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import { useEffect, useMemo, useState } from "react";
import {
LineChart,
Line,
XAxis,
YAxis,
Tooltip,
ResponsiveContainer,
Legend,
CartesianGrid,
AreaChart,
Area,
BarChart,
Bar,
} from "recharts";
import {
apiGetLatestDataset,
apiUpsertDataset,
apiGetAnnotation,
apiUpsertAnnotation,
DataDict,
} from "./api";
type SeriesPoint = { date: string; close: number[] };
type ViewMode = "daily" | "intraday";
const START_DAY = 7;
/* --------------------- utils --------------------- */
function latestClose(p: SeriesPoint): number {
const arr = p.close;
if (!Array.isArray(arr) || arr.length === 0) throw new Error(`Empty close array at ${p.date}`);
const last = arr[arr.length - 1];
if (!Number.isFinite(last)) throw new Error(`Invalid close value at ${p.date}`);
return last;
}
function uuidv4() {
return "xxxxxxxx-xxxx-4xxx-yxxx-xxxxxxxxxxxx".replace(/[xy]/g, (c) => {
const r = (Math.random() * 16) | 0,
v = c === "x" ? r : (r & 0x3) | 0x8;
return v.toString(16);
});
}
function getOrCreateUserId() {
const k = "annot_user_id";
let uid = localStorage.getItem(k);
if (!uid) {
uid = uuidv4();
localStorage.setItem(k, uid);
}
return uid;
}
function stableHash(str: string): string {
let h = 5381;
for (let i = 0; i < str.length; i++) h = (h * 33) ^ str.charCodeAt(i);
return (h >>> 0).toString(16);
}
/** Example data in the new format (close is a rolling intraday array up to 500) */
function generateFakeJSON(maxLen = 500): DataDict {
const randTicker = () => Math.random().toString(36).substring(2, 6).toUpperCase();
const tickers = Array.from({ length: 5 }, () => randTicker());
const start = new Date("2024-01-02T00:00:00Z");
const dates = Array.from({ length: 67 }, (_, i) => {
const d = new Date(start);
d.setDate(start.getDate() + i);
return d.toISOString().slice(0, 10);
});
const out: DataDict = {};
for (let a = 0; a < 5; a++) {
const ticker = tickers[a];
let price = 80 + Math.random() * 40;
const mu = (Math.random() * 0.1 - 0.05) / 252;
const sigma = 0.15 + Math.random() * 0.35;
const series: SeriesPoint[] = [];
for (let i = 0; i < dates.length; i++) {
// Fake minute series (varying length)
const mins = 200 + Math.floor(Math.random() * 100);
const intraday: number[] = [];
let p = price;
for (let m = 0; m < mins; m++) {
const dz = (Math.random() - 0.5) * 0.004;
p = Math.max(0.01, p * (1 + dz));
intraday.push(Number(p.toFixed(2)));
}
series.push({ date: dates[i], close: intraday });
const drift = mu + (sigma / Math.sqrt(252)) * ((Math.random() - 0.5) * 2.0);
price = intraday[intraday.length - 1] * (1 + drift);
}
out[ticker] = series;
}
return out;
}
/* --------------------- NEW: observation delta type --------------------- */
type ObservationDelta = {
step: number;
window_len_before: number; // confirm 前用户已看到的天数 d
new_day_idx: number; // 新增那一天 index(0-based)
new_date: string;
daily_close: Record<string, number>; // asset -> latestClose at new_day_idx
};
/* --------------------- component --------------------- */
export default function App() {
const userId = getOrCreateUserId();
const [datasetId, setDatasetId] = useState<string | null>(null);
const [datasetName, setDatasetName] = useState<string>("");
const [rawData, setRawData] = useState<DataDict>({});
const [assets, setAssets] = useState<string[]>([]);
const [dates, setDates] = useState<string[]>([]);
// Dynamic caps
const maxDays = dates.length || 67;
const maxSteps = Math.max(0, maxDays - START_DAY);
const [step, setStep] = useState(1);
const [windowLen, setWindowLen] = useState(START_DAY);
const [selectedAsset, setSelectedAsset] = useState<string | null>(null);
const [hoverAsset, setHoverAsset] = useState<string | null>(null);
const [selections, setSelections] = useState<{ step: number; date: string; asset: string; ret: number }[]>([]);
const [observations, setObservations] = useState<ObservationDelta[]>([]); // NEW
const [message, setMessage] = useState("");
const [confirming, setConfirming] = useState(false);
const [finalSaved, setFinalSaved] = useState(false);
const [viewMode, setViewMode] = useState<ViewMode>("daily");
const [intradayDayIdx, setIntradayDayIdx] = useState<number | null>(null);
/* ---------- localStorage keys ---------- */
const LS_DATASET_KEY = "annot_dataset_meta";
const LS_DATA_PREFIX = (id: string) => `annot_dataset_${id}`;
const LS_ANN_PREFIX = (id: string, uid: string) => `annot_user_${uid}_ds_${id}`;
/* ---------- alias map ---------- */
const aliasMap = useMemo(() => {
const m: Record<string, string> = {};
assets.forEach((a, i) => {
m[a] = `Ticker ${i + 1}`;
});
return m;
}, [assets]);
const aliasOf = (a?: string | null) => (a && aliasMap[a]) || a || "";
/* ---------- boot ---------- */
useEffect(() => {
const boot = async () => {
try {
const metaRaw = localStorage.getItem(LS_DATASET_KEY);
if (metaRaw) {
const meta = JSON.parse(metaRaw);
if (meta?.datasetId) {
const dJson = localStorage.getItem(LS_DATA_PREFIX(meta.datasetId));
if (dJson) {
const payload = JSON.parse(dJson) as {
data: DataDict;
assets: string[];
dates: string[];
name?: string;
};
loadDatasetIntoState(meta.datasetId, payload.data, payload.assets, payload.dates, payload.name || "");
await loadUserAnnotation(meta.datasetId);
return;
}
}
}
try {
const ds = await apiGetLatestDataset();
const id = (ds.id ?? ds.dataset_id) as string;
const name = ds.name || "";
const data = ds.data as DataDict;
const dsAssets = ds.assets as string[];
const dsDates = ds.dates as string[];
persistDatasetLocal(id, data, dsAssets, dsDates, name);
loadDatasetIntoState(id, data, dsAssets, dsDates, name);
await loadUserAnnotation(id);
return;
} catch {}
const example = generateFakeJSON();
const keys = Object.keys(example);
const dsDates = example[keys[0]].map((d) => d.date);
const id = stableHash(JSON.stringify({ assets: keys, dates: dsDates }));
persistDatasetLocal(id, example, keys, dsDates, "Example");
loadDatasetIntoState(id, example, keys, dsDates, "Example");
} catch (e) {
console.warn("Boot failed:", e);
}
};
boot();
// eslint-disable-next-line react-hooks/exhaustive-deps
}, []);
function persistDatasetLocal(id: string, data: DataDict, a: string[], d: string[], name: string) {
localStorage.setItem(LS_DATASET_KEY, JSON.stringify({ datasetId: id, name }));
localStorage.setItem(LS_DATA_PREFIX(id), JSON.stringify({ data, assets: a, dates: d, name }));
}
function loadDatasetIntoState(id: string, data: DataDict, a: string[], d: string[], name: string) {
setDatasetId(id);
setDatasetName(name || "");
setRawData(data);
setAssets(a);
setDates(d);
setStep(1);
setWindowLen(Math.min(START_DAY, Math.max(1, d.length)));
setSelections([]);
setObservations([]); // NEW
setSelectedAsset(null);
setViewMode("daily");
setIntradayDayIdx(null);
setMessage(`Loaded dataset ${name || id}: ${a.length} assets, ${d.length} days.`);
setFinalSaved(false);
}
async function loadUserAnnotation(id: string) {
const localRaw = localStorage.getItem(LS_ANN_PREFIX(id, userId));
if (localRaw) {
try {
const ann = JSON.parse(localRaw);
setSelections(ann.selections || []);
setObservations(ann.observations || []); // NEW
setStep(ann.step || 1);
setWindowLen(ann.window_len || START_DAY);
setIntradayDayIdx(null);
} catch {}
}
try {
const ann = await apiGetAnnotation(id, userId);
setSelections(ann.selections || []);
setObservations(ann.observations || []); // NEW
setStep(ann.step || 1);
setWindowLen(ann.window_len || START_DAY);
setIntradayDayIdx(null);
localStorage.setItem(LS_ANN_PREFIX(id, userId), JSON.stringify(ann));
} catch {}
}
function persistAnnotationLocal() {
if (!datasetId) return;
const ann = {
user_id: userId,
dataset_id: datasetId,
selections,
observations, // NEW
step,
window_len: windowLen,
};
localStorage.setItem(LS_ANN_PREFIX(datasetId, userId), JSON.stringify(ann));
}
async function upsertAnnotationCloud() {
if (!datasetId) return;
try {
// Backend may not accept extra fields; keep a safe cast.
await apiUpsertAnnotation({
dataset_id: datasetId,
user_id: userId,
selections,
observations, // NEW (if backend supports, great; if not, backend should ignore or you'll adjust API)
step,
window_len: windowLen,
} as any);
} catch (e) {
console.warn("Upsert annotation failed:", e);
}
}
useEffect(() => {
persistAnnotationLocal();
upsertAnnotationCloud();
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [selections, observations, step, windowLen]);
/* ---------- tie intraday selected day to window ---------- */
useEffect(() => {
if (!dates.length) return;
const lastIdx = Math.min(windowLen - 1, dates.length - 1);
if (intradayDayIdx === null || intradayDayIdx > lastIdx) setIntradayDayIdx(lastIdx);
}, [dates, windowLen, intradayDayIdx]);
/* ---------- upload handler ---------- */
async function onFile(e: any) {
const f = e.target.files?.[0];
if (!f) return;
const reader = new FileReader();
reader.onload = async () => {
try {
const json: DataDict = JSON.parse(String(reader.result));
const keys = Object.keys(json);
if (keys.length === 0) throw new Error("Empty dataset");
const firstArr = json[keys[0]];
if (!Array.isArray(firstArr) || !firstArr[0]?.date || !Array.isArray(firstArr[0]?.close)) {
throw new Error("Invalid series format. Need [{date, close:number[]}]");
}
const refDates = firstArr.map((p) => p.date);
const checkPoint = (p: SeriesPoint) => {
if (!p?.date) throw new Error("Missing date");
if (!Array.isArray(p.close) || p.close.length === 0) throw new Error(`Empty close array at ${p.date}`);
if (p.close.length > 500) throw new Error(`close array exceeds 500 at ${p.date}`);
for (const v of p.close)
if (typeof v !== "number" || !Number.isFinite(v)) throw new Error(`Non numeric close in array at ${p.date}`);
};
for (const k of keys) {
const arr = json[k];
if (!Array.isArray(arr) || arr.length !== firstArr.length) throw new Error("All series must have the same length");
for (let i = 0; i < arr.length; i++) {
const p = arr[i];
checkPoint(p);
if (p.date !== refDates[i]) throw new Error("Date misalignment across assets");
}
}
const dsDates = firstArr.map((d) => d.date);
const id = stableHash(JSON.stringify({ assets: keys, dates: dsDates }));
const name = f.name.replace(/\.[^.]+$/, "");
persistDatasetLocal(id, json, keys, dsDates, name);
loadDatasetIntoState(id, json, keys, dsDates, name);
try {
await apiUpsertDataset({ dataset_id: id, name, data: json, assets: keys, dates: dsDates });
await apiUpsertAnnotation({
dataset_id: id,
user_id: userId,
selections: [],
observations: [], // NEW
step: 1,
window_len: Math.min(START_DAY, Math.max(1, dsDates.length)),
} as any);
} catch (err: any) {
console.warn("Upload to backend failed:", err?.message || err);
}
} catch (err: any) {
setMessage("Failed to parse JSON: " + err.message);
}
};
reader.readAsText(f);
}
/* ---------- computed ---------- */
const isFinal = windowLen >= maxDays || selections.length >= maxSteps;
// Daily (normalized to day 0)
const windowData = useMemo(() => {
if (!dates.length || windowLen < 2) return [] as any[];
const sliceDates = dates.slice(0, windowLen);
return sliceDates.map((date, idx) => {
const row: Record<string, any> = { date };
assets.forEach((a) => {
const base = rawData[a]?.[0] ? latestClose(rawData[a][0] as any) : 1;
const val = rawData[a]?.[idx] ? latestClose((rawData[a] as any)[idx]) : base;
row[a] = base ? val / base : 1;
});
return row;
});
}, [assets, dates, windowLen, rawData]);
// Intraday (single day, normalized to first tick of the day)
const visibleDates = useMemo(() => dates.slice(0, Math.max(0, windowLen)), [dates, windowLen]);
const activeIntradayIdx = intradayDayIdx ?? Math.min(windowLen - 1, dates.length - 1);
const intradayData = useMemo(() => {
if (!dates.length || activeIntradayIdx == null || activeIntradayIdx < 0) return [] as any[];
const maxBars = assets.reduce((m, a) => Math.max(m, (rawData[a] as any)?.[activeIntradayIdx]?.close?.length ?? 0), 0);
const dayFirstPrice: Record<string, number> = {};
assets.forEach((a) => {
const arr = (rawData[a] as any)?.[activeIntradayIdx]?.close ?? [];
dayFirstPrice[a] = arr.length ? arr[0] : 1;
});
const rows: any[] = [];
for (let i = 0; i < maxBars; i++) {
const row: Record<string, any> = { idx: i + 1 };
assets.forEach((a) => {
const arr = (rawData[a] as any)?.[activeIntradayIdx]?.close ?? [];
const val = arr[i];
row[a] = typeof val === "number" ? (dayFirstPrice[a] ? val / dayFirstPrice[a] : null) : null;
});
rows.push(row);
}
return rows;
}, [assets, rawData, dates.length, activeIntradayIdx]);
function realizedNextDayReturn(asset: string) {
const t = windowLen - 1;
if (t + 1 >= dates.length) return null as any;
const series = rawData[asset] as any;
const ret = latestClose(series[t + 1]) / latestClose(series[t]) - 1;
return { date: dates[t + 1], ret };
}
function loadExample() {
const example = generateFakeJSON();
const keys = Object.keys(example);
const first = example[keys[0]] as any[];
const dsDates = first.map((d) => d.date);
const id = stableHash(JSON.stringify({ assets: keys, dates: dsDates }));
persistDatasetLocal(id, example, keys, dsDates, "Example");
loadDatasetIntoState(id, example, keys, dsDates, "Example");
}
function resetSession() {
setSelections([]);
setObservations([]); // NEW
setSelectedAsset(null);
setStep(1);
setWindowLen(Math.min(START_DAY, Math.max(1, dates.length)));
setMessage("Session reset.");
setViewMode("daily");
setIntradayDayIdx(null);
if (datasetId) localStorage.removeItem(LS_ANN_PREFIX(datasetId, userId));
}
function exportLog() {
const blob = new Blob([JSON.stringify(selections, null, 2)], { type: "application/json" });
const url = URL.createObjectURL(blob);
const a = document.createElement("a");
a.href = url;
a.download = `selections_${new Date().toISOString().slice(0, 10)}_${userId}.json`;
a.click();
URL.revokeObjectURL(url);
}
function confirmSelection() {
if (confirming) return;
if (!selectedAsset) {
setMessage("Select a line first.");
return;
}
setConfirming(true);
const res = realizedNextDayReturn(selectedAsset);
if (!res) {
setMessage("No more data available.");
setConfirming(false);
return;
}
// NEW: record observation delta for the newly revealed day (t+1)
const newDayIdx = windowLen; // currently visible: [0..windowLen-1], newly revealed day is index windowLen
if (newDayIdx < dates.length) {
try {
const daily_close: Record<string, number> = {};
for (const a of assets) {
const sp = (rawData[a] as any)?.[newDayIdx];
if (sp) daily_close[a] = latestClose(sp);
}
const obs: ObservationDelta = {
step,
window_len_before: windowLen,
new_day_idx: newDayIdx,
new_date: dates[newDayIdx],
daily_close,
};
setObservations((prev) => [...prev, obs]);
} catch (e) {
console.warn("Failed to record observation:", e);
}
}
const entry = { step, date: res.date, asset: selectedAsset, ret: res.ret };
setSelections((prev) => [...prev, entry]);
setWindowLen((w) => Math.min(w + 1, maxDays));
setStep((s) => s + 1);
setSelectedAsset(null);
setConfirming(false);
setMessage(`Pick ${step}: ${aliasOf(selectedAsset)} → next-day return ${(res.ret * 100).toFixed(2)}%`);
}
const portfolioSeries = useMemo(() => {
let value = 1;
const pts = selections.map((s) => {
value *= 1 + s.ret;
return { step: s.step, date: s.date, value };
});
return [{ step: 0, date: "start", value: 1 }, ...pts];
}, [selections]);
const stats = useMemo(() => {
const rets = selections.map((s) => s.ret);
const N = rets.length;
const cum = portfolioSeries.at(-1)?.value ?? 1;
const mean = N ? rets.reduce((a, b) => a + b, 0) / N : 0;
const variance = N ? rets.reduce((a, b) => a + (b - mean) ** 2, 0) / N : 0;
const stdev = Math.sqrt(variance);
const sharpe = stdev ? (mean * 252) / (stdev * Math.sqrt(252)) : 0;
const wins = rets.filter((r) => r > 0).length;
return { cumRet: cum - 1, stdev, sharpe, wins, N };
}, [portfolioSeries, selections]);
function buildFinalPayload() {
const countsAll = assets.reduce((acc: Record<string, number>, a: string) => {
acc[a] = 0;
return acc;
}, {} as Record<string, number>);
selections.forEach((s) => {
countsAll[s.asset] = (countsAll[s.asset] || 0) + 1;
});
const rankAll = assets
.map((a) => ({ asset: a, votes: countsAll[a] || 0 }))
.sort((x, y) => y.votes - x.votes);
let value = 1;
const portfolio = selections.map((s) => {
value *= 1 + s.ret;
return { step: s.step, date: s.date, value };
});
const lastStep2 = selections.reduce((m, s) => Math.max(m, s.step), 0);
const start30_ = Math.max(1, lastStep2 - 30 + 1);
const lastCols = Array.from(
{ length: Math.min(30, lastStep2 ? lastStep2 - start30_ + 1 : 0) },
(_, i) => start30_ + i
);
const heatGrid = assets.map((a) => ({
asset: a,
cells: lastCols.map((c) => (selections.some((s) => s.asset === a && s.step === c) ? 1 : 0)),
}));
const rets = selections.map((s) => s.ret);
const N = rets.length;
const cum = portfolio.at(-1)?.value ?? 1;
const mean = N ? rets.reduce((a, b) => a + b, 0) / N : 0;
const variance = N ? rets.reduce((a, b) => a + (b - mean) ** 2, 0) / N : 0;
const stdev = Math.sqrt(variance);
const sharpe = stdev ? (mean * 252) / (stdev * Math.sqrt(252)) : 0;
const wins = rets.filter((r) => r > 0).length;
return {
meta: {
saved_at: new Date().toISOString(),
start_day: START_DAY,
max_days: maxDays,
max_steps: maxSteps,
dataset_id: datasetId,
dataset_name: datasetName,
},
assets,
dates,
selections,
observations, // NEW
portfolio,
stats: { cumRet: cum - 1, stdev, sharpe, wins, N },
preference_all: rankAll,
heatmap_last30: { cols: lastCols, grid: heatGrid },
};
}
useEffect(() => {
const final = windowLen >= maxDays || selections.length >= maxSteps;
if (final && !finalSaved) {
try {
const payload = buildFinalPayload();
localStorage.setItem("asset_experiment_final", JSON.stringify(payload));
const blob = new Blob([JSON.stringify(payload, null, 2)], { type: "application/json" });
const url = URL.createObjectURL(blob);
const a = document.createElement("a");
a.href = url;
a.download = `run_summary_${new Date().toISOString().slice(0, 10)}_${userId}.json`;
a.click();
URL.revokeObjectURL(url);
setFinalSaved(true);
} catch (e) {
console.warn("Failed to save final JSON:", e);
}
}
// eslint-disable-next-line react-hooks/exhaustive-deps
}, [windowLen, selections.length, finalSaved, maxDays, maxSteps]);
useEffect(() => {
function onKey(e: KeyboardEvent) {
const tag = (e.target && (e.target as HTMLElement).tagName) || "";
if (tag === "INPUT" || tag === "TEXTAREA") return;
const idx = parseInt((e as any).key, 10) - 1;
if (!Number.isNaN(idx) && idx >= 0 && idx < assets.length) setSelectedAsset(assets[idx]);
if ((e as any).key === "Enter" && Boolean(selectedAsset) && windowLen < maxDays) confirmSelection();
}
window.addEventListener("keydown", onKey);
return () => window.removeEventListener("keydown", onKey);
}, [assets, selectedAsset, windowLen, maxDays]);
if (!datasetId) {
return (
<div className="p-6">
<h1 className="text-xl font-semibold mb-3">Asset Choice Simulation</h1>
<p className="text-sm text-gray-600 mb-2">
Upload a dataset (new format) or load example. Data persists locally & on the Space backend.
</p>
<input type="file" accept="application/json" onChange={onFile} className="text-sm" />
<div className="mt-4">
<button
onClick={loadExample}
className="text-sm px-3 py-1.5 rounded-xl bg-blue-100 text-blue-800 hover:bg-blue-200"
>
Load Example
</button>
</div>
</div>
);
}
const IntradayControls = () => (
<div className="flex items-center gap-2">
<span className="text-xs px-2 py-1 rounded bg-indigo-50 text-indigo-700">
Intraday • {visibleDates[intradayDayIdx ?? 0] || "-"}
</span>
<button
onClick={() => setIntradayDayIdx((i) => (i == null ? 0 : Math.max(0, i - 1)))}
className="text-xs px-2 py-1 rounded-xl border border-gray-200 hover:bg-gray-50"
disabled={(intradayDayIdx ?? 0) <= 0}
title="Prev day"
>
‹
</button>
<select
className="text-xs px-2 py-1 rounded-xl border border-gray-200"
value={intradayDayIdx ?? 0}
onChange={(e) => setIntradayDayIdx(Number(e.target.value))}
>
{visibleDates.map((d, idx) => (
<option key={d} value={idx}>
{d}
</option>
))}
</select>
<button
onClick={() =>
setIntradayDayIdx((i) => (i == null ? 0 : Math.min(visibleDates.length - 1, i + 1)))
}
className="text-xs px-2 py-1 rounded-xl border border-gray-200 hover:bg-gray-50"
disabled={(intradayDayIdx ?? 0) >= visibleDates.length - 1}
title="Next day"
>
›
</button>
</div>
);
return (
<div className="p-6 bg-gray-50 min-h-screen flex flex-col gap-6">
<div className="flex flex-wrap justify-between items-center gap-3">
<div className="flex items-center gap-2">
<h1 className="text-xl font-semibold">Asset Choice Simulation</h1>
<span className="text-[10px] ml-2 px-1.5 py-0.5 rounded bg-amber-200 text-amber-900">
BUILD_TAG: 2025-10-28
</span>
<span className="text-xs text-gray-500">Dataset: {datasetName || datasetId}</span>
<span className="text-xs text-gray-500">User: {userId.slice(0, 8)}…</span>
<span className="text-xs text-gray-500">
Day {windowLen} / {maxDays}
</span>
</div>
<div className="flex flex-wrap items-center gap-2">
<input type="file" accept="application/json" onChange={onFile} className="text-sm" />
<button
onClick={loadExample}
className="text-sm px-3 py-1.5 rounded-xl bg-blue-100 text-blue-800 hover:bg-blue-200"
>
Load Example
</button>
<button
onClick={resetSession}
className="text-sm px-3 py-1.5 rounded-xl bg-gray-200 hover:bg-gray-300"
>
Reset (Keep data)
</button>
<div className="flex rounded-xl overflow-hidden border border-gray-200">
<button
className={`text-xs px-3 py-1.5 ${
viewMode === "daily"
? "bg-gray-900 text-white"
: "bg-white text-gray-700 hover:bg-gray-50"
}`}
onClick={() => setViewMode("daily")}
>
Daily
</button>
<button
className={`text-xs px-3 py-1.5 ${
viewMode === "intraday"
? "bg-gray-900 text-white"
: "bg-white text-gray-700 hover:bg-gray-50"
}`}
onClick={() => setViewMode("intraday")}
>
Intraday (1 day)
</button>
</div>
<button
onClick={exportLog}
className="text-sm px-3 py-1.5 rounded-xl bg-gray-900 text-white hover:bg-black"
>
Export My Log
</button>
</div>
</div>
<div className="bg-white p-4 rounded-2xl shadow">
<div className="flex flex-wrap items-center gap-2 mb-3">
{assets.map((a, i) => (
<button
key={`pick-${a}`}
onClick={() => setSelectedAsset(a)}
className={`text-xs px-2 py-1 rounded-xl border transition ${
selectedAsset === a
? "bg-blue-600 text-white border-blue-600"
: "bg-white text-gray-700 border-gray-200 hover:bg-gray-50"
}`}
title={`Hotkey ${i + 1}`}
>
<span
className="inline-block w-2.5 h-2.5 rounded-full mr-2"
style={{ backgroundColor: `hsl(${(360 / assets.length) * i},70%,50%)` }}
/>
{i + 1}. {aliasOf(a)}
</button>
))}
{assets.length > 0 && (
<span className="text-xs text-gray-500 ml-1">Hotkeys: 1..{assets.length}, Enter confirm</span>
)}
</div>
<div className="h-80 relative">
<ResponsiveContainer width="100%" height="100%">
{viewMode === "intraday" ? (
<LineChart data={intradayData}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="idx" tick={{ fontSize: 10 }} />
<YAxis domain={["auto", "auto"]} tick={{ fontSize: 10 }} />
<Tooltip
contentStyle={{ fontSize: 12 }}
formatter={(v: any, n: any) => [v, aliasMap[n] || n]}
/>
<Legend
onClick={(o: any) => setSelectedAsset(o.value)}
wrapperStyle={{ cursor: "pointer" }}
formatter={(v: any) => aliasMap[v] || v}
/>
{assets.map((a, i) => (
<Line
key={a}
type="linear"
dataKey={a}
name={aliasMap[a] || a}
strokeWidth={selectedAsset === a ? 5 : hoverAsset === a ? 4 : 2.5}
strokeOpacity={selectedAsset && selectedAsset !== a ? 0.3 : 1}
dot={false}
isAnimationActive={false}
stroke={`hsl(${(360 / assets.length) * i},70%,50%)`}
onMouseEnter={() => setHoverAsset(a)}
onMouseLeave={() => setHoverAsset(null)}
onClick={() => setSelectedAsset((p) => (p === a ? null : a))}
connectNulls={false}
/>
))}
</LineChart>
) : (
<LineChart data={windowData}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="date" tick={{ fontSize: 10 }} />
<YAxis domain={["auto", "auto"]} tick={{ fontSize: 10 }} />
<Tooltip
contentStyle={{ fontSize: 12 }}
formatter={(v: any, n: any) => [v, aliasMap[n] || n]}
/>
<Legend
onClick={(o: any) => setSelectedAsset(o.value)}
wrapperStyle={{ cursor: "pointer" }}
formatter={(v: any) => aliasMap[v] || v}
/>
{assets.map((a, i) => (
<Line
key={a}
type="natural"
dataKey={a}
name={aliasMap[a] || a}
strokeWidth={selectedAsset === a ? 5 : hoverAsset === a ? 4 : 2.5}
strokeOpacity={selectedAsset && selectedAsset !== a ? 0.3 : 1}
dot={false}
isAnimationActive={false}
stroke={`hsl(${(360 / assets.length) * i},70%,50%)`}
onMouseEnter={() => setHoverAsset(a)}
onMouseLeave={() => setHoverAsset(null)}
onClick={() => setSelectedAsset((p) => (p === a ? null : a))}
/>
))}
</LineChart>
)}
</ResponsiveContainer>
</div>
{viewMode === "intraday" && (
<div className="mt-3">
<IntradayControls />
</div>
)}
{viewMode !== "intraday" && (
<div className="flex justify-between items-center mt-3">
<div className="text-sm text-gray-600">
Selected: {selectedAsset ? aliasOf(selectedAsset) : "(none)"}{" "}
{message && <span className="ml-2 text-gray-500">{message}</span>}
</div>
<button
onClick={confirmSelection}
disabled={!selectedAsset || windowLen >= maxDays}
className={`px-4 py-2 rounded-xl ${
selectedAsset && windowLen < maxDays ? "bg-blue-600 text-white" : "bg-gray-200 text-gray-500"
}`}
>
Confirm & Next Day →
</button>
</div>
)}
</div>
<div className="bg-white p-4 rounded-2xl shadow">
<h2 className="font-medium mb-2">Portfolio</h2>
<div className="h-64">
<ResponsiveContainer width="100%" height="100%">
<AreaChart data={portfolioSeries}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="step" tick={{ fontSize: 10 }} />
<YAxis domain={["auto", "auto"]} tick={{ fontSize: 10 }} />
<Tooltip />
<Area type="monotone" dataKey="value" stroke="#2563eb" fill="#bfdbfe" />
</AreaChart>
</ResponsiveContainer>
</div>
<ul className="text-sm text-gray-700 mt-2">
<li>Cumulative Return: {(stats.cumRet * 100).toFixed(2)}%</li>
<li>Volatility: {(stats.stdev * 100).toFixed(2)}%</li>
<li>Sharpe: {stats.sharpe.toFixed(2)}</li>
<li>
Winning Days: {stats.wins}/{stats.N}
</li>
</ul>
</div>
<div className="bg-white p-4 rounded-2xl shadow">
<h2 className="font-medium mb-2">Daily Selections</h2>
<div className="overflow-auto rounded-xl border border-gray-100">
<table className="min-w-full text-xs">
<thead className="bg-gray-50 text-gray-500">
<tr>
<th className="px-2 py-1 text-left">Step</th>
<th className="px-2 py-1 text-left">Date (t+1)</th>
<th className="px-2 py-1 text-left">Asset</th>
<th className="px-2 py-1 text-right">Return</th>
</tr>
</thead>
<tbody>
{selections
.slice()
.reverse()
.map((s) => (
<tr key={`${s.step}-${s.asset}-${s.date}`} className="odd:bg-white even:bg-gray-50">
<td className="px-2 py-1">{s.step}</td>
<td className="px-2 py-1">{s.date}</td>
<td className="px-2 py-1">{aliasOf(s.asset)}</td>
<td className={`px-2 py-1 text-right ${s.ret >= 0 ? "text-green-600" : "text-red-600"}`}>
{(s.ret * 100).toFixed(2)}%
</td>
</tr>
))}
</tbody>
</table>
</div>
</div>
</div>
);
}
/** Final summary component (UI shows aliases, data keeps real tickers) */
export function FinalSummary({
assets,
selections,
}: {
assets: string[];
selections: { step: number; date: string; asset: string; ret: number }[];
}) {
const rets = selections.map((s) => s.ret);
const N = rets.length;
const cum = rets.reduce((v, r) => v * (1 + r), 1) - 1;
const mean = N ? rets.reduce((a, b) => a + b, 0) / N : 0;
const variance = N ? rets.reduce((a, b) => a + (b - mean) ** 2, 0) / N : 0;
const stdev = Math.sqrt(variance);
const sharpe = stdev ? (mean * 252) / (stdev * Math.sqrt(252)) : 0;
const wins = rets.filter((r) => r > 0).length;
const countsAll: Record<string, number> = assets.reduce((acc: any, a: string) => {
acc[a] = 0;
return acc;
}, {} as Record<string, number>);
selections.forEach((s) => {
countsAll[s.asset] = (countsAll[s.asset] || 0) + 1;
});
const rankAll = assets.map((a) => ({ asset: a, votes: countsAll[a] || 0 })).sort((x, y) => y.votes - x.votes);
const aliasMap = useMemo(() => {
const m: Record<string, string> = {};
assets.forEach((a, i) => {
m[a] = `Ticker ${i + 1}`;
});
return m;
}, [assets]);
const rankAllForChart = useMemo(() => {
return rankAll.map((r) => ({ asset: aliasMap[r.asset] || r.asset, votes: r.votes }));
}, [rankAll, aliasMap]);
const lastStep = selections.reduce((m, s) => Math.max(m, s.step), 0);
const start30 = Math.max(1, lastStep - 30 + 1);
const cols = Array.from({ length: Math.min(30, lastStep ? lastStep - start30 + 1 : 0) }, (_, i) => start30 + i);
const grid = assets.map((a) => ({
asset: aliasMap[a] || a,
cells: cols.map((c) => (selections.some((s) => s.asset === a && s.step === c) ? 1 : 0)),
}));
return (
<div className="p-6 bg-gray-50 min-h-screen flex flex-col gap-6">
<h1 className="text-xl font-semibold">Final Summary</h1>
<div className="bg-white p-4 rounded-2xl shadow">
<h2 className="font-medium mb-2">Overall Metrics</h2>
<ul className="text-sm text-gray-700 space-y-1">
<li>Total Picks: {N}</li>
<li>Win Rate: {(N ? (wins / N) * 100 : 0).toFixed(1)}%</li>
<li>Cumulative Return: {(cum * 100).toFixed(2)}%</li>
<li>Volatility: {(stdev * 100).toFixed(2)}%</li>
<li>Sharpe (rough): {sharpe.toFixed(2)}</li>
<li>
Top Preference: {aliasMap[rankAll[0]?.asset ?? ""] ?? "-"} ({rankAll[0]?.votes ?? 0})
</li>
</ul>
</div>
<div className="bg-white p-4 rounded-2xl shadow">
<h2 className="font-medium mb-2">Selection Preference Ranking</h2>
<div className="h-56">
<ResponsiveContainer width="100%" height="100%">
<BarChart data={rankAllForChart} margin={{ left: 8, right: 8, top: 8, bottom: 8 }}>
<CartesianGrid strokeDasharray="3 3" />
<XAxis dataKey="asset" tick={{ fontSize: 10 }} />
<YAxis allowDecimals={false} tick={{ fontSize: 10 }} />
<Tooltip />
<Bar dataKey="votes" fill="#60a5fa" />
</BarChart>
</ResponsiveContainer>
</div>
</div>
<div className="bg-white p-4 rounded-2xl shadow">
<h2 className="font-medium mb-2">Selection Heatmap (Last 30 Steps)</h2>
<div className="overflow-auto">
<table className="text-xs border-collapse">
<thead>
<tr>
<th className="p-1 pr-2 text-left sticky left-0 bg-white">Asset</th>
{cols.map((c) => (
<th key={c} className="px-1 py-1 text-center">
{c}
</th>
))}
</tr>
</thead>
<tbody>
{grid.map((row) => (
<tr key={row.asset}>
<td className="p-1 pr-2 font-medium sticky left-0 bg-white">{row.asset}</td>
{row.cells.map((v, j) => (
<td
key={j}
className="w-6 h-6"
style={{
background: v ? "#2563eb" : "#e5e7eb",
opacity: v ? 0.9 : 1,
border: "1px solid #ffffff",
}}
/>
))}
</tr>
))}
</tbody>
</table>
</div>
</div>
</div>
);
}
|