Receber por email
← Voltar para o catálogo

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.

262estrelas
Atualizado há 4 meses

Ver no GitHub ↗ Licença: MIT

Como adicionar

/plugin marketplace add staskh/trading_skills

O comando exato pode variar conforme o repositório. Confira o README no GitHub.

Para o autor da skill

Cole no README do seu repo

Mostra que sua skill está catalogada na Skillteca, gera backlink e tráfego rastreável.

[![Skillteca](https://www.skillteca.com.br/api/badge/insider-trading/svg)](https://www.skillteca.com.br/skills/insider-trading)

Skills relacionadas

Ver todas de Outros →

Alerta por categoria

Receba novas skills de Outros toda segunda

1 email curto, só com as skills novas de Outros. 4 minutos de leitura, sem spam, cancela com 1 clique.

Você confirma o email no primeiro envio. Sem spam. Cancela com 1 clique.

Ler descrição completa

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.
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.

Compartilhar X LinkedIn