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Ibd Distribution Day Monitor skill

Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk (NORMAL/CAUTION/HIGH/SEVERE), and emit TQQQ/QQQ exposure recommendations. Use after market close, before TQQQ exposure changes, or as input to FTD/market-state frameworks. Does not execute trades.

$npx skills add tradermonty/claude-trading-skills --skill ibd-distribution-day-monitor
View this skill on GitHubtradermonty/claude-trading-skills/skills/ibd-distribution-day-monitor/SKILL.md
Pack stars
3,747
Pack installs
254k
Alyn Score
73/99
Updated
2 h ago
License
MIT
– views – installs via Alyn

Install Ibd Distribution Day Monitor

Pick your agent. Every command is ready to paste.

$npx skills add tradermonty/claude-trading-skills --skill ibd-distribution-day-monitor

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads ibd-distribution-day-monitor when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the ibd-distribution-day-monitor skill”. In Codex, type $ibd-distribution-day-monitor.

The skill itself

SKILL.md

FolderGitHub

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-DD for 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, or FMP_API_KEY env var (in that priority order).

Core Rules

A Distribution Day is detected when:

  1. Today's close is at least 0.2% below yesterday's close.
  2. 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_count count active records with age_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)

When both QQQ and SPY are loaded, QQQ-weighted overall logic applies (TQQQ-aware): a single SEVERE escalates to SEVERE; QQQ HIGH escalates to overall HIGH; QQQ NORMAL + SPY HIGH still escalates to HIGH (broad-market spillover).

TQQQ Exposure Policy

Risk Action Target Exposure Trailing Stop
NORMAL HOLD_OR_FOLLOW_BASE_STRATEGY 100% base
CAUTION AVOID_NEW_ADDS 75% min(base, 7%)
HIGH REDUCE_EXPOSURE 50% min(base, 5%)
SEVERE CLOSE_TQQQ_OR_HEDGE 25% min(base, 3%)

QQQ uses a less aggressive policy (HIGH=75%, SEVERE=50%) since it lacks 3x leverage.

Workflow

  1. Load OHLCV for the configured symbols via FMP (get_historical_prices).
  2. Validate data quality; record skipped sessions in audit.
  3. Rebase via prepare_effective_history so effective_history[0] is the evaluation session.
  4. Detect raw Distribution Days; enrich with high_since, invalidation event, and status.
  5. Count d5 / d15 / d25 active records.
  6. Compute 21EMA and 50SMA filters; flag market_below_21ema_or_50ma (None if data insufficient).
  7. Classify each index, then combine using QQQ-weighted policy.
  8. Generate portfolio action for the configured instrument.
  9. Write JSON + Markdown reports to --output-dir with API keys redacted.

Outputs

Saved to reports/ (or --output-dir):

  • ibd_distribution_day_monitor_YYYY-MM-DD_HHMMSS.json
  • ibd_distribution_day_monitor_YYYY-MM-DD_HHMMSS.md

JSON is UTF-8 with ensure_ascii=False (Japanese explanations preserved). Sensitive keys (api_key, fmp_api_key, token, etc.) are redacted automatically.

Operating Principles

  • Do not override the IBD rule definitions unless config/default.yaml is changed deliberately.
  • Always explain which dates contributed to the active count.
  • Treat missing or unreliable volume data as a warning (audit_flag), not as a Distribution Day.
  • Do not place trades. The portfolio action is a risk-management suggestion, not an execution instruction.

CLI

python3 skills/ibd-distribution-day-monitor/scripts/ibd_monitor.py \
  --symbols QQQ,SPY \
  --lookback-days 80 \
  --instrument TQQQ \
  --current-exposure 100 \
  --base-trailing-stop 10 \
  --output-dir reports/

API Requirements

FMP API key required. Free tier (250 calls/day) is sufficient for daily QQQ + SPY runs.

  • ftd-detector: Bottom confirmation via Follow-Through Days (counterpart of this top-side signal).
  • market-top-detector: Composite 0-100 top probability score using O'Neil distribution + other components.
  • position-sizer: Convert risk-management recommendations into share counts.

Tips for Ibd Distribution Day Monitor

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • This skill ships scripts. Read them before the first run, and run it in a project without secrets first.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 30 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Ibd Distribution Day Monitor

What does the Ibd Distribution Day Monitor skill do?

Detect IBD-style Distribution Days for QQQ/SPY (close down at least 0.2% on higher volume), track 25-session expiration and 5% invalidation, count d5/d15/d25 clusters, classify market risk (NORMAL/CAUTION/HIGH/SEVERE), and emit TQQQ/QQQ exposure recommendations. Use after market close, before TQQQ exposure changes, or as input to FTD/market-state frameworks. Does not execute trades.

How do I install Ibd Distribution Day Monitor?

Run "npx skills add tradermonty/claude-trading-skills --skill ibd-distribution-day-monitor" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Ibd Distribution Day Monitor work in Cursor and Codex?

Yes. Ibd Distribution Day Monitor uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Ibd Distribution Day Monitor free?

Ibd Distribution Day Monitor is open source on GitHub under the MIT license. It is free to install; check the license before commercial use.

Who made Ibd Distribution Day Monitor?

Ibd Distribution Day Monitor is published by tradermonty in the tradermonty/claude-trading-skills repository, together with 29 other skills.

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