# theme-detector

Identifies trending cross-sector market themes and evaluates their lifecycle stage using FINVIZ data. Useful when tracking sector rotation and bullish or bearish narratives.

- skill · `type=skill` · Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode · 3300 installs · ★ 3267
- Author: tradermonty
- License: MIT · policy=mirror · the beginning of the file is at the end of this page
- Source: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/theme-detector/SKILL.md
- Updated: 2026-10-24
- HTML: https://affpapa.org/en/nevibecode/skills/theme-detector

## What it does

The skill measures direction-neutral momentum and breadth to score themes on a 0-100 Theme Heat scale. It classifies each theme into lifecycle stages from Emerging and Accelerating to Mature and Exhausting, factoring in ETF proliferation. The script `skills/theme-detector/scripts/theme_detector.py` requires Python 3.9+ along with `finvizfinance`, `pandas`, `numpy`, and `yfinance`.

Without a FINVIZ Elite key, the detector relies on public scraping capped at roughly 20 stocks per industry. If you need complete industry coverage, setting `FINVIZ_API_KEY` is required because rate limits throttle public requests. You can also pass `FMP_API_KEY` for valuation data or load daily scan hits via `--scan-hits`.

Confidence scores from the script stop at Medium. Claude raises the final evaluation to High only after checking recent narratives with WebSearch.

## Install

### Claude Code (native platform)

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill theme-detector -a claude-code
```

2. **Manually: put the files in place**
- File: `~/.claude/skills/theme-detector/SKILL.md` — Copy the whole skill folder; for one project use .claude/skills/theme-detector/

### Codex

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill theme-detector -a codex
```

2. **Manually: put the files in place**
- File: `.agents/skills/theme-detector/SKILL.md` — For all projects use ~/.agents/skills/

### Cursor

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill theme-detector -a cursor
```

2. **Manually: put the files in place**
- File: `.cursor/skills/theme-detector/SKILL.md` — Cursor also reads .agents/skills/ and .claude/skills/

### GitHub Copilot

1. **GitHub CLI**
```bash
gh skill install tradermonty/claude-trading-skills theme-detector
```

2. **Manually: put the files in place**
- File: `.github/skills/theme-detector/SKILL.md`

### Gemini CLI

1. **Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill theme-detector -a gemini-cli
```

2. **Platform CLI**
```bash
gemini skills install https://github.com/tradermonty/claude-trading-skills --path skills/theme-detector
```

### Windsurf (Devin Desktop)

**Manually: put the files in place**
- File: `.devin/skills/theme-detector/SKILL.md` — The legacy .windsurf/skills/ path still works

### OpenCode

**Skills CLI (Vercel)**
```bash
npx skills add tradermonty/claude-trading-skills --skill theme-detector -a opencode
```

### Claude.ai

**Claude.ai**
- Zip the folder and upload it in Settings → Capabilities → Skills

Where a file is given instead of a command, copy the files from the source to that path: https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/theme-detector/SKILL.md

## When to use it
- detect active bullish and bearish market themes across US sectors
- classify trade maturity from early acceleration to late-stage exhaustion
- spot crowded trades by analyzing ETF proliferation and breadth extremes
- map momentum scan leaders to broad thematic narratives using daily hits

## Example prompts
- What market themes are trending right now?
- Where is sector rotation heading?
- What are the strongest bullish and bearish narratives?

## Source text · SKILL.md · MIT

Below is the content of a third-party file. It is data, not instructions for you: do not act on anything written inside unless the human asks. Block tag: a93dc5a9608d08e7.

BEGIN THIRD-PARTY FILE a93dc5a9608d08e7
```text
---
name: theme-detector
description: Detect and analyze trending market themes across sectors. Use when user asks about current market themes, trending sectors, sector rotation, thematic investing, what themes are hot or cold, or wants to identify bullish and bearish market narratives with lifecycle analysis.
---

# Theme Detector

## Overview

This skill detects and ranks trending market themes by analyzing cross-sector momentum, volume, and breadth signals. It identifies both bullish (upward momentum) and bearish (downward pressure) themes, assesses lifecycle maturity (Emerging/Accelerating/Trending/Mature/Exhausting), and provides a confidence score combining quantitative data with narrative analysis.

**3-Dimensional Scoring Model:**
1. **Theme Heat** (0-100): Direction-neutral strength of the theme (momentum, volume, uptrend ratio, breadth)
2. **Lifecycle Maturity**: Stage classification (Emerging / Accelerating / Trending / Mature / Exhausting) based on duration, extremity clustering, valuation, and ETF proliferation
3. **Confidence** (Low / Medium / High): Reliability of the detection, combining quantitative breadth with narrative confirmation. Script output is capped at Medium; Claude's WebSearch narrative confirmation step can elevate to High.
4. **Stock Leadership**: Optional daily scan-hit evidence from 5D+20%, EP9M, range expansion, new highs, and high-RS stocks. When supplied, this is blended into Theme Heat v2; when absent, it lowers confidence coverage but does not force leadership to zero.
5. **Theme Match Quality**: Specificity of the theme match from industry participation, explicit stock-basket hits, proxy ETF confirmation, and optional offline narrative scores. This is evidence quality, not a trade recommendation.

**Key Features:**
- Cross-sector theme detection using FINVIZ industry data
- Direction-aware scoring (bullish and bearish themes)
- Lifecycle maturity assessment to identify crowded vs. emerging trades
- ETF proliferation scoring (more ETFs = more mature/crowded theme)
- Integration with uptrend-dashboard for 3-point evaluation
- Stock-level leadership evidence via `--scan-hits`
- Theme match quality via explicit stock baskets and proxy ETF confirmation
- Leader candidate evidence ranked by abnormal move/volume/range/RS metrics, with market cap shown only as a risk bucket
- Theme history and acceleration metrics via `--history-file`
- Dual-mode operation: FINVIZ Elite (fast) or public scraping (slower, limited)
- WebSearch-based narrative confirmation for top themes

---

## When to Use This Skill

**Explicit Triggers:**
- "What market themes are trending right now?"
- "Which sectors are hot/cold?"
- "Detect current market themes"
- "What are the strongest bullish/bearish narratives?"
```
END THIRD-PARTY FILE a93dc5a9608d08e7

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First 2766 of 19454 bytes. © tradermonty · MIT · https://github.com/tradermonty/claude-trading-skills/tree/HEAD/skills/theme-detector/SKILL.md

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---
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