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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.

▶ 觀看演示 📦 安裝 💡 使用場景

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

作者儲存庫 · Claude Skills 官方文件

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.

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

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