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' interface CaseStudy { id: string date: string source: string title: string summary: string signal: 'LONG' | 'SHORT' | 'DIVERGENCE' asset: string priceImpact: string impactWindow: string detail: string evidence: string externalUrl?: string } type CaseStudiesCopy = { title: string description: string keywords: string[] ogTitle: string ogDescription: string heroTitle: string heroSubtitle: string intro: string statAsset: string statImpact: string statWindow: string evidenceLabel: string footer: string footerMethodology: string footerGlossary: string cases: CaseStudy[] } function getCopy(locale: string): CaseStudiesCopy { const isZh = false // i18n shelved — Chinese branches kept as dead code for future revival; see messages/zh.json if (isZh) { return { title: '案例研究 - Trump Alpha', description: '整理 Trump Truth Social 帖子如何影响比特币与加密市场的公开案例,包括战略储备公告、链上大额抢跑交易、风险偏好切换以及 KOL 言行偏离样本。', keywords: [ 'Trump 加密市场影响', 'Truth Social 比特币', 'Trump 帖子行情', '加密市场案例研究', 'KOL 言行偏离案例', 'BTC 底部案例', ], ogTitle: 'Case Studies | Trump Alpha', ogDescription: '记录过往真正推动市场的帖子、仓位和链上证据,解释这些信号为什么值得跟踪。', heroTitle: '案例研究', heroSubtitle: '把历史上真正推动市场的帖子、仓位和价格反应摊开来看', intro: '这不是收益展示页,而是证据页。每个案例都尽量回答三个问题:发生了什么、市场怎么动、为什么这件事支持某个信号引擎的存在。', statAsset: '资产', statImpact: '价格影响', statWindow: '观察窗口', evidenceLabel: '证据', footer: '这些案例用于说明信号背后的历史依据,不构成前瞻性收益承诺。', footerMethodology: '方法论', footerGlossary: '术语表', cases: [ { id: 'strategic-reserve-2025', date: '2025 年 3 月 2 日', source: 'Trump Truth Social', title: '美国“战略加密储备”表态', summary: 'Trump 在 Truth Social 上确认美国战略加密储备将涵盖 BTC、ETH、SOL、XRP 和 ADA。', signal: 'LONG', asset: 'BTC / ETH', priceImpact: 'BTC +8.2%,ETH +10%+', impactWindow: '24 小时', detail: '这条帖子之所以重要,不只是因为点名了多个资产,而是因为它把“政府政策支持”从模糊口风变成了明确承诺。Trump Alpha 的语义引擎会把这种带有具体资产清单和国家层面措辞的内容识别为高置信度 LONG 事件。', evidence: 'CNBC 和 Al Jazeera 均报道了该消息后的市场反应。链上和交易所数据也出现了明显的动量资金流入。', externalUrl: 'https://www.cnbc.com/2025/03/02/trump-announces-strategic-crypto-reserve-including-bitcoin-solana-xrp-and-more.html', }, { id: 'whale-6m-perp', date: '2025 年 3 月', source: '链上 / Truth Social', title: '战略储备帖子前后出现 680 万美元抢跑收益', summary: '一只匿名地址在战略储备帖子发布前后快速建立 50 倍 BTC/ETH 杠杆仓位,并在当天平仓,获利约 680 万美元。', signal: 'LONG', asset: 'BTC', priceImpact: '+680 万美元', impactWindow: '当日', detail: '这个案例说明了两件事:第一,Trump 帖子确实能形成足够大的短线价格冲击;第二,在这种事件中,反应速度本身就是边际优势。无论这笔交易是抢跑还是极快的自动化反应,它都证明了“帖子 -> 交易 -> 盈亏”链条是真实存在的。', evidence: 'Raw Story / NewsBreak 对这笔交易做了记录,TIME 也提到相关监管层面的质疑与讨论。', externalUrl: 'https://www.newsbreak.com/raw-story-2096750/4286876592634-that-s-the-maga-playbook-crypto-trade-made-moments-before-trump-post-raises-eyebrows', }, { id: 'tariff-china-2025', date: '2025 年 4 月', source: 'Trump Truth Social', title: '关税升级帖子引发风险偏好下移', summary: 'Trump 发文谈及对中国加征大规模关税,这类表态通常被市场解读为短线 risk-off。', signal: 'SHORT', asset: 'BTC', priceImpact: 'BTC -4.1%', impactWindow: '4 小时', detail: '并不是每条 Trump 帖子都偏利多。带有贸易摩擦、关税升级、监管收紧或避险语义的内容,往往会压缩风险资产偏好。这个案例支持了信号系统中 SHORT 方向存在的必要性。', evidence: 'CoinDesk 曾整理过多次 Trump 发言影响 BTC 的案例,这次关税语境下的风险偏好回落与其历史模式一致。', externalUrl: 'https://www.coindesk.com/markets/2026/04/20/five-times-president-trump-made-a-statement-that-moved-bitcoin-and-why-it-might-happen-again-this-week', }, { id: 'kol-divergence-example', date: '示意型复合案例', source: 'KOL 文章 + 链上地址', title: '公开看多 ETH,但钱包在减仓', summary: '某位被追踪的 KOL 发布看多 ETH 的长文,随后 5 天内其钱包减少约 18 万美元 ETH 仓位,构成典型言行偏离。', signal: 'DIVERGENCE', asset: 'ETH', priceImpact: 'N/A', impactWindow: '±7 天', detail: '这个案例不是在讲单条帖子多会拉盘,而是在讲“公开叙事”和“真实仓位”可能不是一回事。对于研究型用户,这类偏离通常比单纯看多或看空更有信息增量。', evidence: '言行偏离的判定逻辑来自平台内部交叉信号系统,方法在 Methodology 页面有完整说明。', }, { id: 'btc-bottom-nov-2022', date: '2022 年 11 月', source: '历史 BTC 周期底部参考', title: 'FTX 崩盘后的 1.55 万美元区域', summary: 'FTX 事件后 BTC 跌入约 1.55 万美元区域,随后在 18 个月内回升至 6.9 万美元附近。这是 BTC 周期底部系统试图捕捉的环境类型。', signal: 'LONG', asset: 'BTC', priceImpact: '+345%', impactWindow: '18 个月', detail: '当前线上 BTC 系统并不是去回放旧版链上触发器,而是用 AHR999、200 周均线和 Pi Cycle Bottom 去逼近同一种市场结构:深度杀估值、长期趋势支撑和长期情绪出清同时出现。', evidence: '公开历史行情和长期图表都把 FTX 洗盘区间视为该轮熊市的底部核心区域。', }, ], } } return { title: 'Case Studies — Documented Trump Posts That Moved Crypto', description: 'Documented cases where Trump Truth Social posts, KOL positioning, or macro-bottom conditions moved Bitcoin and crypto markets. Includes price impact, timing, and evidence.', keywords: [ 'Trump crypto market impact', 'Trump Truth Social Bitcoin', 'crypto market moving events', 'Trump BTC trade case study', 'KOL divergence example', 'Bitcoin macro bottom case study', ], ogTitle: 'Case Studies | Trump Alpha', ogDescription: 'Historical cases that show why the Trump, BTC, and KOL engines exist: posts, wallet behavior, price reaction, and evidence.', heroTitle: 'Case Studies', heroSubtitle: 'Real events, real positioning, and real price reactions — documented.', intro: 'This is not a performance-claims page. It is an evidence page. Each case answers three questions: what happened, how the market reacted, and why that event supports one of the signal engines.', statAsset: 'Asset', statImpact: 'Price impact', statWindow: 'Window', evidenceLabel: 'Evidence', footer: 'These cases illustrate the historical basis for each signal engine. They are not return forecasts.', footerMethodology: 'Methodology', footerGlossary: 'Glossary', cases: [ { id: 'strategic-reserve-2025', date: 'March 2, 2025', source: 'Trump Truth Social', title: 'Strategic Crypto Reserve announcement', summary: 'Trump confirmed a U.S. Strategic Crypto Reserve including BTC, ETH, SOL, XRP, and ADA.', signal: 'LONG', asset: 'BTC / ETH', priceImpact: 'BTC +8.2%, ETH +10%+', impactWindow: '24 hours', detail: 'This case mattered because the post moved from vague political tone into explicit asset-level policy language. A signal engine should classify that as a high-conviction LONG event, because it names specific assets and ties them to a state-level commitment.', evidence: 'CNBC and Al Jazeera both documented the market response, and exchange plus on-chain data showed clear momentum-driven inflows after the post.', externalUrl: 'https://www.cnbc.com/2025/03/02/trump-announces-strategic-crypto-reserve-including-bitcoin-solana-xrp-and-more.html', }, { id: 'whale-6m-perp', date: 'March 2025', source: 'On-chain / Truth Social', title: '$6.8M pre-positioning profit around the reserve post', summary: 'An anonymous address built a large leveraged BTC/ETH position around the reserve announcement and reportedly closed it the same day for roughly $6.8M profit.', signal: 'LONG', asset: 'BTC', priceImpact: '+$6.8M', impactWindow: 'Same day', detail: 'This case highlights two facts at once. First, Trump-linked posts can create enough directional force to matter. Second, speed itself is edge in event-driven trading. Whether this was advance positioning or ultra-fast automation, it validates the post-to-trade-to-PnL chain.', evidence: 'The trade was documented by Raw Story / NewsBreak, and TIME later referenced the political and regulatory scrutiny around the episode.', externalUrl: 'https://www.newsbreak.com/raw-story-2096750/4286876592634-that-s-the-maga-playbook-crypto-trade-made-moments-before-trump-post-raises-eyebrows', }, { id: 'tariff-china-2025', date: 'April 2025', source: 'Trump Truth Social', title: 'Tariff escalation post triggered a risk-off move', summary: 'A tariff-escalation post created a short-term macro risk-off setup rather than a bullish crypto reaction.', signal: 'SHORT', asset: 'BTC', priceImpact: 'BTC -4.1%', impactWindow: '4 hours', detail: 'Not every Trump post is bullish for crypto. Posts framed around trade conflict, tariff escalation, tighter regulation, or macro uncertainty can compress risk appetite quickly. This case supports the need for a real SHORT branch in the signal engine.', evidence: 'CoinDesk has documented multiple instances of Trump statements moving BTC. This post fits that broader historical pattern of immediate sentiment repricing.', externalUrl: 'https://www.coindesk.com/markets/2026/04/20/five-times-president-trump-made-a-statement-that-moved-bitcoin-and-why-it-might-happen-again-this-week', }, { id: 'kol-divergence-example', date: 'Illustrative composite', source: 'KOL post + on-chain wallet', title: 'Publicly bullish on ETH, privately reducing ETH', summary: 'A tracked KOL published a bullish ETH thesis, then reduced roughly $180k of ETH exposure within five days. That is classic talks-vs-trades divergence.', signal: 'DIVERGENCE', asset: 'ETH', priceImpact: 'N/A', impactWindow: '±7 days', detail: 'This example is not about a single post moving price. It is about the information gap between public narrative and real positioning. For research-heavy users, that gap is often more valuable than a simple bullish or bearish statement.', evidence: 'The divergence classification comes from the platform’s cross-signal logic, which is documented in full on the Methodology page.', }, { id: 'btc-bottom-nov-2022', date: 'November 2022', source: 'Historical BTC macro-bottom reference', title: 'The $15.5k FTX washout zone', summary: 'After the FTX collapse, BTC entered the $15.5k region and later recovered toward $69k within roughly 18 months. This is the kind of regime the BTC macro-bottom engine is built to identify.', signal: 'LONG', asset: 'BTC', priceImpact: '+345%', impactWindow: '18 months', detail: 'The current live BTC engine is not trying to replay an old premium-data model. It is trying to locate the same market structure with AHR999, the 200-week moving average, and Pi Cycle Bottom: deep value, long-cycle support, and emotional washout lining up together.', evidence: 'Public price archives and long-range market charts consistently mark the FTX washout zone as the core bottom region of that bear market.', }, ], } } export async function generateMetadata({ params, }: { params: Promise<{ locale: string }> }): Promise { const { locale } = await params const copy = getCopy(locale) return { title: copy.title, description: copy.description, keywords: copy.keywords, openGraph: { title: copy.ogTitle, description: copy.ogDescription, }, alternates: { canonical: `${siteUrl}/${locale}/case-studies`, languages: { en: `${siteUrl}/en/case-studies`, 'x-default': `${siteUrl}/en/case-studies`, }, }, } } const SIGNAL_COLOR: Record = { LONG: '#22c55e', SHORT: '#ef4444', DIVERGENCE: '#f5a524', } // Map a free-text case date ("March 2, 2025", "April 2025", "Illustrative // composite") to an ISO date where possible. Returns undefined for vague / // non-date labels so we omit datePublished rather than emit garbage. function caseIsoDate(raw: string): string | undefined { const d = new Date(raw) return isNaN(d.getTime()) ? undefined : d.toISOString().slice(0, 10) } export default async function CaseStudiesPage({ params }: { params: Promise<{ locale: string }> }) { const { locale } = await params const copy = getCopy(locale) const isZh = false // i18n shelved — Chinese branches kept as dead code for future revival; see messages/zh.json // ── GEO: each case as a schema.org/Article in an ItemList ───────────────── // These documented event walkthroughs are exactly what AI answer engines // (Perplexity, Gemini, ChatGPT) cite for "did Trump posts move crypto" // queries. Structured data makes them machine-citeable. Evidence URLs become // citation links; Endorphin is the author/publisher. const pageUrl = `${siteUrl}/${locale}/case-studies` const caseJsonLd = { '@context': 'https://schema.org', '@type': 'ItemList', '@id': `${pageUrl}#cases`, name: copy.title, description: copy.description, itemListElement: copy.cases.map((c, i) => { const iso = caseIsoDate(c.date) const article: Record = { '@type': 'Article', '@id': `${pageUrl}#${c.id}`, headline: c.title, description: c.summary, articleBody: c.detail, about: c.asset, author: { '@type': 'Organization', name: 'Endorphin', url: siteUrl }, publisher: { '@id': `${siteUrl}/#org` }, isPartOf: { '@id': `${siteUrl}/#website` }, } if (iso) article.datePublished = iso if (c.externalUrl) { article.citation = c.externalUrl article.isBasedOn = c.externalUrl } return { '@type': 'ListItem', position: i + 1, item: article } }), } return (