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feat: 盘面洞察第四批 — 板块相关性热力图 + 异动雷达 + 量能仪表盘
- 相关性 /hotspots 页内新增「相关性」视图:/board-mac/hotspot-correlation 复用热点历史矩阵缓存,对窗口内活跃板块(每日前 per_day 名并集,按上榜次数 取前 N)两两算日涨跌幅 Pearson 相关;红=同涨同跌(抱团)、绿=跷跷板(轮动), ECharts 热力图 + 双向色阶 visualMap;无缓存时透传 building 状态 - 异动雷达 /radar:沪深异动流时间线(封板/炸板/大笔买入/逼近涨停…), 每分钟异动密度柱 + 类型筛选 chips(带计数),行点击直达个股弹窗,15s 轮询 - 量能仪表盘并入市场情绪页:两市(上证+深成 5 分钟线)累计成交额曲线 vs 近 5 日同期均值(虚线),标题给出偏离百分比——放量/缩量一眼可辨 - 热点缓存判定重构为 _hotspot_history_or_build 公共入口,correlation 与 hotspot 共用同一构建状态机;新增相关性矩阵回归单测
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@@ -12,6 +12,7 @@ import type {
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CcpmProductsResponse,
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CcpmRankResponse,
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DataFrameResponse,
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HotspotCorrelationResp,
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HotspotResp,
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LimitUpEcologyResp,
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LimitUpHistoryRow,
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@@ -847,6 +848,23 @@ export async function fetchLimitUpEcology(): Promise<LimitUpEcologyResp> {
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return body.data
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}
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/** 热点板块相关性矩阵(复用热点历史缓存;未构建时返回 building/error)。 */
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export async function fetchHotspotCorrelation(
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boardType: string,
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days: number,
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perDay = 5,
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): Promise<HotspotCorrelationResp> {
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const params = new URLSearchParams({
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board_type: boardType,
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days: String(days),
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per_day: String(perDay),
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})
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const resp = await fetch(`${BASE}/board-mac/hotspot-correlation?${params}`)
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if (!resp.ok) await throwError(resp)
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const body = (await resp.json()) as { data: HotspotCorrelationResp }
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return body.data
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}
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/** 当日情绪分钟曲线(采样器逐分钟落库;date=0 表示尚无采样)。 */
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export async function fetchSentimentToday(): Promise<SentimentTodayResp> {
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const resp = await fetch(`${BASE}/market/sentiment/today`)
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