117 lines
2.9 KiB
Python
117 lines
2.9 KiB
Python
from datetime import date, datetime
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from decimal import Decimal
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from typing import List, Optional
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from pydantic import BaseModel
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from app.schemas.portfolio import FloatDecimal
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class ScreeningSignalResponse(BaseModel):
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id: int
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screen_date: date
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ticker: str
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name: Optional[str] = None
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sector: Optional[str] = None
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market_cap: Optional[int] = None
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trading_value: Optional[int] = None
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is_limit_up: bool = False
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daily_return: Optional[FloatDecimal] = None
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trigger_low: Optional[FloatDecimal] = None
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market_state: Optional[str] = None
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status: str
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entry_date: Optional[date] = None
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entry_price: Optional[FloatDecimal] = None
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exit_date: Optional[date] = None
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exit_price: Optional[FloatDecimal] = None
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created_at: datetime
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class Config:
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from_attributes = True
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class AutoOrderResponse(BaseModel):
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id: int
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order_date: datetime
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ticker: str
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order_type: Optional[str] = None
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qty: Optional[int] = None
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price: Optional[FloatDecimal] = None
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order_no: Optional[str] = None
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status: Optional[str] = None
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screening_signal_id: Optional[int] = None
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created_at: datetime
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class Config:
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from_attributes = True
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class WatchlistItem(BaseModel):
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ticker: str
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name: Optional[str] = None
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sector: Optional[str] = None
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screen_date: date
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trading_value: Optional[int] = None
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is_limit_up: bool = False
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daily_return: Optional[FloatDecimal] = None
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trigger_low: Optional[FloatDecimal] = None
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market_state: Optional[str] = None
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status: str
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class Config:
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from_attributes = True
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class SectorStrongSignalResponse(BaseModel):
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sector: str
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signal_count: int
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id: int
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screen_date: date
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ticker: str
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name: Optional[str] = None
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trading_value: Optional[int] = None
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is_limit_up: bool = False
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daily_return: Optional[FloatDecimal] = None
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signal_strength: FloatDecimal
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status: str
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class SectorCandidateSignal(BaseModel):
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ticker: str
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name: Optional[str] = None
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sector: str
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latest_date: date
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close_price: FloatDecimal
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daily_return: FloatDecimal
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one_month_return: FloatDecimal
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relative_strength: FloatDecimal
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trading_value: int
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avg_trading_value_20: int
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trading_value_ratio: FloatDecimal
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ma5_support: bool
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breakout: bool
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score: FloatDecimal
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is_stronger_than_source: bool
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class RecentSectorCandidateResponse(BaseModel):
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signal_id: int
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screen_date: date
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ticker: str
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name: Optional[str] = None
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sector: str
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source_score: FloatDecimal
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source_one_month_return: FloatDecimal
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source_relative_strength: FloatDecimal
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stronger_count: int
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candidates: List[SectorCandidateSignal]
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class ScreeningSummary(BaseModel):
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date: date
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market_state: str
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total_screened: int
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limit_up_count: int
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watchlist_count: int
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signals: List[ScreeningSignalResponse]
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