Initial implementation of Options Sidekick

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>

backend/app/routers/signals.py

@@ -0,0 +1,14 @@
+from fastapi import APIRouter, HTTPException
+from app.models.schemas import SignalSnapshot
+from app.services.signal_engine import compute_signals
+
+router = APIRouter(prefix="/signals", tags=["signals"])
+
+
+@router.get("/{ticker}", response_model=SignalSnapshot)
+def get_signals(ticker: str):
+    ticker = ticker.upper()
+    snap = compute_signals(ticker)
+    if snap is None:
+        raise HTTPException(status_code=503, detail=f"Could not fetch market data for {ticker}")
+    return snap