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fxxg023 /

fxxg023/dsh-stock-assistant

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AI股票助手:实现A股行情分析、条件选股、股票回测(目前仅6种策略)等功能,东方财富+akshare数据源

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READMESource: main@cd7dd53d

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 21 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
Personality & strategy stock_profile (stock personality recognition + strategy matching + auto backtest)
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; edits apply after clicking Save (bottom-right), and Initialize restores all defaults. Strategy parameters are grouped under per-strategy headings (e.g. "RSI 超卖反弹 / RSI mean reversion").

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
  • Personality first: stock_profile 600000 (recognizes the stock's character and recommends matched strategies, with backtests)
  • 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 21 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
│   ├── profile.js          # stock personality recognition + strategy matching
│   ├── 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 21 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
股性识别 stock_profile(股性识别 + 策略匹配 + 自动回测推荐策略)
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;修改后点右下角「保存」生效,「初始化」恢复全部默认值。策略参数按策略分组显示(如「RSI 超卖反弹」小标题)。

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
  • 先看股性:stock_profile 600000(识别股性并推荐匹配策略,附带自动回测对比)
  • 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 21 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
│   ├── profile.js          # 股性识别 + 策略匹配
│   ├── 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

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