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"""Pydantic response schemas for the Prism v2 Overview API."""
from typing import Literal
from pydantic import BaseModel, Field
class SearchResult(BaseModel):
symbol: str
name: str
exchange: str | None = None
class MarketIndex(BaseModel):
name: str
price: float | None = None
change_pct: float | None = None
class Quote(BaseModel):
price: float | None = None
prev_close: float | None = None
change: float | None = None
change_pct: float | None = None
class Signal(BaseModel):
key: str
state: Literal["pos", "warn", "neg", "neu"]
value: str
description: str
class OverviewStats(BaseModel):
market_cap: float | None = None
trailing_pe: float | None = None
trailing_eps: float | None = None
volume: float | None = None
average_volume: float | None = None
beta: float | None = None
class OverviewRatios(BaseModel):
price_to_book: float | None = None
price_to_sales: float | None = None
ev_to_sales: float | None = None
ev_to_ebitda: float | None = None
gross_margin_ttm: float | None = None
operating_margin_ttm: float | None = None
net_margin_ttm: float | None = None
roe_ttm: float | None = None
roa_ttm: float | None = None
roic_ttm: float | None = None
debt_to_equity: float | None = None
current_ratio: float | None = None
dividend_yield_ttm: float | None = None
dividend_payout_ratio_ttm: float | None = None
class Range52Week(BaseModel):
low: float | None = None
high: float | None = None
price: float | None = None
class ShortInterest(BaseModel):
short_percent_of_float: float | None = None
short_ratio: float | None = None
shares_short: int | None = None
shares_short_prior_month: int | None = None
shares_short_delta_pct: float | None = None
class CompanyProfile(BaseModel):
symbol: str
name: str
sector: str | None = None
industry: str | None = None
exchange: str | None = None
website: str | None = None
summary: str | None = None
class OverviewMeta(BaseModel):
status: Literal["complete", "partial"]
is_partial: bool = False
field_availability: dict[str, bool] = Field(default_factory=dict)
sources: dict[str, str] = Field(default_factory=dict)
class TickerOverview(BaseModel):
profile: CompanyProfile
quote: Quote
signals: list[Signal] = Field(default_factory=list)
stats: OverviewStats
ratios: OverviewRatios
range_52w: Range52Week
short_interest: ShortInterest
meta: OverviewMeta
class HistoryPoint(BaseModel):
date: str
open: float | None = None
high: float | None = None
low: float | None = None
close: float | None = None
volume: float | None = None
class FinancialRow(BaseModel):
label: str
indent: int = 0
is_total: bool = False
is_section: bool = False
is_margin: bool = False
values: list[float | None] = Field(default_factory=list)
class FinancialStatement(BaseModel):
columns: list[str] = Field(default_factory=list)
rows: list[FinancialRow] = Field(default_factory=list)
class FinancialsResponse(BaseModel):
period: Literal["annual", "quarterly"]
income: FinancialStatement
balance: FinancialStatement
cash_flow: FinancialStatement
class DcfResult(BaseModel):
available: bool = True
error: str | None = None
intrinsic_value_per_share: float | None = None
enterprise_value: float | None = None
equity_value: float | None = None
net_debt: float | None = None
cash_and_equivalents: float | None = None
total_debt: float | None = None
terminal_value_pv: float | None = None
fcf_pv_sum: float | None = None
growth_rate_used: float | None = None
base_fcf: float | None = None
wacc: float = 0.10
terminal_growth: float = 0.03
projection_years: int = 5
class MultipleResult(BaseModel):
available: bool = True
implied_price_per_share: float | None = None
implied_ev: float | None = None
equity_value: float | None = None
net_debt: float | None = None
multiple_used: float | None = None
class ValuationResponse(BaseModel):
symbol: str
current_price: float | None = None
shares_outstanding: float | None = None
dcf: DcfResult
ev_ebitda: MultipleResult
ev_revenue: MultipleResult
price_to_book: MultipleResult
class WatchlistItem(BaseModel):
symbol: str
created_at: str
quote: Quote | None = None
class WatchlistResponse(BaseModel):
items: list[WatchlistItem]
limit: int = 10
class RatioPoint(BaseModel):
value: float | None = None
spark: list[float | None] = Field(default_factory=list)
vs_sector: float | None = None
class RatiosResponse(BaseModel):
pe_ttm: RatioPoint
ev_ebitda: RatioPoint
gross_margin: RatioPoint
net_margin: RatioPoint
price_to_book: RatioPoint
price_to_sales: RatioPoint
ev_to_sales: RatioPoint
p_fcf: RatioPoint
forward_pe: RatioPoint
operating_margin: RatioPoint
ebitda_margin: RatioPoint
fcf_margin: RatioPoint
roe: RatioPoint
roa: RatioPoint
roic: RatioPoint
debt_to_equity: RatioPoint
current_ratio: RatioPoint
quick_ratio: RatioPoint
interest_coverage: RatioPoint
dividend_yield: RatioPoint
dividend_payout: RatioPoint
class ErrorResponse(BaseModel):
detail: str
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