/ 目錄 / 演練場 / trading-skills
● 社群 roman-rr ⚡ 即開即用

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.

為什麼要用

核心特性

即時演示

實際使用效果

trading-skill-2.replay ▶ 就緒
0/0

安裝

選擇你的客戶端

~/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
    }
  }
}

開啟 Claude Desktop → Settings → Developer → Edit Config。儲存後重啟應用。

~/.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 使用與 Claude Desktop 相同的 mcpServers 格式。專案級設定優先於全域。

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
    }
  }
}

點擊 Cline 側欄中的 MCP Servers 圖示,然後選 "Edit Configuration"。

~/.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
    }
  }
}

格式與 Claude Desktop 相同。重啟 Windsurf 生效。

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

Continue 使用伺服器物件陣列,而非映射。

~/.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"
        ]
      }
    }
  }
}

加入 context_servers。Zed 儲存後熱重載。

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

一行命令搞定。用 claude mcp list 驗證,claude mcp remove 移除。

使用場景

實戰用法: trading-skills

How to receive and analyze crypto trading signals

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

何時使用: You want to see what trading opportunities the system has identified.

前置條件
  • Trading skill installed — /plugin install roman-rr/trading-skills or claude mcp add trading-signals --transport http -- https://signals.x70.ai/mcp
步驟
  1. Check current signals
    What trading signals are active right now? Show me the ones with confidence above 70%.✓ 已複製
    → 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?✓ 已複製
    → 2-4 step causal reasoning with specific technical indicators

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

注意事項
  • 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

何時使用: You want to see historical performance metrics before acting on signals.

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

結果: Data-driven understanding of signal reliability.

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

組合

與其他 MCP 搭配,撬動十倍槓桿

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.✓ 已複製

工具

此 MCP 暴露的能力

工具輸入參數何時呼叫成本
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

成本與限制

運行它的成本

API 配額
Served from signals.x70.ai
每次呼叫 Token 數
300–1000 tokens per signal query
費用
Free during beta — no credit card required
提示
Check signals periodically rather than every minute to conserve tokens.

安全

權限、密鑰、影響範圍

憑證儲存: N/A — no authentication required during beta
資料出站: Signal data fetched from signals.x70.ai

故障排查

常見錯誤與修復

No signals available

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

驗證: Try with a lower confidence threshold
Server unreachable

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

驗證: 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.

驗證: Get fresh signals and check timestamps

替代方案

trading-skills 對比其他方案

替代方案何時用它替代權衡
Manual technical analysisYou prefer to do your own analysis with TradingView or similar toolsFull control but no AI automation

更多

資源

📖 閱讀 GitHub 上的官方 README

🐙 查看未解決的 issue

🔍 瀏覽全部 400+ MCP 伺服器和 Skills