olsch01
b7d4e900cc
Full-stack iOS options trading assistant: - Python FastAPI backend with SQLite, APScheduler (15-min position monitor), APNs push notifications, and yfinance market data integration - Signal engine: IV Rank (rolling HV proxy), SMA-50/200, swing-based support/resistance, earnings detection, signal strength scoring and noise-resistant SHA hash for change detection - Recommendation engine: covered call and cash-secured put strike/expiry selection across 0DTE, 1DTE, weekly, and monthly horizons - REST API: /devices, /portfolio, /recommendations, /positions, /signals, /alerts - iOS SwiftUI app (iOS 17+): dashboard, recommendations, trades, portfolio, and alerts tabs with push notification deep-linking - Unit + integration tests for signal engine and API layer Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
28 lines
658 B
Python
28 lines
658 B
Python
from sqlalchemy import create_engine
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from sqlalchemy.orm import sessionmaker, DeclarativeBase
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from app.config import settings
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engine = create_engine(
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settings.database_url,
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connect_args={"check_same_thread": False} if "sqlite" in settings.database_url else {},
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)
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SessionLocal = sessionmaker(autocommit=False, autoflush=False, bind=engine)
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class Base(DeclarativeBase):
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pass
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def get_db():
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db = SessionLocal()
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try:
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yield db
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finally:
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db.close()
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def init_db():
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from app.models.db_models import Device, StockPosition, OptionPosition, Recommendation, Alert # noqa: F401
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Base.metadata.create_all(bind=engine)
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