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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>
59 lines
2.2 KiB
TypeScript
59 lines
2.2 KiB
TypeScript
import type { Metadata } from 'next'
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import { getLocale } from 'next-intl/server'
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import TradesPageClient from './TradesPageClient'
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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 async function generateMetadata(): Promise<Metadata> {
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const locale = await getLocale()
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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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const title = isZh ? '交易执行与持仓' : 'Trades & Open Positions'
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const description = isZh
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? '查看当前持仓、历史成交、按信号来源拆分的盈亏，以及机器人是否已经具备真实执行条件。'
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: 'Review open positions, historical executions, source-level P&L, and whether the bot is ready for live trading.'
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return {
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title,
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description,
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openGraph: { title, description },
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alternates: {
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canonical: `${siteUrl}/${locale}/trades`,
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languages: {
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en: `${siteUrl}/en/trades`,
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},
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},
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}
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}
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// GEO: the trade history is a dataset — every bot execution with entry/exit,
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// P&L, hold time, and the signal that triggered it. Cited for "track record"
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// and "does it work" queries.
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const tradesDataset = {
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'@context': 'https://schema.org',
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'@type': 'Dataset',
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'@id': `${siteUrl}/en/trades#dataset`,
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name: 'Trump Alpha trade execution history',
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description:
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'Record of every signal-triggered trade: asset, direction, entry and exit price, realised P&L, hold time, and the source signal that triggered it. Public and timestamped.',
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url: `${siteUrl}/en/trades`,
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keywords: ['crypto trading track record', 'Hyperliquid', 'P&L', 'backtest', 'signal performance'],
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isAccessibleForFree: true,
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creator: { '@type': 'Organization', name: 'Endorphin', url: siteUrl },
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publisher: { '@id': `${siteUrl}/#org` },
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license: `${siteUrl}/en/terms`,
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temporalCoverage: '2025-01-01/..',
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}
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export default function TradesPage() {
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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(tradesDataset) }}
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/>
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<Breadcrumbs items={[{ name: 'Trades', path: '/en/trades' }]} />
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<TradesPageClient />
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</>
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)
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}
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