market-regime

Purpose

This skill analyzes financial market regimes to detect trends, volatility, and shifts in asset classes like stocks, bonds, or cryptocurrencies. It processes historical data to classify regimes (e.g., bull, bear, sideways) and provides actionable insights for trading or risk management.

When to Use

Use this skill when you need to evaluate market conditions for decision-making, such as before executing trades, assessing portfolio risk, or building predictive models. Apply it in volatile markets, during economic events, or for backtesting strategies. Avoid if you lack historical data access, as it requires at least 1 year of price data.

Key Capabilities

• Identifies market regimes using statistical methods like moving averages and Bollinger Bands.
• Analyzes volatility with metrics such as standard deviation or VIX equivalents.
• Detects trend shifts by comparing short-term vs. long-term indicators.
• Supports multiple asset classes via APIs or data feeds (e.g., Yahoo Finance, Alpha Vantage).
• Outputs regime classifications, volatility scores, and regime duration forecasts.

Usage Patterns

Invoke this skill via CLI for quick analysis or integrate it into Python scripts for automated workflows. Always provide asset symbols and time periods. For CLI, use synchronous calls; for API, handle asynchronous responses. Configure with a JSON file for custom parameters, e.g., set thresholds for volatility detection.