analyzing-insider-buying-signals

Evaluates insider purchase patterns with cluster buying identification, historical signal analysis, and conviction scoring. Use when analyzing insider buying, assessing management confidence signals, or tracking insider activity patterns.

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Best use case

analyzing-insider-buying-signals is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Evaluates insider purchase patterns with cluster buying identification, historical signal analysis, and conviction scoring. Use when analyzing insider buying, assessing management confidence signals, or tracking insider activity patterns.

Teams using analyzing-insider-buying-signals should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/analyzing-insider-buying-signals/SKILL.md --create-dirs "https://raw.githubusercontent.com/CaseMark/skills/main/skills/capital/analyzing-insider-buying-signals/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/analyzing-insider-buying-signals/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How analyzing-insider-buying-signals Compares

Feature / Agentanalyzing-insider-buying-signalsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Evaluates insider purchase patterns with cluster buying identification, historical signal analysis, and conviction scoring. Use when analyzing insider buying, assessing management confidence signals, or tracking insider activity patterns.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Analyzing Insider Buying Signals

## When To Use

- Screening for management conviction signals ahead of catalyst events (earnings, restructurings, activist campaigns)
- Evaluating whether insider open-market purchases indicate asymmetric upside vs. routine compliance-window buying
- Building or validating an event-driven thesis where insider activity is a supporting data point
- Monitoring cluster buying patterns across multiple insiders at the same issuer within a compressed timeframe

## Inputs To Gather

- **SEC Form 4 filings** for the target issuer (all reporting persons, at least trailing 12 months; 24 months preferred)
- **Insider identity and role**: CEO, CFO, directors, 10%+ beneficial owners — role materially affects signal weight
- **Transaction details**: open-market purchases vs. option exercises, gift transactions, or 10b5-1 plan activity (filter out non-discretionary transactions)
- **Purchase size**: absolute dollar amount and percentage of insider's existing holdings (conviction proxy)
- **Company context**: market cap, recent price performance, upcoming catalysts, and current valuation multiples
- **Historical insider accuracy**: prior insider purchases at this issuer and subsequent 6/12-month returns
- **Peer/sector insider activity**: whether cluster buying is isolated or part of a broader sector pattern

## Workflow

1. **Pull and clean Form 4 data** — Extract all Section 16 filings for the target. Exclude derivative exercises, gifts, and automatic 10b5-1 plan transactions. Retain only discretionary open-market purchases and, separately, flag any open-market sales by the same insiders.

2. **Classify each transaction**
   - **Role weight**: C-suite and operating executives > independent directors > 10%+ holders (unless activist)
   - **Size weight**: purchases exceeding 10% of the insider's prior holdings or >$500K absolute are high-conviction [VERIFY — adjust thresholds for micro-cap vs. large-cap]
   - **Timing context**: purchases within 30 days post-earnings release, during open windows, or shortly after price dislocations carry different interpretive weight

3. **Identify cluster buying** — Flag instances where 3+ insiders purchase within a 30-day window. Cluster buying is the single strongest insider signal. Note any contradictory signals (e.g., one insider selling while others buy).

4. **Score conviction** — Assign a composite conviction score (1–5 scale):
   - **5 — Exceptional**: CEO/CFO + multiple directors cluster buying at sizes >20% of prior holdings, no offsetting sales, near 52-week lows
   - **4 — Strong**: Multiple C-suite purchases, meaningful dollar amounts, favorable timing
   - **3 — Moderate**: Single senior insider purchase of material size, or director cluster buying
   - **2 — Weak**: Small purchases, single director, or purchases during routine compliance windows with no unusual context
   - **1 — Noise**: Minimal dollar amounts, recent option exercises creating apparent "buys," or 10b5-1 plan artifacts

5. **Backtest insider track record** — Review prior insider purchases at this issuer over the past 3–5 years. Calculate hit rate (% of purchases followed by positive 6-month and 12-month excess returns vs. sector). Flag if insiders have a history of poorly timed purchases.

6. **Contextualize against thesis** — Map the insider signal against the broader investment thesis. Determine whether the buying confirms, contradicts, or is orthogonal to your catalyst thesis. Insider buying is a supporting factor, not a standalone thesis.

7. **Compile output report** — Structure findings per the Output section below.

## Output

Structure the analysis report with these sections:

- **Executive Summary**: One-paragraph signal assessment with conviction score and key takeaway
- **Transaction Detail Table**: Date, insider name, role, shares purchased, price, dollar amount, % of prior holdings, transaction type
- **Cluster Buying Analysis**: Timeline visualization of purchases, identification of clusters, offsetting sales
- **Conviction Score Breakdown**: Score with rationale for each sub-factor (role, size, timing, cluster, track record)
- **Historical Accuracy**: Table of prior insider purchases and subsequent returns at 3/6/12-month intervals
- **Contextual Factors**: Catalysts, valuation, sector activity, any contradictory signals
- **Limitations and Caveats**: Data gaps, assumptions made, factors that could reduce signal reliability

## Quality Checks

- Confirm all transactions are sourced from actual Form 4 filings, not aggregated third-party summaries that may omit transaction codes [VERIFY]
- Verify that 10b5-1 plan transactions have been correctly excluded — check for footnotes in Form 4 indicating pre-planned trades
- Ensure conviction scoring is consistent: same criteria applied across all insiders and time periods
- Cross-check for contemporaneous insider sales that would undercut the bullish signal
- Validate that historical return calculations use appropriate benchmarks (sector index, not just S&P 500)
- Flag any insiders subject to pending SEC enforcement actions or restatement risk, which would contaminate the signal
- Note that insider buying data has inherent reporting lags (Form 4 due within 2 business days but late filings are common) [VERIFY]

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