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skills/smithery/ai/use-tradingview-mcp

use-tradingview-mcp

SKILL.md

Skill: Using TradingView MCP

This set of tools allows Antigravity to interact effectively with the locally hosted tradingview-mcp server.

1. Installation & Configuration

To enable this server in your Cursor/Claude environment, you must add it to your MCP configuration file.

Config Location:

  • Cursor: .cursor/mcp.json (Project Root) OR Global Settings.
  • Claude Desktop: ~/Library/Application Support/Claude/claude_desktop_config.json

JSON Snippet: Copy and paste this into your mcpServers block:

{
  "tradingview-local": {
    "command": "/Users/piriyasambandaraksa/.local/bin/uv",
    "args": [
      "run",
      "python",
      "src/tradingview_mcp/server.py"
    ],
    "cwd": "/Users/piriyasambandaraksa/Dropbox/Antigravity/The Dojo/servers/tradingview-mcp",
    "env": {
        "PYTHONUNBUFFERED": "1"
    }
  }
}

2. Capabilities & Prompts

Once connected, I (the Agent) can use the following capabilities. You can prompt me naturally:

Market Screening

  • "Find top gainers/losers"
    • Example: "Show me the top 5 crypto gainers on Binance today."
    • Tool: screen_market (Gainers/Losers/Volume/Volatility)
  • "Scan for Bollinger Squeeze"
    • Example: "Scan for coins with tight Bollinger Bands ready to breakout."
    • Tool: bollinger_scan

Technical Analysis

  • "Analyze this chart"
    • Example: "Analyze BTCUSDT on 4h timeframe."
    • Tool: get_technical_analysis (Returns RSI, MACD, MA, etc.)
  • "Check rating"
    • Example: "Is TSLA a buy right now according to Bollinger logic?"
    • Tool: get_rating

3. Best Practices

  • Use Specific Tickers: Always specify the exchange if possible (e.g., BINANCE:BTCUSDT or NASDAQ:AAPL).
  • Combine with Skills:
    • Use tradingview-mcp to fetch data/alerts.
    • Use expert-elliott-wave to analyze the structure of those alerts.
    • Example: "Scan for top gainers, then perform a fractal Elliott Wave count on the top result."
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Repository
smithery/ai
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