feat: calendrier économique TE+Investing, OIS SNB, yields 10Y, taux directeurs corrects

Calendrier économique
- Nouvelles sources : TE HTML scraping (483 events/2 sem.) + Investing.com en co-primaires
- Dédupe déterministe par clé currency+category+date (±1j pour policy_rate)
- Filtre catégorie "other", filtre discours CB (fix doublon TE vs Investing)
- CHF/Switzerland via page séparée TE (hors G20)
- Fenêtre 14 jours avec ?startDate=&endDate= passés à TE
- ForexFactory+FRED en secours uniquement si les deux scrapers tombent à vide

Probabilités OIS
- rateprobability.com (7 CBs : FED/ECB/BOJ/BOE/BOC/RBA/RBNZ)
- investinglive.com (Dellamotta) : scan URL-date 14 jours → couvre SNB/CHF manquant
- SNB : 3% probabilité hausse au 19 juin 2026 (source : IL article 2026-05-29)
- rate_expectations.json MAJ : RBNZ 79% hike (corrigé depuis 70% no-change stale)
- Dédup ±1 jour pour policy_rate (fix doublon SNB TE-18/06 vs IL-19/06)

Taux directeurs
- USD : scrapeTeRate() = 3.75% (fin midpoint FRED 3.625%)
- AUD prev : 4.10% (corrigé depuis 4.60%)
- NZD/CHF/JPY/CAD : cohérents avec TE officiel

Yields 10Y souverains
- Nouvelle lib lib/tebonds.ts : scrape TE bonds, données du jour, cache 1h
- Remplace FRED IRLTLT01XXM156N mensuel (JPY/CHF/AUD/NZD avaient 1 mois de retard)
- 8 devises + spread vs USD calculé automatiquement
- /api/yields et /api/drivers utilisent la même lib

Drivers globaux
- BTC : ticker/price Binance (plus précis que 24hr lastPrice)
- HY Spread cache : 86400s → 3600s (données FRED du jour)
- DriversBar : suppression affichage direct US 10Y, tooltip Crb 2-10 affiche US10Y+US2Y

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Capucine Gest
2026-06-01 23:16:18 +02:00
co-authored by Claude Sonnet 4.6
parent 3a39904ce5
commit eb416be780
14 changed files with 2614 additions and 244 deletions
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// lib/investinglive.ts
// Scrapes Giuseppe Dellamotta's recurring rate-expectations article on investinglive.com
// URL pattern: /news/how-have-interest-rate-expectations-changed-after-this-weeks-event-YYYYMMDD/
// Published after major market events (typically on Fridays or post-CB-decision)
//
// Data format in articleBody JSON-LD:
// "CB: XX bps (YY% probability of rate hike/no change at the next meeting)"
// Covers all 8 CBs including SNB — the only free public source with CHF OIS-equivalent data.
import type { Currency } from "./types";
// ── CB name → Currency ────────────────────────────────────────────────────────
const CB_TO_CCY: Record<string, Currency> = {
"fed": "USD",
"fomc": "USD",
"ecb": "EUR",
"boe": "GBP",
"boj": "JPY",
"boc": "CAD",
"rba": "AUD",
"rbnz": "NZD",
"snb": "CHF",
};
// ── Types ─────────────────────────────────────────────────────────────────────
export interface ILRateExpectation {
currency: Currency;
nextMeetingProbPct: number; // probability of change at next meeting (0100)
nextMeetingIsHike: boolean; // true = hike, false = cut (no-change → isHike stays false)
nextMeetingIsNoChange: boolean;
bpsYearEnd: number; // cumulative bps priced in by year-end
publishedDate: string; // YYYY-MM-DD
}
export type ILExpectationsMap = Partial<Record<Currency, ILRateExpectation>>;
// ── URL discovery ─────────────────────────────────────────────────────────────
// Try the last 14 days to find the most recently published article.
async function findLatestArticleUrl(): Promise<{ url: string; dateStr: string } | null> {
for (let daysAgo = 0; daysAgo <= 14; daysAgo++) {
const d = new Date(Date.now() - daysAgo * 86400000);
const yyyymmdd = d.toISOString().slice(0, 10).replace(/-/g, "");
const url = `https://investinglive.com/news/how-have-interest-rate-expectations-changed-after-this-weeks-event-${yyyymmdd}/`;
try {
const res = await fetch(url, {
method: "HEAD",
headers: { "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/124.0.0.0 Safari/537.36" },
next: { revalidate: 21600 }, // re-check every 6h
});
if (res.ok) return { url, dateStr: `${yyyymmdd.slice(0,4)}-${yyyymmdd.slice(4,6)}-${yyyymmdd.slice(6,8)}` };
} catch { /* try next day */ }
}
return null;
}
// ── Article parser ─────────────────────────────────────────────────────────────
// The structured data JSON-LD "articleBody" contains the raw text we need.
function parseArticleBody(text: string, publishedDate: string): ILExpectationsMap {
const result: ILExpectationsMap = {};
// Matches: "RBNZ: 75 bps (79% probability of rate hike at the next meeting)"
// "Fed: 13 bps (99% probability of no change at the next meeting)"
const linePattern = /([A-Za-z]+)\s*:\s*(\d+)\s*bps\s*\(\s*(\d+)%\s*probability\s+of\s+(rate\s+(?:hike|cut)|no\s+change)\s+at\s+the\s+next\s+meeting\)/gi;
let m: RegExpExecArray | null;
while ((m = linePattern.exec(text)) !== null) {
const [, cbRaw, bpsStr, probStr, directionRaw] = m;
const ccy = CB_TO_CCY[cbRaw.toLowerCase()];
if (!ccy) continue;
const bpsYearEnd = parseInt(bpsStr);
const probPct = parseInt(probStr);
const direction = directionRaw.toLowerCase();
const nextMeetingIsNoChange = direction === "no change";
const nextMeetingIsHike = !nextMeetingIsNoChange && direction.includes("hike");
// Probability of change = 100 - probNoChange OR directProb if it's a hike/cut
const nextMeetingProbPct = nextMeetingIsNoChange ? 100 - probPct : probPct;
result[ccy] = {
currency: ccy,
nextMeetingProbPct,
nextMeetingIsHike,
nextMeetingIsNoChange,
bpsYearEnd,
publishedDate,
};
}
return result;
}
// ── Main fetch ────────────────────────────────────────────────────────────────
export async function fetchILExpectations(): Promise<ILExpectationsMap> {
try {
const found = await findLatestArticleUrl();
if (!found) {
console.warn("[IL] No recent rate-expectations article found (last 14 days)");
return {};
}
const res = await fetch(found.url, {
headers: {
"User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 Chrome/124.0.0.0 Safari/537.36",
"Accept": "text/html,application/xhtml+xml",
"Accept-Language": "en-US,en;q=0.9",
},
next: { revalidate: 21600 }, // cache 6h — new article only published after major events
});
if (!res.ok) {
console.warn("[IL] Fetch failed:", res.status);
return {};
}
const html = await res.text();
// Extract articleBody from JSON-LD structured data
const jsonLdMatch = html.match(/"articleBody"\s*:\s*"((?:[^"\\]|\\.)*)"/);
if (!jsonLdMatch) {
console.warn("[IL] articleBody not found in JSON-LD");
return {};
}
const articleBody = jsonLdMatch[1]
.replace(/\\n/g, "\n")
.replace(/\\"/g, '"')
.replace(/\\u003c/g, "<")
.replace(/\\u003e/g, ">");
const parsed = parseArticleBody(articleBody, found.dateStr);
const count = Object.keys(parsed).length;
console.log(`[IL] Parsed ${count} CBs from article dated ${found.dateStr}`);
return parsed;
} catch (err) {
console.error("[IL] error:", err);
return {};
}
}