Market Regimes
Analyzes market volatility and identifies current regime types (e.g., trending, ranging) for informed trading decisions and risk management.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add market-regimes npx -- -y @trustedskills/market-regimes
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"market-regimes": {
"command": "npx",
"args": [
"-y",
"@trustedskills/market-regimes"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The market-regimes skill identifies and classifies different states or patterns in financial markets, such as trending, ranging, or volatile conditions. It uses historical price data to detect shifts in market behavior, helping users make more informed trading decisions based on current regime dynamics.
When to use it
- Before executing a trade to assess the prevailing market condition.
- To adjust risk management strategies based on whether the market is trending or range-bound.
- For backtesting trading strategies under different historical market regimes.
- When developing adaptive algorithms that need to respond to changing market environments.
Key capabilities
- Detection of market trends (bullish, bearish, or sideways).
- Identification of volatility shifts over time.
- Classification of market states using statistical analysis.
- Integration with historical price data for regime detection.
Example prompts
- "What was the dominant market regime during the 2020 Q1 crash?"
- "Is the current S&P 500 in a trending or ranging phase?"
- "Analyze the last six months of Bitcoin data to identify regime changes."
Tips & gotchas
- Ensure you provide high-quality, time-series price data for accurate regime detection.
- The skill may require calibration based on the specific asset class and timeframe being analyzed.
Tags
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