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 ftd-detectorgit 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/ftd-detector)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/ftd-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/ftd-detector/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/ftd-detector"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/ftd-detector.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk fail
- 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 | $0.00110 | $0.01413 |
| Opus 5 | $0.00055 | $0.00707 |
| Sonnet 5 | $0.00022 | $0.00283 |
| Haiku 4.5 | $0.00011 | $0.00141 |
Grade A, and why
ftd-detector 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 12d 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:
- ftd-detector — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 150 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FTD Detector Skill
Purpose
Detect Follow-Through Day (FTD) signals that confirm a market bottom, using William O'Neil's proven methodology. Generates a quality score (0-100) with exposure guidance for re-entering the market after corrections.
Complementary to Market Top Detector:
- Market Top Detector = defensive (detects distribution, rotation, deterioration)
- FTD Detector = offensive (detects rally attempts, bottom confirmation)
When to Use This Skill
English:
- User asks "Is the market bottoming?" or "Is it safe to buy again?"
- User observes a market correction (3%+ decline) and wants re-entry timing
- User asks about Follow-Through Days or rally attempts
- User wants to assess if a recent bounce is sustainable
- User asks about increasing equity exposure after a correction
- Market Top Detector shows elevated risk and user wants bottom signals
Japanese:
- 「底打ちした？」「買い戻して良い？」
- 調整局面（3%以上の下落）からのエントリータイミング
- フォロースルーデーやラリーアテンプトについて
- 直近の反発が持続可能か評価したい
- 調整後のエクスポージャー拡大の判断
- Market Top Detectorが高リスク表示の後の底打ちシグナル確認
Difference from Market Top Detector
| Aspect | FTD Detector | Market Top Detector |
|---|---|---|
| Focus | Bottom confirmation (offensive) | Top detection (defensive) |
| Trigger | Market correction (3%+ decline) | Market at/near highs |
| Signal | Rally attempt → FTD → Re-entry | Distribution → Deterioration → Exit |
| Score | 0-100 FTD quality | 0-100 top probability |
| Action | When to increase exposure | When to reduce exposure |
Execution Workflow
Phase 1: Execute Python Script
Run the FTD detector script:
python3 skills/ftd-detector/scripts/ftd_detector.py --api-key $FMP_API_KEY
The script will:
- Fetch S&P 500 and QQQ historical data (60+ trading days) from FMP API
- Fetch current quotes for both indices
- Run dual-index state machine (correction → rally → FTD detection)
- Assess post-FTD health (distribution days, invalidation, power trend)
- Calculate quality score (0-100)
- Generate JSON and Markdown reports
What ships with it
13 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/ftd_methodology.md 7.2 KB
- references/post_ftd_guide.md 7.0 KB
- requirements.txt 128 B
- scripts/fmp_client.py 17 KB runs code
- scripts/ftd_detector.py 10 KB runs code
- scripts/post_ftd_monitor.py 13 KB runs code
- scripts/rally_tracker.py 19 KB runs code
- scripts/report_generator.py 16 KB runs code
- scripts/tests/conftest.py 296 B runs code
- scripts/tests/helpers.py 3.0 KB runs code
- scripts/tests/test_fmp_client.py 15 KB runs code
- scripts/tests/test_post_ftd_monitor.py 16 KB runs code
- scripts/tests/test_rally_tracker.py 20 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.
- 12d ago First seen · 150 lines · 110 tokens per session scan A 1df3f87cfe98
ftd-detector is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 110 tokens to every session and 1,413 once invoked, about $0.0006 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 2026-08-30.
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