KOL count: 29 → 25 across marketing/SEO copy

Backend KOL_FEEDS trimmed from 29 to 25 (dead feeds removed). Sync all hardcoded count mentions: - layout.tsx JSON-LD, page.tsx (metric + comparison + copy) - kol/page.tsx, KolPageClient.tsx ("and 26 more" → "and 22 more") - glossary/page.tsx, opengraph-image.tsx - public/llms.txt, llms-full.txt - drop removed KOLs (Dragonfly Capital, Nic Carter) from named lists Bundles other in-flight frontend work already in the working tree. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
2026-06-09 22:55:27 +08:00
parent 9e0f6554cb
commit 4c3c8c6f87
57 changed files with 3464 additions and 1855 deletions
@@ -7,6 +7,7 @@ import { getTrades, getSignalAccuracy } from '@/lib/api'
 import type { BotTrade } from '@/types'
 import type { SignalAccuracy } from '@/lib/api'
 import { getCachedViewEnvelope, getOrCreateViewEnvelope, type SignedEnvelope } from '@/lib/signedRequest'
+import { swrFetch } from '@/lib/cache'
 import PageHint from '@/components/ui/PageHint'
 import InfoTip from '@/components/ui/InfoTip'

@@ -32,7 +33,8 @@ function fmtAccuracyPct(pct: number | null | undefined) {
  return pct == null || Number.isNaN(pct) ? '—' : `${pct.toFixed(0)}%`
 }

-function inPeriod(iso: string, period: Period) {
+function inPeriod(iso: string | null, period: Period) {
+  if (!iso) return false   // trades without closed_at are excluded from all windows
  if (period === 'All') return true
  const days = Number.parseInt(period, 10)
  if (Number.isNaN(days)) return true
@@ -42,8 +44,8 @@ function inPeriod(iso: string, period: Period) {

 function calcDrawdownPct(trades: BotTrade[]) {
  const ordered = [...trades]
-    .filter((t) => t.pnl_usd !== null && t.pnl_usd !== undefined)
-    .sort((a, b) => new Date(a.closed_at).getTime() - new Date(b.closed_at).getTime())
+    .filter((t) => t.pnl_usd !== null && t.pnl_usd !== undefined && t.closed_at !== null)
+    .sort((a, b) => new Date(a.closed_at!).getTime() - new Date(b.closed_at!).getTime())
  let equity = 0
  let peak = 0
  let maxDrawdownPct = 0
@@ -78,6 +80,14 @@ export default function AnalyticsPageClient() {
    return () => { aliveRef.current = false }
  }, [])

+  // genRef guards loadAll against stale-closure wallet-switch races.
+  // snapAddr === address inside an async function is a stale-closure trap:
+  // both refer to the same closed-over value at render time, so the check
+  // is always true even when the wallet has changed. genRef is a mutable
+  // ref that any closure can read to detect it has been superseded.
+  const genRef = useRef(0)
+  useEffect(() => { genRef.current++ }, [address])
+
  // `forcedEnv` (a freshly-minted view_user) lets the in-page Unlock button
  // load private data without a detour through the Settings page. Public
  // signal-accuracy always loads regardless.
@@ -89,25 +99,37 @@ export default function AnalyticsPageClient() {
  // disagreed with the closed_at-based metric grid on the same screen. Limit
  // raised to 500 so the local computation covers ample history.
  async function loadAll(forcedEnv?: SignedEnvelope) {
+    const accuracyPromise = swrFetch('signal-accuracy', 10 * 60_000, () => getSignalAccuracy()).catch(() => null)
+
    if (!address || !isConnected) {
-      setTrades([]); setAccuracy(null); setPrivateLocked(false)
+      setTrades([]); setPrivateLocked(false)
+      const a = await accuracyPromise
+      if (aliveRef.current) setAccuracy(a)
      return
    }
-    const tradesEnv = getCachedViewEnvelope('view_trades', address)
-      ?? (forcedEnv ?? getCachedViewEnvelope('view_user', address))
+
+    const snapAddr = address
+    const gen = genRef.current
+    const tradesEnv = getCachedViewEnvelope('view_trades', snapAddr)
+      ?? (forcedEnv ?? getCachedViewEnvelope('view_user', snapAddr))
    if (aliveRef.current) setPrivateLocked(!tradesEnv)
    try {
      const [t, a] = await Promise.all([
-        tradesEnv ? getTrades(address, tradesEnv, 500, 1).catch(() => []) : Promise.resolve([]),
-        getSignalAccuracy().catch(() => null),
+        tradesEnv ? getTrades(snapAddr, tradesEnv, 500, 1).catch(() => []) : Promise.resolve([]),
+        accuracyPromise,
      ])
-      if (aliveRef.current) { setTrades(t); setAccuracy(a) }
+      // Discard if unmounted or if a newer loadAll call has started (wallet/tab change).
+      if (aliveRef.current && gen === genRef.current) { setTrades(t); setAccuracy(a) }
    } catch {
-      if (aliveRef.current) setTrades([])
+      if (aliveRef.current && gen === genRef.current) setTrades([])
    }
  }

  useEffect(() => {
+    // B28/B36: clear stale previous-wallet data immediately before the async
+    // fetch so the UI never shows another wallet's private P&L.
+    setTrades([])
+    setPrivateLocked(false)
    // Navigation only uses a cached envelope — never auto-popup the wallet.
    void loadAll()
  // eslint-disable-next-line react-hooks/exhaustive-deps
@@ -157,7 +179,8 @@ export default function AnalyticsPageClient() {
  const bestTrade = pnls.length ? Math.max(...pnls) : 0
  const worstTrade = pnls.length ? Math.min(...pnls) : 0
  const avgTrade = pnls.length ? totalPnl / pnls.length : 0
-  const avgHold = filteredTrades.length ? filteredTrades.reduce((sum, trade) => sum + trade.hold_seconds, 0) / filteredTrades.length : 0
+  const heldTrades = filteredTrades.filter(t => t.hold_seconds !== null)
+  const avgHold = heldTrades.length ? heldTrades.reduce((sum, trade) => sum + (trade.hold_seconds ?? 0), 0) / heldTrades.length : 0
  // One basis for every window: derive from the closed_at-filtered trades.
  const maxDrawdown = calcDrawdownPct(filteredTrades)
  const summaryPnl = totalPnl
@@ -169,11 +192,11 @@ export default function AnalyticsPageClient() {
      tip: 'How many closed positions in this window. Open trades not counted.' },
    { k: isZh ? '平均持仓时间' : 'Avg hold time', v: filteredTrades.length ? fmtHold(Math.round(avgHold)) : '—', sub: isZh ? '按单笔计算' : 'Per trade',
      tip: 'Entry → exit duration averaged across every closed trade.' },
-    { k: isZh ? '平均单笔盈亏' : 'Avg trade P&L', v: fmtMoney(avgTrade), sub: isZh ? '每笔交易均值' : 'Mean per trade', up: avgTrade > 0,
+    { k: isZh ? '平均单笔盈亏' : 'Avg trade P&L', v: pnls.length ? fmtMoney(avgTrade) : '—', sub: isZh ? '每笔交易均值' : 'Mean per trade', up: avgTrade > 0,
      tip: 'Total P&L ÷ number of trades. Positive = the strategy has edge per trade.' },
-    { k: isZh ? '最佳单笔' : 'Best trade', v: fmtMoney(bestTrade), sub: isZh ? '单笔最大盈利' : 'Largest single win', up: true,
+    { k: isZh ? '最佳单笔' : 'Best trade', v: pnls.length ? fmtMoney(bestTrade) : '—', sub: isZh ? '单笔最大盈利' : 'Largest single win', up: true,
      tip: 'Biggest realized gain on one trade in this window.' },
-    { k: isZh ? '最差单笔' : 'Worst trade', v: fmtMoney(worstTrade), sub: isZh ? '单笔最大亏损' : 'Largest single loss', down: true,
+    { k: isZh ? '最差单笔' : 'Worst trade', v: pnls.length ? fmtMoney(worstTrade) : '—', sub: isZh ? '单笔最大亏损' : 'Largest single loss', down: true,
      tip: 'Biggest realized loss on one trade. Should be bounded by your stop-loss setting.' },
  ]

@@ -183,8 +206,7 @@ export default function AnalyticsPageClient() {
        <div>
          <h1 className="page-title">{isZh ? '分析面板' : 'Analytics'}</h1>
          <PageHint>
-            Did the bot actually make money? Win rate, drawdown, average trade,
-            and AI signal accuracy across the time window you pick on the right.
+            P&amp;L · win rate · drawdown · signal accuracy — pick a time window on the right.
          </PageHint>
        </div>
        <div style={{ display: 'flex', flexDirection: 'column', gap: 8, alignItems: 'flex-end' }}>
@@ -207,6 +229,55 @@ export default function AnalyticsPageClient() {
        </div>
      </div>

+      {/* Signal accuracy — always public, shown first so non-connected visitors
+          can immediately see proof of signal quality without needing to log in. */}
+      {accuracy && (
+        <div className="card" style={{ padding: 20, marginBottom: 20 }}>
+          <div style={{ display: 'flex', alignItems: 'baseline', gap: 12, marginBottom: 14, flexWrap: 'wrap' }}>
+            <div className="tiny">AI Signal Accuracy</div>
+            <span style={{ fontSize: 12, color: 'var(--ink-4)' }}>{accuracy.total_directional_signals} directional signals measured</span>
+            <span style={{ fontSize: 11, color: 'var(--up)', fontWeight: 600, marginLeft: 'auto' }}>Public · no login needed</span>
+          </div>
+          <div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(140px, 1fr))', gap: 8 }}>
+            {/* Overall */}
+            <div style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '12px 14px' }}>
+              <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>Overall</div>
+              {(['m5','m15','m1h'] as const).map(w => {
+                const d = accuracy.overall[w]
+                const pct = d.accuracy_pct
+                const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
+                return (
+                  <div key={w} className="row between" style={{ marginBottom: 3 }}>
+                    <span style={{ fontSize: 11, color: 'var(--ink-3)' }}>{w.replace('m1','1').replace('m','')}</span>
+                    <span style={{ fontSize: 13, fontWeight: 700, color, fontVariantNumeric: 'tabular-nums' }}>{pct != null ? `${pct.toFixed(0)}%` : '—'}</span>
+                  </div>
+                )
+              })}
+            </div>
+            {Object.entries(accuracy.by_signal).map(([sig, data]) => {
+              const label = sig === 'buy' ? '🟢 Buy' : sig === 'short' ? '🔴 Short' : '🟡 Sell'
+              return (
+                <div key={sig} style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '12px 14px' }}>
+                  <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>{label} <span style={{ fontWeight: 400 }}>({data.count})</span></div>
+                  {(['m5','m15','m1h'] as const).map(w => {
+                    const d = data[w]
+                    if (d.checked < 2) return <div key={w} className="row between" style={{ marginBottom: 3 }}><span style={{ fontSize: 11, color: 'var(--ink-3)' }}>{w.replace('m1','1').replace('m','')}</span><span style={{ fontSize: 12, color: 'var(--ink-3)' }}>—</span></div>
+                    const pct = d.accuracy_pct
+                    const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
+                    return (
+                      <div key={w} className="row between" style={{ marginBottom: 3 }}>
+                        <span style={{ fontSize: 11, color: 'var(--ink-3)' }}>{w.replace('m1','1').replace('m','')}</span>
+                        <span style={{ fontSize: 13, fontWeight: 700, color, fontVariantNumeric: 'tabular-nums' }}>{pct.toFixed(0)}%</span>
+                      </div>
+                    )
+                  })}
+                </div>
+              )
+            })}
+          </div>
+        </div>
+      )}
+
      {isPaperView && filteredTrades.length > 0 && (
        <div className="card" style={{
          padding: '10px 16px', marginBottom: 16, fontSize: 12, fontWeight: 600,
@@ -265,60 +336,16 @@ export default function AnalyticsPageClient() {
        ))}
      </div>

-      {accuracy && (
-        <div className="card" style={{ padding: 24, marginBottom: 20 }}>
-          <div className="tiny" style={{ marginBottom: 16 }}>{isZh ? `AI 信号准确率 · ${accuracy.total_directional_signals} 条方向性信号` : `AI Signal Accuracy · ${accuracy.total_directional_signals} directional signals`}</div>
-          <div style={{ display: 'grid', gridTemplateColumns: 'repeat(auto-fill, minmax(200px, 1fr))', gap: 12 }}>
-            <div style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '14px 16px' }}>
-              <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>{isZh ? '整体' : 'Overall'}</div>
-              {(['m5','m15','m1h'] as const).map(w => {
-                const d = accuracy.overall[w]
-                const pct = d.accuracy_pct
-                const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
-                return (
-                  <div key={w} className="row between" style={{ marginBottom: 4 }}>
-                    <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w.replace('m','').replace('1h','1h')}</span>
-                    <span style={{ fontSize: 13, fontWeight: 600, color, fontVariantNumeric: 'tabular-nums' }}>{fmtAccuracyPct(pct)}</span>
-                  </div>
-                )
-              })}
-              <div style={{ fontSize: 11, color: 'var(--ink-3)', marginTop: 6 }}>{isZh ? `${accuracy.overall.m5.checked} 条已测` : `${accuracy.overall.m5.checked} measured`}</div>
-            </div>
-            {Object.entries(accuracy.by_signal).map(([sig, data]) => {
-              const label = sig === 'buy' ? (isZh ? '🟢 做多' : '🟢 Buy') : sig === 'short' ? (isZh ? '🔴 做空' : '🔴 Short') : (isZh ? '🟡 卖出' : '🟡 Sell')
-              return (
-                <div key={sig} style={{ background: 'var(--surface-2)', borderRadius: 10, padding: '14px 16px' }}>
-                  <div style={{ fontSize: 11, fontWeight: 600, color: 'var(--ink-3)', marginBottom: 8, textTransform: 'uppercase', letterSpacing: '0.06em' }}>{label} <span style={{ fontWeight: 400 }}>({data.count})</span></div>
-                  {(['m5','m15','m1h'] as const).map(w => {
-                    const d = data[w]
-                    if (d.checked < 2) return (
-                      <div key={w} className="row between" style={{ marginBottom: 4 }}>
-                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w}</span>
-                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>—</span>
-                      </div>
-                    )
-                    const pct = d.accuracy_pct
-                    const color = pct >= 55 ? 'var(--up)' : pct >= 45 ? 'var(--ink-2)' : 'var(--down)'
-                    return (
-                      <div key={w} className="row between" style={{ marginBottom: 4 }}>
-                        <span style={{ fontSize: 12, color: 'var(--ink-3)' }}>{w}</span>
-                        <span style={{ fontSize: 13, fontWeight: 600, color, fontVariantNumeric: 'tabular-nums' }}>{fmtAccuracyPct(pct)}</span>
-                      </div>
-                    )
-                  })}
-                  <div style={{ fontSize: 11, color: 'var(--ink-3)', marginTop: 6 }}>{isZh ? `${data.m5.checked} 条已测` : `${data.m5.checked} measured`}</div>
-                </div>
-              )
-            })}
-          </div>
-        </div>
-      )}
+      {/* Signal accuracy is now shown at the top of the page (public, no login needed).
+          Removed duplicate block here to avoid showing the same data twice. */}

      {!filteredTrades.length && (
        <div className="card" style={{ padding: 60, textAlign: 'center', color: 'var(--ink-3)' }}>
          <p style={{ fontSize: 14 }}>
            {!isConnected || !address
              ? (isZh ? '连接钱包以加载你的分析数据。' : 'Connect your wallet to load your analytics.')
+              : privateLocked
+              ? (isZh ? '签名解锁后可查看你的真实业绩和交易历史。' : 'Sign once above to unlock your personal P&L and trade history.')
              : trades.length
              ? (isZh ? `${period} 时间窗内还没有已平仓交易。` : `No trades closed in the ${period} window yet.`)
              : (isZh ? '还没有交易数据。机器人开始执行后，这里会自动出现统计。' : 'No trade data yet. The bot will populate analytics once it starts executing.')}