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trading-skills

作者 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.

なぜ使うのか

主な機能

ライブデモ

実際の動作

trading-skill-2.replay ▶ 準備完了
0/0

インストール

クライアントを選択

~/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 を開く。保存後、アプリを再起動。

~/.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
    }
  }
}

Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。

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 サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。

~/.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 Desktop と同じ形式。Windsurf を再起動して反映。

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

Continue はマップではなくサーバーオブジェクトの配列を使用。

~/.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_servers に追加。保存時に Zed がホットリロード。

claude mcp add trading-skill-2 -- git clone https://github.com/roman-rr/trading-skills ~/.claude/skills/trading-skills

ワンライナー。claude mcp list で確認、claude mcp remove で削除。

ユースケース

実用的な使い方: trading-skills

How to receive and analyze crypto trading signals

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

使うタイミング: You want to see what trading opportunities the system has identified.

前提条件
  • Trading skill installed — /plugin install roman-rr/trading-skills or claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp
フロー
  1. Check current signals
    What trading signals are active right now? Show me the ones with confidence above 70%.✓ コピーしました
    → 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?✓ コピーしました
    → 2-4 step causal reasoning with specific technical indicators

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

注意点
  • 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

使うタイミング: You want to see historical performance metrics before acting on signals.

前提条件
  • Trading skill installed and running — Install as above
フロー
  1. Review performance
    Show me the trading signal performance for the last 30 days. What's the hit rate, cumulative ROI, and profit factor?✓ コピーしました
    → Performance metrics with per-coin and aggregate statistics

結果: Data-driven understanding of signal reliability.

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

組み合わせ

他のMCPと組み合わせて10倍の力を

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.✓ コピーしました

ツール

このMCPが提供する機能

ツール入力呼び出すタイミングコスト
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

コストと制限

運用コスト

APIクォータ
Served from signals.x70.ai
呼び出しあたりのトークン
300–1000 tokens per signal query
金額
Free during beta — no credit card required
ヒント
Check signals periodically rather than every minute to conserve tokens.

セキュリティ

権限、シークレット、影響範囲

認証情報の保管: N/A — no authentication required during beta
データ送信先: Signal data fetched from signals.x70.ai

トラブルシューティング

よくあるエラーと対処法

No signals available

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

確認: Try with a lower confidence threshold
Server unreachable

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

確認: 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.

確認: Get fresh signals and check timestamps

代替案

trading-skills 他との比較

代替案代わりに使う場面トレードオフ
Manual technical analysisYou prefer to do your own analysis with TradingView or similar toolsFull control but no AI automation

その他

リソース

📖 GitHub の公式 README を読む

🐙 オープンな issue を見る

🔍 400以上のMCPサーバーとSkillsを見る