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signal-platform/app/config.py
T
dennisthiessen 21ed83c56c
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Add trade setup outcome tracking and performance stats
Closes the feedback loop on R:R scanner signals:

- Nightly outcome_evaluator job replays unresolved setups against daily
  OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as
  loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30)
- Migration 004: evaluated_at + outcome_date on trade_setups
- GET /trades/performance: hit rate, expectancy (avg R), total R with
  breakdowns by direction, recommended action, and confidence bucket
- New Performance page (stat cards, breakdown tables, Evaluate Now,
  methodology disclosure) wired into sidebar and mobile nav
- 17 new unit tests for evaluation logic and stats aggregation

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-06-10 19:23:57 +02:00

60 lines
1.7 KiB
Python

from pydantic_settings import BaseSettings, SettingsConfigDict
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_file=".env", env_file_encoding="utf-8")
# Database
database_url: str = "postgresql+asyncpg://stock_backend:changeme@localhost:5432/stock_data_backend"
# Auth
jwt_secret: str = "change-this-to-a-random-secret"
jwt_expiry_minutes: int = 60
# OHLCV Provider — Alpaca Markets
alpaca_api_key: str = ""
alpaca_api_secret: str = ""
# Sentiment Provider — Gemini with Search Grounding (legacy)
gemini_api_key: str = ""
gemini_model: str = "gemini-2.0-flash"
# Sentiment Provider — OpenAI
openai_api_key: str = ""
openai_model: str = "gpt-4o-mini"
openai_sentiment_batch_size: int = 5
# Fundamentals Provider — Financial Modeling Prep
fmp_api_key: str = ""
# Fundamentals Provider — Finnhub (optional fallback)
finnhub_api_key: str = ""
# Fundamentals Provider — Alpha Vantage (optional fallback)
alpha_vantage_api_key: str = ""
# Scheduled Jobs
data_collector_frequency: str = "daily"
sentiment_poll_interval_minutes: int = 30
fundamental_fetch_frequency: str = "daily"
rr_scan_frequency: str = "daily"
fundamental_rate_limit_retries: int = 3
fundamental_rate_limit_backoff_seconds: int = 15
# Scoring Defaults
default_watchlist_auto_size: int = 10
default_rr_threshold: float = 1.5
# Outcome evaluation: trading days before an undecided setup expires
outcome_evaluation_max_bars: int = 30
# Database Pool
db_pool_size: int = 5
db_pool_timeout: int = 30
# Logging
log_level: str = "INFO"
settings = Settings()