analyzing-insider-transactions
Structures insider trading analysis with pattern identification and significance assessment. Use when tracking insider activity, analyzing Form 4 filings, or evaluating insider buying/selling patterns.
Best use case
analyzing-insider-transactions is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Structures insider trading analysis with pattern identification and significance assessment. Use when tracking insider activity, analyzing Form 4 filings, or evaluating insider buying/selling patterns.
Teams using analyzing-insider-transactions 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-insider-transactions/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-insider-transactions Compares
| Feature / Agent | analyzing-insider-transactions | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Structures insider trading analysis with pattern identification and significance assessment. Use when tracking insider activity, analyzing Form 4 filings, or evaluating insider buying/selling 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 Transactions ## When To Use - Evaluating insider buying or selling clusters ahead of earnings, catalysts, or corporate events - Screening Form 4 filings for actionable signals across a watchlist or sector - Building conviction around a long/short thesis using insider activity as confirming or contradicting evidence - Monitoring C-suite and director transaction patterns for governance or activist-investing research - Assessing whether insider selling reflects routine diversification versus informed pessimism ## Inputs To Gather - **Ticker(s) / Company identifiers** — single name or portfolio-level screen - **Time window** — lookback period (e.g., 90 days, 1 year, custom range) - **Filing data source** — SEC EDGAR Form 4 filings, third-party aggregators (e.g., OpenInsider, InsiderMonkey, Bloomberg OWNR) - **Insider scope** — all insiders, officers only, directors only, 10%+ beneficial owners - **Transaction types of interest** — open-market purchases, open-market sales, option exercises, gifts, 10b5-1 plan transactions - **Context data** — recent earnings dates, blackout window calendars, stock price history, compensation disclosures (DEF 14A) - **Benchmark** — sector/peer insider activity for relative comparison ## Workflow 1. **Extract filings** — Pull Form 4 data for the target company/companies within the specified window. Record for each transaction: filer name, title/relationship, transaction date, transaction code (P, S, M, G, etc.), shares transacted, price, shares owned post-transaction, and whether a 10b5-1 plan is indicated. 2. **Classify transactions** — Separate into categories: - Open-market purchases (Code P) — highest signal value - Open-market sales (Code S) — moderate signal; context-dependent - Option exercises and same-day sales (Code M + S) — generally low signal (compensation-driven) - Gifts (Code G) and private transactions (Code J, K) — typically noise for trading purposes - Planned 10b5-1 sales — lower signal; flag but de-weight 3. **Identify patterns** — Look for: - **Cluster buying/selling** — 3+ insiders transacting in the same direction within 30 days - **Magnitude** — transaction size relative to insider's existing holdings (>10% of position = meaningful) - **Dollar significance** — absolute dollar value of purchases/sales; purchases > $100K by officers carry more weight [VERIFY: adjust threshold for company market cap] - **Role weighting** — CEO/CFO transactions > VP-level > directors > 10% owners for information asymmetry - **Timing** — proximity to earnings, FDA decisions, M&A announcements, or end of blackout windows - **Reversal of pattern** — insider who has only sold for years begins buying, or vice versa 4. **Contextualize** — Evaluate each pattern against: - Stock price performance leading into the transactions (buying after a sell-off vs. buying at highs) - Compensation structure — heavy stock-based comp creates natural selling pressure that is not bearish - Liquidity events — IPO/SPAC lock-up expirations, estate planning, divorce - Peer comparison — is insider buying unusual for this sector, or is it sector-wide? - Regulatory filings — check 13D/13G amendments for activist accumulation 5. **Score and rank** — Assign a signal-strength rating to each transaction cluster: - **Strong bullish** — multiple officers buying open-market, material size, no 10b5-1, near 52-week low - **Moderate bullish** — single officer purchase, meaningful size, no planned sale offset - **Neutral** — routine 10b5-1 selling, option exercises, small transactions - **Moderate bearish** — cluster selling by officers outside of 10b5-1, especially after run-up - **Strong bearish** — CEO/CFO selling large portions of holdings, accelerating 10b5-1 plan amendments, multiple officers exiting simultaneously 6. **Synthesize** — Summarize the overall insider sentiment for the company with a clear directional conclusion or "insufficient data" determination. ## Output Structure the analysis report with these sections: - **Summary** — One-paragraph insider sentiment overview with signal rating and key takeaway - **Transaction table** — Tabulated filing data sorted by date, with columns: Date, Insider, Title, Type, Shares, Price, Value, Post-Txn Holdings, 10b5-1 Flag - **Pattern analysis** — Narrative identifying clusters, outliers, and role-weighted signals - **Contextual factors** — Compensation structure, blackout windows, price action, peer benchmarking - **Signal assessment** — Overall rating (Strong Bullish / Moderate Bullish / Neutral / Moderate Bearish / Strong Bearish) with reasoning - **Limitations** — Data gaps, caveats on 10b5-1 opacity, lag between transaction and filing dates [VERIFY: SEC requires Form 4 filing within 2 business days of transaction] ## Quality Checks - Confirm all Form 4 transaction codes are correctly classified — do not conflate option exercises (M) with open-market purchases (P) - Verify that 10b5-1 plan indicators are captured; omitting this flag inflates bearish signal from routine sales - Cross-check transaction dates against earnings blackout windows [VERIFY: company-specific blackout policy if available] - Ensure dollar values are calculated using the actual transaction price from the filing, not the closing price on that date - Validate that "shares owned post-transaction" figures are consistent across sequential filings for the same insider - Flag any late filings (filed beyond the 2-business-day deadline) as potential compliance concerns worth noting - Do not present insider transaction analysis as a standalone investment recommendation — frame as one input within a broader thesis
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