feat: cockpit

backend/routers/instruments.py

@@ -72,6 +72,34 @@ async def instrument_snapshot(
     return snapshot
 
 
+@router.get("/{instrument_id}/wavelet-cache")
+def wavelet_cache(instrument_id: str) -> Dict[str, Any]:
+    """Latest full band decomposition for this instrument, from the same per-cycle scan
+    that feeds the Dashboard's Wavelets Signal card (services.wavelet_signals.
+    scan_watchlist_wavelet_signals) — NOT a live recompute. Instrument Analysis's Wavelet
+    tab reads this by default so opening it never triggers its own analysis and always
+    agrees with the Signal card; "Start analyse" is still there for an on-demand live run
+    with custom parameters, which does NOT overwrite this cache.
+
+    Looked up by the Cockpit Watchlist ticker the cache is keyed on, normalized via the
+    same yfinance-suffix stripping instrument_service uses elsewhere (EURUSD=X -> EURUSD)
+    — a quick-added instrument's id already equals its Watchlist ticker verbatim, but a
+    curated one (EURUSD=X) doesn't."""
+    from services.instrument_service import _base_ticker
+    from services.database import get_wavelet_decomposition_cache
+    cached = get_wavelet_decomposition_cache(_base_ticker(instrument_id))
+    if not cached or not cached.get("decomposition"):
+        raise HTTPException(status_code=404, detail=f"Aucune décomposition wavelet en cache pour '{instrument_id}'")
+    return {
+        "computed_at": cached["computed_at"],
+        "method": cached["method"],
+        "wavelet": cached["wavelet"],
+        "num_levels": cached["num_levels"],
+        "lookback_days": cached["lookback_days"],
+        **cached["decomposition"],
+    }
+
+
 @router.post("/{instrument_id}/narrative")
 async def generate_narrative(
     instrument_id: str,

backend/services/database.py

@@ -223,6 +223,22 @@ def init_db():
             price_at_signal REAL
         )""",
         "ALTER TABLE cycle_runs ADD COLUMN wavelet_signals_count INTEGER DEFAULT 0",
+        # Wavelets — full band-decomposition series from the same per-cycle watchlist scan
+        # (see wavelet_watchlist_signals above, which only keeps the latest scalar
+        # slope/energy/signal per band). One row per ticker, overwritten every cycle — this
+        # is what Instrument Analysis's Wavelet tab reads by default so opening it doesn't
+        # trigger a live recompute (services.wavelet_signals.scan_watchlist_wavelet_signals
+        # writes both tables together from the exact same decomposition run).
+        """CREATE TABLE IF NOT EXISTS wavelet_decomposition_cache (
+            ticker TEXT PRIMARY KEY,
+            run_id TEXT,
+            computed_at TEXT DEFAULT (datetime('now')),
+            method TEXT,
+            wavelet TEXT,
+            num_levels INTEGER,
+            lookback_days REAL,
+            decomposition_json TEXT
+        )""",
         # AI Chat widget — persisted conversation turns, one growing thread per session_id
         """CREATE TABLE IF NOT EXISTS ai_chat_messages (
             id INTEGER PRIMARY KEY AUTOINCREMENT,
@@ -3631,6 +3647,40 @@ def get_wavelet_signals_history(ticker: str, days: int = 30) -> List[Dict]:
     return [dict(r) for r in rows]
 
 
+def save_wavelet_decomposition_cache(
+    ticker: str, run_id: Optional[str], method: str, wavelet: str,
+    num_levels: int, lookback_days: float, decomposition: Dict,
+) -> None:
+    """Overwrites this ticker's cached full band-decomposition — one row per ticker, not a
+    history (services.wavelet_signals.scan_watchlist_wavelet_signals calls this once per
+    cycle, right after computing the same decomposition object it also flattens into
+    wavelet_watchlist_signals)."""
+    conn = get_conn()
+    conn.execute(
+        "INSERT INTO wavelet_decomposition_cache (ticker, run_id, computed_at, method, wavelet, num_levels, lookback_days, decomposition_json) "
+        "VALUES (?, ?, datetime('now'), ?, ?, ?, ?, ?) "
+        "ON CONFLICT(ticker) DO UPDATE SET run_id=excluded.run_id, computed_at=excluded.computed_at, method=excluded.method, "
+        "wavelet=excluded.wavelet, num_levels=excluded.num_levels, lookback_days=excluded.lookback_days, "
+        "decomposition_json=excluded.decomposition_json",
+        (ticker.upper(), run_id, method, wavelet, num_levels, lookback_days, json.dumps(decomposition)),
+    )
+    conn.commit()
+    conn.close()
+
+
+def get_wavelet_decomposition_cache(ticker: str) -> Optional[Dict]:
+    conn = get_conn()
+    row = conn.execute(
+        "SELECT * FROM wavelet_decomposition_cache WHERE ticker = ? COLLATE NOCASE", (ticker,)
+    ).fetchone()
+    conn.close()
+    if not row:
+        return None
+    d = dict(row)
+    d["decomposition"] = json.loads(d.pop("decomposition_json")) if d.get("decomposition_json") else None
+    return d
+
+
 # ── AI Chat widget — persisted conversation ────────────────────────────────────
 
 def save_chat_message(session_id: str, role: str, content: str) -> None:

backend/services/wavelet_signals.py

@@ -231,7 +231,33 @@ def _technical_desk_wavelet_config() -> Dict:
     return (desk.get("config") or {}).get("signals") or {}
 
 
-def scan_watchlist_wavelet_signals() -> List[Dict]:
+def _fetch_close_series(ticker: str, saxo_symbol: Optional[str]):
+    """Saxo-first when this watchlist instrument has a saxo_quote_symbol link, yfinance
+    otherwise or as a silent fallback on any Saxo failure — same pattern as
+    routers/wavelet.py's _fetch_history, duplicated locally rather than importing across a
+    router boundary. Needed because several Watchlist instruments (BRENT, COPPER...) have no
+    real yfinance ticker at all — get_historical(ticker, ...) always failed for them, which
+    silently dropped them out of the per-cycle scan entirely (one bad ticker just gets
+    skipped, see the try/except around the caller) — that's why the Wavelets Signal card
+    only ever showed the yfinance-recognized subset of the Watchlist."""
+    if saxo_symbol:
+        try:
+            from services.database import get_saxo_catalog_by_symbol
+            from services.saxo_client import get_price_history
+            entry = get_saxo_catalog_by_symbol(saxo_symbol)
+            asset_type = entry["asset_type"] if entry else "FxSpot"
+            bars = get_price_history(saxo_symbol, asset_type, days=400)
+            return [b["close"] for b in bars], [b["date"] for b in bars]
+        except Exception as e:
+            import logging
+            logging.getLogger(__name__).warning(f"[wavelet_signals] Saxo fetch failed for '{saxo_symbol}', falling back to yfinance: {e}")
+
+    from services.data_fetcher import get_historical
+    hist = get_historical(ticker, period="1y", interval="1d")
+    return [h["close"] for h in hist], [h["date"] for h in hist]
+
+
+def scan_watchlist_wavelet_signals(run_id: Optional[str] = None) -> List[Dict]:
     """Compute a causal (no-look-ahead) band decomposition for each watchlist
     instrument. Every (ticker, band) gets a row every cycle — current slope/
     value/energy state always, plus signal_kind/direction/params_json when one
@@ -239,9 +265,13 @@ def scan_watchlist_wavelet_signals() -> List[Dict]:
     wins, evaluated extremum -> level_threshold -> trend_flatten ->
     acceleration -> band_cross -> energy_threshold). ridge_shift is evaluated
     once per ticker (not per band — the ridge is a single track for the whole
-    decomposition) and stored as an extra band_label="ridge" row."""
+    decomposition) and stored as an extra band_label="ridge" row.
-    from services.database import get_instruments_watchlist
+
-    from services.data_fetcher import get_historical
+    Also caches the full (untruncated) decomposition per ticker in
+    wavelet_decomposition_cache — Instrument Analysis's Wavelet tab reads that instead of
+    running its own live decomposition on open, so it always agrees with the Watchlist
+    Signal card and never needs a click just to show the current state."""
+    from services.database import get_instruments_watchlist, save_wavelet_decomposition_cache
     from services.wavelet_engine import rolling_causal_bands, rolling_causal_bands_ssq
 
     sig_cfg = _technical_desk_wavelet_config()
@@ -267,11 +297,9 @@ def scan_watchlist_wavelet_signals() -> List[Dict]:
     for item in get_instruments_watchlist():
         ticker = item["ticker"]
         try:
-            hist = get_historical(ticker, period="1y", interval="1d")
+            values, dates = _fetch_close_series(ticker, item.get("saxo_quote_symbol"))
-            if len(hist) < lookback + 32:
+            if len(values) < lookback + 32:
                 continue
-            values = [h["close"] for h in hist]
-            dates = [h["date"] for h in hist]
             start_idx = max(lookback, len(values) - 60)
             decomposed = decomposer(
                 values, dates,
@@ -280,6 +308,7 @@ def scan_watchlist_wavelet_signals() -> List[Dict]:
             )
             if not decomposed["dates"]:
                 continue
+            save_wavelet_decomposition_cache(ticker, run_id, method, wavelet, num_levels, lookback, decomposed)
             price_at_signal = decomposed["original"][-1]
             bands = decomposed["bands"]
 
@@ -378,6 +407,6 @@ def scan_watchlist_wavelet_signals() -> List[Dict]:
 
 def compute_and_save_wavelet_signals(run_id: str) -> List[Dict]:
     from services.database import save_wavelet_signals
-    results = scan_watchlist_wavelet_signals()
+    results = scan_watchlist_wavelet_signals(run_id)
     save_wavelet_signals(run_id, results)
     return results

frontend/src/components/TradeRankList.tsx

@@ -3,12 +3,13 @@ import { Link } from 'react-router-dom'
 import { ArrowUpRight } from 'lucide-react'
 import clsx from 'clsx'
 
-export default function TradeRankList({ trades, mode, title, linkTo, toggle }: {
+export default function TradeRankList({ trades, mode, title, linkTo, toggle, tickerLabel }: {
   trades: any[]
   mode: 'top' | 'worst' | 'recent'
   title: string
   linkTo: string
   toggle?: ReactNode
+  tickerLabel?: (ticker: string) => string
 }) {
   const sorted = [...trades]
     .sort((a, b) => mode === 'recent'
@@ -16,7 +17,6 @@ export default function TradeRankList({ trades, mode, title, linkTo, toggle }: {
       : mode === 'top'
         ? (b.pnl_pct ?? -999) - (a.pnl_pct ?? -999)
         : (a.pnl_pct ?? 999) - (b.pnl_pct ?? 999))
-    .slice(0, 5)
 
   return (
     <Link to={linkTo} className="card block hover:border-slate-600/60 transition-all cursor-pointer">
@@ -28,7 +28,7 @@ export default function TradeRankList({ trades, mode, title, linkTo, toggle }: {
         </div>
       </div>
       {sorted.length > 0 ? (
-        <div className="space-y-1.5 mt-1">
+        <div className="space-y-1.5 mt-1 max-h-[135px] overflow-y-auto pr-0.5">
           {sorted.map((t: any, i: number) => {
             const pnl: number | null = t.pnl_pct ?? null
             const isBear = t.strategy?.toLowerCase().includes('put') || t.strategy?.toLowerCase().includes('bear')
@@ -37,7 +37,9 @@ export default function TradeRankList({ trades, mode, title, linkTo, toggle }: {
               <div key={i} className="flex items-center gap-1.5 text-[10px]">
                 <span className="text-[9px] text-slate-700 font-mono w-3 shrink-0">{i + 1}</span>
                 <span className="shrink-0">{isBear ? '🐻' : '🐂'}</span>
-                <span className="font-mono text-slate-200 font-bold shrink-0">{t.underlying ?? '—'}</span>
+                <span className="font-mono text-slate-200 font-bold shrink-0">
+                  {t.underlying ? (tickerLabel ? tickerLabel(t.underlying) : t.underlying) : '—'}
+                </span>
                 <span className="text-slate-500 truncate flex-1 text-[9px]">{t.strategy ?? ''}</span>
                 {entryDate && <span className="text-[8px] text-slate-700 shrink-0 font-mono">{entryDate}</span>}
                 {pnl !== null ? (

frontend/src/pages/Dashboard.tsx

@@ -213,6 +213,31 @@ export default function Dashboard() {
   const lastCycle = (cycleStatusData as any)?.last_cycle ?? null
   const openPositions: any[] = (openPositionsData as any) ?? []
 
+  // Trades Overview shows each position's trading-side underlying (yfinance/futures
+  // convention: ^GSPC, ^NDX, GC=F, HG=F, EURUSD=X...), which reads as noise next to the
+  // Cockpit's own friendly Watchlist names for the exact same instrument (SP500, NASDAQ,
+  // GOLD, COPPER, EURUSD). Rename to the Watchlist ticker when one plausibly matches —
+  // suffix-stripped (EURUSD=X -> EURUSD) or via a small curated root-ticker alias table —
+  // and only if that name is actually in the current Watchlist (not just "known"), so this
+  // stays tied to what's configured rather than a static list.
+  const UNDERLYING_ALIASES: Record<string, string> = {
+    '^GSPC': 'SP500', '^NDX': 'NASDAQ', '^DJI': 'DOW', '^RUT': 'RUSSELL2000',
+    'GC=F': 'GOLD', 'SI=F': 'SILVER', 'HG=F': 'COPPER', 'PL=F': 'PLATINUM',
+    'CL=F': 'CRUDE', 'BZ=F': 'BRENT', 'NG=F': 'NATGAS',
+    'ZW=F': 'WHEAT', 'ZC=F': 'CORN', 'ZS=F': 'SOYBEANS',
+  }
+  const underlyingDisplayName = (underlying: string): string => {
+    if (!underlying) return underlying
+    const upper = underlying.toUpperCase()
+    const watchlistTickers = new Set(((watchlistItems as any[]) ?? []).map(w => w.ticker.toUpperCase()))
+    const baseTicker = upper.replace(/(=X|=F)$/, '')
+    if (watchlistTickers.has(upper)) return upper
+    if (watchlistTickers.has(baseTicker)) return baseTicker
+    const alias = UNDERLYING_ALIASES[upper]
+    if (alias && watchlistTickers.has(alias)) return alias
+    return underlying
+  }
+
   // Patterns from the last cycle only (filter by created_at >= cycle started_at)
   const cyclePatterns = useMemo(() => {
     const started = lastCycle?.started_at ?? null
@@ -1013,7 +1038,7 @@ export default function Dashboard() {
       {/* ── Command Center: Intelligence & Contexte ── */}
       <div className="grid grid-cols-4 gap-3">
 
-        <TradeRankList trades={openPositions} mode="recent" title="🏆 Trades Overview" linkTo="/portfolio" />
+        <TradeRankList trades={openPositions} mode="recent" title="🏆 Trades Overview" linkTo="/portfolio" tickerLabel={underlyingDisplayName} />
 
         {/* Wavelets Signal — latest per-ticker signal from the watchlist scan (computed each
             cycle). Single click on the card = Wavelets Simulation overview; double-click a
@@ -1035,7 +1060,10 @@ export default function Dashboard() {
                   {signals.slice(0, 5).map((s: any, i: number) => (
                     <div
                       key={i}
-                      onDoubleClick={() => navigate(`/instruments/${encodeURIComponent(s.ticker)}?tab=wavelets`)}
+                      onDoubleClick={() => quickAddInstrument.mutate(s.ticker, {
+                        onSuccess: ({ id }) => navigate(`/instruments/${encodeURIComponent(id)}?tab=wavelets`),
+                        onError: (e) => console.error(`[WaveletsSignal] failed to open ${s.ticker} in Instrument Analysis:`, e),
+                      })}
                       title="Double-click to open in Instrument Analysis → Wavelets"
                       className="flex items-center gap-1.5 text-[10px] rounded px-1 -mx-1 py-0.5 cursor-pointer hover:bg-dark-700/40 transition-colors"
                     >

frontend/src/pages/InstrumentDashboard.tsx

@@ -1456,6 +1456,12 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
   const [waveletCausal, setWaveletCausal]   = useState(false)
   const [waveletLookback, setWaveletLookback] = useState(260)
   const [waveletData, setWaveletData]       = useState<any | null>(null)
+  // 'cached' = last per-cycle scan result (services.wavelet_signals, same source as the
+  // Dashboard's Wavelets Signal card) — loaded automatically. 'live' = a fresh on-demand
+  // run from the "Start analyse" button, with whatever params are set above; not persisted
+  // back into the cache, so it can diverge from what the Signal card shows until the next cycle.
+  const [waveletSource, setWaveletSource]   = useState<'cached' | 'live' | null>(null)
+  const [waveletCachedAt, setWaveletCachedAt] = useState<string | null>(null)
   const [loadingWavelet, setLoadingWavelet] = useState(false)
   const [waveletReliability, setWaveletReliability] = useState<any | null>(null)
   const [loadingReliability, setLoadingReliability] = useState(false)
@@ -1655,6 +1661,10 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
   const dateLabel    = effectiveDate ? fmtDateFR(effectiveDate) : '—'
   const displayPrice = dateTrend?.current_price ?? snapshot?.current_price
 
+  // On-demand LIVE recompute — the "Start analyse" button only. Does not touch
+  // wavelet_decomposition_cache, so it can show a different result (custom params, more
+  // recent tick) than the cached view without disturbing what the Dashboard's Wavelets
+  // Signal card / other instruments' cached tabs show until the next scheduled cycle.
   const runWaveletAnalysis = async () => {
     if (!selected) return
     setLoadingWavelet(true)
@@ -1665,15 +1675,47 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
       if (waveletCausal) params.lookback = waveletLookback
       const { data } = await api.get(path, { params })
       setWaveletData(data)
+      setWaveletSource('live')
+      setWaveletCachedAt(null)
       setHiddenBands(new Set())
     } catch (e) {
       console.error('Wavelet analysis failed', e)
       setWaveletData(null)
+      setWaveletSource(null)
     } finally {
       setLoadingWavelet(false)
     }
   }
 
+  // Load the cached decomposition once per instrument, the first time the Wavelet tab
+  // becomes active for it — NOT a live call. Same data the per-cycle Watchlist scan writes
+  // (services.wavelet_signals.scan_watchlist_wavelet_signals), so this tab always agrees
+  // with the Dashboard's Wavelets Signal card and never needs a click just to show the
+  // current state. 404 (no cycle has scanned this ticker yet, or it's not Watchlist-linked)
+  // just leaves the empty state up — "Start analyse" still runs a live one on demand.
+  // Keyed by instrumentId in a ref so tweaking levels/family/method for a live run
+  // afterward doesn't silently re-trigger this.
+  const waveletAutoFetchKey = useRef<string | null>(null)
+  useEffect(() => {
+    if (tabUnder !== 'wavelets' || !selected) return
+    if (waveletAutoFetchKey.current === instrumentId) return
+    waveletAutoFetchKey.current = instrumentId
+    setWaveletData(null)
+    setWaveletSource(null)
+    setWaveletCachedAt(null)
+    setLoadingWavelet(true)
+    api.get(`/instruments/${encodeURIComponent(instrumentId)}/wavelet-cache`)
+      .then(({ data }) => {
+        setWaveletData(data)
+        setWaveletSource('cached')
+        setWaveletCachedAt(data.computed_at ?? null)
+        setHiddenBands(new Set())
+      })
+      .catch(() => { /* no cache yet — expected, empty state stays up */ })
+      .finally(() => setLoadingWavelet(false))
+  // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [tabUnder, instrumentId, selected])
+
   const runWaveletReliability = async () => {
     if (!selected) return
     setLoadingReliability(true)
@@ -2080,7 +2122,7 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
             {([
               { key: 'counters', label: 'Compteurs' },
               { key: 'analyse',  label: 'Analyse de la courbe' },
-              { key: 'wavelets', label: 'Ondelettes' },
+              { key: 'wavelets', label: 'Wavelet' },
             ] as const).map(t => (
               <button
                 key={t.key}
@@ -2217,7 +2259,19 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
           {tabUnder === 'wavelets' && (
             <div className="rounded-xl border border-slate-700/40 bg-dark-800/60 p-4">
               <div className="flex items-center gap-2 mb-3 flex-wrap">
-                <span className="text-xs font-semibold text-slate-400 uppercase tracking-wide">Décomposition Ondelette</span>
+                <span className="text-xs font-semibold text-slate-400 uppercase tracking-wide">Décomposition Wavelet</span>
+                {waveletSource === 'cached' && (
+                  <span className="text-[10px] px-1.5 py-0.5 rounded bg-emerald-900/30 border border-emerald-700/30 text-emerald-400"
+                    title="Dernier calcul du cycle automatique — même source que la card Wavelets Signal du Cockpit">
+                    En cache{waveletCachedAt ? ` · ${waveletCachedAt.slice(0, 16).replace('T', ' ')}` : ''}
+                  </span>
+                )}
+                {waveletSource === 'live' && (
+                  <span className="text-[10px] px-1.5 py-0.5 rounded bg-blue-900/30 border border-blue-700/30 text-blue-400"
+                    title="Calcul à la demande avec les paramètres ci-contre — pas persisté, n'affecte pas la card Wavelets Signal">
+                    Calcul live
+                  </span>
+                )}
                 <div className="ml-auto flex items-center gap-2 flex-wrap text-xs">
                   <label className="flex items-center gap-1 text-slate-400">
                     Niveaux
@@ -2249,8 +2303,9 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
                     </label>
                   )}
                   <button onClick={runWaveletAnalysis} disabled={loadingWavelet}
+                    title="Les bandes se chargent automatiquement à l'ouverture de l'onglet — ce bouton force un nouveau calcul (ex. après avoir changé les paramètres)."
                     className="px-2.5 py-1 rounded text-xs font-medium border border-blue-600/40 bg-blue-700/30 text-blue-200 hover:bg-blue-700/50 transition-colors disabled:opacity-50">
-                    {loadingWavelet ? '↻ Calcul…' : "▶ Lancer l'analyse"}
+                    {loadingWavelet ? '↻ Calcul…' : '▶ Start analyse'}
                   </button>
                   <button onClick={runWaveletReliability} disabled={loadingReliability}
                     title="Pour chaque retournement détecté en mode causal (walk-forward, sans anticipation), vérifie si un recalcul 10 jours plus tard confirme le même retournement — un indice de fiabilité par bande."
@@ -2461,7 +2516,7 @@ export default function InstrumentDashboard({ instrumentIdProp, isVisible }: { i
                 </>
               ) : (
                 <div className="text-xs text-slate-500 text-center py-10">
-                  {loadingWavelet ? 'Calcul en cours…' : "Cliquez sur \"Lancer l'analyse\" pour décomposer le prix en bandes de fréquence"}
+                  {loadingWavelet ? 'Calcul en cours…' : 'Pas encore de décomposition en cache pour cet instrument (attend le prochain cycle) — "Start analyse" pour un calcul live'}
                 </div>
               )}