phase 14-15: docker build validation and helm deployment

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+# Lakehouse Views
+
+Example SQL views for Trino over MinIO-backed analytical fact tables.
+
+These views are designed to be created in the `lakehouse.stonks` schema and
+can be used directly in Superset dashboards or ad hoc Trino queries.
+
+## Views
+
+- `prediction_accuracy` — Joins predicted signals with realized market moves to score prediction quality
+- `paper_trade_scorecard` — Aggregates paper trading performance by symbol with win rates and PnL
+- `paper_trade_detail` — Per-order paper trade detail with fill prices and realized outcomes
+- `signal_hit_rate` — Daily signal accuracy summary across all symbols
+
+## Usage
+
+Connect to Trino and run each `.sql` file to create the view:
+
+```bash
+trino --catalog lakehouse --schema stonks < lakehouse/views/prediction_accuracy.sql
+```
+
+Or paste into the Superset SQL Lab to explore interactively.