Ibd Distribution Day Monitor logo

Ibd Distribution Day Monitor

CommunityPopular
tradermonty
ibd-distribution-day-monitor

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.

Overview

Publishertradermonty
Repositoryclaude-trading-skills
Skill nameibd-distribution-day-monitor
Stars
2.8K
Forks
647
Bundled files
24
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 24 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tradermonty on GitHub. Read the source before you install it.

Installation

Install the Ibd Distribution Day Monitor AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/tradermonty/claude-trading-skills.git /tmp/claude-trading-skills
mkdir -p .claude/skills
cp -r /tmp/claude-trading-skills/skills/ibd-distribution-day-monitor .claude/skills/ibd-distribution-day-monitor
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ibd Distribution Day Monitor in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ibd Distribution Day Monitor on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ibd Distribution Day Monitor is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

RiskTrigger
NORMALd25 <= 2
CAUTIONd25 >= 3
HIGHd25 >= 5 OR d15 >= 3 OR d5 >= 2
SEVEREd25 >= 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

RiskActionTarget ExposureTrailing Stop
NORMALHOLD_OR_FOLLOW_BASE_STRATEGY100%base
CAUTIONAVOID_NEW_ADDS75%min(base, 7%)
HIGHREDUCE_EXPOSURE50%min(base, 5%)
SEVERECLOSE_TQQQ_OR_HEDGE25%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

bash
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.

Related Skills

  • 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Ibd Distribution Day Monitor AI 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.

Why use Ibd Distribution Day Monitor on TypingMind?

Because you install it once and use it with any model. Ibd Distribution Day Monitor is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ibd Distribution Day Monitor in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tradermonty/claude-trading-skills/tree/main/skills/ibd-distribution-day-monitor. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Ibd Distribution Day Monitor?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ibd Distribution Day Monitor?

As many as you like. As long as a model supports skills, you can use Ibd Distribution Day Monitor with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ibd Distribution Day Monitor AI skill free?

Yes. It is published on GitHub by tradermonty under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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