Spread Dashboard

捕捉异常价差，一秒定位偏离源头

🧭 简介
价差检测器是一款“多交易源报价对比 + 价差强弱量化”的监控工具：自动汇总同一标的在多个交易所/经纪商的报价，计算当前价差在历史分布中的百分位位置，帮你快速判断“这次拉开到底是不是异常”。右上角看板用于横向对比各交易源报价；副图柱状图用于观察价差强弱与分级结果。

✨ 亮点

- 📊 一眼识别异常价差 ：副图柱状图直观展示价差大小，并用百分位阈值标记“正常 / 偏高 / 异常”。
- 🧾 看板聚焦关键信息 ：右上角表格汇总各交易源最新价、均价；价格列采用以 0 为中心的红绿发散渐变，偏离方向与幅度一眼看懂。
- ⚠️ 成交量不误导 ：最新量/均量明确标注“单位不统一”，不参与排序；最新量仅做“本交易源内部：最新量 vs 均量”的放量/缩量提示，避免跨交易源错误比较。
✅ 使用方法（只看副图 + 右上角看板）

- 📉 副图怎么读 ：柱子越高＝价差越大；当柱子达到你设置的“偏高/异常”阈值，说明价差处于历史高位，值得重点关注。
- 🟩🟥 看板怎么读 ：先看“最新价/均价”列颜色：偏绿＝该交易源报价高于图表标的，偏红＝低于图表标的；颜色越深代表偏离越大。
- 🔊 成交量怎么读 ：只看同一行的放量/缩量提示（单位不统一，不做交易所之间的量大小比较）。

🧭 Overview
Spread Detector is a multi-venue pricing monitor that helps you spot abnormal cross-exchange / broker spreads at a glance. It aggregates quotes for the same symbol from multiple sources and ranks the current spread within its historical distribution (percentile). You get a clean dashboard in the top-right and a spread histogram in the sub-chart for fast decision-making.

✨ Highlights
- 📊 Percentile-based spread grading : quickly labels the current spread as Normal / High / Unusual based on your thresholds.
- 🧾 Top-right dashboard for rapid comparison : shows each venue’s Last Price & Avg Price; price cells use a 0-centered red/green diverging gradient to visualize deviation vs the chart symbol.
- 🔊 Volume without misconceptions : Last Volume / Avg Volume are explicitly “NOT unit-unified” (different venues may use different volume definitions). Volume is not sortable . The Last Volume cell only reflects each venue’s own last-vs-average activity (volume expansion/contraction), not cross-venue size comparison.

✅ How to Read (Sub-chart + Top-right Dashboard)
- 📉 Sub-chart (histogram) : taller bars = wider spread. When it reaches your High/Unusual percentile thresholds, it signals the spread is historically elevated.
- 🟩🟥 Dashboard prices : green = that venue’s price is above the chart symbol, red = below; darker = larger deviation.
- 🔥 Dashboard volume : use it within the same row only (last vs avg for that venue). Do not compare volume numbers across venues due to unit differences.