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]/trump/page.tsx

@@ -1,6 +1,7 @@
 import { getPosts } from '@/lib/api'
 import type { Metadata } from 'next'
 import TrumpPageClient from './TrumpPageClient'
+import Breadcrumbs from '@/components/seo/Breadcrumbs'
 
 const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://trumpsignal.com'
 export const revalidate = 30
@@ -53,8 +54,37 @@ export async function generateMetadata({
   }
 }
 
+// GEO: the live Trump signal feed is a dataset. schema.org/Dataset is highly
+// cited by AI answer engines for "data / history of X" queries. Endorphin is
+// the creator; the feed is free and continuously updated.
+const trumpDataset = {
+  '@context': 'https://schema.org',
+  '@type': 'Dataset',
+  '@id': `${siteUrl}/en/trump#dataset`,
+  name: 'Trump Truth Social crypto-signal feed',
+  description:
+    'Time-stamped feed of Donald Trump Truth Social posts classified for crypto market impact (long / short / noise) with a confidence score and the realised short-term price move. Updated within seconds of each post.',
+  url: `${siteUrl}/en/trump`,
+  keywords: ['Trump', 'Truth Social', 'Bitcoin', 'crypto signal', 'sentiment'],
+  isAccessibleForFree: true,
+  creator: { '@type': 'Organization', name: 'Endorphin', url: siteUrl },
+  publisher: { '@id': `${siteUrl}/#org` },
+  license: `${siteUrl}/en/terms`,
+  measurementTechnique: 'NLP sentiment classification with confidence scoring',
+  temporalCoverage: '2025-01-01/..',
+}
+
 export default async function TrumpPage() {
   const posts = await getPosts(500, 1).catch(() => null)
 
-  return <TrumpPageClient initialPosts={posts} />
+  return (
+    <>
+      <script
+        type="application/ld+json"
+        dangerouslySetInnerHTML={{ __html: JSON.stringify(trumpDataset) }}
+      />
+      <Breadcrumbs items={[{ name: 'Trump signals', path: '/en/trump' }]} />
+      <TrumpPageClient initialPosts={posts} />
+    </>
+  )
 }