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trading-skills

von 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.

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

trading-skill-2.replay ▶ bereit
0/0

Installieren

Wählen Sie Ihren Client

~/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
    }
  }
}

Öffne Claude Desktop → Settings → Developer → Edit Config. Nach dem Speichern neu starten.

~/.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 nutzt das gleiche mcpServers-Schema wie Claude Desktop. Projektkonfiguration schlägt die globale.

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
    }
  }
}

Klicken Sie auf das MCP-Servers-Symbol in der Cline-Seitenleiste, dann "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
    }
  }
}

Gleiche Struktur wie Claude Desktop. Windsurf neu starten zum Übernehmen.

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

Continue nutzt ein Array von Serverobjekten statt einer Map.

~/.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"
        ]
      }
    }
  }
}

In context_servers hinzufügen. Zed lädt beim Speichern neu.

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

Einzeiler. Prüfen mit claude mcp list. Entfernen mit claude mcp remove.

Anwendungsfälle

Praxisnahe Nutzung: trading-skills

How to receive and analyze crypto trading signals

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

Wann einsetzen: You want to see what trading opportunities the system has identified.

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

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

Fallstricke
  • 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

Wann einsetzen: You want to see historical performance metrics before acting on signals.

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

Ergebnis: Data-driven understanding of signal reliability.

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

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

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.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
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

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
Served from signals.x70.ai
Tokens pro Aufruf
300–1000 tokens per signal query
Kosten in €
Free during beta — no credit card required
Tipp
Check signals periodically rather than every minute to conserve tokens.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: N/A — no authentication required during beta
Datenabfluss: Signal data fetched from signals.x70.ai

Fehlerbehebung

Häufige Fehler und Lösungen

No signals available

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

Prüfen: Try with a lower confidence threshold
Server unreachable

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

Prüfen: 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.

Prüfen: Get fresh signals and check timestamps

Alternativen

trading-skills vs. andere

AlternativeWann stattdessenKompromiss
Manual technical analysisYou prefer to do your own analysis with TradingView or similar toolsFull control but no AI automation

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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