Slim Track Record page to validation + how-to-trade

Strategy research now runs locally against DB snapshots (see README), so the
deployed Track Record page no longer needs the strategy-tuning output. Keep only
what answers "did my trades work / is the strategy working / what do I trade":

- Reshape BacktestPanel into an "Is the strategy working?" block: portfolio
  monitor (unchanged), a deliberate metric set (CAGR, Sharpe, Max DD, Total
  Return vs SPY, per-year returns), plus the folded-in live-vs-backtest verdict
  and the backtest recommendation.
- Fold the standalone portfolio-sim table's unique rows (per-year returns, avg
  hold, best/worst, avg P&L) into the monitor; drop the duplicate table.
- Slim TrackRecordPanel to My Trades -> Is it working? -> maintenance disclosure
  (Evaluate/Reset demoted).
- Cut the local-research tables: percentile sweep, gate ablation, time-exit
  sweep, strategy variants, signal-edge rank-IC, research candidates,
  by-action/by-confidence breakdowns, and the bucket comparison.

Frontend-only; the weekly server backtest still computes the cut tables (they
feed the local report). tsc -b && vite build pass.

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
2026-07-04 09:36:41 +02:00
co-authored by Claude Opus 4.8
parent ca42e1b28d
commit 02b28f5ea6
2 changed files with 126 additions and 786 deletions
+106 -538
View File
@@ -1,19 +1,22 @@
import { useMemo, useState } from 'react';
import { useMutation, useQueryClient } from '@tanstack/react-query';
import { useBacktestReport } from '../../hooks/useMarketRegime';
import { usePerformance } from '../../hooks/usePerformance';
import { triggerJob } from '../../api/admin';
import { Button } from '../ui/Button';
import { Callout } from '../ui/Callout';
import { Disclosure } from '../ui/Disclosure';
import { Section } from '../ui/Section';
import { useToast } from '../ui/Toast';
import type {
BacktestBucket,
BacktestCurvePoint,
BacktestPortfolioMonitorRun,
BacktestPortfolioPolicy,
BacktestStrategyVariant,
} from '../../lib/types';
import type { BacktestCurvePoint, BacktestPortfolioMonitorRun } from '../../lib/types';
// Need at least this many matured setups before a live-vs-backtest verdict means
// anything; below it the live sample is too noisy to compare.
const MIN_MATURED = 20;
// Live expectancy this far (in R) below the backtest counts as drift, not noise.
const DRIFT_TOLERANCE_R = 0.2;
type TrackingStatus = 'building' | 'tracking' | 'drift' | 'no-backtest';
function fmtR(v: number | null | undefined): string {
if (v === null || v === undefined) return '—';
@@ -36,10 +39,6 @@ function fmtDrawdown(v: number | null | undefined): string {
function fmtDays(v: number | null | undefined): string {
return v === null || v === undefined ? '—' : `${v.toFixed(1)}d`;
}
function fmtRPerDay(v: number | null | undefined): string {
if (v === null || v === undefined) return '—';
return `${v > 0 ? '+' : ''}${v.toFixed(3)}R`;
}
function rColor(v: number | null): string {
if (v === null) return 'text-gray-400';
if (v > 0) return 'text-emerald-400';
@@ -47,49 +46,6 @@ function rColor(v: number | null): string {
return 'text-gray-300';
}
const SIGNAL_LABELS: Record<string, string> = {
mom_12_1: '121 month momentum',
mom_12_1_resid: '121 residual momentum',
mom_6_1: '61 month momentum',
mom_3_1: '31 month momentum',
reversal_1m: '1-month reversal',
trend_200: 'Price vs 200-day SMA',
high_52w: 'Proximity to 52-week high',
vol_6m: '6-month realized volatility',
};
const ABLATION_LABELS: Record<string, string> = {
all_floors: 'All floors (current gate)',
no_confidence_floor: 'Without confidence floor',
no_rr_floor: 'Without R:R floor',
no_neutral_exclusion: 'Without NEUTRAL exclusion',
momentum_only: 'Momentum only (no floors)',
};
const POLICY_LABELS: Record<string, string> = {
target: 'S/R target exit',
hold: 'Hold to horizon',
};
// Prefer the net-of-costs number when the report carries it; older cached
// reports (pre-cost model) fall back to gross.
function netOrGross(r: { avg_r: number | null; net_avg_r?: number | null }): number | null {
return r.net_avg_r ?? r.avg_r;
}
// An |IC| this large, with a consistent sign, is a real (if small) edge worth
// building on; below it, ranking on the signal sorts essentially nothing.
const IC_EDGE_THRESHOLD = 0.03;
function icColor(v: number): string {
if (Math.abs(v) < 0.02) return 'text-gray-400';
return v > 0 ? 'text-emerald-400' : 'text-red-400';
}
function fmtSpread(v: number | null): string {
if (v === null) return '—';
return `${v > 0 ? '+' : ''}${(v * 100).toFixed(2)}%`;
}
function timeAgo(iso: string): string {
const mins = Math.floor((Date.now() - new Date(iso).getTime()) / 60_000);
if (mins < 1) return 'just now';
@@ -111,23 +67,15 @@ function Stat({ label, value, valueClass = 'text-gray-100', sub }: {
);
}
function BucketRow({ label, b }: { label: string; b: BacktestBucket }) {
return (
<tr className="border-b border-white/[0.04]">
<td className="px-4 py-2.5 font-medium text-gray-200">{label}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{b.total}</td>
<td className="num px-4 py-2.5 text-right text-emerald-400">{b.wins}</td>
<td className="num px-4 py-2.5 text-right text-red-400">{b.losses}</td>
<td className="num px-4 py-2.5 text-right text-gray-400">{b.expired}</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{fmtPct(b.hit_rate)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(b.avg_r)}`}>{fmtR(b.avg_r)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(b.net_avg_r ?? null)}`}>{fmtR(b.net_avg_r ?? null)}</td>
<td className="num px-4 py-2.5 text-right text-emerald-400">{fmtR(b.best_r)}</td>
<td className="num px-4 py-2.5 text-right text-red-400">{fmtR(b.worst_r)}</td>
<td className="num px-4 py-2.5 text-right text-gray-400">{fmtDays(b.avg_hold_days)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(b.net_r_per_day ?? null)}`}>{fmtRPerDay(b.net_r_per_day)}</td>
</tr>
);
function VerdictChip({ status }: { status: TrackingStatus }) {
const styles: Record<TrackingStatus, { cls: string; label: string }> = {
tracking: { cls: 'border-emerald-500/30 bg-emerald-500/15 text-emerald-300', label: '✓ tracking' },
drift: { cls: 'border-amber-500/30 bg-amber-500/15 text-amber-300', label: '⚠ drift' },
building: { cls: 'border-white/10 bg-white/[0.05] text-gray-400', label: 'building' },
'no-backtest': { cls: 'border-white/10 bg-white/[0.05] text-gray-400', label: 'no backtest' },
};
const s = styles[status];
return <span className={`shrink-0 rounded-full border px-2.5 py-1 text-xs font-medium ${s.cls}`}>{s.label}</span>;
}
function curvePath(
@@ -210,16 +158,12 @@ function EquityCurveChart({ run }: { run: BacktestPortfolioMonitorRun }) {
export function BacktestPanel() {
const { data: report, isLoading } = useBacktestReport();
const { data: perf } = usePerformance({ qualified_only: true });
const queryClient = useQueryClient();
const toast = useToast();
const [selectedStrategy, setSelectedStrategy] = useState('');
const [selectedLookback, setSelectedLookback] = useState('');
const bestTimeAvgR =
report?.time_exit_sweep && report.time_exit_sweep.length > 0
? Math.max(...report.time_exit_sweep.map((r) => netOrGross(r) ?? -Infinity))
: null;
const sim = report?.portfolio_sim ?? null;
const monitor = report?.portfolio_monitor ?? null;
const activeStrategy =
selectedStrategy || monitor?.production_strategy || monitor?.strategies[0]?.strategy || '';
@@ -234,6 +178,22 @@ export function BacktestPanel() {
[monitor, activeStrategy, activeLookback],
);
// Live matured qualified cohort vs the backtest's qualified expectancy — the
// out-of-sample check that the running system faithfully implements the backtest.
const liveAvgR = perf?.overall.avg_r ?? null;
const liveN = perf?.overall.total ?? 0;
const btAvgR = report?.overall_qualified.avg_r ?? null;
let status: TrackingStatus = 'building';
if (liveAvgR != null && liveN >= MIN_MATURED) {
status = btAvgR == null ? 'no-backtest' : liveAvgR >= btAvgR - DRIFT_TOLERANCE_R ? 'tracking' : 'drift';
}
const verdictNote: Record<TrackingStatus, string> = {
building: `Fewer than ~${MIN_MATURED} matured setups so far — until then the backtest is the edge estimate. This turns into a live check as setups age past their ~30-day window.`,
'no-backtest': 'Run the backtest to get a baseline to compare the live record against.',
tracking: 'Live setups are resolving in line with the backtest — the running system is faithfully implementing it.',
drift: 'Live expectancy is running materially below the backtest — small-sample noise, a regime shift, or a live/backtest gap. Worth a look.',
};
const run = useMutation({
mutationFn: () => triggerJob('backtest'),
onSuccess: (res) => {
@@ -248,17 +208,17 @@ export function BacktestPanel() {
});
return (
<Section title="Backtest" hint="historical replay of the current config">
<Section title="Is the strategy working?" hint="portfolio simulation vs S&P 500, validated against the live record">
<div className="space-y-4">
<div className="flex flex-wrap items-start justify-between gap-3">
<Disclosure summary="How the backtest works">
<p className="text-xs text-gray-400">
At each weekly point in history, the setup is rebuilt using only data up to that day
(no lookahead), then the actual following ~30 trading days decide its outcome. This
shows how the <em>current</em> settings would have performed. Sentiment and
fundamentals are held neutral (no point-in-time history), so this calibrates the
price / support-resistance / probability machinery. ~6 months of data is roughly one
market regime read it as directional, not a guarantee.
<Disclosure summary="How this is measured">
<p className="max-w-2xl text-xs text-gray-400">
The backtest replays the current config weekly through history at each point the setup is
rebuilt using only data up to that day (no lookahead) and the following ~30 trading days decide
its outcome then simulates one capital-constrained book against the S&P 500. Sentiment and
fundamentals are held neutral (no point-in-time history). ~6 months is roughly one market regime,
so read it as directional. The <em>tracking</em> check compares the backtest's qualified
expectancy with what live qualified setups have actually realized once matured.
</p>
</Disclosure>
<Button onClick={() => run.mutate()} loading={run.isPending} className="shrink-0">
@@ -270,8 +230,8 @@ export function BacktestPanel() {
{!isLoading && !report && (
<Callout variant="empty">
No backtest yet. Click Run backtest (or trigger it in Admin Jobs) it replays every
ticker over history and takes a minute or two.
No backtest yet. Click “Run backtest” (or trigger it in Admin → Jobs) — it replays every ticker
over history and takes a minute or two.
</Callout>
)}
@@ -281,17 +241,17 @@ export function BacktestPanel() {
Ran {timeAgo(report.generated_at)} · {report.tickers} tickers · {report.candidates} setups
({report.qualified} qualified) · weekly cadence, {report.params.horizon_days}-day horizon
{report.params.cost_per_side_pct != null && (
<> · net assumes {report.params.cost_per_side_pct}%/side costs</>
<> · net of {report.params.cost_per_side_pct}%/side costs</>
)}
</p>
{monitor && monitorRun && (
{monitor && monitorRun ? (
<div className="space-y-3">
<div className="flex flex-wrap items-end justify-between gap-3">
<div>
<p className="section-index">Portfolio monitor</p>
<p className="mt-1 text-xs text-gray-500">
Cached portfolio simulation for supported strategies, compared with S&P 500.
Simulated book for the selected strategy and lookback, compared with the S&P 500.
</p>
</div>
<div className="flex flex-wrap gap-2">
@@ -328,13 +288,63 @@ export function BacktestPanel() {
<Stat label="CAGR" value={fmtSignedPct(monitorRun.cagr_pct)} valueClass={rColor(monitorRun.cagr_pct)} />
<Stat label="Sharpe" value={monitorRun.sharpe == null ? '' : monitorRun.sharpe.toFixed(2)} />
<Stat label="Max Drawdown" value={fmtDrawdown(monitorRun.max_drawdown_pct)} valueClass="text-amber-400" />
<Stat label="Total Return" value={fmtSignedPct(monitorRun.total_return_pct)} valueClass={rColor(monitorRun.total_return_pct)} />
<Stat
label="Total Return"
value={fmtSignedPct(monitorRun.total_return_pct)}
valueClass={rColor(monitorRun.total_return_pct)}
sub={`vs S&P 500 ${fmtSignedPct(monitorRun.spy_return_pct)}`}
/>
<Stat label="Trades" value={String(monitorRun.trades)} sub={`${fmtPct(monitorRun.win_rate)} win rate`} />
</div>
<EquityCurveChart run={monitorRun} />
<p className="text-[11px] text-gray-500">
Avg hold {fmtDays(monitorRun.avg_hold_days)} · Best {fmtR(monitorRun.best_trade_r)} / Worst{' '}
{fmtR(monitorRun.worst_trade_r)} · Avg P&amp;L per trade {fmtMoney(monitorRun.avg_trade_pnl)}
</p>
{monitorRun.yearly_returns && monitorRun.yearly_returns.length > 0 && (
<div className="glass overflow-x-auto p-4">
<p className="section-index mb-2">Per-year returns</p>
<div className="flex flex-wrap gap-2">
{monitorRun.yearly_returns.map((y) => (
<div key={y.year} className="rounded border border-white/10 px-3 py-1.5">
<span className="num text-xs text-gray-500">{y.year}</span>{' '}
<span className={`num text-sm font-semibold ${rColor(y.return_pct)}`}>
{fmtSignedPct(y.return_pct)}
</span>
</div>
))}
</div>
</div>
)}
{/* Live-vs-backtest validation: does the running system realize what the backtest promised? */}
<div className="glass-sm space-y-2 p-4">
<div className="flex flex-wrap items-center justify-between gap-x-6 gap-y-2">
<div className="flex flex-wrap items-baseline gap-x-5 gap-y-1">
<span className="text-sm text-gray-400">
Live <span className={`num font-semibold ${rColor(liveAvgR)}`}>{fmtR(liveAvgR)}</span>
</span>
<span className="text-sm text-gray-400">
Backtest <span className={`num font-semibold ${rColor(btAvgR)}`}>{fmtR(btAvgR)}</span>
</span>
<span className="text-xs text-gray-500">
{liveN} matured{perf ? ` · ${perf.maturing} maturing` : ''} · qualified expectancy
</span>
</div>
<VerdictChip status={status} />
</div>
<p className="text-[11px] leading-relaxed text-gray-500">{verdictNote[status]}</p>
</div>
{monitor.note && <p className="text-[11px] text-gray-600">{monitor.note}</p>}
</div>
) : (
<Callout variant="empty">
This report predates the portfolio monitor — re-run the backtest to populate it.
</Callout>
)}
{report.recommendation && report.recommendation.items.length > 0 && (
@@ -361,453 +371,11 @@ export function BacktestPanel() {
</div>
)}
{report.research_recommendation && report.research_recommendation.items.length > 0 && (
<div className="glass border border-emerald-400/15 p-4">
<p className="section-index">Research candidates</p>
<ul className="mt-2 space-y-1">
{report.research_recommendation.items.map((item) => (
<li
key={item.topic + item.text}
className={`text-xs ${item.candidate ? 'text-emerald-400' : 'text-gray-400'}`}
>
{item.text}
</li>
))}
</ul>
{report.research_recommendation.note && (
<p className="mt-2 text-[11px] text-gray-600">{report.research_recommendation.note}</p>
)}
</div>
)}
<div className="grid gap-3 sm:grid-cols-2 lg:grid-cols-4">
<Stat
label="Qualified Hit Rate"
value={fmtPct(report.overall_qualified.hit_rate)}
sub={`${report.overall_qualified.wins}W / ${report.overall_qualified.losses}L`}
/>
<Stat
label="Qualified Expectancy"
value={fmtR(report.overall_qualified.avg_r)}
valueClass={rColor(report.overall_qualified.avg_r)}
sub="avg R per qualified setup"
/>
<Stat
label="All Setups Expectancy"
value={fmtR(report.overall_all.avg_r)}
valueClass={rColor(report.overall_all.avg_r)}
sub={`${report.overall_all.total} setups · baseline`}
/>
<Stat
label="Qualified Total R"
value={fmtR(report.overall_qualified.total_r)}
valueClass={rColor(report.overall_qualified.total_r)}
sub="cumulative, risk-adjusted"
/>
{report.overall_qualified.median_net_r != null && (
<Stat
label="Median Net R"
value={fmtR(report.overall_qualified.median_net_r)}
valueClass={rColor(report.overall_qualified.median_net_r)}
sub="qualified · the typical trade"
/>
)}
{report.overall_qualified.profit_factor != null && (
<Stat
label="Profit Factor"
value={report.overall_qualified.profit_factor.toFixed(2)}
valueClass={report.overall_qualified.profit_factor > 1 ? 'text-emerald-400' : 'text-red-400'}
sub="qualified · net wins / net losses"
/>
)}
{report.overall_qualified.net_avg_r_ex_top5 != null && (
<Stat
label="Ex-Top-5% Net R"
value={fmtR(report.overall_qualified.net_avg_r_ex_top5)}
valueClass={rColor(report.overall_qualified.net_avg_r_ex_top5)}
sub="expectancy without the biggest winners"
/>
)}
</div>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Set</th>
<th className="px-4 py-2.5 text-right">Setups</th>
<th className="px-4 py-2.5 text-right">Wins</th>
<th className="px-4 py-2.5 text-right">Losses</th>
<th className="px-4 py-2.5 text-right">Expired</th>
<th className="px-4 py-2.5 text-right">Hit Rate</th>
<th className="px-4 py-2.5 text-right">Avg R</th>
<th className="px-4 py-2.5 text-right">Net Avg R</th>
<th className="px-4 py-2.5 text-right">Best R</th>
<th className="px-4 py-2.5 text-right">Worst R</th>
<th className="px-4 py-2.5 text-right">Avg Hold</th>
<th className="px-4 py-2.5 text-right">Net R/d</th>
</tr>
</thead>
<tbody>
<BucketRow label="Qualified" b={report.overall_qualified} />
<BucketRow label="All" b={report.overall_all} />
{report.by_direction.long && <BucketRow label="Long (qual.)" b={report.by_direction.long} />}
{report.by_direction.short && <BucketRow label="Short (qual.)" b={report.by_direction.short} />}
</tbody>
</table>
</div>
{/* Guard on the new field so a stale cached report (pre-momentum,
with min_expected_value rows) hides the sweep instead of crashing
the whole page. Re-running the backtest repopulates it. */}
{report.sweep && report.sweep.length > 0 && report.sweep[0].min_momentum_percentile != null && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Residual-momentum percentile sweep
</p>
<p className="mb-2 text-[11px] text-gray-500">
How many setups qualify and how they perform at each production-rank cutoff (floors
held fixed). 80 = only the top 20% of the universe by residual 12-1 momentum each week; 0 =
floors only. Lower = more trades, watch that expectancy holds. Your current setting is
highlighted; set it in Admin Settings Activation.
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Min residual %ile</th>
<th className="px-4 py-2.5 text-right">Qualified</th>
<th className="px-4 py-2.5 text-right">Wins</th>
<th className="px-4 py-2.5 text-right">Losses</th>
<th className="px-4 py-2.5 text-right">Hit Rate</th>
<th className="px-4 py-2.5 text-right">Avg R</th>
<th className="px-4 py-2.5 text-right">Net Avg R</th>
<th className="px-4 py-2.5 text-right">Total R</th>
</tr>
</thead>
<tbody>
{report.sweep.map((row) => {
const current = Math.abs(row.min_momentum_percentile - report.min_momentum_percentile) < 0.001;
return (
<tr key={row.min_momentum_percentile} className={`border-b border-white/[0.04] ${current ? 'bg-blue-400/10' : ''}`}>
<td className="num px-4 py-2.5 text-gray-200">
{current && <span className="mr-1 text-blue-300"></span>}
{row.min_momentum_percentile.toFixed(0)}
</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{row.total}</td>
<td className="num px-4 py-2.5 text-right text-emerald-400">{row.wins}</td>
<td className="num px-4 py-2.5 text-right text-red-400">{row.losses}</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{fmtPct(row.hit_rate)}</td>
<td className={`num px-4 py-2.5 text-right font-semibold ${rColor(row.avg_r)}`}>{fmtR(row.avg_r)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.net_avg_r ?? null)}`}>{fmtR(row.net_avg_r ?? null)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.total_r)}`}>{fmtR(row.total_r)}</td>
</tr>
);
})}
</tbody>
</table>
</div>
</div>
)}
{report.gate_ablation && report.gate_ablation.length > 0 && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Gate ablation which floors earn their keep
</p>
<p className="mb-2 text-[11px] text-gray-500">
{report.gate_ablation_note ??
'Each row re-qualifies the same candidates at the current momentum cutoff with one floor removed (long-only throughout).'}
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Variant</th>
<th className="px-4 py-2.5 text-right">Setups</th>
<th className="px-4 py-2.5 text-right">Hit Rate</th>
<th className="px-4 py-2.5 text-right">Avg R</th>
<th className="px-4 py-2.5 text-right">Net Avg R</th>
<th className="px-4 py-2.5 text-right">Total R</th>
<th className="px-4 py-2.5 text-right">Hold Net Avg R</th>
<th className="px-4 py-2.5 text-right">Hold Total R</th>
</tr>
</thead>
<tbody>
{report.gate_ablation.map((row) => (
<tr
key={row.variant}
className={`border-b border-white/[0.04] ${row.variant === 'all_floors' ? 'bg-blue-400/10' : ''}`}
>
<td className="px-4 py-2.5 font-medium text-gray-200">
{ABLATION_LABELS[row.variant] ?? row.variant}
</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{row.total}</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{fmtPct(row.hit_rate)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.avg_r)}`}>{fmtR(row.avg_r)}</td>
<td className={`num px-4 py-2.5 text-right font-semibold ${rColor(row.net_avg_r ?? null)}`}>
{fmtR(row.net_avg_r ?? null)}
</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.total_r)}`}>{fmtR(row.total_r)}</td>
<td className={`num px-4 py-2.5 text-right font-semibold ${rColor(row.hold_net_avg_r ?? null)}`}>
{fmtR(row.hold_net_avg_r ?? null)}
</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.hold_total_r ?? null)}`}>
{fmtR(row.hold_total_r ?? null)}
</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
{report.time_exit_sweep && report.time_exit_sweep.length > 0 && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Time-based exit
</p>
<p className="mb-2 text-[11px] text-gray-500">
Buy at detection, keep the initial ATR stop, and exit at the{' '}
<span className="text-gray-300">day-N close</span> no target, no trailing. This is the
classic cross-sectional momentum implementation (hold ~a month, re-rank).{' '}
<span className="text-gray-300">Win Rate = share closed in profit.</span> = best net avg R.
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Hold</th>
<th className="px-4 py-2.5 text-right">Setups</th>
<th className="px-4 py-2.5 text-right">Profitable</th>
<th className="px-4 py-2.5 text-right">Win Rate</th>
<th className="px-4 py-2.5 text-right">Avg R</th>
<th className="px-4 py-2.5 text-right">Net Avg R</th>
<th className="px-4 py-2.5 text-right">Total R</th>
<th className="px-4 py-2.5 text-right">Best R</th>
<th className="px-4 py-2.5 text-right">Worst R</th>
<th className="px-4 py-2.5 text-right">Avg Hold</th>
<th className="px-4 py-2.5 text-right">Net R/d</th>
<th className="px-4 py-2.5 text-right">Median Net R</th>
<th className="px-4 py-2.5 text-right">Ex-Top-5%</th>
</tr>
</thead>
<tbody>
{report.time_exit_sweep.map((row) => {
const best = netOrGross(row) != null && netOrGross(row) === bestTimeAvgR;
return (
<tr key={row.hold_days} className={`border-b border-white/[0.04] ${best ? 'bg-emerald-400/[0.06]' : ''}`}>
<td className="num px-4 py-2.5 text-gray-200">
{best && <span className="mr-1 text-emerald-300"></span>}
{row.hold_days}d
</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{row.total}</td>
<td className="num px-4 py-2.5 text-right text-emerald-400">{row.wins}</td>
<td className="num px-4 py-2.5 text-right text-gray-200">{fmtPct(row.win_rate)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.avg_r)}`}>{fmtR(row.avg_r)}</td>
<td className={`num px-4 py-2.5 text-right font-semibold ${rColor(row.net_avg_r ?? null)}`}>{fmtR(row.net_avg_r ?? null)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.total_r)}`}>{fmtR(row.total_r)}</td>
<td className="num px-4 py-2.5 text-right text-emerald-400">{fmtR(row.best_r)}</td>
<td className="num px-4 py-2.5 text-right text-red-400">{fmtR(row.worst_r)}</td>
<td className="num px-4 py-2.5 text-right text-gray-400">{fmtDays(row.avg_hold_days)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.net_r_per_day ?? null)}`}>{fmtRPerDay(row.net_r_per_day)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.median_net_r ?? null)}`}>{fmtR(row.median_net_r)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.net_avg_r_ex_top5 ?? null)}`}>{fmtR(row.net_avg_r_ex_top5)}</td>
</tr>
);
})}
</tbody>
</table>
</div>
</div>
)}
{sim && sim.policies.length > 0 && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Portfolio simulation
</p>
<p className="mb-2 text-[11px] text-gray-500">
{sim.note ?? 'One capital-constrained book over the qualified setups.'}{' '}
<span className="text-gray-300">
Start {fmtMoney(sim.params.starting_capital)} · max {sim.params.max_positions} positions ·{' '}
{sim.params.risk_per_trade_pct}% risk/trade · {sim.params.notional_cap_pct}% notional cap ·{' '}
{sim.params.cost_per_side_pct}%/side costs · {sim.policies[0].start_date} {sim.policies[0].end_date}
</span>
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Metric</th>
{sim.policies.map((p) => (
<th key={p.policy ?? 'policy'} className="px-4 py-2.5 text-right">
{POLICY_LABELS[p.policy ?? ''] ?? p.policy ?? 'Policy'}
</th>
))}
</tr>
</thead>
<tbody>
{(
[
['Final equity', (p) => fmtMoney(p.final_equity), (p) => rColor(p.final_equity - p.starting_capital)],
['Total return', (p) => fmtSignedPct(p.total_return_pct), (p) => rColor(p.total_return_pct)],
['SPY return (same window)', (p) => fmtSignedPct(p.spy_return_pct), () => 'text-gray-300'],
['CAGR', (p) => fmtSignedPct(p.cagr_pct), (p) => rColor(p.cagr_pct)],
['Max drawdown', (p) => `${p.max_drawdown_pct.toFixed(1)}%`, () => 'text-amber-400'],
['Sharpe (daily, annualized)', (p) => (p.sharpe === null ? '—' : p.sharpe.toFixed(2)), () => 'text-gray-200'],
['Trades', (p) => String(p.trades), () => 'text-gray-300'],
['Win rate', (p) => fmtPct(p.win_rate), () => 'text-gray-200'],
['Avg P&L / trade', (p) => fmtMoney(p.avg_trade_pnl), (p) => rColor(p.avg_trade_pnl)],
['Best / worst trade', (p) => `${fmtR(p.best_trade_r)} / ${fmtR(p.worst_trade_r)}`, () => 'text-gray-300'],
['Avg holding time', (p) => fmtDays(p.avg_hold_days), () => 'text-gray-300'],
[
'Per-year returns',
(p) =>
p.yearly_returns && p.yearly_returns.length > 0
? p.yearly_returns
.map((y) => `${y.year} ${fmtSignedPct(y.return_pct)}`)
.join(' · ')
: '—',
() => 'text-gray-300',
],
['Entries skipped (book full)', (p) => String(p.skipped_book_full), () => 'text-gray-500'],
] as [string, (p: BacktestPortfolioPolicy) => string, (p: BacktestPortfolioPolicy) => string][]
).map(([label, fmt, color]) => (
<tr key={label} className="border-b border-white/[0.04]">
<td className="px-4 py-2.5 font-medium text-gray-200">{label}</td>
{sim.policies.map((p) => (
<td key={p.policy ?? label} className={`num px-4 py-2.5 text-right ${color(p)}`}>
{fmt(p)}
</td>
))}
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
{report.strategy_variants && report.strategy_variants.variants.length > 0 && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Strategy variants
</p>
<p className="mb-2 text-[11px] text-gray-500">
{report.strategy_variants.note ?? 'Research-only portfolio variants.'}
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Variant</th>
<th className="px-4 py-2.5 text-right">Rank</th>
<th className="px-4 py-2.5 text-right">Cutoff</th>
<th className="px-4 py-2.5 text-right">Max Pos</th>
<th className="px-4 py-2.5 text-right">Risk</th>
<th className="px-4 py-2.5 text-right">CAGR</th>
<th className="px-4 py-2.5 text-right">Max DD</th>
<th className="px-4 py-2.5 text-right">Sharpe</th>
<th className="px-4 py-2.5 text-right">Total Ret</th>
<th className="px-4 py-2.5 text-right">Trades</th>
<th className="px-4 py-2.5 text-right">Skipped</th>
</tr>
</thead>
<tbody>
{report.strategy_variants.variants.map((row: BacktestStrategyVariant) => (
<tr key={row.variant} className="border-b border-white/[0.04]">
<td className="px-4 py-2.5 font-medium text-gray-200">{row.label}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{row.ranking}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{row.cutoff.toFixed(0)}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{row.max_positions}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">
{`${row.risk_per_trade_pct.toFixed(1)}%`}
</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.cagr_pct)}`}>{fmtSignedPct(row.cagr_pct)}</td>
<td className="num px-4 py-2.5 text-right text-amber-400">{row.max_drawdown_pct.toFixed(1)}%</td>
<td className="num px-4 py-2.5 text-right text-gray-200">
{row.sharpe === null ? '—' : row.sharpe.toFixed(2)}
</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.total_return_pct)}`}>{fmtSignedPct(row.total_return_pct)}</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{row.trades}</td>
<td className="num px-4 py-2.5 text-right text-gray-500">{row.skipped_book_full}</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
)}
{report.signal_eval && report.signal_eval.length > 0 && (
<div>
<p className="mb-2 text-xs font-medium uppercase tracking-widest text-gray-500">
Signal edge (cross-sectional)
</p>
<p className="mb-2 text-[11px] text-gray-500">
Does ranking the universe by a signal predict the forward {report.params.horizon_days}-day
return? Mean IC is the rank correlation between signal and return, averaged over
non-overlapping windows. <span className="text-emerald-400">|IC| {IC_EDGE_THRESHOLD}</span> with a
consistent sign (high IC&gt;0 %) is a real, if small, edge; near 0 means it sorts nothing.
Momentum skips the last month; <em>reversal_1m is expected negative</em> if the universe
mean-reverts. Q5Q1 is the top-minus-bottom-quintile forward return. <span className="text-gray-600">Greyed
rows have too few independent windows to trust deepen history via the Data Backfill job.</span>
</p>
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-2.5">Signal</th>
<th className="px-4 py-2.5 text-right">Weeks</th>
<th className="px-4 py-2.5 text-right">Avg N</th>
<th className="px-4 py-2.5 text-right">Mean IC</th>
<th className="px-4 py-2.5 text-right">t-stat</th>
<th className="px-4 py-2.5 text-right">IC&gt;0 %</th>
<th className="px-4 py-2.5 text-right">Q5Q1 fwd</th>
</tr>
</thead>
<tbody>
{report.signal_eval.map((row) => {
// Only trust the edge highlight when the IC rests on enough
// independent windows; thin signals are dimmed, not starred.
const edge = row.reliable && Math.abs(row.mean_ic) >= IC_EDGE_THRESHOLD;
return (
<tr
key={row.signal}
className={`border-b border-white/[0.04] ${edge ? 'bg-emerald-400/[0.06]' : ''} ${row.reliable ? '' : 'opacity-40'}`}
title={row.reliable ? undefined : `Only ${row.weeks} independent window(s) — not enough to trust`}
>
<td className="px-4 py-2.5 font-medium text-gray-200">
{edge && <span className="mr-1 text-emerald-300"></span>}
{SIGNAL_LABELS[row.signal] ?? row.signal}
</td>
<td className="num px-4 py-2.5 text-right text-gray-400">{row.weeks}</td>
<td className="num px-4 py-2.5 text-right text-gray-400">{row.avg_cross_section ?? '—'}</td>
<td className={`num px-4 py-2.5 text-right font-semibold ${icColor(row.mean_ic)}`}>
{row.mean_ic.toFixed(3)}
</td>
<td className="num px-4 py-2.5 text-right text-gray-300">
{row.ic_t_stat === null ? '—' : row.ic_t_stat.toFixed(2)}
</td>
<td className="num px-4 py-2.5 text-right text-gray-300">{fmtPct(row.ic_positive_pct)}</td>
<td className={`num px-4 py-2.5 text-right ${rColor(row.mean_quintile_spread)}`}>
{fmtSpread(row.mean_quintile_spread)}
</td>
</tr>
);
})}
</tbody>
</table>
</div>
{report.signal_eval_note && (
<p className="mt-2 text-[11px] text-gray-600">{report.signal_eval_note}</p>
)}
</div>
)}
<p className="text-[11px] text-gray-600">{report.note}</p>
<p className="text-[11px] text-gray-600">
Strategy research — gate tuning, exit sweeps, factor rank-IC — now runs locally against a
database snapshot (see README). This page keeps only what says whether the promoted strategy
is worth trading and being delivered live.
</p>
</>
)}
</div>
@@ -1,126 +1,12 @@
import { useState } from 'react';
import { useMutation, useQueryClient } from '@tanstack/react-query';
import { useActivation } from '../../hooks/useActivation';
import { activationSummary } from '../../lib/qualification';
import { usePerformance } from '../../hooks/usePerformance';
import { useBacktestReport } from '../../hooks/useMarketRegime';
import { triggerJob, resetTrackRecord } from '../../api/admin';
import { Button } from '../ui/Button';
import { Callout } from '../ui/Callout';
import { Disclosure } from '../ui/Disclosure';
import { Section } from '../ui/Section';
import { SkeletonCard } from '../ui/Skeleton';
import { useToast } from '../ui/Toast';
import { RECOMMENDATION_ACTION_LABELS } from '../../lib/recommendation';
import { BacktestPanel } from './BacktestPanel';
import { MyTradesPanel } from './MyTradesPanel';
import type { OutcomeBucketStats } from '../../lib/types';
// Need at least this many matured setups before a live-vs-backtest verdict means
// anything; below it the live sample is too noisy to compare.
const MIN_MATURED = 20;
// Live expectancy this far (in R) below the backtest counts as drift, not noise.
const DRIFT_TOLERANCE_R = 0.2;
type TrackingStatus = 'building' | 'tracking' | 'drift' | 'no-backtest';
function fmtR(value: number | null): string {
if (value === null) return '—';
return `${value > 0 ? '+' : ''}${value.toFixed(2)}R`;
}
function fmtPct(value: number | null): string {
return value === null ? '—' : `${value.toFixed(1)}%`;
}
function rColor(value: number | null): string {
if (value === null) return 'text-gray-400';
if (value > 0) return 'text-emerald-400';
if (value < 0) return 'text-red-400';
return 'text-gray-300';
}
function VerdictChip({ status }: { status: TrackingStatus }) {
const styles: Record<TrackingStatus, { cls: string; label: string }> = {
tracking: { cls: 'border-emerald-500/30 bg-emerald-500/15 text-emerald-300', label: '✓ tracking' },
drift: { cls: 'border-amber-500/30 bg-amber-500/15 text-amber-300', label: '⚠ drift' },
building: { cls: 'border-white/10 bg-white/[0.05] text-gray-400', label: 'building' },
'no-backtest': { cls: 'border-white/10 bg-white/[0.05] text-gray-400', label: 'no backtest' },
};
const s = styles[status];
return <span className={`shrink-0 rounded-full border px-2.5 py-1 text-xs font-medium ${s.cls}`}>{s.label}</span>;
}
function StatCard({ label, value, valueClass = 'text-gray-100', sub }: {
label: string;
value: string;
valueClass?: string;
sub?: string;
}) {
return (
<div className="glass p-5">
<p className="section-index">{label}</p>
<p className={`num mt-2 text-2xl font-semibold ${valueClass}`}>{value}</p>
{sub && <p className="mt-1 text-xs text-gray-500">{sub}</p>}
</div>
);
}
function actionLabel(key: string): string {
return RECOMMENDATION_ACTION_LABELS[key as keyof typeof RECOMMENDATION_ACTION_LABELS] ?? key;
}
function BreakdownTable({ rows, labelHeader, mapLabel }: {
rows: Record<string, OutcomeBucketStats>;
labelHeader: string;
mapLabel?: (key: string) => string;
}) {
const entries = Object.entries(rows);
if (entries.length === 0) {
return <Callout variant="empty">No matured setups in this breakdown yet.</Callout>;
}
return (
<div className="glass overflow-x-auto">
<table className="w-full text-sm">
<thead>
<tr className="border-b border-white/[0.06] text-left text-xs uppercase tracking-wider text-gray-500">
<th className="px-4 py-3">{labelHeader}</th>
<th className="px-4 py-3 text-right">Setups</th>
<th className="px-4 py-3 text-right">Wins</th>
<th className="px-4 py-3 text-right">Losses</th>
<th className="px-4 py-3 text-right">Expired</th>
<th className="px-4 py-3 text-right">Hit Rate</th>
<th className="px-4 py-3 text-right">Avg R</th>
<th className="px-4 py-3 text-right">Total R</th>
</tr>
</thead>
<tbody>
{entries.map(([key, stats]) => (
<tr key={key} className="border-b border-white/[0.04] transition-colors duration-150 hover:bg-white/[0.03]">
<td className="px-4 py-3 font-medium text-gray-200">{mapLabel ? mapLabel(key) : key}</td>
<td className="num px-4 py-3 text-right text-gray-300">{stats.total}</td>
<td className="num px-4 py-3 text-right text-emerald-400">{stats.wins}</td>
<td className="num px-4 py-3 text-right text-red-400">{stats.losses}</td>
<td className="num px-4 py-3 text-right text-gray-400">{stats.expired}</td>
<td className="num px-4 py-3 text-right text-gray-200">{fmtPct(stats.hit_rate)}</td>
<td className={`num px-4 py-3 text-right ${rColor(stats.avg_r)}`}>{fmtR(stats.avg_r)}</td>
<td className={`num px-4 py-3 text-right ${rColor(stats.total_r)}`}>{fmtR(stats.total_r)}</td>
</tr>
))}
</tbody>
</table>
</div>
);
}
export function TrackRecordPanel() {
const [qualifiedOnly, setQualifiedOnly] = useState(true);
const activation = useActivation();
const { data, isLoading, isError, error } = usePerformance(
qualifiedOnly ? { qualified_only: true } : undefined,
);
const backtest = useBacktestReport();
const queryClient = useQueryClient();
const toast = useToast();
@@ -158,148 +44,34 @@ export function TrackRecordPanel() {
}
};
// Live (matured cohort) vs the backtest, like-for-like with the qualified toggle.
const live = data?.overall ?? null;
const btBucket = qualifiedOnly ? backtest.data?.overall_qualified : backtest.data?.overall_all;
const liveAvgR = live?.avg_r ?? null;
const liveN = live?.total ?? 0;
const btAvgR = btBucket?.avg_r ?? null;
let status: TrackingStatus = 'building';
if (liveAvgR != null && liveN >= MIN_MATURED) {
status = btAvgR == null ? 'no-backtest' : liveAvgR >= btAvgR - DRIFT_TOLERANCE_R ? 'tracking' : 'drift';
}
const verdictNote: Record<TrackingStatus, string> = {
building: `Not enough matured setups yet (need ~${MIN_MATURED}). Only setups whose full ~30-day window has elapsed are counted — the rest are still maturing. Until then, the backtest is your edge estimate; this becomes a live check as setups age past ~6 weeks.`,
'no-backtest': 'Run the backtest below to get a baseline to compare the live record against.',
tracking: 'Live setups are resolving in line with the backtest — the running system is faithfully implementing it (no look-ahead, config or data drift).',
drift: 'Live expectancy is running materially below the backtest. Could be small-sample noise, a regime shift, or a config/data/look-ahead gap between live and the backtest — worth a look.',
};
return (
<div className="space-y-6">
{/* Your real, realized results come first; the live-vs-backtest check follows. */}
{/* Your real, realized results come first; the strategy validation follows. */}
<MyTradesPanel />
<div className="border-t border-white/[0.06]" />
<BacktestPanel />
<Section title="Live vs Backtest" hint="is the live system tracking the backtest?">
{isError ? (
<Callout variant="error">
{error instanceof Error ? error.message : 'Failed to load performance stats'}
</Callout>
) : (
<div className="glass-sm space-y-2.5 p-4">
<div className="flex flex-wrap items-center justify-between gap-x-6 gap-y-2">
<div className="flex flex-wrap items-baseline gap-x-5 gap-y-1">
<span className="text-sm text-gray-400">
Live <span className={`num font-semibold ${rColor(liveAvgR)}`}>{fmtR(liveAvgR)}</span>
</span>
<span className="text-sm text-gray-400">
Backtest <span className={`num font-semibold ${rColor(btAvgR)}`}>{fmtR(btAvgR)}</span>
</span>
<span className="text-xs text-gray-500">
{liveN} matured{data ? ` · ${data.maturing} maturing` : ''} · {qualifiedOnly ? 'qualified' : 'all setups'}
</span>
</div>
<VerdictChip status={status} />
</div>
<p className="text-[11px] leading-relaxed text-gray-500">{verdictNote[status]}</p>
</div>
)}
</Section>
<Disclosure summary="Outcome details (matured cohort)">
<div className="space-y-4 pt-1">
<label className="flex w-fit cursor-pointer items-center gap-2.5 text-sm text-gray-300">
<input
type="checkbox"
checked={qualifiedOnly}
onChange={(e) => setQualifiedOnly(e.target.checked)}
className="h-4 w-4 cursor-pointer accent-blue-400"
/>
<span>
Qualified signals only
{activation.data && (
<span className="num ml-2 text-xs text-gray-500">{activationSummary(activation.data)}</span>
)}
</span>
</label>
{isLoading && (
<div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-4">
<SkeletonCard /><SkeletonCard /><SkeletonCard /><SkeletonCard />
</div>
)}
{data && data.overall.total === 0 && (
<Callout variant="empty">
{data.maturing > 0
? `No setups have completed their ~30-day window yet — ${data.maturing} still maturing. ` +
'Counting them earlier would skew toward quick stop-outs.'
: 'No matured setups yet. Outcomes appear once setups complete their evaluation window — the evaluator runs nightly, or click Evaluate Now.'}
</Callout>
)}
{data && data.overall.total > 0 && (
<>
<div className="grid gap-4 sm:grid-cols-2 lg:grid-cols-4">
<StatCard
label="Hit Rate"
value={fmtPct(data.overall.hit_rate)}
sub={`${data.overall.wins} wins / ${data.overall.losses} losses`}
/>
<StatCard
label="Expectancy"
value={fmtR(data.overall.avg_r)}
valueClass={rColor(data.overall.avg_r)}
sub="average R per trade"
/>
<StatCard
label="Total R"
value={fmtR(data.overall.total_r)}
valueClass={rColor(data.overall.total_r)}
sub="cumulative risk-adjusted result"
/>
<StatCard
label="Matured"
value={String(data.overall.total)}
sub={`${data.maturing} maturing · ${data.overall.expired} expired`}
/>
</div>
<Section title="By Recommended Action">
<BreakdownTable rows={data.by_action} labelHeader="Action" mapLabel={actionLabel} />
</Section>
<Section title="By Confidence" hint="at detection time · all setups">
<BreakdownTable rows={data.by_confidence} labelHeader="Confidence" />
</Section>
</>
)}
<div className="flex flex-wrap items-center justify-between gap-3 border-t border-white/[0.06] pt-3">
<p className="max-w-2xl text-xs text-gray-500">
Each setup is replayed against the daily bars after detection: target before stop = win,
stop first = loss (both in one bar counts conservatively as a loss), neither within 30
trading days = expired at 0R. Only setups whose full window has elapsed are counted; younger
ones are still <span className="text-gray-300">maturing</span> (near stops resolve fast, far
targets need time, so early numbers would skew negative). The evaluator runs nightly.
</p>
<div className="flex shrink-0 items-center gap-2">
<Button onClick={() => evaluateMutation.mutate()} loading={evaluateMutation.isPending}>
{evaluateMutation.isPending ? 'Evaluating…' : 'Evaluate Now'}
</Button>
<Button variant="danger" onClick={onReset} loading={resetMutation.isPending}>
{resetMutation.isPending ? 'Resetting…' : 'Reset'}
</Button>
</div>
<Disclosure summary="Track-record maintenance">
<div className="space-y-3 pt-1">
<p className="max-w-2xl text-xs text-gray-500">
The live check replays every setup against the daily bars after detection: target before stop =
win, stop first = loss (both in one bar counts conservatively as a loss), neither within 30
trading days = expired at 0R. Only setups whose full window has elapsed count; younger ones are
still maturing (near stops resolve fast, far targets need time, so early numbers skew negative).
The evaluator scores <span className="text-gray-300">all</span> setups qualified or not, so
unqualified ones stay a control group and runs nightly. Reset permanently clears all setups and
their outcomes; live setups regenerate on the next scan.
</p>
<div className="flex flex-wrap items-center gap-2">
<Button onClick={() => evaluateMutation.mutate()} loading={evaluateMutation.isPending}>
{evaluateMutation.isPending ? 'Evaluating…' : 'Evaluate Now'}
</Button>
<Button variant="danger" onClick={onReset} loading={resetMutation.isPending}>
{resetMutation.isPending ? 'Resetting…' : 'Reset'}
</Button>
</div>
</div>
</Disclosure>
<div className="border-t border-white/[0.06] pt-2" />
<BacktestPanel />
</div>
);
}