Merge branch 'brokermr810:main' into main

2026-01-25 11:32:44 +08:00
parent 0c80f4caf0 5df11e2491
commit 092bc4fbe6
27 changed files with 5122 additions and 119 deletions
@@ -106,6 +106,14 @@ QuantDinger includes a built-in **LLM-based multi-agent research system** that g

 ## 📸 Visual Tour

+<div align="center">
+  <h3>🗺️ System Architecture Overview</h3>
+  <p>A comprehensive view of QuantDinger's AI-powered research, backtesting, and automated trading capabilities.</p>
+  <img src="docs/screenshots/tuopu.png" alt="QuantDinger System Topology" width="100%" style="border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); max-width: 800px;">
+</div>
+
+<br/>
+
 <div align="center">
  <h3>📊 Professional Quant Dashboard</h3>
  <p>Real-time monitoring of market dynamics, assets, and strategy status.</p>
@@ -288,7 +296,29 @@ Config lives in `.env` (see `backend_api_python/env.example`): `ENABLE_AGENT_MEM
 - **Auto-Restore**: Resumes running strategies after system restarts
 - **Order Queue**: Background worker for order execution

-### 7. Tech Stack
+### 7. Multi-LLM Provider Support
+
+QuantDinger supports multiple AI providers with auto-detection:
+
+| Provider | Features |
+|----------|----------|
+| **OpenRouter** | Multi-model gateway (default), 100+ models |
+| **OpenAI** | GPT-4o, GPT-4o-mini |
+| **Google Gemini** | Gemini 1.5 Flash/Pro |
+| **DeepSeek** | DeepSeek Chat (cost-effective) |
+| **xAI Grok** | Grok Beta |
+
+Simply configure your preferred provider's API key in `.env`. The system auto-detects available providers.
+
+### 8. User Management & Security
+
+- **Multi-User Support**: PostgreSQL-backed user accounts with role-based permissions
+- **OAuth Login**: Google and GitHub OAuth integration
+- **Email Verification**: Registration and password reset via email codes
+- **Security Features**: Cloudflare Turnstile captcha, IP/account rate limiting
+- **Demo Mode**: Read-only mode for public demonstrations
+
+### 9. Tech Stack

 - **Backend**: Python (Flask) + PostgreSQL + Redis (optional)
 - **Frontend**: Vue 2 + Ant Design Vue + KlineCharts/ECharts
@@ -708,10 +738,13 @@ Use `backend_api_python/env.example` as a template. Common settings include:
 - **Auth**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
 - **Server**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
 - **Database**: `DATABASE_URL` (PostgreSQL connection string)
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`, timeouts
+- **AI / LLM**: `LLM_PROVIDER` (openrouter/openai/google/deepseek/grok), provider-specific API keys
+- **OAuth**: `GOOGLE_CLIENT_ID`, `GOOGLE_CLIENT_SECRET`, `GITHUB_CLIENT_ID`, `GITHUB_CLIENT_SECRET`
+- **Security**: `TURNSTILE_SITE_KEY`, `TURNSTILE_SECRET_KEY`, `ENABLE_REGISTRATION`
 - **Web search**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **Order Execution**: `ORDER_MODE` (maker/market), `MAKER_WAIT_SEC`, `MAKER_OFFSET_BPS`
 - **Proxy (optional)**: `PROXY_PORT` or `PROXY_URL`
- **Workers**: `ENABLE_PENDING_ORDER_WORKER`, `DISABLE_RESTORE_RUNNING_STRATEGIES`
+- **Workers**: `ENABLE_PENDING_ORDER_WORKER`, `ENABLE_PORTFOLIO_MONITOR`

 ---

@@ -823,6 +856,30 @@ Your contributions help us maintain and improve QuantDinger.

 ---

+### 🎓 Supporting Partners
+
+We are proud to be supported by academic institutions and organizations advancing quantitative finance education and research.
+
+<div align="center">
+<table>
+  <tr>
+    <td align="center" width="50%">
+      <a href="https://beinvolved.indiana.edu/organization/quantfiniu" target="_blank">
+        <img src="docs/screenshots/qfs_logo.png" alt="Indiana University Quantitative Finance Society" width="280" style="border-radius: 8px;">
+      </a>
+      <br/><br/>
+      <strong>Quantitative Finance Society (QFS)</strong><br/>
+      <small>Indiana University Bloomington</small><br/>
+      <small>Fostering the next generation of quantitative finance professionals</small>
+    </td>
+  </tr>
+</table>
+</div>
+
+> 💡 **Interested in becoming a supporting partner?** We welcome collaborations with universities, research institutions, and organizations. Contact us at [brokermr810@gmail.com](mailto:brokermr810@gmail.com) or via [Telegram](https://t.me/worldinbroker).
+
+---
+
 ### Acknowledgements

 QuantDinger stands on the shoulders of great open-source projects:
@@ -106,6 +106,14 @@ QuantDinger 包含一个内置的**基于 LLM 的多智能体研究系统**，

 ## 📸 功能预览

+<div align="center">
+  <h3>🗺️ 系统架构总览</h3>
+  <p>QuantDinger AI 驱动的研究、回测和自动化交易功能全景图。</p>
+  <img src="docs/screenshots/tuopu.png" alt="QuantDinger 系统拓扑图" width="100%" style="border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); max-width: 800px;">
+</div>
+
+<br/>
+
 <div align="center">
  <h3>📊 专业量化仪表盘</h3>
  <p>实时监控市场动态、资产状况和策略状态。</p>
@@ -326,7 +334,29 @@ score = w_{sim}\cdot sim + w_{recency}\cdot recency + w_{returns}\cdot returns\_
 - **自动恢复**：系统重启后恢复运行中的策略
 - **订单队列**：后台工作线程用于订单执行

-### 7. 技术栈
+### 7. 多LLM提供商支持
+
+QuantDinger 支持多个 AI 提供商，具备自动检测功能：
+
+| 提供商 | 特点 |
+|--------|------|
+| **OpenRouter** | 多模型网关（默认），100+ 模型 |
+| **OpenAI** | GPT-4o, GPT-4o-mini |
+| **Google Gemini** | Gemini 1.5 Flash/Pro |
+| **DeepSeek** | DeepSeek Chat（性价比高） |
+| **xAI Grok** | Grok Beta |
+
+只需在 `.env` 中配置您首选提供商的 API 密钥，系统会自动检测可用提供商。
+
+### 8. 用户管理与安全
+
+- **多用户支持**：基于 PostgreSQL 的用户账户，支持基于角色的权限管理
+- **OAuth 登录**：Google 和 GitHub OAuth 集成
+- **邮箱验证**：通过邮箱验证码进行注册和密码重置
+- **安全功能**：Cloudflare Turnstile 人机验证、IP/账户速率限制
+- **演示模式**：用于公开演示的只读模式
+
+### 9. 技术栈

 - **后端**：Python (Flask) + PostgreSQL + Redis（可选）
 - **前端**：Vue 2 + Ant Design Vue + KlineCharts/ECharts
@@ -535,9 +565,14 @@ npm run serve

 - **认证**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
 - **服务器**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`
+- **数据库**: `DATABASE_URL` (PostgreSQL 连接字符串)
+- **AI / LLM**: `LLM_PROVIDER` (openrouter/openai/google/deepseek/grok), 各提供商 API 密钥
+- **OAuth**: `GOOGLE_CLIENT_ID`, `GOOGLE_CLIENT_SECRET`, `GITHUB_CLIENT_ID`, `GITHUB_CLIENT_SECRET`
+- **安全**: `TURNSTILE_SITE_KEY`, `TURNSTILE_SECRET_KEY`, `ENABLE_REGISTRATION`
 - **网络搜索**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **订单执行**: `ORDER_MODE` (maker/market), `MAKER_WAIT_SEC`, `MAKER_OFFSET_BPS`
 - **代理 (可选)**: `PROXY_PORT` 或 `PROXY_URL`
+- **后台服务**: `ENABLE_PENDING_ORDER_WORKER`, `ENABLE_PORTFOLIO_MONITOR`

 ---

@@ -632,6 +667,30 @@ QuantDinger 的代码使用 **Apache License 2.0** 授权。但需要注意：**

 ---

+### 🎓 支持伙伴
+
+我们很荣幸获得推动量化金融教育和研究的学术机构和组织的支持。
+
+<div align="center">
+<table>
+  <tr>
+    <td align="center" width="50%">
+      <a href="https://beinvolved.indiana.edu/organization/quantfiniu" target="_blank">
+        <img src="docs/screenshots/qfs_logo.png" alt="印第安纳大学量化金融学会" width="280" style="border-radius: 8px;">
+      </a>
+      <br/><br/>
+      <strong>量化金融学会 (QFS)</strong><br/>
+      <small>印第安纳大学布卢明顿分校</small><br/>
+      <small>培养下一代量化金融专业人才</small>
+    </td>
+  </tr>
+</table>
+</div>
+
+> 💡 **有兴趣成为支持伙伴吗？** 我们欢迎与大学、研究机构和组织合作。请通过 [brokermr810@gmail.com](mailto:brokermr810@gmail.com) 或 [Telegram](https://t.me/worldinbroker) 联系我们。
+
+---
+
 ### 致谢

 QuantDinger 站在这些伟大的开源项目肩膀之上：Flask, Pandas, CCXT, Vue.js, Ant Design Vue, KlineCharts 等。
@@ -106,6 +106,14 @@ QuantDingerには、ウェブから金融情報を収集し、ローカル市場

 ## 📸 ビジュアルツアー

+<div align="center">
+  <h3>🗺️ システムアーキテクチャ概要</h3>
+  <p>QuantDinger の AI 駆動型リサーチ、バックテスト、自動取引機能の全体像。</p>
+  <img src="docs/screenshots/tuopu.png" alt="QuantDinger システムトポロジー" width="100%" style="border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); max-width: 800px;">
+</div>
+
+<br/>
+
 <div align="center">
  <h3>📊 プロフェッショナル・クオンツダッシュボード</h3>
  <p>市場の動向、資産、戦略ステータスをリアルタイムで監視。</p>
@@ -296,9 +304,31 @@ score = w_{sim}\cdot sim + w_{recency}\cdot recency + w_{returns}\cdot returns\_
 - **自動復元**: システム再起動後に実行中の戦略を再開
 - **注文キュー**: 注文実行のためのバックグラウンドワーカー

-### 7. 技術スタック
+### 7. マルチLLMプロバイダーサポート

- **バックエンド**: Python (Flask) + SQLite + Redis（オプション）
+QuantDinger は複数の AI プロバイダーをサポートし、自動検出機能を備えています：
+
+| プロバイダー | 特徴 |
+|------------|------|
+| **OpenRouter** | マルチモデルゲートウェイ（デフォルト）、100+ モデル |
+| **OpenAI** | GPT-4o, GPT-4o-mini |
+| **Google Gemini** | Gemini 1.5 Flash/Pro |
+| **DeepSeek** | DeepSeek Chat（コスパ良好） |
+| **xAI Grok** | Grok Beta |
+
+`.env` でお好みのプロバイダーの API キーを設定するだけで、システムが利用可能なプロバイダーを自動検出します。
+
+### 8. ユーザー管理とセキュリティ
+
+- **マルチユーザーサポート**：PostgreSQL ベースのユーザーアカウント、ロールベースの権限管理
+- **OAuth ログイン**：Google および GitHub OAuth 統合
+- **メール認証**：メール認証コードによる登録とパスワードリセット
+- **セキュリティ機能**：Cloudflare Turnstile キャプチャ、IP/アカウントレート制限
+- **デモモード**：公開デモ用の読み取り専用モード
+
+### 9. 技術スタック
+
+- **バックエンド**: Python (Flask) + PostgreSQL + Redis（オプション）
 - **フロントエンド**: Vue 2 + Ant Design Vue + KlineCharts/ECharts
 - **デプロイ**: Docker Compose

@@ -491,9 +521,14 @@ npm run serve

 - **認証**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
 - **サーバー**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`
+- **データベース**: `DATABASE_URL` (PostgreSQL 接続文字列)
+- **AI / LLM**: `LLM_PROVIDER` (openrouter/openai/google/deepseek/grok), 各プロバイダー API キー
+- **OAuth**: `GOOGLE_CLIENT_ID`, `GOOGLE_CLIENT_SECRET`, `GITHUB_CLIENT_ID`, `GITHUB_CLIENT_SECRET`
+- **セキュリティ**: `TURNSTILE_SITE_KEY`, `TURNSTILE_SECRET_KEY`, `ENABLE_REGISTRATION`
 - **ウェブ検索**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **注文執行**: `ORDER_MODE` (maker/market), `MAKER_WAIT_SEC`, `MAKER_OFFSET_BPS`
 - **プロキシ (オプション)**: `PROXY_PORT` または `PROXY_URL`
+- **バックグラウンドサービス**: `ENABLE_PENDING_ORDER_WORKER`, `ENABLE_PORTFOLIO_MONITOR`

 ---

@@ -588,6 +623,30 @@ QuantDinger のコードは **Apache License 2.0** で提供されています

 ---

+### 🎓 サポートパートナー
+
+量的金融の教育と研究を推進する学術機関や組織からのサポートを光栄に思います。
+
+<div align="center">
+<table>
+  <tr>
+    <td align="center" width="50%">
+      <a href="https://beinvolved.indiana.edu/organization/quantfiniu" target="_blank">
+        <img src="docs/screenshots/qfs_logo.png" alt="インディアナ大学量的金融学会" width="280" style="border-radius: 8px;">
+      </a>
+      <br/><br/>
+      <strong>量的金融学会 (QFS)</strong><br/>
+      <small>インディアナ大学ブルーミントン校</small><br/>
+      <small>次世代の量的金融専門家を育成</small>
+    </td>
+  </tr>
+</table>
+</div>
+
+> 💡 **サポートパートナーになりませんか？** 大学、研究機関、組織との協力を歓迎します。[brokermr810@gmail.com](mailto:brokermr810@gmail.com) または [Telegram](https://t.me/worldinbroker) でお問い合わせください。
+
+---
+
 ### 謝辞

 QuantDingerは、Flask, Pandas, CCXT, Vue.js, Ant Design Vue, KlineChartsなどの素晴らしいオープンソースプロジェクトの上に成り立っています。
@@ -106,6 +106,14 @@ QuantDinger는 웹에서 금융 정보를 수집하고, 로컬 시장 데이터

 ## 📸 비주얼 투어

+<div align="center">
+  <h3>🗺️ 시스템 아키텍처 개요</h3>
+  <p>QuantDinger의 AI 기반 리서치, 백테스팅 및 자동화 거래 기능 전체 개요.</p>
+  <img src="docs/screenshots/tuopu.png" alt="QuantDinger 시스템 토폴로지" width="100%" style="border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); max-width: 800px;">
+</div>
+
+<br/>
+
 <div align="center">
  <h3>📊 전문 퀀트 대시보드</h3>
  <p>시장 역학, 자산 및 전략 상태에 대한 실시간 모니터링.</p>
@@ -296,9 +304,31 @@ score = w_{sim}\cdot sim + w_{recency}\cdot recency + w_{returns}\cdot returns\_
 - **자동 복구**: 시스템 재시작 후 실행 중인 전략 재개
 - **주문 대기열**: 주문 실행을 위한 백그라운드 워커

-### 7. 기술 스택
+### 7. 멀티 LLM 제공자 지원

- **백엔드**: Python (Flask) + SQLite + Redis（옵션）
+QuantDinger는 자동 감지 기능을 갖춘 여러 AI 제공자를 지원합니다:
+
+| 제공자 | 특징 |
+|--------|------|
+| **OpenRouter** | 멀티모델 게이트웨이(기본값), 100+ 모델 |
+| **OpenAI** | GPT-4o, GPT-4o-mini |
+| **Google Gemini** | Gemini 1.5 Flash/Pro |
+| **DeepSeek** | DeepSeek Chat(가성비 좋음) |
+| **xAI Grok** | Grok Beta |
+
+`.env`에서 선호하는 제공자의 API 키만 설정하면 시스템이 사용 가능한 제공자를 자동 감지합니다.
+
+### 8. 사용자 관리 및 보안
+
+- **멀티유저 지원**: PostgreSQL 기반 사용자 계정, 역할 기반 권한 관리
+- **OAuth 로그인**: Google 및 GitHub OAuth 통합
+- **이메일 인증**: 이메일 인증 코드를 통한 등록 및 비밀번호 재설정
+- **보안 기능**: Cloudflare Turnstile 캡차, IP/계정 속도 제한
+- **데모 모드**: 공개 데모를 위한 읽기 전용 모드
+
+### 9. 기술 스택
+
+- **백엔드**: Python (Flask) + PostgreSQL + Redis（옵션）
 - **프론트엔드**: Vue 2 + Ant Design Vue + KlineCharts/ECharts
 - **배포**: Docker Compose

@@ -504,9 +534,14 @@ npm run serve

 - **인증**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
 - **서버**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`
+- **데이터베이스**: `DATABASE_URL` (PostgreSQL 연결 문자열)
+- **AI / LLM**: `LLM_PROVIDER` (openrouter/openai/google/deepseek/grok), 각 제공자 API 키
+- **OAuth**: `GOOGLE_CLIENT_ID`, `GOOGLE_CLIENT_SECRET`, `GITHUB_CLIENT_ID`, `GITHUB_CLIENT_SECRET`
+- **보안**: `TURNSTILE_SITE_KEY`, `TURNSTILE_SECRET_KEY`, `ENABLE_REGISTRATION`
 - **웹 검색**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **주문 실행**: `ORDER_MODE` (maker/market), `MAKER_WAIT_SEC`, `MAKER_OFFSET_BPS`
 - **프록시 (옵션)**: `PROXY_PORT` 또는 `PROXY_URL`
+- **백그라운드 서비스**: `ENABLE_PENDING_ORDER_WORKER`, `ENABLE_PORTFOLIO_MONITOR`

 ---

@@ -601,6 +636,30 @@ QuantDinger의 코드는 **Apache License 2.0**으로 제공됩니다. 다만 **

 ---

+### 🎓 지원 파트너
+
+양적 금융 교육 및 연구를 발전시키는 학술 기관과 조직의 지원을 받게 되어 자랑스럽습니다.
+
+<div align="center">
+<table>
+  <tr>
+    <td align="center" width="50%">
+      <a href="https://beinvolved.indiana.edu/organization/quantfiniu" target="_blank">
+        <img src="docs/screenshots/qfs_logo.png" alt="인디애나 대학교 양적금융학회" width="280" style="border-radius: 8px;">
+      </a>
+      <br/><br/>
+      <strong>양적금융학회 (QFS)</strong><br/>
+      <small>인디애나 대학교 블루밍턴</small><br/>
+      <small>차세대 양적 금융 전문가 양성</small>
+    </td>
+  </tr>
+</table>
+</div>
+
+> 💡 **지원 파트너가 되는 데 관심이 있으신가요?** 대학, 연구 기관 및 조직과의 협력을 환영합니다. [brokermr810@gmail.com](mailto:brokermr810@gmail.com) 또는 [Telegram](https://t.me/worldinbroker)으로 연락주세요.
+
+---
+
 ### 감사의 말

 QuantDinger는 Flask, Pandas, CCXT, Vue.js, Ant Design Vue, KlineCharts 등과 같은 훌륭한 오픈 소스 프로젝트의 어깨 위에 서 있습니다.
@@ -106,6 +106,14 @@ QuantDinger 包含一個內置的**基於 LLM 的多智能體研究系統**，

 ## 📸 功能預覽

+<div align="center">
+  <h3>🗺️ 系統架構總覽</h3>
+  <p>QuantDinger AI 驅動的研究、回測和自動化交易功能全景圖。</p>
+  <img src="docs/screenshots/tuopu.png" alt="QuantDinger 系統拓撲圖" width="100%" style="border-radius: 10px; box-shadow: 0 4px 12px rgba(0,0,0,0.15); max-width: 800px;">
+</div>
+
+<br/>
+
 <div align="center">
  <h3>📊 專業量化儀表盤</h3>
  <p>實時監控市場動態、資產狀況和策略狀態。</p>
@@ -296,9 +304,31 @@ score = w_{sim}\cdot sim + w_{recency}\cdot recency + w_{returns}\cdot returns\_
 - **自動恢復**：系統重啟後恢復運行中的策略
 - **訂單隊列**：後台工作線程用於訂單執行

-### 7. 技術棧
+### 7. 多LLM提供商支援

- **後端**：Python (Flask) + SQLite + Redis（可選）
+QuantDinger 支援多個 AI 提供商，具備自動檢測功能：
+
+| 提供商 | 特點 |
+|--------|------|
+| **OpenRouter** | 多模型閘道（預設），100+ 模型 |
+| **OpenAI** | GPT-4o, GPT-4o-mini |
+| **Google Gemini** | Gemini 1.5 Flash/Pro |
+| **DeepSeek** | DeepSeek Chat（高性價比） |
+| **xAI Grok** | Grok Beta |
+
+只需在 `.env` 中配置您首選提供商的 API 金鑰，系統會自動檢測可用提供商。
+
+### 8. 使用者管理與安全
+
+- **多使用者支援**：基於 PostgreSQL 的使用者帳戶，支援基於角色的權限管理
+- **OAuth 登入**：Google 和 GitHub OAuth 整合
+- **郵箱驗證**：透過郵箱驗證碼進行註冊和密碼重設
+- **安全功能**：Cloudflare Turnstile 人機驗證、IP/帳戶速率限制
+- **示範模式**：用於公開示範的唯讀模式
+
+### 9. 技術棧
+
+- **後端**：Python (Flask) + PostgreSQL + Redis（可選）
 - **前端**：Vue 2 + Ant Design Vue + KlineCharts/ECharts
 - **部署**：Docker Compose

@@ -504,10 +534,15 @@ npm run serve
 使用 `backend_api_python/env.example` 作為模板。常用設置包括：

 - **認證**: `SECRET_KEY`, `ADMIN_USER`, `ADMIN_PASSWORD`
- **服務器**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
- **AI / LLM**: `OPENROUTER_API_KEY`, `OPENROUTER_MODEL`
- **網絡搜索**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **伺服器**: `PYTHON_API_HOST`, `PYTHON_API_PORT`, `PYTHON_API_DEBUG`
+- **資料庫**: `DATABASE_URL` (PostgreSQL 連接字串)
+- **AI / LLM**: `LLM_PROVIDER` (openrouter/openai/google/deepseek/grok), 各提供商 API 金鑰
+- **OAuth**: `GOOGLE_CLIENT_ID`, `GOOGLE_CLIENT_SECRET`, `GITHUB_CLIENT_ID`, `GITHUB_CLIENT_SECRET`
+- **安全**: `TURNSTILE_SITE_KEY`, `TURNSTILE_SECRET_KEY`, `ENABLE_REGISTRATION`
+- **網路搜尋**: `SEARCH_PROVIDER`, `SEARCH_GOOGLE_*`, `SEARCH_BING_API_KEY`
+- **訂單執行**: `ORDER_MODE` (maker/market), `MAKER_WAIT_SEC`, `MAKER_OFFSET_BPS`
 - **代理 (可選)**: `PROXY_PORT` 或 `PROXY_URL`
+- **後台服務**: `ENABLE_PENDING_ORDER_WORKER`, `ENABLE_PORTFOLIO_MONITOR`

 ---

@@ -602,6 +637,30 @@ QuantDinger 的代碼使用 **Apache License 2.0** 授權。但請注意：**Apa

 ---

+### 🎓 支持夥伴
+
+我們很榮幸獲得推動量化金融教育和研究的學術機構和組織的支持。
+
+<div align="center">
+<table>
+  <tr>
+    <td align="center" width="50%">
+      <a href="https://beinvolved.indiana.edu/organization/quantfiniu" target="_blank">
+        <img src="docs/screenshots/qfs_logo.png" alt="印第安納大學量化金融學會" width="280" style="border-radius: 8px;">
+      </a>
+      <br/><br/>
+      <strong>量化金融學會 (QFS)</strong><br/>
+      <small>印第安納大學布盧明頓分校</small><br/>
+      <small>培養下一代量化金融專業人才</small>
+    </td>
+  </tr>
+</table>
+</div>
+
+> 💡 **有興趣成為支持夥伴嗎？** 我們歡迎與大學、研究機構和組織合作。請透過 [brokermr810@gmail.com](mailto:brokermr810@gmail.com) 或 [Telegram](https://t.me/worldinbroker) 聯繫我們。
+
+---
+
 ### 致謝

 QuantDinger 站在這些偉大的開源項目肩膀之上：Flask, Pandas, CCXT, Vue.js, Ant Design Vue, KlineCharts 等。
@@ -22,6 +22,7 @@ def register_routes(app: Flask):
    from app.routes.ibkr import ibkr_bp
    from app.routes.mt5 import mt5_bp
    from app.routes.user import user_bp
+    from app.routes.global_market import global_market_bp
    
    app.register_blueprint(health_bp)
    app.register_blueprint(auth_bp, url_prefix='/api/auth')   # Auth routes
@@ -39,3 +40,4 @@ def register_routes(app: Flask):
    app.register_blueprint(portfolio_bp, url_prefix='/api/portfolio')
    app.register_blueprint(ibkr_bp, url_prefix='/api/ibkr')
    app.register_blueprint(mt5_bp, url_prefix='/api/mt5')
+    app.register_blueprint(global_market_bp, url_prefix='/api/global-market')
@@ -379,9 +379,14 @@ def login_with_code():
                    (user['id'],)
                )
                db.commit()
+                affected = cur.rowcount
                cur.close()
+                if affected == 0:
+                    logger.error(f"Failed to update last_login_at: no rows affected for user_id={user['id']}")
+                else:
+                    logger.info(f"Updated last_login_at for user_id={user['id']}")
        except Exception as e:
-            logger.warning(f"Failed to update last_login_at: {e}")
+            logger.error(f"Failed to update last_login_at for user_id={user.get('id')}: {e}")
        
        # Log login
        security.log_security_event('login_via_code', user['id'], ip_address, user_agent)
@@ -66,7 +66,7 @@ def get_public_config():
                'google/gemini-2.5-pro': 'Google: Gemini 2.5 Pro',
                'openai/gpt-4o-mini': 'OpenAI: GPT-4o-mini',
                'openai/gpt-5-mini': 'OpenAI: GPT-5 Mini',
-                'openai/gpt-oss-120b': 'OpenAI: gpt-oss-120b',
+                'openai/gpt-4.1-mini': 'OpenAI: GPT-4.1 Mini',
                'deepseek/deepseek-v3.2': 'DeepSeek: DeepSeek V3.2',
                'minimax/minimax-m2': 'MiniMax: MiniMax M2',
                'anthropic/claude-sonnet-4': 'Anthropic: Claude Sonnet 4',
@@ -816,9 +816,6 @@ def get_strategy_notifications():
            user_strategy_ids = [r.get('id') for r in rows if r.get('id')]
            cur.close()
        
-        if not user_strategy_ids:
-            return jsonify({'code': 1, 'msg': 'success', 'data': {'items': []}})
-
        where = []
        args = []
        
@@ -830,9 +827,15 @@ def get_strategy_notifications():
            else:
                return jsonify({'code': 1, 'msg': 'success', 'data': {'items': []}})
        else:
-            placeholders = ",".join(["?"] * len(user_strategy_ids))
-            where.append(f"strategy_id IN ({placeholders})")
-            args.extend(user_strategy_ids)
+            if user_strategy_ids:
+                placeholders = ",".join(["?"] * len(user_strategy_ids))
+                where.append(f"(strategy_id IN ({placeholders}) OR (strategy_id IS NULL AND user_id = ?))")
+                args.extend(user_strategy_ids)
+                args.append(user_id)
+            else:
+                # Only portfolio monitor notifications (strategy_id is NULL)
+                where.append("strategy_id IS NULL AND user_id = ?")
+                args.append(user_id)
        
        if since_id:
            where.append("id > ?")
@@ -889,15 +892,18 @@ def mark_notification_read():
        if not notification_id:
            return jsonify({'code': 0, 'msg': 'Missing id'}), 400

-        # Only update notifications for user's strategies
+        # Update notifications for user's strategies OR portfolio monitor notifications
        with get_db_connection() as db:
            cur = db.cursor()
            cur.execute(
                """
                UPDATE qd_strategy_notifications SET is_read = 1 
-                WHERE id = ? AND strategy_id IN (SELECT id FROM qd_strategies_trading WHERE user_id = ?)
+                WHERE id = ? AND (
+                    strategy_id IN (SELECT id FROM qd_strategies_trading WHERE user_id = ?)
+                    OR (strategy_id IS NULL AND user_id = ?)
+                )
                """,
-                (int(notification_id), user_id)
+                (int(notification_id), user_id, user_id)
            )
            db.commit()
            cur.close()
@@ -920,8 +926,9 @@ def mark_all_notifications_read():
                """
                UPDATE qd_strategy_notifications SET is_read = 1 
                WHERE strategy_id IN (SELECT id FROM qd_strategies_trading WHERE user_id = ?)
+                   OR (strategy_id IS NULL AND user_id = ?)
                """,
-                (user_id,)
+                (user_id, user_id)
            )
            db.commit()
            cur.close()
@@ -944,8 +951,9 @@ def clear_notifications():
                """
                DELETE FROM qd_strategy_notifications 
                WHERE strategy_id IN (SELECT id FROM qd_strategies_trading WHERE user_id = ?)
+                   OR (strategy_id IS NULL AND user_id = ?)
                """,
-                (user_id,)
+                (user_id, user_id)
            )
            db.commit()
            cur.close()
@@ -387,8 +387,9 @@ class LLMService:
                logger.error(f"{p.value} API HTTP error ({current_model}): {error_detail}")
                last_error = str(e)
                
-                # Check for payment/quota errors
-                if e.response and e.response.status_code in (402, 429):
+                # Check for recoverable errors - try fallback model
+                # 402: Payment required, 403: Forbidden (invalid key), 404: Model not found, 429: Rate limit
+                if e.response and e.response.status_code in (402, 403, 404, 429):
                    logger.warning(f"{p.value} returned {e.response.status_code} for model {current_model}; trying fallback...")
                    continue
                
@@ -768,8 +768,9 @@ def _send_monitor_notification(
                            cur.close()
                    elif ch == 'telegram':
                        chat_id = targets.get('telegram', '')
+                        token_override = targets.get('telegram_bot_token', '')
                        if chat_id:
-                            notifier._notify_telegram(chat_id=chat_id, text=f"<b>{error_title}</b>\n\n{error_msg}", parse_mode="HTML")
+                            notifier._notify_telegram(chat_id=chat_id, text=f"<b>{error_title}</b>\n\n{error_msg}", token_override=token_override, parse_mode="HTML")
                    elif ch == 'email':
                        to_email = targets.get('email', '')
                        if to_email:
@@ -815,11 +816,13 @@ def _send_monitor_notification(
                
                elif ch == 'telegram':
                    chat_id = targets.get('telegram', '')
+                    token_override = targets.get('telegram_bot_token', '')
                    if chat_id:
                        # Use Telegram-optimized format
                        notifier._notify_telegram(
                            chat_id=chat_id,
                            text=telegram_report,
+                            token_override=token_override,
                            parse_mode="HTML"
                        )
                
@@ -1099,8 +1102,9 @@ def _check_position_alerts():
                                    cur.close()
                            elif ch == 'telegram':
                                chat_id = targets.get('telegram', '')
+                                token_override = targets.get('telegram_bot_token', '')
                                if chat_id:
-                                    notifier._notify_telegram(chat_id=chat_id, text=alert_message, parse_mode="HTML")
+                                    notifier._notify_telegram(chat_id=chat_id, text=alert_message, token_override=token_override, parse_mode="HTML")
                            elif ch == 'email':
                                to_email = targets.get('email', '')
                                if to_email:
@@ -1,19 +1,24 @@
 """
 Search service.
-Integrates Google Custom Search (CSE) and Bing Search API.
+Integrates Google Custom Search (CSE), Bing Search API, and DuckDuckGo (free fallback).
 Configuration is provided via environment variables (see env.example) through config_loader.
 """
 import requests
 import json
+import time
 from typing import List, Dict, Any, Optional
 from app.utils.logger import get_logger
 from app.utils.config_loader import load_addon_config

 logger = get_logger(__name__)

+# Track Google API quota status
+_google_quota_exhausted = False
+_google_quota_reset_time = 0
+

 class SearchService:
-    """Search service."""
+    """Search service with automatic fallback."""
    
    def __init__(self):
        self._config = {}
@@ -28,7 +33,7 @@ class SearchService:

    def search(self, query: str, num_results: int = None, date_restrict: str = None) -> List[Dict[str, Any]]:
        """
-        Execute a web search.
+        Execute a web search with automatic fallback.
        
        Args:
            query: Search query
@@ -38,18 +43,45 @@ class SearchService:
        Returns:
            List of search results
        """
+        global _google_quota_exhausted, _google_quota_reset_time
+        
        # 重新加载配置以支持热更新
        self._load_config()
        
        limit = num_results if num_results else self.max_results
        
+        # Check if Google quota has reset (after midnight UTC typically)
+        if _google_quota_exhausted and time.time() > _google_quota_reset_time:
+            _google_quota_exhausted = False
+            logger.info("Google API quota reset, re-enabling Google search")
+        
+        results = []
+        
        if self.provider == 'bing':
-            return self._search_bing(query, limit)
+            results = self._search_bing(query, limit)
+        elif self.provider == 'duckduckgo':
+            results = self._search_duckduckgo(query, limit)
        else:
-            return self._search_google(query, limit, date_restrict)
+            # Google with fallback
+            if not _google_quota_exhausted:
+                results = self._search_google(query, limit, date_restrict)
+            
+            # If Google failed or returned empty, try fallbacks
+            if not results:
+                logger.info("Google search failed or empty, trying fallback search engines...")
+                # Try Bing first if configured
+                results = self._search_bing(query, limit)
+                
+                # If Bing also failed, try DuckDuckGo (free, no API key needed)
+                if not results:
+                    results = self._search_duckduckgo(query, limit)
+        
+        return results

    def _search_google(self, query: str, num_results: int, date_restrict: str = None) -> List[Dict[str, Any]]:
        """Google Custom Search (CSE)."""
+        global _google_quota_exhausted, _google_quota_reset_time
+        
        api_key = self._config.get('google', {}).get('api_key')
        cx = self._config.get('google', {}).get('cx')
        
@@ -71,17 +103,23 @@ class SearchService:
            params['dateRestrict'] = date_restrict
        
        try:
-            # logger.info(f"正在调用 Google Search API: q={query}, params={params}")
            response = requests.get(url, params=params, timeout=10)
+            
+            # Check for quota exceeded (429)
+            if response.status_code == 429:
+                logger.warning("Google Search API quota exceeded (429). Switching to fallback search engines.")
+                _google_quota_exhausted = True
+                # Set reset time to next day midnight UTC
+                import datetime
+                tomorrow = datetime.datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0) + datetime.timedelta(days=1)
+                _google_quota_reset_time = tomorrow.timestamp()
+                return []
+            
            response.raise_for_status()
            data = response.json()
            
-            # logger.info(f"Google Search 原始响应: {json.dumps(data, ensure_ascii=False)}") # 打印全部字符
-            # logger.info(f"Google Search 原始响应: {json.dumps(data, ensure_ascii=False)[:500]}...") # 打印前500字符避免日志过大
-            
            results = []
            if 'items' in data:
-                # logger.info(f"Google Search 返回了 {len(data['items'])} 条结果")
                for item in data['items']:
                    logger.debug(f"Search Item: {item.get('title')} - {item.get('link')}")
                    results.append({
@@ -96,10 +134,20 @@ class SearchService:

            return results
            
+        except requests.exceptions.HTTPError as e:
+            if hasattr(e, 'response') and e.response is not None and e.response.status_code == 429:
+                logger.warning("Google Search API quota exceeded. Switching to fallback.")
+                _google_quota_exhausted = True
+                import datetime
+                tomorrow = datetime.datetime.utcnow().replace(hour=0, minute=0, second=0, microsecond=0) + datetime.timedelta(days=1)
+                _google_quota_reset_time = tomorrow.timestamp()
+            else:
+                logger.error(f"Google search failed: {e}")
+                if hasattr(e, 'response') and e.response is not None:
+                    logger.error(f"Response: {e.response.text}")
+            return []
        except Exception as e:
            logger.error(f"Google search failed: {e}")
-            if 'response' in locals():
-                logger.error(f"Response: {response.text}")
            return []

    def _search_bing(self, query: str, num_results: int) -> List[Dict[str, Any]]:
@@ -140,3 +188,120 @@ class SearchService:
            logger.error(f"Bing search failed: {e}")
            return []

+    def _search_duckduckgo(self, query: str, num_results: int) -> List[Dict[str, Any]]:
+        """
+        DuckDuckGo search (free, no API key required).
+        Uses the DuckDuckGo HTML search endpoint.
+        """
+        try:
+            # Use DuckDuckGo Instant Answer API
+            url = "https://api.duckduckgo.com/"
+            params = {
+                'q': query,
+                'format': 'json',
+                'no_html': 1,
+                'skip_disambig': 1
+            }
+            
+            response = requests.get(url, params=params, timeout=10)
+            response.raise_for_status()
+            data = response.json()
+            
+            results = []
+            
+            # Get results from RelatedTopics
+            related_topics = data.get('RelatedTopics', [])
+            for topic in related_topics[:num_results]:
+                if isinstance(topic, dict):
+                    if 'FirstURL' in topic:
+                        results.append({
+                            'title': topic.get('Text', '')[:100],
+                            'link': topic.get('FirstURL', ''),
+                            'snippet': topic.get('Text', ''),
+                            'source': 'DuckDuckGo',
+                            'published': ''
+                        })
+                    # Handle nested topics
+                    elif 'Topics' in topic:
+                        for sub_topic in topic['Topics']:
+                            if len(results) >= num_results:
+                                break
+                            if 'FirstURL' in sub_topic:
+                                results.append({
+                                    'title': sub_topic.get('Text', '')[:100],
+                                    'link': sub_topic.get('FirstURL', ''),
+                                    'snippet': sub_topic.get('Text', ''),
+                                    'source': 'DuckDuckGo',
+                                    'published': ''
+                                })
+            
+            # Also check AbstractURL and AbstractText
+            if data.get('AbstractURL') and len(results) < num_results:
+                results.insert(0, {
+                    'title': data.get('Heading', query),
+                    'link': data.get('AbstractURL', ''),
+                    'snippet': data.get('AbstractText', ''),
+                    'source': 'DuckDuckGo',
+                    'published': ''
+                })
+            
+            # If no results from Instant Answer, try HTML scraping as fallback
+            if not results:
+                results = self._search_duckduckgo_html(query, num_results)
+            
+            if results:
+                logger.info(f"DuckDuckGo search returned {len(results)} results")
+            
+            return results[:num_results]
+            
+        except Exception as e:
+            logger.error(f"DuckDuckGo search failed: {e}")
+            # Try HTML fallback
+            return self._search_duckduckgo_html(query, num_results)
+
+    def _search_duckduckgo_html(self, query: str, num_results: int) -> List[Dict[str, Any]]:
+        """
+        DuckDuckGo HTML search fallback.
+        Scrapes the lite HTML version for better results.
+        """
+        try:
+            url = "https://lite.duckduckgo.com/lite/"
+            headers = {
+                'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
+            }
+            data = {'q': query}
+            
+            response = requests.post(url, headers=headers, data=data, timeout=10)
+            response.raise_for_status()
+            
+            results = []
+            
+            # Simple HTML parsing without BeautifulSoup
+            html = response.text
+            
+            # Find all result links (they have class="result-link")
+            import re
+            
+            # Pattern to find result entries
+            link_pattern = r'<a[^>]*class="result-link"[^>]*href="([^"]*)"[^>]*>([^<]*)</a>'
+            snippet_pattern = r'<td[^>]*class="result-snippet"[^>]*>([^<]*)</td>'
+            
+            links = re.findall(link_pattern, html)
+            snippets = re.findall(snippet_pattern, html)
+            
+            for i, (link, title) in enumerate(links[:num_results]):
+                snippet = snippets[i] if i < len(snippets) else ''
+                if link and title:
+                    results.append({
+                        'title': title.strip(),
+                        'link': link,
+                        'snippet': snippet.strip(),
+                        'source': 'DuckDuckGo',
+                        'published': ''
+                    })
+            
+            return results
+            
+        except Exception as e:
+            logger.error(f"DuckDuckGo HTML search failed: {e}")
+            return []
@@ -52,29 +52,48 @@ class TradingExecutor:
        self._ensure_db_columns()

    def _ensure_db_columns(self):
-        """确保必要的数据库字段存在"""
+        """确保必要的数据库字段存在（支持 SQLite 和 PostgreSQL）"""
        try:
+            db_type = os.getenv('DB_TYPE', 'sqlite').lower()
            with get_db_connection() as db:
                cursor = db.cursor()
+                col_names = set()

-                # SQLite 兼容：使用 PRAGMA table_info 检查列是否存在
-                try:
-                    cursor.execute("PRAGMA table_info(qd_strategy_positions)")
-                    cols = cursor.fetchall() or []
-                    col_names = {c.get('name') for c in cols if isinstance(c, dict)}
-                except Exception:
-                    col_names = set()
+                if db_type == 'postgresql':
+                    # PostgreSQL: 使用 information_schema 查询列
+                    try:
+                        cursor.execute("""
+                            SELECT column_name FROM information_schema.columns 
+                            WHERE table_name = 'qd_strategy_positions'
+                        """)
+                        cols = cursor.fetchall() or []
+                        col_names = {c.get('column_name') or c.get('COLUMN_NAME') for c in cols if isinstance(c, dict)}
+                    except Exception:
+                        col_names = set()
+                else:
+                    # SQLite: 使用 PRAGMA table_info
+                    try:
+                        cursor.execute("PRAGMA table_info(qd_strategy_positions)")
+                        cols = cursor.fetchall() or []
+                        col_names = {c.get('name') for c in cols if isinstance(c, dict)}
+                    except Exception:
+                        col_names = set()

                if 'highest_price' not in col_names:
-                    logger.info("Adding highest_price column to qd_strategy_positions (SQLite)...")
-                    # SQLite 不支持 AFTER 子句，类型用 REAL 即可
-                    cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN highest_price REAL DEFAULT 0")
+                    logger.info(f"Adding highest_price column to qd_strategy_positions ({db_type})...")
+                    if db_type == 'postgresql':
+                        cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN IF NOT EXISTS highest_price DOUBLE PRECISION DEFAULT 0")
+                    else:
+                        cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN highest_price REAL DEFAULT 0")
                    db.commit()
                    logger.info("highest_price column added")

                if 'lowest_price' not in col_names:
-                    logger.info("Adding lowest_price column to qd_strategy_positions (SQLite)...")
-                    cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN lowest_price REAL DEFAULT 0")
+                    logger.info(f"Adding lowest_price column to qd_strategy_positions ({db_type})...")
+                    if db_type == 'postgresql':
+                        cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN IF NOT EXISTS lowest_price DOUBLE PRECISION DEFAULT 0")
+                    else:
+                        cursor.execute("ALTER TABLE qd_strategy_positions ADD COLUMN lowest_price REAL DEFAULT 0")
                    db.commit()
                    logger.info("lowest_price column added")

@@ -170,9 +170,14 @@ class UserService:
                    (user['id'],)
                )
                db.commit()
+                affected = cur.rowcount
                cur.close()
+                if affected == 0:
+                    logger.error(f"Failed to update last_login_at: no rows affected for user_id={user['id']}")
+                else:
+                    logger.info(f"Updated last_login_at for user_id={user['id']}")
        except Exception as e:
-            logger.warning(f"Failed to update last_login_at: {e}")
+            logger.error(f"Failed to update last_login_at for user_id={user.get('id')}: {e}")
        
        # Remove password_hash from return value
        user.pop('password_hash', None)
@@ -1,16 +0,0 @@
-- Migration: Add notification_settings column to qd_users table
-- Run this if you see error: column "notification_settings" does not exist
-
-- Add notification_settings column (if not exists)
-DO $$ 
-BEGIN
-    IF NOT EXISTS (
-        SELECT 1 FROM information_schema.columns 
-        WHERE table_name = 'qd_users' AND column_name = 'notification_settings'
-    ) THEN
-        ALTER TABLE qd_users ADD COLUMN notification_settings TEXT DEFAULT '';
-        RAISE NOTICE 'Column notification_settings added to qd_users';
-    ELSE
-        RAISE NOTICE 'Column notification_settings already exists';
-    END IF;
-END $$;
@@ -0,0 +1,79 @@
+/**
+ * Global Market Dashboard API
+ */
+import request from '@/utils/request'
+
+const BASE_URL = '/api/global-market'
+
+/**
+ * Get global market overview (indices, forex, crypto, commodities)
+ * Includes geo coordinates for world map display
+ */
+export function getMarketOverview () {
+  return request({
+    url: `${BASE_URL}/overview`,
+    method: 'get'
+  })
+}
+
+/**
+ * Get market heatmap data (crypto, stock sectors, forex)
+ */
+export function getMarketHeatmap () {
+  return request({
+    url: `${BASE_URL}/heatmap`,
+    method: 'get'
+  })
+}
+
+/**
+ * Get financial news - separated by language (cn/en)
+ * @param {string} lang - Language filter: 'cn', 'en', or 'all' (default)
+ */
+export function getMarketNews (lang = 'all') {
+  return request({
+    url: `${BASE_URL}/news`,
+    method: 'get',
+    params: { lang }
+  })
+}
+
+/**
+ * Get economic calendar with impact indicators
+ */
+export function getEconomicCalendar () {
+  return request({
+    url: `${BASE_URL}/calendar`,
+    method: 'get'
+  })
+}
+
+/**
+ * Get market sentiment (Fear & Greed Index, VIX)
+ */
+export function getMarketSentiment () {
+  return request({
+    url: `${BASE_URL}/sentiment`,
+    method: 'get'
+  })
+}
+
+/**
+ * Get trading opportunities based on technical analysis
+ */
+export function getTradingOpportunities () {
+  return request({
+    url: `${BASE_URL}/opportunities`,
+    method: 'get'
+  })
+}
+
+/**
+ * Force refresh all market data (clears cache)
+ */
+export function refreshMarketData () {
+  return request({
+    url: `${BASE_URL}/refresh`,
+    method: 'post'
+  })
+}
@@ -16,6 +16,13 @@ export const asyncRouterMap = [
        component: () => import('@/views/dashboard'),
        meta: { title: 'menu.dashboard', keepAlive: true, icon: 'dashboard', permission: ['dashboard'] }
      },
+      // 全球金融面板
+      {
+        path: '/global-market',
+        name: 'GlobalMarket',
+        component: () => import('@/views/global-market'),
+        meta: { title: 'menu.dashboard.globalMarket', keepAlive: true, icon: 'global', permission: ['dashboard'] }
+      },
      // AI 分析
      {
        path: '/ai-analysis/:pageNo([1-9]\\d*)?',
@@ -44,13 +51,6 @@ export const asyncRouterMap = [
        component: () => import('@/views/portfolio'),
        meta: { title: 'menu.dashboard.portfolio', keepAlive: true, icon: 'fund', permission: ['dashboard'] }
      },
-      // 指标社区（keepAlive disabled intentionally for iframe page)
-      {
-        path: '/indicator-community',
-        name: 'IndicatorCommunity',
-        component: () => import('@/views/indicator-community'),
-        meta: { title: 'menu.dashboard.community', keepAlive: false, icon: 'shop', permission: ['dashboard'] }
-      },
      // 系统设置 (admin only)
      {
        path: '/settings',
@@ -71,6 +71,13 @@ export const asyncRouterMap = [
        name: 'Profile',
        component: () => import('@/views/profile'),
        meta: { title: 'menu.myProfile', keepAlive: false, icon: 'user', permission: ['dashboard'] }
+      },
+      // 官方社区（keepAlive disabled intentionally for iframe page）
+      {
+        path: '/indicator-community',
+        name: 'IndicatorCommunity',
+        component: () => import('@/views/indicator-community'),
+        meta: { title: 'menu.dashboard.community', keepAlive: false, icon: 'shop', permission: ['dashboard'] }
      }

      // other
@@ -26,9 +26,10 @@ const locale = {
  'menu.dashboard': 'Dashboard',
  'menu.dashboard.analysis': 'AI Analysis',
  'menu.dashboard.indicator': 'Indicator Analysis',
-  'menu.dashboard.community': 'Indicator Community',
+  'menu.dashboard.community': 'Official Community',
  'menu.dashboard.tradingAssistant': 'Trading Assistant',
  'menu.dashboard.portfolio': 'Portfolio',
+  'menu.dashboard.globalMarket': 'Global Market',
  'menu.settings': 'Settings',
  'menu.dashboard.aiTradingAssistant': 'AI Trading Assistant',
  'menu.dashboard.signalRobot': 'Signal Robot',
@@ -2353,6 +2354,8 @@ const locale = {
  'portfolio.form.deselectAll': 'Deselect All',
  'portfolio.form.selectedCount': '{count} of {total} selected',
  'portfolio.form.pleaseSelectPositions': 'Please select at least one position to monitor',
+  'portfolio.form.notificationFromProfile': 'Notifications will be sent to addresses configured in your profile',
+  'portfolio.form.goToProfile': 'Go to settings',
  'portfolio.message.loadFailed': 'Failed to load data',
  'portfolio.message.saveSuccess': 'Saved successfully',
  'portfolio.message.saveFailed': 'Failed to save',
@@ -2581,7 +2584,64 @@ const locale = {
  'settings.desc.CREDITS_REFERRAL_BONUS': 'Credits awarded to referrer when someone signs up with their referral code',
  'settings.desc.VERIFICATION_CODE_MAX_ATTEMPTS': 'Maximum attempts to verify a code before lockout',
  'settings.desc.VERIFICATION_CODE_LOCK_MINUTES': 'Lockout duration after exceeding max attempts',
-  'settings.desc.RECHARGE_TELEGRAM_URL': 'Telegram customer service URL for recharge inquiries'
+  'settings.desc.RECHARGE_TELEGRAM_URL': 'Telegram customer service URL for recharge inquiries',
+
+  // Global Market
+  'globalMarket.title': 'Global Market Dashboard',
+  'globalMarket.lastUpdate': 'Last Update',
+  'globalMarket.refresh': 'Refresh',
+  'globalMarket.name': 'Name',
+  'globalMarket.price': 'Price',
+  'globalMarket.change': 'Change',
+  'globalMarket.trend': 'Trend',
+  'globalMarket.pair': 'Pair',
+  'globalMarket.unit': 'Unit',
+  'globalMarket.refreshSuccess': 'Data refreshed successfully',
+  'globalMarket.refreshError': 'Failed to refresh data',
+  'globalMarket.fetchError': 'Failed to fetch data',
+  'globalMarket.loading': 'Loading...',
+  'globalMarket.fearGreedIndex': 'Fear & Greed Index',
+  'globalMarket.fearGreedTip': 'Fear & Greed Index measures market sentiment, 0 = Extreme Fear, 100 = Extreme Greed',
+  'globalMarket.volatilityIndex': 'Volatility Index',
+  'globalMarket.vixTitle': 'VIX Volatility Index',
+  'globalMarket.vixTip': 'VIX measures expected market volatility, higher values indicate more market fear',
+  'globalMarket.extremeFear': 'Extreme Fear',
+  'globalMarket.fear': 'Fear',
+  'globalMarket.neutral': 'Neutral',
+  'globalMarket.greed': 'Greed',
+  'globalMarket.extremeGreed': 'Extreme Greed',
+  'globalMarket.marketOverview': 'Market Overview',
+  'globalMarket.indices': 'Indices',
+  'globalMarket.forex': 'Forex',
+  'globalMarket.crypto': 'Crypto',
+  'globalMarket.commodities': 'Commodities',
+  'globalMarket.heatmap': 'Market Heatmap',
+  'globalMarket.cryptoHeatmap': 'Crypto Heatmap',
+  'globalMarket.sectorHeatmap': 'Sector Heatmap',
+  'globalMarket.forexHeatmap': 'Forex Heatmap',
+  'globalMarket.opportunities': 'Trading Opportunities',
+  'globalMarket.noOpportunities': 'No significant opportunities detected',
+  'globalMarket.financialNews': 'Financial News',
+  'globalMarket.noNews': 'No news available',
+  'globalMarket.economicCalendar': 'Economic Calendar',
+  'globalMarket.noEvents': 'No events scheduled',
+  'globalMarket.actual': 'Actual',
+  'globalMarket.forecast': 'Forecast',
+  'globalMarket.previous': 'Previous',
+  'globalMarket.signal.bullish': 'Bullish Momentum',
+  'globalMarket.signal.bearish': 'Bearish Momentum',
+  'globalMarket.signal.overbought': 'Overbought Warning',
+  'globalMarket.signal.oversold': 'Oversold Opportunity',
+  'globalMarket.worldMap': 'Global Markets Map',
+  'globalMarket.rising': 'Rising',
+  'globalMarket.falling': 'Falling',
+  'globalMarket.bullish': 'Bullish',
+  'globalMarket.bearish': 'Bearish',
+  'globalMarket.expectedImpact': 'Expected Impact',
+  'globalMarket.aboveForecast': 'Above Forecast',
+  'globalMarket.belowForecast': 'Below Forecast',
+  'globalMarket.upcomingEvents': 'Upcoming Events',
+  'globalMarket.releasedEvents': 'Released Data'
 }

 export default {
@@ -25,10 +25,11 @@ const locale = {
 'menu.home': '主页',
 'menu.dashboard': '仪表盘',
 'menu.dashboard.indicator': '指标分析',
-'menu.dashboard.community': '指标社区',
+'menu.dashboard.community': '官方社区',
 'menu.dashboard.analysis': 'AI 分析',
 'menu.dashboard.tradingAssistant': '交易助手',
 'menu.dashboard.portfolio': '资产监测',
+'menu.dashboard.globalMarket': '全球金融',
 'menu.settings': '系统设置',
 'menu.dashboard.aiTradingAssistant': 'AI交易助手',
 'menu.dashboard.signalRobot': '信号机器人',
@@ -2163,6 +2164,8 @@ const locale = {
 'portfolio.form.deselectAll': '全不选',
 'portfolio.form.selectedCount': '已选 {count}/{total}',
 'portfolio.form.pleaseSelectPositions': '请至少选择一个持仓进行监控',
+'portfolio.form.notificationFromProfile': '通知将发送到您在个人中心配置的地址',
+'portfolio.form.goToProfile': '前往配置',
 'portfolio.message.loadFailed': '加载数据失败',
 'portfolio.message.saveSuccess': '保存成功',
 'portfolio.message.saveFailed': '保存失败',
@@ -2391,7 +2394,64 @@ const locale = {
 'settings.desc.CREDITS_REFERRAL_BONUS': '用户通过邀请链接成功邀请新用户时，邀请人获得的积分奖励',
 'settings.desc.VERIFICATION_CODE_MAX_ATTEMPTS': '验证码验证失败的最大尝试次数，超过后将锁定',
 'settings.desc.VERIFICATION_CODE_LOCK_MINUTES': '验证码验证失败次数超过限制后的锁定时长（分钟）',
-'settings.desc.RECHARGE_TELEGRAM_URL': '用户点击充值时跳转的Telegram客服链接'
+'settings.desc.RECHARGE_TELEGRAM_URL': '用户点击充值时跳转的Telegram客服链接',
+
+// Global Market
+'globalMarket.title': '全球金融面板',
+'globalMarket.lastUpdate': '最后更新',
+'globalMarket.refresh': '刷新数据',
+'globalMarket.name': '名称',
+'globalMarket.price': '价格',
+'globalMarket.change': '涨跌',
+'globalMarket.trend': '走势',
+'globalMarket.pair': '货币对',
+'globalMarket.unit': '单位',
+'globalMarket.refreshSuccess': '数据刷新成功',
+'globalMarket.refreshError': '数据刷新失败',
+'globalMarket.fetchError': '获取数据失败',
+'globalMarket.loading': '加载中...',
+'globalMarket.fearGreedIndex': '恐惧贪婪指数',
+'globalMarket.fearGreedTip': '恐惧贪婪指数衡量市场情绪，0表示极度恐惧，100表示极度贪婪',
+'globalMarket.volatilityIndex': '波动率指数',
+'globalMarket.vixTitle': 'VIX 波动率指数',
+'globalMarket.vixTip': 'VIX指数衡量市场预期波动率，数值越高表示市场越恐慌',
+'globalMarket.extremeFear': '极度恐惧',
+'globalMarket.fear': '恐惧',
+'globalMarket.neutral': '中性',
+'globalMarket.greed': '贪婪',
+'globalMarket.extremeGreed': '极度贪婪',
+'globalMarket.marketOverview': '全球市场概览',
+'globalMarket.indices': '主要指数',
+'globalMarket.forex': '外汇市场',
+'globalMarket.crypto': '加密货币',
+'globalMarket.commodities': '大宗商品',
+'globalMarket.heatmap': '市场热力图',
+'globalMarket.cryptoHeatmap': '加密货币热力图',
+'globalMarket.sectorHeatmap': '板块热力图',
+'globalMarket.forexHeatmap': '外汇热力图',
+'globalMarket.opportunities': '交易机会',
+'globalMarket.noOpportunities': '暂无明显交易机会',
+'globalMarket.financialNews': '财经资讯',
+'globalMarket.noNews': '暂无新闻',
+'globalMarket.economicCalendar': '财经日历',
+'globalMarket.noEvents': '暂无事件',
+'globalMarket.actual': '实际',
+'globalMarket.forecast': '预期',
+'globalMarket.previous': '前值',
+'globalMarket.signal.bullish': '看涨趋势',
+'globalMarket.signal.bearish': '看跌趋势',
+'globalMarket.signal.overbought': '超买警告',
+'globalMarket.signal.oversold': '超卖机会',
+'globalMarket.worldMap': '全球市场地图',
+'globalMarket.rising': '上涨',
+'globalMarket.falling': '下跌',
+'globalMarket.bullish': '利多',
+'globalMarket.bearish': '利空',
+'globalMarket.expectedImpact': '预期影响',
+'globalMarket.aboveForecast': '高于预期',
+'globalMarket.belowForecast': '低于预期',
+'globalMarket.upcomingEvents': '即将公布',
+'globalMarket.releasedEvents': '已公布数据'
 }

 export default {
@@ -727,9 +727,9 @@
        >
          <template #message>
            <span>
-              {{ $t('portfolio.form.notificationFromProfile') || '通知将发送到您在个人中心配置的地址' }}
+              {{ $t('portfolio.form.notificationFromProfile') }}
              <router-link to="/profile" style="margin-left: 8px">
-                <a-icon type="setting" /> {{ $t('portfolio.form.goToProfile') || '前往配置' }}
+                <a-icon type="setting" /> {{ $t('portfolio.form.goToProfile') }}
              </router-link>
            </span>
          </template>
@@ -806,9 +806,9 @@
        >
          <template #message>
            <span>
-              {{ $t('portfolio.form.notificationFromProfile') || '通知将发送到您在个人中心配置的地址' }}
+              {{ $t('portfolio.form.notificationFromProfile') }}
              <router-link to="/profile" style="margin-left: 8px">
-                <a-icon type="setting" /> {{ $t('portfolio.form.goToProfile') || '前往配置' }}
+                <a-icon type="setting" /> {{ $t('portfolio.form.goToProfile') }}
              </router-link>
            </span>
          </template>
@@ -836,15 +836,21 @@
              :key="pos.id"
              class="position-checkbox-item"
            >
-              <a-checkbox :value="pos.id">
-                <span class="position-checkbox-label">
-                  <a-tag :color="getMarketColor(pos.market)" size="small">{{ pos.market }}</a-tag>
-                  <span class="symbol">{{ pos.symbol }}</span>
-                  <span class="name">{{ pos.name }}</span>
-                  <span :class="['pnl', pos.pnl >= 0 ? 'positive' : 'negative']">
-                    {{ pos.pnl >= 0 ? '+' : '' }}{{ formatNumber(pos.pnl_percent) }}%
-                  </span>
-                </span>
+              <a-checkbox :value="pos.id" class="position-checkbox">
+                <div class="position-checkbox-label">
+                  <div class="position-left">
+                    <a-tag :color="getMarketColor(pos.market)" size="small">{{ pos.market }}</a-tag>
+                    <span class="symbol">{{ pos.symbol }}</span>
+                  </div>
+                  <div class="position-middle">
+                    <span class="name" :title="pos.name">{{ pos.name }}</span>
+                  </div>
+                  <div class="position-right">
+                    <span :class="['pnl', pos.pnl >= 0 ? 'positive' : 'negative']">
+                      {{ pos.pnl >= 0 ? '+' : '' }}{{ formatNumber(pos.pnl_percent) }}%
+                    </span>
+                  </div>
+                </div>
              </a-checkbox>
            </div>
          </a-checkbox-group>
@@ -2615,34 +2621,64 @@ export default {
  }
 }

+.position-checkbox {
+  width: 100%;
+
+  // Override Ant Design checkbox label width
+  ::v-deep .ant-checkbox + span {
+    width: calc(100% - 24px);
+    padding-left: 8px;
+    padding-right: 0;
+  }
+}
+
 .position-checkbox-label {
-  display: inline-flex;
+  display: flex;
  align-items: center;
  gap: 8px;
  font-size: 13px;
+  width: 100%;

-  .symbol {
-    font-weight: 600;
-    color: #262626;
-    min-width: 60px;
+  .position-left {
+    display: flex;
+    align-items: center;
+    gap: 6px;
+    flex-shrink: 0;
+
+    .symbol {
+      font-weight: 600;
+      color: #262626;
+      min-width: 50px;
+    }
  }

-  .name {
-    color: #8c8c8c;
-    font-size: 12px;
+  .position-middle {
    flex: 1;
+    min-width: 0;
    overflow: hidden;
-    text-overflow: ellipsis;
-    white-space: nowrap;
-    max-width: 120px;
+
+    .name {
+      color: #8c8c8c;
+      font-size: 12px;
+      display: block;
+      overflow: hidden;
+      text-overflow: ellipsis;
+      white-space: nowrap;
+    }
  }

-  .pnl {
-    font-weight: 500;
-    font-size: 12px;
+  .position-right {
+    flex-shrink: 0;
+    margin-left: auto;

-    &.positive { color: @green; }
-    &.negative { color: @red; }
+    .pnl {
+      font-weight: 500;
+      font-size: 12px;
+      white-space: nowrap;
+
+      &.positive { color: @green; }
+      &.negative { color: @red; }
+    }
  }
 }

@@ -2676,8 +2712,8 @@ export default {
  }

  .position-checkbox-label {
-    .symbol { color: #d1d4dc; }
-    .name { color: #868993; }
+    .position-left .symbol { color: #d1d4dc; }
+    .position-middle .name { color: #868993; }
  }

  .position-select-actions {
@@ -171,8 +171,12 @@
                        v-decorator="[item.key, { initialValue: getFieldValue(groupKey, item.key) || item.default }]"
                        :placeholder="item.default ? `${$t('settings.default')}: ${item.default}` : $t('settings.pleaseSelect')"
                      >
-                        <a-select-option v-for="opt in item.options" :key="opt" :value="opt">
-                          {{ opt }}
+                        <a-select-option
+                          v-for="opt in getSelectOptions(item.options)"
+                          :key="opt.value"
+                          :value="opt.value"
+                        >
+                          {{ opt.label }}
                        </a-select-option>
                      </a-select>
                    </template>
@@ -249,6 +253,21 @@ export default {
    this.loadSettings()
  },
  methods: {
+    // 兼容后端 schema options 两种格式：
+    // - string[]: ['openrouter','openai', ...]
+    // - {value,label}[]: [{value:'openrouter',label:'OpenRouter'}, ...]
+    getSelectOptions (options) {
+      const arr = Array.isArray(options) ? options : []
+      return arr.map(opt => {
+        if (opt && typeof opt === 'object') {
+          return {
+            value: opt.value != null ? String(opt.value) : '',
+            label: opt.label != null ? String(opt.label) : String(opt.value || '')
+          }
+        }
+        return { value: String(opt), label: String(opt) }
+      }).filter(o => o.value !== '')
+    },
    async loadSettings () {
      this.loading = true
      try {