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market-breadth-analyzer
Use when the user asks if a rally is broad-based, wants a quantitative market breadth score, an advance-decline/breadth-thrust read, or an equity exposure level from breadth data.
About this skill
Use when the user asks if a rally is broad-based, wants a quantitative market breadth score, an advance-decline/breadth-thrust read, or an equity exposure level from breadth data.
SKILL.md
market-breadth-analyzer.SKILL.mdPlace it in your Syntic skills folder. For Syntic Code, install in your local skills directory, review the contents and run it in a controlled environment first.
--- name: market-breadth-analyzer description: Use when the user asks if a rally is broad-based, wants a quantitative market breadth score, an advance-decline/breadth-thrust read, or an equity exposure level from breadth data. category: Market & Macro version: 1.0.0 tools: [] --- # Market Breadth Analyzer Quantify market breadth health with a data-driven, 6-component 0-100 score, measuring how broadly the market is participating in a rally or decline. 100 = maximum health/broad participation, 0 = critical weakness. ## When to Use - "Is the market rally broad-based?" / "How healthy is market breadth?" - User wants to assess market participation rate, advance-decline indicators, or breadth thrust - User wants to know if the market is narrowing (fewer stocks participating) - User wants an equity exposure level based on breadth conditions ## Difference from Chart-Based Breadth Analysis This produces a fully reproducible, quantitative 0-100 score from data directly, rather than a qualitative read of a chart image — use it when the user wants a number and a repeatable process rather than visual pattern recognition. ## 6-Component Scoring System | # | Component | Weight | Key Signal | |---|---|---|---| | 1 | Breadth Level & Trend | 25% | Current 8MA level + 200MA trend direction + 8MA direction modifier | | 2 | 8MA vs 200MA Crossover | 20% | Momentum via MA gap and direction | | 3 | Peak/Trough Cycle | 20% | Position in the breadth cycle | | 4 | Bearish Signal | 15% | Backtested bearish-signal flag | | 5 | Historical Percentile | 10% | Current reading vs. full historical distribution | | 6 | S&P 500 Divergence | 10% | Multi-window (20-day + 60-day) price-vs-breadth divergence | If any component lacks sufficient data (e.g. no peak/trough markers detected), exclude it and redistribute its weight proportionally among the remaining components — note both the original and the effective weights used. ## Health Zone Mapping | Score | Zone | Equity Exposure | Action | |---|---|---|---| | 80-100 | Strong | 90-100% | Full position; growth/momentum favored | | 60-79 | Healthy | 75-90% | Normal operations | | 40-59 | Neutral | 60-75% | Selective positioning, tighten stops | | 20-39 | Weakening | 40-60% | Profit-taking, raise cash | | 0-19 | Critical | 25-40% | Capital preservation, watch for a trough | ## Methodology Use web_search / knowledge_base_search to pull the underlying breadth dataset — roughly 2,500 daily rows of S&P 500 price, raw breadth index, 200MA and 8MA breadth readings, trend flags, bearish-signal flags, and peak/trough markers, plus an aggregate summary (average peak/trough levels, counts, analysis period). Flag if the data looks more than ~5 days stale. Score each of the six components per the table above, combine into the composite 0-100 score with any weight redistribution applied, and classify into a health zone. When prior readings are available, characterize the trend as improving, deteriorating, or stable. ## Output Present: the composite score and health zone, the strongest and weakest components, the recommended equity exposure level, key breadth levels to watch, any data-freshness warning, and — when available — the improving/deteriorating/stable trend read.
Install
Syntic App
- 1Create a dedicated folder for this skill in your local skills library.
- 2Place SKILL.md into that folder.
- 3Restart Syntic and invoke this skill on matching tasks.
Syntic Code (CLI)
- 1Save SKILL.md in your local Syntic Code skills directory.
- 2Keep related files in the same skill folder.
- 3Run in a safe environment and validate outputs.