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# Quantitative Analysis Skill

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:

1. Current price and trend summary
2. Key indicator readings
3. Trading signal with confidence level
4. 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