Analyze Investment Clock Rotation
Predicts optimal investment timing based on cyclical market patterns and historical rotation data.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add analyze-investment-clock-rotation npx -- -y @trustedskills/analyze-investment-clock-rotation
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"analyze-investment-clock-rotation": {
"command": "npx",
"args": [
"-y",
"@trustedskills/analyze-investment-clock-rotation"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill analyzes investment clock rotation, identifying the cyclical patterns in asset performance. It assesses how different asset classes perform relative to each other over time and predicts potential future rotations based on historical trends. The analysis helps users understand when certain assets might outperform others within a defined economic cycle.
When to use it
- Portfolio Rebalancing: Determine which asset classes are poised for outperformance and adjust portfolio allocations accordingly.
- Strategic Asset Allocation: Inform long-term investment strategies by understanding the historical rotation patterns of different asset classes.
- Identifying Emerging Trends: Spot potential shifts in market leadership based on cyclical analysis.
- Scenario Planning: Evaluate how a portfolio might perform under different economic cycle scenarios.
Key capabilities
- Historical data analysis
- Asset class performance tracking
- Cyclical pattern identification
- Predictive rotation modeling
Example prompts
- "Analyze the investment clock rotation for US equities, bonds, and real estate over the past 20 years."
- "What are the key drivers of asset rotation in a rising interest rate environment?"
- "Based on historical patterns, which asset class is likely to outperform in the next 6-12 months?"
Tips & gotchas
The accuracy of predictions depends heavily on the availability and quality of historical data. Results should be considered as directional guidance rather than definitive forecasts.
Tags
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