# 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。

Repository: https://github.com/ArvinLovegood/go-stock
Canonical: https://ross.abutalabs.com/products/go-stock
Homepage: https://go-stock.sparkmemory.top
Language: Go
License: GPL-3.0
License Family: copyleft
Topics: stock, golang, naiveui, wails, deepseek, lmstudio, ollama, openai, ai-tools
Last push: 2026-08-26T16:47:22+00:00

## Health v2 (maintenance only)
Score: 84/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 99, release rhythm 87, longevity 44
- inputs: {"age_days": 624, "days_push": 7, "days_rel": 6, "gap_med": 0.0, "n_releases_24m": 397}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 7367, forks 1288 (observed 2026-08-28T04:09:58.531710+00:00)

## What it is
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
- artifact type: application
- maturity: active
- function: llm-inference, agent-framework, mcp, data-visualization, analytics, webhook, chat-interface
- domain: fintech, artificial-intelligence, large-language-models, desktop-applications, data-visualization
- platform: windows, go, cross-platform
- tags: stock-analysis, wails, naiveui, a-shares, hong-kong-stocks, us-stocks, deepseek, ollama, openai, trading-tools, local-data, ai-agents, macos, linux, desktop

## Member repositories
- ArvinLovegood/go-stock (main) score 84

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:58.531710+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:38:24.132622+00:00, confidence not recorded.
  - readme: https://github.com/ArvinLovegood/go-stock (fetched 2026-08-28T04:09:58.531710+00:00, sha 3ce98069cd12)
- Data as of 2026-08-30T08:39:29.467469+00:00.