Closes #023 - Isolated PEAD fundamental momentum screener integration

DEV_LOG.md

@@ -275,6 +275,19 @@ This document tracks all modifications, npm packages, active compilation states,
 *   **Active Bugs**: None.
 *   **Type Checker Status**: Verified 100% clean type verification (`npx tsc --noEmit` returns exit code 0).
 
+---
+
+## [2026-06-14] - Isolated PEAD Fundamental Momentum Screener Integration (#ISSUE-023)
+
+### Added
+*   **Earnings Surprise Parsing & Parsing Fallbacks**: Implemented `fetchFmpEarningsSurprise` in [/api/scanner/route.ts](file:///c:/Users/jannr/.gemini/antigravity/scratch/investment-sandbox/app/api/scanner/route.ts) to query quarterly EPS surprises. Implemented `getSimulatedPEAD` to deterministically simulate PEAD variables offline, preserving the `2026-06-14` date-lock.
+*   **SUE Momentum calculations**: Computes Earnings Surprise percent (using the consensus EPS expectation difference) and tracks days elapsed since announcement. Assigns `"Active Drift"` status if surprise absolute value exceeds 4.5% and time elapsed is under 45 days.
+*   **PEAD Drift Radar Workstation Grid**: Embedded a sub-tab layout in [ScannerDemo.tsx](file:///c:/Users/jannr/.gemini/antigravity/scratch/investment-sandbox/components/modules/scanner/ScannerDemo.tsx) housing the high-density glassmorphic "🚀 PEAD Drift Radar" table, mapping ticker/name, sector, release date, reported vs consensus EPS, surprise %, and drift momentum status. Bound to an isolated `peadData` react state hook.
+
+### Active Bugs / Compile Status
+*   **Active Bugs**: None.
+*   **Type Checker Status**: Verified 100% clean type verification (`npx tsc --noEmit` returns exit code 0).
+
 
 
 

app/api/scanner/route.ts

@@ -20,6 +20,13 @@ interface TickerDetails {
   peg?: number;
   priceToBook?: number;
   dividendYield?: number;
+  peadSector?: string;
+  announcementDate?: string;
+  daysElapsed?: number;
+  epsActual?: number;
+  epsConsensus?: number;
+  surprisePercent?: number;
+  driftStatus?: string;
 }
 
 // 14-day Welles Wilder RSI solver
@@ -397,6 +404,150 @@ async function fetchFMPFundamentalData(ticker: string, apiKey: string) {
   return { ...mock, dividendYield: mock.dividendYield * 100 };
 }
 
+function getSimulatedPEAD(ticker: string): {
+  peadSector: string;
+  announcementDate: string;
+  daysElapsed: number;
+  epsActual: number;
+  epsConsensus: number;
+  surprisePercent: number;
+  driftStatus: 'Active Drift' | 'Consolidating';
+} {
+  const getSector = (t: string) => {
+    const tech = ['AAPL', 'MSFT', 'NVDA', 'AMD', 'SMCI', 'ADBE', 'CRM', 'AVGO', 'QCOM', 'TXN', 'INTC', 'MU', 'AMAT', 'LRCX', 'PLTR'];
+    const consumer = ['TSLA', 'NKE', 'SBUX', 'MCD', 'ABNB', 'BKNG', 'DIS', 'WMT', 'PG', 'COST', 'PEP', 'KO'];
+    const financial = ['BAC', 'JPM', 'GS', 'MS', 'BLK', 'PYPL', 'SQ', 'V', 'MA', 'AXP', 'WFC'];
+    const healthcare = ['JNJ', 'MRK', 'UNH', 'LLY', 'ABBV', 'MRNA', 'PFE', 'GILD', 'AMGN'];
+    const energy = ['CVX', 'XOM', 'SHEL', 'BP'];
+    
+    if (tech.includes(t)) return 'Technology';
+    if (consumer.includes(t)) return 'Consumer Goods';
+    if (financial.includes(t)) return 'Financial Services';
+    if (healthcare.includes(t)) return 'Healthcare';
+    if (energy.includes(t)) return 'Energy';
+    return 'Conglomerate';
+  };
+
+  const sector = getSector(ticker);
+  
+  if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH') || ticker.includes('SOL')) {
+    return {
+      peadSector: 'Cryptocurrency',
+      announcementDate: 'N/A',
+      daysElapsed: 0,
+      epsActual: 0,
+      epsConsensus: 0,
+      surprisePercent: 0,
+      driftStatus: 'Consolidating'
+    };
+  }
+
+  const charCodeSum = ticker.split('').reduce((acc, char) => acc + char.charCodeAt(0), 0);
+  const daysElapsed = (charCodeSum % 85) + 1; // 1 to 85
+  
+  const today = new Date('2026-06-14');
+  today.setDate(today.getDate() - daysElapsed);
+  const announcementDate = today.toISOString().split('T')[0];
+
+  const consensusSeed = (charCodeSum % 4) + 0.5;
+  const epsConsensus = Number((consensusSeed + (charCodeSum % 10) / 10).toFixed(2));
+  
+  const surprisePercent = Number((((charCodeSum % 30) - 12) + (charCodeSum % 10) / 10).toFixed(2));
+  const epsActual = Number((epsConsensus * (1 + surprisePercent / 100)).toFixed(2));
+
+  const driftStatus = (Math.abs(surprisePercent) > 4.5 && daysElapsed < 45) ? 'Active Drift' : 'Consolidating';
+
+  return {
+    peadSector: sector,
+    announcementDate,
+    daysElapsed,
+    epsActual,
+    epsConsensus,
+    surprisePercent,
+    driftStatus
+  };
+}
+
+async function fetchFmpEarningsSurprise(ticker: string, apiKey: string): Promise<{
+  peadSector: string;
+  announcementDate: string;
+  daysElapsed: number;
+  epsActual: number;
+  epsConsensus: number;
+  surprisePercent: number;
+  driftStatus: 'Active Drift' | 'Consolidating';
+}> {
+  const getSector = (t: string) => {
+    const tech = ['AAPL', 'MSFT', 'NVDA', 'AMD', 'SMCI', 'ADBE', 'CRM', 'AVGO', 'QCOM', 'TXN', 'INTC', 'MU', 'AMAT', 'LRCX', 'PLTR'];
+    const consumer = ['TSLA', 'NKE', 'SBUX', 'MCD', 'ABNB', 'BKNG', 'DIS', 'WMT', 'PG', 'COST', 'PEP', 'KO'];
+    const financial = ['BAC', 'JPM', 'GS', 'MS', 'BLK', 'PYPL', 'SQ', 'V', 'MA', 'AXP', 'WFC'];
+    const healthcare = ['JNJ', 'MRK', 'UNH', 'LLY', 'ABBV', 'MRNA', 'PFE', 'GILD', 'AMGN'];
+    const energy = ['CVX', 'XOM', 'SHEL', 'BP'];
+    
+    if (tech.includes(t)) return 'Technology';
+    if (consumer.includes(t)) return 'Consumer Goods';
+    if (financial.includes(t)) return 'Financial Services';
+    if (healthcare.includes(t)) return 'Healthcare';
+    if (energy.includes(t)) return 'Energy';
+    return 'Conglomerate';
+  };
+
+  const sector = getSector(ticker);
+  
+  if (ticker.includes('-USD') || ticker.includes('BTC') || ticker.includes('ETH') || ticker.includes('SOL')) {
+    return {
+      peadSector: 'Cryptocurrency',
+      announcementDate: 'N/A',
+      daysElapsed: 0,
+      epsActual: 0,
+      epsConsensus: 0,
+      surprisePercent: 0,
+      driftStatus: 'Consolidating'
+    };
+  }
+
+  try {
+    const url = `https://financialmodelingprep.com/api/v3/earnings-surprises/${ticker}?apikey=${apiKey}`;
+    const res = await fetch(url, { signal: AbortSignal.timeout(2000) });
+    if (res.ok) {
+      const data = await res.json();
+      if (Array.isArray(data) && data.length > 0) {
+        const latest = data[0];
+        const dateStr = latest.date;
+        const epsActual = latest.actualEarningResult !== null ? latest.actualEarningResult : 0;
+        const epsConsensus = latest.estimatedEarning !== null ? latest.estimatedEarning : 0;
+        
+        // Calculate days elapsed since announcement
+        const annDate = new Date(dateStr);
+        const today = new Date('2026-06-14'); // System date lock
+        const diffTime = Math.abs(today.getTime() - annDate.getTime());
+        const daysElapsed = Math.ceil(diffTime / (1000 * 60 * 60 * 24));
+        
+        // Surprise % calculation
+        const estDenom = epsConsensus === 0 ? 0.01 : Math.abs(epsConsensus);
+        const surprisePercent = Number((((epsActual - epsConsensus) / estDenom) * 100).toFixed(2));
+        
+        const driftStatus = (Math.abs(surprisePercent) > 4.5 && daysElapsed < 45) ? 'Active Drift' : 'Consolidating';
+        
+        return {
+          peadSector: sector,
+          announcementDate: dateStr,
+          daysElapsed,
+          epsActual,
+          epsConsensus,
+          surprisePercent,
+          driftStatus
+        };
+      }
+    }
+  } catch (err) {
+    console.warn(`Error fetching earnings surprise for ${ticker}:`, err);
+  }
+
+  // Fallback to deterministic simulation
+  return getSimulatedPEAD(ticker);
+}
+
 export async function GET(request: Request) {
   const { searchParams } = new URL(request.url);
   const mode = searchParams.get('mode') || 'day_crash';
@@ -485,11 +636,16 @@ export async function GET(request: Request) {
         ? getSimulatedSloan(item.ticker)
         : await fetchFmpSloanRatio(item.ticker, fmpApiKey);
 
+      const pead = useMock
+        ? getSimulatedPEAD(item.ticker)
+        : await fetchFmpEarningsSurprise(item.ticker, fmpApiKey);
+
       return {
         ...item,
         ...fund,
         dividendYield: fund.dividendYield ? Number((fund.dividendYield * (useMock ? 100 : 1)).toFixed(2)) : 0,
-        ...sloan
+        ...sloan,
+        ...pead
       };
     })
   );

components/modules/scanner/ScannerDemo.tsx

@@ -11,7 +11,7 @@ import ScannerBlueprintModal from './ScannerBlueprintModal';
 import {
   ShieldAlert, Sparkles, RefreshCw, Flame, Search, Plus, Trash2,
   ChevronDown, ChevronUp, AlertTriangle, CheckCircle2, XCircle, Info, Clock, Play,
-  BookOpen
+  BookOpen, TrendingUp
 } from 'lucide-react';
 
 // Predefined mock database for deep-check searches (Removed mock database)
@@ -30,6 +30,18 @@ interface SearchResult {
   sloanRegime?: 'SAFE' | 'ANOMALY';
 }
 
+interface PEADData {
+  ticker: string;
+  name: string;
+  peadSector: string;
+  announcementDate: string;
+  daysElapsed: number;
+  epsActual: number;
+  epsConsensus: number;
+  surprisePercent: number;
+  driftStatus: 'Active Drift' | 'Consolidating';
+}
+
 export default function ScannerDemo() {
   const { watchlist, addToWatchlist, removeFromWatchlist, simulateWatchlistTick, updateScannerAlerts } = useSandboxStore();
 
@@ -51,6 +63,14 @@ export default function ScannerDemo() {
   const [isMathModalOpen, setIsMathModalOpen] = useState(false);
   const [isBlueprintModalOpen, setIsBlueprintModalOpen] = useState(false);
   const [isShieldActive, setIsShieldActive] = useState(false);
+  const [leftPanelTab, setLeftPanelTab] = useState<'screener' | 'pead'>('screener');
+  const [peadData, setPeadData] = useState<PEADData[]>([
+    { ticker: 'NVDA', name: 'NVIDIA Corporation', peadSector: 'Technology', announcementDate: '2026-05-20', daysElapsed: 25, epsActual: 6.12, epsConsensus: 5.58, surprisePercent: 9.68, driftStatus: 'Active Drift' },
+    { ticker: 'AAPL', name: 'Apple Inc.', peadSector: 'Technology', announcementDate: '2026-05-02', daysElapsed: 43, epsActual: 1.53, epsConsensus: 1.50, surprisePercent: 2.00, driftStatus: 'Consolidating' },
+    { ticker: 'MSFT', name: 'Microsoft Corporation', peadSector: 'Technology', announcementDate: '2026-04-25', daysElapsed: 50, epsActual: 2.94, epsConsensus: 2.82, surprisePercent: 4.26, driftStatus: 'Consolidating' },
+    { ticker: 'TSLA', name: 'Tesla Inc.', peadSector: 'Consumer Goods', announcementDate: '2026-04-23', daysElapsed: 52, epsActual: 0.45, epsConsensus: 0.51, surprisePercent: -11.76, driftStatus: 'Consolidating' },
+    { ticker: 'JPM', name: 'JPMorgan Chase & Co.', peadSector: 'Financial Services', announcementDate: '2026-04-12', daysElapsed: 63, epsActual: 4.44, epsConsensus: 4.15, surprisePercent: 6.99, driftStatus: 'Consolidating' }
+  ]);
   
   // Cache for metadata and prices retrieved dynamically
   const [alertsMetadata, setAlertsMetadata] = useState<Record<string, { name: string; whyDropped: string; sentiment: 'GREEN' | 'YELLOW' | 'RED' }>>({});
@@ -161,6 +181,24 @@ export default function ScannerDemo() {
       setAlertsPrices(prev => ({ ...prev, ...newPrices }));
       setActiveAlerts(newAlerts);
       
+      const peadList: PEADData[] = [];
+      results.forEach((r: any) => {
+        if (r.error || r.peadSector === 'Cryptocurrency') return;
+        peadList.push({
+          ticker: r.ticker,
+          name: r.name,
+          peadSector: r.peadSector || 'Conglomerate',
+          announcementDate: r.announcementDate || 'N/A',
+          daysElapsed: r.daysElapsed || 0,
+          epsActual: r.epsActual || 0,
+          epsConsensus: r.epsConsensus || 0,
+          surprisePercent: r.surprisePercent || 0,
+          driftStatus: r.driftStatus || 'Consolidating'
+        });
+      });
+      peadList.sort((a, b) => Math.abs(b.surprisePercent) - Math.abs(a.surprisePercent));
+      setPeadData(peadList);
+      
       // Update global store alerts for Sandbox module use
       updateScannerAlerts(newAlerts);
       
@@ -717,38 +755,114 @@ export default function ScannerDemo() {
       {/* SECTION 2: Scanned Anomalies & Sentiment Traffic Light */}
       <div className="grid grid-cols-1 xl:grid-cols-3 gap-8">
         
-        {/* Left 2 Columns: 3-Tier Capacity Grid (Top 5 per tier) */}
+        {/* Left 2 Columns: 3-Tier Capacity Grid (Top 5 per tier) or PEAD Drift Radar */}
         <div className="xl:col-span-2 space-y-6">
           <div className="bg-slate-900/60 backdrop-blur-md border border-slate-800 rounded-2xl p-6 text-slate-100 shadow-xl space-y-6">
             <div className="flex justify-between items-center border-b border-slate-850 pb-3">
-              <h3 className="text-lg font-bold text-white flex items-center gap-2">
-                <Sparkles className="text-amber-400 w-5 h-5 animate-pulse" /> 3-Tier Screener Kapazitäts-Grid (Top 5)
-              </h3>
+              <div className="flex items-center gap-4">
+                <button
+                  onClick={() => setLeftPanelTab('screener')}
+                  className={`text-sm font-bold flex items-center gap-2 pb-1 transition-all cursor-pointer ${leftPanelTab === 'screener' ? 'text-white border-b-2 border-amber-500' : 'text-slate-400 hover:text-slate-200'}`}
+                >
+                  <Sparkles className="text-amber-400 w-4 h-4 animate-pulse" /> 3-Tier Screener Capacity Grid
+                </button>
+                <button
+                  onClick={() => setLeftPanelTab('pead')}
+                  className={`text-sm font-bold flex items-center gap-2 pb-1 transition-all cursor-pointer ${leftPanelTab === 'pead' ? 'text-white border-b-2 border-amber-500' : 'text-slate-400 hover:text-slate-200'}`}
+                >
+                  <TrendingUp className="text-amber-400 w-4 h-4" /> 🚀 PEAD Drift Radar
+                </button>
+              </div>
               <span className="text-[10px] text-slate-400 font-mono">Modus: {scanMode.toUpperCase()} | Region: {marketRegion.toUpperCase()}</span>
             </div>
 
-            <div className="space-y-6">
-              {/* Category A: Mega Caps */}
-              {renderCategoryTable(
-                "Kategorie A: Mega Caps (> 100B USD)",
-                "Großkonzerne mit hoher institutioneller Liquidität und marktbeherrschender Stellung",
-                categorizedResults.mega
-              )}
+            {leftPanelTab === 'screener' ? (
+              <div className="space-y-6">
+                {/* Category A: Mega Caps */}
+                {renderCategoryTable(
+                  "Kategorie A: Mega Caps (> 100B USD)",
+                  "Großkonzerne mit hoher institutioneller Liquidität und marktbeherrschender Stellung",
+                  categorizedResults.mega
+                )}
 
-              {/* Category B: Mid Caps */}
-              {renderCategoryTable(
-                "Kategorie B: Mid Caps (10B - 100B USD)",
-                "Wachstumsstarke Standardwerte und etablierte Branchenführer",
-                categorizedResults.mid
-              )}
+                {/* Category B: Mid Caps */}
+                {renderCategoryTable(
+                  "Kategorie B: Mid Caps (10B - 100B USD)",
+                  "Wachstumsstarke Standardwerte und etablierte Branchenführer",
+                  categorizedResults.mid
+                )}
 
-              {/* Category C: Small Caps */}
-              {renderCategoryTable(
-                "Kategorie C: Small Caps (< 10B USD)",
-                "Hochvolatile Nebenwerte, spekulative Nischenplayer und Krypto-Assets",
-                categorizedResults.small
-              )}
-            </div>
+                {/* Category C: Small Caps */}
+                {renderCategoryTable(
+                  "Kategorie C: Small Caps (< 10B USD)",
+                  "Hochvolatile Nebenwerte, spekulative Nischenplayer und Krypto-Assets",
+                  categorizedResults.small
+                )}
+              </div>
+            ) : (
+              <div className="space-y-4">
+                <div className="text-xs text-slate-400 leading-relaxed font-sans">
+                  Monitors Post-Earnings Announcement Drift (PEAD) anomaly using standardized unanticipated earnings momentum.
+                </div>
+
+                <div className="overflow-x-auto rounded-xl border border-slate-850 bg-slate-950/40">
+                  <table className="w-full text-left text-xs border-collapse min-w-[700px] font-mono">
+                    <thead>
+                      <tr className="border-b border-slate-900 text-slate-500 font-mono text-[10px] uppercase tracking-wider bg-slate-900/40">
+                        <th className="py-2.5 px-3">Asset</th>
+                        <th className="py-2.5 px-3">Sector</th>
+                        <th className="py-2.5 px-3">Announcement Date</th>
+                        <th className="py-2.5 px-3 text-right">Reported vs Consensus</th>
+                        <th className="py-2.5 px-3 text-right">Surprise %</th>
+                        <th className="py-2.5 px-3 text-center">Drift Status</th>
+                      </tr>
+                    </thead>
+                    <tbody className="divide-y divide-slate-900/60">
+                      {peadData.length === 0 ? (
+                        <tr>
+                          <td colSpan={6} className="py-6 text-center text-slate-500 italic text-xs">
+                            No equity assets available in scan history.
+                          </td>
+                        </tr>
+                      ) : (
+                        peadData.map((pead) => {
+                          const isPositive = pead.surprisePercent >= 0;
+                          const isActiveDrift = pead.driftStatus === 'Active Drift';
+                          
+                          return (
+                            <tr key={pead.ticker} className="hover:bg-slate-850/10 transition-colors">
+                              <td className="py-2.5 px-3 font-bold text-slate-200">
+                                <span className="text-amber-400 block font-bold">{pead.ticker}</span>
+                                <span className="text-[10px] text-slate-500 block font-normal">{pead.name}</span>
+                              </td>
+                              <td className="py-2.5 px-3 text-slate-400 font-sans text-xs">
+                                {pead.peadSector}
+                              </td>
+                              <td className="py-2.5 px-3 text-slate-300 font-mono">
+                                <span>{pead.announcementDate}</span>
+                                <span className="text-[10px] text-slate-500 block">({pead.daysElapsed} days elapsed)</span>
+                              </td>
+                              <td className="py-2.5 px-3 text-right text-slate-300">
+                                <span>{pead.epsActual.toFixed(2)}</span>
+                                <span className="text-[10px] text-slate-500 block font-normal">vs {pead.epsConsensus.toFixed(2)}</span>
+                              </td>
+                              <td className={`py-2.5 px-3 text-right font-bold ${isPositive ? 'text-emerald-400' : 'text-rose-400'}`}>
+                                {isPositive ? '+' : ''}{pead.surprisePercent.toFixed(2)}%
+                              </td>
+                              <td className="py-2.5 px-3 text-center">
+                                <span className={`inline-flex items-center gap-1 px-2.5 py-0.5 rounded-full text-[9px] font-bold border ${isActiveDrift ? 'bg-emerald-500/10 text-emerald-400 border-emerald-500/20 shadow-[0_0_8px_rgba(16,185,129,0.1)]' : 'bg-slate-900 text-slate-400 border-slate-800'}`}>
+                                  {pead.driftStatus}
+                                </span>
+                              </td>
+                            </tr>
+                          );
+                        })
+                      )}
+                    </tbody>
+                  </table>
+                </div>
+              </div>
+            )}
           </div>
         </div>