AgentSkillsCN

momentum-signals

利用随机振荡指标分析动量信号与背离现象

SKILL.md
--- frontmatter
name: momentum-signals
description: Analyze Stochastic oscillator for momentum signals and divergences
allowed-tools: stochastic_analysis_tool get_historical_prices
metadata:
  domain: technical
  complexity: intermediate

Momentum Signals Workflow

OBJECTIVE: Assess momentum health and identify potential reversals.

Step 1: Get Stochastic Readings

  • Use stochastic_analysis_tool for current %K and %D values
  • Default settings: K=14, D=3

Step 2: Classify Zone

  • OVERBOUGHT: %K > 80 (price may be extended, watch for reversal)
  • OVERSOLD: %K < 20 (price may be depressed, watch for bounce)
  • NEUTRAL: 20 < %K < 80 (no extreme)

Step 3: Check Crossovers

  • BULLISH CROSSOVER: %K crosses above %D (buy signal)
  • BEARISH CROSSOVER: %K crosses below %D (sell signal)
  • NO CROSSOVER: Watch for setup

Step 4: Divergence Check

  • BULLISH DIVERGENCE: Price makes lower low, but %K makes higher low
  • BEARISH DIVERGENCE: Price makes higher high, but %K makes lower high
  • These are powerful reversal signals

Output Format

Stochastic: %K={value}, %D={value} Zone: [OVERBOUGHT/OVERSOLD/NEUTRAL] Signal: [BULLISH CROSSOVER/BEARISH CROSSOVER/NONE] Divergence: [YES - TYPE/NONE DETECTED] Interpretation: [Actionable assessment]