dsh-stock-assistant

A-share quotes, market hotspots and quant analysis assistant — a plugin for DeepSeek Harness (DSH).

Data sources: Eastmoney public endpoints (quotes, sectors, limit-up pool, money flow, news) + Tencent quotes (adjusted K-lines) + akshare (dragon-tiger list, financial abstracts).

⚠️ Data comes from unofficial public endpoints. For research/learning only — not investment advice.

Features

Registers 20 model tools, a standalone "Stock Assistant" settings section, and watch alerts (session log + Windows toast notifications).

Category	Tools
Quotes & analysis	stock_quote stock_kline stock_indicators strategy
Hotspots	sector_rank sector_flow limit_up_pool dragon_tiger
Flow, finance & news	stock_flow stock_finance stock_news
Quant	screen (multi-factor screener) backtest (6-strategy backtest)
Watchlist & alerts	watchlist_add watchlist_remove watchlist_show watch_start watch_stop watch_status watch_alerts

The settings section (Settings → Stock Assistant) edits the watchlist, backtest/strategy parameters and alert thresholds; changes take effect immediately.

Installation

Prerequisites:

• Node.js ≥ 18 (required to build the client bundle)
• Python 3 + akshare (only dragon_tiger and stock_finance need it; pip install akshare)
• Windows: toast notifications are Windows-only (silently skipped on other platforms)

Option 1: install from GitHub

dsh plugin --profile web add github:fxxg023/dsh-stock-assistant

Recommended: pin a commit for reproducibility — dsh plugin --profile web add git+https://github.com/fxxg023/dsh-stock-assistant.git#<commit>

Option 2: local development

git clone https://github.com/fxxg023/dsh-stock-assistant.git
cd dsh-stock-assistant
pnpm install && pnpm build      # required: builds lib/client.js

# install from a DSH checkout (junction into the source dir: edits are live)
cd <path-to>/deepseek-harness
pnpm dsh plugin --profile web add <path-to>/dsh-stock-assistant

⚠️ The package declares exports["./client"], so lib/client.js MUST exist — otherwise the web boot page reports Failed to load plugins. A prebuilt bundle is committed, so GitHub installs need no manual build.

Usage

Add stocks to the watchlist (via chat tools or the settings section), then:

• Quotes & signals: stock_quote 600000, stock_kline 000001, strategy 300750
• Hotspots: sector_rank, limit_up_pool, dragon_tiger
• Backtests: backtest 600519 strategy ma_cross
• Alerts: watch_start (polls the watchlist every 30 s; alerts on moves, limit up/down and volume spikes), watch_alerts to read the log

Project layout

├── index.js                # host entry: registers 20 tools + settings namespace `stock-assistant`
├── src/                    # data / quant / watch / config (plain ESM JS)
│   ├── eastmoney.js        # Eastmoney HTTP: quotes, sectors, limit-up pool, money flow
│   ├── tencent.js          # Tencent adjusted K-lines
│   ├── akshare.js          # Python subprocess JSON-RPC (dragon-tiger list, financials)
│   ├── quant.js            # 6-strategy backtest + signal dashboard
│   ├── watch.js store.js notify.js
│   └── client/             # settings section (TSX, built with tsdown)
│       └── SettingsCard.tsx
├── py/akshare_adapter.py   # akshare stdin/stdout JSON-RPC
├── lib/client.js           # client bundle (prebuilt, committed)
└── cordis.patch.yml        # plugin mount row

License

MIT

---

dsh-stock-assistant（中文版）

A 股行情 / 热点 / 量化分析助手 —— DeepSeek Harness（DSH）插件。

数据源：东方财富公开接口（行情、板块、涨停池、资金流、新闻）+ 腾讯行情（前复权 K 线）+ akshare（龙虎榜、财务摘要）。

⚠️ 数据来自非官方公开接口，仅供学习研究，不构成投资建议。

功能

注册 20 个模型工具、一个独立设置页 「股票助手」、盯盘告警（会话日志 + Windows 桌面气泡通知）。

分类	工具
行情分析	stock_quote stock_kline stock_indicators strategy
热点	sector_rank sector_flow limit_up_pool dragon_tiger
资金·财务·新闻	stock_flow stock_finance stock_news
量化	screen（多因子条件选股）backtest（6 策略回测）
自选·盯盘	watchlist_add watchlist_remove watchlist_show watch_start watch_stop watch_status watch_alerts

设置页（设置 → 股票助手）可编辑自选股、回测参数、策略参数与盯盘阈值，修改即时生效。

安装

前置依赖：

• Node.js ≥ 18（构建客户端 bundle 需要）
• Python 3 + akshare（仅 dragon_tiger、stock_finance 两个工具需要；pip install akshare）
• Windows：桌面气泡通知仅 Windows 可用（其他平台自动跳过）

方式一：从 GitHub 直接安装

dsh plugin --profile web add github:fxxg023/dsh-stock-assistant

推荐固定到某个 commit（更稳妥）：dsh plugin --profile web add git+https://github.com/fxxg023/dsh-stock-assistant.git#<commit>

方式二：本地开发

git clone https://github.com/fxxg023/dsh-stock-assistant.git
cd dsh-stock-assistant
pnpm install && pnpm build      # 必须构建：生成 lib/client.js

# 从 DSH checkout 安装（junction 直连源码目录，改完即时可见）
cd <path-to>/deepseek-harness
pnpm dsh plugin --profile web add <path-to>/dsh-stock-assistant

⚠️ package.json 声明了 exports["./client"]，必须先 pnpm build 生成 lib/client.js，否则 web 启动页会报 Failed to load plugins。本仓库已提交预构建产物，GitHub 安装无需手动构建。

使用

把股票加入自选（对话里用工具或设置页都行），然后：

• 问行情：stock_quote 600000、stock_kline 000001、strategy 300750
• 看热点：sector_rank、limit_up_pool、dragon_tiger
• 做回测：backtest 600519 strategy ma_cross
• 开盯盘：watch_start（30 秒轮询自选股，异动/涨停/放量告警），watch_alerts 看日志

项目结构

├── index.js                # 宿主入口：注册 20 个工具 + settings 命名空间 stock-assistant
├── src/                    # 数据/量化/盯盘/配置（纯 ESM JS）
│   ├── eastmoney.js        # 东财 HTTP：行情/板块/涨停池/资金流
│   ├── tencent.js          # 腾讯前复权 K 线
│   ├── akshare.js          # Python 子进程 JSON-RPC（龙虎榜/财务）
│   ├── quant.js            # 6 策略回测 + 多空信号
│   ├── watch.js store.js notify.js
│   └── client/             # 设置页（TSX，tsdown 构建）
│       └── SettingsCard.tsx
├── py/akshare_adapter.py   # akshare stdin/stdout JSON-RPC
├── lib/client.js           # 客户端 bundle（已构建，提交进仓库）
└── cordis.patch.yml        # 插件挂载行

License

MIT