Forex Dashboard v8.0

2026-07-27 20:37:45 +00:00 · 2026-05-27 13:18:45 +02:00
commit 236afa3087
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+{
+  "version": "0.0.1",
+  "configurations": [
+    {
+      "name": "forex-dashboard",
+      "runtimeExecutable": "C:\\Program Files\\nodejs\\npm.cmd",
+      "runtimeArgs": ["run", "dev"],
+      "port": 3000
+    }
+  ]
+}
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+FRED_API_KEY=your_fred_key_here
+BYTEZ_API_KEY=your_bytez_key_here
+ALPHA_VANTAGE_KEY=your_alphavantage_key_here
+
+NEXT_PUBLIC_REFRESH_INTERVAL_MS=3600000
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+.env.local
+.next/
+node_modules/
+*.log
+
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+# Forex Macro Dashboard — v8.0
+
+Tableau de bord macroéconomique pour 8 devises majeures (USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD).
+
+## Installation
+
+### 1. Installer Node.js
+
+Télécharger **Node.js LTS** sur [nodejs.org](https://nodejs.org) (inclut npm).
+
+### 2. Installer les dépendances
+
+```bash
+cd forex-dashboard
+npm install
+```
+
+### 3. Configurer les clés API
+
+Le fichier `.env.local` est déjà créé avec tes clés FRED et Bytez.
+Ajouter ta clé OANDA quand disponible :
+
+```
+OANDA_API_KEY=ta_clé_oanda_ici
+```
+
+**Clé FRED gratuite** : [fred.stlouisfed.org](https://fred.stlouisfed.org) → My Account → API Keys  
+**Compte OANDA gratuit** : [oanda.com](https://oanda.com) → demo → API Access → Generate token
+
+### 4. Lancer en local
+
+```bash
+npm run dev
+```
+
+Ouvrir **http://localhost:3000**
+
+## Données rate expectations (banques centrales non-USD)
+
+```bash
+pip install requests beautifulsoup4
+python scripts/investinglive_scraper.py --n 1 --output json --save data/rate_expectations.json
+```
+
+Un snapshot de démonstration (mai 2026) est inclus dans `data/rate_expectations.json`.
+
+## Structure
+
+```
+forex-dashboard/
+├── app/
+│   ├── page.tsx                    ← dashboard principal
+│   ├── layout.tsx
+│   ├── globals.css
+│   └── api/
+│       ├── fred/route.ts           ← proxy FRED (cache 1h)
+│       ├── fx/route.ts             ← Frankfurter ECB (taux spot)
+│       ├── cot/route.ts            ← CFTC COT parser
+│       ├── sentiment/route.ts      ← OANDA retail sentiment
+│       ├── expectations/route.ts   ← rate_expectations.json
+│       ├── narrative/route.ts      ← Bytez LLM (Llama 3.1)
+│       ├── yields/route.ts         ← obligations 10Y (FRED, ECB, BoE, BoC)
+│       └── drivers/route.ts        ← Gold, Brent, VIX, HY/IG spreads
+├── components/
+│   ├── CurrencyCard.tsx            ← card par devise
+│   ├── DriversBar.tsx              ← barre globale des drivers
+│   └── NarrativeButton.tsx         ← bouton analyse IA Bytez
+├── lib/
+│   ├── types.ts                    ← types TypeScript
+│   ├── constants.ts                ← séries FRED corrigées, COT codes
+│   └── scoring.ts                  ← algorithme §4 + §6 (divergences)
+├── scripts/
+│   └── investinglive_scraper.py    ← scraper rate expectations
+├── data/
+│   └── rate_expectations.json      ← snapshot mensuel BC
+└── .env.local                      ← clés API (gitignored)
+```
+
+## Sources de données intégrées
+
+| Catégorie | Source | Clé |
+|-----------|--------|-----|
+| Taux directeurs, CPI, PIB, Retail Sales, Emploi | FRED | oui |
+| FX Spot | Frankfurter (ECB) | non |
+| Obligations 10Y USD | FRED DGS10 | oui |
+| Obligations 10Y EUR | ECB Data Portal | non |
+| Obligations 10Y GBP | BoE API IUDMNPY | non |
+| Obligations 10Y CAD | BoC API | non |
+| COT Positionnement | CFTC CSV public | non |
+| Sentiment retail | OANDA v20 API | oui (OANDA) |
+| Rate expectations BC | investinglive.com scraper | non |
+| Analyse narrative | Bytez (Llama 3.1) | oui (Bytez) |
+
+## Déploiement Vercel
+
+```bash
+git init && git add . && git commit -m "init forex dashboard"
+# Créer repo privé sur github.com puis :
+git remote add origin https://github.com/TONUSER/forex-dashboard.git
+git push -u origin main
+```
+
+Sur [vercel.com](https://vercel.com) : New Project → importer le repo → Settings → Environment Variables → copier les variables de `.env.local`.
+
+**Note** : le scraper Python ne tourne pas sur Vercel. Lancer localement puis committer `data/rate_expectations.json`.
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+import { NextResponse } from "next/server";
+import { COT_CODES } from "@/lib/constants";
+import type { Currency } from "@/lib/types";
+
+// CFTC CSV URL — updated weekly on Fridays
+const CFTC_URL =
+  "https://www.cftc.gov/files/dea/history/fut_fin_txt_2024.zip";
+// Current year CSV (plain text, no zip)
+const CFTC_CURRENT =
+  "https://www.cftc.gov/sites/default/files/files/dea/cotarchives/2024/futures/FinFutWk062824.txt";
+
+// In-memory cache (server lifetime)
+let cotCache: { data: Record<string, unknown>; ts: number } | null = null;
+const TTL = 7 * 24 * 3600_000; // 1 week
+
+export async function GET() {
+  if (cotCache && Date.now() - cotCache.ts < TTL) {
+    return NextResponse.json(cotCache.data);
+  }
+
+  try {
+    // Fetch latest COT "Disaggregated" or "Financial" futures CSV
+    // The public URL pattern for the most recent weekly file:
+    const now = new Date();
+    const year = now.getFullYear();
+    const csvUrl = `https://www.cftc.gov/files/dea/history/fut_fin_txt_${year}.zip`;
+
+    // Simpler approach: use the non-compressed annual file (available for current year)
+    const res = await fetch(
+      `https://www.cftc.gov/dea/newcot/FinFutWk.txt`,
+      { next: { revalidate: 86400 * 7 } }
+    );
+
+    if (!res.ok) {
+      return NextResponse.json(
+        { error: `CFTC fetch failed: ${res.status}`, note: "COT data may be unavailable temporarily." },
+        { status: 502 }
+      );
+    }
+
+    const text = await res.text();
+    const result = parseCOT(text);
+    cotCache = { data: result, ts: Date.now() };
+    return NextResponse.json(result);
+  } catch (err) {
+    return NextResponse.json({ error: String(err) }, { status: 502 });
+  }
+}
+
+function parseCOT(csv: string): Record<string, unknown> {
+  const lines = csv.split("\n");
+  if (lines.length < 2) return {};
+
+  const header = lines[0].split(",").map((h) => h.replace(/"/g, "").trim());
+  const result: Record<string, { net: number; longPct: number; shortPct: number }> = {};
+
+  const targetCodes = new Set(Object.values(COT_CODES));
+
+  for (let i = 1; i < lines.length; i++) {
+    const row = lines[i].split(",").map((v) => v.replace(/"/g, "").trim());
+    if (row.length < 10) continue;
+
+    const codeIdx = header.indexOf("CFTC_Contract_Market_Code");
+    const longIdx = header.indexOf("NonComm_Positions_Long_All");
+    const shortIdx = header.indexOf("NonComm_Positions_Short_All");
+
+    if (codeIdx < 0 || longIdx < 0 || shortIdx < 0) continue;
+    const code = row[codeIdx];
+    if (!targetCodes.has(code)) continue;
+
+    const longs = parseInt(row[longIdx] ?? "0", 10);
+    const shorts = parseInt(row[shortIdx] ?? "0", 10);
+    const total = longs + shorts;
+    const net = longs - shorts;
+
+    const currency = (Object.entries(COT_CODES) as [Currency, string][]).find(
+      ([, c]) => c === code
+    )?.[0];
+    if (!currency) continue;
+
+    result[currency] = {
+      net,
+      longPct: total > 0 ? Math.round((longs / total) * 100) : 50,
+      shortPct: total > 0 ? Math.round((shorts / total) * 100) : 50,
+    };
+  }
+
+  return result;
+}
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+import { NextResponse } from "next/server";
+
+// ── Yahoo Finance v7/quote ────────────────────────────────────────────────────
+// Un seul appel pour tous les prix marchés : VIX, S&P, commodités.
+// Pas de clé API. Gratuit. regularMarketChange = delta vs clôture j-1.
+
+type YQuote = {
+  symbol:                     string;
+  regularMarketPrice:         number;
+  regularMarketChange:        number;
+  regularMarketChangePercent: number;
+  regularMarketPreviousClose: number;
+};
+
+async function yahooQuotes(symbols: string[]): Promise<Record<string, YQuote>> {
+  try {
+    const url = `https://query1.finance.yahoo.com/v7/finance/quote?symbols=${symbols.join(",")}&fields=regularMarketPrice,regularMarketChange,regularMarketChangePercent,regularMarketPreviousClose`;
+    const res  = await fetch(url, {
+      next: { revalidate: 3600 }, // 1h — prix de marché
+      headers: {
+        "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36",
+        "Accept":     "application/json",
+      },
+    });
+    if (!res.ok) return {};
+    const results: YQuote[] = (await res.json())?.quoteResponse?.result ?? [];
+    return Object.fromEntries(results.map((q) => [q.symbol, q]));
+  } catch { return {}; }
+}
+
+function yVal(q: YQuote | undefined): number | null {
+  return q?.regularMarketPrice ?? null;
+}
+function yDelta(q: YQuote | undefined): number | null {
+  const d = q?.regularMarketChange;
+  return d != null ? parseFloat(d.toFixed(2)) : null;
+}
+function yDeltaPct(q: YQuote | undefined): number | null {
+  const p = q?.regularMarketChangePercent;
+  return p != null ? parseFloat(p.toFixed(2)) : null;
+}
+
+// ── FRED (spreads crédit + taux — 24h cache) ──────────────────────────────────
+
+async function fredObs(series: string, apiKey: string): Promise<number | null> {
+  try {
+    const url = `https://api.stlouisfed.org/fred/series/observations?series_id=${series}&api_key=${apiKey}&file_type=json&sort_order=desc&limit=1`;
+    const res  = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return null;
+    const obs  = ((await res.json())?.observations ?? []).find(
+      (o: { value: string }) => o.value !== "."
+    );
+    return obs ? parseFloat(obs.value) : null;
+  } catch { return null; }
+}
+
+// ── CoinGecko (Bitcoin — gratuit, sans clé, cache 1h) ────────────────────────
+
+async function coingeckoBTC() {
+  try {
+    const url = "https://api.coingecko.com/api/v3/simple/price?ids=bitcoin&vs_currencies=usd&include_24hr_change=true";
+    const res  = await fetch(url, { next: { revalidate: 3600 } });
+    if (!res.ok) return { value: null, change24h: null };
+    const d    = await res.json();
+    return { value: d?.bitcoin?.usd ?? null, change24h: d?.bitcoin?.usd_24h_change ?? null };
+  } catch { return { value: null, change24h: null }; }
+}
+
+// ── Alpha Vantage (S&P 500 via SPY — fallback si Yahoo échoue) ───────────────
+
+async function avGlobalQuote(symbol: string, avKey: string) {
+  try {
+    const url = `https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol=${symbol}&apikey=${avKey}`;
+    const res  = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return { value: null, changePct: null };
+    const q    = (await res.json())?.["Global Quote"];
+    if (!q)    return { value: null, changePct: null };
+    const value     = parseFloat(q["05. price"]);
+    const changePct = parseFloat((q["10. change percent"] ?? "0%").replace("%", ""));
+    return {
+      value:     isNaN(value)     ? null : value,
+      changePct: isNaN(changePct) ? null : changePct,
+    };
+  } catch { return { value: null, changePct: null }; }
+}
+
+// ── GET ───────────────────────────────────────────────────────────────────────
+
+export async function GET() {
+  const fredKey = process.env.FRED_API_KEY;
+  const avKey   = process.env.ALPHA_VANTAGE_KEY;
+  if (!fredKey) return NextResponse.json({ error: "FRED_API_KEY missing" }, { status: 500 });
+
+  // 1. Yahoo Finance — tout en un seul appel (VIX + S&P + commodités + BTC)
+  const [quotes, btcCgRes] = await Promise.all([
+    yahooQuotes(["^VIX", "^GSPC", "GC=F", "SI=F", "BZ=F", "CL=F", "BTC-USD"]),
+    coingeckoBTC(), // fallback si Yahoo échoue pour BTC
+  ]);
+
+  const vix    = quotes["^VIX"];
+  const sp500  = quotes["^GSPC"];
+  const gold   = quotes["GC=F"];
+  const silver = quotes["SI=F"];
+  const brent  = quotes["BZ=F"];
+  const wti    = quotes["CL=F"];
+  const btcYQ  = quotes["BTC-USD"]; // Yahoo primary pour BTC
+
+  // Fallback S&P via AV si Yahoo a échoué (rare)
+  const sp500Fallback = !sp500 && avKey ? await avGlobalQuote("SPY", avKey) : null;
+
+  // 2. FRED — spreads crédit + taux (24h cache, données macro)
+  const [hyRaw, igRaw, us10y, us2y] = await Promise.all([
+    fredObs("BAMLH0A0HYM2", fredKey),
+    fredObs("BAMLC0A0CM",   fredKey),
+    fredObs("DGS10",        fredKey),
+    fredObs("DGS2",         fredKey),
+  ]);
+
+  return NextResponse.json({
+    // Sentiment / Risk-On
+    vix:            yVal(vix),
+    vixDelta:       yDelta(vix),
+    sp500:          yVal(sp500) ?? sp500Fallback?.value,
+    sp500Change:    yDelta(sp500),
+    sp500ChangePct: yDeltaPct(sp500) ?? sp500Fallback?.changePct,
+    btc:            yVal(btcYQ) ?? btcCgRes.value,
+    btcChange24h:   yDeltaPct(btcYQ) ?? btcCgRes.change24h,
+    // Crédit (FRED, fraction × 100 = bps)
+    hySpread: hyRaw != null ? Math.round(hyRaw * 100) : null,
+    igSpread: igRaw != null ? Math.round(igRaw * 100) : null,
+    // Taux (dxy injecté par page.tsx depuis /api/fx)
+    us10y,
+    us2y,
+    curveSlope: us10y !== null && us2y !== null ? Math.round((us10y - us2y) * 100) : null,
+    // Commodités — Yahoo Finance (quasi temps-réel, delta vs clôture j-1)
+    gold:        yVal(gold),
+    goldDelta:   yDelta(gold),
+    silver:      yVal(silver),
+    silverDelta: yDelta(silver),
+    brent:       yVal(brent),
+    brentDelta:  yDelta(brent),
+    wti:         yVal(wti),
+    wtiDelta:    yDelta(wti),
+    // Compat
+    copper: null,
+    timestamp: Date.now(),
+  });
+}
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+import { NextResponse } from "next/server";
+import { readFileSync } from "fs";
+import { join } from "path";
+
+export async function GET() {
+  try {
+    const filePath = join(process.cwd(), "data", "rate_expectations.json");
+    const raw = readFileSync(filePath, "utf-8");
+    const data = JSON.parse(raw);
+    // Return the most recent snapshot (first item)
+    const latest = Array.isArray(data) ? data[0] : data;
+    return NextResponse.json(latest);
+  } catch {
+    return NextResponse.json({ error: "rate_expectations.json not found. Run the scraper first." }, { status: 404 });
+  }
+}
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+import { NextResponse } from "next/server";
+
+// AV primary (real-time) → Frankfurter fallback (ECB daily)
+// AV free plan: 25 req/day, 5 req/min
+// With revalidate:86400, server fetches each URL at most once per day → 7 calls/day total
+const CURRENCIES = ["EUR", "GBP", "JPY", "CHF", "CAD", "AUD", "NZD"];
+const AV_BASE    = "https://www.alphavantage.co/query";
+
+export async function GET() {
+  const avKey = process.env.ALPHA_VANTAGE_KEY;
+  if (avKey) {
+    const result = await fetchAV(avKey);
+    if (result) return NextResponse.json(result);
+  }
+  return fetchFrankfurter();
+}
+
+async function fetchAV(apiKey: string) {
+  // Sequential (not parallel) to respect AV's 5 req/min limit
+  const rates: Record<string, number> = {};
+  for (const ccy of CURRENCIES) {
+    try {
+      const url = `${AV_BASE}?function=CURRENCY_EXCHANGE_RATE&from_currency=USD&to_currency=${ccy}&apikey=${apiKey}`;
+      const res  = await fetch(url, { next: { revalidate: 86400 } }); // 24h server cache
+      if (!res.ok) continue;
+      const json = await res.json();
+      const rate = json?.["Realtime Currency Exchange Rate"]?.["5. Exchange Rate"];
+      if (rate) rates[ccy] = parseFloat(rate);
+    } catch { /* skip on error */ }
+  }
+  if (Object.keys(rates).length < 4) return null; // too many failures → fall back
+  // Approximate DXY from fetched pairs (no extra AV call needed)
+  // DXY = 50.14 × EUR^0.576 × (1/JPY)^0.136 × GBP^0.119 × (1/CAD)^0.091 × (1/CHF)^0.036
+  const e = rates.EUR, g = rates.GBP, j = rates.JPY, c = rates.CAD, ch = rates.CHF;
+  const dxy = (e && g && j && c && ch)
+    ? parseFloat((50.14348112 * Math.pow(e,0.576) * Math.pow(1/j,0.136) * Math.pow(g,0.119) * Math.pow(1/c,0.091) * Math.pow(1/ch,0.036)).toFixed(3))
+    : null;
+  return { rates, dxy, base: "USD", source: "alphavantage", timestamp: Date.now() };
+}
+
+async function fetchFrankfurter() {
+  try {
+    const res = await fetch("https://api.frankfurter.app/latest?from=USD", { next: { revalidate: 86400 } });
+    if (!res.ok) throw new Error(`Frankfurter ${res.status}`);
+    const data = await res.json();
+    return NextResponse.json({ rates: data.rates, dxy: null, base: "USD", source: "frankfurter", date: data.date });
+  } catch (err) {
+    return NextResponse.json({ error: String(err) }, { status: 502 });
+  }
+}
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+import { NextRequest, NextResponse } from "next/server";
+import { FRED_SERIES } from "@/lib/constants";
+import type { Currency } from "@/lib/types";
+
+const FRED_BASE = "https://api.stlouisfed.org/fred/series/observations";
+// Macro data changes monthly/quarterly — cache 24h
+const REVALIDATE = 86400;
+
+// ── FRED ─────────────────────────────────────────────────────────────────────
+// Note: we use original index/level URLs (no units= param) so Next.js fetch cache
+// stays warm. MoM%/QoQ% are computed locally via toIndicatorPct.
+
+async function fredObs(seriesId: string, apiKey: string, limit = 5) {
+  const url = `${FRED_BASE}?series_id=${seriesId}&api_key=${apiKey}&file_type=json&sort_order=desc&limit=${limit}`;
+  try {
+    const res = await fetch(url, { next: { revalidate: REVALIDATE } });
+    if (!res.ok) return [];
+    const json = await res.json();
+    return (json.observations ?? [])
+      .filter((o: { value: string }) => o.value !== ".")
+      .map((o: { date: string; value: string }) => ({ date: o.date, value: parseFloat(o.value) }));
+  } catch { return []; }
+}
+
+// ── Eurostat SDMX-JSON API ────────────────────────────────────────────────────
+
+async function eurostatObs(datasetCode: string, params: Record<string, string>) {
+  try {
+    const qs = new URLSearchParams({ ...params, format: "JSON" }).toString();
+    const url = `https://ec.europa.eu/eurostat/api/dissemination/statistics/1.0/data/${datasetCode}?${qs}`;
+    const res = await fetch(url, { next: { revalidate: REVALIDATE } });
+    if (!res.ok) return [];
+    const json = await res.json();
+    const timeIndex = json?.dimension?.time?.category?.index ?? {};
+    const values    = json?.value ?? {};
+    return Object.entries(timeIndex)
+      .map(([period, idx]) => ({ date: period, value: values[idx as number] as number | null }))
+      .filter((o) => o.value !== null && o.value !== undefined) as { date: string; value: number }[];
+  } catch { return []; }
+}
+
+async function eurostatObsSorted(datasetCode: string, params: Record<string, string>, limit = 5) {
+  const obs = await eurostatObs(datasetCode, params);
+  return obs.sort((a, b) => b.date.localeCompare(a.date)).slice(0, limit);
+}
+
+// ── BoE API (GBP policy rate) ─────────────────────────────────────────────────
+
+async function boeRate() {
+  try {
+    // URL dynamique : fenêtre glissante de 3 ans → évite la date hardcodée
+    const now = new Date();
+    const MONTHS = ["Jan","Feb","Mar","Apr","May","Jun","Jul","Aug","Sep","Oct","Nov","Dec"];
+    const td = now.getDate();
+    const tm = MONTHS[now.getMonth()];
+    const ty = now.getFullYear();
+    const fy = ty - 3; // 3 ans d'historique suffisent
+    const url = [
+      "https://www.bankofengland.co.uk/boeapps/database/fromshowcolumns.asp",
+      `?Travel=NIxIRx&FromSeries=1&ToSeries=50&DAT=RNG`,
+      `&FD=1&FM=Jan&FY=${fy}`,
+      `&TD=${td}&TM=${tm}&TY=${ty}`,
+      `&VPD=Y&html.x=66&html.y=26&SeriesCodes=IUDBEDR&UnitId=GBP&CSVF=TT&csv.x=47&csv.y=26`,
+    ].join("");
+    const res = await fetch(url, { next: { revalidate: REVALIDATE } });
+    if (!res.ok) return [];
+    const text = await res.text();
+    // Le CSV BoE peut avoir des guillemets et des en-têtes variables — on filtre proprement
+    const lines = text.trim().split(/\r?\n/).filter((l) => l.trim() && !l.startsWith('"DATE"') && !l.startsWith('DATE'));
+    return lines
+      .reverse()
+      .slice(0, 5)
+      .map((line) => {
+        const cols = line.split(",").map((c) => c.replace(/"/g, "").trim());
+        const val = parseFloat(cols[1] ?? "NaN");
+        return { date: cols[0] ?? "", value: val };
+      })
+      .filter((o) => o.date && !isNaN(o.value));
+  } catch { return []; }
+}
+
+// ── Shared helpers ────────────────────────────────────────────────────────────
+
+type Obs = { date: string; value: number };
+
+/** Direct levels/rates (already in %) */
+function toIndicator(obs: Obs[]) {
+  if (!obs.length) return null;
+  const value = obs[0].value;
+  const prev  = obs[1]?.value ?? null;
+  return {
+    value,
+    prev,
+    surprise:    prev !== null ? parseFloat((value - prev).toFixed(4)) : null,
+    trend:       prev !== null ? (value > prev ? "up" : value < prev ? "down" : "flat") : null,
+    lastUpdated: obs[0].date,
+  };
+}
+
+/**
+ * Converts raw level/index observations → period-over-period % change.
+ * MoM% for monthly series, QoQ% for quarterly.
+ * Requires ≥2 observations (newest first).
+ */
+function toIndicatorPct(obs: Obs[]) {
+  if (obs.length < 2) return null;
+  const pctObs: Obs[] = obs.slice(0, -1).map((cur, i) => ({
+    date:  cur.date,
+    value: parseFloat(((cur.value / obs[i + 1].value - 1) * 100).toFixed(3)),
+  }));
+  return toIndicator(pctObs);
+}
+
+// ── Server-side cache ─────────────────────────────────────────────────────────
+
+const _cache = new Map<string, { data: unknown; ts: number }>();
+
+export async function GET(req: NextRequest) {
+  const currency = (new URL(req.url).searchParams.get("currency") ?? "").toUpperCase() as Currency;
+  const series   = FRED_SERIES[currency];
+  if (!series) return NextResponse.json({ error: "Unknown currency" }, { status: 400 });
+
+  const cached = _cache.get(currency);
+  if (cached && Date.now() - cached.ts < 86_400_000) return NextResponse.json(cached.data);
+
+  const key = process.env.FRED_API_KEY;
+  if (!key) return NextResponse.json({ error: "FRED_API_KEY missing" }, { status: 500 });
+
+  // Fields and which need period-over-period % conversion
+  // policyRate / unemployment → already in % → toIndicator
+  // cpiCore / gdp / retailSales / employment → index/level → toIndicatorPct (MoM% or QoQ%)
+  const PCT_FIELDS = new Set(["cpiCore", "gdp", "retailSales", "employment"]);
+
+  const fieldMap: Record<string, string | null> = {
+    policyRate:   series.policyRate,
+    cpiCore:      series.cpiCore,
+    gdp:          series.gdp,
+    retailSales:  series.retailSales,
+    unemployment: series.unemployment,
+    employment:   series.employment,
+  };
+
+  const fredFields  = Object.entries(fieldMap).filter(([, id]) => id !== null) as [string, string][];
+  const fredResults = await Promise.all(fredFields.map(([, id]) => fredObs(id, key)));
+  const indicators: Record<string, ReturnType<typeof toIndicator>> = {};
+
+  fredFields.forEach(([field], i) => {
+    indicators[field] = PCT_FIELDS.has(field)
+      ? toIndicatorPct(fredResults[i])
+      : toIndicator(fredResults[i]);
+  });
+
+  // ── EUR alternative sources ────────────────────────────────────────────────
+
+  if (currency === "EUR") {
+    // CPI: Eurostat HICP monthly rate of change (MoM%) — CP00 = all items
+    if (!indicators.cpiCore) {
+      const hicp = await eurostatObsSorted("prc_hicp_mmr", { geo: "EA20", coicop: "CP00" });
+      indicators.cpiCore = toIndicator(hicp);
+    }
+
+    // GDP: Eurostat chained volumes → compute QoQ%
+    if (!indicators.gdp) {
+      const gdpRaw = await eurostatObsSorted("namq_10_gdp", { geo: "EA20", unit: "CLV10_MEUR", s_adj: "SCA", na_item: "B1GQ" }, 6);
+      indicators.gdp = toIndicatorPct(gdpRaw);
+    }
+
+    // Unemployment: Eurostat monthly SA rate
+    if (!indicators.unemployment) {
+      const unObs = await eurostatObsSorted("une_rt_m", { geo: "EA20", s_adj: "SA", age: "TOTAL", sex: "T", unit: "PC_ACT" });
+      indicators.unemployment = toIndicator(unObs);
+    }
+
+    // Retail sales for EUR: FRED uses German proxy index → apply MoM% if available
+    // (already handled above via toIndicatorPct if FRED returned data)
+  }
+
+  // ── GBP alternative sources ───────────────────────────────────────────────
+
+  if (currency === "GBP" && !indicators.policyRate) {
+    const boe = await boeRate();
+    indicators.policyRate = toIndicator(boe);
+  }
+
+  // Ensure all keys exist (null for missing)
+  for (const field of Object.keys(fieldMap)) {
+    if (!(field in indicators)) indicators[field] = null;
+  }
+  indicators.pmiMfg      = null;
+  indicators.pmiServices = null;
+
+  const data = { currency, indicators, fetchedAt: new Date().toISOString() };
+  _cache.set(currency, { data, ts: Date.now() });
+  return NextResponse.json(data);
+}
@@ -0,0 +1,100 @@
+import { NextRequest, NextResponse } from "next/server";
+import OpenAI from "openai";
+
+// Bytez uses an OpenAI-compatible API
+const bytez = new OpenAI({
+  apiKey: process.env.BYTEZ_API_KEY ?? "",
+  baseURL: "https://api.bytez.com/models/openai",
+});
+
+const SYSTEM_PROMPT = `Tu es un analyste macro Forex senior. Tu analyses les données macroéconomiques de 8 devises majeures (USD, EUR, GBP, JPY, CHF, CAD, AUD, NZD) et tu fournis des synthèses concises et actionnables pour un trader particulier.
+
+Tes analyses sont :
+- Directes et factuelles — pas de conditionnel excessif
+- Structurées en 3-4 points maximum
+- Focalisées sur les divergences et signaux de trading
+- En français
+- Sans disclaimers légaux
+
+Format de réponse : texte court, 80-120 mots maximum par devise.`;
+
+export async function POST(req: NextRequest) {
+  const apiKey = process.env.BYTEZ_API_KEY;
+  if (!apiKey) {
+    return NextResponse.json({ error: "BYTEZ_API_KEY not configured" }, { status: 503 });
+  }
+
+  let body: {
+    mode: "cb_analysis" | "expert_opinion" | "summary" | "divergence";
+    currency?: string;
+    data?: unknown;
+    userInput?: string;
+  };
+
+  try {
+    body = await req.json();
+  } catch {
+    return NextResponse.json({ error: "Invalid JSON body" }, { status: 400 });
+  }
+
+  const { mode, currency, data, userInput } = body;
+
+  let userMessage = "";
+
+  switch (mode) {
+    case "cb_analysis":
+      userMessage = `Analyse le communiqué de la banque centrale pour ${currency}.
+Données contextuelles : ${JSON.stringify(data, null, 2)}
+
+Fournis une analyse en 4 points :
+1. Changement de ton (hawkish/dovish/neutre)
+2. Évolution des projections de taux
+3. Phrases clés ajoutées ou supprimées vs précédent
+4. Impact suggéré sur ${currency} (+1 haussier / 0 neutre / -1 baissier)`;
+      break;
+
+    case "expert_opinion":
+      userMessage = `Point de Vérité — Confrontation IA :
+Avis expert injecté : "${userInput}"
+Données actuelles du dashboard pour ${currency} : ${JSON.stringify(data, null, 2)}
+
+Analyse :
+- Convergences entre l'avis expert et les données quantitatives
+- Divergences et points de tension
+- Score avant/après ajustement suggéré
+- Validation ou rejet de l'avis par devise`;
+      break;
+
+    case "divergence":
+      userMessage = `Analyse les divergences de positionnement détectées pour ${currency} :
+${JSON.stringify(data, null, 2)}
+
+Explique en 3 phrases : pourquoi cette configuration est significative et quelle action de trading elle suggère.`;
+      break;
+
+    case "summary":
+    default:
+      userMessage = `Génère une synthèse macro hebdomadaire pour ${currency} basée sur ces données :
+${JSON.stringify(data, null, 2)}
+
+Résumé en 3 points : situation actuelle, signal directionnel, risque principal.`;
+  }
+
+  try {
+    const completion = await bytez.chat.completions.create({
+      model: "meta-llama/Llama-3.1-8B-Instruct",
+      messages: [
+        { role: "system", content: SYSTEM_PROMPT },
+        { role: "user", content: userMessage },
+      ],
+      max_tokens: 300,
+      temperature: 0.3,
+    });
+
+    const text = completion.choices[0]?.message?.content ?? "";
+    return NextResponse.json({ analysis: text, model: completion.model, mode });
+  } catch (err: unknown) {
+    const message = err instanceof Error ? err.message : String(err);
+    return NextResponse.json({ error: `Bytez error: ${message}` }, { status: 502 });
+  }
+}
@@ -0,0 +1,66 @@
+import { NextRequest, NextResponse } from "next/server";
+
+// OANDA v20 API — position book (% long/short by pair)
+const OANDA_BASE = "https://api-fxtrade.oanda.com/v3";
+
+const MAJOR_PAIRS = [
+  "EUR_USD", "GBP_USD", "USD_JPY", "USD_CHF",
+  "USD_CAD", "AUD_USD", "NZD_USD",
+  "EUR_GBP", "EUR_JPY", "GBP_JPY",
+  "AUD_JPY", "CAD_JPY", "NZD_JPY",
+];
+
+export async function GET(req: NextRequest) {
+  const { searchParams } = new URL(req.url);
+  const pair = searchParams.get("pair");
+
+  const apiKey = process.env.OANDA_API_KEY;
+  if (!apiKey) {
+    return NextResponse.json(
+      { error: "OANDA_API_KEY not configured. Add it to .env.local." },
+      { status: 503 }
+    );
+  }
+
+  const pairsToFetch = pair ? [pair] : MAJOR_PAIRS;
+  const results: Record<string, { longPct: number; shortPct: number; pair: string }> = {};
+
+  await Promise.allSettled(
+    pairsToFetch.map(async (p) => {
+      try {
+        const res = await fetch(
+          `${OANDA_BASE}/instruments/${p}/positionBook?time=current`,
+          {
+            headers: {
+              Authorization: `Bearer ${apiKey}`,
+              "Content-Type": "application/json",
+            },
+            next: { revalidate: 3600 },
+          }
+        );
+        if (!res.ok) return;
+        const data = await res.json();
+        const buckets: { price: string; longCountPercent: string; shortCountPercent: string }[] =
+          data?.positionBook?.buckets ?? [];
+
+        let totalLong = 0;
+        let totalShort = 0;
+        for (const b of buckets) {
+          totalLong += parseFloat(b.longCountPercent ?? "0");
+          totalShort += parseFloat(b.shortCountPercent ?? "0");
+        }
+        const total = totalLong + totalShort;
+        if (total === 0) return;
+        results[p] = {
+          pair: p,
+          longPct: Math.round((totalLong / total) * 100),
+          shortPct: Math.round((totalShort / total) * 100),
+        };
+      } catch {
+        // silently skip unavailable pairs
+      }
+    })
+  );
+
+  return NextResponse.json({ pairs: results, source: "OANDA", timestamp: Date.now() });
+}
@@ -0,0 +1,95 @@
+import { NextResponse } from "next/server";
+
+// 10Y sovereign yields — mixed sources per CDC §6.4
+// USD: FRED DGS10 (daily)
+// EUR: ECB API (daily Bund)
+// GBP: BoE API IUDMNPY (daily)
+// Others: FRED monthly as fallback
+
+const FRED_KEY = () => process.env.FRED_API_KEY ?? "";
+
+async function fredObs(series: string): Promise<number | null> {
+  try {
+    const url = `https://api.stlouisfed.org/fred/series/observations?series_id=${series}&api_key=${FRED_KEY()}&file_type=json&sort_order=desc&limit=3`;
+    const res = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return null;
+    const data = await res.json();
+    const val = (data?.observations ?? []).find((o: { value: string }) => o.value !== ".")?.value;
+    return val ? parseFloat(val) : null;
+  } catch {
+    return null;
+  }
+}
+
+async function ecbBund10Y(): Promise<number | null> {
+  try {
+    const url = "https://data-api.ecb.europa.eu/service/data/YC/B.U2.EUR.4F.G_N_A.SV_C_YM.SR_10Y?format=jsondata&lastNObservations=1";
+    const res = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return null;
+    const data = await res.json();
+    const obs = data?.dataSets?.[0]?.series?.["0:0:0:0:0:0:0"]?.observations;
+    if (!obs) return null;
+    const last = Object.values(obs).at(-1) as number[] | undefined;
+    return last?.[0] ?? null;
+  } catch {
+    return null;
+  }
+}
+
+async function boeGilt10Y(): Promise<number | null> {
+  try {
+    // BoE API series IUDMNPY = UK Nominal Par Yield 10Y
+    const url = "https://www.bankofengland.co.uk/boeapps/database/_iadb-FromShowColumns.asp?csv.x=yes&Datefrom=01/Jan/2024&Dateto=now&SeriesCodes=IUDMNPY&CSVF=TN&UsingCodes=Y";
+    const res = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return null;
+    const text = await res.text();
+    const lines = text.trim().split("\n").filter((l) => l.trim());
+    const last = lines.at(-1)?.split(",");
+    const val = last?.at(-1)?.trim();
+    return val ? parseFloat(val) : null;
+  } catch {
+    return null;
+  }
+}
+
+async function bocYield10Y(): Promise<number | null> {
+  try {
+    const url = "https://www.bankofcanada.ca/valet/observations/BD.CDN.10YR.DQ.YLD/json?recent=5";
+    const res = await fetch(url, { next: { revalidate: 86400 } });
+    if (!res.ok) return null;
+    const data = await res.json();
+    const obs: { d: string; "BD.CDN.10YR.DQ.YLD": { v: string } }[] =
+      data?.observations ?? [];
+    const last = obs.findLast((o) => o["BD.CDN.10YR.DQ.YLD"]?.v);
+    return last ? parseFloat(last["BD.CDN.10YR.DQ.YLD"].v) : null;
+  } catch {
+    return null;
+  }
+}
+
+export async function GET() {
+  const [usd, eur, gbp, jpy, chf, cad, aud, nzd] = await Promise.all([
+    fredObs("DGS10"),
+    ecbBund10Y(),
+    boeGilt10Y(),
+    fredObs("IRLTLT01JPM156N"),
+    fredObs("IRLTLT01CHM156N"),
+    bocYield10Y(),
+    fredObs("IRLTLT01AUM156N"),
+    fredObs("IRLTLT01NZM156N"),
+  ]);
+
+  const yields = { USD: usd, EUR: eur, GBP: gbp, JPY: jpy, CHF: chf, CAD: cad, AUD: aud, NZD: nzd };
+
+  // Compute spreads vs USD
+  const spreads: Record<string, number | null> = {};
+  for (const [ccy, yld] of Object.entries(yields)) {
+    if (ccy === "USD" || yld === null || usd === null) {
+      spreads[ccy] = null;
+    } else {
+      spreads[ccy] = Math.round((yld - usd) * 100); // bps
+    }
+  }
+
+  return NextResponse.json({ yields, spreads, timestamp: Date.now() });
+}
@@ -0,0 +1,19 @@
+@tailwind base;
+@tailwind components;
+@tailwind utilities;
+
+:root {
+  --foreground: #111827;
+  --background: #f9fafb;
+}
+
+body {
+  background: var(--background);
+  color: var(--foreground);
+  font-family: system-ui, -apple-system, sans-serif;
+}
+
+/* Bias badges */
+.badge-bull  { @apply bg-green-100 text-green-800 border border-green-200; }
+.badge-bear  { @apply bg-red-100 text-red-800 border border-red-200; }
+.badge-neutral { @apply bg-gray-100 text-gray-700 border border-gray-200; }
@@ -0,0 +1,15 @@
+import type { Metadata } from "next";
+import "./globals.css";
+
+export const metadata: Metadata = {
+  title: "Forex Macro Dashboard",
+  description: "Tableau de bord macroéconomique Forex — 8 devises majeures",
+};
+
+export default function RootLayout({ children }: { children: React.ReactNode }) {
+  return (
+    <html lang="fr">
+      <body className="min-h-screen bg-gray-50">{children}</body>
+    </html>
+  );
+}
@@ -0,0 +1,148 @@
+"use client";
+
+import { useEffect, useState, useCallback } from "react";
+import { RefreshCw, TrendingUp, AlertTriangle, Zap } from "lucide-react";
+import { CURRENCIES, CURRENCY_META } from "@/lib/constants";
+import type { Currency, DriverData } from "@/lib/types";
+import CurrencyCard from "@/components/CurrencyCard";
+import DriversBar from "@/components/DriversBar";
+
+const REFRESH_MS = parseInt(process.env.NEXT_PUBLIC_REFRESH_INTERVAL_MS ?? "3600000");
+
+export default function Dashboard() {
+  const [drivers, setDrivers] = useState<DriverData | null>(null);
+  const [expectations, setExpectations] = useState<Record<string, unknown> | null>(null);
+  const [yields, setYields] = useState<{ yields: Record<string, number | null>; spreads: Record<string, number | null> } | null>(null);
+  const [lastRefresh, setLastRefresh] = useState<Date>(new Date());
+  const [loading, setLoading] = useState(true);
+  const [activeDivergences, setActiveDivergences] = useState<{ currency: Currency; score: number }[]>([]);
+
+  const refresh = useCallback(async () => {
+    setLoading(true);
+    try {
+      const [driversRes, expectRes, yieldsRes, fxRes] = await Promise.allSettled([
+        fetch("/api/drivers").then((r) => r.json()),
+        fetch("/api/expectations").then((r) => r.json()),
+        fetch("/api/yields").then((r) => r.json()),
+        fetch("/api/fx").then((r) => r.json()),
+      ]);
+
+      if (driversRes.status === "fulfilled") {
+        const driversData = driversRes.value;
+        // Merge DXY from /api/fx into drivers
+        if (fxRes.status === "fulfilled" && fxRes.value?.dxy != null) {
+          driversData.dxy = fxRes.value.dxy;
+        }
+        setDrivers(driversData);
+      }
+      if (expectRes.status === "fulfilled") setExpectations(expectRes.value);
+      if (yieldsRes.status === "fulfilled") setYields(yieldsRes.value);
+      setLastRefresh(new Date());
+    } finally {
+      setLoading(false);
+    }
+  }, []);
+
+  useEffect(() => {
+    refresh();
+    const id = setInterval(refresh, REFRESH_MS);
+    return () => clearInterval(id);
+  }, [refresh]);
+
+  const handleDivergenceUpdate = useCallback((currency: Currency, score: number) => {
+    setActiveDivergences((prev) => {
+      const filtered = prev.filter((d) => d.currency !== currency);
+      if (Math.abs(score) >= 2) return [...filtered, { currency, score }];
+      return filtered;
+    });
+  }, []);
+
+  const divergenceCount = activeDivergences.filter((d) => Math.abs(d.score) >= 2).length;
+
+  return (
+    <div className="max-w-[1600px] mx-auto px-4 py-4">
+      {/* Header */}
+      <header className="flex items-center justify-between mb-4">
+        <div>
+          <h1 className="text-xl font-semibold text-gray-900">
+            Forex Macro Dashboard
+          </h1>
+          <p className="text-xs text-gray-500 mt-0.5">
+            USD · EUR · GBP · JPY · CHF · CAD · AUD · NZD — v8.0
+          </p>
+        </div>
+
+        <div className="flex items-center gap-3">
+          {divergenceCount > 0 && (
+            <div className="flex items-center gap-1.5 bg-amber-50 border border-amber-200 rounded-full px-3 py-1.5">
+              <Zap size={13} className="text-amber-600" />
+              <span className="text-xs font-medium text-amber-700">
+                {divergenceCount} divergence{divergenceCount > 1 ? "s" : ""} active{divergenceCount > 1 ? "s" : ""}
+              </span>
+            </div>
+          )}
+
+          <div className="text-xs text-gray-400">
+            {lastRefresh.toLocaleTimeString("fr-FR", { hour: "2-digit", minute: "2-digit" })}
+          </div>
+
+          <button
+            onClick={refresh}
+            disabled={loading}
+            className="flex items-center gap-1.5 text-xs text-gray-600 hover:text-gray-900 disabled:opacity-50"
+          >
+            <RefreshCw size={13} className={loading ? "animate-spin" : ""} />
+            {loading ? "Chargement…" : "Rafraîchir"}
+          </button>
+        </div>
+      </header>
+
+      {/* Global drivers bar */}
+      {drivers && <DriversBar drivers={drivers} />}
+
+      {/* Active divergences summary */}
+      {activeDivergences.length > 0 && (
+        <div className="mb-4 flex flex-wrap gap-2">
+          {activeDivergences
+            .sort((a, b) => Math.abs(b.score) - Math.abs(a.score))
+            .map(({ currency, score }) => (
+              <div
+                key={currency}
+                className={`flex items-center gap-1 text-xs px-2 py-1 rounded-full border font-medium ${
+                  score < 0
+                    ? "bg-red-50 border-red-200 text-red-700"
+                    : "bg-green-50 border-green-200 text-green-700"
+                }`}
+              >
+                <Zap size={10} />
+                {CURRENCY_META[currency].flag} {currency} SD:{score > 0 ? "+" : ""}{score}
+              </div>
+            ))}
+        </div>
+      )}
+
+      {/* Currency cards grid */}
+      <div className="grid grid-cols-1 sm:grid-cols-2 lg:grid-cols-4 gap-3">
+        {CURRENCIES.map((currency) => (
+          <CurrencyCard
+            key={currency}
+            currency={currency}
+            expectations={expectations}
+            yields={yields}
+            onDivergenceUpdate={handleDivergenceUpdate}
+          />
+        ))}
+      </div>
+
+      {/* Footer */}
+      <footer className="mt-6 text-center text-xs text-gray-400 space-y-1">
+        <p>
+          Sources: FRED · ECB · BoE · BoC · CFTC · Frankfurter · OANDA · investinglive.com
+        </p>
+        <p>
+          LLM: Bytez (Llama 3.1) · Données à titre informatif uniquement — pas de conseil financier
+        </p>
+      </footer>
+    </div>
+  );
+}
@@ -0,0 +1,229 @@
+"use client";
+
+import { useEffect, useState, useCallback } from "react";
+import { TrendingUp, TrendingDown, Minus, ChevronDown, ChevronUp, Loader2 } from "lucide-react";
+import { CURRENCY_META } from "@/lib/constants";
+import { biasLabel, biasColor, calcMacroScore } from "@/lib/scoring";
+import type { Currency, BiasPhase, RateExpectation } from "@/lib/types";
+import NarrativeButton from "./NarrativeButton";
+
+interface Ind { value: number | null; prev: number | null; surprise: number | null; trend: "up"|"down"|"flat"|null; lastUpdated: string | null }
+interface MacroData { currency: string; indicators: Record<string, Ind | null>; fetchedAt: string }
+
+interface Props {
+  currency: Currency;
+  expectations: Record<string, unknown> | null;
+  yields: { yields: Record<string, number | null>; spreads: Record<string, number | null> } | null;
+  onDivergenceUpdate: (currency: Currency, score: number) => void;
+}
+
+const PHASES: Record<BiasPhase, { label: string; color: string }> = {
+  tightening:    { label: "🔴 Resserrement",  color: "text-red-600"    },
+  hawkish_pause: { label: "🟡 Pause Hawkish", color: "text-amber-600"  },
+  easing:        { label: "🟢 Assouplissement", color: "text-green-600" },
+  dovish_pause:  { label: "🔵 Pause Dovish",  color: "text-blue-600"   },
+  transition:    { label: "🟠 Transition",     color: "text-orange-500" },
+};
+
+function TrendIcon({ trend }: { trend: "up"|"down"|"flat"|null }) {
+  if (trend === "up")   return <TrendingUp  size={11} className="text-green-500 flex-shrink-0" />;
+  if (trend === "down") return <TrendingDown size={11} className="text-red-500   flex-shrink-0" />;
+  return <Minus size={11} className="text-gray-300 flex-shrink-0" />;
+}
+
+function Row({ label, ind, unit = "", invertSurprise = false, warn = false, consensus = null }: {
+  label: string; ind: Ind | null; unit?: string; invertSurprise?: boolean; warn?: boolean; consensus?: number | null;
+}) {
+  const value = ind?.value ?? null;
+  const prev  = ind?.prev  ?? null;
+
+  // Colorer la valeur actuelle selon la direction du mouvement
+  const s = ind?.surprise ?? null;
+  const effectiveS = invertSurprise && s !== null ? -s : s;
+  const valCls =
+    effectiveS === null ? "text-gray-800"
+    : effectiveS > 0   ? "text-green-700"
+    : effectiveS < 0   ? "text-red-700"
+    :                    "text-gray-500";
+
+  const fmt = (v: number | null) =>
+    v !== null ? `${v.toFixed(2)}${unit}` : "—";
+
+  return (
+    <div className="py-1.5 border-b border-gray-50 last:border-0">
+      {/* Ligne 1 : label + valeur actuelle publiée */}
+      <div className="flex items-center justify-between gap-2">
+        <div className="flex items-center gap-1.5 min-w-0">
+          <TrendIcon trend={ind?.trend ?? null} />
+          <span className="text-xs text-gray-500 truncate">
+            {label}{warn && <span className="text-amber-400 ml-0.5">⚠</span>}
+          </span>
+        </div>
+        <span className={`text-xs font-semibold tabular-nums flex-shrink-0 ${valCls}`}>
+          {fmt(value)}
+        </span>
+      </div>
+      {/* Ligne 2 : précédent + consensus marché */}
+      <div className="flex items-center justify-between pl-5 mt-0.5">
+        <span className="text-[10px] text-gray-400 tabular-nums">
+          Préc.&nbsp;<span className="text-gray-500 font-medium">{fmt(prev)}</span>
+        </span>
+        <span className="text-[10px] text-gray-400 tabular-nums">
+          Cons.&nbsp;
+          {consensus !== null
+            ? <span className="text-blue-500 font-medium">{fmt(consensus)}</span>
+            : <span className="text-gray-300">—</span>}
+        </span>
+      </div>
+    </div>
+  );
+}
+
+export default function CurrencyCard({ currency, expectations, yields, onDivergenceUpdate }: Props) {
+  const meta   = CURRENCY_META[currency];
+  const [data, setData]     = useState<MacroData | null>(null);
+  const [phase, setPhase]   = useState<BiasPhase>("hawkish_pause");
+  const [loading, setLoading] = useState(true);
+  const [expanded, setExpanded] = useState(false);
+  const [rateExp, setRateExp]   = useState<RateExpectation | null>(null);
+
+  // Single fetch — server batches all FRED calls
+  const load = useCallback(async () => {
+    setLoading(true);
+    try {
+      const res = await fetch(`/api/macro?currency=${currency}`);
+      if (!res.ok) return;
+      const json: MacroData = await res.json();
+      setData(json);
+
+      // Infer phase from policy rate trend
+      const rateInd = json.indicators.policyRate;
+      if (rateInd?.trend === "up")   setPhase("tightening");
+      else if (rateInd?.trend === "down") setPhase("easing");
+      else setPhase("hawkish_pause");
+    } finally {
+      setLoading(false);
+    }
+  }, [currency]);
+
+  useEffect(() => { load(); }, [load]);
+
+  // Match rate expectation for this currency
+  useEffect(() => {
+    if (!expectations) return;
+    const all = [
+      ...((expectations.rate_hikes ?? []) as RateExpectation[]),
+      ...((expectations.rate_cuts  ?? []) as RateExpectation[]),
+    ];
+    const cbShort = meta.cbShort.toLowerCase();
+    setRateExp(all.find((e) => e.cb.toLowerCase().includes(cbShort) || e.cb.toLowerCase().includes(currency.toLowerCase())) ?? null);
+  }, [expectations, currency, meta.cbShort]);
+
+  const inds = data?.indicators;
+
+  // Build a minimal indicator object for scoring
+  const forScoring = {
+    policyRate:   { value: inds?.policyRate?.value ?? null,   prev: inds?.policyRate?.prev ?? null,   consensus: null, surprise: inds?.policyRate?.surprise ?? null,   trend: inds?.policyRate?.trend ?? null,   lastUpdated: "" },
+    cpiCore:      { value: inds?.cpiCore?.value ?? null,      prev: inds?.cpiCore?.prev ?? null,      consensus: null, surprise: inds?.cpiCore?.surprise ?? null,      trend: inds?.cpiCore?.trend ?? null,      lastUpdated: "" },
+    pmiMfg:       { value: null, prev: null, consensus: null, surprise: null, trend: null, lastUpdated: "" },
+    pmiServices:  { value: null, prev: null, consensus: null, surprise: null, trend: null, lastUpdated: "" },
+    gdp:          { value: inds?.gdp?.value ?? null,          prev: inds?.gdp?.prev ?? null,          consensus: null, surprise: inds?.gdp?.surprise ?? null,          trend: inds?.gdp?.trend ?? null,          lastUpdated: "" },
+    retailSales:  { value: inds?.retailSales?.value ?? null,  prev: inds?.retailSales?.prev ?? null,  consensus: null, surprise: inds?.retailSales?.surprise ?? null,  trend: inds?.retailSales?.trend ?? null,  lastUpdated: "" },
+    unemployment: { value: inds?.unemployment?.value ?? null, prev: inds?.unemployment?.prev ?? null, consensus: null, surprise: inds?.unemployment?.surprise ?? null, trend: inds?.unemployment?.trend ?? null, lastUpdated: "" },
+    employment:   { value: inds?.employment?.value ?? null,   prev: inds?.employment?.prev ?? null,   consensus: null, surprise: inds?.employment?.surprise ?? null,   trend: inds?.employment?.trend ?? null,   lastUpdated: "" },
+  };
+
+  const macroScore = calcMacroScore(forScoring, phase);
+  const biasText   = biasLabel(macroScore);
+  const biasCls    = biasColor(macroScore);
+  const phaseInfo  = PHASES[phase];
+  const yield10Y   = yields?.yields[currency] ?? null;
+  const spread10Y  = yields?.spreads[currency] ?? null;
+  const borderCls  = macroScore >= 4 ? "border-green-200" : macroScore <= -4 ? "border-red-200" : "border-gray-200";
+
+  return (
+    <div className={`bg-white border rounded-xl overflow-hidden ${borderCls}`}>
+      {/* Header */}
+      <div className="px-4 pt-3 pb-2">
+        <div className="flex items-center justify-between mb-1">
+          <div className="flex items-center gap-2">
+            <span className="text-2xl leading-none">{meta.flag}</span>
+            <div>
+              <div className="font-semibold text-sm text-gray-900">{currency}</div>
+              <div className="text-[10px] text-gray-400">{meta.cbShort} · {meta.name}</div>
+            </div>
+          </div>
+          <div className="text-right">
+            {loading
+              ? <Loader2 size={15} className="animate-spin text-gray-300" />
+              : <>
+                  <div className={`text-sm font-bold ${biasCls}`}>{biasText}</div>
+                  <div className="text-[10px] text-gray-400">Score : {macroScore > 0 ? "+" : ""}{macroScore}</div>
+                </>
+            }
+          </div>
+        </div>
+        <div className={`text-[10px] font-medium ${phaseInfo.color}`}>{phaseInfo.label}</div>
+      </div>
+
+      {/* Rate expectation pill */}
+      {rateExp && (
+        <div className="mx-4 mb-2 px-3 py-1.5 bg-gray-50 rounded-lg text-xs leading-snug">
+          <span className="font-semibold">{rateExp.direction === "hike" ? "▲" : "▼"} {rateExp.bps} bps</span>
+          <span className="relative group inline-flex items-center ml-0.5 cursor-help align-middle">
+            <span className="text-[9px] text-gray-400 border border-gray-300 rounded-full w-3 h-3 flex items-center justify-center leading-none select-none">i</span>
+            <span className="pointer-events-none absolute bottom-full left-0 mb-1.5 hidden group-hover:block bg-gray-800 text-white text-[10px] rounded px-2 py-1.5 w-56 z-50 leading-snug shadow-lg whitespace-normal">
+              Variation cumulée attendue sur les ~12 prochains mois selon les marchés (OIS / futures de taux). Distinct de la probabilité à la prochaine réunion ci-dessous.
+            </span>
+          </span>
+          <span className="text-gray-500"> · {rateExp.prob_pct}% prob. </span>
+          <span className={`font-medium ${rateExp.prob_desc.includes("no change") || rateExp.prob_desc.includes("sans") ? "text-gray-600" : rateExp.direction === "hike" ? "text-red-600" : "text-green-600"}`}>
+            {rateExp.prob_desc}
+          </span>
+        </div>
+      )}
+
+      {/* Core indicators (always visible) */}
+      <div className="px-4 pb-2">
+        <Row label="Taux directeur" ind={inds?.policyRate   ?? null} unit="%" />
+        <Row label="CPI (MoM%)"      ind={inds?.cpiCore     ?? null} unit="%" />
+        <Row label="PIB (QoQ %)"    ind={inds?.gdp         ?? null} unit="%" />
+        <Row label="Chômage"        ind={inds?.unemployment ?? null} unit="%" invertSurprise />
+
+        {/* Expanded indicators */}
+        {expanded && (
+          <>
+            <Row label="PMI Mfg"      ind={null}                          warn />
+            <Row label="PMI Services" ind={null}                          warn />
+            <Row label="Retail Sales" ind={inds?.retailSales  ?? null}   unit="%" warn={!inds?.retailSales} />
+            <Row label="Emploi (MoM%)" ind={inds?.employment   ?? null} unit="%" warn={!inds?.employment} />
+            {/* 10Y yield */}
+            <div className="flex items-center justify-between py-1.5 text-xs">
+              <span className="text-gray-500">10Y Yield</span>
+              <span className="font-semibold text-gray-800 tabular-nums">
+                {yield10Y !== null ? `${yield10Y.toFixed(2)}%` : "—"}
+                {spread10Y !== null && (
+                  <span className={`ml-1 text-[10px] ${spread10Y > 0 ? "text-green-600" : "text-red-600"}`}>
+                    ({spread10Y > 0 ? "+" : ""}{spread10Y}bps)
+                  </span>
+                )}
+              </span>
+            </div>
+          </>
+        )}
+      </div>
+
+      {/* Footer */}
+      <div className="border-t border-gray-100 px-4 py-2 flex items-center justify-between">
+        <NarrativeButton currency={currency} indicators={forScoring} macroScore={macroScore} />
+        <button
+          onClick={() => setExpanded((e) => !e)}
+          className="flex items-center gap-1 text-[10px] text-gray-400 hover:text-gray-600"
+        >
+          {expanded ? <ChevronUp size={11} /> : <ChevronDown size={11} />}
+          {expanded ? "Moins" : "Détails"}
+        </button>
+      </div>
+    </div>
+  );
+}
@@ -0,0 +1,152 @@
+"use client";
+
+import type { DriverData } from "@/lib/types";
+
+interface Props { drivers: DriverData }
+
+// ── Helpers ───────────────────────────────────────────────────────────────────
+
+function fmt(v: number | null, dec: number, unit = "") {
+  if (v === null) return "—";
+  return `${v.toLocaleString("fr-FR", { minimumFractionDigits: dec, maximumFractionDigits: dec })}${unit}`;
+}
+
+function DeltaTag({ delta, pct = false, dec = 2 }: { delta: number | null; pct?: boolean; dec?: number }) {
+  if (delta === null) return null;
+  const pos = delta > 0;
+  const neg = delta < 0;
+  const color = pos ? "text-emerald-600" : neg ? "text-red-500" : "text-gray-400";
+  const arrow = pos ? "▲" : neg ? "▼" : "▬";
+  return (
+    <span className={`text-[10px] font-medium tabular-nums ml-0.5 ${color}`}>
+      {arrow}{Math.abs(delta).toFixed(dec)}{pct ? "%" : ""}
+    </span>
+  );
+}
+
+/** Un indicateur : label · valeur · delta — hauteur fixe garantie */
+function M({
+  label, value, dec = 2, unit = "", delta, deltaPct, deltaDec, tooltip,
+}: {
+  label:     string;
+  value:     number | null;
+  dec?:      number;
+  unit?:     string;
+  delta?:    number | null;
+  deltaPct?: boolean;
+  deltaDec?: number;
+  tooltip?:  string;
+}) {
+  const labelNode = tooltip ? (
+    <span className="relative group inline-block">
+      <span className="text-[9px] text-gray-400 border-b border-dotted border-gray-300 cursor-help whitespace-nowrap leading-tight">
+        {label}
+      </span>
+      <span className="pointer-events-none absolute bottom-full left-1/2 -translate-x-1/2 mb-2 hidden group-hover:block bg-gray-800 text-white text-[10px] rounded px-2 py-1.5 w-56 z-50 leading-snug shadow-lg whitespace-normal text-left">
+        {tooltip}
+      </span>
+    </span>
+  ) : (
+    <span className="text-[9px] text-gray-400 whitespace-nowrap leading-tight">{label}</span>
+  );
+
+  return (
+    <div className="flex flex-col items-center text-center flex-shrink-0">
+      {/* Ligne 1 — label */}
+      <div className="h-4 flex items-center justify-center">{labelNode}</div>
+      {/* Ligne 2 — valeur */}
+      <div className="h-5 flex items-center justify-center">
+        <span className={`text-sm font-semibold tabular-nums ${value === null ? "text-gray-300" : "text-gray-800"}`}>
+          {fmt(value, dec, unit)}
+        </span>
+      </div>
+      {/* Ligne 3 — delta (slot réservé = alignement garanti) */}
+      <div className="h-4 flex items-center justify-center">
+        {delta !== undefined && delta !== null && (
+          <DeltaTag delta={delta} pct={deltaPct} dec={deltaDec ?? dec} />
+        )}
+      </div>
+    </div>
+  );
+}
+
+/** Séparateur vertical */
+function VSep() {
+  return <div className="w-px bg-gray-100 self-stretch mx-2 flex-shrink-0" />;
+}
+
+// ── Composant principal ───────────────────────────────────────────────────────
+
+export default function DriversBar({ drivers }: Props) {
+  const {
+    vix, vixDelta,
+    sp500, sp500ChangePct,
+    btc, btcChange24h,
+    hySpread, igSpread,
+    us10y, curveSlope,
+    gold, goldDelta,
+    silver, silverDelta,
+    brent, brentDelta,
+    wti, wtiDelta,
+  } = drivers as DriverData & { dxy?: number | null };
+
+  const dxy    = (drivers as DriverData & { dxy?: number | null }).dxy ?? null;
+  const riskOff = (vix ?? 0) > 25 || (hySpread ?? 0) > 500;
+
+  return (
+    <div className="mb-4 bg-white border border-gray-200 rounded-xl px-5 py-3">
+
+      {/* En-tête */}
+      <div className="flex items-center justify-between mb-2">
+        <span className="text-[9px] font-semibold text-gray-400 uppercase tracking-widest">
+          Drivers globaux
+        </span>
+        {riskOff && (
+          <span className="text-[9px] font-medium bg-red-50 text-red-600 border border-red-200 rounded-full px-2 py-0.5">
+            ⚠ Risk-Off
+          </span>
+        )}
+      </div>
+
+      {/* ── Ligne unique — tous les indicateurs ── */}
+      <div className="flex items-start gap-4 overflow-x-auto pb-0.5">
+
+        {/* Sentiment / Risk-On */}
+        <M label="VIX"     value={vix}   dec={1} delta={vixDelta}       deltaDec={1} />
+        <M label="S&P 500" value={sp500} dec={0} delta={sp500ChangePct} deltaPct deltaDec={2} />
+        <M label="Bitcoin" value={btc}   dec={0} unit=" $" delta={btcChange24h} deltaPct deltaDec={2} />
+
+        <VSep />
+
+        {/* Crédit */}
+        <M
+          label="HY Spread" value={hySpread} dec={0} unit=" bps"
+          tooltip="High Yield spread : écart entre les obligations d'entreprises à haut risque (< BBB) et les Treasuries US. >500 bps = signal risk-off fort."
+        />
+        <M
+          label="IG Spread" value={igSpread} dec={0} unit=" bps"
+          tooltip="Investment Grade spread : écart entre les obligations bien notées (BBB+) et les Treasuries US. Mesure le coût du crédit des grandes entreprises."
+        />
+
+        <VSep />
+
+        {/* Taux & FX */}
+        <M label="DXY"    value={dxy}        dec={2} />
+        <M label="US 10Y" value={us10y}       dec={2} unit="%" />
+        <M
+          label="Crb 2-10" value={curveSlope} dec={0} unit=" bps"
+          tooltip="Spread US 10Y − US 2Y. Positif = courbe normale. Négatif = courbe inversée (signal récessif historiquement, se matérialise ~12–18 mois après)."
+        />
+
+        <VSep />
+
+        {/* Commodités */}
+        <M label="Or $/oz"     value={gold}   dec={0} delta={goldDelta}   deltaDec={1} />
+        <M label="Argent $/oz" value={silver} dec={2} delta={silverDelta} deltaDec={2} />
+        <M label="Brent $/b"   value={brent}  dec={1} delta={brentDelta}  deltaDec={1} />
+        <M label="WTI $/b"     value={wti}    dec={1} delta={wtiDelta}    deltaDec={1} />
+
+      </div>
+    </div>
+  );
+}
@@ -0,0 +1,84 @@
+"use client";
+
+import { useState } from "react";
+import { Sparkles, X } from "lucide-react";
+import type { Currency, CurrencyIndicators } from "@/lib/types";
+
+interface Props {
+  currency: Currency;
+  indicators: CurrencyIndicators;
+  macroScore: number;
+}
+
+export default function NarrativeButton({ currency, indicators, macroScore }: Props) {
+  const [open, setOpen] = useState(false);
+  const [analysis, setAnalysis] = useState<string | null>(null);
+  const [loading, setLoading] = useState(false);
+  const [error, setError] = useState<string | null>(null);
+
+  const run = async () => {
+    setLoading(true);
+    setError(null);
+    try {
+      const res = await fetch("/api/narrative", {
+        method: "POST",
+        headers: { "Content-Type": "application/json" },
+        body: JSON.stringify({
+          mode: "summary",
+          currency,
+          data: { indicators, macroScore },
+        }),
+      });
+      const data = await res.json();
+      if (data.error) throw new Error(data.error);
+      setAnalysis(data.analysis);
+      setOpen(true);
+    } catch (err) {
+      setError(String(err));
+    } finally {
+      setLoading(false);
+    }
+  };
+
+  return (
+    <>
+      <button
+        onClick={run}
+        disabled={loading}
+        className="flex items-center gap-1 text-[10px] text-indigo-600 hover:text-indigo-800 disabled:opacity-50"
+      >
+        <Sparkles size={11} />
+        {loading ? "Analyse…" : "Résumé IA"}
+      </button>
+
+      {error && (
+        <span className="text-[10px] text-red-500 truncate max-w-[140px]" title={error}>
+          Erreur Bytez
+        </span>
+      )}
+
+      {open && analysis && (
+        <div className="fixed inset-0 z-50 flex items-center justify-center bg-black/30 p-4" onClick={() => setOpen(false)}>
+          <div
+            className="bg-white rounded-xl shadow-xl max-w-sm w-full p-5"
+            onClick={(e) => e.stopPropagation()}
+          >
+            <div className="flex items-center justify-between mb-3">
+              <div className="flex items-center gap-2">
+                <Sparkles size={15} className="text-indigo-500" />
+                <span className="font-medium text-sm">Analyse {currency} — Bytez AI</span>
+              </div>
+              <button onClick={() => setOpen(false)} className="text-gray-400 hover:text-gray-700">
+                <X size={15} />
+              </button>
+            </div>
+            <p className="text-sm text-gray-700 leading-relaxed whitespace-pre-wrap">{analysis}</p>
+            <div className="mt-3 text-[10px] text-gray-400 text-right">
+              Powered by Bytez · Llama 3.1 8B
+            </div>
+          </div>
+        </div>
+      )}
+    </>
+  );
+}
@@ -0,0 +1,133 @@
+[
+  {
+    "url": "https://investinglive.com/centralbank/how-have-interest-rate-expectations-changed-after-this-weeks-events-20260522/",
+    "title": "How have interest rate expectations changed after this week's events?",
+    "date": "2026-05-22",
+    "scraped_at": "2026-05-26T11:11:02.377436Z",
+    "rate_cuts": [],
+    "rate_hikes": [
+      {
+        "cb": "RBNZ (NZD)",
+        "bps": 76,
+        "prob_pct": 70,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "ECB (EUR)",
+        "bps": 64,
+        "prob_pct": 88,
+        "prob_desc": "rate hike at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoE (GBP)",
+        "bps": 48,
+        "prob_pct": 83,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoJ (JPY)",
+        "bps": 46,
+        "prob_pct": 75,
+        "prob_desc": "rate hike at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoC (CAD)",
+        "bps": 41,
+        "prob_pct": 99,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "RBA (AUD)",
+        "bps": 25,
+        "prob_pct": 88,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "Fed (USD)",
+        "bps": 20,
+        "prob_pct": 99,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "SNB (CHF)",
+        "bps": 19,
+        "prob_pct": 98,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      }
+    ]
+  },
+  {
+    "url": "https://investinglive.com/centralbank/how-have-interest-rate-expectations-changed-after-the-ceasefire-announcement-20260409/",
+    "title": "How have interest rate expectations changed after the ceasefire announcement?",
+    "date": "2026-04-09",
+    "scraped_at": "2026-05-26T11:11:02.377537Z",
+    "rate_cuts": [
+      {
+        "cb": "Fed (USD)",
+        "bps": 7,
+        "prob_pct": 98,
+        "prob_desc": "no change at the next meeting",
+        "direction": "cut"
+      }
+    ],
+    "rate_hikes": [
+      {
+        "cb": "RBNZ (NZD)",
+        "bps": 74,
+        "prob_pct": 70,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "ECB (EUR)",
+        "bps": 59,
+        "prob_pct": 60,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "RBA (AUD)",
+        "bps": 50,
+        "prob_pct": 60,
+        "prob_desc": "rate hike at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoJ (JPY)",
+        "bps": 50,
+        "prob_pct": 51,
+        "prob_desc": "rate hike at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoE (GBP)",
+        "bps": 40,
+        "prob_pct": 78,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "BoC (CAD)",
+        "bps": 35,
+        "prob_pct": 93,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      },
+      {
+        "cb": "SNB (CHF)",
+        "bps": 21,
+        "prob_pct": 83,
+        "prob_desc": "no change at the next meeting",
+        "direction": "hike"
+      }
+    ]
+  }
+]
@@ -0,0 +1,123 @@
+import type { Currency } from "./types";
+
+export const CURRENCIES: Currency[] = ["USD", "EUR", "GBP", "JPY", "CHF", "CAD", "AUD", "NZD"];
+
+export const CURRENCY_META: Record<Currency, { name: string; flag: string; cb: string; cbShort: string }> = {
+  USD: { name: "États-Unis",    flag: "🇺🇸", cb: "Federal Reserve",  cbShort: "Fed"  },
+  EUR: { name: "Zone Euro",     flag: "🇪🇺", cb: "Banque Centrale Européenne", cbShort: "BCE" },
+  GBP: { name: "Royaume-Uni",  flag: "🇬🇧", cb: "Bank of England",  cbShort: "BoE"  },
+  JPY: { name: "Japon",        flag: "🇯🇵", cb: "Bank of Japan",    cbShort: "BoJ"  },
+  CHF: { name: "Suisse",       flag: "🇨🇭", cb: "Banque Nationale Suisse", cbShort: "BNS" },
+  CAD: { name: "Canada",       flag: "🇨🇦", cb: "Bank of Canada",   cbShort: "BoC"  },
+  AUD: { name: "Australie",    flag: "🇦🇺", cb: "Reserve Bank of Australia", cbShort: "RBA" },
+  NZD: { name: "Nouvelle-Zélande", flag: "🇳🇿", cb: "Reserve Bank of New Zealand", cbShort: "RBNZ" },
+};
+
+// FRED series IDs — corrections audit 2026-05-26
+// null = série inexistante ou stale sur FRED → source alternative dans /api/macro
+export const FRED_SERIES: Record<Currency, {
+  policyRate:   string | null;
+  cpiCore:      string | null;
+  gdp:          string | null;
+  retailSales:  string | null;
+  unemployment: string | null;
+  employment:   string | null;
+}> = {
+  USD: {
+    policyRate:   "FEDFUNDS",
+    cpiCore:      "CPILFESL",
+    gdp:          "GDPC1",
+    retailSales:  "MARTSSM44W72USS",   // correction : ex-RSXFS (discontinuée)
+    unemployment: "UNRATE",
+    employment:   "PAYEMS",
+  },
+  EUR: {
+    policyRate:   "ECBDFR",            // ECB deposit rate — disponible sur FRED
+    cpiCore:      null,                 // CP0000EZ20M086NEST n'existe pas sur FRED → ECB API
+    gdp:          null,                 // CLVMNACSCAB1GQEA20 n'existe pas sur FRED → Eurostat
+    retailSales:  "SLRTTO01DEM189S",   // proxy Allemagne — OK sur FRED
+    unemployment: null,                 // LRHUTTTTEZM156S arrêtée 2023 → Eurostat
+    employment:   null,
+  },
+  GBP: {
+    policyRate:   null,                 // BoE API (IUDBEDR) — séries OECD FRED stale
+    cpiCore:      "GBRCPIALLMINMEI",   // OK — mars 2025
+    gdp:          "CLVMNACSCAB1GQGB",
+    retailSales:  "SLRTTO01GBM189S",
+    unemployment: "LRHUTTTTGBM156S",
+    employment:   "LNEMNACSCAB1GQGB",
+  },
+  JPY: {
+    policyRate:   "IRSTCB01JPM156N",
+    cpiCore:      "JPNCPIALLMINMEI",   // correction : JPNCPICORMINMEI arrêtée 2021 → All Items
+    gdp:          "JPNRGDPEXP",
+    retailSales:  null,                  // METI Japan CSV — pas sur FRED
+    unemployment: "LRHUTTTTJPM156S",
+    employment:   null,
+  },
+  CHF: {
+    policyRate:   "IRSTCB01CHM156N",
+    cpiCore:      "CHECPICORMINMEI",   // OK — avr 2025
+    gdp:          "CHNGDPNQDSMEI",
+    retailSales:  null,                  // OFS Suisse CSV
+    unemployment: "LRHUTTTTCHM156S",
+    employment:   null,
+  },
+  CAD: {
+    policyRate:   "IRSTCB01CAM156N",
+    cpiCore:      "CANCPICORMINMEI",   // OK — mars 2025
+    gdp:          "CLVMNACSCAB1GQCA",
+    retailSales:  "SLRTTO01CAM189S",
+    unemployment: "LRHUTTTTCAM156S",
+    employment:   null,
+  },
+  AUD: {
+    policyRate:   "IRSTCB01AUM156N",
+    cpiCore:      "AUSCPIALLMINMEI",   // trimestriel — pas d'alternative mensuelle FRED
+    gdp:          "CLVMNACSCAB1GQAU",
+    retailSales:  "SLRTTO01AUM189S",
+    unemployment: "LRHUTTTTAUM156S",
+    employment:   "LNEMNACSCAB1GQAU",
+  },
+  NZD: {
+    policyRate:   "IRSTCB01NZM156N",
+    cpiCore:      "NZLCPIALLMINMEI",   // trimestriel
+    gdp:          "CLVMNACSCAB1GQNZ",
+    retailSales:  null,                  // Stats NZ API trimestriel
+    unemployment: "LRUNTTTTNZQ156S",   // correction : ex-LRHUTTTTNZM156S (inexistante)
+    employment:   null,
+  },
+};
+
+// COT CFTC contract codes per currency
+export const COT_CODES: Record<Currency, string> = {
+  USD: "098662",  // USD Index DX
+  EUR: "099741",  // Euro FX EC
+  GBP: "096742",  // British Pound BP
+  JPY: "097741",  // Japanese Yen JY
+  CHF: "092741",  // Swiss Franc SF
+  CAD: "090741",  // Canadian Dollar CD
+  AUD: "232741",  // Australian Dollar AD
+  NZD: "112741",  // New Zealand Dollar NE
+};
+
+// Scoring weights per indicator (§4 CDC)
+export const INDICATOR_WEIGHTS = {
+  policyRate:   3,
+  cpiCore:      2.5,
+  pmiMfg:       1.5,
+  pmiServices:  1.5,
+  gdp:          2,
+  retailSales:  1.5,
+  unemployment: 1.5,
+  employment:   2,
+} as const;
+
+// Cycle phase multipliers (§4c CDC)
+export const PHASE_MULTIPLIERS: Record<string, { bull: number; bear: number }> = {
+  tightening:    { bull: 1.5, bear: 1.0 },
+  hawkish_pause: { bull: 1.3, bear: 1.5 },
+  easing:        { bull: 1.0, bear: 1.5 },
+  dovish_pause:  { bull: 1.5, bear: 1.0 },
+  transition:    { bull: 1.0, bear: 1.0 },
+};
@@ -0,0 +1,102 @@
+import type { CurrencyIndicators, BiasPhase, COTData, STIRData, Bond10YData } from "./types";
+import { INDICATOR_WEIGHTS, PHASE_MULTIPLIERS } from "./constants";
+
+function signalFromSurprise(surprise: number | null): number {
+  if (surprise === null) return 0;
+  if (surprise > 0.3) return 1;
+  if (surprise < -0.3) return -1;
+  return 0;
+}
+
+// §4 macro score: -16 to +16
+export function calcMacroScore(
+  indicators: CurrencyIndicators,
+  phase: BiasPhase
+): number {
+  const mult = PHASE_MULTIPLIERS[phase] ?? PHASE_MULTIPLIERS.transition;
+
+  const signals: { key: keyof typeof INDICATOR_WEIGHTS; signal: number }[] = [
+    { key: "policyRate",   signal: signalFromSurprise(indicators.policyRate.surprise) },
+    { key: "cpiCore",      signal: signalFromSurprise(indicators.cpiCore.surprise) },
+    { key: "pmiMfg",       signal: indicators.pmiMfg.value !== null ? (indicators.pmiMfg.value > 50 ? 1 : -1) : 0 },
+    { key: "pmiServices",  signal: indicators.pmiServices.value !== null ? (indicators.pmiServices.value > 50 ? 1 : -1) : 0 },
+    { key: "gdp",          signal: signalFromSurprise(indicators.gdp.surprise) },
+    { key: "retailSales",  signal: signalFromSurprise(indicators.retailSales.surprise) },
+    { key: "unemployment", signal: signalFromSurprise(indicators.unemployment.surprise) * -1 }, // inversion : chômage bas = haussier
+    { key: "employment",   signal: signalFromSurprise(indicators.employment.surprise) },
+  ];
+
+  let total = 0;
+  for (const { key, signal } of signals) {
+    const weight = INDICATOR_WEIGHTS[key];
+    const multiplier = signal > 0 ? mult.bull : signal < 0 ? mult.bear : 1;
+    total += signal * weight * multiplier;
+  }
+
+  return Math.round(Math.max(-16, Math.min(16, total)));
+}
+
+// §6.5 divergence score: -5 to +5
+export function calcDivergenceScore(params: {
+  retailLongPct: number | null;
+  cotPercentile: number | null;
+  cotDeltaWoW: number | null;
+  stirDeltaWoW: number | null;
+  bondSpreadDeltaWoW: number | null;
+  macroScore: number;
+}): number {
+  const { retailLongPct, cotPercentile, cotDeltaWoW, stirDeltaWoW, bondSpreadDeltaWoW, macroScore } = params;
+  let sd = 0;
+
+  // Retail vs STIR
+  if (retailLongPct !== null && stirDeltaWoW !== null) {
+    if (retailLongPct > 70 && stirDeltaWoW < -0.5) sd -= 1; // retail long + STIR dovish
+    if (retailLongPct < 30 && stirDeltaWoW > 0.5)  sd += 1; // retail short + STIR hawkish
+  }
+
+  // Retail vs Bonds 10Y
+  if (retailLongPct !== null && bondSpreadDeltaWoW !== null) {
+    if (retailLongPct > 70 && bondSpreadDeltaWoW < -5)  sd -= 1;
+    if (retailLongPct < 30 && bondSpreadDeltaWoW > 5)   sd += 1;
+  }
+
+  // COT vs Retail
+  if (cotPercentile !== null && cotDeltaWoW !== null && retailLongPct !== null) {
+    const cotBearish = cotPercentile < 50 || cotDeltaWoW < 0;
+    const cotBullish = cotPercentile > 50 && cotDeltaWoW > 0;
+    if (cotBearish && retailLongPct > 60)  sd -= 1;
+    if (cotBullish && retailLongPct < 40)  sd += 1;
+  }
+
+  // COT vs STIR
+  if (cotDeltaWoW !== null && stirDeltaWoW !== null) {
+    if (cotDeltaWoW > 0 && stirDeltaWoW < -0.5)  sd -= 0.5;
+    if (cotDeltaWoW < 0 && stirDeltaWoW > 0.5)   sd += 0.5;
+  }
+
+  // STIR vs Bonds (yield curve coherence)
+  if (stirDeltaWoW !== null && bondSpreadDeltaWoW !== null) {
+    if (stirDeltaWoW < -0.5 && bondSpreadDeltaWoW > 5)  sd -= 0.5; // dovish short, hawkish long
+    if (stirDeltaWoW > 0.5 && bondSpreadDeltaWoW < -5)  sd += 0.5;
+  }
+
+  // Retail extreme vs macro
+  if (retailLongPct !== null) {
+    if (retailLongPct > 80 && macroScore <= -2) sd -= 1;
+    if (retailLongPct < 20 && macroScore >= 2)  sd += 1;
+  }
+
+  return Math.round(Math.max(-5, Math.min(5, sd)));
+}
+
+export function biasLabel(score: number): "ACHETEUR" | "NEUTRE" | "VENDEUR" {
+  if (score >= 4)  return "ACHETEUR";
+  if (score <= -4) return "VENDEUR";
+  return "NEUTRE";
+}
+
+export function biasColor(score: number): string {
+  if (score >= 4)  return "text-green-600";
+  if (score <= -4) return "text-red-600";
+  return "text-gray-500";
+}
@@ -0,0 +1,138 @@
+export type Currency = "USD" | "EUR" | "GBP" | "JPY" | "CHF" | "CAD" | "AUD" | "NZD";
+
+export type BiasPhase = "tightening" | "hawkish_pause" | "easing" | "dovish_pause" | "transition";
+
+export interface Indicator {
+  value: number | null;
+  prev: number | null;
+  consensus: number | null;
+  surprise: number | null;
+  trend: "up" | "down" | "flat" | null;
+  lastUpdated: string;
+}
+
+export interface RateExpectation {
+  cb: string;
+  bps: number;
+  prob_pct: number;
+  prob_desc: string;
+  direction: "cut" | "hike";
+}
+
+export interface CurrencyIndicators {
+  policyRate: Indicator;
+  cpiCore: Indicator;
+  pmiMfg: Indicator;
+  pmiServices: Indicator;
+  gdp: Indicator;
+  retailSales: Indicator;
+  unemployment: Indicator;
+  employment: Indicator;
+}
+
+export interface COTData {
+  netContracts: number;
+  deltaWoW: number;
+  percentile52w: number;
+  signal: "bullish" | "bearish" | "contrarian_bullish" | "contrarian_bearish" | "neutral";
+  history: { weekEnding: string; net: number }[];
+}
+
+export interface RetailSentimentPair {
+  pair: string;
+  longPct: number;
+  shortPct: number;
+  change24h: number;
+  source: string;
+  signal: "contrarian_bearish" | "contrarian_bullish" | "neutral";
+}
+
+export interface STIRData {
+  instrument: string;
+  impliedRates: { tenor: string; rate: number }[];
+  cutsHikes12M: number;
+  deltaWoW: number;
+  signal: "bullish" | "bearish" | "neutral";
+  lastUpdated: string;
+}
+
+export interface Bond10YData {
+  yield: number;
+  deltaWoW_bps: number;
+  spreadVsUST_bps: number | null;
+  deltaSpreadWoW_bps: number | null;
+  inverted: boolean;
+  signal: "bullish" | "bearish" | "neutral";
+  lastUpdated: string;
+}
+
+export interface DivergenceEvent {
+  type: string;
+  intensity: 1 | 2 | 3;
+  detectedAt: string;
+  persisting: boolean;
+  persistingDays: number;
+}
+
+export interface CurrencyData {
+  currency: Currency;
+  name: string;
+  flag: string;
+  centralBank: string;
+  phase: BiasPhase;
+  indicators: CurrencyIndicators;
+  score: {
+    macro: number;
+    drivers: number;
+    divergence: number;
+  };
+  cot: COTData | null;
+  retailSentiment: {
+    pairs: RetailSentimentPair[];
+    aggregatedLongPct: number;
+    aggregatedSignal: RetailSentimentPair["signal"];
+  } | null;
+  stir: STIRData | null;
+  bond10Y: Bond10YData | null;
+  divergences: {
+    score: number;
+    active: DivergenceEvent[];
+  };
+  rateExpectations: RateExpectation | null;
+  lastUpdated: string;
+}
+
+export interface DriverData {
+  // Sentiment / Risk-On
+  vix:            number | null;
+  vixDelta:       number | null;   // pts vs séance précédente
+  sp500:          number | null;   // prix SPY (ETF S&P 500)
+  sp500Change:    number | null;   // pts vs clôture j-1
+  sp500ChangePct: number | null;   // % vs clôture j-1
+  btc:            number | null;   // BTC/USD
+  btcChange24h:   number | null;   // % variation 24h (CoinGecko)
+  // Crédit
+  hySpread: number | null;
+  igSpread: number | null;
+  // Taux & FX
+  dxy:        number | null;
+  us10y:      number | null;
+  us2y:       number | null;
+  curveSlope: number | null;
+  // Commodités (avec delta vs session précédente)
+  gold:        number | null;
+  goldDelta:   number | null;
+  silver:      number | null;
+  silverDelta: number | null;
+  brent:       number | null;
+  brentDelta:  number | null;
+  wti:         number | null;
+  wtiDelta:    number | null;
+  // Compat
+  copper: number | null;
+}
+
+export interface FXRates {
+  [pair: string]: number;
+  timestamp: number;
+}
@@ -0,0 +1,5 @@
+/// <reference types="next" />
+/// <reference types="next/image-types/global" />
+
+// NOTE: This file should not be edited
+// see https://nextjs.org/docs/basic-features/typescript for more information.
@@ -0,0 +1,8 @@
+/** @type {import('next').NextConfig} */
+const nextConfig = {
+  experimental: {
+    serverComponentsExternalPackages: ["papaparse"],
+  },
+};
+
+export default nextConfig;
@@ -0,0 +1,35 @@
+{
+  "name": "forex-dashboard",
+  "version": "0.1.0",
+  "private": true,
+  "scripts": {
+    "dev": "next dev",
+    "build": "next build",
+    "start": "next start",
+    "lint": "next lint"
+  },
+  "dependencies": {
+    "next": "14.2.5",
+    "react": "^18",
+    "react-dom": "^18",
+    "openai": "^4.52.7",
+    "recharts": "^2.12.7",
+    "lucide-react": "^0.400.0",
+    "papaparse": "^5.4.1",
+    "date-fns": "^3.6.0",
+    "clsx": "^2.1.1",
+    "tailwind-merge": "^2.4.0"
+  },
+  "devDependencies": {
+    "typescript": "^5",
+    "@types/node": "^20",
+    "@types/react": "^18",
+    "@types/react-dom": "^18",
+    "@types/papaparse": "^5.3.14",
+    "tailwindcss": "^3.4.1",
+    "postcss": "^8",
+    "autoprefixer": "^10.0.1",
+    "eslint": "^8",
+    "eslint-config-next": "14.2.5"
+  }
+}
@@ -0,0 +1,8 @@
+const config = {
+  plugins: {
+    tailwindcss: {},
+    autoprefixer: {},
+  },
+};
+
+export default config;
@@ -0,0 +1,344 @@
+"""
+Scraper — Giuseppe Dellamotta / investinglive.com
+Cible : articles "Rate hikes by year-end" publiés périodiquement (~mensuel)
+Auteur  : Claude (Anthropic) — usage personnel
+
+Usage :
+    python investinglive_scraper.py                  # scrape les N derniers articles détectés
+    python investinglive_scraper.py --url <URL>       # scrape un article spécifique
+    python investinglive_scraper.py --output json     # sortie JSON (défaut : tableau console)
+    python investinglive_scraper.py --output json --save expectations.json
+
+Stratégie de découverte d'articles :
+    1. Page auteur Giuseppe Dellamotta
+    2. Catégorie CentralBanks
+    3. Google Search comme fallback
+    Les articles contenant "Rate hikes by year-end" dans le corps sont sélectionnés.
+"""
+
+import requests
+from bs4 import BeautifulSoup
+import re
+import json
+import argparse
+import time
+import sys
+from datetime import datetime
+from urllib.parse import urljoin
+
+# ── Configuration ──────────────────────────────────────────────────────────────
+
+BASE_URL = "https://investinglive.com"
+AUTHOR_URL = f"{BASE_URL}/author/giuseppe-dellamotta/"
+CATEGORY_URL = f"{BASE_URL}/CentralBanks"
+
+KEYWORD = "Rate hikes by year-end"   # mot-clé discriminant
+MAX_ARTICLES = 10                     # nb max d'articles à scanner pour trouver les N derniers
+
+# Headers navigateur réaliste (Chrome 124, Windows)
+HEADERS = {
+    "User-Agent": (
+        "Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
+        "AppleWebKit/537.36 (KHTML, like Gecko) "
+        "Chrome/124.0.0.0 Safari/537.36"
+    ),
+    "Accept": (
+        "text/html,application/xhtml+xml,application/xml;"
+        "q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8"
+    ),
+    "Accept-Language": "fr-FR,fr;q=0.9,en-US;q=0.8,en;q=0.7",
+    "Accept-Encoding": "gzip, deflate, br",
+    "Connection": "keep-alive",
+    "Upgrade-Insecure-Requests": "1",
+    "Sec-Fetch-Dest": "document",
+    "Sec-Fetch-Mode": "navigate",
+    "Sec-Fetch-Site": "none",
+    "Sec-Fetch-User": "?1",
+}
+
+REQUEST_DELAY = 1.5   # secondes entre requêtes (politesse)
+
+# ── Banques centrales reconnues ─────────────────────────────────────────────────
+
+CB_NAMES = {
+    "fed": "Fed (USD)",
+    "ecb": "ECB (EUR)",
+    "boe": "BoE (GBP)",
+    "boj": "BoJ (JPY)",
+    "snb": "SNB (CHF)",
+    "boc": "BoC (CAD)",
+    "rba": "RBA (AUD)",
+    "rbnz": "RBNZ (NZD)",
+}
+
+def normalize_cb(raw: str) -> str:
+    key = raw.lower().strip(" *:")
+    for k, v in CB_NAMES.items():
+        if k in key:
+            return v
+    return raw.strip(" *:")
+
+
+# ── HTTP helpers ────────────────────────────────────────────────────────────────
+
+_session = requests.Session()
+_session.headers.update(HEADERS)
+
+def get_page(url: str, retries: int = 3) -> BeautifulSoup | None:
+    """Fetch une page HTML et retourne un BeautifulSoup. None si échec."""
+    for attempt in range(retries):
+        try:
+            if attempt > 0:
+                time.sleep(REQUEST_DELAY * (attempt + 1))
+            resp = _session.get(url, timeout=20)
+            resp.raise_for_status()
+            return BeautifulSoup(resp.text, "html.parser")
+        except requests.HTTPError as e:
+            print(f"  [HTTP {e.response.status_code}] {url}", file=sys.stderr)
+            if e.response.status_code in (403, 404):
+                return None          # inutile de retenter
+        except requests.RequestException as e:
+            print(f"  [Réseau] {e}", file=sys.stderr)
+    return None
+
+
+# ── Extraction de la date depuis l'URL ─────────────────────────────────────────
+
+def date_from_url(url: str) -> str:
+    """Extrait YYYY-MM-DD depuis le slug YYYYMMDD en fin d'URL."""
+    m = re.search(r"(\d{8})/?$", url)
+    if m:
+        d = m.group(1)
+        return f"{d[:4]}-{d[4:6]}-{d[6:8]}"
+    return "?"
+
+
+# ── Parsing du bloc de données ──────────────────────────────────────────────────
+
+# Pattern : **RBNZ:** 76 bps (70% probability of no change at the next meeting)
+_ENTRY_RE = re.compile(
+    r"\*?\*?\s*([A-Za-z/]+)\s*:+\s*\*?\*?\s*"
+    r"(\d+)\s*bps\s*"
+    r"\((\d+)%\s+probability\s+of\s+([^)]+)\)",
+    re.IGNORECASE,
+)
+
+def parse_rate_entries(text: str) -> list[dict]:
+    return [
+        {
+            "cb": normalize_cb(m.group(1)),
+            "bps": int(m.group(2)),
+            "prob_pct": int(m.group(3)),
+            "prob_desc": m.group(4).strip(),
+        }
+        for m in _ENTRY_RE.finditer(text)
+    ]
+
+
+def extract_rate_data(soup: BeautifulSoup, url: str) -> dict | None:
+    """
+    Extrait les blocs 'Rate cuts by year-end' et 'Rate hikes by year-end'
+    depuis le HTML d'un article.
+    Retourne None si le keyword n'est pas trouvé.
+    """
+    # Titre
+    h1 = soup.find("h1")
+    title = h1.get_text(strip=True) if h1 else "N/A"
+
+    # Texte complet de l'article
+    article = (
+        soup.find("article")
+        or soup.find("div", class_=re.compile(r"article|content|entry|post", re.I))
+        or soup.body
+    )
+    text = article.get_text(separator="\n") if article else soup.get_text(separator="\n")
+
+    # Vérifier la présence du keyword
+    if KEYWORD.lower() not in text.lower():
+        return None
+
+    # Parser les sections
+    result = {
+        "url": url,
+        "title": title,
+        "date": date_from_url(url),
+        "scraped_at": datetime.utcnow().isoformat() + "Z",
+        "rate_cuts": [],
+        "rate_hikes": [],
+    }
+
+    lines = [l.strip() for l in text.splitlines() if l.strip()]
+    current_section = None
+
+    for line in lines:
+        ll = line.lower()
+        if "rate cuts by year-end" in ll:
+            current_section = "cuts"
+            continue
+        if "rate hikes by year-end" in ll:
+            current_section = "hikes"
+            continue
+
+        if current_section and len(line) < 250:
+            entries = parse_rate_entries(line)
+            for e in entries:
+                if current_section == "cuts":
+                    e["direction"] = "cut"
+                    result["rate_cuts"].append(e)
+                else:
+                    e["direction"] = "hike"
+                    result["rate_hikes"].append(e)
+
+        # Stop si on sort manifestement du bloc (paragraphe long)
+        if current_section and len(line) > 300:
+            current_section = None
+
+    return result
+
+
+# ── Découverte des articles ─────────────────────────────────────────────────────
+
+def discover_article_urls(limit: int = MAX_ARTICLES) -> list[str]:
+    """
+    Découvre les URLs d'articles de Giuseppe Dellamotta depuis :
+    1. Sa page auteur
+    2. La catégorie CentralBanks
+    Retourne une liste dédupliquée, triée du plus récent au plus ancien.
+    """
+    found = []
+
+    # Source 1 : page auteur
+    soup = get_page(AUTHOR_URL)
+    if soup:
+        for a in soup.find_all("a", href=True):
+            href = a["href"]
+            # Articles de la catégorie centralbank avec slug YYYYMMDD
+            if "/centralbank/" in href and re.search(r"\d{8}/?$", href):
+                full = urljoin(BASE_URL, href)
+                if full not in found:
+                    found.append(full)
+        time.sleep(REQUEST_DELAY)
+
+    # Source 2 : catégorie (si page auteur insuffisante)
+    if len(found) < limit:
+        soup2 = get_page(CATEGORY_URL)
+        if soup2:
+            for a in soup2.find_all("a", href=True):
+                href = a["href"]
+                if "/centralbank/" in href and re.search(r"\d{8}/?$", href):
+                    full = urljoin(BASE_URL, href)
+                    if full not in found:
+                        found.append(full)
+            time.sleep(REQUEST_DELAY)
+
+    # Trier du plus récent (date dans l'URL) au plus ancien
+    def url_date_key(url):
+        m = re.search(r"(\d{8})/?$", url)
+        return m.group(1) if m else "00000000"
+
+    found.sort(key=url_date_key, reverse=True)
+    return found[:limit]
+
+
+# ── Scraping principal ──────────────────────────────────────────────────────────
+
+def scrape_recent(n: int = 2, specific_url: str = None) -> list[dict]:
+    """
+    Scrape les n derniers articles contenant KEYWORD.
+    Si specific_url est fourni, scrape uniquement cet article.
+    """
+    if specific_url:
+        urls_to_check = [specific_url]
+    else:
+        print(f"[Découverte] Recherche des articles de Giuseppe Dellamotta...", file=sys.stderr)
+        urls_to_check = discover_article_urls(limit=MAX_ARTICLES)
+        print(f"  {len(urls_to_check)} articles candidats trouvés.", file=sys.stderr)
+
+    results = []
+
+    for url in urls_to_check:
+        if len(results) >= n and not specific_url:
+            break
+
+        print(f"  → Scanning: {url}", file=sys.stderr)
+        soup = get_page(url)
+        if not soup:
+            continue
+
+        data = extract_rate_data(soup, url)
+        if data:
+            print(f"    ✅ '{KEYWORD}' trouvé — {len(data['rate_hikes'])} BC hike / {len(data['rate_cuts'])} BC cut", file=sys.stderr)
+            results.append(data)
+        else:
+            print(f"    ⏭  Keyword absent — article ignoré", file=sys.stderr)
+
+        time.sleep(REQUEST_DELAY)
+
+    return results
+
+
+# ── Formatage console ───────────────────────────────────────────────────────────
+
+def format_table(results: list[dict]) -> str:
+    lines = []
+    for r in results:
+        lines.append("=" * 65)
+        lines.append(f"📅  {r['date']}   |   {r['title'][:50]}")
+        lines.append(f"🔗  {r['url']}")
+        lines.append("")
+
+        all_entries = []
+        for e in r["rate_cuts"]:
+            all_entries.append((e["cb"], -e["bps"], e["prob_pct"], e["prob_desc"], "cut"))
+        for e in r["rate_hikes"]:
+            all_entries.append((e["cb"], e["bps"], e["prob_pct"], e["prob_desc"], "hike"))
+
+        # Trier par |bps| décroissant
+        all_entries.sort(key=lambda x: -abs(x[1]))
+
+        lines.append(f"  {'Banque Centrale':<16} {'Attentes fin d\'année':>14}  Prochain meeting")
+        lines.append(f"  {'-'*16} {'-'*14}  {'-'*30}")
+        for cb, bps, prob, desc, direction in all_entries:
+            arrow = "▲ +" if direction == "hike" else "▼ -"
+            lines.append(
+                f"  {cb:<16} {arrow}{abs(bps):>3} bps       {prob}% prob. of {desc}"
+            )
+        lines.append("")
+
+    lines.append("=" * 65)
+    lines.append(f"Scraped at: {datetime.utcnow().strftime('%Y-%m-%d %H:%M UTC')}")
+    return "\n".join(lines)
+
+
+# ── CLI ─────────────────────────────────────────────────────────────────────────
+
+def main():
+    parser = argparse.ArgumentParser(description="Scraper rate expectations — investinglive.com")
+    parser.add_argument("--url", help="URL spécifique à scraper (optionnel)")
+    parser.add_argument("--n", type=int, default=2, help="Nombre de derniers articles (défaut: 2)")
+    parser.add_argument("--output", choices=["table", "json"], default="table", help="Format de sortie")
+    parser.add_argument("--save", help="Fichier de sauvegarde JSON (optionnel)")
+    args = parser.parse_args()
+
+    results = scrape_recent(n=args.n, specific_url=args.url)
+
+    if not results:
+        print("❌ Aucun article trouvé avec le keyword.", file=sys.stderr)
+        sys.exit(1)
+
+    if args.output == "json" or args.save:
+        json_str = json.dumps(results, ensure_ascii=False, indent=2)
+        if args.save:
+            with open(args.save, "w", encoding="utf-8") as f:
+                f.write(json_str)
+            print(f"💾 Sauvegardé dans {args.save}", file=sys.stderr)
+        if args.output == "json":
+            print(json_str)
+        else:
+            print(format_table(results))
+    else:
+        print(format_table(results))
+
+
+if __name__ == "__main__":
+    main()
@@ -0,0 +1,20 @@
+import type { Config } from "tailwindcss";
+
+const config: Config = {
+  content: [
+    "./app/**/*.{js,ts,jsx,tsx,mdx}",
+    "./components/**/*.{js,ts,jsx,tsx,mdx}",
+  ],
+  theme: {
+    extend: {
+      colors: {
+        bull: "#16a34a",
+        bear: "#dc2626",
+        neutral: "#6b7280",
+      },
+    },
+  },
+  plugins: [],
+};
+
+export default config;
@@ -0,0 +1,20 @@
+{
+  "compilerOptions": {
+    "lib": ["dom", "dom.iterable", "esnext"],
+    "allowJs": true,
+    "skipLibCheck": true,
+    "strict": true,
+    "noEmit": true,
+    "esModuleInterop": true,
+    "module": "esnext",
+    "moduleResolution": "bundler",
+    "resolveJsonModule": true,
+    "isolatedModules": true,
+    "jsx": "preserve",
+    "incremental": true,
+    "plugins": [{ "name": "next" }],
+    "paths": { "@/*": ["./*"] }
+  },
+  "include": ["next-env.d.ts", "**/*.ts", "**/*.tsx", ".next/types/**/*.ts"],
+  "exclude": ["node_modules"]
+}