mcpbeat

Ibd Distribution Day Monitor

baggat236/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.

28k tokens
context cost
the whole folder, loaded on every use
24
files
ships runnable scripts
1
copies elsewhere
how many repositories repackaged it
118
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/BaggaT236/AI-Trading-Skills --skill ibd-distribution-day-monitor

What comes with it

105 085 bytes besides the instruction
config/default.yaml
references/ibd_distribution_methodology.md
references/tqqq_exposure_policy.md
scripts/_fmp_compat.py
scripts/data_loader.py
scripts/distribution_day_tracker.py
scripts/exposure_policy.py
scripts/fmp_client.py
scripts/history_utils.py
scripts/ibd_monitor.py
scripts/math_utils.py
scripts/models.py
scripts/report_generator.py
scripts/risk_classifier.py
scripts/tests/conftest.py
scripts/tests/helpers.py
scripts/tests/test_data_loader.py
scripts/tests/test_distribution_day_tracker.py
scripts/tests/test_exposure_policy.py
scripts/tests/test_history_utils.py
scripts/tests/test_math_utils.py
scripts/tests/test_report_generator.py
scripts/tests/test_risk_classifier.py

The instruction itself

14 sections, as written by the author

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:

  • 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_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

  • Load OHLCV for the configured symbols via FMP (get_historical_prices).
  • Validate data quality; record skipped sessions in audit.
  • Rebase via prepare_effective_history so effective_history[0] is the evaluation session.
  • Detect raw Distribution Days; enrich with high_since, invalidation event, and status.
  • Count d5 / d15 / d25 active records.
  • Compute 21EMA and 50SMA filters; flag market_below_21ema_or_50ma (None if data insufficient).
  • Classify each index, then combine using QQQ-weighted policy.
  • Generate portfolio action for the configured instrument.
  • 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.

Repackaged in 1 other repositories

same content, different owner
tradermonty/claude-trading-skills open on GitHub →

How to use it

Copy the folder

Take baggat236/ibd-distribution-day-monitor from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

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