汇总三轮未提交的开发(每轮均在本机 MariaDB + 真实浏览器上验证):
1) 股息率案例(全市场股息率最高 n 只,默认 20,每 m 月择股)
- 新增日频估值表 daily_basic + 迁移;股息率因子(dv_ratio / dividend_yield / TTM)
- 名称历史表 stock_name_history:剔除 ST 按**择股日当时名称**判定,消除
「曾高股息后 ST」的股息陷阱(实测 3.70pp 偏差)
- 区间择股/调仓双周期(m 择股 / y 调仓)、指数成分与白名单、停牌近似剔除
- 复权因子口径核对(4,164,742 行、缺失 0.0%)、收盘价成交与涨跌停拦单
- 案例实测:2020-01-01~2026-09-04 总收益 +24.86%(年化 3.52%、回撤 -28.58%)
2) 策略库与前端统一
- strategy 表 + CRUD/PUT 原地更新 + `describe_strategy` 按 spec 真实推导
「一句话说明 + 计算公式 + 执行步骤 + 注意事项」(与引擎实执行规则同源)
- 任何出现股票代码处都成对显示名称且可点击进个股页
- 全站图表基座统一 TradingView Lightweight Charts(ECharts 依赖、
锁文件、组件与文档标注一并清除),买卖点标记只落在真实交易日上
3) 回测存档完整化(可往复查看)
- 同步端点(POST /api/backtests、/api/factor-tests)此前完全不落库 → 现在同样归档,
归档 id 经响应头 X-Experiment-Id 返回(不破坏 response_model)
- data_version 首次真实写入(数据快照指纹:最新交易日 + 各表规模)
- 个股收益曲线默认**全量保存**(此前硬截断 60 只);超出体积预算才裁剪,
并写 archive_meta(机器可读)+ unimplemented(人可读)如实标注
- 列表 kind/q 过滤 + X-Total-Count(此前 limit=50 静默截断)、DELETE 归档
- 只读归档页 /experiments/{id}(Server Component,SSR 直出**选股条件**与
**交易执行依据**);结果视图按 kind 分发(backtest/factor_test/selection),
非回测归档不套用回测口径
- 新增 CLI:prune_experiments(保留策略,默认 dry-run)、
restore_experiment_from_job(从 Job 副本按原 id 重建被删的历史归档,默认 dry-run)
门禁:pytest 388 passed、ruff All checks passed、tsc 0 错误、图表单测 7 passed、
next build 成功、契约脚本 verify_strategy_workspace 59/59(含按 kind 逐类验证归档页)。
610 lines
24 KiB
TypeScript
610 lines
24 KiB
TypeScript
/**
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* 归档详情页(`/experiments/{id}`)—— 「往复查看」的落点。
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*
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* 为什么单独一页,而不复用回测页:
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* 回测页是**可编辑参数**的工作台,从它看归档会被误认为「当前参数就是归档参数」;
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* 归档需要的是一个**只读、口径固定、可分享**的视图:URL 即快照地址,刷新/换设备都能看,
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* 且必须明确回答两个问题 ——
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* ① **选股条件**:这次回测到底按什么规则选股(因子/权重/条件/股票池/两级截断/周期/补位)
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* ② **交易执行依据**:成交时点、价格口径、成本、涨跌停与停牌怎么处理、期末是否平仓
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* 这两块来自归档里存的 **spec(复现依据)**,不来自当前页面状态,因此永不漂移;
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* 同时用后端 `describe_strategy`(与引擎实执行规则同源)生成完整说明与计算公式。
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*
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* 结果区交给 `ArchiveResultView` 按归档 `kind` 分发(backtest/factor_test/selection 结构不同,
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* 不能假定回测字段)——回测归档与刚跑完时看到的**完全同一套图表与表格**,
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* 避免「归档里少一张图」的隐性不一致。
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*
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* **这里是 Server Component**:归档是只读内容,选股条件/执行依据/元数据必须在
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* 服务端直出(否则不带 JS 的抓取与链接预览拿到的只是一个 Loading 骨架——
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* 实测 SSR HTML 里搜不到「选股条件」)。图表与删除/导出等交互由客户端子组件承担。
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*/
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import { notFound } from "next/navigation";
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import Link from "next/link";
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import { ArchiveActions } from "@/components/ArchiveActions";
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import { StrategyDocCard } from "@/components/StrategyDocCard";
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import { ArchiveResultView } from "@/components/ArchiveResultView";
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import { archivedFieldSummary } from "@/lib/archive";
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import { PageHeader, Card, Pill, Empty, Banner } from "@/components/ui";
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import { adjustLabel, experimentKindLabel, rebalanceLabel } from "@/lib/labels";
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import { RichText } from "@/components/RichText";
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import type { ExperimentDetail, FactorMeta, ResearchCondition, ResearchSpec, StrategyDoc } from "@/lib/types";
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export const dynamic = "force-dynamic"; // 归档可能被删除/新增,禁止静态化缓存
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/** 服务端访问后端:与 next.config.ts 的代理同一默认地址(服务端没有「同源」可用) */
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const BACKEND = (process.env.BACKEND_API_URL ?? "http://127.0.0.1:8000").replace(/\/$/, "");
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async function serverGet<T>(path: string): Promise<T | null> {
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try {
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const r = await fetch(`${BACKEND}/api${path}`, { cache: "no-store" });
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if (!r.ok) return null;
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return (await r.json()) as T;
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} catch {
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return null;
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}
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}
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async function serverPost<T>(path: string, body: unknown): Promise<T | null> {
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try {
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const r = await fetch(`${BACKEND}/api${path}`, {
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method: "POST",
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headers: { "Content-Type": "application/json" },
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body: JSON.stringify(body),
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cache: "no-store",
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});
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if (!r.ok) return null;
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return (await r.json()) as T;
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} catch {
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return null;
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}
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}
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export default async function ExperimentArchivePage({
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params,
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}: {
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params: Promise<{ id: string }>;
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}) {
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const { id: rawId } = await params;
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const id = decodeURIComponent(rawId ?? "");
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const [detail, factors] = await Promise.all([
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serverGet<ExperimentDetail>(`/experiments/${encodeURIComponent(id)}`),
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serverGet<FactorMeta[]>("/factors"),
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]);
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// 归档不存在 → 交给 Next 的 404(比渲染一个空壳页更诚实)
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if (!detail) notFound();
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const spec = (detail.spec ?? null) as Partial<ResearchSpec> | null;
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const result = detail.result;
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// 关键字段计数按 kind 给不同口径(用回测字段去数因子/选股结果是错的)
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const fieldSummary = archivedFieldSummary(detail.kind, result);
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// 与引擎执行规则同源的说明(后端按归档 spec 推导;推导失败时如实显示错误)
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// 只有回测归档才需要「完整说明与计算公式」:describe 推导的是回测策略口径,
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// 因子测试/选股用同一 spec 结构但规则并未执行,拉回来展示等于误导(且白花一次请求)。
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const doc = spec && detail.kind === "backtest"
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? await serverPost<StrategyDoc & { doc?: StrategyDoc }>("/strategies/describe", spec)
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: null;
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const docBody = doc ? ((doc as { doc?: StrategyDoc }).doc ?? doc) : null;
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return (
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<>
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<PageHeader
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title={`归档 ${detail.id}`}
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sub={`${experimentKindLabel(detail.kind)} · ${detail.summary_text ?? "无摘要"}`}
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/>
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<ArchiveActions id={detail.id} spec={detail.spec} />
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<ArchivedSpecCards detail={detail} spec={spec} factors={factors ?? []} />
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{detail.kind === "backtest" ? (
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<StrategyDocCard
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doc={docBody}
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loading={false}
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error={spec && !docBody ? "后端未能给出该 spec 的说明(describe 接口失败)" : ""}
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title="完整说明与计算公式(后端按归档 spec 推导,与引擎执行规则同源)"
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/>
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) : null}
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<Card icon="archive" title="归档元数据(复现依据)">
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<div className="kv-grid">
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<KV label="实验 ID" value={detail.id} mono />
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<KV label="类型" value={experimentKindLabel(detail.kind)} />
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<KV label="归档时间" value={fmtTime(detail.created_at)} mono />
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<KV label="代码版本" value={detail.code_version ?? "—"} mono />
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<KV
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label="数据版本"
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value={detail.data_version ?? "未记录(该归档早于数据指纹上线)"}
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mono
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warn={!detail.data_version}
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/>
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<KV label="来源作业" value={detail.job_id ?? "同步接口调用(无作业 id)"} mono />
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<KV
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label="归档体积"
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value={detail.result_bytes ? `${(detail.result_bytes / 1024).toFixed(0)} KB` : "—"}
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/>
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<KV
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label="区间"
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value={detail.period ? `${detail.period[0]} ~ ${detail.period[1]}` : "—"}
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mono
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/>
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</div>
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<div className="hint" style={{ marginTop: 10 }}>
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<RichText text="数据版本由后端在归档时写入(数据快照指纹):**同样的代码版本 + 同样的数据版本 + 同样的 spec,才应当复现出同样的结果**。若数据版本显示「未记录」,说明该归档产生于指纹上线之前 —— 此时不要把它当作可严格复现的依据。" />
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</div>
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<div className="row" style={{ marginTop: 10, gap: 8 }}>
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{fieldSummary ? <span className="hint">{fieldSummary}</span> : null}
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</div>
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</Card>
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{result ? (
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<ArchiveResultView
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kind={detail.kind}
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result={result}
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archive={{
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id: detail.id,
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created_at: detail.created_at,
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code_version: detail.code_version,
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data_version: detail.data_version,
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job_id: detail.job_id,
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}}
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/>
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) : (
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<Card>
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<Empty
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icon="archive"
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title="该归档没有可展示的结果"
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hint={
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detail.kind === "factor_test"
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? "因子测试归档没有净值曲线(结果结构不同);结果为空时只能导出 JSON 查看原始内容。"
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: "结果为空(可能是历史版本归档)。可用上方「导出完整 JSON」查看原始内容。"
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}
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/>
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</Card>
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)}
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</>
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);
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}
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/* ------------------------------------------------------------------ */
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function KV({
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label,
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value,
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mono,
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warn,
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}: {
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label: string;
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value: string;
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mono?: boolean;
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warn?: boolean;
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}) {
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return (
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<div className="kv">
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<span className="kv__k">{label}</span>
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<span className={`kv__v${mono ? " mono" : ""}${warn ? " kv__v--warn" : ""}`}>{value}</span>
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</div>
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);
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}
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function fmtTime(v?: string | null): string {
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if (!v) return "—";
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const d = new Date(v);
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if (Number.isNaN(d.getTime())) return v;
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const p = (n: number) => String(n).padStart(2, "0");
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return `${d.getFullYear()}-${p(d.getMonth() + 1)}-${p(d.getDate())} ${p(d.getHours())}:${p(d.getMinutes())}`;
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}
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function directionText(name: string, factors: FactorMeta[]): string {
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const f = factors.find((x) => x.name === name);
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if (!f) return "—";
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return f.direction === "lower_is_better" ? "越低越好" : "越高越好";
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}
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function opText(op?: string): string {
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switch (op) {
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case "gt":
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return ">";
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case "gte":
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return "≥";
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case "lt":
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return "<";
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case "lte":
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return "≤";
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case "eq":
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return "=";
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case "ne":
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return "≠";
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case "in":
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return "∈";
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case "not_in":
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return "∉";
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default:
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return op ?? "?";
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}
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}
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function condText(c: ResearchCondition): string {
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const right = c.ref ? `(字段 ${c.ref})` : `${c.value ?? ""}`;
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return `${c.field} ${opText(c.op)} ${right}`;
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}
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/**
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* 因子测试归档的 spec 卡:只展示**真正生效**的字段。
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*
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* 诚实性要点(AGENT §7/§24):因子测试按横截面算 IC / RankIC / 分层收益,
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* **不做两级截断、不下单、不计成本**。但归档 spec 沿用了与回测相同的请求结构
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* (含 `selection` / `costs` / `initial_capital`)—— 把这些字段按回测口径展示,
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* 会让人以为这次跑过调仓与撮合。所以这里只列生效项,并显式说明哪些字段未生效。
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*/
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function FactorTestSpecCards({
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spec,
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factors,
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}: {
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spec: Partial<ResearchSpec>;
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factors: FactorMeta[];
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}) {
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const uni = (spec.universe ?? {}) as Record<string, unknown>;
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const factorList = (spec.factors ?? []) as { name: string; weight: number }[];
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const period = spec.period ?? [];
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return (
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<>
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<Card
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icon="flask"
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title="因子测试配置(本次实际生效的字段)"
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tools={<Pill tone="violet">来自归档 spec,非当前页面参数</Pill>}
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>
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<div className="spec-grid">
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<SpecBlock title="被测因子(横截面 z-score 加权)">
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{factorList.length === 0 ? (
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<SpecRow k="因子" v="—" />
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) : (
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factorList.map((f) => (
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<SpecRow
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key={f.name}
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k={f.name}
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v={`权重 ${f.weight} ${directionText(f.name, factors)}`}
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/>
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))
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)}
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</SpecBlock>
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<SpecBlock title="横截面范围(universe)">
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<SpecRow k="市场" v={String(uni.market ?? "CN_A")} />
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<SpecRow k="剔除 ST" v={uni.exclude_st ? "是(按当时名称判定)" : "否"} />
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<SpecRow
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k="剔除停牌"
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v={uni.exclude_suspended ? "是(近似:当日无行情)" : "否"}
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/>
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<SpecRow
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k="上市天数下限"
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v={uni.min_listing_days ? `${String(uni.min_listing_days)} 天` : "无限制"}
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/>
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</SpecBlock>
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<SpecBlock title="测试区间">
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<SpecRow
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k="区间"
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v={period.length === 2 ? `${period[0]} ~ ${period[1]}` : "—"}
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mono
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/>
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</SpecBlock>
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</div>
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<div className="hint" style={{ marginTop: 10 }}>
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<RichText text="本次归档类型是**因子测试**:按横截面计算 IC / RankIC / 分层收益,**不做两级截断(n→x)、不下单、不计交易成本**。归档 spec 里沿用了与回测相同的请求结构(`selection` / `costs` / `initial_capital` 等),但这些字段本次**未生效** —— 不要把它们当作执行依据。" />
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</div>
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</Card>
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</>
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);
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}
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/**
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* 选股归档的 spec 卡:一次性选股的规则(无调仓、无成交)。
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*/
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function SelectionSpecCards({
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spec,
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factors,
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}: {
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spec: Partial<ResearchSpec>;
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factors: FactorMeta[];
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}) {
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const uni = (spec.universe ?? {}) as Record<string, unknown>;
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const factorList = (spec.factors ?? []) as { name: string; weight: number }[];
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const conds = ((spec as Record<string, unknown>).conditions ?? []) as ResearchCondition[];
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const method = String((spec as Record<string, unknown>).method ?? "score");
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const topN = (spec as Record<string, unknown>).top_n;
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const topPct = (spec as Record<string, unknown>).top_pct;
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return (
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<Card
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icon="target"
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title="选股条件(本次一次性选股实际使用的规则)"
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tools={<Pill tone="violet">来自归档 spec,非当前页面参数</Pill>}
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>
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<div className="spec-grid">
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<SpecBlock title="时点与方式">
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<SpecRow
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k="选股时点"
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v={String((spec as Record<string, unknown>).as_of ?? "最近交易日")}
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mono
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/>
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<SpecRow k="方式" v={method === "condition" ? "条件筛选" : "因子评分"} />
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<SpecRow
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k="复权口径"
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v={spec.price_adjustment === "hfq" ? "后复权(hfq)" : "不复权(none)"}
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/>
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</SpecBlock>
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<SpecBlock title={method === "condition" ? "筛选条件(AND)" : "打分因子(横截面 z-score 加权)"}>
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{method === "condition"
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? conds.length === 0
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? <SpecRow k="条件" v="—" />
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: conds.map((c) => <SpecRow key={condText(c)} k={c.field} v={condText(c)} />)
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: factorList.length === 0
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? <SpecRow k="因子" v="—" />
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: factorList.map((f) => (
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<SpecRow
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key={f.name}
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k={f.name}
|
||
v={`权重 ${f.weight} ${directionText(f.name, factors)}`}
|
||
/>
|
||
))}
|
||
</SpecBlock>
|
||
<SpecBlock title="股票池与选出数量">
|
||
<SpecRow k="市场" v={String(uni.market ?? "CN_A")} />
|
||
<SpecRow k="剔除 ST" v={uni.exclude_st ? "是(按当时名称判定)" : "否"} />
|
||
<SpecRow
|
||
k="剔除停牌"
|
||
v={uni.exclude_suspended ? "是(近似:当日无行情)" : "否"}
|
||
/>
|
||
<SpecRow
|
||
k="选出数量"
|
||
v={
|
||
topN
|
||
? `Top ${String(topN)}`
|
||
: topPct
|
||
? `前 ${String(topPct)}%`
|
||
: "—"
|
||
}
|
||
/>
|
||
</SpecBlock>
|
||
</div>
|
||
<div className="hint" style={{ marginTop: 10 }}>
|
||
<RichText text="本次归档类型是**一次性选股**:只在上述**单个交易日**求值一次,**没有调仓周期、没有成交与成本**(不会买卖任何东西)。归档 spec 里若出现 `costs` / `rebalance`,那只是同一请求结构的字段,本次未生效。" />
|
||
</div>
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
/** 选股条件 + 交易执行依据:直接用归档 spec 渲染,回答「这次回测到底怎么选的、怎么成交的」 */
|
||
function ArchivedSpecCards({
|
||
detail,
|
||
spec,
|
||
factors,
|
||
}: {
|
||
detail: ExperimentDetail;
|
||
spec: Partial<ResearchSpec> | null;
|
||
factors: FactorMeta[];
|
||
}) {
|
||
if (!spec) {
|
||
return (
|
||
<Card icon="book" title="选股条件与交易执行依据">
|
||
<div className="hint">
|
||
该归档没有存储 spec(早于 spec 归档上线),无法回溯当时的规则;只能看下方结果。
|
||
</div>
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
// 按归档类型分发:**只有回测**才有「选股条件 + 交易执行依据」这一对。
|
||
// 因子测试/选股与回测共用同一请求结构(spec 里也有 selection/costs/initial_capital),
|
||
// 但那些字段在因子测试/选股里**从未生效** —— 沿用回测口径展示等于谎报执行依据。
|
||
if (detail.kind === "factor_test") {
|
||
return <FactorTestSpecCards spec={spec} factors={factors} />;
|
||
}
|
||
if (detail.kind === "selection") {
|
||
return <SelectionSpecCards spec={spec} factors={factors} />;
|
||
}
|
||
if (detail.kind !== "backtest") {
|
||
return (
|
||
<Card icon="book" title={`归档 spec(类型:${detail.kind})`}>
|
||
<div className="hint">
|
||
<RichText text="该类型的 spec 展示口径尚未定义,这里**不猜测**它的含义;原始 spec 可用上方「查看原始 spec(JSON)」逐字查看。" />
|
||
</div>
|
||
</Card>
|
||
);
|
||
}
|
||
|
||
const uni = (spec.universe ?? {}) as Record<string, unknown>;
|
||
const sel = (spec.selection ?? {}) as Record<string, unknown>;
|
||
const costs = (spec.costs ?? {}) as Record<string, unknown>;
|
||
const conds = (spec.conditions ?? []) as ResearchCondition[];
|
||
const factorList = (spec.factors ?? []) as { name: string; weight: number }[];
|
||
const fillPolicy =
|
||
sel.defer_buy === true
|
||
? "顺延买入(等它到之后首个不涨停的交易日按收盘价买)"
|
||
: sel.allow_substitute === false
|
||
? "不补位(买不进就空着,实际持仓可能少于目标数)"
|
||
: "替补买入(从候选池之外按复合分往下找可买标的)";
|
||
|
||
return (
|
||
<>
|
||
<Card
|
||
icon="target"
|
||
title="选股条件(本次回测实际使用的规则)"
|
||
tools={<Pill tone="violet">来自归档 spec,非当前页面参数</Pill>}
|
||
>
|
||
<div className="spec-grid">
|
||
<SpecBlock title="股票池(universe)">
|
||
<SpecRow k="市场" v={String(uni.market ?? "CN_A")} />
|
||
<SpecRow
|
||
k="剔除 ST"
|
||
v={uni.exclude_st ? "是(按择股日**当时名称**判定)" : "否"}
|
||
/>
|
||
<SpecRow
|
||
k="上市天数下限"
|
||
v={uni.min_listing_days ? `${uni.min_listing_days} 个自然日` : "无限制"}
|
||
/>
|
||
<SpecRow k="指数成分" v={uni.index_code ? String(uni.index_code) : "不限定"} />
|
||
<SpecRow
|
||
k="白名单"
|
||
v={
|
||
Array.isArray(uni.symbols) && uni.symbols.length
|
||
? `${uni.symbols.length} 只`
|
||
: "全市场"
|
||
}
|
||
/>
|
||
<SpecRow k="剔除停牌" v={uni.exclude_suspended ? "是(近似:当日无行情)" : "否"} />
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="打分因子(横截面 z-score 加权)">
|
||
{factorList.length === 0 ? (
|
||
<div className="hint">无(纯条件选股)</div>
|
||
) : (
|
||
factorList.map((f) => (
|
||
<SpecRow
|
||
key={f.name}
|
||
k={`${f.name} 权重 ${f.weight}`}
|
||
v={directionText(f.name, factors)}
|
||
mono
|
||
/>
|
||
))
|
||
)}
|
||
<div className="hint" style={{ marginTop: 6 }}>
|
||
复合分 = Σ(权重 × 方向 × 当日截面 z-score),降序取候选池。
|
||
</div>
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="过滤条件(AND,逐择股日求值)">
|
||
{conds.length === 0 ? (
|
||
<div className="hint">无附加条件</div>
|
||
) : (
|
||
conds.map((c, i) => <SpecRow key={`${c.field}-${i}`} k={`条件 ${i + 1}`} v={condText(c)} mono />)
|
||
)}
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="两级截断与周期">
|
||
<SpecRow k="候选池 n" v={sel.top_n != null ? `${sel.top_n} 只` : "—"} />
|
||
<SpecRow
|
||
k="实际持仓 x"
|
||
v={
|
||
sel.hold_top_x != null && sel.hold_top_x !== sel.top_n
|
||
? `${sel.hold_top_x} 只`
|
||
: `= n${sel.top_n != null ? `(${sel.top_n} 只)` : ""}`
|
||
}
|
||
/>
|
||
<SpecRow
|
||
k="择股周期 m"
|
||
v={
|
||
spec.selection_interval_months
|
||
? `每 ${spec.selection_interval_months} 个月重新择股`
|
||
: "每次调仓都重新择股"
|
||
}
|
||
/>
|
||
<SpecRow
|
||
k="调仓周期 y"
|
||
v={
|
||
spec.rebalance_interval_months
|
||
? `每 ${spec.rebalance_interval_months} 个月调仓`
|
||
: `跟随调仓频率(${rebalanceLabel(spec.rebalance)})`
|
||
}
|
||
/>
|
||
<SpecRow k="买不进时" v={fillPolicy} />
|
||
<SpecRow k="资金分配" v="等权(可用现金 / 目标持仓数)" />
|
||
</SpecBlock>
|
||
</div>
|
||
</Card>
|
||
|
||
<Card icon="scale" title="交易执行依据(撮合价 / 成本 / 约束)">
|
||
<div className="spec-grid">
|
||
<SpecBlock title="成交口径">
|
||
<SpecRow k="价格口径" v={adjustLabel(spec.price_adjustment as string)} />
|
||
<SpecRow k="成交时点" v="调仓日**收盘**(调仓在当日收盘生效,自次日起计收益)" />
|
||
<SpecRow
|
||
k="买入价"
|
||
v={`收盘价 × (1 + 滑点 ${pct(costs.slippage_rate)})`}
|
||
/>
|
||
<SpecRow
|
||
k="卖出价"
|
||
v={`收盘价 × (1 − 滑点 ${pct(costs.slippage_rate)})`}
|
||
/>
|
||
<SpecRow k="回测区间" v={detail.period ? `${detail.period[0]} ~ ${detail.period[1]}` : "—"} mono />
|
||
<SpecRow
|
||
k="初始资金"
|
||
v={
|
||
spec.initial_capital != null
|
||
? `${Number(spec.initial_capital).toLocaleString("zh-CN")} 元`
|
||
: "—"
|
||
}
|
||
/>
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="成本">
|
||
<SpecRow k="佣金" v={`${pct(costs.commission_rate)}(买入与卖出各计一次)`} />
|
||
<SpecRow k="印花税" v={`${pct(costs.stamp_tax_rate)}(仅卖出)`} />
|
||
<SpecRow k="滑点" v={pct(costs.slippage_rate)} />
|
||
<SpecRow
|
||
k="最低佣金"
|
||
v={
|
||
Number(costs.min_commission ?? 0) > 0
|
||
? `${costs.min_commission} 元/笔(max(按比例, 最低))`
|
||
: "未启用(0)"
|
||
}
|
||
/>
|
||
<SpecRow
|
||
k="对照基准"
|
||
v={String(costs.benchmark ?? "000300.SH") + "(仅展示,不参与交易)"}
|
||
/>
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="成交约束(近似建模)">
|
||
<SpecRow k="涨停" v="收盘价 / 上一有效收盘 ≥ 板块涨停系数 → 不可买入" />
|
||
<SpecRow k="跌停" v="→ 不可卖出(持仓保留到下一次调仓)" />
|
||
<SpecRow k="停牌" v="当日无行情 → 不可买不可卖" />
|
||
<SpecRow k="顺延买入" v={sel.defer_buy ? "启用(到下次调仓仍未成交则作废,资金留作现金)" : "未启用"} />
|
||
<SpecRow k="期末平仓" v="否 —— 最后持仓按最后交易日收盘估值,浮盈浮亏计入净值但不产生 Trade 记录" />
|
||
</SpecBlock>
|
||
|
||
<SpecBlock title="复现提示">
|
||
<div className="hint">
|
||
① 同样的 spec + 同样的代码版本 + 同样的数据版本才应复现同样结果;
|
||
② 复权口径为 {adjustLabel(spec.price_adjustment as string)},
|
||
{spec.price_adjustment === "none"
|
||
? "现金分红未计入收益、除权日价格下移会记为亏损 —— 股息类策略建议用 hfq 重跑对比。"
|
||
: "分红按复权因子隐含再投资处理。"}
|
||
③ 未建模项(涨跌停开盘路径、停牌明细、流动性冲击等)写在该归档结果的
|
||
<RichText text="`unimplemented`" /> 列表里,下方结果区已如实展示。
|
||
</div>
|
||
</SpecBlock>
|
||
</div>
|
||
{detail.kind !== "backtest" ? (
|
||
<div className="hint" style={{ marginTop: 10 }}>
|
||
该归档类型为「{experimentKindLabel(detail.kind)}」,其 spec 中的择股/调仓/成本字段不参与计算。
|
||
</div>
|
||
) : null}
|
||
</Card>
|
||
</>
|
||
);
|
||
}
|
||
|
||
function SpecBlock({ title, children }: { title: string; children: React.ReactNode }) {
|
||
return (
|
||
<div className="spec-block">
|
||
<div className="spec-block__title">{title}</div>
|
||
{children}
|
||
</div>
|
||
);
|
||
}
|
||
|
||
function SpecRow({ k, v, mono }: { k: string; v: string; mono?: boolean }) {
|
||
return (
|
||
<div className="spec-row">
|
||
<span className="spec-row__k">{k}</span>
|
||
<span className={`spec-row__v${mono ? " mono" : ""}`}>
|
||
<RichText text={v} />
|
||
</span>
|
||
</div>
|
||
);
|
||
}
|
||
|
||
function pct(v: unknown): string {
|
||
const n = Number(v);
|
||
if (!Number.isFinite(n)) return "未记录";
|
||
return `${(n * 100).toFixed(3).replace(/0+$/, "").replace(/\.$/, "")}%`;
|
||
} |