Add trade setup outcome tracking and performance stats
Closes the feedback loop on R:R scanner signals: - Nightly outcome_evaluator job replays unresolved setups against daily OHLCV bars: target_hit / stop_hit / ambiguous (same-bar, counted as loss) / expired after OUTCOME_EVALUATION_MAX_BARS (default 30) - Migration 004: evaluated_at + outcome_date on trade_setups - GET /trades/performance: hit rate, expectancy (avg R), total R with breakdowns by direction, recommended action, and confidence bucket - New Performance page (stat cards, breakdown tables, Evaluate Now, methodology disclosure) wired into sidebar and mobile nav - 17 new unit tests for evaluation logic and stats aggregation Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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import { useMutation, useQueryClient } from '@tanstack/react-query';
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import { usePerformance } from '../hooks/usePerformance';
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import { triggerJob } from '../api/admin';
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import { Button } from '../components/ui/Button';
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import { Callout } from '../components/ui/Callout';
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import { Disclosure } from '../components/ui/Disclosure';
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import { PageHeader } from '../components/ui/PageHeader';
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import { Section } from '../components/ui/Section';
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import { SkeletonCard } from '../components/ui/Skeleton';
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import { useToast } from '../components/ui/Toast';
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import { RECOMMENDATION_ACTION_LABELS } from '../lib/recommendation';
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import type { OutcomeBucketStats } from '../lib/types';
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function fmtR(value: number | null): string {
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if (value === null) return '—';
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return `${value > 0 ? '+' : ''}${value.toFixed(2)}R`;
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}
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function fmtPct(value: number | null): string {
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return value === null ? '—' : `${value.toFixed(1)}%`;
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}
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function rColor(value: number | null): string {
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if (value === null) return 'text-gray-400';
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if (value > 0) return 'text-emerald-400';
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if (value < 0) return 'text-red-400';
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return 'text-gray-300';
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}
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function StatCard({ label, value, valueClass = 'text-gray-100', sub }: {
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label: string;
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value: string;
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valueClass?: string;
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sub?: string;
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}) {
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return (
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<div className="glass p-5">
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<p className="text-xs uppercase tracking-widest text-gray-500">{label}</p>
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<p className={`mt-2 text-2xl font-semibold ${valueClass}`}>{value}</p>
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{sub && <p className="mt-1 text-xs text-gray-500">{sub}</p>}
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</div>
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);
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}
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function actionLabel(key: string): string {
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return RECOMMENDATION_ACTION_LABELS[key as keyof typeof RECOMMENDATION_ACTION_LABELS] ?? key;
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}
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function BreakdownTable({ rows, labelHeader, mapLabel }: {
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rows: Record<string, OutcomeBucketStats>;
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labelHeader: string;
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mapLabel?: (key: string) => string;
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}) {
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const entries = Object.entries(rows);
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if (entries.length === 0) {
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return <Callout variant="empty">No evaluated setups in this breakdown yet.</Callout>;
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}
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return (
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<div className="glass overflow-x-auto">
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<table className="w-full text-sm">
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<thead>
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<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
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<th className="px-4 py-3">{labelHeader}</th>
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<th className="px-4 py-3 text-right">Setups</th>
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<th className="px-4 py-3 text-right">Wins</th>
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<th className="px-4 py-3 text-right">Losses</th>
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<th className="px-4 py-3 text-right">Expired</th>
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<th className="px-4 py-3 text-right">Hit Rate</th>
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<th className="px-4 py-3 text-right">Avg R</th>
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<th className="px-4 py-3 text-right">Total R</th>
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</tr>
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</thead>
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<tbody>
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{entries.map(([key, stats]) => (
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<tr key={key} className="border-b border-white/[0.04] transition-colors duration-150 hover:bg-white/[0.03]">
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<td className="px-4 py-3 font-medium text-gray-200">{mapLabel ? mapLabel(key) : key}</td>
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<td className="px-4 py-3 text-right text-gray-300">{stats.total}</td>
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<td className="px-4 py-3 text-right text-emerald-400">{stats.wins}</td>
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<td className="px-4 py-3 text-right text-red-400">{stats.losses}</td>
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<td className="px-4 py-3 text-right text-gray-400">{stats.expired}</td>
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<td className="px-4 py-3 text-right text-gray-200">{fmtPct(stats.hit_rate)}</td>
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<td className={`px-4 py-3 text-right font-mono ${rColor(stats.avg_r)}`}>{fmtR(stats.avg_r)}</td>
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<td className={`px-4 py-3 text-right font-mono ${rColor(stats.total_r)}`}>{fmtR(stats.total_r)}</td>
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</tr>
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))}
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</tbody>
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</table>
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</div>
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);
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}
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export default function PerformancePage() {
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const { data, isLoading, isError, error } = usePerformance();
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const queryClient = useQueryClient();
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const toast = useToast();
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const evaluateMutation = useMutation({
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mutationFn: () => triggerJob('outcome_evaluator'),
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onSuccess: () => {
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toast.addToast('success', 'Outcome evaluation triggered. Stats will refresh shortly.');
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setTimeout(() => queryClient.invalidateQueries({ queryKey: ['performance'] }), 3000);
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},
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onError: () => {
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toast.addToast('error', 'Failed to trigger outcome evaluation');
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},
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});
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return (
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<div className="space-y-6 animate-slide-up">
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<PageHeader
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title="Performance"
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subtitle="Do the signals actually win? Outcomes of past trade setups"
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actions={
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<Button onClick={() => evaluateMutation.mutate()} loading={evaluateMutation.isPending}>
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{evaluateMutation.isPending ? 'Evaluating…' : 'Evaluate Now'}
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</Button>
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}
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/>
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<Disclosure summary="How outcomes are measured">
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<p className="text-xs text-gray-400">
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Each setup is replayed against the daily bars after its detection: a{' '}
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<span className="text-emerald-400">win</span> means the target was reached before the
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stop, a <span className="text-red-400">loss</span> means the stop was hit first (bars
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where both levels fall inside the same day count conservatively as losses). Setups with
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neither level hit within 30 trading days <span className="text-gray-300">expire</span> at
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0R. Avg R is the expectancy per trade: wins earn their R:R ratio, losses cost −1R — a
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positive value means the signals have been profitable on a risk-adjusted basis. The
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evaluator runs nightly after OHLCV collection.
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</p>
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</Disclosure>
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{isLoading && (
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<div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-4">
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<SkeletonCard /><SkeletonCard /><SkeletonCard /><SkeletonCard />
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</div>
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)}
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{isError && (
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<Callout variant="error">
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{error instanceof Error ? error.message : 'Failed to load performance stats'}
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</Callout>
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)}
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{data && data.overall.total === 0 && (
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<Callout variant="empty">
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No evaluated setups yet. Outcomes appear once setups are old enough for their stop or
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target to be hit — the evaluator runs nightly, or click Evaluate Now.
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{data.pending > 0 && ` ${data.pending} setup${data.pending === 1 ? '' : 's'} pending evaluation.`}
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</Callout>
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)}
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{data && data.overall.total > 0 && (
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<>
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<div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-4">
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<StatCard
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label="Hit Rate"
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value={fmtPct(data.overall.hit_rate)}
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sub={`${data.overall.wins} wins / ${data.overall.losses} losses`}
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/>
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<StatCard
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label="Expectancy"
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value={fmtR(data.overall.avg_r)}
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valueClass={rColor(data.overall.avg_r)}
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sub="average R per trade"
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/>
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<StatCard
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label="Total R"
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value={fmtR(data.overall.total_r)}
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valueClass={rColor(data.overall.total_r)}
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sub="cumulative risk-adjusted result"
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/>
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<StatCard
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label="Evaluated"
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value={String(data.overall.total)}
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sub={`${data.pending} pending · ${data.overall.expired} expired`}
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/>
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</div>
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<Section title="By Direction">
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<BreakdownTable rows={data.by_direction} labelHeader="Direction" />
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</Section>
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<Section title="By Recommended Action">
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<BreakdownTable rows={data.by_action} labelHeader="Action" mapLabel={actionLabel} />
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</Section>
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<Section title="By Confidence" hint="at detection time">
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<BreakdownTable rows={data.by_confidence} labelHeader="Confidence" />
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</Section>
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</>
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)}
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</div>
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);
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}
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