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risk-assessment

Assess risk metrics for a stock or position including volatility, beta, VaR, and drawdown analysis. Use when user asks about risk, volatility, beta, VaR, value at risk, drawdown, or position sizing.

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Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

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Risk Assessment

Calculate risk metrics for stocks and positions.

Instructions

Note: If uv is not installed or pyproject.toml is not found, replace uv run python with python in all commands below.
uv run python scripts/risk.py SYMBOL [--period PERIOD] [--position-size SIZE]

Arguments

  • SYMBOL - Ticker symbol
  • --period - Analysis period: 1mo, 3mo, 6mo, 1y (default: 1y)
  • --position-size - Dollar amount for position-specific metrics (optional)

Output

Returns JSON with:

  • volatility - Historical volatility (annualized)
  • beta - Beta vs SPY
  • var_95 - 95% Value at Risk (daily)
  • var_99 - 99% Value at Risk (daily)
  • max_drawdown - Maximum drawdown in period
  • sharpe_ratio - Risk-adjusted return
  • position_risk - If position-size provided, dollar VaR

Explain what the risk metrics mean and suggest position sizing if relevant.

Dependencies

  • numpy
  • yfinance

Timezone

All timestamps and time-based calculations must use the America/New_York timezone. All JSON output must include generated_at (NY time string) and data_delay fields.

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