股海罗盘 - A股股票量化分析

Stock Compass is a self-learning quantitative analysis tool designed for A-share investors, addressing the pain points of "inaccurate signals, scattered data, and hard-to-verify information" in investment decisions. By backtesting over 600,000 historical signals for each stock, it attaches a historical match rate to every technical indicator or trading signal, letting you clearly know "how many times it was correct out of the past 100 occurrences," helping you avoid blindly following trends.

Usage is straightforward: simply enter a stock code or name, and the system automatically pulls 17 dimensions of comprehensive data, including market quotes, capital flows, technical indicators, financial data, holdings changes, lock-up expirations, and research reports—no need to switch between multiple platforms. Additionally, the exclusive ETF four-quadrant linkage analysis identifies sector resonance versus independent market movements, while the cross-validation feature for brokerage research reports helps you discern the authenticity of market consensus. Upon completing the analysis, generate a DOCX report with K-line charts in one click, ready to save, share, or send to clients.

It suits quantitative traders, short-term investors, stock analysts, and retail investors who need to quickly verify trading signals. It is particularly beneficial for investors who rely on technical indicators but are concerned about uncertain historical success rates. For value investors who prefer fundamental, long-term holdings, this tool can serve as a supplementary reference but is not the primary reliance.

It is recommended to familiarize yourself with basic quantitative analysis concepts, such as historical backtesting and match rates, before use. Note that backtested signals are based on historical data and do not guarantee future returns, especially for stocks with insufficient historical data, such as newly listed stocks or those after major restructurings. Combining the tool's insights with human judgment is advised to avoid decisions based solely on single signals.