Switch to Twelve Data priority scan (multi-key support) with FMP fallback

Author: rohan436

.github/workflows/daily_scan.yml

@@ -22,7 +22,7 @@ concurrency:
 jobs:
   scan:
     runs-on: ubuntu-latest
-    timeout-minutes: 15
+    timeout-minutes: 30
 
     # ── All secrets & config as env vars (job level) ──────────
     env:
@@ -96,7 +96,7 @@ jobs:
 
       # ── 6. Run the bot ──────────────────────────────────────
       - name: Run Tech Losers Scan
-        run: python main.py --no-wait --scan-source fmp-quotes
+        run: python main.py --no-wait --scan-source td
 
       # ── 7. Upload report artifacts (optional, for debugging) ─
       - name: Upload reports

src/provider_router.py

@@ -122,9 +122,20 @@ def get_tech_losers(self) -> List[FilteredStock]:
              self.scan_source = "fmp-quotes"
              return self.get_tech_losers() # Recursively call with new mode
         else:
-            losers = self.fmp.scan_tech_universe(limit=self.sample_size)
-            from .tech_universe import get_universe_size
-            self._stats["total_scanned"] = get_universe_size(limit=self.sample_size)
+            # Default: Twelve Data (Primary) with FMP Fallback
+            # User Preference: "Multiple 12 data API keys to scan 545 stocks... FMP as fallback"
+            print("[Source] Using Twelve Data (Primary) - Multi-Key Scan")
+            try:
+                # This automatically uses multiple keys if configured in env/secrets
+                losers = self.fmp.scan_tech_universe(limit=self.sample_size)
+                from .tech_universe import get_universe_size
+                self._stats["total_scanned"] = get_universe_size(limit=self.sample_size)
+            except Exception as e:
+                print(f"\n[Error] Twelve Data scan failed: {e}")
+                print("[Fallback] Switching to FMP Biggest Losers Feed (Safe Mode)...")
+                # Fallback to the single-request FMP feed (always safe)
+                losers = self.fmp.get_biggest_losers_fmp()
+                self._stats["total_scanned"] = len(losers)
         self._stats["total_losers"] = len(losers)
 
         if not losers: