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 vcp-screenergit 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/vcp-screener)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/vcp-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/vcp-screener/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/vcp-screener"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/vcp-screener.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk pass
- 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 | $0.00141 | $0.02097 |
| Opus 5 | $0.00071 | $0.01048 |
| Sonnet 5 | $0.00028 | $0.00419 |
| Haiku 4.5 | $0.00014 | $0.00210 |
Grade A, and why
vcp-screener 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 9d 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
1 near-identical copy found in the catalogue:
- vcp-screener — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 173 lines — stays where its author put it; the contents beside it link to each section on GitHub.
VCP Screener - Minervini Volatility Contraction Pattern
Screen S&P 500 stocks for Mark Minervini's Volatility Contraction Pattern (VCP), identifying Stage 2 uptrend stocks with contracting volatility near breakout pivot points.
When to Use
- User asks for VCP screening or Minervini-style setups
- User wants to find tight base / volatility contraction patterns
- User requests Stage 2 momentum stock scanning
- User asks for breakout candidates with defined risk
- User asks "find every historical VCP in " or wants to study one ticker's
past VCP setups with forward outcomes (
--history --ticker SYM)
Prerequisites
- FMP API key (set
FMP_API_KEYenvironment variable or pass--api-key) - Free tier (250 calls/day) is sufficient for default screening (top 100 candidates)
- Paid tier recommended for full S&P 500 screening (
--full-sp500)
Workflow
Step 1: Prepare and Execute Screening
Run the VCP screener script:
# Default: S&P 500, top 100 candidates
python3 skills/vcp-screener/scripts/screen_vcp.py --output-dir skills/vcp-screener/scripts
# Custom universe
python3 skills/vcp-screener/scripts/screen_vcp.py --universe AAPL NVDA MSFT AMZN META --output-dir skills/vcp-screener/scripts
# Full S&P 500 (paid API tier)
python3 skills/vcp-screener/scripts/screen_vcp.py --full-sp500 --output-dir skills/vcp-screener/scripts
Strict Mode (Minervini pure setup)
Only return stocks with valid_vcp=True AND execution_state in (Pre-breakout, Breakout):
python3 skills/vcp-screener/scripts/screen_vcp.py --strict --output-dir reports/
Historical single-ticker mode
Walk one ticker's multi-year history, detect every VCP that ever formed, and attach forward-outcome stats (breakout / stop-hit / timeout, days-to-outcome, max gain, max loss) per detection. Useful for pattern study and backtesting context — not a real-time screener.
# Default: scan ~5 years (1260 trading days), 5-day stride, 60-day outcome window
python3 skills/vcp-screener/scripts/screen_vcp.py \
--history --ticker FIX --output-dir reports/
# Custom scan length: 750 trading days (~3 years), 90-day outcome window
python3 skills/vcp-screener/scripts/screen_vcp.py \
--history 750 --ticker TSLA \
--stride-days 5 --outcome-days 90 \
--output-dir reports/
# Long scan: 10 years (2520 trading days)
python3 skills/vcp-screener/scripts/screen_vcp.py \
--history 2520 --ticker NVDA --output-dir reports/
What ships with it
25 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/fmp_api_endpoints.md 1.6 KB
- references/scoring_system.md 9.5 KB
- references/vcp_methodology.md 4.6 KB
- requirements.txt 128 B
- scripts/_fmp_compat.py 4.9 KB runs code
- scripts/calculators/__init__.py 27 B runs code
- scripts/calculators/execution_state.py 6.5 KB runs code
- scripts/calculators/forward_outcome.py 4.5 KB runs code
- scripts/calculators/pattern_classifier.py 3.2 KB runs code
- scripts/calculators/pivot_proximity_calculator.py 4.4 KB runs code
- scripts/calculators/relative_strength_calculator.py 8.7 KB runs code
- scripts/calculators/trend_template_calculator.py 9.8 KB runs code
- scripts/calculators/vcp_pattern_calculator.py 22 KB runs code
- scripts/calculators/volume_pattern_calculator.py 9.1 KB runs code
- scripts/fmp_client.py 19 KB runs code
- scripts/historical_report.py 7.3 KB runs code
- scripts/historical_scanner.py 7.6 KB runs code
- scripts/report_generator.py 15 KB runs code
- scripts/scorer.py 8.5 KB runs code
- scripts/screen_vcp.py 36 KB runs code
- scripts/tests/conftest.py 296 B runs code
- scripts/tests/test_fmp_client_historical.py 4.9 KB runs code
- scripts/tests/test_fmp_stable_migration.py 2.2 KB runs code
- scripts/tests/test_historical_vcp.py 26 KB runs code
- scripts/tests/test_vcp_screener.py 136 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.
- 9d ago First seen · 173 lines · 141 tokens per session scan A 7b817ba7ec2b
vcp-screener is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,820 stars, last pushed today), licensed MIT. It adds 141 tokens to every session and 2,097 once invoked, about $0.0007 per session on Opus 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.
Other skills, from other repositories
sector-rotation
An analysis framework for comparing industries in the Chinese A-share stock market, using business conditions, price momentum, valuation, and money flows. It produces rankings and higher- or lower-allocation suggestions.
twitter-reader
Read Twitter/X for financial research using opencli (read-only). Use this skill whenever the user wants to read their Twitter feed, search for financial tweets, view bookmarks, look up user profiles, or gather market sentiment from Twitter/X. Triggers include: "check my feed", "search Twitter for", "show my…
chenhao-limit-up
A framework for judging Chinese A-share stocks that have reached the daily price-rise limit, using market mood, sector leadership, and trading momentum.
furusato
A Japanese hometown-tax donation manager for furusato nozei, a system where donations to municipalities can qualify for an income-tax or local-tax deduction. It reads donation receipts, stores donation records, and calculates deduction limits.
reading-receipt
An image-reading workflow for extracting structured information from receipts, invoices, and hometown-tax donation certificates. It can first extract text from PDFs and otherwise read their images.
vectorbt
High-performance vectorized backtesting with parameter optimization, portfolio simulation, and rich performance metrics.