Features: - FastAPI backend with stocks, news, signals, watchlist, analytics endpoints - React frontend with TailwindCSS dark mode trading dashboard - Celery workers for news fetching, sentiment analysis, pattern detection - TimescaleDB schema for time-series stock data - Docker Compose setup for all services - OpenAI integration for sentiment analysis
40 lines
1.0 KiB
Python
40 lines
1.0 KiB
Python
"""Signal schemas."""
|
|
|
|
from typing import Optional
|
|
from datetime import datetime
|
|
from uuid import UUID
|
|
from pydantic import BaseModel
|
|
|
|
|
|
class SignalBase(BaseModel):
|
|
"""Base signal schema."""
|
|
stock_id: UUID
|
|
signal_price: float
|
|
confidence_score: float
|
|
|
|
|
|
class SignalResponse(SignalBase):
|
|
"""Schema for signal response."""
|
|
id: UUID
|
|
signal_time: datetime
|
|
status: str
|
|
current_drawdown_percent: Optional[float] = None
|
|
current_sentiment_score: Optional[float] = None
|
|
expected_recovery_percent: Optional[float] = None
|
|
expected_recovery_days: Optional[int] = None
|
|
created_at: datetime
|
|
|
|
class Config:
|
|
from_attributes = True
|
|
|
|
|
|
class SignalWithDetails(SignalResponse):
|
|
"""Signal response with full details."""
|
|
panic_event_id: Optional[UUID] = None
|
|
pattern_id: Optional[UUID] = None
|
|
triggered_at: Optional[datetime] = None
|
|
outcome_price: Optional[float] = None
|
|
outcome_percent: Optional[float] = None
|
|
outcome_days: Optional[int] = None
|
|
updated_at: datetime
|