Add list recommender functionality to backend and frontend

- Introduced a new `list_recommender` module in the backend, including a FastAPI router for handling listing recommendations.
- Implemented the logic for generating recommendations based on market data, including scoring and recommendation criteria.
- Created a new Streamlit page for the list recommender, allowing users to view recommendations and analysis results.
- Updated the main application to include the new list recommender page, enhancing the user interface with a dedicated section for listing recommendations.
- Added necessary helper functions for data formatting and API data fetching to support the new functionality.

Author: goldhaxx

backend/api/__init__.py

@@ -0,0 +1,16 @@
+from . import (
+    asset_liability,
+    backend_health,
+    deposits,
+    health,
+    liquidation,
+    metadata,
+    pnl,
+    positions,
+    price_shock,
+    snapshot,
+    ucache,
+    vaults,
+    delist_recommender,
+    list_recommender,
+)