股海罗盘 - A股股票量化分析
A quantitative analysis tool for A-share investment providing historically validated signals.
Install & Use
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Stock Market Compass aims to address three core pain points faced by A-share investors: the difficulty in discerning the validity of indicator signals, fragmented information that's hard to consolidate, and analysis conclusions lacking historical verification. Through its self-learning quantitative engine, it provides over 600,000 historical signal backtests for each stock, transforming the abstract notion of 'accuracy' into a visual historical hit rate progress bar, making the reliability of each signal immediately clear.
To use it, users simply input a stock code or name to instantly obtain comprehensive data across 17 dimensions, including market quotes, capital flows, technical indicators, financials, holdings, share unlock events, and research reports. The system automatically performs ETF Quadrant Linkage Analysis, cross-validates multi-source fund flows, aggregates viewpoints from all market research reports, and mines five types of historical patterns such as support/resistance levels, pullbacks after significant gains, and rebounds after sharp declines. It ultimately generates a one-click DOCX report containing candlestick charts and analytical conclusions.
This tool is particularly suitable for A-share quantitative traders, data analysts, and individual investors with a rigorous need for verified investment decisions. It helps users shift from relying on subjective feelings and experience to depending on objective signals and patterns validated by historical data.
It is recommended that users employ it as an auxiliary verification tool before making investment decisions, rather than as the sole basis for decisions. When using it, focus should be placed on signals with higher historical hit rates, combined with a comprehensive judgment of the current macroeconomic environment. For the pattern mining results in the report, note their statistical probability nature and understand that 'history rhymes but does not repeat simply.'
Key Features
The core differentiator lies in attaching a 'Historical Hit Rate' based on massive backtesting to each analytical signal, visually displaying how many times that signal was accurate out of its last 100 historical occurrences. This solves the problem of traditional tools providing signals without historical verification. Additionally, it uniquely integrates ETF Quadrant Linkage Analysis and cross-validation with viewpoints from all market research reports, providing multi-dimensional corroboration from both capital flow and sentiment perspectives.
Limitations
It is not suitable for scenarios pursuing short-term, high-frequency trading signals or relying entirely on technical indicators for automated trading. Its analysis cycle and report generation are better suited for medium-to-short-term trend研判 (judgment/research) and decision support.
FAQ
How is the Historical Hit Rate calculated?
It is calculated based on the proportion of times the stock price reached the expected movement within a set period (e.g., 3 days, 5 days) after the occurrence of a similar technical or capital flow signal in the stock's history. This proportion is intuitively displayed as a progress bar.
What does the generated DOCX report contain?
The report contains basic stock information, a 17-dimension data summary, historical hit rate charts, five types of pattern maps (e.g., support/resistance test frequency), ETF Quadrant Analysis conclusions, consensus analysis of brokerage research reports, and annotated candlestick charts.
Installation guide for AI assistants
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