Ross ROSS = Recommend OSS · open-source software intelligence for agents

ArvinLovegood/go-stock

🦄🦄🦄AI赋能股票分析:AI加持的股票分析/选股工具。股票行情获取,AI热点资讯分析,AI资金/财务分析,涨跌报警推送。支持A股,港股,美股。支持市场整体/个股情绪分析,AI辅助选股等。数据全部保留在本地。支持DeepSeek,OpenAI, Ollama,LMStudio,AnythingLLM,硅基流动,火山方舟,阿里云百炼等平台或模型。 observed · 2026-08-28

github.com/ArvinLovegood/go-stock · homepage · Go · GPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

84/100

  • Activity 99
  • Release rhythm 87
  • Longevity 44
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 624
  • days_rel: 6
  • days_push: 7
  • n_releases_24m: 397

Full methodology

Adoption not part of the score

7367 stars · 1288 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

A Wails + NaiveUI desktop application that combines stock market data (A-shares, Hong Kong, US markets) with LLM-powered analysis, including AI agents, news sentiment analysis, fund flow analysis, and price alerts. All data is stored locally, and it supports DeepSeek, OpenAI, Ollama, LMStudio, and other LLM platforms.

Use cases

  • analyze stocks with AI
  • get stock price alerts pushed to DingTalk or Feishu
  • screen stocks using AI
  • track A-share and US stock quotes locally
  • analyze market news sentiment with an LLM
  • view candlestick charts with technical drawing tools
  • run AI agents for fund flow and financial analysis

When to choose

  • you want a local-first desktop tool for AI-assisted stock analysis across A-share, HK, and US markets
  • you use local or Chinese LLM providers like Ollama, DeepSeek, or SiliconFlow
  • you need scheduled alerts and push notifications for stock movements

When to avoid

  • you need professional-grade trading or backtesting infrastructure
  • you require a web-based or multi-user deployment
  • you expect guaranteed investment advice - the project explicitly states results are for learning and entertainment only

Facets

application · maturity active

llm-inference agent-framework mcp data-visualization analytics webhook chat-interface fintech artificial-intelligence large-language-models desktop-applications data-visualization windows go cross-platform stock-analysis wails naiveui a-shares hong-kong-stocks us-stocks deepseek ollama openai trading-tools local-data ai-agents macos linux desktop

1 source

Member repositories

RepositoryRoleHealth v2
ArvinLovegood/go-stockmain84

For agents

markdown · JSON · MCP: product_card(name="ArvinLovegood/go-stock")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem