# Insider Trading

> Get insider trading activity (SEC Form 4 filings) for one or more stocks. Use when user asks about insider buying/selling, executive transactions, insider sentiment, or Form 4 activity.

- **Type:** Skill
- **Install:** `agentstack add skill-staskh-trading-skills-insider-trading`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [staskh](https://agentstack.voostack.com/s/staskh)
- **Installs:** 0
- **Category:** [Finance & Payments](https://agentstack.voostack.com/c/finance-and-payments)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [staskh](https://github.com/staskh)
- **Source:** https://github.com/staskh/trading_skills/tree/main/.claude/skills/insider-trading

## Install

```sh
agentstack add skill-staskh-trading-skills-insider-trading
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# Insider Trading

Fetch recent insider transactions from Yahoo Finance (SEC Form 4 data).

## Instructions

> **Note:** If `uv` is not installed or `pyproject.toml` is not found, replace `uv run python` with `python` in all commands below.

```bash
uv run python scripts/insider_trading.py SYMBOLS [--days DAYS]
```

## Arguments

- `SYMBOLS` - Single ticker or comma-separated list (e.g., `NVDA` or `NVDA,PLTR,GOOG`)
- `--days` - Trailing days to look back (default: 90)

## Output

Returns JSON with:
- `transactions` - List of insider trades with insider name, role, transaction type, shares, price, value, date, ownership type
- `summary` - Net sentiment (`net_buying`, `net_selling`, `neutral`), buy/sell counts and values

For multiple symbols, results are ranked by net buying value (most buying first).

## Use Cases

- *"Show me insider buys for NVDA in the last 90 days"*
- *"Compare insider activity across NVDA, PLTR, GOOG"*
- *"Which of these stocks has the most insider selling recently?"*

## Dependencies

- `yfinance`

## Timezone

All timestamps and time-based calculations must use the `America/New_York` timezone. All JSON output must include `generated_at` (NY time string) and `data_delay` fields.

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [staskh](https://github.com/staskh)
- **Source:** [staskh/trading_skills](https://github.com/staskh/trading_skills)
- **License:** MIT

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-staskh-trading-skills-insider-trading
- Seller: https://agentstack.voostack.com/s/staskh
- Browse the marketplace: https://agentstack.voostack.com/browse

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Listed on AgentStack — the marketplace for AI agent skills and MCP servers. Every listing is security-reviewed. Creators keep 70%.