name: quant-analysis
version: 1.0.0
description: AI-powered stock analysis with technical indicators, trend detection, and trading signal generation. Triggered when user asks to analyze a stock, check market conditions, or evaluate trading signals.
layer: domain
lifecycle: operations
tags: [quant, analysis, stock, technical-indicators, trading]
platforms: [khy-quant, claude-code]
maintainers:
- khy-qqb
Quantitative Analysis Skill#
Analyze stocks and generate trading signals using technical indicators.
When to Activate#
- User asks to analyze a specific stock (e.g., "analyze 000001", "分析贵州茅台")
- User asks about market trends or conditions
- User requests trading signal evaluation
- User mentions technical indicators (MA, RSI, MACD, KDJ, BOLL)
Analysis Pipeline#
Step 1: Data Retrieval#
Fetch recent K-line data (daily, 60min) via the data service.
Required fields: open, high, low, close, volume, turnover.
Step 2: Technical Indicator Calculation#
Calculate the following indicators:
- MA: 5, 10, 20, 60 day moving averages
- RSI: 6, 12, 24 period relative strength index
- MACD: DIF, DEA, histogram
- KDJ: K, D, J values
- BOLL: upper, middle, lower bands
- Volume: volume MA comparison, volume-price divergence
Step 3: Signal Generation#
Based on indicator values, generate:
- Trend direction (bullish / bearish / neutral)
- Signal strength (strong / moderate / weak)
- Key support and resistance levels
- Risk assessment
Step 4: Output Format#
Present results as a structured analysis report:
- Current price and trend summary
- Key indicator readings
- Trading signal with confidence level
- Risk warnings
Constraints#
- Never provide specific buy/sell advice or price targets
- Always include risk disclaimers
- Data delay acknowledgment for real-time analysis
- Chinese market hours: 09:30-15:00 CST