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 ibd-distribution-day-monitorgit 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/ibd-distribution-day-monitor)<a href="https://agentmods.dev/skills/tradermonty/claude-trading-skills/ibd-distribution-day-monitor"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/ibd-distribution-day-monitor/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/ibd-distribution-day-monitor"><img src="https://agentmods.dev/badge/skills/tradermonty/claude-trading-skills/ibd-distribution-day-monitor.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 | $0.00107 | $0.01359 |
| Opus 5 | $0.00053 | $0.00679 |
| Sonnet 5 | $0.00021 | $0.00272 |
| Haiku 4.5 | $0.00011 | $0.00136 |
Grade A, and why
ibd-distribution-day-monitor 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 13d 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:
- ibd-distribution-day-monitor — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
IBD Distribution Day Monitor
Purpose
Detect IBD-style Distribution Days for major market ETFs (QQQ as Nasdaq proxy, SPY as S&P 500 proxy) and produce a daily market deterioration signal plus a TQQQ/QQQ exposure recommendation. Designed for post-market review.
When to Use
Invoke this skill:
- Daily after the US market close.
- Before increasing TQQQ exposure or rebalancing leveraged positions.
- When evaluating whether an uptrend is becoming vulnerable to a correction.
- As an upstream input to FTD (Follow-Through Day) detection or other market-state frameworks.
Do NOT use this skill to:
- Execute trades or modify orders.
- Generate discretionary market predictions outside of the IBD ruleset.
Inputs
- Symbols (default: QQQ, SPY) and lookback (default 80 trading sessions).
- Optional
--as-of YYYY-MM-DDfor backtesting against a historical session. - Strategy context: instrument (TQQQ or QQQ), current exposure %, base trailing stop %.
- FMP API key via
--api-key,config.data.api_key, orFMP_API_KEYenv var (in that priority order).
Core Rules
A Distribution Day is detected when:
- Today's close is at least 0.2% below yesterday's close.
- Today's volume is greater than yesterday's volume.
A Distribution Day is removed from the active count when either:
- More than 25 trading sessions have elapsed since the DD.
- The index has gained 5% from the DD close (using post-DD high by default; configurable to close-source).
Today's DD is never invalidated immediately because there are no post-DD sessions to evaluate the 5% gain against.
Counting Conventions
d5_count/d15_count/d25_countcount active records withage_sessions <= N.- This means N+1 sessions are inspected (age 0..N inclusive). Reports therefore say "within N elapsed sessions" rather than "直近 N 取引日" to avoid ambiguity.
Risk Classification
| Risk | Trigger |
|---|---|
| NORMAL | d25 <= 2 |
| CAUTION | d25 >= 3 |
| HIGH | d25 >= 5 OR d15 >= 3 OR d5 >= 2 |
| SEVERE | d25 >= 6 OR d15 >= 4 OR (market_below_21ema_or_50ma AND d25 >= 5) |
What ships with it
24 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.
- config/default.yaml 1.1 KB
- references/ibd_distribution_methodology.md 4.4 KB
- references/tqqq_exposure_policy.md 2.5 KB
- requirements.txt 140 B
- scripts/_fmp_compat.py 4.9 KB runs code
- scripts/data_loader.py 3.0 KB runs code
- scripts/distribution_day_tracker.py 5.9 KB runs code
- scripts/exposure_policy.py 2.2 KB runs code
- scripts/fmp_client.py 17 KB runs code
- scripts/history_utils.py 1.9 KB runs code
- scripts/ibd_monitor.py 16 KB runs code
- scripts/math_utils.py 1.5 KB runs code
- scripts/models.py 2.3 KB runs code
- scripts/report_generator.py 5.8 KB runs code
- scripts/risk_classifier.py 1.9 KB runs code
- scripts/tests/conftest.py 315 B runs code
- scripts/tests/helpers.py 3.4 KB runs code
- scripts/tests/test_data_loader.py 3.4 KB runs code
- scripts/tests/test_distribution_day_tracker.py 14 KB runs code
- scripts/tests/test_exposure_policy.py 2.3 KB runs code
- scripts/tests/test_history_utils.py 2.0 KB runs code
- scripts/tests/test_math_utils.py 1.1 KB runs code
- scripts/tests/test_report_generator.py 3.1 KB runs code
- scripts/tests/test_risk_classifier.py 2.9 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.
- 13d ago First seen · 105 lines · 107 tokens per session scan A af7bda67bec7
ibd-distribution-day-monitor is a skill published in the GitHub repository tradermonty/claude-trading-skills (2,813 stars, last pushed today), licensed MIT. It adds 107 tokens to every session and 1,359 once invoked, about $0.0005 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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