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trading_skills

제작: staskh · staskh/trading_skills

An options-trading advisor skill — Claude structures thesis, checks Greeks, and surfaces risk before you hit send.

trading_skills turns Claude into a disciplined options-trading co-pilot: you state a thesis, the skill walks you through structuring the trade (strategy choice, strike/expiry selection), checks Greeks and expected move, and flags risks. It does not give financial advice or execute orders — it's a checklist and reasoning partner so you don't trade on vibes.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

trading-skill.replay ▶ 준비됨
0/0

설치

클라이언트 선택

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/staskh/trading_skills",
        "~/.claude/skills/trading_skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config 열기. 저장 후 앱 재시작.

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/staskh/trading_skills",
        "~/.claude/skills/trading_skills"
      ],
      "_inferred": true
    }
  }
}

Cursor는 Claude Desktop과 동일한 mcpServers 스키마 사용. 프로젝트 설정이 전역보다 우선.

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/staskh/trading_skills",
        "~/.claude/skills/trading_skills"
      ],
      "_inferred": true
    }
  }
}

Cline 사이드바의 MCP Servers 아이콘 클릭 후 "Edit Configuration" 선택.

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "trading-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/staskh/trading_skills",
        "~/.claude/skills/trading_skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "trading-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/staskh/trading_skills",
        "~/.claude/skills/trading_skills"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json
{
  "context_servers": {
    "trading-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/staskh/trading_skills",
          "~/.claude/skills/trading_skills"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add trading-skill -- git clone https://github.com/staskh/trading_skills ~/.claude/skills/trading_skills

한 줄 명령. claude mcp list로 확인, claude mcp remove로 제거.

사용 사례

실전 활용법: trading_skills

How to structure an options trade from a thesis

👤 Self-directed options traders ⏱ ~25 min advanced

언제 쓸까: You have a directional or volatility view and want to express it cleanly.

사전 조건
  • Python with numpy/scipy for option math — pip install numpy scipy
  • Skill cloned — git clone https://github.com/staskh/trading_skills ~/.claude/skills/trading_skills
흐름
  1. State the thesis
    Thesis: SPY moves modestly higher over the next 21 days; IV is elevated. What strategy fits?✓ 복사됨
    → A ranked list of suitable strategies with tradeoffs
  2. Pick strikes
    Given current SPY at $X and IV Y, propose a bull put spread. Show Greeks at entry and at expiry edges.✓ 복사됨
    → Strike selection + Greeks table
  3. Risk check
    What's max loss, breakeven, POP, and how do I manage if it goes wrong?✓ 복사됨
    → Explicit numbers + adjustment plan

결과: A fully-shaped trade you understand before placing it.

함정
  • Trade size too large for account — Skill prompts 1–2% risk-per-trade discipline; re-ask with account size
  • Ignoring earnings/events — Always verify there's no event inside the tenor
함께 쓰기: filesystem

Check your overall portfolio Greeks before adding a trade

👤 Multi-position traders ⏱ ~15 min advanced

언제 쓸까: You've got several positions and want to know if a new trade adds diversifying or concentrated exposure.

흐름
  1. Summarize current portfolio
    Here's my open positions. Compute total delta/vega/theta exposure.✓ 복사됨
    → Aggregated Greeks
  2. Evaluate the proposed add
    If I add this new position, how do the aggregate Greeks change?✓ 복사됨
    → Before/after Greek table

결과: A more informed sizing / structuring decision.

함정
  • Ignoring correlations across underlyings — Treat SPY, IWM, QQQ as correlated; don't count them as independent diversification

조합

다른 MCP와 조합해 10배 효율

trading-skill + yahoo-finance

Pull live quotes and option chains to feed the skill

Get SPY option chain for the next 21-DTE expiry and pick strikes for a 1-delta-short bull put spread.✓ 복사됨
trading-skill + tradingview

Pair chart analysis with options structuring

Check the SPY weekly chart first, then structure the trade.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
strategy-selection thesis + market context Step 1 of any trade 0
greeks-calculator option legs After structuring Python compute
risk-check trade + account size Before placing any trade 0
portfolio-aggregation position list Multi-position analysis 0

비용 및 제한

운영 비용

API 쿼터
none beyond market-data provider
호출당 토큰
3–10k per trade analysis
금액
free at skill level
Use cached / delayed quotes for analysis; live only at order entry

보안

권한, 시크릿, 파급범위

자격 증명 저장: never paste brokerage credentials; the skill doesn't need them
데이터 외부 송신: none beyond user-configured market-data tools
절대 부여 금지: order execution permission

문제 해결

자주 발생하는 오류와 해결

Greeks don't match broker

Different pricing models/IV sources diverge; treat skill output as directional, not tick-precise.

Numerical errors on deep ITM options

Check for dividend/early-exercise adjustments; the model may not cover American exercise.

대안

trading_skills 다른 것과 비교

대안언제 쓰나단점/장점
agent-trade-kitYou want an automation-capable framework, not just advisoryMore powerful, more risk
tradingviewYou need chart-driven TA over options structuringDifferent tool domain

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리소스

📖 GitHub에서 공식 README 읽기

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