PARTIAL_SELL', name='signaltype').drop(op.get_bind(), checkfirst=True)
+    sa.Enum('ACTIVE', 'EXECUTED', 'EXPIRED', name='signalstatus').drop(op.get_bind(), checkfirst=True)

backend/app/models/__init__.py

@@ -22,6 +22,7 @@ from app.models.stock import (
     AssetClass,
     JobLog,
 )
+from app.models.signal import Signal, SignalType, SignalStatus
 from app.models.backtest import (
     Backtest,
     BacktestStatus,
@@ -60,4 +61,7 @@ __all__ = [
     "BacktestEquityCurve",
     "BacktestHolding",
     "BacktestTransaction",
+    "Signal",
+    "SignalType",
+    "SignalStatus",
 ]

backend/app/models/signal.py

@@ -0,0 +1,40 @@
+"""
+Trading signal models.
+"""
+import enum
+from datetime import datetime
+
+from sqlalchemy import (
+    Column, Integer, String, Numeric, DateTime, Date,
+    Text, Enum as SQLEnum,
+)
+
+from app.core.database import Base
+
+
+class SignalType(str, enum.Enum):
+    BUY = "buy"
+    SELL = "sell"
+    PARTIAL_SELL = "partial_sell"
+
+
+class SignalStatus(str, enum.Enum):
+    ACTIVE = "active"
+    EXECUTED = "executed"
+    EXPIRED = "expired"
+
+
+class Signal(Base):
+    __tablename__ = "signals"
+
+    id = Column(Integer, primary_key=True, index=True)
+    date = Column(Date, nullable=False, index=True)
+    ticker = Column(String(20), nullable=False, index=True)
+    name = Column(String(100))
+    signal_type = Column(SQLEnum(SignalType), nullable=False)
+    entry_price = Column(Numeric(12, 2))
+    target_price = Column(Numeric(12, 2))
+    stop_loss_price = Column(Numeric(12, 2))
+    reason = Column(String(200))
+    status = Column(SQLEnum(SignalStatus), default=SignalStatus.ACTIVE)
+    created_at = Column(DateTime, default=datetime.utcnow)