股海罗盘 - A股股票量化分析

In A-share investing, investors often face challenges such as unclear signal validity, fragmented data, and difficulty in verifying research report viewpoints. Stock Market Compass addresses these pain points through a self-learning quantitative engine. It conducts over 600,000 historical signal backtests for each stock, attaching a clear historical match rate progress bar to every current signal, making "past accuracy" immediately apparent. This aims to solve the issue of investors blindly trusting single indicators or news.

When using it, users simply input a stock code or name, and the Skill automatically invokes its quantitative engine. It outputs comprehensive data across 17 dimensions—including market quotes, capital flows, technical indicators, and financial metrics—in one go, while also uncovering five types of historical pattern charts, such as support/resistance levels and post-rise/fall probabilities. Additionally, it performs ETF quadrant linkage analysis and conducts coverage statistics and EPS divergence calculations for brokerage research reports, enabling multi-source cross-validation. Finally, it generates a DOCX report with all analysis results and candlestick charts in one click.

This Skill is well-suited for individual investors in the A-share market, quantitative researchers, and financial professionals who need to provide clients with professional analysis reports. It helps users distill effective, historically validated signals from vast and chaotic information, supporting more rational investment decisions.

Users are advised to treat this Skill as an auxiliary tool for investment decisions, not the sole basis. When using it, focus on the "Historical Match Rate" and "Pattern Mining" sections, and make comprehensive judgments considering your own risk tolerance. For generated reports, it is recommended to carefully verify the timeliness of data sources and understand that the backtesting logic is based on historical data and does not guarantee future returns.