Build a Real‑Time Go Stock Analyzer with WebSocket & Vue Frontend

System Overview

The Go Stock Analyzer 3.0 adds four market sectors (Main Board, ChiNext, STAR, Sci‑Tech), a persistent watchlist, scheduled daily strategy analysis, real‑time market data push via WebSocket, and per‑stock K‑line charts with overlayed technical indicators.

Architecture

go-stock-analyzer/
├── backend/
│   ├── fetcher/      # Stock data fetching (list, daily K, real‑time)
│   ├── storage/      # SQLite persistence
│   ├── strategy/     # Strategy modules (MA, MACD, DSL, etc.)
│   ├── scheduler/    # Daily 15:00 scheduled analysis
│   ├── realtime/     # WebSocket real‑time market push
│   ├── web/          # Gin Web API
│   └── main.go
└── frontend/
    ├── views/
    │   ├── BoardView.vue      # Sector‑wise stock browsing
    │   ├── StockPoolView.vue  # Watchlist management
    │   ├── KlineModal.vue     # Stock K‑line popup
    │   └── RealtimeView.vue  # Real‑time market page
    └── App.vue / main.ts

Startup Logic

On launch the application checks whether the SQLite database already contains stock data. If the database is empty, it fetches the full list of A‑shares from the Sina Finance API and stores only the four defined sectors.

func classifyBoard(symbol, code string) string {
    if strings.HasPrefix(symbol, "sh") {
        if strings.HasPrefix(code, "688") { return "科创板" }
        if strings.HasPrefix(code, "6")   { return "上证主板" }
    }
    if strings.HasPrefix(symbol, "sz") {
        if strings.HasPrefix(code, "300") || strings.HasPrefix(code, "301") { return "创业板" }
        if strings.HasPrefix(code, "000") { return "深证主板" }
    }
    return ""
}

Watchlist & Scheduled Strategy Analysis

Users add individual stocks to a watchlist via the front‑end. Every day at 15:00 the backend triggers StartDailyTask, reads the watchlist, and runs selected strategies such as MA, MACD, and custom DSL cross‑overs.

func StartDailyTask() {
    for {
        next := nextTriggerTime(15, 0)
        time.Sleep(time.Until(next))
        runAnalysis() // reads watchlist as strategy input
    }
}

Analysis results are saved back to SQLite and can be viewed in the web UI as historical selection records.

Real‑Time Market & WebSocket Push

The real‑time module polls Sina's live API and broadcasts the latest tick data to connected clients using a hub‑based WebSocket server.

// Client subscription example
{ "action": "subscribe", "symbols": ["sz000001", "sh600000"] }

// Server push example
{ "code": "sz000001", "name": "平安银行", "price": 10.23, "time": "14:58:00" }

The hub supports multiple client subscriptions and streams data per stock code.

K‑Line & Indicator Calculation

Daily K‑line data are fetched automatically, and technical indicators such as MA5/10/20/30 and MACD (DIF, DEA, MACD) are computed and stored.

type KLine struct {
    Code, Date string
    Open, Close, High, Low, Volume float64
    MA5, MA10, MA20, MA30 float64
    DIF, DEA, MACD float64
}

The front‑end uses ECharts to render interactive K‑line charts with overlayed indicator lines inside a modal window.

Front‑End Feature Summary

Sector stock list: browse by sector and add stocks to the watchlist with one click.

Watchlist page: view saved stocks and open their K‑line charts.

Stock detail page: shows basic info and daily K‑line chart.

Running the Application

# Start backend
cd backend
go mod tidy
go run main.go

# Start frontend
cd frontend
npm install
npm run dev

Open a browser and navigate to http://localhost:5173 to access the UI.

Future Roadmap

Multi‑user system with authentication and isolated watchlists.

Combine real‑time tick chart with daily K‑line for dynamic visualization.

Historical back‑testing and strategy optimization module.

Strategy extensions based on market sentiment, index correlation, and volume‑price relationships.

Open‑Source Repository

GitHub project repository: https://github.com/louis-xie-programmer/go-stock-analyzer