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trading-skills

제작: roman-rr · roman-rr/trading-skills

Live crypto trading signals for AI agents — 17 triggers, 44 algorithms, 3 AI experts with consensus scoring. Free during beta.

trading-skills provides live cryptocurrency trading signals for Claude Code, Codex, Cursor, and 30+ AI agents. The system scans 50+ perpetual markets every minute using 17 triggers across 6 groups, with 44 scientific algorithms backed by 53 academic citations. Three AI experts independently analyze opportunities and require consensus before issuing signals with confidence scores, entry points, stop-losses, and take-profit targets.

왜 쓰나요

핵심 기능

라이브 데모

실제 사용 모습

trading-skill-2.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-2": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/roman-rr/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-2": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/roman-rr/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-2": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/roman-rr/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-2": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/roman-rr/trading-skills",
        "~/.claude/skills/trading-skills"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop과 같은 형식. Windsurf 재시작 후 적용.

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "trading-skill-2",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/roman-rr/trading-skills",
        "~/.claude/skills/trading-skills"
      ]
    }
  ]
}

Continue는 맵이 아닌 서버 오브젝트 배열 사용.

~/.config/zed/settings.json
{
  "context_servers": {
    "trading-skill-2": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/roman-rr/trading-skills",
          "~/.claude/skills/trading-skills"
        ]
      }
    }
  }
}

context_servers에 추가. 저장 시 Zed가 핫 리로드.

claude mcp add trading-skill-2 -- git clone https://github.com/roman-rr/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 receive and analyze crypto trading signals

👤 Crypto traders who want AI-analyzed market signals ⏱ ~10 min beginner

언제 쓸까: You want to see what trading opportunities the system has identified.

사전 조건
  • Trading skill installed — /plugin install roman-rr/trading-skills or claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp
흐름
  1. Check current signals
    What trading signals are active right now? Show me the ones with confidence above 70%.✓ 복사됨
    → List of active signals with coin, direction, confidence, entry, SL, TP
  2. Analyze the reasoning
    Explain the transmission chain for the top signal. What data points led to this recommendation?✓ 복사됨
    → 2-4 step causal reasoning with specific technical indicators

결과: Understanding of current market opportunities with AI-backed analysis.

함정
  • Treating signals as guaranteed trades — Always do your own research. Signals are analytical tools, not financial advice.

Track trading signal performance and optimize strategy

👤 Traders evaluating the system's accuracy over time ⏱ ~5 min beginner

언제 쓸까: You want to see historical performance metrics before acting on signals.

사전 조건
  • Trading skill installed and running — Install as above
흐름
  1. Review performance
    Show me the trading signal performance for the last 30 days. What's the hit rate, cumulative ROI, and profit factor?✓ 복사됨
    → Performance metrics with per-coin and aggregate statistics

결과: Data-driven understanding of signal reliability.

함정
  • Past performance doesn't guarantee future results — Use paper trading to validate before risking real capital

조합

다른 MCP와 조합해 10배 효율

trading-skill-2 + filesystem

Log signals and performance data to files for your own analysis

Log all signals from today with their reasoning chains to ~/trading/signals-2025-04-14.json.✓ 복사됨

도구

이 MCP가 노출하는 것

도구입력언제 호출비용
get_signals min_confidence?: float Get current active trading signals 0
get_performance period?: str Get historical signal performance 0
get_signal_detail signal_id: str Get the full reasoning chain for a specific signal 0

비용 및 제한

운영 비용

API 쿼터
Served from signals.x70.ai
호출당 토큰
300–1000 tokens per signal query
금액
Free during beta — no credit card required
Check signals periodically rather than every minute to conserve tokens.

보안

권한, 시크릿, 파급범위

자격 증명 저장: N/A — no authentication required during beta
데이터 외부 송신: Signal data fetched from signals.x70.ai

문제 해결

자주 발생하는 오류와 해결

No signals available

Signals are only generated when all 3 AI experts reach consensus. During quiet markets, fewer signals appear.

확인: Try with a lower confidence threshold
Server unreachable

Verify signals.x70.ai is accessible. Check your network connection.

확인: curl https://signals.x70.ai/mcp
Signal seems stale

Signals update every minute. If a signal is old, it may have expired. Check the timestamp.

확인: Get fresh signals and check timestamps

대안

trading-skills 다른 것과 비교

대안언제 쓰나단점/장점
Manual technical analysisYou prefer to do your own analysis with TradingView or similar toolsFull control but no AI automation

더 보기

리소스

📖 GitHub에서 공식 README 읽기

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