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.