股海罗盘 - A股股票量化分析
A quantitative analysis tool for A-share investments with historically validated signals.
Install & Use
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GuHai Compass is a self-learning quantitative analysis tool designed specifically for the A-share market. It addresses the core pain point for investors: the difficulty in judging the historical effectiveness of vast amounts of indicators and signals. By backtesting over 600,000 historical signals for each stock, it attaches an intuitive "Historical Match Rate" progress bar to current signals, making it immediately clear how accurate they were in the past. This helps users avoid traps where signals "look accurate but lead to losses upon investment."
In terms of usage, users simply input a stock code or name, and GuHai Compass automatically activates its quantitative engine. This engine not only outputs comprehensive data across 17 dimensions (covering market quotes, capital flows, technicals, fundamentals, etc.), eliminating the need to switch between different software, but also uniquely performs ETF Four-Quadrant Linkage Analysis and cross-validates brokerage research report viewpoints to deeply explore sector resonance and market consensus. Furthermore, it can generate a DOCX report with K-line charts and analytical conclusions with one click, facilitating saving and sharing.
This tool is ideal for A-share quantitative traders who need data-driven decision support, experienced individual investors seeking to validate their investment logic, and financial professionals who need to provide clients with professional analysis reports. It is particularly suitable for users tired of subjective judgment and looking to "insure" their investment decisions with historical data.
It is recommended that users treat it as a "stress test" tool before making investment decisions, rather than a source of fully automated trading signals. When using it, focus on signals with a higher "Historical Match Rate" and combine them with the "5 Types of Pattern Maps" (e.g., number of support/resistance tests, probability of pullback after a sharp rise) to understand the market behavior patterns behind the signals. Note that all analysis is based on historical data and does not guarantee future returns; market risks are borne by the user.
Key Features
The core differentiator lies in providing a quantified "Historical Match Rate" backtest result for every technical analysis signal, and uniquely integrating ETF Four-Quadrant Linkage Analysis with consensus statistics from brokerage research reports across the entire market. This elevates signal validation from the realm of "intuition" to the level of "data-driven evidence."
Limitations
The tool is primarily based on backtesting and pattern mining of historical data. It is not suitable for scenarios pursuing real-time high-frequency trading or requiring predictions of sudden policy changes or black swan events.
FAQ
How is the Historical Match Rate calculated?
It is calculated by statistically analyzing the probability that similar historical signals for the stock achieved the expected price movement within a subsequent specific period (e.g., 1 day, 5 days). The result is presented intuitively as a percentage and a progress bar.
What does the generated report include?
The report includes the current K-line chart, a summary of 17-dimensional key data, Historical Match Rate results, core findings from the 5 Types of Pattern Maps, and analytical conclusions from ETF linkage and research report consensus analysis.
Installation guide for AI assistants
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