Go-Stock: An AI Stock Analysis Tool Built with Wails and NaiveUI 118

What is Go-Stock?

Go-Stock is an AI stock analysis tool built with NaiveUI and Vue on the frontend and developed in Go on the backend, supporting data analysis for A-shares, Hong Kong stocks, and U.S. stocks. By integrating large AI models, it provides sentiment analysis, candlestick technical indicator interpretation, in-depth single-stock analysis, and multi-turn conversation capabilities, helping investors make more precise investment decisions. It also supports fund valuation and U.S. stock data.

Go-Stock Features

• Quotes Retrieval: Supports real-time retrieval of watchlist quotes, covering A-shares, Hong Kong stocks, and U.S. stocks.

• AI Fundamental Analysis of Stocks: Combines multiple dimensions such as financial data, industry trends, and market sentiment to provide investment suggestions.

• Cost & Profit/Loss Display: Clearly displays the cost and profit/loss situation of stocks.

• AI Stock Sentiment Analysis: Go-Stock integrates large models such as OpenAI and DeepSeek to provide overall market sentiment analysis and individual stock news sentiment judgments, helping investors gain a more comprehensive understanding of market trends.

• Fund Valuation: Monitors fund net value and valuation data in real time, facilitating asset allocation.

• Candlestick Technical Indicator Analysis: Supports visual analysis of daily candlesticks, intraday charts, trading volume, etc., combined with AI interpretation of key signals.

• Alert Notifications: Supports price increase/decrease alert notifications, which can be pushed via DingTalk.

• Customizable AI Analysis Question Templates: Users can customize the way AI questions are asked based on their own needs, and multi-turn conversations are supported.

• Data Security: All data is kept locally, ensuring user privacy and security.

Go-Stock Supported Platforms & Models

• Supported Platforms: Primarily developed based on Windows 10+; other platforms have not been tested or have limited functionality.

• Supported Models: Supports platforms or models such as DeepSeek, OpenAI, Ollama, LMStudio, AnythingLLM, SiliconFlow, Volcano Ark, and Alibaba Cloud Bailian.

Go-Stock Advantages

• Combined with large AI models, supports sentiment analysis and individual stock Q&A.

• Comprehensive market coverage, supporting A-shares, Hong Kong stocks, and U.S. stocks, with plans to expand to ETFs, funds, etc. in the future.

• Powerful candlestick technical analysis capabilities, combined with AI to identify market trends.

• Multi-turn conversational interaction; users can continue asking questions after AI analysis to optimize investment strategies.

• Customizable AI analysis templates, allowing adjustment of analysis dimensions based on individual needs.

• Integrated with Tushare big data to obtain high-quality financial data.

Go-Stock Use Cases

• Quantitative Trading Enthusiasts: Users who want to use AI to improve stock analysis efficiency.

• Investment Decision Makers: Institutions and individual investors who wish to leverage data-driven decision making.

• Data Analysts: Professionals who focus on financial data and market trends.

• Technical Developers: Programmers who wish to explore AI applications under the Wails and NaiveUI frameworks.

Github:https://github.com/ArvinLovegood/go-stock

Project Homepage:https://go-stock.sparkmemory.top/