feat(insta): 카드 탭 트렌딩 키워드 중복 제거 + 10개씩 페이지네이션

KeywordsPanel이 전체 목록을 세로로 길게 표시하던 것을, 동일 keyword
중복 제거(최고 score 유지)·score 내림차순 후 페이지당 10개만 렌더하고
이전(←)/다음(→) 페이저로 탐색하도록 변경. 카테고리 변경 시 첫 페이지 리셋.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

src/api.js

@@ -681,3 +681,45 @@ export const refreshScreenerSnap  = ()           => apiPost('/api/stock/screener
 export const listScreenerRuns     = (limit = 30) => apiGet (`/api/stock/screener/runs?limit=${limit}`);
 export const getScreenerRun       = (id)         => apiGet (`/api/stock/screener/runs/${id}`);
 
+// --- Lotto Weight Evolver ---
+
+export async function fetchEvolverStatus() {
+    const r = await fetch('/api/lotto/evolver/status');
+    if (!r.ok) throw new Error(`evolver/status ${r.status}`);
+    return r.json();
+}
+
+export async function fetchEvolverHistory(weeks = 12) {
+    const r = await fetch(`/api/lotto/evolver/history?weeks=${weeks}`);
+    if (!r.ok) throw new Error(`evolver/history ${r.status}`);
+    return r.json();
+}
+
+export async function fetchLottoTasks({ days = 7, taskType = null } = {}) {
+    const params = new URLSearchParams({ days: String(days), limit: '100' });
+    if (taskType) params.set('task_type', taskType);
+    const r = await fetch(`/api/agent-office/agents/lotto/tasks?${params}`);
+    if (!r.ok) throw new Error(`agent-office tasks ${r.status}`);
+    return r.json();
+}
+
+export async function fetchLottoLogs({ days = 7 } = {}) {
+    const r = await fetch(`/api/agent-office/agents/lotto/logs?limit=200`);
+    if (!r.ok) throw new Error(`agent-office logs ${r.status}`);
+    const data = await r.json();
+    if (!days) return data;
+    const cutoff = new Date(Date.now() - days * 24 * 3600 * 1000).toISOString();
+    return { items: (data.items || data.logs || []).filter(l => (l.created_at || '') >= cutoff) };
+}
+
+export async function triggerEvolverGenerate() {
+    const r = await fetch('/api/lotto/evolver/generate-now', { method: 'POST' });
+    if (!r.ok) throw new Error(`generate-now ${r.status}`);
+    return r.json();
+}
+
+export async function triggerEvolverEvaluate() {
+    const r = await fetch('/api/lotto/evolver/evaluate-now', { method: 'POST' });
+    if (!r.ok) throw new Error(`evaluate-now ${r.status}`);
+    return r.json();
+}

src/pages/insta/InstaCards.css

@@ -59,6 +59,18 @@
 .ic-keyword-row__meta { font-size: 0.72rem; color: rgba(255,255,255,.35); white-space: nowrap; }
 .ic-keyword-row__score { font-size: 0.75rem; font-weight: 700; color: #ec4899; min-width: 36px; text-align: right; }
 
+/* 키워드 페이저 (10개씩, 이전/다음) */
+.ic-keywords__pager { display: flex; align-items: center; justify-content: center; gap: 14px; margin-top: 12px; }
+.ic-pager-btn {
+  display: inline-flex; align-items: center; justify-content: center;
+  width: 36px; height: 36px; border-radius: 99px;
+  border: 1px solid rgba(255,255,255,.12); background: rgba(255,255,255,.04);
+  color: rgba(255,255,255,.7); font-size: 1.1rem; cursor: pointer; transition: all .15s;
+}
+.ic-pager-btn:hover:not(:disabled) { background: rgba(236,72,153,.18); border-color: #ec4899; color: #ec4899; }
+.ic-pager-btn:disabled { opacity: .3; cursor: not-allowed; }
+.ic-pager-info { font-size: 0.8rem; font-weight: 600; color: rgba(255,255,255,.55); min-width: 48px; text-align: center; }
+
 /* 슬레이트 그리드 — 모바일 2칸 강제, 데스크탑 auto-fill */
 .ic-slates-grid {
   display: grid;

src/pages/insta/InstaCards.jsx

@@ -1,4 +1,4 @@
-import React, { useState, useEffect, useCallback, useRef } from 'react';
+import React, { useState, useEffect, useCallback, useRef, useMemo } from 'react';
 import PullToRefresh from '../../components/PullToRefresh';
 import {
   getInstaStatus,
@@ -521,11 +521,13 @@ function TriggerPanel() {
 
 /* ══════════════════════ 키워드 목록 ══════════════════════════════════════ */
 const CATEGORIES = ['전체', 'economy', 'psychology', 'celebrity'];
+const KEYWORDS_PER_PAGE = 10;
 
 function KeywordsPanel({ onCreateSlate }) {
   const [category, setCategory] = useState('전체');
   const [keywords, setKeywords] = useState([]);
   const [creating, setCreating] = useState(null); // keyword_id being created
+  const [page, setPage] = useState(0);
 
   const load = useCallback(() => {
     const cat = category === '전체' ? undefined : category;
@@ -533,6 +535,23 @@ function KeywordsPanel({ onCreateSlate }) {
   }, [category]);
 
   useEffect(() => { load(); }, [load]);
+  useEffect(() => { setPage(0); }, [category]); // 카테고리 변경 시 첫 페이지로
+
+  // 동일 keyword 중복 제거(최고 score 1개만 유지) + score 내림차순
+  const deduped = useMemo(() => {
+    const best = new Map();
+    for (const kw of keywords) {
+      const name = (kw.keyword || '').trim();
+      if (!name) continue;
+      const prev = best.get(name);
+      if (!prev || (kw.score ?? 0) > (prev.score ?? 0)) best.set(name, kw);
+    }
+    return [...best.values()].sort((a, b) => (b.score ?? 0) - (a.score ?? 0));
+  }, [keywords]);
+
+  const totalPages = Math.max(1, Math.ceil(deduped.length / KEYWORDS_PER_PAGE));
+  const safePage = Math.min(page, totalPages - 1);
+  const pageItems = deduped.slice(safePage * KEYWORDS_PER_PAGE, safePage * KEYWORDS_PER_PAGE + KEYWORDS_PER_PAGE);
 
   // 부모(InstaCards)의 handleCreateSlate에 위임 — progress 배너 + 스크롤 + 자동 미리보기 공통화
   async function handleCreate(kw) {
@@ -568,11 +587,12 @@ function KeywordsPanel({ onCreateSlate }) {
 
       {/* progress 표시는 상단 ic-slate-progress 배너에서 일괄 처리 */}
 
-      {keywords.length === 0 ? (
+      {deduped.length === 0 ? (
         <div className="ic-empty">키워드가 없습니다. 키워드 추출을 실행하세요.</div>
       ) : (
+        <>
           <div className="ic-keywords">
-          {keywords.map((kw) => (
+            {pageItems.map((kw) => (
               <div key={kw.id} className="ic-keyword-row">
                 <span className="ic-keyword-row__kw">{kw.keyword}</span>
                 <span className="ic-keyword-row__meta">
@@ -589,6 +609,25 @@ function KeywordsPanel({ onCreateSlate }) {
               </div>
             ))}
           </div>
+
+          {totalPages > 1 && (
+            <div className="ic-keywords__pager">
+              <button
+                className="ic-pager-btn"
+                onClick={() => setPage((p) => Math.max(0, p - 1))}
+                disabled={safePage === 0}
+                aria-label="이전 키워드"
+              >←</button>
+              <span className="ic-pager-info">{safePage + 1} / {totalPages}</span>
+              <button
+                className="ic-pager-btn"
+                onClick={() => setPage((p) => Math.min(totalPages - 1, p + 1))}
+                disabled={safePage >= totalPages - 1}
+                aria-label="다음 키워드"
+              >→</button>
+            </div>
+          )}
+        </>
       )}
     </div>
   );

src/pages/lotto/Evolver.css

@@ -0,0 +1,194 @@
+/* Evolver tab — dark theme matching Lotto.css patterns */
+
+.lotto-evolver { display: flex; flex-direction: column; gap: 16px; }
+.lotto-evolver-muted { color: #94a3b8; }
+
+.lotto-evolver-intro {
+    display: flex; justify-content: space-between; align-items: center;
+    gap: 12px; flex-wrap: wrap;
+}
+.lotto-evolver-sub { margin: 0; color: #94a3b8; font-size: 0.9rem; flex: 1; }
+.lotto-evolver-refresh {
+    padding: 6px 12px;
+    background: rgba(255,255,255,0.06);
+    border: 1px solid rgba(255,255,255,0.1);
+    border-radius: 6px;
+    color: #cbd5e1;
+    cursor: pointer;
+    font-size: 0.85rem;
+}
+.lotto-evolver-refresh:hover { background: rgba(255,255,255,0.1); }
+
+/* Generic card */
+.evolver-card {
+    background: rgba(255,255,255,0.04);
+    border: 1px solid rgba(255,255,255,0.08);
+    border-radius: 12px;
+    padding: 18px 20px;
+    color: #e2e8f0;
+}
+.evolver-card h2 {
+    margin: 0 0 12px;
+    font-size: 1rem;
+    font-weight: 600;
+    color: #f1f5f9;
+    display: flex;
+    justify-content: space-between;
+    align-items: center;
+    gap: 8px;
+}
+.evolver-card .badge {
+    background: rgba(52,211,153,0.15);
+    color: #34d399;
+    padding: 2px 10px;
+    border-radius: 4px;
+    font-size: 0.7rem;
+    font-weight: 500;
+}
+.evolver-card.empty .muted, .evolver-card .muted { color: #64748b; }
+
+.lotto-evolver-empty h3 { margin: 0 0 6px; color: #f1f5f9; }
+.lotto-evolver-empty p { color: #94a3b8; margin: 0 0 12px; }
+
+/* WinnerCard */
+.winner-card .winner-meta {
+    display: flex; gap: 16px; flex-wrap: wrap;
+    color: #94a3b8; font-size: 0.85rem; margin-bottom: 14px;
+}
+.winner-card .winner-meta strong { color: #f1f5f9; font-weight: 600; }
+.winner-card .winner-chart { background: rgba(0,0,0,0.15); border-radius: 8px; padding: 8px; }
+
+/* TrialsGrid */
+.trials-grid .grid {
+    display: grid; grid-template-columns: repeat(6, 1fr);
+    gap: 8px; height: 140px; align-items: end;
+}
+.trial-cell {
+    border: 1px solid rgba(255,255,255,0.06);
+    background: rgba(255,255,255,0.03);
+    border-radius: 6px;
+    padding: 8px 4px;
+    display: flex; flex-direction: column;
+    align-items: center; justify-content: end;
+    cursor: pointer;
+    height: 100%;
+    color: #cbd5e1;
+    transition: background 0.15s;
+}
+.trial-cell:hover { background: rgba(255,255,255,0.06); }
+.trial-cell.winner { background: rgba(52,211,153,0.12); border-color: rgba(52,211,153,0.3); }
+.trial-cell .bar {
+    width: 80%;
+    background: #475569;
+    border-radius: 3px 3px 0 0;
+    min-height: 4px;
+}
+.trial-cell.winner .bar { background: #34d399; }
+.trial-cell .label { font-size: 0.85rem; margin-top: 6px; color: #e2e8f0; }
+.trial-cell .max-correct { font-size: 0.7rem; color: #94a3b8; }
+.trial-detail {
+    margin-top: 14px; padding: 12px;
+    background: rgba(0,0,0,0.15);
+    border-radius: 6px;
+    color: #cbd5e1;
+    font-size: 0.85rem;
+}
+.trial-detail h3 { margin: 0 0 8px; font-size: 0.9rem; color: #f1f5f9; }
+.trial-detail ul { margin: 8px 0 0; padding-left: 18px; }
+.trial-detail li { margin-bottom: 4px; }
+
+/* BaseDiff */
+.base-diff .diff-grid {
+    display: grid; grid-template-columns: repeat(5, 1fr); gap: 8px;
+}
+.metric-card {
+    padding: 12px 8px;
+    background: rgba(255,255,255,0.03);
+    border: 1px solid rgba(255,255,255,0.06);
+    border-radius: 8px;
+    text-align: center;
+    color: #cbd5e1;
+}
+.metric-card .metric-name {
+    color: #94a3b8;
+    font-size: 0.7rem;
+    text-transform: uppercase;
+    letter-spacing: 0.05em;
+}
+.metric-card .metric-values { margin: 6px 0; font-size: 0.8rem; }
+.metric-card .metric-values strong { color: #f1f5f9; }
+.metric-card .metric-diff { font-weight: 600; font-size: 0.8rem; }
+.metric-card.up .metric-diff, .metric-card.up-big .metric-diff { color: #34d399; }
+.metric-card.down .metric-diff, .metric-card.down-big .metric-diff { color: #f87171; }
+.metric-card.eq .metric-diff { color: #64748b; }
+
+/* BaseHistory chart container */
+.base-history { background: rgba(255,255,255,0.04); }
+
+/* ActivityCard — scrollable */
+.activity-card .activity-list {
+    list-style: none;
+    padding: 0;
+    margin: 0;
+    max-height: 420px;
+    overflow-y: auto;
+    overscroll-behavior: contain;
+}
+.activity-card .activity-list::-webkit-scrollbar { width: 6px; }
+.activity-card .activity-list::-webkit-scrollbar-thumb {
+    background: rgba(255,255,255,0.15); border-radius: 3px;
+}
+.activity-item {
+    display: grid;
+    grid-template-columns: 24px 1fr auto;
+    gap: 10px;
+    padding: 10px 4px;
+    border-bottom: 1px solid rgba(255,255,255,0.05);
+    color: #cbd5e1;
+    font-size: 0.85rem;
+}
+.activity-item:last-child { border-bottom: none; }
+.activity-item .icon { font-size: 1rem; text-align: center; }
+.activity-item .body .line { color: #e2e8f0; }
+.activity-item .body strong { color: #f1f5f9; }
+.activity-item .ts {
+    color: #64748b;
+    font-size: 0.75rem;
+    white-space: nowrap;
+    align-self: center;
+}
+.activity-item .status.ok { color: #34d399; }
+.activity-item .status.err { color: #f87171; }
+.activity-item .status.pending { color: #fbbf24; }
+.activity-item .detail { color: #94a3b8; font-size: 0.78rem; margin-top: 2px; }
+
+/* EvolverActions */
+.actions-card .action-buttons { display: flex; gap: 8px; flex-wrap: wrap; }
+.actions-card button {
+    padding: 8px 14px;
+    background: rgba(52,211,153,0.15);
+    color: #34d399;
+    border: 1px solid rgba(52,211,153,0.3);
+    border-radius: 6px;
+    cursor: pointer;
+    font-size: 0.85rem;
+}
+.actions-card button:hover:not(:disabled) { background: rgba(52,211,153,0.25); }
+.actions-card button:disabled { opacity: 0.5; cursor: wait; }
+.action-output {
+    background: rgba(0,0,0,0.3);
+    color: #94a3b8;
+    padding: 12px;
+    border-radius: 6px;
+    margin-top: 12px;
+    max-height: 200px;
+    overflow: auto;
+    font-size: 0.75rem;
+}
+
+@media (max-width: 640px) {
+    .trials-grid .grid { grid-template-columns: repeat(3, 1fr); height: auto; }
+    .base-diff .diff-grid { grid-template-columns: repeat(3, 1fr); }
+    .lotto-evolver-intro { flex-direction: column; align-items: stretch; }
+    .activity-card .activity-list { max-height: 360px; }
+}

src/pages/lotto/Evolver.jsx

@@ -0,0 +1,7 @@
+import React from 'react';
+import Lotto from './Lotto';
+
+// /lotto/evolver URL → Lotto 페이지가 useLocation으로 활성 탭 자동 선택
+export default function Evolver() {
+    return <Lotto />;
+}

src/pages/lotto/Functions.jsx

@@ -2,6 +2,7 @@ import { useCallback, useState } from 'react';
 import BriefingTab from './tabs/BriefingTab';
 import AnalysisTab from './tabs/AnalysisTab';
 import PurchaseTab from './tabs/PurchaseTab';
+import EvolverTab from './tabs/EvolverTab';
 import { useIsMobile } from '../../hooks/useIsMobile';
 import SwipeableView from '../../components/SwipeableView';
 
@@ -9,10 +10,19 @@ const TABS = [
     { id: 'briefing', label: '🗓 이번 주 브리핑' },
     { id: 'analysis', label: '📚 자료실 / Deep Dive' },
     { id: 'purchase', label: '💰 구매·성과' },
+    { id: 'evolver',  label: '🧬 자율 학습' },
 ];
 
-export default function Functions() {
+function renderTab(id) {
-    const [tab, setTab] = useState('briefing');
+    if (id === 'briefing') return <BriefingTab />;
+    if (id === 'analysis') return <AnalysisTab />;
+    if (id === 'purchase') return <PurchaseTab />;
+    if (id === 'evolver')  return <EvolverTab />;
+    return null;
+}
+
+export default function Functions({ initialTab = 'briefing' }) {
+    const [tab, setTab] = useState(initialTab);
     const isMobile = useIsMobile();
 
     const tabIndex = TABS.findIndex(t => t.id === tab);
@@ -28,7 +38,7 @@ export default function Functions() {
                     tabs={TABS.map(t => ({
                         key: t.id,
                         label: t.label,
-                        content: t.id === 'briefing' ? <BriefingTab /> : t.id === 'analysis' ? <AnalysisTab /> : <PurchaseTab />,
+                        content: renderTab(t.id),
                     }))}
                     activeIndex={tabIndex}
                     onTabChange={handleTabChange}
@@ -45,9 +55,7 @@ export default function Functions() {
                         ))}
                     </nav>
                     <div className="lotto-tab-body">
-                        {tab === 'briefing' && <BriefingTab />}
+                        {renderTab(tab)}
-                        {tab === 'analysis' && <AnalysisTab />}
-                        {tab === 'purchase' && <PurchaseTab />}
                     </div>
                 </>
             )}

src/pages/lotto/Lotto.jsx

@@ -1,8 +1,12 @@
 import React from 'react';
+import { useLocation } from 'react-router-dom';
 import Functions from './Functions';
 import './Lotto.css';
 
 const Lotto = () => {
+    const location = useLocation();
+    const initialTab = location.pathname.endsWith('/evolver') ? 'evolver' : 'briefing';
+
     return (
         <div className="lotto">
             <header className="lotto-header">
@@ -15,16 +19,17 @@ const Lotto = () => {
                     </p>
                 </div>
                 <div className="lotto-card">
-                    <p className="lotto-card__title">시뮬레이션 추천 시스템</p>
+                    <p className="lotto-card__title">자율 학습 시뮬레이션</p>
                     <ul>
-                        <li>하루 6회 몬테카를로 시뮬레이션 자동 실행</li>
+                        <li>매주 6가지 가중치 시도 → 토요일 회고로 best base 학습</li>
-                        <li>20,000개 후보를 5가지 통계 기법으로 스코어링</li>
+                        <li>능동 시그널 모니터링 (Sim·Drift·Confidence z-score) + 텔레그램 알림</li>
-                        <li>핫·콜드·오버듀 번호 통계 분석 제공</li>
+                        <li>4시간마다 몬테카를로 20,000 후보 × 5종 점수 가중 평가</li>
+                        <li>AI 큐레이터 + 핫·콜드·오버듀 통계 분석</li>
                     </ul>
                 </div>
             </header>
 
-            <Functions />
+            <Functions initialTab={initialTab} />
         </div>
     );
 };

src/pages/lotto/evolver/BaseDiff.jsx

@@ -0,0 +1,44 @@
+import React from 'react';
+
+const METRIC_NAMES = ['freq', 'finger', 'gap', 'cooccur', 'divers'];
+
+function diffMarker(diff) {
+    if (Math.abs(diff) < 0.005) return { mark: '=', cls: 'eq' };
+    if (diff > 0) return diff < 0.05 ? { mark: '↑', cls: 'up' } : { mark: '↑↑', cls: 'up-big' };
+    return diff > -0.05 ? { mark: '↓', cls: 'down' } : { mark: '↓↓', cls: 'down-big' };
+}
+
+export default function BaseDiff({ previousBase, newBase, updateReason }) {
+    if (!previousBase || !newBase) {
+        return (
+            <div className="evolver-card base-diff empty">
+                <h2>다음주 base 변경</h2>
+                <p className="muted">아직 base 변경 이력 없음.</p>
+            </div>
+        );
+    }
+    return (
+        <div className="evolver-card base-diff">
+            <h2>다음주 base 변경 {updateReason && <span className="badge">{updateReason}</span>}</h2>
+            <div className="diff-grid">
+                {METRIC_NAMES.map((name, i) => {
+                    const prev = previousBase[i] || 0;
+                    const next = newBase[i] || 0;
+                    const diff = next - prev;
+                    const { mark, cls } = diffMarker(diff);
+                    return (
+                        <div key={name} className={`metric-card ${cls}`}>
+                            <div className="metric-name">{name}</div>
+                            <div className="metric-values">
+                                {prev.toFixed(2)} → <strong>{next.toFixed(2)}</strong>
+                            </div>
+                            <div className="metric-diff">
+                                {mark} {diff >= 0 ? '+' : ''}{(diff * 100).toFixed(0)}%p
+                            </div>
+                        </div>
+                    );
+                })}
+            </div>
+        </div>
+    );
+}

src/pages/lotto/evolver/BaseHistory.jsx

@@ -0,0 +1,48 @@
+import React from 'react';
+import {
+    LineChart, Line, XAxis, YAxis, CartesianGrid, Tooltip, Legend, ResponsiveContainer,
+} from 'recharts';
+
+const METRIC_NAMES = ['freq', 'finger', 'gap', 'cooccur', 'divers'];
+const COLORS = ['#34d399', '#60a5fa', '#fbbf24', '#f43f5e', '#c084fc'];
+
+export default function BaseHistory({ history }) {
+    if (!history || history.length === 0) {
+        return (
+            <div className="evolver-card base-history empty">
+                <h2>12주 Base 변화</h2>
+                <p className="muted">학습 이력이 부족합니다.</p>
+            </div>
+        );
+    }
+
+    const data = history
+        .slice()
+        .reverse()
+        .map(h => {
+            const w = h.weight || [0, 0, 0, 0, 0];
+            return {
+                date: (h.effective_from || '').slice(5),
+                freq: w[0], finger: w[1], gap: w[2], cooccur: w[3], divers: w[4],
+                reason: h.update_reason,
+            };
+        });
+
+    return (
+        <div className="evolver-card base-history">
+            <h2>Base 변화 (최근 {history.length}주)</h2>
+            <ResponsiveContainer width="100%" height={280}>
+                <LineChart data={data}>
+                    <CartesianGrid strokeDasharray="3 3" />
+                    <XAxis dataKey="date" />
+                    <YAxis domain={[0, 0.5]} />
+                    <Tooltip />
+                    <Legend />
+                    {METRIC_NAMES.map((name, i) => (
+                        <Line key={name} type="monotone" dataKey={name} stroke={COLORS[i]} dot />
+                    ))}
+                </LineChart>
+            </ResponsiveContainer>
+        </div>
+    );
+}

src/pages/lotto/evolver/EvolverActions.jsx

@@ -0,0 +1,37 @@
+import React, { useState } from 'react';
+import { triggerEvolverGenerate, triggerEvolverEvaluate } from '../../../api';
+
+export default function EvolverActions({ onChange }) {
+    const [busy, setBusy] = useState(null);
+    const [out, setOut] = useState(null);
+
+    async function run(kind) {
+        setBusy(kind);
+        setOut(null);
+        try {
+            const fn = kind === 'generate' ? triggerEvolverGenerate : triggerEvolverEvaluate;
+            const res = await fn();
+            setOut(res);
+            onChange && onChange();
+        } catch (e) {
+            setOut({ error: String(e) });
+        } finally {
+            setBusy(null);
+        }
+    }
+
+    return (
+        <div className="evolver-card actions-card">
+            <h2>수동 트리거 (dev)</h2>
+            <div className="action-buttons">
+                <button disabled={!!busy} onClick={() => run('generate')}>
+                    {busy === 'generate' ? '생성 중...' : 'generate-now (월요일 후보 생성)'}
+                </button>
+                <button disabled={!!busy} onClick={() => run('evaluate')}>
+                    {busy === 'evaluate' ? '평가 중...' : 'evaluate-now (회고 + base 갱신)'}
+                </button>
+            </div>
+            {out && <pre className="action-output">{JSON.stringify(out, null, 2)}</pre>}
+        </div>
+    );
+}

src/pages/lotto/evolver/LottoActivityTimeline.jsx

@@ -0,0 +1,91 @@
+import React from 'react';
+
+const ICONS = {
+    curate_weekly: '📋',
+    signal_check: '🔍',
+    daily_digest: '📊',
+    weekly_evolution_report: '🧬',
+    evolver_generate: '🌱',
+    evolver_apply: '🎲',
+};
+
+const STATUS_CLS = {
+    succeeded: 'ok',
+    failed: 'err',
+    working: 'pending',
+    pending: 'pending',
+};
+
+function formatTaskDetail(t) {
+    const r = t.result_data || {};
+    switch (t.task_type) {
+        case 'signal_check': return `${r.source} → ${r.overall_fire} (${r.n_results} results)`;
+        case 'daily_digest': return `평가 ${r.evaluated} / 발화 ${r.fired}`;
+        case 'weekly_evolution_report': return `draw=${r.draw_no} reason=${r.update_reason}`;
+        case 'evolver_apply': return `${r.n_picks}세트 추출`;
+        case 'evolver_generate': return `${r.trials_count} trials 생성`;
+        case 'curate_weekly': return `draw=${r.draw_no || '?'} conf=${r.confidence || '?'}`;
+        default: return '';
+    }
+}
+
+function renderItem(item) {
+    const ts = (item.ts || '').replace('T', ' ').slice(0, 19);
+    if (item.kind === 'task') {
+        const t = item.payload;
+        const icon = ICONS[t.task_type] || '⚙️';
+        const cls = STATUS_CLS[t.status] || '';
+        const detail = formatTaskDetail(t);
+        return (
+            <li key={`task-${t.id}`} className={`activity-item task ${cls}`}>
+                <span className="icon">{icon}</span>
+                <div className="body">
+                    <div className="line"><strong>{t.task_type}</strong> · <span className={`status ${cls}`}>{t.status}</span></div>
+                    {detail && <div className="detail">{detail}</div>}
+                </div>
+                <span className="ts">{ts}</span>
+            </li>
+        );
+    }
+    if (item.kind === 'log') {
+        const l = item.payload;
+        return (
+            <li key={`log-${l.id}`} className={`activity-item log level-${l.level}`}>
+                <span className="icon">{l.level === 'error' ? '❌' : l.level === 'warning' ? '⚠️' : '·'}</span>
+                <div className="body"><div className="line">{l.message}</div></div>
+                <span className="ts">{ts}</span>
+            </li>
+        );
+    }
+    if (item.kind === 'evolver') {
+        const e = item.payload;
+        return (
+            <li key={`evolver-${e.id}`} className="activity-item evolver">
+                <span className="icon">⚖️</span>
+                <div className="body">
+                    <div className="line"><strong>weight_evolver_eval</strong> (lotto-lab)</div>
+                    <div className="detail">reason={e.update_reason} winner_max={e.winner_max_correct}</div>
+                </div>
+                <span className="ts">{ts}</span>
+            </li>
+        );
+    }
+    return null;
+}
+
+export default function LottoActivityTimeline({ activity = [], days = 7 }) {
+    if (!activity || activity.length === 0) {
+        return (
+            <div className="evolver-card activity-card empty">
+                <h2>최근 활동</h2>
+                <p className="muted">지난 {days}일 활동 없음.</p>
+            </div>
+        );
+    }
+    return (
+        <div className="evolver-card activity-card">
+            <h2>최근 {days}일 에이전트 활동 ({activity.length})</h2>
+            <ul className="activity-list">{activity.map(renderItem)}</ul>
+        </div>
+    );
+}

src/pages/lotto/evolver/TrialsGrid.jsx

@@ -0,0 +1,56 @@
+import React, { useState } from 'react';
+
+const DAY_NAMES = ['월', '화', '수', '목', '금', '토'];
+
+export default function TrialsGrid({ trials, perDay, winnerTrialId }) {
+    const [expanded, setExpanded] = useState(null);
+
+    const byDow = {};
+    for (const t of trials || []) byDow[t.day_of_week] = t;
+
+    const perDayByDow = {};
+    for (const d of perDay || []) perDayByDow[d.day_of_week] = d;
+
+    const maxScore = Math.max(...(perDay || []).map(d => d.avg_score || 0), 0.001);
+
+    return (
+        <div className="evolver-card trials-grid">
+            <h2>이번주 6일 Trials</h2>
+            <div className="grid">
+                {DAY_NAMES.map((name, dow) => {
+                    const trial = byDow[dow];
+                    const day = perDayByDow[dow];
+                    const isWinner = trial && trial.id === winnerTrialId;
+                    const heightPct = day ? (day.avg_score / maxScore) * 100 : 0;
+                    return (
+                        <button
+                            key={dow}
+                            type="button"
+                            className={`trial-cell ${isWinner ? 'winner' : ''} ${expanded === dow ? 'expanded' : ''}`}
+                            onClick={() => setExpanded(expanded === dow ? null : dow)}
+                        >
+                            <div className="bar" style={{ height: `${heightPct}%` }} />
+                            <span className="label">{name}{isWinner && '⭐'}</span>
+                            {day && <span className="max-correct">max={day.max_correct}</span>}
+                        </button>
+                    );
+                })}
+            </div>
+            {expanded !== null && byDow[expanded] && (
+                <div className="trial-detail">
+                    <h3>{DAY_NAMES[expanded]}요일 상세</h3>
+                    <p>W = [{(byDow[expanded].weight || []).map(w => w.toFixed(2)).join(', ')}]</p>
+                    <ul>
+                        {(byDow[expanded].picks || []).map(p => (
+                            <li key={p.id}>
+                                {(p.numbers || []).join(', ')} —
+                                score {(p.meta_score || 0).toFixed(3)}
+                                {p.correct != null && ` · 적중 ${p.correct}개`}
+                            </li>
+                        ))}
+                    </ul>
+                </div>
+            )}
+        </div>
+    );
+}

src/pages/lotto/evolver/WinnerCard.jsx

@@ -0,0 +1,56 @@
+import React from 'react';
+import {
+    RadarChart, PolarGrid, PolarAngleAxis, PolarRadiusAxis,
+    Radar, ResponsiveContainer, Legend,
+} from 'recharts';
+
+const DAY_NAMES = ['월', '화', '수', '목', '금', '토'];
+const METRIC_NAMES = ['freq', 'finger', 'gap', 'cooccur', 'divers'];
+
+export default function WinnerCard({ winner, previousBase, updateReason, drawNo }) {
+    if (!winner) {
+        return (
+            <div className="evolver-card winner-card empty">
+                <h2>🏆 Winner</h2>
+                <p className="muted">아직 회고 결과가 없습니다.</p>
+            </div>
+        );
+    }
+
+    const dayName = DAY_NAMES[winner.day_of_week] || '?';
+    const W = winner.weight || [];
+    const prev = previousBase || [0.2, 0.2, 0.2, 0.2, 0.2];
+
+    const data = METRIC_NAMES.map((name, i) => ({
+        metric: name,
+        winner: W[i] || 0,
+        previous: prev[i] || 0,
+    }));
+
+    return (
+        <div className="evolver-card winner-card">
+            <header>
+                <h2>🏆 Winner: {dayName}요일</h2>
+                {updateReason && <span className="badge">{updateReason}</span>}
+            </header>
+            <div className="winner-meta">
+                <span>최고 적중 <strong>{winner.max_correct}개</strong></span>
+                <span>평균 점수 <strong>{(winner.avg_score || 0).toFixed(2)}</strong></span>
+                <span>{winner.n_picks}/5 picks</span>
+                {drawNo && <span>{drawNo}회차</span>}
+            </div>
+            <div className="winner-chart">
+                <ResponsiveContainer width="100%" height={300}>
+                    <RadarChart data={data}>
+                        <PolarGrid />
+                        <PolarAngleAxis dataKey="metric" />
+                        <PolarRadiusAxis angle={90} domain={[0, 0.5]} />
+                        <Radar name="이번주 winner" dataKey="winner" stroke="#34d399" fill="#34d399" fillOpacity={0.4} />
+                        <Radar name="이전 base" dataKey="previous" stroke="#999" fill="#999" fillOpacity={0.1} />
+                        <Legend />
+                    </RadarChart>
+                </ResponsiveContainer>
+            </div>
+        </div>
+    );
+}

src/pages/lotto/evolver/useEvolverApi.js

@@ -0,0 +1,60 @@
+import { useEffect, useState, useCallback } from 'react';
+import {
+    fetchEvolverStatus,
+    fetchEvolverHistory,
+    fetchLottoTasks,
+    fetchLottoLogs,
+} from '../../../api';
+
+
+function mergeActivityStream({ logs, tasks, evolverEvents }) {
+    const stream = [];
+    for (const l of logs.items || []) {
+        stream.push({ ts: l.created_at, kind: 'log', payload: l });
+    }
+    for (const t of tasks.items || tasks.tasks || []) {
+        stream.push({ ts: t.created_at, kind: 'task', payload: t });
+    }
+    for (const e of evolverEvents) {
+        stream.push({ ts: e.created_at, kind: 'evolver', payload: e });
+    }
+    stream.sort((a, b) => (b.ts || '').localeCompare(a.ts || ''));
+    return stream;
+}
+
+
+export function useEvolverApi({ days = 7, weeks = 12 } = {}) {
+    const [status, setStatus] = useState(null);
+    const [history, setHistory] = useState({ items: [] });
+    const [activity, setActivity] = useState([]);
+    const [loading, setLoading] = useState(true);
+    const [error, setError] = useState(null);
+
+    const refetch = useCallback(async () => {
+        setLoading(true);
+        setError(null);
+        try {
+            const [s, h, t, l] = await Promise.all([
+                fetchEvolverStatus(),
+                fetchEvolverHistory(weeks),
+                fetchLottoTasks({ days }),
+                fetchLottoLogs({ days }),
+            ]);
+            setStatus(s);
+            setHistory(h);
+            setActivity(mergeActivityStream({
+                logs: l,
+                tasks: t,
+                evolverEvents: h.items || [],
+            }));
+        } catch (e) {
+            setError(e);
+        } finally {
+            setLoading(false);
+        }
+    }, [days, weeks]);
+
+    useEffect(() => { refetch(); }, [refetch]);
+
+    return { status, history, activity, loading, error, refetch };
+}

src/pages/lotto/tabs/EvolverTab.jsx

@@ -0,0 +1,78 @@
+import React from 'react';
+import '../Evolver.css';
+import { useEvolverApi } from '../evolver/useEvolverApi';
+import WinnerCard from '../evolver/WinnerCard';
+import TrialsGrid from '../evolver/TrialsGrid';
+import BaseDiff from '../evolver/BaseDiff';
+import BaseHistory from '../evolver/BaseHistory';
+import LottoActivityTimeline from '../evolver/LottoActivityTimeline';
+import EvolverActions from '../evolver/EvolverActions';
+
+export default function EvolverTab() {
+    const { status, history, activity, loading, error, refetch } = useEvolverApi({ days: 7, weeks: 12 });
+
+    if (loading) return <div className="lotto-evolver"><p className="lotto-evolver-muted">로딩 중...</p></div>;
+    if (error) return <div className="lotto-evolver"><p className="lotto-evolver-muted">에러: {String(error)}</p></div>;
+
+    const latestBase = (history.items || [])[0];
+    const previousBase = (history.items || [])[1]?.weight || status?.current_base || [0.2, 0.2, 0.2, 0.2, 0.2];
+    const newBase = latestBase?.weight || status?.current_base;
+
+    const trials = status?.trials || [];
+    const winnerTrialId = latestBase?.source_trial_id;
+    const winnerTrial = trials.find(t => t.id === winnerTrialId);
+    const winnerInfo = winnerTrial ? {
+        day_of_week: winnerTrial.day_of_week,
+        weight: winnerTrial.weight,
+        avg_score: latestBase?.winner_score,
+        max_correct: latestBase?.winner_max_correct,
+        n_picks: (winnerTrial.picks || []).length,
+    } : null;
+
+    const perDay = trials.map(t => ({
+        day_of_week: t.day_of_week,
+        trial_id: t.id,
+        avg_score: (t.picks || []).reduce((s, p) => s + (p.meta_score || 0), 0) / Math.max(1, (t.picks || []).length),
+        max_correct: Math.max(0, ...(t.picks || []).map(p => p.correct || 0)),
+    }));
+
+    const hasBase = (history.items || []).length > 0;
+
+    return (
+        <div className="lotto-evolver">
+            <div className="lotto-evolver-intro">
+                <p className="lotto-evolver-sub">
+                    매주 6가지 가중치를 시도해서 best 조합을 다음주 base로 학습합니다.
+                    {status?.latest_draw && ` 마지막 회차: ${status.latest_draw}회.`}
+                </p>
+                <button className="lotto-evolver-refresh" onClick={refetch}>↻ 새로고침</button>
+            </div>
+
+            {!hasBase ? (
+                <div className="evolver-card lotto-evolver-empty">
+                    <h3>아직 학습 시작 전</h3>
+                    <p>다음 월요일 09:00에 자동 시작 또는 수동 트리거 사용.</p>
+                    <EvolverActions onChange={refetch} />
+                </div>
+            ) : (
+                <>
+                    <WinnerCard
+                        winner={winnerInfo}
+                        previousBase={previousBase}
+                        updateReason={latestBase?.update_reason}
+                        drawNo={status?.latest_draw}
+                    />
+                    <TrialsGrid trials={trials} perDay={perDay} winnerTrialId={winnerTrialId} />
+                    <BaseDiff
+                        previousBase={previousBase}
+                        newBase={newBase}
+                        updateReason={latestBase?.update_reason}
+                    />
+                    <BaseHistory history={history.items || []} />
+                    <LottoActivityTimeline activity={activity} days={7} />
+                    <EvolverActions onChange={refetch} />
+                </>
+            )}
+        </div>
+    );
+}

src/pages/stock/hooks/usePortfolio.js

@@ -3,7 +3,7 @@ import {
     getPortfolio, addPortfolio, updatePortfolio, deletePortfolio,
     upsertCash, deleteCash,
 } from '../../../api';
-import { emptyPortfolioForm } from '../stockUtils';
+import { emptyPortfolioForm, computeBrokerSummary } from '../stockUtils';
 
 export default function usePortfolio() {
     const [portfolio, setPortfolio] = useState(null);
@@ -38,7 +38,12 @@ export default function usePortfolio() {
 
     /* derived */
     const portfolioHoldings = portfolio?.holdings ?? [];
-    const portfolioSummary = portfolio?.summary ?? {};
+    // 총 매입은 "각 종목 매입가의 단순 합(수량 미곱산)"으로 표시 (박재오 정의).
+    // 백엔드 summary.total_buy(매입가×수량)는 무시하고 프론트에서 재계산해
+    // 요약카드·증권사별·AI 프롬프트가 모두 같은 값을 쓰도록 통일.
+    const portfolioSummary = portfolioHoldings.length
+        ? { ...(portfolio?.summary ?? {}), total_buy: computeBrokerSummary(portfolioHoldings).totalBuy }
+        : (portfolio?.summary ?? {});
     const cashList = portfolio?.cash ?? [];
     const totalCash = portfolioSummary.total_cash ?? null;
     const totalAssets = portfolioSummary.total_assets ?? null;
@@ -69,23 +74,7 @@ export default function usePortfolio() {
         return map;
     }, [brokerGroups]);
 
-    const getBrokerSummary = (items) => {
+    const getBrokerSummary = computeBrokerSummary;
-        // totalBuy: 요약 표시용 (매입가 purchase_price 기준)
-        // totalCostBasis: 손익 계산용 (평균단가 avg_price 기준)
-        let totalBuy = 0, totalCostBasis = 0, totalEvalAmt = 0, hasNullPrice = false;
-        for (const item of items) {
-            const qty = item.quantity ?? 0;
-            const purchase = item.purchase_price ?? item.avg_price ?? 0;
-            // 총 매입 = 종목별 매입가의 단순 합 (수량 미곱산)
-            totalBuy += purchase;
-            totalCostBasis += (item.avg_price ?? 0) * qty;
-            if (item.eval_amount != null) totalEvalAmt += item.eval_amount;
-            else hasNullPrice = true;
-        }
-        const totalProfit = totalEvalAmt - totalCostBasis;
-        const totalProfitRate = totalCostBasis > 0 ? (totalProfit / totalCostBasis) * 100 : 0;
-        return { totalBuy, totalEval: totalEvalAmt, totalProfit, totalProfitRate, hasNullPrice };
-    };
 
     /* loaders */
     const loadPortfolio = useCallback(async () => {

src/pages/stock/stockUtils.js

@@ -125,6 +125,25 @@ export const emptySellForm = () => ({
     sold_at: toLocalDatetimeValue(new Date().toISOString()),
 });
 
+/* ── 증권사별 요약 집계 ──────────────────────────────────────────── */
+// totalBuy: 총 매입 = 각 종목 매입가(purchase_price)의 단순 합 (수량 미곱산, 박재오 정의).
+//           매입가 미설정 시 avg_price 폴백. 백엔드 total_buy(×수량)는 표시에 쓰지 않음.
+// totalCostBasis: 손익 계산용 매입원가 = SUM(avg_price × quantity) — 손익은 수량 곱산 유지.
+export const computeBrokerSummary = (items) => {
+    let totalBuy = 0, totalCostBasis = 0, totalEval = 0, hasNullPrice = false;
+    for (const item of items) {
+        const qty = item.quantity ?? 0;
+        const purchase = item.purchase_price ?? item.avg_price ?? 0;
+        totalBuy += purchase;
+        totalCostBasis += (item.avg_price ?? 0) * qty;
+        if (item.eval_amount != null) totalEval += item.eval_amount;
+        else hasNullPrice = true;
+    }
+    const totalProfit = totalEval - totalCostBasis;
+    const totalProfitRate = totalCostBasis > 0 ? (totalProfit / totalCostBasis) * 100 : 0;
+    return { totalBuy, totalEval, totalProfit, totalProfitRate, hasNullPrice };
+};
+
 /* ── TAB IDs ─────────────────────────────────────────────────────── */
 
 export const TAB_PORTFOLIO = 'portfolio';

src/pages/stock/stockUtils.test.js

@@ -0,0 +1,48 @@
+import { describe, it, expect } from 'vitest';
+import { computeBrokerSummary } from './stockUtils.js';
+
+describe('computeBrokerSummary - 총 매입(total_buy) 계산', () => {
+    it('총 매입 = 각 종목 매입가(purchase_price)의 단순 합 (수량 미곱산)', () => {
+        const items = [
+            { quantity: 100, avg_price: 72000, purchase_price: 70000, eval_amount: 7450000 },
+        ];
+        // 매입가 70000 (수량 곱하지 않음)
+        expect(computeBrokerSummary(items).totalBuy).toBe(70_000);
+    });
+
+    it('purchase_price 미설정 시 avg_price로 폴백 (단순 합)', () => {
+        const items = [
+            { quantity: 100, avg_price: 72000, purchase_price: null, eval_amount: 7450000 },
+        ];
+        // 매입가 미입력 → 평균단가 72000 폴백
+        expect(computeBrokerSummary(items).totalBuy).toBe(72_000);
+    });
+
+    it('여러 종목 합산: 각 매입가의 단순 합', () => {
+        const items = [
+            { quantity: 100, avg_price: 70000, purchase_price: 70000, eval_amount: 7500000 },
+            { quantity: 50, avg_price: 130000, purchase_price: 130000, eval_amount: 6800000 },
+        ];
+        // 70000 + 130000 = 200,000 (수량 미곱산)
+        expect(computeBrokerSummary(items).totalBuy).toBe(200_000);
+    });
+
+    it('손익 = 총 평가 - 매입원가(avg_price × qty) — 손익은 수량 곱산 유지', () => {
+        const items = [
+            { quantity: 10, avg_price: 100000, purchase_price: 90000, eval_amount: 1_200_000 },
+        ];
+        const s = computeBrokerSummary(items);
+        // cost_basis = 100000 × 10 = 1,000,000; profit = 1,200,000 - 1,000,000 = 200,000
+        expect(s.totalEval).toBe(1_200_000);
+        expect(s.totalProfit).toBe(200_000);
+        expect(s.totalProfitRate).toBeCloseTo(20, 5);
+        expect(s.hasNullPrice).toBe(false);
+    });
+
+    it('eval_amount가 null인 종목이 있으면 hasNullPrice=true', () => {
+        const items = [
+            { quantity: 10, avg_price: 100000, purchase_price: 100000, eval_amount: null },
+        ];
+        expect(computeBrokerSummary(items).hasNullPrice).toBe(true);
+    });
+});

src/routes.jsx

@@ -16,6 +16,7 @@ import {
 const Home = lazy(() => import('./pages/home/Home'));
 const Blog = lazy(() => import('./pages/blog/Blog'));
 const Lotto = lazy(() => import('./pages/lotto/Lotto'));
+const Evolver = lazy(() => import('./pages/lotto/Evolver'));
 const Travel = lazy(() => import('./pages/travel/Travel'));
 const Stock = lazy(() => import('./pages/stock/Stock'));
 const StockTrade = lazy(() => import('./pages/stock/StockTrade'));
@@ -153,6 +154,10 @@ export const appRoutes = [
         path: 'lotto',
         element: <Lotto />,
     },
+    {
+        path: 'lotto/evolver',
+        element: <Evolver />,
+    },
     {
         path: 'stock',
         element: <Stock />,