Downtrend Duration Analyzer

This pulls historical price data through FMP's API and identifies peak to trough downtrends, then generates interactive histograms showing how long corrections typically last across different sectors and market caps. You'd use it when building mean reversion strategies and need realistic holding period estimates, or when a trader asks how long tech pullbacks usually take to recover. The segmentation by market cap is the useful bit here since mega caps consistently show faster recovery than small caps in the output. It spits out JSON with percentile data, markdown reports, and Plotly visualizations you can actually filter and interact with. Solid for setting stop loss timeouts based on historical norms rather than guessing.

skills.sh installs: 3.3K
GitHub stars: 3.7K
last updated: Aug 21, 2026

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Install

$ npx -y skills add tradermonty/claude-trading-skills --skill downtrend-duration-analyzer --agent claude-code

Installs into .claude/skills of the current project.

Files

Downtrend Duration Analyzer

Overview

Analyze historical price data to identify downtrend periods (peak-to-trough) and build statistical distributions of correction durations. Generate interactive HTML visualizations with histograms segmented by sector and market cap to help traders understand typical recovery timeframes and set realistic expectations for mean reversion strategies.

When to Use

Trader asks about typical correction lengths for a sector or market cap tier
User wants to understand historical drawdown recovery times
Building mean reversion or pullback strategies that need realistic holding period estimates
Comparing correction behavior across different market segments
Setting stop-loss timeouts or position holding period limits