feat(seo/geo): Dataset + Article + BreadcrumbList structured data, noindex archive

GEO (AI answer engines) — make the signal feeds and case studies machine-citeable:
- Dataset JSON-LD on /trump, /kol, /trades (creator=Endorphin, publisher→#org,
  isAccessibleForFree, temporalCoverage). These are the "data/history/track
  record" entities Perplexity/Gemini/ChatGPT cite.
- case-studies: ItemList of 5 Article nodes, each with headline/description/
  articleBody/about + citation→evidence URL + author=Endorphin. ISO dates
  derived where parseable, omitted for vague labels.
- public/llms-full.txt: single-doc full reference (methodology + glossary +
  case studies w/ sources inlined) for one-fetch AI ingestion; linked from llms.txt.

SEO:
- Breadcrumbs component (components/seo/Breadcrumbs.tsx) → BreadcrumbList JSON-LD
  on the 8 indexable content pages (trump/kol/macro/trades/analytics/
  methodology/glossary/case-studies).
- /archive split into server page + ArchivePageClient; server page sets
  robots noindex (legacy/test data — thin-content risk).
- openGraph added to /trades and /analytics (previously meta+canonical only).

Verified: tsc 0 errors, next build passes, runtime curl confirms all JSON-LD
types render and llms-full.txt serves 200. No trading/API/component-logic changes.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>

app/[locale]/glossary/page.tsx

@@ -1,5 +1,6 @@
 import type { Metadata } from 'next'
 import Link from 'next/link'
+import Breadcrumbs from '@/components/seo/Breadcrumbs'
 
 const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://trumpsignal.com'
 
@@ -357,6 +358,7 @@ export default async function GlossaryPage({ params }: { params: Promise<{ local
       type="application/ld+json"
       dangerouslySetInnerHTML={{ __html: JSON.stringify(glossaryJsonLd) }}
     />
+    <Breadcrumbs items={[{ name: copy.heroTitle, path: `/${locale}/glossary` }]} />
     <div className="page" style={{ maxWidth: 760 }}>
       <div className="page-head">
         <div>