Telegram /news command: net XAU/USD news sentiment score on demand

Owner-locked /news replies with the existing get_pair_sentiment() net
score (XAU mean - USD mean, -1..+1) and its label; a caveat line marks
the no-headlines case so a feed outage can't read as neutral. Fetch runs
in the shared executor with a placeholder-then-edit reply. Display-only:
news still never gates signals. Registered in handler block, command
menu, help text, docstring, and user guide; 3 new builder tests (299).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_017975c1TufZ3xRYAq8iWTCS

test_all.py

@@ -1591,7 +1591,7 @@ print("\n═══ Module 7: telegram_bot.py ═══")
 
 from telegram_bot import (
     _escape_md, _signal_label, _mtf_line, _indicator_summary,
-    format_signal_message, _format_scan_summary,
+    format_signal_message, _format_scan_summary, _news_text,
     _seconds_until_boundary, _check_level_breach,
     scan_keyboard, SCAN_BUTTONS, SCAN_LOOKUP,
     _update_level_cache, _last_prices, _level_cache, _level_cache_ts,
@@ -1881,6 +1881,31 @@ def _():
     assert ws_to_pair["XAU/USD"] == XAUUSD
 
 
+@test("_news_text bullish score")
+def _():
+    ctx = FundamentalContext(news_sentiment={"XAU": 0.5, "USD": -0.1})
+    text = _news_text(ctx, NewsEngine(PlatformConfig().news))
+    assert "+0.60" in text
+    assert "Bullish" in text
+    assert "no scored headlines" not in text
+
+
+@test("_news_text bearish score")
+def _():
+    ctx = FundamentalContext(news_sentiment={"XAU": -0.4, "USD": 0.1})
+    text = _news_text(ctx, NewsEngine(PlatformConfig().news))
+    assert "-0.50" in text
+    assert "Bearish" in text
+
+
+@test("_news_text degrades on empty context")
+def _():
+    text = _news_text(FundamentalContext(), NewsEngine(PlatformConfig().news))
+    assert "+0.00" in text
+    assert "Neutral" in text
+    assert "no scored headlines" in text
+
+
 # ══════════════════════════════════════════════════════════════════════
 #  MODULE 8: Integration / Cross-module tests
 # ══════════════════════════════════════════════════════════════════════