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aa6ede051e
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>
91 lines
3.5 KiB
TypeScript
91 lines
3.5 KiB
TypeScript
import { getPosts } from '@/lib/api'
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import type { Metadata } from 'next'
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import TrumpPageClient from './TrumpPageClient'
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import Breadcrumbs from '@/components/seo/Breadcrumbs'
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const siteUrl = process.env.NEXT_PUBLIC_SITE_URL || 'https://trumpsignal.com'
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export const revalidate = 30
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interface TrumpPageProps {
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params: Promise<{ locale: string }>
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}
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export async function generateMetadata({
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params,
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}: TrumpPageProps): Promise<Metadata> {
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const { locale } = await params
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const isZh = false // i18n shelved — Chinese branches kept as dead code for future revival; see messages/zh.json
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return {
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title: isZh ? 'Trump Truth Social 实时信号' : 'Trump Truth Social Signals',
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description: isZh
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? '实时抓取并打分 Donald Trump 的 Truth Social 帖子，3 秒内判断是 LONG、SHORT 还是噪音，并可选择在 Hyperliquid 上以逐仓模式自动执行。'
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: 'Real-time AI scoring of every Trump Truth Social post. Classified as LONG, SHORT, or NOISE within 3 seconds. Optional auto-trade on Hyperliquid with isolated margin.',
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keywords: isZh
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? [
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'Trump 加密信号',
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'Truth Social 交易信号',
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'特朗普发帖行情',
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'Trump 自动交易',
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'Hyperliquid 机器人',
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'Trump 加密信号',
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]
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: [
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'Trump crypto signal',
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'Truth Social crypto',
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'Trump Truth Social trading bot',
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'Trump market signal',
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'crypto auto-trader',
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'Hyperliquid bot',
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],
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openGraph: {
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title: isZh ? 'Trump Truth Social 实时信号 | Trump Alpha' : 'Trump Truth Social Signals | Trump Alpha',
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description: isZh
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? '每条 Trump 帖子都在 3 秒内完成 AI 分类，输出方向、信心分和是否可执行，并支持 Hyperliquid 自动交易。'
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: 'Every Trump post scored by AI in under 3 seconds. LONG, SHORT, or NOISE — with optional Hyperliquid auto-trade.',
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},
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alternates: {
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canonical: `${siteUrl}/en/trump`,
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languages: {
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en: `${siteUrl}/en/trump`,
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'x-default': `${siteUrl}/en/trump`,
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},
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},
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}
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}
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// GEO: the live Trump signal feed is a dataset. schema.org/Dataset is highly
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// cited by AI answer engines for "data / history of X" queries. Endorphin is
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// the creator; the feed is free and continuously updated.
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const trumpDataset = {
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'@context': 'https://schema.org',
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'@type': 'Dataset',
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'@id': `${siteUrl}/en/trump#dataset`,
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name: 'Trump Truth Social crypto-signal feed',
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description:
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'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.',
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url: `${siteUrl}/en/trump`,
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keywords: ['Trump', 'Truth Social', 'Bitcoin', 'crypto signal', 'sentiment'],
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isAccessibleForFree: true,
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creator: { '@type': 'Organization', name: 'Endorphin', url: siteUrl },
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publisher: { '@id': `${siteUrl}/#org` },
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license: `${siteUrl}/en/terms`,
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measurementTechnique: 'NLP sentiment classification with confidence scoring',
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temporalCoverage: '2025-01-01/..',
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}
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export default async function TrumpPage() {
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const posts = await getPosts(500, 1).catch(() => null)
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return (
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<>
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<script
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type="application/ld+json"
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dangerouslySetInnerHTML={{ __html: JSON.stringify(trumpDataset) }}
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/>
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<Breadcrumbs items={[{ name: 'Trump signals', path: '/en/trump' }]} />
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<TrumpPageClient initialPosts={posts} />
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</>
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)
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}
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