insider-trading

Analyze SEC Form 4 insider transactions to generate structured sentiment reports.

3|Updated May 9, 2026
One-click install
npx skills add https://github.com/severin-ye/OpenStock--Analyst --skill insider-trading
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: insider-trading
Source: https://github.com/severin-ye/OpenStock--Analyst/tree/main/src/investskill/plugins/us-stock-analysis/skills/insider-trading
Command: npx skills add https://github.com/severin-ye/OpenStock--Analyst --skill insider-trading

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of turning noisy SEC Form 4 insider transaction activity into a clear, decision-ready buy/hold/sell style interpretation based on insider sentiment, transaction significance, and ownership trends.

Core Features & Use Cases

  • Insider sentiment & pattern detection: Summarizes buys vs sells over the last 6–12 months, computes a net sentiment score, and flags meaningful timing clusters and reliability considerations.
  • Significant transaction spotlighting: Identifies and analyzes large or unusual trades (e.g., >$1M value, >10% holding changes, executive trades, or clustered activity) and interprets them as bullish/bearish/neutral signals.
  • Role-based and code-based interpretation: Breaks down transactions by executive/board/major shareholder categories and interprets SEC Form 4 transaction codes, including attention to 10b5-1 plan context.

Quick Start

Use the insider-trading skill for AAPL to generate a comprehensive insider trading analysis report from recent SEC Form 4 filings, including sentiment, significant transactions, red flags, and investment implications.

Frequently Asked Questions about insider-trading

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I analyze SEC Form 4 insider transactions for a specific stock ticker?

Analyzing SEC Form 4 insider transactions involves parsing recent filings for a specific ticker to summarize buy versus sell volumes, calculate a net insider sentiment score, and detect significant trades or warning patterns. This generates a structured investment-grade report detailing ownership trends and actionable implications.

What do SEC Form 4 transaction codes and 10b5-1 plans indicate about insider selling pressure?

SEC Form 4 transaction codes and 10b5-1 plans indicate whether insider trades are pre-planned or discretionary. Interpreting these codes by grouping transactions into executive, board, and major shareholder categories helps distinguish routine automated selling from active sentiment-driven trading pressure.

How can I spot red flags in insider trading patterns over a 6 to 12 month period?

Spotting red flags in insider trading patterns requires summarizing transaction counts and total value over a 6 to 12 month window to identify unusual timing clusters. Significant transactions like large executive sells or major holding changes are flagged to interpret bullish or bearish market signals.

Can I generate a net insider sentiment score without manually parsing individual ownership trend filings?

Generating a net insider sentiment score without manual parsing requires aggregating SEC Form 4 activity into transaction counts and values. The system automatically groups trades by insider categories and transaction codes to produce a decision-ready buy, hold, or sell interpretation.

What is the best way to identify significant insider trades that impact investment decisions?

The best way to identify significant insider trades is to spotlight transactions exceeding specific thresholds like one million dollars in value or 10% holding changes. Evaluating these clustered activities alongside executive roles yields clear bullish or bearish investment implications.

Are insider trading sentiment scores reliable when 10b5-1 plans are active?

Insider trading sentiment scores have reliability considerations when 10b5-1 plans are active because these automated plans indicate pre-scheduled transactions rather than reactive market sentiment. Factoring in this specific transaction code context is essential to avoid misinterpreting routine sales as bearish red flags.