Senior Stock Value Analyst
A-shares: fundamentals, valuation, technicals
Senior Stock Value Analyst
A-shares: fundamentals, valuation, technicals
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Description
Like a top professional investment analyst, this skill analyzes A-share investment value in depth. From fundamentals and valuation to technical analysis, it generates a structured report with one click to help you make precise decisions.
Recommended by
nene@YouMind
Why we love this skill
Delivers a professional A-share investment value report through integrated fundamental, valuation, and technical analysis, helping you identify quality targets and time your trades.
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Stock Valuation Analysis
The two biggest fears in stock investing are buying a bad company and overpaying for a good one. Many investors, when they get a stock, first check its PE and PB ratios, compare them with peers, and draw conclusions—this is the biggest misconception in valuation. • 📝 Focusing only on numbers, not the company: Is a low PE always cheap? A low PE for a cyclical stock at the peak of its cycle can actually be a trap; for a growth stock, a high PE isn't necessarily expensive. With the wrong yardstick, you can't measure correctly. • 🤔 Discussing valuation without considering the industry: A contract manufacturer and a tech platform may both have a PE of 20, but their meanings are vastly different. Without first understanding the industry ceiling and business model, any valuation number is a castle in the air. • 📉 Ignoring value traps: A low valuation could be a sign of fundamental deterioration, not an investment opportunity. If the company quality is poor, no matter how 'cheap' it looks, it could still be a trap. • 🎯 Overlooking expectation gaps: Stock price movements don't depend on the absolute level of performance, but on the relative difference between performance and market expectations. If profits rise 30% but the market expected 50%, the stock can still fall. • 📊 Being too precise in valuation can itself be a mistake: Valuation is a range, not an exact number. Better to be roughly right than precisely wrong. This skill is designed to solve these problems. It is based on the 'Five-Step Valuation Method' framework and uses a systematic five-step process that cannot be skipped. It guides you from company type, industry ceiling, company quality, growth logic, and price expectations, progressing step by step to complete a full, professional individual stock valuation analysis. Finally, it outputs a structured valuation report and a downloadable PDF file. It applies to A-shares, Hong Kong stocks, and U.S. stocks.
Stock Investment Advisor
An AI stock investment analysis advisor based on a five-dimensional analysis framework (fundamentals, capital flow, technicals, sentiment, and news). Supports A-shares, Hong Kong stocks, and US stocks. Provides multi-dimensional cross-validation, risk warnings, and comprehensive assessment reports.
ResearchMulti-Agent: A-Share Pick & IC
It's not an AI assistant, but a virtual investment research team. Common AI stock-picking tools suffer from three problems: fabricating financial figures and target prices, giving vague "bullish/bearish" remarks, and offering "buy" recommendations without clear reasoning. The Multi-Agent Investment Research Team tackles these with a three-pronged approach: 6 parallel roles, cross-validation, and mandatory source attribution. It convenes researchers, fundamental analysts, technical analysts, sentiment analysts, risk officers, and investment managers to work in parallel, deliberating like a real investment committee. What you get is not fuzzy opinions, but a professional research document with facts, signals, disagreements, risks, and every number traceable to its source. Two modes covering "researching a single stock" and "screening a batch of stocks" Mode A: Single-Stock Committee Deep Analysis — Just provide a stock (e.g., "Analyze BYD 002594"), and the skill automatically convenes a full investment committee: the researcher aggregates market data, financial reports, research reports, and industry chain positioning, presenting only objective facts; the fundamental analyst issues a financial health scorecard, key changes in the three financial statements, and PEG valuation; the technical analyst evaluates trends, moving averages, MACD, support and resistance levels, and provides a five-point buy signal hit table; the sentiment analyst scans institutional divergence, retail investor sentiment, and potential misinterpretations; the risk officer digs up counter-evidence, systematically refuting optimistic conclusions from other roles; finally, the investment manager, without adding new data, integrates everything to produce committee minutes and a one-page summary. Mode B: Multi-Condition Stock Screening — From a specified universe (e.g., CSI 300, a sector/theme basket, or your own stock pool), apply a three-layer funnel: L1 financial hard screen (three consecutive quarters of growth, ample cash flow, PEG<1 or huge increase in contract liabilities), L2 technical timing (base breakout, moving average golden cross, volume breakout, strong pullback on low volume, MACD crossing above zero line), L3 information validation (research report ratings and industry chain logic, eliminating "pure technical without fundamental basis" picks). After obtaining a candidate list, the top N stocks can automatically proceed to Mode A for deep analysis. What you will get Mode A delivers a fixed "five-piece set": ① Full analysis report integrating all six roles; ② Data source and evidence table, with each key conclusion mapped to "data → source → date"; ③ Meeting-style committee minutes (agenda → each role's view → disagreements → consensus → variables to track); ④ Risk list sorted by high/medium/low severity; ⑤ One-page investment manager summary condensing core logic, key variables, verification points, and confidence level. Mode B delivers: Candidate stock list table (ticker | name | triggered conditions | key data | source | trigger date) plus screening criteria and methodology description, optionally with the full five-piece set for top candidates. All outputs are saved as files with ticker and date in the filename for easy reuse and archiving.
Information
- Version
- v3
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
