高级 TradingView MCP 服务器，用于人工智能驱动的市场分析。实时加密货币和股票筛选、技术指标、布林带情报和烛台模式。与 Claude 桌面和人工智能助手一起使用。多交易所支持（Binance、KuCoin、Bybit+）。开源交易工具包。

📈 AI交易智能框架 — MCP服务器

⭐ 如果这个工具能改善你的工作流程，请给仓库加星并考虑sponsoring——它让项目得以持续发展和发展！

🎥 框架演示

https://github-production-user-asset-6210df.s3.amazonaws.com/67838093/478689497-4a605d98-43e8-49a6-8d3a-559315f6c01d.mp4

🏗️ 建筑

✨ 为什么选择tradingview-mcp？

🚀 快速入门（5分钟）

通过PIP安装

pip install tradingview-mcp-server

Claude Desktop Config (claude_desktop_config.json)

Note: On macOS, GUI apps like Claude Desktop may not have ~/.local/bin in their PATH. Use the full path to uvx to avoid "command not found" errors.

{
  "mcpServers": {
    "tradingview": {
      "command": "/Users/YOUR_USERNAME/.local/bin/uvx",
      "args": ["--from", "tradingview-mcp-server", "tradingview-mcp"]
    }
  }
}

On Linux, replace /Users/YOUR_USERNAME with /home/YOUR_USERNAME. On Windows, use %USERPROFILE%\.local\bin\uvx.exe.

或者直接跑出源头

git clone https://github.com/atilaahmettaner/tradingview-mcp
cd tradingview-mcp
uv run tradingview-mcp

📱 通过Telegram、WhatsApp等方式使用（OpenClaw）

将此服务器连接到Telegram、WhatsApp、Discord以及使用 20+ 消息平台的OpenClaw—— 一个自托管的人工智能网关。在 Hetzner VPS（Ubuntu 24.04）上测试并验证。

工作原理

OpenClaw routes Telegram messages to an AI agent. The agent uses trading.py — a thin Python wrapper — to call tradingview-mcp functions and return formatted results. OpenClaw 与服务器之间无需 MCP 协议;它是直接导入的Python。

Telegram → OpenClaw agent (AI model) → trading.py (bash) → tradingview-mcp → Yahoo Finance

快速设置

# 1. Install UV and tradingview-mcp
curl -LsSf https://astral.sh/uv/install.sh | sh && source ~/.bashrc
uv tool install tradingview-mcp-server

# 2. Configure OpenClaw channels
cat > ~/.openclaw/openclaw.json << 'EOF'
{
  channels: {
    telegram: {
      botToken: "YOUR_BOT_TOKEN_HERE",
    },
  },
}
EOF

# 3. Configure gateway + agent
openclaw config set gateway.mode local
openclaw config set acp.defaultAgent main

# 4. Set your AI model (choose ONE option below)
openclaw configure --section model

# 5. Install the skill + tool wrapper
mkdir -p ~/.agents/skills/tradingview-mcp ~/.openclaw/tools
curl -fsSL https://raw.githubusercontent.com/atilaahmettaner/tradingview-mcp/main/openclaw/SKILL.md \
  -o ~/.agents/skills/tradingview-mcp/SKILL.md
curl -fsSL https://raw.githubusercontent.com/atilaahmettaner/tradingview-mcp/main/openclaw/trading.py \
  -o ~/.openclaw/tools/trading.py && chmod +x ~/.openclaw/tools/trading.py

# 6. Start the gateway
openclaw gateway install
systemctl --user start openclaw-gateway.service

选择你的AI模型

OpenRouter 是非必需——使用您拥有密钥的供应商：

# Examples — set your chosen model:
openclaw config set agents.defaults.model "openrouter/google/gemini-3-flash-preview"  # via OpenRouter
openclaw config set agents.defaults.model "anthropic/claude-sonnet-4-5"               # Anthropic direct
openclaw config set agents.defaults.model "google/gemini-2.5-flash"                   # Google direct

⚠️ Important: Prefix must match your provider. google/... needs a Google API key. openrouter/... needs an OpenRouter key.

⚠️ 常见错误

测试你的机器人

运行后，发送你的Telegram机器人：

market snapshot
backtest RSI strategy for AAPL, 1 year
compare all strategies for BTC-USD

👉 完整的OpenClaw设置指南→

1. 🛠️ 技术分析师—— 布林带（±3专有评级）、RSI、MACD
2. 🌊 情绪与动量分析师—— Reddit社区情绪 + 价格动能
3. 🛡️ 风险管理师——波动率、回撤风险、均值回归信号

🔧 所有30+ MCP工具

📊 回测引擎(New in v0.6.0)

• rsi — RSI oversold/overbought mean reversion
• bollinger — Bollinger Band mean reversion
• macd — MACD golden/death cross
• ema_cross — EMA 20/50 Golden/Death Cross
• supertrend — ATR-based Supertrend trend following 🔥
• donchian — Donchian Channel breakout (Turtle Trader style)

Example prompt: "Compare all strategies on BTC-USD for 2 years"
→ #1 Supertrend: +31.5% | Sharpe: 2.1 | WR: 62%
→ #2 Bollinger:  +18.3% | Sharpe: 3.4 | WR: 75%
→ Buy & Hold:    -5.0%

💰 雅虎财经——实时价格(New in v0.6.0)

🧠 人工智能情感与智能(New in v0.5.0)

📈 技术分析核心

🌍 多交换支持（Multi Exchange）

💬 示例 AI 对话

You: "Give me a full market snapshot right now"
AI: [market_snapshot] → S&P500 -3.4%, BTC +0.1%, VIX 31 (+13%), EUR/USD 1.15

You: "What is Reddit saying about NVDA?"
AI: [market_sentiment] → Strongly Bullish (0.41) | 23 posts | 18 bullish

You: "Backtest RSI strategy on BTC-USD for 2 years"
AI: [backtest_strategy] → +31.5% return | 100% win rate | 2 trades | B&H: -5%

You: "Which strategy worked best on AAPL in the last 2 years?"
AI: [compare_strategies] → Supertrend #1 (+14.6%, Sharpe 3.09), MACD last (-9.1%)

You: "Analyze TSLA with all signals: technical + sentiment + news"
AI: [combined_analysis] → BUY (Technical STRONG BUY + Bullish Reddit + Positive news)

💖 支持项目

该框架是自由且开源，业余时间内建的。如果这能帮你节省数小时的研究时间或帮助你做出更好的决策，请考虑赞助：

每个赞助商都直接资助新功能，如前进回测、Twitter/X情感和托管云托管。

📋 路线图

• [x] TradingView 技术分析（30+指标）
• [x] 多交易所筛选器（币安、KuCoin、EGX、美股）
• [x] Reddit情感分析
• [x] 实时财经新闻（RSS）
• [x] 雅虎财经实时价格
• [x] 回测引擎（6种策略 + Sharpe/Calmar/Expectancy）
• [ ] 向前行进回测（过拟合检测）
• [ ] Twitter/X市场情绪
• [ ] 纸币交易模拟
• [ ] 托管云主机（无本地设置）

📄 许可

麻省理工学院执照——参见LICENSE细节。

文章来源：https://github.com/atilaahmettaner/tradingview-mcp