Claude Trading Skills is a collection of Claude Code workflows for individual investors who want structured market analysis, charting, economic-calendar review, screening, trade planning, journaling, and risk management. It is designed for people using long-term investing, ETFs, dividend stocks, and disciplined swing trading, and the catalogue entries package these workflows as skills, agents, commands, settings, and instructions.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add tradermonty/claude-trading-skills --skill uptrend-analyzergit clone --depth 1 https://github.com/tradermonty/claude-trading-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tradermonty/claude-trading-skills/uptrend-analyzer)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/uptrend-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/uptrend-analyzer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/uptrend-analyzer"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/uptrend-analyzer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00075 | $0.01565 |
| Opus 5.5 | $0.00030 | $0.00626 |
| Sonnet 5.5 | $0.00015 | $0.00313 |
| Haiku 4.5 | $0.00007 | $0.00156 |
Grade A, and why
uptrend-analyzer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
2 near-identical copies found in the catalogue:
- uptrend-analyzer — 100% identical, 14 lines differ
- uptrend-analyzer — 98% identical, 20 lines differ
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Uptrend Analyzer Skill
Purpose
Diagnose market breadth health using Monty's Uptrend Ratio Dashboard, which tracks ~2,800 US stocks across 11 sectors. Generates a 0-100 composite score (higher = healthier) with exposure guidance.
Unlike the Market Top Detector (API-based risk scorer), this skill uses free CSV data to assess "participation breadth" - whether the market's advance is broad or narrow.
When to Use This Skill
English:
- User asks "Is the market breadth healthy?" or "How broad is the rally?"
- User wants to assess uptrend ratios across sectors
- User asks about market participation or breadth conditions
- User needs exposure guidance based on breadth analysis
- User references Monty's Uptrend Dashboard or uptrend ratios
Japanese:
- 「市場のブレドスは健全？」「上昇の裾野は広い？」
- セクター別のアップトレンド比率を確認したい
- 相場参加率・ブレドス状況を診断したい
- ブレドス分析に基づくエクスポージャーガイダンスが欲しい
- Montyのアップトレンドダッシュボードについて質問
Prerequisites
- Python 3.9+ with the
requestslibrary (CSV parsing uses the stdlibcsv/iomodules) - Internet connection to fetch CSV data from GitHub (no API key required)
- No paid API subscriptions needed
Difference from Market Top Detector
| Aspect | Uptrend Analyzer | Market Top Detector |
|---|---|---|
| Score Direction | Higher = healthier | Higher = riskier |
| Data Source | Free GitHub CSV | FMP API (paid) |
| Focus | Breadth participation | Top formation risk |
| API Key | Not required | Required (FMP) |
| Methodology | Monty Uptrend Ratios | O'Neil/Minervini/Monty |
Execution Workflow
Phase 1: Execute Python Script
Run the analysis script (no API key needed):
python3 skills/uptrend-analyzer/scripts/uptrend_analyzer.py
The script will:
- Download CSV data from Monty's GitHub repository
- Calculate 5 component scores
- Generate composite score and reports
Phase 2: Present Results
Present the generated Markdown report to the user, highlighting:
- Composite score and zone classification
- Exposure guidance (Full/Normal/Reduced/Defensive/Preservation)
- Sector heatmap showing strongest and weakest sectors
- Key momentum and rotation signals
What ships with it
28 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- references/uptrend_methodology.md 13 KB
- requirements.txt 128 B
- scripts/calculators/__init__.py 40 B runs code
- scripts/calculators/historical_context_calculator.py 6.8 KB runs code
- scripts/calculators/market_breadth_calculator.py 4.9 KB runs code
- scripts/calculators/momentum_calculator.py 7.3 KB runs code
- scripts/calculators/sector_participation_calculator.py 6.5 KB runs code
- scripts/calculators/sector_rotation_calculator.py 11 KB runs code
- scripts/data_fetcher.py 10 KB runs code
- scripts/provenance_contract.py 7.4 KB runs code
- scripts/report_generator.py 19 KB runs code
- scripts/scorer.py 14 KB runs code
- scripts/tests/conftest.py 304 B runs code
- scripts/tests/helpers.py 3.0 KB runs code
- scripts/tests/test_data_fetcher_schema_drift.py 8.9 KB runs code
- scripts/tests/test_data_fetcher.py 6.9 KB runs code
- scripts/tests/test_historical_context_calculator.py 5.4 KB runs code
- scripts/tests/test_main_provenance.py 2.1 KB runs code
- scripts/tests/test_market_breadth_calculator.py 6.2 KB runs code
- scripts/tests/test_momentum_calculator.py 6.4 KB runs code
- scripts/tests/test_new_features.py 19 KB runs code
- scripts/tests/test_provenance_contract.py 5.9 KB runs code
- scripts/tests/test_report_generator.py 9.1 KB runs code
- scripts/tests/test_scorer.py 6.3 KB runs code
- scripts/tests/test_sector_participation_calculator.py 5.1 KB runs code
- scripts/tests/test_sector_rotation_calculator.py 7.2 KB runs code
- scripts/tests/test_uptrend_analyzer.py 6.1 KB runs code
- scripts/uptrend_analyzer.py 9.3 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago Changed · +14 lines e514dea7f485
- 1mo ago First seen · 154 lines · 75 tokens per session scan A 237f2d2075f4
uptrend-analyzer is a skill published in the GitHub repository tradermonty/claude-trading-skills (3,373 stars, last pushed yesterday), licensed MIT. It adds 75 tokens to every session and 1,565 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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