feat: deliver multi-asset analytics, OCR exchange selection, and heatmap UX

Add asset-type aware market/overview flows, portfolio OCR reverse-engineering with exchange overrides, and interactive index heatmap features. Update README with recent updates and wire backend/frontend APIs for FX matrix, exchange options, and improved portfolio editing flows.

Made-with: Cursor

atlas-terminal/server/services/copilot_context.py

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+"""Build compact copilot context with asset-type aware fields."""
+
+from __future__ import annotations
+
+
+def build_copilot_context(asset_type: str, data: dict) -> str:
+    parts: list[str] = []
+    if asset_type == "etf":
+        parts.append(f"[Asset Type] ETF — {data.get('category')}")
+        parts.append(f"[ETF] AUM: {data.get('aum')}, Expense: {data.get('expense_ratio')}")
+        r = data.get("returns") or {}
+        parts.append(f"[Performance] YTD: {r.get('ytd')}%, 1Y: {r.get('1y')}%")
+    elif asset_type == "commodity_future":
+        parts.append(f"[Asset Type] Commodity Future — {data.get('name')}")
+        parts.append(f"[Commodity] Open Interest: {data.get('open_interest')}")
+        seasonal = data.get("seasonal_pattern") or {}
+        if seasonal:
+            best_month = max(seasonal, key=lambda k: seasonal[k])
+            worst_month = min(seasonal, key=lambda k: seasonal[k])
+            parts.append(f"[Seasonal] Best month: {best_month}, Worst: {worst_month}")
+    else:
+        parts.append("[Asset Type] Equity")
+        parts.append(f"[Sector] {data.get('sector')}")
+    return "\n".join(parts)