sentiment-analyzer

IgorGanapolsky/trading

After-tax $6K/mo options income ASAP: automated SPY-first iron condor system on Alpaca (15-20Δ, $10 wings, up to 5 concurrent). Validate on $100K paper, then mirror qualified setups to live via strict risk gates + GitHub Actions.

21 stars

3 forks

Python

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Installation

Option 1: Use slash command in Claude Code

/install-skill https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer

Option 2: Clone to skills directory

# Global (all projects)

git clone https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer ~/.claude/skills/trading

# Project-specific

git clone https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer .claude/skills/trading

Add MCP server to .cursor/mcp.json:

{
  "mcpServers": {
    "skillz": {
      "command": "npx",
      "args": ["-y", "skillz-mcp", "https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer"]
    }
  }
}

Restart Cursor after adding the configuration.

Option 1: Use Gemini CLI command

gemini extensions install https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer

Option 2: Clone to extensions directory

git clone https://github.com/IgorGanapolsky/trading/tree/main/.claude/skills/sentiment_analyzer ~/.gemini/extensions/trading

Topics

algorithmic-trading iron-condor options-trading paper-trading python risk-management spy