All PlansQuantitative Analysis

Rolling Risk Analyzer

Calculate and analyze rolling price statistics (volatility, drawdowns, and returns) to detect market regimes and risk profiles.

Rolling Risk Analyzer

The Rolling Risk Analyzer calculates sliding-window statistical metrics—comparing short-term (20-day) against long-term (252-day) volatility, drawdowns, and returns—to identify changing market regimes and risk-adjusted efficiency.

What is Rolling Risk Analysis?

Standard risk metrics (like static annual standard deviation or beta) only capture a snapshot in time. They often miss sudden regime shifts, such as volatility contraction before an earnings move or rapid volatility expansion during a market correction.

Rolling risk analysis evaluates quantitative behavior over moving time windows. By contrasting a 20-day window (short-term monthly risk) against a 252-day window (annual trading baseline), investors can see whether a stock's risk is compressing, expanding, or deteriorating relative to its returns.

How Pierce AI Executes It

When you ask Pierce to analyze rolling risk for one or more tickers, it runs a quantitative sliding-window evaluation:

  1. Short-Term Risk Window (20 Days): Pierce queries historical prices over a 20-day window to calculate mean daily return, daily standard deviation, annualized volatility (daily_stddev * sqrt(252)), and maximum drawdown.
  2. Long-Term Risk Baseline (252 Days): Pierce queries the full 1-year (252 trading days) history to establish baseline volatility, annual maximum drawdown, and long-term risk parameters.
  3. Volatility Regime Classification: It evaluates annualized volatility into four defined regimes:
    • Low Volatility: < 15% annualized
    • Moderate Volatility: 15% – 30% annualized
    • High Volatility: 30% – 50% annualized
    • Extreme Volatility: > 50% annualized
  4. Sharpe Ratio Efficiency Proxy: Pierce computes the risk-adjusted return ratio (MEAN / STDDEV) for both windows to determine whether risk-adjusted performance is accelerating or decaying.
  5. Regime Shift Detection: By comparing 20-day and 252-day standard deviations, Pierce flags volatility compression (squeeze setups) or volatility expansion (breakout or panic regimes).

Key Metrics & Deliverables

By running the Rolling Risk Analyzer, you receive:

  • Sliding Window Comparison Table: Side-by-side comparison of 20-day vs. 252-day annualized volatility, average daily return, maximum drawdown, and Sharpe ratio proxy.
  • Current Volatility Regime Rating: Clear rating of the stock's current volatility profile.
  • Drawdown Assessment: Evaluation of recent maximum drawdown vs. 52-week worst-case drawdowns.
  • Portfolio & Risk Suitability: Actionable takeaways on position sizing, stop placement, and trade suitability.

Example Prompts & Use Cases

You can invoke this skill using natural prompts such as:

  • "Analyze rolling risk for MSFT. Compare short-term 20-day vs long-term 252-day volatility."
  • "What is the current volatility regime for NVDA over the last month vs the past year?"
  • "Evaluate rolling drawdowns and risk-adjusted returns for AAPL and GOOGL."
  • "Is Tesla experiencing a volatility squeeze or expansion right now?"

Methodology Notes & Limitations

  • Window Sizing: 20 trading days captures approximately one calendar month of market action, while 252 trading days represents one calendar trading year.
  • Historical Nature: Rolling statistics measure past price action. Sudden geopolitical shocks, unexpected earnings releases, or macro events can alter volatility regimes immediately.
  • Asset Suitability: Best suited for liquid equities, index ETFs, and commodities with continuous daily price histories.

Note: Rolling Risk Analyzer is available on the PayGo tier and above.

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