go-stock is an AI-enabled stock analysis tool built with Wails and NaiveUI that combines large language models with market data. It supports A-share, Hong Kong, and US stock quotes, along with exchange-traded fund (ETF) search, fund watchlists, and fund rankings. The project states that data is kept entirely on the local machine. The tool includes built-in AI agents in three modes (React, PlanExecute, and DeepAgents), more than 150 AI data tools, a skill system, MCP extensions, and a floating AI assistant, and it supports visual understanding for image-based conversations such as screenshot-based stock questions and K-line chart analysis. It can connect to many model platforms or models, including DeepSeek, OpenAI, Ollama, LMStudio, AnythingLLM, SiliconFlow, Volcano Ark, and Alibaba Cloud Bailian. Charting and market-monitoring
include K-line analysis with adjustment switching, wave theory, measurement boxes, 13 drawing tools, volume profile, TD Sequential, and automatic divergence detection, plus intraday and tick-by-tick trades, call auction data, and individual stock capital flow. The project also aggregates market news and ministry policy news, identifies Dragon-Tiger List and hot-money movements, provides limit-up tiers, anomaly monitoring, a knowledge base with long-term memory, daily operation plans, trading logs, and scheduled alerts pushed to Feishu or DingTalk. A review strategy system covers daily review, pre-market strategy, prompt template backtesting, and recommendation backtesting statistics. The project describes itself as for entertainment only and notes that AI stock analysis results are for study and research only, with investment risk requiring caution.

Users use go-stock to follow A-share, Hong Kong, and US stock quotes together with ETF search and fund rankings in one desktop tool.
Users use go-stock to perform K-line technical analysis with adjustment switching, wave theory, drawing tools, volume profile, TD Sequential, and automatic divergence detection.
Users use go-stock to run AI-assisted stock screening and market or individual stock sentiment analysis.
Users use go-stock to aggregate market news, ministry policy news, Dragon-Tiger List and hot-money movements, limit-up tiers, and anomaly monitoring.
Users use go-stock to run a review strategy workflow covering daily review, pre-market strategy, prompt template backtesting, and recommendation backtesting statistics.
Users use go-stock to connect local or hosted model platforms such as DeepSeek, OpenAI, Ollama, LMStudio, and others for analysis.
Users use go-stock to ask questions about stocks using images, such as screenshots or K-line chart images, through image conversation.
Users use go-stock to receive scheduled alerts and notifications pushed to Feishu or DingTalk.
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