术语统一：合约/市场/交易 → 阈值/信号/实况路径/多模型预测

frontend/app/layout.tsx

@@ -20,7 +20,7 @@ const jetbrainsMono = JetBrains_Mono({
 export const metadata: Metadata = {
   title: "PolyWeather | Weather Intelligence",
   description:
-    "PolyWeather paid professional terminal for weather-market intelligence, city decision cards, and subscription-only analytics.",
+    "PolyWeather paid professional terminal for weather-signal intelligence, city decision cards, and subscription-only analytics.",
   manifest: "/site.webmanifest",
   icons: {
     icon: [

frontend/app/page.tsx

@@ -3,9 +3,9 @@ import { redirect } from "next/navigation";
 import { InstitutionalLandingPage } from "@/components/landing/InstitutionalLandingPage";
 
 export const metadata: Metadata = {
-  title: "PolyWeather | Institutional Weather Market Intelligence",
+  title: "PolyWeather | Institutional Weather Signal Intelligence",
   description:
-    "PolyWeather is a paid professional weather-market intelligence terminal with METAR evidence, DEB forecast blending, and AI decision cards.",
+    "PolyWeather is a paid professional weather-signal intelligence terminal with METAR evidence, DEB forecast blending, and AI decision cards.",
 };
 
 export default async function HomePage({

frontend/app/terminal/page.tsx

@@ -4,7 +4,7 @@ import { ScanTerminalDashboard } from "@/components/dashboard/ScanTerminalDashbo
 export const metadata: Metadata = {
   title: "PolyWeather Terminal | Paid Product",
   description:
-    "Paid PolyWeather decision terminal for weather-market analysis and city decision cards.",
+    "Paid PolyWeather decision terminal for weather-signal analysis and city decision cards.",
 };
 
 export default function TerminalPage() {

frontend/components/auth/LoginClient.tsx

@@ -105,8 +105,8 @@ export function LoginClient({ nextPath, initialMode }: LoginClientProps) {
       ? "By proceeding, you agree to the Privacy Policy and Terms & Conditions."
       : "继续操作即代表您同意隐私政策与服务条款。",
     desc: isEn
-      ? "Access robust METAR observations, advanced DEB forecast blends, and real-time AI decision cards that bring clarity to your weather-market portfolios."
+      ? "Access robust METAR observations, advanced DEB forecast blends, and real-time AI decision cards that bring clarity to your weather-signal portfolios."
-      : "提供精准的机场 METAR 实况、先进的 DEB 智能融合预测和实时 AI 决策卡片，助您看清天气市场脉络。",
+      : "提供精准的机场 METAR 实况、先进的 DEB 智能融合预测和实时 AI 决策卡片，助您看清天气信号脉络。",
     trusted: isEn ? "Trusted by institutional traders" : "深受机构交易员信赖",
   } as const;
 

frontend/components/dashboard/ScanTerminalDashboard.tsx

@@ -82,18 +82,18 @@ function createLocalAccess(): ProAccessState {
 
 
 const TERM = {
-  cityContract: { en: "City / Contract", zh: "城市 / 合约" },
+  cityThreshold: { en: "City / Threshold", zh: "城市 / 阈值" },
   live: { en: "Live", zh: "实测" },
   deb: { en: "DEB", zh: "DEB" },
-  mkt: { en: "Mkt", zh: "市场" },
+  mkt: { en: "Mkt", zh: "信号" },
   edge: { en: "Edge", zh: "优势" },
   liq: { en: "Liq", zh: "流动性" },
   signal: { en: "Signal", zh: "信号" },
-  searchPlaceholder: { en: "Search city, contract, station, or signal", zh: "搜索城市、合约、站点或信号" },
+  searchPlaceholder: { en: "Search city, threshold, station, or signal", zh: "搜索城市、阈值、站点或信号" },
-  weatherContracts: { en: "Weather Contracts", zh: "天气合约" },
+  weatherThresholds: { en: "Weather Thresholds", zh: "天气阈值" },
-  selectedContractMonitor: { en: "Selected Contract Monitor", zh: "选中合约监控" },
+  selectedThresholdMonitor: { en: "Selected Threshold Monitor", zh: "选中阈值监控" },
   probabilityDistribution: { en: "Probability Distribution", zh: "概率分布" },
-  marketList: { en: "Market List", zh: "市场列表" },
+  signalList: { en: "Signal List", zh: "信号列表" },
   watchlist: { en: "Watchlist", zh: "观察列表" },
   rows: { en: "Rows", zh: "行数" },
   avgEdge: { en: "Avg Edge", zh: "平均优势" },
@@ -103,9 +103,9 @@ const TERM = {
   model: { en: "Model", zh: "模型" },
   noData: { en: "No data", zh: "无数据" },
   noDistributionData: { en: "No distribution data", zh: "无分布数据" },
-  selectContract: {
+  selectThreshold: {
-    en: "Select a weather contract to inspect model edge, market price, and live evidence.",
+    en: "Select a weather threshold to inspect model edge, signal price, and live evidence.",
-    zh: "选择天气合约以查看模型优势、市场价格和实况证据。",
+    zh: "选择天气阈值以查看模型优势、信号价格和实况证据。",
   },
   signInToContinue: { en: "Sign in to continue", zh: "请先登录" },
   signInHint: {
@@ -117,8 +117,8 @@ const TERM = {
   learnAbout: { en: "Learn about PolyWeather", zh: "了解 PolyWeather" },
   proAccessRequired: { en: "Pro Access Required", zh: "需要付费订阅" },
   proDesc: {
-    en: "The PolyWeather terminal is a paid product. Subscribe to unlock real-time weather-market intelligence.",
+    en: "The PolyWeather terminal is a paid product. Subscribe to unlock real-time weather-signal intelligence.",
-    zh: "PolyWeather 决策台为付费产品。订阅以解锁实时天气市场情报。",
+    zh: "PolyWeather 决策台为付费产品。订阅以解锁实时天气信号情报。",
   },
   subscriptionTerms: {
     en: "Billed monthly. Cancel anytime. Payment via USDC on Polygon.",
@@ -131,7 +131,7 @@ const TERM = {
     zh: "你需要开通有效订阅才能访问决策台。",
   },
   backToProduct: { en: "Back to product overview", zh: "返回产品介绍页" },
-  dashboard: { en: "PolyWeather Terminal", zh: "PolyWeather 交易决策台" },
+  dashboard: { en: "PolyWeather Terminal", zh: "PolyWeather 天气决策台" },
   refresh: { en: "Refresh", zh: "刷新" },
   switchLang: { en: "Switch to Chinese", zh: "切换到英文" },
   globalWeatherFactors: { en: "Global Weather Factors", zh: "全球天气因子" },
@@ -356,7 +356,7 @@ function PolyWeatherTerminal({
     return () => window.removeEventListener("keydown", handleKeyDown);
   }, [searchInputRef, setSearchQuery]);
   const [navExpanded, setNavExpanded] = useState(false);
-  const [activeNavKey, setActiveNavKey] = useState<string>("contracts");
+  const [activeNavKey, setActiveNavKey] = useState<string>("thresholds");
 
   const [gridCols, setGridCols] = useState<number>(() => {
     if (typeof window !== "undefined") {
@@ -473,7 +473,7 @@ function PolyWeatherTerminal({
   };
 
   const NAV_ITEMS = [
-    { key: "contracts", Icon: Table2, labelEn: "Contracts", labelZh: "天气合约" },
+    { key: "thresholds", Icon: Table2, labelEn: "Thresholds", labelZh: "天气阈值" },
     { key: "training", Icon: GraduationCap, labelEn: "Training", labelZh: "训练数据" },
   ];
 

frontend/components/dashboard/scan-terminal/LiveTemperatureThresholdChart.tsx

@@ -51,6 +51,21 @@ function pairKey(pair: [string, string]) {
   return pair.map(normalizeRunwayLabel).sort().join("/");
 }
 
+function runwaySeriesKey(rwy: string) {
+  return `runway_${String(rwy || "unknown")
+    .split("/")
+    .map(normalizeRunwayLabel)
+    .filter(Boolean)
+    .join("_")}`;
+}
+
+function isTemperatureSeriesVisibleByDefault(city: string, seriesKey: string) {
+  if (seriesKey.startsWith("model_curve_")) {
+    return normalizeCityKey(city) === "paris" && seriesKey === "model_curve_AROME HD";
+  }
+  return true;
+}
+
 function buildRunwayPlates(
   amos: AmosData | null | undefined,
   row: ScanOpportunityRow | null,
@@ -289,6 +304,8 @@ type HourlyForecast = {
   airportPrimary?: AirportCurrentConditions | null;
   forecastDaily?: ForecastDay[];
   multiModelDaily?: Record<string, DailyModelForecast>;
+  settlementTodayObs?: ObsPoint[];
+  metarTodayObs?: ObsPoint[];
 } | null;
 
 function parseRunwayHistoryValue(point: Record<string, unknown>) {
@@ -335,7 +352,7 @@ function buildRunwayHistorySeries(
           .slice(-MAX_OBS_POINTS);
         const isSettlement = isSettlementRunway(row, normalizedRwy);
         return {
-          key: `runway_${index}`,
+          key: runwaySeriesKey(normalizedRwy),
           label: `${normalizedRwy}${isSettlement ? (row ? " 结算跑道" : " Settlement") : ""}`,
           rwy: normalizedRwy,
           isSettlement,
@@ -374,7 +391,7 @@ function buildRunwayHistorySeries(
         .filter((point): point is { ts: number; value: number } => point !== null);
       if (values.length <= 1) return null;
       return {
-        key: `runway_${index}`,
+        key: runwaySeriesKey(rwy),
         label: `${rwy}${isSettlement ? " 结算跑道" : ""}`,
         rwy,
         isSettlement,
@@ -605,8 +622,8 @@ function buildFullDayChartData(
   const tzOffset = row?.tz_offset_seconds ?? 0;
   const localDateStr = row?.local_date || new Date().toISOString().slice(0, 10);
 
-  const settlementObs = normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, tzOffset);
+  const settlementObs = normObs(hourly?.settlementTodayObs || row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, tzOffset);
-  const metarObs = normObs(row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs, tzOffset);
+  const metarObs = normObs(hourly?.metarTodayObs || row?.metar_today_obs || row?.metar_context?.today_obs || row?.metar_recent_obs || row?.metar_context?.recent_obs, tzOffset);
   const runwayHistorySeries = buildRunwayHistorySeries(row, hourly, tzOffset, localDateStr);
 
   const slots = generateFullDaySlots(localDateStr);
@@ -633,7 +650,7 @@ function buildFullDayChartData(
   });
 
   // ── Settlement observations ──
-  if (!runwayHistorySeries.length && settlementObs.length) {
+  if (settlementObs.length) {
     const svals = binObservationsToSlots(slots, settlementObs);
     if (svals.some((v) => v !== null)) {
       series.push({
@@ -653,7 +670,7 @@ function buildFullDayChartData(
     if (mvals.some((v) => v !== null)) {
       series.push({
         key: "metar",
-        label: "METAR",
+        label: row?.metar_context?.station_label || "METAR",
         source: row?.airport || "METAR",
         color: "#0ea5e9",
         dashed: true,
@@ -888,6 +905,8 @@ export function LiveTemperatureThresholdChart({
           airportPrimary: json.airport_primary || null,
           forecastDaily: json.forecast?.daily || [],
           multiModelDaily: json.multi_model_daily || {},
+          settlementTodayObs: (json as any).timeseries?.settlement_today_obs || (json as any)?.settlement_today_obs || undefined,
+          metarTodayObs: (json as any).timeseries?.metar_today_obs || (json as any)?.metar_today_obs || undefined,
         };
         _hourlyCache.set(city, { ts: Date.now(), data });
         setHourly(data);
@@ -905,8 +924,15 @@ export function LiveTemperatureThresholdChart({
 
   const tzOffset = row?.tz_offset_seconds ?? 0;
   const settlementObs = useMemo(() => {
-    return normObs(row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, tzOffset);
+    let obs = normObs(hourly?.settlementTodayObs || row?.settlement_today_obs || row?.metar_context?.settlement_today_obs, tzOffset);
-  }, [row, tzOffset]);
+    if (!obs.length && !hourly?.runwayPlateHistory) {
+      const mObs = normObs(hourly?.metarTodayObs || row?.metar_today_obs || row?.metar_context?.today_obs, tzOffset);
+      if (mObs.length > 0) {
+        obs = mObs;
+      }
+    }
+    return obs;
+  }, [row, hourly, tzOffset]);
 
   const runwayPlates = useMemo(() => buildRunwayPlates(hourly?.amos, row, settlementObs), [hourly?.amos, row, settlementObs]);
   const hasRunwayData = runwayPlates.length > 0;
@@ -920,13 +946,7 @@ export function LiveTemperatureThresholdChart({
     if (userToggledKeys[sKey] !== undefined) {
       return userToggledKeys[sKey];
     }
-    if (sKey.startsWith("model_curve_")) {
+    return isTemperatureSeriesVisibleByDefault(city, sKey);
-      if (city === "paris" && sKey === "model_curve_AROME HD") {
-        return true;
-      }
-      return false;
-    }
-    return true;
   };
 
   const activeSeries = useMemo(() => {
@@ -1436,3 +1456,13 @@ export function LiveTemperatureThresholdChart({
     </Panel>
   );
 }
+
+export function __buildTemperatureChartDataForTest(
+  row: ScanOpportunityRow | null,
+  hourly: HourlyForecast,
+  timeframe: "1D" | "3D" = "1D",
+) {
+  return timeframe === "3D" ? build3DayChartData(row, hourly) : buildFullDayChartData(row, hourly);
+}
+
+export const __isTemperatureSeriesVisibleByDefaultForTest = isTemperatureSeriesVisibleByDefault;

frontend/components/dashboard/scan-terminal/ProductAccessRequired.tsx

@@ -22,13 +22,13 @@ function SubscriptionGate({ isEn }: { isEn: boolean }) {
         "Real-time METAR observations across 500+ stations",
         "DEB forecast blends with 0–240h horizon",
         "AI decision cards with Poly-score ranking",
-        "Historical backtesting & weather market signals",
+        "Historical backtesting & weather signals",
       ]
     : [
         "500+ 气象站实时 METAR 实况",
         "DEB 智能融合预测（0–240 小时）",
         "AI 决策卡片 + Poly-score 排名",
-        "历史回测与天气市场交易信号",
+        "历史回测与天气信号",
       ];
 
   return (
@@ -46,7 +46,7 @@ function SubscriptionGate({ isEn }: { isEn: boolean }) {
             <h1 className="text-xl font-black tracking-tight">
               {isEn
                 ? "Unlock the Weather Terminal"
-                : "解锁天气交易决策台"}
+                : "解锁天气决策台"}
             </h1>
             <p className="mt-1 text-sm text-blue-100">
               {isEn

frontend/components/dashboard/scan-terminal/__tests__/temperatureDefaultVisibilityPolicy.test.ts

@@ -0,0 +1,110 @@
+import {
+  __buildTemperatureChartDataForTest,
+  __isTemperatureSeriesVisibleByDefaultForTest,
+} from "@/components/dashboard/scan-terminal/LiveTemperatureThresholdChart";
+
+function assert(condition: unknown, message: string) {
+  if (!condition) throw new Error(message);
+}
+
+function seriesByKey(series: Array<{ key: string }>, key: string) {
+  return series.find((item) => item.key === key);
+}
+
+export function runTests() {
+  const guangzhou = {
+    city: "guangzhou",
+    local_date: "2026-05-25",
+    local_time: "10:00",
+    tz_offset_seconds: 8 * 60 * 60,
+    airport: "ZGGG",
+    deb_prediction: 31,
+    runway_plate_history: {
+      "02L/20R": [
+        { time: "00:05", temp: 29.1 },
+        { time: "00:35", temp: 29.3 },
+      ],
+      "01L/19R": [
+        { time: "00:05", temp: 28.7 },
+        { time: "00:35", temp: 28.9 },
+      ],
+    },
+    settlement_today_obs: [
+      { time: "00:05", temp: 29.0 },
+      { time: "00:35", temp: 29.2 },
+    ],
+    metar_today_obs: [
+      { time: "00:05", temp: 28.0 },
+      { time: "00:35", temp: 28.5 },
+    ],
+  } as any;
+
+  const hourly = {
+    localTime: "10:00",
+    times: ["00:00", "00:30"],
+    temps: [29, 30],
+    modelCurves: {
+      ECMWF: [30.1, 30.2],
+      GFS: [29.7, 29.9],
+    },
+  } as any;
+
+  const { series } = __buildTemperatureChartDataForTest(guangzhou, hourly, "1D");
+
+  const settlementRunway = seriesByKey(series, "runway_02L_20R") as any;
+  assert(settlementRunway, "settlement runway should use a stable runway-pair key");
+  assert(settlementRunway.label.includes("结算跑道"), "settlement runway should be labeled as settlement runway");
+  assert(settlementRunway.color === "#009688", "settlement runway should use the highlight cyan color");
+  assert(settlementRunway.featured === true, "settlement runway should be featured");
+  assert(!settlementRunway.dashed, "settlement runway should be solid");
+
+  const auxiliaryRunway = seriesByKey(series, "runway_01L_19R") as any;
+  assert(auxiliaryRunway, "auxiliary runway should be displayed by default in the chart data");
+  assert(auxiliaryRunway.dashed === true, "auxiliary runway should be dashed");
+  assert(auxiliaryRunway.featured !== true, "auxiliary runway should not be featured");
+
+  assert(seriesByKey(series, "settlement"), "settlement/HKO observation series should still be present when runway data exists");
+  assert(seriesByKey(series, "metar"), "METAR observation series should be present by its own key");
+
+  assert(
+    __isTemperatureSeriesVisibleByDefaultForTest("guangzhou", "runway_02L_20R"),
+    "runway series should be visible by default",
+  );
+  assert(
+    __isTemperatureSeriesVisibleByDefaultForTest("guangzhou", "settlement"),
+    "settlement/HKO observations should be visible by default",
+  );
+  assert(
+    __isTemperatureSeriesVisibleByDefaultForTest("guangzhou", "metar"),
+    "METAR observations should be visible by default",
+  );
+  assert(
+    !__isTemperatureSeriesVisibleByDefaultForTest("guangzhou", "model_curve_ECMWF"),
+    "multi-model curves should be hidden by default",
+  );
+  assert(
+    __isTemperatureSeriesVisibleByDefaultForTest("paris", "model_curve_AROME HD"),
+    "Paris AROME HD should be the only default-visible model curve exception",
+  );
+
+  const shenzhen = __buildTemperatureChartDataForTest(
+    {
+      city: "shenzhen",
+      local_date: "2026-05-25",
+      local_time: "10:00",
+      tz_offset_seconds: 8 * 60 * 60,
+      metar_context: {
+        station: "Lau Fau Shan",
+        station_label: "HKO Lau Fau Shan",
+        today_obs: [
+          { time: "00:05", temp: 28.4 },
+          { time: "00:35", temp: 28.5 },
+        ],
+      },
+    } as any,
+    null,
+    "1D",
+  );
+  assert(seriesByKey(shenzhen.series, "metar"), "Shenzhen/Lau Fau Shan observations should stay as METAR/HKO observations, not runway data");
+  assert(!shenzhen.series.some((item) => item.key.startsWith("runway_")), "Shenzhen should not be treated as an AMSC runway city");
+}

frontend/components/dashboard/scan-terminal/city-card-decision-utils.ts

@@ -466,8 +466,8 @@ export function buildMarketDecisionView({
           ? "Quote is available, but model probability or YES price is incomplete."
           : "已获取报价，但模型概率或 YES 价格不完整。"
         : isEn
-          ? `Model probability is ${formatMarketPercent(modelProbability)} versus market-implied ${formatMarketPercent(implied)}.${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`
+          ? `Model probability is ${formatMarketPercent(modelProbability)} versus signal-implied ${formatMarketPercent(implied)}.${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`
-          : `模型概率 ${formatMarketPercent(modelProbability)}，市场隐含约 ${formatMarketPercent(implied)}。${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`,
+          : `模型概率 ${formatMarketPercent(modelProbability)}，信号隐含约 ${formatMarketPercent(implied)}。${bucketMappingExplanation ? ` ${bucketMappingExplanation}` : ""}`,
     status: "ready",
     title,
     tone,

frontend/components/landing/InstitutionalLandingPage.tsx

@@ -41,7 +41,7 @@ const RAW_MARKET_ROWS_ZH = [
 const COVERAGE_EN = [
   "Live airport observations",
   "DEB blend forecast",
-  "Market-implied temperature",
+  "Signal-implied temperature",
   "Intraday settlement windows",
   "AI weather evidence",
   "Paid Telegram alerts",
@@ -50,7 +50,7 @@ const COVERAGE_EN = [
 const COVERAGE_ZH = [
   "机场实况观测数据",
   "DEB 智能融合预报",
-  "市场隐含温度定价",
+  "信号隐含温度定价",
   "日内分段结算窗口",
   "AI 气象证据链解读",
   "付费电报实时通知",
@@ -60,7 +60,7 @@ const PRO_FEATURES_EN = [
   "Real-time METAR observations & runway sensor data",
   "Real-time METAR observations & alerts",
   "DEB blend forecast model",
-  "Market-implied temperature pricing",
+  "Signal-implied temperature pricing",
   "Intraday settlement windows & risk metrics",
   "Paid Telegram alerts & Webhook API",
   "24/7 priority professional support",
@@ -70,7 +70,7 @@ const PRO_FEATURES_ZH = [
   "实时 METAR 机场实测与跑道传感器数据",
   "实时 METAR 机场实测与预警",
   "DEB 智能融合预测模型",
-  "市场隐含温度定价与估值",
+  "信号隐含温度定价与估值",
   "日内结算窗口与风险度量指标",
   "付费电报群通知与 API 接口推送",
   "7×24小时专业技术与客服支持",
@@ -106,7 +106,7 @@ function InstitutionalLandingScreen() {
         {
           icon: Gauge,
           title: "Decision Workflow",
-          body: "City cards combine model forecast, current deviation, risk, and target contract context.",
+          body: "City cards combine model forecast, current deviation, risk, and target threshold context.",
         },
         {
           icon: ShieldCheck,
@@ -123,18 +123,18 @@ function InstitutionalLandingScreen() {
         {
           icon: Gauge,
           title: "决策工作流",
-          body: "城市决策卡片融合了气象预报、实况偏差、历史风险系数及目标合约盘口。",
+          body: "城市决策卡片融合了气象预报、实况偏差、历史风险系数及目标阈值盘口。",
         },
         {
           icon: ShieldCheck,
           title: "付费准入",
-          body: "除公开介绍和账户管理外，气象交易决策台仅向付费活跃订阅用户开放。",
+          body: "除公开介绍和账户管理外，气象决策台仅向付费活跃订阅用户开放。",
         },
       ];
 
   const modelLabels = isEn
-    ? ["DEB Blend", "Live METAR", "Market Implied"]
+    ? ["DEB Blend", "Live METAR", "Signal Implied"]
-    : ["DEB 融合预测", "METAR 机场实测", "市场隐含价格"];
+    : ["DEB 融合预测", "METAR 机场实测", "信号隐含价格"];
 
   return (
     <div className="min-h-screen bg-[#f4f7fb] text-slate-950">
@@ -220,12 +220,12 @@ function InstitutionalLandingScreen() {
               {isEn ? "Paid professional terminal" : "付费专业交易终端"}
             </div>
             <h1 className="max-w-2xl text-4xl font-black leading-[1.05] tracking-normal text-slate-950 sm:text-5xl lg:text-6xl">
-              {isEn ? "Institutional weather market intelligence for paid users." : "面向付费用户的机构级天气交易决策台"}
+              {isEn ? "Institutional weather signal intelligence for paid users." : "面向付费用户的机构级天气决策台"}
             </h1>
             <p className="mt-5 max-w-xl text-base leading-8 text-slate-600 sm:text-lg">
               {isEn
-                ? "PolyWeather turns live METAR observations, DEB forecast blends, model probabilities, and market settlement logic into one professional decision workspace."
+                ? "PolyWeather turns live METAR observations, DEB forecast blends, model probabilities, and signal settlement logic into one professional decision workspace."
-                : "PolyWeather 将 METAR 机场实测、DEB 智能融合预报、模型概率及市场结算逻辑整合于一体，打造气象风险管理专业决策环境。"}
+                : "PolyWeather 将 METAR 机场实测、DEB 智能融合预报、模型概率及信号结算逻辑整合于一体，打造气象风险管理专业决策环境。"}
             </p>
             <div className="mt-8 flex flex-col gap-3 sm:flex-row">
               <Link
@@ -253,7 +253,7 @@ function InstitutionalLandingScreen() {
             <div className="flex items-center justify-between border-b border-slate-200 px-4 py-3">
               <div className="flex items-center gap-2 text-sm font-bold">
                 <BarChart3 size={16} className="text-blue-700" />
-                {isEn ? "Weather Markets Dashboard" : "天气市场交易面板"}
+                {isEn ? "Weather Signals Dashboard" : "天气信号交易面板"}
               </div>
               <div className="flex items-center gap-2 text-xs font-semibold text-slate-500">
                 <span className="h-2 w-2 rounded-full bg-emerald-500" />
@@ -263,7 +263,7 @@ function InstitutionalLandingScreen() {
             <div className="grid gap-3 p-3 lg:grid-cols-[1fr_0.85fr]">
               <div className="rounded-xl border border-slate-200">
                 <div className="flex items-center justify-between border-b border-slate-200 bg-slate-50 px-3 py-2">
-                  <strong className="text-sm">{isEn ? "Temperature Contracts" : "温度天气合约"}</strong>
+                  <strong className="text-sm">{isEn ? "Temperature Thresholds" : "温度天气阈值"}</strong>
                   <span className="text-xs font-semibold text-slate-500">
                     {isEn ? "Price / Edge / Signal" : "价格 / 偏差 / 信号"}
                   </span>
@@ -325,8 +325,8 @@ function InstitutionalLandingScreen() {
                   </div>
                   <p className="text-sm leading-6 text-emerald-900">
                     {isEn
-                      ? "New York high-temperature market shows a positive observation deviation with confirmed airport evidence."
+                      ? "New York high-temperature signal shows a positive observation deviation with confirmed airport evidence."
-                      : "纽约高温合约市场出现显著的正向观测偏差，机场天气实况已验证确认。"}
+                      : "纽约高温阈值信号出现显著的正向观测偏差，机场天气实况已验证确认。"}
                   </p>
                 </div>
               </div>
@@ -356,7 +356,7 @@ function InstitutionalLandingScreen() {
                 {isEn ? "Data Coverage" : "数据覆盖范围"}
               </p>
               <h2 className="mt-2 text-3xl font-black">
-                {isEn ? "Everything weather-market users need in one place." : "天气市场交易者所需的一切，在此集结。"}
+                {isEn ? "Everything weather-signal users need in one place." : "天气信号交易者所需的一切，在此集结。"}
               </h2>
             </div>
             <p className="max-w-xl text-sm leading-6 text-slate-600">
@@ -404,8 +404,8 @@ function InstitutionalLandingScreen() {
                   </h3>
                   <p className="mt-2 text-sm text-slate-500 leading-relaxed">
                     {isEn
-                      ? "Full access to the institutional weather-market terminal. Live METAR, DEB forecasts, probability distribution, AI decision cards, and real-time alerts."
+                      ? "Full access to the institutional weather-signal terminal. Live METAR, DEB forecasts, probability distribution, AI decision cards, and real-time alerts."
-                      : "完整访问机构级天气市场终端。实时 METAR、DEB 预报、概率分布、AI 决策卡片、实时通知。"}
+                      : "完整访问机构级天气信号终端。实时 METAR、DEB 预报、概率分布、AI 决策卡片、实时通知。"}
                   </p>
                   <div className="mt-6 flex items-baseline">
                     <span className="text-5xl font-black tracking-tight text-slate-900">

frontend/content/docs/docs.ts

@@ -202,11 +202,11 @@ export const DOCS_PAGES: DocsPage[] = [
           },
           {
             id: "market-layer",
-            title: "市场价格层怎么读",
+            title: "信号价格层怎么读",
             blocks: [
-              { type: "paragraph", text: "温度桶标签来自完整市场桶列表，并会按 label / slug / question 识别 exact、or higher、or lower、range 等方向，避免把 30.5°C 错配到不合理的 16°C 或反向尾部桶。" },
+              { type: "paragraph", text: "温度桶标签来自完整信号桶列表，并会按 label / slug / question 识别 exact、or higher、or lower、range 等方向，避免把 30.5°C 错配到不合理的 16°C 或反向尾部桶。" },
-              { type: "callout", tone: "info", title: "模型-市场差", text: "模型-市场差 = 模型概率 − 市场隐含概率。正数表示天气概率高于市场报价；负数表示市场已经把该 YES 计价得更充分。它不是温度变化，也不是收益率。" },
+              { type: "callout", tone: "info", title: "模型-信号差", text: "模型-信号差 = 模型概率 − 信号隐含概率。正数表示天气概率高于信号报价；负数表示信号已经把该 YES 计价得更充分。它不是温度变化，也不是收益率。" },
-              { type: "paragraph", text: "YES 买入价以可执行报价为主；没有可靠模型概率或 YES 价格时，决策卡会显示报价已匹配但暂不计算模型-市场差。" },
+              { type: "paragraph", text: "YES 买入价以可执行报价为主；没有可靠模型概率或 YES 价格时，决策卡会显示报价已匹配但暂不计算模型-信号差。" },
             ],
           },
           {
@@ -240,11 +240,11 @@ export const DOCS_PAGES: DocsPage[] = [
           },
           {
             id: "market-layer",
-            title: "How to read the market layer",
+            title: "How to read the signal layer",
             blocks: [
-              { type: "paragraph", text: "Bucket labels come from the full market bucket list. The card reads label / slug / question text to distinguish exact, or-higher, or-lower, and range buckets, so a 30.5°C weather center is not matched to an unreasonable 16°C or reverse-tail bucket." },
+              { type: "paragraph", text: "Bucket labels come from the full signal bucket list. The card reads label / slug / question text to distinguish exact, or-higher, or-lower, and range buckets, so a 30.5°C weather center is not matched to an unreasonable 16°C or reverse-tail bucket." },
-              { type: "callout", tone: "info", title: "Model-market difference", text: "Model-market difference = model probability minus market-implied probability. A positive value means the weather probability is above market pricing; a negative value means the YES is already priced more fully by the market. It is not a temperature delta or return." },
+              { type: "callout", tone: "info", title: "Model-signal difference", text: "Model-signal difference = model probability minus signal-implied probability. A positive value means the weather probability is above signal pricing; a negative value means the YES is already priced more fully by the signal. It is not a temperature delta or return." },
-              { type: "paragraph", text: "YES buy uses executable quote data when available. If either model probability or YES price is incomplete, the card shows the quote match but withholds the model-market difference." },
+              { type: "paragraph", text: "YES buy uses executable quote data when available. If either model probability or YES price is incomplete, the card shows the quote match but withholds the model-signal difference." },
             ],
           },
           {