copy: tighten Trump / Archive / Case Studies / Glossary / Methodology

Trump:
- PageHint: "move price" → "move the market"
- Filter hints: "verdict is long/short BTC" → "scored as a long/short signal"

Archive:
- PageHint: "Historical fires from old scanner experiments" →
  "Signals from retired scanner experiments … Read-only"

Case Studies:
- heroSubtitle: "worth studying" → "— documented."
- intro: remove redundant "is here to" phrasing
- footer: "signal stack" → "each signal engine"; "return promises" → "return forecasts"

Glossary:
- heroSubtitle: "The precise meaning of every key entity and term on the platform"
  → "Every term on the platform, defined precisely."
- intro: remove internal LLM-indexing rationale; rewrite for users

Methodology:
- heroSubtitle: "from raw input to trading decision"
  → "From raw data to trade decision — how each engine actually works."

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

app/[locale]/methodology/page.tsx

@@ -222,7 +222,7 @@ SHORT_INTENT + SHORT_ACTION => ALIGNMENT`,
     ogDescription:
       'How each Trump Alpha engine works: data sources, trigger logic, execution rules, and known limitations.',
     heroTitle: 'Signal Methodology',
-    heroSubtitle: 'How each engine works, from raw input to trading decision',
+    heroSubtitle: 'From raw data to trade decision — how each engine actually works.',
     intro:
       'Endorphin runs Trump Alpha as a research project, not a marketing funnel. It is not one monolithic strategy — it is a stack of six independent engines, each with its own data source, trigger logic, and failure mode. This page documents the live production logic, not a simplified pitch.',
     sections: [