Menu
Retrieves insider trading data and company news via Financial Datasets API. Use when asked about insider buys/sells, Form 4 filings, executive transactions, or company news.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Retrieves company financial statements, metrics, estimates, and segments via Financial Datasets API. Use when asked about revenue, earnings, margins, P/E, valuations, or financial health.
Retrieves stock and cryptocurrency price data via Financial Datasets API. Use when asked about stock prices, crypto prices, historical prices, or price performance.
Extracts content from SEC filings (10-K, 10-Q, 8-K) via Financial Datasets API. Use when asked about risk factors, MD&A, business descriptions, or SEC filing content.
Workflow for multi-step financial research requiring multiple data sources. Use for company comparisons, due diligence, comprehensive analysis, or complex financial questions.
| name | tracking-signals |
| description | Retrieves insider trading data and company news via Financial Datasets API. Use when asked about insider buys/sells, Form 4 filings, executive transactions, or company news. |
| Tool | Returns |
|---|---|
get_insider_trades | SEC Form 4 transactions (buys, sells, grants) |
get_news | Recent news articles |
Insider trades:
ticker: Requiredlimit: Default 100, max 1000filing_date_gte/filing_date_lte: Date filtersNews:
ticker: Requiredlimit: Default 10, max 100start_date/end_date: Optional date rangeStrong signals:
Weak signals:
Input: "Any insider buying at Apple?"
get_insider_trades(ticker: "AAPL", limit: 50, filing_date_gte: "2024-10-01")
Output: Filter for purchases, summarize: "Two Apple insiders bought stock in Q4: Tim Cook (CEO) purchased 50K shares at $178 ($8.9M), and Luca Maestri (CFO) bought 10K shares at $175 ($1.75M). Signal: Positive—executives buying with their own money."
Input: "What's happening with Tesla?"
get_news(ticker: "TSLA", limit: 10)
Output: Group by theme: "Recent Tesla news: (1) Q3 delivery numbers beat estimates, (2) Cybertruck production ramp, (3) FSD v12 rollout. Overall tone: Positive."
Input: "Insider activity at META before earnings"
get_insider_trades(ticker: "META", filing_date_gte: "2024-10-01", filing_date_lte: "2024-10-25")
Output: Note any unusual patterns: "No significant insider buying before META's Oct 30 earnings. Two directors sold under 10b5-1 plans (routine)."
Input: "NVDA news and insider sentiment"
get_news(ticker: "NVDA", limit: 10)
get_insider_trades(ticker: "NVDA", limit: 30)
Output: Combine signals: "News is bullish (AI demand, earnings beat). Insider activity is neutral (no recent open market buys, routine grant-related sales)."