feat(web): 因子研究升级 + 因子组合页

- 因子元数据增加 brief 使用简介(后端 FactorDef + /api/factors 返回,9 个内置因子补齐文案)
- 因子研究页:
  · 时间默认「今日 ~ 近 6 个月」
  · 因子多选,逐个跑 IC/RankIC Job 并分卡展示报告
  · 目录显示使用简介,行点击展开公式/方向/用法详解
  · 新增计分规则说明与「去因子组合」入口
- 因子组合页 /factors/compose:多因子勾选+权重、组合得分规则说明(z-score×权重求和→TopN),
  可配 topN/调仓/区间/ST,一键回测 Job → 净值/回撤/月度/未建模标注
- 回测页时间默认同样近 6 月
- 验证:tsc + next build 通过;组合回测(momentum_60×1.5 + volatility_60×1.0)Job 成功归档
  EXP-330CAAAE(-13.51%,交易 20);后端 factors/research/api 相关测试通过 / ruff clean
This commit is contained in:
Simon
2026-09-07 21:36:16 +08:00
parent 1cf7c84897
commit a77d3c13c3
10 changed files with 519 additions and 97 deletions
+1
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@@ -15,6 +15,7 @@ def list_factor_catalog() -> list[dict]:
{ {
"name": d.name, "name": d.name,
"description": d.description, "description": d.description,
"brief": d.brief,
"formula": d.formula, "formula": d.formula,
"frequency": d.frequency, "frequency": d.frequency,
"lookback": d.lookback, "lookback": d.lookback,
+3 -1
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@@ -130,7 +130,9 @@ def get_settings() -> Settings:
except (TypeError, ValueError): except (TypeError, ValueError):
job_memory_limit_gb = 6 job_memory_limit_gb = 6
try: try:
job_max_concurrent = int(os.environ.get("QLIB_JOB_MAX_CONCURRENT") or job_cfg.get("max_concurrent_jobs") or 2) job_max_concurrent = int(
os.environ.get("QLIB_JOB_MAX_CONCURRENT") or job_cfg.get("max_concurrent_jobs") or 2
)
except (TypeError, ValueError): except (TypeError, ValueError):
job_max_concurrent = 2 job_max_concurrent = 2
+26 -3
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@@ -21,6 +21,7 @@ class FactorDef:
name: str name: str
description: str description: str
formula: str formula: str
brief: str = "" # 一句话使用简介(面向用户:怎么用、什么时候有效)
frequency: str = "daily" frequency: str = "daily"
lookback: int = 20 lookback: int = 20
direction: str = "higher_is_better" # | lower_is_better direction: str = "higher_is_better" # | lower_is_better
@@ -82,14 +83,26 @@ def _rolling_vol(prices: pd.DataFrame, lookback: int) -> pd.DataFrame:
@register( @register(
FactorDef("momentum_20", "过去 20 个交易日收益率", "close / close.shift(20) - 1", lookback=20) FactorDef(
"momentum_20",
"过去 20 个交易日收益率",
"close / close.shift(20) - 1",
brief="短期动量:近一个月强势股延续性较强,适合趋势延续环境(牛市中段);震荡市易追高。",
lookback=20,
)
) )
def _momentum_20(fields: dict[str, pd.DataFrame]) -> pd.DataFrame: def _momentum_20(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
return _rolling_return(fields["close"], 20) return _rolling_return(fields["close"], 20)
@register( @register(
FactorDef("momentum_60", "过去 60 个交易日收益率", "close / close.shift(60) - 1", lookback=60) FactorDef(
"momentum_60",
"过去 60 个交易日收益率",
"close / close.shift(60) - 1",
brief="中期动量:A 股常见有效时段(约 1~3 个月),趋势行情首选;需结合市场阶段判断方向。",
lookback=60,
)
) )
def _momentum_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame: def _momentum_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
return _rolling_return(fields["close"], 60) return _rolling_return(fields["close"], 60)
@@ -97,7 +110,11 @@ def _momentum_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
@register( @register(
FactorDef( FactorDef(
"momentum_120", "过去 120 个交易日收益率", "close / close.shift(120) - 1", lookback=120 "momentum_120",
"过去 120 个交易日收益率",
"close / close.shift(120) - 1",
brief="长期动量:反映近半年强势,适合大级别趋势;换手慢、回撤修复慢,弱市慎用。",
lookback=120,
) )
) )
def _momentum_120(fields: dict[str, pd.DataFrame]) -> pd.DataFrame: def _momentum_120(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
@@ -109,6 +126,7 @@ def _momentum_120(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"volatility_20", "volatility_20",
"过去 20 个交易日收益率波动率", "过去 20 个交易日收益率波动率",
"std(pct_change, 20)", "std(pct_change, 20)",
brief="低波防御(方向 lower_is_better):近月波动小的股票抗跌,弱市/熊市阶段相对占优。",
lookback=20, lookback=20,
direction="lower_is_better", direction="lower_is_better",
) )
@@ -122,6 +140,7 @@ def _volatility_20(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"volatility_60", "volatility_60",
"过去 60 个交易日收益率波动率", "过去 60 个交易日收益率波动率",
"std(pct_change, 60)", "std(pct_change, 60)",
brief="低波动(方向 lower_is_better):近一季低波组合长期回测常有超额,是防御型核心因子。",
lookback=60, lookback=60,
direction="lower_is_better", direction="lower_is_better",
) )
@@ -135,6 +154,7 @@ def _volatility_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"close_to_high_60", "close_to_high_60",
"收盘价相对 60 日最高价的接近程度", "收盘价相对 60 日最高价的接近程度",
"close / rolling_max(high, 60)", "close / rolling_max(high, 60)",
brief="贴近 60 日高点(接近新高):趋势确认型强势股,常与动量互补;需配合市场热度判断。",
lookback=60, lookback=60,
requires=("close", "high"), requires=("close", "high"),
) )
@@ -149,6 +169,7 @@ def _close_to_high_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"volume_ratio_5_60", "volume_ratio_5_60",
"量比:5 日均量 / 60 日均量", "量比:5 日均量 / 60 日均量",
"mean(volume, 5) / mean(volume, 60)", "mean(volume, 5) / mean(volume, 60)",
brief="量比放大提示资金关注(短线活跃型);高换手也伴随更高波动,注意与波动因子搭配。",
lookback=60, lookback=60,
requires=("volume",), requires=("volume",),
) )
@@ -163,6 +184,7 @@ def _volume_ratio_5_60(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"ma_bias_20", "ma_bias_20",
"20 日均线乖离率", "20 日均线乖离率",
"(close - ma(close, 20)) / ma(close, 20)", "(close - ma(close, 20)) / ma(close, 20)",
brief="20 日均线乖离:上行趋势中正乖离偏强;乖离过大易回落,需警惕过热。",
lookback=20, lookback=20,
) )
) )
@@ -177,6 +199,7 @@ def _ma_bias_20(fields: dict[str, pd.DataFrame]) -> pd.DataFrame:
"reversal_5", "reversal_5",
"短期反转:过去 5 日收益率取负(越低越接近超跌)", "短期反转:过去 5 日收益率取负(越低越接近超跌)",
"-1 * (close / close.shift(5) - 1)", "-1 * (close / close.shift(5) - 1)",
brief="短期反转(方向 higher_is_better):前期跌幅大的超跌反弹机会,适合震荡/修复行情。",
lookback=5, lookback=5,
) )
) )
+1 -3
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@@ -76,9 +76,7 @@ class TestBacktestMain:
engine = LocalEngine() engine = LocalEngine()
momentum = _spec() # momentum_20 momentum = _spec() # momentum_20
assert engine.required_columns(momentum) == {"close"} assert engine.required_columns(momentum) == {"close"}
volume = _spec().model_copy( volume = _spec().model_copy(update={"factors": [FactorSpec(name="volume_ratio_5_60")]})
update={"factors": [FactorSpec(name="volume_ratio_5_60")]}
)
assert engine.required_columns(volume) == {"close", "volume"} assert engine.required_columns(volume) == {"close", "volume"}
unknown = _spec().model_copy(update={"factors": [FactorSpec(name="no_such")]}) unknown = _spec().model_copy(update={"factors": [FactorSpec(name="no_such")]})
# 未知因子不参与列裁剪,交由执行期统一报错 # 未知因子不参与列裁剪,交由执行期统一报错
+6 -2
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@@ -4,6 +4,7 @@ import { useEffect, useState } from "react";
import { apiGet } from "@/lib/api"; import { apiGet } from "@/lib/api";
import { submitJob, waitJob } from "@/lib/jobs"; import { submitJob, waitJob } from "@/lib/jobs";
import type { BacktestResult, FactorMeta, ResearchSpec } from "@/lib/types"; import type { BacktestResult, FactorMeta, ResearchSpec } from "@/lib/types";
import { recentRange } from "@/lib/dates";
import { LineChart } from "@/components/LineChart"; import { LineChart } from "@/components/LineChart";
export default function BacktestPage() { export default function BacktestPage() {
@@ -11,8 +12,8 @@ export default function BacktestPage() {
const [factor, setFactor] = useState("momentum_60"); const [factor, setFactor] = useState("momentum_60");
const [topN, setTopN] = useState(5); const [topN, setTopN] = useState(5);
const [rebalance, setRebalance] = useState<"monthly" | "weekly">("monthly"); const [rebalance, setRebalance] = useState<"monthly" | "weekly">("monthly");
const [start, setStart] = useState("2024-03-01"); const [start, setStart] = useState("");
const [end, setEnd] = useState("2024-12-31"); const [end, setEnd] = useState("");
const [excludeSt, setExcludeSt] = useState(true); const [excludeSt, setExcludeSt] = useState(true);
const [result, setResult] = useState<BacktestResult | null>(null); const [result, setResult] = useState<BacktestResult | null>(null);
const [running, setRunning] = useState(false); const [running, setRunning] = useState(false);
@@ -23,6 +24,9 @@ export default function BacktestPage() {
apiGet<FactorMeta[]>("/factors") apiGet<FactorMeta[]>("/factors")
.then(setFactors) .then(setFactors)
.catch((e: Error) => setError(e.message)); .catch((e: Error) => setError(e.message));
const { start: s, end: e } = recentRange();
setStart(s);
setEnd(e);
}, []); }, []);
async function run() { async function run() {
+260
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@@ -0,0 +1,260 @@
"use client";
import { useEffect, useState } from "react";
import { apiGet } from "@/lib/api";
import { LineChart } from "@/components/LineChart";
import { submitJob, waitJob } from "@/lib/jobs";
import type { BacktestResult, FactorMeta, ResearchSpec } from "@/lib/types";
import { recentRange } from "@/lib/dates";
interface Pick {
name: string;
weight: number;
}
export default function ComposePage() {
const [factors, setFactors] = useState<FactorMeta[]>([]);
const [picks, setPicks] = useState<Pick[]>([]);
const [topN, setTopN] = useState(10);
const [rebalance, setRebalance] = useState<"monthly" | "weekly">("monthly");
const [excludeSt, setExcludeSt] = useState(true);
const [start, setStart] = useState("");
const [end, setEnd] = useState("");
const [result, setResult] = useState<BacktestResult | null>(null);
const [running, setRunning] = useState(false);
const [jobId, setJobId] = useState("");
const [error, setError] = useState("");
useEffect(() => {
apiGet<FactorMeta[]>("/factors")
.then((list) => {
setFactors(list);
// 默认示例组合:中期动量(重)+ 低波动(防)
setPicks([
{ name: "momentum_60", weight: 1.5 },
{ name: "volatility_60", weight: 1.0 },
]);
})
.catch((e: Error) => setError(e.message));
const { start: s, end: e } = recentRange();
setStart(s);
setEnd(e);
}, []);
function togglePick(name: string) {
setPicks((prev) =>
prev.some((p) => p.name === name)
? prev.filter((p) => p.name !== name)
: [...prev, { name, weight: 1 }],
);
}
function setWeight(name: string, weight: number) {
setPicks((prev) => prev.map((p) => (p.name === name ? { ...p, weight } : p)));
}
async function run() {
const valid = picks.filter((p) => Number.isFinite(p.weight) && p.weight > 0);
if (valid.length === 0) {
setError("请选择至少一个因子并设置大于 0 的权重");
return;
}
setRunning(true);
setError("");
setJobId("");
setResult(null);
try {
const spec: ResearchSpec = {
type: "backtest",
universe: { exclude_st: excludeSt, min_listing_days: 0 },
factors: valid.map((p) => ({ name: p.name, weight: p.weight })),
selection: { top_n: topN },
rebalance,
period: [start, end],
};
const { job_id } = await submitJob(spec);
setJobId(job_id);
const out = await waitJob<BacktestResult>(job_id);
if (out.status === "success" && out.result) {
setResult(out.result);
} else {
setError(`任务${out.status}${out.error ? `:${out.error}` : ""}`);
}
} catch (e) {
setError((e as Error).message);
} finally {
setRunning(false);
setJobId("");
}
}
return (
<>
<h1>因子组合</h1>
<div className="card">
<h2>组合方式(如何合成一个分数)</h2>
<ol className="muted" style={{ margin: 0, paddingLeft: 18, lineHeight: 1.8 }}>
<li>选择若干因子并设置权重(默认 1;低为好方向由引擎自动反向)。</li>
<li>
每个交易日:每个因子在全体股票横截面上做 <b>z-score 标准化</b>
(该日缺失因子值的股票不参与该因子得分)。
</li>
<li>综合得分 = Σ(权重 × 标准化后因子得分),得分越高越优先。</li>
<li>每期按综合得分取 Top N 等权持有,到下一调仓日再平衡(含成本 / 涨跌停 / 停牌近似)。</li>
</ol>
</div>
<div className="card">
<h2>选因子 + 设权重</h2>
<table>
<thead>
<tr>
<th></th>
<th>因子</th>
<th>方向</th>
<th>权重</th>
<th>简介</th>
</tr>
</thead>
<tbody>
{factors.map((f) => {
const pick = picks.find((p) => p.name === f.name);
return (
<tr key={f.name}>
<td>
<input
type="checkbox"
checked={!!pick}
onChange={() => togglePick(f.name)}
/>
</td>
<td>{f.name}</td>
<td>{f.direction === "higher_is_better" ? "高为好" : "低为好"}</td>
<td>
<input
type="number"
step="0.1"
min="0.1"
style={{ width: 80 }}
value={pick?.weight ?? 1}
disabled={!pick}
onChange={(e) => setWeight(f.name, Number(e.target.value))}
/>
</td>
<td className="muted">{f.brief ?? f.description}</td>
</tr>
);
})}
</tbody>
</table>
</div>
<div className="card">
<h2>回测条件</h2>
<div className="row">
<label className="muted">
Top N{" "}
<input type="number" min={1} max={200} value={topN} onChange={(e) => setTopN(Number(e.target.value))} />
</label>
<label className="muted">
调仓{" "}
<select value={rebalance} onChange={(e) => setRebalance(e.target.value as "monthly" | "weekly")}>
<option value="monthly">月度</option>
<option value="weekly">周度</option>
</select>
</label>
<label className="muted">
开始 <input type="date" value={start} onChange={(e) => setStart(e.target.value)} />
</label>
<label className="muted">
结束 <input type="date" value={end} onChange={(e) => setEnd(e.target.value)} />
</label>
<label className="muted">
<input type="checkbox" checked={excludeSt} onChange={(e) => setExcludeSt(e.target.checked)} />
{" "}剔除 ST
</label>
<button className="primary" onClick={run} disabled={running}>
{running ? "后台运行中…" : `回测组合(${picks.length} 个因子)`}
</button>
</div>
{running && jobId && <div className="muted">任务 {jobId} 后台执行中,请稍候…</div>}
{error && <div className="error">{error}</div>}
</div>
{result && <ResultView result={result} />}
</>
);
}
function ResultView({ result }: { result: BacktestResult }) {
const s = result.summary;
return (
<>
<div className="card">
<h2>
结果 · {s.total_return_pct.toFixed(2)}%{" "}
<span className={s.total_return_pct >= 0 ? "good" : "bad"}>
{s.total_return_pct >= 0 ? "▲" : "▼"}
</span>
</h2>
<div className="stat-grid">
<div className="stat">
<div className="label">期末净值</div>
<div className="value">{s.final_equity.toLocaleString()}</div>
</div>
<div className="stat">
<div className="label">年化收益</div>
<div className="value">{s.annual_return_pct.toFixed(2)}%</div>
</div>
<div className="stat">
<div className="label">Sharpe</div>
<div className="value">{s.sharpe.toFixed(2)}</div>
</div>
<div className="stat">
<div className="label">最大回撤</div>
<div className="value bad">{s.max_drawdown_pct.toFixed(2)}%</div>
</div>
<div className="stat">
<div className="label">胜率</div>
<div className="value">{s.win_rate_pct.toFixed(1)}%</div>
</div>
<div className="stat">
<div className="label">交易 / 换手</div>
<div className="value">{s.total_trades} / {s.avg_turnover_pct.toFixed(0)}%</div>
</div>
</div>
<div style={{ marginTop: 10 }}>
<LineChart title="净值曲线" data={result.equity_curve} color="#34d399" />
</div>
<LineChart title="回撤(%)" data={result.drawdown} color="#f87171" />
</div>
{result.monthly_returns.length > 0 && (
<div className="card">
<h2>月度收益(%)</h2>
<table>
<thead>
<tr>
<th>月份</th>
<th>收益</th>
</tr>
</thead>
<tbody>
{result.monthly_returns.map((m) => (
<tr key={`${m.year}-${m.month}`}>
<td>{m.year}-{String(m.month).padStart(2, "0")}</td>
<td className={m.return_pct >= 0 ? "good" : "bad"}>{m.return_pct.toFixed(2)}%</td>
</tr>
))}
</tbody>
</table>
</div>
)}
<div className="card">
<h2>未建模约束(如实标注)</h2>
<ul className="muted">{result.unimplemented.map((u, i) => <li key={i}>{u}</li>)}</ul>
</div>
</>
);
}
+206 -88
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@@ -4,151 +4,269 @@ import { useEffect, useState } from "react";
import { apiGet } from "@/lib/api"; import { apiGet } from "@/lib/api";
import { submitJob, waitJob } from "@/lib/jobs"; import { submitJob, waitJob } from "@/lib/jobs";
import type { FactorMeta, FactorTestReport, ResearchSpec } from "@/lib/types"; import type { FactorMeta, FactorTestReport, ResearchSpec } from "@/lib/types";
import { recentRange } from "@/lib/dates";
export default function FactorsPage() { export default function FactorsPage() {
const [factors, setFactors] = useState<FactorMeta[]>([]); const [factors, setFactors] = useState<FactorMeta[]>([]);
const [name, setName] = useState("momentum_60"); const [checked, setChecked] = useState<Set<string>>(new Set());
const [start, setStart] = useState("2024-03-01"); const [expanded, setExpanded] = useState<Set<string>>(new Set());
const [end, setEnd] = useState("2024-12-31"); const [start, setStart] = useState("");
const [report, setReport] = useState<FactorTestReport | null>(null); const [end, setEnd] = useState("");
const [reports, setReports] = useState<Record<string, FactorTestReport>>({});
const [running, setRunning] = useState(false); const [running, setRunning] = useState(false);
const [current, setCurrent] = useState<{ idx: number; total: number; name: string } | null>(null);
const [jobId, setJobId] = useState(""); const [jobId, setJobId] = useState("");
const [error, setError] = useState(""); const [error, setError] = useState("");
useEffect(() => { useEffect(() => {
apiGet<FactorMeta[]>("/factors") apiGet<FactorMeta[]>("/factors")
.then(setFactors) .then((list) => {
setFactors(list);
// 默认勾选两个代表性因子
const picks = ["momentum_60", "volatility_60"].filter((n) => list.some((f) => f.name === n));
setChecked(new Set(picks));
})
.catch((e: Error) => setError(e.message)); .catch((e: Error) => setError(e.message));
// 区间默认:近 6 个月(客户端设置,避免 SSR 日期不一致)
const { start: s, end: e } = recentRange();
setStart(s);
setEnd(e);
}, []); }, []);
function toggleCheck(name: string) {
setChecked((prev) => {
const next = new Set(prev);
if (next.has(name)) next.delete(name);
else next.add(name);
return next;
});
}
function toggleExpand(name: string) {
setExpanded((prev) => {
const next = new Set(prev);
if (next.has(name)) next.delete(name);
else next.add(name);
return next;
});
}
async function run() { async function run() {
const names = factors.map((f) => f.name).filter((n) => checked.has(n));
if (names.length === 0) {
setError("请至少选择一个因子");
return;
}
setRunning(true); setRunning(true);
setError(""); setError("");
setJobId(""); setJobId("");
setReport(null); setReports({});
try { try {
const spec: ResearchSpec = { let index = 0;
type: "factor_test", for (const name of names) {
universe: { exclude_st: true, min_listing_days: 0 }, index += 1;
factors: [{ name, weight: 1 }], setCurrent({ idx: index, total: names.length, name });
selection: { top_n: 10 }, const spec: ResearchSpec = {
rebalance: "monthly", type: "factor_test",
period: [start, end], universe: { exclude_st: true, min_listing_days: 0 },
}; factors: [{ name, weight: 1 }],
// 异步 Job:立即返回 job_id,后台执行后轮询取结果(全市场可能数十秒) selection: { top_n: 10 },
const { job_id } = await submitJob(spec); rebalance: "monthly",
setJobId(job_id); period: [start, end],
const out = await waitJob<FactorTestReport>(job_id); };
if (out.status === "success" && out.result) { const { job_id } = await submitJob(spec);
setReport(out.result); setJobId(job_id);
} else { const out = await waitJob<FactorTestReport>(job_id);
setError(`任务${out.status}${out.error ? `:${out.error}` : ""}`); if (out.status === "success" && out.result) {
const report = out.result;
setReports((prev) => ({ ...prev, [name]: report }));
} else {
const msg = `因子 ${name}:${out.status}${out.error ? `:${out.error}` : ""}`;
setError((prev) => (prev ? `${prev}\n${msg}` : msg));
}
} }
} catch (e) { } catch (e) {
setError((e as Error).message); setError((e as Error).message);
} finally { } finally {
setRunning(false); setRunning(false);
setCurrent(null);
setJobId("");
} }
} }
const selectedCount = checked.size;
const doneCount = Object.keys(reports).length;
return ( return (
<> <>
<h1>因子研究</h1> <h1>因子研究</h1>
<div className="card"> <div className="card">
<h2>因子目录(行情因子 · 无未来函数)</h2> <h2>因子目录(行情因子 · 无未来函数)</h2>
<div className="muted" style={{ marginBottom: 8 }}>
勾选因子后可多选;点击行展开详细说明。每个因子运行一次独立的 IC/RankIC 测试并归档。
<a href="/factors/compose" style={{ marginLeft: 8, color: "#38bdf8" }}>
用这些因子搭建选股组合 → 因子组合
</a>
</div>
<table> <table>
<thead> <thead>
<tr> <tr>
<th>名称</th> <th></th>
<th>描述</th> <th>因子</th>
<th>公式</th>
<th>回看</th> <th>回看</th>
<th>方向</th> <th>方向</th>
<th>简介(用法 / 何时有效)</th>
</tr> </tr>
</thead> </thead>
<tbody> <tbody>
{factors.map((f) => ( {factors.map((f) => (
<tr key={f.name}> <FactorRow
<td>{f.name}</td> key={f.name}
<td>{f.description}</td> factor={f}
<td className="muted">{f.formula}</td> checked={checked.has(f.name)}
<td>{f.lookback}</td> expanded={expanded.has(f.name)}
<td>{f.direction === "higher_is_better" ? "高为好" : "低为好"}</td> onToggleCheck={() => toggleCheck(f.name)}
</tr> onToggleExpand={() => toggleExpand(f.name)}
/>
))} ))}
</tbody> </tbody>
</table> </table>
<div className="muted" style={{ marginTop: 6 }}>
计分规则:每因子在每日横截面上 z-score 标准化(低为好自动取负),组合页可按权重叠加得分选股;
本页单个因子测试各自归档为 Experiment,可去「实验」页查看与复跑。
</div>
</div> </div>
<div className="card"> <div className="card">
<h2>运行单因子测试(IC / RankIC / 分层)</h2> <h2>运行单因子测试(IC / RankIC / 分层)</h2>
<div className="row"> <div className="row">
<select value={name} onChange={(e) => setName(e.target.value)}>
{factors.map((f) => (
<option key={f.name} value={f.name}>
{f.name}
</option>
))}
</select>
<label className="muted"> <label className="muted">
开始 <input type="date" value={start} onChange={(e) => setStart(e.target.value)} /> 开始 <input type="date" value={start} onChange={(e) => setStart(e.target.value)} />
</label> </label>
<label className="muted"> <label className="muted">
结束 <input type="date" value={end} onChange={(e) => setEnd(e.target.value)} /> 结束 <input type="date" value={end} onChange={(e) => setEnd(e.target.value)} />
</label> </label>
<button className="primary" onClick={run} disabled={running}> <button
{running ? "后台运行中…" : "运行因子测试"} className="primary"
onClick={run}
disabled={running || selectedCount === 0}
>
{running ? `运行中 ${doneCount}/${selectedCount}…` : `运行因子测试(已选 ${selectedCount} 个)`}
</button> </button>
</div> </div>
{running && jobId && <div className="muted">任务 {jobId} 后台执行中,请稍候…</div>} {running && (
{error && <div className="error">{error}</div>} <div className="muted">
正在运行:{current?.name}({current?.idx}/{current?.total})—— 后台任务 {jobId},请稍候…
{report && (
<div style={{ marginTop: 16 }}>
<div className="stat-grid">
<div className="stat">
<div className="label">IC 均值</div>
<div className="value">{report.ic_mean.toFixed(4)}</div>
</div>
<div className="stat">
<div className="label">RankIC 均值</div>
<div className="value">{report.rank_ic_mean.toFixed(4)}</div>
</div>
<div className="stat">
<div className="label">ICIR</div>
<div className="value">{report.icir.toFixed(3)}</div>
</div>
<div className="stat">
<div className="label">正收益占比</div>
<div className="value">{report.positive_ratio_pct.toFixed(1)}%</div>
</div>
<div className="stat">
<div className="label">样本日数</div>
<div className="value">{report.sample_days}</div>
</div>
</div>
{report.quantile_returns.length > 0 && (
<table style={{ marginTop: 12 }}>
<thead>
<tr>
<th>分层(1 最低 → 5 最高)</th>
{report.quantile_returns.map((q) => (
<th key={q.quantile}>Q{q.quantile + 1}</th>
))}
</tr>
</thead>
<tbody>
<tr>
<td>未来 21 日平均收益</td>
{report.quantile_returns.map((q) => (
<td key={q.quantile}>{q.return_pct.toFixed(2)}%</td>
))}
</tr>
</tbody>
</table>
)}
</div> </div>
)} )}
{error && <div className="error" style={{ whiteSpace: "pre-line" }}>{error}</div>}
</div>
{Object.entries(reports).map(([name, report]) => {
const meta = factors.find((f) => f.name === name);
return (
<div className="card" key={name}>
<h2>
{name} · 测试报告
{meta?.brief ? (
<span className="muted" style={{ fontWeight: 400, fontSize: 13 }}>
{" "}— {meta.brief}
</span>
) : null}
</h2>
<ReportView report={report} />
</div>
);
})}
</>
);
}
function FactorRow(props: {
factor: FactorMeta;
checked: boolean;
expanded: boolean;
onToggleCheck: () => void;
onToggleExpand: () => void;
}) {
const { factor: f } = props;
return (
<>
<tr style={{ cursor: "pointer" }} onClick={props.onToggleExpand}>
<td onClick={(e) => { e.stopPropagation(); props.onToggleCheck(); }}>
<input type="checkbox" checked={props.checked} onChange={props.onToggleCheck} />
</td>
<td>{f.name}</td>
<td>{f.lookback}</td>
<td>{f.direction === "higher_is_better" ? "高为好" : "低为好"}</td>
<td>{f.brief ?? f.description}</td>
</tr>
{props.expanded && (
<tr>
<td colSpan={5}>
<div style={{ background: "var(--panel-2)", padding: 10, borderRadius: 6 }}>
<b>{f.name}</b> · {f.description}
<div className="muted" style={{ marginTop: 4 }}>
公式:{f.formula};回看 {f.lookback} 个交易日;频率 {f.frequency};
方向:{f.direction === "higher_is_better" ? "因子值越高得分越高" : "因子值越低得分越高(引擎自动反向)"}
</div>
<div style={{ marginTop: 6 }}>{f.brief}</div>
</div>
</td>
</tr>
)}
</>
);
}
function ReportView({ report }: { report: FactorTestReport }) {
return (
<>
<div className="stat-grid">
<div className="stat">
<div className="label">IC 均值</div>
<div className="value">{report.ic_mean.toFixed(4)}</div>
</div>
<div className="stat">
<div className="label">RankIC 均值</div>
<div className="value">{report.rank_ic_mean.toFixed(4)}</div>
</div>
<div className="stat">
<div className="label">ICIR</div>
<div className="value">{report.icir.toFixed(3)}</div>
</div>
<div className="stat">
<div className="label">正收益占比</div>
<div className="value">{report.positive_ratio_pct.toFixed(1)}%</div>
</div>
<div className="stat">
<div className="label">样本日数</div>
<div className="value">{report.sample_days}</div>
</div>
</div>
{report.quantile_returns.length > 0 && (
<table style={{ marginTop: 12 }}>
<thead>
<tr>
<th>分层(1 最低 → 5 最高)</th>
{report.quantile_returns.map((q) => (
<th key={q.quantile}>Q{q.quantile + 1}</th>
))}
</tr>
</thead>
<tbody>
<tr>
<td>未来 21 日平均收益</td>
{report.quantile_returns.map((q) => (
<td key={q.quantile}>{q.return_pct.toFixed(2)}%</td>
))}
</tr>
</tbody>
</table>
)}
<div className="muted" style={{ marginTop: 6 }}>
读数:IC/RankIC 为正表示与未来收益正相关;ICIR 越大越稳定;分层收益若高分层显著高于低分层说明单调性好。
单因子测试≠策略有效,需结合样本外与稳健性分析。
</div> </div>
</> </>
); );
+1
View File
@@ -16,6 +16,7 @@ export default function RootLayout({ children }: { children: React.ReactNode })
<Link href="/">总览</Link> <Link href="/">总览</Link>
<Link href="/stocks">股票池</Link> <Link href="/stocks">股票池</Link>
<Link href="/factors">因子研究</Link> <Link href="/factors">因子研究</Link>
<Link href="/factors/compose">因子组合</Link>
<Link href="/backtest">回测</Link> <Link href="/backtest">回测</Link>
<Link href="/experiments">实验</Link> <Link href="/experiments">实验</Link>
</nav> </nav>
+14
View File
@@ -0,0 +1,14 @@
/** 研究区间默认值:结束=当日,开始=往前推 6 个月(YYYY-MM-DD)。 */
export function isoDate(d: Date): string {
const m = String(d.getMonth() + 1).padStart(2, "0");
const day = String(d.getDate()).padStart(2, "0");
return `${d.getFullYear()}-${m}-${day}`;
}
export function recentRange(): { start: string; end: string } {
const end = new Date();
const start = new Date();
start.setMonth(start.getMonth() - 6);
return { start: isoDate(start), end: isoDate(end) };
}
+1
View File
@@ -13,6 +13,7 @@ export interface Stock {
export interface FactorMeta { export interface FactorMeta {
name: string; name: string;
description: string; description: string;
brief?: string;
formula: string; formula: string;
frequency: string; frequency: string;
lookback: number; lookback: number;