yicunai/pnlclaw-community/indicator-guide

Claude Code and agent skill by yicunai/pnlclaw-community

Trust tier 3
  • community
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Checking that the SKILL.md file is still in the repository.

Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations

Install

npx vskill@latest install yicunai/pnlclaw-community/indicator-guide

SKILL.md

Indicator Guide

Description

Explains common technical indicators (SMA, EMA, RSI, MACD) with quantitative intuition and example calculations.

Triggers

  • "What is the difference between SMA and EMA?"
  • "How do I interpret RSI and MACD together?"

Steps

  1. Ask which indicators and timeframe matter for the user's strategy style.
  2. Define each indicator: formula idea, smoothing behavior, and typical range.
  3. Give a small numeric toy example (e.g. five closes → SMA vs EMA weighting).
  4. Relate signals to strategy design (crossovers, divergence, overbought/oversold) without recommending specific trades.

Tools Used

  • market_kline: Optional OHLCV context when the user wants a concrete worked example on a symbol.

Example Interaction

User: Explain MACD in simple terms with numbers. Agent: MACD compares a fast and slow EMA of price, then smooths their difference (signal). For example, if fast EMA is 102 and slow EMA is 100, the MACD line is about +2; the signal line is an EMA of that series. Crossovers and histogram slope are common signal building blocks—always validate on your interval and costs.

Notes

  • This skill is educational; quantitative examples should use hypothetical or cited bars, not investment advice.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
197
Repository forks
31
7-day trend score
26

Stars and forks are for the whole GitHub repository, not this skill alone. Refreshed 24 Aug 2026, 2 months ago.

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